bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantum Fisher Information of Three-Level Atom Under the Combined Influence of the Non-Linear Kerr Medium and the Stark Effect
Authors: Anwar S. Jamal , Ibrahim M Ibrahim , Khan M Khalid
Published: December 2024

We explore the dynamics of Quantum Fisher Information (QFI) and Von Neumann Entropy (VNE) in three-level stationary and moving Stark-shifted atomic systems influenced by a Nonlinear Kerr Medium (NLKM). QFI, which measures coherence and sensitivity to parameter changes, decreases over time due to decoherence, with slower decay at higher nonlinearity values. VNE, an indicator of quantum entanglement, increases over time, with stronger growth observed at lower nonlinearity valueThe Stark effect, caused by an external electric field, introduces energy level shifts that result in oscillatory behavior in both QFI and VNE. Stronger electric fields amplify these oscillations, enhancing sensitivity and entanglement dynamics. The system's phase significantly impacts its behavior, with symmetric patterns emerging at zero phase and more complex dynamics occurring at other phase values. In moving systems, atomic motion interacts with NLKM and Stark effects to produce periodic modulations in QFI and VNE. Lower nonlinearity values lead to pronounced oscillations, reflecting stronger quantum interactions, while higher values stabilize coherence. Peaks in QFI often align with dips in VNE, indicating a trade-off between precision and entanglement. Transient spikes in VNE highlight moments of enhanced quantum entanglement, while high QFI values signify robust coherence, critical for precision measurements. This study demonstrates the tunability of quantum systems through external field strength, nonlinearity, and phase, providing a framework for optimizing quantum sensing and exploring the fundamental dynamics of coherence and entanglement in quantum systems.
Clinical-Surgical Aspects in Placental Abruption
Authors: Șerbănescu Lucian , Mirea Sebastian , Ionescu Paris
Published: December 2024

The retrospective study was carried out in the II Obstetrics-Gynecology Clinic of the "Sf Apostol Andrei" Constanta County Emergency Clinical Hospital on a group of 171 patients who presented with placental abruption and gave birth in the clinic. The patients were selected from the case file of our clinic among the patients who presented placental abruption. The study included only patients aged between 18 and 30 years, an interval considered by us to be the most suitable for reproduction. We took this approach to ensure that the age factor did not influence the study results. Patient observation sheets and operative protocol registers were used as working material. The patients were categorized based on age, gestational grade, parity, type of presentation, gender of the fetus, live births by Apgar score, and hematoma volume. Particular attention was given to the following factors: types of anesthesia, types of incisions, emergency hysterectomies. A total of 17 emergency hysterectomies were performed and 38 cases of fetal mortality were encountered. Male fetuses predominated at 55.5%. Placental abruption remains one of the biggest obstetric emergencies, both due to the large number of complications it associates with and due to their evolution that can often be unpredictable.
The Defect Structure Evolution in MgH₂-EEWNi Composite at Hydrogen Sorption-Desorption Processes
Authors: Kudiiarov Viktor Nikolaevich , Kenzhiyev Alan , Elman Roman Romanovich , Kurdyumov Nikita , Ushakov Ivan Alexeyevich , Tereshchenko Andrei Vasilyevich , Laptev Roman Sergeevich , Kruglyakov Mark Alexandrovich , Khomidzoda Parvizi Ibrohim
Published: December 2024

This paper presents the results of the study of the composite based on magnesium hydride with the addition of nanosized nickel powder, obtained by the method of electric explosion of wires. The obtained MgH₂-EEWNi (20 wt.%) composite with the core-shell configuration demonstrated a developed defect structure, which makes it possible to significantly reduce the hydrogen desorption temperature from 418 °C for pure magnesium hydride to 229°C for hydride with the addition of nickel powder. In situ studies of the evolution of the defect structure using positron annihilation methods and diffraction methods made it possible to draw conclusions about the influence of the Mg₂NiH₀.₃, Mg₂NiH₄ phases on the sorption and desorption properties of the composite. The results obtained in this work can be used in the field of hydrogen energy in mobile or stationary hydrogen storage systems.
Application of an Integrated Single-Cell and Three-Dimensional Spheroid Culture Platform in Investigating Drug Resistance Heterogeneity and EMT in Lung Cancer Subclones
Authors: Chen Shin-Hu , Yu Jian-Hong , Lin Yu-Chun , Chang Yi-Ming , Liu Nien-Tzu , Chen Su-Feng
Published: December 2024

Lung cancer is a leading cause of cancer-related mortality worldwide, largely due to its heterogeneity and intrinsic drug resistance. Malignant pleural effusions (MPE) provide diverse tumor cell populations ideal for studying these complexities. Although chemotherapy and tar-geted therapies can be initially effective, subpopulations of cancer cells with phenotypic plasticity often survive treatment, eventually developing resistance. Here, we integrated single-cell isola-tion and three-dimensional (3D) spheroid culture to dissect subclonal heterogeneity and drug responses, aiming to inform precision medicine approaches. Using A549 lung cancer cells, we established a cisplatin-resistant line and isolated three resistant subclones (Holoclone, Meroclone, Paraclone) via single-cell sorting. In 3D spheroids, Docetaxel and Alimta displayed higher IC50 values than in 2D cultures, suggesting that 3D models better reflect clinical dosing. Additionally, MPE-derived Holoclone and Paraclone subclones exhibited distinct sensitivities to Giotrif and Capmatinib, revealing their heterogeneous drug responses. Molecular analyses confirmed ele-vated MDR-1, ABCG2, cancer stem cells (CSC) markers (OCT4, SOX2, CD44, CD133), and epi-thelial-mesenchymal transition (EMT) markers (E-cadherin downregulation, increased Vimentin, N-cadherin, Twist) in resistant subclones, correlating with enhanced migration and invasion. This integrated approach clarifies the interplay between heterogeneity, CSC/EMT phenotypes, and drug resistance, providing a valuable tool for predicting therapeutic responses and guiding per-sonalized, combination-based lung cancer treatments.
Secondary-Structure-Informed RNA Inverse Design via Relational Graph Neural Networks
Authors: Manzourolajdad Amirhossein , Mohebbi Mohammad
Published: December 2024

RNA inverse design is an essential part of many RNA therapeutics strategies. To date, there have been great advances in the computationally-driven RNA design. Current machine-learning approaches can predict the sequence of an RNA given its 3D structure with acceptable accuracy and tremendous speed. Design and engineering of RNA regulators such as riboswitches, however, is often more difficult, partly due to their inherent conformational switching abilities. Although recent state-of-the-art models do incorporate information about the multiple structures a sequence can fold into, there is great room for improvement in modeling structural switching. In this work, a relational geometric graph neural network is proposed that explicitly incorporates alternative structures to predict the RNA sequence. The proposed model uses edge types to distinguish primary-, secondary-, and tertiary-structure pairing/positioning of nucleotides for its training. Results show higher native sequence recovery rates over gRNAde across different test sets (eg. 72% vs 66%) and a benchmark from the literature (60% vs 57%). The impact of secondary-structure on prediction accuracy was more significant than that of tertiary-structure dependencies as defined here. The code for the above relational GNN can be found here.
Research on Innovative Applications of AI in Sustainable Architecture: Blueprint for Future Building Technology
Authors: He Jingwen , Xu Haoran , Li Xinshi , Meng Qian
Published: December 2024

With increasing concerns over climate change and resource scarcity, sustainable construction has become a key priority. The proposed model integrates a multi-layer AI structure with three modules: data collection, intelligent prediction, and dynamic control. IoT sensors first gather real-time environmental data, which the AI system uses to operate effectively. A deep learning network then predicts building energy demand, enabling dynamic energy adjustments using LSTM neural networks. Finally, reinforcement learning algorithms adaptively control energy and environmental systems, incorporating climate predictions, building thermal properties, and energy prices to maximize efficiency. The model dynamically adjusts energy consumption based on predicted demand and factors such as climate forecasts, building thermal properties, and energy prices. Experimental simulations confirm the model’s effectiveness in reducing energy use and emissions across various building scenarios.
Improving Anaerobic Digestion Efficiency of Animal Manure Through Ball Milling Pretreatment
Authors: Xu Meicai , Uludag-Demirer Sibel , Liu Yan , Liao Wei
Published: December 2024

Anaerobic digestion (AD) offers a promising pathway for converting animal waste into biogas, improving waste management practices and generating renewable energy. However, the lignocellulosic structure of animal manure, particularly in dairy and cattle manure, hinders digestion efficiency and limits biogas yield. This study investigates the application of ball milling as a pretreatment strategy to enhance the anaerobic digestion of dairy manure. By reducing particle size and disrupting lignocellulosic structures, ball milling increases the bioavailability of organic matter, thus promoting microbial conversion and boosting biogas production. Experimental results reveal that 1-hour ball mill pretreatment increases biogas and biomethane production by 20% compared to untreated manure, achieving the same yield as digestion with 0.5% activated carbon addition. Furthermore, microbial community analysis indicates that anaerobic microbes remain largely unaffected by ball milling pretreatment, unlike the changes observed with activated carbon addition. These findings suggest that ball milling is a practical, adaptable, and scalable pretreatment method to enhance the anaerobic digestion efficiency of dairy manure. It offers a sustainable solution for improved manure management and biogas production.
Advances in Electronics and Digital Technologies for Medical and Healthcare: A Survey
Authors: Soltani Sharif Abadi Ali , Koguciuk Agata , Jangas Mateusz , Korycki Patryk , Tylicka Katarzyna , Targos Piotr
Published: December 2024

The integration of electronics and digital technologies into the medical and healthcare sectors has revolutionized the way healthcare services are delivered and managed. Over the past few decades, there have been significant advancements in various areas such as medical devices, diagnostic tools, health monitoring systems, telemedicine, and electronic health records (EHRs). These innovations have led to improved patient outcomes, increased efficiency in healthcare delivery, and the democratization of medical knowledge and services. A thorough analysis and review of electronic applications in healthcare and medicine is necessary. This literature review aims to provide a comprehensive survey of the recent advances in electronics and digital technologies in the medical and healthcare fields, highlighting key developments, current applications, and future trends. This paper presents recent developments in electronics and digital technologies for medical and healthcare applications. It aims to cover the most important topics in the field, including wearable technologies and sensors, robotic surgery, developments during COVID-19, the Medical Internet of Things (M-IoT), electronic healthcare record systems, social media and websites, and smartphone applications. For each topic, there is a comparison or detailed discussion of different applications or features.
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 (Zea mays var. saccharata). 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-1. 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-1 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 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-1 and apply it at the ages of 15 and 30 days after planting.
Using the Monte-Carlo method for assessing the difference in the operation of the fuel protector depending on the difference in its thermal physical and geometric parameters
Authors: Baida Evgen , Grechko Olexandr
Published: December 2024

The article considers the Monte Carlo method, as one of the few methods for calculating the limit of the heating time of the furnace insert, which, using a fairly simple algorithm, allows to estimate with high accuracy the errors in the operation of the preventer depending on random discrepancies in its physical and geometric parameters. Due to its features, the method can be extended to modeling any process affected by random variables. The application of this method made it possible in this article to calculate the limits of the heating time of the furnace insert depending on the probability of the heating time falling within these limits, to calculate the limits of the heating time of the furnace insert depending on the multiplicity of the current of the furnace insert with a given 0.95 percent probability of the heating time falling within these limits and determine the parameters that have the greatest influence on the differences in heating time. This article substantiates the application of the Monte Carlo method.
A complex approach to monitoring the physical factors of the production environment
Authors: Kalinchyk Vasyl , Pobigaylo Vitalii , Kalinchyk Vitalii , Borychenko Olena , Meita Aleksandr
Published: December 2024

It is shown that production safety in modern conditions is ensured only with constant assessment and effective control of production risks. The transition to information technology poses additional challenges to the technology of information preparation. The main requirement for the development of a management system for ensuring safe working conditions and occupational safety, built using modern information technologies, is to exclude incomplete information, which allows for the implementation of such an open management system that, in specific production conditions, would provide justification for management decisions based on the processing of available information. Moreover, the main core of such a system is a system for monitoring the physical factors of the production environment. An integrated approach to monitoring the physical factors of the production environment is substantiated. It is shown that the integrated approach consists in the mandatory consideration of all physical factors of the production environment available at the workplace, in ensuring prompt collection of data on the actual levels of these factors and their further processing. The author proposes a structural scheme for comprehensive monitoring of physical factors of the production environment, which includes the implementation of tasks aimed at identifying cases of excess of the levels of controlled factors over the maximum permissible levels, as well as the formation of data necessary for making sound management decisions.
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.
The Effects of Stellar Wind, Rotation Velocity, and Overshoot Parameters on The Evolution of Massive Stars using MESA: Case Study of MPG 324, MPG 355, MPG 682
Authors: Adira Alin Hafizhah , Aprilia
Published: December 2024

Massive stars (over 8 solar masses) undergo intricate cosmic journeys. Their evolution, shaped by parameters like stellar wind, rotation velocity, and overshoot, generally includes the pre-main sequence, main sequence, and post-main sequence phases. In the post-main sequence, they become supergiant stars, then Wolf-Rayet stars, experience a supernova, and end as neutron stars or black holes. This study models the evolutionary path of massive stars using MESA software, considering stellar wind, rotation velocity, and overshoot. Three stars from the Small Magellanic Cloud galaxy—MPG 324, MPG 355, and MPG 682—are used to represent the mass range described in the Conti Scenario. The model is compared to Conti Scenario and observational data, showing good agreement with luminosity, effective temperature, and evolutionary phase, though not yet at final stages. This provides valuable insights into stellar evolution.
Seismometer Health Diagnosis Based on Cross Spectral Density Coherence Method in Indonesia Seismic Networks
Authors: Jannah Miftahul , Annisa Risa , Saputro Adhi Harmoko , Lestari Titik
Published: December 2024

Evaluation of seismometer health is crucial in accurately detecting earthquake and tsunami events. Currently, seismometer health evaluation is based solely on data quality unrelated to seismometer sensor performance. While seismometers are essential for tracking seismic activity, environmental factors, aging components, and external interference can cause seismometers to function worse over time. This study presents a seismometer health diagnosis technique based on seismic signal analysis, including signal truncation, signal resampling, filtering, and deconvolution of instrument response. Then the proposed method of cross-spectral density coherence to extract seismometer sensor health indicators performed on two adjacent broadband seismic stations by analyzing the frequency domain with a maximum inter-station distance of 100 km. The data used are seismic signals recorded on three-component seismometers (North-South, East-West, Z-Vertical). The coherence value of cross-spectral density is used as an indicator to diagnose seismometer health. The proposed method was evaluated on a seismic network in Indonesia consisting of 88 stations and a teleseismic earthquake event in Honshu, Japan. The coherence values of almost all tested stations are above 0.8, which means good performance. The proposed method is suitable for analyzing the health of seismometers, especially in Indonesia.
Systematic Review: Meta-Synthesis of Implementation of Act No. 18 of 2019 on Pesantren
Authors: Mustofa Idam , Anwar Saiful , Yusron Moh. Alwi , Asrori Asrori
Published: December 2024

The study explores the implementation of Act No. 18 of the Year 2019 on Pesantren which covers the complexity of Pesantren management, mainly related to adaptation to the demands of the modern era, integrating knowledge into the curriculum, and improved management. The objective of the research is to conduct a meta-synthesis of ten studies related to the implementation of the Act on Pesantren, highlighting aspects such as management, human resources, finance, curricula, facilities, and the role of Pesantren in society. The research method uses a qualitative approach in a systematic review with meta-aggregation techniques. Research results show that the Act on Pesantren has a positive impact, including official recognition of Pesantren’s graduates, protection against the uniqueness of interns, and empowering interns in raising the Human Development Index (HDI) in Indonesia. Nevertheless, there are challenges such as ideological debates and variations in the implementation of the Act on Pesantren in various areas, mainly related to concerns about the loss of Pesantren’s independence.
Role of Pesantren Tradition in Fostering Santri Morals (Case Study of Santri Al-Falah, Silo Jember District)
Authors: Hanifiyah Fitriyatul
Published: December 2024

Morals are an important element in the life of a student. To shape the morals or attitudes of a student into commendable morals and in accordance with the predicate of santri, it is necessary to foster familiarization with the traditions of pesantren. Pesantren institutions have certain traditions that are applied in the pesantren environment, as well as in the Al-Falah Islamic boarding school foundation, which requires its students to follow the traditions that have prevailed in the pesantren environment. This research focuses on the implementation and habituation of pesantren traditions that must be followed in order to build and mold the morals of students into commendable morals. Data collection in this study used non-participant observation, in-depth interviews, and documentation. The data analysis technique starts with data collection, data reduction, data presentation, and conclusions. In checking the validity of the data using source triangulation, The results of this study show a change in the morals of students for the better by showing an attitude of trust. The supporting factors are the discipline of the management, the foundation, and good collaboration in controlling, while the inhibiting factor is the character or innate character inherent in the behavior of students.
Comparative Study Of Islamic Education In Formal Schools Based On Boarding Schools And Islamic Boarding Schools (Study In Man 1 Malang City And Ma An Nur Bululawang-Malang)
Authors: Nur Alimin Moch. , Roihana Siti Nailatur
Published: December 2024

The world of education today confronts challenges associated with individuals of noble character. There are problems along with the development of the times, including juvenile delinquency, promiscuity, brawls between students, and moral degradation. Related to this phenomenon, nowadays there are rampant formal institutions (formal schools), which also have boarding schools and Islamic boarding schools. The institution was established in an effort to improve Islamic education, which also contains morals. The focus of this research problem has been directed to the study of (1) Islamic education in boarding school-based formal schools (MAN 1 Malang City), (2) Islamic education in islamic boarding school-based formal schools (MA An Nur Bululawang-Malang), and (3) characteristics of Islamic education in boarding school-based formal schools (MAN 1 Malang City) and islamic boarding schools (MA An Nur Bululawang-Malang). The method used in this study is a qualitative approach (comparative study). The data analysis used involves analyzing all existing data, reducing data, compiling data into units, and categorizing data. The last stage carried out is to check the validity of the data. Based on the results of the study, it can be concluded. (1) Islamic education in boarding school-based formal schools (MAN 1 Malang City) has a level of effectiveness of Islamic education both in terms of quality and quantity. (2) Islamic education in formal boarding school-based schools (MA An Nur Bululawang-Malang) has become a tradition/culture, formal schools adopt Islamic education values sourced from Islamic boarding schools, (3) The characteristics of Islamic education in boarding school-based formal schools occur The balance between religious and general knowledge, the margin between the two, is not too large. Meanwhile, Islamic education in formal boarding school-based schools adopts boarding values in every activity at school
Islamizing peoples with Afghani-‘Fundamentalism’? A Critical Review of Bangladeshi Newspaper
Authors: Munmun Tasnim Tabassum
Published: December 2024

Taliban has re-emerged in the same position of power after 20 years with the withdrawal of US troops by whom the government of Afghanistan was ousted. This study examines how two prominent and highly circulated newspapers in Bangladesh, the Daily Star (DS) and Prothom Alo (PA), respectively English and Bangla dailies, have represented the issue of Taliban’s coming back to power and the withdrawal of US troops from Afghanistan and how they legitimate the Western intrinsic ideology of sense of superiority— for example, accepting authority of the US and invading powers; and vested agenda of the newspapers. It also argues that both newspapers accepted Orientalist perception of Western superiority— for example, encouraging invading parties to stay in Afghanistan and reject the freedom of Afghanistan people, which eventually promote the orientalist ideology at its core agenda— e.g., forming an enemy image of the non-West and perceive Islam and Muslims as a threat. Examining the news and editorials, this study argues that Bangladeshi newspapers have dehumanized and sidelined the people of the occupied land and favored the invaders instead. Therefore, these newspapers were involved in the exclusion process of Afghan people, which once again would mean that Bangladeshi newspapers constructed the image of Other inside us.
Marketing digital y posicionamiento de la Óptica Salud Visual, distrito Los Olivos (Lima-Perú), 2020
Authors:   , Carthy Ravello Christian Paolo , Ojea Merino Mariana Raquel
Published: December 2024

La investigación presentada se centra en las variables de marketing digital y posicionamiento en una organización dedicada a la salud visual. El propósito principal de este estudio fue determinar la correspondencia entre el marketing digital y la variable de posicionamiento de la Óptica Salud Visual en el distrito de Los Olivos (Lima - Perú) durante el año 2020, utilizando una muestra de 80 clientes. La metodología empleada adoptó un enfoque cuantitativo de tipo aplicado, junto con un diseño no experimental, nivel correlacional. La recopilación de datos fue mediante encuestas utilizando un cuestionario que medía los indicadores con una escala de Likert. Para el análisis estadístico, se utilizaron las aplicaciones MS-Excel y SPSS en su versión 26. Las conclusiones obtenidas para las variables de estudio se basaron en la prueba de "Rho de Spearman", revelando un coeficiente de 0,850, indicando una conexión directa y fuerte. Además, con un P valor (sig=0,00), se aceptó la hipótesis alterna, confirmando la existencia de una relación significativa entre las variables mencionadas, considerando el tiempo y el espacio de este estudio.
Asociación entre conocimientos y actitudes sobre la violencia basada en género en profesionales de la salud de hospitales en Lima
Authors:   , Nina Silva Pierina Nicole , Rodriguez Almendras Maria Pia
Published: December 2024

La Violencia Basada en Género (VBG) es un problema grave de salud pública que conlleva a una peor salud mental y física de las víctimas. Los establecimientos de salud muchas veces son los primeros lugares donde la víctima acude, estos juegan un papel importante en la detección y respuesta ante un caso de violencia contra la mujer. Sin embargo, existen barreras como la falta de conocimiento de los profesionales de la salud, falta de socialización de protocolos, estigmas sociales y/o desinterés por el tema. Objetivos: Determinar la asociación entre los conocimientos y actitudes sobre violencia basada en género en profesionales de la salud de hospitales de Lima. Además, describir las variables sociodemográficas y demás variables. Metodología: Estudio observacional, cuantitativo, analítico de corte transversal. La población está compuesta por profesionales de la salud que se dedican a la docencia en la Universidad Científica del Sur, cuyo tipo de atención fue consulta/teleconsulta, hospitalización, especialidad quirúrgica y áreas de emergencia. Se realizó un muestreo aleatorio y se invitó a los sujetos a participar en el estudio. El instrumento fue adaptado y validado considerando material de un estudio previo. Conclusiones: Los hallazgos de este estudio demuestran la asociación que existe entre los conocimientos y las actitudes de los profesionales de la salud frente a la violencia basada en género, concluyendo que tener un conocimiento bajo o intermedio sobre VBG se asocia con 3.24 veces la probabilidad de tener actitudes negativas ante un caso de VBG.
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

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

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

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.
THE PSYCHOLOGY OF CONSUMER BEHAVIOUR: UNDERSTANDING ECONOMIC DECISIONS IN THE AGE OF SOCIAL MEDIA AND INSTANT GRATIFICATION
Authors: Shah Khayal
Published: December 2024

Consumer behaviour has changed dramatically in an age of social media and instantaneous information access, with psychological factors and technological improvements playing a bigger role. With an emphasis on the opposing forces of social media and quick satisfaction, this research examines the complex interrelationship between psychology and economics in the context of consumer decision-making. It investigates how social effects, emotional triggers, and cognitive biases affect consumer behaviour in digital settings, drawing on theories from behavioural economics and psychology. The study explores how social media platforms might operate as strong inducers of impulsive spending through strategies like scarcity tactics, influencer marketing, and FOMO. It also examines how these actions affect both personal financial security and more general economic patterns, such as the increase in consumer debt and changes in saving patterns. Case studies emphasise the advantages and disadvantages of digital consumerism while offering practical insights into its workings. The initiative also addresses the long-term financial effects of quick satisfaction and suggests ways to encourage better spending practices and financial knowledge. To provide a forward-looking perspective on consumer psychology in a changing digital context, it looks at new trends like AI-driven advertising and virtual reality buying. This study emphasises the need for a balanced approach to regulating the psychological and economic implications of social media and rapid gratification, and it concludes with practical advice for consumers, legislators, and marketers. The initiative seeks to advance knowledge of contemporary consumer behaviour by fusing theoretical insights with real-world applications.
EVALUATION OF THE ENERGY NEEDS OF A TYPICAL HOUSE FOR THE DIFFERENT CLIMATIC ZONES OF CHAD
Authors:   University of NDjamena, Civil Engineering Laboratory, P.O. Box: 60 NDjamena/ Chad., Bichara Abdoulaye , Abdelaziz Hammouda ,   Badji-Mokhtar University of Annaba, Materials and Geomaterials Laboratory (LMGE UBM, Annaba Algeria)., Rodoumta Koina ,   University of NDjamena, Civil Engineering Laboratory, P.O. Box: 60 NDjamena/ Chad.
Published: December 2024

Ensuring thermal comfort for occupants throughout the year, starting from the building design phase, is a key challenge for all stakeholders. In Chad, temperatures are often very high for much of the year, leading to excessive use of air conditioning and ventilation systems. This phenomenon appears to be increasingly exacerbated by climate change. However, the energy demand, especially for cooling, is considerable across the entire national territory, while the country faces an energy access crisis. In this work, we aim to provide assistance to decision-makers and stakeholders at various levels to better understand and optimize buildings for different climate sites. Minimizing energy expenses while ensuring thermal comfort plays an essential role in social, environmental, and other aspects of well-being.
Challenges of Ph.D. training in social sciences and humanities in Kazakhstani universities
Authors: Satpayeva Zaira , Kangalakova Dana , Kakizhanova Tolkyn , Konstantinova Kristina
Published: December 2024

This study aims to identify challenges in the training of scientific personnel in the field of social sciences and humanities at the doctoral level in Kazakhstan. It proceeds from the assumption that successful completion of a Ph.D. program is conditioned by internal and external factors that influence the educational process and may lead to challenges in Ph.D. thesis defense. The study employs an explanatory-sequential approach within a mixed-methods design, incorporating economic-statistical, regression, and content analysis. Data were gathered through questionnaires from 61 current students and graduates of Ph.D. programs in the social sciences and humanities. Findings indicate that having a job made it more challenging for respondents to study and complete their Ph.D. programs, as employment requires time and effort; however, the additional monthly income besides scholarship helped reduce financial stress, thereby supporting their academic progress. Women found studying easier than men, while married respondents experienced fewer challenges than single ones. Although 36.1% of respondents expressed high satisfaction with Ph.D. training quality, the majority reported challenges, with 65.65% noting issues in the educational process, 52.5% identifying problems in scientific supervision, 33% raising concerns about teacher qualifications, and 25% highlighting infrastructure needs. Key factors influencing Ph.D. completion rates included an unstable study environment, characterized by frequent changes in regulations, and students’ difficulties in meeting government-imposed requirements, especially publication in a Scopus database journal. The study’s practical value is developing measures to enhance Ph.D. thesis defense rates by improving admission requirements, restricting external employment, increasing supervisor accountability, and adjusting publication standards.
Acknowledgments This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (AP19680246 “Building up highly intelligent human resources in the conditions of digitalization of the economy of Kazakhstan: problems and prospects”, 2023–2025) and supported the Oxus Society for Central Asian Affairs (program “Advancing data-driven solutions by strengthening partnerships between the scientific, academic and civil sectors in Central Asia”, 2023–2024).
Detection method for underwater dock joints: underwater sonar imaging based on 3D technology
Authors: Xiao Bing
Published: December 2024

In the detection of surface defects in underwater structures, traditional methods using manual diving are inefficient. Equipment such as underwater high-definition cameras and underwater laser imaging face significant signal attenuation in deep and turbid environments, and the information contained in two-dimensional sonar images is limited, making it difficult to meet accuracy requirements. To address these shortcomings, a detection method based on sonar imaging for underwater docks using three-dimensional (3D) reconstruction is proposed. This method first reduces environmental interference through preprocessing. Then, emit sound waves towards the underwater target and receive the returning signals, which are converted into digital signals. Next, perform 3D modeling and visualization. Finally, a detailed analysis of the 3D images is conducted to identify, analyze, and assess the severity and distribution patterns of defects. The experimental results show that the 3D scanning sonar imaging detection technology can effectively detect targets and accurately identify misalignment in caisson joints, meeting practical application requirements.
Strategies, Tactics, and Forms of Interaction between Rural Communities and Governmental Bodies during the Administrative and Territorial Reform of 1962–1966: "Letters to the Authorities" from the Altai Region
Authors: Rykov Alexey V.
Published: December 2024

Well-organized relations between the authorities and the population provide prompt feedback on the effectiveness of state reforms. The so-called letters to the authorities were a means of obtaining feedback from the population in the USSR. The author analyzed the archival letters to the authorities sent by the rural population of the Altai Region during the administrative and territorial reform of 1962–1966. The research objective was to reveal the strategies, tactics, and forms of interaction between the rural population and the authorities. The materials from the State Archive of the Altai Region included letters to the authorities and legal documents received by the regional executive committee, which were directly related to the reform in question. The rural population turned to two main strategies to solve the problems caused by the new administrative and territorial division: 1) they tried to achieve a complete restoration of the liquidated district; 2) they attempted to transfer their village to the subordination of the neighboring district. The senders adhered to passive or active tactics but failed in all their attempts to restore their districts. The strategy of transferring villages, village councils, collective farms, or state farms to the subordination of an adjacent district or region proved to be more successful in terms of logistics and management. To resolve the transfer issues, the regional authorities used an established decision-making pattern, in which they were not limited by the necessity to merge the districts, imposed by the central authorities.