بحثنا الموسوم بـ (الأغلاط اللغوية في كتاب الإنسان الثاني لمحمود عباس العقاد دراسة في ضوء كتب التصحيح اللغوي الحديثة)، ليس الغاية منه النيل من شخص كاتب كبير، وعلم من أعلام الأدب العربي، بل اعتماد الموضوعية والرد على القول الشائع: (الخطأ الشائع خير من الصواب الضائع)، إذ إِن كثيرًا ممن يسلكون درب الأغلاط اللغوية يعمدون الى التمسك بها محتجين بأن ما ورد في تعبيراتهم ورد في تعبيرات كتّاب كبار، فضلاً عن أن الباحثة ل

يهدف البحث الى دراسة وتحليل التمويل الأخضر كأحد المفاهيم الاساسية والحديثة في عالم الاعمال والاقتصاد العالمي وخاصة بعد الازمات والتحديات التي توالت على العالم نتيجة الكوارث الطبيعة وتغييرات المناخ والضغوطات على الموارد الطبيعية والتي أدت الى احداث اثرا كبيرا في اقتصاديات الكثير من الدول ، مما اضطرت الى إعادة النظر في مشاريعها وانشطتها الاستثمارية بما يوائم وطبيعة البيئة ومتغيراتها ، لذا تحتم اختيار لمثل

In recent years, the attention of the international community and intergovernmental and non-governmental organizations has grown into a new dimension of population displacement, called displacement within the country as a result of conflicts and the expansion of tacit groups, using sentences to describe such conflicts as "identity-based conflict", "ethnic conflict" "Sectarian conflict", in an attempt to determine the nature and characterization of those conflicts. In such conflict-stricken conditions, the value of a citizen - a person not directly involved in the conflict - is measured by the potential gains that that person has made to the conflicting parties, as civilians have been indirect victims of military operations, Favor

دور الذكاء الصناعي في تحقيق رضا الزبون وانعكاسه على محاسبة التكاليف بحث تطبيقي في شركة الصناعات الالكترونية

Dust is a frequent contributor to health risks and changes in the climate, one of the most dangerous issues facing people today. Desertification, drought, agricultural practices, and sand and dust storms from neighboring regions bring on this issue. Deep learning (DL) long short-term memory (LSTM) based regression was a proposed solution to increase the forecasting accuracy of dust and monitoring. The proposed system has two parts to detect and monitor the dust; at the first step, the LSTM and dense layers are used to build a system using to detect the dust, while at the second step, the proposed Wireless Sensor Networks (WSN) and Internet of Things (IoT) model is used as a forecasting and monitoring model. The experiment DL system

Significant advances in the automated glaucoma detection techniques have been made through the employment of the Machine Learning (ML) and Deep Learning (DL) methods, an overview of which will be provided in this paper. What sets the current literature review apart is its exclusive focus on the aforementioned techniques for glaucoma detection using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for filtering the selected papers. To achieve this, an advanced search was conducted in the Scopus database, specifically looking for research papers published in 2023, with the keywords "glaucoma detection", "machine learning", and "deep learning". Among the multiple found papers, the ones focusing

In this paper, a miniaturized 2 × 2 electro-optic plasmonic Mach– Zehnder switch (MZS) based on metal–polymer–silicon hybrid waveguide is presented. Adiabatic tapers are designed to couple the light between the plasmonic phase shifter, implemented in each of the MZS arms, and the 3-dB input/output directional couplers. For 6 µm-long hybrid plasmonic waveguide supported by JRD1 polymer (r33= 390 pm/V), a π-phase shift voltage of 2 V is obtained. The switch is designed for 1550 nm operation wavelength using COMSOL software and characterizes by 2.3 dB insertion loss, 9.9 fJ/bit power consumption, and 640 GHz operation bandwidth