Abstract: Breast cancer is reported to be the most common cancer type among women worldwide and it is the second highest women fatality rate amongst all cancer types. Notwithstanding all the progresses made in prevention and early intervention, early prognosis and survival prediction rates are still not sufficient. In this paper, we propose an ANN model which outperforms all the previous supervised learning methods by reaching 99.57 in terms of accuracy in Wisconsin Breast Cancer dataset. Experimental results on Haberman’s Breast (...) Cancer Survival dataset show the superiority of proposed method by reaching 88.24 % in terms of accuracy. The results are the best reported ones obtained from Artificial Neural Network using JNN environment without any preprocessing of the dataset. (shrink)

Abstract Qadi `Abdul-Jabbar, although has come to be Known as a Mu`tazili theologian, can be certainly mentioned as a moral philosopher by attention to his ethical views in the theological books. The paper is going to present his ethical opinions concerning normative ethics and Meta-ethics. It shows that `Abdul-Jabbar is a rationalist moral philosopher, who considers reason as the origin of moral obligations, and as the means of evaluating the rightness and wrongfulness of actions. Moreover, he is an (...) essentialist, that is, he regards the nature of actions as the source of rightness or wrongfulness of actions, rather than the external factors. Furthermore, he is a rule-deontologist, who holds human beings must act in accordance with rules and duties. In addition to these, he is an ethical intuitionist and foundationalist; that is to say, he believes that there exist basic moral propositions that can be intellectually intuitionable. These propositions expressing moral principles are evident and necessary ones, and determinant foundations of other duties, whether theoretical or practical. (shrink)

This is a book on being close to God, and then getting a blessing continuously.

Abstract:- Literature forms the bedrock of a society and helps in the socio-cultural development of a nation. It would also help in the creation of a society with the values of love and peace, empowering the age-old traditional practices of war and deprivation. Saudi Arabia is a country that has rich cultural history and has since ages gained a prestigious place in the globe, as the birthplace of both, the Islam and the Prophet of Islam, Muhammad- peace and blessings of (...) Allah be upon Him. Donning the pluralism in the diversity of literature, Arabian Novel holds a significant importance in raising the socio-cultural aspects of Arabian life. The peninsula would be sincerely accorded with the coining of the word ‘Peace,’ as the main source that the region has drawn its inspiration from, is ‘Al-Quran,’ the religious book of Islam, which makes it a moral obligation of a person to do justice and live in accordance with peace with all, friends as well as foes. The Gandhian notion of non-violence and the one coined by the Saudi novelists lies on the same values, and has no overall religious interference in them, in particular. Keywords: Novel, non-violence, Peninsula, casteism, war. (shrink)

This ninth volume of Collected Papers includes 87 papers comprising 982 pages on Neutrosophic Theory and its applications in Algebra, written between 2014-2022 by the author alone or in collaboration with the following 81 co-authors (alphabetically ordered) from 19 countries: E.O. Adeleke, A.A.A. Agboola, Ahmed B. Al-Nafee, Ahmed Mostafa Khalil, Akbar Rezaei, S.A. Akinleye, Ali Hassan, Mumtaz Ali, Rajab Ali Borzooei , Assia Bakali, Cenap Özel, Victor Christianto, Chunxin Bo, Rakhal Das, Bijan Davvaz, R. Dhavaseelan, B. Elavarasan, Fahad Alsharari, T. (...) Gharibah, Hina Gulzar, Hashem Bordbar, Le Hoang Son, Emmanuel Ilojide, Tèmítópé Gbóláhàn Jaíyéolá, M. Karthika, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Huma Khan, Madad Khan, Mohsin Khan, Hee Sik Kim, Seon Jeong Kim, Valeri Kromov, R. M. Latif, Madeleine Al-Tahan, Mehmat Ali Ozturk, Minghao Hu, S. Mirvakili, Mohammad Abobala, Mohammad Hamidi, Mohammed Abdel-Sattar, Mohammed A. Al Shumrani, Mohamed Talea, Muhammad Akram, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Gulistan, Muhammad Shabir, G. Muhiuddin, Memudu Olaposi Olatinwo, Osman Anis, Choonkil Park, M. Parimala, Ping Li, K. Porselvi, D. Preethi, S. Rajareega, N. Rajesh, Udhayakumar Ramalingam, Riad K. Al-Hamido, Yaser Saber, Arsham Borumand Saeid, Saeid Jafari, Said Broumi, A.A. Salama, Ganeshsree Selvachandran, Songtao Shao, Seok-Zun Song, Tahsin Oner, M. Mohseni Takallo, Binod Chandra Tripathy, Tugce Katican, J. Vimala, Xiaohong Zhang, Xiaoyan Mao, Xiaoying Wu, Xingliang Liang, Xin Zhou, Yingcang Ma, Young Bae Jun, Juanjuan Zhang. (shrink)

This fourteenth volume of Collected Papers is an eclectic tome of 87 papers in Neutrosophics and other fields, such as mathematics, fuzzy sets, intuitionistic fuzzy sets, picture fuzzy sets, information fusion, robotics, statistics, or extenics, comprising 936 pages, published between 2008-2022 in different scientific journals or currently in press, by the author alone or in collaboration with the following 99 co-authors (alphabetically ordered) from 26 countries: Ahmed B. Al-Nafee, Adesina Abdul Akeem Agboola, Akbar Rezaei, Shariful Alam, Marina Alonso, Fran (...) Andujar, Toshinori Asai, Assia Bakali, Azmat Hussain, Daniela Baran, Bijan Davvaz, Bilal Hadjadji, Carlos Díaz Bohorquez, Robert N. Boyd, M. Caldas, Cenap Özel, Pankaj Chauhan, Victor Christianto, Salvador Coll, Shyamal Dalapati, Irfan Deli, Balasubramanian Elavarasan, Fahad Alsharari, Yonfei Feng, Daniela Gîfu, Rafael Rojas Gualdrón, Haipeng Wang, Hemant Kumar Gianey, Noel Batista Hernández, Abdel-Nasser Hussein, Ibrahim M. Hezam, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Muthusamy Karthika, Nour Eldeen M. Khalifa, Madad Khan, Kifayat Ullah, Valeri Kroumov, Tapan Kumar Roy, Deepesh Kunwar, Le Thi Nhung, Pedro López, Mai Mohamed, Manh Van Vu, Miguel A. Quiroz-Martínez, Marcel Migdalovici, Kritika Mishra, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohammed Alshumrani, Mohamed Loey, Muhammad Akram, Muhammad Shabir, Mumtaz Ali, Nassim Abbas, Munazza Naz, Ngan Thi Roan, Nguyen Xuan Thao, Rishwanth Mani Parimala, Ion Pătrașcu, Surapati Pramanik, Quek Shio Gai, Qiang Guo, Rajab Ali Borzooei, Nimitha Rajesh, Jesús Estupiñan Ricardo, Juan Miguel Martínez Rubio, Saeed Mirvakili, Arsham Borumand Saeid, Saeid Jafari, Said Broumi, Ahmed A. Salama, Nirmala Sawan, Gheorghe Săvoiu, Ganeshsree Selvachandran, Seok-Zun Song, Shahzaib Ashraf, Jayant Singh, Rajesh Singh, Son Hoang Le, Tahir Mahmood, Kenta Takaya, Mirela Teodorescu, Ramalingam Udhayakumar, Maikel Y. Leyva Vázquez, V. Venkateswara Rao, Luige Vlădăreanu, Victor Vlădăreanu, Gabriela Vlădeanu, Michael Voskoglou, Yaser Saber, Yong Deng, You He, Youcef Chibani, Young Bae Jun, Wadei F. Al-Omeri, Hongbo Wang, Zayen Azzouz Omar. (shrink)

This seventh volume of Collected Papers includes 70 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2013-2021 by the author alone or in collaboration with the following 122 co-authors from 22 countries: Mohamed Abdel-Basset, Abdel-Nasser Hussian, C. Alexander, Mumtaz Ali, Yaman Akbulut, Amir Abdullah, Amira S. Ashour, Assia Bakali, Kousik Bhattacharya, Kainat Bibi, R. N. Boyd, Ümit Budak, Lulu Cai, Cenap Özel, Chang Su Kim, Victor Christianto, Chunlai Du, Chunxin Bo, Rituparna Chutia, Cu Nguyen Giap, Dao The (...) Son, Vinayak Devvrat, Arindam Dey, Partha Pratim Dey, Fahad Alsharari, Feng Yongfei, S. Ganesan, Shivam Ghildiyal, Bibhas C. Giri, Masooma Raza Hashmi, Ahmed Refaat Hawas, Hoang Viet Long, Le Hoang Son, Hongbo Wang, Hongnian Yu, Mihaiela Iliescu, Saeid Jafari, Temitope Gbolahan Jaiyeola, Naeem Jan, R. Jeevitha, Jun Ye, Anup Khan, Madad Khan, Salma Khan, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Kifayat Ullah, Kishore Kumar P.K., Sujit Kumar De, Prasun Kumar Nayak, Malayalan Lathamaheswari, Luong Thi Hong Lan, Anam Luqman, Luu Quoc Dat, Tahir Mahmood, Hafsa M. Malik, Nivetha Martin, Mai Mohamed, Parimala Mani, Mingcong Deng, Mohammed A. Al Shumrani, Mohammad Hamidi, Mohamed Talea, Kalyan Mondal, Muhammad Akram, Muhammad Gulistan, Farshid Mofidnakhaei, Muhammad Shoaib, Muhammad Riaz, Karthika Muthusamy, Nabeela Ishfaq, Deivanayagampillai Nagarajan, Sumera Naz, Nguyen Dinh Hoa, Nguyen Tho Thong, Nguyen Xuan Thao, Noor ul Amin, Dragan Pamučar, Gabrijela Popović, S. Krishna Prabha, Surapati Pramanik, Priya R, Qiaoyan Li, Yaser Saber, Said Broumi, Saima Anis, Saleem Abdullah, Ganeshsree Selvachandran, Abdulkadir Sengür, Seyed Ahmad Edalatpanah, Shahbaz Ali, Shahzaib Ashraf, Shouzhen Zeng, Shio Gai Quek, Shuangwu Zhu, Shumaiza, Sidra Sayed, Sohail Iqbal, Songtao Shao, Sundas Shahzadi, Dragiša Stanujkić, Željko Stević, Udhayakumar Ramalingam, Zunaira Rashid, Hossein Rashmanlou, Rajkumar Verma, Luige Vlădăreanu, Victor Vlădăreanu, Desmond Jun Yi Tey, Selçuk Topal, Naveed Yaqoob, Yanhui Guo, Yee Fei Gan, Yingcang Ma, Young Bae Jun, Yuping Lai, Hafiz Abdul Wahab, Wei Yang, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Lemnaouar Zedam. (shrink)

This twelfth volume of Collected Papers includes 86 papers comprising 976 pages on Neutrosophics Theory and Applications, published between 2013-2021 in the international journal and book series “Neutrosophic Sets and Systems” by the author alone or in collaboration with the following 112 co-authors (alphabetically ordered) from 21 countries: Abdel Nasser H. Zaied, Muhammad Akram, Bobin Albert, S. A. Alblowi, S. Anitha, Guennoun Asmae, Assia Bakali, Ayman M. Manie, Abdul Sami Awan, Azeddine Elhassouny, Erick González-Caballero, D. Dafik, Mithun Datta, Arindam (...) Dey, Mamouni Dhar, Christopher Dyer, Nur Ain Ebas, Mohamed Eisa, Ahmed K. Essa, Faruk Karaaslan, João Alcione Sganderla Figueiredo, Jorge Fernando Goyes García, N. Ramila Gandhi, Sudipta Gayen, Gustavo Alvarez Gómez, Sharon Dinarza Álvarez Gómez, Haitham A. El-Ghareeb, Hamiden Abd El-Wahed Khalifa, Masooma Raza Hashmi, Ibrahim M. Hezam, German Acurio Hidalgo, Le Hoang Son, R. Jahir Hussain, S. Satham Hussain, Ali Hussein Mahmood Al-Obaidi, Hays Hatem Imran, Nabeela Ishfaq, Saeid Jafari, R. Jansi, V. Jeyanthi, M. Jeyaraman, Sripati Jha, Jun Ye, W.B. Vasantha Kandasamy, Abdullah Kargın, J. Kavikumar, Kawther Fawzi Hamza Alhasan, Huda E. Khalid, Neha Andalleb Khalid, Mohsin Khalid, Madad Khan, D. Koley, Valeri Kroumov, Manoranjan Kumar Singh, Pavan Kumar, Prem Kumar Singh, Ranjan Kumar, Malayalan Lathamaheswari, A.N. Mangayarkkarasi, Carlos Rosero Martínez, Marvelio Alfaro Matos, Mai Mohamed, Nivetha Martin, Mohamed Abdel-Basset, Mohamed Talea, K. Mohana, Muhammad Irfan Ahamad, Rana Muhammad Zulqarnain, Muhammad Riaz, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Muhammad Zeeshan, Anjan Mukherjee, Mumtaz Ali, Deivanayagampillai Nagarajan, Iqra Nawaz, Munazza Naz, Roan Thi Ngan, Necati Olgun, Rodolfo González Ortega, P. Pandiammal, I. Pradeepa, R. Princy, Marcos David Oviedo Rodríguez, Jesús Estupiñán Ricardo, A. Rohini, Sabu Sebastian, Abhijit Saha, Mehmet Șahin, Said Broumi, Saima Anis, A.A. Salama, Ganeshsree Selvachandran, Seyed Ahmad Edalatpanah, Sajana Shaik, Soufiane Idbrahim, S. Sowndrarajan, Mohamed Talea, Ruipu Tan, Chalapathi Tekuri, Selçuk Topal, S. P. Tiwari, Vakkas Uluçay, Maikel Leyva Vázquez, Chinnadurai Veerappan, M. Venkatachalam, Luige Vlădăreanu, Ştefan Vlăduţescu, Young Bae Jun, Wadei F. Al-Omeri, Xiao Long Xin.‬‬‬‬‬‬. (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- 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)

The problem of evil has always haunted theologians and philosophers. Throughout the course of this paper I will peruse the concepts of evil put forth by Spinoza and Plotinus. These two notions of evil have many similarities, yet there are some vital distinctions between the two. Plotinus and Spinoza both had rather unique views on the concept of evil that seemed to be ahead of their time in many ways. These two philosophers’ outlook on the notion of evil departs from (...) the classical theological perspective on evil. This departure from this classical line of reasoning is extremely significant for our modern-day outlook on the concept of evil. Therefore, perusing their ideas of evil will prove worthwhile. The aim of this paper is to compare and contrast these notions of evil and highlight their similarities and differences. Ultimately, by examining and connecting Spinoza’s and Plotinus’ way of dealing with the problem of evil, I hope to present the reader with a sound alternative route to the problem of evil. (shrink)

ABSTRACT For learning any language, motivation plays a vital role. This study aims to investigate collegiate students’ predictive motivational factors toward students’ attitude toward learning English as secondary language. This is a cross-sectional study in which questionnaire was adapted from the existing literature for data collection. For this quantitative study data were collected from two government degree colleges of Larkana. Total 400 questionnaires were randomly distributed among intermediate students both boys and girls, out of that 247 were returned. Data were (...) analyzed using statistical packages for social sciences (SPSS) version 24. Initially, data were cleaned by identifying missing values and outliers. Study hypotheses were examined using Multiple Regression Analysis (MRA). The findings of this study revealed that instrumental motivation and parental encouragement (independent variables) have positive and significant relationship with attitude toward learning English. However, one variable i.e. integrative motivation was not found as a significant and positive predictor of the dependent variable. Like any study, this study also possesses few limitations, such as sample size, time horizon, and context of the study. In the end, future directions are given for further exploration. (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)

Throughout the course of this paper I build upon the foundations of William Desmond’s philosophy in order to develop a rebuttal towards the nihilistic consequences brought about by many modern thinkers, for example: Albert Camus. These nihilistic consequences seem to play a significant role in the drastic increase of anxiety and depression seen throughout our current epoch. Ultimately, philosophies such as that of Camus cannot avoid this fall into nihilism. Nevertheless, these ramifications seem to stem from a misinterpretation of Camus’ (...) notion of the ‘Absurd’. Thus, this confrontation with the absurd determines whether or not we can escape the consequences of nihilism that can be found throughout modernity. (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)

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)

Abstract: This study aims to evaluate the utilization of ICT in education administration and management in a Pakistan context during the pandemic outbreak. Adoption of information and communication technologies (ICTs) has digitalized the learning process where education organizations were administrated by means of wireless-based instructions, electronic pedagogy, and online assessment in order to continue the educational activities while the government halted the physical appearance in education institutions. Data collection has been carried by three public universities in which teachers and general (...) administration of these institutions participated to discover their intention to use the assigned technology to administrate organizations’ policies in the way to disseminate the respective service delivery. Survey questionnaires were used, and 178 respondents’ feedback was secured to analyze the study that was carried out via SPSS version 24 and validation OF hypotheses measured by means of regressions and correlations. Moreover, proposed factors like intention to use, perceived ease of ease, perceived usefulness, social influence, and Users’ expectations were used. A theoretical approach was inculcated to encircle the UTAUT and TAM model to determine the adoption of the innovative system education management during the pandemic outbreak in the country. (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)

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.

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)

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)

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)

Objective: The nutrient artery which enters through the nutrient foramen (NF) provides blood circulation and nutrition in long bones. This supply is essential during the growing period, the early phases of ossification, and in some surgical procedures. This study aimed to investigate NF in adult human ulnas in the Turkish population. -/- Methods: For this study, 155 (70 right and 85 left) Turkish dry adult human ulnas were used. The presence, number, and patency of NF were recorded as well as (...) its topography and direction. The vertical distance between the most proximal point of the olecranon and the proximal edge of the NF (DONF), and the longitudinal distance between the most ventral point of the coronoid process on the sagittal plane and the proximal edge of the NF (DCpNF) was calculated. Additionally, the foraminal index (FI) was assessed. -/- Results: Single and double NFs were in 139 ulnas (89.67%), and 3 ulnas (1.94%), respectively. NFs were not observed in 13 ulnas (8.39%). The majority of NFs (93.12%) were situated on the anterior surface of the ulna. The direction of all NFs was towards the elbow. The mean DONF and DCpNF were 9.48 ± 1.57 cm, and 6.68 ± 1.44 cm, respectively. The FI was 37.45% in ulnas with a single NF, while it was 41.46% in ulnas with a double NF. -/- Conclusion: Our study has presented additional information such as the FI of ulnas with 2 NFs, and the distance between the coronoid process and NF in the Turkish population. (shrink)

This study aims to look at the role of the practice of excellence strategies in education in achieving sustainable competitive advantage for the Higher educational institutions of the faculty of Engineering and Information Technology at Al-Azhar University in Gaza, a model, and the study considered the competitive advantage of educational institutions stems from the impact on the level of each student, employee, and the institution. The study was based on the premise that the development of strategies for excellence in education, (...) and its implementation is a vital important prerequisite to achieve sustainable competitive advantage in higher educational institutions. The study followed a systematic exploratory descriptive methodology through review of the theoretical literature, and the adoption of the experience of the Faculty of Engineering and Information Technology at Al-Azhar University in Gaza as a model for its unique experience in the field of excellence in education. The study results showed that the most important are: There is a strong correlation between the level of exercising excellence strategies in education and the achievement of higher educational institutions to the sustainable competitive advantage. The results include a general required number of important sub results on the subject of the model - Faculty of Engineering and Information Technology at Al-Azhar University in Gaza as follows: - The student considered the academic focus of the operation in the development process of the workers’ skills, particularly academics at the university helps to distinguish students and increase the employment rate after graduation. - The existence of consistency in development efforts and quality improvement for all three levels (student, employee, and the university), and this contributes to the Faculty excellence. - The Faculty has been able to achieve competitive advantages by offering excellent services without harming the efficiency, and this alone is a great success because improving service properties requires great investments, which negatively affect the continued institutional development. The study also reached a set of recommendations as follows: - The need to exercise excellence strategies in education, excellence reward at the national level, and those higher educational institutions follow the criteria for measuring the competitive advantages of its institutions always. - There is a need to increase efforts to implement programs of excellence, the allocation of adequate time, reward outstanding efforts as well. There is a necessity for each faculty to achieve competitive advantage and sustainability, using the general philosophies of competitive advantage, but with a different strategically content from what is in the private commercial sector, it reflects the Faculties mission and objectives, depending on making improvements and excellence in processes that ensure the safety of its outputs. As well as the need to find a balance between the work of teaching and research work of the faculty members, this has important implications regarding the criteria used in the process of excellence evaluation. The study recommended the adoption of strategies for excellence in education on a national public policy level mainly in the processes of change in higher education institutions. The need to support the existence of a common understanding of the efforts of excellence to create a general culture that appreciates excellence in faculties and universities. This underlines the need for transparent, fair rewards systems, to encourage innovation in education. The need to conduct a comprehensive surveys on the graduates of faculties and universities including the areas of employment and skills, because that will give accurate indications of the graduates and will help to establish a link to a more precise about the relationship of excellence strategies with the competitive advantages. (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)

As parents and students wished not to be closed these schools because the direct victim will be the students if any action form government is taken for shutting down the schools. These schools should be handed over to local management. About the issue of closing Pak-Turk Schools, Imran Khan, head of the leading political party, now the Prime Minister of Pakistan, said that Pakistan would respect the Turk government’s decision; however, he suggested an amicable solution of the issue so as (...) to protect the future of the students as well as of the teachers. According to the press statement released from PTI Central Media Department, during the meeting they discussed the issues of mutual importance Now the local administration should develop diversification in vision and mission of the organization. (shrink)

Long before the colonialists stepped into the shore of the Nigerian nation and African Continent in general,masquerade played a central role in the lives of the people. Even at the moment, among many others, masquerade performs the role of social control across some Nigerian rural communities. It is based on this that the researchers are motivated to examine the social role of masquerade in the society with the aimofusing the knowledge to review how cultural institution like masquerade can be used (...) to resuscitate social orders in the contemporary Nigerian socio-economic and political systems. To this end, the critical discourse analysis methodology was adopted for the study. Through this research apparatus, the paper systematically analyses the issue. The result shows that cultural institution such as masquerade, if properly given attention to, like in the yesteryears, can control social ills such as corruption, bribery, and lots of other social problems that have bedeviled the Nigerian nation over the years. (shrink)

Abstract: English language teaching is very important because of the global status of English. English language teaching is a process that requires great efforts on the part of all the participants. Classroom interactions, activities, textbooks are the most important elements of teaching process for the aims and objectives of a course. Main objective of this study is to discover English language teaching skills in primary schools of union council Kumb Taluka Kotdiji, District Khairpur Mir’s. The Questionnaire was prepared for teachers (...) to explore the different aspects of teaching English skills and teachers’ skills, (Training, teacher qualifications regarding English, English teaching methodologies). The questionnaire identifies teacher training and instructional materials. A sample of 20 teachers (both male and female) were selected from different schools of union council Kumb Taluka Kotdiji, District Khairpur Mir’s. The data obtained was tabulated and analyzed by the percentage. (shrink)

Abstract— This study aimed to identify the degree of use of the capabilities of decision-support systems in Palestinian institutions higher education, Aqsa University in Gaza - a case study. The study used a analytical descriptive approach, and the researchers used the of questionnaire tool to collect the data, the researchers using stratified random sample distributed (150) questioners to the study population and (126) was obtained back with rate of 84%. The study showed that the most important results are: that senior (...) management supports the existence of decision support systems and that there is approval by the respondents on the paragraphs of the use of the capabilities of decision support systems in general. And that there are no significant differences between the averages of the answers of respondents differences about the degree of use of decision support systems capabilities attributed to personal data. The study also concluded a series of recommendations including: increasing the adoption of the senior management decision support in their decision-making systems. And increased regulatory attention to the potential available to decision support systems directly to the senior management in the Palestinian universities in the Gaza Strip. There is an increased interest in the physical and technical possibilities available for the use of decision support systems. There is an increased interest in human potential available for the use of decision support systems. Investment of information available to universities in building the capacities of integration techniques and other information technology capabilities. The empowerment of human resources in universities and participating in making decisions concerning the construction of the capabilities of information technology. (shrink)

Nomophobia (no-mobile-phone phobia) is the fear and anxiety of being without a mobile phone. This study pioneers the investigation of nomophobia in Afghanistan using the Nomophobia Questionnaire (NMP-Q), addressing a crucial gap in the field. We collected statistical data from 754 undergraduate medical students, comprising men (56.50 %) and women (43.50 %), and analyzed the dimensions of nomophobia. While results revealed that all but two participants were nomophobic, they identified three significant dimensions affecting the level of nomophobia among participants: (a) (...) gender, (b) age, and (c) marital status. The study's contributions are precious, given the peculiarity of Afghan political turmoil, security, and human rights issues, especially for women. For example, the study's data collection was abruptly halted in December 2022 due to the Taliban regime's decision to make it illegal for women to enroll in universities as students. Therefore, while examining the characteristics of nomophobia across societies is imperative, it is also vital to investigate what is true of one society, Afghanistan, at one point in time and space. The study concludes by emphasizing the need to broaden participants' scope in future studies to better understand the prevalence of nomophobia across broader societal contexts and forces. (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...) Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (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)

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)

Abstract—Generator set (genset) is a backup power supply which is used when the PLN supply is off. With such an important function, the generator set maintenance must be taken care of for long life durability. Monitoring activity is usually conducted on a regular basis, but still run manually by relying on operators who go directly to the plant. This research goes over the making of HMI remote control system for generator set in order to produce effective and continuous reporting. HMI (...) is designed by Microsoft Visual Studio 2012 software with C # programming language. The data communication used is serial asynchronous wireless communication using 3DR Telemetry 433MHz. The prototype generator set uses an Atmega16 microcontroller which is programmed by CodeVision AVR 2.05.3. Daily data storage and reports use Microsoft Excel. Based on the tests performed, it can be concluded that the HMI system works well. The HMI monitoring system can accurately monitor the plant on fuel percentage and data difference of 1 celcius degree at temperature. The alarm test works well. The farthest test resulted was 84.6 meters. In testing data storage and daily reports all the required information can be stored properly. (shrink)

Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (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)

This article goes behind stereotypes of Muslim veiling to ask after the representational structure underlying these images. I examine the public debate leading to the 2004 French law banning conspicuous religious signs in schools and French colonial attitudes to veiling in Algeria, in conjunction with discourses on the veil that have arisen in other western contexts. My argument is that western perceptions and representations of veiled Muslim women are not simply about Muslim women themselves. Rather than representing Muslim women, these (...) images fulfill a different function: they provide the negative mirror in which western constructions of identity and gender can be positively reflected. It is by means of the projection of gender oppression onto Islam, and its naturalization to the bodies of veiled women, that such mirroring takes place. This constitutes, I argue, a form of racialization. Drawing on the work of Fanon, Merleau-Ponty and Alcoff, I offer a phenomenological analysis of this racializing vision. What is at stake is a form of cultural racism that functions in the guise of anti-sexist and feminist liberatory discourse, at once posing a dilemma to feminists and concealing its racializing logic. (shrink)

This paper aims to assess knowledge management maturity at HEI to determine the most effecting variables on knowledge management that enhance the total performance of the organization. This study was applied on Al-Azhar University in Gaza strip, Palestine. This paper depends on Asian productivity organization model that used to assess KM maturity. Second dimension assess high performance was developed by the authors. The controlled sample was (364). Several statistical tools were used for data analysis and hypotheses testing, including reliability Correlation (...) using Cronbach’s alpha, “ANOVA”, Simple Linear Regression and Step Wise Regression. The overall findings of the current study suggest that KMM is suitable for measuring and lead to enhance high performance. KMM assessment shows that the university maturity level is in level three. Findings also support the main hypothesis and it is subhypotheses. The most important factors effecting high performance are: Processes, KM leadership, People, KM Outcomes, Knowledge Process. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first study at HEI in Palestine explores the status of KMM using the Asian productivity model. (shrink)

What does Husserlian phenomenology have to offer feminist theory? More specifically, can we find resources within Husserl’s account of the living body ( Leib ) for the critical feminist project of rethinking embodiment beyond the dichotomies not only of mind/body but also of subject/object and activity/passivity? This essay begins by explicating the reasons for feminist hesitation with respect to Husserlian phenomenology. I then explore the resources that Husserl’s phenomenology of touch and his account of sensings hold for feminist theory. My (...) reading of Husserl proceeds by means of a comparison between his description of touch in Ideas II and Merleau-Ponty’s early appropriation of this account in the Phenomenology of Perception, as well as through an unlikely rapprochement between Husserl and Irigaray on the question of touch. Moreover, by revisiting the limitations in Husserl’s approach to the body—limitations of which any feminist appropriation must remain cognizant—I attempt to take Husserl’s phenomenology of touch beyond its initial methodologically solipsistic frame and to ask whether and how it can contribute to thinking gendered and racialized bodies. The phenomenology of touch, I argue, can allow us to understand the interplay between subjective, felt embodiment and social-historical context. In opening up Husserl’s account of touch to other dimensions—intersubjective and affective—sociality is revealed as residing within, and structuring of, touch. Such touch can allow us to think embodiment anew. (shrink)

Abstract: The sinking of the RMS Titanic in 1912 remains a poignant historical event that continues to captivate our collective imagination. In this research paper, we delve into the realm of data-driven analysis by applying Artificial Neural Networks (ANNs) to predict the chances of survival for passengers aboard the Titanic. Our study leverages a comprehensive dataset encompassing passenger information, demographics, and cabin class, providing a unique opportunity to explore the complex interplay of factors influencing survival outcomes. Our ANN-based predictive model (...) achieved an accuracy rate of 78%, shedding light on the underlying patterns within the data. However, this paper underscores the multifaceted nature of survival prediction and acknowledges several challenges. These include missing data imputation, feature engineering, and the inherent noise within historical datasets. We further discuss the importance of model evaluation metrics, showcasing not only accuracy but also precision, recall, and F1-score as essential indicators of predictive performance. The research paper meticulously outlines the architecture of the ANN model, emphasizing the key hyperparameters, activation functions, and regularization techniques employed in model development. Additionally, we address ethical considerations related to data handling and potential biases within the dataset. While our achieved accuracy is a notable achievement, this study emphasizes the importance of interpreting the results with due caution. It underscores the need for a holistic perspective that considers the practical implications of false positives and false negatives, especially in the context of a disaster scenario. In conclusion, this research contributes to our understanding of survival prediction in historical events like the Titanic disaster using modern machine learning techniques. It calls for further exploration and refinement of predictive models, with a focus on enhancing the interpretability and generalizability of such models to real-world applications. (shrink)

This paper asks how perception becomes racializing and seeks the means for its critical interruption. My aim is not only to understand the recalcitrant and limitative temporal structure of racializing habits of seeing, but also to uncover the possibilities within perception for a critical awareness and destabilization of this structure. Reading Henri Bergson and Maurice Merleau-Ponty in dialogue with Frantz Fanon, Iris Marion Young and race-critical feminism, I locate in hesitation the phenomenological moment where habits of seeing can be internally (...) fractured. Hesitation, I claim, makes visible the exclusionary logic of racializing and objectifying perception, countering its affective closure and opening it to critical transformation. (shrink)

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...) layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

Abstract: The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, necessitating accurate and timely forecasting of cases for effective mitigation strategies. In this research paper, we present a novel approach to predict COVID-19 cases using Artificial Neural Networks (ANNs), harnessing the power of machine learning for epidemiological forecasting. Our ANNs-based forecasting model has demonstrated remarkable efficacy, achieving an impressive accuracy rate of 97.87%. This achievement underscores the potential of ANNs in providing precise and data-driven insights into the dynamics (...) of the pandemic. However, this paper underscores the critical importance of a comprehensive evaluation beyond accuracy, including metrics such as sensitivity, specificity, and the area under the ROC curve (AUC-ROC), to assess the model's performance robustness. The research paper offers detailed insights into the architecture of the ANN model, encompassing critical hyperparameters, data preprocessing techniques, and regularization strategies employed to optimize model accuracy. Ethical considerations surrounding data privacy and potential biases within the COVID-19 dataset are also addressed. While the achieved accuracy is a significant milestone, this study underscores the dynamic and evolving nature of the pandemic, necessitating continuous model refinement and validation. Furthermore, it emphasizes the importance of considering false positives and false negatives in the context of public health decision-making. In conclusion, this research contributes to the arsenal of tools available for pandemic management by showcasing the potential of ANNs in COVID-19 case forecasting. It encourages ongoing exploration and adaptation of predictive models to enhance their applicability in real-world public health scenarios, ultimately contributing to more effective pandemic control and response efforts. (shrink)

Through the philosophies of Bergson and Deleuze, my paper explores a different theory of time. I reconstitute Deleuze’s paradoxes of the past in Difference and Repetition and Bergsonism to reveal a theory of time in which the relation between past and present is one of coexistence rather than succession. The theory of memory implied here is a non-representational one. To elaborate this theory, I ask: what is the role of the “virtual image” in Bergson’s Matter and Memory? Far from representing (...) the simple afterimage of a present perception, the “virtual image” carries multiple senses. Contracting the immediate past for the present, or expanding virtually to hold the whole of memory (and even the whole of the universe), the virtual image can form a bridge between the present and the non-representational past. This non-representational account of memory sheds light not only on the structure of time for Bergson, but also on his concepts of pure memory and virtuality. The rereading of memory also opens the way for Bergsonian intuition to play an intersubjective role; intuition becomes a means for navigating the resonances and dissonances that can be felt between different rhythms of becoming or planes of memory, which constitute different subjects. (shrink)

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)

If an asymmetry in time does not arise from the fundamental dynamical laws of physics, it may be found in special boundary conditions. The argument normally goes that since thermodynamic entropy in the past is lower than in the future according to the Second Law of Thermodynamics, then tracing this back to the time around the Big Bang means the universe must have started off in a state of very low thermodynamic entropy: the Thermodynamic Past Hypothesis. In this paper, we (...) consider another boundary condition that plays a similar role, but for the decoherent arrow of time, i.e. the subsystems of the universe are more mixed in the future than in the past. According to what we call the Entanglement Past Hypothesis, the initial quantum state of the universe had very low entanglement entropy. We clarify the content of the Entanglement Past Hypothesis, compare it with the Thermodynamic Past Hypothesis, and identify some challenges and open questions for future research. (shrink)

Home management and controlling have seen a great introduction to network that enabled digital technology, especially in recent decades. For the purpose of home automation, this technique offers an exciting capability to enhance the connectivity of equipment within the home. Also, with the rapid expansion of the Internet, there are potentials that added to the remote control and monitoring of such network-enabled devices. In this paper, we had been designed and implemented a fully manageable and secure smart home automation system (...) based on a cloud computing system with an ESP Arduino system. The security of home had been improved by adding a complete camera system with a GSM communication technique to connect the Arduino output data to an external specified number if there is no internet provider. We used three sensors for temperature, gas, and motion measurements. The ESP8226 Wi-Fi device programmed the sensors to maintain the sensors measurements and transfer them to the cloud server database which is programmed to the web server via Appatshy and Mysql formats. The system implemented with high time response so that all readings updated and appeared spontaneously. The designed system should be effective, a secure, and rapid response real-time smart home system should be achieved. (shrink)

In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to (...) the behavior of the student. An evaluation of the intelligent tutoring system has revealed reasonably acceptable results in terms of its usability and learning abilities are concerned. (shrink)

Lately in the past couple of years, there are an increasing in the normal rate of playing computer games or video games compared to the E-learning content that are introduced for the safety of our children, and the impact of the video game addictiveness that ranges from (Musculoskeletal issues, Vision problems and Obesity). Furthermore, this paper introduce an intelligent tutoring system for both parent and their children for enhancement the experience of gaming and tell us about the health problems and (...) how we can solve them, with an easy user interface that way can our children be happy and excited about the information and their health. (shrink)

Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary classification, identifying the (...) presence or absence of heart disease. The neural network architecture includes an input layer, a hidden layer, and an output layer, designed to capture intricate relationships within the dataset. Rigorous training and validation processes, accompanied by data preprocessing steps, ensure the model's robustness and generalization capabilities. The results demonstrate promising performance, with an accuracy of 92% and an average error of 0.062. Moreover, an analysis of feature importance highlights key predictors, including "oldpeak," "thalach," "trestbps," "ca," "thal," "cp," "chol," "sex," "restecg," "age," "slope," "fbs," and "exang." This research contributes to the field of predictive healthcare by leveraging neural networks to enhance heart disease prediction. The developed model offers the potential for early identification of individuals at risk, facilitating timely medical interventions and ultimately improving public health. Further exploration of machine learning techniques in healthcare promises to reshape disease prediction and prevention strategies. (shrink)