bluuebunny/crossref_metadata_2025 huggingface dataset:
PRODUÇÃO E QUALIDADE DE FEIJÕES CULTIVADOS NO ALTO JURUÁ
Authors: SOUSA GUIOMAR ALMEIDA , Siviero Amauri , Hernandes Emanuele Elisa , Bassinello Priscila Zaczuk , Teixeira Mauro César , Mattar Eduardo Pacca Luna , Braga Altemir Da Silva
Published: February 2025

O objetivo deste trabalho foi avaliar aspectos da produção e qualidade de feijões cultivados na região do alto Juruá, Acre. Nesta pesquisa foram analisados os sistemas de produção e a qualidade nutricional de seis variedades de feijão comum (Phaselous vulgaris) e oito de feijão caupi (Vigna unguiculata) coletadas na região. As entrevistas de campo foram realizadas analisando a variedades, calendário agrícola, mão de obra, uso de tecnologia e comercialização de grãos. Foram analisadas as variáveis: biometria do grão, umidade, proteína, lipídios, cinzas, fibra bruta e antocianinas. A produção de feijões no alto Juruá é tipicamente familiar com venda do excedente para o mercado. O feijoeiro comum é cultivado em terra firme no sistema abafado e o feijão caupi nas várzeas. Existe alta variabilidade genética entre os feijões avaliados para características nutricionais, revelando material genético rico em proteínas e antocianinas.
O AGENTE DE DESENVOLVIMENTO RURAL NO MERCADO DE TRABALHO NA AMAZÔNIA ORIENTAL
Authors: Chaves Paixão Adrya Rayssa , Sablayrolles Philippe Jean Louis
Published: February 2025

A dinâmica desenvolvimentista do meio rural no Brasil é marcada por importantes momentos que apontam diferentes ideologias e maneiras de promoção do desenvolvimento rural. Essa dinâmica é refletida diretamente nas condições e no modo de operação do mercado de trabalho para os agentes de desenvolvimento rural. Logo, este artigo, originado de um Trabalho de Conclusão de Curso de Bacharelado em Desenvolvimento Rural da Universidade Federal do Pará, busca apresentar as instituições (públicas)/entidades (privadas) deste mercado de trabalho, e identificar as competências e habilidades demandadas para os profissionais atuantes nos processos de desenvolvimento rural. A metodologia utilizada foi a aplicação de questionários por meio de entrevistas realizadas com representantes das instituições/entidades selecionadas para a pesquisa. Constatou-se que há uma divergência nas formas de atuação e promoção do desenvolvimento rural entre o setor público e o setor privado, além de registrar as competências e habilidades necessárias para trabalhar com o desenvolvimento rural.
Migraciones y Vulnerabilidad. Alcance y protección
Authors: La Spina Encarnación , Arcos Ramírez Federico , I. Barrio Clara , Castaño María José , Diez Isabel , Rodríguez Maribel , Díaz Lafuente José , Caicedo Camacho Natalia , Claro Quintáns Irene , Abrisketa Uriarte Joana , Merino-Sancho Víctor , Gandarias Goikoetxea Itziar , De Lucas Larrea Beatriz
Published: February 2025

El reconocimiento excepcional de la vulnerabilidad migrante y el compromiso de mayor protección de sus necesidades especiales y específicas plantean un reto inaplazable en el ámbito de la regulación, la interpretación y la práctica jurídica.

Siguiendo el actual abordaje socio-jurídico de la vulnerabilidad, en este volumen colectivo se analizan algunas cuestiones escogidas que permiten revisar en clave teórica no solo la contraposición «vulnerabilidad-dominación» del control migratorio sino también determinar en sede normativa y jurisprudencial el alcance y protección de la vulnerabilidad en contextos migratorios. En concreto, se propone su revisión en las políticas de asilo de la Unión Europea, en la jurisdicción regional europea (el Tribunal Europeo de Derechos Humanos y el Tribunal de Justicia de la Unión europea) así como en las pautas interpretativas dadas por el sistema interamericano. Todo ello sin perjuicio de prestar atención, en un último conjunto de contribuciones, al régimen jurídico de protección de la especial vulnerabilidad de los menores en situación de detención administrativa, los estándares internacionales de protección exigibles, las implicaciones de la vulnerabilidad en el asilo por género, así como, la situación de violencias que viven las mujeres migrantes en frontera sur y zonas de tránsito.

Este monográfico recoge el debate y las aportaciones presentadas al seminario internacional «Protección de las personas refugiadas especialmente vulnerables en frontera, tránsito y destino». Participan once investigadores y expertos en inmigración y asilo pertenecientes a la Universidad de Almería, Universitat de Barcelona, Universitat Rovira i Virgili, Universidad Complutense de Madrid, Universidad Pontificia Comillas, Universidad de Deusto y entidades como CEAR. La organización del seminario y esta publicación se enmarcan en el Proyecto Beca Leonardo a Investigadores y Creadores Culturales 2018 de la Fundación BBVA dirigido por la Dra. Encarnación La Spina, «La protección jurídica de las personas refugiadas en situación de vulnerabilidad y su impacto en los procesos de integración», y han contado con el apoyo del Grupo de investigación «Derechos Humanos y retos socioculturales en un mundo en transformación» del Instituto de Derechos Humanos Pedro Arrupe, Universidad de Deusto.
Independent Curriculum Development Strategy in Islamic Religious Education: Conceptual Studies of Building Character and Nationality
Authors: Nurdiyanto Nurdiyanto , Musyfiq Ahmad , Karman Karman , Nursobah Asep
Published: February 2025

This research aims to develop a unique curriculum for Islamic Religious Education (Pendidikan Agama Islam/PAI) and how to build character and nationality in students in an independent curriculum. The approach used in this research is qualitative, using library research methods. The data collection technique in this research is collecting from the sources mentioned, classifying the data, and continuing with the conclusion. The data analysis technique uses descriptive analysis. The results of this research show that there are several strategies for developing the Islamic religious education curriculum in building national character and insight, including Discovery Learning (DL), Inquiry Learning (IL), Problem-Based Learning (PBL), Project Based Learning (PJBL), and Scientific Learning (SL). So, there is a second alternative to carrying out this learning by using learning methods that focus on how students work in understanding, analyzing, and practicing. The implication of this research is that curriculum development and students' national attitudes is the foundation for the learning process using contemporary methods.
The Use of Cell Phones in Accessing Social Media by Students During Learning Process in English Classroom
Authors: Fadillah Ridha , Purnawarman Akhmad Adi
Published: February 2025

This study investigates a phenomenon in the educational world: using cell phones during teaching and learning in English classes. Cell phones here are referred to as inappropriate use, not as a supportive device in teaching and learning, reducing students' attention span. This research was conducted in 2 high schools, one in Lombok City, West Nusa Tenggara, and one in Banjarbaru City, South Kalimantan. Fifteen students were involved in this research as respondents, and 2 English teachers as informants. Random sampling was used to determine the research sample. Interview techniques were used to collect data. The research results indicated that all respondents used cell phones to access their social media accounts during the teaching and learning process in the class, ranging from 5 minutes to 30 minutes in 1 lesson to reduce boredom in class. A negative impact of using cell phones is that this action can divide and reduce students' attention to the lessons, which can ultimately reduce students' understanding of English subjects. The study recommends that teachers be aware of this phenomenon and always activate the students by presenting appropriate teaching methods and materials.
Design Guide for Integral CCS-MPC Applied to a Surface Permanent Magnet Synchronous Motor with HiL Implementation
Authors: Bartsch Arthur G. , Trentini Rodrigo , Nied Ademir , De Oliveira José , Fernandes Filipe , Agnolo Sabrina F. dell , Cavalca Mariana S. M.
Published: February 2025

This paper presents a design guide for applying an integral convex control set model-based predictive control (CCS-MPC) in a surface permanent magnet synchronous machine (SPMSM). The proposed CCS-MPC has an intrinsic integral action that eliminates the need of an external disturbance estimator for disturbance rejection. In the control design, this work presents a relation between the open-loop cost function weighting factor and the closed-loop bandwidth factor, which could be used to improve the controller design. Several tests are performed in the hardware-in-the-loop experimental, as sinusoidal and step reference tracking. Experimental frequency responses are also provided.
Renal shear wave elastography in familial Mediterranean fever patients without nephropathy
Authors: Kök Mehmet , Balkarlı Ayan Ayşe , Ülgen Sinan
Published: February 2025

Objectives: Due to its lethal effects, early diagnosis of high risk patient groups for renal involvement especially amyloidosis is critical for Familial Mediterranean Fever (FMF). Amyloidosis, defined by the accumulation of extracellular amyloid protein material in the kidney, can reduce the elasticity of the renal parenchyma. Shear wave elastography (SWE) is a new ultrasonographic imaging modality that evaluates tissue elasticity. This pilot study assessed the renal parenchyma of FMF patients using SWE.
Methods: Fifty-three FMF patients and 51 age- and sex-matched healthy control participants were included in this study. Participants with amyloidosis, estimated glomerular filtration rate (eGFR) less than 60 mL/min and/or signs of nephropathy (proteinuria, hematuria, renal tubular acidosis) were excluded. Routine history, physical, laboratory examinations (blood urea nitrogen, creatinine, C-reactive protein, urine dipstick test, spot proteinuria) and renal ultrasound were performed. SWE imaging was performed to measure renal parenchymal stiffness.
Results: There was no significant correlation between SWE values (elasticity and velocity) and age, eGFR, serum blood urea nitrogen, and creatinine in the comparison of SWE findings of FMF patients and control groups. SWE values were statistically higher in FMF patients than in the control group (P=0.002 and P< 0.001 for elasticity and velocity, respectively).
Conclusions: Increased renal stiffness in FMF patients may indicate early renal involvement (especially amyloidosis), suggesting SWE as a potential non-invasive diagnostic tool for early detection.
Factors Affecting the Performance of the Beef Value Chain in the Zambezi Region of Namibia
Authors: I Sibanga Nyambe , Sisinyize Nico
Published: February 2025

The purpose of the study was to measure factors affecting the performance of the beef value chain in the Zambezi region to identify ways through which the value chain can be improved. The study adopted a mixed research method. A total of 71 beef value chain actors were sampled using a non-probability sampling technique. Self-administered questionnaires were developed and administered by the researcher. Collected data was analyzed using Statistical Package for Social Sciences (SPSS) version 2.0, Microsoft Excel, and Amos Graphics software, using a Confirmatory Factor Analysis (CFA). The study found that veterinary extension services and market information were statistically significant while animal diseases and beef trade policies were statistically insignificant. In conclusion, the beef value chain in the Zambezi region of Namibia is faced with market constraints. The livestock market has been closed for a considerable amount of time because of the ongoing FMD outbreaks in the region. The study suggests that value chain actors, particularly farmers, improve animal husbandry by making sure there are effective disease control and extension services available. While improved dissemination of market information through various possible mass media was also recommended. Another recommendation was made for policymakers to consider including the commodity-based trade policy in their domestic beef trade policy as it seems to be the best approach that can allow beef produced in the Zambezi region of Namibia access to beef markets
The Impact of University-Industry Collaboration on Graduate Employability After COVID-19: A Literature Review
Authors: Julian Du Plessis Davy , Angula Nikodemus , Du Plessis Cherley C , Tokwe Celeste
Published: February 2025

University-industry solid collaboration in the modern world emphasizes its potential to enhance graduate employability in a post-COVID-19 era. Strengthened collaboration between universities and industries promote the integration of real-world concepts into academic discourse to improve student readiness for the job market while allowing students to engage in applied learning during their tertiary studies. The methodology employed for this study primarily involves the systematic review and synthesis of related literature highlighting the importance of robust collaborations between universities and industries to enhance graduate employability. The study further probes the alignment of educational programs with national development goals and job market demands. The authors of this literature review support their arguments concerning various studies and research findings, highlighting the significance of industry connections, collaborations, and benefits to enhance graduate employability. They stress the need for further research to consider contextual factors and develop specific competencies for employability, particularly after COVID-19.
The Mongol Invasion of Hungary in 1241–1242. New Perspective
Authors: Sebők Ferenc
Published: February 2025

The Mongols invaded Hungary in the spring of 1241 and occupied it until the middle of 1242. Recent research has unearthed new data in connection with Hungarian resistance against the Mongols and on the basis of these new observations of historians and archaeologists we can conclude that local resistance was substantially stronger than had been concluded earlier. The Mongols faced serious difficulty in expanding their occupation in Hungary. New light has also been shed on the history of the battle of Muhi, which was the decisive turning point in the Mongolian campaign. Hungarian troops, especially warriors of the military orders (Knights Templar and Knights Hospitaller) caused serious damage to the Mongols, who later regarded this battle as the most difficult one that had been fought against European foes. Western and eastern parts of the country alike put up serious resistance during the months following the battle of Muhi. The Mongols were reluctant to cross the Danube River because formidable Hungarian forces were gathering in Transdanubia (the western part of the country), and when they finally did cross the river in January 1242, they laid waste only to the vicinity of the main roads in those parts of the country. Although the extent of devastation was staggering, the country was able to recover from it in a few years, and would have been ready to face a second Mongol invasion if it had materialised.
Changing Craft in the Early Renaissance. Florentine Citizens and the Profession of Arms (1427–1430)
Authors: Picchianti Simone
Published: February 2025

Between the end of the 14th century and the beginning of the 15th century, the Republic of Florence was almost constantly engaged in war. As a result, public debt in a short time increased from 1 million to 3 million florins. The most difficult time for the Republic occurred between the years 1425 and 1433. In this phase, authorities experimented with new forms of taxation to cope with the growing expenses, including the cadaster (Catasto) created in 1427, pursuant to which Florentine citizens were forced to list all their assets in addition to other personal information.
Based on the information provided by this document, it has been possible to identify all Florentine citizens who were soldiers at the time. Furthermore, thanks to the data extracted from the accounting records of the Florentine government of 1430, it has been possible to evaluate an interesting change in society: several artisans, of various ages, abandoned their professions to become soldiers. According to the documents, such a choice was seen as a chance to one’s economic condition thanks to the considerable wages and good working conditions offered by the Republic compared to those associated with work as artisans.
Evaluating Different Application Methods of Silicon on Growth, Nutritional Aspects, and Yield of Barley under Rainfed Conditions
Authors:   Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi 46300, Pakistan, Ali Habib
Published: February 2025

Barley, a versatile cereal crop, is crucial for global food security due to its adaptability to diverse climates. It serves as a vital source for human consumption and livestock feed, contributing significantly to the global food supply. However, some innovative techniques are needed to enhance nutritional aspects in order to enhance the morphological and yield traits of Barley. The basic aim of this pot study was to explore the different application methods of silicon including seed priming (0 ppm, 25 ppm, 50ppm and 75 ppm) and foliar application (0 ppm, 25 ppm, 50ppm and 75 ppm) on growth, nutritional aspects and yield traits of Barley (Sultan-17). The 0 ppm dose was considered as control. The experiment was designed under CRD and repeated three times. The results showed that foliar application of silicon @75 ppm gave best growth of Barley as compared to seed priming treatments. The N, P and K of both grains and straws were significantly increased in foliar application @75 ppm as compared with control. Similarly, the yield components of Barley including biomass and grain yield were also augmented. It is suggested to apply silicon @75ppm as a foliar for better growth and yield production of Barley.
Toward a Situation-Specific Theory of Nursing Organizational Well-Being: An Early-Stage Development
Authors: Della Bella Valerio , Fiorini Jacopo , Sili Alessandro
Published: February 2025

Background and Purpose:A good understanding of nursing organizational well-being can allow nurse managers to monitor their work context, guide clinical practice, and improve care quality. Theoretical studies of nursing organizational well-being are limited, and this article proposes a situation-specific theory.Methods:The article’s content explains the development of this situational theory of nursing organizational well-being following the integrative approach by Im and Meleis by checking assumptions for theorization, initiating theorization through multiple sources, reasoning through critical analyses, documenting theorization, and reporting and sharing theorization.Results:Eight theoretical propositions are conceptualized, emphasizing the interconnectedness of various professionals and work context factors with nursing organizational well-being and related outcomes. Nursing demands and nursing resources have been identified in this situational theory as crucial in determining nursing organizational well-being.Implications for Practice:This article discusses the implications of developing knowledge on nursing organizational well-being. Using this situational theory, researchers can understand the variables determining nursing organizational well-being, and the theory can guide their research study. Health care managers can also use this situational theory to evaluate the nursing work environment and the variables influencing it, subsequently improving outcomes for nurses, organizations, and patients.
FAMÍLIAS (IM)POSSÍVEIS SEGUNDO O PODER JUDICIÁRIO:
Authors: Dantas Germano Gomes Janaina
Published: February 2025

Resumo: Neste artigo busco restituir parte de minha pesquisa de campo de doutorado realizada com autos de Destituição do Poder Familiar e profissionais que atuam com referidos casos. A partir da trajetória de Martine, demonstro alguns dos mecanismos pelos quais as famílias extensas são desconsideradas como arranjos de cuidado possíveis para as suas próprias crianças acolhidas. Demonstro, por meio de entrevistas coletadas, a presença de imposição da adoção como arranjo preferível ao investimento em famílias de origem por meio de diversas formas, dentre elas, a pressão sobre as técnicas das varas. À guisa de conclusão, aponto para o desequilíbrio entre o reconhecimento de novas famílias, dentre elas as receptoras de crianças pela adoção, e o permanente alheamento de direitos das famílias que perdem suas crianças para o Poder Judiciário e que, potencialmente, serão colocadas em famílias substitutas.
A New Method in Machine Learning Adapted for Credit Risk Prediction of Bank Loans
Authors: Hjouji Zaynab , Hasinat Imane , Hjouji Amal
Published: February 2025

The recent global financial crisis has significantly impacted the financial system, leading to major bank failures and prompting a reevaluation of credit risk management models. Given its critical role in maintaining banking stability, effective credit risk forecasting methods are essential. In light of this, various studies have introduced techniques to analyze, detect, and prevent bank credit defaults. In this paper, we present a new approach for predicting credit risk, known as the “Method of Separating the Learning Set into Two Balls.” This method involves partitioning a learning set into two distinct categories: the "Performing Ball," which contains feature vectors of customers with non-defaulting credits, and the "Non-Performing Ball," which includes vectors of customers with defaulting credits. To predict a customer’s default risk, it is sufficient to determine which ball their feature vectors belong to. If a customer’s vectors do not fall into either category, additional analysis is required for making a credit decision. We evaluated the performance of this method through extensive experimental tests and a comparative analysis. The findings suggest that our approach shows considerable promise for enhancing credit risk prediction in the banking sector.
Machine learning methods for modelling and predicting dust storms in Iraq
Authors: Hayawi Heyam , Al-Hashimi Muzahem , Alawjar Mohammed
Published: February 2025

Dust storms are a significant problem that impacts humans, the environment, and the economy in Iraq, especially in the Baghdad, Nineveh, and Basra provinces, which have the most vital and substantial urban agglomerations in Iraq. These areas are heavily affected by dust storms. The monthly dust storm data and factors based on temperature, surface pressure, wind speed, wind direction, humidity, and precipitation were sourced from the Iraqi Meteorological Organization and Seismology and NASA from January 1981 to December 2022.In this study, we used the principal components intended to reduce the interrelated variables and capture the components that account for at least 80\% of the total variance in the data set. Various supervised machine learning algorithms created a model to analyze and predict the monthly frequency of dust storms in the three provinces until March 2027.
Our findings indicate that the Additive Regression model, employing the IBk lazy algorithm for the Basrah and Nineveh regions and the KStar lazy algorithm for Baghdad, outperformed other methods in terms of accuracy. The results suggest a reduction in the occurrence of dust storms in the three provinces, with this downward trend projected to persist over the next 40 months.
Unraveling the Intuitionistic Octagonal Fuzzy Travelling Salesman Problem via Dhouib-Matrix-TSP1 Heuristic
Authors: Dhouib Souhail , Miledi Mariem , Loukil Taicir
Published: February 2025

The Travelling Salesman Problem (TSP) is an NP-hard problem of optimization that its goal is to obtain the shortest cycle among all cities that should be visited only once by a salesperson. The main goal of a salesperson is to visit each city only once and to obtain the distance traveled as well as the travelling costs as low as possible. In real-life and due to the absence of information, variables coming from experts’ collected data are usually uncertain and imprecise. In such cases, the decision maker cannot exactly expect the TSP cost. That’s why in this paper, the TSP under the intuitionistic octagonal fuzzy environment is considered and solved by adapting the very recent greedy method namely Dhouib-Matrix-TSP1 (DM-TSP1). This heuristic is very simple and it is composed of four steps. DM-TSP1 uses the Sum metric and is enriched with a ranking function. This current research work presents the first resolution of the TSP under the intuitionistic octagonal fuzzy domain. For this reason, new case studies are generated in order to carry out the experimental results. Moreover, a step-by-step execution of DM-TSP1 is detailed in order to prove its effectiveness.
Central Metric Dimension of Rooted Product Graph
Authors: Liliek Susilowati  , Estuningsih Nenik , Widya Damayanti Tyas , Yusuf Saifuddin Muchammad , Bustomi  , Janet Osaye Fadekemi
Published: February 2025

The Central metric dimension is a type of metric dimension on graph. Some special graphs for which the central metric dimension have been found include path graph, cycle graph, complete graph, and complete bipartite graph. The aim of this study is to determine the central metric dimension of rooted product graph. Let G  be a connected graph of order n and H is a sequence of  n rooted graphs H1, H2, H3, ..., Hn . The rooted product graph  G and H denoted by GoH . In this paper, we determine the central metric dimension of rooted product graph  which denoted by dimcen( GoH). The results obtained for GoH  where H is a sequence of rooted graphs that all have the same radius and the rooted vertex is the central vertex. For H is a sequence of rooted cycle graph, the cycle with the largest radius has an impact on the central set, while the central metric dimension is affected by the central set of GoH . For H  is a sequence of rooted complete graph, the central set is affected by the central set of a graph G, while the central metric dimension is affected by the central set of the graph G.
Developing a Semi-parametric Zero-Inflated Beta Regression Model Using P-splines: Simulation and Application
Authors: Seliem Muhammad M. , El-Sayed Sayed M. , Abonazel Mohamed R.
Published: February 2025

Analyzing proportional data with excessive zeros and complex relationships presents a significant challenge in various fields. To address this, we propose a developing semiparametric Zero-Inflated Beta Regression (ZIBE) model incorporating P-splines. Our ZIBE.pb model offers a unique combination of flexibility and interpretability, allowing for the modeling of non-linear relationships and the identification of factors contributing to zero inflation. Extensive simulations demonstrate the ZIBE.pb model's superior model fit and predictive accuracy compared to existing parametric models. The proposed estimators exhibit minimum GD, AIC, BIC, and MSE, as confirmed by Monte Carlo simulation studies and real-world applications. Our ZIBE.pb model has broad applications in various fields, including political science, economics, and social sciences. To demonstrate its utility, we applied it to the Varieties of Democracy (V-Dem) dataset. In conclusion, our ZIBE.pb model offers a robust and versatile tool for analyzing proportional data with excessive zeros and complex relationships. Its ability to capture both linear and nonlinear effects, coupled with its interpretability, makes it a valuable asset for researchers across various domains.
A Sine-Cosine Algorithm Approach for Optimal PV and D-STATCOM Integration in Distribution Systems
Authors: Montoya Oscar Danilo , Ramírez-Vanegas Carlos Alberto , Grisales-Noreña Luis Fernando
Published: February 2025

This study proposes the use of the Sine-Cosine Algorithm (SCA) to optimize the integration of solar photovoltaic (PV) systems and distribution static compensators (D-STATCOMs) in medium-voltage distribution networks. The SCA is applied to determine the optimal placement and sizing of both PV units and D-STATCOMs, utilizing a hybrid discrete-continuous approach for codifying the solutions. A power flow analysis, based on the successive approximations method, is employed to assess system performance, including voltage regulation and power distribution. The optimization is carried out using a master-slave framework, where the SCA handles the optimization process, and the power flow model evaluates the technical outcomes. Case studies on 33- and 69-bus systems reveal that the SCA achieves significant reductions in system losses, with improvements of approximately $35.5227$\% and $35.6331$\%, respectively. Moreover, the SCA demonstrates computational efficiency, outperforming other methods such as the Vortex Search Algorithm (VSA) and previous benchmarks. All simulations and validations were conducted using MATLAB 2024a, confirming the SCA’s robustness for this application.
Application of the Periodic Self-Exciting Threshold Autoregressive Model
Authors: Bezziche Nesrine , Merzougui Mouna
Published: February 2025

In this paper, we analyze Algerian temperature data using the periodic self-exciting threshold autoregressive (PSETAR) model. Despite the significant advantages offered by the periodic SETAR model in capturing seasonal and threshold-based behaviors, it remains underutilized in practical applications. The goal of this work is to demonstrate the utility of this model by applying it to Algeria's temperature series. We examine the properties of the model and discuss its estimation using the least squares method. The linearity is tested using the likelihood ratio test, and we extend the local asymptotic normality to p regimes. This analysis provides a deeper understanding of the temperature dynamics in Algeria, highlighting the model's ability to capture seasonal variations and thresholds.
A Statistical Model for Analyzing the Impact of GDP Components on the Manufacturing Sector in Saudi Arabia
Authors: Alanazi Bader S
Published: February 2025

This study examines the relationship between the Gross Domestic Product (GDP) of the manufacturing sector and various independent sectors in Saudi Arabia, utilizing a comprehensive dataset from 2010 to 2023 sourced from the General Authority for Statistics. A robust statistical model was developed to analyze these relationships, revealing significant insights into how changes in different sectors influence manufacturing GDP. Our findings indicate that increases in GDP from specific sectors, such as mining and construction, lead to growth in manufacturing GDP, while increases in other sectors, such as transport and community services, may negatively impact manufacturing performance. These insights are vital for policymakers, emphasizing the interconnectedness of economic sectors and the need for coordinated strategies. This research not only contributes to a deeper understanding of the dynamics shaping Saudi Arabia’s economic landscape but also provides a valuable foundation for future studies and policy interventions aimed at strengthening the manufacturing sector and promoting sustainable economic development.
Acute low- and higher-volume resistance circuit training improves immediate and short-term cognition in young adults
Authors: Croce Ronald V. , Horvat Michael
Published: February 2025

BACKGROUND: Exercise’s significance in promoting health and fitness cannot be overstated. In addition, various exercises have been shown to enhance cognition. The combination of aerobic and strength benefits in resistance circuit training (RCT) offers a unique opportunity to study how two different outcomes of exercise interact to enhance cognitive function. Such research could lead to new recommendations for improving cognitive and motor performance.
AIM: The present study investigated the role of two volumes of resistance circuit training (Low Volume [LV-RCT] of approximately 11 min and Higher Volume [HV-RCT] of approximately 23 min) on information processing speed and executive function.
METHOD: Thirty adult male and female volunteers (18, male; 12, female) between the ages of 18-25 (mean [± standard deviation]: 22.37 ±2.06) were randomly recruited and assigned to either a non-exercise-control (CON), an LV-RCT, or an HV-RCT group. Participants took part in an introductory session followed one day later by an exercise session. During the exercise session, participants participated in timed single-choice, multichoice, and dual-task response-time tasks to ascertain information processing and the Trail Making Test to ascertain executive functioning. Information processing was analyzed by fractionating total response time into reaction and movement times. In the exercise session, measurements were taken pre-exercise, 1 min (immediately), and 20 min (short-term) postexercise. The observed benefits in the intervention groups were compared to those in the control group using repeated measures ANOVA.
RESULTS: The following outcomes were found: (1) on the single-choice task, there were no significant differences among groups; (2) on the multichoice task and dual-task, both RCT groups displayed decreased reaction (p < 0.05, η2 = 0.04, p < 0.01, η2 = 0.04, respectively) and response times (p < 0.05, η2 = 0.05, p < 0.001, η2 = 0.10, respectively) postexercise, with no differences between RCT groups; and (3) On the Trail Making Test, participants in the HV-RCT condition, and not the LV-RCT condition, improved their executive function scores (p < 0.05, η2 = 0.06).
CONCLUSION: Despite small effect sizes for some data, results indicated that resistance circuit training can improve young adults’ cognitive processing speed on complex stimulus-response tasks and executive functioning. The combination of aerobic and strength benefits found in circuit training emerges as a unique opportunity to study how two different outcomes of exercise interact to enhance cognitive function.
The current state of artificial intelligence in robotic esophageal surgery
Authors: Poulos Constantine M. , Cassidy Ryan , Khatibifar Eamon , Holzwanger Erik , Schumacher Lana
Published: February 2025

Artificial intelligence (AI) is becoming increasingly utilized as a tool for physicians to optimize medical care and patient outcomes. The multifaceted approach to managing esophageal cancer provides a perfect opportunity for machine learning to support clinicians in all stages of management. Preoperatively, AI may aid gastroenterologists and surgeons in diagnosing and prognosticating premalignant or early-stage lesions. Intraoperatively, AI may also aid surgeons in identifying anatomic structures or minimize the learning curve for new learners. Postoperatively, machine learning algorithms can help predict complications and guide high-risk patients through recovery. While still evolving, AI holds promise in enhancing the efficiency and efficacy of multidisciplinary esophageal cancer care.
Level of Knowledge and Use of Traditional Medicine in Outpatients of Mekarsari Health Center, Barito Kuala Regency
Authors: Rakhmatullah Aditya Noviadi , Yunarti Azmi , Chandra M. Andi , Muliyati Imas
Published: February 2025

The use of herbal medicine as a treatment is increasing, especially in Mekarsari District, Barito Kuala Regency. Without proper education, traditional medicine practices can have a negative impact on health. The purpose of this study was to determine the level of knowledge and use of traditional medicine in patients seeking treatment at the Mekarsari Health Centre. This study used a descriptive method with a quantitative approach. The population in this study were all outpatients at the Mekarsari Health Centre in January 2023. This study used a purposive sampling technique in sampling and used a validated questionnaire instrument in data collection. The results showed that 47% of respondents had a sufficient level of knowledge, 25% had a good level of knowledge, 14% had a poor level of knowledge, and 13% had a poor level of knowledge. Based on the method of obtaining traditional medicine, it is known that 55% said that it was from herbal medicine sellers in the form of powder or infusions with a duration of use ranging from one to three days. The majority of traditional medicine users use it to relieve pain and aches (22%). Based on the effects after consuming traditional medicine, 78% said they felt better and 99% said they had no side effects.
Promosi Kesehatan “Penggunaan Obat saat Puasa” di Posyandu Lansia Puskesmas Pekapuran Raya
Authors: Azzahra Diva , Lingga Herningtyas Nautika , Abdina Nisa
Published: February 2025

Saat seseorang berpuasa pada bulan ramadhan, terjadi perubahan pola waktu makan yang dapat berpengaruh terhadap waktu penggunaan obat. Hal tersebut akan memberikan dampak pada efek terapi dari suatu obat yang dihasilkan. Diperlukan suatu pemahaman yang baik untuk mencapai efek terapi yang optimal khususnya terkait aturan dan waktu penggunaan obat selama berpuasa. Kegiatan promosi kesehatan yang dilaksanakan bertujuan untuk meningkatkan pengetahuan dan pemahaman pasien lanjut usia mengenai penggunaan obat saat bulan puasa. Kegiatan dilaksanakan dalam posyandu lansia bersama dokter, bidan, analis laboratorium, apoteker penanggung jawab, dan kader posyandu. Metode yang digunakan adalah ceramah dengan bantuan media edukasi berupa poster yang dibagikan kepada peserta. Melalui kegiatan ini, dapat diketahui bahwa sebagian masyarakat masih tidak mengetahui kapan waktu yang tepat untuk mengonsumsi obat pada saat berpuasa, sehingga terkadang obat tidak dikonsumsi dan pengobatan menjadi dilewatkan. Promosi kesehatan memberikan dampak peningkatan pengetahuan pada masyarakat khususnya lansia tentang penggunaan obat saat puasa. Diharapkan dengan meningkatnya pengetahuan, maka pengobatan yang dijalani saat puasa menjadi lebih maksimal. Kata Kunci:Edukasi, Lansia, Pengetahuan, Poster, Puasa Changes in meal patterns can affect drug use during the month of Ramadan when someone is fasting. This will impact the therapeutic effect of a drug produced. A good understanding is needed to achieve optimal therapeutic effects, especially regarding the rules and time of drug use during fasting. The health promotion activities aimed to increase the knowledge and understanding of elderly patients regarding the use of drugs during the fasting month. The activities were carried out in the elderly posyandu with doctors, midwives, laboratory analysts, pharmacists in charge, and posyandu cadres. The method used was a lecture with poster media. Through this activity, it can be seen that some people still do not know when the right time to take medicine while fasting is, so sometimes the medicine is not consumed and treatment is missed. Health promotion has an impact on increasing knowledge in the community, especially older people, about the use of drugs during fasting. It is hoped that with increased knowledge, the treatment carried out during fasting will be more optimal.
Promosi Kesehatan Tentang Kolesterol Kepada Masyarakat di Kegiatan Posyandu Puskesmas Sungai Ulin Banjarbaru
Authors: Mulia Mulia , Maryani Henny , Sari Okta Mutia , Mahdi Nur , Hadi Samsul , Setiawan Deni
Published: February 2025

Salah satu penyebab gangguan kardiovaskular disebabkan oleh tingginya kadar kolesterol dalam jangka waktu lama. Masyarakat seing salah dalam memahami kolesterol, gejala kolesterol dan pengobatannya. Kegiatan ini bertujuan untuk meningkatkan pemahaman tentang kolesterol pada kegiatan posyandu di wilayah kerja Puskesmas Sungai Ulin Banjarbaru. promosi kesehatan ini dilakukan dengan cara memberikan edukasi langsung kepada masyarakat dengan bantuan leaflet dan banner. Leaflet yang dibuat memuat informasi terkait definisi kolesterol, gejala, penyebab, pantangan dan rekomendasi makanan serta golongan obat. Evaluasi promosi kesehatan menggunakan metode pretest dan posttest secara tertulis. Kegiatan promosi kesehatan ini dilakukan pada hari Sabtu, 15 Juni 2024 di Posyandu Nor Hidayah dan dilakukan sekitar pukul 09.00-11.00 WITA. Hasil evaluasi pretest dan posttest pada 18 peserta menunjukkan penilaian rata-rata dari 43,28 menjadi 100. Kegiatan promosi kesehatan ini berhasil meningkatkan pemahaman dan pengetahuan masyarakat yang mengikuti posyandu berdasarkan hasil evaluasi kegiatan. Kegiatan ini diharapkan mampu menambah wawasan peserta dalam memahami profil lipid sehingga mampu mengatur pola makan dan penanganan gangguan kolesterol. Kata Kunci: Kolesterol, Lipid, Posyandu, Leaflet  One of the causes of cardiovascular disorders is high cholesterol levels over a long period of time. People often misunderstand cholesterol, cholesterol symptoms, and its treatment. This activity aims to enhance the understanding of cholesterol through integrated health post-activities in the Sungai Ulin Banjarbaru Health Center work area. This health promotion is carried out by providing direct education to the community with the help of leaflets and banners. The leaflets provide information on cholesterol definition, symptoms, causes, prohibitions, and recommendations for food and drug groups. The evaluation of health promotion uses written pretest and posttest methods. The Nor Hidayah Integrated Health Post hosted this health promotion activity on Saturday, June 15, 2024, from 09.00 to 11.00 WITA. The results of the pretest and posttest evaluations on 18 participants showed an average score of 43.28 to 100. This health promotion activity has succeeded in increasing the understanding and knowledge of the community who attended the posyandu based on the results of the activity evaluation. This activity is expected to be able to increase participants' insight in understanding lipid profiles so that they are able to regulate diet and handle cholesterol disorders.
Kejadian Penyakit Antraknosa Yang Disebabkan Oleh Colletotrichum sp. Pada Tanaman Cabai Rawit (Capsicum frutescens L.) Di Kecamatan Landasan Ulin Banjarbaru
Authors: Luis Pankrasius Ivan , Liestiany Elly , Salamiah Salamiah
Published: February 2025

Penelitian ini bertujuan untuk melihat kejadian penyakit antraknosa pada buah cabai yang terserang oleh cendawan patogen Colletotrichum sp. yang menyerang tanaman cabai rawit di lahan pertanian yang ada di Banjarbaru. Metode penelitian ini menggunakan metode stratified purposive sampling. Metode stratified purposive sampling adalah satu teknik pengumpulan data sampel penyakit yang dimana secara acak serta memperhatikan suatu tingkatan atau stratifikasi pada elemen populasi yang akan ditentukan dan diamati. Penelitian ini menggunakan metode penelitian survei dengan mengambil kasus kejadian penyakit pada pertanaman cabai rawit yang terserang patogen antraknosa di lahan pertanian cabai rawit di Kecamatan Landasan Ulin Tempat atau lokasi tempat pengamatan ditentukan secara purposive sampling atau pengambilan lokasi secara sengaja, yakni dengan pertimbangan pada buah cabai yang terinfeksi antraknosa. Pada tiap lahan pertanaman cabai rawit dengan rata-rata total kejadian penyakit antraknosa yang ada pada buah dan tanaman cabai rawit selama 5 minggu berturut-turut pada Kelurahan Guntung Manggis memiliki persentase kejadian penyakit antraknosa dengan total sebesar 11.15%, sedangkan pada Kelurahan Loktabat Utara pada lahan tanaman cabai rawit dengan persentase kejadian penyakit total 15.59% dan pada Kelurahan Landasan Ulin Utara Jalan Sukamara dengan kejadian 4,20%
Problem and solution of stock waqf practice in Indonesia: Stakeholder's point of view
Authors: Niswah Farokhah Muzayinatun , Hakimi Fifi , Fathurochman Sarrah Fitrianni , Hafizah Iffah , Indrawan Imam Wahyudi
Published: February 2025

IntroductionThe flexibility of the cash waqf enables this Islamic social financial instrument to enter various sectors. Along with technological developments, various forms of cash waqf, such as stock waqf, have emerged. However, stock waqf practices in Indonesia face numerous challenges, leading to limited public awareness. This study aims to identify the primary problems and solutions in the practice of stock waqf in Indonesia.ObjectivesThe objective of this research is to examine the key problems and propose solutions for the practice of stock waqf in Indonesia by leveraging the Analytic Network Process (ANP) for data analysis. MethodThis study combines literature data with in-depth interviews involving stock waqf stakeholders, including the Indonesia Waqf Board (BWI), Indonesia Stock Exchange, waqf issuers, and stock waqf investors. The ANP method was used to analyze the data and identify priority issues and solutions.ResultsThe research reveals that the primary issue in stock waqf practice is low literacy about stock waqf, with the solution being the socialization of stock waqf and enhancing Sharia stock literacy. Additionally, the study identifies the low literacy of productive waqf, public doubts about the sharia compliance of stock waqf, nazir's limited understanding of stock waqf, and the lack of detailed regulations as significant challenges. Corresponding solutions include the socialization of productive waqf, education on Islamic capital market investments, improved nazir training, and the establishment of specific regulations for stock waqf. ImplicationsThe findings suggest that increasing public awareness and education about stock waqf and Sharia stocks, along with better training for nazir and clear regulations, are essential for optimizing the development of stock waqf in Indonesia. This study provides valuable references for BWI and the Indonesia Stock Exchange to enhance the practice and management of stock waqf.Originality/NoveltyThis study offers a comprehensive analysis of the problems and solutions for stock waqf in Indonesia from the perspective of stakeholders. This study contributes to the limited literature on individual stock waqf and employs the ANP method to propose practical solutions for improving stock waqf practices.
Theory of Differences Between Elements: Explanation of the Differences Between Quantum Physics and the Theory of General Relativity
Authors: Cardoso Carlos Eduardo Ramos
Published: February 2025

The Theory of Differences between Elements explains the reasons for the differences in physical concepts between different elements, such as quantum physics and the Theory of General Relativity, which are explained by an excess of observations. Thus, it is possible to conclude from the observations that the differences are motivated by the reactions between the elements, by the composition of the elements and by the intensity of the specific physical concept that promote losses and gains of characteristics. Therefore, there is no general similarity between quantum physics and the Theory of General Relativity. The study aims to understand the elements and their physical concepts that make up the Universe.
The Sympathetic Nervous Influence on Hematopoiesis Up to Date
Authors: Maestroni Georges
Published: February 2025

Hematopoiesis is a tightly regulated process taking place in specialized bone marrow structures called hematopoietic niches. In these structures, hematopoietic stem cells produce all hematopoietic lineages by their self-renewal and differentiation abilities. Sympathetic nerve fibers, entering the bone marrow in association with blood vessels, regulate on a circadian basis the hematopoietic stem cells and leukocytes migration in and out the bone marrow. This cellular traffic, that is mainly regulated by beta-adrenergic receptors expressed on mesenchymal stem cells, is needed to maintain an efficient hematopoietic niche and for immunosurveillance against infections. Both alpha- and beta-adrenergic receptors seem involved in the regeneration of hematopoiesis after myeloablative treatments. Likewise, the effects of psychogenic stress and of ageing on the hematopoietic system are also mediated by adrenergic signals. Yet, the exact mechanisms regulating hematopoietic regeneration and the differentiation ratio between lymphoid and myeloid cells are still obscure. A comprehensive understanding of the adrenergic influence on hematopoiesis holds the potential for novel therapeutic approaches in a variety of hematological diseases.