bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resiliensi pada guru: Bagaimanakah peranan kesejahteraan psikologis?
Authors: Belinda Naomi Bella , Efendy Mamang , Rista Karolin 
Published: December 2024

Abstract
This study aims to determine the relationship between resilience and psychological well-being in teachers at SMAN Olahraga. The hypothesis proposed is that there is a positive relationship between resilience and psychological well-being in teachers. This research uses correlational quantitative method. The research was conducted on 24 respondents with the criteria of teachers at SMAN Olahraga. The results of the data obtained were then analyzed using Product Moment correlation with the help of SPSS 25 for Windows. The results showed that the hypothesis was accepted that there was a significant positive relationship between resilience and psychological well-being in teachers. The results obtained indicate that resilience is closely related to psychological well-being. The higher the resilience, the higher the psychological well-being in teachers. Conversely, if resilience is lower, psychological well-being is also lower.

Abstrak
Penelitian ini bertujuan untuk mengetahui hubungan antara resiliensi dengan kesejahteraan psikologis pada guru di SMAN Olahraga. Hipotesis yang diajukan adalah terdapat hubungan positif antara resiliensi dengan kesejahteraan psikologis pada guru. Penelitian ini menggunakan metode kuantitatif korelasional. Penelitian dilakukan pada 24 responden dengan kriteria guru di SMAN Olahraga. Hasil data yang diperoleh kemudian dianalisis menggunakan korelasi Product Moment dengan bantuan SPSS 25 for Windows. Hasil penelitian menunjukkan hipotesis diterima bahwa ada hubungan positif yang signifikan antara resiliensi dengan kesejahteraan psikologis pada guru. Hasil yang didapat mengindikasikan bahwa resiliensi berkaitan erat dengan kesejahteraan psikologis. Semakin tinggi resiliensi maka semakin tinggi kesejahteraan psikologis pada guru. Sebaliknya, jika resiliensi semakin rendah maka kesejahteraan psikologis juga semakin rendah.
Exercise on Crepitus in Knee Osteoarthritis: A Systematic Review and Meta-Analysis
Authors: Kovats Alexandre , Jones Matthew D. , Azzi Alexandra , Ho Darryl Ser Foong , Ram Adrian , Thom Jeanette M. 
Published: December 2024

ABSTRACT

Background
Crepitus is one of the primary symptoms of knee osteoarthritis (OA). Exercise and education are key components of evidence-based recommendations for management of OA. However, evidence if these approaches alter knee crepitus is limited. We aimed to determine if knee crepitus improves with exercise either alone or combined with education in healthy adults or people with early or established OA.

Methods
Five electronic databases (Embase, CINAHL, PsycINFO, PubMed, and SportDISCUS) were searched from inception to July 1, 2022, for studies of adults with knee crepitus who undertook exercise compared to nonexercise control. Data were analyzed using a random-effects meta-analysis. Risk of bias was appraised using the Cochrane tool.

Results
Seven studies of adults with established knee OA were included. All studies measured crepitus with the Knee Injury and Osteoarthritis Outcome Score (KOOS) subscale following varied exercise interventions, 3 of which included education. Compared with control, no effect of exercise on modifying knee crepitus was found (mean difference −0.01 (95% confidence interval = −0.23, 0.21) on the 0–4 KOOS subscale). Two studies were at low risk of bias. The others had some concern (n = 3) or high risk of bias (n = 2).

Conclusion
Based on studies with mixed risk of bias, knee crepitus is unlikely to change in individuals with established OA following exercise. Thus, exercise-based practitioners can provide reassurance to people who are concerned about crepitus that exercise should not exacerbate crepitus. Authors of future studies could explore the impact of crepitus on patient’s beliefs about and engagement with exercise.
Exercise Response Variation: Avoiding Hysteron Proteron
Authors: Kelley George A. , Kelley Kristi S. , Stauffer Brian L. 
Published: December 2024

ABSTRACT
Precision exercise medicine is currently one of the most important topics in the clinical exercise physiology field, including exercise-based cardiac rehabilitation (EBCR). A critical component of precision exercise medicine is an appropriate examination for true exercise-associated interindividual response differences (IIRDs) because of EBCR, something that has historically not occurred. As a result, misguided efforts aimed at determining potential moderators and mediators, including genetic interactions and unethical follow-up studies, can occur given that random- and within-subject variation is not accounted for. In this article, a description is provided on how to properly test for true exercise-associated IIRDs in original randomized controlled trials (RCTs) using the standard deviation of individual response (SDIR) approach before deciding on whether an additional examination and/or follow-up studies addressing potential moderators and mediators, including genetic interactions, are necessary. To provide greater readability for a wider audience, we intentionally minimized the use of statistical formulas. It is the hope that the guidance provided in this article will lead to wider adoption of the SDIR approach for examining true IIRDs in original RCTs of EBCR studies as well as spur continued research on this topic. Adherence to the proposed methods will help avoid false conclusions regarding potential moderators and mediators, including genetic interactions, as well as unneeded follow-up studies.
Klasifikasi Karakteristik Turnover Karyawan Menggunakan Algoritma C4.5
Authors: Andini Rany , Hardiyanti Dinna Yunika 
Published: December 2024

Turnover merupakan suatu Tindakan atau perilaku meninggalkan atau keluar karyawan dari sebuah organisasi atau perusahaan. Turnover dapat membawa dampak negatif bagi perusahaan seperti proyek dan target yang tertunda, pembubaran tim, kekurangan sumber daya manusia (SDM), kesulitan melakukan perekrutan untuk mencari kandidat degan berbagai kriteria dalam waktu singkat, hingga gangguan produktivitas tempat kerja. Tujuan penelitian yaitu mengetahui faktor utama dan karakteristik yang berpengaruh signifikan dalam turnover karyawan. penelitian dilakukan dnegan mengelola data turnover karyawan menggunakan teknik data mining klasifikasi dan menerapkan algoritma C4.5. Hasil modeling menghasilkan pohon keputusan dan role yang dapat dijadikan aturan dalam menentukan karyawan yang akan melakukan turnover. Hasil penelitian menunjukkan bahwa terdapat 8 atribut yang memeiliki pengaruh signifikan terhadap turnover karyawan yaitu Age, Monthly Billing, Monthly Rate, OverTime, YearsAtCompany, YearsInCurrentRole, YearsLastPromotion, dan DistanceFromHome. Model yang dihasilkan dalam penelitian memiliki akurasi sebesar 81,63%.
Klasifikasi Sentimen Terhadap Kebijakan Tapera Menggunakan Komparasi Machine Learning dan SMOTE
Authors: Leidiyana Henny , Misriati Titik , Aryanti Riska 
Published: December 2024

The Indonesian government's Public Housing Savings Program (Tapera) aims to help low- and middle-income persons get housing financing. Although the initiative strives to satisfy housing requirements, the public has responded in a variety of ways, as evidenced by social media posts. The goal of this study is to examine public sentiment towards the Tapera policy using YouTube comment data to provide an overview of popular perspective. This study combines sentiment analysis with machine learning algorithms, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Multinomial Naïve Bayes (NB), and Decision Tree. The data is divided into three scenarios, namely 70% training data and 30% test data, 80% training data and 20% test data, and 90% training data and 10% test data. Data balancing is also performed with SMOTE. The performance evaluation is based on each algorithm's accuracy, precision, recall, and F1 Score values. The results showed that the SVM algorithm performed the best in all circumstances, with the greatest accuracy of 88% and an F1 score of 85%. The multinomial Naïve Bayes algorithm ranked second with steady accuracy, whereas KNN and Decision Tree had poorer performance. This suggests that SVM is the most effective method for processing sentiment data regarding Tapera policy.
Tribal and State Justice Systems in Contemporary Jordan
Authors: Kenny Patrick 
Published: December 2024

Abstract
Both the Jordanian state and Jordanian tribes have well-developed justice systems that appear to operate separately but are, in practice, often deeply enmeshed. This article examines these two systems and how they interact. It focuses on a case study—a murder in 2016—and how different actors approached its aftermath. This case provides an example of how both state and tribal justice systems can work in practice. Here, and notwithstanding efforts by some tribal leaders, government officials, and courts to limit, reject, or ignore tribal practices, state and tribal actors facilitate a role for each other while also maintaining their own authority in particular contexts. This adds to understandings of how different legal systems and sources of authority—tribe and state—can operate together, challenging any ostensibly neat categorisation of these systems.
Rebusque
Authors: Castelao-Huerta Isaura 
Published: December 2024

Abstract
This article explores how women full professors engage in practices of rebusque to try to offer conditions that can allow their students to conduct academic research. Thanks to the efforts of the professors, these students can finish their degrees despite the prevalent precarity and scarcity of government funds in Colombia. Mainly based on twenty-four semi-structured and in-depth interviews with women professors, this article argues that the main form of rebusque is through alliances, and it emerges as three practices: (1) being available to perform services required by public and/or private entities; (2) developing marketing strategies to obtain materials; and (3) cultivating relationships with colleagues to gain access to other laboratories through academic exchanges of their students.
Fortalecemos la seguridad ciudadana en el colegio el barrio y la comunidad. Guía para docentes
Authors: Cárdenas Macher Luis Daniel 
Published: December 2024

La “Caja de herramientas para una ciudadanía democrática” es una propuesta pedagógica que comprende materiales educativos para estudiantes, docentes y directivos de escuelas secundarias. Busca contribuir a la formación de una ciudadanía activa, comprometida con valores y principios democráticos, así como al desarrollo personal de las y los adolescentes a través de iniciativas creativas que faciliten la organización de proyectos en beneficio de sus comunidades.
Esta herramienta se sitúa en el área de Desarrollo Personal, Ciudadanía y Cívica (DPCC) del Currículo Nacional de la Educación Básica (CNEB) del Perú. Asimismo, involucra a las áreas de Comunicación y Arte y Cultura. Este material se ha implementado en diversas instituciones educativas públicas, en alianza con el Jurado Nacional de Elecciones (JNE) y Fe y Alegría del Perú.
Sus objetivos están enfocados en que las y los estudiantes:
•	Fortalezcan su ciudadanía activa, promoviendo su participación en la vida pública y su compromiso con los valores democráticos.
•	Desarrollen sus competencias para abordar los desafíos sociales y políticos de su entorno, que aporten en la construcción de una sociedad democrática, institucional y participativa.
•	Construyan una identidad personal que les permita reconocer sus intereses, valores y capacidades, y actuar de acuerdo con ellos.
The Influence of Co-Worker, Work Conflict, and Work Environment on Employee Perfomance (Case Study at PT Petindo Era Tangguh)
Authors: Lie Mei , Pujiarti Pujiarti 
Published: December 2024

The element of human resources is a crucial element in the success of a company. However, the aspect of human resources is often overlooked and its functions and roles within an organization are underestimated. Its presence is even considered a burden in the company because it only incurs expenses. By having good human resources, performance can be improved. The issues occurring at PT Petindo Era Tangguh include co-workers who are undisciplined, have poor ethics, exhibit individualism, lack cooperation, have low loyalty, and are unable to solve problems. Additionally, employees feel that the work environment is perceived as unsafe and uncomfortable, causing them to feel threatened and resulting in a decline in performance of employee. The goal of this research is to understand certain significant workplace conflicts, rekans, and kerja environments in relation to employee work at PT Petindo Era Tangguh in a parsial manner. Colleagues, work environment, and work conflict are the independent variables of this study, meanwhile employee performance is the dependent variable. The method used is a quantitative deskriptif approach that uses a kuesioner, observation, and wawancara. The outcomes of this study indicate that coworkers, work conflicts, and working conditions affect employee performance.
The Urgency of Cybercrime Law Reform in Indonesia: Resolving Artificial Intelligence Criminal Liability
Authors: Kurnia Dewi Anggraeny  , Mufti Khakim  , Muhammad Rizal Sirojudin  
Published: December 2024

The existence of AI is a separate system based on logic, where the information entered into the system will be processed with a programmed algorithm to determine a predetermined result. AI can cause various forms of harm to everyone, including its creator, and the harm it causes can have a long-lasting impact, considering that AI can make decisions similar to humans. The application of AI in the industrial sector will impact all existing systems, including the criminal justice system in all countries. Therefore, the legal regulation of cybercrime in Indonesia needs to be reformed to resolve criminal liability for criminal acts that AI can carry out. The formulation of the problem in this study is what is the urgency of updating cybercrime law in Indonesia. Furthermore, how is the legal policy on criminal liability for artificial intelligence resolved it. Thus, this study normative such as legal research carried out by examining library materials or data using statutory and analytical approaches. This study concludes and suggests that responsibility must be imposed on AI users and legal entities whose responsible parties are company directors. AI creators must also be responsible for the AI's actions. The renewal of cyber law in Indonesia is significant and should be done immediately, even in the Electronic Information and Transactions Law. Almost all institutional and personal documents are stored electronically; the state must also protect them. Other parties can then misuse these documents, which can be traded on the cyber black market and used irresponsibly. Illegal activities in cyberspace are also increasing, and the diversity of their actions with various skills is constantly increasing.
Farmers knowledge regarding safe handling and application of pesticides in rice crop
Authors: Shoaib Muhammad , Mahmood Ch. Khalid , Ashraf Ijaz , Akbar Nadeem 
Published: December 2024

Rice is one of the leading food crops in Pakistan and we conducted this study to explore farmers knowledge regarding the safe handling and application of pesticides on rice crop in rice growing district Shiekhupura of Punjab province. A total of 381 randomly selected rice growers were interviewed using a structured, validated and reliable interview schedule administered face-to-face. Collected data were analysed using Statistical Package for Social Sciences (SPSS). Results revealed that 58.5% of respondents were aged between 36 and 50 years, 25.2% o had completed middle-level education,40.4% had more than 25 acres of land, 60.9% were owners of their land and 50.6% had farming experience of 6-10 years. Around 45% reported not considering wind direction while spraying and 66% used mud/soil to clean their hands post-pesticide application. Around 73,2, 66.1 and 73.2% reported the use of goggles, 66.7% trouser suit, 66.1% face masks, 65.4% used boots and 6.6% used overalls for their safety. This study indicates an average level of knowledge and use of Personnel protective equipment (PPEs) against pesticides. However, there is still room to create awareness among those who are not utilizing the PPEs. Along with the dissemination of advisory services through group meetings, and the dissemination of information related to the safe use of pesticides the potential of social media platform and mainstream media can be used.
Sclerostin and OPG/RANK-L system take part in bone remodeling in patients with acromegaly
Authors: Halupczok-Żyła Jowita , Jawiarczyk-Przybyłowska Aleksandra , Bolanowski Marek 
Published: December 2024

IntroductionAcromegaly is a disease characterized by enhanced bone turnover with persistently high vertebral fracture risk. Sclerostin is a glycoprotein, which acts as an inhibitor of bone formation and activates osteoclast-mediated bone resorption. The osteoprotegerin (OPG)/receptor activator for the nuclear factor κ B ligand (RANK-L) system is crucial for controlling bone metabolism.ObjectiveThe study aimed primarily at evaluating sclerostin, OPG, and RANK-L concentrations in patients at different stages of acromegaly activity. The secondary aim was to identify an association of sclerostin with the OPG/RANK-L system and bone mineral density (BMD).Materials and methodsThe study enrolled 126 patients aged 40 to 80 years, including 72 patients with acromegaly and 54 controls (CG). The acromegaly patients were further classified into the following subgroups: active acromegaly (AA), controlled acromegaly (CTA), and cured acromegaly (CA). Blood samples were taken from the participants to measure sclerostin, OPG, RANK-L, growth hormone (GH), and insulin-like growth factor-1 (IGF-1). Dual-energy X-ray absorptiometry was performed at the lumbar spine and hip.ResultsSignificantly lower sclerostin concentrations were observed in acromegaly patients compared with CG (AA, CTA, CA, CTA+CA, AA+CTA+CA vs CG; p &lt; 0.001). Significant differences in OPG concentrations were revealed between the following groups: CTA vs CA (p=0.002), CTA vs CG (p&lt;0.001), CTA+CA vs. CG (p&lt;0.001), and AA+CTA+CA vs. CG (p&lt;0.001). There were no significant differences in RANK-L concentrations between studied groups, regardless of the adopted classification (p&gt;0.05). There were no statistically significant correlations between sclerostin and GH/IGF-1 or BMD. In the AA+CTA+CA group, there was a statistically significant positive correlation between SCL and OPG concentrations (r=0.271; p=0.022). A significant negative correlation between SCL and RANK-L was found in the AA group (r=-0.738; p=0.046).ConclusionsPatients with acromegaly have lower sclerostin concentrations than healthy controls, which may be a result of a compensatory mechanism to increased bone loss. The influence of the GH/IGF-I axis on bone remodeling may be mediated in part by the OPG/RANK-L system. The interaction between SCL and OPG/RANK-L system in acromegaly should be further elucidated.
Identification and validation the predictive biomarkers based on risk-adjusted control chart in gemcitabine with or without erlotinib for pancreatic cancer therapy
Authors: Zhao Aijun , Tu Dongsheng , He Ye , Liu Liu , Wu Bin , Ren Yixing 
Published: December 2024

BackgroundIn a randomized clinical controlled trial (PA.3) conducted by the Canadian Cancer Trials Group, the effects of gemcitabine combined with the targeted drug erlotinib (GEM-E) versus gemcitabine alone (GEM) on patients with unresectable, locally advanced, or metastatic pancreatic cancer were studied. This trial statistically demonstrated that the GEM-E combination therapy moderately improves overall survival (OS) of patients. However, real-world analysis suggested that GEM-E for pancreatic cancer was not more effective than GEM. The heterogeneity in outcomes or treatment effect exist. Thus, we tried to find predictive biomarkers to identifying the heterogeneous patients.MethodsOf the 569 eligible patients, 480 patients had plasma samples. Univariate and multivariate Cox proportional hazards model were used to identify baseline characteristics related to OS, and a risk adjusted Exponentially Weighted Moving Average (EWMA) control chart based on a weighted score test from the Cox model was constructed to monitor patients’ survival risk. Maximally selected rank statistics were constructed to identifying the predictive biomarkers, in addition, a risk adjusted control chart based on a weighted score test from the Cox model was constructed to validating the predictive biomarkers, discover the patients who sensitive to the GEM-E or GEM.ResultsThree baseline characteristics (ECOG performance status, extent of disease, and pain intensity) were identified related to prognosis. A risk-adjusted EWMA control chart was constructed and showed that GEM-E did improve OS in a few patients. Three biomarkers (BMP2, CXCL6, and HER2) were identified as predictive biomarkers based on maximum selected rank test, and using the risk-adjusted EWMA control chart to validate the reality and discover some patients who are sensitive to the GEM-E therapy.ConclusionIn reality, GEM-E has not shown a significant advantage over GEM in the treatment of pancreatic cancer. However, we discovered some patients who are sensitive to the GEM-E therapy based on the predictive biomarkers, which suggest that the predictive biomarkers provide ideas for personalized medicine in pancreatic cancer.
The phytohormone abscisic acid enhances remyelination in mouse models of multiple sclerosis
Authors: Van Gaever Femke , Mingneau Fleur , Vanherle Sam , Driege Yasmine , Haegman Mira , Van Wonterghem Elien , Xie Junhua , Vandenbroucke Roosmarijn E. , Hendriks Jerome J. A. , Beyaert Rudi , Staal Jens 
Published: December 2024

IntroductionOver the past few decades, there has been a sudden rise in the incidence of Multiple Sclerosis (MS) in Western countries. However, current treatments often show limited efficacy in certain patients and are associated with adverse effects, which highlights the need for safer and more effective therapeutic approaches. Environmental factors, particularly dietary habits, have been observed to play a substantial role in the development of MS. In this study, we are the first to investigate the potential protective effect of the phytohormone abscisic acid (ABA) in MS. ABA, which is abundant in fruits such as figs, apricots and bilberries, is known to cross the blood-brain barrier and has demonstrated neuroprotective effects in conditions like depression and Alzheimer's disease.MethodsIn this study, we investigated whether ABA supplementation enhances remyelination in both ex vivo and in vivo mouse models.ResultsOur results indicated that ABA enhanced remyelination and that this enhanced remyelination is associated with increased lipid droplet load, reduced levels of degraded myelin, and a higher abundance of F4/80+ cells in the demyelinated brain of mice treated with ABA. In in vitro models, we further demonstrated that ABA treatment elevates lipid droplet formation by enhancing the phagocytic capacity of macrophages. Additionally, in a mouse model of microglial activation, we showed that ABA-treated mice maintain a less inflammatory microglial phenotype.ConclusionOur findings highlight a crucial role for macrophages and microglia in enabling ABA to enhance the remyelination process. Furthermore, ABA’s ability to improve remyelination together with its ability to reduce microglial activation, make ABA a promising candidate for modulating macrophage phenotype and reducing neuroinflammation in MS.