الإصدار الثاني
الإصدار الثاني من المجلة العلمية لنشر البحوث
تم نشر الإصدار الأول من المجلة العميةلنشر البحوث في: 5-2 -2022م. يحتوي الإصدار على بعض الأبحاث في مختلف التخصصات، كما أن الإصدار قد تناول العديد من المشاكل البحثية المهمه التي تشكل أهمية وفائدة كبيرة للمجتمع العلمي والمعرفي. جميع الأبحاث متاحة للتحميل والتعقيب والاستشهاد المرجعي لكافة الباحثين والأكاديميين.
الأبحاث والأوراق العلمية:
دراسة الأخطاء اللغوية والإملائية الشائعة لدي مغردي تويتر دراسة لغوية تحليلية
الايميل : essa52395239@gmail.com
الملخص:
تأتي هذه الدراسة للكشف عن أبرز األخطاء اللغوية واإلمالئية الشائعة لدي مغردي تويتر دراسة لغوية تحليلية.تبعت هذه الد ارسة المنهج الوصفي التحليلي لمالئمته ألغ ارض هذا البحث، تكون مجتمع الدراسة من بعض التغريدات التي يستخدمها بعض المغردين على موقع تويتر والبالغ عددها 52 تغريده.
Potential Use of Alkali Activated Clay from Common Deposit for Removal of Methylene Blue Dye
Name : Faten Al-Slaty. Khalil Ibrahim, Sultan Fayez, Enas N. Mahmoud
Common clay deposits are widespread as sources of multiple clay minerals. They are less commonly used as a base material for geopolymers than pure clay deposits. This research aims to investigate the efficiency of removing methylene blue (MB) dye from aqueous systems using alkali-activated clay from a standard warranty. The main characters of the used deposit were examined using X-ray fluorescence (XRF), X-ray diffraction (XRD), and scanning electron microscope (SEM).
COVID-19 pandemic: The effect of COVID-19 on Small and Medium Sized Enterprises
Name: Heba Almkayed
COVID-19 has seriously affected the world economy. The outbreak of the disease has had a major influence on Small and medium-sized enterprises (SMEs). SMEs are the main victims of the COVID 19 outbreak. To survive and achieve their objectives in an increasingly competitive environment, small and medium sized enterprises have to increase their competitiveness and, progressively, reduce their operational cost. The purpose of this research is to evaluate COVID-19’s impact on those firms and provide policy recommendations that help SMEs reduce business losses and survive during the crisis.
Importance of Digital Trade and Economic Geography to Impacts On the Performance of Export (retail trade)
Abstract
I’ll be looking at how e-commerce affects international trading in this paper. The focus of the research is on whether or not the transition from offline to online platforms has any effect on the types of transaction that take place. In addition, the study focuses on the emergence of ecommerce in India as a case study and the resulting impact on the country. We want to know how digital trade affects export companies, among other things. In what ways may India’s ecommerce retail sector be bolstered? In spite of the current trade barriers, how might digital platforms help facilitate cross-border movement of products and services? Qualitative research is used in the study. Data will be gathered via secondary sources of information.
Dental and oral surgery
Examining the Art and Science of Dental Surgery: Looking Past the Smile
The practice of dental surgery in the vast field of dentistry exemplifies the extraordinary harmony between creative expression and scientific precision. Dental surgery is more than just a way to fix people’s smiles; it’s an intricate exploration of the human body, where expert precision and dexterity solve a wide range of dental problems.
When it comes down to it, dental surgery is all about pushing the envelope of traditional healthcare and entering a world where art and science come together. A combination of surgical skill and a keen awareness of anatomical complexities is required to navigate the complex network of nerves, tissues, and bones within the mouth. Surgeons are technically proficient and deeply committed to their patients’ well-being, and it shows in every incision and stitch (Pillai, S., et al. (2021).
Dental surgery is known for its technical expertise, but it is also known for its obsession with aesthetics. Restorative dentistry is about more than just fixing broken teeth; it’s also about creating beautiful, self-assured smiles. In this case, the surgeon takes on the role of an artist, meticulously molding shapes, aligning teeth, and balancing proportions to create smiles that are more than just practical; they are pieces of art .
Name : Ahmed Hussien A Al Rammadan
Name : Majid Wasel Almarhoon
Name : Hassan Wasel Ali Almarhoon
Name : Ali Radhi Alomran
Name : Hani Mohammed Taher Al Amer
Name : Jinan Ahmed Hirabah
Name : Munther Saleh Ahmad Alkhamees
Name : Jassim Khalifah Almari
Name : Neamah Hamad Al Jeadah
Name : Abdulrahman Mohsen Almalki
Name : Abdulrahim Ebrahim Alquaymi
Name : Ahmed Ali Alsaleem
Name : Haidar Abdullah Alsanawi
Name : Hani Abdullah Eissa Almajhad
Leveraging Artificial Intelligence And Machine Learning In Drug Development: Opportunities And Challenges
The introduction of artificial intelligence (AI) and machine learning (ML) has significantly transformed multiple sectors, including the pharmaceutical industry. AI and ML algorithms have great potential in speeding up the discovery and improvement of new drugs, improving the identification of targets, predicting interactions between drugs, and optimizing the design of clinical trials in drug development. This paper presents a thorough examination of the latest advancements in artificial intelligence (AI) and machine learning (ML) applications in the pharmaceutical field. The text examines diverse approaches, such as deep learning, reinforcement learning, and natural language processing, and emphasizes their usefulness in different phases of drug development. Moreover, the study examines the obstacles and restrictions linked to the incorporation of AI and ML in pharmaceutical research, encompassing difficulties related to data quality, regulatory matters, and ethical deliberations. This review tries to clarify the potential of artificial intelligence (AI) and machine learning (ML) in revolutionizing drug development processes, while also addressing the obstacles to their broad use..
Keywords : Artificial intelligence, machine learning, drug development, deep learning, target identification, clinical trial optimization, drug discovery, predictive modeling.