bluuebunny/crossref_metadata_2025 huggingface dataset:
Atrial Fibrillation Detection from Ambulatory ECG with Accelerometry Contextualisation: A Semi-Supervised Learning Approach
Authors: Voinas Alex Efstathios , Kumar Devender , Smeddinck Jan , Stochholm Andreas , Puthusserypady Sadasivan
Published: September 2023

Atrial fibrillation (AF) is a common cardiac arrhythmia causing severe complications if left untreated. Due to its sporadic nature, early detection often requires longitudinal ambulatory electrocardiogram (ECG) screening. Recently, deep learning (DL) has gained prominence in analysing long-term ECG and automating AF detection. However, like any medical classification problem, obtaining diverse labelled ECG data for DL model training is expensive and time-consuming. This paper proposes a semi-supervised learning (SSL) based AF classification model employing a variational auto-encoder (VAE). It leverages varying amounts of labelled and unlabelled ECG data to optimise the AF detection performance on ambulatory ECG. As ambulatory contexts under free-living conditions influence ECG recordings, we incorporate context via accelerometry data and experiment with its influence on model performance. Our proposed SSL model was trained on ECG data from 72,003 unique patients and can classify between sinus rhythms, AF, and other arrhythmias. Experimental results on our unseen test dataset and the publicly available CACHET-CADB dataset clearly demonstrate the model’s generalisability, achieving an accuracy of over 91% with just 20% of the training set being labelled. With extensive experiments, our study exhibits the ability of SSL to improve AF detection from ambulatory ECG using small amounts of labelled data.
Artificial Intelligence vs. Natural Stupidity
Authors: Lo Nostro Pierandrea
Published: September 2023

The number of articles, contributions, TV reports and tweets, squeaks and cheeps on the social networks that deal with the emerging and invasive role of artificial intelligence (AI) in several aspects of our life is increasing enormously, day by day.

Like for other hot issues, the use of AI has bright and dark sides. Some are sincerely excited by the potential beneficial outcomes of its applications, others are scared by the potential drawbacks, including some challenging limitations to human freedom.

AI is an incredibly powerful machine. It can make calculations and infer conclusions starting from huge datasets and with such a speed that is absolutely inconceivable for a human being. However the history of technology teaches us that the problem is always in the mind and in the hands of the user and, particularly in this case, of the developer. It is not necessary to be sluggishly reluctant to accept innovations and changes to advance serious doubts on the consequences of AI. Some of these effects are, at the moment, unforeseeable.
Gespreksvaardig in social work en ggz: Speelvelden voor communicatie
Authors: Ehlers Sonja , Volkers Alfred
Published: September 2023

Voor het voeren van gesprekken met cliënten is een goede communicatie van groot belang. Als hulpverlener weet je dat een veilige relatie, gelijkwaardig contact maken vanuit een open belangstellende houding een basisvoorwaarde is. Echter is het ook belangrijk dat het gesprek een structuur heeft, zodat je niet verzandt in het verhaal. Gespreksvaardig in social work en ggz biedt hiervoor een flexibele methode. De methode is het H-model, met vijf speelvelden om samen met je cliënt op onderzoek uit te gaan. De speelvelden zijn geïllustreerd met tekeningen. Hiermee nodigen de auteurs je uit om taal te ondersteunen met beelden. Ieder speelveld biedt een eigen perspectief aan de cliënt om een problematische situatie te verkennen, hulpbronnen te vinden en haalbare stappen te zetten. Verder komen ook de gebruikelijke gespreksvaardigheden aan de orde in dit boek. De methode is bruikbaar voor het brede veld van sociaal werk en voor psychologen, FACT, ggz-agogen, poh-ggz, artsen, leerkrachten, coaches en dergelijke. Sonja Ehlers is onder andere orthopedagoog en jarenlang docent praktisch pedagogische gezinsbegeleiding. Alfred Volkers is trainer/coach/supervisor en werkt al vele jaren in de jeugdzorg. De illustraties zijn van Wilna van den Heuvel. Zij is kunstenaar, docent sociaal werk en supervisor.
Analisis Susut Energi Pada Titik Sambung Ring Penyulang Sepat Menggunakan Thermovision Di PT PLN (Persero) Rayon Kota Metro
Authors: Dj Daswaeptia , JECKSON JECKSON , Serio Lago Arif Fauzan
Published: September 2023

In electric energy dispatch process, interference were often found especially at medium voltage network. One of major problem from this processis the loss of electricsl energy which called losses. Losses caused be technical and non technical factors.One causes of the factor itself come from poor connecting point. This paper presents losses calculating with the result which caused by poot connecting point. Power loss count by long and cross sectional area at the connecting point. It also infected by the amount of load current flowing at that point. The biggest value of power loss occur at the connecting point which use joint sleeve. Otherwise, the smallest value of power loss occur at the connecting point which use compression connector (CCO).
Matakan Ginin Karin Maganganu Na Mutane Masu Buƙata Ta Musamman
Authors: Shuni Mustapha Ahmad , Mukoshy Jamilu Ibrahim
Published: September 2023

Wannan maƙalar ta yi nazarin karin maganganu na mutane masu buƙata ta musamman domin gano falsafar Bahaushe a kan wannan rukunin mutane da kuma tubalan da ake amfani da su wajen ginin karin maganganu masu alaƙa da su. Binciken ya yi amfani da manya da ƙananan hanyoyin tattara bayanai waɗanda suka haɗa da: Tattaunawa da lura ta kai-tsaye, da sauraren kafafen yaɗa labarai da ziyartar ɗakunan karatu na manyan makarantu don samun bayanai da karin maganganu masu alaƙa da mutane masu buƙata ta musamman. Sakamakon binciken ya yi nasarar fito da falsafar Bahaushe kan mutane masu buƙata ta musamman da kuma tubalai biyar da ake amfani da su wajen ginin karin maganganu na mutane masu buƙata ta musamman. A ƙarshe, maƙalar ta kammala da cewa, akwai jinsin mutane masu buƙata ta musamman a cikin Hausawa waɗanda ke da tunani da hikimomi da basira irin tasu. Sai dai, rashin kyakkyawar kulawa da kuma ƙyamar da wasu mutane ke nuna musu, ya sa suka zama tamkar saniyar ware a cikin al’umma. Saboda haka akwai buƙatar masana da manazarta su ƙara himma ga bincike a kan al’amurran da suka shafi waɗannan mutane domin inganta rayukansu da ciyar da al’umma gaba.
Knowledge and Training Needs of Primary Healthcare Physicians Regarding Obesity Management in Saudi Arabia: A Systematic Review
Authors: A Alhazmi Trke Mohammed , Alenezi Maha Khaled H. , Alanazi Meshari Fazzaa S. , H Almatrafi Abdulaziz Ramdan
Published: September 2023

Background/Objectives: Obesity has surged globally, posing various health risks. Its prevalence and management, especially in primary health care settings in Saudi Arabia, have recently been under the spotlight. This research synthesized various studies, analyzing the knowledge and preparedness of primary health care physicians in addressing and management of obesity in Saudi Arabia. Methods: An exhaustive evaluation of studies spanning different regions of Saudi Arabia, focusing on physicians' capabilities, knowledge, and practices in obesity management. This analysis also took into account the comparative approaches of countries like Canada, the UK, USA, and Hungary. Various factors, such as specialized obesity treatments, patient-centric approaches in pediatric obesity, career stages of physicians, obesity's correlation with noncommunicable diseases, and nutritional competence, were studied. Results: Nine studies were included. From a collective pool of 2430 participants across the discussed studies, challenges in obesity management were consistent. Despite having an understanding of obesity, there was a significant knowledge gap in specialized treatments, with many physicians feeling unprepared to manage the condition. Factors such as geographical diversity, physicians' experiences, external influences on pediatric obesity management, and the correlation between obesity and other health conditions were highlighted. The need for effective nutrition care, despite perceived capability, was a notable finding. Conclusion: Saudi Arabia faces a significant challenge in obesity management in primary health care settings, marked by knowledge gaps and the need for continuous training. The analyzed studies emphasize the importance of tailored interventions, robust training modules, and public health campaigns within Saudi Arabia's unique context to combat the obesity epidemic effectively.
OFICINAS IN ON-LINE: INTERVENÇÃO GRUPAL COMO POTENCIALIZAÇÃO DE ATIVIDADES CRIATIVAS DE INCLUSÃO NO CONTEXTO UNIVERSITÁRIO
Authors: Maria Angélica de Moura Bueno  , Regina Célia Titotto Castanharo  , Paulo Justiniano Ribeiro Júnior
Published: September 2023

Devido à pandemia da Covid-19, desde 2020 as Universidades foram obrigados a cancelar as atividades presenciais e implementarem atividades EaD em modalidades síncronas e assíncronas. Este artigo objetiva relatar experiência Oficinas on-line com estudantes recém ingressos nos cursos de graduação no ensino superior público. Assim, a preocupação é promover Acolhimento aos estudantes ingressantes nas universidades, período crítico de adaptação. A metodologia qualitativa constou em 2022 de realização de 21 Oficinas no modo on-line na universidade. Obteve-se 78 participações nas Oficinas on-line após sistematização de envio de convites pelo aplicativo Teams e processo de construção de categorias pelo diário de campo e Análise de Conteúdo de Bardin. Denotou-se a importância da conexão psicossocial no momento do ingresso universitário e a preparação técnica docente essencial para alcance efetivo das modalidades virtuais. Espera-se realizar uma ampla discussão comunitária de aspectos favorecedores à formação no ensino superior público tanto na capacitação docente quanto nas ferramentas de EaD e atividades grupais sobre o impacto e o protagonismo estudantil na garantia de permanência derivada.
ABORDAGENS E CARACTERÍSTICAS METODOLÓGICAS DOS ESTUDOS QUALITATIVOS SOBRE SAÚDE VOCAL DO PROFESSOR: REVISÃO INTEGRATIVA
Authors: Christina César Praça Brasil  , Klayne Cunha Matos  , Waléria Tomaz Pacífico  , Lorena de Almeida Ramos  , Andrea Cintia Laurindo Porto  , Rita Feio da Gama Alegria
Published: September 2023

A maior parte dos distúrbios ocupacionais da voz são de natureza funcional. O esforço vocal excessivo e prolongado pode levar ao desenvolvimento de alterações crônicas. A grande quantidade de informações científicas produzidas e veiculadas na área da saúde vocal requer dos especialistas um olhar atento às melhores evidências que auxiliam na resolubilidade ou amenização do problema. Objetivos: Investigar os principais temas e abordagens metodológicas dos estudos qualitativos sobre saúde vocal do professor. Métodos: Revisão integrativa realizada nas principais bases e portais de dados da saúde, seguindo as etapas: escolha do tema e elaboração da pergunta norteadora; critérios de elegibilidade dos artigos para inclusão e exclusão; estratégia de busca, seleção de estudos e extração de dados; análise dos dados coletados. A pergunta norteadora foi: “Quais os principais assuntos abordados e características metodológicas das pesquisas qualitativas que versam sobre a saúde vocal dos professores publicadas de janeiro de 2012 a dezembro de 2022?” Resultados: Identificaram-se 364 estudos, com a inclusão de 21 para análise. Os principais objetivos das investigações selecionadas referem-se a percepções de professores ou profissionais de saúde sobre: propostas de intervenção e promoção da saúde vocal; fatores que interferem na saúde vocal; associação entre saúde vocal e trabalho; associação entre saúde vocal e qualidade de vida; avaliação de tecnologia voltada à saúde vocal; e atuação do fonoaudiólogo na saúde vocal do professor. Entrevistas semiestruturadas foram as estratégias mais utilizadas para a coleta, e a análise de conteúdo, para a análise e organização dos dados. Observaram-se alguns artigos com abordagem mista. Conclusões: Este artigo auxilia na ampliação do conhecimento sobre estudos qualitativos na área de saúde vocal do professor, evidenciando suas características e fortalecendo a associação entre teoria e prática, o que contribui para a tomada de decisão e a aplicação das melhores práticas no cuidado à saúde.
Pengaruh Pelaksanaan Pemberian Makanan Tambahan Penyuluhan (PMT-P) Terhadap Pola Makan Dan Status Gizi Pada Balita (12-59 Bulan) Di Bakaran Batu
Authors: Simanjuntak Sartika , Sinaga Haripin Togap
Published: September 2023

Indonesia adalah negara berkembang yang memiliki permasalahan yang kompleks terutama dalam masalah gizi. Berdasarkan hasil SSGI (2021), Kabupaten Deli Serdang memiliki (underweight) sebesar 11,30% dan sebesar 9,5% (wasted). Akibat kekurangan gizi berdampak pada pertumbuhan dan perkembangan balita sehingga menyebabkan gizi buruk dan stunting.Oleh karena itu, upaya pemerintah untuk mengatasi masalah gizi dengan mengeluarkan Undang-Undang No 36 Tahun 2009 tentang Kesehatan pasal 170 dan 171. Upaya pencegahan dilaksanakan melalui pemantauan pertumbuhan diposyandu sedangkan balita yang memiliki masalah gizi ditindaklanjuti dengan program pemberian makanan tambahan (PMT). Penelitian ini bertujuan untuk menilai pengaruh PMT Penyuluhan terhadap pola makan dan status gizi sebelum sesudah pemberian makanan tambahan sebagai bahan acuan informasi mengenai PMT Penyuluhan yang digemari balita kepada Puskesmas dan Desa di Bakaran Batu. Metode yang digunakan dalam penelitian ini adalah data primer yang dikumpulkan langsung oleh peneliti dan data sekunder untuk melengkapi kebutuhan penelitian yang didapatkan dari Posyandu di Bakaran Batu Dusun 4 dan 5. Jenis penelitian ini adalah Quasi Eksperimen dengan desain one group pre and post test. Populasi dalam penelitian seluruh balita yang mengikuti Posyandu Wijaya Kesuma Dusun 4 dan 5 dengan sampel sebesar 30 orang.
AVALIAÇÃO DO CONHECIMENTO SOBRE SEGURANÇA DO PACIENTE ENTRE PROFISSIONAIS DE ENFERMAGEM DE UMA UNIDADE DE TERAPIA INTENSIVA
Authors: Santos Alisson Junior dos , Guimarães Isadora Bin , Machado Isadora Oliveira , Martins Gleida Maria , Oliveira Luciana Aparecida Gonzaga , Januário Gabriela da Cunha , Nunes Fernanda Daniela Dornelas
Published: September 2023

A segurança do paciente no ambiente hospitalar vem sendo abordada com relevância e significativa atenção em âmbito mundial nos últimos anos. A qualidade de assistência hospitalar prestada ao paciente e as práticas relacionadas à segurança no cuidado prestado, desencadearam discussões acerca do assunto. Neste sentido, a assistência de enfermagem realizada na unidade de terapia intensiva é considerada de alta complexidade, com isso, as chances de ocorrência de eventos adversos são ainda maiores, colocando em risco a segurança e a vida do paciente. Trata-se de um estudo descritivo, transversal e abordagem quantitativa, realizado no período de novembro a dezembro de 2022, com o objetivo de avaliar o conhecimento dos profissionais de enfermagem que atuam em uma unidade de terapia intensiva adulto de um hospital filantrópico do interior de Minas Gerais acerca da segurança do paciente, com aplicação de um questionário elaborado previamente pelos pesquisadores com questões norteadoras sobre a temática de segurança do paciente. Dos participantes do estudo, 78,3% foram mulheres, 60,9% técnicos de enfermagem, média de idade de 32,1 anos, prevalência pelo tempo de formação profissional entre 01 a 05 anos (30,4%) e tempo de atuação na unidade de terapia intensiva entre 01 a 05 anos (30,4%). Referente aos itens avaliados, nenhum atingiu o nível de conhecimento satisfatório (acima de 90%), sendo que os aspectos com menor acerto pela equipe de enfermagem foram referentes à segurança do paciente na higienização das mãos (55,8%), prevenção de queda (44,2%), cirurgia segura (48,5%) e administração de medicamentos (59,4%). A média geral de assertividade do questionário aplicado foi de 58,1%. Os resultados mostraram fragilidades no conhecimento da equipe de enfermagem estudada acerca da segurança do paciente, o que aponta para a necessidade de desenvolver e trabalhar aspectos conceituais com maior aprofundamento, a fim de aumentar a acurácia desses profissionais para a identificação e monitoramento eficazes dos incidentes advindos do cuidado prestado junto aos pacientes críticos.
THE METHOD OF FUZZY EVALUATION OF THE DATA STRUCTURE IN OCCUPATIONAL PATHOLOGY
Authors: Сафронов Р.И. , Родионова С.Н. , Лях А.В. , Аксенов В.В.
Published: September 2023

Анализ распространенных методов оценки информативности показывает, что для получения надежных оценок необходимо иметь выборки большого объема, что не всегда достижимо. Это объясняется тем, что в задачах прогнозирования, ранней диагностики, оценки степени тяжести и динамики развития патологии современная медицинская наука не знает четко установленных границ между здоровьем и предболезнью, между предболезнью и болезнью и др. Предложенный метод оценки уровня доверия к обучающим выборкам и пространству признаков, отличающийся учетом таких составляющих, как уровень репрезентативности, объем выборки, уровень доверия к выборке, информативность, уровень доверия к составу признаков и количество информативных признаков, которые агрегируются в нечеткие оценки уровней доверия к обучающим выборкам и пространству признаков, позволяет при синтезе соответствующих решающих правил учитывать роль обучающих выборок и информативных признаков в уровне доверия к получаемым математическим моделям, снижая риски от чрезмерного доверия к «машинным» заключениям. Предложенный метод нечеткой оценки степени информативности производственных факторов риска позволяет повысить качество производимых оценок в условиях неполного и нечеткого описания исследуемой структуры данных

An analysis of common methods for assessing informativeness shows that in order to obtain reliable estimates, it is necessary to have large samples, which is not always achievable. This is due to the fact that in the tasks of forecasting, early diagnosis, assessment of the severity and dynamics of pathology, modern medical science does not know clearly defined boundaries between health and pre-disease, between pre-disease and disease, etc. The proposed method for assessing the level of confidence in training samples and the feature space, which differs by taking into account such components as the level of representativeness, sample size, the level of confidence in the sample informativeness, the level of confidence in the composition of features and the number of informative features that are aggregated into fuzzy estimates of the levels of confidence in training samples and the feature space, allows for the synthesis of appropriate decision rules to take into account the role of training samples and informative features in the level of confidence in the resulting mathematical models, reducing the risks of excessive trust in "machine" conclusions. The proposed method of fuzzy assessment of the degree of informativeness of production risk factors makes it possible to improve the quality of estimates made in conditions of incomplete and fuzzy description of the data structure under study
DEVELOPMENT OF AUTOMATED FORECASTING SYSTEM DEVELOPMENT OF PATHOLOGIES IN COMORBID PATIENTS AFTER SUFFERED COVID-INFECTION
Authors: Копалиани А.Р. , Коровин Е.Н. , Новикова Е.И. , Пантелеев И.Н.
Published: September 2023

Коморбидность является важной проблемой современной медицины, изучение которой представляет приоритетную задачу здравоохранения. Согласно литературным данным, по распространенности коморбидность в некоторых странах охватывает треть населения, при этом отмечена тенденция к росту числа таких пациентов во всех возрастных группах. В контексте пандемии COVID-19 наличие сопутствующей патологии у пациентов является значимым фактором риска, влияющим на течение и прогноз новой коронавирусной инфекции. Чтобы правильно назначить лечение такому пациенту врачу необходимо проанализировать достаточно большой объем информации. Помочь врачам и освободить их время могут разрабатываемые программные модули, которые на основе введенных специалистом данных, ставят диагноз. В статье рассматривается создание и работа такого программного продукта для повышения лечебно-профилактических мероприятий у коморбидных пациентов после перенесенной COVID-19-инфекции, указаны входные и выходные данные системы, приведены архитектуры нейросети, составлена блок-схема работы программы, с помощью Delphiразработан ее интерфейс. Вместе с тем проанализирован рынок предложений и составлена таблица сравнения разработанной программы с тремя существующими аналогами. Основной целью создания программного продукта является ускорение процесса прогнозирования развития различных патологий для коморбидного пациента, перенесшего COVID-инфекцию

Comorbidity is an important problem of modern medicine, the study of which is a priority task of public health. According to literature data, the prevalence of morbidity in some countries covers a third of the population, while there is a tendency to increase the number of such patients in all age groups. In the context of the COVID-19 pandemic, the presence of concomitant pathology in patients is a significant risk factor affecting the course and prognosis of a new coronavirus infection. In order to properly prescribe treatment to such a patient, the doctor needs to analyze a sufficiently large amount of information. To help doctors and free up their time can be developed software modules that, based on the data entered by a specialist, make a diagnosis. The article discusses the creation and operation of such a software product to enhance therapeutic and preventive measures in comorbid patients after COVID-19 infection, the input and output data of the system are indicated, neural network architectures are given, a flowchart of the program is compiled, its interface is developed using Delphi. At the same time, the market of offers has been analyzed and a comparison table of the developed program with three existing analogues has been compiled. The main purpose of creating a software product is to accelerate the process of diagnosis for a comorbid patient who has suffered COVID-19 infection
Blend or not to blend? What faculty member think about blended learning?
Authors: Sengel Erhan , Aktaş Niyazi
Published: September 2023

In this study, it is aimed to reveal the opinions of the academics who have experienced the blended method in the course of blended courses. The study was carried out using a parallel mixed design. Research data were collected from academics who were determined by convenient sampling method. The research was conducted with 52 academics who stated that they had experienced the blended method. Data obtained from Likert type questions were analyzed by using frequency, percentage and average from descriptive statistical techniques and data obtained from open-ended questions were analyzed by content analysis. It transpired that blended learning is mostly preferred in the courses where information technologies are used. Considering that modern ICT is used extensively in blended learning, this is an expected result. Although the participants were generally satisfied with using blended learning, it was understood that they were concerned about the students not attending lessons, a low level of interaction and experiencing various communication problems, and difficulties presented by practical or applied lessons. Despite these concerns, it was found that respondents were generallysatisfied with the quality of the lessons taught with blended learning. Another important finding obtained from the research data is the recommendation of participating academics to prepare instructors who will teach using blended education to plan and organize pre-course processes well. It is thought that future studies will primarily focus on research that will dampen the down-sides identified by our research participants, and will support efforts to develop and disseminate blended learning.
Wood Decay Resistance Employing Nanoparticle Protective Systems
Authors:   Laboratorio de Biomateriales, Bioremediación y Biodeterioro, Universidad Tecnologica Nacional, Facultad Regional La Plata,  Calle 60 y 124, Berisso, Argentina, Alfieri Paula Vanesa , Canosa Guadalupe ,   Laboratorio de Biomateriales, Bioremediación y Biodeterioro, Universidad Tecnologica Nacional, Facultad Regional La Plata,  Calle 60 y 124, Berisso, Argentina
Published: September 2023

In this paper, nanoparticle dispersions (nanosilver, copper nano oxide, nanozinc, and nanosilica) have been formulated to be used as protective impregnants. Since all the components of the formulations could be charged according to the pH of the medium, the solutions were formulated with the two profiles of pH=3 and pH=8 (pH changes were handled with the addition of HCl or NH4OH at the time of application), and the interaction capacity has been analyzed. The nanoparticle dispersion medium was alcohol, and the concentrations ranged from 1 to 3% m/v. Impregnations have been performed by immersion. All formulated systems generated good protection against biotic agents due to chemical and structural modifications of the cell wall. It has been observed that the best performances were given with the presence of nanoparticles, which allowed inferring that the composite formed by nano-wood is bioactive. An issue that is also important is that the systems are easy to apply and very low concentrations are required, which translates into low costs.
Genetic parameters and association analysis for grain yield and yield attributing traits in rice (Oryza sativa L.) germplasm lines
Authors: Mohan Yeshala Chandra , Krishna Kasanaboina , Krishna Lavuri , Singh Thakur Veerendar Jeet , Jagadeeshwar R.
Published: September 2023

The intensity of trait association and genetic variability of yield attributing variables in 217 rice genotypes was investigated during kharif 2018. The existence of genetic variability among the genotypes was demonstrated by analysis of variance, which recorded significant differences for all the seven studied parameters.  The estimation of variability indicated that  The full grain number per panicle (37.2 % and 34.1 %) & single plant yield (24.7 % and 20.55 %) had the highest intensity of phenotypic coefficients of variation (PCV) and genotypic coefficients of variation ( GCV), and  High heritability along with high genetic advance as a per cent of mean (GAM) was  found in Plant height (98.9 % and 20.8 %), panicle number per plant (95.4 % and 36 %), panicle length(96.8 % and 35.9 %), full grain number per panicle(99.5 % and 61.6 %), thousand seed weight (98.1 % and 40.25 %) and single plant yield (69.2 % and 35.2 %) , depicting additive gene action in inheritance of these parameters. A simple selection procedure can help to enhance these characteristics even further. Correlation and regression coefficient findings indicated that plant height (0.193**) and the full grain number per panicle (0.177**) had a significant impact on single plant yield. The full grain number per panicle (0.265**), followed by thousand seed weight (0.194**) and plant height (0.110**), had the maximum direct positive effect on single plant yield, as per path coefficient analysis. As a result, accessions with a higher full grain number per panicle, thousand seed weight and plant height would be suitable for yield enhancement programme.
Trait association studies in diverse genotypes of rice for their utilization in biofortification
Authors: Vanlalrinngama Caleb , Jha Banshidhar , Singh S. K. , Tigga A. , Kumar Bishawajit , Kumari Namata , Singh M. K.
Published: September 2023

Rice is the staple food crop for more than half of the world population. Thus, rice varieties enriched with various micronutrients qualifies as a better alternative to combat micronutrient deficiency. The present investigation was undertaken to study the degree and direction of association for grain characters especially grain Zinc (Zn) content and grain Iron (Fe) content in 30 genotypes of rice. The correlation coefficient analysis findings at the phenotypic level were used to determine whether the various traits were correlated with yield and the significance of the relationship among them. This data shows significant positive correlation at the phenotypic and genotypic level for grain yield per plant with days to 50% flowering (0.356 & 0.373), number of panicles per plant (0.340 & 0.522), panicle length (0.293 & 0.356), test weight (0.307 & 0.346) and kernel breadth (0.283 & 0.339). The signs (positive or negative) reflect the consequence of increasing or decreasing one variable over the other. The traits plant height ((-0.399 & -0.410) and kernel L/B ratio (-0.237 & -0.291) showed negative correlation  with yield indicating that shorter plants as well as grains having shorter length with more breadth are more likely to produce more yield thus selection should be carried out against height . One possible reason for this could be that in plants with shorter stature have higher nutrient use efficiency and are resistant to lodging. The traits days to 50% flowering, number of panicles per plant, panicle length, and test weight and kernel breadth showed positive correlation indicating that selection towards higher values for these traits would consequently improve the yield. It was also found that the traits Zn and Fe content were positively correlated with each other implying that simultaneous selection of these traits could be done for the purpose of biofortification.
Principal component analysis among vegetable soybean genotypes (Glycine max L. Merrill)
Authors: Dunna Devi Sri , Heisnam Nanita Devi , Thokchom Renuka Devi , Sinha Bireswar , Singh Okendro
Published: September 2023

In the present study, 33 soybean genotypes were selected to study the association between the fourteen quantitative characters under study and to assess the magnitude of divergence between 33 genotypes for 14 traits during Kharif, 2021. For all measured traits, the results revealed significant variation among tested entries. The principal component analysis (PCA) was conducted for the 1quantitative characters and only 7 showed > 1 Eigen value and showed about 81.748% of total variation and remaining 7 components having a eigen value less than 1.00 and contributed only 18.252% of total Variation. Among the traits studied PC1 showed 20.7235 while, PC2 to PC 14 exhibited 15.205%, 12.69%, 9.476%, 9.142%,7.271%, 7.241%, 6.171%, 4.089%, 2.865%, 2.185%, 1.506%, 0.897% and 0.536% variability, respectively. Scree plots explained the percentage of variance. A high PC score for a specific genotype shows high value for those variables like EC 915989, EC 915900, EC 915993, EC 915975, EC 915903, EC 915898 and EC 915959 in PC1 and this indicated that these genotypes have high values for traits such as 100 Fresh pod weight and 100 Fresh seed weight.
Traditional uses of ethno-medicinal plants for the treatment of skin ailments in district Pithoragarh, Uttarakhand, India
Authors: Renu  , Bharti  , Kumar Deepak , Arya Pankaj
Published: September 2023

This study was conducted among the local people of Pithoragarh district (Uttarakhand) to document the ethnomedicinal plants used as remedies for various skin diseases. A total of 52 plant species from 36 families were listed for curing skin ailments such as allergies, infections, pigmentation, acne, pimples, burns, wounds, etc. It is noted that most of the plant formulations were applied externally in the form of paste. However, phytochemical analysis and pharmacognostic research on these recorded plants should be conducted to determine their therapeutic potential as a first step toward the development of effective drugs. This valuable knowledge about indigenous uses of the reported plant species must be conserved for sustainable use and future generations.
Management of pod fly, Melanagromyza obtusa (Malloch) through newer insecticides
Authors: Sravanthi Marri , Limma Sangita , Praveen Kumar Kollu
Published: September 2023

A field experiment was carried out at research farm of T.C.A., Dholi (Muzaffarpur) during Kharif season 2019-2020 to manage the pod fly Melanagromyza obtusa (Malloch) through newer insecticides. All eight novel insecticides were substantially potential over control in lowering the damage caused by pod fly and also recorded increased yields. Minimal pod and grain damage was recorded in chlorantraniliprole 18.5 SC (11.63 % and 8.42 % respectively) followed by flubendiamide 480 SC (14.66% and 15.37%). The highest yield (1945 kg/ha) was recorded in chlorantraniliprole 18.5 SC as against 682 kg/ha in untreated control with a Cost Benefit Ratio (CBR) of 1:41.8.
Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes
Authors: Rahangdale Shivangi , Lakhani J P , Singh S K , Barela Akash , Kumar Pratik , Prajapati S S
Published: September 2023

Forty mungbean genotypes were evaluated for fourteen quantitative traits, planted in Randomized Complete Block Design with three replications. Mahalanobis' generalised distance D2 was used to assess the character data and Principal Component Analysis for estimating genetic diversity and identification of superior mungbean genotypes. Following Tocher's technique, the 40 genotypes were divided into 7 clusters in accordance with their genetic distance. Among them four clusters were polygenotypic and three were monogenotypic. The genotypes of cluster IV and VII showed highest (40.51) inter cluster distance followed by cluster III and VII (39.04). Cluster V has been discovered to have the largest intra-cluster distance. In order to increase the genetic diversity of Vigna radiata, genotypes from these clusters may be crossed. Based on Principal Component Analysis results, 5 PCs explained 75.87% of the variation among the 14 parameters and had eigen values greater than unit. Only six genotypes—TJM-37, TJM-134, TJM-140, TJM-235, Shikha, and PM-1632—contained with favourable yield and quality associated PCs, and had outstanding remark for yield traits—out of all genotypes contributing their existence in more than one PC with high PC score. These lines may be used in hybridization programmes to transmit desirable features, such as high yield and high quality, to recipient mungbean genotypes, resulting in the creation of promising cultivars.
Role of eco-friendly dental clinic option in water saving
Authors: Soliman Hossam Mohamed Hassan
Published: September 2023

Water shortage is considered as a major problem worldwide. Moreover, the adverse effects of climate change would make the issue worse. Most classical dental facilities had inappropriate water consumption practices. Green dentistry is an innovative approach to a dental procedure that is environmentally sustainable while also saving money and time by minimizing waste, conserving water and energy, and lowering pollution through the use of cutting-edge techniques and procedures. However, scarcity of studies about this topic represented the main challenge to our study which was overcome by carrying out precise data collection. Our main objective was to clarify the role of eco-friendly dental technology in water saving. Environmental case study approach was used to answer research question and formulate a hypothesis. Data was collected from several evidence based sources. The study results showed that there was a significant reduction in water consumption after the implementation of Eco dental options. The current findings shed light on the significant role of green dentistry on water saving and serves as a base of future research.
Preparation and evaluation of fresh pineapple, passion fruit and ginger blended ready-to-serve drink
Authors: Angami Thejangulie , Assumi S.R. , Kalita H. , Saloi Bharati , Singh K. Suraj , Touthang Letngam , Makdoh Badapmain , Tasung Ampee
Published: September 2023

Preliminary work was executed at the processing laboratory of ICAR (Research complex) for NEH Region, Arunachal Pradesh Centre, Basar, to prepare and assess the physico-chemical properties of fresh juice blends. The experiment comprised of nine treatments consisting of fresh pineapple, passion fruit and ginger juice blends in different ratios following CRD with three replications. It was found that the treatment (T5) passion fruit-ginger juice at the ratio of 90:10 blended RTS beverage exhibited the highest pH (4.33), ascorbic acid (18.73 mg per 100 ml) and beta carotene (245.33 µg per 100 ml). The TSS and acidity percent were non-significant as all the sample treatments were maintained almost uniform at 15 ºBrix and 0.30 percent. Further, it also revealed that both the sugar i.e. reducing and total sugar of the fresh mixed RTS drink was recorded maximum in (T2) pineapple-passion fruit juice ratio of 70:30. Organoleptic traits of freshly mixed ready to serve drinks after evaluated by a member of juries based on 9 Points Hedonic Scale vividly indicated that treatment (T1) pineapple-passion fruit RTS at 50:50 ratio recorded the most favoured taste, colour, flavour ultimately attributing to the highest overall acceptability.
Influence of heat treatment on the properties of tin oxide nanoparticles: A potential material for environmental remediation applications
Authors: Kaur Manmeet , Prasher Dixit , Sharma Ranjana
Published: September 2023

Metal oxides have gained a growing interest in the field of material science owing to their size and shape dependent physiochemical properties. Tin oxide (SnO2) is considered as a multifaceted material with its widespread applications such as oxidation catalysis, energy harvesting, bio-imaging, gas sensing, storage devices and many more. This study reports the synthesis of SnO2 nanoparticles derived via sol-gel route.  To observe the effect of thermal treatment on the grown material, the samples were subjected to calcination at different temperature ranging from 350 °C to 550 °Cfor about 4 hrs. The structural, compositional, morphological and optical properties of Tin oxide were studied by XRD, EDAX, FESEM, and UV-Vis spectroscopic analysis respectively. The XRD pattern consists only SnO2 peaks with preferred orientation along (110) plane. The crystallite size increases with higher calcination temperature and is found in the range of 3-15 nm. All the peaks corresponding to SnO2 matches with the standard data indicating the growth of good quality single phase material. Compositional data reveals that that grown material manifested in required stoichiometric ratio of SnO. Scanning electron micrographs show uniform growth of SnO2 nanoparticles with particle size ranging from 10-20 nm. The energy band gap of the SnO2 calculated by optical studies was 3.1eV and 3.0 eV for 450 °Cand 550 °Crespectively. The calculated band gap lies in the visible region of the solar spectrum which could be beneficial for the enhanced photocatalytic performance of the SnO2 nanoparticles.
Preliminary checklist of butterfly diversity from the Himachal Pradesh Agricultural University, Palampur, India
Authors: Kumar Praveen , Parmar Bharti , Kumar Pardeep
Published: September 2023

Butterflies are the bio-indicator species for monitoring the health of the ecosystem. A preliminary checklist of the butterfly diversity was prepared by a long-term survey from 2019 to 2022 in varied habitats in the agriculture landscape of the Himachal Pradesh Agriculture University (HPAU), India. The study recorded 77 butterfly species belonging to six families Nymphalidae, Pieridae, Lycaenidae, Hesperiidae, Papilionidae and Riodinidae. In addition, there are some rare records of butterfly species such as Common Wall (Lasiommata schakra), Dark Blue Tiger (Tirumala septentrionis), Ringed Argus (Callerebia annada) and Pioneer (Belenois aurota). Some butterflies are habitat specific and few also show local migration from high-elevation areas of the surrounding Dhauladhar ranges. The preliminary checklist prepared from the present study was also compared with Central University of Himachal Pradesh (CUHP) located in the similar landscape of the study area. This will help to understand the long-term effect of habitat degradation from human-modified environment and agricultural activities to facilitate effective conservation strategies to protect Himalayan ecosystem.
The impact of gate length, oxide dielectric materials, and oxide thickness on the GaNNT MOSFETs performance.
Authors: Abdul-Hussein W. A
Published: September 2023

The expansion of the integrated circuit industry in recent years has been primarily propelled by the progressive growth of metal-oxide-semiconductor field effect transistors (MOSFETs). The device is employed as a rapid switch in computers advanced. The switching speed of MOSFETs is significantly influenced by the selection of gate length, oxide dielectric materials, and oxide thickness. Gallium nitride nanotubes (GaNNT) with remarkable stability in ambient conditions, making them a promising candidate for use as channel material in the forthcoming era of MOSFET technology. This study utilizes ab initio simulation to examine the device functionality of double-gate (DG) GaNNT MOSFETs sub-  under the impact of gate length, oxide dielectric material, and oxide thickness. The findings suggest that enhancing the gate length and dielectric constant, as well as reducing the oxide thickness, can lead to significant improvements in the ratio of , subthreshold swing (SS), transconductance ( ), power dissipation (PDP), and delay time ( ). The enhancement is notably conspicuous when considering a channel length that is  for devices of n-type. Hence, GaNNT demonstrates significant potential as a channel material in the advancement of complementary MOSFETs that are compatible with both n-type and p-type devices.
An adaptive method to solve multilevel multiobjective linear programming problems
Authors: Kaci Mustapha , Radjef Sonia
Published: September 2023

This paper is a follow-up to a previous work where we defined and generated the set of all possible compromises of multilevel multiobjective linear programming problems (ML-MOLPP). We introduce a new algorithm to solve ML-MOLPP in which the adaptive method of linear programming is nested. First, we start by generating the set of all possible compromises (set of all non-dominated solutions). After that, an algorithm based on the adaptive method of linear programming is developed to select the best compromise among all the possible settlements achieved. This method will allow us to transform the initial multilevel problem into an ML-MOLPP with bonded variables. Then, apply the adaptive method which is the most efficient to solve all the multiobjective linear programming problems involved in the resolution process instead of the simplex method. Finally, all the construction stages are carefully checked and illustrated with a numerical example.
Internet digital content pricing and subscribers control
Authors: Mejjouali Sobhi , Tadj Lotfi
Published: September 2023

We use optimal control theory to determine the optimal rate of change in the subscription fee and the optimal ratio of ad space to the total web page space for a web content provider. An optimal solution is obtained using the maximum principle approach and the model predictive control approach. Numerical experiments show that it is preferable to use the first approach when the planning horizon is short and the second approach when the planning horizon is long
Teaching assistant selection in Thailand by using an extended VIKOR based on piecewise linear approximation of fuzzy numbers
Authors: Narabin Akan , Samutrak Phairoj
Published: September 2023

Because of the COVID-19 situation, selection for a teaching assistant position to get a TA scholarship in a university in Thailand needs to be performed online by the formed committee. Due to the online process and the limited number of scholarships offered by the university, beyond the face-to-face interview, multiple-criteria decision analysis can help to select a proper student. In this study, we use the extended VIKOR method with fuzzy numbers to help committees to select the students from the applicants. The criteria and the weights of the criteria are provided with the help of committees. Both trapezoidal and triangular linguistic variables are used to find the solution and to observe the range of the possible result. The different weights supporting the strategy of maximum group utility are varied to detect the potential alternatives. The ranking results are also compared with the one obtained from the TODIM approach to illustrate the appropriate alternative.
Bounding Generalized Coloring Numbers of Planar Graphs Using Coin Models
Authors: Nederlof Jesper , Pilipczuk Michał , Węgrzycki Karol
Published: September 2023

We study Koebe orderings of planar graphs: vertex orderings obtained by modelling the graph as the intersection graph of pairwise internally-disjoint discs in the plane, and ordering the vertices by non-increasing radii of the associated discs. We prove that for every $d\in \mathbb{N}$, any such ordering has $d$-admissibility bounded by $O(d/\ln d)$ and weak $d$-coloring number bounded by $O(d^4 \ln d)$. This in particular shows that the $d$-admissibility of planar graphs is bounded by $O(d/\ln d)$, which asymptotically matches a known lower bound due to Dvořák and Siebertz.
Application of the UTAUT (Unified Theory of Acceptance and Use of Technology) Model to Analyze the Acceptance Level of Using Zi.care at RSIJ (Jakarta Islamic Hospital) Cempaka Putih, Indonesia
Authors: Br Surbakti Brigita Natalia , Daniel Happy Putra  , Puteri Fannya  , Dina Sonia
Published: September 2023

Jakarta Islamic Hospital Cempaka Putih is a teaching hospital. Based on the results of observations, it was found that there were problems in implementing Zi.care at this hospital, where the system had been used but was temporarily stopped. Zi.care is a SIMRS and also an RME at RSIJ Cempaka Putih. The aim of using Zi.care is to make services effective and efficient, administration more informative and integrated, information that is real-time, integrated with BPJS, making online registration and telecommunications easier via Mobile App, and patients can manage their own medical records via Mobile App.  This study aimed to evaluate Zi.care using the UTAUT method at RSIJ Cempaka Putih. This research uses a cross-sectional design with a quantitative approach to an analytical observational study to determine the relationship between causal factors and effect factors in the application of Zi.care. Sampling technique with proportionate stratified random sampling, namely sampling based on the number of divisions from each sub-population consisting of medical staff, doctors, pharmacists, laboratory assistants, radiologists, and nurses. The sample was 150 respondents who used Zi.care. The results of the normality test show that the data is abnormal because the p-value < 0.05, so the cut point taken is the median. Hypothesis testing is carried out using statistical calculations Chi-square with the help of software SPSS 24.0. The research results show that performance expectations, effort expectations, and social influence have a relationship with usage intention while facilitating conditions have no relationship with usage behavior.
Designing a Cloud-Based MES-SaaS Platform Model in Precision Machining
Authors: Do Yeji , Jeong Jongpil
Published: September 2023

Smart manufacturing environments are spreading at home and abroad. As a result, SMEs are also recognizing the need for digital transformation. However, they are facing difficulties in introducing MES/ERP software due to the initial cost burden and lack of resources. Under these circumstances, this paper aims to design a cloud-based subscription MES platform that enables SMEs specializing in the precision machining industry to operate efficient production processes and improve productivity and competitiveness. To build a cloud-based subscription MES system, we collect and store manufacturing interlocking data based on the AAS standard and utilize data link sockets such as the EDC standard, which is an important factor in securing compatibility and integration between various systems. Therefore, we aim to design an MES-SaaS platform that enables SMEs to utilize MES and ERP software in line with the growth of the smart manufacturing environment.