bluuebunny/crossref_metadata_2025_split huggingface dataset:
Whole genome and transcriptome analyses identify genetic markers associated with growth traits in Qinchuan black pig
Authors: Wang Yaxin , Lv Guangquan , Liu Zhe , Cheng Ye , Ding Rongrong , Yang Gongshe , Yu Taiyong 
Published: February 2025

Abstract

Background
Growth traits are economically important traits in pig breeding. However, the genetic mechanism of growth traits is still unclear. Qinchuan Black (QCB) Pigs are crossbred and produced by hybridizing Guanzhong Black (GZB) Pigs and Large White (LW) Pigs, its characteristics include fast growth and excellent meat quality. In this study, whole genome and transcriptome analyses revealed the candidate genes associated with growth traits in QCB pigs based on imputed low-depth whole-genome resequencing data.
Results
In total, we used 197 low-depth whole-genome resequencing data with an average depth of 3.5X, and then the data were imputed to resequencing data using SWIM reference panel, the imputation accuracy parameters, allele frequency r2 and concordance rate were 0.86 and 95.83%, respectively. A total of 30,489,782 SNPs were retained. A GWAS of ten growth traits by using fixed and random model circulating probability unification (FarmCPU) model, was performed in QCB pigs. We discovered seven genome wide significant SNPs and eight genome wide suggestive significant SNPs associated with body weight at 2 months (2-BW), body length at 2 months (2-BL), body height at 2 months (2-BH) and body height at 4 months (4-BH), and eighteen potential candidate genes were discovered. Transcriptomic data revealed that 18 differentially expression genes related to muscle and growth and development. Additionally, whole genome and transcriptome analyses found six genes (TENM3, CTNND2, RIMS1, PCDH7, ADGRL3 and CTNNA3) may affect the growth traits in Qinchuan Black pigs.
Conclusion
Our study shows that more candidate genes associated with pig growth traits can be identified by whole genome and transcriptome analyses. We found that six genes may be new key candidate genes affecting pig growth traits. In conclusion, our results help to clarify the genetic basis of growth traits and have laid a theoretical foundation for subsequent breeding and genetic research of this breed.
Investigating the Relationships Between COVID-19 Cases, Public Health Interventions, Vaccine Coverage, and Temperature in Ontario and Toronto
Authors: Chermahini Melinaz Barati , Hoeppner Vernon 
Published: February 2025

Abstract

Objective: We examined the relationship between COVID-19 cases and Public Health Interventions (PHIs). We also explored the relationship between cases and vaccine, and temperature. We compared the results with published mathematical models.
Methods: We developed monthly PHI scores using the Oxford COVID-19 Government Response Tracker for May 2020 to May 2021. We calculated PHI scores by summing the highest monthly score of each intervention and expressed the PHI score as a percentage of the maximum. We obtained vaccine coverage and temperature data from January 2021 to September 2023. We calculated Spearman’s rank-order correlation coefficients to examine correlations.
Results: Correlation for cases and PHI was positive (r = 0.947, p <.0001). Correlation for cases and vaccine coverage was approximately zero (r = 0.0165, p = 0.957) for January 2021 to January 2022, and negative for February 2022 to September 2023 (r = -0.816, p <.0001). Correlation for cases and temperature was negative for January 2021 to January 2022 (r = -0.676, p = 0.0112), and almost zero for February 2022 to September 2023 (r = -0.162, p = 0.494). Models showed negative correlation for PHI and vaccine coverage, and mixed results for temperature.
Conclusion: There was a positive correlation between cases and PHI. Prior to vaccine threshold coverage, there was no correlation for vaccination and negative correlation for temperature. Post vaccine threshold, there was a negative correlation for vaccination and no correlation for temperature. Correlation results for PHI and temperature differed from mathematical models.
Adaptive, ML-Enhanced Resource Management for High-Performance Cloud-Based Web Platforms
Authors: Lee Hojoon , Kim Minjun 
Published: February 2025

Abstract

Efficient resource management in cloud-based web platforms is critical to maintaining performance and cost efficiency under dynamic and unpredictable workloads. This paper proposes a novel resource management framework that integrates predictive workload modeling, multi-tier autoscaling, and cost-aware optimization. The framework utilizes machine learning models to forecast workload patterns and coordinates resource allocation across application, caching, and storage tiers, ensuring minimal latency and optimal resource utilization. Experimental results demonstrate a 45% reduction in mean latency and a 30% decrease in total resource costs compared to traditional threshold-based autoscaling. The framework also improves resource utilization to 85% on average while halving the frequency of scaling actions, reducing operational instability. These outcomes highlight the effectiveness of the proposed approach in balancing performance and cost objectives in complex cloud environments. The proposed framework advances the state of the art in cloud resource management by addressing inter-tier dependencies and leveraging predictive analytics for proactive scaling. Its adaptability to diverse workload patterns and potential applicability to multi-cloud and edge computing scenarios make it a scalable and robust solution for modern web platforms.
Analysis of the Genetic Association Between Immune Cell Phenotypes and Chronic Rhinosinusitis
Authors: Wang Enze , Sun Yingxuan , Zhao He , Wang Meng , Cao Zhiwei 
Published: February 2025

Abstract

Chronic rhinosinusitis (CRS), a prevalent and debilitating disorder, is characterized by persistent sinus inflammation and a complex interplay of immune cell phenotypes, inflammatory cytokines, and genetic factors.
This study employed bidirectional two-sample Mendelian randomization (MR) analysis to investigate the causal relationships between 731 immune cell phenotypes and CRS, utilizing data from the FinnGen and OPEN GWAS public databases.
The analysis revealed significant associations between CRS and specific immune cell phenotypes, including HLA-DR on CD14 monocytes (OR=1.118, p_adj_fdr=0.0003), CD14_CD16 monocytes (OR=1.116, p_adj_fdr=0.0002), dendritic cells (OR=1.085673909, p_adj_fdr=0.00118315), CD33 myeloid cell differentiation antigens (OR=1.110, p_adj_fdr=0.000195), and plasmacytoid dendritic cells (pDC) (OR=1.069, p_adj_fdr=0.00118). These findings suggest that aberrant immune cell function and genetic predisposition are pivotal in the onset and progression of CRS.
The insights gained from this study provide a foundation for the development of novel, precision medicine-based therapeutic strategies for CRS, targeting specific immune cell phenotypes and inflammatory pathways to enhance treatment efficacy and minimize side effects.
Accurate Calculation of 3-D Model of a New Type of Double Stator Permanent Magnet Spherical Motor
Authors: Chen Qing 
Published: February 2025

Abstract

A new type of double stator multi-DOF permanent magnet spherical motor (DS-PMSM) is proposed, which consists of two stators and a hollow rotor with PMs attached to its inner and outer surfaces. Through the joint action of the rotating motor and six arc-shaped permanent magnet linear motor arrays, it can realize the helical motion of continuously changing the direction of the rotating shaft, and can be applied to fields requiring multi-DOF motion such as industrial robots, aerospace, satellite communication. Considering that the spherical structure of the new motor has curvature in the circumferential direction and the axial direction, the curvature in the circumferential direction corresponds to the preliminary design of the 2-D cross-section, and the curvature in the axial direction corresponds to the accurate calculation of the 3-D model. Based on the preliminary design of 2-D cross-section of motor in the last article, an ideal 3-D structure is designed. Due to the limitation of existing machining technology, it can not meet the machining requirements of ideal spherical motor. Therefore, the structure is improved and the key parameters are optimized. Firstly, the improvement of the ideal spherical motor structure is described in detail. Considering the influence of helical motion on rotary motion, the optimal flattening coefficient of the inner PM is selected, and the inner PM are optimized in sections, so as to meet the electromagnetic performance and deflection angle and reduce the processing cost and difficulty. A torque measurement system platform based on six-axis force sensor is built to measure the influence of different rotation speed, deflection angle and stator current on the measured torque. The research results provide some reference value for the design of this kind of spherical motor.
DAM-Seg: Anatomically accurate cardiac segmentation using Dense Associative Networks
Authors: Ullah Zahid , Kim Jihie 
Published: February 2025

Abstract

Deep learning-based cardiac segmentation has seen significant advancements over the years. Many studies have tackled the challenge of anatomically incorrect segmentation predictions by introducing auxiliary modules. These modules either post-process segmentation outputs or enforce consistency between specific points to ensure anatomical correctness. However, such approaches often increase network complexity, require separate training for these modules, and may lack robustness in scenarios with poor visibility. To address these limitations, we propose a novel transformer-based architecture that leverages dense associative networks to learn and retain specific patterns inherent to cardiac inputs. Unlike traditional methods, our approach restricts the network to memorize a limited set of patterns. During forward propagation, a weighted sum of these patterns is used to enforce anatomical correctness in the output. Since these patterns are input-independent, the model demonstrates enhanced robustness, even in cases with poor visibility. The proposed pipeline was evaluated on two publicly available datasets, CAMUS and CardiacNet. Experimental results indicate that our model consistently outperforms baseline approaches across all metrics, highlighting its effectiveness and reliability for cardiac segmentation tasks.
Hydrogeochemical processes, water–rock interactions, and the suitability of groundwater in a semi-arid region, Northeastern Algeria
Authors: Benmerabet Nadia , Sedrati Nassima , Djabri Larbi 
Published: February 2025

ABSTRACT

Understanding groundwater geochemical evolution is crucial for sustainable water resource management, especially in semi-arid regions of Algeria where water scarcity poses a significant challenge. In this study, 65 groundwater samples were collected and analyzed during 2021 from various locations in the Laouinet-Morsott. Different geochemical applications were used to identify the main hydrogeochemical processes, the water–rock interaction, and the suitability of groundwater for drinking. The Laouinet-Morsott aquifers showed significant variations in mineralization that changed depending on sample location; more than 90% of these waters were highly mineralized. Most of the water samples could be classified as very hard-brackish or hard-brackish water. The study revealed that the increase in salinity is mainly due to geogenic processes, which are under the influence of anthropogenic activities to some extent. Dissolutions of halite, gypsum, anhydrite, calcite, and dolomite are the major processes contributing to and defining the groundwater chemistry in this plain. Moreover, calculated saturation index (SI) values indicate that aragonite, dolomite, and calcite are saturated, while the SI values for anhydrite, gypsum, and halite are unsaturated. Based on the water quality index, the groundwater quality ranged from good to unfit for drinking. More than 73% of all samples are categorized as poor, very poor, and unfit for drinking.
Towards the development of an online platform for an industry metabolic pathway
Authors: Khoury Mehdi , Evans Barry , Guleria Tavishi , Van Der Broeke Joep , Vamvakeridou-Lyroudia Lydia , Chen Otto , Mustafee Navonil , Chen Albert , Djordjevic Slobodan , Savic Dragan 
Published: February 2025

ABSTRACT

This paper presents the design of a web-based decision co-creation platform to showcase water treatment technologies connected via industrial symbiosis for a circular economy approach. The platform is developed as part of the EU H2020-funded ULTIMATE project. This system initially investigates three case studies focusing respectively on: water and nutrient recovery in greenhouses, pre-treatment of wastewater from olive mills before integration into communal wastewater systems, and value-added compound recovery from wastewater in a juice factory. These cases are then merged into one abstract composite example showing all three aspects of the problem, connecting greenhouses, juice factories, and olive mills, describing a pioneering form of industrial ‘metabolic network’ of the circular economy. This work describes the modelling framework, the online platform and the interactive visualisations that allow users to explore the industrial symbiosis configurations enabled by the metabolic pathway. The platform thus serves as a decision support tool that merges circular economy and industrial symbiosis, as well as a pedagogical tool.
Epidemiology Study of the Outbreak of Diseases Transmitted through Water and Food in Ardabil Province during the Years 2013-2022
Authors: Dargahi Abdollah , Zandian Hamed , Ghayeghi Arezoo , Gholizadeh Helia , Amini Saeed , Jafarzadeh Mohammad 
Published: February 2025

Background
Outbreak reporting is essential for a proper understanding of foodborne disease epidemiology. Accurate reporting makes it possible to identify the type of contaminated food, the location of the outbreak, and the factors affecting the consumption of contaminated food and to use this information in control and prevention strategies.

Objective
Therefore, this study was conducted to investigate the epidemiology of disease outbreaks transmitted through water and food in Ardabil province from 2013to 2022.

Methods
In the current study, the statistical population included all cases of food-borne diseases recorded in all cities of Ardabil province from 2013to 2022. The desired data were obtained from the Health Department of Ardabil University of Medical Sciences.

Results
The basis of diagnosis was all suspected patients who shared food or drinking water and shared digestive symptoms. After receiving the results of the tests of water, food, and human samples taken during the flood, the cause of the flood was determined, and the results were recorded as the final report of the flood in the portal of the Labor and Environment Health Center. After collecting the information in the researcher's checklist, it was entered into statistical software to analyze the data using statistical software. A total of 223 cases of flooding have been reported in Ardabil province. In terms of examining the months when the spread of the disease reached the maximum level, different data have been recorded. Khalkhal City, Ardabil City, and Beileh Savar City reported the highest number of floods. This prevalence was higher in urban areas and in the age group of 16 to 30 years. The dominant gender group was mostly women.

Conclusion
In most cases, the primary location was the home, and the main food consumed was kebab or broth. The causative agent remained unidentified in most patients.
Peran Regulasi Diri Terhadap Perilaku Phubbing dan Implikasinya Pada Ketahanan Pribadi (Studi pada Mahasiswa Universitas Gadjah Mada)
Authors: Setiawan Aan Fatwa 
Published: February 2025

ABSTRACT Students in their daily lives have a high tendency to use smartphones, so they are very vulnerable to being exposed to phubbing behaviour. Therefore, students need self-regulation as an ability to deal with various vulnerabilities that are present continuously, so that an effort is needed to mitigate, navigate, and intervene in personal resilience of student. Researchers used a mixed-methdos explanatory design to obtain data on the role and description of self-regulation on phubbing behaviour, as well as its implications for the personal resilience of Gadjah Mada University students. In quantitative research, 177 student participants were obtained, while in qualitative research, 6 student participants were obtained. The results showed that self-regulation has a significant role in phubbing behaviour in Gadjah Mada University students. There are 76% of students in the category of moderate self-regulation and moderate phubbing behaviour. In self-regulation there are two abilities, namely external abilities and internal abilities. While in phubbing behaviour there are two tendencies, namely phubbing victims and phubbing perpetrators. The combination of internal and external abilities can help students manage phubbing behaviour more effectively, indicating that strong self-regulation can reduce the tendency to engage in phubbing behaviour. Then on the implications of the research, it was found that students' personal resilience becomes vulnerable when they become phubbing perpetrators or phubbing victims and present new threats, disturbances, obstacles, and challenges (AGHT) for students as the successor to the leadership of the nation and state.
Motor skills of U15 category soccer players playing in different positions on the field
Authors: Wilk Adrian , Górski Michał , Pastuszak Anna , Michalak Bartłomiej , Rdzanek Justyna , Buśko Krzysztof 
Published: February 2025

Abstract

Study aim: The aim of the study was to evaluate the differences in strength and jumping abilities of adolescent soccer players playing in different positions on the field.

Material and methods: The study included 41 adolescent (14.53 ± 0.68 years old) soccer players: 6 goalkeepers (GK), 13 defenders (DF), 15 midfielders (MD) and 7 strikers (ST). We measured peak torques (PT), total work (TW), and average power (AP) developed by the knee flexors and extensors under isokinetic conditions at angular velocities of 300°·s−1, 180°·s−1 and 60°·s−1 on a Biodex dynamometer, as well as jump height (h), jump depth (d) and power (Pmax) on a force plate.

Results: There was a statistically significant difference in body height between GK (181.17 ± 10.40 cm) and MD (165.60 ± 9.07 cm). PT, AP, TW, h, and Pmax showed no statistically significant differences between the positions on the field. Significant correlations between jumping height and isokinetic measurements of the quadriceps were found in MD (p < 0.05). Correlations between jump power and isokinetic measurements of the quadriceps were found in all types of jumps in the DF and MD groups, whereas no correlation in the bounce counter-movement jump was shown by GK and ST (p > 0.05). MD showed an inverse relationship between the PT, AP, and TW at movement velocities of 300°·s−1 and 180°·s−1, and the jump depth in the akimbo counter-movement jump and counter-movement jump.

Conclusion: The observed differences in correlations between the positions are likely due to the different tasks assigned to the specific position during the match.
Improving the Properties of Recycled Self-Hardening Aluminium Alloy for Application in Electric Vehicles
Authors: Mikolajčík Martin , Tillová Eva , Sanchez Jon Mikel , Šurdová Zuzana 
Published: February 2025

Abstract
In recent years, the topic of environmental issues has become increasingly important in all areas of industry. As a result of European Union policy, there has been a significant increase in the number of electric vehicles. At the same time, there is an increasing emphasis on ecological and sustainable production. Due to their advantageous strength-to-weight ratio, aluminium alloys are widely used in automobiles and are a logical choice for electric vehicles. Aluminium recycling is a very efficient way of reducing production costs and emissions. Self-hardening aluminium alloys enable heat treatment to be omitted, leading to further energy savings. The limiting factor of secondary production is the insufficient purity of aluminium scrap, which leads to contamination with impurities. In particular, the negative impact of iron, which is found in higher content in recycled alloys after repeated recycling cycles, is well known. Its presence leads to a deterioration of the mechanical, fatigue and corrosion properties of aluminium alloys. This work examines ways to reduce iron content in AlZn10Si8Mg self-hardening alloy using a sedimentation experiment. The crystallization temperature of iron phases is higher than that of the matrix. Therefore, holding the material at a specific temperature is expected to cause iron phases to settle, reducing the iron content.
Forms of Booking on-demand Transport
Authors: Hora Jakub , Císařová Hana 
Published: February 2025

Abstract
This paper examines the interaction between passengers and flexible transport systems, as well as the characteristics of flexible transport systems that are important to users. It presents flexible transport systems introduced in the Czech Republic since 2023 and defines their key parameters. Based on these parameters, evaluation criteria are established and weighted using the Saaty method. The criteria are then categorized according to shared characteristics and weights. The outputs of the Saaty method provide a framework for evaluating and implementing flexible transport systems. To analyse a given area, the authors recommend conducting a SWOT analysis, whose findings can be used for the considered areas of on-demand transport implementation. Subsequently, the findings of the paper can be applied. The paper addresses operations in peripheral areas and during off-peak hours. The aim is to assess the differences between the interaction of individual transport systems with users, and to propose recommendations for optimizing both existing and emerging flexible transport systems.
Forecasting Heat Demand of Residential Buildings Connected to District Heating: The Case of Riga
Authors: Rieksta Madara , Zarins Emils , Brumana Giovanni , Bazbauers Gatis 
Published: February 2025

Abstract
A large proportion of greenhouse gas emissions come from heating and hot water supply and developed district heating systems will play an important role in meeting climate targets. The research presents a methodology for the study of the influence of combined factors on future thermal energy demand. System dynamics modeling has been applied to residential buildings in terms of renovation, new building construction, subsidy fund and assessment of reducing future thermal energy and greenhouse gas emissions. Changes in the consumption of thermal energy of district and decentralized thermal supply, under the influence of energy efficiency and financial factors were studied. Renovation of old buildings has a great impact on achieving the goals set on the way to climate neutrality by reducing heat energy consumption. As shown by the simulations carried out with the existing funding and legislation, by 2050 the expected reduction for users of district heat supply in Riga is 3 % and for users of alternative heating 2 %, from the existing 2023 consumption.