bluuebunny/crossref_metadata_2025 huggingface dataset:
Brain Tumor Detection: Integrating Machine Learning and Deep Learning for Robust Brain Tumor Classification
Authors:   Cybersecurity Department, Faculty of Science and Information Technology, Jadara University, Irbid, Jordan, Qusay Qusay ,   Cybersecurity Department, College of Computer Sciences and Informatics, Amman Arab University, Amman, Jordan,   Faculty of Information Technology, Applied Science Private University, Amman, Jordan,   Department of Clinical Pharmacy Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan,   MEU Research Unit, Middle East University, Amman, Jordan; Jadara Research Center, Jadara University, Irbid, Jordan,   Computer Science Department, Alobour high institute for comHigh Instituteputer and informatics, Cairo, Egypt,   Faculty of Computer Sciences, Misr International University, Cairo, Egypt,   Computer Science Department, Alobour high institute for comHigh Instituteputer and informatics, Cairo, Egypt, Bsoul Qusay , jawazneh Fadi yassin Salem Al , Bsoul Raghad W. , AbdElminaam Diaa Salama , Abd-Elghany Magdy Abd , Alkady Yasmin , Gomaa Ibrahim A.
Published: December 2024

Accurate detection and classification of brain tumors are essential for timely diagnosis and effective treatment planning. This study presents an integrated framework leveraging both machine learning (ML) and deep learning (DL) models for brain tumor detection and classification using MRI images. Two publicly available datasets are utilized: one for binary classification (tumor vs. no tumor) and another for multiclass classification (glioma, meningioma, and pituitary tumors). Comprehensive preprocessing steps, including resizing, feature extraction using the Gray Level Co-occurrence Matrix (GLCM), and feature selection via Chi-square testing, were employed to optimize the dataset for modeling. Machine learning models such as Decision Trees, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and AdaBoost were compared with deep learning architectures like Convolutional Neural Networks (CNNs) and the pre-trained VGG16 model. Hyperparameter optimization techniques, including grid search and the Adam optimizer, were used to enhance model performance. The models were evaluated using metrics such as accuracy, precision, recall, F1-score, Mean Squared Error (MSE), and Mean Absolute Error (MAE). Results indicate that the VGG16 model consistently outperformed other approaches, achieving high validation accuracy. This study highlights the potential of integrating ML and DL techniques for accurate and efficient brain tumor detection and classification, offering valuable tools for medical diagnostics.
The Impact of Big Data on the Nexus between Financial Leverage and Stock Price Prediction
Authors:   Faculty of Business Administration, Ajloun National University, Jordan, admin admin ,   Faculty of Business Administration, Ajloun National University, Jordan, Aldiabat Khaled
Published: December 2024

This research explores the impact of financial leverage on stock price prediction among listed industrial Jordanian companies. Moreover, the effect of big data as a moderating variable on the relationship between financial leverage and stock price prediction. The study uses two types to measure financial leverage according to the terms [short-term and long-term]. The study results point out that only short-term leverage influences stock price prediction among listed industrial Jordanian companies, which it maybe because short-term leverage has a direct impact on a firm situation compared with long-team leverage that resorts it to achieve long-term goals. Furthermore, the findings provide an original contribution by asserting that big data plays a main moderating role when making decisions regarding investment, where it helps in expecting stock prices in companies with financial leverage.
Exploring the Use of Deep Learning Models for Image Compression in Embedded Systems: Encoder and Decoder Architectures
Authors:   Research Scholar, Department of ECE, Chaitanya deemed to be University, Hyderabad, India, Abhiram Abhiram ,   Professor  Head, Department of ECE, Chaitanya deemed to be University, Hyderabad, India, Khetavath Seetharam
Published: December 2024

With the growing demand for efficient image processing in embedded systems, the exploration of deep learning-based image compression methods has emerged as a promising avenue. Traditional image compression techniques, such as JPEG and PNG, face challenges in achieving optimal performance for constrained environments due to their reliance on handcrafted algorithms and limited adaptability. This study investigates the use of deep learning models for image compression tailored to embed systems, focusing on encoder and decoder architectures. By leveraging convolutional neural networks (CNNs) and variational auto encoders (VAEs), we design lightweight models capable of achieving high compression ratios while maintaining visual fidelity. The research emphasizes computational efficiency, ensuring compatibility with the resource constraints of embedded hardware. Key contributions include the development of streamlined architectures optimized for low memory and power usage, along with a comprehensive evaluation of compression quality, reconstruction accuracy, and real-time performance. The results demonstrate that deep learning-based approaches can outperform traditional methods in terms of adaptability and efficiency, paving the way for their integration into next-generation embedded systems.
Analyzing the Vulnerability of Consumer IoT Devices to Sophisticated Phishing Attacks and Ransomware Threats in Home Automation Systems
Authors:   Lecturer, Dept. of CSE, Bahrain Polytechnic, Bahrain, L. L. ,   Director of Technology and Operations, Eficens Systems, Cumming, Georgia, USA,   Professor and Head, Dept. of ECE, Rajalakshmi Engineering College, Chennai, TN, India,   Assistant Professor, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Velpucharla Tejeswar Reddy , Bhagyalakshmi L. , Anusha Peruri Venkata
Published: December 2024

This research presents a new and elaborate security model for IoT devices used in home automation systems. The framework comprises five algorithms: The following models were identified: Vulnerability Assessment (VA), Anomaly Detection with Machine Learning (ADML), Behavior Analysis (BA), Intrusion Detection System (IDS), and Adaptive Security Framework (ASF). Ablation study brings out the specificity of each algorithm and underlines the synergy of the algorithms for IoT device protection. Comparisons with similar procedures confirm higher levels of sensitivity and specificity of the proposed method, as well as enhanced efficiency and tunability. Animated charts give crisp information about the total effects of security methods on different parameters. The proposed security framework has therefore been presented as now a viable solution to complex threats and continuous security for the IoT devices used in home automation systems.
An upgraded IoT based Mobile Ad- hoc Network enactment founded on optimized Signal Strength Based Routing algorithm
Authors:   Department of Computer Science, Faculty of Information Technology, Jadara University, Irbid, Jordan, Ayat Ayat ,   Department of Robotics and Artificial Intelligence, Faculty of Information Technology, Jadara University, Irbid, Jordan,   Assistant Professor, Dept. of ECE, Saveetha Engineering College, Chennai, TN, India,   Assistant Professor, Dept. of CSE, Koneru Lakshmaiah Education Foundation, (Deemed to be University) Vaddeswaram, Guntur, A.P., India, Ababneh Mustafa , Karthiga M. , Bhimaavarapu Krishna
Published: December 2024

It is a wireless network with mobile nodes that function independently and communicate with one another with radio waves. When a node gets a packet, they evaluate all of the possible routes before selecting the optimal one. In this way, the capabilities of routing are incorporated into each node of the network. Researchers used ant colonies to find the best path between two sites. The Simple Ant Routing Protocol has improved with the assistant of Internet of Things (IoT). Energy Aware Simple Ant Routing Algorithm (EASARA), a new protocol, considers each node's energy usage. The change improved routing overhead and packet delivery ratio. It also improved communication. EASARA performed better with more hosts. Traffic congestion statistics followed. One parameter estimated host power reserve and connection congestion. Energy-congestion conscious protocol is basic routing algorithm is ECSARA (Energy-congestion based Simple Ant Routing Algorithm). The protocol improves with more hosts. It sends packets faster. Hence, transmission data transfer increased. Energy savings extended the route's lifespan. Signal strength predicted connection failures. This metric chooses a new route. Signal-to-Anchor-Receiver-Attendance based Simple Ant Routing Algorithm is SS-SARA. All host monitors detected strong signals. Communication uses substitute pathways when signal strength goes below a threshold. The protocol improved packet delivery and throughput on congested networks, according to experiments.
Он был первым: к истории постановки вопроса об уголовной ответственности юридических лиц в Российской Федерации
Authors: Федоров А.В.
Published: December 2024

Статья посвящена рассмотрению истории постановки вопроса об уголовной ответственности юридических лиц в Российской Федерации с акцентом на вклад профессора Анатолия Валентиновича Наумова в изучение этого направления развития уголовного законодательства. Отмечается, что А.В. Наумов первым из советских ученых высказал и обосновал позитивную позицию по отношению к уголовной ответственности юридических лиц; входил в число авторов, подготовивших для замены Уголовного кодекса РСФСР проект, включавший нормы об уголовной ответственности юридических лиц; на протяжении более чем тридцати лет в своих работах исследует эту ответственность, уделяя особое внимание её объективной обусловленности, доктринальным основам, вариантам законодательного закрепления и анализу доводов противников появления института уголовной ответственности юридических лиц в Российской Федерации.

The article is devoted to the history of raising the issue of criminal liability of legal entities in the Russian Federation, with an emphasis on the contribution of Professor Anatoly Naumov to the study of this direction of development of criminal legislation. It is noted that A.V. Naumov was the first of the Soviet scientists to express and justify a positive position in relation to the criminal liability of legal entities; was one of the authors who prepared a project to replace the Criminal Code of the RSFSR, which included rules on the criminal liability of legal entities; For more than thirty years, in his works he has been exploring this responsibility, paying special attention to its objective conditionality, doctrinal foundations, legislative options and analysis of the arguments of opponents of the emergence of the institution of criminal liability of legal entities in the Russian Federation.
Киберпреступность: тенденции и перспективы
Authors: Бессонов А.А.
Published: December 2024

Сегодня общемировой тенденцией становится преобладание в общей структуре преступности деяний, совершённых с использованием информационно-телекоммуникационных технологий или в сфере компьютерной информации, именуемых киберпреступлениями. Разработка и реализация мер по противодействию киберпреступлениям должны сопровождаться изучением современного состояния и тенденций развития этого вида преступности, передовой практики их выявления, раскрытия, расследования и предупреждения. На основе изучения состояния и структуры этого вида преступности, практики расследования отдельных видов киберпреступлений и научных публикаций по этой теме автором определены обуславливающие её факторы, наметившиеся тенденции в части изменения способов совершения таких деяний, в том числе с использованием искусственного интеллекта, а также предложены общие меры по дальнейшему противодействию киберпреступности. Настоящая статья подготовлена на основе тезисов доклада автора на IVМеждународной научно-практической конференции «Следственная деятельность: наука, образование, практика», прошедшей 6 сентября 2024 года в городе Минске Республики Беларусь.

Today, a global trend is the predominance of crimes committed, using information and telecommunication technologies or in the field of computer information called cybercrime, in the general structure of crimes. Development and implementation of measures to counteract cybercrime should be accompanied by the study of the current state and development trends of this type of crime, advanced practice of detecting, disclosing, investigation and warning. On the basis of the study of the characteristics and structure of this type of crime, the practice of investigating of cybercrime and scientific publications on this topic, the author defines the factors that determine it, outlined trends in terms of changing the modus operandi of performing such crimes, including using artificial intelligence, and general measures were proposed according to the further opposition of cybercrime. This article was prepared on the basis of the theses of the author’s report at the IV International Scientific and Practical Conference “Investigative Activities: Science, Education, Practice”, which took place on September 6, 2024 in Minsk, Republic of Belarus.
Преступления против собственности в начале XXI века
Authors: Коимшиди Г.Ф. , Шекк Е.А.
Published: December 2024

В статье рассматриваются вопросы, касающиеся изменений, происходящих в преступности против собственности с начала ХХI века. Преступления, совершаемые из корыстных побуждений, которые ранее сопровождались применением насилия, в современном обществе могут осуществляться другими, более изощрёнными и безопасными способами, при этом оставаясь такими же противоправными. Авторами с использованием преимущественно статистического метода анализируются показатели преступности против собственности, отражающие ее трансформацию. При этом анализу подверглись два наиболее распространенных состава преступления, такие как кражи и мошенничества. Именно изменения их динамики подтверждают суть происходящей модификации современной корыстной преступности. В статье проводится сравнение показателей регистрации преступлений против собственности за 23 года (показатели 2023 г. в сравнении с 2000 г.), а также выделены базисные годы применительно к регистрируемой преступности в целом и к преступлениям против собственности в частности.

The article discusses issues related to the changes taking place in crime against property since the beginning of the 21st century. Crimes committed for selfish motives, which were previously accompanied by the use of violence, in modern society can be carried out in other, more sophisticated and safe ways, while remaining the same illegal. The authors, using mainly a statistical method, analyze the indicators of crime against property, reflecting its transformation. At the same time, two of the most common elements of crime, such as theft and fraud, were analyzed. It is the changes in their dynamics that confirm the essence of the ongoing modification of modern mercenary crime. The article compares the indicators of registration of crimes against property for 23 years (indicators of 2023 in comparison with 2000), and also accent the base years in relation to registered crime in general and crimes against property in particular.
Современное состояние оперативно-разыскного противодействия преступлениям экономической и коррупционной направленности в сфере топливно-энергетического комплекса
Authors: Искалиев Р.Г.
Published: December 2024

В статье рассматриваются некоторые вопросы организационно-управленческих мер противодействия преступлениям экономической и коррупционной направленности в сфере топливно-энергетического комплекса (ТЭК). Данное исследование обусловлено принятием своевременных мер органами внутренних дел Российской Федерации, направленных на противодействие вызовам и угрозам в сфере топливно-энергетического комплекса как составляющей экономической безопасности страны.

The article discusses some issues of organizational and managerial measures to counter economic and corruption crimes in the field of fuel and energy complex. This study is conditioned by the adoption of timely measures by the internal affairs bodies of the Russian Federation aimed at countering challenges and threats in the field of the fuel and energy complex as a component of the country's economic security.
Исследования с применением полиграфа: диагностика наличия у человека скрываемой информации об известных ему объектах и действиях
Authors: Холодный Ю.И.
Published: December 2024

В статье обсуждаются некоторые материалы, касающиеся теории и практики исследований с применением полиграфа (ИПП), которые были представлены на научно-практическом семинаре Следственного комитета России (г. Ессентуки, май 2023 г.). Рассмотрен ряд аспектов выполнения предъявления для опознания и непроцессуального опознания. Подтверждена актуальность предложенных на семинаре путей совершенствования технологии и тактики проведения ИПП, и некоторые из них заслуживают отдельного диссертационного исследования.

The article discusses some materials related to the theory and practice of research using a polygraph, which were presented at the scientific and practical seminar of the Investigative Committee of Russia (Essentuki, May 2023). A number of aspects of performing presentation for identification and non-procedural identification are considered. The relevance of the ways proposed at the seminar to improve the technology and tactics of conducting research using a polygraph is confirmed, and some of them deserve a separate dissertation research.
Enhancing Fluency Through Fun: The Role of Interactive Activities in Enhancing Adult Language Proficiency
Authors: Zuo Xinyu
Published: December 2024

This study assesses the influence of in-class and out-of-class speaking activities on adult learners' foreign language speaking proficiency by analyzing 49 papers. Principal findings demonstrate that in-class activities, including role play and group discussions, markedly enhance speaking skills, and out-of-class activities, such as singing, social media engagement, theatre participation, and English clubs, similarly yield beneficial outcomes. The research indicates that educators ought to implement interactive, activity-based pedagogical approaches, such as Communicative Language Teaching (CLT), to improve students' speaking abilities, with cooperative learning demonstrating a significant positive effect.
Behavioral Biases in Financial Reporting: Examining the Impact of Overconfidence and Risk Aversion on Managerial Accounting Practices
Authors: Rahmadi Zahra Tania , Rimbano Dheo
Published: December 2024

This study explores the influence of behavioral biases, specifically overconfidence and risk aversion, on managerial accounting practices, focusing on their impact on aggressive and conservative financial reporting. Using an online survey of 200 managerial-level respondents, data were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that overconfidence significantly drives aggressive financial reporting, while risk aversion promotes conservative practices. Furthermore, the interaction between these biases moderates their effects, highlighting the complexity of managerial decision-making. The study contributes to behavioral accounting theory by integrating psychological insights and providing practical implications for improving financial reporting accuracy through bias mitigation strategies. Future research is encouraged to examine additional biases, cross-cultural contexts, and the influence of technological advancements on managerial practices.
Knowledge of Primiparous Mothers on Immunization of Children under three Years in Rawalakot, Azad Kashmir
Authors: Iltaf Shugafta , Khadim Rehana , Parveen Shagufta , Shabnum Nadia
Published: December 2024

Immunization was crucial aspect of preventing infectious diseases in early childhood. However, lack of knowledge among parents especially primiparous mothers, can hinder optimal immunization coverage. Objective: To assess and evaluate the knowledge level of primiparous mother regarding immunization and the factor influencing immunization status in children under three years. Methods: A cross-sectional study was conducted with a sample of 210 mothers at Combined Military Hospital, Rawalakot, Azad Kashmir, from April 2023 to February 2024, using consecutive sampling. Data were collected using an adapted questionnaire, which included a demographic section and 37 knowledge items. Analysis was done by using SPSS version 26.0, using descriptive statistics (frequency and percentage) and inferential statistics (Chi-Square test). Results: There was gap in literature about primiparous mothers’ knowledge and this study results showed that 27.6% had low, 50% had moderate, and 22.4% had high knowledge. Complete immunization was achieved for 60.5% of children, highlighting the need for improved awareness, especially among primiparous mothers. Higher education and employment were significantly linked to better knowledge (P < 0.001), with healthcare professionals being the main source (56.6%). The study provided crucial insights for the Ministry of Health and policymakers, demonstrating the need to enhance immunization campaigns by improving primiparous mothers' knowledge for better vaccine coverage. Conclusions: A significant portion of primiparous mothers had moderate to low knowledge about child immunization, contributing to incomplete vaccination rates. Enhanced education and awareness programs, particularly for less informed mothers, were essential to improve immunization coverage in Azad Kashmir.
Decoding Demise: A Comprehensive Analysis of Unnatural Deaths in Rahim Yar Khan
Authors: Kamran Qurrat-ul-Ain , Munir Ummara , Pal Mobin Inaam , Samad Abdul , Imran Shahla , Ali Mashooq
Published: December 2024

A medico-legal autopsy is a systematic examination of a deceased body conducted under the law of the state to determine the cause, and manner of death and to verify or dismiss any potential involvement of foul play related to the deceased. Objective: To assess the spectrum of unnatural deaths in the district of Rahim Yar Khan. Methods: This retrospective descriptive study was done at the Department of Forensic Medicine and Toxicology, Sheikh Zayed Medical College, Rahim Yar Khan from 1st January 2021 to 31st December 2023. Variables were age, gender, cause and manner of death, weapon, and residence. All autopsies referred by police were included except hospital, police torture and custodial deaths, and putrefied or exhumed bodies. Data from police, hospital records, and autopsy reports were recorded on a pre-designed form. Results: There was male preponderance of 72.57% to female with 27.43%. In general, 78% of all deaths were homicidal, compared to 12% suicidal, 9% accidental and 1% remained undetermined. The 21-30-year age range is the most often afflicted group. Firearms as the leading cause of death followed by blunt objects, asphyxia and sharp weapons accounted for the majority of fatalities respectively. The instances involved 44.25 % urban inhabitants as compared to 55.75% peri-urban ones. Conclusions: It was concluded that men accounted for the majority of unnatural deaths. The most common cause of death was murder. Guns and blunt weapons were the leading causes of death. Compared to the surrounding area, the city had a higher number of unnatural fatalities.
Markers of Systemic Inflammation in Smoker and Non-Smoker Chronic Obstructive Pulmonary Diseases
Authors: Malla Snehanshu Debabrata , Verma Amit Kumar , Narang Shiva , Mehndiratta Mohit , Almeida Edelbert Anthonio
Published: December 2024

Non-smoker and tobacco smoker also have different inflammatory and proteolytic effects in the lung in experimental studies. Objectives: To compare the clinical, investigational profile and inflammatory markers e.g. ESR, CRP, Fibrinogen, IL-5 and IL-6 between smoker and non-smoker COPD patients.2. To compare the CAT score, mMRC score and various spirometry parameters between smoker and non-smoker COPD patients3. To calculate the diagnostic performance, sensitivity and specificity of inflammatory markers e.g. ESR, CRP, Fibrinogen, IL-5 and IL-6   between smoker and non-smoker COPD patients. Methods: In this cross-sectional study 80 subjects between age group of 40 to 65 years participated. This study included category A, B and C patients of COPD included and category D of COPD patients were excluded and those who were exposed to occupational exposure to smoke.  Serum levels of inflammatory markers including ESR, CRP, IL-5, IL-6, and Fibrinogen measured. Results: This study showed that there was statistically significant difference in ESR, CRP and fibrinogen levels between smoker and non-smoker COPD. There was also significant statistical difference between smoker and non-smoker COPD with respect to gender, old TB, haemoglobin, and the spirometry parameters. Conclusions: Therefore, this phenotypical categorization of patients with COPD may result in better understanding of the varied pathophysiology and help as screening tool for diagnosis of non-smoker COPD patients. ESR, CRP and fibrinogen may be used as a screening tool between smoker and non-smoker COPD patients, for a focused approach to treatment.
Fetomaternal Outcomes of Obstructed Labour in Tertiary Care Hospital Dera Ismail Khan
Authors: Bibi Najma , Anwar Sadia , Ghafoor Maria , Saleem Umm-e-Aimen , Zaman Uzma , Latif Nayar , Malik Shumaila Noreen
Published: December 2024

Strong contractions that prevent the fetus from moving through the birth canal, known as obstructed labour, were often due to a mismatch between the size of the fetal head and the pelvis. Despite being preventable, this condition significantly contributes to maternal and neonatal morbidity and mortality and is a leading cause of hospitalization. Objective: To assess the frequency and types of adverse maternal and fetal outcomes associated with obstructed labour in Tertiary Care Hospital, Dera Ismail Khan. Methods: This cross-sectional study was conducted at the Department of Obstetrics and Gynecology, Gomal Medical College, Dera Ismail Khan, from December 1, 2021 to June 1, 2022. The sample size was 193 calculated using WHO sample size software by convenient sampling technique. Adverse fetomaternal outcomes such as bladder trauma, uterine rupture, hysterectomy, sepsis, Postpartum Hemorrhage (PPH), birth asphyxia, and stillbirth were the outcomes of the study. All the data were entered on a pre-designed proforma and analyzed by SPSS version 25.0. Results: The age range for pregnant women was Participants between 18 to 40 years with a mean age of 28.689±3.05 years, the average gestational age was 37.492±2.24 weeks and the average parity was 1.507±1.51. Bladder trauma was observed in 8.3% of patients, ruptured uterus 15.5%, hysterectomy 7.8%, sepsis 19.2%, PPH 6.2%, birth asphyxia 56.5%, and stillbirth was 33.2%. Conclusions: This obstetrical emergency affects relatively younger women with a mean age of 28.69 years, with a mean gestational age of 37.49 weeks. Birth asphyxia and stillbirth were the common outcomes while maternal bladder trauma uterine rupture, hysterectomy sepsis, and postpartum hemorrhage were significant.
Predictive Factors of the Persistence and Remission of Irritable Bowel Syndrome at Tertiary Care Hospital
Authors: Samejo Khadim Hussain , Nangraj Ali Akbar , Humaira Mona , Memon Abeer , Ghani Tahoor , Faryal Sheeba
Published: December 2024

Irritable Bowel Syndrome is a functional gastrointestinal disorder that affects millions of people worldwide, characterized by chronic or recurrent abdominal pain associated with altered bowel habits in the absence of detectable structural or biochemical abnormalities. Objectives: To examine the clinical and demographic predictors of irritable bowel syndrome outcomes in a tertiary care hospital in Sindh, Pakistan Methods: A prospective study was conducted at the Department of Medicine and Gastroenterology of Liaquat University of Medical and Health Sciences, Jamshoro, from December 2022-July 2023. The study included 240 patients diagnosed with irritable bowel syndrome of all genders and ages of 18 to 60 years. Irritable bowel syndrome was diagnosed via Rome IV Criteria. Patients with clinical evidence of organic or metabolic diseases that may affect the bowel transit or cause abdominal pain along with the patients who were taking the medications for irritable bowel syndrome at the time of enrollment were excluded from the study. Results: Over six months, 167 (69.6%) participants showed symptom persistence, while 73 (30.4%) achieved remission. Irritable bowel syndrome D-subtype (p=0.03) and symptom duration under three years (54.8%; p=0.04) were significantly linked to outcomes. Psychological distress, especially stress, and non-digestive symptoms like backache and fatigue predicted persistence. Conclusions: The study concluded that a shorter symptom duration of less than 3 years along with irritable bowel syndrome D as a predictor of improved remission rates. Psychological distress, particularly high stress levels, along with non-digestive symptoms such as backache and fatigue, are significant predictors of symptom persistence.
A Biomarker-Centric Diagnostic Approach based on Neutrophil Percentage to Albumin Ratio (NPAR) for Diabetic UTIs
Authors: Samad Abdul , Zafar Shahid , Ahmed Mostafa Ahmed Abdellah , Ahsan Naveed , Rizwan Muhammad , Shaikh Shahid Pervez , Shah Muhammad Arsalan
Published: December 2024

The Neutrophil Percentage to Albumin Ratio (NPAR) was identified as a promising biomarker for identifying inflammation and renal complications in diabetic Urinary Tract Infections (UTIs). Objective: To evaluate the diagnostic potential of NPAR as a novel biomarker for the diagnosis and prognosis of diabetic UTIs. Methods: The current study was carried out according to PRISMA criteria to determine the prognostic value of the Neutrophil Percentage to Albumin Ratio (NPAR) in diabetic UTIs. The study (April 2024 to June 2024) was made on Google Scholar, Science Direct, PubMed with a date ranging from 2014 to 2024. Articles comparing NPAR effect on non-diabetic and diabetic UTI-related inflammation, immune cells suppression, comparison of NPAR to classic biomarkers with comorbidities and renal damage were taken for the review. Information was available from different world areas, such as the Asia Pacific, Europe, and the America’s for breadth. The first search found 162 papers, but 134 remained after duplicates were deleted, and these were screened and reviewed, resulting in the inclusion of 15 studies in the systematic review. Results: The findings of the study demonstrated that NPAR has higher reliability in diagnosing inflammation and prognosis than traditional biomarkers, especially in septic patients with hypoalbuminemia. Conclusions: Due to the reliability, sensitivity and specificity of NPAR, it was a potential biomarker for evaluating inflammation and prognosis of patients with diabetic UTI. Its implementation as part of clinical practice could extend understanding on disorder and early identification.
VERGİLEME VE İŞSİZLİK İLİŞKİSİ: EŞ BÜTÜNLEŞME TESTİ
Authors: Samancı Muhammed
Published: December 2024

Bu çalışmada Türkiye’de vergiler ile işsizlik arasındaki ilişki incelenmiştir. İnceleme konusu (1990-2023) yılları arasında vergi gelirleri ile işsizlik oranı değişkenler kullanılmıştır. Değişkenlerin aynı türden olması amacıyla toplam vergi gelirlerinin yüzdelik artışı dikkate alınarak iki değişkende oran olarak eş bütünleşme testi yapılmıştır. Çalışma sonucunda vergi gelirleri ile işsizlik oranları arasında bir etkileşimin var olduğu ve gerçekleştirilen sınamalar sonucunda değişkenlerin eş bütünleşik olduğu tespit edilmiştir. Buna göre değişkenler arasında uzun dönemli ilişki olduğu ifade edilebilir. Diğer taraftan regresyon modeli dikkate alındığında işsizlik oranında meydana gelen artışın vergi gelirlerini negatif yönde etkilediği tespit edilmiştir.
Lektisternij: bogovi za stolom u antičkom Rimu / Lectisternium: Gods at the Table in Ancient Rome
Authors: Župarić Drago , Brkan Seada
Published: December 2024

This paper on the lectisternium provides a detailed explanation of this ancient Roman ritual in its role as a key element in the religious and social practices of the Romans. The lectisternium was a ceremony in which the Romans prepared meals for their gods on specially arranged couches, creating the illusion of a divine presence at their feast. This ritual had a profound religious and social dimension, especially during times of crisis such as epidemics and wars, when the Romans prayed to their deities for mercy and protection. The ritual also promoted unity and solidarity among citizens, who opened the doors of their homes and temporarily set aside disagreements, thus bringing a conciliatory character to the ritual. Over time, as social and religious norms changed, the lectisternium gradually lost its significance, and was replaced with new rituals coinciding with the introduction of Christianity. The paper thus provides insight into the importance of this ritual in the context of Roman social and religious life, highlighting its role in shaping Roman social and religious structures.
Dva rimska nadgrobna spomenika iz istočne Bosne / Two Roman Tombstones from Eastern Bosnia
Authors: Popović Goran
Published: December 2024

This paper investigates Roman funerary monuments in Bosnia and Herzegovina, with a particular focus on the tombstones from Raševo and Konjević Polje. Thestudy analyzes two monuments: a rectangular stele from Raševo and a fragmentary stele  with a triple-arched niche from Konjević Polje. On the Raševo stele, two figures are depicted in the upper niche. Although the inscription field has been damaged by natural elements, the last two lines of the inscription are partially reconstructable. This funerary monument is dated to the 3rd century. In contrast, the stele from Konjević Polje is preserved only in fragments. The upper niche depicts two female and one male figure, with each figure distinctly displaying an emphasized right hand. Both stelai represent valuable sources for studying ancient history in a region scarce in written and material sources.
Utjecaj rudarstva na urbani razvoj Domavije / The Impact of Mining on the Development of Domavia
Authors: Šabanija Softić Ajla
Published: December 2024

Mining as a branch of the economy has always represented a very important factor for the development of the country, and very often influenced its fate. The paper presents the impact that mining had on the development of the Domavia area, and how it improved or changed the way of life of the then inhabitants and the fate of Domavia itself. In the ancient period, Domavia was the headquarters of the Roman mining district located near today’s Srebrenica, and due to the rich deposits of silverore during the Roman period, it was the object of interest of the Romans and thenmtheir conquest. The rich exploitation of silver ore leads it to the status of municipality, and then to the highest rank of municipality, colony, and at its peak it becomes the administrative-legal center for all the mines of the provinces of Dalmatia and Pannonia. Epigraphic monuments represent the basis for understanding the development of various events that followed Tilio’s area, and the development of Domavia was processed to the greatest extent with the help of this source. The progress that Domavia experienced thanks to mining is visible in all segments, primarily in architectural remains such as the curia (city hall), tribunal (courtroom), thermal baths, and the existence of the city market (macellum) and smelter, which, with the help of archaeological research, has been proven that Domavia had a developed urban culture like other large city centers of the Roman Empire. In addition, the development of Domavia resulted in numerous settlements of people of different ethnic origins who came there as traders, artisans or miners, and this consequently brought a rich, diverse religious culture.
Enhancing Efficiency in Virtualized Environments: Intelligent Solutions for VMware Errors through Artificial Intelligence and API Integration
Authors: Türker Gül Fatma , Budak Çetin
Published: December 2024

Today, virtualization technologies play a critical role in the information technology sector, enabling businesses to manage their infrastructures more efficiently and flexibly. However, the complex structure and extensive feature set of virtualization programs often lead users to encounter error codes and technical issues. This can result in significant time losses and decreases in productivity, especially for inexperienced users. To address these challenges quickly and effectively, the IT sector is increasingly focusing on integrated solutions developed with artificial intelligence and smart assistant technologies. This study introduces the "VMware Assistant" software, designed to address technical issues related to VMware products. VMware Assistant utilizes pre-trained AI models, APIs from various websites, and comprehensive error and warning datasets to automatically detect and provide real-time solutions for user issues. The system aims to alleviate the complexities associated with virtualization programs and offer practical support to users. VMware Assistant consolidates error and warning data from multiple sources, enabling users to swiftly access the information they need. As a result, it accelerates the resolution process for technical issues encountered in virtualized environments, allowing users to maintain workflow continuity. VMware Assistant was developed to facilitate the use of virtualization technologies, potentially enhancing productivity in the IT sector and contributing to technical support processes.
Impacto das redes sociais sobre o papel dos ondjangos na regulamentação sociaL
Authors: Carlos Júlio
Published: December 2024

The present article seeks to analyze the impact of the social nets on the paper of Ondjangos in the social regulation in the residents' of the neighborhoods Oven perception and Tchimucua and to verify the importance of Ondjangos for the communities of the neighborhoods Oven and Tchimucua. The African traditional societies always had their own forms of being and to be based on the common sense. To take to cable the research it was had in bill the context of development of the social nets and of Ondjangos as well as their functions like this, a methodology of approach mixed, quali-quantitative was used, and he/she made resource to methodological procedures as bibliographical revision, etnográfica and statistical; as well as the rising technique the inquiries for questionnaire. The social nets have a great influence in the life of anybody, however, Ondjangos and Otchoto that are being ignored for the social nets pant, once, some young ones prefer to be a long time in front of a screen (he/she wants is computer, telephone or television) of what to participate in a to talk. In fact, until the such adults that should gather the more youths in those places also, are rotten for the you measured, therefore, now no longer she do will be in turn of the bonfire at night, now it is been in turn of television larger part of the time.
NGHIÊN CỨU NỒNG ĐỘ RADON TRONG NHÀ Ở ĐƯỢC XÂY DỰNG BẰNG MỘT SỐ VẬT LIỆU PHỔ BIẾN TRÊN ĐỊA BÀN THÀNH PHỐ ĐÀ LẠT, TỈNH LÂM ĐỒNG
Authors: Sơn Trương Trường
Published: December 2024

Radon là một loại phóng xạ tự nhiên hiện diện trong đất, đá và vật liệu xây dựng. Các nghiên cứu đã được công bố trên thế giới chứng minh rằng khu vực có nồng độ Radon tập trung cao gây ra nguy cơ ung thư phổi cho con người. Vì vậy nhóm nghiên cứu đã tiến hành đo thực nghiệm và so sánh nồng độ khí Radon tại một số kiểu nhà phổ biến tại Đà Lạt, bao gồm nhà gỗ, nhà xây bằng gạch và biệt thự cổ, sử dụng máy đo Radon Eye+ của Hàn Quốc. Kết quả thu được cho thấy nồng độ khí radon trong nhà thay đổi theo quy luật hình sin với giá trị lớn nhất (109 Bq/m3) vào sáng sớm và giá trị nhỏ nhất vào chiều tối (7 Bq/m3). Nồng độ khí radon trong các kiểu nhà phổ biến trên và liều hiệu dụng không vượt quá giá trị khuyến cáo của Tổ chức y tế thế giới (150 Bq/m3) (IAEA W. , 2015). Tuy nhiên, chúng tôi vẫn đưa ra một số biện pháp khắc phục nhằm giảm thiểu nồng độ khí radon hít phải thấp nhất có thể.
KHẢO SÁT KHẢ NĂNG ỨC CHẾ NẤM BOTRYTIS CINEREA CỦA HỆ NANO TINH DẦU MÙ TẠT, TỎI, SẢ CHANH VÀ ĐINH HƯƠNG
Authors: Mai Trần Thị Ngọc , Ngọc Phạm Bảo , Cường Lê Xuân , Trang Nguyễn Ngọc Thùy , Đào Vũ Ngọc Bích , Hiệp Nguyễn Minh , Toàn Lê Văn
Published: December 2024

Nấm Botrytis cinerea gây bệnh mốc xám trên cành, lá và quả của nhiều loại cây trồng, gây thiệt hại năng suất đáng kể. Nghiên cứu này nhằm mục đích đánh giá hiệu quả ức chế nấm Botrytis cinerea của các tinh dầu thực vật mù tạt, tỏi, sả chanh, đinh hương ở dạng nano đơn lẻ hoặc kết hợp với nhau trong điều kiện in vitro. Đầu tiên, tinh dầu thực vật (mù tạt, tỏi, sả chanh, đinh hương) được đóng gói vào hệ mang nano, sau đó, hiệu quả kháng nấm được thực hiện bằng phương pháp khuếch tán đĩa thạch. Kết quả cho thấy hệ nano tinh dầu tỏi kết hợp hệ nano tinh dầu mù tạt có hiệu quả ức chế nấm tốt nhất trong điều kiện in vitro.
Clinical profile and visual outcomes in post-fever retinitis−a case series
Authors:   Vitreo-Retina Consultant, Sewa Sadan Eye Hospital, Bhopal, Madhya Pradesh, Paliwal Sonal , Upadhyaya Prerna ,   Vitreo-Retina Consultant, Sewa Sadan Eye Hospital, Bhopal, Madhya Pradesh
Published: December 2024

Post-fever retinitis mostly represents a para-infectious etiology with a seasonal pattern in endemic areas without a uniformly identifiable cause. It mostly affects young immunocompetent individuals and has a self-limiting course. We present a single-center retrospective case series of five patients presenting with acute retinitis, following a febrile illness with no specific etiology from December 2022 to January 2023. The retinitis lesions had a sudden onset with rapid evolution, preceded by a febrile episode within one month of presentation, in all cases. Serology testing was non-contributory in guiding the therapy. Oral corticosteroid therapy was effective in the resolution of lesions and improving the visual outcomes. Post-fever retinitis is easily diagnosed on the basis of clinical features and a history of flu like illness and responds very effectively to oral corticosteroid therapy.
Classification, Importance, and Pathogenicity of Facklamia Species and Related Bacteria
Authors: Mahmood Haddad-Aamer Rajab , Abdullah Basima A
Published: December 2024

Facklamia is a genus of Gram-positive, facultatively anaerobic cocci, first identified in 1997. These bacteria are part of the family Aerococcaceae, closely related to other lactic acid bacteria in the order Lactobacillales. The genus currently includes species like Facklamia hominis, Facklamia ignava, and Facklamia languida, which are often found in human clinical samples including blood, cerebrospinal fluid, and wounds. While typically harmless in healthy individuals, Facklamia infections can lead to serious complications in immunocompromised patients or those with underlying conditions and are implicated in infections such as bacteremia, paendocarditis, and chorioamnionitis. The recognition of Facklamia in clinical settings has grown, necessitating more research into their epidemiology and significance. Facklamia species are catalase-negative and typically form small chains or clusters. Accurate identification of these bacteria is critical due to their close resemblance to other cocci, such as Streptococci, under a microscope. The pathogenic mechanisms of Facklamia are not fully understood, but they are increasingly associated with nosocomial infections, particularly in vulnerable patient populations. Accurate diagnostic methods and awareness of Facklamia's pathogenic potential are critical for effective treatment.
Shewanella: Pathogenicity Classification and its Relationship with Biofilm Formation
Authors: Abdulmaged Inas Muneer , Ibrahim Tariq Zaid , Hadad Mustafa F , Abdullah Basima A , Saaadi Ali M
Published: December 2024

This narrative review collecting the data about the rare pathogenic bacterium called Shewanella and due to its clinical importance writing about it considered good idea to highlight some of its characters, classification, distribution, the infection and diseases related with it. It’s clear from the data collected that this pathogenic bacterium considered a direct agent for clinical infection (skin, ear, nose, throat, soft tissue, chest, and abdominal cavity infection The study confirmed that Shewanella is a major cause of diarrhea also it possesses genes that cause its virulence. Shewanella has in vitro hemolytic activity in different temperature this one of its pathogenic ability in addition to possessing enzymatic activity like protease which makes it protected against the immune system. On the medical sides this bacterium can cause infection due to its marine natural habitant so it maybe come from aquatic activity by direct contact, also immuno compromised patients are more susceptible to infection and we should remember that this pathogen is one of the microorganism that listed as (nosocomial infection pathogen).
Empowering Responsible AI Adoption: A Human-in-the-Loop Framework for Small and Medium Enterprises (SMEs)
Authors: Joshi Himanshu , Vaidya Sahaj
Published: December 2024

Small and Medium Enterprises (SMEs) are increasingly recognizing the potential of Artificial Intelligence (AI) to boost efficiency and innovation. However, responsible AI adoption remains a challenge due to limited resources and technical expertise. This research paper addresses this gap by proposing a novel, human-in-the-loop (HiTL) framework specifically designed for SMEs. It builds upon existing literature on AI governance, identifies key challenges faced by SMEs, and presents a practical framework with tangible outputs that can be readily implemented.
Effect of Carnitine on Hariana Bull Spermatozoa Function After Cryopreservation
Authors: Yadav Brijesh Kumar , Agrawal Jitendra Kumar , Gangwar Kavisha , Swain Dilip Kumar , Yadav Brijesh , Kumar Anuj , Sachan Vikas , Anand Mukul , Kumar Brijesh , Saxena Atul
Published: December 2024

BACKGROUND: Carnitine reduces reactive oxygen species-induced apoptosis and DNA fragmentation through its antioxidant effect. OBJECTIVE: To investigate the effect of carnitine on capacitation, mitochondrial activity, acrosomal integrity, reactive oxygen species (ROS),
membrane fluidity, and DNA fragmentation during the cryopreservation of Hariana bull spermatozoa. MATERIALS AND METHODS: Thirty-two semen ejaculates were obtained using artificial vagina (AV) from four seemingly healthy Hariana bulls. Following dilution, the diluted semen samples were
split into four aliquots: Group I, the control, included no carnitine; Groups II, III, and IV were the aliquots that contained carnitine supplements of 2.5, 5, and 10 mM, respectively. These four diluted semen samples were then processed immediately for freezing and equilibration. RESULTS:
Regarding post-thaw sperm parameters, such as viability, motility, velocity parameters, capacitation status, mitochondrial activity, acrosomal integrity, reactive oxygen species (ROS), membrane fluidity, and DNA fragmentation, Groups II and III, containing 2.5 mM and 5 mM carnitine respectively,
had significantly (P<0.05) improved parameters compared to the Group I (control). At 5 mM, there was a substantial (P<0.05) decrease in early apoptotic-like alterations in sperm cells, accompanied by a greater population of sperm cells with high mitochondrial membrane potential. CONCLUSION:
Carnitine has been shown to have cryoprotective properties in semen extenders. For improved postthaw sperm quality, carnitine may be added to a Hariana bull semen extender at a dose of 5 mM.