عائشة مذكور, قاسي سي يوسف

كلية الحقوق والعلوم السياسية-جامعة اكلى محند أولحاج - البويرة · الجزائر

تحظى العقود الإلكترونية في التشريع الجزائري -باعتبارهاأسلوبا حديثا ومميزافي التعاقد فرضته الثورة المعلوماتية المعاصرة-، بالحماية الجنائية المطلوبة سواء من الناحية الموضوعية أو الإجرائية.تجسدت الحماية الموضوعية -أساسا-من خلال حماية نظام المعالجة الآلية انطلاقا من كونه الوسيلة الأساسية لإبرام العقد الإلكتروني،وذلك عن طريق تجريم الدخول إلى هذا النظام أو البقاء فيه عن طريق الغش. وحماية المعلومات المتبادلة في إطار التعاقد الإلكتروني،وذلك عن طريق تجريم التلاعب العمدي بتلك المعلوماتوالتعامل في معلومات غير مشروعة.أما الحماية الإجرائية فتظهر -خصوصا-من خلال تنظيم المشرع للوضع القانوني لبعض الإجراءات التقليدية في البيئة الإلكترونية، والمتمثلة أساسا في التفتيش والضبط،وذلك حتى تكون أكثر قدرة على مواجهة جرائم الاعتداء على العقود الإلكترونية. واستحداث إجراءات حديثة تتماشى وطبيعة الاعتداءات الماسة بهذه العقود والبيئة الرقمية التي تقع فيها والتي تنوعت بين إجراءات تخص البيانات المتحركة (اعتراض المراسلات السلكية واللاسلكية ومراقبة الاتصالات الإلكترونية) وأخرى تتعلق بالبيانات الساكنة (التحفظ على البيانات المخزنة من طرف مقدمي الخدمات).

حنين تاميم عبد علي هاشم, ضمياء عباس حبيب

كلية علوم الحاسوب وتكنولوجيا المعلومات-جامعة كربلاء · العراق

The enormous amount of textual data available around the world, including articles and social media content, has gave the importance for media platforms such as Twitter to employ this data within gender classification. This is an interesting topic for many practical applications such as marketing, recommendation systems and cybercrime. Gender classification in text refers to the process of classifying individuals into one of two genders, male or female, typically based on observable linguistic characteristics. Natural language processing (NLP) has gained popularity in machine learning field. NLP techniques automatically apply gender classification by using linguistic and stylistic features. This leads to greater participation and satisfaction, improved customer support, and customized content delivery. The dynamic nature and huge vocabulary of the language makes it difficult to determine an author’s gender based on linguistic style, it has been a challenge, while the proposed feature extraction method has great importance in overcoming this problem and creating a precise distinction between males and females.The aim of this thesis is to improve gender classification accuracy based on her/his linguistic style in general domain dataset and specific domain dataset. To achieve this aim, extracting gender textual nuances using text similarity for gender classification improvement and three models have been applied. The first model was applied by three machine learning classifiers Random Forest (RF), Logistic Regression (LR) and Support Vector Machine (SVM) to obtain gender labels and prediction probabilities of them. The second model was applied through the pre-used successful structures of the CNN models to get gender labels and their probabilities. Finally, linear combination mechanism was used by combining additional weights with the label probability results of the previous two models to compute the final prediction probability. The highest accuracy results of the two datasets (Twitter and TripAdvisor) were acquired. The machine learning model achieved 87.8% on Twitter, while it achieved 75.1% on Trip Advisor. The deep learning model obtained 89.1% on Twitter and 76.3% on TripAdvisor. Finally, the linear combination method achieved (89.6%, 77%) on Twitter and Trip Advisor respectively. The utilization of the suggested feature extraction technique was crucial in achieving superior outcomes in comparison to earlier researches. In addition, the fact that general domain dataset Twitter’s vocabulary is more diverse that helped us outperform Trip Advisor, a specific domain dataset with less accuracy because of its language related only to hotels and restaurants. In order to achieve the maximum accuracy feasible, the using of linear combination strategy utilizing deep learning and machine learning was very important.

ظهور أحمد أظهر, عبدالولي الشميري

جامعة البنجاب · باكستان

Affatato Saverio, Bouzid Said, Razika Ihaddadene

معهد البصريات والميكانيكا الدقيقة-جامعة فرحات عباس - سطيف1 · الجزائر

La réduction du taux d'usure dans les prothèses totales de hanche (métal / métal) est effectué par l’augmentant du diamètre des têtes fémorales ou la concentration en carbone de l’alliage. Le rôles combiné du diamètre et la composition en carbone est étudié expérimentalement avec trois configurations différentes (28, 32 et 36 mm) sur un simulateur de hanche durant deux millions de cycles (2MC) de marche et avec le sérum bovin comme lubrifiant. Les têtes (28 mm) et les cupules ( 36 mm ) sont été fabriquées en alliage CoCr à faible teneur en carbone (LC) tandis que le reste des têtes et des cupules sont à forte teneur en carbone (HC). L'analyse gravimétrique a montré que tous les couples présentent un comportement biphasique, le run-in durant le premier million de cycle suivi par la période de steady state. Pour les couples de 28 mm, les cupules (HC) ont montré un faible volume d'usure par rapport aux têtes (LC) avec une différence significative durant la phase steady state. Ce qui est en accort avec l’analyse de la rugosité et l'analyse par microscope SEM. La composition (LC) des têtes de 28 mm augmente la différence du volume d'usure entre les couples 28 et 32 mm, tandis que la composition (LC) dans les couples de 36 mm réduit la différence d'usure volumétrique entre les couples 32 et 36 mm. Aucune corrélation n'a été trouvée entre le jeu articulaire et l'usure totale à 1 MC et 5MC. Les paramètres de rugosité (Ra, Rt, Rq) de 32 mm des têtes sont en corrélation avec le volume d'usure totale. La rugosité totale Rt a montré un coefficient de régression exponentiel de 0,89, tandis que la rugosité moyenne Ra présente une valeur de 0,82 et la rugosité moyenne Rq un coefficient de 0,79

Djamel Bouchiba, Hafid Faci, Menaouar Kaddouri, Zahar Cherif

كلية العلوم-جامعة سعد دحلب - البليدة · الجزائر

باسم محمد عبيد فرحان الكبيسي, غازي خالد رحال العبيدي

كلية العلوم الاسلامية-جامعة بغداد · العراق

Samia Osman Yagoub, Salma Abdurahman Abdallah Fadul

كلية الدراسات العليا-جامعة السودان للعلوم والتكنولوجيا · السودان

Field and laboratoryexperiments were conducted during the winter season 2018-2019 at Demonstration FarmofWeed Science Center (WSC), Sudan University of Science and Technology.The objective of this study was to determine the effect of bio- fertilizers (Rhizobium, Mycorrhizae, and Effective Micro-organism (EM)on growth and yield of different two verities Sulem and Hudeba on faba bean (Vicia faba L.) infested by Orobanche. The laboratory experiment was determined thegermination %, growth and attached of Orobanche crenata in roots,Rhizotron Method was used. Evidenced study on laboratory obtained that % germination and growth of Orobanche was highly significant with 90% in control compared with less value in Mycorrhizae 25%.Treatments in field experiment were designed in Randomized Complete Block Design (RCBD) with spilt plot, replicated three times. The main plot consisted of eight treatments; (1.Rhizobium(R),2. Mycorrhizae (M), 3. Effective Micro-organism (EM) 4. Rhizobium and Mycorrhizea (R+M), 5. Rhizobium and Effective micro-organism,(R+EM) , 6. Mycorrhizea and effective micro-organism (M+ER), 7. Rhizobium, Mycorrhizea and Effective micro-organism(R+M+ER), and 8. control (C),) in doses of (5 ml / hole of Mycorrhizae and 5mg of Effective micro-organism /hole, and subplots consisted of two varieties faba bean; Hudeba and Sulem. (5mg ofOrobanche seeds were added/hole).The vegetative and reproductive growth parameters studied were plant height ,number of leaves , chlorophyll content, number of 50 % flowering,number of flowers/plant, number of Orobanche/plot, dry weight of Orobanche,fresh weight,dry weight, number of pods/plant, weight of pods/plant, number of seeds/pod, weight of seeds/plant, number of seeds/planthundred seed weight and yield(kg/ha) for faba bean.The results revealed significant difference between cultivars in; chlorophyll content at 60 DAS, dry weight of plant andSulem had the highest value also number of Orobanche appeared significantly in Sulem. Application of bio-fertilizers and their interaction as a general revealed good evidence in all treatments than control in vegetative and reproductive parameters Among treatments significant difference appear clearly in, number of leaves(at 54 DAS), number of flower after the 54 and 60 DAS, chlorophyll content at 45 and 60 DAS, dry weight, 50%flowering, number of seeds/pod and number of Orobanche appeared in field.The field experiment displayed the same laboratory result in germination %and number of Orobancheattached to faba bean; control was 3.62 and Mycorrhizae was 1.1.In interaction of varieties and treatments highly significant difference was appeared at 60 DAS in plant height and number of leaves in Sulem (EM).

Kamel Ben Saad, Ons Hamdoui

المدرسة الوطنية للمهندسين - تونس-جامعة تونس المنار · تونس

Abdelrahman Mohamed Ahmed Salih, Elnour Elamin Abdelrahman, Mutaman Ali A. Kehail

كلية الهندسة والتكنولوجيا-جامعة الجزيرة · السودان

Sesame (Sesamum indicum)is a flowering plant used for oil production. Radiation is one source known to make a degree of activation in plant growth and productivity. This study aimed to evaluate the effect of x-ray, gamma-ray and UV light on germination, growth , productivity parameters and oil quality of sesame. The experiment was conducted in the experimental farm, Faculty of Agricultural Sciences, University of Gadarif, July 2015. The sesame seeds were brought from Gadarif local market. sesame seeds were subjected separately to two treatments of X-ray (33.4 sec (LX) and 200.2 sec (HX), gamma ray (200 cGy (LG) and 800 cGy (HG)) and UV-light (for 30 min. (UV)). In addition to control, all irradiated seeds were grown at the same environmental conditions. Germination rates were counted for seven days, whereas the growth parameters (plant weight, height ,number of leaves, roots and branches) were recorded each 10 days till 60 days for three seasons (M1, M2 and M3). After maturation, capsule length and number of seeds, mean weight of 100 seeds were measured. seeds-oil was extracted in order to evaluate the quality characteristics of each treatment. The results of this study revealed that, growing sesame plants showed that, M3 was the most heavier (209 g), taller (133 cm) and more branched plants (10 branches/plant), also it had more roots (35 roots/plant), leaves (34 leaves/plant), capsules/plant (218), seed weight (0.0038 g) and seeds/capsule (91) and consequently high productivity (18040 kg/ha) followed by M1 and then M2. Germination rate were 49%, 78% , and 89% respectively in M1,M2 and M3. Average germination rate in HG was 77% followed by LG and UV (74%), HX (73%), LX (70%) and control (67%). Some of the physical and chemical parameters of sesame oil did not agreed with the standard limits (it mostly near to the minimum or maximum limits). Radiation enhanced growth and productivity of sesame compared to control. Further studies should be conducted in order to evaluate the effect of these sesame mutant on human before being recommended for consumption.

مريم تواتي, هلال رحمون

كلية العلوم الاقتصادية والعلوم التجارية وعلوم التسيير-جامعة الجزائر 3 - إبراهيم سلطان شيبوط · الجزائر

مدخل الى إدارة المعرفة و إدارة المعرفة في المؤسسة و عمليات إدارة المعرفة و نماذجها و التطرق الى مفهوم التسويق و أهميته و إدارة المعرفة و إدارة علاقات الزبون و إدارة المعرفة التسويقية كما تم تناول الابداع في المؤسسة و الابداع التسويقي و إبداع المنتج و أخيرا دراسة حالة عينة مؤسسات أنتاجية جزائرية.