Russophilism and Misunderstanding Ukraine (Review: Olga Onuch and Henry Hale. The Zelensky Effect. London: Hurst and Co., 2023; Dominique Arel and Jesse Driscoll. Ukraine’s Unnamed War. Before the Russian Invasion of 2022. Cambridge: Cambridge University Press, 2023).

The sixteenth-century Cossacks became the favourite topic of Ukrainian authors of the nineteenth century who dealt with national and individual identity issues. Nikolai Gogol, the celebrated Russian author who had Ukrainian origin and was born in a Cossack village, wrote the epic romance of Taras Bulba, which narrated the story of Cossacks and their struggle for preserving their independence. While the work has been previously studied under the light of postcolonial theoretical framework, using the concepts developed by Homi Bhabha to (...) scrutinize the situation and the destiny of the two main hybrid characters, Taras Bulba’s sons, takes a step further and reveals the deeply ingrained anxiety and ambivalence in the Cossack mentality. The article focuses on the two main hybrid characters who choose divergent paths upon encountering the conflict brought to them by the imperial power. (shrink)

Publication of Taras Lyuty’s book on Nietzsche is a salient event in the philosophical life of Ukraine in 2016. Given the fact that the book covers a great number of different issues, the reviewer decides to focus on those of them which correspond to his own academic interests, related primarily to the history of psychoanalysis and biographical approach within the historiography of philosophy. As a review shows, Lyuty masterfully avoids such a trap as a biographical reductivism. He neither reduces his (...) hero’s teaching to his life, nor isolates the former from the latter. The reviewer pays a special attention to Lyuty’s delineation of intellectual links between the great philosopher and some of his predecessors (such as Ralf Waldo Emerson) and followers (some pioneers of depth psychology). In the end, the reviewer demonstrates that a very deep and systematic analysis of Nietzsche’s biography and philosophical heritage carried out by Lyuty leaves a room for further productive reflections and interpretations. (shrink)

EN: Selection of Marczyński's interviews on philosophy and literature which were recorded in early 2007 for the purpose of his radio broadcast "Hortus (In)Conclusus." Includes interviews with: Marek Bieńczyk, Józef Bremer, Ihor Byczko, Andrij Dachnij, Anna Dziedzic, Mateusz Falkowski, Tadeusz Gadacz, Michał Głowiński, Dorota Hall, Serhij Jospenko, Wachtang Kebuładze, Zbigniew Kloch, Andrzej Kołakowski, Wasyl Lisowyj, Ołeksandr Majewskyj, Anton Marczynski, Julia Marczyńska, Wadym Menżulin, Zbigniew Mikołejko, Monika Milewska, Andrij Okara, Ihor Paśko, Adam Pomorski, Myrosła Popowycz, Jerzy Prokopiuk, Iryna Puchta, Barbara Skarga, (...) Dmytro Stepowyk, Władysław Stróżewski, Myrosław Trofymuk, Tomas Venclova, Jan Woleński, Taras Wozniak, Arkadiusz Żychliński. (shrink)

Volumul de articole, studii, cuvântări şi Pastorale publicat la Editura Mitropolia Olteniei din Craiova în anul 1986 trebuie văzut şi analizat, pentru o bună şi corectă înţelegere, în lumina vremurilor în care a apărut. În acelaşi timp, ideile pe care IPS Nestor Vornicescu, Arhiepiscopul Craiovei şi Mitropolitul Olteniei, le dezvoltă în scrierile sale sunt actuale şi după aproape 30 de ani de la strângerea lor între paginile aceleaşi cărţi, după ce văzuseră lumina tiparului cu ani în urmă în diferite reviste (...) din ţară şi străinătate, semn că autorul dovedeşte o putere impresionantă de a rămâne viu prin scrierile sale într-o epocă în care totul era dictat şi atent controlat şi cenzurat de la centru. În zilele noastre, într-o perioadă în care cei ce abordează teme ca „patriotism”, „românism”, „idealul strămoşilor”, „istoria naţională”, „pacea pe pământ”, „munca”, „dreptatea” ş.a. sunt consideraţi a fi spirite retrograde şi contaminate de perioada apusă şi de tristă amintire, cuvintele IPS Nestor Vornicescu referitoare la aceste idei rămân de o actualitate ce îi lasă pe mulţi fără replică. În ciuda faptului că anumite cuvinte şi expresii au fost acaparate de doctrina comunistă, schimbându-li-se sensul, ele reprezintă constante şi permanenţe atât ale spiritului nostru naţional, cât şi virtuţi creştine despre care s-a vorbit şi trebuie să se vorbească şi să fie respectate pentru a putea să ne orientăm într-o Europă din care ele nu au dispărut nicio clipă din discursul oficial sau particular şi în care România îşi caută coordonatele naţionale pentru a se adapta după integrarea atât de mult dorită de toţi. „Volumul Pace pe pământ îl adevereşte pe Mitropolitul şi Academicianul Nestor Vornicescu ca ierarh şi teolog pe linia învăţăturii şi a tradiţiei Ortodoxiei româneşti, iubitor şi luptător pentru ţară şi popor, pentru pace şi înţelegere între oameni şi neamuri, pentru apărarea păcii şi a vieţii. Concluzia categorică este că pacea – salvgardarea, apărarea, întărirea, impunerea şi permanentizarea ei urbi et orbi – constituie imperativul vital al zilelor noastre, cum arată autorul pe bună dreptate”.2. (shrink)

Despre afinitățile elective dintre Mircea Eliade și diferiți oameni de cultură români și străini s-au scris multe pagini de-a lungul timpului. Cei interesați de opera savantului nu pot trece cu vederea legăturile spirituale și culturale cu Nae Ionescu, Mihail Sebastian, Emil Cioran, Constantin Noica, Goethe, C.G. Jung, Marcel Proust, Raffaele Pettazzoni etc. Și numărul acestora poate crește cu multe alte nume din țară și din străinătate, dovedind faptul că Mircea Eliade a fost și rămâne o personalitate care a marcat istoria (...) și cultura națională și universală și ale cărui idei încă fecundează spiritele preocupate de viața religioasă, de literatură sau de științele secolului în care trăim. Pornind de la aceste date, în cartea de față încercăm să creionăm felul în care ideile lui Eliade pot fi așezate alături de cele ale unor gânditori din arii diferite de cercetare, având în centru teme ce se regăsesc atât în lucrările savantului de origine română, cât și operele acestor personalități. În acest sens, ne-am oprit la câteva nume importante: Rudolf Otto, Sfântul Dionisie Areopagitul (alături de Meister Eckhart și Nicolaus Cusanus), Pr. Alexander Schmemann, Thomas J.J. Altizer, Sfântul Grigorie Palama (și isihasmul), I.P. Culianu, Marin Sorescu, Constantin Brâncuși, Nicolae Steinhardt, Pr. Dumitru Stăniloae. (shrink)

Le but de ce recueil est d’offrir des commentaires accessibles et introductifs aux textes classiques qu’ils accompagnent, en ouvrant des perspectives de discussion sur le thème du capitalisme. C’est en ce sens qu’Emmanuel Chaput lance le débat en commentant le texte de Pierre-Joseph Proudhon, « Qu’est-ce que la propriété ? ». Les textes de Karl Marx ne sont bien sûr pas laissés pour compte : Samuel-Élie Lesage s’engage fermement dans cette voie en discutant L’idéologie allemande de Karl Marx, Christiane Bailey (...) nous offre d’approcher différemment l’œuvre marxienne en abordant son traitement de la question animale dans des extraits du Manifeste du parti communiste et du Travail salarié et capital, et Mathieu Joffre-Lainé nous présente une analyse fine des questions proprement économiques du Capital. Abordant les alternatives au capitalisme dans la pensée de Léon Bourgeois, Éliot Litalien commente La Solidarité et Simon-Pierre Chevarie-Cossette s’attaque à l’analyse de l’Essai d’une philosophie de la solidarité. Enfin, en liant capitalisme, patriarcat et pouvoir politique, Tara Chanady propose une lecture du texte Du mariage et de l’amour de Emma Goldman. La conclusion de Marie-Eve Jalbert se situe dans une perspective contemporaine et critique en décortiquant la critique du socialisme avancée par Friedrich A. Hayek. (shrink)

Mărturii importante despre momentul 23 august 1944 deţinem şi ca urmare a existenţei, în Arhivele Naţionale ale României – Fondul „Manuscrise”, a Memoriului de activitate al lui Traian Borcescu, şeful Secţiei a II-a Contrainformaţii din cadrul Serviciului Special de Informaţii (SSI). Ofiţerul, din postura sa de conducător al structurii SSI-ului cu atribuţii în ceea ce priveşte cunoaşterea şi combaterea fenomenelor care puteau atinge ordinea şi stabilitatea internă a ţării în timp de război, este unul din participanţii direcţi la acţiunea de (...) pregătire a actului, demonstrând, încă o dată, că această îndrăzneaţă acţiune de alăturare a României la coaliţia Naţiunilor Unite nu s-a făcut ad-hoc, ci a necesitat un plan minuţios elaborat la care SSI-ul a contribuit prin reprezentanţii săi care şi-au făcut pe deplin datoria faţa de ţară, ca şi în alte momente sau evenimente de mare importanţă pentru România. (shrink)

Asemenea altor procese istorice, procesul de destrămare a regimurilor comuniste din Europa Centrală și de Est nu poate fi periodizat cu ușurință și nu poate fi corelat cu o explicație cauzală irefutabilă. Prăbușirea acestor regimuri s-a petrecut accelerat în cursul anului 1989, însă procesul de decompensare a început mult mai devreme. Când anume? – Este foarte greu de spus. Fără îndoială, au existat cauze obiective care au dus la rezultatele spectaculoase consemnate de istorie, însă a existat și un joc al (...) întâmplărilor fericite, precum și un impact aproape imposibil de măsurat al unor factori subiectivi. Destrămarea regimurilor comuniste din Europa Centrală și de Est nu a părut inevitabilă pentru actorii scenei politice din anul 1989, după cum nu ni se pare nici nouă că ar fi fost vorba de un proces inexorabil, la trei decenii de la evenimentele respective. Dat fiind caracterul puțin previzibil al evenimentelor care au marcat destrămarea regimurilor comuniste din Blocul Estic, nu este de mirare că ziariștii de la „Scînteia“ au aplicat până la capăt stratageme propagandistice menite să apere în sfera mediatică establishment-ul comunist: (a) supradimensionarea taberei proprii, respectiv deprecierea adversarului; (b) prezentarea lacunară sau abstractizantă a faptelor; (c) decontextualizarea; (d) mistificarea. În ciuda „virtuozității“ de care au dat dovadă ziariștii, aceste stratageme propagandiste nu au dat rezultatele scontate, în primul rând din cauza faptului că regimul ceaușist nu controla perfect mediul informațional din țară. Cetățenii români puteau corobora informațiile oficiale din „Scînteia“ cu informațiile obținute de la Europa Liberă, Vocea Americii, posturile radio și TV din țările vecine. Cea mai întristătoare concluzie este însă aceea că articolele din „Scînteia“ au creat pentru România regimului Ceaușescu imaginea unei fortărețe a ortodoxiei socialiste. Până în ultima zi a regimului comunist din România (22 decembrie 1989), publicația „Scînteia“ s-a dovedit a fi organul de presă obedient al Partidului Comunist Român, partid aflat în cea mai dogmatică și inflexibilă perioadă de viață. Nu este de mirare, în aceste condiții, că sfârșitul regimului Ceaușescu a însemnat sfârșitul Partidului Comunist Român și sfârșitul ziarului „Scînteia“. (shrink)

În toată perioada celui de Al Doilea Război Mondial, serviciile secrete române au colectat informații privind localizarea unităților germane în țară. Ofițerii din grupul conspirativ pentru întoarcerea armelor împotriva Germaniei sporesc numărul unităților românești prezente în capitală, pentru a putea face față germanilor. O misiune interaliată clandestină a fost parașutată în București și găzduită în secret de generalul Constantin Sănătescu. Urmare a succesului ofensivei germane pe aliniamentul Iași-Chișinău, grupul conspirativ a decis accelerarea pregătirilor. Pe 20 august, Mihai I și grupul (...) de militari din conspirație au stabilit data acțiunii pentru 26 august. În noaptea de 21 august, în secret, membrii opoziției și-au dat acordul pentru această dată. Aflând însă că mareșalul Antonescu intenționa să se întoarcă pe front în 24 august, Regele Mihai s-a văzut obligat să modifice data pentru 23 august 1944. -/- DOI: 10.13140/RG.2.2.22256.12808. (shrink)

O sintagmă revine recurent, cel puţin în prima parte a cărţii, „conștiinţă feministă”. Legat de aceasta, constatările Lilianei Popescu, conferenţiară universitară și prorectoră la Școala Naţională de Studii Politice și Administrative (SNSPA), mi-au confirmat câteva intuiţii despre felul în care s-a produs transformarea politică a societăţii românești în ultimele trei decenii. „Coagularea conștiinţei feministe în ţara noastră după anul 1990 – susţine autoarea – s-a făcut mai ales prin adoptarea tradiţiei feminismului occidental. În același timp, trebuie remarcat faptul că, înainte (...) de anul 1990, în societatea socialistă existau elemente implicite și explicite de afirmare a egalităţii de gen: educaţia era deschisă atât tinerilor, cât și tinerelor; oportunităţile de muncă erau accesibile atât bărbaţilor, cât și femeilor; statul socialist oferea facilităţi tinerelor mame, concedii maternale, creșe, grădiniţe, iar la întoarcerea din concediul de creștere a copilului, serviciul era asigurat. Multe dintre societăţile occidentale au luptat din greu pentru obţinerea acestor drepturi. (…) Consider că în conștiinţa feministă de după 1990 s-a pus un accent supradimensionat pe principiile și pe practicile feministe venite dinspre Vest și s-a subestimat propria noastră moștenire din perioada socialistă, care era valoroasă și merita preţuită. Este suficient să ne gândim la scăderea dramatică a cifrei de reprezentare a femeilor în parlamentele formate începând cu 1990. Practic, reprezentarea femeilor a scăzut de aproape 10 ori – de la peste 30% la 4%” (p. 52-53). (shrink)

Many people appear to attach great value to sad music. But why? One way to gain insight into this question is to turn away from music and look instead at why people value sad conversations. In the case of conversations, the answer seems to be that expressing sadness creates a sense of genuine connection. We propose that sad music can also have this type of value. Listening to a sad song can give one a sense of genuine connection. We then (...) explore the nature of this value in two experimental studies. The results suggest a striking relationship between music and conversation. People see something distinctively musical in works that express precisely those emotions that they think most create connection within conversation. (shrink)

Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons based on (...) their quality, evaluate the model's performance, compare it to traditional machine learning approaches, and identify key factors that affect the model's performance. The dataset used in the study consists of approximately 2533 images of lemons and an empty surface, divided into training, test, and validation data, and includes images of both good and bad quality lemons under different lighting conditions. The deep learning model achieved an accuracy of 99.74% on the test dataset and outperformed traditional machine learning approaches. The developed model has the potential to improve efficiency and accuracy in lemon quality control in the agriculture and food industry. (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)

Стаття продовжує цикл опитувань, метою яких було з’ясування факторів впливу на вибір мови в білінгвальному середовищі. В аналізованому опитуванні, проведеному у Вінниці та Вінницькій області, охоплено 560 старшокласників віком 14–17 років. Результати анкетування дали змогу зробити висновки про психологічні чинники, що впливають на респондента, який перебуває в двомовному середовищі.

Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. The dataset (...) used in this study comprises chicken images of three different diseases: Newcastle disease, avian influenza, and infectious bursal disease. The proposed method achieved an overall F1-score of 99.04% in classifying the chicken diseases. The results demonstrate the effectiveness of using CNN in classifying chicken diseases and provide a promising approach for early detection and diagnosis of poultry diseases. (shrink)

Abstract: Fish are important for both nutritional and economic reasons. They are a good source of protein, vitamins, and minerals and play a significant role in human diets, especially in coastal and island communities. In addition, fishing and fish farming are major industries that provide employment and income for millions of people worldwide. Moreover, fish play a critical role in marine ecosystems, serving as prey for larger predators and helping to maintain the balance of aquatic food chains. Overall, fish play (...) a vital role in supporting human well-being and the health of our planet. . Fishes have a lots of types such that: Red Mullet, Sea Bass, Striped Red Mullet and Shrimp. Each of them has its own shape and characteristics that differ from other types. We proposed a system that recognize nine types of fishes using deep learning. We trained the model with a dataset that contain 9000 images that were slit into 6300 images for training, 1350 for validation and 1350 for testing. The proposed model achieved accuracy (99.68%), precision (99.69%), recall (99.68%), and f1-score (99.68%). This indicates that our proposed model can effectively predicate and classify different types of fish with very high accuracy. (shrink)

Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the F1-score (...) 100.0%. However, the best classifier with balanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%, Recall 100.0% and the F1-score 100.0%. (shrink)

Abstract: Classifying sea animals is an important problem in marine biology and ecology as it enables the accurate identification and monitoring of species populations, which is crucial for understanding and protecting marine ecosystems. This paper addresses the problem of classifying 19 different sea animals using convolutional neural networks (CNNs). The proposed solution is to use a pretrained MobileNetV2 model, which is a lightweight and efficient CNN architecture, and fine-tune it on a dataset of sea animals. The results of the study (...) show that the fine-tuned MobileNetV2 model is able to achieve an accuracy of 85% on the classification task, which is competitive with the state-of-the-art methods. Additionally, the study also found that data augmentation and regularization techniques such as dropout were important for preventing overfitting and improving the performance of the model. This study demonstrates the potential of using pretrained models and efficient CNN architectures for classifying sea animals, and it provides insights into the challenges and best practices for solving this important problem in marine biology and ecology. (shrink)

Abstract: Fast food refers to quick, convenient, and ready-to-eat meals that are usually sold at chain restaurants or take-out establishments. Fast food is often criticized for its unhealthy ingredients, such as high levels of salt, sugar, and unhealthy fats, and its contribution to the growing obesity epidemic. Despite this, fast food remains popular due to its affordability, convenience, and widespread availability. Many fast food chains have attempted to respond to these criticisms by offering healthier options, such as salads and grilled (...) chicken sandwiches, and by using more natural and locally sourced ingredients. The aim in this paper to propose a deep learning model for the classification of fast food dishes. The proposed model, Xception, was trained on natural images and was fine-tuned to make up the fast food meals. The researchers collected the Fast Food V2 dataset from Kaggle depository, the dataset, contained 20,000 images. The dataset has ten labels of food images comprised of Baked Potato, Burger, Crispy Chicken, Donut, Fries, Hot Dog, Pizza, Sandwich, Taco, and Taquito. The dataset was split into three sets: training, validation and testing. The accuracy, F1-score, recall, precision on the separate test set showed that classification of fast food was accuracy (95.13%), Precision (95.34%), Recall (95.13%), and F1-Score (95.14%). (shrink)

Abstract: In this study, we explore the challenge of identifying and preventing diseases in apple trees, which is a popular activity but can be difficult due to the susceptibility of these trees to various diseases. To address this challenge, we propose the use of Convolutional Neural Networks, which have proven effective in automatically detecting plant diseases. To validate our approach, we use images of apple leaves, including Apple Rot Leaves, Leaf Blotch, Healthy Leaves, and Scab Leaves collected from Kaggle which (...) is part from the Plant Village dataset. We generate a comprehensive training dataset using techniques such as image filtering, compression, and generation. Our model achieves impressive accuracy scores for all classes, with an overall accuracy of 99.93% on a dataset of 10,000 labeled images . (shrink)

Abstract: Tomatoes are among the most popular vegetables in the world due to their frequent use in many dishes, which fall into many varieties in common and traditional foods, and due to their rich ingredients such as vitamins and minerals, so they are frequently used on a daily basis, When we focus our attention on this vegetable, we must also focus and take into consideration the diseases that affect this vegetable, a deep learning model that classifies tomato diseases has been (...) proposed. The aim of this paper is to diagnose tomato diseases based on a dataset containing 11000 picture and 11 classes. The model gave the final accuracy test with Accuracy (99.87%), F1-score (99.87%), Recall (99.87%), and Precision (99.88%) in an estimated time 1.36 second, as with these results it proved its effectiveness and good ability in the classification of the testing data. (shrink)

Academic excellence and intelligence are commonly lauded as commendable attributes synonymous with success. However, a disconcerting trend has surfaced within educational institutions, challenging the prevailing narrative of scholastic accomplishment—smart shaming. This research delves into the increasing concern of smart shaming within educational settings, particularly at Immaculate Conception College of Balayan, Inc., questioning the predominant emphasis on academic excellence and intelligence. A qualitative case study design, along with judgmental sampling, was employed to examine fifteen (15) student leaders who had experienced smart (...) shaming on campus. Thematic analysis revealed that sarcastic remarks including "edi wow," "Okay ikaw na matalino," "bidabida," and "sipsip" were a prevalent manifestation of smart shaming, adversely affecting emotional well-being, academic and leadership prowess, mental health, and self-perception. Coping mechanisms, predominantly centered around ignoring and focusing on goals, were identified. The findings underscore the imperative for educators to remain vigilant regarding instances of smart shaming in classrooms, promoting open communication to ensure student well-being. Additionally, guidance counselors play a pivotal role in aiding students in effectively navigating the repercussions of smart shaming. This study advocates for proactive programs and interventions to address and alleviate the deleterious effects of smart shaming on students. (shrink)

Abstract: Forests are areas with a high density of trees, and they play a vital role in the health of the planet. They provide a habitat for a wide variety of plant and animal species, and they help to regulate the climate by absorbing carbon dioxide from the atmosphere. While in 2010, the world had 3.92Gha of forest cover, covering 30% of its land area, in 2019, there was a loss of forest cover of 24.2Mha according to the Global Forest (...) Watch institute. Discovery and classification depend on human experience and effort, so the error in the results of this process can lead to forest fires and disasters. Therefore, deep learning algorithms from artificial intelligence and machine learning sciences have been applied to help specialists avoid false or inaccurate diagnoses when detecting Forest fires in images using a pre-trained convolutional neural network called VGG16. The model was customized to fit the Forest fires classification and then applied to a dataset consisting of (14,000) of the Forests collected from the Kaggle depository. We trained, validated, and tested the modified VGG16 model. The proposed VGG16 model obtained Precision (99.96%), Recall (99.96%), and F1-Score (99.96%). (shrink)

Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...) Belt" due to its extensive corn production. Corn crops can be grown using a variety of methods, including conventional tillage, no-till farming, and the use of genetically modified crops. Due to its importance, there is a need for discovering the corn diseases and treating them. The aim of this study is to propose a deep learning model for the classification of corn leaf diseases based on Convolutional Neural Network. A model for classifying maize diseases was developed using a dataset for classifying Corn diseases that contains 4 classes of disease. The dataset was collected from Keggel website. The proposed model was trained, validated, and tested. The F1-score (99.83%), Recall (99.83%), precision (99.83%), Accuracy (99.83%). (shrink)

Abstract: Context: grapevine leaves are an important agricultural product that is used in many Middle Eastern dishes. The species from which the grapevine leaf originates can differ in terms of both taste and price. Method: In this study, we build a deep learning model to tackle the problem of grape leaf classification. 500 images were used (100 for each species) that were then increased to 10,000 using data augmentation methods. Convolutional Neural Network (CNN) algorithms were applied to build this model (...) specifically using the pre-trained model on top of the VGG16 architecture. Then, dense layers were added to classify the output of the Convolutional layers and classify outputs to the five classes (species) the leaf belonged to. Results: It was found that feature extraction without fine-tuning the convolutional layers yielded poor results, about 86% accuracy, while training the whole network along with some data preprocessing gave the best results, about 99.45% accuracy on the testing dataset. Conclusions: The proposed CNN model is an effective one for the problem of classification of grape leaf species. (shrink)

This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming. The system presents the topic of Introduction to Oracle with automatically generated problems for the students to solve. The system is dynamically adapted at run time to the 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. (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)

Abstract: Vegetables are an essential component of a healthy diet and play a critical role in promoting overall health and well- being. Vegetables are rich in important vitamins and minerals, including vitamin C, folate, potassium, and iron. They also provide fiber, which helps maintain digestive health and prevent chronic diseases. We are proposing a deep learning model for the classification of vegetables. A dataset was collected from Kaggle depository for Vegetable with 15000 images for 15 different classes. The data was (...) preprocessed, normalized and split into three sets (train, valid, test). The proposed model was trained and validated using the train and valid sets and accuracy of both training and validation was very high. For the evaluation of the proposed model we utilized these metrics: accuracy, F1-score, precision, Recall and time required for testing. We then tested the proposed model using the test set. The result of the testing was accuracy (99.95%), F1-score (99.95%), precision (99.95%), Recall (99.95%) and time required for testing the test set was 1.38 seconds. (shrink)

A evolução da seleção genética de aves e suínos proporcionou aumento no crescimento muscular e no desempenho produtivo, bem como na produção intensiva. Os premixes proporcionam ingredientes, como vitaminas e minerais que são essenciais para o crescimento muscular, redução do estresse, eficiência de diversos metabolismos e o bem-estar animal, contribuindo para uma produção mais sustentável. Deste modo, os premixes desempenham um papel fundamental na otimização do desempenho produtivo e reprodutivo de aves, equinos e suínos. Para formular uma dieta balanceada é (...) necessária a inclusão de vitaminas e minerais, os quais são inseridos em baixas concentrações, em função disto é necessário incluí-los por meio de premix para garantir uma boa homogeneidade dos microingredientes na ração. Os premixes podem ser classificados como: ➢ Vitamínicos, ➢ Minerais e ➢ Minerais-vitamínicos ➢ e conter aminoácidos, antibióticos ou enzimas. (shrink)

Queer Death Studies (QDS) refers to an emerging transdisciplinary field of research that critically and (self) reflexively investigates and challenges conventional normativities, assumptions, expectations, and regimes of truths that are brought to life and made evident by death, dying, and mourning. Since its establishment as a research field in the 1970s, Death Studies has drawn attention to the questions of death, dying, and mourning as complex and multifaceted phenomena that require inter- or multi-disciplinary approaches and perspectives. Yet, the engagements with (...) death, dying and mourning, constitutive of conventional Death Studies’ investigations, tend to remain insufficient and reductive. They are often governed by the normative notions of: the subject; bonds between humans, as well as between humans and (their) animals; family relations and communities; rituals; and finally, experiences of grief, mourning, and bereavement. Moreover, these engagements are frequently embedded in constraining beliefs in life/death divides, constructed along the lines of conventional religious and/or scientific mind/body dualisms, characteristic of the Western cultural imaginaries. Against this background, QDS offers a site for ‘queering’ traditional ways of approaching death both as a subject of study and philosophical reflection, and as a phenomenon to articulate in artistic work or practices of mourning. Here, the notion of ‘queer’ conveys many meanings. It refers to researching and narrating death, dying, and mourning in the context of queer bonds and communities, where the subjects involved/studied/interviewed and the relations they are involved in are recognised as ‘queer’. Simultaneously, the term ‘queer’ can also function as an adverb and a verb, referring thus to the processes of going beyond and unsettling (subverting, exceeding) binaries and given norms, normativities, and constraining conventions. In other words, ‘queer’ becomes both a process and a methodology that is applicable and exceeds the focus on gender and sexuality as its exclusive concerns. (shrink)

The emphasis on evidence based medicine (EBM) has placed increased focus on finding timely answers to clinical questions in presence of patients. Using a combination of natural language processing for the generation of clinical excerpts and information theoretic distance based clustering, we evaluated multiple approaches for the efficient presentation of context-sensitive EBM excerpts.

The truth of every human being is the end his life with death, and this leads to leaving assets and funds for those after him and can lead to hate between the heirs, it has made a point of Islamic law on all aspects of life, including the subject of the inheritance of the deceased. The main problem is how to get the knowledge of the basics of inheritance. This paper reviews work done in the use of expert system software (...) to calculate inheritance in Islam. A proposed expert system was designed and developed using CLIPS language to calculate the inheritance in Islam. (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)

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)

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)

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)

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)

Brain tumors pose significant challenges in modern healthcare, with accurate and timely diagnosis crucial for determining appropriate treatment strategies. Artificial intelligence has made significant advancements in recent years. Rule-based expert systems (if-then rule-based systems) have emerged as a promising approach for clinical decision-making in brain tumor diagnosis. In this paper, we present "A CLIPS-Based Expert System for Brain Tumor Diagnosis," which leverages a set of 14 if-then rules to diagnose brain tumors with three possible outcomes: 1) Confirm the diagnosis of (...) a brain tumor, 2) Consider the possibility of a brain tumor that has metastasized, and 3) Consider the possibility of a brain tumor. Our expert system offers a user-friendly interface, enabling users to select symptoms and receive a diagnosis based on the provided information. This paper discusses the expert system's development, implementation, and evaluation, highlighting its potential to facilitate brain tumor diagnosis and decision-making in clinical settings. Additionally, we provide a literature review that contextualizes our expert system within the broader landscape of rule-based expert systems for brain tumor diagnosis, examining their effectiveness, limitations, and challenges. (shrink)

In this paper we show how a student can learn the basics of the system databases using (W3school CSS) which was built as intelligent tutoring educational system by using the authoring tool called (ITSB). The learning material contains CSS and HTML. We divided the material in a group of lessons for novice learner which combines relational system and lessons in the process of learning. The student can learn using example of CSS, and types of CSS color. Furthermore, the intelligent tutoring (...) system supports not only lessons; but exercises of different difficult levels for each lesson. When a student finish successfully the first difficulty level in a lesson, the student is allowed to move to the next difficulty level of the exercises of the lesson. (shrink)

Abstract: Colon cancer is a prevalent and life-threatening disease, necessitating accurate and timely diagnosis for effective treatment and improved patient outcomes. This research paper presents the development of a knowledge-based system for diagnosing colon cancer using the CLIPS language. Knowledge-based systems offer the potential to assist healthcare professionals in making informed diagnoses by leveraging expert knowledge and reasoning mechanisms. The methodology involves acquiring and structuring medical knowledge specific to colon cancer, followed by the implementation of a knowledge- based system using (...) CLIPS. The system's design integrates relevant medical databases and employs advanced reasoning mechanisms to facilitate accurate diagnosis. Evaluation results demonstrate the system's effectiveness, with high accuracy and sensitivity rates compared to existing methods. The findings highlight the potential of knowledge-based systems in improving clinical practice and patient care. The research contributes to the growing field of medical informatics by demonstrating the feasibility and effectiveness of CLIPS-based knowledge systems for colon cancer diagnosis. Future research can focus on enhancing system performance and expanding its scope to encompass other types of cancer diagnoses. (shrink)

This study presented the policy of functional integration of the product planning team as a strategy for the development of the pharmaceutical industry in Palestine. The study population consists of all the workers in companies operating in the field of medicine in Palestine, which are (5) companies producing in the West Bank only for pharmaceuticals used by these companies, which are (296) employees, and was used a simple random sample to choose the sample and size (87) employees of the study (...) population, and to achieve the objectives of the study (87) questionnaires were distributed. The descriptive analytical method was used, and SPSS was used to answer and discuss the study's questions. The results showed that there is a significant relationship between the effectiveness of the policy of product development and the competitiveness of pharmaceutical companies in Palestine (West Bank), where the policy of product development efficiency accounts for 56.6% of the total change in the competitiveness of companies. The product quality component was most influential at all levels of product development effectiveness policy, followed by product identification, product cost reduction, packaging and product deletion. The weakest areas of strategic direction in pharmaceutical companies in Palestine (West Bank) are 67%. The weakest aspects of job integration are: non-regular meetings of representatives of different positions to participate in any project related to product development, to achieve spatial convergence of members of the product planning policy team in offices, laboratories and workplaces. (shrink)

Abstract: Artificial Intelligence (AI) is rapidly becoming a cornerstone of modern healthcare, offering unprecedented capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper explores the transformative impact of AI on the healthcare sector, examining how it enhances patient outcomes, improves the efficiency of medical practices, and introduces new ethical and operational challenges. By analyzing current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, this paper highlights the significant advancements AI has brought to the (...) field. However, the integration of AI also raises concerns related to data privacy, algorithmic bias, and the displacement of healthcare professionals. This study provides a comprehensive overview of these developments, offering insights into the future potential of AI in revolutionizing healthcare while addressing the ethical considerations that must accompany its adoption. The findings suggest that while AI holds the promise of transforming healthcare delivery, careful consideration of its implications is essential to ensure equitable and effective implementation. (shrink)

The study aimed at identifying responsive flexibility and its role in improving service quality, from the point of view 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 the researchers used the comprehensive survey method, and the number of the study population was (536) single, where (434) questionnaires were retrieved, and the recovery rate was (80.97%). The study showed (...) many results, the most important of which were: The presence of moderate degree of approval by the study sample on the responsive flexibility, as it was evident through the response flexibility field obtaining a relative weight (60.50%), and the results of the study indicated that there is a high degree of approval by the members of the study sample. On the quality of service, as it was evident through the field of service quality obtaining a relative weight (79.90%). The results of the study revealed a statistically significant relationship between responsive flexibility and service quality in non-governmental hospitals in Gaza Strip, with a correlation coefficient of 0.418, and the results of the study revealed a statistically significant effect between responsive flexibility and service quality in non-governmental hospitals in Gaza Strip. The study reached many recommendations, the most important of which were: Finding mechanisms by which stored information can be used to enhance the decision-making process, and setting up 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 abuse With the complaints that they submit, and working 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, and updating the standards related to measuring the services provided to patients continuously, based on On patients' suggestions and complaints, developing facilities in hospitals, as well as updating medical devices and equipment used in hospitals periodically. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...) paper addresses the challenges faced in AI-driven medical imaging, including data quality, model interpretability, and ethical considerations. By examining recent advancements and real-world case studies, this paper provides insights into the current state of AI in medical imaging and its potential future directions. The findings highlight the ongoing evolution of AI technologies and their crucial role in advancing medical diagnostics and treatment strategies. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...) face when adopting AI, such as data privacy concerns, integration difficulties, and the need for skilled professionals. The paper concludes by offering recommendations for successfully implementing AI solutions to maximize benefits while mitigating potential challenges. (shrink)

Abstract: Artificial Intelligence (AI) is transforming the agricultural sector, enhancing both productivity and sustainability. This paper delves into the impact of AI technologies on agriculture, emphasizing their application in precision farming, predictive analytics, and automation. AI-driven tools facilitate more efficient crop and resource management, leading to higher yields and a reduced environmental footprint. The paper explores key AI technologies, such as machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...) it discusses challenges like data privacy, barriers to technology adoption, and the ethical implications of AI in farming. Integrating AI into agricultural practices holds the promise of greater efficiency and sustainability, paving the way for future innovations. (shrink)

Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on and (...) take into account the diseases that harm it. The aim of this paper is to diagnose tea diseases based on a dataset containing 8000 picture and 8 classes .The model gave the final accuracy test with an F1-score of 99.41% in an estimated time 3 second, as with these results it proved its effectiveness and good ability in the classification test. (shrink)

Abstract: Networking is one of the most important areas currently used for data transfer and enterprise management. It also includes the security aspect that enables us to protect our network to prevent hackers from accessing the organization's data. In this paper, we would like to learn what the network is and how it works. And what are the basics of the network since its emergence and know the mechanism of action components. After reading this paper - even if you do (...) not have a general background on networking - you will be able to manage your own network and be able to distribute and control your ip. (shrink)

Abstract: This study aims to identify the level of creativity in the University of Palestine from the point of view of the employees, as the researchers used the descriptive and analytical method, through a questionnaire distributed to a sample of employees at the University of Palestine, where the size of the study population is (234) employees, and the size of the sample (117) employees, of which (90) employees responded. The study reached a set of results, the most important of which (...) are: A high degree of creativity from the employees 'point of view, and the study confirmed that there were no differences in the level of creativity at the University of Palestine from the Employees point of view, according to demographic variables. The study presented a set of recommendations, the most important of which are: The need for universities to enhance creativity. (shrink)