bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dosis dan Waktu Pemberian Pupuk KCl terhadap Pertumbuhan dan Hasil Jagung Manis
Authors: Ariyanto Shodiq Eko , Suharijanto Suharijanto , Anwar Khairul , Sanubari Asung Damar 
Published: December 2024

This study aimed to determine the optimal dose and time of KCl fertilizer application that can increase the growth and yield of sweet corn (<em>Zea mays </em>var.<em> saccharata</em>). The study was conducted on land owned by the Secondary Crop Seedling Development Plantation Rendole I Pati from July to October 2022. The method used, was a factorial experiment with a completely randomized block design consisting of two factors, each having three replications. The first factor is the dose of KCl fertilizer (d), which consists of four levels). The first factor is the dose of KCl fertilizer (d) consisting of four levels, namely 0, 50, 100, and 150 kg ha<sup>-1</sup>. The second factor is the time of KCl fertilizer application (p), namely: administration at 15 and 30 days after planting (p1) and administration at 15 and 45 days after planting (p2). The results showed that the dose of KCl fertilizer affected various parameters of growth and yield of sweet corn plants, between fresh cob cloth with and without husks, fresh weight of cobs, cob length, cob diameter, number of seeds per row, and sugar content. The dose of 100 kg ha<sup>-1</sup> showed better results, especially in increasing the fresh weight of cobs with husks and the weight of cobs. Meanwhile, the time of KCl fertilizer application only affected the height of sweet corn plants at the age of 5 days after planting. There was no significant interaction between the dose<strong> </strong>of KCl fertilizer and the time of KCl fertilizer application. Therefore, to increase the yield of sweet corn, it is recommended to use a dose of KCl fertilizer of 100 kg ha<sup>-1</sup> and apply it at the ages of 15 and 30<strong> </strong>days after planting.
Application of neural networks for predicting electric load
Authors: Kalinchyk Vasyl , Pobigaylo Vitalii , Kalinchyk Vitalii , Borychenko Olena , Meita Aleksandr 
Published: December 2024

The paper shows that the operational management of the power consumption regime is reduced to solving the problem of operational forecasting of the enterprise's load. The paper analyzes the works devoted to the forecasting of electric loads of power systems and industrial enterprises. It is shown that in order to achieve the required forecast accuracy, it is advisable to use adaptive forecasting procedures and, in particular, to use artificial neural networks. The use of artificial neural networks for forecasting the load of industrial enterprises is due to their properties, such as the ability to learn, reliability with incomplete input information, and the rapid response of the learned network to input influences. The conditions for determining the configuration of a neural network are considered. The structure of a neural network for predicting the electrical load of an industrial enterprise is presented. The process of training an artificial neural network with fitting the model to data from a retrospective sample is presented. The considered models of daily load forecasting were investigated on retrospective data on the modes of electricity consumption of a chemical enterprise with normalization of input data. The graphs of the actual total load and the forecast obtained by the artificial neural network models are presented. The research has shown that the use of an artificial neural network allows for a qualitative forecast of the enterprise's load under normal operating conditions of the equipment.
Study of correlation between the parameters of dielectric absorption when diagnostics of insulation of three-core power cables by applying aggregate measurements
Authors: Kostjukov Ivan , Kubryk Borys , Lytvynenko Svitlana , Lavrinenko Olga , Syzov Yevhenii 
Published: December 2024

Three-core power cables with paper-impregnated insulation in a common metal sheath contain several layers of dielectric formed by phase and belt insulation between the cores and the sheath. When diagnosing the technical condition of the insulation of such cables according to the parameters of electrical capacity and tg δ, the problem of experimental determination of individual parameters for each of the insulation layers of the power cable arises. When evaluating the individual values of the dielectric absorption parameters of each of the insulating layers in three-wire power cables by applying aggregate measurements, the formation of a system of equations can be carried out in two different ways. In the first case, the unknown values of the capacitance and tg δ of each of the 6 insulating layers (of which 3 are formed by the insulation layers between the cores of the power cable and 3 dielectric layers between each of the cores and the sheath) are directly determined by solving a system of 6 linear algebraic equations. In the second case, the individual parameters of the dielectric are determined by minimizing the root-mean-square error of solving the redefined system of equations using the method of least squares. According to the results of the calculations, it is shown that when evaluating the uncertainties of dielectric absorption parameters using aggregate measurements, the correlations between the aggregate values can be disregarded.
Developing and Validating a Machine Learning-Based Model for Predicting In-Hospital Mortality Among ICU-Admitted Heart Failure Patients: A Study Utilizing the MIMIC-III Database
Authors: Su De , Zheng Jie , Liu Junya , Liu Xinxin , Yu Kun , Mei Hong , Liao Zhenliang , Feng Banghai , Qin Song 
Published: December 2024

Abstract

Background: Although the assessment of in-hospital mortality risk among heart failure patients in the intensive care unit (ICU) is crucial for clinical decision-making, there is currently a lack of comprehensive models accurately predicting their prognosis. Machine learning techniques offer a powerful means to identify potential risk factors and predict outcomes within multivariable clinical data.
Methods: This study, based on the MIMIC-III database, extracted demographic characteristics, vital signs, laboratory test values, and comorbidity information of heart failure patients using structured query language. LASSO regression was employed for feature selection, and various machine learning algorithms were utilized to train models, including logistic regression (LR), random forest (RF), gradient boosting (GB), among others. An ensemble learning model based on soft voting mechanism was constructed. Model performance was evaluated using accuracy, recall, precision, F1 score, and AUC values through cross-validation and on an independent test set.
Results: In 5-fold cross-validation, the soft voting ensemble learning model demonstrated the best overall performance, with accuracy and AUC values both at 0.86. Additionally, RF and GB models also performed well, with RF achieving an accuracy of 0.79 and an AUC of 0.79 on the independent test set, while GB model achieved an accuracy of 0.77 and an AUC of 0.79. In contrast, other models such as LR, SVM, and KNN exhibited poorer performance in terms of accuracy and AUC values, indicating the significant advantage of ensemble methods in handling complex clinical prediction tasks.
Conclusion: This study demonstrates the potential of machine learning models, particularly ensemble learning models based on soft voting mechanism, in predicting in-hospital mortality risk among heart failure patients in the ICU. The overall performance of the ensemble learning model confirms its effectiveness as an adjunct clinical decision-making tool. Future research should further optimize the models and validate them in a broader patient population to enhance their practical utility and accuracy in real clinical settings.
Relationship between hydrological indices and physiography factors
Authors: Askari Kaveh Ostad Ali 
Published: December 2024

Abstract

This study is aimed to reach suitable regionalized models in which hydrological indices are deemed as dependent variables and physiographic features of various stations are independent variables. These variables are taken as inputs of multiple regression models. Results have shown that area is the factor affecting amplitude. Duration: area is the factor affecting D1, D4, D5, D6 and D11. Length of water stream is the factor affecting D2, D3, D4, D5, D6, and D11. Pure slope is the factor affecting D10 while Gravelius coefficient affects D11. Variability: Gravelius coefficient is the factor affecting V1, V5 and V6. Timing: area is the factor affecting T. Physiographic features and climate of different regions vary from one region to another. Form of the equations is not the same for all the selected regions. Therefore, it is likely that one variable very effective in one region does not enter the equation in another region. It may lead to necessity of further research on each region. Area which is almost the main factor affecting river flows in all researches conducted in Iran and other parts of the world, is of the highest role in Iranian studies. Drought is one of the most important natural events which are strongly interwoven with climate changes. Reversible events in arid or semi-arid resulted from deficient rainfall during a specific period of time may affect a vast part of lands. Determination of factors affecting hydrological droughts and study on the relationship among variables can be deemed as the most useful alternatives to deal with damages of droughts. The current study is aimed at introducing the most significant hydrological indices in order to analyze downstream of the under-study region and its relationship to 10 physiography factors. It is concluded that area used in the majority of researches conducted in Iran or other parts of the world is deemed as a significantly affective factor at least for river flows.
Development of a narcissistic personality level scale for athletes
Authors: Büyükbasmacı Yunus Emre 
Published: December 2024

Abstract

Background
Narcissism refers to the admiration and devotion one feels toward one’s own physical and/or mental self. In other words, it is a term for self-love. A narcissistic personality, on the other hand, occurs when a person experiences a high degree of narcissistic feelings. The purpose of this study was to develop a measurement tool that measures the level of narcissistic personality in athletes.
Methods
This research is a scale development study prepared using the survey technique, one of the quantitative research methods. The universe of this research consisted of amateur athletes in the Beykoz district of Istanbul. The samples were determined by a nonprobability sample selection method, the "Purposive and Theoretical Sample Selection Technique" applied to the Beykoz 1908 A.Ş., Kavacıkspor and Beykoz İdman Yurdu, and included some athletes from these different teams. After the data were obtained, confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) were performed to determine the construct validity, and Cronbach's alpha analyses were performed to determine the internal consistency.
Result
The Cronbach’s alpha reliability values were 0.866 for the physical subdimension, 0.622 for the cognitive subdimension, 0.933 for the behavioral subdimension, and 0.714 for the overall scale.
Conclusions
Through the study, a scale for determining the level of narcissistic personality in athletes, consisting of 3 subdimensions and 22 items, was developed to determine the athletes' narcissistic personality levels.
Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia
Authors: Wang Yongli , Ziyan Zheng , Feng Jinming , Yan Zhongwei , Jia Xingcan , Vafakhah Mehdi 
Published: December 2024

ABSTRACT
Central Asia (CA) is one of the most arid regions with serious water shortages. To understand the impacts of climate change on the regional water storage in CA, we introduce the terrestrial water storage (TWS) as a comprehensive water resource indicator and evaluate its spatial -temporal variation by regional coupled simulation. In this study, the performance of the Weather Research Forecasting (WRF) model in TWS simulation is evaluated. To consider the uncertainties and study the sensitivity of TWS to model schemes, two microphysics, two planetary boundary layers, and three cumulus schemes are combined in the numerical experiments at 25 km horizontal resolution. The results show that the modeled TWS by WRF agrees well with the satellite-based TWS in high correlation and consistent trends. The simulated TWS has larger variability than that of the satellite-based TWS, but a weaker decreasing trend due to lack of human activities consideration. Overall, the modeled TWS is mainly influenced by the precipitation and soil moisture, and insensitive to the physical schemes on monthly scale in CA. This can serve as a basic tool for water resource assessment in CA by the stable model performance, especially after the consideration of human activities in the future.
COMPREENSÃO DOS ESTUDANTES SOBRE O CURSO A DISTÂNCIA DE TÉCNICO EM TECNOLOGIA DA INFORMAÇÃO
Authors: Do Nascimento Souza Jussier , Almeida Galvão Cauê 
Published: December 2024

O presente artigo apresenta a partir de pesquisa quantitativa a compreensão dos estudantes sobre o Curso Técnico em Tecnologia da Informação oferecido pelo Instituto Metrópole Digital – IMD – Polo Caicó em relação a diversas dimensões da educação a distância, tais como encontros presenciais; mediação do professor; comunicação; satisfação com fóruns de discussão; navegação no moodle; motivação e aspectos gerais do curso. O estudo foi conduzido em etapas, começando com a elaboração do referencial teórico embasado nas proposições a respeito do histórico do surgimento e do acesso à educação à distância, seguido de pesquisa prática por meio de aplicação de um questionário estruturado com estudantes regulamente matriculados. A análise dos dados revelou uma compreensão positiva entre os estudantes em relação as dimensões analisadas. A satisfação geral com o curso é elevada, com uma forte tendência para recomendação, embora haja algumas preocupações sobre as oportunidades de desenvolvimento profissional. Esses resultados destacam pontos de sucesso e pontos com oportunidades de melhoria na experiência educacional que vem sendo ofertada pelo curso.
The effect of a polycyclic structure on a color that is calorically resistant to influences
Authors: Burykh G. V. , Kazakov A. A. 
Published: December 2024

The purpose of the work was to study the influence of polycyclic structure as an additive on thermodynamic parameters of dyeing systems. The dyeing process of cotton textile material using direct dye was investigated.Methods. Various methods were used in the experimental studies to achieve the objective. Physical methods were used to study the properties of dyeing solutions. The quality of fabric preparation was evaluated by capillarity value. IR and UV spectroscopy methods were used to study the solutions. Cross sections of the stained materials were studied using the microscopic method. The methods defined for this type of products were used to evaluate the quality of coloring resistance to physicochemical and physical-mechanical influences.Results. The process of dyeing of cotton textile materials with direct turquoise lightfast dye in dyeing solutions containing classical components of dyeing formulation and in solutions with 1,2,4-triazine additive is considered. Kinetic dependences of the content and sorption of direct turquoise lightfast dye by cotton textile material under the investigated conditions have been obtained. A comparative study of the resistance of the obtained color of cotton material to various types of chemical and mechanical influences was carried out.The results obtained during dyeing with a direct turquoise light-resistant dye in the presence of a triazine functional additive show that not only chemical intensification of the coloring process is observed, but also a change in the color stability to certain types of influences.Conclusion. It is revealed that the introduction of polycyclic structure in the form of 1,2,4-triazine additive into the dyeing composition has a positive effect on the process of sorption of direct turquoise lightfast dye by textile materials of cellulose nature and increases resistance to various kinds of physical-chemical and physical-mechanical influences.
V Конгресс Международного союза архитекторов в Москве (1958): советское градостроительство в интернациональном контексте
Authors: Конышева Евгения 
Published: December 2024

В статье освещается проведение V Конгресса Международного союза архитекторов в Москве в 1958 году. В тексте дан общий обзор работы конгресса, но основное внимание уделено представлению советского градостроительства в докладах, выставочных экспозициях и изданиях конгресса. В статье утверждается, что все представленные в докладах темы действительно являлись главным предметом обсуждения в профессиональном сообществе в середине 1950-х годов. С другой стороны, показано, как докладчики акцентировали «прогрессивный характер» советского градостроительства и сглаживали существовавшие противоречия между теорией и практикой. Сделан вывод о том, что конгресс не только послужил укреплению интернациональных контактов советской архитектуры, но и стал стимулом для перехода советского градостроительства от экспериментов к широкому практическому внедрению прогрессивных методов.
Exploring the Determinants of Financial Well-Being among Rural Households
Authors: Ibrahim Suhailah , Rahman Suzana Ab , Norman Hamidah , Kasim Noor Azlin Abu , Abdul Rashid Intan Maizura 
Published: December 2024

Household financial well-being plays an important role in the B40 community. This study aims to explore the determinants of financial well-being. The literature proves that the level of financial skills and access to financial knowledge significantly influence household financial well-being among the B40 community. In addition, the influence of external factors such as access to financial services, social support, or financial development programs also affects household financial management practices B40 community. This study emphasizes the elements of digital financial literacy, financial socialization, and savings and investment toward the financial well-being of rural households. This kind of concept paper can contribute to knowledge, especially in guiding students, academics, and policymakers, to learn about the concepts of rural financial well-being that exist.
Socio-Demographic and Economic factors associated with hypertension among Men in India
Authors: Sabhahit Ganapati , Biradar Rajeshwari A , Jung Bahadur Prasad , Hegde Sadashiva , Shetty Rachana R , Shetty Vishaka S , Mahagaonkar Rasika 
Published: December 2024

Background: The leading risk factor for cardiovascular disease, Hypertension, is becoming more prevalent worldwide and is especially prevalent in low- and middle-income nations (LMICs) like India.
Objective: This study aims to examine the change in the prevalence of Hypertension and to develop a statistical model for risk factors of Hypertension among Men in India.
Materials and Methods: This study used data from the National Family Health Survey (NFHS 4 and 5) samples of men aged 15-54 years whose blood pressure (BP) was measured during the survey.
Results: The study shows that the prevalence of Hypertension among men was 16.3% to 21.5% from NFHS-4 to 5 and we also found an increase in the prevalence of Hypertension and association across selected socio-demographic and economic variables for Hypertension. It was found in both NFHS 4 and 5 Hypertension were higher in the 45-54 age group compared to younger age group. Men who consume alcohol had higher odds (OR: 1.32, C.I: 1.27-1.37 and OR: 1.42, C.I: 1.37-1.48) of getting hypertension than those who do not consume alcohol and Education, Employment, marital status, and residence were showing significantly associated and higher odds with hypertension among Men. The accuracy of the logistic regression model has been calibrated to reach 71.1%, with sensitivity and specificity exceeding 70%. Users of the model have access to the modified probabilities.
Conclusion: The findings suggest the effect of socioeconomic and habit factors on hypertension which will help in improved interaction with medical services for the treatment of hypertension.
Intimate Cyber Connectivity within Matrimony: A Comparative Jurisprudential Analysis of Electronic Sexual Relations among Spouses
Authors: Mohammed Hossameldeen Khalil Farag , Jindiya Nur Ahmad 
Published: December 2024

The profound enjoyment between spouses stands as a paramount objective of marriage, receiving explicit attention and delineation within Sharia law. In the contemporary era marked by a significant information revolution, novel forms of enjoyment, previously unknown, have surfaced, notably the practice of "electronic sex" between spouses. This research delves into the exploration of this topic, elucidating its various forms, types, motivating factors, justifications for its practitioners, and the associated risks. An examination of legal evidence related to electronic sex is undertaken to ascertain its legal ruling, harmonizing with the principles and objectives of Sharia. Utilizing a descriptive, analytical, and deductive approach, the research contends that the practice of electronic sex between spouses is inherently forbidden due to inherent dangers and ethical deviations that run counter to the essential goals of Sharia. Permission for such practices is only granted in cases of necessity and under requisite controls. Failure to adhere to these controls necessitates consideration of alternative solutions proposed in this research.
Liposomal bupivacaine was not associated with increased postoperative complications in dogs receiving closed anal sacculectomy: a retrospective study
Authors: Untch Michelle M. , Frederick Steven W. , Keys Deborah , Waschak Michelle J. 
Published: December 2024

Abstract

OBJECTIVE
To compare the postoperative complication rates of anal sacculectomy procedures in dogs treated with or without liposomal bupivacaine (LB).

METHODS
Medical records of 397 client-owned dogs treated with closed anal sacculectomy between 2016 and 2023 were retrospectively identified and grouped on the basis of administration of LB (LB group) or not (non-LB group). Details of short-term (< 15 days) postoperative complications were recorded from physical examination and client communication notes as well as referral documents and compared between groups. Relative risks for complications were calculated. Univariable and multivariable logistic regressions were used to estimate ORs and test for the effects of LB use and other risk factors on complications.

RESULTS
267 dogs received LB and 173 did not. The overall short-term postoperative complication rate in the study was 24% (94 of 397; 95% CI, 20% to 28%), and the short-term postoperative complication rates for dogs in the LB and non-LB groups were 22% (95% CI, 17% to 27%) and 27% (95% CI, 20% to 35%), respectively. The relative risk for overall short-term postoperative complications was 0.80 (95% CI, 0.56 to 1.16), indicating that an association between LB and an increased risk of short-term postoperative complications was not found.

CONCLUSIONS
No significant association of LB with an increase in postoperative complications following anal sacculectomy in dogs was found. Although, LB’s efficacy in these cases was not evaluated.

CLINICAL RELEVANCE
Liposomal bupivacaine may be suitable as a local anesthetic following anal sacculectomy in dogs.