bluuebunny/crossref_metadata_2025 huggingface dataset:
Managing Stress and Somatization Symptoms Among Students in Demanding Academic Healthcare Environments
Authors: Antoniadou Maria , Manta Georgia , Kanellopoulou Antonia , Kalogerakou Theodora , Satta Alessandra , Mangoulia Polyxeni
Published: December 2024

Introduction: Stress is a common concern among healthcare students, due to the demands of their coursework and the elevated expectations they face. Especially among dentistry and nursing students, the phenomenon, although well-documented, covers psychosocial and physiological dimensions, with somatization symptoms being less explored. These manifestations are crucial to identify discipline-specific stressors and health impacts that can lead to targeted interventions for both disciplines. Aim: This study investigates stress perceptions, somatization, and coping strategies among 271 nursing and dentistry students at the National and Kapodistrian University of Athens. Methodology: An e-questionnaire was open for submissions during February and March 2024. Results: Females reported higher stress somatization (M = 10.22, SD = 5.23) than males (M = 7.94, SD = 6.14; Cohen’s d = 0.412, p < 0.05). The interpretation of stress as “restlessness and psychological pressure” was more prevalent in dentistry students compared to nursing students. Moreover, nursing students who perceived stress as the “inability to manage unexpected or difficult situations, insecurity, panic” were more likely to experience stress somatization symptoms, while for dentistry students, stress somatization was related to “pressure to meet daily obligations/long-term goals”. Physical symptoms for all students included chest discomfort, digestive issues, and headaches/nausea. Also, dentistry students reported more teeth clenching or grinding than nursing students. Short-term coping strategies included emotional balance, managing stressors, situation analysis, and breathing techniques. Long-term strategies involved distraction and entertainment, physical exercise, and patience. A higher willingness to seek coaching support correlated with higher stress somatization among dental students. Nursing students favored psychological support, while dentistry students suggested curriculum revision and improved infrastructure. Discussion/Conclusions: Females exhibited higher stress somatization levels, with themes of insecurity and physical symptoms. Nursing students reported higher somatization linked to insecurity, while dental students associated stress with daily obligations and goals. The study highlights the need for improved support systems, flexible academic procedures, and better communication to address stress in healthcare academia.
Knowledge Management and Digital Innovation in Healthcare: A Bibliometric Analysis
Authors: Stoumpos Angelos I. , Talias Michael A. , Ntais Christos , Kitsios Fotis , Jakovljevic Mihajlo
Published: December 2024

Background/Objectives: In recent years, knowledge management and digital innovation have become pivotal in transforming healthcare systems, driving efficiency and enhancing patient outcomes. This study presents a bibliometric analysis of research trends at the intersection of knowledge management and digital innovation in healthcare, examining the scope, impact, and evolution of scholarly work in this domain. Methods: Using a comprehensive dataset from the Scopus database, we analyzed 419 publications from 1985–2023 to identify influential authors, journal collaborations, and emerging topics and methodologies in the field. Results: Our findings reveal a significant increase in research interest, highlighting themes such as data-driven healthcare, artificial intelligence in clinical decision support, and knowledge-sharing platforms’ role in improving healthcare delivery. The analysis also underscores the growing importance of interdisciplinary collaboration between healthcare providers, technologists, and policy-makers. Conclusions: By mapping the intellectual structure of knowledge management and digital innovation in healthcare, this study provides valuable insights for academics, practitioners, and policy-makers seeking to harness knowledge management practices and digital technologies to foster innovation and resilience in healthcare systems.
Awareness and Attitudes of the Saudi Population Towards Bariatric Surgery in Saudi Arabia
Authors: Alghalyini Baraa , Zaidi Abdul Rehman Zia , Faroog Zainudheen , Aljejakli Mohamad , Garad Najib Fares , Nyroze Muaadh Shariff Muhammad , Ejaz Muhammad Usaid , Khedr Mustafa , Yousif Mohamed , Khan MSM Abrar Fuad , Khateeb Abdulghaffar
Published: December 2024

Background: Obesity is a growing public health concern worldwide, and Saudi Arabia faces rising rates of obesity-related conditions, including diabetes and cardiovascular diseases. Bariatric surgery is a recognized treatment for severe obesity, offering significant health benefits. This study evaluates the Saudi population’s awareness and attitudes towards bariatric surgery, examining knowledge levels, perceptions, and potential barriers. Methods: A cross-sectional survey was conducted among adults in Riyadh using convenience and snowball sampling. The survey included demographic data, awareness of obesity and bariatric surgery, attitudes towards the procedure, perceived barriers, and willingness to consider surgery. Data were analyzed using descriptive statistics and logistic regression. Results: Among 313 participants (mean BMI 26.98 kg/m2), 41.9% identified obesity as a disease, and 48.9% recognized the effectiveness of bariatric surgery for severe obesity. Knowledge scores averaged 4.08 (out of 5) for obesity and 3.28 (out of 6) for bariatric surgery. Significant associations were found between bariatric surgery knowledge and gender (p < 0.001), BMI (p = 0.004), income (p = 0.025), and educational level (p = 0.001). While 71.2% would not consider surgery, misconceptions about risks, stigma, and cost remain common barriers. Conclusions: Although awareness of bariatric surgery in Saudi Arabia is moderate, misconceptions about safety and financial constraints persist. Public education campaigns are necessary to dispel myths, improve understanding, and promote bariatric surgery as a viable treatment option for severe obesity. Expanding insurance coverage and financial support may also enhance accessibility and adoption of this life-saving intervention.
Innovative Biotherapies and Nanotechnology in Osteoarthritis: Advancements in Inflammation Control and Cartilage Regeneration
Authors: Liu Binhan , Liu Tao , Li Yanhong , Tan Chunyu
Published: December 2024

Osteoarthritis (OA) is among the most prevalent degenerative joint disorders worldwide, particularly affecting the aging population and imposing significant disability and economic burdens. The disease is characterized by progressive degradation of articular cartilage and chronic inflammation, with no effective long-term treatments currently available to address the underlying causes of its progression. Conventional therapies primarily manage symptoms such as pain and inflammation but fail to repair damaged tissues. Emerging biotherapies and regenerative medicine approaches offer promising alternatives by addressing cartilage repair and inflammation control at the molecular level. This review explores the recent advancements in biotherapeutic strategies, including mesenchymal stem cell (MSC) therapy, growth factors, and tissue engineering, which hold the potential for promoting cartilage regeneration and modulating the inflammatory microenvironment. Additionally, the integration of nanotechnology has opened new avenues for targeted drug delivery systems and the development of innovative nanomaterials that can further enhance the efficacy of biotherapies by precisely targeting inflammation and cartilage damage. This article concludes by discussing the current clinical applications, the ongoing clinical trials, and the future research directions necessary to confirm the safety and efficacy of these advanced therapies for OA management. With these advancements, biotherapies combined with nanotechnology may revolutionize the future of OA treatment by offering precise and effective solutions for long-term disease management and improved patient outcomes.
Effects of Oral Ingestion of L-Ornithine on Mental Stress and Fatigue Based on the Trier Social Stress Test in Healthy Humans: A Randomized, Double-Blind, Placebo-Controlled, Parallel-Group Trial
Authors: Moriyasu Kazuki , Nakajima Atsushi , Morita Masahiko
Published: December 2024

Background: With changes in the social environment typified by COVID-19, an increasing number of people are suffering from mental stress in interpersonal relationships and the resulting fatigue in recent years. L-ornithine oral ingestion reportedly suppresses the secretion of cortisol, a stress marker, through the hypothalamic–pituitary–adrenal (HPA) axis. However, there is insufficient research to determine whether L-ornithine exerts an ameliorative effect on social stress. Therefore, in this study, we investigated how L-ornithine affects mental stress and fatigue after social stress in healthy participants. Methods: We randomly assigned 65 participants into two groups, ingesting orally either 1600 mg of L-ornithine or a placebo for 7 days. On the day of the Trier Social Stress Test (TSST), participants took test products one hour before the testing. We evaluated the effects on saliva cortisol and mood states, including fatigue. Results: While L-ornithine did not affect saliva cortisol levels, it significantly improved the fatigue–inertia and anger–hostility scales of the Profile of Mood States on the morning after the TSST in the L-ornithine group compared to the placebo group. Conclusions: In conclusion, L-ornithine could potentially improve interpersonal social-stress-associated fatigue without involving the HPA axis. Trial registration: UMIN Clinical Trials Registry: UMIN000048949.
Usefulness of Intraoperative Neurophysiological Monitoring in Intradural Spinal Tumor Surgeries
Authors: Cabañes-Martínez Lidia , Fedirchyk-Tymchuk Olga , López Viñas Laura , Abreu-Calderón Federico , Carrasco Moro Rodrigo , Del Álamo Marta , Regidor Ignacio
Published: December 2024

Objective: Due to the absence of studies supporting the role of intraoperative neurophysiological monitoring (IONM) in intradural spinal tumors, this study evaluates the clinical outcome after these surgeries in relation to the use of the advanced intraoperative neurophysiological techniques. Methods: This is an observational, descriptive and retrospective study of two cohort groups in relation to the presence or absence of IONM during the intervention and the subsequent evaluation of the clinical and functional results in the short and medium terms. Ninety-six patients with extra- or intramedullary intradural spinal tumors operated on by the neurosurgery team of our center completed the current study. Results: We observed improvements in the Prolo, Brice and McKissock and McCormick scales scores in the monitored patients. These results examine the usefulness of IONM to preserve neurological functions and, therefore, its impact on quality of life. The rate of neurological deficits in the unmonitored patients was 14.5%, whereas it was 8.3% of the patients whose treatment included IONM. Conclusions: It is important to emphasize the importance of implementing IONM for early recognition of possible neurological damage, the improvement of postoperative functional outcomes, and for decreasing the rate of neurological complications. Significance: This study provides reliable results on the importance of IONM in intradural spinal tumor surgeries.
Subsidence and Clinical Impact of Obesity in Short-Stem Total Hip Arthroplasty Using a Collarless, Triple-Tapered, Cementless Stem
Authors: Gruber Michael Stephan , Schöning Johannes , Bischofreiter Martin , Kindermann Harald , Schulz Arndt-Peter , Hinz Nico , Mayböck Emanuel , Ortmaier Reinhold
Published: December 2024

Background: Short-stem total hip arthroplasty (THA) has gained popularity due to its bone-sparing technique, but its outcomes in patients with obesity remain uncertain. The aim of this study was to investigate the impact of obesity on postoperative subsidence and clinical outcomes after short-stem THA. Methods: A retrospective cohort study with a minimum follow-up of 24 months was conducted on 163 patients who underwent short-stem THA with a collarless, triple-tapered, cementless stem achieving fixation in the metaphyseal region. Patients were categorized into obesity (Body Mass Index, BMI ≥ 30 kg/m2) and nonobesity (BMI < 30 kg/m2) groups. Subsidence rates, clinical outcomes, and complications were analyzed to assess the influence of BMI on the outcome of short stem THA. Regression analysis was performed to assess the influence of the independent variables (BMI, stem size, deviation from planning) on subsidence. Results: The obesity group (mean follow-up 58.6 months) exhibited significantly greater subsidence rates than did the nonobesity group (mean follow-up 38.9 months; 2.6 mm vs. 2.2 mm, p = 0.015). After removal of outliers, regression analysis revealed no linear relationship between BMI and subsidence (p = 0.35), but planned stem size was significantly correlated with subsidence (p = 0.005). Moreover, patients with obesity and larger planned stem sizes experienced greater subsidence. Clinical outcomes improved significantly in both groups. Conclusions: Obesity is associated with increased subsidence in short-stem THA, particularly in patients with larger planned stem sizes. Although BMI alone may not predict subsidence, careful selection of stem size and precise imaging techniques are crucial for minimizing subsidence risk in patients with obesity.
Kinesiophobia and Its Correlation with Upper Limb and Hand Functionality Among Individuals with Wrist/Hand Injury: A Cross-Sectional Study
Authors: Villalobos-García Atenea , Cruz-Gambero Leire , Ucero-Lozano Roberto , Valdes Kristin , Cantero-Téllez Raquel
Published: December 2024

Background/Objectives: Wrist/hand injury incidences in the general population are high and contribute to a significant health problem. Fear of pain from movement can impact physical recovery, contributing to prolonged disability and impaired function in an upper limb after wrist/hand injury. The study’s objectives are (1) to evaluate the relationship between kinesiophobia, pain catastrophizing, QuickDASH, and Patient-Rated Wrist Evaluation and (2) to evaluate the data regarding the influence that basal kinesiophobia may have on upper limb functionality after wrist/hand immobilization. Methods: Participants referred from different medical centers with a wrist or hand injury that required immobilization were enrolled in the study. Data were collected just after the post-immobilization period. The following outcome measures were evaluated: the QuickDASH, the PRWE (Patient-Rated Wrist Evaluation), the TSK (Tampa Scale of Kinesiophobia), and the PCS (Pain Catastrophizing Scale). Demographics were summarized with descriptive statistics and linear relationships between variables using Pearson’s correlation coefficient. Furthermore, multivariate linear regression analysis was performed to determine whether kinesiophobia could predict upper functional performance. Results: 64 patients (40 women, 24 men) participated in the study. Significant kinesiophobia positive correlations were found between the TSK and the QuickDASH (r = 0.848, p < 0.001) as well as the TSK and the PCS error (r = 0.521, p < 0.001). The regression model explains 30.4% of the variance in upper limb function, suggesting that the PRWE, the Pain Catastrophizing Scale, and the QuickDASH are important in predicting dysfunction. Conclusions: Kinesiophobia may contribute to but is not a significant predictor of dysfunction in this model.
Finite Element Analysis of Cutting Temperature in Precision Cutting of Composite Energetic Material
Authors: Xiao Caiwei , Lu Shijin , Zhang Wenxin , Zhang Junjie , Liu Junwei
Published: December 2024

While ensuring thermal safety is critically required in the operation of the composite energetic material, the cutting temperature is a crucial parameter that must be investigated and controlled in its cutting process to avoid thermal explosion. In this paper, we elucidate the mechanisms of heat generation and conduction during the cutting process of a composite energetic material by establishing a microstructure-based finite element (FE) simulation model considering thermal effects. Specifically, we simulated the cutting process of the composite energetic material by FE simulations, with a focus on the variations in the cutting force, the initiation and conduction of the cutting temperature, and the correlation of the damage behavior of the composite energetic material. Subsequently, we conducted a parametric investigation of the effect of cutting speed on the damage behavior and cutting response of the composite energetic material. This paper provides valuable insights for the exploration of the cutting processes of composite energetic materials.
Enhancing YOLOv5 Performance for Small-Scale Corrosion Detection in Coastal Environments Using IoU-Based Loss Functions
Authors: Yu Qifeng , Han Yudong , Han Yi , Gao Xinjia , Zheng Lingyu
Published: December 2024

The high salinity, humidity, and oxygen-rich environments of coastal marine areas pose serious corrosion risks to metal structures, particularly in equipment such as ships, offshore platforms, and port facilities. With the development of artificial intelligence technologies, image recognition-based intelligent detection methods have provided effective support for corrosion monitoring in marine engineering structures. This study aims to explore the performance improvements of different modified YOLOv5 models in small-object corrosion detection tasks, focusing on five IoU-based improved loss functions and their optimization effects on the YOLOv5 model. First, the study utilizes corrosion testing data from the Zhoushan seawater station of the China National Materials Corrosion and Protection Science Data Center to construct a corrosion image dataset containing 1266 labeled images. Then, based on the improved IoU loss functions, five YOLOv5 models were constructed: YOLOv5-NWD, YOLOv5-Shape-IoU, YOLOv5-WIoU, YOLOv5-Focal-EIoU, and YOLOv5-SIoU. These models, along with the traditional YOLOv5 model, were trained using the dataset, and their performance was evaluated using metrics such as precision, recall, F1 score, and FPS. The results showed that YOLOv5-NWD performed the best across all metrics, with a 7.2% increase in precision and a 2.2% increase in F1 score. The YOLOv5-Shape-IoU model followed, with improvements of 4.5% in precision and 2.6% in F1 score. In contrast, the performance improvements of YOLOv5-Focal-EIoU, YOLOv5-SIoU, and YOLOv5-WIoU were more limited. Further analysis revealed that different IoU ratios significantly affected the performance of the YOLOv5-NWD model. Experiments showed that the 4:6 ratio yielded the highest precision, while the 6:4 ratio performed the best in terms of recall, F1 score, and confusion matrix results. In addition, this study conducted an assessment using four datasets of different sizes: 300, 600, 900, and 1266 images. The results indicate that increasing the size of the training dataset enables the model to find a better balance between precision and recall, that is, a higher F1 score, while also effectively improving the model’s processing speed. Therefore, the choice of an appropriate IoU ratio should be based on specific application needs to optimize model performance. This study provides theoretical support for small-object corrosion detection tasks, advances the development of loss function design, and enhances the detection accuracy and reliability of YOLOv5 in practical applications.
Advances in Photothermal and Photodynamic Nanotheranostics for Precision Cancer Treatment
Authors: Omidian Hossein , Dey Chowdhury Sumana
Published: December 2024

Nanotheranostics, combining photothermal therapy (PTT) and photodynamic therapy (PDT), can transform precision cancer treatment by integrating diagnosis and therapy into a single platform. This review highlights recent advances in nanomaterials, drug delivery systems, and stimuli-responsive mechanisms for effective PTT and PDT. Multifunctional nanoparticles enable targeted delivery, multimodal imaging, and controlled drug release, overcoming the challenges posed by tumor microenvironments. Emerging approaches such as hybrid therapies and immune activation further enhance therapeutic efficacy. This paper discusses the limitations of nanotheranostics, including synthesis complexity and limited tissue penetration, and explores future directions toward biocompatible, scalable, and clinically translatable solutions.
The Predictive Grey Forecasting Approach for Measuring Tax Collection
Authors: Kaushik Pitresh , Brahmi Mohsen , Kakran Shubham , Kansra Pooja
Published: December 2024

Taxation serves as a vital lifeline for government revenue, directly contributing to national development and the welfare of its citizens. Ensuring the efficiency and effectiveness of the tax collection process is essential for maintaining a sustainable economic framework. This study investigates (a) trends and patterns of direct tax collection, (b) the cost of tax collection, (c) the proportion of direct tax in total tax collection, and (d) the tax-to-GDP ratio in India. By utilizing a novel grey forecasting model (GM (1,1)), this study attempted to predict the future trends of India’s direct tax collections, through which it aims to provide a concurrent and accurate future outlook on tax revenue, ensuring resources are optimally allocated for the country’s growth. Results revealed that direct tax collection has consistently increased in the past two decades, and the proportion of direct tax in total tax has also improved significantly. On the contrary, the cost of tax collection has decreased regularly, indicating the efficiency of tax collection. Forecasting shows that the collection from direct tax is expected to reach INR 30.67 trillion in 2029–30, constituting around 54.41% of the total tax, leaving behind collections from indirect tax at a total of INR 25.70 trillion. Such findings offer insights that could enhance revenue management strategies with policy decisions relevant to economists, government, and other stakeholders to understand trends and the efficiency of direct tax collection in India.
Observation Angle Effect of Near-Ground Thermal Infrared Remote Sensing on the Temperature Results of Urban Land Surface
Authors: Yuan Xu , Lv Zhi , Laakso Kati , Han Jialiang , Liu Xiao , Meng Qinglin , Xue Sihan
Published: December 2024

During the process of urbanization, a large number of impervious land surfaces are replacing the biologically active surface. Land surface temperature is a key factor reflecting the urban thermal environment and a crucial factor affecting city livability and resident comfort. Therefore, the accurate measurement of land surface temperature is of great significance. Thermal infrared remote sensing is widely applied to study the urban thermal environment due to its distinctive advantages of high sensitivity, wide coverage, high resolution, and continuous measurement. Low-altitude remote sensing, performed using thermal infrared sensors carried by unmanned aerial vehicles (UAVs), is a common method of land surface observation. However, thermal infrared sensors may experience varying degrees of sway due to wind, affecting the quality of the data. It is still uncertain as to what degree angle changes affect thermal infrared data in urban environments. To investigate this effect, a near-ground remote sensing experiment was conducted to observe three common urban land surfaces, namely, marble tiles, cement tiles and grasses, at observation angles of 15°, 30°, 45°, and 60° using a thermal infrared imager. This is accompanied by synchronous ground temperature measurements conducted by iButton digital thermometers. Our results suggest that the temperature differences between the remote sensing data of the land surface and the corresponding ground truth data increase as a function of the increasing observation angle of the three land surfaces. Furthermore, the differences are minor when the observation angle changes are not more than 15° and the changes are not the same for different land surfaces. Our findings increase the current understanding of the effects of different angles on thermal infrared remote sensing in urban land surface temperature monitoring.
Analyzing the Accuracy of Satellite-Derived DEMs Using High-Resolution Terrestrial LiDAR
Authors: Mohamed Aya Hamed , Keskes Mohamed Islam , Nita Mihai Daniel
Published: December 2024

The accurate estimation of Digital Elevation Models (DEMs) derived from satellite data is critical for numerous environmental applications. This study evaluates the accuracy and reliability of two satellite-derived elevation models, the ALOS World 3D and SRTM DEMs, specifically for their application in hydrological modeling. A comparative analysis with Terrestrial Laser Scanning (TLS) measurements assessed the agreement between these datasets. Multiple linear regression models were utilized to evaluate the relationships between the datasets and provide detailed insights into their accuracy and biases. The results indicate significant correlations between satellite DEMs and TLS measurements, with adjusted R-square values of 0.8478 for ALOS and 0.955 for the SRTM. To quantify the average difference, root mean square error (RMSE) values were calculated as 10.43 m for ALOS and 5.65 m for the SRTM. Additionally, slope and aspect analyses were performed to highlight terrain characteristics across the DEMs. Slope analysis showed a statistically significant negative correlation between SRTM and TLS slopes (R2 = 0.16, p < 4.47 × 10−10 indicating a weak relationship, while no significant correlation was observed between ALOS and TLS slopes. Aspect analysis showed significant positive correlations for both ALOS and the SRTM with TLS aspect, capturing 30.21% of the variance. These findings demonstrate the accuracy of satellite-derived elevation models in representing terrain features relative to high-resolution terrestrial data.
A Framework for Integrating an Ecological Environment Process and Ecological Security Pattern in a Prefecture-Level City in China
Authors: Zhang Tingshuang , Shi Sixue , Liu Miao , Li Chunlin , Yin Hongyan , Du Yan
Published: December 2024

Synthetical eco-environmental problems’ treatment is a new stage for certain pollutant control or ecological restoration. Traditional urban planners have focused more on social–economic development but less on eco-environmental considerations. Spatial planning is currently an essential administrative management method for regional development and eco-environmental protection in China. National and provincial spatial planning designs general strategies, and prefecture-level planning is the most important scale for spatial management. For scientific, spatial governance for eco-environmental protection, we propose a synthetic spatial analysis and planning method framework that involves atmospheric, edaphic, hydrographic, and ecological processes to identify pivotal regions for regional eco-environmental security goals. The synthetic method was conducted using advanced models including the CMAQ and SWAT models and spatial statistical methods. A Chinese prefecture-level city, Anshan City, was chosen to fulfill the method framework due to its various ecosystem types and environmental problems. A total of 67 eco-environmental management units (EMU) were divided based on atmospheric pollution patterns, hydrographic processes, edaphic heavy metal pollution, and ecological spatial analysis. Each unit was identified with ecological or environmental risk and a proposed management regulation. For considering the whole eco-environmental process, the ecological security pattern (ESP) was constructed. The results showed that 166 corridors were identified with an area of 2241.25 km2, with enhanced connectivity among 76 ecological sources (12.27% of Anshan City). By coupling two results, the optimized ecological conservation and restoration pattern was proposed, in which priority protection areas were identified. This synthetic method can provide scientific analysis and guidance to support spatial planning and ecological construction for multi-purpose ecological and environmental protection.
Exploring Bilingual Adaptation to Structural Innovations: Evidence from Canadian French
Authors: Karkaletsou Foteini , Kholodova Alina , Allen Shanley E. M.
Published: December 2024

Bilinguals have been shown to adapt to syntactic innovations (i.e., structures that deviate from the standard grammar) either by producing such structures more or by processing them faster after repeated exposure. However, research on whether they adapt by increasing their acceptability ratings for innovations is limited. We consider this to be a crucial gap in the literature, since it could provide insights into how speakers adapt their perception for innovations that they might otherwise not adapt to in their production and/or processing. On this basis, the present study investigates overall acceptability and trial-by-trial acceptability (adaptation) for different types of innovations in Canadian French with grammatical structural equivalents in English. Structure type and individual differences in language experience (dominance, proficiency, exposure, etc.) are considered as factors that influence these processes, as previous research has shown that they play a role in the acceptability of innovations in bilinguals. For this purpose, we employed a timed acceptability judgment task (TAJT), where adult bilingual speakers of French and English in Canada were asked to rate innovative sentences in French and their standard (grammatical) counterparts as fast and spontaneously as possible. Both acceptability ratings (offline measure) and response times (RTs) (online measure) across trials were measured to test whether speakers show adaptation on both levels. Results revealed that innovations were rated lower and for most structure types slower than their standard counterparts, with the different types of innovations showing differences. Crucially, adaptation on a group level was reflected only in response times and not in acceptability ratings. On an individual level, though, some participants adapted their ratings, but not consistently across all innovation types. Moreover, ratings and RTs were influenced by individual language experience, with participants with a higher contact with French (higher French Score) being faster and less accepting of innovative sentences compared to participants with a lower contact with French.
The Expression Profile of Genes Related to Carotenoid Biosynthesis in Pepper Under Abiotic Stress Reveals a Positive Correlation with Plant Tolerance
Authors: Wang Tingli , He Qiaoyun , Wang Chenyuan , Li Zhimin , Sun Shitao , Yang Xiai , Yang Xiushi , Deng Yanchun , Hou Chunsheng
Published: December 2024

In light of the increasingly adverse environmental conditions and the concomitant challenges to the survival of important crops, there is a pressing need to enhance the resilience of pepper seedlings to extreme weather. Carotenoid plays an important role in plants’ resistance to abiotic stress. Nevertheless, the relationship between carotenoid biosynthesis and sweet pepper seedlings’ resistance to different abiotic stresses remains uncertain. In this study, the carotenoid content in abiotic-stressed sweet pepper seedling roots was determined, revealing that carotenoid content was extremely significantly elevated by more than 16-fold under salt stress, followed by drought stress (8-fold), and slightly elevated by only about 1-fold under waterlogging stress. After that, serine/threonine-protein phosphatase 2A (PP2A) was found to be the suitable reference gene (RG) in sweet pepper seedling roots under different abiotic stresses by using RT-qPCR and RefFinder analysis. Subsequently, using PP2A as the RG, RT-qPCR analysis showed that the expression level of most genes associated with carotenoid biosynthesis was extremely significantly up-regulated in sweet pepper seedlings under salt and drought stress. Specifically, violoxanthin deepoxidase (VDE) was significantly up-regulated by more than 481- and 36-fold under salt and drought stress, respectively; lycopene epsilon cyclase (LCYE) was significantly up-regulated by more than 840- and 23-fold under salt and drought stress, respectively. This study contributes to a more comprehensive understanding of the carotenoid biosynthesis pathway serving as a major source of retrograde signals in pepper subjected to different abiotic stresses.
Creep Properties and Corrosion Behavior of TP347H Stainless Steel with Al in Molten Carbonate Salt
Authors: Meng Qian , Lai Lin , Rao Wan , Li An , Yu Haicun , La Peiqing
Published: December 2024

Molten carbonate salts are a promising candidate for next-generation concentrated solar power technology owing to their excellent heat storage and heat transfer properties. This represents overcoming several problems that structural materials exhibit, including severe corrosion and high-temperature creep. Alloys with an aluminum element are alternatives in this regard as they are highly resistant to corrosive environments. In this paper, the corrosion behavior in molten carbonates (Li2CO3-Na2CO3-K2CO3) and creep properties of TP347H with different aluminum contents at 650 °C were studied. The results demonstrated that the alloy corrosion rate was reduced via Al addition. The alloy with 2.5 wt.% Al exhibited the lowest corrosion rate: ~25% lower than that without Al after 1000 h of corrosion. With increasing Al content, the inner corrosion layer of the alloys transformed from a Cr-containing oxide layer to a Cr–Al-containing composite oxide layer. The addition of Al promoted the formation of a layer of continuous and dense LiFeO2 product on the alloy surface during early corrosion stages, which prevented the carbonate from coming into direct contact with the substrate. After 1000 h of corrosion, the surface of the alloy is mainly composed of LiFeO2 and LiCrO2. Compared to TP347H, the added Al element enhanced the strength and elongation of TP347H at 650 °C. The TP347H containing 2 wt.% Al exhibited the best high-temperature tensile properties. When the stress was 110 MPa, the lowest steady-state creep rate of the alloy containing 2 wt.% Al was 3.61 × 10−6, and the true stress index was 5.791. This indicates that the creep mechanism was a dislocation climb assisted by lattice diffusion.
Meshing Characteristic Analysis of CBR Reducer Considering Tooth Modification and Manufacturing Error
Authors: Sun Xiaoxiao , Qian Zhihao , Xu Yaochen , Huang Jiacai
Published: December 2024

The China Bearing Reducer (CBR) is a single-stage cycloid reducer with a compact structure, primarily used in high-precision fields such as robotic joints and Computer Numerical Control (CNC) machine tool turntables, where strict requirements for transmission accuracy are necessary. Tooth modification and manufacturing errors in the cycloid gear are two important factors affecting the transmission accuracy of CBRs. In this paper, the transmission performance of the CBR is studied using a new tooth modification method that considers manufacturing errors. Firstly, the structure of the CBR is introduced, and a new method known as Variable Isometric Sectional Profile Modification (VISPM) is proposed. Secondly, the Tooth Contact Analysis (TCA) model is constructed using the VISPM method, and a method for reconstructing the tooth profile with cycloid tooth profile error based on B-spline curve fitting is proposed. The TCA is carried out with both VISPM and tooth profile error. The influence of the modification parameters on meshing characteristics, such as contact force, contact stress, contact deformation, and transmission error, is analyzed. Thirdly, the optimization of the modification parameters is conducted using Particle Swarm Optimization (PSO) to determine the optimal VISPM and isometric and offset modification (IOM) parameter values. The results indicate that the VSIPM method is superior to the IOM method in enhancing meshing characteristics. A physical prototype of the CBR25 is manufactured using the optimized VISPM and IOM, and the transmission error is tested on an experimental platform. The test results demonstrate that the ETCA method is corrected for cycloid drive analysis.
Approximated Dynamic Programming for Production and Inventory Planning Problem in Cold Rolling Process of Steel Production
Authors: Wu Jing , Su Lijie , Wang Gongshu , Yang Yang
Published: December 2024

We study a multi-product production and inventory planning problem with uncertain demand in the cold rolling stage of steel production processes. The problem is to determine the production amount of each product in each planning period so that the sum of production, inventory holding, and backorder costs is minimized. We first formulate it into a Markov decision process (MDP) model, considering dynamic demand. Aiming at the proposed large-scale MDP model, we develop the improved Approximated Dynamic Programming (ADP) algorithms, which are composed of the reformulation and the approximation functions for the value function in MDP. Linear and two quadratic approximate functions are proposed to approximate the value function. Numerical experiments show the optimal gaps of the different approximation methods and illustrate the efficiency of the proposed ADP methods.
Macroeconomic Stabilization in Crisis: The Role of Investment Shocks and Policy Responses in South Korea During COVID-19
Authors: He Yugang , Rho Sungho
Published: December 2024

This study investigates the dual dynamics of investment shocks and policy responses in stabilizing South Korea’s macroeconomy during the COVID-19 pandemic, utilizing a Bayesian DSGE framework. The model integrates sophisticated mathematical components, including stochastic differential equations, Bayesian inference, and impulse response functions, to analyze the transmission mechanisms of investment shocks and the relative efficacy of fiscal and monetary interventions. The estimation is conducted through Markov Chain Monte Carlo simulations. Using data from the first quarter of 2020 to the first quarter of 2023, the analysis quantifies the pandemic-induced shocks’ impact on critical macroeconomic indicators, including enterprise output, household consumption, employment, and investment. The findings reveal that heightened investment costs significantly constrained economic performance, with fiscal measures, such as increased government spending and targeted stimulus packages, demonstrating superior stabilization effects compared to monetary interventions. These results emphasize the importance of well-coordinated policy responses in mitigating economic disruptions and enhancing resilience during crises. This study not only provides novel insights into the mathematical modeling of economic stabilization strategies but also offers actionable recommendations for policymakers navigating pandemic-induced challenges.
Analysis of Cracking of 7075 Aluminum Alloy High-Lock Nuts
Authors: Cheng Quanshi , Ye Lingying , Wang Shuai , Gao Qianwang , Xu Yongchun , Xu Yanwei , Chen Yajun
Published: December 2024

A 7075 aluminum alloy high-lock nut developed multiple cracks after 3 years of exposure to atmospheric conditions. To identify the root cause of the cracking, a comprehensive analysis was conducted, including chemical composition, macro- and micro-fracture analyses, microstructural analysis, mechanical performance verification, and residual stress testing. The results indicated that stress corrosion was the cause of the fractures. After assembly, the crimping part of the high-lock nuts exhibited significant residual tensile stress and stress concentration, which led to stress corrosion in the industrial atmospheric environment. A comparison of the residual tensile stress in high-lock nuts with wall thicknesses of 0.75 mm, 1.00 mm, and 1.25 mm revealed that the residual tensile stress at the crimping part decreased as the wall thickness increased. Additionally, stress corrosion testing demonstrated that high-lock nuts with a wall thickness of 1.25 mm did not undergo stress corrosion within 30 days.
A Review on Sheet Metal Forming Behavior in High-Strength Steels and the Use of Numerical Simulations
Authors: Folle Luis Fernando , Lima Tiago Nunes , Santos Matheus Passos Sarmento , Callegari Bruna , Silva Bruno Caetano dos Santos , Zamorano Luiz Gustavo Souza , Coelho Rodrigo Santiago
Published: December 2024

High-strength steels such as Dual Phase (DP), Transformation-Induced Plasticity (TRIP), and Twinning-Induced Plasticity (TWIP) steels have gained importance in automotive applications due to the potential for weight reduction and increased performance in crash tests. However, as resistance increases, there is also an increase in springback due to residual stresses after the forming process. This is mainly because of the greater elastic region of these materials and other factors associated with strain hardening, such as the Bauschinger effect, that brings theory of kinematic hardening to mathematical modeling. This means that finite element software must consider these properties so that the simulation can accurately predict the behavior. Currently, this knowledge is still not widespread since it has never been used in conventional materials. Additionally, engineers and researchers use the Forming Limit Diagram (FLD) curve in their studies. However, it does not fully represent the actual failure limit of materials, especially in high-strength materials. Based on this, the Fracture Forming Limit Diagram (FFLD) curve has emerged, which proposes to resolve these limitations. Thus, this review aims to focus on how finite element methods consider all these factors in their modeling, especially when it comes to the responses of high-strength steels.
Research on Fast Nanoindentation Technology to Analyze the Non-Homogeneity of IF Steel
Authors: Zhang Xiaodan , Zhang Chao , Li Yunling , Wu Zhaobo , Li Jikang , Ge Qilu
Published: December 2024

Fast nanoindentation technology is a new method used to generate performance maps showing the hardness and elastic modulus distribution of each position, and it has become a research focus. In this paper, nanoindentation combined with scanning electron backscatter diffraction (EBSD) is used to analyze the micro-regional properties of single-phase interstitial-free (IF) steel. Hardness, elastic modulus and the orientation of a 200 μm × 200 μm area were characterized in situ. The relationships between hardness, elastic modulus and orientation were analyzed. The experimental results showed that the hardness varied from 1.25 GPa to 2.57 GPa, while the modulus varied from 122 GPa to 227 GPa with different crystallographic orientations. The hardness value of the (111) crystal plane was particularly high, with an average hardness of about 1.84 GPa, which is due to its higher work hardening rate. This result is consistent with the EBSD kernel average misorientation (KAM) micrograph. The harder locations with greater misorientation are more difficult to deform compared to locations with small hardness regions, for example, the (001) crystal plane. However, there seems to be no obvious strong relationship between modulus and orientation. The modulus of the regions with lower hardness seems to be smaller. The results of the KAM diagram are consistent with those of hardness mapping.
Comparative Study of (Fe,Nb)MoTaTiZr High Entropy Alloys in Ringer Grifols Solution
Authors: Lopez-Rios Miguel , Brito-Garcia Santiago , Mirza-Rosca Julia , Voiculescu Ionelia
Published: December 2024

High-entropy alloys (HEAs) are a family of materials that, because of their particular characteristics and possible uses in a variety of industries, have garnered a lot of interest recently. One such promising HEA is the MoNbTaTiZr high-entropy alloy, which displays excellent corrosion resistance and biocompatibility alongside good mechanical properties. Another promising HEA that has attracted researchers for its potential applications in various fields is FeMoTaTiZr. Exchanging one of the elements may result in important variation of properties of a material. This work studies two different samples of high-entropy alloys, MoNbTaTiZr (named NbHEA) and FeMoTaTiZr (named FeHEA), both generated in a laboratory context using electric-arc remelting technology, keeping similar atomic percentage of the elements in both alloys. Optical microscopy and scanning electron microscopy techniques were used to characterize the microstructure of the alloys. Replacing Nb for Fe affects the distribution proportion of the other four elements, since Fe has a higher tendency than Nb to form part of the inter-dendrite region. An evaluation of the properties related to the corrosion process was accomplished using the polarization method along with electrochemical impedance spectroscopy (EIS), performed under a simulated biological environment. As a result, FeHEA showed a higher corrosion rate in simulated body fluid than NbHEA.
Effect of Mn on Corrosion Resistance of Low-Cr Weathering Steel
Authors: Zhang Guangbo , Zhang Huanhuan , Liu Xingyu , Xin Yuchen , Yin Shubiao , Gao Lei , Shi Zhe
Published: December 2024

As the pace of human development in the ocean accelerates, the demand for corrosion-resistant building materials in marine engineering projects is constantly increasing. The development of high-performance corrosion-resistant materials and their mechanism research has gradually become the latest hotspot in the field of metal materials. Through cyclic dry–wet testing, electrochemical techniques, morphological characterization, and compositional analysis, this study simulated the impact of varying manganese content on weathering steel corrosion resistance in chloride environments. The results indicated that, compared to low-manganese weathering steel, the average rust layer thickness of high-manganese weathering steel increased by 22.5%. Additionally, manganese was found in the rust as MnO/MnO2, acting as a catalyst to promote electron transfer, which led to a decrease in the α/γ* ratio in the high-manganese weathering steel, thereby accelerating the corrosion reaction.
Animal Trypanosomiasis: Challenges and Prospects for New Vaccination Strategies
Authors: Pereira Samille Henriques , Alves Felipe Paladino , Teixeira Santuza Maria Ribeiro
Published: December 2024

Animal trypanosomiasis, such as nagana, surra, and dourine, represent a significant challenge to animal health and economic development, especially in tropical and subtropical regions where livestock production is an essential component of a country’s economy. Despite advances in the control of human trypanosomiasis, animal diseases caused by several species of trypanosomes remain neglected. The lack of funding for the development of new treatments and vaccines contributes to sustaining the severe economic impacts these diseases have on the farming industry, especially in low-income rural areas. Recent advances in the understanding of the immune processes involved during infection have been essential for the development of new approaches towards disease control including vaccines. These new approaches must be part of integrated control programs, which must also include vector management and the awareness of good veterinary practices. Addressing the challenges posed by the control of animal trypanosomiasis requires collaborative and continuous efforts shared among scientists, governments, and the farming industry, if significant progress is to be made to mitigate the impact of these diseases. In this literature review, we discuss the main challenges for the development of vaccines for animal trypanosomiasis and the research underway, including the prospects for employing new vaccine platforms, such as an mRNA vaccine, vector-based vaccine, and CRISPR-attenuated parasite vaccine.