This study is done in order to find the factor of depression among the college student in Malaysia. Depression among the college student are increasing as it come from many factor. This study used behavioural theory as the foundations theories for the model development. The study involved 406 respondents, selected through google form responses involving all the university students around Malaysia. A structured questionnaire was used for data collection. All variables were measured through scales previously used by other researchers. In (...) behavioural theory, state that depression people precisely those who do not know how to cope with the fact that they are no longer receiving positive reinforcement like they before. Results shows the data analysis described that respondents having a financial problem where did not what how to differentiate between wants and need with the overall mean (M=2.51) and students always spend their money on uncertain things. (shrink)

Believing that p, assuming that p, and imagining that p involve regarding p as true—or, as we shall call it, accepting p. What distinguishes belief from the other modes of acceptance? We claim that conceiving of an attitude as a belief, rather than an assumption or an instance of imagining, entails conceiving of it as an acceptance that is regulated for truth, while also applying to it the standard of being correct if and only if it is true. We argue (...) that the second half of this claim, according to which the concept of belief includes a standard of correctness, is required to explain the fact that the deliberative question whether to believe that p is transparent to the question whether p. This argument raises various questions. Is there such a thing as deliberating whether to believe? Is the transparency of the deliberative question whether to believe that p the same as the transparency of the factual question whether I do believe that p? We will begin by answering these questions and then turn to a series of possible objections to our argument. (shrink)

The safety condition is supposed to be a necessary condition on knowledge which helps to eliminate epistemic luck. It has been argued that the condition should be globalized to a set of propositions rather than the target proposition believed to account for why not all beliefs in necessary truths are safe. A remaining issue is which propositions are relevant when evaluating whether the target belief is safe or not. In the literature, solutions have been proposed to determine the relevance of (...) propositions. This paper examines a case of luckily true belief—thus a case of ignorance—and a case of knowledge. It argues that no solution in the literature offers a correct verdict in either case. Therefore, the strategy to globalize safety remains unsatisfactory. (shrink)

It has been argued that an advantage of the safety account over the sensitivity account is that the safety account preserves epistemic closure, while the sensitivity account implies epistemic closure failure. However, the argument fails to take the method-relativity of the modal conditions on knowledge, viz., sensitivity and safety, into account. In this paper, I argue that the sensitivity account and the safety account are on a par with respect to epistemic closure once the method-relativity of the modal conditions is (...) taken into account. Therefore, epistemic closure is no longer an arbiter in the debate. (shrink)

According to the sensitivity account of knowledge, S knows that p only if S’s belief in p is sensitive in the sense that S would not believe that p if p were false. The sensitivity condition is usually relativized to belief-formation methods to avoid putative counterexamples. A remaining issue for the account is where methods should be mentioned in the sensitivity subjunctives. In this paper, I argue that if methods are mentioned in the antecedent, then the account is too strong (...) to accommodate inductive knowledge; if methods are mentioned in the consequent, then the account is too weak to eliminate some luckily true beliefs from the realm of knowledge. Therefore, the strategy to relativize the sensitivity condition is undermined by inductive knowledge and some luckily true beliefs. (shrink)

According to the safety account of knowledge, one knows that p only if one’s belief could not easily have been false. An important issue for the account is whether we should only examine the target belief when evaluating whether a belief is safe or not. In this paper, it is argued that, if we should only examine the target belief, then the account fails to account for ignorance of necessary truths. But, if we should also examine beliefs in other relevant (...) propositions, then the account fails to account for knowledge from falsehood. Therefore, the safety account of knowledge is undermined by knowledge from falsehood and ignorance of necessary truths. (shrink)

Contemporary Kantianism is often regarded as both a position within normative ethics and as an alternative to metaethical moral realism. We argue that it is not clear how contemporary Kantianism can distinguish itself from moral realism. There are many Kantian positions. For reasons of space we focus on the position of one of the most prominent, contemporary Kantians, Christine Korsgaard. Our claim is that she fails to show either that Kantianism is different or that it is better than realism. Our (...) strategy is to argue that what are supposed to be claims that conflict with realism in fact do not. (shrink)

Conceptual metaphors have received much attention in research on discourse about infectious diseases in recent years. Most studies found that conceptual metaphors of war dominate media discourse about disease. Similarly, a great deal of research has been undertaken on the new coronavirus, i.e., COVID-19, especially in the English news discourse as opposed to other languages. The present study, in contrast, analyses the conceptual metaphors used in COVID-19 discourse in French-language newspapers. The study explored the linguistic metaphors used in COVID-19 discourse (...) in these newspapers and conceptual metaphors that underlie and motivate them, using a conceptual metaphor theory framework (CMT). Therefore, two North African French-language newspapers, namely Libération, published in Morocco, and La Presse de Tunisie, published in Tunisia, formed the corpus of the current study. The results showed that the most frequent framing of COVID-19 was in terms of WAR, followed by DISASTER and KILLER, respectively. (shrink)

This abstract is a synopsis of the paper "An Expert System for Diagnosing Whooping Cough Using CLIPS." The bacterium Bordetella pertussis causes whooping cough, a highly infectious respiratory ailment with several phases of symptoms. An accurate and timely diagnosis is critical for effective treatment and the avoidance of future transmission. The construction of an expert system for detecting whooping cough using the CLIPS (C Language Integrated Production System) architecture is highlighted in this abstract. The expert system provides standardized and systematic (...) evaluation, which reduces the chance of misdiagnosis and improves patient outcomes. Maintenance and upgrades are required to keep the system current with growing medical knowledge. More study in this area has the potential to advance expert systems in identifying and managing a variety of medical disorders. (shrink)

The oil industry has played a significant role in the economy of modern Iran and Malaysia, especially as a source of transnational exchange and as a substantial factor in industrial and urban development. During the previous century, the arrival of oil companies in the Persian Gulf brought many changes to the physical built environment and accelerated the urbanization process in the port cities. Similarly, the development of the national oil industry had a considerable impact on post-independence Malaysia, affecting balance sheets, (...) the environment, and society. Oil significantly changed Malaysia’s position in the global economy and transformed a predominantly agricultural country into a significant producer of petroleum and natural gas. This paper implements the analytical, historical, and comparative perspectives. Specifically, it focuses on the legacy of oil cities in the Persian Gulf and the South China Sea as the birthplaces of the oil industry in two regions. In both countries, geopolitical importance and oil’s cultural, social, and historical narratives have the potential to represent national unity, political memory, and collective identity. In proposing this grounding, the paper seeks to approach the oil heritage as a particular form of industrial heritage. This research analyses the future of energy heritage, existing Covid-related challenges, and political tensions and examines the various impacts, transitions, and capacities associated with the current international relations, post-pandemic urban developments, and the post-oil future to pave the way for these developing areas of industrial heritage and oil heritage in Iran and Malaysia. (shrink)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

Mark Schroeder has recently presented apparent counterexamples to the standard account of the distinction between the right and the wrong kinds of reasons. We argue that these examples appear to refute the standard account only because they blur the distinction between two kinds of reasoning: reasoning about whether to intend or believe that p and reasoning about whether to take up the question of whether to intend or believe that p.

The manufacturing industry is evolving rapidly, becoming more complex, more interconnected, and more geographically distributed. Competitive pressure and diversity of consumer demand are driving manufacturing companies to rely more and more on improved knowledge management practices. As a result, multiple software systems are being created to support the integration of data across the product life cycle. Unfortunately, these systems manifest a low degree of interoperability, and this creates problems, for instance when different enterprises or different branches of an enterprise interact. (...) Common ontologies (consensus-based controlled vocabularies) have proved themselves in various domains as a valuable tool for solving such problems. In this paper, we present a consensus-based Additive Manufacturing Ontology (AMO) and illustrate its application in promoting re-usability in the field of dentistry product manufacturing. (shrink)

The maturing of metaethics has been accompanied by widespread, but relatively unarticulated, discontent that mainstream metaethics is fundamentally on the wrong track. The malcontents we have in mind do not simply champion a competitor to the likes of noncognitivism or realism; they disapprove of the supposed presuppositions of the existing debate. Their aim is not to generate a new theory within metaethics, but to go beyond metaethics and to transcend the distinctions it draws between metaethics and normative ethics and between (...) cognitivism and non-cognitivism. In our experience, the differences with traditional metaethics go deep enough that it can feel as if two different paradigms are talking past each other. We attempt to bring clarity and focus to this rather inchoate debate by simultaneously articulating the general issues involved and engaging in a detailed case study of one of the prominent representatives of this discontent, Christine Korsgaard. We argue that Korsgaard fails to go beyond metaethics–indeed, fails even to provide a theory within metaethics. Our strategy for showing this is to argue that her claims are compatible with both cognitivism and non-cognitivism. We have argued elsewhere that her distinctive claims are compatible with realism. Here we focus on the crucial role that claims about agency and the will seem to play her in work and, according to our interpretation, in her attempts to go beyond mainstream metaethics. We show in detail that these claims are actually compatible with non-cognitivism. Though our discussion often focuses on her work in particular, it has clear implications for other attempts to obviate the debates of traditional metaethics. (shrink)

As the devastation of climate change makes the need to decarbonise clearer by the day, countries face the question of what to do with their old fossil fuel infrastructure. While some environmental activists have taken to sabotaging the carbon economy on the back of its emissions in the Global North, the picture is different in oil-producing countries of the Global South, where energy infrastructure has fed communities for decades. There, the emphasis is placed on memory and institutionalisation.

Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Doctors do not know what causes it and finds difficulty in early diagnosing the presence of Parkinson’s disease. An artificial neural network system with back propagation algorithm is presented in this paper for helping doctors in identifying (...) PD. Previous research with regards to predict the presence of the PD has shown accuracy rates up to 93% [1]; however, accuracy of prediction for small classes is reduced. The proposed design of the neural network system causes a significant increase of robustness. It is also has shown that networks recognition rates reached 100%. (shrink)

Despite the large number of studies conducted on polysemy, they mostly compare the different methods and techniques to learn a language and establish the extent to which particular sense relations facilitate the learning of second language vocabulary. To our best knowledge, no research has been conducted to determine whether or not polysemy is emphasized in non-native English textbooks. The objective of the present research was to determine the degree to which polysemy is incorporated in English textbooks. Thus, the research question (...) guiding the current study is: To what extent is polysemy incorporated in non-native English textbooks? The study is corpus-based research that used a data set of 500 words, i.e., 250 words from each of the two books, utilizing the Sketch Engine word list tool and concordance. The polysemy of the resulting words in the concordance lines generated was semantically annotated manually using WordNet and English dictionaries. The results indicated that polysemy is barely stressed in the textbooks under investigation. The study’s results have substantial implications for polysemy in particular and second or foreign language teaching in general. (shrink)

Depending on whether we are somewhat tolerant of nearby error-possibilities or not, the safety condition on knowledge is open to a strong reading and a weak reading. In this paper, it is argued that induction and conjunction introduction constitute two horns of a dilemma for the safety account of knowledge. If we opt for the strong reading, then the safety account fails to account for inductive knowledge. In contrast, if we opt for the weak reading, then the safety account fails (...) to accommodate knowledge obtained via the method of conjunction introduction. (shrink)

The study investigated the impact of parental income on students' academic performance in secondary schools in Kitswamba and Rugendabara-Kikongo town councils in Kasese District. A cross-sectional research design was used, with data collected from 286 students and five head teachers. The findings showed that family income significantly influenced students' academic performance. The findings have implications for parents, teachers, policymakers, and administrators in the education sector, emphasizing the importance of parental income in determining academic success.

A newborn baby is an infant within the first 28 days of birth. Diagnosis and treatment of infant diseases require specialized medical resources and expert knowledge. However, there is a shortage of such professionals globally, particularly in low-income countries. To address this challenge, a knowledge-based system was designed to aid in the diagnosis and treatment of neonatal diseases. The system utilizes both machine learning and health expert knowledge, and a hybrid data mining process model was used to extract knowledge from (...) a clinical dataset. The PART algorithm achieved the highest performance result with 98.06% accuracy under 10-fold cross-validation, and the generated rules were used to develop the knowledge-based system. The system achieved 90.9% accuracy in system performance testing and 89.2% in user acceptance testing, and is intended to serve as an assistant tool for healthcare experts. (shrink)

Mouth ulcers, also known as canker sores, are a common oral health issue affecting a significant portion of the population. Early and accurate diagnosis of mouth ulcers is crucial for effective treatment and prevention of complications. This paper presents an expert system developed using CLIPS (C Language Integrated Production System) to diagnose mouth ulcer disease. The expert system utilizes a rule-based approach, incorporating a comprehensive knowledge base consisting of symptoms, risk factors, and medical literature related to mouth ulcers. By employing (...) an inference engine, the system evaluates patient input against the rules and generates a diagnosis based on the matching symptoms and relevant factors. The system also provides detailed explanations and recommendations for each diagnosis, aiding healthcare professionals and patients in understanding the condition and selecting appropriate treatment options. The development and validation of the expert system involved a multi-step process, including knowledge acquisition, rule formulation, and testing against a diverse dataset of mouth ulcer cases. The system's performance was evaluated by comparing its diagnoses with those made by medical professionals, demonstrating a high level of accuracy and consistency. The implementation of an expert system for diagnosing mouth ulcer disease offers several advantages, including the ability to provide timely and accessible healthcare services, reduce misdiagnosis rates, and assist healthcare professionals in decision-making processes. Moreover, it empowers individuals to make informed decisions about their health and seek appropriate medical intervention. This paper contributes to the field of medical expert systems by showcasing the practical application of CLIPS in the diagnosis of mouth ulcer disease. The results demonstrate the potential of expert systems as valuable tools for healthcare professionals and patients alike, enhancing the efficiency and accuracy of diagnosis in oral health care. (shrink)

BioPortal is a Web portal that provides access to a library of biomedical ontologies and terminologies developed in OWL, RDF(S), OBO format, Protégé frames, and Rich Release Format. BioPortal functionality, driven by a service-oriented architecture, includes the ability to browse, search and visualize ontologies (Figure 1). The Web interface also facilitates community-based participation in the evaluation and evolution of ontology content.

The National Center for Biomedical Ontology is now in its seventh year. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies and (...) terminologies in biomedicine. The centerpiece of the National Center for Biomedical Ontology is a web-based resource known as BioPortal. BioPortal makes available for research in computationally useful forms more than 270 of the world's biomedical ontologies and terminologies, and supports a wide range of web services that enable investigators to use the ontologies to annotate and retrieve data, to generate value sets and special-purpose lexicons, and to perform advanced analytics on a wide range of biomedical data. (shrink)

In written and spoken communications, figures of speech (e.g., metaphors and synecdoche) are often used as an aid to help convey abstract or less tangible concepts. However, the benefits of using rhetorical illustrations or embellishments in visualization have so far been inconclusive. In this work, we report an empirical study to evaluate hypotheses that visual embellishments may aid memorization, visual search and concept comprehension. One major departure from related experiments in the literature is that we make use of a dual-task (...) methodology in our experiment. This design offers an abstraction of typical situations where viewers do not have their full attention focused on visualization (e.g., in meetings and lectures). The secondary task introduces “divided attention”, and makes the effects of visual embellishments more observable. In addition, it also serves as additional masking in memory-based trials. The results of this study show that visual embellishments can help participants better remember the information depicted in visualization. On the other hand, visual embellishments can have a negative impact on the speed of visual search. The results show a complex pattern as to the benefits of visual embellishments in helping participants grasp key concepts from visualization. (shrink)

This paper presents a human-computer interaction model with a three layers learning mechanism in a pervasive environment. We begin with a discussion around a number of important issues related to human-computer interaction followed by a description of the architecture for a multi-agent cooperative design system for pervasive computing environment. We present our proposed three- layer HCI model and introduce the group formation algorithm, which is predicated on a dynamic sharing niche technology. Finally, we explore the cooperative reinforcement learning and fusion (...) algorithms; the paper closes with concluding observations and a summary of the principal work and contributions of this paper. (shrink)

Background: In the first few months of 2020, information and news reports about the coronavirus disease (COVID-19) were rapidly published and shared on social media and social networking sites. While the field of infodemiology has studied information patterns on the Web and in social media for at least 18 years, the COVID-19 pandemic has been referred to as the first social media infodemic. However, there is limited evidence about whether and how the social media infodemic has spread panic and affected (...) the mental health of social media users. Objective: The aim of this study is to determine how social media affects self-reported mental health and the spread of panic about COVID-19 in the Kurdistan Region of Iraq. Methods: To carry out this study, an online questionnaire was prepared and conducted in Iraqi Kurdistan, and a total of 516 social media users were sampled. This study deployed a content analysis method for data analysis. Correspondingly, data were analyzed using SPSS software. Results: Participants reported that social media has a significant impact on spreading fear and panic related to the COVID-19 outbreak in Iraqi Kurdistan, with a potential negative influence on people’s mental health and psychological well-being. Facebook was the most used social media network for spreading panic about the COVID-19 outbreak in Iraq. We found a significant positive statistical correlation between self-reported social media use and the spread of panic related to COVID-19 (R=.8701). Our results showed that the majority of youths aged 18-35 years are facing psychological anxiety. Conclusions: During lockdown, people are using social media platforms to gain information about COVID-19. The nature of the impact of social media panic among people varies depending on an individual's gender, age, and level of education. Social media has played a key role in spreading anxiety about the COVID-19 outbreak in Iraqi Kurdistan. (shrink)

Functionally graded materials (FGMs) have been used in many different kinds of applications in recent years and have attracted significant research attention. However, we do not yet have a commonly accepted way of representing the various aspects of FGMs. Lack of standardised vocabulary creates obstacles to the extraction of useful information relating to pertinent aspects of different applications. A standard resource is needed for describing various elements of FGMs, including existing applications, manufacturing techniques, and material characteristics. This motivated the creation (...) of the FGM Ontology (FGMO) in 2016. Here, we present a revised and expanded version of the FGM Ontology, which includes enrichments along four dimensions: (1) documenting recent FGMs applications; (2) reorganising the framework to incorporate an updated representation of types of manufacturing processes; (3) enriching the axioms of the ontology; and (4) importing mid-level ontologies from the Common Core Ontologies (CCO) and Product Life Cycle (PLC) Ontologies. The work is being carried out within the framework of the Industry Ontology Foundry (IOF), and the ontology is conformant to Basic Formal Ontology (BFO). (shrink)

In written and spoken communications, metaphors are often used as an aid to help convey abstract or less tangible concepts. However, the benefits of using visual metaphors in visualization have so far been inconclusive. In this work, we report an empirical study to evaluate hypotheses that visual metaphors may aid memorization, visual search and concept comprehension. One major departure from previous metaphor-related experiments in the literature is that we make use of a dual-task methodology in our experiment. This design offers (...) an abstraction of typical situations where viewers do not have their full attention focused on visualization (e.g., in meetings and classes). The use of the secondary task introduces “divided attention”, and makes the effects of visual metaphors more observable. In addition, it also serves as additional masking in memory-based trials. The results of this study show that visual metaphors can help participants better remember the information depicted in visualization. On the other hand, visual metaphors can have a negative impact on the speed of visual search. The results also show a complex pattern as to the benefits of visual metaphors in helping participants grasp key concepts from visualization. (shrink)

Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in semantic annotation of (...) large amounts of ncRNA biological and clinical data. (shrink)

This paper examines two objections to the infinitist theory of epistemic justification, namely “the finite mind objection” and “the distinction objection.” It criticizes Peter Klein’s response to the distinction objection and offers a more plausible response. It is then argued that this response is incompatible with Klein’s response to the finite mind objection. Infinitists, it would seem, cannot handle both objections when taken together.

The U.S. FDA has issued emergency use authorizations for monoclonal antibodies for non-hospitalized patients with mild or moderate COVID-19 disease and for individuals exposed to COVID-19 as post-exposure prophylaxis. One EUA for an oral antiviral drug, molnupiravir, has also been recommended by FDA’s Antimicrobial Drugs Advisory Committee, and others appear likely in the near future. Due to increased demand because of the Delta variant, the federal government resumed control over the supply and asked states to ration doses. As future variants (...) with increased infectivity and/or severity emerge, further rationing may be required. We identify relevant ethical principles and priority groups for access to therapies based on an integrated approach to population health and medical factors. Using priority categories to allocate scarce therapies effectively operationalizes important ethical values. This strategy is preferable to the current approach of categorical rules based on vaccination, immunocompromise status, or older age, or the ad hoc consideration of clinical risk factors. (shrink)

Choice experiment (CE) is a questionnaire based method that the accuracy of research questionnaire determines the validity of the research outcomes. Attribute selection has a prime importance in every CE studies. If respondents do not understand or do not have preference for a certain attribute, the attribute non-attendance problem might happen that biases overall results of the research. Qualitative approaches such as literature review, focus group discussion, and in depth discussion commonly applied in CE researches. However, especially in the developing (...) countries context where ethnical and cultural diversity is a challenge in conducting survey based questionnaires, qualitative methods are not sufficient in selecting attributes. Present study investigates the application of relative importance index (RII) in respondents¡¯ preference for attributes in a modal shift study in Klang Valley, Malaysia. The 5 point Likert scale questions were employed to enhance respondents¡¯ preferences for initial 24 selected attributes. The results of this study showed that from 24 pre-selected attributes, only 18 of them had RII>0.5 and could be included in the final CE design. The results of this study could help researchers to control for unobserved problems in selecting the attributes which could not be discovered through qualitative approaches. -/- . (shrink)

The current paper expands on previous work done on the influence of learners’ language and preexisting knowledge on understanding physics terminology by exploring the concept of ACCELERATION in Arabic and English. The study attempts to answer two questions: (1) what are the similarities and differences between the polysemy of Arabic تَسَارُع (tasāruʿ) (acceleration) and the polysemy of English acceleration, and (2) to what extent do prototypes and factors motivating the conceptualization of تَسَارُع (tasāruʿ) and the conceptualization of acceleration converge or (...) diverge? To this end, Arabic and English dictionaries and corpora, the ArabiCorpus (Arabic Corpus Search Tool) and the British National Corpus (BNC), were employed. The dictionaries were surveyed to explore the various meanings of تَسَارُع (tasāruʿ) and acceleration, while the ArabiCorpus and the BNC were employed to investigate the senses and to identify the most frequent collocates and so the prototypes of these terms. The meaning extension of the terms is examined on the basis of the cognitive mechanisms which appear in the corpora. Theoretically, the paper is informed by the prototype theory (Rosch, 1973; 1975), image schemas (Johnson, 1987), and conceptual metaphor (Lakoff & Johnson, 1980/2003). The results show that تَسَارُع (tasāruʿ) (acceleration) and acceleration generally overlap in terms of polysemy, prototype, and images schemas as well as conceptual metaphor that organize the conceptualization of these terms. It was also found that both Arab and English speakers mix ACCELERATION up with SPEED and so misunderstand them in a scientific setting. The present findings have several implications for science curriculum design, education, and research on universal and culture-specific properties of language. (shrink)

The fourth goal in Sustainable Development Goals (SDG) spells out Quality Education that demands teachers across all disciplines to teach effectively. The available literature suggests that teaching effectiveness starts from good planning, which should be evident in the documentation of lesson plans. However, when it comes to English teachers, their demanding roles that are attributed to the value-laden content, the grading of essays, the performance pressure of high-stake testing, and the requirement of culturally appropriate pedagogies (Loh & Liew, 2016)have caused (...) the practice of writing lesson plans to be challenged, causing the effectiveness of the teaching to be jeopardised. English teachers in international schools are not exempted from facing this problem, yet little studies have been done on the teachers in this context. To achieve the purpose, this research adopts a case study design using document analysis and semi-structured interview to collect the data. The data were analysed quantitatively using a lesson plan rubric by Student Teacher Assessment Instrument (STAI) and thematic analysis, respectively. The study unveils that the teachers had a moderate level of lesson plan, suggesting a need for further support in lesson planning. The findings of this study will be helpful for English. Teachers understand the importance of writing an effective lesson plan as it has a high possibility of enhancing teaching effectiveness. (shrink)

The purpose of this study was to evaluate the differentiated learning training program at the mathematics subject teachers' meeting (MGMP). A descriptive quantitative approach was used to identify the successes of the program and areas that require improvement. The sample included 21 mathematics teachers in Sub Rayon 2 of Lebak District. The instruments used were questionnaires in which data on participants' responses to resource persons, materials, and suggestions for future activities were collected, and the results of direct observations. Data analysis (...) was carried out using descriptive statistical methods to describe the overall evaluation results. Based on the findings, it is expected to provide an in-depth view of the differentiated learning program, contribute to the development of the program in the future, and become a guideline for improving the quality of mathematics learning in the Lebak district. The results of this training program evaluation show that the differentiated learning training activities have been well implemented in MGMP Mathematics Sub Rayon 2 Lebak District. This is evidenced by the level of teacher satisfaction in participating in the training, the majority of which were at scores 4 and 5, namely agreeing and strongly agreeing. This was also the case with the resource persons, materials, and training facilities, and organization. It is hoped that in the future continue to carry out ongoing training related to differentiated learning by current needs and to improve the competence of mathematics teachers in particular, as well as teachers of other subjects in general. (shrink)

Abstract- This study's objective is to examine how people perceive about the technology. Use by public employees via interpreting the intentional approach of users in Pakistan context. The prevailing research inculcates the behavioral constructs such as "perceived usefulness" (PU), " Trust in technology (TIT), "intention to utilize (ITU)," and "perceived ease of use" (PEOU), together with other relevant considerations, affect how an employee feels about their employer's tendency to utilize modern technology in the public sector. TAM and Technology Acceptance Model (...) and the Unified Theory of Acceptance (UTAUT) are to be applied respectively. Use of Technology is to be incorporated into its theoretical underpinnings, both of which are helpful in determining an employee's intent with regard to the usage of e-government services. The proposed conceptual framework model was empirically tested by using a sampling method to collect 243 responses out of a total of 400 survey items that were distributed among public employees. Data were gathered using the suggested survey questions, which analyzed by using SPSS version 24 and included hypothesis tests validated by multiple regressions and pearson's correlation. According to the findings of the research that was conducted, all of the proposed factors have a positive and significant relationship with the dependent construct intention to use (ITU) e-Government.\and the present research also encircled limitation, practical implications and future direction. (shrink)

Abstract- Performance is the primary function of human resource management and it becomes life line of an organizational success. The performance gap is extremely highly detrimental towards an organizational success. Prevailing study is concerned with the affecting factors of teachers’ performance in which administrative bureaucratization, unequal provision of opportunities, social status and incentives gap loss the vitality and tempo of performance in classroom atmosphere. Emergence of complexities in teachers’ life allow to a complex instructional approach that gives birth to a (...) problematic classroom and breach the center of attention and rejects a sound learning environment. The exiting study is concerned with an investigation of teachers hampering antecedents to lower down their performance by an empirical means on the basis of survey research and quantitative approach. In data collection 350 questionnaires were distributed and respondents’ feedback remained 243 (69.4%) and population was investigated on the basis of affecting antecedents towards teachers’ performance at middle and higher secondary level and random sampling technique was applied. Five points Likert scale tool was used to collect the data and analysis was carried out via SPSS version 24. Lowering performance hampers the education transmission to coming generation and it results to professional dissatisfaction and unfriendliness to class room environment. The reflexive attitudes of teacher relate to boredom, monotony and ineffective delivery of teaching objectives and scarcity of interest prevail and feelings like deprivation to students and coworkers to become a reason to discontent and discomfort towards the organization. (shrink)

Abstract: The use of the technology in the way of teaching and learning in the higher educational institutions sustained a significant position during the pandemic emergency in Pakistan and across the world to continue the educational activities. The extant study investigates the pedagogical challenges in which proposed factors used to discover the intention of the users in the form of their ease of the technological use and assessing the social influence of people regarding the innovative digital adoption in the online (...) learning atmosphere. This research inculcates the antecedents like perceived ease of use (PEOU) social influence (SI), satisfaction (S), and intention to use (ITU) to chart out the perception of the wireless based educational activities during the COVID-19 outbreak in the country and it aims to produce an empirical analysis of the easiness and social influence of users to accept the newly adopted technology and calculating the Web based pedagogical challenges via interpreting the users’ intention. For the data analysis 216 questionnaires have been collected from the teacher and students among three public universities in Sindh and the existing review develops a proposed conceptual framework model to meet the objectives of the study. In the way of the interpretation of data SPSS version 24 was brought in use and the testes of the hypotheses were carried out by means of regression and correlations. The research follows the limitation to meet the quantitative research methodology, teachers’ web based easiness and social feedback to deliver the online teaching and the recommendations urge to discover a research by using different factors. (shrink)

It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred (...) to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that enable older, impaired or frail people to live independently and stay active longer in society. AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence, comfort, security and safety. The application scenarios addressed by AAL are complex, due to the inherent heterogeneity of the end-user population, their living arrangements, and their physical conditions or impairment. Despite aiming at diverse goals, AAL systems should share some common characteristics. They are designed to provide support in daily life in an invisible, unobtrusive and user-friendly manner. Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs. Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives. In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. Indeed, cameras and microphones are far less obtrusive with respect to the hindrance other wearable sensors may cause to one’s activities. In addition, a single camera placed in a room can record most of the activities performed in the room, thus replacing many other non-visual sensors. Currently, video-based applications are effective in recognising and monitoring the activities, the movements, and the overall conditions of the assisted individuals as well as to assess their vital parameters. Similarly, audio sensors have the potential to become one of the most important modalities for interaction with AAL systems, as they can have a large range of sensing, do not require physical presence at a particular location and are physically intangible. Moreover, relevant information about individuals’ activities and health status can derive from processing audio signals. Nevertheless, as the other side of the coin, cameras and microphones are often perceived as the most intrusive technologies from the viewpoint of the privacy of the monitored individuals. This is due to the richness of the information these technologies convey and the intimate setting where they may be deployed. Solutions able to ensure privacy preservation by context and by design, as well as to ensure high legal and ethical standards are in high demand. After the review of the current state of play and the discussion in GoodBrother, we may claim that the first solutions in this direction are starting to appear in the literature. A multidisciplinary debate among experts and stakeholders is paving the way towards AAL ensuring ergonomics, usability, acceptance and privacy preservation. The DIANA, PAAL, and VisuAAL projects are examples of this fresh approach. This report provides the reader with a review of the most recent advances in audio- and video-based monitoring technologies for AAL. It has been drafted as a collective effort of WG3 to supply an introduction to AAL, its evolution over time and its main functional and technological underpinnings. In this respect, the report contributes to the field with the outline of a new generation of ethical-aware AAL technologies and a proposal for a novel comprehensive taxonomy of AAL systems and applications. Moreover, the report allows non-technical readers to gather an overview of the main components of an AAL system and how these function and interact with the end-users. The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely lifelogging and self-monitoring, remote monitoring of vital signs, emotional state recognition, food intake monitoring, activity and behaviour recognition, activity and personal assistance, gesture recognition, fall detection and prevention, mobility assessment and frailty recognition, and cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted. The report ends with an overview of the challenges, the hindrances and the opportunities posed by the uptake in real world settings of AAL technologies. In this respect, the report illustrates the current procedural and technological approaches to cope with acceptability, usability and trust in the AAL technology, by surveying strategies and approaches to co-design, to privacy preservation in video and audio data, to transparency and explainability in data processing, and to data transmission and communication. User acceptance and ethical considerations are also debated. Finally, the potentials coming from the silver economy are overviewed. (shrink)

This comprehensive volume features the proceedings of the Third International Workshop on Logics for New-Generation Artificial Intelligence and the International Workshop on Logic, AI and Law, held in Hangzhou, China on September 8-9 and 11-12, 2023. The collection offers a diverse range of papers that explore the intersection of logic, artificial intelligence, and law. With contributions from some of the leading experts in the field, this volume provides insights into the latest research and developments in the applications of logic in (...) these areas. It is an essential resource for researchers, practitioners, and students interested in the latest advancements in logic and its applications to artificial intelligence and law. (shrink)

Jiangxi is a province in southeast China that is known for its pastoral scenery, which include rice fields, rivers, and mountains. It has traditionally been on important north-south trade routes, with its centre in the valley of the Gan River. The problem of students in learning historical subjects is a big problem. Historical subjects are tough for students to understand. So primary schools in Jiangxi, China are facing some problem to learn history subject. The purpose of this study is to (...) identify children’s preferences on graphic design. Generating design ideas of the preferences identified using participatory design method. As such, this study focuses on how graphic design and its important elements can become instrumental in improving the teaching of those subjects to students allowing the development of various materials which can help in developing that deeper understanding. In this research we will use qualitative research to identify children’s preferences on graphic design in Jiangxi, China. Keywords: Graphic Design, Chinese Historical Subject, Primary Students. (shrink)

Abstract: Pakistan has been affected by the outbreak of COVID-19 and government took effective initiatives to deal the prevailing situation in a possible means. Likely, in the education sector government adopted online learning process across the country and adapted the electronic learning environment in order to seize the spread the pandemic. This study investigates the perception of students regarding their adoption of digital assessment during COVID-19 outbreak to evaluate their educational activities. Digital assessment is also considered as electronic assessment in (...) which students educational evaluation is materialized to encircle the online examination, assignment submission, and calculation of candidate's study progress. The aim of this study is to provide an empirical investigation of online via discovering the intentional approach of electronic learning users in Pakistan during COVID-19 outbreak. The interpretation of the questionnaires of student and teachers is based on the data that has been collected from the public universities in Sindh. For investigating users of digital assessment behavioral determinants were applied in which (PEOU, PU, SI and OA) measured with and intention to use digital assessment (ITDA) and proposed determinants users intention during the outbreak of the pandemic. The prevailing survey study follows the conceptual proposed framework model that assists to investigate the users' perception towards students' online assessment. For the data analysis 413 questionnaires were distributed and 286 respondents feedback restored by filling the research items online means. Moreover, SPSS version 24 was adopted and hypothesis tested through egressions and correlations. The research is confined to higher education and online learning system in Pakistan needs to be examined at higher secondary and country level. (shrink)

In the last decade, online learning has grown rapidly. However, the outbreak of coronavirus (COVID-19) has caused learning institutions to embrace online learning due to the lockdown and campus closure. This paper presents an analysis of students’ feedback (n=354) from the Centre of Pre-University Studies (PPPU), Universiti Malaysia Sarawak (UNIMAS), Malaysia, during the transition to fully online learning. Three phases of online surveys were conducted to measure the learners’ acceptance of the migration and to identify related problems. The result shows (...) that there is an increased positivity among the students on the vie of teaching and learning in STEM during the pandemic. It is found that online learning would not be a hindrance, but blessing towards academic excellence in the face of calamity like the COVID-19 pandemic. The suggested future research direction will be of interest to educators, academics, and researchers’ community. (shrink)

Due to ethical lapses of leaders, interest in ethical leadership has grown, raising important questions about the responsibility of leaders in ensuring moral and ethical conduct. Research conducted on ethical leadership failed to investigate the active role that the characteristics of ethical climate and organisational justice have an increasing or decreasing influence on the ethical leadership in the organisation’s outcomes of employees’ ethical behaviour. Thus, this study examined the dual-mediations of work ethical climate and organisational justice on the relation of (...) ethical leadership and ethical behaviour of employees. A total of 620 full-time employees from five Iraqi provinces working at 33 Iraqi organisations in the field of manufacturing, retailing, medical, insurance, information technology, legal, finance, and telecommunication responded to the questionnaire survey. Structural equation modelling (SEM) was used to test the model and data analysis was carried out using structural equation modelling-partial least square (SEM-PLS). The results revealed that there is a significant relationship between ethical leadership behaviour and the ethical behaviour of employees. Primarily, the study also found that ethical climate and organisational justice play a very significant mediating role between ethical leadership and employees’ ethical behaviour. (shrink)

Abstract: Adoption of digital system becomes an innovative revolution to replace the tradition work into scientific means. Electronic government is the use of technology in which particular wireless based application sustains the provision of online interconnectivity in the way to convey a speedy service delivery and materialize an easy accessibility of users via government portal. Moreover, the vitality of e-government has been recognized in the contemporary era of science and technology across the world. The chief aim of this study to (...) represent a literature of an electronic government use in a conceptual means in which proposed determinants as PEOU, PU, TIEG, SI, and ITU envisage the intention of the users’ online services of government in a Pakistan perspective. In the existing literature all constructs of the proposed model possess an effect on the intention to use e - government and the theoretical approach encompasses the TAM and UTAUT model to assist the technological adopti on of the employee's use of the innovative system in an organization. However, Pakistan has been ranked low in the e-government development index that seems the backwardness of the e-government adaptation in the country that is recognized as the dire need to be adjusted with public sectors to sustain an effective and efficient service delivery. It seems the poor literacy rate an d financial constraints are serious obstacles for adopting e-government technology in the working atmosphere of the diverse public sector organizations. Keywords: Electronic government, Perceived usefulness, Obstacles, Recommendations, Intention to use. (shrink)

Abstract: Female at the top of managerial hierarchy is less as compared to male throughout the world. in the same manner Balochistan cannot be ignored. Balochistan is severely dominated by male chauvinism and is a patriarchal society with that women face restrictions or hurdles while heading to top managerial positions or career. In addition, literacy is showing positive indicators, effective efforts from incumbent government, awareness, social media; main-media women at work places and top positions are being accepted. There is much (...) activism and dynamism throughout the country. The sole aim of the study to discern women practices, experiences, obstacles, and relevant challenges. This study is qualitative in nature. With that, it is based on phenomenology approach. The sample for the paper collected from field of education, literate women and working women in different organizations. The paper finds out that recognition of women at the managerial level is recognized. For the study three main themes emerged from the study, first, obstacle confronted by working females of Balochistan, second, with that their experiences at work places and third, what role played by the government and how the existing issues or conundrum can be resolved with the help of the government of Pakistan and the society at large. (shrink)

In india each and every minute one person become internet users. its convergence with digitally supported platforms and gadgets, safeguarding the parents as well as students from the cybercrimes is becoming a challenging task. In addition to, the pinching reality is that the internet users are not getting updated on the vulnerable cyber threats and security issues, at the pace they are getting updated with the usage of internet enabled tools and apps. Thus the current research paper focuses in finding (...) out the answers to alarming questions - "Is the netizen really aware that he she is vulnerable to various cyber crimes " "If netizen is aware, to what extent ", "If not aware of cybercrimes, what measures can be adopted to make the nitzens more aware and updated. The paper suggested a conceptual model explaining how to uphold and implement the awareness programmes among internet users regarding cybercrimes. Jigar Shah "A Study of Awareness About Cyber Laws for Indian Youth" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016,. (shrink)

Abstract- Administrative corruption has a long history in Pakistan which affected each public institution since its inception. Good governance in Pakistan never took a sigh due to Bribery in public sector and versatile Miraculous of Corruption in Public Administration. Administrative corruption possesses a multidimensional and complex phenomenon that has been created by numerous factors to affect at a wide range and each segment of society to be exhibited in a diversity of roles and traits. This study is considering significance of (...) the subject and discovers the respondents’ response and identifies the causes and consequence of this dilemma. The current research attempts to measure the administrative corruption in education sector in Sindh and it also encompasses the implications on education professionals’ performance and their profession. For data analysis, sampling was derived from teaching, and non-teaching staff in education sector to construct open ended questionnaires and respondents’ privacy was ensured to fill the survey items. For data collection, 203 respondents feedback was secured and analysis was carried out by means of SPSS. The self-constructed questionnaires were used and the findings of the study support the administrative corruption in education sector was faced by respondents in the form of agent and non-agent based corruption in the treasury and concerned offices in the education department. In this way, agent based corruption and non-agent based corruption maintain positive and significant relation with Administrative Corruption. Moreover, prevailing study also encircles implications and recommendation, limitations, and future direction. Keywords: Administrative Corruption, Education Sector, Administrative System, Bribery. (shrink)