bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of heat stress interventions among outdoor workers: a protocol paper
Authors: Sankar Sajeeth Kumar , P Vijayalakshmi , S Krishnan , Shanmugam Rekha , Kamalakkanan Latha Perumal , Venugopal Vidhya 
Published: October 2024

IntroductionHeavy work in scorching temperatures can cause dehydration and heat stress, which can lead to a number of heat-related diseases. Heavy work in intense heat without rest or hydration is the main cause. The “Water, Rest, Shade” (WRS) intervention program for outdoor workers in hot weather reduces heat stress.MethodsThis study follows a quasi-experimental design involving 250 outdoor workers from both agriculture and brick kilns. To assess the environmental heat exposure levels, Quest Temp 3 M WBGT Monitor will be used. Tympanic temperature, Heart rate (HR), Sweat rate (SwR), and Urine specific gravity (USG) to assess the physiological responses to heat exposure using standard protocols. Blood samples will be collected to measure serum creatinine and calculate Glomerular filtration rate (GFR), and urine samples to measure pH, leucocytes, proteinuria, and hematuria. Then administer a validated and modified HOTHAPS questionnaire to capture the perception data. After the baseline assessments, Categorize the workers into two groups based on the selection criteria and the participants’ willingness. Then provide a week-long WRS intervention to the intervention group (IG). The non-intervention group will collect the same data without any intervention to assess the efficacy of the intervention by comparing both groups and measuring outcome indicators.Expected outcomeThe study will generate much-needed information to raise awareness of the importance of heat stress prevention for outdoor workers.ConclusionThis study will demonstrate the effectiveness of an intervention, provide much-needed strategies for reducing heat stress, assess both health impacts and implementation quality, and design comprehensive workplace and labor laws aim to minimise risks to millions of unorganised outdoor workers health.
Dietary changes during the COVID-19 lockdown in Iranian households: are we witnessing a secular trend? A narrative review
Authors: Nikooyeh Bahareh , Ghodsi Delaram , Amini Maryam , Rabiei Samira , Rasekhi Hamid , Motlagh Mohammad Esmaeil , Neyestani Tirang R. 
Published: October 2024

BackgroundThe COVID-19 pandemic, which emerged in late 2019, influenced nearly all aspects of human life, including food choices and dietary habits.MethodologyA web-based search was conducted from March to April 2024 in MEDLINE/PubMed, CINAHL, Embase, and the Cochrane Library for published reports of large-scale surveys of dietary changes during or shortly after the coronavirus pandemic lockdown in Iran. The keywords used were coronavirus OR COVID-19, diet OR nutrition, household, and Iran. Studies that focused on specific areas, subgroups (such as students), or just one city or province were not included. To monitor dietary changes from the years before the lockdown, we used and plotted data from the Household Income and Expenditure Survey (HIES), as provided by the Statistical Center of Iran.ResultsThe overall results of the nationwide studies conducted during the lockdown period in Iran revealed that a significant proportion of the households reduced their consumption of milk, yogurt, cheese, red meat, white meat, eggs, and rice/bread. In approximately 47% of the households where weekly consumption of animal protein sources decreased, the consumption of rice and bread increased. Accordingly, 35 and 44% of households reported a decrease in the consumption frequency of fruits and snacks, respectively. Additionally, 21% of those who reduced their fruit consumption completely removed fruits from their food basket. Meanwhile, the use of dietary supplements, especially vitamin D, vitamin C, zinc, and multivitamins, had increased in households, particularly among those with higher incomes. Decreased income was a common reason for all of these dietary changes, which can have major health consequences in the long term.ConclusionThis review provides evidence that the observed changes had already begun years before the pandemic and presumably have not yet returned to the pre-pandemic situation. Finally, we suggest some strategies for policymakers to overcome the crisis and enhance community the nutrition and health of general population.
Towards the design of a smart warehouse management system for spare parts management in the oil and gas sector
Authors: Khan Natalia , Solvang Wei Deng , Yu Hao , Rolland Bente Elisabeth 
Published: October 2024

IntroductionThe oil and gas production industry requires rapid changing. As oil and gas companies around the world are called upon to decarbonize, several sectors within the industry are attempting to find new ways of working to achieve decarbonization. One of those sectors is spare parts warehousing. During the past decades of oil and gas production, spare parts warehousing has not been prioritized in optimization measures. Warehouses have been filled with material, all activities have been performed manually, and financial expenditure has been high. Now, a large oil and gas production company in Norway is looking to optimize its spare parts warehousing to streamline its logistics activities and increase sustainability.MethodThis study addresses the optimization ambitions of the company and proposes key design elements of a smart warehouse management system using Industry 4.0 technology implementation. The study is conducted by performing a review of relevant literature and company ambitions, before embarking on a qualitative design measure to contribute to the company’s innovative success.ResultsThe study proposes optimization of the warehouse activities goods receipt, issuing of stocked goods, and inventory count. Additionally, the digital supply chain of tomorrow and the technical architecture of a track and trace system in the warehouse is suggested.DiscussionThe study’s results can be used in practical implications and provide a foundation for future research. Future research is suggested to include extensive visual simulations, practical implementation studies, and studies on long-term effects of implementation.
Influence of land-use types and topographic slopes on the physico-chemical characteristics of soils in Northwestern Ethiopia
Authors: Amare Hailu , Admase Habtamu , Ewunetu Tenagne 
Published: October 2024

AimsThis study examines the effects of land-use types and slope position on selected soil physico-chemical properties in the Ageza Watershed, Northwestern Ethiopia, focusing on soil fertility depletion and its impact on agricultural productivity.Materials and methodsThe experiment utilized a randomized complete block design (RCBD) with three replications, involving three land-use types and slope positions. A total of 27 soil samples (both disturbed and undisturbed) were collected, prepared, and analyzed for selected physico-chemical properties following standard laboratory procedures. Data were analyzed using two-way ANOVA with SAS software.ResultsSignificant variations in most soil physico-chemical properties were observed across land-use types and slope positions. Soil bulk density, organic carbon (OC), total nitrogen (TN), available phosphorus (Av. P), cation exchange capacity (CEC), and exchangeable bases significantly (P ≤ 0.001) differed among the land-use types and slope positions. The main effects showed significant (P ≤ 0.05) differences in sand, silt, and clay contents across the land-use types. However, pH did not show significant differences (P &gt; 0.05). Soil bulk density, silt content, Av. P, exchangeable bases, and CEC all showed significant (P ≤ 0.01) differences among the slope positions. Forest land had the highest values for clay (46.11%), OC (6.08%), Av. P (20.60 mg/kg), CEC (33.89 cmol (+) kg-¹), and exchangeable cations: Ca²+ (23.72 cmol (+) kg-¹), Mg²+ (4.40 cmol (+) kg-¹), K+ (1.18 cmol (+) kg-¹), and Na+ (0.77 cmol (+) kg-¹). Grazing land exhibited higher silt and bulk density, while cultivated land had higher sand content. Lower slope positions recorded the highest values for clay (47.33%), silt (20.77%), pH (4.90), Av. P (16.61 mg/kg), Ca²+ (20.10 cmol (+) kg-¹), Mg²+ (3.73 cmol (+) kg-¹), K+ (1.00 cmol (+) kg-¹), Na+ (0.66 cmol (+) kg-¹), and CEC (28.71 cmol (+) kg-¹), while bulk density was higher in the upper slope position.ConclusionLand-use types and slope positions significantly influence variations in soil physico-chemical properties and overall soil fertility status. Forest preservation and management are essential to improve the soil fertility in this region.
Case report: Orbital myeloid sarcoma: a report of two rare cases and review of the literature
Authors: Li Yanxi , Wang Yujiao , He Weimin 
Published: October 2024

Myeloid sarcoma (MS) occurs when primitive or naive myeloid cells form outside the bone marrow. It occurs mainly in soft/connective tissue and skin; orbital involvement is rare. We report the cases of two female adults, analyze the clinicopathologic characteristics, and review the literature. The average age of both patients was 28 years and they presented unilateral proptosis combined with varying degrees of impaired visual acuity and restricted ocular motility in the affected eye. Despite this, they maintained good overall health and no notable family history. However, the patients had no systemic clinical manifestations of acute myeloid leukemia (AML). Both patients underwent surgical resection of the orbital tumor. Immunohistochemistry showed positive staining for CD43, Leukocyte Common Antigen (LCA), and myeloperoxidase (MPO) and a high level of positive staining for Ki67, which were diagnostic for MS. Bone marrow cytology examination showed no apparent abnormalities. Postoperative chemotherapy, local radiotherapy, and allogeneic hematopoietic stem cell transplantation (allo-HSCT) were performed in Case 1, while the second patient underwent adjuvant chemotherapy and radiotherapy. No recurrence or metastasis was found in either patient during follow-up (one more than 5 years, the other more than 10 years). The occurrence of orbital MS is infrequent, with atypical clinical and imaging findings. The diagnosis depends on pathomorphology and immunohistochemical staining, and the prognosis is good with postoperative adjuvant chemotherapy, local radiotherapy, and allo-HSCT.
Influence of Loading Density and Gender on the Welfare and Meat Quality of Horses During Transport for Slaughter
Authors: Božić Jovanović Vesna , Trailović Ružica , Vićić Ivan , Grković Nevena , Radaković Milena , Karabasil Nedjeljko , Kaić Ana , Čobanović Nikola 
Published: October 2024

The aim of this study was to determine the effects of loading density and gender on blood welfare indicators, carcass bruises and horsemeat quality. Data were collected from twelve transports of 89 slaughter horses originating from the same collection centre. The transportation of slaughter horses at high loading densities (>200 kg/m2), especially stallions, resulted in increased levels of lactate (p = 0.021), glucose (p < 0.0001), ceruloplasmin (p < 0.0001) and AOPP (p < 0.0001), but lower GSH levels (p < 0.0001). Compared to stallions and mares, geldings subjected to high loading density (>200 kg/m2) during transport had lower levels of the aforementioned blood metabolites. In addition, stallions exposed to a high load density (>200 kg/m2) had the highest frequency of severe (p = 0.0002), large (p < 0.0001) and circular (p = 0.0001) carcass bruises, which were predominantly located on the abdominal (p = 0.0056) and thoracic (p = 0.0004) wall. In contrast, a higher percentage (p < 0.0001) of undamaged carcasses was found in slaughter horses exposed to a low loading density (≤200 kg/m2) during transport. Stallions exposed to high loading densities (>200 kg/m2) during transport had the highest initial pH (p < 0.0001) and ultimate pH (p = 0.005) in terms of m. longissimus lumborum and redness (p = 0.017), but the lowest drip loss (p = 0.050) and lightness (p < 0.0001), which, consequently, led to the highest (p = 0.0045) proportion of DFD-like defects in the meat quality. In conclusion, the results of this study showed that high loading densities (>200 kg/m2), regardless of gender, negatively affect horse welfare during transport. In addition, stallions were more sensitive to poor pre-slaughter conditions and produced the lowest meat quality, while geldings were the most resistant. To determine the optimal transport density, further research is needed to determine the effects of different loading densities on the behaviour, physiology, carcass and meat quality of slaughter horses.
Enhancing Machine Learning Models Through PCA, SMOTE-ENN, and Stochastic Weighted Averaging
Authors: Han Youngjin , Joe Inwhee 
Published: October 2024

Predicting survival outcomes in critical accidents has been a focal point in machine learning research. This study addresses several limitations of existing methods, including insufficient management of data imbalance, lack of emphasis on hyperparameter tuning, and proneness to overfitting. Many existing models struggle to generalize effectively on imbalanced datasets or depend on default hyperparameter settings, resulting in biased predictions. By integrating Principal Component Analysis (PCA), hyperparameter optimization, and resampling methods, as well as combining Edited Nearest Neighbors (ENN) with the Synthetic Minority Oversampling Technique (SMOTE), the model significantly improves predictive accuracy and model generalization. An ensemble model combining seven machine learning algorithms—Logistic Regression, Support Vector Machine, KNN, Random Forest, XGBoost, LightGBM, and CatBoost—was applied to predict survival outcomes. Stochastic Weighted Averaging (SWA) was applied to mitigate overfitting and enhance generalization. The accuracy increased from 91.97% to 94.89% after SWA was applied in this specific scenario. The combination of PCA-based dimensionality reduction, hyperparameter tuning, and resampling techniques (ENN + SMOTE) ensured the model handled data imbalance and optimized predictive accuracy. The final model demonstrated excellent performance, with Area Under the Curve (AUC) and Average Precision (AP) values both reaching 0.98, indicating high accuracy and precision. These improvements were validated using the Titanic dataset in a binary classification problem of predicting passenger survival. The results emphasize that ensemble learning, enhanced by SWA, offers a powerful framework for handling imbalanced and complex datasets, providing significant advancements in predictive modeling accuracy. This study provides insights into how machine learning techniques can be effectively combined to solve classification challenges in real-world scenarios.
Reconfigurable EIT Metasurface with Low Excited Conductivity of VO2
Authors: Li Ruijie , Feng Qiang , Lei Gaomou , Li Qifan , Liu Haixia , Xu Peng , Han Jiaqi , Shi Yan , Li Long 
Published: October 2024

The active materials-loaded reconfigurable metasurface is a potential platform for terahertz (THz) communication systems. However, the requirements of the modulation performance and the modulation rate put forward the opposite requirements on the excited conductivity of active materials. In this paper, we proposed a concept for a metal-doped active material switch that can produce an equivalent high excited conductivity while reducing the required threshold of the active material conductivity, thus balancing the conflict between the two mutual requirements. Based on it, we designed a reconfigurable electromagnetically induced transparency (EIT) metasurface driven by a low excited conductivity of vanadium dioxide VO2, which can achieve the amplitude modulation and amplitude coding under the control of light and electric. Simulation results validate the role of the metal-doped VO2 switch on the metasurface. This work provides a new scheme to mediate the contradiction between the modulation performance and the modulation rate in the requirement of active material’s excited conductivity, which facilitates the development of new terahertz modulators based on reconfigurable metasurfaces. In addition, the concept of a metal-doped active material switch will also provide a solution to the limitations of active material from the design layer.
Evaluation of ultrasonic and mechanical methods for assessing dentin demineralization in children's permanent teeth in vitro
Authors: Sedoykin A. G. , Ermoljev S. N. , Kiselnikova L. P. , Fokina A. A. , Gonibova A. A. 
Published: October 2024

Relevance. With the advent of advanced methods for functional diagnostics, dentists have gained new opportunities for detecting carious lesions. However, the diagnostic sensitivity of these methods requires further investigationPurpose. To evaluate the condition of intact and demineralized dentin in children's permanent teeth using both ultrasonic and mechanical methods.Materials and methods. Divided cross-section" models were created from premolars extracted from children for orthodontic purposes. After a 20-day exposure to a demineralizing buffer solution with a pH of 4.5, both the intact and demineralized dentin cross-sections were tested using ultrasonic and mechanical methods.Results. Statistically significant differences were observed in the mean ultrasonic signal speed C between two independent sample groups: intact dentin (Group 1) and demineralized dentin (Group 2), based on Mann-Whitney U-test calculations (p = 0.01). In Group 2, the mean value of C was 27% lower compared to Group 1. Additionally, significant differences were found in the mean ultimate strength σ between two independent groups: intact dentin (Group 3) and demineralized dentin (Group 4), with Group 4 showing a 29.5% reduction in the mean σ value, according to Mann-Whitney U-test calculations (p = 0.01).Conclusion. Demineralization leads to significant changes in both the ultrasonic and mechanical properties of dentin. Statistical analysis of the laboratory test results using the "divided cross-section" model supports the effectiveness and diagnostic sensitivity of the methods applied for evaluating the extent of dentin demineralization.
A Study on Issues and Challenges Faced by Mobile Banking with Reference to Customer Perspective
Authors: Johan Ananth R , Thandayudhapani S 
Published: October 2024

Mobile banking has transformed how customers interact with their finances, offering unprecedented convenience and accessibility. However, alongside its advantages, mobile banking also presents numerous challenges and concerns from the customer’s perspective. This abstract examines these challenges, covering topics such as security worries, privacy risks, usability hurdles, and technological barriers. Drawing from existing literature and empirical studies, it discusses the complexities of navigating mobile banking platforms, the significance of trust and confidence in digital financial services, and the necessity for continuous innovation to meet changing customer needs. By shedding light on these challenges, these abstract aims to enhance understanding of the customer experience in mobile banking and provide insights for policymakers, financial institutions, and technology developers to improve the mobile banking ecosystem.
Penerapan Metode ARIMA dalam Meramalkan Kebutuhan Energi Listrik di Kota Makassar
Authors: Maya Sari Wahyuni  , Zaki Ahmad , Hidayat Syarif , Pratama Muhammad Isbar 
Published: October 2024

. Tingkat pemakaian energi listrik di Kota Makassar tiap bulannya pada tahun 2018 sampai dengan 2022 berbeda-beda. Oleh karena itu, diperlukan peramalan agar dapat dilakukan pengelolaan dan perencanaan kebutuhan energi listrik dengan baik. Tujuan penelitian ini untuk mengetahui model ARIMA terbaik yang digunakan dalam peramalan kebutuhan energi listrik di Kota Makassar 12 bulan berikutnya. Tahapan untuk menentukan model ARIMA dimulai dari identifikasi kestasioneran data, indentifikasi model sementara, estimasi dan uji signifikansi parameter, uji asumsi residual, pemilihan model terbaik, melakukan peramalan serta uji ketepatan model peramalan. Hasil dari penelitian ini diperoleh model terbaik yaitu ARIMA(1,0,0) dengan nilai MAPE sebesar 0,4735% yang berarti bahwa model sangat baik dan layak untuk digunakan dalam peramalan.
Kata Kunci: Energi Listrik, ARIMA, MAPE

The level of electricity consumption in Makassar City every month from 2018 to 2022 is different. Therefore, forecasting is needed so that the management and planning of electrical energy needs can be carried out properly. The purpose of this study was to determine the best ARIMA model to be used in forecasting electricity demand in Makassar City for the next 12 months. The steps for determining the ARIMA model start with identifying the stationarity of the data, identifying temporary models, estimating ang testing the significance of parameters, testing the residual assumptions, selecting the best model, making forecasts and testing the accuracy of the forecasting model. The results of this study were obtained by the best model, ARIMA(1,0,0) with a MAPE value of 0,4735% which said that the model was very good and feasible to use in forecasting.
Keywords: Electrical Energy, ARIMA, MAPE
Prospects and Challenges of Smock Industry in Ghana: A Case Study of Tamale Metropolis
Authors: Asare Thomas O. , Ibrahim Abdul F. , Howard Peggy M. A. 
Published: October 2024

Smock seemed to have come from far in history and adored due to its beauty and cultural implications to the society. In recent times, the use of smock seemed to be trending as both the young and old, the working class and the non-working class, the rich and the poor find pride in wearing it. While it is becoming widely used and therefore holding high prospects of being an employment avenue for many, the industry, especially in the Tamale Metropolis, has challenges confronting these prospects. This study explores the prospects and challenges of the smock production industry in Ghana with a specific focus in the Tamale Metropolis. A mixed research approach was therefore employed for the study with the justification that, both qualitative and quantitative research needed to complement each other to produce a full sense of the data collected. A sample of 150 smock producers was purposively selected to respond to the questionnaires and interview. It was revealed that the youth (from 18 years or less to 39 years) were mostly attracted to the industry. The study also found that the smock production industry in the Tamale Metropolis has absorbed many unemployed hands, especially the youth in society. However, the major challenges confronting the industry are low patronage of the local fashion and high cost of raw materials for production. It was, therefore, suggested that the government, NGOs and development partners should map out strategic interventions to help revamp the sector to be able to absorb more unemployed Ghanaians in the society.