Abstract: This research paper presents the development and evaluation of a neural network-based model for predicting fire alarms in smoke detection systems. Using a dataset from Kaggle containing 15 features and 3487 samples, we trained and validated a neural network with a three-layer architecture. The model achieved an accuracy of 100% and an average error of 0.0000003. Additionally, we identified the most influential features in predicting fire alarms.

Background: There is no doubt that strawberry diseases are one of the most important reasons that led to the destruction of strawberry plants and their crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...) strawberry disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper the design of the proposed Expert System which was produced to help Farmers and students interested in agriculture strawberry in diagnosing many of the strawberry diseases such as: Leaf Spots, Grey Mold, Red Stele/Red Core, Wilt, Powdery Mildew, Alternaria Spot, Black Root Rot, Anthracnose (black spot), and Angular Leaf Spot. The proposed expert system presents an overview about strawberry diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. Results: The proposed strawberry diseases diagnosis expert system was evaluated by Farmers and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Farmers with strawberry problem and students interested in agriculture strawberry. (shrink)

There is no doubt that tomato diseases are one of the important reasons that destroy the tomato plant and its crops. This leads to clear damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help to avoid damage to these plants. The expert system diagnoses tomato disease correctly to facilitate farmers (...) to find the correct treatment based on the appropriate diagnosis. Objectives: An expert system has been established based on CLIPS to diagnose tomato plant disease. (shrink)

Background: Obstetrics and gynaecology are many and common, where a woman suffers from problems related to pregnancy or her reproductive organs. Any part of her body may be affected due to some symptoms that are completely related to the reproductive organs when she is in a critical period for her, whether in her menstrual cycle, pregnancy, or disease conditions. The bulk of cases of diseases related to women and childbirth are dealt with great care and special care, as all diseases (...) related to women are considered very sensitive diseases due to the presence of the disease in sensitive and not simple places. A gynaecologist is a specialist in all diseases and problems related to the female sexual organs. They perform regular preventive medical exams, such as cervical smear tests and breast exams. It also provides consultations for women of all ages about the problems of contraception, infertility and menopause. Objectives: The objective of this expert system is to help and facilitate women in diagnosing diseases related to their obstetrics and gynaecology, a simple expert system has been designed consisting of ten various common diseases that affect women whether During or without pregnancy, Methods: In this system, the system consists of a list of some common symptoms, the correct diagnosis adopted for these diseases, and how to treat diseases in the correct way with the help of a consultant obstetrician and gynaecologist, Dr. Fathi Muhammad Al-Habibi, and these diseases are: uterine cancer, cervical cancer, Infertility, double uterus, ectopic pregnancy, endometrial cancer, female sexual dysfunction, endometriosis, faecal incontinence, female infertility, CLIPS Expert System language was used to design and implement the proposed expert system. Results: The proposed ten obstetrics and gynaecology diagnostic expert system was evaluated by medical students and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for obstetricians and gynaecologists, patients with reproductive system problems, and recent graduates. (shrink)

Background: Mint is a grassy, perennial plant, belonging to the oral platoon, fast growing and spreading, its leaves are green in color, fragrant, tart, refreshing, square-shaped leg, bifurcated, erect, ranging in height from (10 - 201 cm). Home to Europe and Asia. The mint plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the mint plant is the ideal option for the start of gardens, (...) it is prone to some common diseases that affect the plant's growth. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help Farmers and those interested in agriculture in diagnosing many of the Mint diseases such as Mint rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of mint diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Mint diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

In the present article relationship of thought and language for the priority aspect, from al-Fārābī’s point of view is discussed. Based on the three meanings of nuṭq (: speech), speaking is a process in which human soul is concerned with the three levels of intellectual faculty, apprehended objects in the mind as well as the expression by language. Then, this reveals a close and inseparable relationship between language and thought. Again it is suggested that relying on the tripartite theory of (...) word, world, and intelligibles, by Al-Fārābī, at the time of the process of speaking, human soul makes use of all knowledge either acquired previously, or the knowledge obtaining as the content of experience in the actual speech situation. Thus, in connection with the priority aspect of the relationship between thought and language, I suppose, in an analytical aspect of priority, there is no priority relation between them, namely, they are interdependent. It can be supported by this view that thought and gaining knowledge are continued even while speaking. Besides, it has been argued that the human soul, as the chief agent of thinking and obtaining knowledge, is not completely passive; then human thought cannot have transcendental supremacy over language. (shrink)

This paper will offer a systematic reconstruction of al-Ġazālī’s Sceptical Argument in his celebrated Deliverer/Delivered from Going Astray (al-Munqiḏ/al-Munqaḏ min al-Ḍalāl). Based on textual evidence, I will argue that the concept of certainty (yaqīn) in play in this argument is that of the philosophers—most notably Ibn Sīnā—and that it is firmly tied to demonstration (burhān) and hence to the materials of syllogism (mawwād al-qiyās). This will show that contrary to what many scholars believe, this Sceptical Argument is al-Ġazālī’s discovery of (...) a latent sceptical problem in Muslim philosophers’ epistemological theories based on Aristotle’s Posterior Analytics that escaped even the agile mind of aš-šayḫ ar-raʾīs Ibn Sīnā. This reconstruction will also shed some light on the widespread assumption that al-Ġazālī anticipates Descartes’s sceptical considerations in the First Meditation. I will argue that not only do the two thinkers use incompatible strategies to reach their respective sceptical conclusions, but both their conclusions and their use of God in refuting them are also essentially non-identical. The conclusion is that the two sceptical arguments are essentially different. (shrink)

Notwithstanding its value as the earliest extant New Persian treatment of the art of rhetoric, Rādūyānī’s Interpreter of Rhetoric (Tarjumān al-Balāgha) has yet to be read from the vantage point of comparative poetics. Composed in the Ferghana region of modern Central Asia between the end of the eleventh century and the beginning of the twelfth century, Rādūyānī’s vernacularization of classical Arabic norms inaugurated literary theory in the New Persian language. I argue here that Rādūyānī’s vernacularization is most consequential with respect (...) to its transformation of the classical Arabic tropes of metaphor (istiʿāra) and comparison (tashbīh) to suit the new exigencies of a New Persian literary culture. In reversing the relation between metaphor and comparison enshrined in Arabic aesthetics, Rādūyānī concretized the Persian contribution to the global study of literary form. -/- . (shrink)

Đại dịch COVID-19 đã gây ra những diễn biến phức tạp, khó lường và tác động đến nhiều mặt của đời sống xã hội, lĩnh vực giáo dục cũng không nằm ngoài tác động đó. Học sinh được trải nghiệm học tập trực tuyến và có những khoảng thời gian “bất thường” rời xa trường lớp, bạn bè và tự học ở nhà (Hoang, 2020; Tran, 2020). Các hoạt động khoa học và giáo dục cũng chịu tác động không nhỏ (...) (Vuong, 2018). Đời sống vật chất lẫn tinh thần của đội ngũ giáo viên cả trong nước lẫn giáo viên nước ngoài đi dạy tại các quốc gia đều bị suy giảm (Vu et al., 2020). Đã có gần 42.000 giáo viên phải hoãn hợp đồng làm việc và không có lương, trong đó có 29.700 giáo viên mẫu giáo bỗng chốc trở nên thất nghiệp và phải làm các công việc thời vụ để đáp ứng đời sống thường nhật (Bich Thanh, 2020). Khoảng 70% các tổ chức giáo dục tư nhân có thể sẽ phá sản khi không thể lưu động đủ chi trả các loại hình tài chính khác nhau (Nguyen, 2020). Rất nhiều trường học đang lo lắng về tình trạng không mong muốn này bởi giáo viên sẽ không thể đảm bảo chất lượng công việc khi mà chất lượng cuộc sống của họ cũng đang bị đe dọa (Canrinus et al., 2012). Hơn nữa, hiệu suất làm việc giáo viên được cho là yếu tố tác động quan trọng và có ảnh hưởng nhiều nhất đến học sinh (Darling-Hammond and Youngs, 2002; Staiger and Rockoff, 2010), so với các tác động bên ngoài như lòng yêu nghề, cách diễn đạt, sự tương tác hay mối quan hệ giữa giáo viên và học sinh (Marsh and Bailey, 1991). (shrink)

Abstract: Dates are the fruit of date palm trees, and it is one of the fruits famous for its high nutritional value. It is a summer fruit spread in the Arab world. In the past, the Arabs relied on it in their daily lives. Dates take an oval shape and vary in size from 20 to 60 mm in length and 8 to 30 mm in diameter. The ripe fruit consists of a hard core surrounded by a papery cover called (...) the tartar that separates the core from the fleshy part that is eaten. Historians disagreed about the place of its origin, so some historians expressed their belief that it had originated around the Arabian Gulf, and some of them say that the oldest known information about palm trees was in Babylon 4 thousand years ago BC. It is known about the ancient Egyptians using dates in wine. Dates contain a high nutritional value and are considered a basic food for man since ancient times. The fruits of dates are considered the highest fruits in containing sugars. These components vary according to the nature of the fruit, whether it is wet, semi-dry or dry, as well as according to the environmental conditions surrounding the trees. The components of the fruits also differ in different varieties and increase the percentage of sugars in dates is 70-78% of the fruit’s components. These sugars are characterized by their rapid absorption and transfer into the blood directly, digestion and burning. 10 dates (about 100 grams) per day provide a person with all his daily needs of magnesium, manganese, copper, sulfur and half of his needs of calcium and potassium. In this paper we presented a system that recognize the nine types of dates based on deep learning using python on Colab, and classifying using a dataset contain 1350 images. Our trained model achieved an accuracy of 99.44% on a proven test set. (shrink)

Bu kitapta, Ebû İshâk es-Saffâr’ın (öl. 534/1139) kelâmî görüşleri, Telḫîṣü’l-edille li-ḳavâʿidi’t-tevḥîd adlı eserinde Allah’ın isimlerinin anlamlarını açıklarken yaptığı yorumlar çerçevesinde ele alınmaktadır. Ebû İshâk es-Saffâr, 6./12. yüzyıl Hanefî-Mâtürîdî âlimlerinden biridir. Kelâma dair Telḫîṣü’l-edille eserinde esmâ-i hüsnâ konusuna ayrıntılı olarak yer vermektedir. İki cilt hâlinde yayımlanan bu eserin yaklaşık üçte birlik bir kısmını esmâ-i hüsnâ konusu oluşturmaktadır. Bu kısım incelendiğinde, Saffâr’ın Allah’ın varlığı, birliği ve sıfatları ile ilgili konular başta olmak üzere pek çok konuyu 175 esmâ-i hüsnâya dayanarak izah ettiği görülmektedir. (...) O, esmâ-i hüsnâ bölümünde yer vermediği bazı isimlere ise müstakil başlıklar altında değinmektedir. Örneğin el-Mütekkelim ismi kelâm sıfatını bağlamında ve halku’l-Kur’ân ile icâz’ul-Kur’ân gibi konularla ilişkili bir şekilde ele almaktadır. Bu isimler de listeye dahil edildiğinde sayı 178’e ulaşmaktadır. Bu durumda eserin yarısını esmâ-i hüsnâ konusu teşkil etmektedir. -/- Saffâr, esmâ-i hüsnâ bölümünde alfabetik bir sıra içerisinde ele aldığı ilâhî isimleri öncelikle lugavî (semantik) yönden izah etmektedir. Sonrasında ise değerlendirdiği ilahî ismi, bir kelâm konusu ile bağlantı kurarak kelâmî perspektifle açıklamaktadır Esmâ-i hüsnâ temelinde ele alınan konuların hilâfet meselesi hariç diğer kelâm bahislerini kapsadığı görülmektedir. Saffâr öncesi Hanefî-Mâtürîdî kelâm literatürü içinde esmâ-i hüsnânın bu kadar kapsamlı ele alındığı başka bir eser bilinmemektedir. -/- Bu kitap; üç ana bölümden oluşmaktadır. “Metodolojik Çerçeve” başlıklı giriş bölümünde çalışmanın konusu, önemi, amacı, yöntemi ve kaynakları hakkında bilgi verilmiştir. Birinci bölümde Saffâr’ın yaşadığı sosyokültürel çevre olan Mâverâünnehir bölgesi ile Buhara ve Merv şehirlerinin siyasî, sosyal ve dinî durumu ortaya konulmaya çalışılmıştır. İkinci bölümde esmâ-i hüsna konusunun anlaşılmasına temel oluşturan isim, tesmiye, müsemmâ, sıfat ve vasf gibi kavramlar ile esmâ-i hüsnânın sayısı ve ihsâsı gibi kelâmî tartışmalara değinilmiştir. Sonrasında Saffâr öncesi dönemde kaleme alınan esmâ-i hüsnâ litaratürü hakkında bilgi verilmiştir. Bölüm sonuna Saffâr’ın rivayet ettiği 178 ilahî isme dair ayrıntılı bir tablo eklenmiştir. Üçüncü bölümde öncelikle, Saffâr’ın esmâ-i hüsnâyı izah ederken dikkate aldığı kelâmî ilkeler tespit edilmeye çalışılmıştır. Sonrasında ise Saffâr’ın Telḫîṣü’l-edille’de ilâhî isimleri açıklarken ortaya koyduğu kelâmî görüş ve değerlendirmeler belirlenerek sistematik bir şekilde kategorize edilmiştir. Bu kapsamda ele alınan her konunun sonuna ilgili ilâhî isimleri ve bağlantılı olduğu tartışmaları içeren tablolar eklenmiştir. Sonuç bölümünde ise Saffâr’ın esmâ-i hüsnâ anlayışına dayanan kelâm yöntemine dair ulaştığımız sonuçlara yer verilmiştir. Bu kitapta onun, esmâ-i hüsnânın %75’inde kelâmî yorumlarda bulunduğu ve bilgi-varlık bahsinden âhiret hayatına kadar bütün kelâm konularını esmâ-i hüsnâ ile bağlantılı yorumladığı tespit edilmiştir. Ulaşılan bu sonuçlar, Saffâr’ın kelâm anlayışının ilâhî isimlerin yorumuna dayandığını ortaya koymaktadır. [his book discusses the theological views of Abū Isḥāq al-Ṣaffār d. 534/1139), within the framework of his comments on the meanings of Allah’s names, provided in his work titled Talkhīṣ al-adilla. Abū Isḥāq al-Ṣaffār is one of the Ḥanafite-Māturīdite scholars in the 6th/12th century. In his work titled Talkhīṣ al-adilla li-qawāʿid al-tawḥīd on kalām, he spared extensive space for al-asmāʾ al-husnā. Approximately one third of this work, published in two volumes, is devoted to al-asmāʾ al-husnā. An examination of the related section reveals that al-Ṣaffār explains many issues, particularly those related to the existence, unity and attributes of Allah, based on 175 al-asmāʾ al-husnā. He mentions some of the names that he does not include in the al-asmāʾ al-husnā section under separate headings. For example, the name al-Mutakallim is addressed within the context of the attribute of kalām and in relation to subjects, such as the khalq al-Qurʾān and i‘jaz al-Qurʾān. Upon the addition of these names to the list, the number names reaches 178. This means that half of the work deals with the subject of al-asmāʾ al-husnā. -/- al-Ṣaffār lists the divine names in alphabetical order and explains them semantically in the chapter of al-asmāʾ al-husnā. Then he goes on to clarify each divine name through a theological lens with a specific reference to the subject of kalām. In the pre-Saffar Ḥanafite-Māturīdite theological literature, there is no other work that addresses al-asmāʾ al-husnā in such an extensive way. -/- This book consists of three main sections. The first section titled “Methodological Framework”, elaborates on the focus, significance, purpose and method of the study, along with the sources used. The first part describes the political, social and religious status of Transoxiana (Mā-warāʾ al-Nahr) region and the cities of Bukhara and Marw, the sociocultural environment in which Saffar lived. The second chapter addresses various concepts, which promote the understanding of al-asmāʾ al-husnā, such as name, tasmiya, musammā, attribute and qualification in addition to the theological debates such as the number and iḥṣāʾ of al-asmāʾ al-husnā. Then, it provides information about the al-asmāʾ al-husnā literature produced in the pre- Ṣaffār period. The end of each chapter comes with a detailed table with the 178 divine names mentioned by al-Ṣaffār. In the third chapter, the author initially discusses the theological principles that al-Ṣaffār considered while explaining the essence of al-asmāʾ al-husnā. This section also determines and systematically categorizes the theological views and evaluations put forward by al-Ṣaffār while explaining the divine names in Talkhīṣ al-adilla. The tables with the divine names and the related discussions can be seen at the end of the discussion for each subject. The last section presents the conclusions reached, regarding the kalām method based on al-Ṣaffār’s understanding of the essence of al-asmāʾ al-husnā. The present study revealed that he made theological interpretations in 75% of the al-asmāʾ al-husnā and interpreted all theological issues ranging from the subjects of knowledge and existence to the Afterlife in connection with the al-asmāʾ al-husnā. These results indicate that al-Ṣaffār's understanding of kalām is based on the interpretation of the divine names.]. (shrink)

Musikalische Schlußbildung gehört zu den zentralsten Themen in der Musikwissenschaft und führt in tiefere philosophische Bereiche, denn das Schließen und Enden ist an einem langen Ende für den Menschen auch mit dem schwierigen Rätsel des Todes verbunden. Ist dieses nicht gelöst, bleibt auch musikalisches Enden und Schließen eine ungeknackte Nuß. Bach, Beethoven und Schönberg haben, aufeinander aufbauend, drei Lösungskonzepte entwickelt.

Abstract: The efficiency and performance of sorting algorithms play a crucial role in various applications and industries. In this research paper, we present a comprehensive comparative analysis of popular sorting algorithms on datasets of different sizes and characteristics. The aim is to evaluate the algorithms' performance and identify their strengths and weaknesses under varying scenarios. We consider six commonly used sorting algorithms: QuickSort, TimSort, MergeSort, HeapSort, RadixSort, and ShellSort. These algorithms represent a range of approaches and techniques, including divide-and-conquer, hybrid (...) sorting, and simple comparison-based methods. To assess their performance, we employ a diverse set of datasets, including the Iris dataset (1K), student dataset (5.8K), Wine dataset (6.5K), Uniform (10K), Normal (10K), Exponential (10K), Bimodal (10K), Yelp dataset (10K), MNIST dataset (42K), Uniform (100K), Normal (100K), Exponential (100K), Bimodal (100K), Uniform (500K), Normal (500K), Exponential (500K), Bimodal (500K), Uniform (1M), Normal (1M), Exponential (1M), and Bimodal (1M). These datasets cover a wide range of sizes and characteristics, allowing us to analyze the algorithms' performance across different dimensions. We measure and compare several key metrics, including execution time, memory usage, algorithmic complexity and stability. By analyzing these metrics, we gain insights into the efficiency and suitability of each algorithm for different dataset sizes and characteristics. We also discuss the implications of the findings in practical applications. Our results reveal important trade-offs among the sorting algorithms. While some algorithms excel in certain scenarios, others demonstrate better scalability or memory efficiency. We identify the best-performing algorithms for specific dataset characteristics and highlight their strengths and limitations. This research can assist developers and practitioners in selecting appropriate sorting algorithms based on their specific requirements and dataset characteristics. In conclusion, this comparative analysis provides a valuable contribution to the understanding of sorting algorithm performance. The findings contribute insights into the efficiency and suitability of popular sorting algorithms across datasets of different sizes and characteristics. By evaluating key metrics and discussing the implications, we offer guidance for selecting the most appropriate sorting algorithm in various practical scenarios. (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)

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)

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)

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)

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)

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...) suitable for the evaluation of car acceptability forecasting, can also be extended to all other areas. (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 quantum state of the universe is 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)

I develop a phenomenological account of racialized encounters with works of art and film, wherein the racialized viewer feels cast as perpetually past, coming “too late” to intervene in the meaning of her own representation. This points to the distinctive role that the colonial past plays in mediating and constructing our self-images. I draw on my experience of three exhibitions that take Muslims and/or Arabs as their subject matter and that ostensibly try to interrupt or subvert racialization while reproducing some (...) of its tropes. My examples are the Jean-Joseph Benjamin-Constant exhibition at the Montreal Museum of Fine Arts (2015), the exposition Welten der Muslime at the Ethnologisches Museum in Berlin (2011–2017), and a sculpture by Bob and Roberta Smith at the Leeds City Art Gallery, created in response to the imperial power painting, General Gordon’s Last Stand, that is housed there. My interest is in how artworks contribute to the experience of being racialized in ways that not only amplify the circulation of images but also constitute difficult temporal relations to images. Drawing on Frantz Fanon’s Black Skin, White Masks, I argue that such racialized images are temporally gluey, or stuck, so that we are weighted and bogged down by them. This essay received Honorable Mention from the American Society for Aesthetics Feminist Caucus Committee in the Feminist Research Essay prize in 2020. (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)

Abstract: In this study, we explore the possibility of classifying the plant species. We collected the plant species from Kaggle website. This dataset encompasses 544 samples, encompassing 136 distinct plant species. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing plant Species classification accuracy and efficiency. This research explores plant Species classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 544 entries, we develop and evaluate a neural network model. Our neural network, (...) featuring a single hidden layer, achieves remarkable results—a staggering 100% accuracy and a minute average error rate of 0.002. Beyond performance metrics, we delve into the intricacies of plant Species classification through feature importance analysis. The most influential features— Vegsout, durflow, semiros, pdias, begflow, wind, leafy, autopoll and insects— uncover the physiological traits underpinning accurate rice classification. This research contributes to advancing rice classification methods and highlights the potential of ANNs in optimizing agricultural practices, ensuring plant safety, and bolstering global trade. (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)

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)

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)

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)

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)

The research aims to study the role of strategic and operational planning as approach for crises management in UNRWA - Gaza Strip field- Palestine. Several descriptive analytical methods were used for this purpose and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that strategic and operational planning is performed in UNRWA. The results of static analysis show that there are a (...) relation between strategic and operational planning and crises management. In spite this relation existence, it need more improvement and expanding. Also there are shortcomings in the way that organization manages the crises before and after they occur. A crisis management is only practicing during the crisis. The study suggests that UNRWA must invest in more resources to enhance strategic and operational palming and improve other methods to face potential crises in the future. (shrink)

Learning programming is thought to be troublesome. One doable reason why students don’t do well in programming is expounded to the very fact that traditional way of learning within the lecture hall adds more stress on students in understanding the Material rather than applying the Material to a true application. For a few students, this teaching model might not catch their interest. As a result, they'll not offer their best effort to grasp the Material given. Seeing however the information is (...) applied to real issues will increase student interest in learning. As a consequence, this may increase their effort to be taught. In the current paper, we try to help students learn C# programming language using Intelligent Tutoring System. This ITS was developed using ITSB authoring tool to be able to help the student learn programming efficiently and make the learning procedure very pleasing. A knowledge base using ITSB authoring tool style was used to represent the student's work and to give customized feedback and support to students. (shrink)

Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water quality (...) monitoring and decision-making for stakeholders and policymakers. (shrink)

Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...) classification of papaya fruits if it's mature or partially matured or unmatured. A deep learning technique that was extensively applied to image recognition was used. The trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. Classification model of VGG16 achieved a 100% accuracy and 112 seconds of training time. (shrink)

It is, without a doubt, a difficult task to address at once the state of philosophy as embodied by the Society for Phenomenology and Existential Philosophy and the place of one’s own thought within it. This is the task that a co-director’s address tries to fill. Whether with a critical reexamination of the phenomenological mode of seeing distinctive of SPEP, of philosophical progress, or of the place of transcontinental philosophy, prior co-directors found ways to subtly chart the windings and turns (...) of the many streams that assemble to form this society.We seem to be, however, at a different juncture, so that another... (shrink)

The cucumber is a creeping vine that roots in the ground and grows up trellises or other supporting frames, wrapping around supports with thin, spiraling tendrils. The plant may also root in a soilless medium, whereby it will sprawl along the ground in lieu of a supporting structure. The vine has large leaves that form a canopy over the fruits. Among these common diseases, we single out the diseases that affect the cucumber, which is affected by about 22 diseases, with (...) different symptoms for each disease. Today, technology is facilitating human life in all areas of life, and among these facilities are expert systems that have become an integral part of human life as they contain several systems and areas, for example: Artificial Intelligence (AI), which refers to systems or devices that simulate Human intelligence to perform tasks that can improve itself based on some human information, and other areas, and with reference to expert systems and their importance to humans, an integrated expert system has been created in the agricultural field that diagnoses cucumber diseases using CLIPS Expert System language Delphi language. The system was used to design and implement the proposed expert system. The system facilitates the diagnosis of cucumber-related diseases. There is no doubt that this expert system will help farmers and those involved in the agricultural field to diagnose cucumber-related diseases. Objectives: is to help farmers diagnose pear diseases in the correct way and how to treat these diseases. Method: The system contains a program that diagnoses 22 diseases that affect cucumber. Results: The expert system was evaluated by farmers and praised for helping them with it. Conclusion: The expert system for diagnosing cucumber diseases is effective and usable. (shrink)

In this paper, I explore some of the temporal structures of racialized experience – what I call racialized time. I draw on the Martiniquan philosopher and psychiatrist Frantz Fanon, in particular his book ‘Black Skin, White Masks,’ in order to ask how racism can be understood as a social pathology which, when internalized or ‘epidermalized,’ may result in aberrations of affect, embodiment and agency that are temporally lived. In this regard, I analyze the racialized experience of coming ‘too late’ to (...) a world predetermined in advance and the distorted relation to possibility – the limitation of playfulness and imaginative variability – that defines this sense of lateness. I argue that the racialization of the past plays a structuring role in such experience. Racialization is not limited to the present, but also colonizes and reconfigures the past, splitting it into a duality of times: one open and civilizational, the other closed, anachronistic and racialized. To understand this colonial construction of the past, I draw on the work of Latin American thinker Aníbal Quijano. (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)

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)

Intelligent Tutoring Systems (ITS) has a wide influence on the exchange rate, education, health, training, and educational programs. In this paper we describe an intelligent tutoring system that helps student study computer networks. The current ITS provides intelligent presentation of educational content appropriate for students, such as the degree of knowledge, the desired level of detail, assessment, student level, and familiarity with the subject. Our Intelligent tutoring system was developed using ITSB authoring tool for building ITS. A preliminary evaluation of (...) the ITS was done by a group of students and teachers. The results were acceptable. (shrink)

This paper aims to identify the decision support systems and their role on the strategic management development in the Universities- Case Study: Islamic University of Gaza. The descriptive approach was used where a questionnaire was developed and distributed to a stratified random sample. (230) questionnaires were distributed and (204) were returned with response rate (88.7%). The most important findings of the study: The presence of a statistically significant positive correlation between the decision support systems and strategic management in the Islamic (...) University in Gaza, and this shows that there is a role for decision support systems in strategic management development. The senior management is convinced of the importance of strategic management of the organization, and this conviction paid to clearly understand the process of the development of strategic management and thus led to a commitment to this process to improve its performance. There is an impact on the strategic management of the capabilities available for the use of decision support systems, and the type of decision support systems used, while there is little effect of top management support for the use of decision support systems. Also, the results showed that there were no statistically significant differences between the averages of the respondents answers attributed to personal data. The research also concluded a series of recommendations: The Islamic University of Gaza need to develop its infrastructure of decision support systems when it develops the strategic management. It should increase its interest in organizational potential through the necessity of a separate unit for decision support systems. As well as increased interest in the physical and technical capabilities available to decision support systems through continuity in keeping pace with technological means and techniques, continued support of senior management in the organization of strategic management for its positive role on decision support systems, that senior management will continue in the organization in creating a culture of strategic management, and it should encourage employees to participate in the strategic management process. (shrink)

The research aims to identify the learning organizations and their role in achieving organizational excellence in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) workers from the Palestinian universities was selected and the recovery rate (...) was (69.2%). Statistical analysis (SPSS) program was used for analysis and processing the data. The research found the following results: there is a fair degree of approval on "cognitive dimension", there is a high approval about the importance of "organizational dimension", there is moderately consent of the importance of "Community dimension", there is a large degree of consent about the importance of axis of the "leadership excellence", there is a large degree of consent about the importance of axis of the "service-excellence", there is a fair degree approval about the importance of the axis of "cognitive excellence", and there is a moderately consent of the importance of "Organizational Excellence". The research found a group of recommendations including: the need to develop appropriate strategies for the University, employ modern technology in information systems, in addition to provide appropriate environment that achieve learning organizations, develop technological infrastructure, adopt universities for knowledge management in the academic and administrative departments because knowledge is the core of the work of these departments, create technological incubators in universities to adopt excellence academic research projects, and protected them, support them, and market them. Establishing of centers of excellence for scientific research in the university.The need for cooperation and coordination between local, Arab and international universities for the exchange of knowledge, information, and participation programs and training courses, as it provides an opportunity to develop the capabilities and skills of personnel and expertise. (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)

In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The evaluation (...) of testing the dataset shows that the ANN model is capable of correctly predicting the birth weight with 100% accuracy. (shrink)

This paper suggests that time could have a much richer mathematical structure than that of the real numbers. Clark & Read (1984) argue that a hypertask (uncountably many tasks done in a finite length of time) cannot be performed. Assuming that time takes values in the real numbers, we give a trivial proof of this. If we instead take the surreal numbers as a model of time, then not only are hypertasks possible but so is an ultratask (a sequence which (...) includes one task done for each ordinal number—thus a proper class of them). We argue that the surreal numbers are in some respects a better model of the temporal continuum than the real numbers as defined in mainstream mathematics, and that surreal time and hypertasks are mathematically possible. (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)

This chapter argues that Fanon works to interrupt specular and spectacular renderings of suffering and colonial violence. The touch that Fanon advocates is neither optimal grip, violent grasp, nor uniform pressure, nor can it be predicted in advance. His writing touches colonial wounds; by palpating these wounds and dwelling in them, it resuscitates colonial wounds as feelings that are flesh, and does not leave them behind as if their scar tissue was merely a numb object of the past. Fanon seems (...) to reiterate Edmund Husserl’s phenomenological discovery in Ideas II that the hand that touches the surface of a table, as it moves across it, also feels itself touched. Fanon’s aim is not simply to calculate the destructive effects of colonization, against arguments for its partial “civilizing” benefits. (shrink)

The study aims to analyze the impact of top management support for strategic planning on crisis management in UNRWA-Gaza Strip field in Palestine. Several descriptive analytical methods were used for this purpose, and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that top management provides needed HR for strategic planning but with no financial support. Also there are shortcomings in the (...) way that organization manages the crises before and after they occur. A crisis management is only practicing during the crisis. The study suggest that top management must provide the financial support for strategic planning, periodic meetings to prepare how to deal with potential crisis in the future, establishing a specialized team and provide them with all sources needed. (shrink)

The research aims to identify the status of the application of electronic document management system in governmental institutions – the study was applied on the Palestinian Pension Agency. The population of this study is composed of all employees in the Palestinian Pension Agency. In order to achieve the objectives of the study, the researchers used the descriptive and analytical approach, through which try to describe the phenomenon of the subject of the study, analyze the data and the relationship between the (...) components and the views put around it. Census method was used due to the small size of the study population and ease of access to the target group. (108) questionnaires were distributed to all members of the study population, were (65) employees in the Gaza Strip and (43) employees in the West Bank. All questionnaires were recovered. The study found the following results: There were no statistically significant differences in the members of the population in response to differences in the study about the reality of the application of electronic document management system in governmental institutions - case study on the Palestinian Pension Authority due to the age. There are no statistically significant differences in population members in response to the reality of the application of electronic document management system in governmental institutions - case Study on the Palestinian Pension Authority due to the variable nature of the job. As well as there are no statistically significant differences in the members of the population in response to the study about the reality of the application of electronic document management system in governmental institutions - case study on the Palestinian Pension Authority due to the variable of specialization. There are statistically significant differences in the study about the reality of the application of electronic document management system in governmental institutions - case study on the Palestinian Pension Authority due to Qualification variable for the benefit of members of the population study who are holding a Bachelor degree. There are statistically significant differences in the study about the reality of the application of electronic document management system in governmental institutions – case study on the Palestinian Pension Authority due to the variable number of years of experience for the benefit of members of the study population who have experience between 11-15 years. The study found a group of recommendations, including: the need to focus on the establishment of a general management of electronic documents in the organization structure that takes care of all the technical processes in it an contains scientifically qualified persons in the field of electronic document management. The need is for the attention in developing strategic plans, policies and mechanisms of action commensurate with the electronic document management system. (shrink)