bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH SNOWBALL THROWING TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS V SD GUGUS V KOTA BENGKULU
Authors: Febrina Tria , Agusdianita Neza 
Published: December 2023

This research’s aim to know the application model influence of snowball throwing to the result of learning mathematic at geometry material to 5th grade student group V Bengkulu City. This kind of research is quantitative research. The methods isQuasyEksperimental with the design in the matching only pretest posttest contol group design. The population of the research is entire 5th Grade griup V elementary school Bengkulu City. The sampel in this research are divided in two group, that is 5th A grade student in elementary school 2 Bengkulu City as a eksperiment group, and 5th B 9 grade student in elementary school 9 Bengkulu City as a control group. The instrument is the result of learning of learning tes with multiple choicd that gift by pretest before the study is begin and posttestafter the study is over. The data will be analyzed with descripve and analysis, that T-test, the result is with the value of Tcountis 3,42 and the value of Ttabelis 1,997. So with Tcount>Ttable at significant 5%, so we can conclude that there is the application models influence of snowball throwing to the result of learning mathematic at geometry material to 5th grade student group V Bengkulu City. Keywords: snowball throwing models, result of learning, mathemathic study
A geometric analysis of slip rate variation with depth in listric normal faults
Authors: Zhang Yao 
Published: December 2023

Fault slip rates are critical parameters for assessing regional strain accumulation and seismic hazards. Previous investigations on fault slip rates primarily concentrated on shallow depths or along the strike of the fault, neglecting the variation with depth. This study focuses on listric normal faults, commonly observed in tectonic extensional zones, and investigates the variation of slip rates with depth. The relationships between slip rates along different fault segments are derived based on the inclined shear geometric models. The study finds that slip rates on different segments of listric normal faults are generally not equal and depend on the type of bend (concave or convex), the dip angles of the fault segments and axial surfaces. Inferring regional horizontal extension solely from shallow segment displacements or growth strata thickness may lead to inaccurate conclusions. In accordance with the methodology outlined in this paper, slip rates at various depths along the Chengnan Fault for the three time intervals: 24.6–33 Ma, 33–43.5 Ma, and 43.5–65 Ma, are estimated. The results of this study offer valuable insights into the kinematics of listric normal faults, facilitating a better comprehension of the discrepancy between slip rates measured at surface and slip rates measured at depth.
Quantitative characterization and analysis of pore-fractures in tar-rich coal under high-temperature pyrolysis based on micro-CT imaging
Authors: Yang Fu , Jiang Pengfei , Duan Zhonghui , Cheng Zhongyan , Wang Zhendong 
Published: December 2023

This study investigates pore distribution and permeability behavior of tar-rich coal following high-temperature pyrolysis at 500°C using X-ray computed tomography (CT) scanning. Coal samples post-pyrolysis were CT scanned, generating 1755 cross-sectional slices for three-dimensional reconstruction. An axial algorithm extracted pore distribution features, and geometric parameters were computed. An Equivalent Pore Network Model analyzed permeability characteristics. The results show that Post-pyrolysis pore distribution in tar-rich coal exhibited nonuniformity with a significant range in pore size distribution. Pores displayed concentrated spatial patterns. Total porosity was 14.24%, with 12.34% being connected. Most pores in Representative Elementary Volume (REV) regions fell within 10–50 μm in width and 20–60 μm in length, constituting over 40% of the total. Pore surface area peaked between 200–100 μm2, also comprising over 40% of the total. The Pore Network Model showed distinct characteristics in two REV regions: REV-1 demonstrated an early stage of development with poor connectivity, while REV-2 displayed a well-developed network with a bimodal coordination number histogram. The study highlights nonuniform post-pyrolysis pore distribution and significant pore size variations in tar-rich coal. This study is crucial for understanding permeability behavior in tar-rich coal after high-temperature pyrolysis.
Experimental study on gas and coal dust explosive overpressure and flame dynamic characteristics in an engineering-level test roadway
Authors: Niu Yihui , Si Rongjun , Li Ziran , Wang Lei , Huang Zichao , Jia Quansheng 
Published: December 2023

The continuous development of coal science and technology has made gas and coal dust explosion disasters an important factor that restricts efficient and intelligent coal mining, which seriously threatens the safe production process of coal mines. To explore the gas and coal dust explosive overpressure and flame propagation characteristics in an actual roadway, the dynamic characteristics of gas and coal dust mixed explosion propagation and evolution laws of explosion flames were investigated using an integrated explosion test system and a high-speed image acquisition system in an engineering-level test roadway with a length of about 700 m and a cross-sectional area of 7.2 m2. Experimental results showed that the peak overpressure measured at each measuring point during the propagation process of explosion shock wave in the roadway did not rise or fall monotonously but fluctuated. The power of explosion shock wave was significantly strengthened by adding coal dust, while the flame propagation speed sharply increased in a certain zone, which generally showed a first increasing and then declining trend. In addition, the flame was blue white after the gas in the roadway was ignited, developed in an irregular shape, and ignited the surrounding combustible gas soon, which further ignited the coal dust under the combined action of pressure wave and flame front. In this case, the flame was deep yellow on the whole. The gas and coal dust explosion flame propagated along the longitudinal section above the roadway, and the flame propagated at an accelerated speed on the transverse section due to the disturbance of obstacles. The study results will provide an important theoretical basis for the R&amp;D of technical active explosion suppression equipment in coal mines and the improvement in their installation technologies.
Smart grid power load type forecasting: research on optimization methods of deep learning models
Authors: Sun Huadong , Ren Yonghao , Wang Shanshan , Zhao Bing , Yin Rui 
Published: December 2023

Introduction: In the field of power systems, power load type prediction is a crucial task. Different types of loads, such as domestic, industrial, commercial, etc., have different energy consumption patterns. Therefore, accurate prediction of load types can help the power system better plan power supply strategies to improve energy utilization and stability. However, this task faces multiple challenges, including the complex topology of the power system, the diversity of time series data, and the correlation between data. With the rapid development of deep learning methods, researchers are beginning to leverage these powerful techniques to address this challenge. This study aims to explore how to optimize deep learning models to improve the accuracy of load type prediction and provide support for efficient energy management and optimization of smart grids.Methods: In this study, we propose a deep learning method that combines graph convolutional networks (GCN) and sequence-to-sequence (Seq2Seq) models and introduces an attention mechanism. The methodology involves multiple steps: first, we use the GCN encoder to process the topological structure information of the power system and encode node features into a graph data representation. Next, the Seq2Seq decoder takes the historical time series data as the input sequence and generates a prediction sequence of the load type. We then introduced an attention mechanism, which allows the model to dynamically adjust its attention to input data and better capture the relationship between time series data and graph data.Results: We conducted extensive experimental validation on four different datasets, including the National Grid Electricity Load Dataset, the Canadian Electricity Load Dataset, the United States Electricity Load Dataset, and the International Electricity Load Dataset. Experimental results show that our method achieves significant improvements in load type prediction tasks. It exhibits higher accuracy and robustness compared to traditional methods and single deep learning models. Our approach demonstrates advantages in improving load type prediction accuracy, providing strong support for the future development of the power system.Discussion: The results of our study highlight the potential of deep learning techniques, specifically the combination of GCN and Seq2Seq models with attention mechanisms, in addressing the challenges of load type prediction in power systems. By improving prediction accuracy and robustness, our approach can contribute to more efficient energy management and the optimization of smart grids.
From Waste to Value Added Products: Manufacturing High Electromagnetic Interference Shielding Composite from End-of-Life Vehicle (ELV) Waste
Authors: Moaref Roxana , Shajari Shaghayegh , Sundararaj Uttandaraman 
Published: December 2023

The use of plastics in automobiles is increasing dramatically due to their advantages of low weight and cost-effectiveness. Various products can be manufactured by recycling end-of-life vehicle (ELV) plastic waste, enhancing sustainability within this sector. This study presents the development of an electromagnetic interference (EMI) shield that can be used for protecting electronic devices in vehicles by recycling waste bumpers of ethylene propylene diene monomer (EPDM) rubber from ELVs. EPDM waste was added to a unique combination of 40/60: PP/CaCO3 master batch and conductive nanofiller of carbon nanotubes using an internal melt mixing process. This nanocomposite was highly conductive, with an electrical conductivity of 5.2×10−1S·cm−1 for 5 vol% CNT in a 30 wt% EPDM/70 wt% PP/CaCO3 master batch and showed a high EMI shielding effectiveness of 30.4 dB. An ultra-low percolation threshold was achieved for the nanocomposite at 0.25 vol% CNT. Waste material in the composite improved the yield strain by about 46% and strain at break by 54% in comparison with the same composition without waste. Low cost and light-weight fabricated composite from ELV waste shows high EMI SE for application in electronic vehicles and opens a new path to convert waste to wealth.
EFFECT OF COMPLEMENTARY FEEDING TRAINING ON POSYANDU CADRES KNOWLEDGE AS STUNTING PREVENTION ON 6 – 12 MONTHS CHILDREN
Authors: Surmita Surmita , Sekartini Rini , Kekalih Aria , Hendarto Aryono , Prawitasari Titis , Novita Chandra Dian , Andriani Rini , Nur Fauziyah Roro 
Published: December 2023

Introduction: Complementary feeding period is one the critical period in the first 1000 day of life for stunting prevention. There are many problems found in complementary feeding practices related to low mother’s knowledge , such as too early introduction of complementary feeding, low frequency of complementary feeding, low variety and diversity of food ingredients. Posyandu cadre can help mothers become more knowledgeable about complementary feeding.
Method: Design of this research is one-group pre-post design to measure cadre knowlodge relate to complementary feeding for children 6 – 12 months. Research conducted in West Bandung District in 6 stunting loci villages, Kertajaya, Kertamulya, Mekarjaya, Cihampelas, Sirnajaya and Gunung Halu Villages. Complementary feeding training material focus on complementray feeding for 6 – 12 months. Training conduct online using zoom meeting platform.
Objectives: To analyzed impact of complementary feeding on posyandu cadre knowledge as stunting prevention in children 6 – 12 months.
Result: Based on paired t-test show that there significant different between pre-test and post-test result on posyandu cadre knowledge (p<0.001).
Conclusion: There are significant effect of posyandu cadre training on knowledge related complementary feeding for 6 – 12 months as stunting prevention in the first 1000 days of life
Comicidad popular y discurso
Authors: Suárez Bernardo 
Published: December 2023

Muchas de las formas de lo reidero que se desarrollaron hacia mediados del siglo XX, abrevan en formas previas de las Artes del Espectáculo vinculadas con especies de entretenimiento consumidos por las culturas populares. Por ejemplo, el vodevil, el circo, los espectáculos de variedades, el sainete, la comedia del arte, el teatro de revistas, etc. En la República Argentina y a lo largo de ese siglo se observa una gran tradición de artistas que se dedican al arte de hacer reír y a otras formas vinculadas con el humor que comienzan a desarrollar propuestas exitosas en la pantalla televisiva y que provenían de otros ambientes como el circo, los espectáculos de variedades, el teatro o la radio. En la novedad de las propuestas que se generan a partir del desarrollo de los géneros televisivos, pueden rastrearse también apropiaciones y transformaciones de esas formas previas en el discurso. El presente trabajo se propone explorar algunas de las marcas que las distintas materializaciones previas de lo reidero, dejan inscriptas en el discurso de la comicidad popular de mediados de siglo XX en la Argentina.
Masculinidad y violencia en "Maté a un Tipo" de Daniel Dalmaroni. Lo argentino y lo global.
Authors: Gerakis Panos 
Published: December 2023

El Presente articulo profundiza en las representaciones de la masculinidad y su coneción con la violencia. Intenta explorar la idea de la violencia como componente de la masculinidad hegemónica (término introducido por la socióloga Raewyn Connell, 1995) en la obra Maté a un Tipo (2006) del argentino dramaturgo Daniel Dalmaroni. A través de las representaciones absurdas y grotescas de los personajes y sus actos violentos que se hacen explícitos en el texto, al igual que la dinámica entre los personajes, se exploran los aspectos multifacéticos de la masculinidad y su asociación con la violenciacomo "privilegio del hombre" y fenómeno social. El análisis revela la complejidad y la precariedad de la masculinidad tal como se presenta en Maté a un Tipo y reconoce que está moldeada por las normas culturales locales y las representaciones globales. Dada la persistente brecha cultural entre diversas sociedades en relación a ciertas ideas y subjetividades como la masculinidad'es, a pesar de la actual globalización, Argentina pareve ejemplificar un puente debido a la 'hibridez' de su sociedad, como apoya el antropólogi argentino Eduardo Archetti (2016). El artículo concluye proponiendo un mayor cuestionamiento de las masculinidades y las comparaciones interculturales para que se adquiera una mayor comprensión de las vidas e identidades de los hombres dentro de un contexto global.
High-resolution-gridded rainfall dataset derived from surface observation by adjustment of satellite rainfall product
Authors: Rifani Achmad , Ferdiansyah Muhammad Rezza 
Published: December 2023

A high-resolution-gridded rainfall dataset is essential for many purposes. Such as analysis of extreme weather conditions, natural-disaster mitigation, or to be used as an input to the hydrological model. Satellite-based rainfall products (e.g., Global Satellite Mapping of Precipitation-GSMaP) can solve the spatial and temporal issues despite their rainfall intensity often being under or overestimated. This research aims to provide a high-resolution rainfall dataset by adjusting the 0.1 deg GSMaP rainfall data to the surface rainfall data from several observation points in the greater Jakarta area (Jabodetabek) during January 2020 when several flooding occurred in Jakarta. The adjustment process includes calculating the bias between the satellite estimation in the nearest observation point and interpolating the error back to the 0.01 deg grid by using radial basis function (RBF) to obtain the correction factor in every grid point, GSMaP data then adjusted by the correction factor. We implemented the method in January 2020 when several floods occurred in Jakarta. The result reveals a more realistic rainfall spatial distribution than regularly interpolating the observation data. The validation of adjusted rainfall estimation at the verification points also shows a reduction in domain-wide RMSE by 30 – 80%.
Automatic Detection and Counting of Urban Housing and Settlement in Depok City, Indonesia: An Object-Based Deep Learning Model on Optical Satellite Imageries and Points of Interests
Authors: Pindarwati Atut , Wijayanto Arie Wahyu 
Published: December 2023

Detecting urban housing and settlements has a substantial position in decision-making problems such as monitoring housing and development, not to mention the widely required urban mapping application. One of the most important goals in the United Nations Sustainable Development Goals (SDGs) is to improve urban living conditions globally by 2030. We propose an automatic detection of urban housing and settlements on remote sensing satellite imagery data using object detection-based deep learning using semantic segmentation and the potential availability of remote sensing datasets at high spatial resolutions, Open Street Map (OSM) geolocation point of interest dataset, and Sentinel-2 optical satellite imagery data. The detection model using Mask Region-based Convolutional Neural Networks (Mask R-CNN) is implemented in Depok City, Indonesia. These regions were chosen because it is the second most populous suburb in Indonesia and the tenth most populous globally and, making it challenging to extract building features from satellite imagery. This model categorizes dense, moderate, and sparse conditions and has a promising result of an average precision of 100% and an F1-score of 67% with evaluation performance metrics only considering points associated with buildings, not building boundaries or the intersection over union (IoU). The model performance has been compared to ground check results of field surveys, and it performs best in sparse conditions. Our findings offer the potential implementation of the model for fast and accurate monitoring of housing, settlement, and regional planning in urban areas.
THE EFFECT OF BOILED BETEL LEAVES AND BINAHONG BOILED WATER ON PERINEUM WOUND HEALING ON POSTPARTUM
Authors: Fitriani Ardhita Listya , Noor Lilik Rahmawati , Widiati Amrih 
Published: December 2023

Betel leaves (Piperbetlelinn) contain biochemical compounds that can kill bacteria and fungi and act as antioxidants to speed up the healing process. These substances include bethephenol, chavicol, sesquiterpene, hydroxivaikal, capitol, estrogen, eugenol, and carvarool. Binahong leaves are reported to contain active components of flavonoids, alkaloids, terpenoids, and saponins based on the results of research conducted. The active components of flavonoids work directly as antibiotics. The pharmacological properties of flavonoids include anti-inflammatory, analgesic, and antioxidant properties. The ascorbic acid contained in binahong can increase the body's defense against infection and help preserve mucous membranes. This research uses a quasi-experimental design with a post-test. The population in this study were postpartum mothers who gave birth between 0 and 7 days ago experiencing second-degree birth canal tears in the Karanganyar Community Health Center area. The sample for this study was 32 people, with one intervention group including 16 participants. The T-test using the Independent T-Test was used to analyze the data. After boiling the average perineal wound yield was 4.1250; The lowest and maximum levels of perineal injuries were 3 and 6 respectively. After consuming binahong boiled water, postpartum mothers in the Karanganyar Community Health Center area experienced an average of 2,750 perineal injuries, with 1 being the lowest and 4 being the highest. There was a difference in the effectiveness of drinking betel boiled water and binahong boiled water on the degree of perineal injury in postpartum women in the Karanganyar Community Health Center area after carrying out the Paired T-Test (p-value = 0.011). It is hoped that this research can help overcome postpartum mothers' complaints regarding perineal wounds. Keywords: Betel, Binahong, Perineal Wound
INFLUENCE OF THE EFFICIENCY OF THE SHIP ANTENNA ON THE RANGE OF THE NAVTEX SERVICE
Authors: Громоздин В.В. , Козуб М.С. , Иевлев К.В. , Новикова Т.В. 
Published: December 2023

Исследовано влияние эффективности судовой антенны на дальность действия службы НАВТЕКС. Определено минимальное значение коэффициента внешних шумов на стороне судна, которое может приниматься при расчетах дальности действия службы НАВТЕКС, и соответствующее ему требуемое значение эффективности судовой антенны. Проведен расчет и анализ зависимости дальности действия службы НАВТЕКС с учетом полученной эффективности судовой антенны и внутренних шумов приемника.
The influence of the effectiveness of the ship's antenna on the range of the NAVTEX service has been studied. The minimum value of the coefficient of external noise on the side of the vessel, which can be taken when calculating the range of the NAVTEX service, and the corresponding required value of the efficiency of the ship's antenna are determined. The calculation and analysis of the dependence of the range of the NAVTEX service are carried out, taking into account the resulting efficiency of the ship's antenna and the internal noise of the receiver.
A METHODICAL APPROACH TO THE RATIONAL CH O ICE OF EQUIPMENT FOR COMMUNICATION NETWORKS OF THE INTERNET OF THINGS
Authors: Антонович П.И. , Захаров А.А. , Пузанов А.М. , Сафронов А.Л. , Вэклич А.А. 
Published: December 2023

Предлагается методический подход к рациональному выбору оборудования энергоэффективных сетей связи интернета вещей дальнего радиуса действия и дается описание результатов проведенных испытаний сетей связи интернета вещей, разработанных по технологии LPW AN и работающих в нелицензируемом диапазоне длин волн.
The article proposes a methodical approach to the rational choice of equipment for energy-efficient long-range Internet of Things communication networks and describes the results of tests of Internet of Things communication networks developed using LPwAN technology and operating in an unlicensed wavelength range.