bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence and Predictors of Hypertension among Army Personnel in Adekunle Fajuyi Military Cantonment, Ibadan, Nigeria
Authors:   Department of Community Medicine, University of Medical Sciences (UNIMED), Ondo, Nigeria., DO Ibirongbe , OO Abioye ,   Department of Community Medicine, Federal Teaching Hospital (FTH), Ido-Ekiti, Nigeria., WO Adebimpe ,   Department of Community Medicine, University of Medical Sciences (UNIMED), Ondo, Nigeria., MC Asuzu ,   Department of Community Medicine, University of Medical Sciences (UNIMED), Ondo, Nigeria.
Published: May 2024

Background: Hypertension is one of the most prevalent non-communicable diseases globally. Hospital records show that it is a common reason for out-patient visits and admissions. This study was conducted to determine the prevalence and predictors of hypertension among Army personnel in Adekunle Fajuyi Cantonment, Ibadan, Nigeria. Methods and materials: This descriptive cross-sectional study was conducted among 400 officers and soldiers selected through a stratified random sampling method. Interviewer-administered questionnaire was used to collect data. Measurement of blood pressure, height and weight was done using standardized instruments and methods; urinalysis was done with Uristix. Hypertension was defined as systolic BP≥140 mmHg, diastolic BP≥90 mmHg or being currently on antihypertensive drugs. Data was analyzed with SPSS version 20. Chi-square test and logistic regression were used to test associations with level of significance set at ≤0.05.
Health Inequalities Associated with Climate Change: An Urgent Public Health Concern
Authors:   Private Practice, Oral, Maxillofacial and Reconstructive Surgery, Aiea, Hawaii 96701, USA., YS Lee Cameron , Suzuki Jon B ,   Clinical Professor, Department of Periodontics, Nova Southeastern University, USA.
Published: May 2024

Climate change is negatively affecting human health and is well documented. Annually, over 8 million people die of fossil fuel air pollution worldwide. If no action is taken to mitigate the effects of climate change morbidity and mortality will continue, especially vulnerable marginalized populations (African Americans, Hispanics, Asians) that contribute the least to greenhouse gas emissions and pollution. This is propelled primarily through consumption of fossil fuels and carbon emissions. Climate change has proven challenging and effective policies are needed to mitigate the adverse effects on communities. Public health officials must advocate for continued systemic change that advances environmental justice and health equity. If no action is adopted, then over the next few decades increases in morbidity and mortality will continue to rise.
Oat (Avena sativa L.): A Lesser known Cereal with Well Recognized Nutritional Potential
Authors:   ICAR-Indian Grassland and Fodder Research Institute Jhansi, UP 284003, India., Verma Reetu
Published: May 2024

Oat (Avena sativa L.) is an incredible cereal gaining considerable attention now days. Oat grain is abundant in nutrients and health promoting compounds, making it suitable as food and feed. The oat grain has diverse content of nutrients, dietary fibers and phenolic compounds in comparison to other cereals which are beneficial to mankind. Thus, the core aim of this article is to provide insight and comprehension about the nutritional status of oat and their impact on human health.
Association Between Household Food Insecurity and Dizziness or Balance Disturbance in Korean Older Adults
Authors:   Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Kong Eun-Kyung , Kang Hee-Cheol ,   Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Lee Ji-Won ,   Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Seon Eun-Seong ,   Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Kim Yun-Ji ,   Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Lee Yae-Ji ,   Department of Biostatistics and Computing, Yonsei University, Seoul 03722, Republic of Korea.
Published: May 2024

Background: Food insecurity is defined as economic and social conditions that limit access to enough food to live a healthy life. The elderly are among the first to experience food insecurity, and we aim to investigate the association between food insecurity and dizziness, one of the most common complaints in geriatric health. Methods: This study was a cross-sectional study used data from the eighth of the Korea National Health and Nutrition Examination Survey. Of the 22,559 participants, 3002 participants over the age of 60 were studied. Food insecurity was assessed by asking 18 questions. The sum of the 18 questions was calculated and categorized into the food security group, the early stage of food insecurity group, and the food insecurity group. Then we analyzed differences in the prevalence of dizziness between the three groups.
Change in Sexual Behaviour Among Men Who have Sex with Men During the COVID-19 Pandemic in the Czechia
Authors:   Faculty of Economics, University of West Bohemia, Pilsen, Czech Republic., Sekera Jan Carlos
Published: May 2024

Introduction: The study sought to identify changes in sexual activity during the COVID-19 pandemic among men who have sex with men. Methods: The descriptive cross-sectional study used a questionnaire survey distributed on social networks using the snowball method in the Czech Republic. Statistical procedures were performed in SPSS and MS Excel. After descriptive statistics, association analysis was performed using the Pearson x2 test. Cramer’s V and the Contingency Coefficient were used to verify the strength of the association. Pearson’s adjusted standardized residuals were analyzed to interpret the associations.
Maternal-Neonate Microbiome: Considerations for Future Studies
Authors:   Ross University School of Medicine, Bridgetown, USA., Merhavy Zachary I
Published: May 2024

The vital relationship between a mother’s natural vaginal mucosa and an infant’s healthy development is tied closely to one another. Recent studies have revealed that transferring this maternal microbiome to an infant during delivery may play a primary role in developing a child’s immune system, among many other critical components of physiologic development well into adulthood. Conversely, some studies suggest that infants delivered via cesarean section who bypass this transfer of microbiota may have an increased risk of specific health deficits. Though many of these studies retain a wide range of depth, certain diseases and conditions have been identified to have higher rates of occurrence among cesarean-delivered infants, such as asthma, obesity, diabetes, allergies, ADHD, intestinal and respiratory infections, autism, dermatitis, inflammatory conditions, immune susceptibility, and more. This paper explores each of these claims through a literature review as well as proposes several considerations and indications for future studies involving the vaginal seeding of cesarean-delivered infants to compare health outcomes between infants delivered vaginally as well as cesarean alone. This qualitative study provides the opportunity for a potential change in standard clinical practice for cesarean sections, possibly shedding light on a new method of preventative medicine that has been seldom explored, which may assist in lowering the overall disease burden within populations.
Antimicrobial Susceptibility Profiles of Diarrheagenic Escherichia coli Strains Isolated in Children Below Five Years and Food Animals Kisumu County, Kenya
Authors:   School of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya., Yeda Redemptah , Makalliwa George ,   School of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya., Ouma Caroline ,   Department of Diagnostic and Laboratory Systems Program, Center for Disease Control, Kisumu, Kenya., Anguko Elekiah ,   Department of Diagnostic and Laboratory Systems Program, Center for Disease Control, Kisumu, Kenya., Gachohi John ,   School of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya., Kikuvi Gideon ,   School of Public Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Published: May 2024

Background: Diarrheagenic Escherichia coli (DEC) are the major cause of diarrhoea in children in developing and undeveloped countries. Domestic food animals act as reservoirs of DEC that are transmitted to children below five years through inadequate hygiene practices. Aim: To determine the antimicrobial susceptibility patterns of DEC strains isolated from children below five years and food animals in Kisumu County. Methods: A total of 250 samples, were collected and analyzed using polymerase chain reaction. The antimicrobial susceptibility was determined using Kirby-Bauer disc diffusion method. Results: Enteroaggregative E.coli (12%), Enteropathogenic E.coli (5%), Enterotoxigenic E.coli (3%) and mixed infections (3%) respectively. From the DEC children sample isolates, antimicrobial agents showed 84.6% sensitivity towards Meropenem followed by Gentamicin (80.8%) and then Nalidixic acid (73.1%). High resistance was recorded among the Tetracycline and Sulfamethoxazole antibiotics. Of the 26 DEC children sample isolates, 24(92%) exhibited multidrug resistance patterns: 46% showed resistance to four different antibiotics, 38% to five different antibiotics and 4% to six different antibiotics. Animal samples showed 100% susceptibility to most antibiotics, with only two isolates showing multidrug resistance to five antibiotics and one showing resistance to four and three antibiotics, respectively. The multidrug index value for the DEC pathotypes isolated in children was 0.5, indicating a high risk of DEC transmission.
Bridging Compartmental Models and Network Analysis in Epidemiological Modelling
Authors:   NOVA Information Management School (NOVA IMS), New University of Lisbon, Campolide Campus, 1070-312 Lisbon, Portugal., M Mendes Jorge , Baptista Helena ,   NOVA Information Management School (NOVA IMS), New University of Lisbon, Campolide Campus, 1070-312 Lisbon, Portugal., MacNab Ying C ,   Epidemiology and Biostatistics, School of Population and Public Health, University of British Columbia Vancouver, Canada.
Published: May 2024

In this study, the authors undertake a comparative analysis of compartmental models and network analysis as means of simulating the propagation of infectious diseases. Compartmental models operate under the assumption of homogeneous mixing, which is often a flawed assumption as individuals tend to engage in varied contact patterns based on their surrounding environments. On the other hand, social network analysis accounts for the intricate web of interpersonal connections between individuals, thereby offering a more realistic portrayal of social behaviour. However, network analysis can be computationally demanding, rendering its application in real-time epidemic modelling challenging. By conducting a series of simulations utilising the SIR model and network analysis, the authors accentuate the merits of a hybrid modelling approach that integrates the strengths of both compartmental models and network analysis while mitigating their respective limitations. Additionally, the authors suggest plausible avenues for future research.
Detection of Various Botnet Attacks Using Machine Learning Techniques
Authors: Rituparna Borah
Published: May 2024

With the rapid growth in the quantity of Internet of Things (IoT) devices linked with the network, there exists a concurrent rise in network attacks, including overwhelming and service disruption incidents. The increasing prevalence of network attacks, such as overwhelming and service denial, poses a threat to IoT devices, leading to network disruptions and service disruption. Detecting these attacks is challenging due to the diverse array of heterogeneous devices in the IoT environment, making traditional rule-based security solutions less effective. Developing optimal security models for diverse device types is challenging. Machine learning (ML) offers an alternative approach, enabling the creation of effective security models by leveraging empirical data specific to each device. We utilize machine learning techniques for the detection of Internet of Things (IoT) attacks. Our focus is on botnet attacks directed at variety of IoT devices. We undertake the development of machine learning-based models tailored to each specific category of device for enhanced security. We utilize the N-BaIoT dataset, which incorporates injected botnet attacks (specifically Gafgyt and Mirai) across diverse IoT device types, including Doorbell, Baby Monitor, Security Camera, and Webcam. We develop models for detecting botnets for each IoT device by utilizing diverse machine learning algorithms. Following model development, we assess the utility of the models with a strong detection F1-score through classification analysis. The novelty of this work lies in crafting a Machine Learning-based framework designed to identify IoT botnet attacks, followed by successful detection of such attacks across diverse IoT devices utilizing this framework. Among the most widely used machine learning algorithms on the NBaIoT dataset, Decision Trees, Random Forests, and K-Nearest Neighbors (KNN) demonstrate superior performance.
SÜREKLİ KRİZ EĞİLİMİ VE HETERODOKS MALİYE POLİTİKASININ ÖNEMİ
Authors: Özuğurlu Hilmiye Yasemin
Published: May 2024

Bu çalışma, ekonomik sistemin işleyiş mekanizmasının sürekli kriz üretme eğilimine dayandığını ve bu eğilime bağlı olarak heterodoks yaklaşıma dayalı maliye politikasının önemini ele almaktadır. Kapitalist sistemde kamu maliyesinin işlevleri, devletin ekonomiye müdahale araçlarının kullanım biçimi ile yakından ilişkilidir. Birbirine bağlı ekonomik ve siyasal alanların çeşitli biçim ve yöntemlerle görünürde ayrışması kapitalist sistemin temel özelliğini oluşturmaktadır. Maliye politikası devletin kamu bütçesi yoluyla ekonomik ve sosyal yapıyı yeniden düzenlemesinin önemli bir aracı olarak ekonomik ve siyasal süreçler arasındaki ilişkiyi görünür kılmaktadır. Dolayısıyla bu çalışmada maliye politikasının iktisadi gelişmenin bütün süreçleri açısından önemli bir müdahale aracı olduğu savı ileri sürülmektedir. Bu çerçevede heterodoks yaklaşımlar iktisadi, sosyal ve siyasal süreçleri tarihsel bağlamları içerisinde bir bütün olarak ele almaya ilişkin kuramsal temel oluşturmaktadır. Dolayısıyla heterodoks ve ana akım yaklaşımların, devletin işlevleri, kamu maliyesi anlayışı ve maliye politikası seçenekleri arasındaki farkları ifade edecek biçimde bir ayırıma tabii tutulabileceğini önermektedir. Buradan hareketle heterodoks yaklaşıma dayalı maliye politikası seçeneklerinin derinleşerek devam etmekte olan ekonomik krize karşı bir çözüm aracı olma potansiyeli taşıdığı ve bunun gerekliliği tartışılmaktadır.
The Oil Industry in Ecuador: History, Current Situation and Challenges
Authors:   Research Group YASUNI-SDC, Escuela Superior Politécnica de Chimborazo, Sede Orellana, Mora-Silva Demmy , Bravo María Belén ,   Escuela Superior Politécnica de Chimborazo, Sánchez María José , Álvarez-Barba Renata ,   Escuela Superior Politécnica de Chimborazo, Mestanza Ramón Carlos
Published: May 2024

Etymologically, the word petroleum comes from the Latin words petro (rock) and oleum (oil): rock oil. Petroleum is a complex natural mixture of hydrocarbon compounds found in a rock. It originated from the decomposition of organic matter over long periods, when the Earth was very unstable and was populated by dinosaurs, dinosaurs populated by dinosaurs, plants and trees that were buried and transformed into hydrocarbon by pressure and heat. In more detail, hydrocarbon reservoirs are generally found in sands, sandstones, conglomerates, limestones and porous dolomites. The compaction of the sediments where the oil originates is in a sedimentary rock called source rock. After its formation, the migration of hydrocarbons takes place. This is a slow process, not known until now, where fluids seek lower pressures and migrate to the surface. For a reservoir to form, it is necessary for the oil to encounter some obstacle, formed by source rocks, which prevent it from continuing to migrate to the surface. The structures that fulfill this purpose are called oil traps and the rock where the oil finally accumulates is called reservoir rock and must have an adequate porosity to contain it. The largest oil reserves are concentrated in a few countries, while the largest consumers are almost devoid of the resource. This makes access to reserves an important factor in geopolitical terms. important factor in geopolitical terms. The oil exploration and production industry face numerous challenges as it addresses the world's growing demand for energy. Especially now, when there is a huge need for sustainable operations, declining production from older fields and the discovery of new resources in demanding environmental settings. In this sense, this study analyzed the history, current situation and challenges of the oil industry in Ecuador.
Rezension von: Lindauer, Gerhard, Beiträge zur Erfassung der Verstädterung in ländlichen Räumen
Authors: Ulshöfer Kuno , Lindauer Gerhard
Published: May 2024

Gerhard Lindauer: Beiträge zur Erfassung der Verstädterung in ländlichen Räumen. Mit Beispielen aus dem Kochertal (Stuttgarter Geographische Studien. Band 80). Stuttgart 1970, 247 S., Ill.
Rezension von: Gradmann, Eugen u.a., Kunstwanderungen in Württemberg und Hohenzollern
Authors: Ulshöfer Kuno , Gradmann Eugen
Published: May 2024

Gradmann-Meckseper: Kunstwanderungen in Württemberg und Hohenzollern. Stuttgart: Belser 1970. 4. völlig neu bearbeitete Auflage 512 S. Ill.
Heuristic Evaluation on Augmented Reality Basic Reading Courseware (AR BACA-MV-SindD) for Down Syndrome Learner
Authors: Ramli Roslinda , Badioze Zaman Halimah
Published: May 2024

The development of Augmented Reality (AR) courseware for down syndrome learner should not only take advantage of the technological advances, but also pay close attention to the usability of the product that meet the target user’s requirement. In this paper, we describe the heuristic evaluation of AR BACA-MV-SindD; a courseware for down syndrome learner in learning basic reading by using Augmented Reality technology. This study employs heuristic evaluation (HE), which is one of the inspection methods. Heuristic evaluation was chosen because it does not involve the end user. Previous studies have shown that more problems can be identified using this kind of evaluation. Several experts from different fields were involved in this evaluation. Based on the evaluation made, several disadvantages of AR BACA-MV-SindD have been identified. In addition, experts have provided some feedbacks to further improve the courseware. This paper includes a report of a heuristic evaluation which used a five point Likert scale. A questionnaire for this heuristic evaluation consists of three constructs: interface, education and augmented reality technology. As conclusion, the heuristic evaluation can be an effective and efficient way to identify usability problems in the early stage of software development. Thus, usability should be given high priority in the development of AR courseware especially for special needs students like down syndrome learner
Technology-assisted Dysgraphic Children Handwriting Model
Authors: Rahim Norsafinar , Husni Husniza , Jamaludin Zulikha
Published: May 2024

Difficulties in handwriting or dysgraphia can have a negative effect on one’s self-esteem and academic achievement in school. This phenomenon is considered a detriment when students have difficulty expressing knowledge through writing; causing extra hardship in mastering all subjects they are learning. Past studies did not deliberate on specific components related to the intervention of dysgraphic students’ handwriting skills development comprehensively, as can be seen in today’s existing handwriting models. Therefore, this study focused on the underlying models of dysgraphic students’involving the main components in the writing process, and the components of ICT support. The principles of modeling with the potential impact of 1) visualization, 2) imagination, and 3) automation in writing need to be considered in addition to the mastery of writing skills. With such a specific model, solutions to these dysgraphic students’ handwriting skill problems can be generalized. Therefore, the main objective of this study was to propose a technology-assisted Dysgraphic Children Handwriting Model (DCHM) to address the problems encountered. This DCHM was validated by four experts – three special education teachers and a paediatric and adolescent psychiatrist. The resulting score was calculated as a percentage value based on the total score obtained for each question. The average percentage for all the criteria evaluated was 91.5%. Overall, all four experts agreed on the key components of the DCHM supported by the ICT component. This study is important for considering handwriting development more holistically and to identify the performance of students’ handwriting in the context of a robust handwriting model.
Information Security Compliance Framework for Data Center in Utility Company
Authors: Velayutham Yuvaraaj , Samy Ganthan Narayana , Maarop Nurazea , Hassan Noor Hafizah , Hassan Wan Haslina , Pertheban Sivakumar , Perumal Sundresan
Published: May 2024

The utility organization has already implemented some of security framework and compliance in their data center to secure the data centers of valuable information. However, the implementation of security framework and compliance, still has several issues relates to some restricted areas. There is no effective security framework and compliance, being implemented in their data center such as access control management system at the entrance of the building zone. Therefore, the objective of this research is to develop information security compliance framework in data center in utility company. This research applied qualitative method namely semi structured interviews for data collection. The contribution of this research will help professionals and security management organizations to understand the best ways they can be used to improve physical security within the context of information security compliance frameworks that play an important role.
The Usability and User Experience of Sekolah Pengaturcaraan Mobile Learning
Authors: Yaacob Nurul Ibtisa , Rushdi Muhammad Zahiruddin , Mustapa Kamal Khairul Mustakim
Published: May 2024

The study aims to analyze the usability and user experience of users that have used Sekolah Pengaturcaraan (School of Programming) mobile learning. Sekolah Pengaturcaraan has been developed using the Android platform. This application provides a new learning medium via mobile platform to deliver content about learning HTML for FSTM students. This is a quantitative research and questionnaire has been used as the research instrument. The questionnaire being used was taken from the previous study with a minor modification. The selection of study respondents based on voluntary methods and a total of 57 data was successfully collected. This study used descriptive analysis to measure the users’ perception towards the application usability and user experience. The findings showed that the application was at a high usability level and the users also have satisfied with user experience of the application. This can be seen as the mean score for all questionnaire items are at a high level. As a conclusion, the use of mobile application in learning HTML through Sekolah Pengaturcaraan mobile learning can help in increasing students’ interest and motivation towards learning programming much faster and easier, yet interesting and interactive.
Concordancia en la medida de la distancia entre la tuberosidad anterior de la tibia y el surco troclear en la tomografía axial de rótulas a 20 grados de flexión con respecto a 0 grados
Authors: Romero Diana Marcela , Gómez Carolina , Coronel Pablo José , Mariño Jaime , Zapata José Ignacio
Published: May 2024

Antecedentes: El mal alineamiento patelofemoral es una patología frecuente en jóvenes. Con un diagnóstico temprano se puede hacer una intervención oportuna, por lo que la distancia entre el surco intertroclear y la tuberosidad anterior tibial (SIT-TAT) es fundamental para indicar qué pacientes necesitan cirugía. Actualmente, la tomografía axial de rótulas se toma con cortes a 0, 20 y 45 grados de flexión; aunque en la literatura no existe suficiente información que especifique y justifique los grados de flexión que se deben usar. Objetivo: Establecer si existe concordancia entre las medidas de SIT-TAT realizadas a 20 y 0 grados de flexión. Metodología: Se realizó un estudio de concordancia, incluyendo 90 pacientes para un total de 180 rodillas. A estas imágenes se les realizó la medida SIT-TAT interponiendo cortes a 0 grados y a 20 grados, para evaluar si existe concordancia entre estas dos medidas. Resultados: Se observó una concordancia de 0,909, casi perfecta, entre la medición a 0 y 20 grados de flexión en el lado izquierdo y una concordancia de 0,8872, casi perfecta, entre la medición a 0 y 20 grados de flexión en el lado derecho de las imágenes evaluadas. Conclusiones: Se encontró una concordancia casi perfecta entre las medidas de SIT-TAT realizadas a 0 y 20 grados de flexión, lo que quiere decir que no hay diferencia en la toma de la medida a estos grados. Los autores proponen que los protocolos de TAC de rótulas se tomen a 20 grados, soportados por la biomecánica de la rodilla, debido a que la estabilidad de la flexión a 20 grados se basa principalmente en la restricción ósea, así como también por la disminución en la dosis de radiación. Se sugieren futuras investigaciones con protocolos estandarizados a 20 grados de flexión.
An Examination of the Immunologic Features of Recurrent Aphthous Ulcers during Their Entire Course
Authors: Liu Shunan , Wu Wenhui , Yan Xu , Zhang Jing , Wang Yi , Wu Jieli
Published: May 2024

Recurrent aphthous ulcer (RAU) is a frequent oral mucosal illness that can affect all areas of the oral mucosa. Its symptoms include erosion, ulcers, and localized oral mucosal congestion. Its pathogenesis and etiology, however, are convoluted and uncertain. As of right now, the prevailing opinion is that immunological factors, vitamin deficiencies, infections, genetic anomalies, and other factors may play a role in its development. The body's immune-related components, such as cytokines (interleukin gamma Interferons), humoral immunity (complement, immunoglobulin), and cellular immunity (T lymphocyte subpopulations), are now widely acknowledged as being key players in the pathophysiology of the condition. In patients with RAU, the alterations in the amounts of many immune-related components are extremely intricate. This paper outlines the roles of immune regulation and the alterations in immune factor levels throughout the onset and healing of RAU. This paper can be used as a reference to learn more about the process underlying mouth ulcers and to treat and lower the disease's recurrence rate.
Case Report of Multiple Rectosigmoid Adenomatous Polyps and Its Management i.e. Transanal Endoscopic Microsurgery
Authors:   B. J. Medical College, Pune, Maharashtra, India, Ekbote Gajanan , Puntambekar Shailesh ,   B. J. Medical College, Pune, Maharashtra, India
Published: May 2024

Adenomatous polyps in the colorectal region are prevalent. On account of its rarity and effective excision using Transanal Endoscopic Microsurgery (TEM) with assistance from a Covidien Small Incision Laparoscopic System (SILS) Port, we present this case of an adenomatous polyp wherein the patient complaints of per rectal bleed. Most frequently asymptomatic, adenomatous polyps are the most prevalent. In the present case, five to six polyps were found in the rectosigmoid area during colonoscopy. Rectal bleeding, stomach pain, and changes in bowel function that have a high malignant potential are the most typical symptoms associated with polyps. Large rectal adenomas should only be treated with TEM at this time, and traditional Trans Endoscopic (EMR/ESD) should be stopped. Despite the availability of newer procedures like endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD), TEM is still the method of choice. TEM is not recorded in our country up till now. This is the first time it is performed in our country. Keywords: Adenomatous Polyp; Transanal Endoscopic Microsurgery; Small Incision Laparoscopic System; Endoscopic Mucosal Resection; Endoscopic Submucosal Dissection
Use of Steroids in a Case of Hepatitis A Virus-Related Severe Cholestasis: Case Report and Review of Literature
Authors:   Department of Gastroenterology & Hepatology, Venkateshwar Hospital, New Delhi, India, Krishnan Aparna , Goyal Rohit ,   Department of Gastroenterology & Hepatology, Venkateshwar Hospital, New Delhi, India
Published: May 2024

Hepatitis A virus (HAV) infection is endemic in many underdeveloped countries. Prolonged cholestasis has been reported in 0.8% of HAV hepatitis related patients. We report a case of HAV related prolonged cholestasis and discuss the role of steroids in the management. Keywords: Hepatitis A; Prolonged Cholestasis; Liver Disease; Real World Evidence
The Impact of Global Citizenship Education (GCED) on Consumer Behavior: A Scoping Review on Sustainable Marketing Campaigns for GCED
Authors:   maryeasterclaire_torres@hotmail.com, fprsls@gmail.com, rsbiason@up.edu.ph University of Perpetual Help System-Laguna, Philippines, S. Perez-Torres Mary Easter Claire , P. Rosales Felbert , S. Biason Ricardo ,   Jose Zavalla Memorial Elementary School (DepEd-Sta. Rosa), Laguna, Philippines University of Technology and Applied Sciences-Oman
Published: May 2024

The pressing need to address global issues, including climate change and social inequality, underscores the significance of cultivating global citizens aware of their responsibilities. Global Citizenship Education (GCED) serves as a crucial educational approach, empowering individuals with the aptitude to responsibly engage with global challenges. This review focuses on the scoping review of finding the effect of GCED on consumer habits, particularly regarding sustainable marketing campaigns crafted for it. Analysis of primary research indicates consumers acquainted with GCED tend to favor environmentally friendly and ethical purchasing. Marketing endeavors embracing GCED concepts tend to be more effective, fostering sustainable consumer choices. This study reveals literature gaps and charts future research avenues, stressing the synergy of educators, marketers, and policymakers for enhancing eco-friendly consumer actions via GCED. This research offers valuable perspectives for enterprises wanting to synchronize their promotional efforts with global sustainability goals and educators aiming to amplify the tangible results of GCED. Keywords: Global Citizenship Education, Consumer Behavior, Scoping Review
Working To-Get-There: Student and teacher relationship towards a meaningful teaching and learning Experience
Authors:   https://orcid.org/0000-0002-7051-7764 jenalyngamboa32@gmail.com, arceolykajade4@gmail.com, rizzamarieguico@gmail.com, lacsonangelene20@gmail.com, patriciasugarno700@gmail.com, john.robinos@perpetualdalta.edu.ph, T. Gamboa Jenalyn , D. Arceo Lyka Jade , B. Guico Rizza Marie , N. Lacson Angelene , M. Sugarno Patricia , O. Robinos John Robby ,   Polytechnic University of the Philippines – Binan Campus University of Perpetual Help System DALTA – Molino Campus
Published: May 2024

The enhancement of a meaningful learning experience becomes more pronounced when positive relationships exist between teachers and students. Student-teacher relationships (STR) are intricately tied to the everyday scenarios prevalent in the current generation. They exert significant effects on student engagement, encompass common challenges that may impede the establishment of positive rapport, and are perceived to influence the actualization of a meaningful teaching and learning experience. Employing a convergent mixed-method approach, the study utilized an expert-validated interview protocol and survey questionnaire. Audio-taped semi-structured interviews and surveys among purposively selected (n=16) and randomly picked (n=250) Grade 10 students and teacher-participants computed through the Raosoft sample size calculator in Southville 5A Integrated National High School were performed. Based on the descriptive statistical tools and thematic analysis with themes validation through focus group discussion, the most common STR situations relate to collaborative, encouraging, and respectful affairs among students and teachers. The most common effects of STR on students’ engagement are linked to active participation, increased interest to learn, and improved self-confidence. Meanwhile, factors that hinder positive STR correlate with ineffective communication, poor classroom environment, and high teacher expectations. Further, positive STR impacts authentic learning, the realization of equity and equality, and the idea of learning from setbacks. To-Get-There and successfully achieve meaningful teaching-and-learning experiences, the study recommends ways to foster positive STR, addressing challenges, establishing effective communication including expectations, consistent provision of equal and equity opportunities, and the nurture of values among students and teachers such as empathy, respect, self-growth, and reflective thinking. Keywords: Convergent-parallel mixed research approach, Meaningful teaching-and-learning experiences, Student-teacher relationships, Binan City, Laguna, Philippine
Seroprevalence and Associated Risk Factors of Foot and Mouth Disease in Selected Woredas of the West Omo Zone, Southwest Ethiopia.
Authors: Reta Dawit
Published: May 2024

Aim and Background: Foot and Mouth Disease (FMD) is a prioritized transboundary animal disease, endemic in Ethiopia, and it has a high impact on cattle production and trade nationally and internationally.
Methods: To ascertain the sero-prevalence and identify the exposure factors connected to a seropositive FMD in cattle, a cross-sectional study was conducted in three weredas of the West Omo Zone from January 2022 to February 2022. Multistage sampling was used to take one study wereda based on agroecology from the highland, midland, and lowland of the zone. Selection of cattle herd and blood samples from cattle were taken by using a simple random method. The Statistical Package for Social Science Version 25 was used to analyze the pertinent data once it had been entered and coded into Microsoft Excel.
Results: The study area's FMD seroprevalence for individual cattle and at the herd level was 5.3% with a 95% confidence interval (3.51%–7.99%) and 77.78% (n= 9), respectively. The high herd level recorded during the current study was evidence that the disease has spread throughout the zone. Multinomial logistic regression analysis showed the age of the animal and study wereda are significantly(p<0.05) associated with the sero-prevalence of FMD in this study. High cattle movement to big markets and long exposure of old cattle to the disease may contribute to the significant association of the disease with these risk factors.
Conclusion: This study showed that herd-level FMD seropositivity is high, necessitating the identification of specific FMD serotypes and the commencement of appropriate FMD prevention and control strategies in the zone.
Research paper on Real TimeWildlife Observational Journal using MERN Stack Technologies
Authors:   Student,Computer Science And Engineering,SRMCEM,Lucknow,India", SINGH "RISHENDRA
Published: May 2024

The MERN stack is a popular technology stack used for developing web applications. It consists of MongoDB, Express.js, React, and Node.js. This paper discusses why the MERN stack is widely used and its advantages over previous technologies such as HTML, CSS, SQL, and NoSQL. The paper also provides a brief overview of the MERN stack components, their functionalities, and their role in developing web applications. Keywords-MERN stack, MongoDB, Express.js, React, Node.js, web applications, HTML, CSS, SQL, NoSQL, front-end, back-end.
Revolutionary 3D Design with AI
Authors:   Department of Computer Science and Engineering, Jawaharlal Nehru New College of Engineering, Shimoga, Siddiqa Ayesha
Published: May 2024

The 3D design delves into the creation and deployment of an innovative web experience that seamlessly merges Artificial Intelligence (AI) technology and captivating 3D visuals within a React-based framework. It demonstrates the utilization of AI algorithms for enhancing user interactivity, personalization, and the creation of dynamic 3D elements, fostering a captivating user experience. Embark on a transformative journey into the heart of fashion's evolution, this unveils a paradigm-shifting collaboration between Artificial Intelligence (AI) and 3D cloth design, heralding a new era of creativity and innovation within the fashion industry. This explores the fusion of Artificial Intelligence (AI) with 3D cloth design, revolutionizing the fashion industry's creative landscape. Integrating AI into cloth design processes allows for swift ideation, realistic simulations, and diverse fabric explorations, empowering designers to redefine fashion concepts efficiently. Key Words: AI,3D, Design.
BRAIN TUMOR DETECTION USING MACHINE LEARNING
Authors:   Department of Computer Science and Engineering, Jawaharlal Nehru New College of Engineering, Shivamogga, H G Mohan
Published: May 2024

Brain tumor detection via machine learning, specifically with MRI scans, is a significant advancement in medical imaging. The method aims to enhance diagnostic accuracy for brain neoplasms, aiding in early detection and precise classification. It involves preprocessing MRI data and employing convolutional neural networks (CNNs) to extract complex features. Training, validation, and testing utilize a large annotated dataset encompassing various tumor types and stages. Key steps include data collection, preprocessing, and feature extraction. Key Words: Brain tumor detection, Machine learning, MRI scans, Convolutional Neural Networks, Preprocessing, Annotated dataset.
WEATHER APP
Authors:   Students, Computer Science and Engineering, Babu Banarasi Das Northern India Institute of Technology, Khan, Mohd Amaan
Published: May 2024

In today's world, the challenge of instantly accessing accurate weather updates for specific locations is significant. Weather forecasting involves complex skills, requiring the observation and processing of vast amounts of data. From small, short-lived thunderstorms to large-scale weather systems spanning thousands of miles and lasting for days, the variability of weather phenomena adds to the difficulty of obtaining precise forecasts. This often leads to inconvenience and challenges for individuals. However, technology offers a solution to this problem. Through the development of an Android app using tools like Android Studio and APIs, users can receive real-time weather updates for their chosen locations. By leveraging technology effectively, this app aims to address the challenges associated with weather forecasting, providing users with timely and accurate information. In the modern era, the challenge of accessing precise and timely weather updates for specific locations is significant. Weather forecasting necessitates intricate skills involving the observation and analysis of extensive datasets. The spectrum of weather phenomena, ranging from brief thunderstorms to sprawling weather systems, further complicates the task of generating accurate forecasts. Consequently, individuals often encounter inconvenience and hurdles in planning their activities. Nevertheless, technology presents a viable solution to this issue. Key Words: Weather forecast,Real-time updates,Android app,Weather data,Location-based, Meteorology,Mobile application,Weather conditions,API integration,Android Studio,Weather alerts,Forecast accuracy
Weather Report Provider And Location Provider Using Google Map
Authors:   NIET, Greater Noida, India, Agarwal Rupesh
Published: May 2024

The purpose of this research title is to present a weather forecast report on various factors and attributes so we can learn more about them such as temperature, wind speed, clouds, sunrise and sunset times, etc. In addition to displaying the correct location, Google Maps makes it easier for people who don't know a particular place and are new to it to understand it more easily, which makes it a great deal easier for them to make any type of decision like traveling to that place. This type of information can be extremely helpful. Using our app, the map can be accessed directly to give you directions to a location by using the map feature on Google directly. One of the biggest benefits of our application is its effectiveness, ease of use, and ability to collect so much information on one page. Keywords—Weather Forecast, Weather Report, Google Maps, Machine Learning, Data Preprocessing.
CYBER COMPLAINT AUTOMATION SYSTEM USING BLOCKCHAIN
Authors:   Vidya Vikas Institute of Engineering and Technology [VVIET]  Mysuru, Karnataka, India, D Akash
Published: May 2024

Due to the Internet's quick spread and the digitalization of commercial activity, cybercrime has risen dramatically. Computers or data are the intended victim of cybercrime. This paper is about “Cyber Complaint Automation System”. The current cyber cell of Kerala police has a time-consuming approach. Complaint can be given in two ways. A written complaint can be given to cyber police station. Second option is to use cyber-crime reporting portal. In this portal user has to undergo four different steps to successfully register the complaint. These complaints are stored in a database and manually classified into respective departments. This methodology of a cyber-complaint takes a great deal of effort and time. The time wasted on current system helps the criminal in covering his track. As a result, the victim's time and money are squandered, and police receive criticism. We are working to create a software that will drastically shorten the time it takes to handle a complaint in an effort to remedy this scenario. Our system automates the process and prioritize emergency complaints. Thus helps the police to apprehend the criminal faster. Key Words: Custom Blockchain, AWS S3, Cybercrime, Complaint Automation System.
Comparative Study of RCC Structure of different types by using Shear Wall, Damper & Bracing System
Authors:   Kavikulguru Institute of Technology and Science Ramtek , Maharashtra,, Gaddamwar Palash Gajanan
Published: May 2024

In seismically active places, earthquake restrictions would provide a difficulty to the majority of multistory buildings. The fundamental issue in the design of the multi-story building is lateral stability, which is required to control lateral drift and displacement, withstand lateral pressures, and avoid buckling. Reinforced concrete (RCC) structures usually utilise a damper, bracing, and shear wall system to mitigate the impacts of seismic activity. Both systems have significant structural performance. Despite the fact that both technologies are used for the same purposes, their effects and behaviour in response to seismic load differ. The G+12 storey building, shear wall and bracings will all be considered in this project's analysis. The following criteria will be used to evaluate the building's performance: base shear, storey displacement, and storey drift. This research includes dampers, shear walls, and bracings at various places, and the Etabs 2018 programme will be utilised for the entire analysis.
OBJECT RECOGNITION AND LOCALIZING FOR VISUALLY IMPAIRED PEOPLE
Authors:   Asst. Professor, Dept. of Information Science & Engineering, Rajeev Institute of Technology, Hassan, H C Mrs. Nalini
Published: May 2024

It is estimated that there are already tens of millions of visually impaired persons in the world, accounting for a significant fraction of the population. Their integration into society is a primary and continuous objective. Assuring a healthcare system has required a great deal of work. Many guiding system solutions have been developed to assist people with vision impairments in leading normal lives. These systems are often designed with specific goals in mind. Nonetheless, these fixes can greatly increase the security and mobility of these people. Several frame rates are used to record the visual image. The processing of every acquired image comes next. The processing result will alert the user based on the object that was discovered and its position. Key words: computer vision, image processing, guidance system, and object recognition.
Smart Online Feedback System
Authors:   JAYAWANT COLLEGE OF ENGINEERING AND POLYTECHNIC, KILLEMACHINDRAGAD,SANGLI, Jadhav Sanket
Published: May 2024

This research suggests an smart online feedback system for examining teacher feedback in educational setting. To evaluate faculty performance based on a set of criteria and offer the required academic intervention program rooted in the creation of an all-encompassing faculty development program, the suggested system gathers all the pertinent information from the feedback, which is now an essential component of the educational system. Compared to the current feedback method, which asks students to rate teachers according to predetermined criteria, the suggested smart online feedback system (SOFS) is more adaptable and flexible. SOFS evaluates instructors' strengths and shortcomings in all areas that matter to pupils. Students, instructors, and the staff in charge of administering and processing the feedback system will all gain from the study's outcome. Through the anonymous use of an online platform called SOFS, students can evaluate their professors' performance using a predetermined set of evaluation criteria and questions. Higher-ups at the institute may also utilise this information to assemble faculty groups that are suitable for certain teaching and administrative responsibilities. With the help of a mobile device, the assessor conducts a paperless evaluation of the teacher under the proposed Online Faculty Monitoring and Evaluation System. Because the software evaluation results satisfied the researcher's goals, they should be developed further. The generated study was very helpful and may be a great help to the institution, according to the general means of the system evaluation. The faculty members' improved usage was a result of their evaluations. Keywords: Web-based application, Administrate activities, Software Evaluation, Performance, Internet, Website, Social Network Services.
PneumoCheck : Pneumonia Detection App
Authors:   Information Technology Department, HOD Priyadarshini College of Engineering, Nagpur, P.S. Dr.Prasad,
Published: May 2024

Pneumonia is among the most prevalent diseases, and due to lack of experts it is difficult to detect. This paper focuses on surveying and comparing the detection of lung disease using different computer-aided techniques used in application to increase the portability and suggests a revised model for detecting pneumonia. In this survey, we also tried to familiarize ourselves with the different image pre- processing techniques used to convert raw X-ray images into standard formats for analysis and detection, machine learning techniques such as CNN, Deep Learning techniques, which is an important phase in accurate pneumonia detection. Keywords- Pneumonia Detection, CNN, Chest Radiography, Image processing, Deep Learning, Machine Learning, Android Development.