bluuebunny/crossref_metadata_2025 huggingface dataset:
Intestinal helminths infection of Reithrodontomys mexicanus (Rodentia: Cricetidae) from a Suburban Area in Medellín, Colombia
Authors: Llano Horwald , Aguilar Itzel , Orozco Natalia , Giraldo Laura , Zapata Gloria , z Daisy
Published: February 2025

Background:
Gastrointestinal parasites associated with small wild rodents in Colombia remain poorly understood.

Aim:
This study aimed to identify the intestinal helminths of Reithrodontomys mexicanus, a common wild rodent species, in rural areas of Medellín, Colombia.

Methods:
Between June and December 2022, 31 individuals were captured and sex-classified. Fecal samples underwent flotation and sedimentation analysis.

Results:
The overall helminth prevalence in R. mexicanus was 67.7% (21/31). Identified helminth egg morphotypes included: Ascarid (types 1 and 2), Dicrocoeliidae-like (types 1 and 2), Physaloptera sp., Strongyloides sp., Trichuris sp., and two unidentified nematode eggs.

Conclusion:
This study reveals that R. mexicanus hosts a diverse range of parasites, including those with significant public health implications such as Ascaris spp., Dicrocoelium spp., and Trichuris spp. Our findings contribute to the understanding of wild rodent helminth fauna in South America and provide the first documentation of parasites in R. mexicanus.
MRI diagnostics and management of idiopathic epilepsy in ring-tailed lemur (Lemur catta)
Authors: Plungyt Ieva , Jankauskas Martinas , Kvitka Dmitrij , ent Dalia , Gradeckien Aist
Published: February 2025

Background:
Epilepsy is a well-established and extensively studied condition in both human and veterinary medicine.

Case description:
A 4-year-old captive, intact male ring-tailed lemur (Lemur catta) presented with a 2-year history of recurrent seizures. History of disease, clinical and neurological examination, blood and immunological examination for Toxoplasma gondi and magnetic resonance imaging were conducted to identify potential underlying causes of the seizures. MRI findings were consistent with idiopathic epilepsy, and an antiepileptic drug therapy was initiated with oral phenobarbital 10mg/animal BID. Serum levels were monitored to ensure therapeutic efficacy. Following the initiation of treatment, the patient experienced successful control of seizures, with no significant adverse effects noted during the follow-up period.

Conclusion:
This case describes the diagnostic approach and management of seizures in Ring-Tailed lemur, a species, that has not been described before.
Exploring the SARS-CoV-2 spike protein destabilizer toxin from the scorpion, spider, and wasp group of toxins as a promising candidate for the identification of pharmacophores against viral infections
Authors: Germoush Mousa , Fouda Maged , Mantargi Mohammad , Sarhan Moustafa , AlRashdi Barakat , Massoud Diaa , Altyar Ahmed , Daim Mohamed
Published: February 2025

Background:
The SARS-CoV-2 virus is the infectious agent that causes coronavirus illness (COVID-19). The majority of virus-infected individuals will recover without the need for special care after experiencing mild to moderate respiratory symptoms. Some people, nevertheless, will get quite sick and need medical help. The choice of COVID-19 treatment should be made individually. The severity of the illness and the chance that it will worsen will determine the decision. Therefore, developing more potent medications is always a primary goal. Finding more effective drugs is a top priority. In this regard, natural animal toxins, such as toxin derived from scorpions, spiders, and wasps, have been found to include compounds that have significant therapeutic properties. Specifically, targeting the spike protein which acts as a gateway for the vires to enter the human or animal cells.

Aim:
This study focuses on the ability of toxins to destabilize the spike protein of SARS-CoV-2 virus, which is responsible for SARS-COV-2 pandemic.

Methods:
The active protein structure of the SARS-CoV-2, the toxins chosen obtained from the protein data bank RCSB-PDB, and the molecular structures of toxins that were not proteins were either obtained from PubChem or downloaded as computer structure models (CSM) from RCSB-PDB. Utilizing molecular docking software like ‘PyRx’, analyzers like ‘BIOVIA-Discovery studios’ and ‘Pymol’ and various techniques, the evaluation of the interactions between the spike protein and toxin was performed, to find possible pharmacophores that might serve as a foundation for upcoming medication development. The protein-ligand complex was put to test through the MD simulation via VMD/NAMD application to determine the complex stability.

Results:
Current research findings reveal intriguing binding affinities and interaction patterns between the toxin and the SARS-CoV-2 spike protein, where the complex was identified to be stable throughout the study resembling the cellular conditions via MD simulations. We discuss the implications of these interactions and how they might interfere viral infection and entry.

Conclusion:
Current study sheds light on a promising avenue for the development of antiviral therapies, leveraging natural venoms as a source of inspiration for pharmacophore-based drug discovery opposing viral infections.
Implantation of porcine amniotic epithelial cells model for myocardial infarction combined with cardiomyocyte therapy of pigs (Sus scrofa domestica)
Authors: Fitri Arni , Noviana Deni , Gunanti Gunanti , Esfandiari Anita , Subangkit Mawar
Published: February 2025

Background:
Myocardial infarction is the most common heart disorder in cardiovascular disease patients. Obstruction of blood flow to the heart causes ischemia and results in heart pump failure.

Aim:
This study aims to evaluate the effects of pAEC-based stem cell therapy alone and in combination with cardiomyocytes to understand its potential benefits in myocardial infarction treatment.

Methods:
In this study, we conducted myocardial infarction therapy using pluripotent stem cells derived from the amnion (AEC) implanted into the infarcted heart. Nine domestic pigs (Sus scrofa domestica), aged 3-4 months and weighing 35-40 kg, were used as models. The animal models were divided into three groups: the placebo myocardial infarction group, the myocardial infarction group treated with porcine Amniotic Epithelial Cells (pAEC) stem cells and the myocardial infarction group treated with amniotic epithelial stem cells combined with cardiomyocyte cells. Electrocardiography (ECG), Pulsed Wave (PW) Doppler, and biomarker examinations were performed to evaluate the effects of stem cell intervention on myocardial infarction.

Results:
Single pAEC stem cell therapy and its combination with cardiomyocytes in myocardial infarction lesions demonstrated improvements in VTI, particularly renal artery, mitral, and tricuspid valve compared to untreated infarction (placebo). Notably, single pAEC therapy significantly improved more than combining them with cardiomyocytes.

Conclusion:
Treatment with AEC stem cells alone resulted in more significant improvements in heart valve function and large blood vessels compared to combining AEC with cardiomyocytes. This study allowed us to understand better the effects of stem cell therapy on blood hemodynamics and biomarker parameters of heart injury.
Quality assurance in pharmaceutical manufacturing: bridging the gap between regulations, supply chain, and innovations
Authors: Ogbuagu Oluchukwu Obinna , Mbata Akachukwu Obianuju , Balogun Obe Destiny , Oladapo Olajumoke , Ojo Opeyemi Olaoluawa , Muonde Muridzo
Published: February 2025

Quality assurance (QA) in pharmaceutical manufacturing is essential for ensuring drug safety, efficacy, and consistency. As global pharmaceutical markets expand and regulations become increasingly complex, there is a pressing need for a holistic approach to integrate regulations, supply chain resilience, and technological innovations to maintain high-quality standards. This paper explores the critical role of regulatory frameworks, such as the FDA, EMA, and GMP guidelines, in ensuring compliance across diverse markets, while addressing the challenges associated with evolving laws and documentation requirements. It delves into the vulnerabilities within the pharmaceutical supply chain, including risks related to raw material sourcing, counterfeit drugs, and cold chain logistics, and highlights strategies such as traceability, serialization, and real-time monitoring to mitigate these risks. The paper also examines how AI, automation, blockchain, and continuous manufacturing revolutionize the quality assurance landscape by improving process control, transparency, and predictive capabilities. Ultimately, this paper recommends harmonizing regulatory frameworks with emerging technologies, ensuring compliance through AI-driven systems, and fostering the next generation of automation in pharmaceutical manufacturing to ensure product integrity and safety in a rapidly evolving global market.
Research on Low Power Methods for Wireless Devices in Intelligent Industrial Communication Systems
Authors: Su Xuan
Published: February 2025

Industrial communication devices achieve low power consumption and high efficiency in WirelessHART networks through hardware and software optimization. Hardware advancements include advanced manufacturing processes, highly integrated chips, low-power components, dynamic power management, energy harvesting, and intelligent sensor technologies. On the software side, the network manager optimizes routing schedules, the data link layer adopts TDMA technology, and the protocol stack is tailored for specific scenarios. These measures ensure the network's efficient operation. Furthermore, the integration of smart devices enhances monitoring, control, and energy-saving capabilities, enabling real-time data analysis and decision-making. This fosters innovation and sustainability in industrial automation, paving the way for advanced analytics and seamless connectivity among different devices and systems in industrial environments.
Incremental Attribute Reduction Using Self-information based on Improved Generalized Decision Approximation for Dynamic Ordered Decision Systems
Authors: Zou Bo
Published: February 2025

In the era of big data, massive amounts of ordered data exist in all walks of life. Incremental attribute reduction of ordered data has become a widely studied topic, which can identify essential attributes and reduce the dimensionality of attributes, as well as improve the classification ability of learning models. However, most of the existing incremental attribute reduction methods can only handle ordered decision system (ODS) with one-dimensional variations, and the application scenarios are relatively ideal. Therefore, in response to this situation, this paper introduces an incremental attribute reduction method based on the dominance-based rough set approach (DRSA) to effectively handle multi-dimensional variations of ODS. First, this paper uses self-information as an uncertainty measure, which can simultaneously consider certain and possible classification information to more accurately capture the preference relation between attributes and decisions. Secondly, the matrix calculation process is optimized by processing the dominance-based relation tiangular matrix (tDRM), which greatly saves time. In addition, a more efficient generalized decision (GD) method is introduced to calculate the upper and lower approximation, which further improves the computational efficiency of the algorithm. Finally, the verification on multiple datasets shows that the proposed algorithm can effectively remove redundant attributes and greatly save the reduction time.
Face Super-resolution Reconstruction based on Adaptive Global Residual Network
Authors: Li Jinzhao , Zhang Yali
Published: February 2025

At present, some face super-resolution works do not consider the degradation factors of face images in reality, and the resolution of reconstructed face images is not high enough, and there are problems such as blur, smoothness, artifacts, and unclear details. This paper uses adaptive activation function and global attention mechanism to propose an adaptive global residual network AGRNet for face super-resolution reconstruction; then uses a formula with random parameters to simulate the process of face degradation in reality, and uses multi-scale discriminators and composite loss functions to expand it to AGRNet-HR, which can reconstruct degraded faces in reality with higher resolution. The SSIM value and PSNR value of AGRNet on the Helen test set are 0.8352 and 27.54 respectively, the LPIPS value of AGRNet-HR on the CelebAHQ test set is 0.2633, and the FID value on the real test set composed of low-resolution faces and old photos in CelebA is 26.27. Comparing the index values and image visual effects of the experimental results with mainstream methods, it shows that AGRNet and AGRNet-HR are more competitive, and the effectiveness of the key modules of the model is verified through ablation experiments.
Application Requirements of Artificial Intelligence in the Field of Building Materials Informatization
Authors: Zheng Junfeng
Published: February 2025

Under the background of the continuous development of information technology, strengthening the construction of grassroots material management information platform of construction industry projects is conducive to promoting the information development of construction industry and improving the economic benefits of enterprises. For the construction industry, material management is not only to ensure the supply demand and normal operation of the project site, but also an important part of the profits of each project. However, the information platform of construction enterprises often has problems such as cumbersome operation, low professional level of operators, repeated and cumbersome data recording. Moreover, the large amount of data in the grassroots construction project department can rarely be effectively used, and the large amount of data recorded by the system rarely forms historical data through analysis and forms empirical data for the enterprise. From the perspective of optimization of information platform by artificial intelligence technology, this paper describes the existing problems of information platform for building materials management, analyzes the development needs of information management for grassroots materials in construction industry projects, and then takes the price analysis of steel reinforcement materials in material management as an example to illustrate. A constructive idea is put forward for the optimization scheme of artificial intelligence technology embedding information platform.
Unique 9-cm Tumor Thrombus Extension to the Heart in Metastatic Recurrence of Endometrial Stromal Sarcoma.
Authors: Daghistani Ghaida
Published: February 2025

51-year-old Saudi woman who presented with chronic lower back pain, which started six months ago. The patient reported occasional complains of postural dizziness associated with Pre-syncope attacks, pleuritic chest pain, and shortness of breath. Past surgical history was notable for total abdominal hysterectomy and bilateral salpingo-oophorectomy for LG-ESS 12 years ago. The imaging findings are strongly suggestive of a metastatic recurrence of LGESS with vascular invasion. The tumor thrombus extends from the common iliac vein into the inferior vena cava (IVC) and reaches the right atrium, indicating advanced disease. Despite previous tumor resection, the propensity of LGESS for recurrence and its affinity for venous invasion is evident.

Enhanced CT performed showed an intracardiac larger thrombus within the right atrium extending into the inferior vena cava and common iliac veins. MRI showed expansion of the IVC by the filling defect with post-contrast enhancement of the tumor thrombus.

Leiomyosarcoma with tumor
RCC with tumor
Uterine leiomyoma with vascular
Primary IVC
Bland

The patient was referred to vascular surgery as a case of intravascular mass, most likely secondary to metastatic LG-ESS. The patient underwent cytoreduction of the intravenous tumor through thoracotomy and laparotomy done by multidisciplinary team members including cardiac surgery, vascular surgery, and gynecology surgery. Final histopathology confirmed metastatic LG-ESS of the right atrium, inferior vena cava, and common iliac veins.
Papillary Thyroid Cancer Radiology: Pathology Case
Authors: Aljuhani Zeyad
Published: February 2025

14 years old previously medically free.
presented with history of progressive
neck welling for couple of months prior
to presentation. denied compressive
symptoms, no personal history of head
or neck irradiation, negative family
history.
Diagnostic Hypothesis
CT :
The left thyroid lobe shows a lobulated
mass with heterogeneous enhancement .
It is well defined and do not show signs
for invasion to the surrounding structures,
however, there is a mass effect exerted
over the trachea and esophagus, causing
a deviation to the right side.
Multiple enlarged and heterogenous
lymph nodes are seen at mid and lower
jugular ( III and IVa) level.
Most likely diagnosis based on clinical
history and physical examination is
goiter , after investigation was done
including the radiological imagine , our
case refuse the diagnostic hypothesis
and malignancy is expected
Innovation Framing and Firm Performance: A Meta-Analysis of Success, Failure, and Transformation
Authors: Puttaraju Karthik Hosavaranchi
Published: February 2025

Innovation outcomes—success, failure,
and transformation—play a cri tical role in shaping
firm performance. This study presents a
comprehensive meta-analysis of the role of
innovation framing in mediating these outcomes and
its subsequent impact on organizational performance.
Drawing from an extensive review of
interdisciplinary literature, the paper identifies
framing processes, frame types, and frame
characteristics as pivotal mechanisms influencing
innovation success. The analysis develops a unified
framework linking innovation framing to firm-level
performance metrics, providing both theoretical
advancements and actionable insights for aligning
framing strategies with organizational goals. This
study contributes to innovation management
literature by offering a structured approach to
understanding the nuanced effects of framing on
innovation outcomes and firm performance.
Keywords: Innovation Framing, Firm Performance,
Meta-Analysis, Success, Failure, Transformation,
Strategic Communication, Sensemaking, Frame
Types, Frame Characteristics, Organizational
Performance, Upper Echelons Theory, Managerial
Discretion, Financial Performance, Innovation
Success, Transformation Outcomes, Contextual
Factors, Environmental Dynamism, Competitive
Advantage, Organizational Innovation.
Empowering University Students Through Holistic Self-Esteem Development: A Pathway to Personal and Academic Success
Authors: Plysang Suppalak
Published: February 2025

This research investigates the multifaceted relationship between self-esteem and various dimensions of university students’ experiences, including academic performance, personal development, and social interactions. Using a mixed-methods approach, the study analyzed quantitative data from 28 participants measured by the Rosenberg Self-Esteem Scale (RSES), complemented by qualitative insights from semi-structured interviews with 10 students. Descriptive statistics revealed an average self-esteem score of 25.43, with significant positive correlations found between self-esteem and academic performance (GPA) (r = 0.45, p < 0.05). Multiple linear regression analysis further underscored GPA as a critical predictor of self-esteem (p = 0.04). Thematic analysis of interview data illuminated key factors influencing self-esteem, such as academic success, peer support, and personal challenges. These findings highlight the pivotal role of academic achievement and social support in shaping self-esteem, offering valuable insights for developing targeted interventions in educational settings. The study underscores the necessity for universities to implement comprehensive programs that foster self-esteem, thereby enhancing student engagement, motivation, and overall success.
6Ps Guidelines for Constructing an English Questionnaire for a Survey in Social Science Research
Authors: Plengkham Benjawan , Rattanasak Sonthaya , Sukserm Patsawut
Published: February 2025

This academic article provides the essential steps for designing an effective English questionnaire in social science research, with a focus on ensuring clarity, cultural sensitivity and ethical integrity. Developed from key insights from related studies, it outlines potential practice in questionnaire design, item development and the importance of validity and reliability. The article proposes a set of guidelines, referred to as the 6Ps: 1) performing a comprehensive literature review, 2) prioritizing clarity and simplicity in question design, 3) providing for cultural sensitivity, 4) posing a balance between question types, 5) piloting tests to ensure validity and reliability, and 6) protecting participants through ethical considerations. These guidelines aim to help researchers to improve the reliability and validity of their questionnaire data before implementing the study, leading to more meaningful and reliable methodology in social science research.
Relationship Between Environmental Education and Environmental Sustainable Development
Authors: Woraphong Seree
Published: February 2025

The current environmental situation is in a state of crisis, marked by the phenomenon of global warming, which reveals a worsening scenario that is gradually encroaching closer to us. There is a pressing need for global collaboration to address these issues through environmental education and to ensure long-term sustainability. Environmental education can play a transformative role in shaping human behavior, ensuring the sustainable preservation of valuable resources for the future. The objectives of environmental education are designed to ensure that individuals and communities achieve awareness, knowledge, attitude, skills and participation. To achieve successful outcomes in sustainable environmental development, it is essential to utilize environmental education processes. This approach aims to foster behavioral changes among individuals, enhancing environmental awareness and cultivating the necessary skills through practical engagement in environmental initiatives. Such transformations can lead to significant changes within society and communities, ultimately paving the way for ongoing sustainable environmental development.
AI-Powered Learning Activities for Enhancing Student Competencies in Electronic Media Production: A Classroom Action Research
Authors: Sripan Thanapat , Lertpongrujikorn Nutwichida
Published: February 2025

Artificial intelligence’s (AI) quick development has had a big impact on education, especially in industries like electronic media production that call for both creative expression and practical abilities. In a classroom action research setting, this project investigates how to use AI-powered learning activities to improve students’ proficiency in producing electronic media. We conducted the research with 15 undergraduate students from Kasetsart University’s Digital Technology for Education (DTE) program. Students utilized AI-driven tools, including StoryboardThat, Canva, Microsoft Bing, CapCut, and Adobe Premiere Pro, to complete four media production tasks: storyboard, 3D objects, infographics, and multimedia. The findings revealed that AI tools, particularly user-friendly platforms like Canva and CapCut, significantly improved students’ technical skills and creative capabilities, with high satisfaction reported for tools that simplified complex tasks. Reflective journals indicated enhanced efficiency, creativity, and self-assessment among students. However, tools with complex interfaces, such as Adobe Premiere Pro, presented challenges, underscoring the need for targeted instructional support. This study highlights the potential of AI in fostering both technical proficiency and creative autonomy in media production education while also identifying areas for future improvement in AI tool accessibility and usability.
Nosotrxs y los otros: pertenencia, exclusión y complejidades en la definición de una comunidad LGBTIQ+
Authors: Mera Adasme Inka , Mera Adasme José
Published: February 2025

Aunque en la literatura académica se ha naturalizado referirse a la diversidad sexual y de género como “comunidad”, es poco lo que se profundiza en este concepto. Para las ciencias sociales, buscar una “comunidad ideal” conlleva el riesgo de invisibilizar la riqueza del fenómeno humano en aras de una unidad superficial; por otra parte, una visión atomizada que niegue lo comunitario también resulta inapropiada. En este trabajo recorremos los matices asociados al concepto de comunidad y cómo se relaciona con el devenir de la diversidad sexogenérica en Chile. Finalmente, proponemos que la forma ética de aproximarse a ellas exige reconocer su capacidad de articulación y la existencia de un territorio simbólico de resistencia, pero sin negar sus quiebres, tensiones y contradicciones. La invitación es a relacionarse con esta y otras comunidades oprimidas desde un posicionamiento reflexivo, orientado a respetar la complejidad de su historia, intersecciones, multiplicidad y potencial social.
S'ha comès un crim: Aplicació de la tècnica d'espectrotometria visible com a anàlisis forense
Authors: Martínez López Emma , Olivella Costa Angels
Published: February 2025

Mitjançant aquesta pràctica l’alumnat de secundària (4t ESO) i batxillerat podrà entendre els principis bàsics de l’espectrofotometria visible amb un cas pràctic d’un crim fictici on hi haurà dues proves claus: un suc de pinya i una taca de sang. L’espectrofotometria visible és la tècnica que mesura la llum absorbida per una mostra en el rang de l’espectre visible (390-750 nm). Cada mostra colorejada presenta una espectre d’absorbància diferent que el diferencia de la resta.
La motxilla de ciències naturals: una col·lecció d'eines i materials per a despertar l'interès en la natura
Authors: Torkar Gregor , Rode Žan , Rožman Hana
Published: February 2025

En aquest article es presenta una motxilla preparada i dissenyada en el context del projecte Multipliers. L’objectiu d’aquesta motxilla és promoure l’interès i la observació de la natura en famílies amb infants a l’etapa d’infantil i primària. La motxilla està formada per diverses eines i materials i acompanyada de petites propostes que poden fer de llançadora cap al respecte i el coneixement de la natura.
Design and thermodynamic analysis of a hybrid gas turbine-steam methane reforming system
Authors: Tran Minh Hoang , Hosseini Seyed Ehsan
Published: February 2025

This study proposed and evaluated the new hydrogen production design of the Gas Turbine - Steam Methane Reforming (GT-SMR) hybrid process. The superheated byproduct gas from the GT system is utilized as a combustion agent for the boiler of the SMR system, minimizing the required heat energy input for hydrogen production. The overall energy consumption and energy generation are calculated and simulated to determine the system's operational performance. Under no efficiency losses, the design is tested to understand how the significant input parameters such as temperature, pressure, and steam/methane ratio (S/C) affect the system's overall performance. From the data generated, the system's efficiency was directly proportional to the pressure and temperature while inversely proportional to the S/C values. However, in actual applications, the menthane conversion rate often fluctuated depending on the adjustments of these factors, regardless of their thermodynamic relationship with the SMR efficiency. With the addition of other energy waste information, a complete simulation showed the reversed effect of pressure. Although the temperature and S/C ratio improved the overall performance, the hybrid system efficiency reached its limits beyond certain values.
State-of-the-art techniques and algorithms for swift and precise fault detection and protection in transmission lines
Authors: Xulu Siphesihle Sibonelo , Mendu Bongumsa , Monchusi Bessie Baakanyang
Published: February 2025

Transmission lines are crucial for power systems, enabling bulk power transfer from generation sites to load centers. They face challenges such as faults, losses, and delays, necessitating effective management and maintenance strategies. The aim of this paper is to conduct a systematic literature review focusing on techniques and algorithms for swift and precise fault detection and protection in transmission lines. The methodology included a collection of relevant papers, a filtering process, eligibility identification, synthesizing, and trend analysis. This process was facilitated using the Scopus database and VOSviewer software. Results of this survey revealed some key noticeable aspects (among others) across the studies, which included the utilization of diverse signal processing and machine learning techniques to analyze voltage and current signals for identifying faults. This work will contribute by reviewing recent advances in signal processing, analyzing methods to enhance fault detection speed and accuracy, exploring the use of machine learning and neural networks in fault detection models, investigating advanced relay technologies and protection schemes, evaluating statistical techniques for fault isolation, and examines indexing techniques and evolutionary programming tools for precise fault identification, while also proposing future research directions.
An innovative control of the charging and discharging for the battery management operation using a bidirectional converter
Authors: Khan Mohammad Junaid , Akhtar Md. Naqui , Afthanorhan Asyraf
Published: February 2025

This research article explores the control strategies for managing the battery charging and discharging operations using a bidirectional converter. Bidirectional converters offer flexibility and allow batteries to receive and deliver power. Battery systems are an important part of electrical vehicles (EVs), and they can be charged by renewable energy integration and the public grid. The battery bank manages the DC (Direct Current) link and fulfills the load requirement for charging. The main aim of this article, the proportional integral derivative (PID) controller, is to design and control the duty cycle of the bidirectional converter to ensure efficient and safe battery operation. In this regard, the current of battery banks is regulated during the charging and discharging phases. To ensure optimum charging and discharging control, further work can be implemented using artificial intelligence (AI) based technology in the battery management system (BMS) operation.
Experimental investigation of a cooling and cleaning system for enhanced photovoltaic panel performance
Authors: Toujani Roua , Msadya Nadia , Abdelkafi Achraf , Masmoudi Abdelkarim , Krichen Lotfi
Published: February 2025

This paper presents the design and development of a cooling and cleaning system for photovoltaic (PV) installations. The key contribution of this work is the use of an Arduino-controlled closed-loop water circulation system to clean and cool the PV panels. The proposed solution incorporates sensors to measure the temperature, current, and voltage of the PV panels, as well as the water level in the tank. These measurements are used to control the pump's operation, regulating the flow of water across the PV panels. The study aims to improve the performance of PV systems by addressing two main challenges: the heating of the panels and the accumulation of dust. In regions like the Sahara, dust and sand reduce the efficiency of PV panels, necessitating regular cleaning. To address these issues, a cooling and cleaning prototype was developed. Tests and temperature measurements were performed under identical weather conditions (i.e., the same ambient temperature and solar radiation), demonstrating the effective operation of the proposed system and an improvement in PV efficiency. The automated cooling and cleaning system successfully reduced the panel temperature and boosted the output power to 287.81 W under radiation of 761.13 W/m², resulting in an efficiency of 19.15%. In contrast, under the same radiation, the uncooled panels produced only 283.48 W, yielding an efficiency of 18.86%, a 4.33 W difference.
AI-enabled geospatial solutions for waste collection and forecasting for smart cities application: insights from Kathmandu municipality
Authors: Shah Krishna Bikram , Visalakshi S. , Panigrahi Ranjit
Published: February 2025

Effective waste management is a critical global concern, especially in urban areas where efficient systems are essential for reducing litter, minimizing environmental contamination, and enhancing urban aesthetics. This study presents a comprehensive framework for optimizing waste management in Kathmandu Municipality, focusing on the spatial allocation of collection points, bin requirements, and predictive waste level modeling. This approach is based on the primary parameters of the rate at which waste is generated, the capacity of a bin, the density of waste, and the frequency of collection. The model also accommodates waste segregation-this means effective bin deployment across categories of waste to avoid wasting resources. It includes a time-series forecasting model, simulating waste accumulation for 7 days with seasonality influences, holiday influence, fluctuation of the population, and socio-economic influence. Trend of generation waste is reported at an interval of 6 hours in order to enhance precision within the schedule of collecting wastes. Lower risk of overflow of the bins due to the services before bins overflow. This holistic framework shall consequently provide data-driven scalable solutions to Kathmandu Municipality in optimizing its routes for collecting wastes, enhancing resource efficiency, and adapting the patterns of producing wastes on a real-time basis.
Integración de la tecnología en la enseñanza: diseño de una propuesta didáctica basada en el enfoque TEIDE
Authors: Barletta Virginia Laura Bravo , Hollisch Gisele
Published: February 2025

La materia Elementos de Álgebra y Geometría se encuentra en el primer año de la carrera Ingeniería en Informática de la Universidad Argentina de la Empresa (UADE). Su modalidad puede ser tanto presencial como remota. Está compuesta por cinco unidades: números reales, números complejos, polinomios, rectas y planos, cónicas y cuádricas. Nos centramos en la unidad correspondiente a rectas y planos ya que, a partir de um análisis de los exámenes parciales hemos detectado graves errores algebraicos y conceptuales en los ejercicios vinculados a estos conceptos. En este trabajo propondremos una propuesta didáctica de la unidad correspondiente a rectas y planos, fundamentada en el enfoque TEIDE (Transformación Educativa basada en Investigación y Desarrollo docente en Educación híbrida) que promueve el uso de las tecnologías al momento de diseñar y evaluar un proyecto de enseñanza. Para ello, haremos un análisis de los errores que presentan los alumnos en este tema al cursar la materia de manera remota y, luego, diseñaremos una propuesta didáctica para el desarrollo de dicho contenido, la cual podría ser utilizada en clases tanto remotas como presenciales.
Efeitos do tabagismo durante a gestação: complicações maternas e fetais
Authors: Szulczewski Eduarda Francisca , Marinho Beatriz Siqueira , Seabra Lucas dos Anjos , Ataíde Egle Oliveira , Xavier Karla Priscilla de Paiva , Lopes Rayara Batista , Costa Shamantha Teófilo , Costa Shanaeltho Teófilo , Espíndola Thiago de Oliveira , Marinho Vitória Siqueira
Published: February 2025

Introdução: nos eua, cerca de 7,2% das mulheres já relataram tabagismo durante o período gestacional, o qual corresponde a uma substância sabidamente teratogênica que pode implicar de forma direta ou indireta em efeitos adversos para a saúde materna ou fetal. Objetivo: analisar quais são as principais evidências disponíveis sobre a associação entre o tabagismo materno durante a gestação e o desenvolvimento de complicações materno-fetais. Métodos: corresponde a uma pesquisa revisional sistemática, com metodologia qualitativa, da literatura atual existente nas bases de dados medical  literature  analysis  and  retrieval  system  online (medline), biblioteca virtual em saúde (bvs) e embase, por meio da utilização de descritores em saúde (decs/mesh) e o operador booleano “and”, conforme representado: (“tabagismo” and “complicações na gravidez”), (“dependence, nicotine” and “pregnancy complications”), (“dependence, nicotine” and “pregnancy”). Resultados: a pesquisa e seleção dos estudos resultou na análise final de 12 artigos científicos, os quais foram organizados e sistematizados conforme os seus resultados de pesquisa e incluídos neste estudo. Também foram utilizados critérios de inclusão e exclusão previamente definidos e filtros de pesquisa, visando selecionar os principais estudos que abordam a relação entre tabagismo durante a gestação e efeitos sobre a mãe e a prole. Conclusão: dentre as principais complicações fetais oriundas do tabagismo gestacional observa-se o baixo peso ao nascer e o desenvolvimento de alterações neuropsicológicas, como o transtorno do déficit de atenção e hiperatividade. Enquanto fígado gorduroso, resistência à insulina e obesidade foram as principais complicações maternas.
Statistical Analysis of Sales Growth and Capital Intensity in Tax Avoidance in the Consumer Non-Cyclicals Sector on the Indonesia Stock Exchange
Authors: Nirmala Yeni , Nabila D. Tialurra Della
Published: February 2025

The consumer non-cyclicals sector refers to the primary goods sector that tends to have more stable performance even during economic recessions. This condition allows companies in this sector. The objective of this research is to investigate experimentally the partial and concurrent impacts sales growth and capital intensity on tax evasion. Using a sample of 150 businesses, the study takes a quantitative approach and applies multiple linear regression analysis using SPSS 26. The results of the research show that capital intensity has a positive and major impact on tax avoidance, sales growth has a negative and large impact on tax avoidance, and both sales growth and capital intensity have a significant impact on tax avoidance at the same time.
The Influence of Service Quality, Perceived Service Quality, Perceived Price Fairness on Customer Loyalty of Gojek Users in Bandung Through Customer Satisfaction and Brand Image a Conceptual Paper
Authors: Rafiansyah Muhammad , Widodo Arry , Silvianita Anita , Rubiyanti Nurafni
Published: February 2025

The growth of the ride-hailing industry in Indonesia which is estimated to reach US$9 billion in 2025 and Indonesia which is the country ranked first in Southeast Asia with the largest market value of online ride hailing and food market makes every service provider must be able to increase and maintain existing customer loyalty, especially Gojek as a ride-hailing service provider from Indonesia. Various previous studies have explored the importance of customer loyalty for a company and how to improve it. Furthermore, the results of the exploration explain that service quality, perceived service quality, perceived price fairness have an effect on customer loyalty with customer satisfaction and brand image mediating it. Based on this, this conceptual paper is expected to be able to provide further and better understanding of things that can influence customer loyalty from the ride-hailing industry.
Analysis of the Influence of Consumer Animosity, Religiusity, and Social Media Sentiment on Product Boycott Decisions
Authors: Prastiwi Anis , Harsoyo Titik Desi
Published: February 2025

This study examines the impact of Consumer Animosity, Religiosity, and Social Media Sentiment on Product Boycott Decisions. Using purposive sampling, data were collected from 100 respondents who were aware of Boycott campaigns against pro-Israel products and actively use social media. The research employed a questionnaire to gather data, which was tested for validity and reliability. Classical assumption tests confirmed that the data were normally distributed and free from multicollinearity and heteroscedasticity. The findings reveal that Consumer Animosity, Religiosity, and Social Media Sentiment each have a positive and significant effect on Product Boycott Decisions. These results suggest that these factors play a crucial role in shaping consumer behavior in Boycott campaigns.
Life Strategy of Female Farm Workers at PT. Toba Pulp Lestari After Divorce
Authors: Sitorus Ida Kristina , Achmad Nurman , Daulay Harmona
Published: February 2025

This study examines the survival strategies of female daily laborers at PT. Toba Pulp Lestari following divorce. The main focus is to understand the social and economic dynamics experienced by these women as they face life challenges post-divorce. The research employs a qualitative approach with a case study method, utilizing in-depth interviews and participatory observations as data collection techniques. The findings reveal that female daily laborers adopt various strategies to survive, including leveraging social networks, and managing finances strictly. Support from family, local communities, and social organizations plays a crucial role in helping them cope with economic pressures and the social stigma often associated with divorce. However, the study also highlights that limited access to education and skill training poses significant barriers to improving their quality of life.
Digital Marketing Strategies to Increase Online Business Sales through Social Media
Authors: Wirianda Clara
Published: February 2025

The development of technology and information has changed the habits of modern society, including in the use of the internet and social media. Globally, Indonesia holds the fourth-largest internet user base. Consequently, social media has emerged as a primary platform for digital activities, including digital marketing. This marketing approach leverages social media and the internet to enhance the reach and impact of product or service promotion. This study conducts a systematic literature review (SLR). The review analyzes digital marketing strategies implemented through social media. Data were collected from various sources such as journals, articles, and books. The results of this study aim to understand effective digital marketing methods in increasing sales through social media.
Legal Review of Compensation for Revocation of Land Rights for the Purpose of Toll Road Construction
Authors: Leyla Vani Panjaitan  , Janpatar Simamora  , Jinner Sidauruk
Published: February 2025

Land issues in Indonesia are an important issue that affects people’s lives, especially in the context of infrastrcture development. This study aims to analyze the form of compensation for the recovation of land rights for toll read construction and legal remedies that can be taken by land owners if compensation is not paid. The research method used is normative juridical with a qualitative approach, referring to the applicable laws and regulations, especially Lae No. 2 of 2012 and UUPA No. 5 of 1960. The results of the study show that the land acqusition proscess involves the stages of invertaarization, value determination, deliberation, compensation, and release of land rights. Compensation can be in the form of money, replacement land, resettlement, or shares. In the event of disagreement, the landowner has the right to file an objection to the District  Court and proceed to the Supreme Court if dissatisfied with the decision. This study emphaisizes the importance of legal protection for landowner in the process of land acquisition for the public interest.
Investigating the Cybersecurity Implications of Open Banking and Application Programming Interfaces (APIs) in the Financial Sector
Authors: Hossain Mohammad Amir , Raza Md. Adil , Rahman Jami Yaseer
Published: February 2025

Open banking and the use of APIs within the financial industry are improving how financial services are delivered by stimulating innovation, enhancing competition, and providing customer-oriented solutions. But that evolution has also brought its own heavy cybersecurity challenges. In this article we focus on the cybersecurity risks of open banking and APIs, including issues such as data breaches, and risks from third-party entities. Based on case studies, vulnerability assessments, and interviews with experts, the study highlights key threats and analyzes existing mitigation measures such as secure API development, authentication protocols, and regulatory compliance frameworks. Results highlight the need for strict cybersecurity measures built upon a Zero Trust Architecture, including the use of an API gateway and regular penetration testing to secure sensitive financial data, safeguarding an open banking landscape. The results of this research will assist financial institutions, developers, and regulators in securing next-generation open banking platforms without hindering innovation and risk management.
The Influence of Board Diversity on Earnings Management in Non-Financial Companies in 2020-2023
Authors: Iqbal Muhammad , Zuraida Zuraida , Mulyany Ratna
Published: February 2025

This research aims to investigate the impact of gender diversity, age diversity, independence, educational background diversity, and tenure diversity on earnings management in non-financial companies listed on the Indonesia Stock Exchange from 2020 to 2023. The sample includes non-financial companies listed before 2020 and remaining listed during the observation period. The sample selection was conducted using simple random sampling with Slovin's formula, resulting in 88 companies and 723 observations. The analysis shows that gender, age, independence, educational background, and tenure diversity reduce earnings management in non-financial companies listed on the Indonesia Stock Exchange from 2020 to 2023. These results imply that board diversity should be considered in shaping decisions and practices related to earnings management. Policies supporting diversity should be integrated into corporate governance strategies to enhance transparency, accountability, and reduce harmful earnings management practices.
THE EFFECT OF LEADERSHIP STYLE AND WORK ENVIRONMENT ON EMPLOYEE PERFORMANCE AT THE AERODYNAMICS, AEROELASTICS, AEROACOUSTICS LABORATORY (LA3-BRIN) IN THE SCIENCE AND TECHNOLOGY PARK BJ HABIBIE SETU, TANGERANG SELATAN
Authors: Rachmawan Ade , Sunardi Didi , Suherman Asep
Published: February 2025

This study aims to analyze the influence of leadership style and work environment on employee performance at LA3-BRIN. The research employs a quantitative associative method with a saturated sampling technique, involving 80 employees as respondents. Data collection was conducted through questionnaires, and the analysis was carried out using multiple linear regression to examine both partial and simultaneous effects of the independent variables on employee performance. The findings reveal that leadership style does not significantly affect employee performance, while the work environment has a strong and positive influence. A well-structured and comfortable workplace, including air circulation, lighting, and noise control, enhances employee motivation and productivity. Although leadership style does not have a direct impact, it plays an indirect role in shaping organizational culture and engagement. The study concludes that improving the work environment and refining leadership approaches can enhance overall employee performance.