bluuebunny/crossref_metadata_2025 huggingface dataset:
Drowning in Dance Data: The Liquidity of Digital Choreography, from Sweat to Currency
Authors: Yánez Jorge Poveda
Published: January 2025

Starting with the synovial fluid lubricating the dancer’s knees at the motion capture studio, continuing with the sweat stains on gamers’ couches, and culminating with the liquid income that the companies behind hit titles like Fortnite generate by selling choreographic material; there is an overarching liquidity that dance turned into data traces across bodies and devices. Different kinds of liquification can be seen throughout the digitization stages of the dancing body, demonstrating an interconnecting thread between performance and dance on the screen that is fundamentally material, chemical, and physiological. This thread fosters a juxtaposition of digital and physical corporealities that forces users’ bodily schemas to be reformulated into techno-human embodiments. The mutual correspondence of the incursion of dance into the numerical field and the numerical into dance evidences the kinetic motor behind the capital accumulation of the new emergent economy of digital dance, whose hallmark is a fluidity that liquifies bodies into currency and back, for the service of an information society.
Pendefinisian dan Beberapa Teorema Terkait Generalisasi dari Definite Additive Integral dan Definite Multiplicative Integral
Authors: Fatkhurrohman Muhammad
Published: January 2025

Pada dasarnya, definite additive integral dan definite multiplicative integral adalah tipe definite integral yang memuat integral sebagai operator linear terhadap berturut-turut operasi penjumlahan dan operasi perkalian. Kedua tipe definite integral tersebut memiliki posisi integrand dan diferensial yang cukup rigid, sehingga seringkali tidak dapat digunakan untuk menyelesaikan beberapa permasalahan integral dengan beragam posisi integrand dan diferensial. Penelitian ini hadir untuk membahas mengenai pengembangan berupa generalisasi dari definite additive integral dan definite multiplicative integral dengan harapan dapat menjawab permasalahan sebelumnya. Pengembangan tersebut meliputi pendefinisian, beberapa teorema yang dapat diperoleh, dan beberapa contoh penggunaan terkait generalisasi yang dimaksud.
Leukocytosis is Common Following Pediatric Liver Transplant for Biliary Atresia but Should be Interpreted with Caution
Authors: Shanker A. Isabella , Maloney Lauren T. , Boster Julia M.
Published: January 2025

Infection is a leading cause of short-term morbidity and mortality in pediatric patients after liver transplant (LT). Diagnosing infection in this population can be challenging, requiring consideration of laboratory results and clinical context. The prevalence and significance of post-operative leukocytosis has not yet been explored in children after LT. Our goals were to characterize post-transplant leukocytosis in pediatric patients after LT for biliary atresia (BA) and evaluate the relationship between post-LT leukocytosis and infection. Retrospective review of patients aged 0-18 years who underwent LT between 2012-2022 for BA. Clinical data were extracted from electronic medical records. Infectious outcomes were characterized as organism-confirmed infection (OCI), presumed infection, and no apparent infection. Differences between groups were assessed using two-sample t-tests and Fisher’s Exact tests. 60 children met criteria for inclusion (mean age at LT 33.7 ± 50.9 months; 65% female). Forty-four (73.3%) had leukocytosis in the 14 days after transplant. There was no association between leukocytosis in general and OCI (p = 0.67) or presumed (p = 0.71) infection. Only leukocytosis >30,000/µL was associated with OCI (p = 0.008). Leukocytosis after LT for BA is common, although only white blood cell (WBC) count >30,000/µL was associated with organism-confirmed infection. This study is the first to describe the prevalence of leukocytosis in children after LT and emphasizes the importance of considering the multifactorial nature of leukocytosis when evaluating for and treating infections in this population.
OPTIMIZATION OF SELF NANO-EMULSIFYING DRUG DELIVERY SYSTEM (SNEDDS) FORMULA OF COMBINED 70% ETHANOLIC EXTRACT OF BENALU BATU (BEGONIA MEDICINALIS) HERBS AND KELOR (MORINGA OLEIFERA L.) LEAVES USING SIMPLEX LATTICE DESIGN METHOD
Authors: ZUBAIR MUHAMMAD SULAIMAN , JUSRIANI  , SULASTRI EVI , SYAMSIDI ARMINI , ARWANSYAH
Published: January 2025

Objective: This research aims to perform Self Nano-Emulsifying Drug Delivery System (SNEDDS) formulation of combined ethanolic extract of benalu batu (Begonia medicinalis) herbs and kelor (Moringa oleifera) leaves, determine the optimal concentration based on physicochemical characteristics as well as the phytochemical contents and in vitro anticancer activity.
Methods: Surfactant and co-surfactant concentrations were determined by Design Expert v.13 software with Simplex Lattice Design (SLD) method. The phytochemical contents were measured by using a UV-Vis spectrophotometer, and the inhibition activity on HeLa cancer cells was tested by using the MTT method.
Results: Design Expert with the SLD method produces five design formulas. The most optimal SNEDDS formula based on the SLD method was formula 5, which contains a combination of extract of benalu batu herbs and kelor leaves with a concentration ratio of 1:1 (100 mg: 100 mg), 12% Virgin Coconut Oil (VCO), 64% tween 80, and 16% propylene glycol. The optimal formula has the characteristics of an emulsification time of 39.30±3.055 seconds, a transmittance percentage of 92.25%±0.004, a particle size of 14.43 nm±0.306 with a Polydispersity Index (PI) of 0.237, pH of 4.70±0.031 and viscosity of 355 cps±2.6. It also contains a total phenolic content of 5.517±0.382 mg/g GAE, total flavonoids of 8.501±0.695 mg/g QE, and total saponins of 17.991±0.052 mg/g EE. In addition, it also possesses a high percentage of cell death of Hela cancer, which is 84.334% at a concentration of 200 µg/ml.
Conclusion: Formula 5 has the potential for anticancer activity with good characteristics as SNEDDS formula.
BEYOND-USE DATE DETERMINATION OF CETIRIZINE HYDROCHLORIDE SYRUP PREPARATION
Authors: JATMIKA CATUR , FADHILA GHINA SALMA , ISWANDANA RADITYA
Published: January 2025

Objective: To determine Beyond Use Date (BUD) of cetirizine hydrochloride syrup preparation by analyzing cetirizine concentrations using High-Performance Liquid Chromatography (HPLC) with an Ultraviolet (UV) detector.
Methods: The analysis was carried out using mobile phase acetonitrile-phosphate buffer pH 3 (50:50 v/v), flow rate 1 ml/min with isocratic elution, and detected using a UV detector at 232 nm. The BUD was determined by measuring the cetirizine level in the syrup sample since the primary packaging was opened (day 0) for 5 w of storage.
Results: The analytical method was selective and specific. The linearity results show a correlation coefficient (r) of 0.9998 in the 4-32 g/ml concentration range. The limit of detection (LOD) and limit of quantification (LOQ) values were 0.5 µg/ml and 1.7 µg/ml, respectively. The method satisfies accuracy, precision, robustness, and ruggedness criteria. The data showed a decrease in cetirizine concentration level in preparation within 5 w.
Conclusion: This study successfully determined the BUD of cetirizine hydrochloride syrup by analyzing cetirizine concentrations using HPLC with a UV detector. The results revealed a progressive decrease in cetirizine concentration over five weeks of storage, and the BUD was established at 25 d. This finding is significant, providing valuable guidance for pharmacists and healthcare providers in managing the use of the medicine after the primary packaging is opened.
DESIGN, DEVELOPMENT, AND CHARACTERIZATION OF CURCUMIN-LOADED NANO TABLET IN ENDOMETRIOSIS TREATMENT
Authors: ABHINI UMMANGALBALAN , MARIAPPAN GURUSAMY , KUMAR BHAVNA
Published: January 2025

Objective: The goal was to simplify the manufacture of curcumin-loaded-nanosponges (CUNS) and test their vaginal delivery of CU for endometriosis in mice.
Methods: The independent parameters of CU-β-Cyclodextrin (CU-β-CD) NS generation were improved using box-behnken design (BBD). BBD with three factors and three levels was used for the studies. The study used carbonyldiimidazole as a cross-linking agent and lyophilization to create CU-β-CDNS. The anti-endometriosis activity of nano-tablet was tested in mice with peritoneal endometriosis.
Results: The mean particle size was 76.78–154.56 nm, and the encapsulation effectiveness was 76.62–86.68%. Transmission Electron Microscopy showed that the polymer encapsulated CU. In vitro antioxidant activity showed that CU and CUNS had SC50 values of 5243.52±389.92 and 187.36±16.78 μg/ml, respectively. Bio-adhesion studies showed hydroxypropyl methylcellulose and xanthan gum performed better. The F1 and F2 formulations had better in vitro drug release at 12 h, with values of 97.12±2.38 and 95.34±3.24%, respectively. Photostability and simulated intestinal fluid testing were good. Endometriosis mice had leukocyte infiltration and fibrosis, while control mice had increased stromal vessel density and intact epithelium. However, CU nanogel greatly alleviated these issues. Histopathology demonstrated CUNS-pill corrected endometrial pathology.
Conclusion: The study advised CUNS-pill for endometriosis treatment.
Utilizing advanced machine learning techniques for accurate prediction of oxygen quantity in gas-fired boiler combustion to enhance environmental pollution control
Authors: Ganpati K. , Bhusnur S.
Published: January 2025

PyTorch, an open-source machine learning framework built on the Torch library, is used in this application to apply deep learning to image classification in a boiler section and to design an entity algorithm for predicting the amount of oxygen available in the furnace section. The physical features of this flame are viewable using pictures obtained from a Charge Coupled Device (CCD). By removing the nonlinear elements, a multilayer CNN forecasts the amount of oxygen in the flue gas from a boiler. From the results of experiments conducted on-site in a real-time combustion system, images of boilers under various settings, including temperatures, air pressures, and gas conditions, have been obtained. Classification models are then applied. The precise quantity of oxygen content is calculated with these photos as input and comparing the outcomes with the test data set. More insightful information about the flame's physical features can be defined using a Convolutional Neural Network (CNN) model and a multilayer representation of the flame images. The flame images captured on-site from an actual combustion system are utilized to illustrate this notion. The oxygen content is predicted using a multilevel-based, unsupervised, and semi-supervised deep entity algorithm by taking 12 classes and training 4,203,592 images each flame image in the tests has a resolution of 24 bits per pixel and a size of 658*492 pixels. After training the model, the loss is as low as 3%, and the attained accuracy is 97%.
Development and implementation of a microstrip antenna for autonomous vehicles and IoT in 5G communication systems
Authors: Ali N. Q. , Mohammed A. J. , ALRikabi H. T. S. , Aliwy A. K. , Khazaal H. F.
Published: January 2025

This research paper shows the design and implementation of a 5.8 GHz microstrip patch antenna (MPA). Experimental investigations have concluded that employing a 0.8 mm high Rogers Rt-duroid substrate along with an inset feeding technique produces optimal outcomes to fulfill the demands of 5G applications. The designed antenna demonstrates 8.09 dBi directivity, a 7.38 dB gain, and -20 dB return loss at its resonant frequency. To further verify the performance of antenna, it was fabricated and evaluated using the CST Microwave Studio program, a 3D simulation tool specifically designed for antenna design and parameter calculation
Factors Affecting Employees’ Job Satisfaction: Organizational and Individual Levels
Authors: Bhattacharya Mowpia
Published: January 2025

In contemporary business management studies, the importance of employees is increasingly emphasized, with greater
focus on employee satisfaction as a foundational element for sustained organizational success. Employee satisfaction directly
influences not only productivity and retention rates but also fosters a positive organizational culture that attracts and retains top
talent. This paper synthesizes and reviews the impact of both organizational and personal factors on job satisfaction, frequently
examined in existing literature, through a comprehensive literature review.
Through an in-depth discussion of these factors, this paper highlights that organizational aspects, such as corporate climate,
competitive compensation, opportunities for career progression, and inclusive leadership styles, are positively associated with
higher levels of employee satisfaction. Satisfied employees are more likely to exhibit commitment to their roles, which in turn
positively impacts team dynamics and organizational outcomes. At the individual level, characteristics like age, educational
background, and work experience are explored, with findings showing varying effects on job satisfaction depending on industry
and context. Differences in job satisfaction across demographic groups underscore the need for a tailored approach to
management that considers diverse employee backgrounds and career stages
Solar Panel Based Boost Converter with Neural Network for High Voltage Gain Applications
Authors: Rangari Mr. Aniket
Published: January 2025

Solar panels with their low output voltage often face challenges in meeting the energy requirements of high-voltage
gain applications. This project tackles these issues by developing a boost converter for solar panels, combined with a Maximum
Power Point Tracking (MPPT) controller and a neural network-based control system. The neural network adjusts the
converter's parameters dynamically, responding to variations in solar irradiation and load conditions to optimize system
performance. This innovative approach achieves higher voltage gain, enhanced efficiency, and greater stability compared to
traditional methods. The adaptability of the system makes it ideal for use in renewable energy applications and electric vehicles.
Simulations conducted in MATLAB's Simulink environment demonstrate the system's ability to achieve MPPT while minimizing
harmonics in the solar PV output. This ensures a reliable and efficient solution for scenarios requiring high-voltage gain with
low input. The project underscores the role of artificial intelligence in improving the performance and reliability of solar energy
systems.
Modelling and Simulation of Univariate Model of ‘Groundwater’ and Multivariate Model of ‘Rainfall, Temperature, Root and Topsoil, Depth to Groundwater Table’ Using Deep Learning and Machine Learning Analysis for Time Series Forecasting of Neural Network Model in Rajshahi Region of Bangladesh
Authors: Shahriar Ashraf
Published: January 2025

This study investigates modeling and simulation of groundwater dynamics using univariate and multivariate time
series forecasting. While the univariate analysis focuses on the water table, the multivariate analysis integrates relevant variables
such as precipitation, temperature, root and surface soil cover, and depth to the water table. The incorporation of advanced
computational systems such as deep learning and machine learning significantly improves the analytical accuracy and model
robustness compared to traditional numerical approaches. The main outcomes of this study include an extension of the
projection model that can estimate groundwater levels based on existing historical data of relevant variable quantities. The
developed model can help policymakers and stakeholders make informed decisions regarding groundwater utilization and
conservation.
Exploring Machine Learning and Deep Learning Techniques for Univariate and Multivariate Time Series Forecasting in the Area of Barisal in Bangladesh
Authors: Uddin Rakib
Published: January 2025

Bangladesh, a densely populated country in South Asia, faces substantial challenges in water resources management
due to its geographic location, hydrological features, and socio-economic aspects. Groundwater plays a dynamic role in meeting
the water needs of both rural and urban population, accounting for approximately 85% of the total drinking water supply and a
significant portion of irrigation water. With rapid population growing, urbanization, and industrialization, the demand for
groundwater is constantly growing, increasing pressure on existing water resources and necessitating effective managing
approaches. The consequence of this study lies in its potential to improve the correctness and trustworthiness of groundwater
level forecasts, thereby supporting more conversant decision-making in water resources management, urban planning, and
structure development.
By using advanced machine learning and deep learning performances, this research challenges to fill the gaps that exist in
traditional predicting methods and contribute to the justifiable use of groundwater resources in Bangladesh.
Channel Estimation on MIMO F-OFDM Using Deep Learning Algorithm
Authors: Ahmed Abdullah Furqaan
Published: January 2025

This paper outlines the Analysis of techniques for estimating channels in MIMO-OFDM systems, which combine
Multiple Input Multiple Output (MIMO) with Orthogonal Frequency Division Multiplexing(OFDM)to enhance spectral
efficiency and robustness in modern telecommunication systems
Atmanirbhar Bharat Abhiyan: (A Deep Dive into Challenges and Questions)
Authors: Shah Dr. Navneet
Published: January 2025

The Atmanirbhar Bharat Abhiyan, or the Self-Reliant India Campaign, is an ambitious initiative launched by the
Indian government to make the nation more self-sufficient and reduce its import dependency. The program was introduced in
May 2020 after the COVID-19 pandemic, this strategic vision seeks to boost various sectors, including agriculture, technology,
and manufacturing, with the broader objective of transforming India into a global economic powerhouse. However, despite its
ambitious goals, the implementation of Atmanirbhar Bharat faces significant challenges, including infrastructural limitations,
technological gaps, and financial constraints.
Digital Image Forgery Detection using Deep Learning
Authors: Jain Harsha
Published: January 2025

In recent years, the rise in accessibility and simplicity of image editing tools has led to a surge in the production and
dissemination of fake or manipulated images across media and the internet. Numerous techniques have been introduced to verify
the originality of images, for certain cases, to pinpoint the specific regions that have been altered or forged. This paper offers a
review of several of the latest image forgery detection methods, particularly those based on Deep Learning (DL) frameworks,
with a focus on prevalent attacks such as copy-move and splicing.
The growing phenomenon of Deepfake content is also discussed, especially in its application to images, which results in effects
similar to splicing.
The relevance of this survey is highlighted by the fact that deep learning-based methods currently offer some of the best
performance on standard datasets. We explore the essential features of these methods and describe the datasets used for their
training and validation.
Furthermore, we assess and compare their performance where applicable. Based on this examination, we suggest potential
future directions for research, particularly in the areas of deep learning architectures, evaluation methodologies, and the
development of datasets to facilitate easier comparison of these techniques
Engaging Millennials: Role of Quality of Work Life, Psychological Safety, Psychological Capital, and Inclusive Leadership (A Study of 3-5 star Hotel Employees in Yogyakarta City)
Authors: Singarimbun Abigael Sribuena , Suharti Lieli
Published: January 2025

Objectives: The millennial generation dominates the workforce in Indonesia, earning the title of "fleas" or the "hopping generation" due to the high intensity of job changes. The purpose of this study is to develop an integrative model for engaging millennials in the workplace that incorporates individual resources (psychological capital), and resources derived from the workplace (inclusive leadership, quality of work life, and psychological safety).Methodology: This study used a quantitative approach. The research sample comprises 152 hospitality employees working in 3-5-star hotels in Yogyakarta city. The data was collected using a purposive sampling technique. A questionnaire was distributed to the research sample and was then analyzed using the PLS-SEM technique.Finding: Inclusive leadership and psychological capital exert a positive and significant effect on the quality of work life. The quality of work life also has a positive and significant effect on work engagement; and it acts as a mediator between inclusive leadership and work engagement, as well as between psychological capital and work engagement. However, psychological safety does not enhance the effect of inclusive leadership on the quality of life or the effect of psychological capital on work engagement. Therefore, organizations must strive to fulfill the employees' quality of work life to maximize the psychological capital and the application of inclusive leadership within the organization, thereby fostering work engagement in the workplace.Conclusion: The results of this study indicate that the quality of work life plays a pivotal role in work engagement and inclusive leadership has a positive impact on the quality of life among the millennial generation employee.
Integrated Corporate Governance Moderates Determinants On Economic Performance
Authors: Qintharah Yuha Nadhirah , Murwaningsari Etty , Rachmawati Sistya
Published: January 2025

Objectives: This study aims to examine the effect of corporate social responsibility and competitive advantage on economic performance in addition to using integrated corporate governance as a moderating variable. Thus, this study also aims to determine whether integrated corporate governance strengthens or weakens the relationship.Methodology: The research method used is moderated regression analysis (MRA). Data used in this research is secondary data from IDX. In addition, this study tested the classical assumptions and tested the accuracy of the model to find out which model was the most appropriate. The number of samples used in this study was 201 samples from the annual year 2020-2022.Finding: The results show that CSR does not affect economic performance, competitive advantage has a positive effect on economic performance, CG strengthens the influence of CSR on economic performance and CG strengthens the influence of competitive advantage on economic performance.Conclusion: Governance is an important factor in company performance because it can moderate the relationship between competitive advantage and CSR with performance. This research indicates the importance of competitive advantage to improve company performance. This is supported by the RBV theory which states to make good use of company resources. Also, governance could become quasi-moderation because it could become a moderator variable and could influence an independent variable.Novelty: This research uses different measurements of integrated corporate governance measurement. ICG measurement in this research is using developed POJK no 2/POJK 05/2014 indicators.
The Influence of Pricing And Promotion on Satisfaction Through Purchasing Decisions as A Study Intervening Variable at PT Hotel Kampung Sampireun
Authors: Tojiri Yusuf , Rusdian Suca , Sugiat Jajang
Published: January 2025

Objectives: This research aims to investigate the influence of price and promotion on purchasing decisions and their impact on consumer satisfaction at PT. Kampung Sampireun Resort and Spa. The issues raised focus on how price and promotions contribute to consumer purchasing decisions, as well as how these purchasing decisions influence the level of consumer satisfaction. With increasing competition in the hotel industry, these resorts need to understand the factors that can influence consumer decisions and increase their satisfaction. Methodology: The research method used is correlation analysis, with data collected through questionnaires from respondents who are consumers or potential consumers of this resort. Finding: The research results show that both price and promotion have a significant influence on purchasing decisions, although the resulting correlation coefficient is categorized as low. Purchasing decisions also act as a mediator between price, promotion, and consumer satisfaction variables, indicating that a good strategy in setting prices and promotions can contribute to increasing customer satisfaction. Conclusion: The strategic implications of this research suggest the need for these resorts to continue to optimize pricing and promotion strategies and consider additional factors such as service quality and user experience to achieve more holistic consumer satisfaction. Recommendations for future research include exploring additional factors that may influence consumer satisfaction as well as testing the effectiveness of more complex marketing strategies. Overall, this research provides a strong basis for PT. Kampung Sampireun Resort and Spa to develop more effective marketing strategies to increase competitiveness and maintain customer satisfaction in the future.
Building a Digital Innovation Ecosystem through Knowledge Sharing and a Conducive Business Climate
Authors: Sarman Rohmat , Affandi Azhar , Djulius Horas , Priadana Sidik
Published: January 2025

Objectives: This research investigates the role of knowledge sharing and a supportive business climate in establishing a digital innovation ecosystem for Muslim entrepreneurs in West Java.Methodology: The study utilized a quantitative approach, combining descriptive and verification methods through an explanatory survey to gather data from 400 entrepreneurs. A proportional cluster random sampling method was employed, using business type as the basis for stratification. The data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with SmartPLS version 3.2.9.Finding: The results indicate that: 1) Knowledge sharing has a positive and significant impact on the business climate. 2) Knowledge sharing positively and significantly influences digital innovation. 3) The business climate has a positive and significant effect on digital innovation. 4) Furthermore, the business climate mediates the relationship between knowledge sharing and digital innovation.Conclusion: The research concludes that knowledge sharing is vital in improving both the business climate and digital innovation among Nahdliyin entrepreneurs in West Java. The significant and positive influence of knowledge sharing on the business climate highlights its role in creating a supportive entrepreneurial environment. Additionally, the business climate directly affects digital innovation and mediates the relationship between knowledge sharing and digital innovation. These insights suggest that enhancing digital innovation among entrepreneurs should involve fostering knowledge sharing and developing a conducive business climate. The study emphasizes the need to integrate these elements to build a strong digital innovation ecosystem that can improve entrepreneurial performance.
Female Lecturers' Psychological Well-being and Performance are Impacted by Work-family Conflict and Self-efficacy
Authors: Yuliaty Farida
Published: January 2025

Objectives: This study aims to examine the influence of work-family conflict (WFC) and self-efficacy on the psychological well-being and performance of female lecturers in Bandung. It also explores the mediating role of psychological well-being in these relationships to provide a comprehensive understanding of how these factors interact to affect the productivity of female lecturers.Methodology: This quantitative study used a survey and Structural Equation Modeling (SEM) via SmartPLS 4 to examine relationships between WFC, self-efficacy, psychological well-being, and performance. WFC and self-efficacy were the exogenous variables, psychological well-being was the mediator, and performance was the endogenous variable. A sample of 140 married female lecturers from West Java and Banten with at least three years of experience was selected using purposive and accidental sampling.Findings: Work-family conflict (WFC) negatively affects both psychological well-being and performance, while self-efficacy positively influences both. Psychological well-being significantly enhances performance and partially mediates the effects of WFC and self-efficacy on performance, with mediation effects of 32.27% and 26.67%, respectively.Conclusion: This research highlights the importance of addressing work-family conflict and fostering self-efficacy to enhance psychological well-being and performance among female lecturers. Institutions can improve lecturer performance by supporting mental health initiatives and helping lecturers manage WFC. Additionally, increasing self-efficacy through confidence-building programs can contribute significantly to both psychological well-being and productivity. This study fills gaps in previous research by offering a nuanced understanding of the mediating role of psychological well-being in the academic context, particularly for female lecturers balancing work and family responsibilities
A study on kid mortality - focusing on nutritional myopathy
Authors: Silva Filipe , Pires Isabel
Published: January 2025

Nutritional myopathy, or white muscle disease, is a common condition in
livestock caused by deficiencies in selenium and vitamin E. This study aimed
to investigate the incidence of nutritional myopathy in caprine kids,
focusing on its role as a cause of mortality in the Tr?s-os-Montes region.
A post-mortem study was conducted over one year on 111 young goats, less
than three months old, originating from autochthonous breeds of
Tr?s-os-Montes and Alto Douro (Bravia and Serrana breed). Necroscopy was
performed to examine for macroscopic findings. Collected tissue was fixed in
10 % buffered formalin and examined histopathologically. Parasitological
analysis was also performed. The clinical history, post-mortem lesions, and
histological examination were used to establish cause of each kid?s death.
The primary lesions were enteritis and pneumonia. The findings revealed that
22.5 % of the necropsied goats exhibited lesions consistent with nutritional
myopathy, macroscopically detectable in the limb and heart muscles. The
study underscores the importance of implementing preventive measures and
nutritional management practices to mitigate the occurrence of nutritional
myopathy in goat herds in Tr?s-os-Montes.
The Impacts of Excessive Screen Use on Child Neurodevelopment: Systematic Review
Authors: DA Faria , JFV Santiago
Published: January 2025

Introduction: The increase in the use of devices with screens among children has raised significant concerns. Excessive use of
screens such as smartphones and tablets is linked to a series of problems in child development. Studies reveal that excessive
exposure to these screens can negatively impact learning, concentration, language and motor skills. Furthermore, exchanging
social interactions and physical activities for long periods in front of screens can result in behavioral problems, hyperactivity,
impulsivity, in addition to adversely influencing the quality of sleep and mental health.
Objectives: to gather and analyze evidence on the repercussions of excessive use of screens on children’s neurodevelopment.
Methodology: This is a systematic review, conducted according to the Cochrane Handbook for Systematic Reviews of Interventions
guidelines and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)
statement. The search strategy used the controlled descriptors contained in the Health Science Descriptors (DeCS) of the Virtual
Health Library (VHL) and Medical Subject Headings (MeSH): “divorce”; “parents”; “children”; “emotional”; “behavioral” “mental
disorder”, associated with the Boolean operators “AND” and “OR”.
Results: A total of 6 articles were obtained in the final sample. Overall, the results highlighted the possible harmful impacts of
excessive use of technology on ocular, mental, physical and social health as a result of this prolonged exposure.
Conclusion: Thus, it is possible to state that the excessive use of devices with screens among children and adolescents is an issue
that has been generating increasing concern in society.
The Diverse Roles of Anaesthesiologists and Ambulance Services
Authors: AN Shetti
Published: January 2025

Anesthesiologists and ambulance services represent two critical pillars of healthcare, extending their expertise far beyond their
primary specialties to ensure comprehensive patient care. The primary role of anesthesiologists centers on maintaining the
safety and comfort of patients undergoing surgical procedures. They administer anesthesia, meticulously monitor vital signs, and
manage pain with precision. However, their scope is not confined to the operating room. Anesthesiologists play pivotal roles in
critical care units, where they manage life-threatening conditions, in pain management clinics for chronic and acute pain relief,
and in obstetric care, ensuring safe and comfortable childbirth experiences. Likewise, ambulance services are indispensable in
emergency medical care, acting as the first responders in critical situations. Ambulance personnel provide immediate, on-site
medical attention during emergencies, ranging from severe trauma to acute medical crises. They perform life-saving interventions
such as resuscitation and stabilization, ensuring patients are transported safely and efficiently to appropriate medical facilities.
The ability of ambulance teams to respond rapidly and effectively often has a direct impact on patient survival and recovery.
Together, anesthesiologists and ambulance teams form a vital healthcare continuum. While anesthesiologists provide specialized
care during surgery and beyond, ambulance services ensure immediate and effective medical interventions during emergencies,
where every second matters. This synergy reflects a coordinated approach to patient care, bridging the critical phases of response,
treatment, and recovery. Their collaboration underscores the importance of integrated healthcare systems in saving lives and
improving patient outcomes.
Humiliation, Shame or Resilience: How to Reach Each of the Ways to Live, According to Analytical Psychology
Authors: IA de Souza
Published: January 2025

Bowlby J defines resilience as a person's capacity to modify circumstances according to necessities and priorities. Among the
characteristics of a highly resilient person is the ability to adapt to certain situations that, among others, would be impossible
to live with and could result in withdrawal. Piaget divided behaviours into three groups: Instinct, which is the hereditary
adaptation to situations that are repeated; habit, which is the acquired adaptation to situations that are repeated; intelligence,
which is the adaptation to new and demanding conditions; consequently, a trial and error experience. Considering that, it is
worthwhile to reflect on their basis.
Supervisi Akademik untuk Meningkatkan Keterampilan Mengajar Guru SD
Authors: Suarniti Luh
Published: January 2025

Keterbatasan waktu dalam mengajar tidak hanya menyebabkan banyak permasalahan bagi siswa tetapi juga pada diri guru. Permasalahan tersebut tentunya sangat berpengaruh terhadap hasil belajar pada tiap bidang studi yang semakin rendah. Selain itu, menyebabkan menurunnya kompetensi pedagogi guru khususnya dalam keterampilan mengajar guru. Penelitian ini bertujuan untuk untuk menganalisis keterampilan mengajar guru di SD melalui supervisi akademik. Penelitian ini adalah penelitian tindakan sekolah yang melibatkan guru kelas yang berjumlah 6 orang guru. Metode pengumpulan data dengan lembar observasi. Metode analisis data dengan analisis deskriptif kuantitatif. Hasil penelitian ini menunjukan bahwa skor keterampilan mengajar guru dinyatakan meningkat, hal dibuktikan terjadi peningkatan keterampilan mengajar guru antara siklus I (jumlah 104, rata-rata 17.33, kriteria baik) dan siklus II (jumlah 140, rata-rata 23.33, kriteria baik). Terjadi peningkatan skor keterampilan mengajar guru antara siklus I dan siklus II, menunjukan kenaikan rata-rata sebesar 6. Kesimpulan skor keterampilan mengajar guru di SD setelah diterapkannya supervisi akademik dapat meningkat. Implikasi penelitian ini diharapkan dapat menjadi masukan yang berharga dalam pengambilan-pengambilan kebijakan pendidikan, khususnya berkait dengan pemberdayaan, serta peningkatan profesionalitas pendidik dan tenaga kependidikan.
Media Game Edukasi Membaca Permulaan Untuk Meningkatkan Motivasi Belajar Pada Siswa Kelas I Sekolah Dasar
Authors: Ni Putu Diah Setiarini  , I Gede Margunayasa  , Ni Wayan Rati
Published: January 2025

Siswa kesulitan dalam membaca permulaan. Permasalahan ini berdampak buruk pada kemampuan membaca siswa. Rendahnya tingkat membaca di kelas I mengakibatkan proses pembelajaran tidak berjalan maksimal. Hal ini karena guru tidak menggunakan media yang menyenangkan dalam membelajarkan membaca permulaan bagi siswa. Selain itu, kecanduan terhadap internet khususnya game online memberikan dampak negatif seperti kegagalan dalam pendidikan Penelitian ini bertujuan menganalisis efektivitas game edukasi terhadap motivasi belajar membaca permulaan siswa kelas I SD. Penelitian ini merupakan jenis penelitian pengembangan yang menggunakan model pengembangan ADDIE. Subjek uji coba produk hasil penelitian ini yakni siswa kelas 1 sebanyak 24 siswa. Metode pengumpulan data menggunakan metode non tes berbentuk kuesioner. Teknik analisis data yang digunakan terdiri dari teknik deskriptif kuantitatif dan deskriptif kualitatif. Hasil penelitian menunjukan bahwa motivasi belajar siswa meningkat setelah belajar  membaca permulaan menggunakan media game edukasi. Implikasi dari penelitian ini siswa dapat belajar materi belajar huruf dan angka melaui game yang sederhana dan interaktif, serta proses belajar siswa menjadi lebih efektif, dan berpengaruh positif terhadap motivasi belajar siswa. Selain itu, dapat memotivasi guru alam mengembangkan media yang bermakna dan inovatif.
Profiling Student Learning Styles to Design Differentiated Learning to Support Independent Learning
Authors: Ichsan Fahrozi  , Putri Yanuarita Sutikno
Published: January 2025

Another obstacle teachers often face is the lack of learning facilities that can support the implementation of the independent curriculum. Based on this, this research aims to produce significant data or information related to the profiling characteristics of student learning styles, especially the learning styles of fifth-grade elementary school students, which can be used to optimise learning activities through differentiated learning. This type of research is qualitative research. This research uses the case study method to explore reality, implementing different learning through profiling student learning styles. The research subjects were the principal, teachers and class V students. The methods used to collect data were interviews, observation and student questionnaires. The data analysis technique used in this research is descriptive qualitative with the Miles and Huberman version of the data analysis technique. The research results show that class V students have their dominant learning styles. Teachers use this as a basis for designing differentiated learning that is adapted to the characteristics of students' learning styles. The fifth-grade teacher also implemented several learning strategies to overcome difficulties and shortcomings in implementing differentiated learning.
Metode Pembelajaran Total Physical Response (TPR) Berbasis Media Realia dan Interaksi Sosial Terhadap Kemampuan Berbicara Informatif Pada Pembelajaran Bahasa Inggris Anak TK B
Authors: Intan Melina Kristy  , Putu Aditya Antara  , Kurnia Widiastuti Giri
Published: January 2025

Pendidikan Bahasa untuk anak usia dini sangat penting dilaksanakan karena pada masa ini anak sedang mengalami pertumbuhan dan perkembangan yang sangat pesat. Namun ditemukan permasalahan dilapangan yaitu anak tidak mampu mengikuti pembelajaran Bahasa dengan baik dikarenakan metode pembelajaran Bahasa tidak sesuai dengan karakteristik anak usia dini, guru TK B belum memiliki kemampuan yang khusus dalam pengenalan Bahasa, waktu yang disediakan terbatas. Penelitian ini bertujuan untuk menganalisis metode pembelajaran Total Physical Response (TPR) berbasis media realia dan interaksi sosial terhadap kemampuan berbicara informatif pada pembelajaran Bahasa inggris anak TK B. Jenis penelitian ini yaitu eksperimen semu (quasi eksperimen). Subjek penelitian ini yaitu anak TK B yang melibatkan 39 anak berdasarkan group random sampling. Metode analisis yang digunakan kuantitatif. Hasil penelitian ini menunjukan bahwa adanya pengaruh metode pembelajaran TPR berbasis media realia dan interaksi sosial terhadap kemampuan berbicara informatif pada pembelajaran Bahasa inggris anak TK B hal ini dibuktikan berdasarkan hasil analisis deskriptif yaitu terdapat pengaruh antara metode pembelajaran TPR berbasis media realia dan interaksi sosial terhadap kemampuan berbicara informatif pada pembelajaran bahasa inggris di TK B. Implikasi penelitian ini yaitu metode pembelajaran Total Physical Response (TPR) berbasis media realia dan interaksi sosial dapat meningkatkan kemampuan berbicara informatif pada pembelajaran bahasa inggris anak TK B.
Kegiatan Ekstrakurikuler Seni Tari Kreasi Terhadap Kecerdasan Interpersonal Anak Kelompok B Taman Kanak-Kanak
Authors: Ketut Sri Widiastuti  , Dewa Ayu Puteri Handayani
Published: January 2025

Kurangnya kegiatan kreatif di taman kanak-kanak mengakibatkan kecerdasan interpersonal anak masih rendah. Anak cenderung egosentris dan jarang melihat kejadian dari sudut pandang orang lain. Tujuan penelitian ini adalah untuk menganalisis pengaruh kegiatan ekstrakurikuler seni tari kreasi terhadap kecerdasan interpersonal anak kelompok B. Jenis penelitian ini yakni eksperimen semu (quasi eksperiment). Populasi dalam penelitian ini adalah anak kelompok B berjumlah 64 orang. Teknik sampling yang digunakan pada penelitian ini adalah Random Class Sampling. Sampel dari penelitian ini terdiri dari kelompok B1 berjumlah 18 anak, dan kelompok B2 berjumlah 24 anak. Dengan jumlah sampel yang diteliti berjumlah 42 anak. Metode dan instrumen pengumpulan data yang digunakan dalam penelitian ini yakni menggunakan lembar observasi. Teknik analisis data menggunakan analisis deskriptif, uji prasyaratan analisis dan uji hipotesis. Hasil uji efektivitas menunjukkan terdapat pengaruh yang signifikan kegiatan menari tari kreasi terhadap kecerdasan interpersonal anak kelompok B. disimpulkan bahwa kegiatan menari tari kreasi meningkatkan kecerdasan interpersonal anak kelompok B. Implikasi penelitian ini diharapkan mampu memberikan gambaran terkait pelaksanaan kegiatan ekstrakurikuler dapat menigkatkan kecerdasan interpersonal anak.
FUTEBOL NO MODO DE PRODUÇÃO CAPITALISTA
Authors: Ribeiro Gabriel Gonçalves , Pereira Vanessa dos Passos
Published: January 2025

Este trabalho visa compreender e realizar uma análise crítica que perpassa o futebol inserido no modo de produção capitalista. O estudo faz uso do materialismo histórico dialético quanto ao método e em seu percurso metodológico apresenta uma pesquisa qualitativa, sem renunciar a um suporte quantitativo do tema. Ademais, seu objetivo é exploratório e tem como procedimentos uma pesquisa bibliográfica e uma pesquisa documental. Seu aporte teórico usa de conceitos marxianos e de interpretações de autores marxistas para abordar o futebol enquanto uma mercadoria, detentor de um valor de troca. Ademais, perpassa a trajetória do futebol dentro do modo de produção capitalista para apontar e suscitar reflexões acerca das relações de trabalho cada vez mais precárias existente na sociedade contemporânea, onde a espetacularização tem papel preponderante para a manutenção de um exército de reserva. Assim, este trabalho contribui com uma análise crítica acerca da manifestação dessa espetacularização e as transformações positivas e negativas de sua propagação.
Examining Government Support: Dynamics of Innovation and Human Capital in VOEs (BUMDES) Performance
Authors: Sari Nelly Purnama , Rachmina Dwi , Kolopaking Lala , Sanjaya Bima Ady
Published: January 2025

This study investigates the role of government support in enhancing the local economy by examining the effect of government support on the relationship between Human Capital, Innovation Capability, and Village-Owned Enterprises (VOEs) performance. The study involved 25 VOEs that participated in financial training provided by the Community and Village Empowerment Office in Wonogiri Regency, using the entire population as the sample. The data analysis utilizing SmartPLS 3.0 revealed that innovation capability positively affects VOEs performance, while human capital does not. Government support did not significantly influence the impact of innovation capability or human capital on performance. Despite substantial government training initiatives, VOEs performance showed limited improvement, highlighting a gap between training efforts and actual outcomes. The research suggests the need for stricter monitoring, better training standards, and ongoing mentorship to fully realize the benefits of external assistance. Additionally, improving managerial capacity through leadership development is recommended. A limitation of the study is the small sample size, focusing solely on VOEs receiving local government support, suggestingfuture research should examine a wider range of VOEs.
Efektivitas Pemanfaatan Aplikasi 3D (Vet & Skeleton Anatomy) Sistem Rangka Berbasis Android Untuk Meningkatkan Hasil Belajar Mahasiswa
Authors: Fitri Aryanti  , Tresnawati Cita , Nurkanti Mia , Suhaerah Lilis
Published: January 2025

Penelitian ini bertujuan untuk mengetahui efektifitas penggunaan aplikasi 3D (vet & skeleton anatomy) sistem rangka berbasis android untuk meningkatkan hasil belajar mahasiswa calon guru Biologi. Metode penelitian yang digunakan yaitu pre-experimental dengan the one group pretest-posttest design. Subjek penelitian ini yaitu 23 mahasiswa semester II disalah satu universitas swasta di Bandung yang diberikan pretest kemudian setelah diberikan perlakukan dilakukan posttest. Berdasarkan hasil analisis data diperoleh skor pretest sebesar 54.174 dan skor posttest sebesar 94.783 yang menunjukkan bahwa terjadi peningkatan hasil belajar mahasiswa pada materi sistem rangka. Selain itu juga diperoleh skor N-gain sebesar 0.849 yang menunjukkan bahwa peningkatan yang terjadi termasuk pada kategori tinggi. Pemanfaatan teknologi dalam pembelajaran yang semakin berkembang dapat memberikan pengaruh yang signifikan terhadap potensi dan hasil belajar mahasiswa karena dapat memberikan kemudahan bagi pengguna baik individu maupun kelompok dalam mengakses materi yang diberikan diberikan tanpa dibatasi ruang dan waktu.
Keanekaragaman Jenis dan Similaritas Gastropoda Mangrove Pada TN Baluran dan TN Alas Purwo
Authors: Ardiyansyah Fuad , Lina Susanti  , Hendri Budiawan
Published: January 2025

Keanekaragaman hayati memiliki manfaat baik secara ekologi, ekonomi, dan budaya yang harus kita jaga dan lestarikan salah satunya gastropoda mangrove. Diketahui TN Alas Purwo dan TN Baluran sama-sama memili vegetasi mangrove yang masih alami, sehingga perlu untuk dilakukan penelitian mengenai bagaimana keanekaragaman jenis gastropoda dan juga indeks similaritas kedua Taman Nasional tersebut terkait keberdaaan dan kesamaan jenis gastropoda. Metode yang digunakan dalam penelitian menggunkan purposive sampling dengan teknik pengambilan gasris transek menggunakan plot berukuran 2´2m2. Hasil penelitian didapatkan Keanekaragaman jenis pada Blok Jati Papak TN Alas Purwo terdapat 19 spesies, sedangkan pada Pantai Bama TN Baluran terdapat 21 spesies. Indeks similaritas pada kedua Taman Nasional tersebut dikatagorikan tinggi di stasiun 1 dan 3 (85%); stasiun 2 dan 3 (82%)  TN Alas Purwo dan katagori tinggi di stasiun 2 dan 3 (72%) TN Baluran dan sangat tinggi pada stasiun 1 dan 2 (97%) TN Alas Purwo; sangat tinggi di pada stasiun 1 dan 2 (98%); stasiun 1 dan 3 (95%) TN Baluran.