bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study on Factors Affecting University Students’ Perception Towards Online Learning Post COVID-19
Authors: Ashwan Faris , Mumin Mas Ayu
Published: November 2024

COVID-19 has turned the world upside down and transformed the learning experience of the students through online learning. This study presents a comprehensive exploration of the various factors which influence the students' perceptions of their learning experience in the context of online learning. This research integrates the students’ perspective such as their personal satisfaction, classroom interaction, learning preferences and factors such emotional, psychological, physical that affects the efficacy of online learning experience. A mixed methods approach was used to gather both quantitative and qualitative data. The study explored factors influencing students’ perspectives towards their learning experiences with a focus on their personal satisfaction, classroom interaction, learning preferences and the impact on academic performance. A total of 209 participants from various universities took part in this research study. The findings contribute to both theoretical understanding and practical implementation of online learning strategies, essential for both learners and instructors alike. This study also offers insights on potential factors faced by university students during online classes such as adaptability to new formats of learning, motivation, classroom interaction, and access to learning resources that seemed to serve as some of the leading factors identified that affects students' overall learning satisfaction. As online learning revolutionized the way students learn and became an integral part of the education process at all levels, his study provides an evaluation on the benefits and the drawbacks of utilizing online learning as well as the effects on students’ learning preferences as well as academic performances.
Quantifying the Scope of Artificial Intelligence–Assisted Writing in Orthopaedic Medical Literature: An Analysis of Prevalence and Validation of AI-Detection Software
Authors: Porto Joshua R. , Morgan Kerry A. , Hecht Christian J. , Burkhart Robert J. , Liu Raymond W.
Published: November 2024

Introduction:

The popularization of generative artificial intelligence (AI), including Chat Generative Pre-trained Transformer (ChatGPT), has raised concerns for the integrity of academic literature. This study asked the following questions: (1) Has the popularization of publicly available generative AI, such as ChatGPT, increased the prevalence of AI-generated orthopaedic literature? (2) Can AI detectors accurately identify ChatGPT-generated text? (3) Are there associations between article characteristics and the likelihood that it was AI generated?

Methods:

PubMed was searched across six major orthopaedic journals to identify articles received for publication after January 1, 2023. Two hundred and forty articles were randomly selected and entered into three popular AI detectors. Twenty articles published by each journal before the release of ChatGPT were randomly selected as negative control articles. 36 positive control articles (6 per journal) were created by altering 25%, 50%, and 100% of text from negative control articles using ChatGPT and were then used to validate each detector. The mean percentage of text detected as written by AI per detector was compared between pre-ChatGPT and post-ChatGPT release articles using independent t-test. Multivariate regression analysis was conducted using percentage AI-generated text per journal, article type (ie, cohort, clinical trial, review), and month of submission.

Results:

One AI detector consistently and accurately identified AI-generated text in positive control articles, whereas two others showed poor sensitivity and specificity. The most accurate detector showed a modest increase in the percentage AI detected for the articles received post release of ChatGPT (+1.8%, P = 0.01). Regression analysis showed no consistent associations between likelihood of AI-generated text per journal, article type, or month of submission.

Conclusions:

As this study found an early, albeit modest, effect of generative AI on the orthopaedic literature, proper oversight will play a critical role in maintaining research integrity and accuracy. AI detectors may play a critical role in regulatory efforts, although they will require further development and standardization to the interpretation of their results.
Development of composition of fine-grained concrete based on ash-and-slag wastes for additive technology of manufacturing small architectural forms
Authors: Aubakirova Zulfiya , Rakhimov Murat , Rakhimova Galiya , Kulisz Monika , Muzdybayeva Tymarkul
Published: November 2024

Developing a fine-grained concrete composition for additive technologies is an important scientific and practical task, since traditional building mixtures are unsuitable for 3D printers, and special solutions are practically absent in mass production. This study aims to develop a composition of fine-grained concrete for additive technologies using local resources and ash and slag waste of the Ust-Kamenogorsk thermal power plant, which contributes to the expansion of the raw material base used in this area. The work was carried out taking into account the analysis of the literature review, which made it possible to identify key aspects and directions in the development of concrete mixtures for additive technologies. This article discusses the possibility of using ash and slag waste in concrete as a filler. Ash has a grain size comparable to river sand, so it can be used as a new material to replace fine filler. To obtain the mixture, 5 experimental mixtures and one reference sample were prepared. The optimal composition is considered to include 30% of M500 Portland cement, 40% of sand, and 30% of ash and slag. The physical and mechanical characteristics of this composition are as follows: the mobility of the mixture is 5.81 cm, and the setting completion time is 4 hours 19 minutes. The results of the sample tests confirmed that the created fine-grained concrete compositions are suitable for extrusion on construction 3D printers. The possibility of creating a composition based on local ash and slag waste for additive technologies used in producing small architectural forms was experimentally confirmed.
Review New Application using Interpolation and Polynomial ‎Approximation
Authors: Abdalftah Elbori  , Wafaa Abou zenad  , Ali Albarki
Published: November 2024

This study analyses the mathematical structure of the interpolation to guarantee that the resulting function passes through all given data points. At the same time, polynomial approximation aims to find a polynomial function that closely matches the data but may not pass through all points and is typically determined using the least squares. Both methods have their advantages and are used in various fields, depending on the specific requirements of the problem at hand. The paper also explores the Lagrange Interpolation Error Theorem, providing insights into the accuracy and limitations of interpolation techniques. Understanding these methods and their error ata cteristiccs helps in selecting the appropriate approach for various practical applications.
Կոմիտասյան քնարերգությունը հայ կոմպոզիտորական արվեստում
Authors: Շախկուլյան Տաթևիկ
Published: November 2024

Հոդվածն անդրադարձ է Կոմիտասի բանաստեղծությունների վրա հիմնվող կոմպոզիտորական աշխատանքներին ։ Նույն թեմային առնչվող մեր նախորդ հոդվածի տպագրության ընթացքում պարզեցինք, որ կան մեր հետազոտությունից դուրս մնացած մի շարք ստեղծագործություններ ։ Դրանով է պայմանավորված թեմային երկրորդ անդրադարձը ։ Հոդվածում ուսումնասիրում ենք կոմպոզիտորներ Վարդ Մանուկյանի, Հայկուհի Հակոբյանի, Գայանե Կեսոյանի մի քանի ստեղծագործություններ, որոնց հիմքում Կոմիտասի պոեզիան է։ Կոմպոզիտորները Կոմիտասի բանաստեղծական տեքստերի հիման վրա հեղինակել են ձայնի և դաշնամուրային նվագակցության համար գրված գործեր, խմբերգեր, անսամբլային ստեղծագործություններ ։ Բոլոր այս ժանրերը մենք հանդիպել էինք այլ կոմպոզիտորների՝ կոմիտասյան բանաստեղծություններով գրված երկերում նույնպես, սակայն յուրաքանչյուր պարագայում առկա են երաժշտական բազմազան մարմնավորումներ ։ This paper refers to art music works which are based on Komitas’s poetry. In my previous paper, which referred to the same topic I leant about some works that were left out from the research. This prompted a second study of this topic. Selected works authored by the composers Vard Manukyan, Haykuhi Hakobyan, and Gayane Kesoyan, which are based on Komitas’s poetry, are studied in the paper. Works for voice and piano, choral works, and ensembles are among them. I had traced all these genres in the works of different composers in the previous paper as well. However, in each individual case, various musical were encountered.
ANÁLISE TEMPORAL DA MORTALIDADE POR SUICÍDIO NO NORDESTE
Authors: Silva Adriana Pereira , Lima Debora Cristine Rabelo , Oliveira Samara Lavinia Soares de , Lago Ariane de Paula dos Santos Pinto , Alves Jéssica de Castro
Published: November 2024

O suicídio é um grave problema de saúde pública que exige uma análise detalhada para a formulação de políticas eficazes. Este estudo examinou a mortalidade por suicídio na Região Nordeste do Brasil entre 2013 e 2022 com o objetivo de identificar tendências e padrões regionais. Utilizando dados do Sistema de Informações sobre Mortalidade (SIM), foram analisados 30.047 óbitos classificados por idade, sexo, estado civil e local de ocorrência. A metodologia incluiu um desenho ecológico de série temporal e regressão linear generalizada de Prais-Winsten para corrigir a autocorrelação serial. Observou-se um aumento de 48% na taxa de mortalidade por suicídio, que subiu de 4,47 para 6,61 por 100 mil habitantes. A variação percentual anual (APC) média foi de 5,03%, indicando uma tendência crescente. Os resultados destacam a necessidade urgente de políticas regionais direcionadas para a prevenção do suicídio e o fortalecimento do suporte à saúde mental.
Design and Construction of Infrastructure Asset Management Information Systems Using the Rapid Application Development (RAD) Method
Authors: Hamidah Mas Nurul
Published: November 2024

The school administration system manages several things, such as the management, storage, and use of facilities and infrastructure items, which have been done traditionally. In contrast, the management must be well structured so that integration with information technology is needed. In previous studies, there were many areas for improvement in the asset information system, one of which was the use of traditional methods such as waterfall which had weaknesses in user flexibility and took a long time to process. Therefore, that a more relevant and accurate method is needed in its completion. SD Khaijah Surabaya built a facilities and infrastructure asset information system using the Rapid Application Development (RAD) method, which offers a more adaptive and interactive solution because it allows the development of rapid prototypes and continuous evaluation of the system. The results of this study show that building an asset management information system can simplify the process of managing infrastructure assets, improve data accuracy, and assist in making decisions related to asset management. The implementation of this system is expected to significantly improve organizational performance in terms of asset management, while system testing using the Black Box method shows accurate results and using the System Usability Scale (SUS) method manages to get a precise score of 80. The average person gives a score of 5 on the assessment of the questionnaire distributed to stakeholders.
ENFERMAGEM NA ESTÉTICA: ANÁLISES DAS PERSPECTIVAS E DESAFIOS DO EMPREENDEDORISMO
Authors: Novaes Gabriel Santos , Cassiano Heidi Melo Chaves , Santos Sandra da Silva , Medeiros Donato José , Cavallari Maria Luiza
Published: November 2024

A demanda por procedimentos estéticos tem crescido nos últimos anos e com isso aumentado as oportunidades para profissionais capacitados iniciarem seu próprio negócio na área da estética como é o caso dos enfermeiros. O presente trabalho tem, portanto, os objetivos de  explorar o crescimento do mercado de Estética e o papel dos enfermeiros nesse contexto e as perspectivas e desafios inerentes ao enfermeiro que decide empreender em estética. Destaca-se a atuação do enfermeiro esteta em procedimentos minimamente invasivos, além de analisar as oportunidades de empreendedorismo, como a abertura de clínicas próprias, usando para isso o método de revisão integrativa onde foram selecionados 10 artigos que atenderam aos objetivos propostos. O texto discute também os desafios enfrentados, incluindo questões éticas, regulamentares e a alta competitividade do setor. Conclui-se que, embora promissor, o empreendedorismo na enfermagem estética exige capacitação contínua e estratégias para diferenciação no mercado.
A FALTA DE INFORMAÇÃO NO INSS E SEUS IMPACTOS NA POPULAÇÃO: ANÁLISE DAS CONSEQUÊNCIAS E SOLUÇÕES JURÍDICAS PARA A EFETIVAÇÃO DE DIREITOS
Authors: Barreto Ana Karoline Muniz Araújo , Rodrigues Daniel de Oliveira , Rodrigues Mirian Márcia
Published: November 2024

O trabalho aborda a deficiência informacional no Instituto Nacional do Seguro Social (INSS), destacando seu impacto na efetivação dos direitos previdenciários e assistenciais no Brasil. O contexto explora a relevância do INSS como órgão essencial na garantia de proteção social, enquanto as falhas na comunicação e burocratização excessiva prejudicam o acesso da população, especialmente a mais vulnerável, aos benefícios a que têm direito. O objetivo da pesquisa é analisar as consequências dessa deficiência informacional e propor soluções jurídicas e administrativas para melhorar o atendimento e garantir o direito à informação. A metodologia foi baseada em uma revisão de literatura, incluindo estudos jurídicos e dados institucionais, para identificar os principais desafios e soluções possíveis. Os resultados mostram que a falta de clareza nas orientações e o atendimento ineficaz têm levado a atrasos, indeferimentos injustos e aumento da judicialização dos pedidos. A conclusão aponta que a melhoria nos canais de comunicação, simplificação de procedimentos e uso de tecnologias acessíveis são medidas essenciais para garantir maior transparência e eficiência no INSS, além de assegurar que os segurados tenham pleno acesso a seus direitos.
AVALIAÇÃO ECONÔMICA DE EMPREENDIMENTOS MINERÁRIOS APLICADA À MINERAÇÃO DE PEQUENO PORTE
Authors: Leite Neta Otaciana Pereira , Mendes Marcos Vinicius Agapito
Published: November 2024

A mineração é um setor da economia que demanda o constante aprimoramento das estratégias competitivas das empresas, buscando cada vez mais prever os desafios presentes e futuros. Desta forma, muitos estudos e investimentos são feitos para a comprovação de recursos e reservas minerais e de sua viabilidade na implantação de um projeto de explotação e beneficiamento mineral. Nesse contexto, o objetivo deste artigo consiste em analisar a viabilidade econômica quanto a implantação de lavra de dois bens minerais (A e B). A avaliação econômica do projeto foi efetuada utilizando dados dos recursos medidos dos minerais A e B presentes no Relatório Final de Pesquisa aprovado pela ANM de um dos processos minerários de uma empresa de pequeno porte, das definições das escalas de produção, vida útil da jazida, estudo de mercado, da capacidade de produção do maquinário necessário a explotação e beneficiamento dos bens minerais de interesse, CAPEX, OPEX, considerando uma Taxa Mínima de Atratividade de 20%. Foi elaborado um Fluxo de Caixa de 10 anos, contemplando oito anos de Vida Útil prevista da jazida e dois anos para o fechamento de mina. A partir da TMA estipulada de 20%, o VPL obtido foi de R$ 5.333.968, maior do que zero, e a TIR obtida foi de 46,91%, apresentando que a TIR é maior que a TMA e concluindo-se que o projeto de implantação do empreendimento é viável técnica e economicamente.
DIGITAL MARKETING STRATEGIES: LEVERAGING AI TECHNOLOGY TO ENHANCE EFFECTIVENESS IN ADDRESSING GLOBAL CRISES
Authors: Youwangka Raden Khemal
Published: November 2024

Digital marketing strategies have become an essential tool for businesses to navigate and respond effectively to global crises. The integration of Artificial Intelligence (AI) technology in these strategies offers unprecedented opportunities to enhance marketing effectiveness during uncertain times. This literature review explores the role of AI in digital marketing, focusing on its potential to improve decision-making, customer engagement, and crisis response. By examining previous studies and theoretical frameworks, the review identifies key AI applications such as predictive analytics, automation, and personalized marketing. It highlights how AI-powered strategies can be leveraged to address the challenges posed by global crises, including economic downturns, pandemics, and social unrest. The review also discusses the benefits and limitations of AI in marketing, particularly in terms of ethical considerations and data privacy. Furthermore, it offers insights into the future of digital marketing in a crisis context, emphasizing the need for adaptive strategies. This article contributes to the understanding of AI's transformative role in modern marketing practices and provides recommendations for businesses seeking to enhance their crisis management efforts. Ultimately, the findings suggest that AI technology can be a critical enabler in ensuring marketing strategies are resilient and effective in a rapidly changing world.
THE INTEGRATION OF ISLAMIC PERSPECTIVES IN TEACHING ENGLISH AS A FOREIGN LANGUAGE: A SYSTEMATIC LITERATURE REVIEW
Authors: Sidqurrahman Zia
Published: November 2024

The integration of Islamic perspectives in teaching English as a Foreign Language (EFL) represents a growing area of interest in education, aiming to align pedagogical practices with faith-based values. This study systematically reviews the literature to explore how Islamic principles have been incorporated into EFL teaching methodologies and curricula. A systematic approach was employed, analyzing peer-reviewed articles from reputable databases, focusing on conceptual frameworks, practical applications, and pedagogical challenges. The findings reveal a significant emphasis on moral education, cultural sensitivity, and the alignment of language instruction with Islamic values. Islamic-based EFL approaches enhance student engagement by fostering ethical awareness and respect for diverse cultures while simultaneously achieving language proficiency goals. However, challenges such as balancing religious content with secular learning objectives and adapting materials for global contexts persist. This study highlights the need for further research into innovative strategies that address these challenges and ensure effective implementation. The findings contribute to the body of knowledge in educational practices by offering a framework for integrating Islamic perspectives into EFL teaching, benefiting educators, policymakers, and curriculum designers. Future research directions and policy implications are discussed, underscoring the importance of culturally responsive pedagogy in a globalized educational landscape.
The effectiveness of training a doctor in the discipline “phthisiology” in the CIS countries during the COVID19 pandemic
Authors: Kolomiets V. M. , Safaryan M. D. , Tashpulatova F. K. , Buinevich I. V.
Published: November 2024

Purpose of the study. To analyze the results of the educational process in the discipline «phthisiology» in the CIS countries during the COVID19 pandemic. Materials and methods. The features and effectiveness of the use of various methods of the educational process in the preparation of a doctor in the discipline «phthisiology» in the CIS countries during the COVID-19 pandemic are analyzed. The main models of the organization of training, involving traditional and remote formats with the use of distance educational technologies, are considered. Results. It is concluded that in the system of basic formal education at all levels and areas of training, the distance learning method can be considered as a form that enhances the socio-pedagogical, organizational, psychological and didactic potential of the traditional («face to face») format of education. The methods of theoretical and empirical research used in the work in a comprehensive manner.
Цивільно-правове регулювання посмертного донорства за досвідом зарубіжних країн
Authors: Тимошенко Є. А. , Воловіковська Н. Л.
Published: November 2024

Цивільно-правове регулювання посмертного донорства відіграє важливу роль у системах охорони здоров'я різних країн. У суспільстві виникають різноманітні етичні, правові й соціальні погляди, пов'язані з використанням органів після смерті людини. Метою дослідження є аналіз та порівняння досвіду зарубіжних країн в даному питанні. Досвід зарубіжних країн демонструє два основних підходи до регулювання: систему презумпції згоди (Opt-out) та систему інформованої згоди (Opt-in). У країнах із презумпцією згоди, таких як Іспанія, Франція та Австрія, кожна людина є визнаним донором, якщо за життя не висловила заперечення, що сприяє збільшенню кількості доступних для трансплантації органів. Натомість у країнах із системою інформаційної згоди, таких як США, Канада та Німеччина, посмертне донорство можливе лише за наявності письмової згоди людини, що забезпечує повагу до її волі, але може обмежувати кількість доступних органів. Важливу роль у процесі ухвалення рішень про донорство відіграють родини померлих. Звісно культурні та релігійні фактори також впливають на ставлення суспільства до цього питання. Системи цивільно-правового регулювання також передбачають механізми контролю, спрямовані на забезпечення прозорості процедур і дотримання етичних норм, захищаючи права донорів і реципієнтів. Тому, досвід зарубіжних країн про збалансування ефективності донорської системи та поваги до індивідуальних прав і культурних особливостей є надзвичайно важливим для сучасного  суспільства. Посмертне донорство в Україні залишається важливою і водночас чутливою темою, яка потребує підвищення обізнаності серед населення. Потреба в органах для трансплантації значно перевищує їхню доступність, що впливає на тисячі пацієнтів, які очікують шансу на життя. Водночас культурні, релігійні та соціальні аспекти значною мірою впливають на ставлення суспільства до цієї практики. Реформа системи трансплантації, розпочата останніми роками, покликана змінити ситуацію, але для цього необхідна підтримка громадськості та відкритий діалог про етичні й моральні аспекти посмертного донорства. Стаття є теоретичним дослідженням даної тематики.
Evaluación del impacto ambiental al emplear CO2 generado por fuentes fijas en sustitución del H2SO4 para neutralizar aguas residuales textiles
Authors: Arbona Mercedes , Cabrera Isabel , Fabelo José , Rosa Elena , Macias Zuidery
Published: November 2024

El clima a nivel mundial está cambiando debido a las emisiones de gases de efecto invernadero. El CO2 proveniente de las fuentes fijas en los procesos vinculados a la textilera “Desembarco del Granma” impacta negativamente sobre la industria y su comunidad aledaña. Para mitigar el impacto de este gas se propone su uso en la neutralización de aguas residuales. El objetivo de este trabajo es evaluar el impacto ambiental que provoca el empleo del CO2 generado por las fuentes fijas en la sustitución del ácido sulfúrico para neutralizar aguas residuales textiles. Se empleó el software Sima Pro 9.0.0.49. La unidad funcional fue el tratamiento de 60 m3/h de agua residual. Los límites del sistema fueron los que enmarcan las dos fuentes fijas de emisiones de gases (generador de vapor y calentador de aceite) y la primera sección de la planta de tratamiento de residuales líquidos que comprende hasta la neutralización. Para cuantificar las cantidades de CO2 y ácido sulfúrico se usaron balances de masa. La huella del carbono es 5113,96 kg de CO2 equivalente para el proceso actual y 1112,82 kg de CO2 equivalente cuando el CO2 se usa para sustituir el H2SO4 en el proceso de neutralización, lo que representa una disminución del 78,24 %. Se demuestra la factibilidad ambiental de la sustitución del ácido sulfúrico por el CO2 ya que habrá una disminución de 69,1 puntos para el proceso total en cuanto a las categorías de daño y de 4001,14 kg de CO2 equivalente.
Importancia de la implementación de ciberseguridad en la gestión de riesgos financieros: Clave para garantizar la confianza del cliente
Authors: Revilla Dominick , Rodriguez Diego , Mendoza Alberto
Published: November 2024

En la actualidad, las entidades financieras no solo se ven expuestas a riesgos físicos de seguridad como asaltos y robos sino también de manera cibernética, esto debido al continuo avance de las TI implementadas, las cuales les permiten ser más eficientes en cada una de sus transacciones para su desarrollo de tal manera que les permita sobresalir dentro del sector financiero, generando a su vez algún posible riesgo en sus operaciones y por ende en la confianza depositada por sus clientes. En ese contexto, en el presente artículo se ha decidido investigar sobre el impacto que ha producido la ciberseguridad implementada en la gestión de riesgo dentro de las instituciones financieras, optando por una revisión sistemática de la información que existe entre los años 2019-2024.
A través de un estudio dedicado de la literatura actual logramos tener una visión de las prácticas de ciberseguridad y su enfrentamiento con actos en contra de la integridad financiera.
Diminishing restrictive practices in psychiatric wards via virtual reality training: Old wine in a new bottle?
Authors: Zeng Yan , Zhang Jun-Wen , Yang Jian
Published: November 2024

This editorial examines the application of virtual reality (VR) training to mitigate restrictive practices (RPs) within psychiatric facilities. RPs include physical restraints, seclusion, and chemical restraints, used to ensure patient safety but with varying usage rates across regions. In recent years, there has been a growing focus on the adverse effects of RPs on both healthcare workers and patients, leading to calls for its reduction. Previous research has shown the efficiency of VR training in RP reduction. This editorial will analyze the limitations of VR training in prior research aimed at reducing RP, emphasizing that the essence of RPs is a medical safety issue, calling for careful differentiation of the causes of RPs, and avoiding the use of AR technology as a "new bottle" for "old wine" to improve the quality and reproducibility of future research in this field.
Depression and anxiety disorders in chronic obstructive pulmonary disease patients: Prevalence, disease impact, treatment
Authors: Qiu Chang-Jian , Wu Shuang
Published: November 2024

Chronic obstructive pulmonary disease (COPD) is a common respiratory disorder that often co-occurs with depression and anxiety, worsening disease progression and reducing quality of life. A thorough review of the existing literature was conducted, including searches in PubMed, Embase, PsycINFO, and Cochrane Library databases up to 2024. This review encompasses a critical analysis of studies reporting on the prevalence, impact, and management of depression and anxiety in COPD patients. We found a high prevalence of psychological comorbidities in COPD patients, which were associated with worse disease outcomes, including increased exacerbations, hospitalizations, and reduced health-related quality of life. Diagnosing and managing these conditions is complex due to overlapping symptoms, necessitating a comprehensive patient care approach. While there has been progress in understanding COPD comorbidities, there is a need for more personalized and integrated treatments. This review emphasizes the need for increased awareness, tailored treatment plans, and further research for effective interventions.
Influence of preoperative comprehensive education on anxiety, depression, pain, and sleep in elderly patients operated under general anesthesia
Authors: Qu Li , Ma Rui , Ma Yan-Kai , Zhao Xuan , Jin Jing , Zhu Qian-Qian , Chen Xue-Ying , Xu Gui-Ping
Published: November 2024

BACKGROUND

Owing to the particularities of their physical characteristics, older patients undergoing surgery under general anesthesia experience great surgical traumas. Thus, exploring more refined and individualized nursing approaches is an urgent need to mitigate the negative effects of surgery on such patients.

AIM

To analyze the influence of preoperative comprehensive education on anxiety, depression, pain, and sleep in older patients who underwent surgery under general anesthesia.

METHODS

In total, 163 older adults who underwent surgery under general anesthesia between June 2022 and November 2023 were selected, 77 of them received routine nursing care (control group), and 86 received preoperative comprehensive education (research group). Subsequently, comparative analyses were performed from the following perspectives: Surgical indicators (operation time, time to complete regain of consciousness, and temperature immediately after the procedure and upon recovery from anesthesia) before and after nursing care; negative emotions [self-rating anxiety scale (SAS)/self-rating depression scale (SDS)]; pain severity [visual analog scale (VAS)]; sleep quality [Pittsburgh sleep quality index (PSQI)]; incidence of sleep disturbances (difficulties in falling asleep for the first time, falling asleep again after waking up frequently at night, falling asleep again after waking up early, and falling asleep all night); and incidence of adverse events (airway obstruction, catheter detachment, aspiration, and asphyxia).

RESULTS

The research group had significantly lower operation time and time to complete regain of consciousness than the control group after nursing care and markedly better recovery of postoperative body temperature and body temperature at awakening. In addition, more notable decreases in SAS, SDS, VAS, and PSQI scores were observed in the research group than in the control group. Furthermore, the incidence rate of sleep disturbance (8.14% vs 29.87%) and adverse events (4.65% vs 19.48%) were lower in the research group than in the control group.

CONCLUSION

Preoperative comprehensive education in older patients who underwent surgery under general anesthesia can improve postoperative indicators, effectively reduce the occurrence of anxiety and depression, alleviate postoperative pain, and improve sleep quality.
Analysis of anxiety and depression status and their influencing factors in patients with diabetic retinopathy
Authors: Gao Sheng , Liu Xia
Published: November 2024

BACKGROUND

Diabetic retinopathy (DR) is a common complication of diabetes and the leading cause of visual impairment and blindness. It has a serious impact on the mental and physical health of patients.

AIM

To evaluate the anxiety and depression status of patients with DR, we examined their influencing factors.

METHODS

Two hundred patients with DR admitted to the outpatient and inpatient departments of ophthalmology and endocrinology at our hospital were selected. A questionnaire was conducted to collect general patient information. Depression and anxiety were assessed using the Patient Health Questionnaire-9 and Seven-item Generalized Anxiety Disorder scale, respectively. The diabetes specific quality of life scale and Social Support Rating Scale were used to assess the quality of life of patients with DR and their social support, respectively. Logistic regression analysis was used to assess the correlations.

RESULTS

The prevalence of depression and anxiety were 26% (52/200) and 14% (28/200), respectively. Regression analysis revealed that social support was associated with depression [odds ratio (OR) = 0.912, 95% confidence interval (CI): 0.893-0.985] and anxiety (OR = 0.863, 95%CI: 0.672-0.994). Good quality of life (diabetes specific quality of life scale score < 40) was a protective factor against anxiety (OR = 0.738, 95%CI: 0.567-0.936) and depression (OR = 0.573, 95%CI: 0.4566-0.784). Visual impairment significantly increased the likelihood of depression (OR = 1.198, 95%CI: 1.143-1.324) and anxiety (OR = 1.746, 95%CI: 1.282-2.359). Additionally, prolonged diabetes duration and history of hypertension were significant risk factors for both conditions, along with a family history of diabetes.

CONCLUSION

Key factors influencing anxiety and depression in patients with DR include social support, quality of life, visual impairment, duration of diabetes, family history of diabetes, and history of hypertension.
HealthWise: AI-Powered Medical Chatbot with Llama 2
Authors: Bansal Ronak Umesh , Vangipurapu Aditya Krishna , Satav Swarup Shivaji , Nag Ankush , Phalnikar Rashmi
Published: November 2024

This research paper presents the

development of a medical chatbot utilizing cutting-
edge technologies, specifically the Langchain

framework and the Llama 2 language model, in
conjunction with the PineCone database for efficient
data storage and retrieval. The primary objective of
this project is to create an intelligent conversational
agent capable of providing reliable medical
information, assisting users in symptom assessment,
and guiding them towards appropriate healthcare
resources. The integration of Langchain facilitates
seamless interaction between the user interface and the
underlying LLM, enabling natural language
understanding and generation. Leveraging the
advanced capabilities of the Llama 2 model ensures
that the chatbot can engage in meaningful dialogues
while maintaining context and relevance. Additionally,
PineCone serves as a robust solution for managing and
indexing medical data, enhancing the chatbot's ability
to deliver accurate and context-aware responses. This
study explores the design, implementation, and
potential implications of our medical chatbot,
contributing to the emerging field of AI-driven
healthcare solutions and underscoring its role in
improving patient engagement and access to medical
advice.
Keywords – Medical Chatbot, Langchain, Llama-2, Pine
Cone, Natural Language Processing, Artificial
Intelligence, Machine Learning, Generative Artificial
Intelligence.
LOAN ELIGIBILITY CHECKER
Authors: N Ms. Roshni S , S.A Boobalan , A.S Dhanush, Krishna , Anudev Anudev
Published: November 2024

By automating eligibility evaluation based on preset criteria, the Loan Eligibility Checker
technology is intended to expedite the loan application process. This project evaluates applicants based on important
indicators, such as debt-to-income ratio, income, employment stability, and credit score, using data processing,
machine learning, and rule-based algorithms. This solution saves time and resources for manual assessment,
improves client satisfaction through prompt feedback, and increases the efficiency and accuracy of loan evaluations
for financial institutions by offering an instant conclusion on loan eligibility. Because of its scalability, the system
can process a large number of applications and offer reliable, impartial evaluations to a diverse pool of candidates.
In the end, financial institutions benefit much from the Loan Eligibility Checker.
Integrating Deep Learning and CCTV for Real-Time Health Monitoring in Schools
Authors:   Department of CSE  Arunachala College of Engineering for Women, R.L Rejisha , K Brintha ,   Department of CSE  Arunachala College of Engineering for Women
Published: November 2024

Abstract—This project proposes a real-time health monitoring
system for schools, integrating deep learning techniques with
CCTV technology to enhance student well-being. By utilizing
advanced computer vision algorithms, the system analyzes
video feeds from cameras to continuously assess students'
health, focusing on facial expressions and behaviors. The
DeepFace model is employed to detect and recognize
individual students and analyze their facial expressions for
signs of distress or other health-related issues. When the
system identifies concerning health indicators, it generates
immediate alerts, which are sent to school administrators
through a user-friendly web interface. This interface allows
administrators to monitor health analytics, view real-time
alerts, and access historical data for effective decision-making
and intervention. The proposed framework offers a proactive
approach to student health monitoring, ensuring a safer and
more supportive school environment.
Keywords—DeepFace, CCTV, Pattern recognition, colour
intensity
Status of Women Education in Rural Bihar
Authors:   Department of Management, Birla Institute of Technology, Mesra, Ranchi, India 835215, Kumari Rashmi
Published: November 2024

Education is a key driver for the
advancement of society, and it is essential for building
the knowledge economies of the 21st century. The paper
examines the role of women's education in Bihar,
focusing on its impact on social and economic
development, especially in rural areas. It highlights the
role of gender disparities in educational inclusion and
exclusion, and evaluates the effectiveness of government
initiatives in promoting equitable opportunities and
maintaining quality. Addressing these gaps can lead to
social justice and economic progress, highlighting the
need for comprehensive and equitable education for
women.
Key Words: Women education, social transformation,
rural-urban disparity, government initiatives, economic
development, Bihar education
GlucoPredict: Leveraging Logistic Regression to Predict Diabetes Risk
Authors:   Aditya College of Engineering and Technology, Surampalem., Sravanthi K.Rupa , Bhavannarayana Ch ,   Kakinada institute of Engineering and technology-II, Korangi.
Published: November 2024

GlucoPredict is a machine learning-based project designed to predict the risk of diabetes using logistic
regression, a powerful statistical method. The goal of this project is to develop a model that can accurately
classify individuals as either at risk of diabetes or not, based on a set of medical and lifestyle-related features. The
dataset used for training and evaluation consists of key factors such as age, BMI, blood pressure, glucose levels,
and family history of diabetes. By applying logistic regression, the model can identify complex patterns and
relationships within these variables, providing a clear, probabilistic prediction of diabetes risk. This approach
offers a transparent and interpretable way to understand how individual factors contribute to the likelihood of
developing diabetes.

The project aims to address the growing global concern of diabetes by providing an accessible, data-
driven tool for early detection. Early diagnosis is crucial in managing and preventing complications associated

with diabetes, and this model offers healthcare professionals a powerful resource for decision-making. By
leveraging logistic regression, GlucoPredict not only delivers high accuracy but also ensures that the predictions
are interpretable, enabling users to understand the underlying factors influencing the outcomes. This project
demonstrates the potential of machine learning in improving healthcare outcomes

Key words: Machine learning, GlucoPredict, Logistic regression, Diabetes.
Deep Learning-Based Bone Cancer Detection and Classification from X-Ray Images Using the Owl Search Algorithm
Authors:   Department of CSE  Arunachala College of Engineering for Women, M Anusha , Misbha Mrs. J. Caroline ,   Department of CSE  Arunachala College of Engineering for Women
Published: November 2024

Abstract—Bone cancer is a serious health condition that
often leads to high mortality rates. Early detection plays a
crucial role in limiting the spread of cancerous cells and
improving patient outcomes. However, manual detection is
a time-consuming and labor-intensive process,
necessitating th6+e development of an automated system
to efficiently classify and identify cancerous and healthy
bone tissues. This paper introduces the Owl Search
Algorithm with Deep Learning-Driven Bone Cancer
Detection and Classification (OSADL-BCDC) model,
which combines transfer learning and hyperparameter
optimization for effective bone cancer detection. The
OSADL-BCDC approach utilizes the Inception v3 model
as a pretrained feature extractor, eliminating the need for
manual image segmentation. The Owl Search Algorithm
(OSA) is employed as a hyperparameter optimizer to
enhance the performance of Inception v3. Additionally,
Long Short-Term Memory (LSTM) networks are
leveraged to detect the presence of bone cancer. The
proposed OSADL-BCDC method reduces diagnosis time
and achieves faster convergence, demonstrating superior
performance in experimental evaluations compared to
existing algorithms. The results of the comparison
emphasize the effectiveness and improved accuracy of the
OSADL-BCDC model for bone cancer detection.
Keywords—Bone cancer, Owl search, hyperparameter tuning,
Inception v3
Graphene Oxide and Natural Silk as Reinforcements for Epoxy Resin Matrix: Fabrication, Sample Preparation, and Testing
Authors: Kumar K N Sanjeev , Sharma Sanjeev , I. Mourad Dr. Abdel-Hamid , Sharma PB
Published: November 2024

The integration of graphene oxide (GO) and
natural silk into epoxy matrices offers a promising approach to
developing high-performance composites for structural
applications. This study examines the fabrication processes,
focusing on sample preparation and testing of GO and natural
silk-reinforced epoxy composites. A comprehensive literature
review spanning 1990 to 2024 provides insights into the
necessity of Vacuum-Assisted Resin Transfer Molding
(VARTM) at 30 PSI, the role of ultrasonication in achieving
homogeneous GO dispersion, strategies to prevent
agglomeration, optimal reinforcement proportions, and
challenges encountered during hybridization. Key findings,
including the impact of high silk volume fractions (60–70%) on
mechanical properties, are incorporated, offering a
comprehensive guide for composite fabrication. The findings
underscore the critical parameters for successful composite
fabrication and performance enhancement.
Key Words: Graphene Oxide, Natural Silk, Epoxy Composites,
VARTM, Ultrasonication, Hybrid Reinforcements, Structural
Applications
A Study on Opinions of Elementary School Teachers on NCF-2023
Authors:   Assistant Professor, Loyola Academy, Chebiyyam Dr Santhi , Indira N ,   St. Patrick’s High School
Published: November 2024

This study explores the opinions of elementary school teachers on the National Curriculum Framework (NCF) 2023,
with a specific focus on its application at the foundational stage of education. The NCF 2023, introduced by the
National Council of Educational Research and Training (NCERT), aims to revolutionize the Indian education system
by promoting a learner-centric, competency-based approach that emphasizes experiential, play-based learning and
holistic child development. Through a mixed-methods approach, including surveys and in-depth interviews with
elementary school teachers from various regions, the study investigates teachers' perceptions, challenges, and
readiness for the adoption of the NCF 2023 framework. The findings reveal a broad support for the framework’s
emphasis on experiential learning, inclusivity, and cognitive development. However, teachers express concerns over
the adequacy of training, resources, and institutional support required for successful implementation. The study also
highlights the need for continuous professional development and greater clarity in the curriculum guidelines to ensure
that the NCF’s principles are effectively integrated into classroom practices. This research contributes valuable
insights into the practical implications of NCF 2023 and underscores the importance of addressing the challenges
faced by teachers to achieve its goals at the foundational stage.
Keywords: National Curriculum Framework, NCF 2023, elementary education, foundational stage, teacher
perceptions, play-based learning, competency-based education, experiential learning.
Love as a Source of Resilience: A Close Reading of Amitav Ghosh's The Glass Palace
Authors: Islam Dr. Mohaiminul , Roy Dr. Shubhankar , Mondal Dr. Arijit
Published: November 2024

This paper examines the theme of love as a source of resilience in Amitav Ghosh’s The Glass Palace, a novel set
against the complex historical backdrop of colonial Southeast Asia. By focusing on the emotional trajectories of
key characters, this study explores how love—manifested in its romantic, familial, and platonic forms—becomes a
vital force for enduring and transcending adversity. Rajkumar and Dolly’s relationship exemplifies how romantic
love fuels ambition and perseverance, even as it is tested by displacement and loss. Familial bonds, such as Uma’s
nurturing love and the intergenerational connections between Dinu and Neel, provide a stabilizing force amidst the
disruptions of empire and war. Platonic love, as seen in the solidarity between women like Uma and Dolly, further
highlights love’s capacity to forge resilience through mutual support. Through a close reading of these emotional
dynamics, the paper argues that Ghosh portrays love not merely as a personal sentiment but as a transformative
force that intersects with broader themes of historical trauma and identity. However, the fragility of love, especially
under the strain of war and colonial upheaval, underscores its limits as well as its enduring significance. Ultimately,
the novel affirms love’s role in preserving humanity amidst chaos.
Object Detection and Path Planning Algorithms for Autonomous Vehicles
Authors: Tamkhade Dr. Jayashree , Savji Avanti , Thorat Ved , Patil Vedashri
Published: November 2024

Abstract—With the increasing development in Artificial
Tech- nology (Ai), the area of application increases as well.
One such application of AI is Computer Vision, where the
computer learns through images and videos. In this
paper, we will explore various path planning and object
detection algorithms used in autonomous vehicles.
Autonomous vehicles drive without a driver, they are
equipped with RADAR, LIDAR sensors and many
cameras which acquire the data from the environment.
The path planning algorithm uses the data to predict the
optimal path for the vehicle to move.
Index Terms—Autonomous Vehicles, Object Detection,
Path Planning, RADAR/LIDAR
Hunerên Edebî Di Dîwana Mela ‘Ebdûllahê Babnîrî Da
Authors: Çağmar Mehmet Edip
Published: November 2024

Ev gotar li ser hunerên wêjeyî yên ku di dîwana Mela ‘Ebdullahê Babnîrî da hene ye. Babnîrî şexsîyetekî alim, nivîskar û wêjenas e. Di serî da wek beşa yekemin derbarê Mela ‘Ebdullahê Babnîrî da agahî hatîye dayîn. Di dû ra jî bi awayekî gelemperî behsa Dîwana wî hatîye kirin. Piştî van agahîyan wek beşa duyemîn li ser hunerên di dîwanê da hene hatîye rawestandin. Ji bîst heb zêdetîr huner di vê gotarê da hatîye şîrove kirin. Piştî nirxandina huneran encama gotarê tê. Dîwana Babnîrîyî ji alîyê naverokê jî û ji alîyê hunerê jî gelek dewlemend e. Mela ‘Ebdullahî helbestê ji bo çareserkîrina derdên civakê û gelî gotîye. Ji sedem vê taybetîyê helbestên xwe li ser mijarên ji gel ra girîng e gotîye. Ji bo bandorê li xwendevanê xwe bike cur cur hunerên wêjeyî bikaranîye. Di nav hunerên ku wî di helbestên xwe da îcra kirîye herî pir teşbîh, îstîare, kînaye, mecaza eqlî, mecaza mursel, telmîh, mubalexe, tîbaq û cînas e. Bêyî van huneran jî hunerên edebî hene lê belê bi qasî yên me li jorê got nînin.