The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer science (...) curriculum at Al-Azhar University, Gaza. The results showed a positive impact on the evaluators. (shrink)

The study aimed to identify the knowledge management processes and their role in achieving competitive advantage at Al-Quds Open University. The study was based on the descriptive analytical method, and the study population consists of academic and administrative staff in each of the branches of Al-Quds Open University in (Tulkarm, Nablus and Jenin). The researchers selected a sample of the study population by the intentional non-probability method, the size of (70) employees. A questionnaire was prepared and supervised by a number (...) of specialists in order to obtain the results of the study. The study concluded that there is a positive direct relationship, that is, the higher the degree of application of knowledge management processes, the greater the degree of competitive advantage. Knowledge Technology came first with a score of 80.02% on all items. Competitive advantage came second with 81.74%. In the third place came "knowledge generation" where the total score on all paragraphs in this area (78.24%). In the fourth place, "knowledge transfer" (77.21%). "Developing and storing knowledge" came in fifth place (77.13%). "Acquisition of knowledge" came in sixth place (76.45%). Knowledge Organization ranked seventh (74.26%). The study recommended that the university should enable the employees to benefit from the experiences and expertise available to help generate knowledge. The University encourages the creation of knowledge through the system of incentives and open the way for creators to apply their creations and spread and invest in excellence and creativity. The university should design work performance levels based on the integration of knowledge and organize it according to policies that support freedom of research. The need for Palestinian universities to adopt a knowledge management approach. The need to adopt a system of incentives that rewards cognitive efforts, and give workers enough freedom to enable them to apply their knowledge. (shrink)

Al-Makhtoobah (The fiancé), a social-realistic drama that can be claimed as the first drama to make a mark in Indian Arabic literature published in 2009 by Syed Ehtisham Ahmad Nadvi, depicts generally a vivid picture of Indian Muslim society and some unwelcomed marital issues especially, in the form of dialogue. Al-Makhtoobah, is a tragedy in manners turning round the pertinacious attempts of a young girl to pass her life with her drunkard irresponsible husband. Before marriage, her rich parents were (...) in a promise to marry her with a meritorious madrassa student, while a fraudulent became successful to make their promise fail showing fallaciously superiority of a boy who becomes her husband later. Henceforth, the fraudulent occupies wealth of the girl and her father and finally this incident makes her father mysterious, mad and he dies. The writer Syed Ehtisham Ahmad Nadvi is a famous Indian Arabic literary critic, litterateur; an alumnus of Aligarh Muslim University, Jamia Millia Islamia and the great Islamic learning center namely Darul Uloom Nadwatul Ulama, Lucknow. He is also one of the shining figures in the history of Indian Arabic literature who wrote a good number of books and articles in Arabic as well as Urdu and retired as a professor of Arabic in the University of Calicut, Kerala in the year 2000 A.D. The present paper aims to study the themes of Al-Makhtoobah and styles that have followed the writer in making of the drama an artistic one. Further, it attempts to present writer’s academic, administrative and artistic excellence. (shrink)

BĪRŪNĪ, ABŪ RAYḤĀN MOḤAMMAD b. Aḥmad (362/973- after 442/1050), scholar and polymath of the period of the late Samanids and early Ghaznavids and one of the two greatest intellectual figures of his time in the eastern lands of the Muslim world, the other being Ebn Sīnā.

In this study, after a short introductory information on the etymology, origin, and transition of botanical knowledge in Medieval Islamic Civilisation, we made a comparison of illustrated botanical works in Maghreb and Masriq through two illustrated books. We studied on randomly selected illustrations from Kitab al- Hashaish at-Tibb li-Diskuridus al-Aynzarbi translated by Istefan ibn Basil & Hunayn ibn Ishaq from Dioscorides’ Materia Medica, and Kitab al-Adwiyat al-Mufradat of Abu Ja’far Ahmad al-Ghafiqi, the Andalusian physician, pharmacist, and herbalist. We made (...) comparisons on the illustrations of nine plants and one lichen, chosen from Codex Osler of al-Ghafiqi, and Codices Ayasofya of Istefan-Hunayn, with real photos of plants and lichen, via the methods used currently in the science-art of botanical illustration. With this «botanical illustrative method», we conclude that in the same century, the work of al-Ghafiqi has been copied in a more accurate way than that of Istefan-Hunayn translation. -/- تخصص هذه الدراسة - بعد تقديم معلومات تمهيدية موجزة عن علم أصل الكلمات، وأصول وتطور المعرفة النباتية في الحضارة الإسلامية في العصور الوسطى - للتحليل المقارن للمؤلفات في علم النبات المصور في المغرب والمشرق، من خلال كتابين مصورين. و لهذه الغاية، قمنا بتحليل سلسلة من الرسوم، إختيرت بشكل تلقائي، أُخذت من كتاب النباتات الطبية لصاحبه دِيُسوفُورِيدس، و من ترجمة ابن استيفان ابن باسل و حنين ابن إسحاق لدراسة المادة الطبية لديسوفوريدس، و من كتاب الأدوية البسيطة لأبو جعفر أحمد الغافقي، و هو طبيب و صيدلي و عشاب أندلسي. لقد أجرينا مقارنات لرسوم تسعة نباتات و أشنة وقع الإختيار عليها من كتاب أوسلر للغافقي و من كتب أياصوفيا لإستيفان و حنين، مع صور حقيقية لعينات من هذه الأنواع، باستخدام الطرق المطبقة في وقتنا الراهن في فن وعلم الرسوم النباتية. و بعد تطبيق هذا المنهج التصويري النباتي، نستطيع أن نخلص إلى أنه، و على الرغم من إنتاجها في نفس القرن، فإن نسخ رسوم الغافقي النباتية كانت أكثر دقة من تلك الموجودة في ترجمة استيفان - حنين. الكلمات المفتاحية دِيُسوفُورِيدس، الغافقي، تاريخ علم النبات، الأندلس -/- Este estudio –tras una breve información introductoria sobre etimología, orígenes y evolución del conocimiento botánico en la civilización islámica medieval– está dedicado a un análisis comparativo de los tratados botánicos ilustrados en el Magreb y en el Máshreq, a través de dos libros ilustrados. Para ello, hemos analizado una serie de ilustraciones, elegidas al azar, extraídas del Libro de plantas medicinales de Dioscórides por Anazarba, traducción de Istefan ibn Basil y Hunayn ibn Ishaq del tratado De materia medica de Dioscórides, y del Libro de los medicamentos simples de Abu Ya'far Ahmad al-Gafiqi, médico, farmacéutico y herbolario andalusí. Hemos llevado a cabo comparaciones de las ilustraciones de nueve plantas y un liquen, escogidos del códice Osler de al-Gafiqi y de los códices Ayasofya de Istefan-Hunayn, con fotografías reales de especímenes de dichas especies, acudiendo a los métodos aplicados actualmente en el arte y ciencia de la ilustración botánica. Tras este «método ilustrativo botánico», podemos concluir que, aunque llevadas a cabo en el mismo siglo, las copias de ilustraciones de al-Gafiqi han resultado más precisas que las de la traducción de Istefan-Hunayn. (shrink)

The passionate and staunch defence of logic of the controversial thinker Ibn Ḥazm, Abū Muḥammad ʿAlī b. Aḥmad b. Saʿīd of Córdoba (384-456/994-1064), had lasting consequences in the Islamic world. Indeed, his book Facilitating the Understanding of the Rules of Logic and Introduction Thereto, with Common Expressions and Juristic Examples (Kitāb al-Taqrīb li-ḥadd al-manṭiq wa-l-mudkhal ilayhi bi-l-alfāẓ al-ʿāmmiyya wa-l-amthila al-fiqhiyya), composed in 1025-1029, was well known and discussed during and after his time; and it paved the way for the studies (...) of his compatriots Ibn Bājjah (d. 1138), Ibn Ṭufayl (1185), and Ibn Rushd (1198), who each gave demonstrative reasoning a privileged place within the methods of attaining knowledge. Unfortunately, as too often in the history of science, Ibn Ḥazm’s innovative perspectives and contributions in logic have been overlooked or considered with an attitude of contempt. On the one hand, his work has been seen, at best, as promulgating the benefits of studying Aristotle’s logic, so that his contribution is assessed as more didactical than conceptual. And on the other hand, those who do examine his innovations often consider them to be mistaken. As indicated by Chejne (1984, p. 2) contempt towards the logical work of Ibn Ḥazm was also present in its reception by the Eastern philosophers who accused him of deviating from Aristotelian logic and of dabbling in things beyond his capability. However, a reassessment of his work on logic has since begun, by delving into the ways the thinker of Córdoba studied the links between deontic and modal qualification of propositions. In this context Lameer’s (2013) paper on the logical sources of Ibn Ḥazm is worth mentioning; the author (p. 417, footnote 1) observes that, although, strictly speaking, it was al-Fārābī who first drew the parallelism between deontic and modal concepts, it was Ibn Ḥazm who developed it and worked it out in a more precise manner. A primary aim of this paper is to help fill some of these gaps by stressing the role of the work of Ibn Ḥazm in developing a notion of deontic necessity deeply rooted in legal normativity, and in explicitly discussing the transference between deontic and modal concepts. According to our view; the basic units of Islamic deontic logic are what we might call, indulging in terminological anachronism, heteronomous imperatives. As it turns out, the heteronomy of imperatives within Islamic legal systems contrasts with those of the purely moral realm, which seem to be closer to an autonomous conception of moral law. There it concurs again with Leibniz’s proposal to define obligatory as “what is necessary for a good person to do”. In the present paper, we will focus on the heteronomous imperatives of legal systems rather than on the imperatives of the purely moral realm. In this context, the work of Ibn Ḥazm extends the parallelism between the necessity of events and that of human actions stressed by his predecessors. According to our understanding, Ibn Ḥazm’s parallelism can be rendered explicit formally by means of a conditional (or hypothetical) structure shared by both deontic and modal propositions. Moreover, this structure makes apparent that this parallelism displays an underlying system of “degrees”. Indeed, while in the domain of events, given some conditions, it makes sense to distinguish between an event that is more likely to happen than another. Ibn Ḥazm speaks of near and distant possibility (such as the higher degree of likelihood of rain, given the condensation of clouds in December, and its lower degree, when the condensation occurs in summer); and, in the domain of actions, the Islamic notion of weighting actions determines degrees of virtue (or of legal and moral value). So whereas the degree of virtue of performing a forbidden act as determined by the distribution of sanction and reward is 0, we obtain the same value by pondering the likelihood of an impossible event to take place. Furthermore, as discussed in section II.3.2, the system of values at work in the parallelism can be seen as opening the way to a more direct correspondence. Thus, while in the realm of nature, likelihood of occurrence of an event is dependent upon the conditions specific to the occurrence of that event; while, in the realm of jurisprudence, likelihood of performing an action is dependent upon the distribution of reward and sanction specific to that action (being that, given the choice to perform or not perform a given action, those that will be rewarded are more likely to be performed than those that are not). According to this perspective, the point of the parallelism is that both deontic and modal qualifications measure the degree of an action or event to become actual; that is – indulging once more in anachronism (but this time from the Leibnizian background) – the degree measures how feasible (facile) an action or event may be. This suggests that Ibn Ḥazm’s perspectives already herald the links to probability and possibility explored by Leibniz six centuries later – see for example Leibniz’s (1671, A VI, I, p. 424-26) use of probability in the context of conditional right. Nevertheless, it also shows a crucial difference to the approach developed in the Elementa Jura Naturalis: whereas Leibniz’s studies seek to define what is to be just or virtuous, the logical system of deontic imperatives within Islamic jurisprudence presupposes that what is to be virtuous has already been settled. Determining what is to be virtuous is not achieved by logical reasoning within the system of legal jurisprudence, but by delving into the higher objectives of the Sharīʿa. While developing our point, we will delve into the logical structure of the heteronomous imperatives. This distinguishes our contribution from the existing literature, such as the papers of Chejne (1984), Lameer (2014), and Guerrero (1997, 2010, 2014), which do not provide a logical analysis of the deontic concepts put into work by Ibn Ḥazm. The true antecedent to the present paper is the work of Farid Zidani (2007, 2015), who, so far as we know, was the first to undertake such a task. Some of our own developments and general epistemological thoughts go beyond Ibn Ḥazm’s framework and motivations; mainly those contained in sections II.3.2 and IV. However, according to our view, these reflections suggest that Ibn Ḥazm’s approach has the substance for a broader and deeper exploration of the logic of norms. The paper is structured as follows:I.Ibn Ḥazm’s Logic of Heteronomous Imperatives. After presenting some extracts of the relevant text, we proceed by providing a formal reconstruction of the five forms of deontic modalities. II. A Landmark in the History of the Logical Analysis of Norms. Duties and Modalities. In this section, we study the transferences from deontic to modal necessity and possibility. We briefly compare the deontic system of Islamic Jurisprudence with that of Leibniz.III. Leibniz and Hypothetical Imperatives in Law.IV. Beyond Ibn Ḥazm: Conclusions and the Work Ahead. We will conclude the paper by discussing briefly some conceptual points that distinguish the logic of heteronomous imperatives from contemporary deontic logic. Our final words will discuss deontic-modal parallelism in the context of Ibn Ḥazm’s rejection of reasoning by conjecture and what we call “the internalization of nature.”. (shrink)

This article presents an analysis of a short treatise entitled Ādāb al-Baḥth wa al-Munāẓarah (The art of discussion and disputation) by the celebrated Ottoman scholar Abu al-Khayr ‘Iṣām al-Dīn Aḥmad ibn Muṣṭafā ibn Khalīl Ṭāshkubrīzādah or Ṭaşköprüzade (d. 968 AH/ 1561 CE). An overview of the nomenclature and a brief introduction about the author and his work will be presented along with an annotated English translation of the text in order to highlight Ṭaşköprüzade’s contribution to this nearly forgotten discipline.

The weaponizing of scientific expertise to oppose regulation has been extensively studied. However, the relevant studies, belonging to the emerging discipline of agnotology, remain focused on the analysis of empirical corruption: of misinformation, doubt mongering, and other practices that cynically deploy expertise to render audiences ignorant of empirical facts. This paper explores the wrongful deployment of expertise beyond empirical corruption. To do so, I develop a broader framework of morally subversive expertise, building on recent work in political philosophy (Howard, 2016). (...) Expertise is subversive if it sets up its audience to fail morally, either intentionally or negligently. I distinguish three modes of subversive expertise: empirical subversion (the focus of agnotology), normative subversion and motivational subversion. Drawing on these distinctions, I offer a revisionary account of the Trump Administration’s regulatory science as a case study. I show that the Trump Administration’s use of expertise to dismantle climate regulation, contra the standard charge, cannot be explained using the resources of agnotology alone: the Administration produced highly reliable climate assessments, detailing the risks of climate change, candidly admitting the harms of its proposed policies, and still successfully deployed these findings to justify massive climate deregulation. The lesson of the analysis is that dismissing the expertise that underpins climate deregulation as empirically corrupt ‘anti-science’ both obscures its actual role in the politics of climate change and understates its wrongfulness: it misses the breadth of the assault on moral agency that sustains climate injustice. (shrink)

This paper offers preliminary notes on Buddhism in modern Muslim exegesis with an emphasis on Tafsir al-Qasimi by Muhammad Jamal al-Din al-Qasimi (1866–1914) and al-Mizan fi Tafsir al-Qurʾan by Muhammad Husayn Tabatabaʾi (1892-1981). The research adopts a qualitative design using content analysis to collect the data. In this paper two main questions regarding both exegetes will be explored. The first question concerns the sources of both scholars for their information about Buddhism by including the discussion in their exegesis. The second (...) question concerns the methodology they used to discuss Buddhism in the Qurʾan since this has not been done by any classical exegetes nor among the most modern exegetes. Studies have found that the approach of the two exegetes is different from both the classical and modern exegetes because their work also contains resources from the fields of comparative religion and the history of religion to make their work relevant in the current context and reliable to be referred to by any parties. The author concludes that both al-Qasimi and Tabatabaʾi used analysis (taḥlil) in discussing verses related to the position of the Buddha. (shrink)

The setting of evidential standards is a core practice of scientific assessment for policy. Persuaded by considerations of inductive risk, philosophers generally agree that the justification of evidential standards must appeal to non-epistemic values but debate whether the balance of non-epistemic reasons favours varying evidential standards versus maintaining fixed high evidential standards in assessment, as both sets of standards promote different and important political virtues of advisory institutions. In this paper, I adjudicate the evidential standards debate by developing a novel (...) argument from justice, drawing on the IPCC’s assessment of climate impacts as a case study. I argue that in assessments marked by background evidential inequality, maintaining fixed high evidential standards results in an unequal distribution of ‘epistemic power’ among stakeholders, producing a ‘powerful assessment’ for the data-rich (a high rate of findings) and a ‘weak assessment’ for the data-poor (a low rate of findings). Where such inequalities of epistemic power disadvantage those in data-poor regions with respect to fundamental interests, such as basic human rights, we have decisive reasons of justice to vary evidential standards. (shrink)

We focus on a sui generis grounding move in Hindi-Urdu dialogue, namely 'voh hi na'. 'Voh' is third person pronoun and can function as a propositional anaphor in dialogue. 'Hi' and 'na' are two discourse particles in Hindi-Urdu. A dataset consisting of minimal pairs of dialogues is presented to get a better sense of the move. Using dynamic models of discourse structure, we propose a semantics for 'voh hi na' in terms of its update effects.

Interfaith dialogue is a vital tool for promoting understanding and cooperation between different religious communities. This article presents a comparative study of the Islamic and Buddhist perspectives on interfaith dialogue. Drawing on primary sources from both religions, this study explores the theological foundations of interfaith dialogue and the practical strategies employed by Muslims and Buddhists in promoting interfaith understanding. The similarities and differences between the two religions’ approaches to interfaith dialogue are analysed, examining how their respective beliefs, practices, and histories (...) shape their attitudes towards religious diversity. The research design is qualitative using library research by emphasizing content analysis on Islam and Buddhism scripture. The results show that Islamic paradigms of interreligious dialogue is da’wah (propagation, invitation or introducing Islam) that rooted from Tawḥīd, in contrast Buddhism, promotes on liberation from human suffering which rooted Bhavana and mindfulness. The study contributes to the principle of interfaith dialogue and provides insights into the potential of interfaith relation for sustaining harmony, peace, and mutual respect in diverse societies. Studies suggest the understanding of each fundamental to encourage Muslim and Buddhists scholars to produce comprehensive interreligious dialogue, theologically and philosophically. (shrink)

Relationship-oriented questions have always been at the crossroads of ethnoreligious identity, religious freedom, religious conversion, religious prejudice, and religious pluralism throughout Muslim-Buddhist co-existence in the sixth century within the Malay Archipelago. Other faiths could be freely practised except for propagation towards Muslim communities with Islam being the religion of the federation. This study aimed to explore Muslim-Buddhist relation types and the issues underpinning the following themes: history, identity, and concerns. Content and thematic analysis as well discourse analysis were utilised as (...) the study method for data collection and evaluation. Resultantly, the Muslim-Buddhist interaction pattern in Malaysia has occurred (culturally and religiously) from the early establishment of both religious communities. This relation, which has shifted in ethnoreligious orientation at every interaction level, opens more avenues and complexities requiring holistic management. (shrink)

Atheism is an ideology that rejects the existence of God and has gained increasing prominence in societies globally, including Malaysia. Atheism significantly challenges the religious orientation of Malaysian society. Specifically, atheism challenges spiritual and ethical foundations, unity, and cultural heritage linked to religious beliefs. Understanding these challenges is vital to formulate proactive measures, education, and informed dialogue to mitigate the negative impact of atheism on Malaysian society. This study explored the effects of atheism on Malaysian religious society via library research (...) analysis. Scholarly articles, books, and reputable online resources on religious and atheism underwent content analysis, which yielded five key findings. Firstly, atheism leads to the loss of spiritual guidance and morality. Secondly, atheism potentially erodes ethical values and societal norms, and subsequently reduces social trust and cohesion. Thirdly, atheism contributes to moral relativism and ethical ambiguity, which potentially undermines established moral frameworks and social norms. Fourthly, atheism can weaken community cohesion. Lastly, atheism threatens religious institutions and practices. Additionally, the absence of the role of God might undermine the cultural and heritage importance of religion. This study presented critical insights on the negative societal effects of atheism. By exploring the potential consequences of atheism on social cohesion, moral foundations, and existential perspectives, this study highlighted the need for religious education as part of atheism prevention and rehabilitation. (shrink)

Since the emergence of the global challenges of COVID-19 pandemic, its impact could be widely viewed in various human society aspects, such as education, business trading and also social interaction limit. Apart from many discussions on the pandemic from a wide range of such perspectives, scholarly attention is still rarely mainly in trying to elaborate the critical overview from an Islamic perspective following theological, historical, and sociological points of view. In this paper, the critical elaboration of the pandemic has been (...) widely discussed by analysing the contents of sacred scriptures and responses from an Islamic point of view. The literature was critically conducted from religious sources such as the Qur’an and Hadith, and also related contemporary works. The finding reveals that the pandemic has been given full attention as stated in the Qur’an and narrated in Hadith by taking a lesson from pandemics and strategically battling the pandemic. The following attentions were addressed in order to strengthen the Muslim community and society in order to support the health protocols arranged by the local and international health organizations. The value is that religion’s clear comprehension could give continued support to encourage the Muslim community especially and general society at large in the attempts to battle the spreading pandemic. -/- . (shrink)

الملخص قاعدة "الأصل" و "استصحاب الحال" قراءة في منهج النحاة من الاستعمال إلى التعليل إلى القاعدة ملخص تعدّ فكرة "الأصل" (=علة الأصل) منهجـًا اتّبعه النّحاة لتقديم تفسيرات منطقية في بعض مسائل الكلم في العربية، إذ أخذ النحاة إجراء منهج تحليليّ يعتمد افتراض أو استحضار مكوّن بنيوي على أنّه "أصل الاستعمال" غاية إيجاد مقاربات منطقية تربط الاستعمال المنجز بالقاعدة، فـ"الأصل"–وفق النحاة- إمّا "نمطٌ لغويٌّ مهجورٌ غير أنّه اُستعمل في طور من أطوار العربية"، أو "نمط لغوي افتراضي" يجريه النحاة على معيارية الاستعمال (...) بحيث يصحّ عدّه منجزًا لغويًا تقابليًّا لاستعمالات تجري والقاعدة؛ وقد أجرى سيبيويه منهج قياسٍ افتراضي وَفْقَ عبارته:"وهذا تمثيلٌ ولم يُتكلّم به" ليجعل "المكوّن" الافتراضي شاهدًا نحويًّا يمثّل "أصل الاستعمال" ويصحّ الرجوع إليه في اشتقاق القاعدة والوصول إلى التعليل. يدرس البحث علاقة الوظيفة التعليلية بين "الأصل" و"استصحاب الحال" أجْل الوقوف على منهج النحاة في إطلاق الأحكام القواعدية في المسائل التي اعتمدوا فيها فكرة التعليل بـ"الأصل"، وهل كانت أحكامهم في تلك المسائل مقنعة أو غير مقنعة؟ ويسعى البحث إلى بيان العلاقة بين فكرة "الأصل" و"أدلة النحو" (الأصول) من وجهة تسعى إلى بيان منطق التعليل بـ"علة الأصل". The original rule of the historical usage of the primary sentence and the semi-original rules of the grammatical thinking A reading in the grammarian's approach, from usage to the reasoning to the rules Abstract The original rule of the historical usage of the primary sentence is considered one of the methods that followed by the grammarians to provide a logical explanation sequence for some of the language issues. Most of the grammarians assume that there is a new sentence style that referred to an old usage in some of the sentence’s structure. According to the grammarians that these old structures are being the reference rules and evidences to explain the structure of the new structure style. Also based on the grammarian approach the old structure is divided into two parts: the first, sentence structure that have been actually used in the language history. The second is an imagination assumption where such kind of structures have not been used before and therefore can be considered as a hypothetical lingual style only, Sebaweeh has conducted a standard approach according to his phrase "This is a an example only, it has not been spoken". It is important to know that the grammarians have followed an analytical approach to make a center point between the original rule and the semi-original rule so as to provide a logical explanation of these structure styles. This research seeks to study the relation between the original rule and semi-original rules of the grammatical thinking. In addition, this search seeks to study the relation between the original rule and the Grammatical evidence (=OSOL) Key Words: The original rule - the semi-original rules -/- الكلمات المفتاحية أصول النحو، قاعدة الأصل، استصحاب الحال. (shrink)

Recent scoreboard models of conversation, in addition to modeling update effects of assertions and questions, also make sense of how one may react to such discourse moves. An account of acceptance and rejection is captured by Farkas & Bruce (2010), while Bledin & Rawlins (2020) have recently made sense of how one may resist an assertion too. For rejection and resistance of assertions, truth comes out to be a crucial notion. Between X and Y, if Y doesn't believe p to (...) be true, then Y might resist or reject X's assertion of p. For questions however, truth cannot serve this purpose. A complete model of discourse would seek to offer explanation of resisting questions. Much like Bledin & Rawlins, one can non-exhaustively enumerate a class of resistance moves. In many ways, one can resist a request to make a particular question QUD. In this paper, we raise following question: which notion can serve to explain question uptake in discourse? In our paper, we show how the expected utility value (EUV) of questions can serve this role for questions. EUV is used by van Rooij (2003) to give an account of interpretation of questions; we think it can serve our intended purposes too. To demonstrate plausibility, we build a workable formalism. (shrink)

Infants and children are suffering from a lots of nausea and vomiting problems. Doctors, usually face various difficulties dealing with these problems because of their similarities. In this paper, we present an expert system to help users in getting the correct diagnosis of problems of nausea and vomiting in infants and children (Gastro-esophageal reflux, Gastroenteritis, Systemic Infection, Bowel obstruction, Tumors, A bleeding disease, tonsillitis, and Hepatitis pharynx). Furthermore, this expert system provide information about the disease and how to deal with (...) it. SL5 Object expert system language was used to design and implement this expert system. (shrink)

Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our investigation (...) identifies the most influential features in breast cancer diagnosis, shedding light on the key determinants of malignancy. Notably, we find that factors such as fractal dimension_se, symmetry worst, compactness_worst, symmetry_se, and smoothness_se play pivotal roles in distinguishing between benign and malignant cases. This research contributes to the ongoing efforts to enhance breast cancer diagnosis, providing valuable insights into feature importance and showcasing the potential of neural networks in medical applications. Our findings have implications for improving early detection and treatment strategies, ultimately contributing to improved patient outcomes. (shrink)

ملخـــص -/- بشارات، أحمد محمد. التفسير الدلالي في إعراب المضارع-الجزم أنموذجًا. رسالة ماجستير في جامعة اليرموك. 2007م. (المشرف: أ.د. فيصل صفا). هدف البحث إلى إعطاء تفسيرات دلالية لظهور إعراب الجزم في تركيبات الجملة الفعلية، وحاول تعليل ارتباط الجزم بفكرة التعليق الشرطي، وتعليل عدم الجزم في بعض التركيبات الشرطية، وحاول أن يقدم تفسيرًا دلاليًا لاختلاف آخر المضارع، وتعليلاً لاختلاف آخر المضارع المنفي (لا/ لن/ لم/ يفعل) مختلف الصورة الإعرابية بالرفع مرة والنصب أخرى والجزم ثالثة. وسعى البحث في ظاهرة الجزم إلى الكشف (...) عن حالة الإعراب في المضارع أهي بالمشابهة للأسماء أم بالأصالة، والكشف عن فكرة الإعراب في المضارع أيقدم إعراب المضارع معنىً نحويًا أم أنه حالة من الإعراب تخرج عن فكرة النحاة القائلة بأن الإعراب فرع المعنى. وقد جاء البحث في مقدمة وتمهيد وبابين وخاتمة، عرضت في المقدمة أهمية البحث في ظاهرة الجزم، وذكرت الدراسات السابقة لهذا البحث، مبينًا أهم نتائجها، ووضحت في المقدمة خطة البحث ومنهجيته. أما الباب الأول فقد جاء في فصلين: الأول عنوانه" الجزم في الدرس النحوي القديم" عرضت فيه لمصطلح الجزم لغةً واصطلاحًا غاية ربط مفهوم المصطلح بفكرة الدلالة في الإنجاز اللغوي، وبحثت في مصطلحات الإعراب الأخرى لغةً واصطلاحًا، وعرضت لفكرة إعراب المضارع علةً ودلالةً، والفصل الثاني وعنوانه" علة إعراب المضارع ودلالته في الدرس النحوي الحديث" بحثت فيه علة تشكل علامة الإعراب أهي بالمعنى أو بالعامل؟ وعرضت فيه لفكرة المحدثين في بحثهم معنى الإعراب في المضارع. أما الباب الثاني، فقد جاء في فصلين: الأول عنوانه" التفسير الدلالي لظاهرة الجزم، وعرضت فيه علة اختلاف آخر المضارع محاولاً ربط الشكل الإعرابي بالدلالة النحوية، وعرضت فيه لمعاني الفعل(الإسناد والزمن والحدث) محاولا ربط علامة آخر المضارع بدلالة الإسناد فيه. والفصل الثاني عنوانه" معنى الجزم في السياقات اللغوية، عرضت فيه لمعنى الجزم في التركيبات اللغوية، وعرضت فيه لفكرة الجزم في صيغ الأمر معللاً حالة الاخر في صيغ الأمر على نحو يربطها بمسألة الإعراب. وقد خضعت الدراسة لمنهج تحليليّ. وخرج البحث ببعض النتائج، نذكر منها: - إن إطلاق المصطلحات الإعرابية يرجع إلى ملحظ صوتيّ حسب، فلا يتوافق معنى المصطلح الإعرابي مع واقع الإنجاز اللغوي. - المضارع معرب بالأصالة لا بالمشابهة؛ ذلك أن المضارع المنصوب والمجزوم لا يقع موقع الأسماء، والموقعية علة في إعراب الفعل. - معاني النحو هي المعاني الوظيفية للسياق، وقول النحاة إنّ المعاني النحوية هي الفاعلية والمفعولية والإضافة قول غير دقيق؛ لأن النعت والحال والوصف والإسناد وغيرها معانٍ نحوية تعتور على السياق. - يرتبط إعراب المضارع بفكرة الإسناد في الفعل، فالرفع للإسناد الواقع، والنصب للإسناد الغائي، والجزم يدل على عدم وقوع الإسناد. -/- الكلمات المفتاحية: الجزم، دلالة الجزم، إعراب الجزم، إعراب المضارع، الإسناد، التعليق الشرطي، الجزم والتعليق الشرطي، الأدوات الجازمة. دلالة الإعراب في المضارع. (shrink)

Web page phishing is a type of phishing attack that targets websites. In a web page phishing attack, the attacker creates a fake website that looks like a legitimate website, such as a bank or credit card company website. The attacker then sends a fraudulent message to the victim, which contains a link to the fake website. When the victim clicks on the link, they are taken to the fake website and tricked into entering their personal information.Web page phishing attacks (...) are a serious threat to online security. They can be very effective, as they often look very convincing. To protect yourself from web page phishing attacks, you should be suspicious of any emails or messages that ask for your personal information. Do not click on links in emails or messages from unknown senders. If you are unsure whether a website is legitimate, do not enter your personal information. Therefore, in this study, we present a novel approach to detect whether a web page is phishing or legitimate using a neural network model. (shrink)

Publication date: 29 September 2016 Source: Author: Samy S. Abu Naser, Mazen J. Al Shobaki, Youssef M. Abu Amuna This paper aims to measure knowledge management maturity in higher education institutions to determine the impact of knowledge management on high performance. Also the study aims to compare knowledge management maturity between universities and intermediate colleges. This study was applied on five higher education institutions in Gaza strip, Palestine. Asian productivity organization model was applied to measure Knowledge Management Maturity. Second dimension (...) which assess high performance was developed by the authors. The controlled sample was. 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 shows that maturity level is in the second level. Findings also support the main hypothesis and it is sub- hypotheses. The most important factors effecting high performance are: Processes, knowledge management leadership, People, knowledge management Outcomes. Furthermore the current study is unique by the virtue of its nature, scope and way of implied investigation, as it is the first comparative study between universities and intermediate colleges in Gaza Strip that explores the status of knowledge management maturity using the Asian productivity Model. (shrink)

The aim of this paper is to evaluate the critical success factors and investigate the benefits that might be gained once implementing Electronic Customer Relationship Management at HEI from employee perspective. The study conducted at Al Quds Open University in Palestine and data collected from (300) employee through a questionnaire which consist of four variables. A number of statistical tools were intended for hypotheses testing and data analysis, including Spearman correlation coefficient for Validity, reliability correlation using Cronbach’s alpha, and Frequency (...) and Descriptive analysis. The overall findings of the current study show that all the features were important for staff and it was critical success factors, at the same time, websites were providing all the features discussed by the theory whereas staff showed their willingness to use those features if provided. It is also discovered that implementing Electronic Customer Relationship Management can cause staff retention, were provided efficiently and needed to be improved. Research limitations: The survey findings were based on QOU employee in Palestine, UAE and KSA branches not included in the study. (shrink)

It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...) was collected from Kaggle depository. It consists of 6362620 rows and 10 columns. The best classifier with unbalanced dataset was the Random Forest Classifier. The Accuracy 99.97%, precession 99.96%, Recall 99.97% and the F1-score 99.96%. However, the best classifier with balanced dataset was the Bagging Classifier. The Accuracy 99.96%, precession 99.95%, Recall 99.98% and the F1-score 99.96%. (shrink)

Abstract. Intelligent Tutoring System Builder (ITSB) is an authoring tool designed and developed to aid teachers in constructing intelligent tutoring systems in a multidisciplinary fields. The teacher is needed to create a set of pedagogical fundamentals, which, in line, are inured to automatically build up a broad tutor framework and construct an intelligent tutoring system. In this paper an explanation of the theory and the architecture of the tool is outlined. A presentation of several system components, the requirements of the (...) different components, integration of these components in ITSB tool are shown. Furthermore, implanting of requirements, cognitive principle, and common design fundamentals in the tool to ease the use of teachers. A variety of design matters, an example of building an intelligent tutoring system for teaching Java language using ITSB tool and an evaluation are presented. (shrink)

We propose a framework that makes space for both non-indexical contextualism and assessment-sensitivity. Such pluralism is motivated by considering possible variance in judgments about retraction. We conclude that the proposed pluralism, instead of problematizing, vindicates defining truth of a proposition w.r.t. a context of utterance and a context of assessment. To implement this formally, we formalize initialization of parameters by contexts. Then, a given parameter, depending on a speaker's judgment, can get initialized by either the context of utterance or the (...) context of assessment. An upshot of the proposal is that one need not exclusively espouse one of non-indexical contextualism or assessment-sensitivity about a particular class of expressions, for instance predicates of personal taste, in language; one can be pluralist in this sense. (This manuscript is part of an ongoing research project). (shrink)

Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have been proposed (...) by diverse research groups in the recent past. However, yet effective and comprehensive deep ensemble neural network-based classification model with high accuracy classification results is not available in the literature. In this thesis, we review ways and mechanisms to use deep learning techniques to research on multi-disease computer-aided detection about gastrointestinal and identify these images. We re-trained five state-of-the-art neural network architectures, VGG16, ResNet, MobileNet, Inception-v3, and Xception on the Kvasir dataset to classify eight categories that include an anatomical landmark (pylorus, z-line, cecum), a diseased state (esophagitis, ulcerative colitis, polyps), or a medical procedure (dyed lifted polyps, dyed resection margins) in the Gastrointestinal Tract. Our models have showed results with a promising accuracy which is a remarkable performance with respect to the state-of-the-art approaches. The resulting accuracies achieved using VGG, ResNet, MobileNet, Inception-v3, and Xception were 98.3%, 92.3%, 97.6%, 90% and 98.2%, respectively. As it appears, the most accurate result has been achieved when retraining VGG16 and Xception neural networks with accuracy reache to 98% due to its high performance on training on ImageNet dataset and internal structure that support classification problems. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...) also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

This paper presents a study into the Hindi-Urdu 'na' as a sentence-final particle. Although also used as a topic marker and negation, 'na' occurs sentence-finally across clause-types. In light of the data, we think the following hypothesis offers the best fit: 'na' signals the speaker’s belief that the content of na’s containing clause is a reasonable inference, given what’s common ground. Notably, in addition to other clause-types, we explore na's distribution in exclamations and exclamatives. We link our work to recent (...) research on the polar question particle 'kya' in Hindi-Urdu. (shrink)

To counter a general belief that all the paradoxes stem from a kind of circularity (or involve some self--reference, or use a diagonal argument) Stephen Yablo designed a paradox in 1993 that seemingly avoided self--reference. We turn Yablo's paradox, the most challenging paradox in the recent years, into a genuine mathematical theorem in Linear Temporal Logic (LTL). Indeed, Yablo's paradox comes in several varieties; and he showed in 2004 that there are other versions that are equally paradoxical. Formalizing these versions (...) of Yablo's paradox, we prove some theorems in LTL. This is the first time that Yablo's paradox(es) become new(ly discovered) theorems in mathematics and logic. (shrink)

Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to (...) predict whether a person is diabetic or not. The criterion was to minimize the error function in neural network training using a neural network model. After training the ANN model, the average error function of the neural network was equal to 0.01 and the accuracy of the prediction of whether a person is diabetics or not was 87.3%. (shrink)

In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using (...) data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy. (shrink)

Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of mathematical combination of the sequences that could be played by the system and using both the Gradient Descent Algorithm explicitly and the Elimination theory rules implicitly. And so on the system should be able to produce imunate amalgamations to solve every state within the game course to make better of results (...) of winnings or getting draw. (shrink)

As a type of evidence glass can be very useful contact trace material in a wide range of offences including burglaries and robberies, hit-and-run accidents, murders, assaults, ram-raids, criminal damage and thefts of and from motor vehicles. All of that offer the potential for glass fragments to be transferred from anything made of glass which breaks, to whoever or whatever was responsible. Variation in manufacture of glass allows considerable discrimination even with tiny fragments. In this study, we worked glass classification (...) and testing of artificial neural network model created by the JustNN. The aim of the study is help investigator in identifying the type of glass found in arena of the crime. The Neural Network model was trained and validated using the type of glass dataset. The accuracy of model in predicting the type of glass reached 96.7%. Thus neural network is suitable for predicating type of glasses. (shrink)

In this text, I try to examine in sufficient detail what is the exact function that Aristotle ascribes to deliberation in the Nicomachean Ethics (NE). More specifically, I intend to evaluate, in the light of the arguments built along selected passages from books II, III and VI of that work, how and to what extent deliberation plays an important role in the achievement of virtuous actions and in the consolidation of the virtuous character. Proceeding from an argumentative analysis that intends (...) to elucidate how some of the central concepts of Aristotelian ethical reflection are articulated, I shall defend, in the last part of my exposition, the interpretation according to which the function of deliberation is to produce long-term purposes that determine courses of action and that, if implemented accordingly to the orthos logos by the moral agent endowed with phronēsis, achieve the end of virtue of character. (shrink)

Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep learning (...) is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (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)

Abstract: Sarcasm is commonly used in news and detecting sarcasm in headline news is challenging for humans and thus for computers. The media regularly seem to engage sarcasm in their news headline to get the attention of people. However, people find it tough to detect the sarcasm in the headline news, hence receiving a mistaken idea about that specific news and additionally spreading it to their friends, colleagues, etc. Consequently, an intelligent system that is able to distinguish between can sarcasm (...) none sarcasm automatically is very important. The aim of the study is to build a sarcasm model that detect headline news using machine and deep learning and attempt to understand how a computer learns the patterns of sarcasm. The dataset used in this study was collected from Kaggle depository. We examined 21 algorithms of machine learning and one deep learning algorithm for detecting sarcasm in headline news. The evaluation metric used in this study are Accuracy, F1-measure, Recall, Precision, and Time needed for training and evaluation. The deep learning model achieved accuracy (95.27%), recall (96.62%), precision (94.15%), F1-score (95.37%) and time needed to train the mode (400 seconds), with loss of around 0.3398. However, the algorithm of machine learning that achieved the highest F1-Score is Passive Aggressive Classifier. It was the top classier for sarcasm detection among the machine learning algorithms with accuracy (95.50%), recall (96.09 %), precision (94.30%), F1-score (95.19%) and time needed to train the mode (0.31 seconds). (shrink)

There is no doubt that Computer troubleshooting is important for organizations and companies and for personal use level. Sound cards troubles is one of the most annoying problems in computers. It causes damage and troubles in computers to persons, organizations and firms. Correctly, expert systems can greatly help to avoid damage to these computers. designed to diagnose and troubleshoot issues related to sound cards in computer systems. The expert system is developed using a combination of rule-based and machine learning approaches, (...) which allows for accurate and efficient diagnosis of a wide range of sound card problems. Objectives: An expert system has been established based on CLIPS to diagnose Computer Problems. (shrink)

Abstract: Sarcasm is commonly used in news and detecting sarcasm in headline news is challenging for humans and thus for computers. The media regularly seem to engage sarcasm in their news headline to get the attention of people. However, people find it tough to detect the sarcasm in the headline news, hence receiving a mistaken idea about that specific news and additionally spreading it to their friends, colleagues, etc. Consequently, an intelligent system that is able to distinguish between can sarcasm (...) none sarcasm automatically is very important. The aim of the study is to build a sarcasm model that detect headline news using machine and deep learning and attempt to understand how a computer learns the patterns of sarcasm. The dataset used in this study was collected from Kaggle depository. We examined 21 algorithms of machine learning and one deep learning algorithm for detecting sarcasm in headline news. The evaluation metric used in this study are Accuracy, F1-measure, Recall, Precision, and Time needed for training and evaluation. The deep learning model achieved accuracy (95.27%), recall (96.62%), precision (94.15%), F1-score (95.37%) and time needed to train the mode (400 seconds), with loss of around 0.3398. However, the algorithm of machine learning that achieved the highest F1-Score is Passive Aggressive Classifier. It was the top classier for sarcasm detection among the machine learning algorithms with accuracy (95.50%), recall (96.09 %), precision (94.30%), F1-score (95.19%) and time needed to train the mode (0.31 seconds). (shrink)

There is an increase in the use of in-door wireless networking solutions via Wi-Fi and this increase infiltrated and utilized Wi-Fi enable devices, as well as smart mobiles, games consoles, security systems, tablet PCs and smart TVs. Thus the demand on Wi-Fi connections increased rapidly. Rule Based System is an essential method in helping using the human expertise in many challenging fields. In this paper, a Rule Based System was designed and developed for diagnosing the wireless connection problems and attain (...) a precise decision about the cause of the problem. SL5 Object expert system language was used in developing the rule based system. An Evaluation of the rule based system was carried out to test its accuracy and the results were promising. (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)

Abstract: Modernization has brought about many changes in the socio-cultural arena of life, worldwide. With the advent of science and technology, life has become so much easy, in every nook and corner of the world. The leaders of some of the great economies and corporates have devised policies, so many in number, that could make life so much sophisticated, but complex. The last century has given the world many things to cheer about, but at the same time, it has made (...) life miserable too. Prophecies made by ancient greats about the immoral practices during the hard times came to be true, as the life of a human being is just a stray bullet away. Radiations, pollution, market, pandemics, and joblessness add to many other miseries that have come in the form of physical and biological warfare and violence. Besides this, political and social instability adds to the miseries of this list, as there have been disparities and discrimination in the name of religion, sex, color, and caste too. Keywords: Modernization, Instability, Freedom, Leadership, Non-violence. (shrink)

Background: The castor bean is a large grassy or semi-wooden shrub or small tree. Any part of the castor plant parts can suffering from a disease that weakens the ability to grow and eliminates its production. Therefore, in this paper will identify the pests and diseases present in castor culture and detect the symptoms in each disease. Also images is showing the symptom form in this disease. Objectives: The main objective of this expert system is to obtain appropriate diagnosis of (...) the disease. Methods: In this paper, the expert system is designed for the ability of agricultural engineers to detect and diagnose disease of castor like as: seeding blight, alternaria blight, cercospora leaf spot, powdery mildew and wilt. This system presents the disease symptoms, survival and spread, favorable conditions and image for each disease. Clips and Delphi expert system languages are used for designing and implementing the proposed expert system. Results: The expert system in the diagnosis of castor diseases was assessed by farmers and agricultural engineers and they were satisfied and accepted with its quality of performance. Conclusions: The expert system is easy for farmers and people have experience in the plant of castor to detect and diagnosis the symptoms that may face this plant from several disease. (shrink)

Modern technology plays an important role in our daily lives. Many people use technology for their works, interactions, and special interests such as art. Art as a discipline, which expresses human emotion and creative side, takes a new form for its contextualization with the help of information technology. A neologism for this discipline is “digital art.” Some experts who employ a traditional value in their aesthetical perspective consider this new approach unlikely. Walter Benjamin, an eminent figure from this group, stated (...) that art must have an aura in its production as is the case in paintings. With this aura, the work of art and not artwork has uniqueness of value. However, the problem arises when information technology becomes a predominant tool for the work of art. Digital art does not consider the aura as the core value in defining something as a work of art. Furthermore, digital artists think that art can exist within a digital object and maintain its uniqueness. Parallel with the latter, this article will describe the dispute and make a clear statement that a work of art in the digital age does not require aura. (shrink)

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...) to produce Pneumonia detection and classification models using x-ray imaging for rapid and easy detection and identification of pneumonia. In this thesis, we review ways and mechanisms to use deep learning techniques to produce a model for Pneumonia detection. The goal is find a good and effective way to detect pneumonia based on X-rays to help the chest doctor in decision-making easily and accuracy and speed. The model will be designed and implemented, including both Dataset of image and Pneumonia detection through the use of Deep learning algorithms based on neural networks. The test and evaluation will be applied to a range of chest x-ray images and the results will be presented in detail and discussed. This thesis uses deep learning to detect pneumonia and its classification. (shrink)

Abstract: The study aimed to determine the strategic flexibility and its relationship to the level of quality of services provided, from the viewpoint of the internal beneficiary in non-governmental hospitals in Gaza Strip. The study relied on the descriptive and analytical approach, and the questionnaire was designed as a tool to collect data and consisted of (39) items, and the researchers used the comprehensive survey method, and the number of the study population was (536) individuals, where (434) questionnaires were retrieved, (...) and the recovery rate was (80.97%). The study revealed many results, the most important of which were: the existence of a moderate degree of approval by the study sample individuals on strategic flexibility, as it was evident through the area of strategic flexibility as a whole having a relative weight (60.44%). The study is on the quality of services, as it became clear through the field of service quality obtaining a relative weight (79.90%). The results of the study revealed a statistically significant relationship between strategic flexibility and the quality of services in non-governmental hospitals in Gaza Strip, with a correlation coefficient of 0.490. The study reached many recommendations, the most important of which were: the need to work on appointing young people and those with potentials, because jobs are vacant in the hospitals under study, and the need to seek the help of an administrative staff with scientific and practical qualifications, and to work on updating information systems, archiving and networks through which data and information are transferred between departments And the creation of mechanisms by which stored information can be used to enhance the decision-making process, and an effective system to receive patients' complaints in a manner that ensures rapid response and treatment, to achieve continuous communication between patients and the hospital management, and to notify patients of dealing with the complaints they submit, and work to provide all Medical and health specialties in the hospitals under study, by making use of the medical delegations that visit Gaza Strip, involving them in the treatment processes, bringing in doctors and specialists from abroad, updating the standards related to measuring the services provided to patients on an ongoing basis, based on the suggestions and complaints of patients, and developing facilities in hospitals As well as updating the medical devices and equipment used in hospitals periodically. (shrink)