الإصدار السابع عشر

الإصدار السابع عشر من المجلة العلمية لنشر البحوث

تم نشر الإصدار السابع عشر من المجلة العمية لنشر البحوث في: 1-6-2023م. 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:

مقومات الإبداع الإداري لدى القيادات الأكاديمية

الاسم: فاطمه علي محسن واصلي
الايميل:Yagot1223@gmail.com

الملخص

يهدف البحث إلى التعرف على مقومات الإبداع الإداري لدى القيادات الأكاديمية، ولتحقيق أهداف البحث تم استخدام المنهج الوصفي، وذلك من خلال إعداد استبانة وتوزيعها على عينة البحث وهم القيادات الأكاديمية بالجامعات بالمملكة العربية السعودية، وأظهرت نتائج الدراسة ما يلي: 1- وجود علاقة ذات دلالة إحصائية بين مقومات الإبداع الإداري والقيادات الأكاديمية عند مستوى دلالة (0.05)، مما يشير إلى أهمية مقومات الإبداع الإداري في رفع الكفاءة لدى القيادات الأكاديمية بالجامعات. 2- وجود دلالة إحصائية بين المتغيرات الديموغرافية (الجنس – المسمى الوظيفي – سنوات الخبرة) ومقومات الإبداع الإداري عند مستوى دلالة (0.05).

الكلمات المفتاحية: معوقات الإبداع الإداري – القيادات الأكاديمية

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Distribution of Blood Groups ABO and Rh Among Covid-19 Patients in Saudi

Name: MOHAMMED SAEED ALGHAMD

Name: Rashid saeed Alghamdi

Name:Ahmad Khalaf Saeed Alzhrani

Name: Bayan Mohammed Khider

Abstract

This research was conducted to better understand the ABO blood typing system. To better manage and treat diseases, researchers in Saudi Arabia performed case-control studies to examine the correlation between different blood groups and COVID-19.This research For a total of 10,000 patients, we looked into how ABO and Rh blood groups correlated with COVID-19 vulnerability. Participants were collected over the course of two years from all COVID-19 Examination Centers and Hospitals in the Saudi Arabian Province. Patients who met the inclusion and exclusion criteria were enrolled between January 2, 2020 and January 4, 2022. This study looked at numerous potential risk factors for dying from a COVID-19 infection in the Western Province of Saudi Arabia during the early phases of the pandemic. Those in our sample who reported experiencing COVID-19-related symptoms—including high body temperature, coughing, pneumonia, and respiratory distress syndrome—had a much increased risk of dying. The majority of people complained about these signs. The presence of preexisting renal or cardiovascular disease also worsened the prognosis of a COVID-19 infection and was associated with a greater mortality rate. These results highlight the need for early diagnosis and supportive treatment for patients with COVID-19 infection. Our study population had much higher frequencies of O+, A+, and B+ than the general population, however there was no correlation between the distribution of blood groups and an increased risk of death from COVID-19. Despite the fact that certain blood groups were much more common, this was the case. Thus, larger-scale studies are needed to examine the correlations between blood types and the severity of COVID-19 infection.

Keywords : Distribution of Blood Groups, Blood Groups ABO and Rh, Covid-19 Patients in Saudi.

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Name : BANIN ABDULLAH AL SALEM‏

Name : Zahra Mohmmed Al Hamoud

Name : ISRAA NASSER ALGHAFLI‏

Name : ABDULAZIZ ALI ALHUSSAIN‏

Name : Salman Mohammad Al Ramadan‏

Name : Ali Hussain Alsutan‏

Name : Majed Abdullah Alsaif

The degree to which nursing care meets the needs of patients

Abstract :
This study delves into the complex dynamics of nursing care delivery and how it affects the satisfaction of patients with varying requirements . It acknowledges the nursing profession’s key role in healthcare delivery , which includes not just technical competence but also compassionate communication and psychological support . Nursing care quality and patient satisfaction may be improved through patient-centered care models , organizational support structures , and ongoing quality improvement activities . This is demonstrated through a thorough literature analysis that the study employs. In order to properly attend to patients’ psychological , social , and physiological requirements , the results highlight the importance of emphasizing holistic and patient-centered care settings . Improved health outcomes and patient satisfaction can be achieved by healthcare organizations delivering more comprehensive and patient-centered nursing care through the use of evidence-based interventions and the promotion of collaborative partnerships between patients and healthcare providers.

Keywords : nursing care , patient satisfaction, holistic nursing theory , quality improvement theory , organizational support , evidence-based interventions , healthcare delivery .

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Name : Ahlam Mufleh Alrashedi general nursing
Email : ahlam134689@gmail.com
Name : Abdulmajeed aldakhail Xray
Email : imageed10@gmail.com
Name : Doaa Aloufi Xray
Email : dalofi@moh.gov.sa
Name : Raed Abdulmohsin Alzahrani Prince Salman bin Mohammed Hospital in Dalam, Riyadh First Health Cluster (Radiology)
Email : raed-alzahrani@hotmail.com
Name : Rashed Mohammed Alqahtani X-Ray technician
Email : Ras.350@hotmail.com
Name : Hassan Hussein Alsomali technician x ray
Email : Dr_hasan1405@hotmail.com

Artificial Intelligence in X-ray Image Analysis for Medical Diagnostics

Introduction :
The advent of AI has been revolutionary, and it has the ability to revolutionize many different sectors. One area where AI is already having a significant impact is healthcare, specifically in the area of medical diagnostics. Artificial intelligence (AI) shows great potential as a transformative technology to improve the precision, timeliness, and efficacy of medical diagnostics performed using X-rays. Systems driven by artificial intelligence can sift through mountains of X-ray imaging data, identify even the most minute anomalies, and offer light on the situation so doctors may make better clinical judgements.
A new approach to medical picture interpretation and analysis has emerged with the incorporation of artificial intelligence into X-ray-based diagnostics. Finding anomalies in X-ray scans has traditionally been a subjective and error-prone procedure that has depended on radiologists’ knowledge and visual examination. To counter this, AI-driven diagnostic tools can automate mundane operations, draw attention to problem regions, and provide quantitative measures and clinical insights, all of which can enhance radiologists’ diagnostic abilities (Shi, F., et al. (2020).

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Name : Hamad Heshan Almansour

Name : Mahdi Masaud Alkhomsan

Name : Mohammed Ali Almrdef

Name : Mohmmed Mana Alzamanan

Name : Saleh Mohmmed Aldaghman

Name : Ibrahim Azan Alkhreem

Name : Waleed Ali Alhaddad

Name : Hamad Mahdi Alzamanan

“Impact of Domestic Violence Exposure on Children: A Systematic Review”

Abstract:
The psychological effects of witnessing domestic violence are profound, with evidence indicating that up to 60% of children exposed to such environments exhibit symptoms of post-traumatic stress disorder (PTSD). The aim of this systematic review was to critically evaluate the existing literature to better understand the scope and magnitude of these impacts. This systematic review employed a comprehensive search strategy across multiple electronic databases, including PubMed, PsycINFO, Scopus, and Web of Science, focusing on interventional studies and clinical trials related to children exposed to domestic violence. The inclusion and exclusion criteria were strictly defined to select high-quality, relevant studies, followed by a meticulous screening and assessment process to ensure the inclusion of only the most pertinent research on the topic. The summarized results of the systematic review reveal that the interventions tested across six studies, with sample sizes ranging from 62 to over 1000 participants, showed significant effectiveness in various contexts. Cognitive -behavioral therapy (CBT) interventions, for example, led to a notable reduction in PTSD symptoms, achieving a risk ratio (RR) of 0.7 with a confidence interval (CI) of 0.5 to 0.9. Similarly, school-based interventions demonstrated improvements in academic performance and peer relationships with a RR of 0.6 (CI: 0.5 to 0.7), while family therapy interventions resulted in significant enhancements in family functioning and child behavioral outcomes, with a RR of 0.4 (CI: 0.2 to 0.6). These findings underscore the varied and significant impact of targeted interventions on children exposed to domestic violence. This systematic review highlights the effectiveness of various interventional approaches in mitigating the impacts of domestic violence exposure on children. Cognitive-behavioral therapy emerged as particularly effective in reducing PTSD symptoms and anxiety.

Keywords: Domestic Violence, Children, Cognitive-Behavioral Therapy, Family Therapy, Intervention.

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الإصدار السابع عشر