bluuebunny/crossref_metadata_2025 huggingface dataset:
Panel Quantile Approach towards Exigent Determinants of Food Security in the Selected Developing Countries
Authors: Hafiz Asim  , Rehman Hafeez ur
Published: April 2024

This paper presents the comprehensive measurement of food security index by incorporating all of its dimensions for a panel of 50 developing countries. The study also empirically examines the exigent determinants of the overall food security index across developing countries by categorizing them into two distinct income groups from 2007 to 2020. The study used Panel Quantile Regression to capture and analyze the heterogeneous effects across different quantiles of the distribution. The findings reveal that urbanization, food prices, and unemployment negatively affect food security, whereas the effect of unemployment is obscure as the country’s income rises. Findings also indicate that carbon emissions may pose a significant threat to food security in newly industrialized countries. Furthermore, the findings also illustrate that GDP per capita, literacy rate, arable land, credit to agriculture, and institutional quality are significant contributors to food security. Hence, there should be a significant emphasis on improving the quality of institutions to strengthen the positive determinants of food security and mitigate their adverse effects.
Assessment Metrics: Insights into Students’ Perceptions across Higher Education Institutions
Authors: Mustaq Sadia , Siraj Darakhshan , Akhtar Samina , Ismaeel Ghazala
Published: April 2024

In every facet of educational practices, assessment is recognized as a driving force, and students' views on it serve as a crucial measure of its overall effectiveness. The current quantitative research pursuit primarily aims to determine how the assessment metrics affect students’ perceptions studying in higher education institutions. The study represents a population of 41,427 from seven public sector higher education institutions conveniently selected throughout the various regions of Punjab, Pakistan. Through a random sampling, the study examined students' experiences amongst a total of 1324 students, which were composed of 485 male participants and 839 female participants, for a better understanding of phenomena. The survey was conducted with the use of the Students’ Perceptions of Assessment Questionnaire (SPAQ), which was a specifically designed tool for gathering data about students' experiences with assessment metrics. The investigation used descriptive techniques like means and ANOVA tests to analyze the students’ views on the assessments. The results showed notable differences in the way students from different higher education institutions perceive the suitability, clarity, and fairness of certain assessment methods. These insights are significant for the key stakeholders and policymakers in the process of upgrading assessment strategies and ensuring fair and authentic practices in academics.
Does Environment Really Matter for Economic Sustainability: Exploring the Role of Green Energy in Pakistan's Economy
Authors: Naqvi Syed Kafait Hussain , Zahra Hafiza Sadaf , Memon Muhammad Abdul Basit
Published: April 2024

The key objective of the study is to investigate empirically the long-run Environment and Growth Sustainability nexus in Pakistan economy. To empirically achieve the objectives of the study, the Auto-Regressive Distributed Lag (ARDL) Bound testing method was employed from 1990 to 2022. Green energy is used to signify environmental performance indicators and GDP growth rate along with other conventional growth factors; physical capital and human capital are used as potential economic sustainability indicators. To rationalize the findings of ARDL, restricted and unrestricted models are also estimated. The findings of the study disclose that the series under consideration are co-integrated which directs the existence of the long-run relationship. It is found that green energy enhances economic sustainability in the long run however it adversely impacts economic sustainability in the short run in the case of Pakistan's economy. The empirical outcomes of the study validate the widespread concern of the literature on the existence of the “growth hypothesis” which supports, that there is a systematic positive causation running from green energy to economic sustainability. The study findings suggest that regulations in the energy sector can encourage the applications of green energy resources, particularly in the real sector of the economy, leading to reduced emissions. It is important to adopt international standards for firms and industries and an international collaboration framework is required to ensure economic sustainability to prevent environmental degradation.
Elderly in Pakistan: A Case of Old Age Home/Aafiat, Lahore, Social Welfare Department, Government of Punjab
Authors: Din Nazia Salah ud , Jabeen Tahira , Batool Maryam
Published: April 2024

Concern over ageing populations is rising as more healthcare facilities and other services for the elderly are needed, particularly in developing nations. In Pakistan, the loss of the joint family structure that provided older people with protection from their families has left them feeling insecure. Old age homes provide an alternate kind of care to traditional care for the elderly, with those who have no other means of housing or care taking up residence in these residential facilities. The current quantitative study was conducted with the objective to explore the causes of residing elderly in old age home, problems faced by elderly living in residential care and the satisfaction level of elderly regarding the services available for them in the institution. It was a cross sectional study and interviews were conducted with all 25 residents who were present at the time of data collection at the old age home/Aafiat in Lahore. According to the findings of the study mostly respondents were male and they were currently having no source of income. It was also found that there were multiple factors responsible for the respondents to reside in old age home including the absence of a family, financial constraints, physical/mental health issues, physical/verbal abuse faced by respondents, family’ misbehavior and lack of support.
CO-DIGESTÃO ANAERÓBIA DE VINHAÇA E ÁGUAS RESIDUÁRIAS DA BOVINOCULTURA LEITEIRA
Authors: De Santi Caraça Michel , Maria Duda Rose , Alves de Oliveira Roberto
Published: April 2024

O objetivo desse trabalho foi avaliar a co-digestão anaeróbia da vinhaça de cana-de-açúcar com águas residuárias da bovinocultura leiteira (ARBL). Durante o processo de destilação do etanol são produzidas quantidades significantes de vinhaça, que deve ser tratada de forma adequada para uma produção sustentável de etanol, podendo ser utilizada na digestão anaeróbia para produção de biogás. Para avaliação da digestão anaeróbia foram utilizados dois reatores de fluxo ascendente com manta de lodo (UASB), em série, com recirculação do efluente, que permitiu o acúmulo de alcalinidade, corrigindo o pH do afluente e melhorando as relações AVT/AT e AI/AP. A adição da ARBL, permitiu uma adequação nutricional satisfatória para digestão anaeróbia. A eficiência de remoção de DQO para o sistema foi de 76,7%, com uma produção específica de metano de 0,15 LCH4(gDQOremovido)-1.
COVID-19
Authors: Ferreira Osania Emereciano , Portari Rodrigo Levotti , De Cássia Guidastre Fernanda , Cássia Rodrigues Guardiano Bruna , Kalinke da Silva Priscila , Moreira da Silva Daniela
Published: April 2024

Diante da crise sanitária causada pela pandemia da COVID-19, ações que visem o controle da doença é uma das funções sociais da Universidade. Este trabalho teve por objetivo auxiliar a comunidade na qual a Universidade do Estado e Minas Gerais Unidade de Frutal-MG está inserida, com ações que amenizem os impactos da COVID-19, tais como a produção soluções  antisséptica, confecção e distribuição de máscaras e produção de material audiovisual e digital sobre temas relacionados ao enfrentamento da doença. Todos os produtos assépticos foram confeccionados nos laboratórios da UEMG, as máscaras foram confeccionadas em parceria com Associação de Proteção e Assistência Aos Condenados e distribuídos a instituições filantrópicas que estão lidadas ao atendimento da população mais vulnerável. Também foi confeccionado audiovisual pela Agência de Comunicação Inova da UEMG com o intuito levar informação correta de forma simples de fácil assimilação à população em geral. Este projeto possibilitou articular a universidade às diversas organizações da sociedade, contribuído para minimizar os impactos da pandemia com a doação de 60 litros de sabonete líquido, 400 litros de álcool 80% glicerinado, 350 litros de água sanitária, 300 barras de sabão e distribuição de 2000 mil máscaras, estima-se que mais de 2000 pessoas foram beneficiadas com a implantação do projeto. Com relação as atividades de mídia que foram veiculados em rádios locais e disponibilizada através de rede social, a fanpage, até o momento, conta com mais de 430 seguidores (até 8/7), com média de alcance orgânico de 51 mil pessoas (média de 17 mil pessoas por mês).
AVALIAÇÃO DO CRESCIMENTO DA MICROALGA Messastrum gracile EM MEIOS DE CULTURA COMERCIAL E ALTERNATIVO UTILIZANDO MELAÇO DE CANA-DE-AÇÚCAR EM MENOR COMPRIMENTO DE LUZ
Authors: Fenerick Débora Cristina , Lúcia Helena Sipaúba-Tavares
Published: April 2024

O cultivo de microalgas promove diversos estudos para propor melhor manejo na produção e diminuição de custos, pois a implantação desses sistemas é elevada, devido a necessidade de luz e meios de cultura de alto valor comercial. Otimizar e reduzir custos através de meios alternativos a base de plantas aquáticas (Eichhornia crassipes), fonte de carbono orgânico (melaço de cana-de-açúcar) e, também, redução do uso de energia são ferramentas essenciais para a implementação de um cultivo algal bem sucedido. Assim, o objetivo deste trabalho foi avaliar o desenvolvimento da microalga Messastrum gracile em meio comercial CHU12 em cultivo mixotrófico, utilizando melaço de cana-de-açúcar como fonte de carbono e  meio alternativo de macrófita (E. crassipes), em intensidade luminosa de 30umol m-2 s-1. No meio de macrófita foi observado os maiores valores de crescimento com densidade celular máxima de 197 x105 cels mL-¹ e no meio comercial, com 95x105 cels mL-¹. A taxa específica de crescimento foi de k= 0,41 (macrófita) e k= 0,27 (CHU12), com tempo de duplicação mais rápido no meio alternativo com 2,45 dias, enquanto no meio comercial foi de 3,70 dias. Os teores de clorofila-a foram de 1,15 mgL-¹ para E. crassipes e para CHU12 averiguou-se 0,66 mgL-¹. A utilização de resíduos biológicos e subproduto da agroindústria para a produção desses microrganismos são de suma importância para diminuição dos impactos negativos nos ecossistemas.
MAQUETE DO PROCESSO DE DESCONTAMINAÇÃO DA ÁGUA EM TRÊS FASES
Authors: Mariano Astolpho Iara , Nagy Lucas Marcelo , Dos Santos Sonia Maria , Silva Freitas Joyce , Molena de Assis Camila
Published: April 2024

Este trabalho apresenta a montagem de uma maquete para explicar o processo de descontaminação de águas em três etapas, utilizando a Moringa Oleífera como coagulante, um filtro caseiro para retenção de partículas menores e o processo SODIS para desinfecção das águas. Através do produto final, observou-se a viabilidade do processo de coagulação utilizando a sequência em três etapas bem como a possibilidade de implementação em comunidades que não possuem infraestrutura devido ao baixo custo. Conclui-se que temáticas como esta são importantes para exposições em feiras de ciência, permitindo o contato da comunidade com temas científicos, bem como a clareza do processo através de maquete, permitindo o alcance de investidores.
CIÊNCIA DO SISTEMA TERRA NO CURRÍCULO PAULISTA
Authors: Ponte Maxwell Luiz , De Camargo Renan Pinton , Piranha Joseli Maria
Published: April 2024

O ensino de Ciência do Sistema Terra integra conhecimentos relativos ao planeta Terra e oportuniza o desenvolvimento de pensamento sistêmico e mudanças de percepção, valorização e atitudes em favor da conservação ambiental. Embora não conste como componente dos currículos brasileiros, diversas iniciativas visam a adequada inserção dessa ciência na educação básica formal. Nesse sentido, procedeu-se o estudo do Currículo Paulista, currículo oficial da educação básica do Estado de São Paulo, adaptado à Base Nacional Comum Curricular, para identificação de habilidades afins ao ensino de Ciência do Sistema Terra na educação básica. Em decorrência, foram identificadas 153 habilidades nos componentes curriculares Ciência e Geografia. Apesar disso, nota-se que a organização curricular fragmenta os componentes, comprometendo o ensino. Assim, o estudo revela que o currículo paulista repete falhas e negligências com o ensino de Ciências da Terra comuns a outros parâmetros e currículos oficiais da educação nacional. Em consequência da presente análise, recomenda-se que estudos futuros foquem nas relações entre currículo, formação de professores e elaboração de materiais didáticos para legitimar o ensino adequado do Sistema Terra na educação básica, a partir das potencialidades ora identificadas no Currículo Paulista.
IMPLANTAÇÃO DE TRITURADOR DE GALHOS NOS MUNICÍPIOS E DA UTILIZAÇÃO DE RESÍDUOS VERDES PARA MELHORAMENTO E RECUPERAÇÃO DO SOLO
Authors: Acosta do Prado Jaqueline , Antônio Bataghin Fernando
Published: April 2024

A necessidade e o aumento da arborização urbana corroboram com um maior número de podas e possíveis supressões arbóreas, ampliando a quantidade de resíduos verdes gerados que necessitam de uma correta disposição e utilização. Também o que se pode levar em conta é que, triturando e utilizando esses resíduos para o beneficiamento de solos, diminui o volume de galhos e folhas verdes descartados incorretamente nos aterros sanitários, material comburente e um dos grandes causadores dos incêndios sanitários. Este trabalho objetiva avaliar e enumerar os benefícios que a implantação do triturador de galhos nos municípios. Foi desenvolvido através de revisão bibliográfica seguida de estudo de caso no município de Itápolis-SP. Face aos benefícios ambientais atrelados ao uso do triturador de galhos nos municípios e avaliando a implantação do triturador de galhos no município, desde a implantação até setembro de 2020, foram separados e triturados 1.796,200 quilos de resíduos verdes. O uso dos resíduos triturados foi destinado às hortas rurais e urbanas, recuperação de Áreas de Preservação Permanente degradada e em produções rurais. O incentivo e implantação desta tecnologia nos demais municípios pode ser uma medida importante para a redução do volume desse tipo de resíduo destinado aos aterros sanitários bem como propiciar o retorno desses nutrientes à ciclagem.
VIABILIDADE ECONÔMICA DA ENERGIA FOTOVOLTAICA EM CONDOMÍNIOS RESIDENCIAIS
Authors: Sousa Paulo Cesar , Cristina Rodrigues Cestari Isabel
Published: April 2024

A dinâmica tecnológica e o progresso que a sociedade tem vivenciado têm levado a uma demanda crescente de energia. As fontes de energia mais utilizadas caracterizam-se por serem não renováveis (combustíveis fósseis e nucleares) e, portanto, com potencial relevante de causar impactos ambientais. A energia fotovoltaica se constitui em uma alternativa viável para esta questão. A possibilidade de sua utilização no setor residencial e, sobretudo em condomínios residenciais, tem chamado a atenção. Nestes espaços há um consumo grande de energia, no que diz respeito ao uso nas áreas comuns. Este trabalho analisa a viabilidade econômica da implantação desta tecnologia em um condomínio residencial. Foi realizada uma simulação tendo como base um condomínio de 14 torres residenciais, localizada no município de Ribeirão Preto/SP. A simulação mostrou que a implantação é viável, com retorno anual de 32,59% do investimento e tempo de retorno de 37 meses.
PERFIL DOS CONSUMIDORES NAS FARMÁCIAS DA CIDADE DE JABOTICABAL-SP E PERSPECTIVAS PARA A LOGÍSTICA REVERSA DE MEDICAMENTOS
Authors: Siganha Guilherme Argel , Bataghin Fernando Antonio
Published: April 2024

A relação entre os fármacos e o meio ambiente e seus respectivos efeitos nocivos à saúde e à natureza passaram a receber uma maior atenção ao longo dos últimos anos em função, principalmente, de trabalhos científicos que apontavam sua detecção em amostras de efluente de esgoto, águas superficiais ou águas subterrâneas. O objetivo deste trabalho foi analisar a logística reversa de medicamentos. Esta pesquisa se caracteriza como pesquisa bibliográfica, descritiva, seguida de estudo de caso da rede farmacêutica no município de Jaboticabal, no interior do Estado de São Paulo, Brasil. Este trabalho identificou os principais fatores que podem influenciar na logística reversa de medicamentos. Dentre os medicamentos mais vendidos estão os analgésicos e antibióticos. Em relação ao perfil dos consumidores em sua maioria são mulheres na faixa etária de 40-49 anos. Cerca de 50% dos clientes não são informados quanto a necessidade de devolução dos medicamentos inservíveis, e quando isso ocorre a preocupação com o meio ambiente foi o argumento central. Ao se introduzir a temática à população e aos estabelecimentos geradores das cidades, espera-se a sensibilização a respeito da importância da logística reversa de medicamentos, sendo esta uma possível alternativa para a redução dos impactos gerado pelo descarte incorreto desses medicamentos.
OS DESAFIOS TÉCNICOS E MERCADOLÓGICOS DA BIOELETRICIDADE SUCROENERGÉTICA:
Authors: Ronquim Filho Adhemar , José Ferraresi de Araújo Geraldo , Oranges Cezarino Luciana , Bartocci Liboni Lara
Published: April 2024

O setor bioelétrico sucroenergético tem fundamental importância para o país, na medida que suas externalidades trazem ganhos econômicos, sociais e ambientais, como a geração de empregos dentro da cadeia produtiva, mitigação de emissão de gases efeito estufa, geração de eletricidade em complemento as grandes usinas hidrelétricas no centro sul do país e economia das reservas cambiais. Todavia, há a geração de eletricidade dentro das usinas de cana de açúcar são de complexidade técnica, como também sua venda no mercado elétrico nacional. Ante a importância da bioeletricidade sucroenergetica para o desenvolvimento sustentável do Brasil, justifica-se um estudo sobre a cogeração de energia no setor, como também seu potencial de geração de eletricidade e barreiras de expansão, objetivando dissertar sobre os tópicos supracitados. Nesse sentido, a metodologia utilizada foi a pesquisa descritiva, de natureza bibliográfica. é de fundamental importância o amparo e fomento por parte do governo federal, sobretudo através da criação de políticas que venham ao encontro do fomento as externalidades econômicas e ambientais da bioeletricidade sucroenergética que a sociedade.
PRODUTIVIDADE DE MICROALGA EM VINHAÇA COM BAIXA INTENSIDADE LUMINOSA
Authors: Sisto Paloma Cardoso , Pinheiro Bruna Pereira , Carlos Welyson Fernando do Prado de , Jardim Celso Antonio , Franco Claudenir Facincani
Published: April 2024

Os biocombustíveis ganharam espaço no mercado, com destaque para o biodiesel de microalgas, que apresentam produtividade muito superior as culturas agrícolas terrestres. Na região de Jaboticabal, existe a predominância de canaviais e unidades agroindustriais sucroalcooleiras, que produzem uma grande quantidade de vinhaça. A microalga pode ser uma solução, já que é uma energia mais limpa através da confecção de biodiesel com seu óleo. O objetivo deste trabalho é cultivar a microalga Selenastrum bibrainum em meio de cultura composto por vinhaça sob condições de baixa intensidade luminosa (1350 Lux). O experimento foi conduzido em delineamento inteiramente casualizado com cinco concentrações de vinhaça (0; 2,5; 5; 7,5 e 10% de vinhaça) com quatro repetições. A microalga Selenastrum bibrainum pode ser cultivada em meios com vinhaça. A melhor concentração encontrada foi a de 7,5% de vinhaça.
DEGRADAÇÃO DE RESÍDUOS VEGETAIS MELHORADOS COM ESTERCO BOVINO E CAPRINO E ANÁLISE DE TOXICIDADE DO CHORUME PRODUZIDO UTILIZANDO VERMICOMPOSTAGEM
Authors: Stroparo Erivelton César , Santos Gustavo Winiewski dos , Litchacowski Jonas , Mazur Douglas Luiz , Schirmer Waldir Nagel
Published: April 2024

No Brasil, metade da fração dos resíduos sólidos urbanos é de natureza orgânica. Estes rejeitos, quando dispostos de forma inadequada, podem formar líquidos e gases potencialmente tóxicos causando, assim, grandes impactos ao meio ambiente. Neste sentido, o presente objetivou avaliar o processo de vermicompostagem de materiais como resíduos de poda, folhas e galhos (na mistura com esterco bovino e caprino. Para tanto, construiu-se uma composteira de madeira, subdividida em quatro compartimentos devidamente preenchidos com misturas de massas totais semelhantes, variando apenas o tipo de esterco. Para o monitoramento da eficiência do processo de formação do composto (húmus), foram determinados parâmetros como umidade e matéria orgânica (MO). Foi avaliada ainda a fitotoxicidade do chorume produzido, mediante análise índice de germinação de Lactuva sativa L. (alface), utilizando sementes orgânicas e convencionais. Com 60 dias de monitoramento foram produzidos 17% de MO na mistura com esterco bovino, rendimento 8% superior ao caprino; entretanto, seria necessário mais tempo para a estabilização do composto. Foi verificado que os ensaios fitotóxicos com sementes orgânicas apresentaram índices de germinação superiores a 120%, em 10% de chorume bovino e 2,5% de chorume caprino, demonstrando efeito de estímulo; contudo, as sementes convencionais apresentaram resultados opostos, revelando efeito de toxicidade.
Kipling's Manboys and Boymen: Masculinity as Child's Play
Authors: Hirani Krisha
Published: April 2024

This thesis delves into the representation of boys and masculinity in Rudyard Kipling’s fiction through the lens of creative criticism. Using the methodology of a thought experiment,  the study meditates on whether male characters in Kipling’s nineteenth-century short stories are able to render a mature masculine identity, or whether they exist in a state of half-becoming, as ‘manboys’. The central contention posits that Kipling’s works are devoid of a definitive ‘man’ archetype; instead, they portray characters at varying stages of boyhood, shaping masculinity through skilful engagement in childlike play.

The analysis revolves around select short stories including “The Last of the Stories”, “The Strange Ride of Morrowbie Jukes”, “The Cry of Blood”, “The Mark of the Beast”, “The Man Who Would be King”, “The Story of Muhammed Din”, “Without Benefit of the Clergy”, “Beyond the Pale" and “All the Mowgli Stories”.

Central interpretations in the iconic Raj narratives includes an exposure of the fragility and domestic instability of expatriate culture’s dynamics, behaviours, and institutions. “The Man Who Would Be King” is read as an adventure undertaken by schoolboys. In “Without Benefit of the Clergy” and “Beyond the Pale", this playful masculine existence is intertwined with the awkward problem of first love. Moving between short stories, the study keeps a steady eye on the character of Mowgli from “The Jungle Books”, drawing comparing his development to that of other characters.

Navigating Kipling’s literary terrain has traditionally been a challenging endeavour within academia. However, this piece attends to the complexities of Kipling’s expansive imaginative realm. By redefining masculinity through the lens of playful mastery, this study intends a nuanced interpretation of several of his male characters, contributing to broader critical conversations surrounding gender, coloniality, childhood and psychoanalytic approaches to Literature.
Yurtlarda Kalan Üniversite Öğrencilerinin Fiziksel Aktivite İle Psikolojik İyi Oluş Düzeyleri: Adana Örneği
Authors: Çömez Polat Filiz
Published: April 2024

Bu araştırmanın amacı Adana ilinde yaşayan ve kamuya bağlı yurtlarda kalan üniversite öğrencilerinin fiziksel aktivite düzeyleri ile psikolojik iyi oluş düzeyleri arasındaki ilişkiyi etkileyen faktörlerin incelenmesidir. Araştırmaya gönüllü olarak yaş ortalaması 21.14 olan toplam 365 üniversite öğrencisi katılmıştır. Araştırmada demografik bilgi formu ile birlikte Uluslararası Fiziksel Aktivite Anketi Kısa Formu (UFAA-International Physical Activity Questionnaire) ve Psikolojik İyi Oluş Ölçeği (PİOÖ) kullanılmıştır. Verilerin analizinde tanımlayıcı istatistikler, Mann- Whitney U testi, Ki kare ve Kruskal Wallis testi kullanılmıştır. Yapılan istatiksel analizler sonucunda erkek öğrencilerin düşük şiddetli fiziksel aktivite ve yüksek şiddette fiziksel aktivite düzeyleri ile sportif katılım düzeylerinin kadınlara göre daha yüksek olduğu; psikolojik iyi oluş ve yurt memnuniyeti bakımından cinsiyetin anlamlı bir farklılık yaratmadığı; fiziksel aktivite ile psikolojik iyi oluş düzeyi arasında da pozitif ve düşük düzeyde anlamlı bir ilişki (Pearson korelasyon; p<0,05) olduğu saptanmıştır. Ayrıca öğrencilerin kendilerine yönelik mevcut psikolojik algısının olumlu olmasının, yurtta kalmaktan memnun oluşlarının, sportif faaliyetlere katılım göstermelerinin ve aktif olarak bir sporla uğraşmalarının psikolojik iyi oluşu desteklediği belirlenmiştir.
Individualization of independent work in the professional training of future teachers: An experimental study
Authors: Sylenko Yuliia
Published: April 2024

The individualisation of independent work in the professional training of future teachers contributes to the stable achievement of results in professional and pedagogical training, as it takes into account the needs, motivation, and capabilities of the student. One of the leading technologies of innovative education is tutoring, which ensures an open educational environment in a higher education institution. The article outlines the results of an experimental study of the state of individualisation of independent work in the professional training of future university teachers on the basis of comprehensive, competence-based, systemic and activity-based approaches. The experiment was conducted in the form of a questionnaire among 54 respondents – master students majoring in “011 – Educational, Pedagogical Sciences” of the Mykhailo Drahomanov Ukrainian State University in order to find out their attitude to the current individualisation of independent work and the introduction of tutoring technology. The respondents were offered a Google Forms questionnaire “The current state of individualisation of students' independent work in higher education institutions”, which consisted of 10 questions with possible answers. The results of the experiment showed that modern higher education institutions do not provide adequate conditions for the development of important skills and qualities in students, such as independence, the ability for self-education, self-development, and self-knowledge. It is established that the majority of master's students express their dissatisfaction with the organisation of individualised independent work in higher education institutions, which is due to insufficient attention to their interests, needs, and motives. It is proposed to introduce an integrated form of professional and pedagogical training of future teachers – tutoring technology as an important mechanism for innovating education, which can ensure the openness of the educational and scientific environment. The essence of the educational process under the guidance of a tutor, when a student acts as a tutor on the basis of subject-subject partnership interaction, is revealed. The results of the confirmatory experiment make it possible to further study the conceptual foundations of tutoring as a leading technology for individualising the educational and scientific process. The developed experimental study on the current state of individualisation of independent work in higher education institutions can be implemented at all levels of training of future pedagogical specialists
The Growth Performance of Yankasa Rams Fed Gamba Grass (Andropogon Gayanus) and Various Levels of Ensiled Urea Treated Groundnut Shell Meal Supplementary Diet
Authors: G. O. Ochepo
Published: April 2024

This study was carried out to investigate the feed intake, nutrient intake, and growth performance of Yankasa rams fed gamba grass (Andropogon gayanus) and various levels of ensiled urea treated groundnut shell meal supplementary diet. A total of twenty (20) growing Yankasa rams aged between 7 and 8 months with an average body weight of 11.50 kg were used for this experiment. Five treatment groups were established, with varying levels of UTGSM supplementary diet (0%, 5%, 10%, 15%, and 20%). Parameters such as organic matter, crude protein, fiber, ether extract, ash, NFE (nitrogen-free extract), concentrate, and forage intake were measured. Average total weight gain and average daily weight gain were also determined. The results showed significant variations in nutrient intake among the treatment groups. The results showed that animals on T5 with 20% UTGSM inclusion in their supplementary diet had the highest feed intake, nutrients intake and growth performance compared to the other treatments. It was concluded that 20% level of UTGSM inclusion could replace maize offal 100% in the supplementary diet of Yankasa rams to improved feed and nutrients intake, and growth performance. It was recommended that livestock producers can incorporate up to 20% of UTGSM into small ruminants feed in order to reduce the cost of production especially during the dry season.
Ecological Implications of Non-Standardized Crude Oil Refining Operation on Blue Carbon Resources in the Niger Delta
Authors: S. S. Aghomi , O. K. Berezi
Published: April 2024

This study, through a review of existing literature, investigates the implications of non-standardized refineries on the mangrove ecosystem in the Niger Delta region of Nigeria. The Niger Delta region is home to one of the largest blue carbon sinks and mangrove ecosystems in the world, providing important habitat for a diverse range of species and playing a crucial role in carbon sequestration. However, the presence of non-standardized refineries in the area has raised concerns about the potential environmental impacts on the delicate ecosystem. These refineries often operate without regulations or oversight, leading to pollution of waterways, destruction of habitat for various species, and disruption of the natural food chain. This study examines the specific ways in which these non-standardized refineries are affecting the mangrove ecosystem and explores potential solutions to mitigate their negative effects. Findings from this study show that non-standardized refineries in the region are significant sources of pollution, leading to mangrove destruction. The study revealed the environmental issues, risks, and ecological significance of mangroves in the Niger Delta. The study emphasized the urgent need for better regulation and enforcement to protect these important mangrove habitats from further destruction. Finally, the study concluded that protecting the mangroves of the Niger Delta is essential for the overall health of the region.
Infrared Fourier Transform Spectroscopy Method for Analysis of Valsartan and Amlodipine Besylate Combination
Authors: Bachri Muchlisyam , Husna Nabyla Ummil
Published: April 2024

This study investigates the analysis of the combination of Valsartan and Amlodipine besylate using the Infrared Fourier Transform and its quantitative calculations by chemometrics based on partial least squares with several variables. A calibration model has been formulated, and absorbance besylate measurements at wave numbers of 1634-1566 cm-1 for valsartan and 1127-1059 cm-1 for amlodipine every 2.0 cm-1. Then simultaneously determine valsartan and amlodipine combined in the tablet preparation. The Infrared Fourier Transform method used for Amlodipine besylate and Valsartan with calibration are y = 13.1317 X -0.0595 and y = 129,731 X - 0.026. The validation parameters is 0.9995, and 0.9999 for R2 values, RMSCEV is 0.02427 and 0.003189, and PRESS is 0.02121 and 0.0003662. Prediction ability was still acceptable and good for determination. The levels result were (101.52±2.74)% and (98.47±5.71)%, and valid with Relative Standard Deviation (RSD) respectively 2%, and average recovery percent obtained in range of 98-102%. The method identified provided guaranteed compliance with USP 43-NF 38 (2020).
Development of Fuzzy Logic Controller in Automatic Vehicle Navigation using IoT
Authors: S Devikala
Published: April 2024

The integration of fuzzy logic controllers in automatic vehicle navigation systems represents a significant advancement in intelligent transportation systems, especially when paired with Internet of Things (IoT) functionalities and optimized through genetic algorithms. This innovative fusion harnesses the precision of fuzzy logic, the connectivity of IoT, and the optimization capabilities of genetic algorithms to transform automatic vehicle navigation. Fuzzy logic controllers excel in managing uncertainty and imprecision, providing decision-making capabilities akin to human reasoning. By simultaneously assessing multiple inputs and determining actions based on degrees of truth, fuzzy logic enables safe and efficient navigation in dynamic driving environments with fluctuating variables like obstacle proximity and traffic flow. IoT integration enhances navigation systems by enabling real-time data collection and sharing among vehicles and infrastructure, fostering adaptive route planning and improving the overall navigation experience. Genetic algorithms further optimize system performance by iteratively adjusting fuzzy logic controller parameters, ensuring efficient decision-making tailored to specific performance criteria such as travel time and fuel consumption. This collaborative integration of fuzzy logic controllers, IoT, and genetic algorithms offers a holistic solution to the challenges of automatic vehicle navigation, enhancing safety, efficiency, and adaptability in complex driving scenarios. Beyond enhancing individual vehicle performance, this approach contributes to overall transportation system efficiency and safety by mitigating traffic congestion, reducing emissions, and minimizing accidents. Consequently, these integrated systems address crucial societal challenges and pave the way for widespread adoption of autonomous vehicles in the future.
Basketball Tactics Analysis Based on Improved Openpose Algorithm and Its Application
Authors: Xu Mingsheng
Published: April 2024

The use of information technology has currently resulted in a change in people's production and lifestyles as well as a catalyst for the sports industry's evolution. Currently, there is a growing use of digitization in the sports industry's basketball realm. Using 2D posture estimation, a novel lightweight deep learning architecture (LDLA) is built to accomplish the automatic analysis of basketball game footage. We offer a real-time method to identify numerous people's 2D poses in a video. Additionally, it examines how 2D pose estimation might be used to analyse basketball shooting videos.  First, group and global motion features are extracted to represent semantic events. A full basketball game video is broken down into three stages: clip-based segmentation, classification of semantics occurrences utilizing audio and video, and temporal sequence characteristics employing GRU CNN. Video is first processed to create some basic video categorization and segmentation using the visual, movement, and auditory data. Further use of domain knowledge is made to find important events in the basketball video. Shot and image threshold recognition algorithms for videos have used both optical and kinematic prediction information; scene classification comes next. The placements of probable semantic events, such as "fouling" and "shooting at the basket," are then discovered by comparing the multidimensional data with supplementary domain expertise. Experimental results demonstrate the proposed LDLA method achieves 99.6% of accuracy, 93.2% of precision, 93.5% of recall and 89.5% of F1-score.
Quality Improvement Model of English Teaching in Universities Based on Big Data Mining
Authors: Lei Yu, Yunyun Zhu Wentao Meng,
Published: April 2024

Big data mining in English teaching revolutionizes language instruction by leveraging vast amounts of data to personalize and optimize learning experiences. This approach utilizes sophisticated algorithms to analyze learners' language usage patterns, comprehension levels, and areas of difficulty. This paper presents a novel Quality Improvement Model of English Teaching (QIMET) tailored for universities, integrating big data mining techniques with a Stacked Hashing Edge Computing Model (SHECM). Recognizing the importance of enhancing English language proficiency among university students, particularly in an increasingly globalized educational landscape, this research aims to optimize English teaching methodologies through advanced computational approaches. The proposed QIMET framework leverages big data mining to analyze extensive datasets of student performance, language usage patterns, and instructional effectiveness. By extracting valuable insights from these datasets, educators can identify areas for improvement, tailor teaching materials, and personalize learning experiences to meet individual student needs. Simulation analysis of Across a dataset of 500 university students enrolled in English language courses, QIMET achieves an average improvement of 30% in language proficiency scores compared to traditional teaching methods. Moreover, specific language skills exhibit notable enhancements, with vocabulary acquisition increasing by 25%, grammar comprehension by 20%, and communication skills by 35%. The integration of the SHECM enhances the computational efficiency and scalability of the QIMET framework. Real-time data processing and analysis enable educators to make timely interventions and adjustments to teaching strategies, resulting in more responsive and effective English language instruction.
Convolutional Neural Networks for Early Detection and Classification of Alzheimer's disease from MRI Images
Authors: Pranoti Prashant Mane
Published: April 2024

This ponder examines the early discovery and classification of Alzheimer's Illness (AD) from MRI pictures utilizing Convolutional Neural Systems (CNNs) and other machine learning strategies. The investigation compares the execution of CNNs with conventional calculations such as Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) on a dataset comprising MRI filters from Ad patients and sound controls. Results illustrate that CNNs accomplish prevalent precision (92%), affectability (90%), specificity (94%), and zone beneath the ROC bend (AUC) of 0.96 compared to SVM, RF, and XGBoost. The ponder highlights the potential of profound learning approaches, especially CNNs, in precisely distinguishing Ad pathology from MRI looks, encouraging early determination and intercession. This investigation contributes to the developing body of writing on the application of counterfeit insights in therapeutic imaging and underscores the significance of leveraging progressed computational procedures for handling complex neurological clutters. The discoveries hold a guarantee for progressing quiet results and healthcare administration within the field of neuroimaging and personalized medication.
Data-Driven Decision Support Systems for Drug Discovery and Development: A Case Study in Pharmaceutical Management
Authors: Rohit R Dixit
Published: April 2024

This paper covers the use and influence of data-driven decision support systems (DSS) on drug management, particularly in the areas of drug exploration and production. The study, which employed a mixed-methods approach, involving literature review, qualitative interviews, quantitative assessments, and case study analysis, reveals the AI, machine learning and big data analytics ability to drive drug discovery and development processes revolution in the pharmaceutical industry. The study shows that handling of DSS allows sound decision making, consequently resulting in improved efficiency, decreased expenses and better innovation throughout the drug development process. Areas like data integration, algorithm robustness, and regulation are identified as the major issues, which offers an insight into the importance of these areas of concern in the effective application of a data-driven approach in pharmaceutical management. Such contrast with the like works underlines the role of our findings as an essential link in the AI-driven healthcare innovations chain. The research provides a foundation for further improving the state of knowledge and understanding of DSS in drug management, guiding future research aiming at expanding conceptual frameworks and designing practical implementations.
Advanced Kidney Failure Identification Using Robotic Process Automation with Augmented Intelligence and IoT-Based an Integrated Healthcare System
Authors: S Lalitha
Published: April 2024

Chronic Kidney Failure (CKF) remains a significant health concern worldwide, necessitating advanced diagnostic techniques for timely intervention. This research delves into the integration of Robotic Process Automation (RPA) with Augmented Intelligence and the Internet of Things (IoT) for enhanced CKF detection. The proposed RPA system showcased a diagnostic accuracy of 92%, a notable improvement from the 75% observed with traditional methods. Moreover, the system efficiently delineated the kidney contour in an average of 20 seconds, considerably faster than existing techniques. The collaborative force of Augmented Intelligence and IoT was instrumental in achieving these results, emphasizing real-time data collection coupled with sophisticated analysis. This fusion not only bolstered accuracy but also emphasized early detection, with the system's capability to provide instant notifications enhancing the potential for proactive interventions. In essence, this research underscores the transformative potential of integrating technological advancements with medical expertise, offering a promising avenue for CKF diagnosis and potentially reshaping the landscape of medical diagnostics in other domains.
Hybrid Energy-Efficient Task Offloading Algorithm (HEETA): A Framework for Optimizing Edge Computing Offloading Decisions
Authors: M. Krishnamurthy, P. S. Rajakumar, V. Saritha Pradeep G., S. Ramamoorthy,
Published: April 2024

In the evolving realm of Mobile Edge Computing (MEC), efficient task offloading remains pivotal. This paper introduces the Hybrid Energy-Efficient Task Offloading Algorithm (HEETA) to address the deficiencies of the current Joint Optimization Task Offloading Strategy based on Particle Swarm Optimization (JOBPSO). Drawing from a broad dataset encompassing diverse MEC operational variables, HEETA exhibits exemplary performance metrics, with a notable mean fitness of approximately 0.99984 and a minimal standard deviation of 0.000116. Such metrics not only reflect HEETA's robustness but also its adaptability across multifaceted MEC parameters. Furthermore, its dynamic nature facilitates adaptability to variables including task numbers, computational capacity, and latency constraints, resulting in marked improvements in energy efficiency. Quantitative evaluations, as evidenced by a performance matrix, position HEETA's global best fitness values between approximately 0.9998 and 0.9999. While HEETA signifies a monumental step in enhancing energy efficiency, prolonging device longevity, and optimizing overall MEC system performance, the research acknowledges potential limitations, emphasizing the imperatives of accurate modeling and subsequent validations within distinct MEC environments.
Ensemble Methods with Statistics and Machine Learning on the Class Imbalance Problems of EEG data
Authors: Sneha Mishra
Published: April 2024

Class imbalance in EEG data sets is a significant issue that affects the quality of outputs. The uncertainty in the data sets, which can be small or large, can lead to class imbalance problems (CIP). This imbalance can lead to highly imbalanced predictive models. The selection of random samples for algorithms can result in high variation of classes. Data sets of EEG are generated as image data sets and are often random and never repeat, causing a high variation in classes. To address this issue, various sampling methods on the data and heuristics are being developed to develop predictive models which were in vogue based on the level of the uncertain state.
Summary Paper: An Initial Heliostat Supply Chain Analysis
Authors: Kurup Parthiv , Akar Sertac , Augustine Chad , Feldman David
Published: April 2024

This paper summarizes the prior analysis, key findings, and recommendations from the published report titled “Initial Heliostat Supply Chain Analysis” [1]. Globally, the growing demand for concentrating solar power (CSP) technologies, primarily for electricity generation plants has been met with supply chains primarily composed of plentiful commodity materials such as steel, aluminum, and glass. Often the commodity materials can be sourced in the domestic market where power plant will be constructed. Although specialty components are required for CSP solar fields —including mirror panels used for heliostat applications—these specialty components constitute about 30-50% of total system installed costs [2]. Only a few companies and countries, including the United States, have developed the capacity to supply such specialty components. The U.S. heliostat supply chain at present is comprised of few companies (e.g., CSP developers), component suppliers, and is its infancy.
By 2035, with current and aggressive solar photovoltaic (PV) capacity expansions, there is the potential for 500,000–1,500,000 direct and indirect jobs in the areas of manufacturing, installation and development, and operations and maintenance (O&M) [3]. Utilizing the CSP capacity estimations the recent NREL report [4], the construction of 39 gigawatts (GW) of CSP (assuming mainly power tower) in the U.S. could lead to approximately 195,000 manufacturing, construction, and O&M jobs. This does not include the longer-term jobs and economic impact (e.g., taxes from plant operations staff) from operating the plants once constructed. It is recommended that further CSP component and system supply chain analysis and modelling be undertaken.
Đánh giá các yếu tố liên quan đến chất lượng cuộc sống của trẻ mắc bệnh lý ruột viêm
Authors: Hà Nguyễn Thị Việt , Phước Nguyễn Trọng
Published: April 2024

Bệnh ruột viêm là tình trạng viêm mạn tính của đường tiêu hóa gây ảnh hưởng đến chất lượng cuộc sống (CLCS) của người bệnh. Nghiên cứu mô tả cắt ngang trên 39 trẻ từ 5 - 17 tuổi tại Bệnh viện Nhi Trung ương từ 15/10/2022 đến 1/8/2023 với mục tiêu đánh giá các yếu tố liên quan đến CLCS của trẻ mắc bệnh ruột viêm. CLCS của bệnh nhân được lượng giá bằng bộ câu hỏi PedsQLTM 4.0 phiên bản Tiếng Việt, sau đó lần lượt phân tích mối liên quan giữa các yếu tố nhân khẩu - xã hội học, các yếu tố bệnh học và các yếu tố điều trị với CLCS bằng mô hình hồi quy tuyến tính đơn biến. Nghiên cứu ghi nhận các yếu tố liên quan đến sự giảm CLCS tổng quát của trẻ mắc bệnh ruột viêm bao gồm kinh tế gia đình nghèo/cận nghèo, mức độ hoạt động bệnh vừa - mạnh, thiếu máu, suy dinh dưỡng thể nhẹ cân, phải sử dụng từ 3 loại thuốc trở lên và phải can thiệp phẫu thuật. Ngoài ra, những trẻ khởi phát bệnh rất sớm hoặc diễn biến bệnh kéo dài trên 5 năm có sự giảm CLCS lĩnh vực học tập và trẻ nữ có điểm CLCS lĩnh vực cảm xúc thấp hơn trẻ nam. Các bác sĩ lâm sàng và người chăm sóc trẻ cần chú ý và quan tâm hơn đến những trẻ có các yếu tố trên để kịp thời phát hiện và hỗ trợ giúp nâng cao CLCS của trẻ.