bluuebunny/crossref_metadata_2025 huggingface dataset:
Advancing Environmental Protection: The Impact of Technological Innovations on Monitoring and Preventing Environmental Violations
Authors: Rezi Rezi , Rahayu Istiyawati , Rahayu Istiyawati , Mansor Manan Mohamed
Published: November 2024

Environmental violations committed by humans are one of the important causes of climate change, such as greenhouse gas emissions, deforestation, and biodiversity loss. Conventional supervision efforts to prevent environmental violations are quite difficult to do because of limited human resources, large areas and difficult access and the time to respond to violations is slow. This article uses normative research methods and is based on secondary data, the results of which are presented descriptively and analytically. This article will focus on exploring technological innovations that can be used to monitor and prevent environmental pollution, as well as how such technologies can effectively support environmental law enforcement.
Analysis of Patient Safety Implementation Using Linear Regression Test
Authors: Fanny Nabilatul , Dyah Dewi Arini Liss
Published: November 2024

The background of this research is that interpersonal communication factors and attitudes can improve the implementation of patient safety in hospitals. The aim of this research is to analyze the influence of Interpersonal Communication and Attitudes on the implementation of Patient Safety in hospitals. Primary data was obtained through a questionnaire filled out by nurses at Jati Husada Karanganyar Regional Hospital. The sample was 31 midwives. The data from the questionnaire was then tested for linear regression at a significance level of 0.005. The results of the research show that the implementation of patient safety at RSU Jati Husada is good, 57.6% of patient safety has been implemented quite well through interpersonal communication and attitudes.  Interpersonal Communication and Attitude variables have a significant influence on the implementation of patient safety at RSU Jati Husada Karanganyar. The variables Interpersonal Communication and Attitude have a significant influence on the implementation of patient safety at RSU Jati Husada, the influence is positive. Thus, the better the midwife's attitude in implementing patient safety SOPs, the higher the level of patient safety implementation.
A Study of Anemia Among Early Adolescent in Elementary School
Authors: Maryatun Maryatun , Rahmawatie Ratna Budi Utami Dyah , Haryoto Haryoto , Husain Fida’
Published: November 2024

Adolescents health is one of the most critical aspects of health in next step. Health problems often experienced by adolescents are anemia. Anemia is a condition in which the hemoglobin level is less than 12 mg/dl. Anemia is one of the health problems in Indonesia. Anemia in adolescence cause health disorder. If not getting the right treatment will cause reproductive health disorder. The purpose of this research is to examine the status of anemia, nutritional status and identify its characteristics. The subject of this study is elementary school students of 35 people who get from 5 and 6 grades. The research has been carried out at Jetis Elementary School. In this study, the measurement of body weight, height and Hb rate against 35 students. The results showed that the characteristics of the respondent based on the age of majority aged 11 years as much as 42.9%. The measurement results of Anthropometry showed that most are in the thin BMI status as much as 74.3. The prevalence of anaemia is 8.6% with majority are non anemia. The conclusion of this research is the incidence rate of anemia in early adolescent amounted 8.6%
Analysis Of Sugar Planning In PG Mojo Sragen
Authors: Mayang Puspitasari Diah , Dewi Lestari Retna , Rahyunanto Setyo
Published: November 2024

This study aims to analyze the planning of sugar production capacity is efficient or not in PG Mojo Sragen. Although the level of sugar production capacity in a particular year still exceeds capacity and also lacks capacity. The production capacity planning analyzed includes the available capacity and the required capacity of each station, namely the refining station, evaporation, cooking, turning, Waste Water Treatment Plant (WWTP), and stamfloor (sugar packaging place). The analysis method used is RCCP (Rought Cut Capacity Planning). The results showed that the comparison of the efficiency of each workstation which was said to be inefficient was found at the evaporation workstation, WWTP, and stamfloor. The three stations have lower available capacity compared to the higher required capacity. This research is expected to provide insight for PG Mojo Sragen to increase available capacity through better alternatives.
Analysis of AI-Based Big Data for Strategic Decision-Making in E-Commerce
Authors: Oktaviani Intan , Purawanto Eko , Triana Triana
Published: November 2024

In the current digital era, e-commerce faces significant challenges in managing and analyzing vast and complex data. Big Data presents tremendous opportunities for gaining valuable insights, but traditional analysis methods often need to be more accurate and relevant information. Artificial Intelligence (AI) emerges as an effective solution to this challenge, with its ability to deeply analyze data and identify patterns and trends that conventional methods may overlook. By leveraging AI, e-commerce companies can make faster and more accurate strategic decisions, such as optimizing marketing, managing inventory, and personalizing customer experiences. Although there are challenges in implementing this technology, such as data integration and security, the benefits of using AI in Big Data analysis are substantial. In conclusion, AI is crucial in supporting data-driven strategic decision-making in the e-commerce sector.
Antioksidan Ekstrak Etanol Daun Pedada (Sonneratia ovata Backer)
Authors: Raharjo Danang , Fitriawati Anna , Aminulloh Muhammad
Published: November 2024

Free radicals are reactive oxygen compounds that are known to be compounds that have free or unpaired electrons. Free radicals will look for new partners so that they will easily bind to other substances such as proteins, fats, and DNA in the body, resulting in cell damage and causing various degenerative diseases. To overcome the negative effects of free radicals, a substance that acts as an antioxidant is needed. Sonneratia Ovata or often called pedada by coastal communities is often used to treat various diseases including diabetes, ulcers, analgesic diarrhea, inflammation, pain and accelerate wound healing. This study aims to examine the levels of flavonoid compounds in the ethanol extract of S. ovata leaves using the colorimetric method and antioxidant activity using the ABTS method (2,2 azinobis (3-ethylbenzothiazolin-6- sulfonic acid) and DPPH (2,2-diphenyl-1-picrylhydrazyl) on the ethanol extract of S. ovata leaves. The research process began with the extraction of S. ovata leaves with 96% ethanol, followed by determination of total flavonoid levels and antioxidant testing. From the results of the determination of total flavonoid levels, it was found that the ethanol extract of S. ovata leaves had a flavonoid content of 38,248 ± 0.142 mgQE/gram. In measuring antioxidant activity using the DPPH and ABTS methods, the IC50 values were 31.785 ± 0.047 ppm and 28.303 ± 0.558 ppm, respectively. Based on these results, the ethanol extract of S. ovata provided very strong antioxidant activity with an IC50 value of less than 50 ppm.
Aligning Education with Employment: Analysis of Industry Needs in Eastern Visayas
Authors: Ebdane Tia Mare L.
Published: November 2024

This study, conducted in the capital town of Northern Samar, Catarman, characterized the industry needs of the locality. Through a quantitative approach using descriptive design, data were gathered using a semi-structured questionnaire which was validated by experts in the field. A stratified sampling technique was used to identify 104 key decision-makers including managers, heads, and owners, across various sectors surveyed, revealing compelling insights. The findings revealed that reasons for hiring SHS and HEI graduates include qualifications and ease of training, fostering inclusivity and cost-effectiveness. Conversely, challenges arise from a preference for college graduates and adherence to company policies, reflecting nuanced motivations in recruitment. The study underscores a pronounced demand for work and social skill sets, prioritizing professionalism, productivity, and attitude. Technical skill requirements vary across industries, highlighting distinct needs. The identified challenges, particularly the need for more training and concerns about graduates’ readiness, emphasized the complex nature of workforce integration. These findings prompt recommendations for tailored training programs, enhanced recruitment strategies, and collaborative initiatives to address gaps and align education with industry needs.
Influence of Selected Social Media Platforms on English Language Instruction in Public Secondary Schools in Muthambi Sub County, Tharaka Nithi County Kenya
Authors: Kananu Mbae Nelly , Wanja Njagi Mercy , Nkinga Kariuki Mercy
Published: November 2024

Social media has become an irreplaceable part of our lives in today’s world. Social media platforms are an essential form of knowledge along with a stream of fun. According to most of the population, social media is considered a diverting tool for students. However, use of specific social media platforms in classroom teaching and learning of various subjects in Kenyan schools has not been widely researched thus creating a gap in knowledge that this study filled. Therefore, this study sought to influence of selected social media platforms on English language instruction in public secondary schools in Muthambi sub county, Tharaka Nithi County Kenya. The descriptive survey research design was employed on a population of 8269 constituting of form three students, teachers of English and school principals. A sample of 325 respondents was selected by use of purposive and simple random sampling techniques. Questionnaires and interview schedules were tools utilized for data collection. The data was analyzed descriptively via the Statistical Package for the Social Sciences version 26 and presented on frequency distributions. The findings indicated that there’s Influence of selected social media platforms was found to have a strong positive relationship with English language instructions in public secondary schools in Muthamb sub county Tharaka Nithi county. It was recommended that secondary schools management should provide appropriate and adequate digital resources such as the promotion of ICT integration, Laptops for the teachers and students and internet connection.
An Evaluation of Dome Architecture in Bengal: Historical Development and Comparative Analysis
Authors: Liza Latifa Sultana , Mridha Ratul Shahriar Hasan
Published: November 2024

In Bengali architecture, domes were commonly found in mosques and palaces. It has become our national architectural identity, influenced by Muslim kings. The dome was first utilized in mosques but is currently found in other structures. Permanence was the dominant feeling in the dome. The dome’s style varies from time to time. Muslims attempt to alter buildings’ design, form, and style using domes in many buildings. That is why we can observe different types of domes. The Muslim style was the first to have an influence, followed by the rural hut style. Mosques are occasionally categorized based on their dome designs. The idea of dome design has evolved over time to accommodate the desires of both the ruling class and the general populace. Mosques worldwide shared specific characteristics, even though Muslims had a highly developed style of mosque design characterized by arches, domes, minarets, and mihrabs. A distinct Islamic architectural style was created when Muslims introduced this architectural element into the region’s customary architectural lexicon. Muslim designers considered and investigated Bangladesh’s environment, available local materials, and the experienced craftspeople who made them. Since then, the Bengal region’s architectural characteristics have changed due to the valuation of the mosque’s dome. Most mosques’ interpretations of the fundamental principles of Islam are domes, and this study shows how the morphology of these structures has changed over time and pinpoints the key elements that have influenced this development.
Body Mass Index Effects on Physical Activity Motivation Among Pre-Health Students
Authors: Elton Derek , Bice Matthew , Adkins Megan
Published: November 2024

Many people understand participating in physical activity (PA) can provide both physical and psychological benefits, yet a plethora of individuals remain inactive.  Understanding these factors could prove vital in development of improved intervention strategies.  The purpose of this study was to better understand the relationship between Body Mass Index (BMI) and motivation to participate in PA among undergraduate pre-health students.  Participants completed an online survey. A cross-sectional research design was used to examine variables: Motivation, PA, and BMI. Correlations and ANOVAs were used to assess associations and variable differences established at p < 0.05.  Multiple significant associations and gender-based group differences were found which illustrate males being primarily driven by intrinsic motives, while female data suggests high motivational drive in both intrinsic and extrinsic areas. Furthermore, among BMI categories, those classified as ‘normal’ reported significantly higher levels of appearance and ‘obese’ categories reported significantly higher levels of fitness motivation.  Findings illustrate how the impact of both gender and BMI on PA motivation is shifting from traditional understanding. While educated individuals may be more eager to participate in PA, they may still lack the knowledge of how to properly apply PA principles to daily life.  This study controlled possible internal motivation variables by exploring those who understand the benefits of PA, which is absent in the literature. Previous research indicates that BMI inversely effects affective response to exercise, which reduces sustained PA participation, however, the solution to this may not be more literacy-based education.
Cannabis Care: Intellectual Humility and Instructional Strategies
Authors: Putnam Janice , Marchello Nick , Doyle Karen , Maples Rachel
Published: November 2024

The challenge healthcare faculty are encountering when discussing cannabis education with students is the effect that misperceptions, media influence, and lack of evidence can have regarding cannabis care. This article shares an innovative teaching strategy and qualitative results based on increasing intellectual humility using the Collective Rethinking Model. The instructional design of this study included three assignments: a role and responsibility analysis, a more nuanced conversation about cannabis, mental health, and athletes, and promoting student curiosity using a virtual cannabis field trip. Each assignment consisted of a cannabis-related activity followed by a written response (n=99). These responses were coded, and thematic analysis was confirmed by the research team. For the role and responsibility analysis assignment, themes reflected existing stigmas and a new awareness of evolving cannabis research.  For the nuanced conversation assignment about cannabis, mental health, and athletes, the results identified three themes: concern for the ethics of the suspension, the need for more research regarding cannabis and PTSD care, and an increased awareness of the inconsistencies in drug policies from a global perspective.  The last assignment designed to promote cannabis curiosity used a virtual cannabis field trip. It demonstrated curiosity across a broad spectrum of cannabis industry topics and issues. The results demonstrate today's healthcare students have curiosity about their potential role in cannabis care. The lessons learned from this study have implications for designing nursing and interprofessional health curricula that rigorously and creatively engage students in the practice of cannabis care, mental health promotion, ethics, regulation, and industry.
‘Advancing Sentiment Analysis in Serbian Literature: A Zero and Few–Shot Learning Approach Using the Mistral Model
Authors:   University of Belgrade, Nešić Milica Ikonić , Rujević Biljana ,   University of Belgrade, Stanković Ranka ,   University of Belgrade, Škorić Mihailo ,   University of Belgrade, Petalinkar Saša ,   University of Belgrade
Published: November 2024

This study presents the Sentiment Analysis of the Serbian old novels from the 1840-1920 period, employing the Mistral Large Language Model (LLM) to pioneer zero and few-shot learning techniques. The main approach innovates by devising research prompts that include guidance text for zero-shot classification and examples for fewshot learning, enabling the LLM to classify sentiments into positive, negative, or objective categories. This methodology aims to streamline sentiment analysis by limiting responses, thereby enhancing classification precision. Python, along with the Hugging Face Transformers and LangChain libraries, serves as our technological backbone, facilitating the creation and refinement of research prompts tailored for sentence-level sentiment analysis. The results of sentiment analysis in both scenarios, zero-shot and few-shot, have indicated that the zero-shot approach outperforms, achieving an accuracy of 68.2%.
‘Universal Dependencies Treebank for Standard Albanian: A New Approach
Authors:   University of Tirana, Kote Nelda , Deda Albana , Xhanari Lindita , Skënderi Rakipllari Elsa , Kajo Meçe Elinda , Trandafili Evis , Haveriku Alba , Çepani Anila , Rushiti Rozana
Published: November 2024

In this paper, we present a Universal Dependencies (UD) treebank for the Standard Albanian Language (SAL), annotated by expert linguistics supported by information technology professionals. The annotated treebank consists of 24,537 tokens (1,400 sentences) and includes annotation for syntactic dependencies, part-ofspeech tags, morphological features, and lemmas. This treebank represents the largest UD treebank available for SAL. In order to overcome annotation challenges in SAL within the UD framework, we delicately balanced the preservation of the richness of SAL grammar while adapting the UD tagset and addressing unique language-specific features for a unified annotation. We discuss the criteria followed to select the sentences included in the treebank and address the most significant linguistic considerations when adapting the UD framework conform to the grammar of the SAL. Our efforts contribute to the advancement of linguistic analyses and Natural Language Processing (NLP) in the SAL. The treebank will be made available online under an open license so that to provide the possibility for further developments of NLP tools based on the Artificial Intelligence (AI) models for the Albanian language.
Function Multiword Expressions Annotated with Discourse Relations in the Romanian Reference Treebank
Authors:   Institute for AI, “Mihai Drăgănescu”, Barbu Mititelu Verginica , Voicu Tudor ,   Tudor Vianu National High School of Computer Science
Published: November 2024

For the Romanian Reference Treebank, a general language corpus, covering several genres and annotated according to the principles of Universal Dependencies, we present here the annotation of some function words, namely multiword conjunctions, with discourse relations from the Penn Discourse Treebank version 3.0 inventory of such relations. The annotation process was manual, with two annotators for each occurrence of the conjunctions. Lexical-semantic relations of the types synonymy, polysemy can be established between the senses of such conjunctions. The discourse relations are added to the CoNLL-U file in which the treebank is represented.
Dependency Parser for Bulgarian
Authors:   Sofia University “St. Kliment Ohridski”, Atanasov Atanas
Published: November 2024

This paper delves into the implementation of a Biaffine Attention Model, a sophisticate neural network architecture employed for dependency parsing tasks. Proposed by Dozat and Manning, this model is applied to Bulgarian language processing. The model's training and evaluation are conducted using the Bulgarian Universal Dependencies dataset. The paper offers a comprehensive explanation of the model's architecture and the data preparation process, aiming to demonstrate that for highly inflected languages, the inclusion of two additional input layers - lemmas and language-specific morphological information - is beneficial. The results of the experiments are subsequently presented and discussed. The paper concludes with a reflection on the model's performance and suggestions for potential future work.
Extended Context at the Introduction of Complex Vocabulary in Abridged Literary Texts
Authors:   Sens Texte Informatique Histoire, Sorbonne Universit´e, Paris, France, Nikolova-Stoupak Iglika , Schaeffer-Lacroix Eva ,   Sens Texte Informatique Histoire, Sorbonne Universit´e, Paris, France, Lejeune Gael ,   Sens Texte Informatique Histoire, Sorbonne Universit´e, Paris, France
Published: November 2024

Psycholinguistics speaks of a fine-tuning process used by parents as they address children, in which complex vocabulary is introduced with additional context (Leung et al., 2021). This somewhat counterintuitive lengthening of text in order to aid one’s interlocutor in the process of language acquisition also comes in accord with Harris (1988)’s notion that for every complex sentence, there is an equivalent longer (non-contracted) yet simpler one that contains the same amount of information. Within the proposed work, a corpus of eight renowned literary works (e.g. Alice’s Adventures in Wonderland, The Adventures of Tom Sawyer, Les Mis´erables) in four distinct languages (English, French, Russian and Spanish) is gathered: both the original (or translated) versions and up to four abridged versions for various audiences (e.g. children of a defined age or foreign language learners of a defined level) are present. The contexts of the first appearance of complex words (as determined based on word frequency) in pairs of original and abridged works are compared, and the cases in which the abridged texts offer longer context are investigated. The discovered transformations are consequently classified into three separate categories: addition of vocabulary items from the same lexical field as the complex word, simplification of grammar and insertion of a definition. Context extensions are then statistically analysed as associated with different languages and reader audiences.
EurLexSummarization – A New Text Summarization Dataset on EU Legislation in 24 Languages with GPT Evaluation
Authors:   FMI, Sofia University ”St. Kliment Ohridski” Sofia, Bulgaria, Zmiycharov Valentin , Tsonkov Todor ,   FMI, Sofia University ”St. Kliment Ohridski” Sofia, Bulgaria, Koychev Ivan
Published: November 2024

Legal documents are notorious for their length and complexity, making it challenging to extract crucial information efficiently. In this paper, we introduce a new dataset for legal text summarization, covering 24 languages. We not only present and analyze the dataset but also conduct experiments using various extractive techniques. We provide a comparison between these techniques and summaries generated by the state-of-the-art GPT models. The abstractive GPT approach outperforms the extractive TextRank approach in 8 languages, but produces slightly lower results in the remaining 16 languages. This research aims to advance the field of legal document summarization by addressing the need for accessible and comprehensive information retrieval from lengthy legal texts.
Unified Annotation of the Stages of the Bulgarian Language. First Steps
Authors:   Leopold-Franzens-Universität Innsbruck, Maion Fabio , Dimitrova Tsvetana ,   Institute for Bulgarian Language, Bulgarian Academy of Sciences, Bojadziev Andrej ,   St. Kliment Ohridski Sofia University
Published: November 2024

The paper reports on an ongoing work on a proposal of guidelines for unified annotation of the stages in the development of the Bulgarian language from the Middle Ages to the early modern period. It discusses the criteria for the selection of texts and their representation, along with some results of the trial tagging with an existing tagger which was already trained on other texts.
Pondera: A Personalized AI–Driven Weight Loss Mobile Companion with Multidimensional Goal Fulfillment Analytics
Authors:   University of Plovdiv “Paisii Hilendarski”, Pashev George , Gaftandzhieva Silvia ,   University of Plovdiv “Paisii Hilendarski”
Published: November 2024

The global obesity epidemic is a significant challenge to public health, necessitating innovative and personalized solutions. This paper presents Pondera, an innovative mobile app revolutionizing weight management by integrating Artificial Intelligence (AI) and multidimensional goal fulfilment analytics. Pondera distinguishes itself by supplying a tailored approach to weight loss, combining individual user data, including dietary preferences, fitness levels, and specific weight loss objectives, with advanced AI algorithms to generate personalized weight loss plans. Future development directions include refining AI algorithms, enhancing user experience, and validating effectiveness through comprehensive studies, ensuring Pondera becomes a pivotal tool in achieving sustainable weight loss and health improvement.
Pendekatan Vegetatif dalam Konservasi Lahan Eks Tambang Untuk Penataan Lansekap Perencanaan Kota Baru dan Permukiman Sekitar Tambang di Kalimantan Timur
Authors: Hamida Ida , Nippa Dea Randa , Nurfariza Hikma
Published: November 2024

Perencanaan Kota Baru merupakan merupakan proyek pengembangan lahan yang luasannya mampu menyediakan unsur-unsur perkotaan secara lengkap dan utuh, meskipun dua pertiga bagia akan didominasi oleh perumahan dan permukiman. Ibu Kota Negara merupakan salah satu pengembangan Kota Baru terbesar di Kalimantan Timur saat ini. Selain hutan tropis, kawasan memiliki peruntukan sebagai hutan industri dan pertambangan. Umumnya lahan bekas tambang merupakan areal yang memiliki lansekap tidak beraturan, seperti terbentuknya lubang bekas tambang (void) dan bukit yang terpotong. Dengan berubahnya topografi, fisiografi dan morfologi lahan menyebabkan tanah tidak berstruktur dan tidak berprofil. Pada lapisan atas terdapat limbah sisa bahan tambang (overburden), ada yang berbentuk batuan atau pasir (tailing). Selain itu limbah tersebut membentuk air asam tambang dan mengandung logam berat. Pendekatan perencanaan lanskap dalam penataan mendukung kualitas dan kelestarian lingkungan kawasan. Berdasarkan upaya reklamasi dan revegetasi pada lahan bekas tambang yang telah dilakukan, diperlukan perencanaan lanskap yang dapat mengoptimalkan pemanfaatan lahan untuk mendukung keberlanjutan ekosistem, pelestarian dan perlindungan lingkungan. Penelitian ini bertujuan untuk menemukan arahan konsep yang sesuai untuk konsep penataan lansekap di kawasan perkotaan baru dan permukiman dengan pendekatan vegetatif, metode ini terdiri dari penghutanan kembali (reforestation) dan wanatani (agroforestry). Diharapkan dengan konsep penataan vegetatif ini, tujuan pengembangan kota baru maupun kawasan menjadi kota yang layak huni, aktif dan berkelanjutan.
The special method with the fake key to attack RSA
Authors: Somsuk Kritsanapong , Sanemueang Chalida , Khummanee Suchart , Suwannapong Chanwit , Atsawaraungsuk Sarutte
Published: November 2024

Because RSA is the cryptographic algorithm that is still extensively employed today, several attack techniques against RSA are continually being developed. These algorithms are divided into two distinct groups. The first group is a general group unaffected by RSA parameters. The other group is unique due to at least one characteristic that represents a vulnerability. The aim of this research is to reveal the new vulnerabilities in RSA and to provide ways for recovering the original plaintext. The first vulnerability occurs when the sum of the private key and Euler totient function is near to the modulus but lower than the modulus. If this result is found, it can be selected as the exponent which is called the fake key. The second situation occurs whenever the key is larger than the modulus. The experimental results indicate that if a new weak point is found, the fake key may be disclosed quickly despite the modulus’s size. In addition, when the sum of the public key and the Euler totient function is relatively near to the modulus, the proposed method can be also used to break the modulus. Additionally, the other vulnerability is demonstrated. It occurs when the product of the unknown integer j and the modulus is near to the addition of the key and the product of the other unknown integer and the Euler totient function. However, the issue with the second weak point is the mechanism for finding j.
Terminal value problem for impulsive fractional differential equation via Kuratowski measure of non-compactness
Authors: Beddani Moustafa , Beddan Hamid
Published: November 2024

In this paper, we study the existence of solutions for terminal value problem for impulsive differential equation via ϴ-Riemann-Liouville fractional derivative in a appropriate Banach space. Our approach is based on Mönch fixed point theorem via Kuratowski measure of non-compactness, an example is given to illustrate our approach.
Health education curriculum of SPHERE : Mathematical model of students’ flu knowledge and learning behavior
Authors: Nasongkhla Jaitip , Shieh Chich-Jen
Published: November 2024

The SPHERE denoting the Social Partner Hub of Emerging Resolution in Education, stands poised to enact a profound transformation within the educational landscape. This paradigm shift in focus is rooted in the pursuit of elevating the overall quality of life by systematically mitigating health risks within educational settings, particularly within densely populated educational institutions. Educational settings, typified by their close-knit communities of students, teachers, and staff, inherently harbor the potential for infectious disease outbreaks, thereby manifesting the looming specter of cluster cross infections. The concept of health promotion in this learning solution in school to facilitate the health of students, faculty & staff, and community residents and further enhance the quality of life. The present study, which centers its investigation on high school students in Shanghai, represents an endeavor to empirically explore these multifaceted dynamics. A total of 420 questionnaires were judiciously disseminated among the targeted student population. After the meticulous elimination of invalid and incomplete responses, a total of 354 valid responses were retrieved, constituting a commendable retrieval rate of 84%. The research findings yield compelling insights by establishing remarkably positive correlations among three pivotal factors. Firstly, a discernible link emerges between the presence of a robust health education curriculum and the acquisition of flu knowledge. Secondly, a notable connection is established between flu knowledge and ensuing learning behaviors. Lastly, a synergistic relationship is discerned between the presence of a comprehensive health education curriculum and the shaping of learning behaviors.
Soft topological soft polygroups
Authors: Mousarezaei R. , Davvaz B.
Published: November 2024

There are many uncertainties in the real world. Therefore, existence of some structures to support these uncertainties is necessary. To achieve this goal, soft sets are inserted into mathematical structures; in this regard, polygroups are equipped with variety of topologies and soft sets. In this article, firstly polygroups are combined with soft sets, then soft topological polygroups are introduced and a few examples have been examined.
CFD analysis of hydrodynamic journal bearing operating with non-newtonian lubricant
Authors: Mehrotra Pranav , Seth Paras , Nagpal Ishaan , Rastogi Devansh , Kumar Vivek
Published: November 2024

The hydrodynamic journal bearing is a crucial machine element used to support radial load in turbomachines. The research in journal bearings focuses on enhancing the steady state and dynamic performance indices. This study deals with the CFD simulations of hydrodynamic journal bearing operating with non-Newtonian lubricants. The CFD simulations have been performed using the Fluent module of Ansys 2023. The Power law fluid model has been used to describe the non-Newtonian character of the lubricant. The plots are generated for maximum fluid pressure, film pressure distribution, and turbulence dissipation for the Newtonian, pseudoplastic, and Dilatant nature of lubricant. Insights into fluid film pressure distribution and turbulence dissipation rates inform guiding designers for improved performance. Understanding maximum pressure trends is vital for design assessment, preventing failures, and optimizing the durability of the hydrodynamic journal bearings. Practical applications for machine designers include a comprehensive understanding of design parameters’ impact on performance, ensuring reliability in turbomachines. Overall, the research contributes to the field, offering academic and simulation insights of a hydrodynamic journal bearing.
Applications on soft somewhere dense sets
Authors: El-latif Alaa M. Abd , Azzam A. A. , Abu-Gdairi Radwan , Alqahtani Mesfer H. , Abd-Elhamed Gehad M.
Published: November 2024

Believing in the importance of generalizations related to soft open sets and their important role in generalizing many topological concepts and properties, this research paper was presented. Specially, we introduce the new class of soft somewhere dense generalized closed sets and soft somewhere dense generalized open sets in soft topological spaces (or STSs). Several properties and theorems have been explored. Moreover, we provide the comparison between this new class and some other categories of soft sets such as soft closed sets, soft regular closed sets, soft b-closed sets, soft semi-closed sets, soft pre-closed sets, soft α-closed sets, soft β-closed sets, soft g-closed sets, s*g-closed sets, soft g α b-closed sets and soft g β -closed sets with the support of number of examples and counterexamples. Hence, we can say that the presented approach is wider than all of the above mentioned categories. Therefore, this opens the way for the researchers to make further generalizations and future applications.
A novel approach to initial boundary value problems using laplace transform adomian decomposition method
Authors: Talankar S. K. , Jadhav A. B. , Muneshwar R. A.
Published: November 2024

This document contains, a novel approach to dealing with initial boundary value concerns that combines boundary and initial conditions to provide a new solution during each repetition utilising Adomian Decomposition Method . A new series solution structure can deliver a most accurate result.
Global sensitivity analysis in the SIHR epidemiological model with application to COVID-19
Authors: Ismail Liban , Djellout Hacène , Chauvière Cédric
Published: November 2024

This paper is devoted to analyze the sensitivity of input parameters (basic reproduction number, cure rate, hospitalization rate) on the evolution of the SIHR epidemiological model. Lagrange polynomials affords a convenient way for computing Sobol indices. Those indices furnish important information on the relative weight of each uncertain input parameters. We use the COVID-19 disease as a numerical application to illustrate the study for two different basic reproduction numbers 0  . Furthermore, we consider a sinusoidal and logistic infection rate and we give the Sobol indices when the entry parameters are assumed to follow the uniform law
Designs and comparison of simple stress accelerated life tests for Weibull-half-logistic distribution based on progressive Type I censoring and a cost constraint
Authors: Kazemi Ramin , Mehreyan Sedigheh Zamani
Published: November 2024

The goal of this paper is to design and compare the simple constant and step stress accelerated life tests (CSALTs and SSALTs) for the Weibull-half-logistic failure data based on progressive Type I censoring and a cost constraint. Due to resource limitations in practice,an accelerated life test is effectively implemented when the stress duration is accurately determined at the design stage. The cost of testing and the accuracy of parameter estimation are affected by the duration of stress. Based on the five optimal criteria, the optimal stress duration is compared when the total testing costs do not exceed a pre-determined budget. Through the numerical results, it can be seen that the test cost and time can be reduced with the cost limit. It is concluded that in both types of stress and unconstrained test mode, the least cost and time is for the C-optimal design. Finally and for illustrative purposes, a real data set has been studied and analyzed.
Weibull-generalized inverted exponential {log-logistic} distribution : Features and practicalities
Authors: Ibeh G. C. , Mbegbu J. I.
Published: November 2024

Here, we have introduced a novel probability distribution called the WeibullGeneralized inverted exponential{Log-logistic} distribution (WGIELLD) adopting the Transformed-Transformer method. The density curves of the new distribution show that it can model data sets that are approximately normal, left and right skewed; while the hazard function graphs indicate that the distribution can model components with various shapes of failure rate. We have derived various statistical features of this distribution, such as the reliability function (rf), hazard function (hf), mode, quantile function (qf), median, Renyi entropy (Re), moment generating function (mgf), mean absolute deviations (MAD) from the mean and median, and order statistics. We have used maximum likelihood estimation (MLE) approach to estimate the parameters of this distribution and also run a simulation study to verify the suitability of the approach. Finally, two sets of data are employed to demonstrate the versatility of the distribution compared to the baseline distribution and other related distributions.
On estimating the variance of the sample median
Authors: Noughabi Hadi Alizadeh , Noughabi Mohammad Shafaei
Published: November 2024

Recently, Ozen et al. [6] proposed the nonparametric bootstrap method for estimating the variance of sample median and showed that this method has better efficiency for symmetric or right skewed distributions when the sample size is small. The present article proposes a new estimator for the variance of sample median. The mean squared error, variance, and bias of the new estimator is calculated and compared with those of the other estimators. The results of our simulation study show the new estimator has better efficiency for different distributions in terms of MSE.
A review on control charts based on different sampling schemes
Authors: Aslam Muhammad , Saghir Aamir , Nezhad Mohammad Saber Fallah
Published: November 2024

This paper offers a critical assessment of the book review authored by Woodall [1]. Woodall [1] conducted a review of the book titled “Introduction to Statistical Process Control.” His critique primarily focused on the literature that had been published and the sampling schemes employed for designing control charts, all without delving into a comprehensive analysis of the underlying assumptions, the operational processes involved, or the benefits associated with these sampling schemes. Woodall et al. [2] demonstrated the equivalence between control charts employing multiple dependent-state sampling and control charts utilizing runs rules, disregarding the underlying assumptions of both methods. It’s important to note that this equivalence does not necessarily imply that the control chart using runs rules is more efficient than the run-rule control charts employing multiple dependent-state sampling. Additionally, Saleh et al. [3] observed that when dealing with count data, the control chart using repetitive sampling outperforms the Shewhart control chart. However, they did not provide evidence of the Shewhart control chart’s efficiency compared to the control chart using repetitive sampling when both are configured with identical control chart parameters. It should be noted that although there are some typographical errors present in the book, and there is room for additional topics to be incorporated, these issues are expected to be addressed in the upcoming second edition of the book.
The Petersburg paradox of the gambling industry
Authors: Chen Xi
Published: November 2024

In the past, gambling-related issues have been noticeably discussed in countries worldwide and other places that have also held gambling referendums. This exciting finding which is for example like the well-known Petersburg paradox in mathematics means that people often replace objective facts with subjective beliefs. Similarly, the governments of various countries often announce to the public that opening up gambling can drive tourism and enhance employment. The subsequent economic multiplier effect is very considerable, but more gambling and better social welfare may be just an illusion. This work reviewed the development of the global and American gambling industries, focuses on the two major casinos in Las Vegas and Atlantic City, and briefly reviewed the US government’s gambling legislation and administrative strategies, especially, since the public often has a value illusion about whether gambling is consumption or investment, and whether it is open to the establishment.
The impact of COVID-19 on value-at-risk estimations for US and China stock markets
Authors: Yuhan Jiang , Deru Yin , Suze Fan , Cheong Chin Wen , Min Lim
Published: November 2024

This study seeks to assess the influence of the COVID-19 pandemic on market risk in two global financial stock markets. Employing four value-at-risk methodologies, we analyze and compare market risks before and during the pandemic. These methodologies encompass the normal distribution assumption method, historical simulation, exponential weighted moving average (EWMA) method, and the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) approach. The GARCH approach incorporates auto-selection procedures to identify the optimal ARIMA-GARCH model. The quantified value-at-risk serves as a measure of the pandemic’s impact severity on both financial stock markets.
Secant topp-leone family of distributions : Properties, regression and applications
Authors: Nanga Salifu , Nasiru Suleman , Dioggban Jakperik
Published: November 2024

The Secant Topp-Leone (STL) generator, which is developed by combining the TL and secant distribution families, is discussed in this paper. We address various statistical characteristics of this new family. We also present five special distributions within this family and demonstrate their flexibility. These distributions’ parameters are estimated using the maximum likelihood estimation (MLE) technique, and Monte Carlo simulations are used to assess the estimation technique’s accuracy. The choice of estimation method used in the study was validated by results from the Monte Carlo experiment’s biases, RMSEs, average width, and coverage probability. Using two real datasets, the Secant Topp-Leone Burr III (STLBIII) distribution performs better than other well-known distributions. Additionally, the natural logarithm of secant Topp-Leone Burr XII (LSTLBXII) location-scale regression lineequation is developed. On a given dataset, the developed model outperformed three other existing models.
Agriculture Crop Yield Prediction Using Deep Learning Models
Authors: Krithika S , Sangeetha T A , Jakaraddi Hanamant , Rajasekaran N
Published: November 2024

Crop yield prediction is a big challenge in agricultural research. Due to the natural calamities, the farmers were not able to predict their crop yields. Hence, the prediction methodology is necessary for the researchers to identify the productivity and demand of the particular crop. Innovation in crop yield prediction models and methods can assist researchers in finding better results. The various machine learning (ML) models have been developed, and their performance has been evaluated through different research with real-time agricultural datasets. But still, the performance of the ML models is not satisfactory, and hence an improvement is needed in some factors. In this research, deep learning-based algorithms such as Deep Neural Network (DNN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Long Short Term Memory (LSTM) were used to evaluate the performance of the model for crop yield prediction. In this research, various experiments were performed using the DNN, CNN, RNN, and LSTM models based on the agricultural dataset. The proposed models were compared with the various features, and the Long Short Term Memory (LSTM) algorithm gave the best accuracy among the other models.
Quantum Safe cryptography – An Overview
Authors: Pandikumar S , M O Pallavi , C Dhanush , Arun m
Published: November 2024

Quantum-safe cryptography is the term that specifies cryptographic methods secured against the threats of quantum computing. Among them are Quantum Key Distribution, which provides information-theoretic security, and Post-Quantum Cryptography, which provides scalable authentication in high-density networks but lacks the same level of theoretical security as the former. In this context, a hybrid cryptosystem that integrally combines QKD and PQC should be created to build a robust quantum-safe system. Moreover, in blockchain technology and machine learning models, quantum algorithms play an important role by improving encryption and key generation. Quantum-safe cryptography represents an important step toward the future-proofing of digital communications and systems
Upgrading Industrial Automation with 5G and IoT
Authors: Pandikumar S , K V Shaheena , T Dinesh
Published: November 2024

The arrival of 5G technology presents substantial opportunities for industrial automation through enhanced connectivity and real-time data exchange. This integration enables seamless communication among Internet of Things (IoT) devices, heralding a new era of smart manufacturing characterized by increased productivity, reduced downtime, and improved decision-making. This study explores the synergy between 5G and IoT in optimizing industrial processes, emphasizing critical areas such as massive machine-type communications (mMTC), ultra-reliable low-latency communication (URLLC), and edge computing capabilities.
The integration of the Internet of Things (IoT) with 5G technology is revolutionizing industrial automation by offering unprecedented levels of connectivity and real-time data sharing. With its support for massive machine-type communications (mMTC) and ultra-reliable low-latency communication (URLLC), 5G facilitates the seamless operation of IoT devices, enabling applications such as autonomous systems, remote monitoring, and predictive maintenance. This convergence enhances data analytics, leading to more informed decision-making and improved operational efficiency while reducing downtime. However, challenges such as security vulnerabilities, interoperability issues, and the need for robust infrastructure must be addressed. As more industries embrace this transformative technology, the combination of 5G and IoT is poised to enhance agility, scalability, and sustainability in the digital age.