bluuebunny/crossref_metadata_2025 huggingface dataset:
Accentuate of moiré in an interference pattern by defocusing
Authors: Ismanov Yusupzhan Kh. , Tynyshova Tolgonay D.
Published: May 2024

The article considers a mathematical model of an incoherent optical system, into which defocusing is introduced as an aberration. When modeling, it is assumed that if non-coherent lighting is used to illuminate an object, then the transforming optical system should be considered as linear with respect to the intensity of the light. An analysis of the optical system of a general form was carried out, and relations were obtained for a system with a circular pupil, who allowed obtaining defocused images at the output of the optical system, and the defocusing value was rather simply adjustable. The proposed model can be used either as a low-pass filter for preprocessing of interferograms, or as a method for extracting informative image fragments, using which it is possible to synthesize the original image.
Case Study of Paranoid Schizophrenia in Young Adults
Authors: Putra Hamzah , Desy Anggraeni
Published: May 2024

Introduction: An individual with paranoid schizophrenia exhibits a preoccupation with one or more delusions and experiences frequent auditory hallucinations. This study aimed to describe the diagnosis and treatment of paranoid schizophrenia in young men.
Case presentation: A 20-year-old man was found sitting in the middle of traffic on a bustling route, prompting the cops to transport him to the emergency department for medical care. The patient showed poor personal hygiene during the mental health assessment, appearing dirty and untidy. He constantly paces the examining room, ensuring his back is always against the wall. He exudes a subtle sense of unease with his environment. He characterizes his demeanor as "adequate." Despite his lack of emotional expression, his emotional expression remains constant. The working diagnosis for this patient was paranoid schizophrenia. The patient was prescribed a regimen of atypical antipsychotic medication, specifically risperidone, at a dosage of 2 mg, to be taken twice daily. The treatment will continue for 6 months, with monthly assessments of the patient's symptoms to gauge the medication's effectiveness.
Conclusion: Prior to making a diagnosis of schizophrenia, it is critical to rule out any potential etiologies for the manifestation of psychotic symptoms, such as substance abuse, medication use, or medical conditions. In contrast to prior "typical" antipsychotics such as chlorpromazine and haloperidol, atypical antipsychotics provide a multitude of advantages. Although conventional medications are efficacious in treating the positive symptoms of schizophrenia, they may inadvertently worsen or even induce the negative symptoms.
Perspektif Islam Tentang Dinasti Politik (Studi Kasus Isu Dinasti Politik Tahun 2023-2024)
Authors: Panggabean Ilham Budiman , Harahap Aprilinda Martinondang
Published: May 2024

Dynastic politics is a phenomenon that is currently being discussed by Indonesian people amid the 2024 presidential election campaign. This dynastic politics became a trending topic after the Indonesian president's son ran for vice president. The importance of finding a balance between political stability and justice is a major concern in addressing this issue. There are efforts from several elements of society and political activists to advocate for political reform that creates a more transparent and fair system. Therefore, the study of political dynasties that occurred in Indonesia needs to be studied more deeply. The article aims to describe and analyze the issue of political dynasties in Indonesia with a focus on the Islamic political context. This research is a qualitative literature review research with a phenomenological approach to research phenomena that are currently occurring. This research includes an analysis of the historical, structural, and ongoing social impacts of political dynasties within the framework of Islamic politics. The results of this research show that the issue of dynastic politics in Indonesia in 2023-2024 presents complex challenges, especially when viewed from an Islamic political perspective. By understanding these dynamics and seeking solutions that are in line with the principles of justice and democracy, Indonesia can steer itself toward a more inclusive and sustainable political system. In dealing with the issue of dynastic politics, aspects of accountability and transparency become a significant focus from an Islamic political perspective. These principles are considered crucial in protecting power and ensuring political action is by Islamic values. Through this research, it is hoped that it can open people's views to raise calls for political transformation and reform that reflects Islamic values ​​and leads to more just, transparent, and participatory political governance.
Design of Personalization Exam Classification Model Based on Imbalanced Class
Authors: Sri Anita  , Rachmat Arif , Mahadany Sunu Aditya
Published: May 2024

Currently, personalized learning has become a necessity in the learning process. Research and implementation of personalization in the planning phases and implementation phases of learning have been extensively studied. However, that research has not yet reached the application stage in the learning assessment phase. Providing homogeneous examination material to each student has not considered the characteristics of learners. Even though the achievements from the assessment phase will provide a measure of the quality of the learning process as a whole. This research has analyzed the individual characteristics model, which is derived as a benchmark for identification of the information and characteristics of the test material, which is then formulated into a classification model based on supervised learning. This study identified text dataset questions and labeled unbalanced multi-classes. This presents a challenge to carry out experiments to find the most optimal data training strategy, the results provide optimal strategy combination results Logic: ENS, Verbal: ENS, Visual: CW+RES+ENS, Natural: CW+RES+ENS. Accuracy measurement results Logic (SVM): 0.85, Verbal (LR) 0.87, Visual (LR) : 0.93, Natural (NN) 0.93.
Sentiment Analysis ChatGPT Using the Multinominal Naïve Bayes Classifier (NBC) Algorithm
Authors: Sri Rahayu Dwi , Novita Rice , Khairil Ahsyar Tengku , Zarnelly
Published: May 2024

Chatbots have become one of the popular solutions for improving customer service. One well-known chatbot is ChatGPT, a language model developed by OpenAI. As time goes by and more and more people use ChatGPT, sentiment analysis is needed about users' opinions about the ChatGPT service. Therefore, it is necessary to carry out sentiment analysis of the ChatGPT service on Twitter to find out how users respond to this chatbot service. In this research, the results showed positive sentiment of 57%, negative sentiment of 29% and neutral sentiment of 14%. Topics for each sentiment were also obtained and sentiment prediction results from 40% of the test data with results of 96% positive, 3.5% negative and 0.5% neutral with a test accuracy of 63%.
A Study on the Image Analysis of Farmers on the New Media Platform of People’s Daily under the Theory of Media Construction
Authors: Xing Yan
Published: May 2024

This article takes the Weibo account of People’s Daily as a survey sample and uses content analysis method from the perspective of media construction theory to analyze the overall image characteristics of Chinese farmers it shapes, and how the influence of social fields such as the 20th CPC National Congress affects the image shaping of media. And through horizontal comparison with the People’s Daily newspaper, explore the ways of constructing the image of farmers in different media.
Research and suggestions on the cultivation of university art and design talents
Authors: Hu Xiaochuan , Corpuz Gertrude V.
Published: May 2024

The biggest characteristic of art and design education is the huge difference in education. While art schools around the world teach differently, they all share common educational standards and are talent training programmes. Only by setting standards can we improve the quality of talent training. This paper will study the university art design professional talent training program, researchers adopted the theme of the research method, using the interview research design, will take many universities in Hubei province as an example to the teaching and practice of the interview analysis, the art design professional talent teaching training mode of two variables, will get more accurate research data, can more directly study the present situation and challenges of local talent training. The purpose of this study is to explore the problems in the teaching and practice of the training mode of art and design majors in these universities, and will provide some effective suggestions for the training program of art and design talents in universities.It is also hoped that it will inspire researchers in relevant fields.
Genetic Heterogeneity in Pediatric Rhabdomyosarcomas
Authors: Панферова Агнеса Владимировна , Коновалов Дмитрий Михайлович , Друй Александр Евгеньевич
Published: May 2024

Результаты молекулярно-генетических исследований позволили приблизиться к пониманию патогенеза рабдомиосарком (РМС), их включение в стандартное тестирование установило новые диагностические критерии для данного вида опухолей. Помимо своей важной роли в диагностике, генетическое тестирование стало необходимым для выбора интенсивности терапии и оценки прогноза у пациентов с РМС. Наиболее значимым диагностическим исследованием является определение химерных генов PAX3/7::FOXO1 — маркеров альвеолярной РМС (АРМС) и предикторов неблагоприятного прогноза, которое стало широко использоваться для классификации РМС и является основанием для стратификации пациентов в группу высокого риска. АРМС без выявленных перестроек с участием генов PAX3/7 или FOXO1 (в т. ч. и с нестандартными генами-партнерами) в настоящее время рассматривается как прогностически более благоприятная форма РМС, близкая с точки зрения молекулярной биологии к эмбриональной РМС (ЭРМС). Стандартная диагностика данных опухолей в настоящее время включает морфологическое, иммуногистохимическое и молекулярное исследования. Во многих случаях рутинная окраска гематоксилином и эозином и характер экспрессии Desmin, MyoD1 и Myogenin достаточны как для подтверждения диагноза РМС, так и для определения гистологического типа. При этом только определение химерных генов PAX3/7::FOXO1 позволяет однозначно определить АРМС, особенно при солидном гистологическом варианте. Гистологически однородная группа веретеноклеточных/склерозирующих РМС (ВСРМС) характеризуется очень высокой биологической и клинической гетерогенностью, обусловленной большим количеством прогностически значимых генетических вариантов. Ведущая роль в дифференциальной диагностике ВСРМС принадлежит молекулярно-генетическим методам исследования.
Mieux réussir dans les filières scientifiques en première année d’université ? Un dispositif pédagogique d’accompagnement différencié, analysé comme appui immédiat pour des étudiant·es en situation d’échec
Authors: Gérard Isabelle , Girard Armelle , Colin Olivier , Vanhoolandt Cédric
Published: May 2024

En France, malgré une baisse du niveau en sciences, le nombre de néo-bachelier·es ne cesse d'augmenter. Au-delà de la massification au Supérieur, la diversité de profil et l’hétérogénéité de niveau des étudiant.es de première année se renforcent depuis la réforme du baccalauréat de 2019. Cela contribue au fort taux d'échec en première année. À l'Université de Versailles-Saint-Quentin, les étudiant·es en échec à l’issue du premier semestre universitaire (S1) rejoignent un semestre 2 (S2) spécifique pour re-travailler exclusivement trois unités d’enseignement (UE) du S1 (programme identique mais format pédagogique pouvant varier). Pour les UEs de chimie et de physique, un « dispositif d’accompagnement différencié et personnalisé », s’inscrivant dans une pédagogie active et inclusive est proposé. Un total de 83 étudiant·es en situation d’échec et de 131 étudiant·es en parcours régulier (UE de chimie uniquement) ont pu expérimenter ce dispositif. A l’aide d’un devis quasi-expérimental et de questionnaires auto-rapportés, l’impact de ce dispositif sur l’estime de soi, le sentiment de compétence et la perception des difficultés a été évalué. Chez les étudiant.es en échec, l’augmentation du sentiment de compétence est significative, accompagnée d’une amélioration notable des performances académiques. Ce dispositif semble donc encourageant en termes d’accompagnement vers la réussite.
Conflits et apprentissages perçus par les étudiant∙es durant une approche par projets (APR) interdisciplinaire en enseignement supérieur
Authors: Tremblay Chantal , Allain Élodie , Labbé Chantal , Ducharme-Landry Simone , Arellano Caro Maricela
Published: May 2024

La littérature soutient que l’approche par projets (APR), un modèle d’enseignement où l’apprentissage des contenus disciplinaires s’effectue par la réalisation d’un projet souvent de manière collaborative menant à une production concrète (Krajcik et Shin, 2022), favorise l’apprentissage comparativement à des méthodes d’enseignement plus traditionnelles. Toutefois, l’état actuel des connaissances ne fait pas consensus quant au développement d’habiletés de collaboration induit par cette approche. Aussi, si les causes des conflits intraéquipes lors de travaux collaboratifs sont bien documentées, peu d’études expliquent les actions entreprises par les étudiant∙es pour les résoudre et l’influence de ces conflits sur les apprentissages. Ainsi, cette étude qualitative expose les stratégies de résolution de conflits utilisées par des étudiant∙es pour résoudre des conflits intraéquipes principalement causés par des cas de paresse sociale durant une APR interdisciplinaire. Les résultats montrent que, malgré les conflits, de nombreux apprentissages sont autorapportés, permettant d’explorer des liens entre conflits et apprentissages. La discussion suggère que l’intensité des émotions influence le choix des stratégies de résolution. Il est également proposé de mieux accompagner les équipes pour soutenir une collaboration efficace.
Contingency inferences from base rates: A parsimonious strategy?
Authors: Pivecka Niklas , Ingendahl Moritz , McCaughey Linda , Vogel Tobias
Published: May 2024

The pseudocontingency framework provides a parsimonious strategy for inferring the contingency between two variables by assessing the base rates. Frequently occurring levels are associated, as are rarely occurring levels. However, this strategy can lead to different contingency inferences in different contexts, depending on how the base rates vary across contexts. Here, we examine how base-rate consistency influences base-rate learning and reliance by contrasting consistent with inconsistent base rates. We hypothesized that base-rate learning is facilitated, and that people rely more on base rates if base rates are consistent. In Experiment 1, the base rates across four contexts implied the same (consistent) or different (inconsistent) contingencies. Base rates were learned equally accurately, and participants inferred contingencies that followed the base rates but deviated from the genuine contingencies within contexts, regardless of consistency. In Experiment 2, we additionally manipulated whether the context was a plausible moderator of the contingency. While we replicated the first experiment's results when the context was a plausible moderator, base-rate inferences were stronger for consistent base rates when the context was an implausible moderator. Possibly, when a moderation-by-context was implausible, participants also relied on the base-rate correlation across contexts, which implied the same contingency when base rates were consistent but was zero when the base rates were inconsistent. Thus, our findings suggest that contingency inferences from base rates involve top-down processes in which people decide how to use base-rate information.
Psychometric benefits of self-chosen rating scales over given rating scales
Authors: Kutscher Tanja , Eid Michael
Published: May 2024

Rating scales are susceptible to response styles that undermine the scale quality. Optimizing a rating scale can tailor it to individuals’ cognitive abilities, thereby preventing the occurrence of response styles related to a suboptimal response format. However, the discrimination ability of individuals in a sample may vary, suggesting that different rating scales may be appropriate for different individuals. This study aims to examine (1) whether response styles can be avoided when individuals are allowed to choose a rating scale and (2) whether the psychometric properties of self-chosen rating scales improve compared to given rating scales. To address these objectives, data from the flourishing scale were used as an illustrative example. MTurk workers from Amazon’s Mechanical Turk platform (N = 7042) completed an eight-item flourishing scale twice: (1) using a randomly assigned four-, six-, or 11-point rating scale, and (2) using a self-chosen rating scale. Applying the restrictive mixed generalized partial credit model (rmGPCM) allowed examination of category use across the conditions. Correlations with external variables were calculated to assess the effects of the rating scales on criterion validity. The results revealed consistent use of self-chosen rating scales, with approximately equal proportions of the three response styles. Ordinary response behavior was observed in 55–58% of individuals, which was an increase of 12–15% compared to assigned rating scales. The self-chosen rating scales also exhibited superior psychometric properties. The implications of these findings are discussed.
PSYCHOACOUSTICS-WEB: A free online tool for the estimation of auditory thresholds
Authors: Grassi Massimo , Felline Andrea , Orlandi Niccolò , Toffanin Mattia , Goli Gnana Prakash , Senyuva Hurcan Andrei , Migliardi Mauro , Contemori Giulio
Published: May 2024

PSYCHOACOUSTICS-WEB is an online tool written in JavaScript and PHP that enables the estimation of auditory sensory thresholds via adaptive threshold tracking. The toolbox implements the transformed up-down methods proposed by Levitt (Journal of the Acoustical Society of America, 49, 467-477, (1971) for a set of classic psychoacoustical tasks: frequency, intensity, and duration discrimination of pure tones; duration discrimination and gap detection of noise; and amplitude modulation detection with noise carriers. The toolbox can be used through a common web browser; it works with both fixed and mobile devices, and requires no programming skills. PSYCHOACOUSTICS-WEB is suitable for laboratory, classroom, and online testing and is designed for two main types of users: an occasional user and, above all, an experimenter using the toolbox for their own research. This latter user can create a personal account, customise existing experiments, and share them in the form of direct links to further users (e.g., the participants of a hypothetical experiment). Finally, because data storage is centralised, the toolbox offers the potential for creating a database of auditory skills.
Novel analogues of a nonnucleoside SARS-CoV-2 RdRp inhibitor as potential antivirotics
Authors: Tóth Luca Julianna , Krejčová Kateřina , Dejmek Milan , Žilecká Eva , Klepetářová Blanka , Poštová Slavětínská Lenka , Bouřa Evžen , Nencka Radim
Published: May 2024

The RNA-dependent RNA polymerase (RdRp) represents a prominent target in the discovery and development of new antivirotics against RNA viruses, inhibiting the replication process. One of the most targeted RNA viruses of the last years is, without doubt, SARS-CoV-2, the cause of the recent COVID-19 pandemic. HeE1-2Tyr, a known inhibitor of flaviviral RdRp, has been discovered to also have antiviral potency against this coronavirus. In this study, we report three distinct modifications of HeE1-2Tyr: conversion of the core from a benzothiazole to a benzoxazole moiety and two different scaffold simplifications, respectively. We provide a novel synthetic approach and, in addition, evaluate the final molecules in an in vitro polymerase assay for biological activity.
Policies that Bind? The use of Guidance Documents by Federal Agencies
Authors: Haeder Simon F. , Yackee Susan Webb
Published: May 2024

Each year, agencies issue thousands of pages of regulations through the notice and comment process. Given the extensive involvement of the federal government, the health and human services field is particularly affected by this kind of policymaking. Over the past decade, this process has drawn significant scholarly attention. However, policy creation via its close cousin—the agency guidance document development process—is largely unexplored within the fields of public administration and policy. Yet, over time, the utilization and importance of agency guidance has grown enormously. Indeed, in some areas, such as food and drug regulation, agency guidances are now the policy tool of choice for government regulators. This article provides an overview of agency guidance and its important role in the policymaking process. Additionally, it details an October 2019 U.S. presidential executive order on the subject, while also contextualizing the existing literature. The article then reviews select survey results drawn from a study of 41 U.S. Food and Drug Administration (FDA) regulations—20 of which were promulgated using the notice and comment process and 21 via the guidance process—to further illustrate the topic. The results imply a clear need for additional quantitative scholarship to better understand the political and policy underpinnings attached to regulating via agency guidance documents, particularly as they related to health and human services.
Unmet Needs of Individuals Experiencing Homelessness near San Diego Waterways: The Roles of Displacement and Overburdened Service Systems
Authors: Flanigan Shawn , Welsh Megan
Published: May 2024

Homelessness is among the most urgent crises facing the United States. In addition to tents or sleeping bags on urban sidewalks, many people experiencing homelessness exist outside of public view, along rivers and other waterways, and elsewhere “out in nature.” This paper explores reasons individuals live near waterways, specific health and human service needs of this population, and why these needs remain largely unmet. We conducted in-depth, semi-structured interviews with 84 individuals experiencing homelessness, 56 of whom were currently residing or had previously resided near the San Diego River or in nearby canyons, as well as seven key informant interviews with homelessness services and environmental conservation organizations. Our findings reveal that people live near urban waterways for several reasons, including the competing influences of systems designed to ameliorate the impacts of homelessness, such as criminal justice systems, public health systems, and the emergency shelter system.
Reciprocity in Leader and Follower Behavior among Federal Employees: Test of a Nonrecursive Model
Authors: Somers Mark John
Published: May 2024

The purpose of this article was to advance followership theory and research by studying reciprocal relationships between leaders and followers. Using FEVS data, a nonrecursive path analysis demonstrated strong evidence of reciprocal, positive relationships between leader behavior fostering employee development and follower initiative taking. This virtuous cycle provided preliminary evidence that a “reversed lens” followership model is applicable to public sector organizations. Leader and follower behavior were also positively related to follower effectiveness, providing additional evidence of the efficacy of the followership model tested. Implications for PA research and practice were discussed.
Where We Stand: A Review on Equity in Public Administration and Policy
Authors: Shen Ruowen , Curley Cali , Harrison Nicole , Coleman Michael
Published: May 2024

Public administration identifies social equity as a foundational pillar of the field; despite many calls to action for research to emphasize equity, only 127 articles across 22 journals (11 Public Administration, 11 Policy) over the past decade (2009-2019) explicitly use the word equity in the title, abstract, or keywords. This review discusses the range of scholarship explicitly addressing equity across public administration and public policy. The paper depicts research gaps and suggests future directions for scholars to research equity.
Radiología Intervencionista en el Diagnóstico y Tratamiento de las Patologías de Columna Vertebral
Authors: Martínez Peredo Martín , González Herrera Gabriel Orlando , Soler Sierra Andrea Gissette , Guzmán Ramos Pedro Luis , Burbano Villota Solangel , Díaz Pacheco María José , Velásquez Ardila Laura Camila , Navarro Barraza Daynela Margarita
Published: May 2024

El papel de la radiología intervencionista ha presentado una mayor expansión a lo largo de los últimos años, ya que la aplicación de la resonancia magnética (RM) y la tomografía computarizada (TC) ha ofrecido diferentes ventajas para el diagnóstico y tratamiento de las patologías de la columna vertebral. Por ello, realizamos una búsqueda bibliográfica de diferentes artículos en inglés y español en diferentes bases de datos, bibliotecas nacionales e internacionales dando como resultado diferentes reportes de casos en los que se evidencian la aplicación de la radiología intervencionista en diferentes patologías como cifosis, lordosis, escoliosis, fracturas, etc. brindando un alivio rápido de los sintomas y la reducción de diferentes complicaciones. Por lo tanto, la radiología intervencionista se ha posicionado como una herramienta de gran importancia en el ámbito clínico.
Revisión de Mochilas en las Instituciones Educativas (Derecho a la Educación Sana o el Derecho a la Privacidad)
Authors: Gutierrez Martínez Wilberth Alberto
Published: May 2024

El presente trabajo se basa en un sector que es preocupante lo cual es la Educación, en donde el tema principal trata de la inseguridad que se vive todos los días en las Instituciones Educativas. Una problemática tan grande que, en la actualidad, tanto estudiantes, educandos y personal de las instituciones educativas, viven con un temor de que les pase algo dentro de estas Instituciones que tienen como fin el brindar conocimiento y preparar a los niñas, niños y jóvenes de este país. Problemática que ha causado lesiones, homicidios, amenazas, venta y distribución de narcóticos, en donde afectan temas como la seguridad, calificaciones y daño psicológico. Es por ello que con esta investigación se intenta proponer un esquema de bien implementado de Revisión de Mochilas para garantizar los patrones para que no se vulnere ningún derecho y sea una medida precautoria y de prevención. Utilizando estrategias de recolección como la encuesta y entrevista, en donde se espera obtener resultados de aprobación por parte de los estudiantes, educandos y padres de familia.
Narrativas Digitales en el Área de Ciencias Sociales: Integración de Storytelling e Inteligencia Artificial
Authors: Moncayo Moscoso Marcela Cecilia , Carrillo Chacón Henry Fabricio , Moncayo Oquendo Fabian Marcelo , Pallo Logaña Marco Aníbal , Castro Ramos Elizabeth Guadalupe
Published: May 2024

La presente investigación buscó la integración de storytelling e inteligencia artificial (IA) como una nueva herramienta pedagógica dentro de la materia de estudios sociales; este estudio se llevó a cabo en la Unidad Educativa José Emilio Álvarez del cantón Salcedo, provincia de Cotopaxi, específicamente en un entorno rural. La población objetiva fue elegida a través de una muestra por estratos en el nivel de bachillerato y tuvo como objetivo principal analizar cómo la combinación de IA y el Storytelling pueden mejorar la participación y el compromiso estudiantil, así como fomentar habilidades analíticas y de pensamiento crítico. Para ello se identificaron los principios fundamentales de storytelling e IA, analizando críticamente su influencia en la participación estudiantil y describiendo su impacto en el desarrollo de habilidades. Mediante encuestas de percepción, pruebas estandarizadas, evaluaciones de proyectos y análisis de contenido se procedió a recopilar y analizar datos. Los resultados indican que la integración de storytelling e IA aumenta la participación y el interés de los estudiantes, facilita la comprensión de conceptos complejos y mejora la efectividad de la presentación de trabajos.
Perspective of the Institutional Digital Repository in the Protection and Diffusion of Academic Activity
Authors: Armando Picón Gerardo
Published: May 2024

Repositories emerge as an initiative to improve access to knowledge, constituting a digital-based alternative for academic communication. The need to develop a repository for the Universidad Privada María Serrana is proposed, given the need to create a space for disseminating and accessing academic works. The general objective was to analyze the perspective and transcendence of the institutional repository, and the specific objectives were to define the importance of creating an institutional digital repository, to determine the objectives and the content or type of materials, and to point out the benefits and difficulties that the development of the repository would have. It was a non-experimental, quantitative, descriptive, and cross- sectional research, applying an express questionnaire using Google Forms. The sampling was non-probabilistic, voluntary, and intentional, aimed at students and teachers from a population of 980 students and 130 teachers, with 105 students and 31 teachers participating. As the main results, all participants determined that creating an institutional repository was necessary, most of them considering that the objective would be to manage, preserve, and maintain the academic material in digital files. Regarding the reasons and importance of its creation, with most frequencies in the significant degree, they placed the option referred to the changes and technological advances.
Protein Profiles of Red Bigeye Flesh (Priacanthus Macracanthus)
Authors: Nor Salasiah Mohamed  , Amiza Mat Amin  , Dasi Ong  , Mohd Nazri Ismail  , Fisal Ahmad
Published: May 2024

Red bigeye fish with less than 15 cm length are categorized as low-value fish. The aim of this study was to determine the protein profiles of red bigeye flesh. Red bigeye flesh was analyzed for proximate analysis, LC-QTOF-MS analysis and Fourier transform infrared FTIR. It was found that red bigeye flesh contained 17.21% crude protein, 1.82% crude fat, 1.34% ash content and 3.42% carbohydrate. LC-MS/MS analysis revealed 83 unique proteins, including troponin 33, myosin 23, actin 19, tropomyosin 6, and parvalbumin 2. Regulatory proteins gave the largest portion of 51%, followed by enzymes at 28.92%, and unreviewed proteins at 20.48%. Red bigeye flesh proteins exhibited higher levels of post-translational modifications (PTMs) mainly oxidation and mutation. FTIR spectra analysis of red bigeye flesh protein exhibiting symmetrical bending stretches within amide regions A, B, I, II, III, and VII. This study shows that red bigeye flesh proteins is a promising source of functional food.
Mixed Convection Flow of a Casson Fluid Past a Thin Needle
Authors: Darbhasayanam Srinivasacharya  , Gorantla Saritha
Published: May 2024

This paper deals with a steady mixed convection flow past a horizontal thin needle submerged in Casson fluid. The flow-governing equations are changed into a set of non-linear ordinary differential equations utilizing proper transforms. Employing successive linearization, the resulting equations are linearized, and then the Chebyshev spectral collocation technique is implemented. The effects of needle size and mixed convection parameter on stream on velocity and temperature, together with graphical representations of the coefficient of skin friction and local heat transfer rate, are presented. It is found that temperature decreases as needle size decreases but velocity, the coefficient of skin friction, and the Nusselt number improve for both aiding and opposing flow scenarios.
Water Vapor Movement on Mass and Heat Transport in the Perspective of Water Vapor Buoyancy: A Review
Authors: Khairul Ikhwan Mohd Jamalludin  , Sunny Goh Eng Giap  , Mohammad Fadhli Ahmad  , Hanhan Maulana  , Senny Luckyardi
Published: May 2024

In 1957, the governing equation of mass and heat transport in the soil or porous media was popularised, now commonly referred to as PdV theory. This governing equation helps to quantify and simulate the water, vapor and heat in porous media. But at the same time, due to the fundamental uncertainty parameter in the equation, it was continuously updated. The equation predicting vapor flux movement in the soil has been the subject of many investigations. The vapor enhancement factor (VEF) was introduced to overcome the issue. When VEF was introduced, a few researchers were able to quantify the factor, but could not provide the guiding mechanism representing the observation. In the latest review from a literature study, we found a new form of equation to improve the VEF. It comes from the basis of the universal gas law, which describes the volume expansion from liquid water to vapor, and also the vapor buoyancy. This study aims to review water vapor movement and vapor buoyancy phenomenon. Also, to identify the parameters of the equations that contribute to the vapor buoyancy effect. The water vapor movement should not be neglected in the governing equation because its contribution to the overall mass movement is significant. Vapor buoyancy is possible to become a mechanism out from VEF. The parameters that contribute to vapor buoyancy effect are gravity, soil temperature, vapor density and water salinity. Clearly, understanding vapor buoyancy effect helps us better predict the distribution of soil temperature and soil moisture content.
Revolutionizing eLearning Assessments: The Role of GPT in Crafting Dynamic Content and Feedback
Authors: Michael E. Bernal
Published: May 2024

This study presents the Learnix project that utilizes the GPT-4 large language model (LLM) to enhance interactive learning in eLearning platforms, with a specific focus on generating dynamic multiple-choice questions (MCQs) and providing tailored feedback for Python coding problems and short-answer questions. The aim was to explore how language models can be integrated into eLearning environments to create more adaptive and engaging educational experiences. Leveraging GPT-4’s advanced natural language processing capabilities, the developed platform can generate a diverse range of MCQs and offer unique feedback, significantly improving upon traditional static learning content. This approach enhances the learner’s journey, offering a more engaging and individualized educational experience. The methodology involved the integration of GPT-4 into an eLearning platform, emphasizing user interaction and content relevance. The Learnix platform was designed to handle a variety of coding problems, with the LLM generating corresponding MCQs and feedback. This method’s effectiveness was evaluated based on content quality and relevance. Results demonstrated that GPT-4’s inclusion markedly enhanced the eLearning experience by providing diverse and up-to-date content. Customized feedback is particularly effective in reinforcing learning concepts and addressing individual learning needs. Moreover, the platform showed versatility in scaling and adapting to different educational contexts, making it a valuable tool for various learning requirements. The findings of this project emphasize the transformative potential of language models and Generative AI in redefining online education, leaning towards more adaptive and engaging learning experiences. Additionally, the Learnix project underscores the importance of continual innovation in educational technology, suggesting a new paradigm where AI becomes an integral part of the teaching and learning process. The integration of GPT-4 not only enriches the learning material but also enhances the overall effectiveness of the educational process, paving the way for future advancements in AI-driven eLearning solutions.
Comparative Evaluation of Action of RISA and Sodium Hypochlorite on the Surface Roughness of Heat Treated Single Files, Hyflex EDM and One Curve- An Atomic Force Microscopic Study
Authors: Santhosh Anakha , G S Arunima , Pillai Rajesh , A Afzal , K V Sandeep , Ramesh Athira
Published: May 2024

Aim: The aim of the study is to evaluate the action of RISA and Sodium hypochlorite on the surface roughness of heat treated single files, Hyflex EDM and One Curve using an Atomic Force Microscope.  Materials and Methods: A total of ten new files from each brand (Hyflex EDM and One Curve were taken. Before immersion , all the files were observed under Atomic Force Microscope to determine the surface roughness. Five files from Hyflex EDM were immersed in 5.25% sodium hypochlorite and five files were immersed in RISA solution. Five files from One Curve were immersed in 5.25 % sodium hypochlorite and the other five files were immersed in RISA solution. The dynamic immersion of the files were done by attaching it to an endomotor at constant speed [300 rpm] and torque [2.5 N Cm] into plastic tubes .After immersion, all the files were kept on the staging platform of AFM and 3mm section of the tip was examined for surface roughness.  Results: Within the limitations of this study, Hyflex EDM files immersed in sodium hypochlorite showed highest increase in surface roughness. Among the irrigant solutions used, increase in surface roughness was more for files immersed in Sodium hypochlorite as compared to files immersed in RISA solution.
A Combined Platform for Meeting and Collaboration in the Learning Ecosystems
Authors: Patil Pravin , Shaikh Barirah , Wasim Mughal , Junaid Mansuri , Junaid Khan
Published: May 2024

The effectiveness of software projects hinges on smooth information exchange among different teams involved, including project managers, team members, developers, designers, and clients. Given that many software companies handle multiple projects simultaneously, there's a pressing need for streamlined project management and virtual collaboration. Manual oversight of students' final year projects is arduous. This project seeks to develop an automated system for overseeing student activities, offering functionalities for project management, supervision, monitoring, and virtual teamwork. This system caters to the needs of students, project coordinators, and guides by facilitating seamless sharing and interaction.
Optimizing Doctor Availability and Appointment Allocation in Hospitals through Digital Technology and AI Integration
Authors: Komarneni Pramodd , Kumar Kalakoti Toshan , Kumar Narla Pavan , Pujitha Alla Sai , Bomma Richitha
Published: May 2024

Many patients miss their appointments all around the world and many of them don't even cancel at all or don't do so in time due to several reasons. In order to address the widespread issue of medical no-shows, this paper proposes a solution that involves building a machine learning model utilizing patient datasets that are already available. This model will identify patterns and links between various patient factors and the patients' propensity to miss appointments. As a result, based on their information, it is possible to anticipate the chance of a patient appearing. Based on the Support Vector Machines classification technique, the machine learning model created the solution predictive model. Effective healthcare services are vital in today's fast-paced environment. This strategy aims to reduce the distance between patients and medical professionals by offering a workable and friendly solution. For certain medical institutions, such as clinics and hospitals, this initiative makes it easier for patients and customers to schedule doctor appointments online. Using this technology, patients may easily browse a database of doctors' biographies, specializations, and availability. Even the day and time of their choosing can be chosen for appointments. Each patient's appointment request will be scheduled by this doctor's appointment system and forwarded to the physician. The system administrator will update the list of doctors, including their specialties, personal information, and system access credentials. Patients will look for a physician who specializes in their requirements by exploring the doctor's appointment system online. Before making their request, the patient can browse the doctor's weekly schedule to choose a day and time that works best for them. Following that, the physicians have access to all of their appointments as well as the patients' appointment requests, which are prioritized according to their availability. It gives medical professionals a strong tool for successfully managing the schedules, which reduces administrative strain and ensures a positive patient experience.
Enhancing Coronary Artery Disease Detection with a Hybrid Machine Learning Approach: Integrating K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) Algorithms
Authors: Izang Igyem Abi , Umar Zambuk Fatima , Imam Yau Badamasi , Abdulrahman Lawal Mustapha , Hoommi Hoomkwap Sandra , Shittu Fatima , Baba Shidawa Atiku , Zahraddeen Yakubu Ismail
Published: May 2024

Recent studies have identified coronary artery disease (CAD) as a leading cause of death globally. Early detection of CAD is crucial for reducing mortality rates. However, accurately predicting CAD poses challenges, particularly in treating patients effectively before a heart attack occurs due to the complexity of data and relationships in traditional methodologies. This research has successfully developed a machine learning model for CAD prediction by combining K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) Classifier techniques. The model, trained and tested on a dataset of 918 samples (508 with cardiac issues and 410 healthy cases), achieved an accuracy of 82% for KNN, 84.3% for SVM, and 88.7% for the hybrid model after rigorous training and testing.
Manufacturing Process for Ameliorant Plus Mycorrhizal Powder Using Local Raw Materials for Soil Improvement
Authors: Astiko Wahyu , Laksmi Ernawati Ni Made , Silawibawa I Putu
Published: May 2024

The development of ameliorant powder enriched with indigenous arbuscular mycorrhizae for soil amendment has been limited. This study presents a formulation process for creating a high-quality ameliorant powder using local raw materials. The powder incorporates a culture of Glomus mosseae isolate MAA-01, which constitutes 25% of the mixture, combined equally with compost powder, cattle manure powder, and rice husk charcoal powder. This formulation results in a product containing 2500 spores per 20 g of powder, achieving a 95% colonization rate, a moisture content of 5.002 % db, and a shelf life of 12 months. Laboratory tests confirm that this ameliorant powder significantly enhances soil fertility, as well as plant growth and yield, particularly in suboptimal land conditions. The production method is straightforward, making it highly suitable for local farmers seeking to improve agricultural productivity.
Wirelessly Empowered Agriculture a Study on Arduino, NodeMCU and LoRaWAN Enabled Greenhouse Automation
Authors: Kadam Tushar , Vaishya Tushar , Rauf Sultan , Sayed Maseera , Shah Varsha
Published: May 2024

Greenhouse automation system is a way to benefit rural farmers through automatic monitoring and control of the greenhouse environment. It changes care directly to people. To ensure the safety of crops, temperature, light intensity, soil moisture and humidity must be monitored regularly and continuously to keep them under control. It prevents climate change and extends the growing season. Although greenhouses are beneficial for farmers as they increase crop yield and production, they are inconvenient for farmers as they have to visit and check the greenhouses regularly and if the weather conditions are not perfect, it damages crops and productivity. But the emergence of sensors and the Internet of Things has changed the situation in the greenhouse. Sensors are bringing automation to greenhouse management and monitoring through the use of the Internet of Things and embedded technologies.
Technical and Economic Performance Assessment of Solar Milling Plants in Zambia
Authors: Christopher J Chisi
Published: May 2024

In 2015, the Zambian government embarked on a proactive endeavor to enhance the accessibility of economical maize meal through the inception of the Solar Powered Milling Plants (SMPs) Project. The Chinese Government and the Government of the Republic of Zambia jointly provided co-financing, supporting this audacious initiative with a significant financial commitment of US$200 million. However, there have been no documented results on the technical and economic performance of the solar milling plants. To this effect, this study aimed to establish the technical and economic performance of the milling plants installed by the Zambia Cooperative Federation. To achieve this, the study sought to: (1) establish the technical operational characteristics of the installed SMPS; (2) establish the factors that influenced the sitting of the plants; (3) determine the economic benefits of the SMPs; and (4) benchmark the technical operating conditions of the installed SMPs. The study employed a mixed methods approach, where benchmarking observations and semi-structured questionnaires were used as data collection instruments. The sample size of the study was 168, comprising cooperative leaders, solar milling plant operators, and community members from the 12 sites in Masaiti, Chikankata, Solwezi, and Kapiri Mposhi districts where the milling plants were installed. The field observations and questionnaires that were used for the study showed that all twelve sites in the Solwezi, Masaiti, Kapiri Mposhi, and Chikankata Districts needed the same amount of power to run, which was between 7.5 kW and 9.0 kW. However, only Site 3 in Solwezi and Sites 4 and 5 in Masaiti Districts strictly followed the standard operation time of 8 hours. The study has also shown that the two main factors that influenced the placement of the solar milling plants were proximity to the main roads of the communities and the availability of land near the Food Reserve Agency(FRA) shades. With regards to economic benefits, the generated results showed that the installed milling plants brought about employment creation as two operators were employed for each of the 12 sites. However, the revenues generated by the solar milling plants were not economically viable for loan repayment. The study recommended that predictive and corrective maintenance, in addition to project management training for cooperatives and operators, be carried out to improve the technical and economic performance of the solar milling plants.
Diagnosis and Evaluation of Stomach Surgery with CNN Neural Network
Authors: Ghoreishi Mokri Seyed Masoud , Valadbeygi Newsha , Mohammed Balyasimovich Khafaji
Published: May 2024

Determination and treatment arranging play a significant part within the field of gastric surgery to guarantee compelling treatment results. The essential objective of this inquiry about was to create a novel fake insights system for making choices concerning surgical or non-surgical mediations and to survey the extraction and execution assessment of this show. The think-about test comprised 200 patients, with 103 cases reserved for surgical treatment and 97 cases for non-surgical treatment. The counterfeit neural organize utilized in this consider comprised 12 input layers, 6 target layers, and 13 covered-up layers. By utilizing this show, the victory rate of deciding the requirement for surgical or non-surgical intercessions, as well as the particular sort of surgery required, was computed. The ultimate victory rate of discovery was decided by comparing the genuine location results with those produced by the manufactured insights demonstrated. The show displayed a victory rate of 99.998% for diagnosing the requirement for surgical or non-surgical mediations and a 100% exactness rate for deciding the particular sort of surgery required. This examination underscores the potential of counterfeit insights models utilizing neural systems in diagnosing cases requiring gastric surgery.