bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantification of the Water Content of Human Intervertebral Discs in Various Regions and Conditions
Authors: Al-Abbasi Maan , Al-Rubai Abdal-Jabbar Falih , Assi Mohammed Hussein
Published: April 2024

Background: Intervertebral disc (IVD) water is a basic factor for modeling tissue growth and nutritional diffusion and its amount is directly related to the development of degenerative processes. Objective: direct assessment of human IVD water contents in different disc regions in correlation to age and disc degeneration processes. Methods: 103 IVD samples that were taken from 30 cadavers underwent a lyophilization process to assess their water contents. The results were tabulated and tested statistically in relation to different parameters, including gender, age, spinal level and degeneration grading. Results: This study reveals that the water content was significantly lower in the group whose age was more than the median age (83 years) when compared with the group whose age was less than the median age. Additionally, the study shows that the water content is dramatically and significantly reduced in individuals who have degenerative changes. Conclusions: The water content of the intervertebral disc directly correlates with age and the degeneration process, decreasing as age and degeneration progress.
Perception of Inclusion and Attention to Diversity in Initial Teacher Training
Authors: Santur- Robledo Elizabeth Consuelo , Grande-Ocaña Laura Elena , Campos-Ugaz Osmer Agustín , Hernández Ronald M. , Saavedra-López Miguel A. , Calle-Ramírez Xiomara M.
Published: April 2024

The objective of the study was to determine the perception that undergraduate students have about inclusion and attention to diversity. A non-experimental design research of comparative descriptive level was carried out with a sample of 203 students of the professional career of Education. Data collection was obtained through the application of the scale of perceptions about inclusion and attention to diversity, taken from Cardona and Paz, 2012 version, which has validity and reliability. The results obtained indicate that students have a favorable perception of inclusion and attention to diversity; they agree with the approaches to inclusion but consider that the formative content they have been receiving in their initial training is insufficient. It is concluded that it is necessary to strengthen the curricula of the study programs with respect to inclusion and attention to diversity from an integral and transversal approach.
ADAPTIVE PROCESS MANAGEMENT USING DEEP LEARNING ON A PROGRAMMABLE LOGIC CONTROLLER (PLC)
Authors: Agdavletova A. , Madin V. , Salykova O.
Published: April 2024

In the era of Industry 4.0, the integration of advanced digital technologies into manufacturing processes has become paramount for enhancing operational efficiency and adaptability. This study introduces a groundbreaking approach to adaptive process management through the integration of deep learning algorithms within Programmable Logic Controllers (PLCs), thus addressing the limitations of traditional PLCs in dynamically adjusting to new operational conditions without manual intervention. By leveraging the inherent capabilities of deep learning for realtime data analysis and decision-making, this research develops a novel framework that enables PLCs to autonomously learn from process data, adapt control strategies in real-time, and optimize manufacturing operations. The methodology encompasses the design and implementation of deep learning models tailored for PLC environments, the development of a data-driven learning mechanism directly on the PLC, and a comprehensive evaluation of the system’s adaptability, efficiency, and performance in real-world industrial settings. The findings reveal significant improvements in process efficiency, reduction in downtime, and enhanced adaptability to changing operational conditions, demonstrating the potential of combining deep learning with PLC-based systems for fostering intelligent and flexible manufacturing processes. This study not only provides a viable solution to the challenges of static PLC programming but also opens new ways for research and development in smart manufacturing technologies, offering insights into the practical implications of deploying intelligent automation systems in Industry 4.0.
ПРОГРАММНАЯ РЕАЛИЗАЦИЯ МЕТОДИКИ ПРОВЕДЕНИЯ ИСПЫТАНИЙ И НАГРУЗОЧНОГО ТЕСТИРОВАНИЯ КОМПЬЮТЕРОВ
Authors: Бхат Ф. , Сейлова Н.А. , Покусов В.В.
Published: April 2024

На основе современных тенденций в области информационных технологий и компьютерных систем, предлагается методика проведения испы- таний и нагрузочного тестирования компьютеров с акцентом на создание графи- ческого пользовательского интерфейса (GUI) и реализацию системы мониторинга. Авторы подробно описывают разработку и внедрение двух ключевых компонентов методики: модуля определения комплектующих компьютера и системы монито-ринга его производительности. Модуль определения комплектующих обеспечивает автоматизированный механизм сбора информации о составляющих компьютера из различных источников, что позволяет более точно проводить тестирование в различных конфигурациях. Реализация графического пользовательского интерфейса для данного модуля упрощает взаимодействие пользователя с системой, предоставляя удобные средства взаимодействия и визуализацию результатов. Система мониторинга, в свою очередь, обеспечивает постоянное наблюдение за состоянием компьютера в режиме реального времени. Это включает в себя сбор, анализ и визуализацию данных о производительности, что позволяет оперативно реагировать на изменения и обеспечивает более глубокое понимание работы системы в процессе проведения тестов. В статье дается технический обзор создания этих компонентов, начиная от выбора технологий и архитектуры, заканчивая деталями по интеграции с основной системой тестирования. Особое внимание уделяется обработке данных, обеспечению стабильности и визуализации результатов, что служит ключевым ресурсом для исследователей, разработчиков и специалистов в области тестирования компьютеров, предоставляя подробный обзор практической реализации инструментария, необходимого для эффективного тестирования и мониторинга современных компьютерных систем.
ИССЛЕДОВАНИЕ ПРОИЗВОДИТЕЛЬНОСТИ И СРАВНИТЕЛЬНЫЙ АНАЛИЗ YOLO-NAS И ПРЕДЫДУЩИХ ВЕРСИЙ YOLO
Authors: Маратулы А. , Абибуллаев Е.А.
Published: April 2024

Исследование посвящено анализу производительности алгоритма обнаружения объектов YOLO-NAS (You Only Look Once – Neural Architecture Search) в сравнении с его предшественниками из семейства YOLO. Целью работы является оценка эффективности YOLO-NAS и выявление его преимуществ и недостатков по сравнению с предыдущими версиями алгоритма YOLO. Исследование проводится в нескольких ключевых аспектах производительности, включая скорость обработки изображений, точность обнаружения объектов, а также эффективность использования ресурсов вычислительной системы. Для достижения этих целей, используются стандартные наборы данных для обучения и тестирования алгоритмов обнаружения объектов. Методика исследования включает в себя разработку экспериментальной платформы, которая позволяет провести сравнительный анализ производительности YOLO-NAS и предыдущих версий YOLO на одинаковых условиях. Эксперименты проводятся на различных конфигурациях аппаратного и программного обеспечения, чтобы оценить адаптивность алгоритмов к разным условиям работы. Результаты исследования позволяют сделать выводы о преимуществах и недостатках YOLO-NAS по сравнению с предыдущими версиями YOLO в контексте производительности. Эти выводы могут быть полезны для разработчиков и исследователей в области компьютерного зрения при выборе наиболее подходящего алгоритма для своих задач.
ANALYSIS OF VOICE IMPERSONATION FRAUD: RISKS, CASES AND DEFENSE STRATEGIES
Authors: Pustovoitov P.S. , Seilova N.A.
Published: April 2024

The article provides analysis of the increasing menace posed by voice impersonation fraud in the era of digital technology. It emphasizes the progress achieved in DeepFake and Real-Time vocal Cloning (RVC) technologies, which made vocal impersonation not only feasible, but persuasive and easily accessible. The study examines some incidents in which modern technologies were employed for fraudulent purposes, emphasizing the gravity and potential ramifications of the offenses. The paper explores the difficulties encountered in identifying and thwarting voice impersonation fraud, analyzing the most recent advancements in cybersecurity and digital forensics designed to address this problem. The authors highlight the significance of creating strong defense plans and the necessity for continuous study in order to cope with quickly advancing technologies and discuss the ethical and legal consequences of voice impersonation, emphasizing the need for well-defined norms and ethical principles in the utilization of voice synthesis technologies.
Raikas tuulahdus suomalaisten ympäristöjen muutosten historiaan
Authors: Hannikainen Matti O.
Published: April 2024

Arvio teoksesta: Esa Ruuskanen, Paula Schönach & Kari Väyrynen (toim.): Suomen ympäristöhistoria 1700-luvulta nykyaikaan. Vastapaino 2021, 473 s. ISBN: 978-951-768-925-0
Sex-based Differences in Patient Perspectives and Experiences With Shoulder, Hip, and Knee Arthroplasty
Authors: Chi Hannah , Woolley Katherine A. , Allahabadi Sachin , Fluet Angelina , Roach Colin , Ward Derek T. , Wong Stephanie E.
Published: April 2024

Introduction:

Sex disparities in presentation of osteoarthritis and utilization of joint replacement surgery (JRS) have been demonstrated. The role of patients' unique perspectives on JRS on their treatment decisions is poorly understood.

Methods:

JRS candidates who were offered JRS but declined surgical treatment completed this survey. Survey questions included demographic information, patient experiences and current opinions around JRS, patient experiences with providers, goals and concerns, and barriers to JRS.

Results:

More women experience barriers to undergoing JRS compared with men (53% versus 16%; P = 0.014). While both men and women indicated pain relief as their primary goal for treatment, women were significantly more likely to prioritize regaining the ability to complete daily tasks and responsibilities when compared with men (P = 0.007). Both men and women indicated that low symptom severity and nonsurgical treatment options were the reasons for not undergoing JRS (P = 0.455). Compared with men, women trended toward feeling that they were not sufficiently educated about JRS (P = 0.051).

Conclusion:

Women have unique perspectives and goals for JRS that may pose sex-specific barriers to care. A better understanding of how patients' gendered experiences affect their decision making is necessary to improve treatment of osteoarthritis and decrease disparities in care.
Virtual reality painting: A structured review of a decade of innovation
Authors: Shi Yan , Lu Yiwen , Liu Lijuan , Liu Enmao
Published: April 2024

Various studies have widely utilized virtual reality (VR) in painting creation. However, there has been few conclusive studies on VR painting. The present systematic literature review describes the current state of knowledge and practices using VR in painting and provides guidance for painters and scholars focusing on human computer interaction design by critically appraising and summarizing the existing research. It also outlines a wide range of results yielded by quantitative, qualitative and mixed-method studies to investigate potential benefits, difficulties, and effectiveness of VR painting. Overall, 44 studies published from 2013 until 2023 were analysed, with 16 articles introduced the hardware technology and interaction mode of VR painting, 17 articles introduced the beautification method of VR painting, and 11 articles focused on the application of VR painting in different fields. Implications for practice and research are discussed in detail, as the hardware selection, interaction, and physical simulation in VR painting scenes.
Current Developments on the Application of Hydrogen in Industry: A Review
Authors: Nzerem Petrus , Oche Jacklyn , Sherrif Mohammed , Jakada Khaleel , Okafor Ikechukwu , Chior Joseph , Enwere Chinaza , Adeleke Adekunle
Published: April 2024

The worldwide transition in energy utilization to a society that is “carbon-neutral” demands a major revamp of power generating and distribution networks. Notwithstanding, in the great drive for the growth of renewable energy that is clean and environmentally safe, hydrogen's incorporation into energy networks is currently understudied. The state of the current art and prospects for the future, including prospective applications of hydrogen technologies in energy are examined in this overview. The findings demonstrate the fact, which portrays continual efforts to increase performance, technological perspective, and increases in scale. Finally, governmental support is of great importance and necessity if allowance is to be made for a cost-competitive hydrogen economy.
Enhancing Construction Claims and Dispute Resolution in the Nigerian Building Sector: Insights from Thematic Analysis.
Authors: Zailani Muhammad , Mogbo Onyebuchi , Kolo Musa
Published: April 2024

The study investigates the mechanisms of construction claims and dispute resolution within the Nigerian building sector, employing a thematic analysis to uncover insights that could enhance these processes. The research methodology involved semi-structured interviews with professionals from leading construction companies in Abuja, Nigeria. Participants were selected through purposive sampling, ensuring they possessed relevant experience in managing construction claims and disputes. The data collected was rigorously analyzed using thematic analysis, which facilitated the identification of prevalent challenges and the evaluation of current dispute resolution methods. The findings reveal that contractual ambiguities, communication failures, and cultural differences are the primary sources of disputes, leading to significant project delivery issues such as cost overruns, schedule delays, and quality defects. Traditional dispute resolution methods, including negotiation, arbitration, and litigation, are commonly utilized, yet the study identifies a notable gap in the adoption of Alternative Dispute Resolution (ADR) techniques. Barriers to ADR implementation, such as lack of awareness and trust among professionals, were highlighted. The study contributes to knowledge by providing a comprehensive understanding of the dispute sources and by evaluating the effectiveness of existing resolution methods. It also offers strategic recommendations for the development of a structured framework for claims management, tailored to the Nigerian context. The implications of this research are far-reaching, suggesting improvements in contractual clarity, communication training, and policy reforms that could significantly benefit the construction industry.
Sustainable Energy Management in Tertiary Educational Buildings: A Case Study of Nigeria's Federal Capital Territory
Authors: Anifowose Oluwole , Bamgbade Adebisi
Published: April 2024

This article presents a case study conducted in Nigeria Federal Capital Territory, examining the current status, challenges, and potential strategies for sustainable energy management in tertiary educational buildings. The research analyzes the energy consumption patterns, prevalent sources, and the diverse appliances used in lecture halls across six (6) selected institutions. Findings reveal lights, fans, projectors, computers, speakers, and microphones as the most combined and essential items for lecture environment as recorded by 25.7% of the respondents and about significant 72.2% of respondents lack awareness regarding their lecture hall's energy consumption, emphasizing an information gap that may hinder the adoption of sustainable energy management practices. Despite this, a considerable proportion 27.5% expresses satisfaction with current energy consumption levels, indicating potential complacency and a need for heightened awareness. Notably, varied perceptions of about 58.2% exist regarding excessive energy usage and the potential for reduction without compromising service quality. The study identifies barriers to implementing sustainable energy management practices, with staffing limitations, complex decision-making processes, and initial costs ranking highest with an Relative Importance Index (RII) of 0.772, 0.759 and 0.762 respectively. Conversely, strong leadership commitment, sustainability education in the curriculum, and environmental regulations emerge as key drivers for fostering sustainable energy management practices with an average RII of 0.791, 0.779 and 0.778 respectively. Proposed strategies for enhancing sustainable energy management include the deployment of smart grid systems, educational initiatives for students and staff, efficient building designs, and the implementation of renewable energy sources. Respondents exhibit a willingness to embrace these strategies, contingent on the availability of necessary resources and support. In conclusion, this research underscores the need for improved data collection on energy consumption, heightened awareness campaigns, and strategic policy interventions to facilitate the transition to sustainable energy practices in educational buildings.
Drone Technology Application on Solid Waste Management; Investigation of Gwarinpa Area, Abuja
Authors: Tsadu Adamu , Mogbo Onyebuchi , Kolo Musa
Published: April 2024

This paper explores the challenges of solid waste management (SWM) in Gwarinpa, Abuja, Nigeria, and assesses the potential of drone technology to enhance SWM in this urban area, particularly in developing countries. The research employs a mixed-methods approach, integrating both quantitative and qualitative data. Quantitative data is sourced from official entities like the National Waste Management Authority (NWMA) and the Federal Ministry of Environment (FMoE), complemented by a survey of 200 households in Gwarinpa. Additionally, qualitative insights are gathered from interviews with 10 stakeholders, including residents, waste collectors, waste managers, and drone operators.
The findings indicate that Gwarinpa currently faces significant SWM challenges, characterized by ineffective waste reduction, recycling, and disposal practices. Key issues include inadequate infrastructure, limited funding, poor staff training, and environmental pollution. Conversely, drone technology emerges as a promising solution to enhance SWM by improving efficiency, monitoring performance, reducing costs, ensuring safety, and fostering environmental protection.
The study concludes that while drone technology has the potential to revolutionize SWM in Gwarinpa, its successful deployment depends on overcoming several hurdles. These include addressing infrastructural deficiencies, engaging stakeholders effectively, navigating regulatory frameworks, and assessing long-term implications. This study positions drone technology as a viable tool for advancing SWM practices in urban settings, especially within the context of developing countries.
The effect of rehabilitation exercises using the inverted table in improving the muscular strength of the back and abdominal muscles for women with herniated disc aged (30-45) years
Authors: Zahraa Khalil Ibrahim  , Suhad Hasib Abdul Hamid
Published: April 2024

هدف البحث إعداد تمرينات تأهيلية باستخدام جهاز الطاولة المعكوسة للمصابات بالانزلاق الغضروفي, والتعرف على تأثير هذه التمرينات في تحسين القوة العضلية لعضلات الظهر والبطن من اجل التخلص من الإصابة , وتكمن أهمية  التمرينات التاهيلية باستخدام الطاولة المعكوسة في تحسين القوة العضلية للنساء المصابات بالانزلاق الغضروفي من خلال استعادة الوظائف الحيوية وتحسين صحة العمود الفقري  أن إصابة الانزلاق الغضروفي تحدث عند اغلب النساء لكونهم يؤدون حركات خاطئة منها حركات لف الخصر المفاجئة  ويحملون أوزان ثقيلة كذلك التعرض لصدمات مثل السقوط والحمل والولادة الطبيعية للجنين والسمنة مما يتسبب بالانزلاق الغضروفي ووجد الباحثتين أثناء التجول في مراكز التأهيل أن المصابين يخضعون لطرق تأهيل متكررة وتقليدية لذلك اعد الباحثون التمرينات التأهيلية لعلاج المصابات بالانزلاق الغضروفي كذلك اعتمد المنهج التجريبي بتصميم المجموعة الواحدة ذات الاختبار القبلي والبعدي على المصابات المراجعات لمركز اوتزم وعددهن (8) تم الاختيار بالطريقة العمدية لتكون ملائمة لطبيعة المشكلة من حيث الأهداف والفروض واعد الباحثتين تمرينات تأهيلية تم عرضها على الخبراء والمختصين في مجال الطب الرياضي بعدها اجري الاختبار القبلي واستمرت مدة الـتأهيل لمدة شهر ونصف بواقع (24) وحدة تاهيلية  وبعد الانتهاء من التجريب اجري الاختبار البعدي وتمت معالجة البيانات وفق مايتطلبه البحث بنظام (spss) وافترضت الباحثتان بأنه توجد فروق ذات دلالة إحصائية بين نتائج الاختبارات القبلية والبعدية لمجموعة البحث في تأهيل المصابات بالانزلاق الغضروفي , لتكون الاستنتاجات والتوصيات بتطبيق التمرينات التأهيلية باستخدام الطاولة المعكوسة يلائم المصابات بالانزلاق الغضروفي كذلك يساعد تطبيق التمرينات التأهيلية باستخدام الطاولة المعكوسة في تحسين القوة العضلية لعضلات الظهر والبطن لدى النساء المصابات بالانزلاق الغضروفي ومن الأفضل عدم استخدام الطاولة المعكوسة للنساء المصابات بأمراض العيون وضغط الدم المرتفع وحالات  الكسور ومن الأفضل أن تهتم المستشفيات بتطوير خبرات المعالجين العاملين في كيفية استخدام التمرينات باستخدام الطاولة المعكوسة إي إلى ما توصلت إليه الدراسة من نتائج
The effect of aerobic exercise on the mental health of people with cancer aged (18-20)
Authors: Bushra Kadhim Al-Hamash  , Rusul Ali Jabur
Published: April 2024

تعد اللياقة البدينة ضرورة من ضروريات الحياة فهي جزء من اللياقة العامة للإنسان وأحدي مكونات اللياقة الشاملة التي تؤهل الفرد للعيش على نحو متوازن داخل المجتمع وتهدف الى اعداد فرد لديه كفاءة بدينة في مواجهة متطلبات الحياة وتكمن مشكلة البحث بانه مرضى السرطان الذين لم يتمكنوا من لحصول على الاحتياجات اللازمة بان هذا يعرقل من حصولهم على الصحة النفسية والبدنية ولإبراز أهمية ممارسة النشاطات الرياضة وأثرها على الصحة النفسية لمرضى السرطان بأعمار (18-20) سنه. وهدف البحث الى التعرف على تأثير تمرينات الايروبكس بمصاحبة الموسيقي الصحة النفسية لمرض السرطان. استخدمت البحث المنهج التجريبي ذات التصميم المجموعة الواحدة بالاختبار القبلي والبعدي على عينة تبلغ (7) من المصابين بمرض السرطان بعمر (18-20) وطبقت عليهم تمرينات الايروبكس المصاحبة للموسيقى لمدة شهر ونصف ،وتوصلت الباحثتان الى عدد من الاستنتاجات كانت أهمها الى. فاعليه تمرينات الايروبكس مع الموسيقى في تحسين مؤشر الصحة النفسية لدى عينه البحث. وخرجت الباحثات بعدة توصيات. الاهتمام بالصحة النفسية كونها تعكس الرضاء والثقة بالنفس والسعادة لدى الفرد مع نفسه ومع المجتمع الذي ينتمي اليه، التأكيد على استخدام تمرينات الايروبكس المصاحبة للموسيقى كونها عامل يساعد على التخلص من الملل وتشجع  على اداء التمرينات بنشاط وفاعلية و تؤثر بشكل ايجابي على الصحة النفسية.
ANALYZING THE ROLE OF VARIOUS POLICY INITIATIVES IN ENHANCING FINANCIAL INCLUSION IN GHANA
Authors: Babangıda Harun Adams , Mıgdad Abdalrahman
Published: April 2024

The concept of financial inclusion has caught the attention of global multilateral institutions such as the World Bank, and International Monetary Fund, as well as other developmental partners across the globe. The key highlights of financial inclusion are to provide unimpeded access to quality finance at a relatively cheaper cost by way of creating opportunities for access and usage of formal financial services among vulnerable groups such as the aged, women, immigrants, and People with Disability (PWD). Despite the introduction of sound policies to attract these segments of society, the majority of people still have difficulties accessing formal finance. This paper analyzed two critical policy initiatives adopted by the government of Ghana to achieve a proposed 85% increment in the number of adults with formal accounts by the end of 2023. We found out that despite improved account penetration levels driven by the mobile money platforms and Rural Banks, a significant level of Ghanaian society continues to struggle to access credit due to the limited availability of collaterals. While gender, education, geographical location, and absence of proper ID/address were crucial barriers that could inhibit people from getting included in the financial system in Ghana.
INFLUENCE OF LATENT TUBERCULOSIS INFECTION ON THE STATE OF THE AUTONOMIC NERVOUS SYSTEM AND SOMATOTROPIC HORMONE PRODUCTION
Authors:   FSBEI HE «Rostov State Medical University», Department of Tuberculosis, Shovkun L.A. , Campos E.D. , Kudlay D.A. ,   FSAEI HE «First Moscow State Medical University named after I.M. Sechenov» of the Ministry of Health  of the Russian Federation (Sechenov University), Nikolenko N.Yu. ,   The Moscow Research and Clinical Center for Tuberculosis Control of the Moscow Government Department of Health, Franchuk I.M.
Published: April 2024

The influence of latent tuberculosis infection (LTBI) on the state of the autonomic nervous system (ANS) and the level of somatotropic hormone (STH) in adolescents (100 people) aged 11 to 13 years was studied. In patients with LTBI, there was an autonomic imbalance with a predominance of sympathicotonia, which was accompanied by hyperergic reactions to the recombinant tuberculosis allergen, while in vagotonic and eutonic patients the number of hyperergic reactions was significantly less. Insignificant dynamics of the immunological test, low levels of growth hormone, and low activity of phagocytosis in adolescents with vagotonia were established, which may indicate a lack of cellular immune response. A more pronounced inversion of the immunological test with the recombinant tuberculosis allergen was revealed against the background of preventive treatment in eutonics and sympathicotonics, who had a higher level of growth hormone and phagocytosis activity initially. The established relationship between the functional state of the ANS and the growth hormone indicator, which influence the activity of phagocytosis in patients with latent tuberculosis infection, can be used to predict the effectiveness of anti-tuberculosis preventive therapy and can serve as an additional prognostic criterion for assessing the risks of developing active tuberculosis.
LATENT TUBERCULOSIS INFECTION: PLACE IN THE SPECTRUM OF TUBERCULOSIS, PROBLEMS
Authors:   The Moscow Research and Clinical Center for Tuberculosis Control of the Moscow Government Department of Health, Bogorodskaya E.M. , Litvinov V.I. ,   Federal State Budgetary Educational Institution of Further Professional Education «Russian Medical Academy  of Continuous Professional Education» of the Ministry of Health of the Russian Federation
Published: April 2024

The literature review briefly describes the main aspects of latent tuberculosis infection and the place of tuberculosis infection among various variants of the course of tuberculosis. Latent tuberculosis infection is one of the main problems of phthisiology. Today we have made significant progress in understanding the essence of this important «component» of tuberculosis, and, therefore, the time is not far when the diagnosis, prognosis and treatment of LTBI will become quite accessible in widespread practice
TREATMENT OF ACTIVE AND LATENT MULTIDRUG-RESISTANT TUBERCULOSIS IN CHILDREN OF THE SAME FAMILY
Authors:   Federal State Budgetary Educational Institution of Higher Education «Northern State Medical University»  of the Ministry of Health of the Russian Federation, Nikishova E.I. , Guryeva T.I. ,   State Budgetary Healthcare Institution of the Arkhangelsk region «Arkhangelsk Clinical Tuberculosis Dispensary», Vlasova N.A. , Markova A.A. , Jafarova Z.E. , Maryandyshev A.O.
Published: April 2024

An observation of the management of active and latent tuberculosis with multidrug resistance of the causative agent of the disease in children from the same family has been presented. The efficacy and safety of a short, fully oral chemotherapy regimen with the use of new and repurposed drugs in a child with active pulmonary tuberculosis has been demonstrated. During the preventive treatment of latent tuberculosis infection for six months no adverse reactions after taking levofloxacin were reported. In one case, preventive treatment of latent MDR-TB was not carried out due to co-pathology newly diagnosed before taking the drug.
Latest Implant Materials and Implant Coating Materials- A Narrative Review
Authors:   PG. Student, Dept of Prosthodontics, Lenora Institute of Dental Sciences, Rajahmundry, A.P., D Kundanaveni.
Published: April 2024

Dental implant fittings are often made of a variety of materials. Titanium alloys, zirconium, PEEK, composite materials, 3D-printed materials, and biodegradable materials are a few of the most recent implant materials. A great deal of research is being done on implant surface coating materials, such as nanostructured materials and bioactive coatings, to improve the osseointegration of the implant with the bone.
VIBRATION AND STATIC ANALYSIS OF COMPOSITE 2-WHEELER CONNECTING ROD
Authors:   ME Student Siddhant College of Engineering, Pune., S. S Mr. . Said
Published: April 2024

Composite paraphernalia are now a day vastly used in the engineering field. The general characteristics held by the conflation paraphernalia are set up to be the reason for using it in the automotive operations. The connecting rod is a major link inside of combustion machine. It connects the piston) to the crankshaft and is responsible for transferring power from the piston to the crankshaft. It has to workonhighr.p.m. because of which it has to bear severe stresses which make its design vital for internal combustion machine. In this design, design, analysis of the 2-wheeler connecting rod will be perform. The CATIA V5 R20 software has been used for designing the connecting rod 3D model and also the designed connecting rod model is imported into the ANSYS software in which the design is meshed and anatomized by using the Finite Element Method (FEM) and the result is manipulated. Modal analysis of being and conflation connecting rod will be performed. Results of the analysis are also validated by using UTM.
ROLE OF AI IN HUMAN RESOURCE MANAGEMENT :
Authors:   Dr. G. R. Damodaran College of Science  School of Commerce and International Business  Coimbatore, D Dr.. VANISREE
Published: April 2024

AI can help pick up the pace by helping managers nurture each potential hire automatically, and it allows them to receive notifications when a candidate applies for an open position. Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. As AI technology moves beyond automation to augmentation, companies may be looking at how AI tools can make the work of human resources (HR) better for employees and job seekers. It’s not just about saving time; it’s also about providing information, insights and recommendations in near real-time. And that’s just the start of AI in human resources. Keywords: Professional learning and development, Candidate sourcing and hiring, Procurement of short-term workers, Automating HR service, Enhanced employee support, Increased Efficiency, Enhanced candidate experiences, Reskilling talent and restructuring job role.
Industrial Research Project Report Recruitment and Selection
Authors:   School Of Business Galgotias University, Greater Noida, Jaiswal Shubham
Published: April 2024

The project report delves into the Recruitment and Selection Process at Sysmind Tech Pvt. Ltd., offering a detailed analysis rooted in real-world corporate experience. It highlights the HR department's structure, functions, and decision- making procedures related to recruitment and selection. Recognizing human resources as a vital corporate asset, the report underscores the importance of recruiting individuals with the requisite skills, qualifications, and experience to achieve company objectives. Successful recruitment hinges on meticulous job and labor market analysis. Recruitment is integral to effective management, with failures in this process posing risks to a company's profitability and staffing levels. Recruitment is not merely a selection process but involves strategic decision- making and thorough planning to onboard the most suitable talent. Intensified competition among businesses has sharpened the focus on innovation, prompting recruiters to seek candidates aligned with the organization's culture, ethics, and climate. Furthermore, the report elucidates the significance of recruitment within the broader management context, highlighting the potential ramifications of recruitment failures, such as adverse effects on profitability and inadequate staffing or skill levels. It stresses that recruitment is not merely a selection process but entails strategic decision-making and meticulous planning to ensure the acquisition of the most suitable talent. Moreover, the report sheds light on the evolving landscape of recruitment, characterized by heightened competition among businesses. Recruiters are increasingly focusing on innovation and aligning candidates with the organization's culture, ethics, and climate. This necessitates a nuanced approach to recruitment characterized by astute management decision-making and a keen understanding of organizational dynamics.
IoT- Based Drowsiness Monitoring and Crash Detection System to Enhance Road Safety
Authors:   Assistant Professor, EEE Department, Vimal Jyothi Engineering College, Kannur, India, Thomas, Mrs. Athira M
Published: April 2024

This project is a solution designed to address the critical issue of driver drowsiness and enhance road safety. The system leverages the power of the Internet of Things (IoT) to continuously monitor driver alertness and promptly detect potential accidents. It comprises a network of sensors strategically placed within the vehicle, including facial recognition cameras and accelerometers. These sensors work together to capture and analyze a driver's physiological and behavioural data in real-time. Facial recognition technology detects signs of drowsiness such as drooping eyelids and yawning. Through a secure IoT connection, this data is transmitted to a central processing unit within the vehicle. Advanced algorithms process this information, assessing the driver's state of alertness. In the event of detected drowsiness, the system initiates a series of proactive interventions, such as sounding alarms, vibrating the driver's seat, or even communicating with an external monitoring centre for further assistance. Moreover, the system's crash detection capabilities are enabled by the accelerometers, which monitor sudden changes in the vehicle's motion. If a collision or accident is detected, the system promptly sends an alert, including the vehicle's GPS coordinates, to emergency services or designated contacts, facilitating rapid response and potentially saving lives. Keywords:- Drowsiness, Crash Detection, Raspberry Pi, IoT
Literature Survey on Smart Ambulance Traffic Control System
Authors:   Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) Vidyavardhaka College of Engineering  Mysuru, Karnataka, India, R Prof. Lakshmi
Published: April 2024

This study introduces a Smart Traffic Signal Control System designed to streamline ambulance transit through congested urban areas. Integrating RFID, GPS, and LTE technologies, this system establishes a direct link between ambulances and traffic signals, enabling prioritized passage for emergency vehicles. GPS tracking triggers real- time signal adjustments as ambulances approach intersections, granting immediate green signals through cloud-based communication. RFID confirms passage, while predictive algorithms optimize upcoming signal timings based on ambulance speed and estimated arrival, effectively preempting traffic congestion. Initial trials demonstrate reduced transit times during peak traffic, ensuring prompt arrival at medical facilities. The system's automation minimizes delays without human intervention, highlighting its potential to revolutionize emergency services. However, seamless integration with existing infrastructure, data security, and scalability remains focal points for further development. This Smart Traffic Signal System signifies a crucial step toward optimizing emergency response in challenging urban settings, promising improved healthcare accessibility through efficient ambulance navigation. Key Words: Smart Traffic Signal Control System, RFID, GPS, LTE technologies, ambulance transit, real-time signal adjustments, cloud-based communication, emergency services optimization, automation, data security, scalability.
Drive Time Vehicle Breakdown Assistance
Authors:   Sri Chandrasekharendra Saraswati Viswa Mahavidyalaya, P V Sri Ram
Published: April 2024

Drive Time Vehicle Breakdown Assistance is a user-centric platform dedicated to providing swift and efficient assistance to drivers experiencing vehicle issues. Through seamless chatbot integration, users can easily connect with mechanics in their vicinity, ensuring prompt resolution of breakdowns tailored to their vehicle type and location. Additionally, the platform offers a comprehensive tutorial section empowering users to tackle common issues independently, fostering a sense of self-sufficiency. Moreover, users can seamlessly search for nearby petrol stations from their location, ensuring they have access to essential services during their journeys. In summary, Drive Time Vehicle Breakdown Assistance is more than just a platform—it's a comprehensive solution designed to provide peace of mind to drivers, ensuring safer and more convenient journeys on the road. Keywords- assistance, breakdowns, chatbot, drivers, efficient, independence, mechanics, petrol, platform, tutorial
Corrosion in Pacemakers: Mechanisms, Implications and Advances in Prevention
Authors:   Student, First Year Engineering, Vidyalankar Institute of Technology, Mumbai, India, Nayak Swastik
Published: April 2024

Corrosion of pacemaker and its leads presents a significant concern in cardiac device management, potentially leading to device malfunction and patient harm. This paper reviews the current understanding of corrosion mechanisms in pacemaker leads, including the effects of physiological conditions, material properties, and environmental factors. Various prevention techniques for corrosion and types of corrosion resistant pacemakers are discussed, along with emerging technologies and types of pacemakers. The metals/alloys suitable for pacemakers are also noted. By addressing these issues, researchers and clinicians can improve the reliability and longevity of pacemaker leads, enhancing patient safety and device performance. Key Words: pacemaker leads, corrosion, prevention techniques, mitigation strategies
Implementation of Multiview Deep Learning Algorithm using LSTM-CNN for Fraudulent Review Detection
Authors:   School of Computer Science and Engineering  Lovely Professional University Punjab, India, Gupta, Priyanka
Published: April 2024

In this project, we explored the task of detecting fraudulent reviews in text data using various machine learning algorithms. The dataset consisted of reviews categorized into two labels: 'CG' (genuine reviews) and 'OR' (potentially fraudulent reviews). We began by preprocessing the text data, which involved tasks such as removing punctuation, stop words, and applying stemming or lemmatization techniques. After preprocessing, we utilized different machine learning models including Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Support Vector Machines (SVM), Multinomial Naive Bayes and LSTM-CNN model to classify the reviews. Overall, our study showcases the effectiveness of machine learning, Deep learning algorithms in identifying fraudulent reviews from textual data. The findings provide valuable insights for applications in e-commerce platforms and online review systems to enhance the reliability and trustworthiness of user-generated content. Keywords: Fraudulent reviews, Text classification, Machine Learning, Preprocessing, Logistic Regression, Support Vector Machines, Evaluation metrics.
Car Parking Occupancy Detection Using Deep Learning
Authors:   B.Tech Student Department of ECE RVR&JC College Of Engineering Guntur,India, Chitirala Mani Kiran
Published: April 2024

It can be difficult to find a parking space in a busy neighborhood because you never know when one will become available. Due to the rise of automobiles and fall in parking spots, this task even more challenging. To increase the dependability of smart parking systems, numerous researchers have sought to improve them. In smart parking systems, computer vision is a more advantageous method for detecting parking spaces than sensors. Many parking spots may be monitored by a single smart camera, which is also reasonably easy to install and maintain. To identify parking occupancy in camera-captured photos, a CNN model is employed. The CNN model will be trained using the CNRpark+Ext and PKLot datasets, which contain 4081 and 12,416 parking lot photos under various weather scenarios, respectively. The CNN architectures, CmAlexNet and mAlexNet, are five-layer designs built on the eight-layer AlexNet architecture, in which processing speed is increased by removing the completely connected layer and the third and fourth convolutional layers. To increase accuracy, the first convolutional layer of CmAlexNet's filter is resized from 11x11 to 13x13, and batch normalization [1] is used instead of the original method. Three key performance metrics are evaluated between CmAlexNet and mAlexNet: recall, precision, and accuracy in classification. Keywords: Car Parking , Computer Vision , Deep learning , CNN, mAlexnet , cmAlexnet , CNRpark dataset , PKLot dataset.
Revolutionizing Asset Management & MySQL Integration for Cutting-Edge Solutions
Authors:   AP/CSE  SCSVMV University  Kanchipuram, R Dr.. Prema
Published: April 2024

In this we developed a system effective asset management has become paramount for optimizing resources and streamlining operations This abstract introduces an innovative Revolutionizing Asset Management & MySQL Integration for Cutting-Edge Solutions developed on the MERN (MySQL, Express, React, Node) stack, tailored to efficiently manage product data. This web-based solution offers a comprehensive approach. The system allows users to record, categorize, search and monitor a diverse range of products within an organization. Once the product is searched into the database it fetches the variants available for the product. Before fetching master has access to add products, variants, values, etc. Built using React.js, the frontend of our application ensures optimal scalability and dynamism, catering to the evolving needs of modern organizations. The Application for finding Asset details within the organization involves - developing a software system that provides a user-friendly interface for searching products Keywords—: Asset management, MERN stack, scalability, categorization, streamline operations, variant
AI-Based Facial Emotion Recognition
Authors:   Dept of cse, Raghu engineering college, dakamarri(V), Bheemunipatnam, Visakhapatnam Dist. pin code: 531162, Thirumala Chinmayi
Published: April 2024

Facial expression, age, and gender detection have received a lot of interest in recent years due to their wide range of applications in fields including healthcare, security, marketing, and entertainment. With the proliferation of artificial intelligence (AI) techniques, especially deep learning, facial analysis systems' accuracy and efficiency have improved significantly. This paper provides a comprehensive analysis of the most recent advances in AI-based facial expression, age, and gender identification algorithms. We explore the constraints and limitations of current techniques, such as the necessity for big annotated datasets, biases in training data, and interpretability issues in deep learning models. This study seeks to give academics, practitioners, and policymakers, a thorough grasp of the most recent state-of-the-art methodologies and trends in AI-based facial emotion, age, and gender identification, thereby supporting future advancements and responsible usage of these technologies. Keywords: Facial expression, age, gender, identification, deep learning, artificial intelligence
VIRTUAL MOUSE USING EYE MOVEMENTS FOR HANDICAPPED
Authors:   Student,Shri Chhatrapati Shivaji Maharaj College of Engineering,, Andhale Akansha
Published: April 2024

A disabled person’s life is always dependent on someone else who needs aid with mobility or any other task. Individuals with disabilities may face challenges when using computers. The most common way of interacting with computers is using a mouse and keyboard. It is difficult for people with physical disabilities to use them. Facial movements and voice commands are one of the best possible actions by physically disabled individuals, by recognizing and responding to these movements and commands , it is possible for them to operate the computer using only their eye movements. Eye movement recognition and voice command is a contemporary approach to interaction between humans and computers. The proposed system can easily control the computers by using eye movement and voice command recognition. It can be a viable replacement for traditional system in the future. This research outlines the techniques utilized in the design, implementation, and evaluation of the experiments conducted and presents the results obtained. keyword - Email, Internet, Voice, Speech recognition, physically challenged, Text to speech, Blind, eye movements .
“The Role of Systemic Drugs on Implants”- A Narrative Review
Authors:   P.G.Student, Dept of Prosthodontics, Lenora Institute of Dental Sciences, Rajahmundry, AndhraPradesh,, Enagant Dr.Swathi Devi
Published: April 2024

In dentistry, there is no systemic disease that would generally be an absolute contraindication to the placement of dental implants. However, certain systemic diseases can present significant challenges and increase the risks associated with implant surgery. Although these diseases are not always absolute contraindications, sometimes the medication which the patient is taking for the particular systemic disease may pose some complications for implant treatment. careful consideration, risk assessment and interdisciplinary collaboration are necessary to ensure patient safety and optimize treatment outcomes.
LabourCentre - Bridging the Gap Between Clients and Skilled Workers
Authors:   BE in Information Technology Vidyalankar Institute of Technology anirudh.shukla@vit.edu.in, Shukla Anirudh
Published: April 2024

This research paper presents a web application that aims to simplify the hiring and contract assignment of labourers, promoting a more effective and transparent relationship between employers and qualified workers. The application guarantees thorough verification, makes labour registration easier, and makes contract assignments easier. It has an extensive labourer registration module that enables employees to set up profiles with thorough backgrounds and skill sets. Prospective clients are reassured that labourer profiles are authentic by a strong verification mechanism. Customers can peruse an array of au- thenticated workers, making knowledgeable selections predicated on competencies, background, and additional factors. Clients can create, modify, and assign contracts to qualified labourers using an easy-to-use portal that streamlines the contract assignment process. The research explores the impact of the platform on efficiency and transparency, focusing on user satisfaction and adoption rates. Index Terms—labourer, customer, MERN, open source, User friendly, Interface.