bluuebunny/crossref_metadata_2025 huggingface dataset:
Analyzing Pathway Energy And Time Complexity In Flower Families Through Vertex-Disjoint Paths
Authors: R Jerlinkasmir , J. Veninstine Vivik
Published: January 2025

This research delves into the pathway energy framework for flower families, a class of simple connected graphs, whose path matrix p is constructed such that each entry pij quantifies the maximum number of vertex-disjoint paths. By analyzing the characteristic values of this matrix, we establish the pathway energy bounds specific to these flower graph families. Additionally, a comprehensive algorithm is developed to evaluate the time complexity across different flower family configurations, utilizing numerous trials to capture their average, maximum, and minimum computational behaviors. This analysis offers a comparative study of the structural intricacies that lead to increased computational complexity, highlighting which graph topologies tend to impose higher algorithmic challenges. The proposed method introduces a refined and adaptable approach, deepening the exploration of characteristic graph properties and their computational impact, thereby expanding the practical applications of these findings in graph theory.
Practical Research on Machine Vision Technology in Automated Inspection of Precision Components in Intelligent Manufacturing
Authors:   University of East London Singapore Campus, 069542, Singapore, Ge Zongqi
Published: January 2025

This study develops a stereoscopic vision system using a two-camera calibration method and BP neural networks combined with genetic algorithms to measure precision component dimensions. Images are processed using edge detection and Hough transform algorithms, and a machine vision-based inspection model is constructed. Bearing components are used as the research object to detect dimensions, edges, geometric parameters, and loose components under six angles. Maximum measurement deviation is 0.04 mm, and edge detection results are clear and concise. Geometric parameter deviations remain within [-5%, 5%], achieving high recognition accuracy. The detection model’s classification accuracy is 97.49%, with verification accuracy at 98.01%. Comprehensive false detection and leakage rates are 1.03% and 0.46%, respectively. The model demonstrates superior detection performance across various angles for bearing components.
On Radenković and Gutman Conjecture for certain Classes of Trees
Authors:   Department of Mathematics, Abbattabad University of Science and Technology, Pakistan, Maryam Afeefa , Rahim M. Tariq ,   Department of Mathematics, Abbattabad University of Science and Technology, Pakistan, Hussain Fawad ,   Department of Mathematics, Abbattabad University of Science and Technology, Pakistan
Published: January 2025

The Radenković and Gutman conjecture establishes a relationship between the Laplacian eigenvalues of any tree \(T_n\), the star graph \(S_n\), and the path graph \(P_n\), i.e., \({LE}(P_n) \leq {LE}(T_n) \leq {LE}(S_n).\) In this paper, we prove this conjecture for a class of trees with \(n\) vertices and having diameter \(16\) to \(30\).
Optimization of Ideological and Political Education Path and Evaluation of Teaching Effect in Universities Based on Intelligent Computing Model
Authors:   Nanjing Normal University of Special Education, Nanjing 210000, Jiangsu, China, Xu Cong , Xie Jingjing ,   School of International Business, Hainan College of Foreign Studies, Wenchang 571321, Hainan, China
Published: January 2025

Over the past two decades, with the support of the Party and the state, universities have established educational principles integrating curriculum reform, teaching beliefs, and political theories. Despite significant progress in ideological and political theory research, challenges remain that hinder sustainable development. This paper leverages a computerized algorithmic model of complex information networks to explore the intersection of scientific and humanistic approaches in education. By combining these methods, the study provides an optimized knowledge and political model for university education and analyzes its credibility. Empirical results indicate that the proposed model achieves a 91% accuracy rate. The improved model enhances the intellectual and political vitality of university theoretical courses, strengthens educational principles, and ensures the quality of university education.
\(e\)-Injective Coloring: \(2\)-Distance and Injective Coloring Conjectures
Authors:   Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran, Mirdamad Shahrzad. S. , Mojdeh Doost Ali ,   Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran
Published: January 2025

An injective coloring of a given graph \(G = (V, E)\) is a vertex coloring of \(G\) such that any two vertices with a common neighbor receive distinct colors. An \(e\)-injective coloring of a graph \(G\) is a vertex coloring of \(G\) in which any two vertices \(v, u\) with a common edge \(e\) (\(e \neq uv\)) receive distinct colors; in other words, any two end vertices of a path \(P_4\) in \(G\) achieve different colors. With this new definition, we want to take a review of injective coloring of a graph from the new point of view. For this purpose, we review the conjectures raised so far in the literature of injective coloring and \(2\)-distance coloring, from the new approach of \(e\)-injective coloring. Additionally, we prove that, for disjoint graphs \(G, H\), with \(E(G) \neq \emptyset\) and \(E(H) \neq \emptyset\), \(\chi_{ei}(G \cup H) = \max\{\chi_{ei}(G), \chi_{ei}(H)\}\) and \(\chi_{ei}(G \vee H) = |V(G)| + |V(H)|.\) The \(e\)-injective chromatic number of \(G\) versus the maximum degree and packing number of \(G\) is investigated, and we denote \(\max\{\chi_{ei}(G), \chi_{ei}(H)\} \leq \chi_{ei}(G \square H) \leq \chi_{2}(G)\chi_{2}(H).\) Finally, we prove that, for any tree \(T\) (\(T\) is not a star), \(\chi_{ei}(T) = \chi(T),\) and we obtain the exact value of the \(e\)-injective chromatic number for some specified graphs.
Optimizing Adaptive Particle Swarm for Combined Fire and Storage Control FM Energy Reserve
Authors:   Industrial Engineering major at North China Electric Power University, NEPRI, Nanjing 210031, Jiangsu, China, Pan Yun , Ye Yike ,   Project Management at North China Electric Power University, NEPRI, Nanjing 210031, Jiangsu, China
Published: January 2025

The combination of thermal power units’ stability and energy storage systems’ rapid response time enhances power system frequency control. However, high costs and battery life impacts from charging/discharging strategies limit energy storage adoption. This study proposes an adaptive weight-based particle swarm optimization algorithm (APSO) to optimize energy storage control for joint thermal-storage frequency modulation (FM). By analyzing the coupling between state of charge (SOC) and charging/discharging power, the study implements “shallow charging and discharging” with dynamic SOC constraints. The improved PSO algorithm integrates adaptive weighting to overcome local optimal convergence, enhancing global search capabilities and particle migration. Simulation results, based on real-world power plant data, show improved FM accuracy, faster regulation, and reduced energy storage system loss, significantly boosting economic efficiency.
A Study on the Application of Data Mining-based Crime Prediction Models in Criminal Justice
Authors:   TC Beirne School of law, The University of Queensland, Brisbane, Queensland, 4072, Australia, Zhao Liupeng
Published: January 2025

With the social progress and technological development, China’s criminal activities gradually show the characteristics of specialization, networking, and hotspotting, which leads to the phenomenon of high incidence but low detection rate, and the prediction of the criminal phenomenon is particularly important. In this paper, we construct a graph self-encoder, and derive the formula of the GAE loss function from the corresponding reconstructed neighbor matrix and node feature loss function of GAE. The spatial channel attention mechanism is introduced to improve the performance of the model, and the time window dimension is mapped to the perceptual self-attention module, and the objective function is constructed by generating a collection of crime matrices for future time windows. A multi-raster layer analysis model is added to optimize the model, generate a risk map of criminal activities, quantify the risk value of each element, and form a spatio-temporal prediction effect. Comparison experiments are used to analyze the optimization effect of the model, and the absolute error of the optimized model is no more than 0.05 for four types of cases. The prediction results of the cases of property invasion in different time periods show that the number of cases occurring in the early hours of the morning is 508, and the average PEI index is 0.19, which is smaller compared with other time periods.
Preservers of Graph and Digraph Cordiality
Authors:   Clocktower Plaza#317, 550 North Main, Box C3 Logan, Utah 84321, USA, Beasley LeRoy B.
Published: January 2025

An undirected graph is said to be cordial if there is a friendly (0,1)-labeling of the vertices that induces a friendly (0,1)-labeling of the edges. An undirected graph \(G\) is said to be \((2,3)\)-orientable if there exists a friendly (0,1)-labeling of the vertices of \(G\) such that about one-third of the edges are incident to vertices labeled the same. That is, there is some digraph that is an orientation of \(G\) that is \((2,3)\)-cordial. Examples of the smallest noncordial/non-\((2,3)\)-orientable graphs are given, and upper bounds on the possible number of edges in a cordial/\((2,3)\)-orientable graph are presented. It is also shown that if \(T\) is a linear operator on the set of all undirected graphs on \(n\) vertices that strongly preserves the set of cordial graphs or the set of \((2,3)\)-orientable graphs, then \(T\) is a vertex permutation.
Strategi Pencegahan Cybercrime pada Data Pribadi di Media Sosial
Authors: Dinda Munifah Marpaung
Published: January 2025

The development of information and communication technology in the digital era has a significant impact on the protection of personal data on social media. Rapid digitization not only facilitates data distribution and storage, but also increases the risk of cybercrime such as data theft, hacking, phishing and cyberbullying. This study aims to analyze effective prevention strategies in protecting personal information on social media. Using a qualitative approach through literature studies, questionnaires, as well as data analysis from trusted sources such as scientific journals and articles accessed through Google Scholar and Mendeley, this research found that users' awareness of personal data security is still low. The results show that many users have not implemented adequate preventive measures, such as changing passwords regularly or utilizing security features provided by social media platforms. Proposed prevention strategies include user education, strong password enforcement, account privacy settings, and increased awareness of cyber threats.
The Application of ChatGPT in Chinese as a Second Language Teaching
Authors: Xu Yue , Lai Chi Shing
Published: January 2025

This study explores the potential application of ChatGPT in designing customized instructional plans for Chinese as a Second Language (CSL) teaching, particularly for non-Chinese-speaking (NCS) students in Hong Kong. Through two rounds of comparative experiments, the study examines the effectiveness of AI-generated teaching designs compared to expert-designed versions. The results demonstrate that while ChatGPT-generated designs initially exhibit some limitations, its advanced versions show considerable promise in assisting teachers with task-based language teaching (TBLT), offering practical and culturally relevant tasks tailored to diverse learners. ChatGPT's ability to self-learn, refine its outputs, and generate personalized lesson plans not only improves instructional efficiency but also enhances learner engagement. Additionally, ChatGPT’s widespread application has the potential to address educational inequities by providing accessible support to teachers, thus reducing disparities in instructional quality. The study concludes that, while AI cannot fully replace teachers, ChatGPT can serve as a valuable supplementary tool that complements human expertise, especially in the context of culturally and linguistically complex L2 teaching. It also emphasizes the importance of ethical considerations and the need for teachers to critically engage with AI technology to maximize its benefits in education.
A Study on the Accessibility and Dissemination of Bilingual Chinese Culture Readers for Adolescents from the Perspective of English Glocalization
Authors: Su Yujie , Dai Yuqing , Li Xinping
Published: January 2025

The dissemination of Chinese culture is closely related to the influence of national culture. Chinese culture readers serve as important carriers for cultivating global competence among young people and disseminating Chinese culture. They are also important measures to help different cultures eliminate cultural barriers. However, the current Chinese culture readers are of various kinds, seldom testing the readability and rarely taking consideration of the target readers’ accessibility. Therefore, this study explores the factors affecting the readability of different Chinese culture readers from the perspective of English global localization, aiming to explore the ways and methods to enhance the dissemination of Chinese culture. Meanwhile, it conducted a survey on the target readers’ competence in language learning and culture awareness.
Analisis Pemahaman Guru Sekolah Dasar Terhadap Kurikulum Merdeka
Authors: Lubis Syamsidah , Nurul Izza Nadeak
Published: January 2025

Tujuan dari penelitian ini adalah menganalisis pemahaman tenaga pendidik (guru) SD pada Kurikulum Merdeka. Jenis penelitian dalam penelitian ini menggunakan studi kepustakaan. Yaitu dengan cara mengumpulkan jurnal atau artikel yang berkaitan dengan analisa pemaham guru SD dalam memahami kurikulum merdeka. Adapaun analisis penelitian yang telah dilakukan adalah merangkum hasil data wawancara juga suber data kuantitatif dari jurnal-jurnal sebelumnya yang menjadi referensi disesuaikan dengan jenis penelitian setiap jurnal yang menjadi referensi penulis pada penelitian ini. Penelitian ini menunjukkan hasil bahwa guru sudah memahami mengenai esensi dari Kurikulum Merdeka. Namun masih kurang paham dalam hal mengimplementasikan kurikulum merdeka dalam pembelajaran karena disebabkan oleh beberapa hal. Namun juga dari hasil penelitian mendapati bahwa ada sekolah yang guru-gurunya sudah sangat paham mengenai kurikulum Merdeka juga sudah mampu dalam mengimplementasikan kurikulum merdeka dalam pembelajaran. Pemahaman tersebut didapati melalui pembelajaran melalui berbagai situs Kemendikbudristek.
Pendekatan Pembelajaran Majemuk untuk Meningkatkan Berpikir Kritis Siswa Kelas 5 Madrasah Ibtidaiyah Negeri
Authors: Rianto Nanang
Published: January 2025

Penelitian ini bertujuan mengkaji penerapan metode pembelajaran mejemuk untuk meningkatkan keterampilan berpikir kritis siswa kelas 5B MIN 2 Batam pada tahun ajaran 2024/2025. Berpikir kritis dianggap sebagai keterampilan penting yang harus dikembangkan pada siswa untuk memenuhi tuntutan pendidikan abad ke-21, siswa mampu menganalisis, mengevaluasi, dan memecahkan masalah secara efektif. Pendekatan pembelajaran majemuk dipilih karena kemampuannya untuk menggabungkan berbagai metode dan strategi pengajaran yang sesuai dengan kebutuhan siswa yang beragam. Studi ini menggunakan pendekatan kualitatif dengan metode studi kasus, mengumpulkan informasi melalui observasi, wawancara mendalam, dan analisis hasil kinerja siswa. Temuan menunjukkan bahwa penerapan pembelajaran majemuk meningkatkan keterampilan berpikir kritis siswa melalui aktivitas seperti diskusi kelompok dan analisis studi kasus, yang juga meningkatkan keterlibatan, motivasi, dan rasa percaya diri siswa. Keberhasilan pendekatan ini didukung oleh kesiapan guru dan lingkungan kelas yang kondusif. Penelitian ini merekomendasikan agar pembelajaran majemuk dipertimbangkan sebagai strategi efektif untuk mengembangkan keterampilan berpikir kritis siswa di sekolah, serta diharapkan dapat menjadi acuan bagi pendidik di MIN 2 Batam dan sekolah lainnya dalam meningkatkan kualitas pembelajaran.
In vitro efficacy of colistin against multidrug-resistant Pseudomonas aeruginosa in burn patient by minimum inhibitory concentration with broth dilution
Authors: Neelam Blossom , Malik Sumera , Naqvi Syed Muhammad Abbas , Khan Mahnoor Haidar , Javeed Mehvish
Published: January 2025

Background: Pseudomonas aeruginosa strains cause 86% of sepsis mortality in burn victims. Therefore, to combat the multi-drug resistance in Pseudomonas aeruginosa, colistin is the new drug, and it has recently been introduced. To analyze the in vitro efficacy of colistin against multidrug-resistant Pseudomonas aeruginosa in burn patients by determining the minimum inhibitory concentration with broth dilution.
Material And Methods: The cross-sectional study was performed from March 2021 to February 2022 in the Burn Centre at Nishter Hospital in Multan, Pakistan. 300 burn patients (≥20% burn) were selected, and their pus samples were collected and processed in the microbiology laboratory. The Kirby-Bauer disc diffusion method was applied to check the antibiotic susceptibility against isolated strains. The colistin sensitivity against multi-drug resistant (MDR) strains was estimated by employing the broth dilution method at two-fold serial dilutions from 0.5 µg/mL to 0.003 µg/mL.
Results: 124 (55.3%) strains were identified as Pseudomonas aeruginosa, while the remaining strains were identified as Escherichia coli (13.0%), Streptococci (13.0%), Klebsiella pneumoniae (8.9%), Staphylococci (6.6%), and Candida albicans (2.2%). All isolated strains of Pseudomonas aeruginosa showed resistance against antibiotics: aztreonam (60.4%), cefepime (72.5%), ceftazidime (71.7%), ciprofloxacin (62.0%), imipenem (33.0%), levofloxacin (58.0%), meropenem (19.3%), piperacillin/tazobactam (66.1%), and tobramycin (63.7%). The significantly calculated MIC value of colistin against MDR strains was 0.35-0.5 mg/L (CLSI and EUCAST recommended value = ≤2 mg/L).
Conclusion: Colistin can be a good option to treat nosocomial infections of MDR Pseudomonas aeruginosa in burn patients.
Keywords: Burn patients, Colistin, Multi-drug resistance, Minimum inhibitory concentration
Clinical characteristics, outcomes, area of work, and return to work of healthcare workers with COVID-19 infection: An experience of a tertiary care renal hospital in Pakistan
Authors: Farooqi Fizza , Qureshi Safia , Ahmad Aasim , Chishty Saeed
Published: January 2025

Background: The COVID-19 pandemic caused significant loss to healthcare systems across the world. Patients usually presented with fever and cough as the primary symptoms. This paper aims to discuss the clinical features, outcomes, areas of work, and duration of absence from work in employees working at a tertiary care renal hospital in Pakistan.
Material and Methods: Data of employees who were suspected of having COVID-19 was compiled and divided into waves according to the COVID-19 waves in Pakistan. The clinical characteristics and duration till return to work was calculated and compared among waves using Chi-square test.
Results: Five waves of COVID-19 were observed during the study. A total of 620 employees were tested during the waves, of which 216 (35%) tested positive. Of those who tested positive, most were healthcare workers (n=165 [76%], p-value <0.01). The most common symptom among positive cases was fever and least common was a combination of fever cough (p-value <0.01). The duration of absence from work dropped from a maximum of 43 days in the first wave to five days in the fifth wave. A total of 4763 employee days were lost during the pandemic.
Conclusion: Strict implication of safety protocols in the workplace followed by astute management strategies must be maintained. Now that the pandemic is nearly over, strategies to mitigate outbreaks in the hospital should be limited to screening employees with fever and cough to preserve resources and reduce employees’ absence from work.
Keywords: COVID-19, Healthcare workers, Absence of employees, Fever and cough, Duration of absence
Value of in-house viral transport medium in breaking the bottlenecks for viral testing in Pakistan
Authors: Adnan Fareeha , Khursheed Nazia , Khan Moiz , Khan Maira , Parveen Nazia , Khan Marium
Published: January 2025

Background: Maintenance of a steady supply of viral transport medium (VTM) for transporting clinical samples to the laboratory for viral testing is critical amid periods of viral outbreak. Hence, we prepared an in-house VTM and validated its capacity to preserve viral nucleic acids.
Material and Methods: We used Phosphate-buffered saline (PBS) supplemented with sterile glycerol and a combination of antibiotics viz. vancomycin, colistin sulphate, amphotericin B and trimethoprim lactate, for our VTM formulation. For stability, antimicrobial efficacy and sterility evaluation, representative samples from each batch were selected. To validate our VTM, we tested clinical nasal swab samples transported in commercially available (Copan Italia S.p.A.) and in-house VTM, and compared both the media for viral nucleic acid recovery using Reverse transcriptase-polymerase chain reaction (RT-PCR).
Results: A satisfactory evaluation of in-house VTM in terms of stability, antimicrobial efficacy and sterility was obtained. A total of 239 nasal swab samples were processed in both commercial and PBS VTM, of which 61 (25.5%) transported in commercial VTM were positive compared to 63 (26.4%) transported in PBS VTM. A comparison of Ct values in RT-PCR positive samples from both groups (n=61), showed Ct values of less than 25 in 14.7% samples from PBS VTM compared to 21.3% from commercial VTM. Whereas, more samples from PBS VTM (78.7%) compared to commercial VTM (73.8%) exhibited Ct values of more than 30. Our results showed that PBS VTM exhibited 100% sensitivity, 98.9% specificity, 96.8% positive predictive value and 100% negative predictive value.
Conclusion: Our in-house prepared VTM was successfully validated and offers a readily available, cost-effective, and simpler to prepare alternative for diagnostic laboratories in low resource settings.
Keywords: Viral transport medium, VTM, Viruses, RT-PCR
The Concept Of Learning Evaluation In The Perspective Of Tafseer Tarbawy
Authors: Wahidi Rosid , Abdussalam Aam , Surahman Cucu
Published: January 2025

This researchThe Concept of Learning Evaluation in the Perspective of Tafsir Tarbawi is an important study to conduct, as it is a mandatory component of educational activities and serves measure of the success of learning processes. Purpose of this research is to describe problems in the evaluation system as an educational component, explain concept of evaluation from the perspective of tafsir tarbawi, and outline procedures for organizing evaluations in educational institutions. This study employs qualitative approach with literature study method. Results and discussion reveal several issues in the implementation of evaluation systems, including indications of manipulation in reporting minimum competency scores, low synergy between teachers and parents, and suboptimal school work programs. Moreover, evaluation in the perspective of tafsir tarbawi encompasses several aspects, such as the meaning of evaluation, its objectives, functions, principles, and systems. Moreever, the procedures for organizing evaluations in educational institutions include planning, conducting assessments, monitoring, data processing, reporting, and utilizing evaluation results.
Diseño y Validación de un Instrumento para medir los beneficios de la implementación de la Industria 4.0 en el contexto de manufactura automotriz
Authors:   Universidad Autónoma de Baja California, Ceseña Romero Paola Itzel , García Rivera Blanca Rosa ,   Universidad Autónoma de Baja California, Olguín Tiznado Jesús Everardo ,   Universidad Autónoma de Baja California
Published: January 2025

La Industria 4.0 representa una revolución tecnológica que integra sistemas ciber físicos, el Internet de las cosas (IoT) y la computación en la nube para mejorar la eficiencia y productividad en los procesos industriales. En este contexto, la investigación sobre la implementación y adopción de estas tecnologías se ha vuelto crucial para entender su impacto y maximizar sus beneficios. Sin embargo, existe un vacío significativo en la literatura respecto a la evaluación precisa de los beneficios, desde el punto de vista de la sustentabilidad, la necesidad del cliente, calidad y la operacionalización, asociados con la Industria 4.0, especialmente en el contexto de la industria automotriz en México.
Construcción y validación de un instrumento de medición de la felicidad laboral, desempeño laboral y balance vida-trabajo
Authors:   Universidad Autónoma de Baja California, Gutiérrez Macías Alex Sandra , Nava Rubio Mayra Yesenia ,   Universidad Autónoma de Baja California, Vela Reyna Juan Benito ,   Universidad Autónoma de Baja California
Published: January 2025

En la actualidad, el contexto laboral se encuentra en una constante evolución que trae consigo nuevas y mayores demandas por parte de los trabajadores, por lo que resulta necesario contar con herramientas para evaluar de manera precisa y confiable la felicidad de los empleados, su desempeño y el balance entre la vida y el trabajo. Pese a que pueden encontrarse dentro de la literatura diversas escalas para medir estas variables, resalta la escasez de este tipo de mediciones e instrumentos dentro de un contexto nacional y local, lo que puede dificultar una buena comprensión de la realidad laboral que se vive en las organizaciones y la correcta implementación de prácticas para mejorar el bienestar de los trabajadores.
Desarrollo y Validación de una Escala de Calidad de Vida en el Trabajo en docentes Universitarios Post-COVID: Construcción y Propiedades Psicométricas
Authors:   Universidad Autónoma de Baja California, Cota Salgado Carmen Leticia , García Rivera Blanca Rosa ,   Universidad Autónoma de Baja California, Olguín Tiznado Jesús Everardo ,   Universidad Autónoma de Baja California
Published: January 2025

La pandemia de COVID-19 ha tenido un impacto profundo y duradero en todos los aspectos de la vida laboral, y los docentes universitarios no han sido una excepción. A medida que las instituciones educativas de todo el mundo se adaptaron rápidamente a la enseñanza en línea y a distancia, emergieron nuevos desafíos que han afectado significativamente la calidad de vida laboral (CVL) de los docentes. Este fenómeno ha generado un creciente interés en la investigación sobre cómo estos cambios han repercutido en el bienestar de los docentes universitarios. Autores recientes como da Silva et al., (2024) han destacado que la transición abrupta a la educación en línea ha incrementado los niveles de estrés y agotamiento entre los docentes, afectando su salud mental y emocional. Por su parte, Roca et al., (2022) han encontrado que la falta de interacción social y el aumento de la carga de trabajo han sido factores determinantes en la disminución de la CVL en este grupo profesional.
Fotografiar lo invisible
Authors: Erika Lorena , Hernández Amanda , Elena María
Published: January 2025

En
2022, ONU-Mujeres y CLACSO lanzaron una convocatoria para grupos de
investigación sobre “Cuidados y políticas públicas”, a la cual se postularon noventa
y dos proyectos que fueron evaluados por un Comité Internacional compuesto por
expertas de catorce países de nuestro continente y de Europa: Colombia,
Venezuela, México, Ecuador, Puerto Rico, Argentina, El Salvador, República
Dominicana, Guatemala, Cuba, Bolivia, Brasil, Uruguay y España. Los proyectos
ganadores fueron cinco, entre los que se cuenta la propuesta de tres docentes-investigadoras
de la Facultad de Ciencias Políticas y Sociales de la Universidad Autónoma de
Querétaro, bajo el título “Condiciones laborales de mujeres mexicanas que
cuidan a niñas, niños y adolescentes en casas hogar”. A través de un amplio
registro fotográfico este libro busca visibilizar a las personas que cuidan a
niños, niñas y adolescentes (NNA) en casas hogar del estado de Querétaro, y con
ello concientizar sobre la importancia del trabajo de quienes cuidan, siendo
una labor comprometida y crucial para las infancias sin cuidado parental.
INTEGRATING AI METHODOLOGIES IN FORECASTING MODELS FOR CLIMATE CHANGE PREDICTIONS
Authors: Abu Bakkar  , Ali Naheed , Abaid Dr. Talha
Published: January 2025

Background: The bringing in of Artificial Intelligence (AI) in the climate change forecasting models would help in producing more accurate forecast results and better the measures that are taken for mitigating it. However, the use of AI in this field has failed to meet certain technical and systemic barriers.
Objective: The objectives of this research will be to ascertain quantitatively the level of preparedness of the professionals towards the use of AI in deriving climate change forecasts, the level of resistance that professionals will exhibit in incorporating AI into their modeling, and how willing they are to use it in the same process.
Methods: An online and self-completion survey with a structured format was administered to 250 respondents of the four target populations of ML/AI users, climate scientists, and environmental policymakers. To analyze the data, basic descriptive statistics and inferential statistics were applied: Lilliefor tests to check for normal distribution, Cronbach’s Alpha coefficient of reliability, correlation, and regression analysis to check the relation between AI familiarity & confidence levels.
Results: The analysis of the data unveiled rather considerable fluctuations in the perceived efficiency of AI with the help of the Lilliefors test that pointed to the non-normality of the distribution. Cronbach’s alpha of 0. The reliability analysis of the AI-indexed perception questions showed low internal consistency in 046. Hypothesis three was not supported as statistical test results revealed that there is no medium to perfect positive correlation between the degrees of familiarity with AI on the one hand and confidence in the effectiveness of the same on the other hand. Some of the challenges to the integration of AI revealed from the survey include high costs and lack of support from the government, however many of the respondents indicated interest in adopting AI for sustainability initiatives.
Conclusion: The study also shows that despite the entice for the use of AI in climate change predictions, there a challenges such as lack of funds and poor support from institutions in its application. Furthermore, raising the awareness of AI alone implies that people’s confidence in the impact of this technique will not necessarily rise either. Combating all these barriers through financial investments, policy support, and well-documented AI applications might lead to better implementation of AI in climate science.
Prevalence of High Activated Partial Thromboplastin Time (aPTT) among Patients with Liver Cirrhosis Department of Medicine at Saidu Group of Teaching Hospital, Swat
Authors: Dr. Nisar Ahmad1  , Dr. Zahid Ahmad2  , Dr. Muhammad Nisar3  , Dr. Inayat Ul Haq4  , Dr. Jalwa5  , Dr. Fawad Nasir6
Published: January 2025

Introduction: Chronic liver disease or liver cirrhosis is a disease condition in which fibrosis and the creasing of the liver are not functioning correctly. The severity of cirrhosis depends upon the extent of liver failure. Advanced stages of liver failure that create an abnormal coagulation profile have increased the tendency towards bleeding and have consequently increased the hospitalization rates and mortality among cirrhotic patients. Activated partial thromboplastin time is a test that measures activity of Factors VII, IX, XI, and XII. An increased aPTT is due to decreased synthesis of measuring clotting factors in the sample indirectly decreases synthesis from the liver. Department of Medicine, Saidu Group of Teaching Hospital Swat Duration of study: From 13 August 2020 to 14 Feb 2021. Total 195 cases of cirrhosis are consecutively selected from OPD and activated partial thromboplastin time (aPTT). Results: The mean age of sample was 45.2 + 7.3 years. 68.2% was male gender while 31.8% is female gender. The mean duration of the disease was 7.1 + 2.5 years. The results showed acute decompensation in 34.9% and 30.8% had hospitalization history due to decompensation. Cardiac drug use history was present in 34.9%. The results further showed that 45.1% patients were diagnosed with prolonged aPTT. Conclusion: Prolongation of aPTT is a frequent problem in our local cirrhotic population. Further studies are needed to develop an association of factors that lead to the prolongation of aPTT, its control, and its effect on morbidity and mortality of patients with cirrhosis.
Keywords. Liver cirrhosis, coagulation disorders, activated partial thromboplastin time, acute decompensation
Fenomena Phubbing pada Mahasiswa
Authors: Siregar Siti Wahyuni
Published: January 2025

Phubbing adalah akronim kata Phone (telepon) dan subbing (menghina) yang artinya menghina seseorang dengan mengabaikannya demi menggunakan telepon genggam/ smartphone. perilaku phubbing dalam jangka waktu lama dapat mengakibatkan menurunnya kualitas interaksi sosial pelakunya. penelitian ini menggunakan metode content analisis. penelitian ini menemukan bahwa sejumlah faktor penyebab phubbing pada mahasiswa diantaranya technology addication, Fomo dan lack of self control. salah satu cara atau upaya yang bisa digunakan untuk mengatasi phubbing pada majasisswa adalah dnegan menggunakan layanan konseling kelompok dengan menggunakan metode teknik self management efektif.
Manajemen Pimpinan Pondok Pesantren Dalam Meningkatkan Mutu Pembelajaran di PPS Islamiyah Padang Bujur
Authors: Rijai Saipul
Published: January 2025

Penelitian ini membahas tentang Manajemen Pimpinan Pondok Pesantren dalam Meningkatkan Mutu Pembelajaran di PPS Islamiyah Padang  Bujur. Tujuan dari penelitian ini adalah untuk mengungkapkan informasi atau data berkaitan dengan manajemen Pimpinan Pondok Pesantren dalam meningkatkan mutu pembelajaran pada PPS Islamiyah Padang Bujur. Jenis penelitian ini bersifat deskriptif kualitatif dengan menggunakan wawancara, observasi, dan dokumentasi sebagai pengumpulan data. Menganalisis data dengan mengumpulkan data, mengelola data, kemudian mendeskripsikannya secara sistematis. Hasil dari manajemen Pimpinan Pondok Pesantren dalam meningkatkan mutu pembelajaran di PPS Islamiyah Padang Bujur adalah Pimpinan Pondok Pesantren mengadakan pertemuan untuk merencanakan program tahunan, lalu hasil pertemuan tersebut akan disosialisasikan kepada guru, siswa, orang tua dan komite sekolah. Kemudian dalam proses pembelajaran kepala sekolah menyarankan hal tersebut guru menggunakan metode bervariasi, disiplin masuk kelas jadwal, adanya akuntabilitas pekerjaan, peningkatan kinerja guru terhadap pembelajaran bisa dilihat melalui peningkatan kualitas pengajaran, peningkatan prestasi akademik, motivasi dan keterlibatan siswa, peningkatan keterampilan hidup, percaya diri dan motivasi siswa, dan peningkatan iklim sekolah yang positif.
Efektifitas Penerapan Kode Etik Mahasiswa di UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan dan Implikasinya pada Perilaku Sosial-Budaya Mahasiswa
Authors: Rafki Muhammad
Published: January 2025

AbstractThe purpose of this study is to evaluate the effectiveness of implementing the Student Code of Ethics in shaping the socio-cultural behavior of students at the State Islamic University (UIN) Syekh Ali Hasan Ahmad Addary Padangsidimpuan. This research employs a qualitative approach with a descriptive method. The findings indicate that the implementation of the Student Code of Ethics at UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan has not yet fully succeeded in transforming students' socio-cultural behavior. This is due to the suboptimal enforcement of sanctions for violations of the code. Another obstacle is the lack of a consistent understanding among lecturers and staff regarding academic services for students. The results of this study can serve as a contribution to the institution, particularly for the vice-rectors in charge of student affairs and the deputy deans responsible for student affairs.Keywords: Effectiveness; Student Code of Ethics; Socio-Culture.
Implementasi Metode Cerita Pada Pembelajaran Sejarah Kebudayaan Islam di MTsN 4 Mandailing Natal
Authors: Rambe Muhammad Asro'i , Zulhimmah Zulhimmah , Khan Sofyan Siregar , Harahap Azwar , Siregar Balyan Oslerking
Published: January 2025

This article aims to understand how a teacher can implement the story method in Islamic cultural history subjects. This research uses a qualitative approach to get an overview of the events. For the research results, in this case, a teacher to implement the storytelling method must pay attention to the steps, the first step is the planning step, which consists of the teacher having to prepare, a syllabus, and lesson plan, provide motivation, and arrange the students' seats, for implementation, which consists of, the place to tell the story, sitting position, the character's intonation, emotional display, and voice imitation
Targets and Role of Natural Products in the Prevention of Breast Cancer: Comprehensive Review
Authors: Shreya Mesta , Priya Shetti , Ankita Chougala , Spoorti Patil , Deepa Mane
Published: January 2025

Over 2.3 million new cases of breast cancer were reported in 2022, and the disease claimed 670000 lives. It ranks as the main cause of cancer-related deaths among women across the world. The prevalence continues to increase with significant improvements in early detection, such as mammography, treatment such as radiation, chemotherapy, and surgery. Patients with BC often suffer from psychological distress like anxiety, depression, and mental retardation, which makes treatment outcomes more difficult. Despite being productive, traditional medicines can have serious drawbacks and adverse effects, such as poor response rates and multidrug resistance. They were investigating alternative therapies, mostly those derived from natural substances. Bioactive substances bent from plants, like terpenoids, alkaloids, flavonoids, and phenolic acids have demonstrated potential in preventing BC cells from proliferating and spreading. These substances produce anticancer effects through various pathways, including apoptosis induction, cell cycle arrest, autophagy activation, and angiogenesis restriction. Prominent plant species studied for their potential as BC treatment include Carica papaya, Corindrum sativum, Aegle marmelos, Allium sativum, and Cocos nucifera, which have been investigated for their therapeutic potential against BC. These plants contain active constituents such as papain, flavonoids, alkaloids, and organosulfur compounds, demonstrating anticancer properties in preclinical models. This review highlights the therapeutic potential of these natural compounds, their mechanisms of action, and the need for further research to validate their efficacy in human clinical trials. The findings suggest that integrating plant-based therapies with conventional treatments may offer new routes for improving breast cancer prognosis and patient quality of life.
Study on the synthesis of heterojunction Cu2O-BiVO4 catalysts for the photoelectrochemical water splitting
Authors: Nguyen Thi Mo  , Nguyen Chau , Nguyen Bach
Published: January 2025

Photoelectrochemical water splitting to convert solar energy into chemical energy stored in hydrogen fuel is a challenging task. In this work, BiVO4 was synthesized by the hydrothermal method. Cu2O was incorporated with BiVO4 by the reduction of Cu2+ with ascorbic acid on the BiVO4 particles, varying the Cu:Bi ratio in the reaction and reaction time. The prepared samples were characterized by XRD, SEM and UV-Vis DRS. Cu2O was formed with a low content and was well dispersed on the surface of BiVO4. The synthesized Cu2O-BiVO4 can absorb radiation in both UV and vision ranges with a wavelength less than 465 nm. The incorporation of Cu2O and BiVO4 can lead to an increase in the photocatalytic performance of the materials with both higher photogenerated current density and dark current density. The 3:10 Cu:Bi ratio in the reaction mixture is considered the optimum ratio for better photoelectrochemical activity of the synthesized catalyst.
Estrategias metodológicas para la enseñanza de la ortografía en Educación General Básica Superior
Authors: Andrango Arévalo Wendy Lizbeth , Vera Palacios Diego Anibal , Cárdenas Quintana Raúl Bolivar
Published: January 2025

La presente investigación busca optimizar la enseñanza de la ortografía en estudiantes de Educación General Básica Superior mediante la implementación de dos estrategias metodológicas, una innovadora y la otra actual: la revisión entre pares y los juegos de palabras. Con el propósito de determinar la eficacia de cada una, se llevó a cabo una investigación cuantitativa en dos instituciones educativas, donde se aplicaron estas estrategias y se evaluaron sus resultados a través de un pre y post-tests. Además, se realizaron encuestas a docentes y estudiantes para recabar información sobre las estrategias usadas por los profesionales que laboran en el campo y su eficacia reflejada en los trabajos escritos de los estudiantes. Los hallazgos revelan que ambas estrategias resultaron efectivas para mejorar el desempeño ortográfico de los estudiantes, evidenciándose un aumento significativo en su rendimiento escrito tras la intervención. Estos resultados sugieren que la incorporación de actividades lúdicas y colaborativas en el proceso de enseñanza de la ortografía pueden favorecer la retención de conocimientos y generar un aprendizaje más significativo y motivador para los estudiantes, dejando atrás la enseñanza rígida y tradicional.
Analyzing the Implementation of Public Relations Ethics at PT KAI and Its Implications on Competitive Advantage
Authors: Lisdiantini Netty , Zubair Feliza , Perbawasari Susie , Baruno Agustiawan Djoko , Radjamin Irzameingindra Putri
Published: January 2025

This study examines the role of public relations (PR) ethics in enhancing PT Kereta Api Indonesia's (PT KAI) competitive advantage in the railway industry. Ethical practices in PR are vital for fostering stakeholder trust, improving customer satisfaction, and enhancing employee engagement, all of which contribute to sustainable growth and market leadership. Adopting a qualitative research design and a case study approach, the research investigates how ethical principles such as transparency, integrity, equity, respect, and responsiveness are applied within PT KAI’s operational and strategic frameworks. Data collection involved document and thematic analyses, emphasizing ethical practices’ impact on stakeholder relationships and competitive outcomes. The findings highlight that PT KAI’s ethical initiatives strengthen its reputation, promote customer loyalty, and support a positive workplace environment. Despite these successes, challenges remain, including the absence of formalized ethical guidelines and the need for ethical leadership. The study concludes that integrating PR ethics into organizational culture enhances competitive advantage and ensures long-term sustainability in a dynamic market.
PENGARUH BESARNYA BUNGA PINJAMAN TERHADAP MALL X DI GARUT
Authors: Hazairin  , Muhammad Taufikqurrohman
Published: January 2025

Penelitian ini tentang pengaruh besarnya bunga pinjaman terhadap investasi Mall X di Kota Garut, analisis dilakukan pada tiga proyeksi pinjaman yaitu 48,13%, 50% dan 65%, dimana dari ketiga proyeksi tersebut diperlukan analisis Capital Budgeting guna penetapan harga sewa tenan dan biaya operasional terealisasikan secara maksimal. Penelitian ini bertujuan untuk mengetahui besar kecilnya bunga pinjaman terhadap laba dan untuk menentukan harga sewa tenan. Untuk melaksanakan rencana tersebut dibutuhkan analisis capital budgeting dimana didalamnya terdiri dari Payback Periode dan Profitability Index. Berdasarkan analisis tersebut proyek pembangunan Mall X layak dilaksanakan dengan pinjaman modal maksimal sebesar 60,08% dari total investasi.
STUDI EKSPERIMENTAL TENTANG REHABILITASI BALOK JEMBATAN DENGAN SPALLING MENGGUNAKAN SIKA GROUTING DAN GFRP
Authors: Achmad Zultan Mansur  , Daud Nawir
Published: January 2025

Spalling yang disebabkan oleh paparan klorida yang tinggi pada girder jembatan menimbulkan ancaman signifikan terhadap integritas struktural dan keselamatan pengguna. Penelitian ini berfokus pada evaluasi efektivitas perbaikan lokal menggunakan Sika Grouting yang dikombinasikan dengan perkuatan menggunakan Glass Fiber Reinforced Polymer (GFRP) pada balok beton bertulang yang mengalami spalling. Dua belas balok, termasuk balok kontrol dan variasi balok dengan perbaikan grouting (BGR), perkuatan GFRP (BGRS), serta kombinasi keduanya dengan U-Wrap pada tumpuan (BGRST), diuji untuk menganalisis pengaruh intervensi tersebut terhadap kapasitas beban. Hasil pengujian menunjukkan bahwa perbaikan grouting saja (BGR) menghasilkan penurunan kapasitas beban hingga
51,58% dibandingkan dengan balok kontrol, mengindikasikan bahwa perbaikan lokal saja tidak cukup untuk mengembalikan kinerja struktural sepenuhnya. Namun, kombinasi grouting dan perkuatan GFRP (BGRS) terbukti efektif dalam mempertahankan masa layan beban, meskipun belum mencapai kapasitas beban balok kontrol. Sementara itu, perkuatan komprehensif dengan grouting, GFRP, dan U-Wrap (BGRST) menunjukkan peningkatan kapasitas beban sebesar 8,1% dibandingkan balok kontrol, menandakan potensi metode ini dalam meningkatkan kinerja struktural balok yang rusak. Penelitian ini menyimpulkan bahwa kombinasi perbaikan lokal dengan Sika Grouting dan perkuatan menggunakan GFRP, terutama dengan penambahan U-Wrap pada tumpuan, menawarkan solusi yang efektif dan berkelanjutan untuk mengatasi masalah spalling pada girder jembatan. Pendekatan ini sangat relevan dalam konteks keterbatasan anggaran dan kebutuhan perbaikan yang mendesak, memberikan alternatif yang layak untuk menjaga integritas dan keamanan infrastruktur jembatan.
DETEKSI KERUSAKAN PADA STRUKTUR RANGKA BATANG RUANG DENGAN MENGGUNAKAN BINARY BAT ALGORITHM DAN EUCLIDEAN DISTANCE SEBAGAI FUNGSI OBYEKTIF
Authors: Richard Frans  , Yoyong Arfiadi
Published: January 2025

Deteksi kerusakan merupakan salah satu tahapan penting dari suatu sistem monitoring kerusakan struktur (structural health monitoring system). Resiko kerusakan bahkan keruntuhan dapat dihindari dengan melakukan deteksi kerusakan secara berkala, selain itu, perawatan (maintenance) dan penanganan dapat dilakukan dengan efektif. Terdapat berbagai metode yang telah diusulkan untuk mendeteksi kerusakan dari metode statik hingga perilaku dinamik dari struktur. Penelitian ini membahas suatu metode untuk mendeteksi kerusakan elemen/batang pada struktur rangka batang ruang berdasarkan salah satu kriteria/perilaku dinamik dari struktur, yaitu frekuensi natural dari struktur. Metode ini menggabungkan antara algoritma optimasi, yaitu binary bat algorithm dan euclidean distance sebagai fungsi obyektif, dimana perhitungan euclidean distance berdasarkan pada selisih frekuensi natural struktur analisis dan frekuensi natural struktur aktual (kondisi mengalami kerusakan). Struktur rangka batang ruang yang ditinjau adalah struktur rangka batang ruang dengan 32 elemen/batang dengan berbagai skenario kerusakan, mulai dari scenario kerusakan tunggal, ganda hingga kerusakan pada berbagai elemen/batang. Selain itu, pada penelitian ini, nilai biner digunakan untuk merepresentasikan ada atau tidaknya kerusakan pada masing-masing elemen. Berdasarkan hasil yang didapatkan, metode yang diusulkan dapat dengan akurat memprediksi elemen/batang yang mengalami kerusakan untuk berbagai skenario kerusakan dengan iterasi yang kurang dari 100. Hal ini menunjukkan tingkat keefektifan dari algoritma BBA untuk mendapatkan solusi yang optimum secara konvergen.