Plagiarism detection is the process of finding similarities on electronic based documents. Recently, this process is highly required because of the large number of available documents on the internet and the ability to copy and paste the text of relevant documents with simply Control+C and Control+V commands. The proposed solution is to investigate and develop an easy, fast, and multi-language support plagiarism detector with the easy of one click to detect the document plagiarism. This (...) process will be done with the support of intelligent system that can learn, change and adapt to the input document and make a cross-fast search for the content on the local repository and the online repository and link the content of the file with the matching content everywhere found. Furthermore, the supported document type that we will use is word, text and in some cases, the pdf files –where is the text can be extracting from them- and this made possible by using the DLL file from Word application that Microsoft provided on OS. The using of DLL will let us to not constrain on how to get the text from files; and will help us to apply the file on our Delphi project and walk throw our methodology and read the file word by word to grantee the best working scenarios for the calculation. In the result, this process will help in the uprising the documents quality and enhance the writer experience related to his work and will save the copyrights for the official writer of the documents by providing a new alternative tool for plagiarism detection problem for easy and fast use to the concerned Institutions for free. (shrink)

Academic integrity is an essential pillar of any educational system. It is defined as acting in a manner consistent with the values and accepted standards of ethical practices in teaching, learning, and scholarship (Fishman, 2015). Contract cheating, or ghostwriting, is currently one of the most severe violations of academic integrity. It involves students engaging a third party, usually an online essay writing service, to complete their academic works on their behalf (Draper et al., 2021). Some of these services offer (...) pre-written essays, whereas others offer bespoke custom-written essays. According to the academic literature, the advent of the internet and digital technologies underlay this rapid deterioration of academic integrity (Ison, 2020; Lancaster & Clarke, 2014). Different learning environments, such as face-to-face (i.e., a learning environment involving the physical presence of both instructor and students) and online web-based (i.e., teaching mode that takes place partially or entirely over the internet), have been shown to affect academic integrity in different ways (Eshet et al., 2021). While contract cheating is common in both conventional face-to-face (F2F) and online settings, it is more likely to take place in the latter (Lancaster & Clarke, 2014; Slade et al., 2018). There are several possible explanations for why online students engage in contract cheating more often than F2F students. In particular, this includes the problem issue of psychological distance, which adversely affects interpersonal relationships; and the problem issue of moral distancing, because the internet can obscure the line between academically honest and dishonest behavior (Sharma & Maleyeff, 2003). These issues were further exacerbated by the sudden shift from F2F to emergency remote teaching (ERT) in response to the COVID-19 pandemic (Ahsan et al., 2021; Bjelobaba, 2021). Indeed, contract cheating had become a significant COVID-19 side effect for higher education institutions. In contrast to the well-planned F2F or online learning courses, ERTbased courses are not originally designed to be delivered virtually (Fatonia et al., 2020). The chaos brought by the abrupt campus closure and related unexpected transition to ERT provided both the opportunity and the incentive for contract cheating (Hill et al., 2021). Through social media, students have very quickly become fully aware of the possibilities of a wide variety of options to carry out Plagiarism (Bautista et al., 2022). There has been an increase in ways to try to bypass text-matching or text-reuse (i.e., plagiarism) detection systems, for example using micro-spaces, white ink, punctuation, and typos (Abdelhamid et al., 2022). Even though ghostwriters, especially commercial ones, claim their essays are original and therefore cannot be detected using text-matching software, third-party assignments may still contain recycled text (Aitken et al., 2017; Newton & Lang, 2015). Text matching detection software could use these breaches to identify outsourced academic work (Lancaster & Clarke, 2016; Wang & Xu, 2021). This study compared about four thousand term papers written in languages other than Hebrew. (shrink)

For any new internet-based product, service, or technology to succeed, it must satisfy the criterion of providing access to or creating a network of possible users, products, and services. This is the Conceptual Access-Network (CANTOR) Thesis proposed. In addition to the main issues of success and how and why internet technology evolves, the principle can also meet the objective of explaining what underlies a range of traditional and nontraditional technologies beyond the internet. Through qualitative exploration, (...) the tenets of the access-network thesis are applied to natural and synthetic forms of endocrine substances including insulin and highways. A discussion of technologically generated knowledge is included, as well as how phenomenotechnique can be used to establish a communication path between technology and what it produces. Dr. Stanley Milgram's intimate stranger phenomenon which was first explored in 1967, before the internet existed, will ultimately be distorted by the future of internet-based technologies. As previously discovered or established concepts are combined or permuted, the future will display numerous manifestations, combinations, and permutations. We conclude that successful internet-based products, services, or technologies simply would not work without an access network. From this article, we have gained a better understanding of the current development stage of internet-based products and technology, thereby enabling society to better anticipate the future of internet-based products and technology, highlight significant ethical considerations, and avoid unwanted outcomes. (shrink)

The Internet of Things (IoT) wireless LAN in healthcare has moved away from traditional methods that include hospital visits and continuous monitoring. The Internet of Things allows the use of certain means, including the detection, processing and transmission of physical and biomedical parameters. With powerful algorithms and intelligent systems, it will be available to provide unprecedented levels of critical data for real-time life that are collected and analyzed to guide people in research, management and emergency care. This (...) chapter provides a quick overview of IoT features and how they relate to wireless discovery and technology to deploy the medical applications you need. In the world, the revolution in any industry is to connect your products and devices to the Internet and make them independent and remotely connected, so that anyone can use and view them from anywhere and anytime. The Internet of Things provides us with a home automation system that uses smart devices to overcome this obstacle, allowing us to easily manage our appliances. A smart city is a vision to integrate a variety of information and communication solutions for residents with essential services, such as smart parking on all streets. The main motivation for using the Internet for parking objects is simply collecting data to get free parking. The IoT-based RTSSPS architecture is divided into three parts: a WSN-based smart street parking module, an IoT-based smart street parking module, and an IoT-based smart street parking module. IoT-based cloud with street parking algorithm, rating and future directions. (shrink)

This study assessed the professional variables of academic staff in African varsities and their readiness to Utilise Internet-Based Channels for Research Communication in an era of Covid-19. Drawing from Maslow’s hierarchy of needs theory, the study was guided by four null hypotheses. The quantitative research method based on the virtual cross-sectional survey design was adopted. A total of 8,591 academics in African universities were the targeted demographic of this study. However, data were collected from a virtual snowball (...) sample of 1,977 respondents (males, N = 1347; females, N = 630) from 24 African countries. A validated electronic survey, with three major aspects, was employed for data collection. The e-survey was released on the Association of African Universities' Telegram forum, which includes 1,622 participants from diverse African nations and regions. Members of the forum, who are all academics, were invited to complete the survey and publish it on their universities' internet-based forums. Coded data were analysed using descriptive and inferential statistics such as the Kruskal Wallis Non-parametric test. The non-parametric test was used because the data failed to meet the normality assumptions required to perform a parametric test. Results indicated, amongst others, that there are considerable variances in staff preparedness to use internet-based channels for research communication based on their educational credentials, educational qualification, rank and areas of research interest. According to the survey, academics with a doctoral degree; grade II lecturers; staff with 3 to 6 years of service; and staff in the medical sciences demonstrated a higher propensity of readiness to use internet-based channels for research communication. Based on these findings key theoretical, practical and research implications are discussed. (shrink)

Issues on plagiarism among pre-service teachers (PSTs) have increased in modular and online learning. To confirm this, the study determined the PSTs’ level of awareness on plagiarism; their knowledge on referencing and citation; and the correlation between their level of awareness on plagiarism and knowledge on referencing and citation, with their academic performance. The study employed a descriptive-correlational research design participated by 235 PSTs randomly sampled through strata. The data were gathered through a web-based survey. (...) Results showed that the PSTs’ level of awareness of plagiarism was moderate, while the majority have fair knowledge in referencing and citation. Also, results showed a significant relationship among the level of awareness on plagiarism, knowledge on referencing and citation, and academic performance. It is recommended that institutions equip librarians and educators to teach PSTs about citation and referencing skills. Besides, the institution should make sure that a policy is implemented to pursue academic integrity. This policy must articulate the various types of plagiarism, plagiarism measurement, and fair and consistent disciplinary actions. (shrink)

The aim of this survey was to explore the attitudes towards gender selection, focusing on people who were affected by infertility and also familiar with advanced technologies such as the internet. Although this survey is based almost exclusively on answers from women, it seems reasonable to conclude that a widely available service for preconception sex selection for non-medical reasons would not cause a severe gender imbalance in Germany.

The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. (...) This results in Big Data congestion, data management, storage issues and various inefficiencies. Fog Computing aims at solving the issues with data management as it includes intelligent computational components and storage closer to the data sources. Often, an IoT-enabled infrastructure is shared among many users with various requirements. Sharing resources, sharing operational costs and collective decision making (consensus) among many stakeholders is frequently neglected. This research addresses an essential requirement for adaptive, autonomous and consensus-based Fog computational solutions which are able to support distributed and in-network schemes and policies. These network schemes and policies need to meet the requirements of many users. In this work, innovative consensus-based computational solutions are investigated. These proposed solutions aim to correlate and organise data for effective management and decision making in Fog. Instead of individual decision making, the algorithms aim to aggregate several decisions into a consensus decision representing a collective agreement, benefiting from the individuals variant knowledge and meeting multiple stakeholders requirements. In order to validate the proposed solutions, hybrid research methodology is involved that includes the design of a test-bed and the execution of several experiments. In order to investigate the effectiveness of the paradigm, three experiments were designed and validated. Real-life sensor data and synthetic statistical data was collected, processed and analysed. Bayesian Machine Learning models and Analytics were used to consolidate the design and evaluate the performance of the algorithms. In the Fog environment, the first scenario tests the Aggregation by Distribution algorithm. The solution contribute in achieving a notable efficiency of data delivery obtained with a minimal loss in precision. The second scenario validates the merits of the approach in predicting the activities of high mobility IoT applications. The third scenario tests the applications related to smart home IoT. All proposed Consensus algorithms use statistical analysis to support effective decision making in Fog and enable data aggregation for optimal storage, data transmission, processing and analytics. The final results of all experiments showed that all the implemented consensus approaches surpass the individual ones in different performance terms. Formal results also showed that the paradigm is a good fit in many IoT environments and can be suitable for different scenarios when applying data analysis to correlate data with the design. Finally, the design demonstrates that Fog Computing can compete with Cloud Computing in terms of accuracy with an added preference of locality. (shrink)

The Internet of Things (IoT) is a rapidly growing technology that connects and integrates billions of smart devices, generating vast volumes of data and impacting various aspects of daily life and industrial systems. However, the inherent characteristics of IoT devices, including limited battery life, universal connectivity, resource-constrained design, and mobility, make them highly vulnerable to cybersecurity attacks, which are increasing at an alarming rate. As a result, IoT security and privacy have gained significant research attention, with a particular focus (...) on developing anomaly detection systems. In recent years, machine learning (ML) has made remarkable progress, evolving from a lab novelty to a powerful tool in critical applications. ML has been proposed as a promising solution for addressing IoT security and privacy challenges. In this article, we conducted a study of the existing security and privacy challenges in the IoT environment. Subsequently, we present the latest ML-based models and solutions to address these challenges, summarizing them in a table that highlights the key parameters of each proposed model. Additionally, we thoroughly studied available datasets related to IoT technology. Through this article, readers will gain a detailed understanding of IoT architecture, security attacks, and countermeasures using ML techniques, utilizing available datasets. We also discuss future research directions for ML-based IoT security and privacy. Our aim is to provide valuable insights into the current state of research in this field and contribute to the advancement of IoT security and privacy. (shrink)

The Internet of Things (IoT) connects schemes, programs, data management, and operations, and as they continuously assist in the corporation, they may be a fresh entryway for cyber-attacks. Presently, illegal downloading and virus attacks pose significant threats to IoT security. These risks may acquire confidential material, causing reputational and financial harm. In this paper hybrid optimization mechanism and deep learning,a frame is used to detect the attack prevention in IoT. To develop a cybersecurity warning system in a huge data (...) set, the cybersecurity warning systems index system is first constructed, then the index factors are picked and measured, and finally, the situation evaluation is done.Numerous bio-inspired techniques were used to enhance the productivity of an IDS by lowering the data dimensionality and deleting unnecessary and noisy input. The Grey Wolf Optimization algorithm (GWO) is a developed bio-inspired algorithm that improves the efficacy of the IDS in detecting both regular and abnormal congestion in the network. The smart initialization step integrates the different pre-processing strategies to make sure that informative features are incorporated in the early development stages, has been improved. Researchers pick multi-source material in a big data environment for the identification and verification of index components and present a parallel reduction approach based on the classification significance matrix to decrease data underlying data characteristics. For the simulation of this situation, grey wolf optimization and whale optimization were combined to detect the attack prevention and the deep learning approach was presented. Utilizing system software plagiarism, the TensorFlow deep neural network is intended to classify stolen software. To reduce the noise from the signal and to zoom the significance of each word in the perspective of open-source plagiarism, the tokenization and weighting feature approaches are utilized. Malware specimens have been collected from the Mailing database for testing purposes. The experimental findings show that the suggested technique for measuring cyber security hazards in IoT has superior classification results to existing methods. Hence to detect the attack prevention in IoT process Whale with Grey wolf optimization (WGWO) and deep convolution network is used. (shrink)

The integration of Internet Protocol and Embedded Systems can enhance the communication platform. This paper describes the emerging smart technologies based on Internet of Things (IOT) and internet protocols along with embedded systems for monitoring and controlling smart devices with the help of WiFi technology and web applications. The internet protocol (IP) address has been assigned to the things to control and operate the devices via remote network that facilitates the interoperability and end-to-end communication among (...) various devices c,onnected over a network. The HTTP POST and HTTP GET command that supports the RESTful service have been used to ensure the transmission and reception of packets between the IOT Gateway and Cloud Database. The emerging smart technologies based on the Internet of Things (IoT) facilitated features like automation, controllability, interconnectivity, reliability which in turn turn paved the way for a wide range of acceptance amongst the masses. The Internet of Things (IoT) has brought in many new emerging technologies into varoius field like our daily lives, industry, agricultural sector, and many more. The world is experiencing the explosive growth with the advent of Internet of Things (IoT) these years. The potential growth of IoT is enoromous which is evidenced by all the human beings in our day to day life. (shrink)

In China, plagiarism among undergraduate students has been a protuberant issue preventing the robust development of tertiary education. The purpose of this Interpretative Phenomenological Analysis (IPA) research was to acquire a profound understanding of the essence of the phenomenon through the process of students’ research writing at Shaoyang University (SYU), a southern Chinese University. Employing a step-wise combination of purposive and random sampling techniques, 11 participants were selected to partake in the study’s online, face-to-face, and one-on-one semi-structured interviews. On (...) completion of data analysis, seven themes emerged: poor literacy about plagiarism; few learning experiences related to plagiarism; disapproval of plagiarism with different tolerance levels; difficulties encountered during academic writing; sophistication in detouring the plagiarism detecting tool; reasons for committing plagiarism; and under-evaluation of disciplinary study. Based upon the rich findings, the study proposed a preliminary holistic solution to mitigate plagiarism, with school administration, policy makers, instructors, and students performing and abiding to their respective roles, and with the literacy education related to plagiarism at the center. (shrink)

Summary Background Self-binding directives instruct clinicians to overrule treatment refusal during future severe episodes of illness. These directives are promoted as having potential to increase autonomy for individuals with severe episodic mental illness. Although lived experience is central to their creation, service users’ views on self-binding directives have not been investigated substantially. This study aimed to explore whether reasons for endorsement, ambivalence, or rejection given by service users with bipolar disorder can address concerns regarding self-binding directives, decision-making capacity, (...) and human rights. Methods This study used qualitative data from an internet-based survey distributed to the mailing list of the UK charity Bipolar UK, which contained multiple closed and open questions on advance decision-making in bipolar disorder. Quantitative analysis of a closed question about self-binding directives had already demonstrated endorsement amongst a very high proportion of participants with bipolar disorder who completed the survey. We conducted thematic analysis of responses from those participants who answered a subsequent open question about reasons for their view. Research was co-produced within a multi-disciplinary team, with clinical, legal, and ethical expertise, and lived experience of bipolar disorder. Ideas and methodologies associated with all these areas of expertise were used in the analysis of these reasons and to gain insight into the thoughts of individuals with bipolar disorder about self-binding directives and associated issues. Findings Between Oct 23 and Dec 5, 2017, 932 individuals with a self-reported clinical diagnosis of bipolar disorder completed the internet survey, with 565 (154 men; 400 women; 11 transgender or other) providing free text answers to the open question. A large majority of respondents endorsed self-binding directives, nearly all describing a determinate shift to types of distorted thinking and decision-making when unwell as their key justification. Responses indicating ambivalence were dominated by logistical concerns about the drafting and implementation of self-binding directives, while those who rejected self-binding directives also cited logistical concerns, validity of their thinking when unwell, and potential contravention of human rights. Interpretation This study is, to our knowledge, the first large study of reasons why mental health service users might endorse or reject the use of self-binding directives. The findings provide empirical support for introducing self-binding directives into mental health advance decision-making practice and policy and may help to address enduring ethical concerns surrounding possible implementation of the directive while a person retains decision-making capacity. The opinions expressed here in responses given by multiple service users with bipolar disorder challenge a prominent view within international disability rights debates that involuntary treatment and recognition of impaired mental capacity constitute inherent human rights violations. Funding The Wellcome Trust . (shrink)

The main objective of our project is to construct a fully functional voice-based home automation system that uses the Internet of Things and Natural Language Processing. The home automation system is user-friendly to smartphones and laptops. A set of relays is used to connect the Node MCU to homes under controlled appliances. The user sends a command through the speech to the mobile devices, which interprets the message and sends the appropriate command to the specific appliance. The voice (...) command given by the user is interpreted by the mobile device using Natural Language Processing. The system utilizes a node microcontroller unit (Node MCU) as a Wi-Fi-based gateway to connect to the Google Assistant. It determines operation must be completed by which the appliance to fulfill the user’s request. The user increased mobile capabilities we will be using a smart phone in this project. A smartphone application as nearly all of the data transferred can be processed by cloud. The user increased mobile capabilities we will be using a smart phone in this project. The IoT -based system for home automation can easily and efficiently control appliances. The Node MCU is interfaced with the appliances and programmed in a manner that they respond to mobile inputs. (shrink)

Anamoly detection in videos plays an important role in various real-life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Nowadays, there has been a rise in the amount of disruptive and offensive activities that have been happening. Due to this, security has been given principal significance. Public places like shopping centers, avenues, banks, etc. are increasingly being equipped with CCTVs to guarantee the security of individuals. Subsequently, this inconvenience is (...) making a need to computerize this system with high accuracy. Since constant observation of these surveillance cameras by humans is a near-impossible task. It requires workforces and their constant attention to judge if the captured activities are anomalous or suspicious. Hence, this drawback is creating a need to automate this process with high accuracy. Moreover, there is a need to display which frame and which parts of the recording contain the uncommon activity which helps the quicker judgment of that unordinary action being unusual or suspicious. Therefore, to reduce the wastage of time and labour, we are utilizing deep learning algorithms for Automating Threat Recognition System. Its goal is to automatically identify signs of aggression and violence in real-time, which filters out irregularities from normal patterns. We intend to utilize different Deep Learning models (CNN and RNN) to identify and classify levels of high movement in the frame. From there, we can raise a detection alert for the situation of a threat, indicating the suspicious activities at an instance of time and spray the smoke spray. (shrink)

RESUMO A inseminação artificial em tempo fixo (IATF) é uma das biotecnologias de reprodução mais estudadas dos últimos anos, e a busca pelo equilíbrio entre a fisiologia animal e o controle hormonal fomenta uma série de estudos. Sendo assim, o objetivo com este trabalho foi avaliar a eficiência da aplicação do hormônio liberador de gonadotrofinas (GnRH) no dia zero (D0) do protocolo de IATF, a base de estrógeno e progesterona sobre a taxa de penhez por IATF. O experimento foi desenvolvido (...) na Universidade Federal de Uberlândia (UFU), na Fazenda Experimental do Glória, localizada no município de Uberlândia, no estado de Minas Gerais. Foram avaliadas 69 inseminações de vacas leiteiras mestiças, divididas em dois grupos com diferentes protocolos; Controle: sem aplicação de GnRH e Tratamento: aplicação de GnRH no dia zero do protocolo. Todos os animais foram inseminados com sêmen previamente analisado. O diagnóstico de gestação foi realizado 32 dias após a inseminação, com aparelho de ultrassonografia equipado com probe linear transretal de 7,5 MHz. Os dados foram analisados por análise descritiva, sendo avaliado o efeito da relação protocolo e presença de corpo lúteo no início do protocolo e efeito da relação protocolo e ordem de IA Pós-Parto sobre a taxa de concepção. A taxa de concepção após a realização do Protocolo Tratamento foi de 53% (17/32) e do Protocolo Controle foi de 43% (16/37). Portanto, conclui-se que o protocolo de sincronização de vacas leiteiras mestiças com a aplicação de GnRH no dia zero do protocolo resultou em um aumento no número da taxa de concepção de vacas leiteiras mestiças. Palavras-chave: biotecnologia; bovinocultura; hormônio; ovulação; reprodução. ABSTRACT The artificial insemination at fixed time (AIFT) is one of the most studied reproduction biotechnologies in recent years, and the search for a balance between animal physiology and hormonal control fosters a series of studies. Therefore, the objective of this work was to to evaluate the efficiency of gonadotrofine hormone inducer (GnRH) on day zero (D0) of the AIFT protocol, an estrogen and progesterone base on an AIFT rate. The experiment was developed at the Federal University of Uberlândia (UFU), at the Experimental Farm of Glória, located in the municipality of Uberlândia, in the state of Minas Gerais. Were evaluated 69 inseminations of crossbred dairy cows divided into two groups with different protocols; Control: without application of GnRH and Treatment: application of GnRH on day zero of the protocol. All animals were inseminated with previously analyzed semen. The diagnosis of pregnancy was performed 32 days after insemination, with an ultrasound device equipped with a 7.5 MHz transrectal linear probe. The data were analyzed by descriptive analysis, evaluating the effect of the protocol relationship and the presence of corpus luteum at the beginning of the protocol and the effect of the protocol relationship and postpartum AI order on the conception rate. The conception rate after performing of the Treatment Protocol was 53% (17/32) and the Control Protocol was 43% (16/37). Therefore, it is concluded that the synchronization protocol of crossbred dairy cows with the application of GnRH on day zero of the protocol resulted in an increase in the number of conception rates of crossbred dairy cows. Keywords: biotechnology; cattle breeding; hormone; ovulation; reproduction. -/- REFERÊNCIAS BIBLIOGRÁFICAS ATANASOV, A. S.; DINEVA, J. D.; YOTOV, S. A. 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Fisiologia Clínica do Ciclo Estral de Vacas Leiteiras: Desenvolvimento Folicular, Corpo Lúteo e Etapas do Estro. 2020. DA SILVA, Emanuel Isaque Cordeiro. Fisiologia da Reprodução de Bovinos Leiteiros: Aspectos Básicos e Clínicos. Emanuel Isaque Cordeiro da Silva, 2022. DA SILVA, Emanuel Isaque Cordeiro; DA SILVA, Emanuel Isaque. Hormônios e Sistema Endócrino na Reprodução Animal. 2020. D’AVILA, C. A. et al. Hormônio utilizados na indução da ovulação em bovinos. Revista Brasileira de Reprodução Animal. Belo Horizonte, v. 43, n. 4, p. 797-802, out./dez.2019. Disponível em:. Acesso em: 25 de jan. 2022. DEMÉTRIO, D.G.B. et al. Factors affecting conception rates following artificial insemination or embryo transfer in lactating Holstein cows. Journal of Dairy Science, v.90, p.5073-5082, 2007. DUARTE JUNIOR, M. F. et al. Aspectos relacionados a fisiologia do anestro pós parto em bovinos. Colloquium Agrariae, Cuiabá, v.9, p.43-71, 2013. DUKES, H. H.; SWENSON, M. J.; REECE, W. Dukes fisiologia dos animais domésticos. 12. ed. Rio de Janeiro: Guanabara Koogan, 2006. FERREIRA, A. M. Reprodução da fêmea bovina: fisiologia aplicada e problemas mais comuns (causas e tratamentos). Juiz de Fora: Edição do Autor, 2010. FINK, G. Gonadotropin secretion and its control. In: KNOBIL, E.; NEILL, J. (ed.), The physiology of reproduction. New York: Raven Press, 1988. p. 1349-1377. FOLMAN, Y. et al. Comparison of methods for the synchronization of estrous cycles in dairy cows. 2. Effects of progesterone and parity on conception. Journal of Dairy Science, v.73, p.2817-2825, 1990. FONSECA, F. A. et al. Reproductive traits of Holsteins and Jerseys. Effects of age, milk yield, and clinical abnormalities on involution of cervix and uterus, ovulation, estrous cycles, detection of estrus, conception rate, and days open. Journal of Dairy Science, v.66, p.1128- 1147, 1983. FORTUNE, J. E.; RIVERA, G. M.; YANG, M. Y. Follicular development: the role of the follicular microenvironment in selectionof the dominant follicle. Animal Reproduction Science, v.82-83, p.109-126, 2004. FURTADO, D. A. et al. Inseminação Artificial em Tempo Fixo em Bovinos de Corte. Revista Científica Eletrônica de Medicina Veterinária, n. 16, pag. 25, 2011. GINTHER O. J. et al. Selection of the dominant follicle in cattle. Biology of Reproduction, v.55, p.1187-1194, 1996. GONZÁLEZ, F. H. D. Introdução à endocrinologia reprodutiva veterinária. Porto Alegre: UFRGS, 2002. 87p. Disponível em:. Acesso em: 12 dez. 2022. HAFEZ, E. S. E.; HAFEZ, B. Ciclos Reprodutivos. In: HAFEZ, E. S. E.; HAFEZ, B. Reprodução Animal, 7. ed. Barueri, SP: Ed. Manole, 2004. cap. 4, p. 55-67. IBGE – INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA. Produção de Leite. IBGE, 2021. LOPES, P. F. R.; RICARDO, P. Y.; LUIZ, C. T. Custos e escala de produção na pecuária leiteira: estudo nos principais estados produtores do Brasil. Revista de Economia e Sociologia Rural, 2007. v. 45, n. 3. Disponível em:. Acesso em: 08 fev. 2022. MADUREIRA, E. H. et al. Sincronização com prostágenos. In: I Simpósio Internacional de Reprodução Animal Aplicada. Londrina, Faculdade de Medicina Veterinária e Zootecnia. Universidade de São Paulo, p. 117-128, 2004. MARTEL, C. A. Fertility after timed AI insemination in response to a controlled internal drug release (CIDR) insert in lactating dairy cows. 2008. 48f. Thesis (MS Science) Kansas State University, Manhattan, Kansas, USA. MARTIN, I. et al. Características ultrassonográficas do útero de vacas Nelore (Bos taurus indicus) ao longo do ciclo estral. Veterinária e Zootecnia, Botucatu, v.15, n.2, ago., p. 349- 359, 2008. MIRANDA, J. E.C.; FREITAS, A. F. Raças e tipos de cruzamentos para produção de leite. Juíz de Fora: Embrapa Gado de Leite, 2009. Circular Técnica, 98. 12p. MOREIRA, R. J. C., Uso do protocolo Crestar® em tratamentos utilizando benzoato de estradiol, PGF2α, PMSG e GnRH para controle do ciclo estral e ovulação em vacas de corte. 2002, 62f. Dissertação de Mestrado, Piracicaba, 2003. MOSES, V. S.; BERTONE, A. L. Nonsteroidal anti-inflammatory drugs. Veterinary Clinics of North America, v.18, p.21-37, 2002. NAKAMURA, T.; SAKAMOTO, K. Reactive oxygen species up-regulates cyclooxygenase2, p53, and Bax mRNA expression in bovine luteal cells. Biochemical and Biophysical Research Communications. v.284 p.203-210. 2001. NASSER, L. F. T. Resposta superovulatória na primeira onda de crescimento folicular em doadoras Nelore (Bos taurus indicus). 2006, 80f. Tese (Doutorado) - USP. FMVZ. Departamento de reprodução animal, São Paulo. OLIVEIRA, M. Fisiologia da reprodução bovina e métodos de controle do ciclo estral. 2006. 28 f. Tese (Especialização em Reprodução e Produção de Bovinos) -UNIVERSIDADE CASTELO BRANCO, Rio de Janeiro, 2006. PALHANO, H. B. Reprodução em Bovinos, LF livros de veterinária, 2 edição, 2008, 249p. PONCIO, V. A. P. EFICIÊNCIA DE DOIS PROTOCOLOS DE IATF UTILIZANDO BENZOATO DE ESTRADIOL OU GnRH. Nova Odessa. 2021. Disponível em:. Acesso em: 25 de jan. 2022. PURSLEY, J. R.; MEE, M. O.; WILTBANK, M. C. Synchronization of ovulation in dairy cows using PGF2α and GnRH. Theriogenology, v.44, p.915-923, 1995. REICHENBACH, H. D.; MORAES, J. C. F.; NEVES, J. P. 2008. Tecnologia do sêmen e inseminação artificial em bovinos. In: Gonçalves P. B. D.; Figueiredo J. R. e Freitas V. J. F. Biotécnicas aplicadas à reprodução animal. 2ª ed. São Paulo: Ed. Roca. 395 p. ROBINSON, R. S. et al. Corpus luteum-endometriumembryo interactions in the dairy cow: underlying mechanisms and clinical relevance. Reproduction in Domestic Animals, v.43, p.104-12, 2008. Roca, 3ª Edição, 232 p., 2006. RUAS, J. R. M. et al. Vacas F1 Holandês x Zebu: uma opção para sistema de produção de leite em condições tropicais. Inf. Agropec., v.35, p.113-120, 2014. SARTORI, R. Manejo reprodutivo da fêmea leiteira. Reprodução Animal, Belo Horizonte, v.31, n.2, p.153-159, abr./jun. 2007. Disponível em:. Acesso em: 08 fev. 2022. SILVA, A. T. N. et al. Efeito de diferentes estratégias de manejo na distribuição da prenhez em vacas de corte mestiças paridas. In: XVI Congresso Brasileiro de Reprodução Animal. (Goiânia, Brasil). Resumo 158, 2007. SILVA, A.S. et al. Avaliação do custo benefício da inseminação artificial convencional e em tempo fixo de fêmeas bovinas pluríparas de corte. Revista Brasileira de Reprodução Animal, v.31, n.4, p.443-445, 2007. SOUZA, A. H. et al. Efeitos da gonadotrofina coriônica equina e do tipo de estímulo ovulatório em um protocolo de IA cronometrada sobre as respostas reprodutivas em vacas leiteiras. Teriogenologia, Stoneham, v. 72, n. 1, pág. 10-21, 2009. STABENFELDT, G. H.; EDQVIST, L. E. Processos Reprodutivos da Fêmea. In: SWENSON, M. J.; REECE, W., Dukes Fisiologia dos Animais Domésticos, Rio de Janeiro: Guanabara Koogan, 1996. cap. 36, p. 615-644. VALLE, E. R. O ciclo estral de bovinos e métodos de controle. Campo Grande: EMBRAPA – CNPGC, 1991. 24p. (EMBRAPA-CNPGC. Documentos, 48). VISHWANATH, R. Artificial insemination: the state of the art. Theriogenology, v.59, p.571- 584, 2003. WOLFENSON, D. et al. The effect of a GnRH analogue on the dynamics of follicular development and synchronization of estrus in lactating cyclic dairy cows. Theriogenology, v.42, p.633- 644, 1994. YAMADA, K. Desenvolvimento da sincronização da ovulação e inseminação artificial em tempo fixo em vacas leiteiras. Jornal de Reprodução e Desenvolvimento, Nagoya, v. 51, n. 2, pág. 177-186, 2005. (shrink)

The policy makers or lawyers may face the need of legal research for reasons. The congressmen may plan to make new laws to address the challenges of their constituent or to the interest of nation. The lawyers may need to serve their clients who like to know the legal issues involved, the strategies to deal with their loss and recovery, and prospect for winning the case if the dispute has gotten worse. The lawyers may practice in a solo business or (...) might work as an associate lawyer in the law firms. A senior lawyer or partner in some cases may like to exploit the junior work force about the problems or grievances from the potential clients. Since he needs to focus their attention on other matters, such as the business expansion of his law firm or more lucrative cases in need of career hands, he may tap the junior lawyer for the legal research, who could assist with the basis of his final legal opinion. The memorandum, opinion letter and brief would be such forms of professional communication for the lawyers and legal researchers. The congressman also can be supplemented with the aid of staffs in terms of his legal expertise and grasp of the issues standing for carrying their responsibility more effectively. For the lawyers and legal researchers, the structure of state and federal legal system is the kind of important variants to orient their work direction and basic frame for the most efficient and adequate scope of search and analysis. The paradigm change also is revolutionary to impact the general base of people. Decades ago, the research or researcher only related with the class of professionals, such as professors, lawyers, career officers and cadres of enterprises. They would enjoy insulation and exploit their research work as an entrance barrier from lay people. Their large shelves at home study or in the room or corner of office thrust an impression that he or she is learned and knowledgeable. This impliedly communicates his or her prestige of social or professional success. The books and articles seem to symbolize a kind of monopoly which bears to exclude unclassified or non-professional workers. The change is remarkable that every citizen could benefit from the on-line sources of information, which, of course, is generally true of professional knowledge. Now professors fear of plagiarism that students often are the kind of suspect. The legal research would turn on the help of digitization which revolutionizes to incur a new mode of research operation. About the query, the citizens and people can readily verify its truth or falsity with one clique within the personal computer. An enormous amount of information is currently flowing on the internet and on-line sources of reference, which shapes an informative and knowledgeable society. As the medical doctors warned decades ago, the precept is any most effective, “forbear from your intelligence or knowledge work for your health.” Many of them now spend long hours a day to satisfy their curiosity and intelligent search. He or she may be well awarded an academic degree if to recognize their hard work on his PC. Nevertheless, this information age does not always bring a positive progress, which arouses the kind of issues, say, right of privacy, on-line fraud. In some cases, this transformation may lead to an inferior attitude of researcher. My today’s experience is one of exotic case. I have received an e-mail from Google CEO stating that I have been selected as one of twelve winners from the pool of Google users. The award money is enormous which stalls me for some time. The authenticity and reliability have hit my head, and I utilized a verification service website managed by the team of lawyers. It costs five dollars and remaining 24 dollars would be processed upon the progress of interaction. I am waiting for an answer from the team. Then the research nowadays is not limited to the basic context of our subsistence, but influences in any depth into the professional lives. (shrink)

During the two last decades, speeded up by the development of the Internet, several types of commons have been opened up for intellectual resources. In this article their variety is being explored as to the kind of resources and the type of regulation involved. The open source software movement initiated the phenomenon, by creating a copyright-based commons of source code that can be labelled `dynamic': allowing both use and modification of resources. Additionally, such a commons may be either (...) protected from appropriation (by `copyleft' licensing), or unprotected. Around the year 2000, this approach was generalized by the Creative Commons initiative. In the process they added a `static' commons, in which only use of resources is allowed. This mould was applied to the sciences and the humanities in particular, and various Open Access initiatives unfolded. A final aspect of copyright-based commons is the distinction between active and passive commons: while the latter is only a site for obtaining resources, the former is also a site for production of new resources by communities of volunteers (`peer production'). Finally, several patent commons are discussed, which mainly aim at preventing patents blocking the further development of science. Throughout, attention is drawn to interrelationships between the various commons. (shrink)

Quality assurance in large terminologies is a difficult issue. We present two algorithms that can help terminology developers and users to identify potential mistakes. We demon­strate the methodology by outlining the different types of mistakes that are found when the algorithms are applied to SNOMED-CT. On the basis of the results, we argue that both formal logical and linguistic tools should be used in the development and quality-assurance process of large terminologies.

The lie detector test has long been treated with suspicion by the law. Recently, several authors have called this suspicion into question. They argue that the lie detector test may have considerable forensic benefits, particularly if we move past the classic, false-positive prone, autonomic nervous system-based (ANS-based) control question test, to the more reliable, brain-based, concealed information test. These authors typically rely on a “comparative advantage” argument to make their case. According to this argument, we should not (...) be so suspicious of lie detection evidence if it has comparative advantages over the epistemic methods currently utilised by the legal system. In this article, I add to this growing support by making a novel comparative advantage argument in favour of brain-based lie detection evidence. The argument focuses on the P300 concealed information test (P300 CIT), which has several unique properties, and on the effect it may have on pre-trial bargaining in criminal cases rather than in-court evidence. The thesis is that P300 CIT could allow for innocent defendants to credibly signal their innocence to investigators and prosecutors during pre-trial bargaining more effectively than current proposed methods for doing the same thing. I defend this argument from a number of objections, and suggest that it opens up an interesting avenue in the ongoing debate about the merits of this technology. Although the argument is presented with the criminal law in mind, it could form part of a more general cumulative case in favour of this technology. (shrink)

In pedestrian detection, occlusions are typically treated as an unstructured source of noise and explicit models have lagged behind those for object appearance, which will result in degradation of detection performance. In this paper, a hierarchical co-occurrence model is proposed to enhance the semantic representation of a pedestrian. In our proposed hierarchical model, a latent SVM structure is employed to model the spatial co-occurrence relations among the parent–child pairs of nodes as hidden variables for handling the partial occlusions. (...) Moreover, the visibility statuses of the pedestrian can be generated by learning co-occurrence relations from the positive training data with large numbers of synthetically occluded instances. Finally, based on the proposed hierarchical co-occurrence model, a pedestrian detection algorithm is implemented to incorporate visibility statuses by means of a Random Forest ensemble. The experimental results on three public datasets demonstrate the log-average miss rate of the proposed algorithm has 5% improvement for pedestrians with partial occlusions compared with the state-of-the-arts. (shrink)

Internet and Biometric Web Based Business Management Decision Support MICROBE MOOC material prepared under IO1/A5 Development of the MICROBE personalized MOOCs content and teaching materials Prepared by: A. Kaklauskas, A. Banaitis, I. Ubarte Vilnius Gediminas Technical University, Lithuania Project No: 2020-1-LT01-KA203-078100.

This chapter as the whole book are a result of a Globethics conference in March 2018 at the Catholic University of East Africa (CUEA) in Kenya, focused on the integration of Ethics in Higher Education. The book captures the potential for sharing of knowledge, and triggering interdisciplinary collaboration and research across a wide variety of issues ranging from research practice, religion, entrepreneurship, leadership, fundraising and corruption. While some of the chapters focus on the understanding of ethics and its relationship with (...) the various other aspects of life, others concentrate on the methods and strategies of effectively teaching ethics. Our chapter is concerned by the ways research practices and the value of integrity might be at risk, in very limited situations. We have good hope that responsible answers and proportionate reason-based actions in confronting some of these risks - as with plagiarism - can protect the giving virtues necessary for dynamical and effective research processes, which are all ultimately built on the value of trust. (shrink)

The mental risk poses a high threat to the individuals, especially overseas demographic, including expatriates in comparison to the general Arab demographic. Since Arab countries are renowned for their multicultural environment with half of the population of students and faculties being international, this paper focuses on a comprehensive analysis of mental health problems such as depression, stress, anxiety, isolation, and other unfortunate conditions. The dataset is developed from a web-based survey. The detailed exploratory data analysis is conducted on the (...) dataset collected from Arab countries to study an individual’s mental health and indicative help-seeking pointers based on their responses to specific pre-defined questions in a multicultural society. The proposed model validates the claims mathematically and uses different machine learning classifiers to identify individuals who are either currently or previously diagnosed with depression or demonstrate unintentional “save our souls” (SOS) behaviors for an early prediction to prevent risks of danger in life going forward. The accuracy is measured by comparing with the classifiers using several visualization tools. This analysis provides the claims and authentic sources for further research in the multicultural public medical sector and decision-making rules by the government. (shrink)

The exponential developments of internet services and resources have brought enormous benefits, but also enormous moral and ethical challenges. This paper introduces the contributions from a research workshop, tasked with defining new ethical responsibilities for Internet Service Providers (ISPs).

Today, the Internet is a rich source of study materials, and Google Scholar offers free access to a large number of scientific articles. There are excellent research publications available in many more databases. Students have the option of easily copying the material. Reusing, paraphrasing, patchwriting, and ghostwriting without citing the original documents are plagiarism. Plagiarism is increasing in academics, particularly in research. This study aims to study the awareness of plagiarism and to analyze the reasons for (...) plagiarism. The study samples are the student teachers in India. For this study, we used a survey method, and the author prepared a questionnaire to collect data from the student teachers. Study respondents are the student teachers of the Regional Institute of Education Mysore; Purposive sampling was used to select samples. The total number of study respondents is 207. The findings of the study revealed that over 70 per cent of respondents mentioned reasons for plagiarism as lack of relevant literature studying, lack of preparation and time, difficulty checking every piece of work, do not know the manual citation style, lack of knowledge about bibliographic management software and also they stated that getting easily available materials on the internet is also a reason for plagiarism. The study recommends that teachers teach or conduct awareness programs on plagiarism, avoiding plagiarism, citation style, and software. (shrink)

The ever-evolving ways attacker continues to improve their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to researchers in both industry and academia research due to the inability of current approaches to detect complex phishing attack. Thus, current anti-phishing methods remain vulnerable to complex phishing because of the increasingly sophistication tactics adopted by attacker coupled with the rate at which new tactics are being developed to evade detection. In this research, we proposed (...) an adaptable framework that combines Deep learning and Randon Forest to read images, synthesize speech from deep-fake videos, and natural language processing at various predictions layered to significantly increase the performance of machine learning models for phishing attack detection. (shrink)

Disaster response requires the cooperation of multiple emergency responder organizations (EROs). However, after‐action reports relating to large‐scale disasters identity communication difficulties among EROs as a major hindrance to collaboration. On the one hand, the use of two‐radio communication, based on multiple orthogonal frequencies and uneven coverage, has been shown to degrade inter‐organization communication. On the other hand, because they reflect different areas of expertise, EROs use differing terminologies, which are difficult to reconcile. These issues lead to ambiguities, misunderstandings, and (...) inefficient exchange of data and information among those involved, which can impede the response process and slow decision making. We, therefore, hypothesize that promoting semantic interoperability across ERO information systems might improve information exchange among stakeholders and thereby allow a more coherent response to the disaster. We propose an ontology‐based messaging service on the basis of the Emergency Data Exchange Language (EDXL) standards. The parties involved will continue to use the terminologies to which they are accustomed, but the system will resolve inconsistencies and thereby enhance mutual understanding among EROs by ensuring semantic translation of the exchanged information. The evaluation of the semantic translation demonstrated the effectiveness and accuracy of the proposed service. (shrink)

In modern days, person-computer communication systems have gradually penetrated our lives. One of the crucial technologies in person-computer communication systems, Speech Emotion Recognition (SER) technology, permits machines to correctly recognize emotions and greater understand users' intent and human-computer interlinkage. The main objective of the SER is to improve the human-machine interface. It is also used to observe a person's psychological condition by lie detectors. Automatic Speech Emotion Recognition(SER) is vital in the person-computer interface, but SER has challenges for accurate recognition. (...) In this work to resolve the above problem, automatic Speech enhancement shows that deep learning techniques effectively eliminate background noise. Using Deep leaning models for four states were created: happy, sad, angry, and intoxicated. Recurrent Neural Network (RNN) algorithm used to reduce the possibility of over fitting by randomly omitting neurons in the hidden layers. The proposed RNN method could be implemented in personal assistant systems to give better and more appropriate state-based interactions between humans. In the simulation results shows Improving accuracy, Time complexity, Error rate is also reduced to using the proposed method. -/- . (shrink)

Plagiarism is malpractice, the fabrication of others’ “ideas or work” published without the proper permission or citation of the original contributors. Plagiarism is detected through different software, i.e., Turnitin, before publishing any research data. The present survey study assesses whether academicians, researchers, and scholars around the world perceive this software as a creator or destroyer of new thoughts and ideas. A survey of this research data was conducted with academicians, researchers, and scholars around the globe. The number of (...) respondents is 1100, including 688 teaching professionals, 347 non-teaching, and 65 others. The present study finds that 82.7 per cent of research professionals mentioned that plagiarism could be appropriately citable. 76.7 per cent suggested that plagiarism can be completely avoidable, and 72.4 per cent has been proposed to be punishable. The study also described that plagiarism software is a good, efficient, and effective creator for new ideas. (shrink)

Background: Educated women tend to have a greater awareness of the existence of ANC services, more aware of health problems, know more about the availability of health care services, and utilize the information more effectively than non-educated women. Moreover, higher levels of education tend to positively affect healthseeking behaviors, and education may increase a woman’s control over her pregnancy and expose women to more health education messages and campaigns, enabling them to recognize danger signs and complications and take appropriate action. (...) In this study, we tried to analyze to what level the maternal education can influence the antenatal care services and childcare. Methods: A community-based cross-sectional study was conducted on 93 randomly selected mothers who have children less than 7 years by using a pre-tested structured questionnaire for data collection at various tribal villages, at an average 25 kms away from Adilabad town from April-October 2019. Analysis was done using SPSS for windows version 16, Microsoft excel and Open epi website. Results: Out of 93 study subjects, 19.3% (18) of the study subjects were not registered for the antenatal services. Higher the maternal education higher the age at pregnancy (p<0.05), was associated with more preference for deliveries by doctors (p<0.05). More the frequency of exclusive breast feeding, long lasting breast feeding was associated more than a year (p<0.05), a smaller number of children with wasting (p<0.05). Conclusion: This study revealed that utilization of ANC services was relatively better for the mother’s educated higher than secondary school, but they are still low. Educational status is important in having more health seeking behavior. In this study, it proves that health education is more important than the mere school education which can help to improve knowledge on ANC. (shrink)

The Internet is like a new country, with a growing population of millions of well educated citizens. If it wants to keep track of its own cultural achievements in real time, it will have to provide itself with an infostructure like a virtual National Library system. This paper proposes that institutions all over the world should take full advantage of the new technologies available, and promote and coordinate such a global service. This is essential in order to make (...) possible a really efficient management of human knowledge on a global scale. (shrink)

Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. There are no obvious incidental effects during the starting periods of CKD, patients routinely disregard to see the sickness. Early disclosure of CKD enables patients to seek helpful treatment to improve the development of this disease. AI models can effectively assist clinical with achieving this objective on account of their fast and exact affirmation execution. In this appraisal, proposed a Logistic (...) relapse framework for diagnosing CKD. Proposed calculation like NAIVE BAYES , DECISION TREE , KSTAR , LOGISITIC , AND SVM and look at these calculation and get the most noteworthy precision .AI store, which has an enormous number of missing qualities. Missing characteristics are for the most part found, taking everything into account, clinical conditions since patients might miss a couple of assessments for various reasons. By separating the misjudgements delivered by the set up models and proposed a fused model that unites determined backslide and sporadic woods by using perceptron. (shrink)

While children’s experiences of online risks and harm is a growing area of research in New Zealand, public discussion on the matter has largely been informed by mainstream media’s fixation on the dangers of technology. At best, debate on risks online has relied on overseas evidence. However, insights reflecting the New Zealand context and based on representative data are still needed to guide policy discussion, create awareness, and inform the implementation of prevention and support programmes for children. This research (...) report presents findings from a quantitative study regarding different aspects related to risks and online safety. It looks at the online experiences that children find bothersome and upsetting and explores the hurtful behaviours they encounter or engage in, both online and in person. Evidence regarding exposure to different types of potentially harmful online content is also presented. Another relevant contribution is the insights related to excessive internet use.The findings presented in this report are based on data from 2,061 New Zealand children aged 9-17. We hope the findings will contribute to the development of policies, practices and services designed to support New Zealand children to safely take advantage of the opportunities available to them online. (shrink)

Cloud computing (ClC) has become a more popular computer paradigm in the preceding few years. Quality of Service (QoS) is becoming a crucial issue in service alteration because of the rapid growth in the number of cloud services. When evaluating cloud service functioning using several performance measures, the issue becomes more complex and non-trivial. It is therefore quite difficult and crucial for consumers to choose the best cloud service. The user's choices are provided in a quantifiable (...) manner in the current methods for choosing cloud services. Hence, this study attempts to achieve this objective through construction. decision-making framework so-called cloud services evaluator (CSsEv). The main indicator and its sub-indicators are formed as nodes at levels(n) in tree soft sets (TSSs). Thereafter Single Value Neutrosophic Sets (SVNSs) as branch of neutrosophic sets which conjunction with the Multi-Criteria Decision Making (MCDM) technique to facilitate analysis and evaluation process for the available Cloud services providers. Hence, entropy is employed to obtain indicators and sub_indicators weights and Complex Proportional Assessment utilizes these weights to facilitate the decision process of selecting optimal ClSPs. (shrink)

Ever since the era of internet had ushered in cloud computing, there had been increase in the demand for the unlimited data available through cloud computing for data analysis, pattern recognition and technology advancement. With this also bring the problem of scalability, efficiency and security threat. This research paper focuses on how data can be dynamically mine in real time for pattern detection in a secure cloud computing environment using combination of decision tree algorithm and Random Forest over (...) a restful Application Programming Interface (API). We are able to successfully Implement data mining on cloud computing bypassing or avoiding direct interaction with data warehouse and without any terminal involve by using combination of IBM Cloud storage facility, Amazing Web Service, Application Programming Interface and Window service along with a decision tree and Random Forest algorithm for our classifier. We were able to successfully bypass direct connection with the data warehouse and cloud terminal with 94% accuracy in our model. (shrink)

Advancements in cloud technologies have increased the infrastructural needs of data centers due to storage needs and processing of extensive dimensional data. Many service providers envisage anomaly detection criteria to guarantee availability to avoid breakdowns and complexities caused due to large-scale operations. The streaming log data generated is associated with multi-dimensional complexity and thus poses a considerable challenge to detect the anomalies or unusual occurrences in the data. In this research, a hybrid model is proposed that is motivated (...) by deep belief criteria and meta-heuristics. Using Search-and-Rescue—BrainStorm Optimization (SAR-BSO), a hybrid feature selection (FS) and deep belief network classifier is used to localize and detect anomalies for streaming data logs. The significant contribution of the research lies in FS, which is carried out using SAR-BSO which increases the detection power of the model as it selects the most significant variables by minimizing redundant features. The evaluation of accuracy is efficiently improved when compared with the predictable methods, such as Extract Local Outlier Factor (ELOF), Track-plus, Hybrid Distributed Batch Stream (HDBS), IForestASD, DBN, BSO-based Feature Selection with DBN, Genetic Algorithm-Deep Belief Network (GA-DBN), Mutual Information-Deep Belief Network (MI-DBN), information entropy-Deep Belief Network(I + DBN), Flat Field-Deep Belief Network (FF + DBN), African Vulture Optimization Algorithm-Deep Belief Network(AVOA + DBN), Gorilla Troop Optimizer-Deep Belief Network(GTO-DBN), and SARO-based Feature Selection with DBN. Further, the accurate detection of the anomalies in the data stream is established by the Deep Belief Neural Network (DBN) classifier. The model’s efficacy is determined using Apache, Hadoop, HDFS, Spark, and Linux datasets and evaluated against existing similar models. The model efficiency is provided using multiple evaluation metrics and is found effective. From the experimentation, the accuracy of the proposed model is found to be 93.3, 95.4, 93.6, 94.2, and 93.5% respectively for the dataset such as Apache, Hadoop, HDFS, spark, and Linux. This enhancement in accuracy is due to the selection of optimal features by the proposed SAR-BSO algorithm. (shrink)

According to the forecast that billions of devices will get connected to the Internet by 2020. All these devices will produce a huge amount of data that will have to be handled rapidly and in a feasible manner. It will become a challenge for real-time applications to handle this huge data while considering security issues as well as time constraints. The main highlights of cloud computing are on-demand service and scalability; therefore the data generated from IoT devices are (...) generally handled in cloud infrastructure. Though, dealing with IoT application requests on the cloud exclusively is not a proficient result for some IoT applications particularly time-sensitive ones. These issues can be settled by utilizing another idea called, Fog computing. Fog computing has become one of the major fields of research from both academia and industry perspectives. The ongoing research commitments on few issues in fog computing are figuring out in this paper. At long last, this paper also highlights some open issues in fog with IoT, which will determine the future research direction for implementing Fog computing paradigm. (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and reacts like humans, some of the computer activities with artificial intelligence are designed to include speech, recognition, learning, planning and problem solving. Deep learning is a collection of algorithms used in machine learning, it is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is used as (...) a technique to produce brain tumor detection and classification models using Magnetic Resonance Imaging (MRI) imaging for rapid and easy detection and identification of brain tumor. In this thesis, some ways and mechanisms will be reviewed to use deep learning techniques to produce a model for brain tumor detection. The goal is to find a good and effective way to detect brain tumor based on MRI to help the brain doctor in making decisions easily, accurately and rapidly. A recent report by the World Health Organization in February 2018 showed that the death rate from brain cancer or central nervous system (CNS) is the highest in the Asian continent. It is important to detect cancer early so that many of these lives can be saved. The model has been designed and implemented, including a dataset which consist of 10,000 images for brain tumor detection through the use of Deep learning algorithms based on neural networks. For testing, we have used our model, Inception, VGG16, MobileNet and ResNet models. The f-score accuracy we got for each model was as follows: Our model was 98.28, VGG16 was 99.86%, ResNet50 was 98.14%, MobileNet was 88,98%, and InceptionV3 was 99.88%. (shrink)

The internet has considerably changed epistemic practices in science as well as in everyday life. Apparently, this technology allows more and more people to get access to a huge amount of information. Some people even claim that the internet leads to a democratization of knowledge. In the following text, we will analyze this statement. In particular, we will focus on a potential change in epistemic structure. Does the internet change our common epistemic practice to rely on expert (...) opinions? Does it alter or even undermine the division of epistemic labor? The epistemological framework of our investigation is a naturalist-pragmatist approach to knowledge. We take it that the internet generates a new environment to which people seeking information must adapt. How can they, and how should they, expand their repertory of social markers to continue the venture of filtering, and so make use of the possibilities the internet apparently provides? To find answers to these questions we will take a closer look at two case studies. The first example is about the internet platform WikiLeaks that allows so-called whistle-blowers to anonymously distribute their information. The second case study is about the search engine Google and the problem of personalized searches. Both instances confront a knowledge-seeking individual with particular difficulties which are based on the apparent anonymity of the information distributor. Are there ways for the individual to cope with this problem and to make use of her social markers in this context nonetheless? (shrink)

In this chapter, we argue that the web is a poietically- enabling environment, which both enhances and requires the development of a “constructionist ethics”. We begin by explaining the appropriate concept of “constructionist ethics”, and analysing virtue ethics as the primary example. We then show why CyberEthics (or Computer Ethics, as it is also called) cannot be based on virtue ethics, yet needs to retain a constructionist approach. After providing evidence for significant poietic uses of the web, we argue (...) that ethical constructionism is not only facilitated by the web, but is also what the web requires as an ethics of the digital environment. In conclusion, we relate the present discussion to standard positions in CyberEthics and to a broader project for Information Ethics. (shrink)

The dominant view on the ethics of cognitive enhancement (CE) is that CE is beholden to the principle of autonomy. However, this principle does not seem to reflect commonly held ethical judgments about enhancement. Is the principle of autonomy at fault, or should common judgments be adjusted? Here I argue for the first, and show how common judgments can be justified as based on a principle of service.

In enhancement ethics, evolutionary theory has been largely perceived as supporting liberal views on enhancement, where decisions to enhance are predominantly regulated by the principle of individual autonomy. In this paper I critique this perception in light of recent scientific developments. Cultural evolutionary theory suggests a picture where individual interests are entangled with community interests, and this undermines the applicability of the principle of autonomy. This is particularly relevant for enhancement ethics, given how – I argue – decisions to enhance (...) are often influenced by desires to increase social status. The “service view on enhancement”, based on principles of service and trust, is proposed as offering better guidance for the challenges of social living. (shrink)

The existence of big bang relic neutrinos—exact analogues of the big bang relic photons comprising the cosmic microwave background radiation—is a basic prediction of standard cosmology. The standard big bang theory predicts the existence of 1087 neutrinos per flavour in the visible universe. This is an enormous abundance unrivalled by any other known form of matter, falling second only to the cosmic microwave background (CMB) photon. Yet, unlike the CMB photon which boasts its first (serendipitous) detection in the 1960s (...) and which has since been observed and its properties measured to a high degree of accuracy in a series of airborne/satellite and ground based experiments, the relic neutrino continues to be elusive in the laboratory. The chief reason for this is of course the feebleness of the weak interaction. At present, the observational evidence for their existence rests entirely on cosmological measurements, such as the light elemental abundances, anisotropies in the cosmic microwave background, and the large-scale matter power spectrum. In this paper we argue that Direct Detection of relic neutrino background is indeed impossible by any means, because of two chief reasons: (a) there was no such thing of cosmic singularity, hence the hot big bang/primeval atom model was based on false premises (quantum birth assumption); (b) the neutrino existence itself is not unquestionable, in particular if we consider a realism view of vector potential, A, in classical electrodynamics. (shrink)

Due to the emergence of ICT in ELT sector, seasoned English teachers find it resistant to such a shift despite having a positive attitude towards its use. This quasi-experimental study aimed to examine the extent to which seasoned English language teachers developed their ICT skills through a Service-Learning Activity (SLA). Using a one-group pre- and post-test design, this study collected the data through a modified Needs Assessment Survey (NAS) distributed to fourteen purposively selected participants. It was administered to examine (...) what professional ICT development would greatly benefit them. The data were analyzed using descriptive statistics and themes according to the Service-Learning Activity (SLA) topics. A Post Evaluation Survey (PES) was administered, and its result was compared to the initial test. The results showed that the seasoned teachers gained significant learning gains in terms of (1) sharing of knowledge from other teachers; (2) being encouraged to use ICT tools; (3) training opportunities; (4) working with other colleagues; and 5) attending professional workshops which include SLA. However, this study unveiled that the English teachers had no significant difference in perceptions regarding the roles of computers in teaching before and after the intervention. Limitations and recommendations for future studies were discussed. (shrink)

With the advent of Internet of Things (IoT) and data convergence using rich cloud services, data computing has been pushed to new horizons. However, much of the data generated at the edge of the network leading to the requirement of high response time. A new computing paradigm, edge computing, processing the data at the edge of the network is the need of the time. In this paper, we discuss the IoT architecture, predominant application protocols, definition of edge computing and (...) its research opportunities. (shrink)

Despite the emphasis on dialogue and argumentation in educational settings, still not much is known about how best we can support learners in their interthinking, reasoning, and metadialogic understanding. The goal of this classroom intervention study is to explore the degree of students’ dialogicity and its possible increase during a learning programme implementing dialogic and argument-based teaching goals and principles. In particular, we focus on how students from 5 to 15 years old engage with each other's ideas, and whether/how (...) this engagement is influenced by lesson and classroom setting factors. The participants were 4208 students distributed in preprimary, primary, and secondary classrooms of five countries (UK, Portugal, Germany, Spain, and Cyprus). Findings suggest that there is a consistent increase with age for some high-dialogicity moves, and students behave more dialogically in whole-class discussions rather than small-group activities. (shrink)

COVID-19 and military actions on the territory of Ukraine fundamentally changed the organization of the educational process, forcing educational institutions to transfer classroom learning to virtual space. To organize the educational process remotely, we need to organize an educational environment in which we can ensure the implementation of all types of educational activities, as well as creation and selection of e-resources depending on their types. Having guidelines in the form of modes, forms and learning outcomes, it is necessary to structure (...) the content of educational disciplines, corresponding curricula, to ensure the activity of students during lectures and the implementation of practical tasks with the necessary tools, to determine and carry out the selection of electronic educational resources for the effective organization of the educational process in conditions of open education. First of all, it is important to take into account all types of student activities, namely: those ones, which are usually implemented in class and determine the possibility of their implementation in a remote format using cloud services. The monograph considers the problem of effective use of Microsoft 365 services for the organization of e-learning through the prism of the competency approach. In particular, the study established a correspondence between training activities and M365 services, which can provide tools support for their implementation. Chapter 1 analyzes the components of digital competence and the abilities necessary for the organization of the e-learning process. Based on the analysis, the correspondence between the components of digital competence and M365 services, the possession of which indicates the existing level of digital competence, was established. Chapter 2 of the monograph describes the digital competences necessary for the organization of various types of training using Microsoft 365 services. It studies features of using digital identity cloud services, Microsoft 365 services for digital data management and collaboration, e-learning management, design and creation of digital content, problem solving and innovation, digital communication, cooperation and interaction. Chapter 3 offers a developed model of hybrid educational environment architecture based on Microsoft Teams platform and analyzes digital competences for the organization of asynchronous interaction between students and teachers using MS Teams tools. Chapter 4 is devoted to the results of an experimental study of the effectiveness of the use of Microsoft 365 services for the organization of e-learning and the readiness of teachers and students to use them. (shrink)

This study aims to examine counseling services as determinants of senior secondary 2 students’ anti-social behaviour in Calabar Education Zone of Cross River State, Nigeria. The main independent variable of the study was counseling services which includes informative counseling services, rehabilitation while the dependent variable is anti-social behaviours. Two hypotheses were formulated to direct the study. Ex-post facto research design was adopted for the study. The population of the study consisted of 2686 senior secondary 2 students in 90 public secondary (...) schools in Calabar Education Zone of which a sample of 700 senior secondary 2 students were selected using stratified and proportionate random sampling procedures. A questionnaire titled Counseling services and antisocial behaviour was used for data collection. The instrument was face-validated by two experts in measurement and evaluation from the University of Calabar. The reliability estimate of the questionnaire was established through the Cronbach alpha which ranges from give .82 to .87. Simple Linear Regression was the statistical technique adopted to test the two hypotheses at .05 level of significance. The results of the analysis revealed that informative counseling services, rehabilitation counseling service are significantly determinant of senior secondary 2 students’ anti- Social behaviour in public secondary schools in Calabar Education zone. Based on these findings, it was recommended that regular counseling services should be given to students in order to inform them about the acceptable behaviours in the society and to curb anti-social behaviours among them. (shrink)

The aim of this paper is to consider whether critical rationalism has any ideas which could usefully be applied to the internet. Today we tend to take the internet for granted and it is easy to forget that it was only about two decades ago that it began to be used to any significant extent. Accordingly in section 1 of the paper, there is a brief consideration of the history of the internet. At first sight this makes (...) it looks implausible that any of Popper’s ideas could be applicable to the internet, since Popper died before the internet came into general use. However, section 2 argues that Popper’s theory of World 3 does apply very well to the internet. This application is significant because, as shown in section 3, it leads to the problem of misinformation, which is one of the most significant problems generated by the internet. In section 4 there is an attempt to solve this problem using ideas taken from Popper’s epistemology. It is argued that there should be changes in education designed to prepare students for the internet age. Teaching in the internet age should focus on presenting to the students not just the accepted theories but also the evidence on which they are based. An illustration of how this might be done is given by considering an example from science teaching, namely the teaching of Newtonian mechanics in the last years of school or first years of university. (shrink)