bluuebunny/crossref_metadata_2025 huggingface dataset:
KOMPENTENSI PETANI DALAM PENGENDALIAN HAMA ULAT PERUSAK DAUN (Plutella Xylostella) PADA TANAMAN SAWI DI DESA JATI BALI KECAMATAN RANOMEETO BARAT KABUPATEN KONAWE SELATAN
Authors: Putri Hilda Pratiwi , Mappasomba Musadar , Mardin Mardin
Published: March 2024

The objective of this study is to evaluate the ability of farmers to control Plutella Xylostella pests on mustard plants in Jati Bali Village, Ranomeeto Barat Sub-district, South Konawe Regency. A qualitative approach was employed, with the research informants being mustard farmers in Jati Bali Village, selected using the Snowball Sampling method. Data was collected through observation, interviews, and documentation using an interview guide. The data analysis followed a qualitative method that involved four stages: data reduction, data presentation, verification, and conclusion drawing. The findings revealed that mustard farmers in Jati Bali Village primarily rely on synthetic pesticides for pest control. Farmers have demonstrated competence in pest control, as evidenced by their knowledge, attitudes, and skills in the farming process. However, their knowledge is limited to the use of chemical pesticides, and they lack sufficient understanding of other pest control methods, such as biological control, mechanical control, and disruption of the pest breeding cycle. Farmers who are involved in pest control should possess a positive attitude towards environmentally friendly pest control and have the necessary skills to apply different control methods effectively. By improving their knowledge, attitudes, and skills, farmers can adopt more diverse and sustainable pest control methods, which can reduce economic losses and negative environmental impacts.
Nexus of Climate Change and Policing
Authors: Mliless Mohamed
Published: March 2024

Climate change has far-reaching consequences that go beyond the environmental, economic, social, and health sectors, influencing public safety and security considerably. Rising temperatures, shifting weather patterns, extreme weather events, and sea-level rise affect law enforcement and governance, notably in disaster risk reduction and management. Climate change exacerbates current hazards and has been connected to an increase in criminal activity such as human trafficking. It also affects migratory patterns, making law enforcement activities more difficult. These difficulties highlight the critical need for context-specific measures to improve the resilience and adaptability of law enforcement organizations, particularly in developing nations. This involves strengthening law enforcement, implementing community policing techniques, and encouraging inter-service cooperation. Addressing these current circumstances needs immediate attention as well as new cross-sector solutions.
Factors Affecting Treatment Adherence Among Patients with Tuberculosis in Indonesia: Literature Review
Authors: Islam Fahrul , Ahmad Haeranah , Nurbaya  , Ahmad Masnaeni , Ansar  , Ramadhan Kadar , Syukri Muhammad , Arrazy Syafran , Aji Perdana Agung , Siregar Deborah , Ade Ningsih Nining , Dwi Astuti Ikes , Kadijah Hamid St. , Hamonangan Pasaribu Asrul
Published: March 2024

Introduction: Tuberculosis (TB) is the leading cause of death from infectious diseases in the world and Indonesia is the second largest contributor to TB cases after India. Treatment adherence problems are a major obstacle to TB elimination. The purpose of this Literature Review is to determine the factors that affect treatment adherence among TB patients in Indonesia.

Methods: Literature obtained from Science Direct, PubMed, and Google Scholar; published from 2018 – 2023, research from reputable international journals and from national journals at least with SINTA 3, located in Indonesia. Indonesian and English with full text of all types of research designs. Article selection was carried out using the method "Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) and analyzed using descriptive analysis techniques.

Results: A total of 225 articels were deemed appropriate for the topic, but only 15 articles were included based on inclusion criteria. It was found that there are several factors that affect treatment adherence in tuberculosis patients in Indonesia, namely: predisposing factors as many as 11 articles (age, education, occupation, knowledge, self-efficacy, concordance, health behavior, motivation, marital status, income level, drug side effects, already feeling cured, and duration of treatment). Reinforcing factors as many as 2 articles (family support). Enabling factors as many as 5 articles (the role of officers, reminder SMS messages from officers, health counseling, and distance of residence to health services).

Conclusion: The most dominant factor affecting treatment adherence among tuberculosis patients in Indonesia is the Predesposising factors, namely education and sefl-efficacy.
ANÁLISIS CORRELACIONAL DEL CONSUMO DE AGUA POTABLE Y SU INCIDENCIA EN LA SALUD DE LOS HABITANTES DE LA CIUDAD DE CALCETA
Authors: Palacios López Luisa Anabel , Pinargote Bravo Victor Joel
Published: March 2024

La investigación tuvo como objetivo evaluar la incidencia de la contaminación por coliformes fecales en agua de consumo humano, en la salud de la población de Calceta; Se inició la etapa técnica (de campo), con tres muestreos, sectorizados en ocho partes de la ciudad, se escogieron 11 puntos de la división realizada y otro punto a la salida de los reservorios de la EMAARS-EP. En la etapa de análisis se realizó el conteo de coliformes fecales mediante la técnica de número más probable, se comparó con los límites permisibles establecidos por la norma INEN para verificar si el agua cumple o no con dichos valores; los resultados evidencian que existen contaminación por coliformes fecales, de tal manera que en el primer monitoreo se obtuvo el 91.66% contaminadas, en el segundo monitoreo 66.66% contaminadas y en el último muestreo el total de muestras contaminadas fue de 75%. Para determinar la calidad de salud se efectuaron entrevistas a la población, apoyada con información estadística de centros de salud. Se evidenció que la calidad de salud de la población se encuentra afectada en un 23%, debido a la presencia de coliformes fecales, considerándola en nivel medio como índice de enfermedades diarreicas, finalmente se evidenció que las variables que guardan más relación con la presencia de enfermedades diarreicas agudas (EDAs) son la cantidad de agua que los usuarios almacenan y su uso en la alimentación
Exploring Challenges Forefront to Family Business Leaders: A Perspective of Family Business Owners
Authors: Syed Yasir Abbas Zaidi  , Muhammad Waqas  , Faisal Mahmood
Published: March 2024

Family businesses, owing to their unique blend of family dynamics and business operations, often face distinctive hurdles that can significantly impact their sustainability and growth. This qualitative study delves into the multifaceted challenges that confront family business leaders, as seen through the eyes of family business owners, which is a missing aspect in the extant literature database. Through in-depth interviews and thematic analysis, this study aims to shed light on the key challenges family business leaders encounter. The findings of the study reveal that the family business leaders have challenges related to the succession planning, financial management, conflict resolution, communication breakdown, governance, HRM, and the evolving business environment in the day-to-day business operation. These findings further echoed the need for a personalized approach and support systems to face the challenges and to be successful in the long run. These results not only contribute to the existing literature related to the management of family business, but also provide a very practical use to the practitioners in increasing the strength of both the family and business while operating within the context with such complexity.
Exploring the Corporate Governance and Financial Performance: Nexus Through Green Investment in the Automobile Sector of Pakistan
Authors: Sajida Gul  , Mahboob Ullah  , Shahid Rasheed
Published: March 2024

Based on the legitimacy theory, The main aim of this study intends to evaluate the impact of corporate governance (CG) on firm performance (FP) with the mediating role of green investment (GI) by deploying automobile sector listed on PSX from 2011 to 2021. Because automobile sector has a significant impact on Pakistan GDP and also the growing importance of sustainable practices. This study used balanced panel data with diagnostic tests, descriptive, correlation analysis, GLS model and mediation analysis via STATA. Preacher and Hayes (2013) model were used to check the mediating effect. The results found that there has a significant positive impact of managerial Ownership (MO) and audit committees (AC) on firm performance (FP), with board size (BS) showing a negative and statistically insignificant effect. The overall framework implies a significant and positive relationship between CG and FP, while GI did not show the mediating effect. This current study emphasizes that the companies should incorporate green investment strategy into CG frameworks to meet financial success and sustainable environment. This provides a remarkable insight for policymakers to improve governmental rules, stimulate stakeholder input, enforce transparent disclosure standards, and promotion of GI in order to establish a sustainable corporate environment. These actions are recognized as crucial tactics for creating a corporate structure that balances environmental responsibility with economic development.
Intangibilidad en las Instituciones de Educación Superior y su gestión a partir de un modelo de gestión del conocimiento
Authors: León Vega Dulce María , Garfias Sánchez Juan Carlos
Published: March 2024

En el presente trabajo de investigación se presenta el marco teórico – conceptual bajo el enfoque de investigación cualitativa de corte transversal que sustenta la investigación doctoral acerca de la intangibilidad en las IES y su gestión, a partir de un modelo de gestión del conocimiento, que tiene como objetivo explotar el capital intelectual de las IES y propiciar que aumente de forma significativa, mediante la administración de sus capacidades para la solución de problemas en la demanda laboral con un objetivo final: generar ventajas competitivas sostenibles a partir de educación de calidad, a través de la creación de un modelo de gestión de conocimiento que logra  aprovechar el potencial humano y promover el aprendizaje continuo entre el personal, facilitando su adaptación y éxito en ambientes desafiantes y competitivos, y generando estrategias de valor agregado en respuesta a las demandas cambiantes de las sociedades y los mercados.
ДЕЯТЕЛЬНОСТЬ ОРГАНОВ СУДЕЙСКОГО СООБЩЕСТВА ПО ОБЕСПЕЧЕНИЮ НЕЗАВИСИМОСТИ СУДЕБНОЙ ВЛАСТИ
Authors: Козлов Ю.А.
Published: March 2024

Автор на основе собственного эмпирического материала и опыта работы как в квалификационных коллегиях судей военных судов двух окружных судов, так и председателя Совета судей Санкт-Петербурга анализирует положения Федерального закона от «Об органах судейского сообщества в Российской Федерации». Особое внимание уделено вопросам формирования Совета судей Российской Федерации и функциям защиты судей.
A survey on the state-of-the-art superpixel segmentation
Authors: Barcelos Isabela Borlido , Falcão Alexandre X. , Guimarães Silvio J. F.
Published: March 2024

In contrast to the rapid progress of superpixel segmentation, their methods are often compared only with classical approaches. Also, the previous superpixel methods categorizations are insufficient to cover the recent literature. In addition, although the inner color similarity usually underlies superpixel methods, both color homogeneity measures have important drawbacks. In this work, we fill these gaps by providing a new taxonomy for superpixel segmentation, a new color homogeneity measure, and an extensive comparison among 20 superpixel methods. Experiments show that the proposed measure, named Similarity between Image and Reconstruction from Superpixels (SIRS), is more robust to slight color variations than Explained Variation. Using SIRS and the commonly used superpixel metrics, we evaluated 20 superpixel segmentation methods and provided insights into the different approaches based on the clustering categories in our taxonomy.
Super-Resolution Towards License Plate Recognition
Authors: Nascimento Valfride , Laroca Rayson , Menotti David
Published: March 2024

Recent years have seen significant developments in license plate recognition through the integration of deep learning techniques and the increasing availability of training data. Nevertheless, reconstructing license plates from low-resolution surveillance footage remains challenging. To address this issue, we propose an attention-based super-resolution approach that incorporates sub-pixel convolution layers and an Optical Character Recognition (OCR)-based loss function. We trained the proposed architecture on synthetic images created by applying heavy Gaussian noise followed by bicubic downsampling to high-resolution license plate images. Our results show that the proposed approach for reconstructing these low-resolution images substantially outperforms existing methods in both quantitative and qualitative measures. Our source code is publicly available at https://github.com/valfride/lpr-rsr-ext/.
Open Set Domain Adaptation Methods in Deep Networks for Image Recognition
Authors: Alvarenga e Silva Lucas Fernando , Almeida Jurandy
Published: March 2024

Deep learning (DL) has revolutionized various fields through its remarkable capacity to learn from raw data. However, in uncontrolled environments like in the wild, the performance of these systems might degrade to some extent, especially with unlabeled datasets. Naive approaches train DL models on labeled datasets (source domains) that resemble the unlabeled test dataset (target domain), but nonetheless, this approach may not yield optimal results due to domain and category-shift problems. These issues have been the primary focus of Unsupervised Domain Adaptation (UDA) and Open Set Recognition research areas. To address the domain-shift problem, we introduced the Multi-Source Domain Alignment Layers (MS-DIAL), a structural solution for multi-source UDA. MS-DIAL aligns the source domains and the target domain at various levels of the feature space, individually achieving competitive results comparable to the state-of-the-art, and when combined with other UDA methods, it further enhances transferability by up to 30.64% in relative performance gains. Subsequently, we tackled the demanding setup of Open Set Domain Adaptation (OSDA), where both domain and category-shift issues coexist. Our proposed approach involves dealing with negatives, extracting a high-confidence set of unknown instances, and using them as a hard constraint to refine the classification boundaries of OSDA methods. We assessed our proposal in an extensive set of experiments, which achieved up to 5.8% of absolute performance gains.
User-Assisted Design of a Neural Network for Brain Tumor Segmentation
Authors: Cerqueira Matheus A. , Falcão Alexandre X.
Published: March 2024

Brain tumor segmentation is a complicated task, with deep learning (DL) presenting the best results. However, DL segmentation models have been increasing in complexity over the last few years, requiring a high volume of fully-annotated images, which is aggravated by the fact that those models are trained to optimize a loss function with no or less understanding of how the features are learned. In contrast, a recent methodology, Feature Learning from Image Markers (FLIM), has involved an expert in the learning loop while reducing human effort in data annotation without using the backpropagation algorithm. In this work, We employ a method for estimating and selecting filters that explore user knowledge, ensuring that the first convolutional layer has features that activate the different lesions and healthy tissue patterns. We used a small U-shaped network (sU-Net) where the encoder is trained with two FLIM modifications, first with multiple training steps (MS-FLIM) and the second by using distinct configurations of markers and images using a biased FLIM (B-FLIM). The results show that the sU-Net based on MS-FLIM and B-FLIM outperforms the standard FLIM and the backpropagation algorithm. Also, We showed that our methodology achieves effectiveness within the standard deviations of the SOTA models while using a small number of layers.
Single-Shot Object Detection and Supervised Image Segmentation for Analysing Cell Images Obtained by Immunohistochemistry
Authors: Costa Gustavo Martins L. da , Rodrigues Anna P. C. , Fonseca Gabriel Barbosa da , Patrocínio Jr Zenilton K. G. do , Souto Giovanna Ribeiro , Guimarães Silvio Jamil F.
Published: March 2024

Analyzing cell images and identifying them correctly is a fundamental task in the immunohistochemical exam. In this paper we propose a novel method to segment FoxP3+ Regulatory T cells (Treg) images automatically, in order to assist healthcare professionals in the task of identifying and counting potentially cancerous cells. The proposed method relies on combining an object detection network, which is tailor-made for microscopy images, with a marker-based image segmentation method to produce the final segmentation, while requiring only a 50x50 training patch to do so. Our pipeline consists on predicting the location of the cells, applying morphological operations on the prediction weights to transform them into markers, and finally using the segmentation method iDISF to generate high quality segmentations. We also propose a new FoxP3+ Treg cells dataset containing 10 high resolution images, with a qualitative and quantitative analysis of our segmentation methods for this dataset.
An Optical Character Recognition Post-processing Method for technical documents
Authors: Silva Lucas Viana da , Drews Junior Paulo Lilles Jorge , Botelho Sílvia Silva da Costa
Published: March 2024

Methods for correcting errors generated by Optical Character Recognition (OCR) system are being developed for a long time, with interesting results in their applications. However, these methods tend to work only on data with words that are part of an existing language and with a large semantic relationship between each word in the text. In this work, an error correction method is proposed that focuses on types of documents without these large semantic relationships inside their text. Instead, we focus on sparse text that tends to have little semantic relationship between the words found within itself. The proposed method uses machine learning to train classifiers capable of finding errors in the OCR output and run an isolated execution of the OCR system to fix the error. The final results indicate a good accuracy of 88.24% for error detection and an improvement of the character error rate (CER) of 14.2%.
Comparison Study of Automated Facial Expression Recognition Models
Authors: Preto Murilo de Souza , Ferreira Fernando Teubl , Kurashima Celso Setsuo
Published: March 2024

Facial expressions play a crucial role in human nonverbal communication, and in the psychology field there is a strong consensus on the existence of five key emotions: anger, fear, disgust, sadness, and happiness. This paper aims to evaluate multiple facial expression recognition detection models, assessing their performance across different machines and databases. By identifying the strengths and weaknesses of each option, the study seeks to comparatively determine the most suitable model for specific tasks or scenarios. For each computer, all databases were processed through the usage of the detection models, while measuring the required runtime for the facial expression detection. The detection models: Residual Masking Network and Deepface, were tested through the databases Extended Cohn-Kanade and AffectNet. The assessed data point towards an average higher accuracy for the model Residual Masking Network, but faster runtime for Deepface. Thereby, Deepface may be preferentially employed in scenarios where time constraints are a primary concern, there is limited processing capability available, or an emphasis on recognizing either happiness or neutral expressions, while Residual Masking Network might be favored in striving for a higher detection accuracy.
Virtual Interviews and the Pediatric Emergency Medicine Match Geography: A National Survey
Authors: Baghdassarian Aline , Bailey Jessica A. , Caglar Derya , Eckerle Michelle , Fang Andrea , McVety Katherine , Ngo Thuy , Rose Jerri A. , Roskind Cindy Ganis , Tavarez Melissa M. , Benedict Frances Turcotte , Nagler Joshua , Langhan Melissa L.
Published: March 2024

Introduction: Virtual interviews (VI) are now a permanent part of pediatric emergency medicine (PEM) recruitment, especially given the cost and equity advantages. Yet inability to visit programs in person can impact decision-making, leading applicants to apply to more programs. Moreover, the cost advantages of VI may encourage applicants to apply to programs farther away than they might otherwise have been willing or able to travel. This could create unnecessary strain on programs. We conducted this study to determine whether PEM fellowship applicants would apply to a larger number of programs and in different geographic patterns with VI (2020 and 2021) as compared to in-person interviews (2018 and 2019).Methods: We conducted an anonymous national survey of all PEM fellows comparing two cohorts: current fellows who interviewed in-person (applied in 2018/2019) and fellows who underwent VIs in 2020/ 2021 (current fellows and those recently matched in 2021). The study took place in March–April 2022. Questions focused on geographic considerations during interviews and the match. We used descriptive statistics, chi-square and t-tests for analysis.Results: Overall response rate was 42% (231/550); 32% (n = 74) interviewed in person and 68% (n = 157) virtually. Fellows applied to a median of 4/6 geographic regions (interquartile range 2, 5). Most applied for fellowship both in the same region as residency (216, 93%) and outside (192, 83%). Only the Paciﬁc region saw a statistically signiﬁcant increase in applicants during VI (59.9% vs 43.2%, P = 0.02). There was no statistical difference in the number of programs applied to during in-person vs VI (mean difference (95% conﬁdence interval 0.72, −2.8 – 4.2). A majority matched in their preferred state both during VI (60.4%) and in-person interviews (65.7%). The difference was not statistically signiﬁcant (P = 0.45).Conclusion: While more PEM fellowship applicants applied outside the geographic area where their residency was and to the Paciﬁc region, there was no overall increase in the number of programs or geographic areas PEM applicants applied to during VI as compared to in-person interview seasons. As this was the ﬁrst two years of VI, ongoing data collection will further identify trends and the impactof VI.
Steroid-Induced Progressive Multifocal Leukoencephalopathy (PML) in HIV Patient: A Paradoxical Effect
Authors: Shabani Minoosh , Fathy Mobin , Pourmoshtagh Hassan , Maghsudloo Faezeh
Published: March 2024

Introduction: Progressive multifocal leukoencephalopathy (PML) is a rare, severe demyelinating disease of the central nervous system predominantly found in patients with acquired human immunodeficiency syndrome (AIDS). Case Presentation: This report details a case involving a male HIV-positive patient with PML who discontinued his highly active antiretroviral therapy (HAART) treatment 10 days after being diagnosed with HIV. The patient had no history of neurological symptoms either before or after his HIV diagnosis until he was administered corticosteroids. Notably, he began experiencing ataxia shortly after starting dexamethasone. Progressive multifocal leukoencephalopathy was diagnosed through polymerase chain reaction (PCR) testing for the John Cunningham virus (JCV) in the cerebrospinal fluid (CSF). The PML lesions were confined to the cerebellum. Conclusions: The occurrence of neurological symptoms (activation of JCV) after administering corticosteroids to a patient with HIV-who had not received any antiretroviral treatment for 4 years-raises a critical question: Is the use of corticosteroids, which are a primary treatment for immune reconstitution inflammatory syndrome (IRIS), a double-edged sword in CNS-IRIS?
Learning about Flour Albus on Personal Hygiene Behavior among High School Students in the South Jakarta Area
Authors: Siswosuharjo Partono , Fathiyati Fathiyati
Published: March 2024

The aim of this research is to provide learning about fluor albus on personal hygienebehavior among female high school students in Jakarta Slatan. The research methodused was cross sectional analytics with primary data obtained through distributingquestionnaires to 368 respondents in 17 high schools in Jakarta Slatan. The data ispresented in the form of a frequency distribution and then the Chi-Square test is used.Meanwhile, the results of the research showed that knowledge about fluor albusamong female high school students was 66.58% in the good category, knowledge offluor albus according to the understanding indicator was 62.77% in the good category,the classification indicator was 58.70% in the good category, the etiology indicator was62.77% with good category, impact indicators 91.58% in the good category, and fortreatment and prevention indicators 55.71% in the good category, while 66.03% ofpersonal hygiene behavior is included in the good behavior category, statisticalrelationship between knowledge about fluor albus and behavior personal hygienemeans. The conclusion of this research is that there is a relationship betweenknowledge about fluor albus and personal hygiene behavior of high school students inJakarta Slatan.
Investigation of factors affecting photovoltaic thermal system efficiency
Authors: Dölek Sinan , Arslan Gökhan
Published: March 2024

This experimental study investigates the effects of ambient temperature (Tamb) and solar irradiance on the efficiency of photovoltaic panels (ηPV). Experiments have shown that increasing these parameters, which affect ηPV, also raises panel Tcell, leading to decreased electrical energy production. A photovoltaic thermal (PV/T) system was created to enhance the ηPV by reducing Tcell. The excess heat generated in the cells is stored as hot water in this system. In the experiments, water was used as the heat transfer fluid (HTF) to lower the temperature of the PV panel. A closed loop with a 25-liter tank volume circulated the water at a constant mass flow rate of 0.0161 kg/s. The heat transferred from the panel cells to the HTF was accumulated in a 50-liter water tank. The ηth of a standard PV panel and a PV/T system, with and without a fan-cooled heat exchanger, was assessed. The results showed that the ηelec of the system without a fan-cooled heat exchanger increased by 2%. However, for systems designed for maximum efficiency, the presence of the fan-cooled heat exchanger caused a 13% reduction in ηth. Additionally, the temperature of the water in the tank increased by 50%. The efficiency of the designed PV/T system was analyzed without the use of a fan-cooled heat exchanger. The 8-hour average thermal efficiency was calculated to be 66.53%, with an electrical efficiency of 3.42%. The results are presented in graphs for better data visualization.
Design and optimization of battery and thermal management system for AC photovoltaic energy module
Authors: Gullu Sahin , Batarseh Issa , Alaql Fahad
Published: March 2024

The utilization of renewable energy sources has increased due to concerns about climate change. However, injecting the power from renewable energy sources into grid-tied systems is challenging. The techno-economic analysis a photovoltaic (PV) energy systems is investigated. As a result, this paper presents AC-PV module for Grid-Tied and Off-Grid Scenarios via optimization, modeling, and test results. Even though the output of a PV panel is DC voltage, a three-port inverter and a lithium-ion battery pack are integrated with the back of the PV panel. They are packaged as a PV system module that makes the module output have AC voltage. Therefore, an optimized AC-PV module can be a solution for residential and commercial use, which are grid-tied systems; it can be very efficient for those without access to electricity, which is an off-grid system. An integrated battery and thermal management strategy is crucial for this AC-PV module. In the article, the battery capacity optimization, the electrical and the thermal model of the battery pack, battery heat generation model are discussed by using stochastic analysis techniques; the battery test results are also obtained to identify the models’ parameters and a control algorithm is proposed to extract the battery information such as temperature, current, voltage, SoC and SoH of the battery pack.
How Shopping Platforms Play a Role in the Credit Card Industry
Authors: Zeng Sipeng
Published: March 2024

We develop a four-party model involving banks, merchants, consumers, and platform firms to explain why large shopping malls can offer interest-free installment services to consumers. Using a collaboration between an online shopping platform firm and multiple banks to issue co-branded credit cards as a natural experiment, we find that consumers’ spending on the platform fulfills the requirements for merchants and banks to choose a four-way model. This study highlights the pivotal role of platform firms in the credit card market.
Correction to: Determination of Reference Intervals of Biochemistry Parameters in healthy individuals in Gaziantep Province
Authors: Örkmez Mustafa , Tarakçıoğlu Mehmet
Published: March 2024

In the first published version of this article [1], the authors stated that "Funding: The authors declare no funding" was misspelled. This has been changed to "Funding: The study was supported by Gaziantep University Scientific Research Projects Unit with project number TF.11.36". The authors take full responsibility for this confusion, and they apologize for the confusion.
 
Publisher’s Note: The original article has been corrected, and a correction note was added.
The original article can be find online at; https://doi.org/10.58600/eurjther.20232902-1343.y
Development of Electronic Modules Based on Blended Learning Flipped Classroom in Arabic Language Subject Class X Nuraida Islamic Boarding School Bogor
Authors: Rinda Penta Eka Nova , Ibrahim Nurdin , Gatot Masitowati
Published: March 2024

Learning outcomes in Arabic language subjects in secondary schools are still low, so effective teaching materials are needed to improve Arabic language learning outcomes. The study aims to develop and test the feasibility and effectiveness of developing electronic modules based on blended learning flipped classroom in class X Arabic subjects at Nuraida Islamic Boarding School Bogor. The study uses a development model Borg and Gall which is integrated with the Rowntree model. To test the feasibility of the researcher using validation from media experts, design experts and material experts and also considering the results of user responses from teachers and students. From the results of the feasibility test carried out by material experts at 81.33%, instructional design/media experts at 90%, teacher users at 90% and student users at 95%. Overall, the category was "very feasible". The results of the pretest and posttest data analysis show that the average pretest score of students is 52 and the average posttest score of students is 90, while the maximum average score is 70. Based on effectiveness testing using the N-Gain Score formula, a result of 0.8 was obtained in the high category or a percentage of 90. Per the conversion of the achievement level of the N-Gain score review results with a value of >76 which is categorized as effective. This means that the e-module developed is effective in improving student learning outcomes in Arabic language subjects. So, it can be concluded that the electronic module based on the blended learning flipped classroom in Arabic subjects that was developed is feasible and effective to use.
The Australian Counselling Profession in 2030: An Educator’s Perspective
Authors: Beel Nathan
Published: March 2024

This paper explores the current and future status of the counselling profession in Australia. It reviews the progress and challenges of the profession in terms of recognition, regulation, training, and research. Envisioning a successful future, it attempts to describe that future and how the profession succeeded in accomplishing its goal of full recognition. The paper aims to stimulate ideas and discussions among counsellors and stakeholders to achieve a unified, consistent, and recognised profession that can meet the contemporary needs of Australian society.
Implementation of K-Nearest Neighbor using the oversampling technique on mixed data for the classification of household welfare status
Authors: Djafar Nur Mutmainnah , Fauzan Achmad
Published: March 2024

Welfare is closely related to poverty and the socio-economic disparities in a society. Based on data from the Central Bureau of Statistics, Kulon Progo in Indonesia had the highest poverty rate in the province of the Special Region of Yogyakarta; an increasing trend was observed every year from 2019 to 2021; Kulon Progo also had a low poverty line (after Gunung Kidul) compared to other regencies/cities in this province. This study aimed to classify the household welfare status in Kulon Progo in March 2021 using the K-Nearest Neighbor (KNN) method. Since imbalance was found between the poor and non-poor classes, an oversampling technique was employed. Imbalanced data affect classification, particularly when predicting the results of the classification. The following oversampling techniques were employed in this study: Random Oversampling (RO), the Adaptive Synthetic (ADASYN) and the Synthetic Minority Oversampling Technique (SMOTE). It was found that, of the three techniques, RO was the most efficient with k = 5, which yielded the best performance in terms of sensitivity, specificity, the G-mean, and accuracy reaching 0.643, 0.805, 0.719, and 78.873%, respectively. Therefore, it can be concluded that the classification model performed well enough to classify household welfare status, especially among the poor (minority class).
Estimation of quantiles with the exact bootstrap method
Authors: Kisielińska Joanna
Published: March 2024

A problem with the estimation of quantiles occurs when the sample comes from an unknown distribution. The estimation uses the bootstrap method in the version that the literature refers to as exact. Three bootstrap estimators were used: two of them based on one order statistic, and the third on a linear combination of two order statistics (for an integer). The distribution of the exact bootstrap estimator based on a single order statistic is known. It has been shown that there is no general form of the distribution of the exact bootstrap estimator based on two order statistics. However, it is possible to calculate such a distribution – the article presents the algorithm that performs such a task. The bootstrap confidence intervals were constructed using the exact percentile method. It has been shown that if the estimator is based on a single order statistic, it is known in advance which elements of the primary sample are the limits of the confidence intervals, so there is no need to resample. The intervals determined by the exact percentile method were compared with those constructed using other methods. It has been shown that the information on the direction of the asymmetry of the distribution that the sample comes from is worth considering when selecting the rank of the order statistic used as an estimator. Attention is paid to the influence of the quality of the pseudorandom number generators on the results of the Monte Carlo simulation.
Composite estimators for domain estimation and sensitivity performance interval of their weights
Authors: Kant Rai Piyush , Singh Sweta
Published: March 2024

Some composite estimators based on various combinations of two different existing estimators are obtained for domain estimation. The estimation of weights and thus obtaining optimum weights to combine two or more different existing direct and indirect estimators to form composite estimators are not an easy task for practitioners due to many reasons. To account for the absence of optimum weights, we obtained the sensitivity performance intervals for weights with respect to the proposed composite estimator. Subsequently, we determined the sensible values of the involved weights. The aim of this procedure was to confine the superiority for different composite combinations i.e., simple direct vs. direct ratio, simple direct vs. synthetic ratio and direct ratio vs. synthetic ratio composite estimators as compared to the existing estimators.
Strategi Penerapan Ilustrasi Cerita Ber-Pathos Pada Kotbah dalam Kitab 2 Samuel 12:1-13 dan Implementasinya Bagi Pengkotbah Masa Kini
Authors: Senas Audi Oktavian , Baskoro Paulus Kunto
Published: March 2024

Preaching is a means created by God to communicate His purpose to His people, as the function of the Bible is written in 1 Timothy 3:16, to teach, state mistakes, correct behavior, and educate people in truth. Likewise the role of the goal of a sermon. However, there has not been an effective preacher in conveying the message of God’s Word. Every preacher has a unique method, way and style of communication his sermon, both verbally and non-verbally, but the purpose of a sermon is to transform new life the congregation or listeners, as the Holy Spirit does. The aims of this research are : First, a theological study of the use of the story by the Prophet Nathan to David in the text of 2 Samuel 12:1-13. Second, the preacher can discover biblically about the role and effectiveness of illustratations in the form of stories that have the power of pathos. Third, the preacher, the application of the use of illustrations in the form of stories in achieving the goals of preaching in the church today.AbstrakKhotbah adalah sebuah sarana yang diciptakan oleh Allah untuk mengkomunikasikan tujuan-Nya bagi umat-Nya, sebagaimana fungsi Alkitab yang tertulis dalam 1 Timotius 3:16, untuk mengajar, menyatakan kesalahan, memperbaiki kelakukan, dan mendidik orang dalam kebenaran. Demikian juga peran tujuan dari sebuah khotbah. Setiap pengkhotbah memiliki metode, cara dan gaya yang khas dalam mengkomunikasi khotbahnya, baik secara verbal dan non verbal, namun tujuan sebuah khotbah adalah mentransformasikan kehidupan baru dalam diri jemaat atau pendengarnya, seperti yang dikerjakan Roh Kudus.  Tujuannya penelitian ini, yaitu: Pertama,merupakan sebuah kajian teologis mengenai penggunaan cerita oleh Nabi Natan kepada Raja Daud dalam teks 2 Samuel 12:1-13. Kedua, pengkhotbah dapat menemukan secara biblika mengenai peran dan keefektifan ilustrasi dalam bentuk cerita yang memiliki kekuatan pathos. Ketiga, pengkhotbah, pengaplikasian penggunaan ilustrasi bentuk cerita dalam pencapaian tujuan khotbah di gereja dan jemaat  masa kini.
Impact of developed software package application for the operation and maintenance management on improving the vehicle fleet energy efficiency
Authors: Petrović Nikola , Vujanović Davor
Published: March 2024

In order to improve the energy efficiency of the vehicle fleets, many countries have introduced laws, regulations and politics that encourage the use of vehicles with lower fuel consumption and lower emissions of harmful gases. Also, many companies have adopted strategies for lowering emissions of harmful gases, maintenance costs and vehicle exploitation, including the use of software packages for operation management and maintenance of vehicle fleets. On the international market there are numerous of already made software packages for the operation management and maintenance of vehicle fleets. Some of the companies, having in mind the specificity of business or vehicle exploitation, have decided to develop their own software packages for operation management and maintenance of vehicle fleets. One of them is the company "SRBOLAB" LLC. This paper analyzed the impact of the developed software package on the energy efficiency of the company's vehicle fleet. Firstly, it describes the structure of the developed software package, and after that, applied measures next to the software package, in order to improve energy efficiency and obtained results in the form of an analysis of the energy efficiency of the observed vehicle fleet before and after the implementation of software and measures. Analysis has shown that, regardless of the increased business, the total fuel consumption (l) and mileage (km) are higher after the implementation of software, as well as the energy efficiency of the observed vehicle fleet per CE groups which is reduced to specific fuel consumption (l/100km). Obtained results show that the differences in the specific fuel consumption (l/100km), before and after the implementation of software per CE groups, are in the range of 0,32 l/100km to 1,26 l/100km, in other words, fuel savings are from 4,1 % to 16,8%, if you look at this in percentages. Obtained results in comparison to the size, spent fuel (l), are showing savings in the range of 89 l to 342 l. Total fuel savings (l) for the observed vehicle fleet in the period of January to April 2023 is 626 l.
Language policy implementation challenges in postcolonial anglophone Africa: A case of Limpopo Provincial Legislature in South Africa
Authors: Madima Shumani Eric , Morris Thembani Babane Morris Thembani , Klu Ernest Kwa
Published: March 2024

This paper sought to investigate the challenges that Limpopo Provincial Legislature encounters implement the language policy in a postcolonial Anglophone South Africa. The Constitution of the Republic of South Africa, Act 108 of 1996, demands that each province should develop its own language policy (The Constitution of the Republic of South Africa, 1996). The Limpopo Provincial Legislature adopted its Language Policy, Act 7 of 2000, acknowledging Northern Sotho (Sepedi), Afrikaans, English, Tshivenda, Xitsonga, and IsiNdebele as the official languages. The Act provides more details on the use of official language in executive council meetings, in public communication and in service delivery. The main research question was to what are the challenges in the implementation of the language policy at Limpopo Provincial Legislature? The study employed qualitative research method and data collection tool that was utilized was semi-structured interview. The population of the study were all 48 Members of the Provincial Legislature (MPLs). Semi-structured interviews were conducted until saturation was reached after 13 (thirteen) members were interviewed. The data collected were analyzed using Thematic Analysis (TA) technique where research questions were used as themes. The study's main finding revealed that Limpopo Provincial Legislature is partially implementing the language policy since English remains the main language used in debates, engagements, and written documents above other official languages.
Development of metal free biochar based material for water electrolysis hydrogen production using anion exchange membrane: Creating circular economy
Authors: KrishnaBhonagiri Gopi , Roy Chandrima , V Himabindu , ChakraCH Shilpa
Published: March 2024

In recent days, a steady growth is being noted in hydrogen energy field owing to the global rise in population and increased energy demand. Fast depletion of fossil-based fuels and climate change issues are driving nations towards exploring an alternate energy resource. Hydrogen energy is one such an option owing to availability of simple and cost intensive technology involvement. Alkaline water electrolysis is one of the simplest ways of producing hydrogen utilizing renewable energy and oxygen as the only byproduct thus not contributing to carbon footprint. However, immediate attention is needed to minimize the cost of electrolyzer components, maintenance and energy. Commercial proton exchange membrane water electrolyzers (PEM) in market employ large capital cost due to high-priced Nafion and other PFSA membranes, titanium endplates and noble metal-based electrocatalysts. As a consequence, researchers are looking into the usage of Anionic exchange membrane (AEM) for water/alkali based electrolyzer for producing hydrogen with non-noble metal electrocatalysts and low-cost metal end plates. In this article a waste coconut shell derived biochar is explored as the carbon matrix for base of electrocatalysts to replace other high-cost carbon support for electrocatalyst in water electrolyzer. The structural and electrical properties of the coconut shell biochar are studied and compared with other available carbon supports. To deep drive in the electrolyzer performance this approach is further extended to MEA (Membrane Electrode Assembly) level to study the metal free electrocatalyst behavior in real-time environmental conditions.
Study of vinyl group effect on thermal and mechanical properties of some polymers and silicone rubber
Authors: ImadRezakalla Antypas , Gennadyevech1Dyachenko Alexey
Published: March 2024

The research presented in this article has focused on the identification of the potential use of two methods: weight change analysis and swelling-weight balancing, to study polymer and silicone rubber samples at consistent temperatures for an extended period. This ensures the stability of these materials for future industrial applications. Throughout the research, it was determined that these methods allow for simultaneous observation of various processes to which the samples were exposed, including degradation and thermal oxidation. The analysis of the obtained results has indicated that a sample made of methylvinylsilicon rubber containing 2% vinyl by weight exhibited superior properties compared to other samples. These properties include a decrease in the rate of rubber chain bond breakage, resistance to various solvents, and improved mechanical characteristics.
The Influence of Interactive Learning Media Usage on Student Learning Motivation in Islamic Religious Education at Elementary Schools
Authors: Saputra Dedi
Published: March 2024

In the realm of elementary education, particularly in the context of Islamic Religious Education (IRE), the integration of interactive learning media has emerged as a promising strategy to enhance student engagement and motivation. This study investigates the impact of utilizing interactive learning media on student learning motivation in IRE at the elementary level. Employing a qualitative approach, this research conducts an extensive literature review and library research to explore existing studies, theories, and models related to interactive learning media and student motivation. The findings reveal that the integration of interactive learning media in IRE instruction positively influences student learning motivation. Interactive media, such as educational games, multimedia presentations, and virtual simulations, offer dynamic and engaging learning experiences, stimulating students' interest and intrinsic motivation. Furthermore, interactive learning environments provide opportunities for active participation, collaboration, and personalized learning, catering to diverse learning styles and preferences among elementary students. The utilization of interactive media fosters a sense of autonomy, competence, and relatedness, which are key components of self-determination theory and motivational frameworks. This heightened motivation leads to increased attentiveness, enthusiasm, and persistence in learning IRE topics. The implications of these findings underscore the importance of integrating interactive learning media into IRE pedagogy to cultivate a supportive and motivating learning environment for elementary students. This research contributes to the existing literature by highlighting the significant role of interactive media in promoting student motivation and engagement in religious education contexts.