bluuebunny/crossref_metadata_2025 huggingface dataset:
Does Rural Labor Transfer Impact Chinese Agricultural Carbon Emission Efficiency? A Substitution Perspective of Agricultural Machinery
Authors: Zheng Pengkun , Maharjan Keshav Lall
Published: July 2024

In this paper, referring to Kaya’s method, the ratio of gross agricultural production (GAP) and agricultural carbon emission is defined as agricultural carbon emission efficiency (ACEE). Considering rural labor transfer (RLT) increases the agricultural machinery intensity (AMI), the two are substitutes for each other and may interact with agricultural carbon emission efficiency (ACEE). We constructed a Simultaneous Equations Model (SEM) of ACEE, RLT and AMI and analyzed the interaction mechanism of these three variables using the Three-Stage Least Squares (3SLS). The following conclusions are drawn. First, RLT and AMI significantly promote the improvement of ACEE, while the improvement of ACEE and AMI further promotes RLT. Secondly, the causal relationship and influence mechanism of ACEE, RLT and AMI are interactive and multi-directional. For example, an increase in AMI promotes ACEE, but an increase in ACEE inhibits an increase in AMI. Finally, China has significant regional heterogeneity, and different regions have different interaction mechanisms. Local governments should consider the local economic base and technological level when implementing policies. This paper extends the analytical framework of ACEE, RLT, and AMI and provides a reference for governments to make policies.
Operationalizing the Circular Economy—A Longitudinal Study on Sustained Circular Action
Authors: Holwerda Henrike , Haanstra Willem , Braaksma Jan
Published: July 2024

Circularity is becoming increasingly important for Distribution System Operators (DSOs) as their infrastructure ages and needs replacement, alongside compliance with stringent environmental regulations like the Corporate Sustainability Reporting Directive (CSRD). However, implementing circular economy (CE) practices is challenging due to the fragmented nature of the current CE landscape and its limited interaction with practical application. A longitudinal case study at the Dutch DSO, Liander, focusing on the circularity of distribution transformers, was conducted to generate prescriptive knowledge on operationalizing circularity. This resulted in the formulation of six design propositions for circular action that suggest to (1) initiate small-scale circularity experiments; (2) involve technical and strategic experts; (3) synergize circularity with more urgent, primary goals; (4) translate circular initiatives bottom-up and top-down; (5) collaborate with other DSOs; and (6) create multidisciplinary teams. The propositions suggest to situationally select interventions and build upon the outcomes of previous interventions in order to incrementally contribute to circular change. Other DSOs could use these propositions to optimize their strategy toward circular action. Additionally, the findings contribute to advancing scientific knowledge to implementable actions in order to initiate and sustain circular change.
RETRACTED: Campos-Arteaga et al. Prediction of Consumption of Local Wine in Italian Consumers Based on Theory of Planned Behavior. Sustainability 2022, 14, 14769
Authors: Campos-Arteaga Nicole , Alvarez-Risco Aldo , Gonzales-Vásquez Alexandra , Rios-La-Torre Fabrizio , Melillo-Espinoza-Chueca Jaasiel , Anderson-Seminario Maria de las Mercedes , Del-Aguila-Arcentales Shyla , Mejia Christian R. , Yáñez Jaime A.
Published: July 2024

The Sustainability Editorial Office retracts the article “Prediction of Consumption of Local Wine in Italian Consumers Based on Theory of Planned Behavior” [...]
Effect of Surface Area, Particle Size and Acid Washing on the Quality of Activated Carbon Derived from Lower Rank Coal by KOH Activation
Authors: Spencer William , Ibana Don , Singh Pritam , Nikoloski Aleksandar N.
Published: July 2024

The use of coal-derived activated carbon (AC) for water treatment applications demands more sustainable production methods, with chemical activation emerging as a promising alternative to thermal activation due to its higher AC quality, lower carbon burn-off, and higher yield. The study explored the effect of surface area, particle size and acid washing on the quality of AC derived from three seams of lower-rank Collie coal under the same activation conditions with potassium hydroxide (KOH). The quality of AC was determined by surface area and iodine number. The study demonstrates that Collie coal, suitable for AC production via KOH activation, yielded iodine numbers of 640 and 900 mg/g, with yields of 53 and 57 wt.%. Particle size influenced AC yield, with finer particle sizes yielding AC at 57–59 wt.%, whereas coarser ones yielded around 58–65 wt.%. SEM analysis shows the well-developed porous structure in Collie coal-derived activated carbons, with cleaner particles after acid washing. A positive correlation exists between coal surface area and AC iodine numbers, with higher values in coal samples correlating to increased iodine numbers in resulting AC. The regression model’s predicted values yield a coefficient of determination (R²) of 0.99.
Modification of Coconut Fibers through Impregnation with Eco-Friendly Wood Based Isolate as a Method to Increase the Sustainability of Dessert Raspberries Production
Authors: Kuboń Maciej , Matłok Natalia , Szostek Małgorzata , Wróbel Marek , Mudryk Krzysztof , Sikora Jakub , Marczuk Andrzej , Saletnik Bogdan , Balawejder Maciej
Published: July 2024

Natural substrates used in horticultural practice quickly degrade during plant cultivation. Methods to extend their service life are sought using natural materials, the acquisition and disposal of which do not burden the natural environment. The paper presents a sustainable method for modifying the coconut fiber substrate by impregnation with a wood-based isolate activated for polymerization and the addition of biochar pellets with retention-increasing properties. The modifications applied to the substrates were shown to have an impact on some of their physical properties, which directly impacted their usefulness in the horticultural production of dessert raspberries. It was found that after a year of operation, the modified substrates showed significantly lower levels of degradation markers. The shrinkage of the impregnated substrate was ~50% lower than that of the control sample, while the substrate with the addition of biochar pellets resulted in similar shrinkage and the lowest plant root mass (25.47%). The usefulness of these substrates was also verified by measuring the physiological parameters of the plants, which determined the ability to photosynthesize and build biomass, as well as susceptibility to stress potentially caused by substrate modifications. The recorded values of these parameters indicate, in most cases, that there is no disturbance of the homeostasis of raspberry plants grown using these substrates. However, plant productivity (measured by the yield of harvested raspberry fruit) indicates that the use of impregnated coconut fiber substrate with the addition of biochar pellets allows for obtaining the highest fruit yields (fruit yield—2.43 kg plant−1). The yields obtained in combination with the extended durability of the modified substrates during operation recommend this solution for use in horticultural practice and make the production more sustainable.
The Application of Machine Learning and Deep Learning in Intelligent Transportation: A Scientometric Analysis and Qualitative Review of Research Trends
Authors: Zhang Junkai , Wang Jun , Zang Haoyu , Ma Ning , Skitmore Martin , Qu Ziyi , Skulmoski Greg , Chen Jianli
Published: July 2024

Machine learning (ML) and deep learning (DL) have become very popular in the research community for addressing complex issues in intelligent transportation. This has resulted in many scientific papers being published across various transportation topics over the past decade. This paper conducts a systematic review of the intelligent transportation literature using a scientometric analysis, aiming to summarize what is already known, identify current research trends, evaluate academic impacts, and suggest future research directions. The study provides a detailed review by analyzing 113 journal articles from the Web of Science (WoS) database. It examines the growth of publications over time, explores the collaboration patterns of key contributors, such as researchers, countries, and organizations, and employs techniques such as co-authorship analysis and keyword co-occurrence analysis to delve into the publication clusters and identify emerging research topics. Nine emerging sub-topics are identified and qualitatively discussed. The outcomes include recognizing pioneering researchers in intelligent transportation for potential collaboration opportunities, identifying reliable sources of information for publishing new work, and aiding researchers in selecting the best solutions for specific problems. These findings help researchers better understand the application of ML and DL in the intelligent transportation literature and guide research policymakers and editorial boards in selecting promising research topics for further research and development.
Structuring and Recommendations for Research on the Construction of Intelligent Multi-Industry and Multihazard Emergency Planning Systems
Authors: Zhang Xiaolei , Zhao Kaigong , Li Changming , Li Yansu
Published: July 2024

During production and operation, enterprises are faced with occurrences of production accidents. One of the prerequisites for enterprises to achieve sustainable development is building an intelligent emergency command platform. To establish a scientific and advanced emergency management information system and address the challenges related to managing emergency plans to ensure production safety, such as ambiguous roles and responsibilities, inefficient application processes, independent resources, and slow responses by enterprises with multiple types of operations and disasters, an intelligent emergency command platform was built for multiple types of operations and disasters, and this platform was extended to include rescue steps. The structure and digital management of emergency plans under multiple coupled disasters and multipoint cogeneration were determined. Similar emergency plans were automatically recommended by crawler technology and an SVM algorithm based on a public information data lake, and the effectiveness of the plans was evaluated via a fuzzy analytic hierarchy process to promote the preparation of more efficient and scientific emergency plans. Finally, the analysis of pipeline leakage and emergency drill scenarios proved that the system is scientific and reliable. The results are of great significance for improving the deep integration of modern emergency-related information technology and emergency management businesses, promoting institutional and mechanical innovation, to provide a reference for other multibusiness enterprises, wchih can also be integrated into methods for urban safety and rescue.
Beyond Data Protection: Exploring the Convergence between Cybersecurity and Sustainable Development in Business
Authors: Morales-Sáenz Francisco Isaí , Medina-Quintero José Melchor , Reyna-Castillo Miguel
Published: July 2024

The increase in the use of information technology (IT) poses a challenge derived from the risks and threats of computer security in all areas of society. In this sense, cybersecurity emerges as an important pillar of support for protecting infrastructures essential for countries’ sustainable economic and social development. This paper explores the possible links between cybersecurity and sustainable development within the high-impact scientific literature. The study uses a systematic literature review methodology based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, ensuring a rigorous and structured approach to selecting and analyzing relevant literature. The scientific database Web of Science is used to ensure the integrity and quality of the data collected, following criteria widely validated in this type of methodology. The study reveals a significant interrelationship between cybersecurity and sustainable development in the business sphere. It highlights cybersecurity’s contribution to economic sustainability by protecting critical infrastructure and minimizing financial risks. Concerning environmental sustainability, cybersecurity facilitates the implementation of cleaner and more efficient technology. Social sustainability ensures personal data protection and fosters a culture of responsibility and trust within organizations.
Hedging Carbon Price Risk on EU ETS: A Comparison of Green Bonds from the EU, US, and China
Authors: Nguyen Nhung Thi , Nguyen Mai Thi Ngoc , Do Trang Thi Huyen , Le Truong Quang , Nguyen Nhi Hoang Uyen
Published: July 2024

This article aims to examine the hedging effect of green bonds in the US market, the European market, and the Chinese market on carbon price risk in the European Union Emission Trading System (EU ETS) from 2021 to 2023. By using daily datasets extracted from Bloomberg and the Vector Error Correction Model (VECM), the research provides evidence of the hedging effect of green bonds in all three markets on carbon price risk in the EU ETS. The paper concludes that the hedging ratio is positive for green bonds in the EU and China, while the figure for the US market is negative. Moreover, there is a positive effect of oil prices on carbon returns in EU ETS. Meanwhile, the opposite is found for stock prices.
Ag-Precipitated CuO Nanospheres for Enhanced Electrochemical Reduction of CO2
Authors: Xu Jinyun , Li Ming , Zhao Liping , Zhong Guoqiang , Zhang Yu , Zhang Ziqi , Sun Yu , Hu Xudong , Peng Zhe , Wang Yicong , Zheng Chunming , Sun Xiaohong
Published: July 2024

An electrochemical CO2 reduction reaction (CO2RR) is an effective way to reduce greenhouse gases by converting CO2 into high-value-added chemical products using electricity generated from renewable energy. In this paper, a Cu2O spherical catalyst was prepared by ascorbic acid reduction. The precipitated Cu-Ag spherical catalyst (P-CuO-Ag) was successfully prepared by calcining Cu2O-Ag with the introduction of an Ag component as the substrate. During the electrochemical reduction of CO2, the FE of the P-CuO-Ag catalyst for C2H4 at a potential of −1.1 V vs. RHE was as high as 39.8%, which was nearly twice that of the CuO catalyst, while the local current density JC2H4 for C2H4 reached 6 mA cm−2. The incorporation of Ag gives the spherical CuO catalyst higher electrochemical activity and better kinetic performance than the catalyst without Ag.
Detections of Rabbit Hemorrhagic Disease Virus 2 (RHDV2) Following the 2020 Outbreak in Wild Lagomorphs across the Western United States
Authors: Ringenberg Jourdan M. , Weir Kelsey , Linder Timothy , Lenoch Julianna
Published: July 2024

Rabbit hemorrhagic disease virus 2 (RHDV2) is a highly infectious, often fatal viral disease that affects both domestic and wild lagomorph species. In the United States (U.S.), the virus first was detected in wild lagomorph populations in the southwest in March 2020 and has continued to be detected in native North American lagomorph species over several years. The susceptibility of host species and exact mechanisms of environmental transmission across the U.S. landscape remain poorly understood. Our study aims to increase the understanding of RHDV2 in wild lagomorph populations by providing a history of detection. We present and summarize results from all RHDV2-suspect wild lagomorph morbidity and mortality samples submitted for diagnostic testing in the U.S. from March 2020 to March 2024. Samples were submitted from 916 wild lagomorphs across eight native North American species in 14 western states, of which 313 (34.2%) tested positive by RHDV2 RT-qPCR. Detections of RHDV2 in pygmy rabbits (Brachylagus idahoensis) and riparian brush rabbits (Sylvilagus bachmani riparius) suggest that the risk to threatened and endangered species warrants more attention. Continuing to investigate wild lagomorph morbidity and mortality events and tracking RHDV2 detections over time can help inform on disease epidemiology and wild lagomorph population trends.
Are Harmful Algal Blooms Increasing in the Great Lakes?
Authors: Bosse Karl R. , Fahnenstiel Gary L. , Buelo Cal D. , Pawlowski Matthew B. , Scofield Anne E. , Hinchey Elizabeth K. , Sayers Michael J.
Published: July 2024

This study used satellite remote sensing to investigate trends in harmful algal blooms (HABs) over the last 21 years, focusing on four regions within the Laurentian Great Lakes: western Lake Erie, Green Bay, Saginaw Bay, and western Lake Superior. HABs in the water column were identified from remote sensing-derived chlorophyll concentrations, and surface HAB scums were classified based on the Normalized Difference Vegetation Index (NDVI) band ratio index. Using imagery from the Moderate Resolution Imaging Spectroradiometer sensor on the Aqua satellite (MODIS-Aqua) from 2002 to 2022, we generated daily estimates of the HAB and surface scum extents for each region, which were then averaged to generate mean annual extents. We observed a significant decline in the Saginaw Bay mean annual HAB extents over the 21-year study period. Otherwise, no significant changes were observed over this period in any region for either the HAB or surface scum mean annual extents, thus suggesting that HABs are not increasing in the Great Lakes. Despite the lack of increasing trends, the blooms are still recurring annually and causing a negative impact on the nearby communities; thus, we believe that it is crucial to continue studying Great Lakes HABs to monitor the impact of current and future abatement strategies.
Quantifying Predictive Uncertainty and Feature Selection in River Bed Load Estimation: A Multi-Model Machine Learning Approach with Particle Swarm Optimization
Authors: Le Xuan-Hien , Huynh Trung Tin , Song Mingeun , Lee Giha
Published: July 2024

This study presents a comprehensive multi-model machine learning (ML) approach to predict river bed load, addressing the challenge of quantifying predictive uncertainty in fluvial geomorphology. Six ML models—random forest (RF), categorical boosting (CAT), extra tree regression (ETR), gradient boosting machine (GBM), Bayesian regression model (BRM), and K-nearest neighbors (KNNs)—were thoroughly evaluated across several performance metrics like root mean square error (RMSE), and correlation coefficient (R). To enhance model training and optimize performance, particle swarm optimization (PSO) was employed for hyperparameter tuning across all the models, leveraging its capability to efficiently explore complex hyperparameter spaces. Our findings indicated that RF, GBM, CAT, and ETR demonstrate superior predictive performance (R score > 0.936), benefiting significantly from PSO. In contrast, BRM displayed lower performance (0.838), indicating challenges with Bayesian approaches. The feature importance analysis, including permutation feature and SHAP values, highlighted the non-linear interdependencies between the variables, with river discharge (Q), bed slope (S), and flow width (W) being the most influential. This study also examined the specific impact of individual variables on model performance by adding and excluding individual variables, which is particularly meaningful when choosing input variables for the model, especially in limited data conditions. Uncertainty quantification through Monte Carlo simulations highlighted the enhanced predictability and reliability of models with larger datasets. The correlation between increased training data and improved model precision was evident in the consistent rise in mean R scores and reduction in standard deviations as the sample size increased. This research underscored the potential of advanced ensemble methods and PSO to mitigate the limitations of single-predictor models and exploit collective model strengths, thereby improving the reliability of predictions in river bed load estimation. The insights from this study provide a valuable framework for future research directions focused on optimizing ensemble configurations for hydro-dynamic modeling.
Effects of Brookite TiO2/CeO2 Nanocomposite on Artemia salina: Induction of Oxidative Stress and Apoptosis Assessment
Authors: Indelicato Stefania , Pecoraro Roberta , Scalisi Elena Maria , Coco Giuliana , Cartelli Simone , Lo Faro Riccardo , Scalisi Agata , Salvaggio Antonio , Fiorenza Roberto , Brundo Maria Violetta
Published: July 2024

TiO2 and CeO2 NPs are widely used in the medical field, for drug administration, oncological therapies, disinfection or diagnostic imaging. To date, their effects on aquatic ecosystems and their impacts on human health are little known but several scientific evidences show how CeO2 NPs are able to store and release oxygen, giving them antioxidant activity against oxidative stress while TiO2 NPs seem to be responsible for cytotoxicity and genotoxicity. In this study, the effects of combined nanoparticles, brookite TiO2/CeO2 nanocomposites, on A. salina nauplii following acute exposure were evaluated. Although the cytotoxicity of nanoparticles is generally dose-dependent and time-dependent, in the following investigation, exposure to combined nanoparticles, brookite TiO2/CeO2 nanocomposites, in A. salina nauplii would appear not to have had a statistically significant negative impact on the viability of the specimens. One of the mechanisms by which NPs exert toxic effects is the induction of oxidative stress. In this study, an assessment of potential oxidative stress and apoptotic damage on exposed organisms was conducted through the use of the DCFH2DA probe and acridine orange. The results obtained suggest that although acute exposure to different concentrations of brookite TiO2/CeO2 nanocomposites did not have lethal effects, the positivity to DCFH2DA and acridine orange observed does not exclude potential sublethal effects.
Influence of Rolling Resistance and Particle Size Distribution in the Simulation of Sand Infiltration into the Static Gravel Bed
Authors: Jaiswal Atul , Bui Minh Duc , Rüther Nils , Rutschmann Peter
Published: July 2024

Fine sediment infiltration and subsequent clogging in a gravel bed affect several fluvial, ecological, and biological processes, resulting in the degradation of the river ecosystem. Despite many experimental and a few numerical studies, the process is yet to be entirely understood. We employed a pure Lagrangian framework, called the Discrete Element Method (DEM), to numerically investigate the infiltration process. Special attention is given to tackling the issue of non-spherical and irregular particle shapes and particle size distributions (PSDs) in numerical simulations. Due to computational limitations, these aspects were either not considered or simplified in previous numerical studies. We implicitly included non-spherical and irregular shape effects through rolling resistance models, which do not cause excessive computational overhead. Our study shows that rolling resistance models greatly influence packing and fine sediment infiltration. However, they may also lead to unphysical particle behavior; thus, they should be carefully used in numerical simulations. Oversimplified PSDs do not mirror natural systems, and full PSDs pose computational challenges. Sufficient grain classes are needed to mimic the non-homogeneity and poly-dispersity found in natural fluvial sediments. The infiltrating characteristics of sand concerning PSD and shape effects are linked to size ratio D15,Gravel/D85,Sand, assuring physical and realistic modeling of the infiltration process.
Satisfacción con la relación de pareja y conflictos por el uso del celular en adultos peruanos
Authors: Concha Huarcaya Manuel Alejandro , Fuerte Montaño Leonardo , Soto Pérez Palma Recaredo Enrique , Gonzales Castro Gonzalo
Published: July 2024

En la relación de pareja, el empleo del celular puede llegar a ocasionar conflictos, lo que afectaría la valoración de la unión conyugal. Objetivo: Determinar la asociación entre la satisfacción con la relación de pareja y los conflictos por el uso del celular en adultos peruanos. Materiales y Métodos. Estudio cuantitativo, de tipo no experimental, transversal y correlacional. La muestra fue constituida por 325 adultos peruanos mediante un muestreo no probabilístico. La información se recolectó mediante la técnica de la encuesta y como instrumento dos cuestionarios, la Escala de Valoración de la Relación propuesto por Hendrick y la Escala de Conflictos Relacionados al uso del celular de Roberts y David. Resultados. La satisfacción con la relación de pareja fue mayormente moderada para el 43,5%. Entre tanto, indicaron algún nivel de conflicto por el uso del celular el 72,9%. Además, no se encontró diferencias significativas en la satisfacción con la relación de pareja según el sexo. Conclusiones. Existe relación negativa moderada y significativa entre la satisfacción con la relación de pareja y los conflictos por el uso del celular en adultos peruanos (rs= -0.456), donde se alcanzó una p=0,000 (<0.05). De esta manera se sostiene que a mayor satisfacción, menores serán los conflictos percibidos por el uso del celular.
Perfil clínico de pacientes com Síndrome de Guillain Barré em um hospital de Santa Catarina
Authors: Rocha Zin Pedro Henrique , Jeremias Fortunato Jucélia
Published: July 2024

Introdução. A síndrome de Guillain-Barré (SGB) pode ser definida como uma polirradiculoneuropatia inflamatória de origem autoimune, caracterizada pelo aparecimento de paresia e parestesia ascendentes e progressivas. Objetivo. Conhecer o perfil clínico e epidemiológico de pacientes diagnosticados com a SGB em um hospital do Sul de Santa Catarina. Método. Foi realizado um estudo epidemiológico observacional de delineamento transversal com uso de dados secundários. Resultados. Foram analisados 33 prontuários de pacientes diagnosticados com a SGB, dos quais 57,6% pertenciam ao sexo masculino e de etnia branca (94%). Observou-se que apenas 36,4% dos pacientes não obtiveram alta hospitalar após duas semanas, complicações foram encontradas em até 84,8% dos casos, apresentando estreita relação com a dissociação proteico-citológica e com a elevação das populações de neutrófilos. A imunoglobulina intravenosa corresponde ao método de tratamento instituído para 69,7% dos pacientes. Conclusão. A relação das concentrações séricas de neutrófilos parece expressar intrínseca relação com a evolução da condição em estudo. Além disso, seu manejo com a imunoglobulina representa o método mais bem estabelecido para o controle da evolução dos sintomas sensitivo-motores.
EFFECTS OF ALBUMIN ADMINISTRATION ON CYTOCHROME C-1 (CYC1) IN ISCHEMIA-REPERFUSION DAMAGED RAT OVARY
Authors: Kahraman Ali Alper , Bingöl Seyit Ali
Published: July 2024

This study aimed to examine the effects of albumin administration on ischemia-reperfusion in the rat ovary by using biochemical, histological, and immunohistochemical methods. Thirty-two Wistar albino rats were used in the study, and they were divided into 4 groups: control, albumin, placebo, and ischemia-reperfusion. Healthy ovaries were taken from the first group. In the other three groups, 2-hour ischemia and 2-hour reperfusion were applied to the bilateral ovaries. In the albumin group, intraperitoneal albumin (2.5 g/kg, 20% human albumin) was administered 30 minutes before reperfusion, and in the placebo group, the same volume of intraperitoneal saline was administered instead of albumin 30 minutes before reperfusion. Ovarian damage scores, cytochrome C-1 immunoreactivity, total oxidant status, total antioxidant status, and oxidative stress index levels were evaluated. In the statistical analysis performed between the groups, it was seen that the results of the control group were significantly lower than the ischemia-reperfusion group in terms of total oxidant status values (p=0.001), and the results of the ischemia-reperfusion group were significantly higher than the control and albumin groups in terms of oxidative stress index values (p<0.001 and p=0.004, respectively). In histological examinations, the total damage score obtained by evaluating follicular degeneration, edema, vascular congestion, and hemorrhage was found to be significantly higher in the ischemia-reperfusion group than in the control group (p=0.003). According to the immunohistochemical examination results, cytochrome C-1 immunoreactivity in the ischemia-reperfusion group was significantly stronger than the control and albumin groups (p<0.001). We think that albumin administration reduces cytochrome C-1, reactive oxygen species, and oxidative stress levels, therefore it will play a helpful role in the ischemia-reperfusion treatment process.
PARAMEDİK OLMAK İÇİN GEREKLİ ANTROPOMETRİK ŞARTLARIN, MESLEĞİN GEREKTİRDİĞİ FİZİKSEL YETERLİLİĞİ BELİRLEMEDEKİ ETKİSİ
Authors: Aygün Tayfun , Özyaşar Ali Faruk , Turhan Sevil
Published: July 2024

İnsan faktörü, günümüz toplumlarında üretkenliğin veya hizmetin devam edebilmesinin ilk basamağıdır. Bu yüzden her açıdan iyilik hali tüm meslek grupları için incelenmesi gereken parametreler içerir. Bazı meslek grupları için fiziksel uygunluk, hem iş gücü kaybını önlemede hem de mesleklerin getirdiği zorlu fiziksel stresle başa çıkmada önemli bir noktadır. Paramedikler için de fiziksel uygunluk önemlidir. Paramediklerin çalışma alanında birçok noktada karşılaşılan fiziksel stresle başa çıkabilmesinin ilk adımı iyi bir fiziksel kapasiteye sahip olmaktır. Ülkemizde farklı dönemlerde paramedik adayları için antropometrik kriterler istense de, bu uygulamadan vazgeçilmiştir ve fiziksel kapasiteyi değerlendiren etkinliği ve güvenilirliği yüksek uygulamaların olmayışı bizi bu çalışmaya yöneltmiştir. Çalışmamızda antropometrik özelliklerin incelenerek paramedikler için fiziksel yeterliliği belirleyip belirleyemeyeceğinin tayini amaçlanmıştır.
Çalışma Giresun Üniversitesi, Şebinkarahisar Sağlık Hizmetleri Meslek Yüksekokulu’nda gerekli tüm izinler alındıktan sonra İlk ve Acil Yardım programı öğrencisi olan 113 kişi ile uygulanmıştır. Bu çalışmada katılımcıların boy uzunlukları ve vücut ağırlıkları belirlenmiş ve beden kitle indeksleri hesaplanmıştır. Fiziksel performans tayininde ise, paramedikler için fiziksel yeterlilik testi protokolü olan “Omni Life Support Paramedic Physical Ability Test” uygulanmıştır.
Çalışmaya göre, katılımcı popülasyonunda boy uzunluğunun daha fazla olması (p<0.001) ve vücut ağırlığının daha fazla olması (p<0.001) fiziksel kapasiteyi olumlu etkilemektedir. Bununla beraber belirlenen antropometrik sınırlar içerisinde olanlar ile antropometrik şartları sağlamayanlar arasında fiziksel yeterlilik testi sonuçları açısından anlamlı bir fark bulunamamıştır (p>0,05). Tek başına antropometrik verilerin değerlendirmeye alınmasının mesleki fiziksel yeterliliğin belirlenmesinde yeterli olamayacağı, belirleyiciliği daha hassas ölçüm yöntemlerine ihtiyaç olduğu ve ülkemizde uygulanabilir fiziksel yeterlilik testleri protokollerinin hazırlanması ve uygulanması gerektiği düşünülmektedir.
Determination of Suitable Beekeeping Places in Sinop Province (Türkiye) By Weighted Overlay Analysis
Authors: Yaman Şule , Yaman Mustafa
Published: July 2024

Bees and beekeeping activities are very important for the sustainability of natural life. Beekeeping has become one of the main sources of income of our country due to products such as pollen, royal jelly, honey and wax obtained from beekeeping activities. In addition, our country's rich geography, climate and topography are very suitable for beekeeping activities. Interest in beekeeping activities has increased because it does not require large areas and costs, requires less maintenance than other agricultural activities, and has high income. With the increasing interest, conscious beekeeping, increasing the efficiency obtained from beekeeping activities and therefore determining suitable beekeeping places have gained importance. For this purpose, a study was carried out to determine suitable places for beekeeping in Sinop province, which is suitable for beekeeping activities due to its flora, climate and location. ArcGIS 10.7.1 program was used to determine suitable areas and weighted overlay analysis was performed using criteria such as slope, aspect, elevation, precipitation, vegetation, and distance to roads, streams and settlements. As a result of the analysis, it was determined that 96.38% of Sinop province was suitable for beekeeping. Additionally, it was checked whether the existing beekeeping sites were in suitable locations, and as a result, it was observed that approximately half of the beekeepers were in the correct locations.
Makine Öğrenmesi Tekniklerinin Sürüş Stili Sınıflandırmasında Kullanımı
Authors: Yıldız Doğan , Yıldız Gülcan , Demirci Sercan
Published: July 2024

Sürücü davranışlarının trafik güvenliğine önemli derecede etkisi vardır. Bu nedenle, sürücülerin davranışsal örüntüleri ve bu örüntüleri etkileyen etmenler tanımlanmalıdır. Sürücüler, araçlarını daha verimli ve kurallara uygun kullanmaya yönlendirilmelidir. Bu bağlamda, sürücünün aracını nasıl kullandığı gözlemlenerek, sürücülerin sürüş risk derecelerine uygun olarak sigorta ya da kasko ücretleri belirlenebilir. Bu çalışmada, Araç İçi Teşhis (On Board Diagnostics-II, OBD-II) ve Küresel Konumlandırma Sistemi (Global Positioning System, GPS) cihazlarından alınan işlenmiş ve etiketlenmiş telemetri verileri ile Makine Öğrenmesi (Machine Learning, ML) algoritmaları kullanılarak sürücülerin risk gruplarının sınıflandırılması gerçekleştirilmiştir. OBD-II ile araçtan elde edilen verilerin işlenerek sürücülerin risk derecesinin belirlenip bu risk derecesine göre sigorta şirketlerinin kişiye özel sigorta ücreti belirlemesinde yardımcı rol oynanması planlanmaktadır. Çalışmada Destek Vektör Makinesi (Support Vector Machine, SVM, CatBoost, k-NN (k-nearest neighbors, K-En yakın komşuluk) ve Hafif Gradyan Artırma Makinesi (Light Gradient Boosting Machine, LGBM)) olmak üzere dört model kullanılmıştır. Test sonuçları incelendiğinde en iyi tanımaya SVM modeli ile erişilmiştir.
Between Nation and the State: The Formation of the Populistic Vertical Antagonism in South Korea by Colonial Legacies and Anti-Communism
Authors: Kim Hyeonjun ,   Public Policy Research Institute, Korea University
Published: July 2024

This study argues the discrepancy between the spatial and temporal imaginations in South Korea and North Korea since nation-building yields populistic political antagonism as vertical, especially in South Korea. In this vein, this study first discusses the implantation of the word ‘people’ and other competitive terms like ‘nationals’ and ‘nation’ during and after the colonial rule. After that, the time-space of independence will be discussed based on how the political associations were formed during the military rule by the US Army. Lastly, the study concludes that the absence of horizontal political cleavage under the electoral democracy in South Korea had been due to colonial legacies and strong anti-communism, which is even relevant to the recent political history in Korea.
Post-COVID-19 Software Development Life Cycle Method Analysis: A Literature Review
Authors: Wiguna Kevin , Wahyuni Sri , Imelda Imelda
Published: July 2024

The evolution of Software Development Life Cycle (SDLC) methods post-COVID-19 has been critical in navigating the changing landscape of software development practices. This study conducted a comprehensive literature review to explain the adaptation and innovation of SDLC methods after the pandemic. It explores the importance of SDLC in information systems development and its role in promoting transparency, quality, and risk management. Leveraging a systematic literature review methodology, this study analyzes a series of studies published from 2021 to 2024, with a focus on SDLC models commonly used post-COVID-19. Despite potential bias in the selection of literature and limitations in time coverage, this study provides valuable insights into the most widely used uses of agile and scrum methodologies in various sectors, including business, education, government, finance, health, employment, and the food industry. This study underscores the importance of understanding the post-pandemic SDLC method landscape and its implications for software development practices. These findings are important for practitioners and researchers looking to navigate the dynamic environment of software development following the COVID-19 pandemic.
Prediksi Harga Bitcoin Menggunakan Algoritma Long Short Term Memory (LSTM)
Authors: Febriansyah Febriansyah , Sujjada Alun , Sembiring Falentino
Published: July 2024

Cryptocurrency is a digital currency made from sequence code or called blockchain, one of the cryptocurrencies is bitcoin. Prediction is a process that projects or imagines what might happen in the future based on data in the past or factors that influence the current situation. Bitcoin price prediction uses a deep learning approach with the Long Short Term Memory method. Long Short-Term Memory is a type of model from the Recurrent Neural Network (RNN) algorithm, a method designed to process data and can overcome the problem of price movements that have long-term dependencies that cannot be handled by traditional RNN models, the LSTM model has the ability “Remembers” information over long periods of time, so as to recognize patterns and trends. In this study, the prediction period used a dataset from 12 December 2020 to 14 April 2024. The evaluation results for the RMSE method for train data were 17318.40 and for test data were 27921.84 and for the MAPE method for train data it was 3.24% and for test data it was 3.24%. 5.36%. This shows that the RMSE and MAPE values in the data train are relatively small because they are vulnerable to the bitcoin price being too wide.
PENGELOLAAN SAMPAH DI DESA NEPO: PERAN LUBANG BIOPORI DALAM SOLUSI BERKELANJUTAN.
Authors: Asri Asri , Fajri DJ Muh
Published: July 2024

Di Kabupaten Polewali Mandar sampai saat ini sampah menjadi masalah utama salah satunya di Kecamatan Wonomulyo di Desa Nepo karena pengelolaan sampah di Desa ini masih kurang efektif minimnya kesadaran masyarakat untuk memilah dan mengelola sampah dengan benar,sehingga sebagian besar sampah masih berakhir ditempat pembuangan akhir. Dalam penanganan sampah rumah tangga, mayoritas warga Desa Nepo masih mengandalkan dengan membuang sampah yang ditimbun kemudian dibakar. Membakar sampah menjadi solusi yang tepat sejauh ini yang dilakukan masyarakat Desa Nepo. Pada sosialisasi ini masyarakat juga langsung dikenalkan dengan lubang biopori oleh Mahasiswa Praktek Belajar Lapangan (PBL) sebagai salah satu solusi dalam mengatasi sampah organik di Desa Nepo. Lubang resapan biopori diharapkan dapat memberikan manfaat ekologi dan ekonomi masyarakat bagi masyarakat desa Nepo. Manfaat lubang resapan biopori secara ekologi dapat mencegah banjir, sebagai tempat pembuangan sampah organik, menyuburkan tanah, dan meningkatkan kualitas air tanah. Pasca PBL II, enam bulan kemudian dilakukan PBL III yaitu melakukan evaluasi dan monitoring untuk mengukur tingkat keberhasilan hasil intervensi. Setelah Mahasiswa PBL mengamati, lokasi penanaman biopori di lahan kantor Desa Nepo. Hasil dari sampah organik yang telah dimasukkan ke dalam lubang resapan biopori telah terurai, dan hasilnya telah digunakan sebagai pupuk organik oleh masyarakat Desa Nepo.
Studi Proyek Independen Pembuatan Pestisida Nabati pada Pengendalian Hama dan Penyakit Bibit Kopi Robusta (Coffea canephora) di Desa Patambanua
Authors: Sasmito Rio , Karim Harli A , Makmur Makmur
Published: July 2024

AbstrakProgram Merdeka Belajar Kampus Merdeka Skema Studi Proyek Independen ini dilaksanakan di Desa Patambanua Kecamatan Bulo Kabupaten Polewali Mandar yang berlangsung pada bulan Januari sampai bulan Maret 2022. Penelitian ini dilaksanakan dengan menggunakan metode penentuan lokasi, pegumpulan data dan praktik lansung. Penelitian yang dilakukan bertujuan untuk memberikan edukasi, motivasi serta kesadaran masnyarakat untuk meningkatkan kualitas dan kuantitas bibit kopi dan pembuatan pestisida nabati ekstrak daun gamal.Berdasarkan hasil penelitian yang dilakukan pengaplikasian pestisida nabati ekstrak daun gamal efektif digunakan pada pengendalian hama dan penyakit bibit kopi.Kata kunci: Desa Patambanua, Pestisida Nabati,Kopi
ĐÁNH GIÁ SỰ HÀI LÒNG CỦA SINH VIÊN ĐIỀU NGÀNH DƯỠNG SAU KHOÁ HỌC THỰC HÀNH MÔ PHỎNG TẠI TRƯỜNG ĐẠI HỌC TRÀ VINH
Authors: Lam Tai Hoang Hieu , Ngo Le Hoang Giang , Nguyen Thi Tuyet Ngan
Published: July 2024

Mục tiêu của nghiên cứu là đánh giá sự hài lòng của sinh viên ngành Điều dưỡng sau khoá học thực hành mô phỏng tại Trường Đại học Trà Vinh năm 2022. Phương pháp nghiên cứu cắt ngang mô tả trên 166 sinh viên đượclựa chọn. Kết quả nghiên cứu cho thấy 78,7% sinh viên rất hài lòng về việc học thực hành mô phỏng, 18,6% sinh viên hài lòng và chỉ có 2,7% sinh viên không hài lòng. Điểm trung bình hài lòng nói chung là 4,13. Kết quả nghiên cứu cho thấy các yếu tố cơ sở vật chất (72,9%), giảng viên (89,9%), nhận thức của sinh viên (86,7%), thời gian học thực hành mô phỏng (78,9%) và phân nhóm thực hành (86,2%) đều có liên quan đến sự hài lòng của sinh viên và tác động cùng chiều đến sự hài lòng của sinh viên. Đồng thời, nghiên cứu cũng chỉ ra sự khác nhau giữa các yếu tố đến mức độ hài lòng của sinh viên học thực hành mô phỏng. Kết quả nghiên cứu cung cấp các dữ liệu hữu ích, góp phần cải tiến và nâng cao chất lượng dạy học với phương pháp thực hành mô phỏng của Trường Đại học Trà Vinh nói riêng cũng như các trường đại học, cao đẳng có đào tạo ngành Điều dưỡng nói chung.
ĐÁNH GIÁ AN TOÀN VI SINH VẬT CỦA NƯỚC ĐÁ TẠI THÀNH PHỐ TRÀ VINH, TỈNH TRÀ VINH
Authors: Ho Tan Tai
Published: July 2024

Nghiên cứu đánh giá an toàn vi sinh vật của nước đá được thực hiện ở các cơ sở sản xuất trên địa bàn thành phố Trà Vinh. Phương pháp nghiên cứu cắt ngang-mô tả, các cơ sở trên địa bàn thành phố Trà Vinh đều chọn vào nghiên cứu. Quy chuẩn kĩ thuật quốc gia QCVN 10:2011/BYT đối với nước đá dùng liền được sử dụng để làm tiêu chuẩn đánh giá. Các phương pháp kiểm nghiệm tiêu chuẩn vi sinh là ISO 9308-1:2014 và TCVN 8881:2011. Các tiêu chuẩn vi sinh được kiểm nghiệm là Escherichia coli, Coliform và Pseumodonas aeruginosa. Các mẫu được thu trực tiếp từ hầm chứa thông qua máng truyền cho vào lọ nhựa đã được khử trùng tâm Phân tích – Kiểm nghiệm, Trường Đại học Trà Vinh. Số liệu được quản lí và phân tích bằng phần mềm SPSS 20.0. Kết quả nghiên cứu cho thấy có 33/33 mẫu đạt tiêu chuẩn về vi sinh.
The Effect of GeoGebra-Assisted Problem-Based Learning on Students’ Mathematical Literacy Skills and Learning Motivation
Authors: Purbaningrum Mayang , Mahmudi Ali
Published: July 2024

This study aimed to examine the effect of GeoGebra-assisted problem-based learning on vocational high school students’ mathematical literacy and learning motivation. Thirty-three students of one chemical industry class in grade 11 of vocational high school were chosen as the subjects for this study period. Simple random sampling was employed for the sampling process. This study was quantitative research and used a quasi-experimental design in the form of one-group pretest-posttest design. In this study, tests, questionnaires, and documentation were used as data collection methods. Descriptive and inferential analyses using paired sample t-tests were performed on the test data. In the study's findings, mathematical literacy students got a p-value of 0.000 0.05 as a significant level, and learning motivation students got a p-value of 0.006 0.05 as a significant level, indicating a difference between the study's average before and after treatment. Because p-value 0.05, H0 is rejected. So, there is an average difference between the two test results. Based on those results, GeoGebra-assisted problem-based learning affects mathematical literacy and learning motivation of vocational high school students on financial mathematics material. Teachers can use Geogebra as one of the media that can develop students' mathematical literacy and learning motivation.
Good Citizen Values in Rasuna Said’s Struggle as a Character-Based History Learning Source
Authors: Wijayanti Finna , Maulana Wildhan Ichzha , Miftahuddin Miftahuddin
Published: July 2024

This research aims to describe Rasuna Said’s good citizen value based on an androgynous historical perspective and its relevance to the contextualization of character-based history learning in the “Merdeka Curriculum”. This research is included in the qualitative based on a literature review and uses a content analysis approach. Primary sources in this research, Fikiran Ra'jat magazine, Menara Poetri newspaper, and supported by several other secondary sources, all provide a contextualization of Rasuna Said’s civic knowledge, civic skills, and civic disposition in the history of her struggle. The results of this study are as follows: (1) to explain Rasuna Said’s struggle based on an androgynous historical perspective; (2) Describe Rasuna Said’s good citizen values, in this case, civic knowledge is shown through her critical attitude towards the problem of gender inequality and her decision to establish several formal educational institutions for the empowerment of women; civic skills are shown from the complexity of her skills, interaction style, and participation in society regardless of differences in individual and group backgrounds; then civic disposition is shown from her appreciation of the values and principles of gender equality for women which is actualized through her contribution to the organizations “Sarekat Ra’jat” and “PERMI”. (3) The value of good citizen Rasuna Said can strengthen the competence of the Pancasila student profile through its integration in the history learning of class XI Phase F of the “Merdeka Curriculum” material history of the nation’s struggle. The introduction of Rasuna Said’s good citizen values through history learning can be a solution to help students become democratic, superior, and productive citizens in the 21st century.
Mapping of Co-curricular Achievements in Kurikulum Merdeka with the Problem-Centered Thinking Skills Model
Authors: Utami Tuti , Susilana Rudi , Dewi Laksmi
Published: July 2024

This study aims to illustrate the mapping of co-curricular achievements in Kurikulum Merdeka as an effort to build adaptive co-curricular programs utilizing the Problem-Centered Thinking Skills (PCTS) model. By analyzing the relevant documents and regulations, including the implementation guidelines of Kurikulum Merdeka, the dimensions, elements, and sub-elements of the co-curricular programs are analyzed. The findings indicate that a significant portion of co-curricular achievements can be effectively developed into adaptive programs through the application of the PCTS model. This study highlights the importance of integrating the PCTS model in shaping adaptive co-curricular activities that promote critical thinking skills and enhance students' critical thinking within the framework of Kurikulum Merdeka. These insights provide practical recommendations for educators, curriculum designers, and policymakers to facilitate the formation of adaptive co-curricular programs that foster student engagement and develop essential skills. By incorporating the PCTS model, co-curricular activities can become dynamic platforms for students to actively participate in real-world problem-solving, nurturing their critical thinking abilities.