bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of fractional variable-order lymphatic filariasis infection model
Authors: Jeelani Mdi Begum , Alhamzi Ghaliah , Zada Mian Bahadur , Hassan Muhammad 
Published: March 2024

Abstract
Variable-order derivatives are the natural extension of ordinary as well as of fractional-order differentiations and integration, respectively. Numerous suggestions for fractional variable-order operators have been made in the literature over time. Therefore, this is the moment to shine a light on the variable-order fractional calculus, due to the fact that it accurately describes the mathematical underpinnings and emphasizing the modeling utility via using contemporary numerical techniques. This study focuses on investigating a fractional variable-order model of lymphatic filariasis infection using with Atangana–Beleanue–Caputo derivative. Our investigations have led to the development of newly refined results, focusing on both qualitative and numerical aspects of analysis. To achieve our research objectives, we employ the fixed point theorems of Banach and Krasnoselskii. These theorems serve as powerful tools, allowing us to establish results regarding the existence of solutions to the model. Additionally, for precise numerical simulations, we employ the fractional Euler’s method, a sophisticated computational technique that allows us to effectively simulate and interpret the results both numerically and graphically. These graphs illustrate distinct variable-orders, providing a comprehensive understanding of the model’s behavior under different conditions. Here, it should be kept in mind that we have select various continuous functions for variable to present our graphical illustration.
PENGARUH LATIHAN PUSH UP TERHADAP JAUHNYA LEMPARAN KE DALAM TANPA AWALAN DALAM PERMAINAN SEPAKBOLA
Authors: Zainuddin M. Said , AM Andi Mas Jaya , Usman Arifuddin , Sulaeman Sulaeman , Harliawan Muhammad , Sudirman Akbar 
Published: March 2024

Abstrak
Penelitian ini merupakan penelitian eksperimen yakni bertujuan untuk mengetahui pengaruh latihan push up terhadap jarak lemparan ke dalam tanpa awalan pada permainan sepakbola siswa SMAN 7 Gowa. Metode yang digunakan pada penelitian ini adalah metode eksperimen untuk mencari hubungan sebab-akibat (hubungan kausal) antara dua faktor dan desain penelitian ini menggunakan PreTest – Posttest Design. Populasi dalam penelitian ini adalah seluruh siswa yang mengikuti ekstrakurikuler sepak bola dengan sampel berjumlah 20 siswa, dengan menggunakan teknik sampling jenuh. Teknik pengumpulan data menggunakan teknik tes dan pengukuran sedangkan analisis data dilakukan dengan teknik analisa deskriptif. Hasil uji deskriptif menunjukkan nilai rata- rata pada pretest melempar ke dalam 14.10 dan nilai rata-rata pada posttest akhir latihan melempar kedalam 15.30. Melihat hasil penelitian dapat disimpulkan bahwa dengan latihan push up dapat mempengaruhi jauhnya lemparan ke dalam di bandingkan dengan sebelum melakukan latihan push up.

Abstract

This research is an experiment designed to determine the effect of push-up exercises on the throw distance of SMAN 7 Gowa students during soccer games. This study employs the experimental method to identify causal relationships (causal relationships) between two variables, and its design is a pretest-posttest design. This study's population consisted of all students who participated in football-related extracurricular activities; a sample of 20 students was selected using techniques of saturated sampling. Data collection employs test and measurement techniques, whereas data analysis employs descriptive techniques. The average value of the pre-test throw was 14.10 meters, and the average value of the final post-test throw was 15.30 meters, as indicated by the descriptive test results. Based on the study's findings, it can be concluded that push-up exercises can affect the distance inward compared to when push-up exercises were not performed.
A Comparative Study of Random Forest and Double Random Forest Models from View Points of Their Interpretability
Authors: Khairunnisa Adlina , Notodiputro Khairil Anwar , Sartono Bagus 
Published: March 2024

Purpose: This study aims to compare the performance of ensemble trees such as Random Forest (RF) and Double Random Forest (DRF) from view points of interpretability of the models. Both models have strong predictive performance but the inner working of the models is not human understandable. Model interpretability is required to explain the relationship between the predictors and the response. We apply association rules to simplify the essence of the models.Methods: This study compares interpretability of RF and DRF using association rules. Each decision tree formed from each model is converted into if-then rules by following the path from root node to leaf nodes. The data was selected in such a way that they were underfit data. This is due to the fact that DRF has been shown by other researchers to overcome the underfitting problem faced by RF. A Simulation study has been conducted to evaluate the extracted rules from RF and DRF. The rules extracted from both models are compared in terms of model interpretability based on support and confidence values. Association rules may also be applied to identify the characteristics of poor people who are working in Yogyakarta.Result: The simulation results revealed that the interpretability of DRF outperformed RF especially in the case of modelling underfit data. On the other hand, using empirical data we have been able to characterize the profile of poor people who are working in Yogyakarta based on the most frequent rules.Novelty: Research on interpretable DRF is still rare, especially the interpretation model using association rules. Previous studies focused only on interpreting the random forest model using association rules. In this study, the rules extracted from the random forest and double random forest models are compared based on the quality of the rules extracted.
Clinically functioning gonadotropin-secreting pituitary adenoma
Authors: Alnasrallah Noor , Aljenaee Khaled , AlMurshed Maryam , Hajji Sulaiman 
Published: March 2024

Summary
Gonadotroph adenomas are the most common type of nonfunctional pituitary adenomas. However, functioning gonadotroph adenomas causing clinical manifestations are rare. We present the case of a 42-year-old man with an incidental finding of a pituitary gland mass. A pituitary MRI revealed a 3 cm macroadenoma, and laboratory investigations revealed elevated follicle-stimulating hormone (FSH) and total testosterone levels. A diagnosis of functioning FSH-secreting pituitary adenoma was considered, with possible concomitant luteinizing hormone secretion, given the elevated testosterone, prompting further evaluation. Testicular ultrasound showed bilaterally enlarged testicles, and visual field testing revealed a monocular superior temporal defect. Transsphenoidal resection of pituitary adenoma was the treatment of choice. Histopathology assessment confirmed the diagnosis of gonadotroph-secreting adenoma, with positive staining for FSH. Within the 12-week postoperative period, FSH and testosterone levels normalized, and the patient experienced significant improvement in vision, along with the resolution of macroorchidism. While functional gonadotroph adenomas are rare, patients can present with a wide range of symptoms that are often unnoticeable due to their slow development. Careful evaluation can help guide multidisciplinary management to achieve full remission.

Learning points

Endocrine evaluation is indicated in all cases of pituitary incidentalomas to determine functional status.

Clinically functioning gonadotroph adenomas, while rare, pose a diagnostic challenge and require careful clinical evaluation.

Transsphenoidal surgery is the mainstay of treatment of functioning gonadotroph adenomas, with the involvement of a multidisciplinary team to achieve desirable outcomes.
Aprendizaje-servicio en una carrera de agronomía: Acción y reflexión en un curso en comunidades rurales de Costa Rica
Authors: Mazzola Julieta 
Published: March 2024

Objective. This article examines the Agronomy major course Community Scenario (Work Experience Course), considering the fundamental elements of the service-learning strategy. It also analyzes the primary learnings that students value during their community experience. Methodology. This qualitative study adopts a descriptive case study approach that examines the course under the service-learning model. It analyzes the integration of the course into the university curriculum, the organization, the promotion of civic responsibility, fieldwork to meet community needs, and reflection activities (United States Congress, 1990). To address the learnings valued by the students, the documentary observation technique was used. A reflection tool was employed to collect the learnings identified by a group of 38 students. The learnings were subsequently analyzed with a focus on three domains: cognitive, behavioral, and affective (Knight-McKenna et al., 2018). Findings and conclusions. The community scenario reveals the presence of the key components of service learning. It exhibits certain strengths in terms of academic organization and reflection and areas with potential for improvement. The participating students value learnings in the affective domain, followed by the behavioral domain, and finally the cognitive domain. Noteworthy learnings include technical knowledge, interpersonal relationships, and knowledge of social conditions and context. Recommendations: It is recommended to continue studying the impact of this course and other community-based courses on student learning.
Trends and Patterns of Migration from Jharkhand, India
Authors: Kumar Shubham , Raj Aditya 
Published: March 2024

Purpose of the study: The central aim of this study is to comprehend and delineate trends and patterns of migration in Jharkhand. The basic purpose behind taking up migration for the study is to understand the problem and its impact on social status, which is directly related to the development and empowerment of all sections of society. This paper brings different bodies of literature together to provide an organized and structured framework.
Methodology: This paper has been written as a systematic literature review using Preferred Report Items for Systematic Reviews and Meta-analysis (PRISMA). The relevance of the included publications could be justified based on their language and relativity in the field of social sciences.
Main Findings: Migration from Jharkhand encompasses various patterns, including labor migration, women's migration, seasonal migration, rural-urban migration, and tribal migration. Seasonal migration is particularly prevalent among marginalized and socioeconomically disadvantaged groups within the state. Research indicates a noteworthy inverse correlation between economic status and temporary migration, highlighting that economically deprived segments, such as Scheduled Tribes and Scheduled Castes, exhibit a higher inclination toward seasonal migration. This trend underscores the distress-driven nature of migration in Jharkhand. Rural-to-urban migration accounts for over half of all seasonal migration, primarily driven by economic motives. Migration, to some extent, reflects the developmental processes underway in the region.
Application of the study: The detailed analysis of the concept and paradigms involved in migration, will be most useful for academicians, post-graduate researchers, and graduate students who seek to specialize in the area of migration from Jharkhand. This paper will also be helpful to policymakers in analyzing the developmental process in Jharkhand.
Originality/Novelty of the Study: This paper brings different bodies of literature together to provide an organized and structured framework. This ensured that the review process was more authentic and non-biased. The indexed literature was very helpful in the formation of a systematic literature review. The articles that are selected for study are mainly focused on evaluating trends and patterns of migration in Jharkhand.
Learning Management System in the Post-Pandemic Era: Comparative Study
Authors: Junining Esti , Herawati  , Setiarini Nuria 
Published: March 2024

In the post-pandemic era, virtual educational environments are replacing the role of traditional classroom instruction. Due to the technological revolution and the COVID-19 pandemic, learning has evolved considerably in recent decades in educational parties at the higher education levels in Indonesia have offered various new options. LMS is referred to as a program that may optimize the ease of learning while promoting sustainable learning at home, particularly for lecturers who must provide teaching-learning during the challenging periods of the COVID-19 pandemic. Existing previous studies confirmed that acceptance of the LMS in higher education may vary from one country to another. This paper attempted to answer questions dealing with students’ engagement in learning and the usage of LMS in Indonesia compared to other countries. The study surveys online polling and measures their acceptance and preference of LMS in Indonesian higher education. The findings showed that as a sustainability program in higher education, LMS had favourable impacts during the COVID-19 outbreak and was recognized as user-friendly.
Paleomagnetism of the Abinskaya Group of the Kuznetsk Depression (Southern Siberia) – Implications for the Evolution of the Siberian Large Igneous Province at the Permian–Triassic Boundary
Authors: Eliseev A.A. , Metelkin D.V. , Abashev V.V. , Mikhaltsov N.E. , Vinogradov E.V. , Bragin V.Yu. 
Published: March 2024

Abstract
—We report results of a systematic paleomagnetic study of the Abinskaya Group of the Kuznetsk depression, including a typical volcanic complex that reflects important features of the evolution of the Permian–Triassic Siberian large igneous province (LIP). Four zones of magnetic polarity have been established in the group’s deposits. We revise the correlation of the volcanic sheets of the Mal’tsevo Formation (Fm.) at the base of the group with the Ivakinsky Fm. of the Norilsk region, which is linked to the initiation of trap magmatism. The beginning of the eruption of the Saltymak complex volcanic rocks in the Kuznetsk area corresponds to the boundary between subchrons LT1n.1n and LT1n.1r (251.2 Ma) within the Kedrovka sub-formation of the Mal’tsevo Fm. This boundary was traced in the magnetostratigraphic sections of the Maimecha-Kotui, Koltogor-Urengoy, Western Taimyr, and Norilsk regions of the Siberian LIP and suggests a correlation of the Mal’tsevo Fm. volcanic rocks with the upper part of the undifferentiated interval of the Onkuchak – Tyvankit (?) fms., the base of the Korotchaev Fm., the Verkhnetam Fm. and the top of the Samoed Fm. The duration of this main pulse of volcanism in the Kuznetsk depression did not exceed 0.1 Myr. The volcanic sheets of the second, significantly weaker pulse of the Yamin Fm. are compared with the Maimecha Fm. of the Maimecha-Kotui area and the top of the Korotchaev Fm. of the Koltogor-Urengoy area. Thus, the accumulation of the entire Abinskaya Group, including the sedimentary complex of the Sosnovka Fm., lasted no more than 1.5 Myr. Except for the initial stage, this coincided with the eruption of most of the Maimecha-Kotui and Koltogor-Urengoy trap sections. The early magmatism of the Ivakinsky time and its analogs in other areas of the Siberian province during the Permian–Triassic boundary in the Kuznetsk depression probably corresponds to the break between the Taylugan Fm. and the Abinskaya Group. The mean paleomagnetic pole (PLat = 59.0°, PLon = 160.3°, A95 = 5.7°, N = 33) calculated for the entire studied section reflects the paleogeography of the Kuznetsk depression and can be considered a reference pole for the Permian–Triassic boundary.
Virtual reality-based pre-discharge home assessment (ReTHo) to improve participation-focused patient transition from rehabilitation to home: development and feasibility testing.
Authors: Kirchner-Heklau Uta , Saal Susanne 
Published: March 2024

Abstract

Background
Pre-discharge home assessments (PDHA) aim to identify environmental barriers to patients’ activities, to recommend and provide aids and home modifications and to assess activity performance within “real life conditions”. PDHA are time consuming. Virtual approaches might overcome these obstacles.
Aim
This study aimed to develop a technical system (ReTho) supporting ward-based PDHA within the virtual twin of the real patients´ home and to evaluate the feasibility of the Virtual Reality (VR)-PDHA within clinical processes.
Methods
ReTho was developed within 11 months involving users (workshops, pre-pilot testing, usability testing groups, interviews) to achieve usability and fit of the intervention to the context. ReTho comprised a smartphone-home scan, a data backend with interface to organize data and applications to measure the home as a 3D model on desktop and immersively in VR. Feasibility and acceptance of the intervention and feasibility of study processes were testet as single-arm study in an inpatient rehabilitation clinic.
Results
Twelve patients (neurological diagnoses n=11, geriatric diagnosis n=1) received the intervention. The scan took between 40 and 90 minutes per patient. Per PDHA, on average 7.76 (SD 1.97) rooms were assessed. Therapy sessions took 43.67 (SD 10.52, range from 25 to 65) minutes in total. On average 12.42 (SD 5.02) recommendations per patient were given, and on average 36% (SD 21%) of them were ongoing two weeks after discharge. Data collection procedures were feasible with minor implications for improvement.
Therapists rated satisfaction in usability and usefulness of the tool overall as very good. ReTho had the potential to enable tailored recommendations and advice on home modifications/aids, to increase patients’ acceptance of recommendations and to improve activity goals. Information flow and communication within the discharge preparation process was not enhanced due to misssing interfaces between the system and the clinic IT. Performance and satisfaction with activities increased slightly after discharge (4.41 to 5.3 and 4.53 to 4.90). The fear of falling remained consistent.
Conclusions:
The study demonstrates the clinical feasibility of ReTho. The system goes beyond functions of other previously known applications for PDHA. Further intervention development concerns the connection of process stakeholders in the rehabilitation context inside and outside the ward setting.
Trial Registration: Study registration of the pilot study occurred prior to inclusion of the first study participant as DRKS00025836 in a publicly accessible study registry (German Clinical Trials Register).
SMART-CYPS: An Intelligent Internet of Things and Machine Learning Powered Crop Yield Prediction System for Food Security
Authors: Kuradusenge Martin , Hitimana Eric , Mtonga Kambombo , Gatera Antoine , Habiyaremye Joseph , Ngabonziza Jackson , Hanyurwimfura Damien , Rukundo Placide , Mukasine Angelique 
Published: March 2024

Abstract

The sub-Saharan Africa region continues to experience food insecurity, a consequence of the less productive agricultural sector that has dragged to adapt to the effects of climate change. As the region’s population continues to grow, there is a need to modernize the region’s agricultural sector to meet the increasing food demand. Although extreme atmospheric conditions cannot be entirely mitigated, however, the integration of technologies such as the Internet of Things (IoT) and Machine Learning (ML) can increase the quantity and quality of production from the crop fields. These technologies have potential to empower agricultural management systems to handle both climatic and farm data in an orchestrated manner, informing formulation of effective strategies. This study presents the design and development of a system for predicting crop yields that integrates IoT and ML. The system combines current weather data and historic crop yield data to predict seasonal crop yields. The weather parameters including, rainfall, temperature, humidity and soil moisture are collected by IoT sensors and transmitted to the cloud for crop yield forecasting. The system is used to analyze seasonal yields of Irish-Potato and Maize in Musanze District of Rwanda. Using data over different agricultural seasons, the system achieved favorable predictive accuracy with mean absolute percentage error (MAPE) values of 0.339, 0.309, and 0.177 for two seasons of Irish potatoes and one season of maize, respectively. Such predictive yield systems can reduce food insecurity risks and enhance harvest efficiency by enabling early awareness of crop production, fostering effective strategies shared among decision-makers and stakeholders. While maize and Irish potatoes were the initial case studies, expansion to include other crops is envisioned.
Biological and genomic characterization of a polyvalent phage PSH-1 against multidrug- resistant Salmonella
Authors: Li Shuaihua , Wang Rui-yun , Zhang Jun-kai , Yi Kai-fang , Liu Jian-hua , Wu Hua , Yuan Li , Zhai Ya-jun , Hu Gongzheng 
Published: March 2024

Abstract

Background
Bacteriophage has been renewed attention as a new antibacterial agent due to the limitations of antibiotic treatment. Through the biological characterization and genome analysis of the isolated Salmonella phage, the bacteria can be specifically killed through the advantages of safe, efficient and fast bacteriophages in the future, so as to reduce or even solve the current drug resistance and safety problems of Salmonella bacteria.
Results
In this study, a virulent lytic bacteriophage (named Salmonella phage PSH-1) of Salmonella was isolated from the sewage samples of a large-scale pig farm, it can not only lyse multidrug-resistant Salmonella but also E. coli, and then its biological characteristics, genome and bacteriostatic ability were investigated. The results showed that the initial titer of PSH-1 was 1.15x1010 PFU/mL and the optimal multiplicity of infection (MOI) was 0.01, PSH-1 has stable activity in the range of pH 3.0–11.0. One-step growth curve showed that its latent period was 20 min, burst time was 80 min, and the burst was 495 particles. The whole-genome sequencing results revealed phage PSH-1 had a linear dsDNA with 48466 bp length. The G/C content was 45.33%. Non-coding RNA genes and virulence factors were not found. Eighty- five open reading frames (ORFs) were identified after online annotation. By tests, the use of phage could succeed in controlling the artificial salmonella contamination in milk at a range of temperatures.
Conclusions
This study reports a novel Salmonella phage PSH-1, which has a robust lytic ability, no virulence factors, and good stability. The characterization and genomic analysis of PSH-1 will develop our understanding of phage biology and diversity and provide a potential arsenal for controlling of salmonellosis.