bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Energy‐Saving and Emission Reduction Solutions for the Bearing Heating System of Offshore Wind Turbines: A Case Study of General Electric's Offshore Wind Power Assembly Base
Authors: Liang Huanrui , Huang Xiaoa , Chen Faquan , Wu Jiayang , Deng Leying , Huang Youxin 
Published: December 2024

ABSTRACTIn the context of the global transition to renewable energy sources, the offshore wind power sector is confronted with operational inefficiencies during the thermal processing and assembly of wind turbine spindles and components. The research, centered on General Electric's offshore wind turbine assembly facility, addresses the deficiencies in the thermal management of bearing heating systems, the prevalence of rework due to substandard thermal treatments, and the inefficiencies in energy utilization. The paper proposes a targeted strategy comprising three key interventions: (1) The synchronization of bearing heating procedures with the off‐peak electricity tariff regime to mitigate peak demand and associated energy expenditures and carbon footprints. (2) The deployment of a thermoelectric generator (TEG) system to harness and convert waste heat into electrical energy, with meticulous modeling of its thermal dynamics. (3) The engineering of a thermally insulated housing for bearings to curtail thermal losses. The projected outcomes of these interventions are a reduction in electricity costs by 127.83 yuan, a decrease in carbon emissions by 90.41 kg, and a substantial reduction in heat loss. The findings of this research underscore the efficacy of thermal process optimization, waste heat recuperation, and thermal insulation in enhancing the energy efficiency of bearing heating systems, thereby contributing to the broader objectives of energy conservation and emission reduction in the renewable energy sector, which is imperative in the contemporary era of climate change mitigation and sustainable development.
Fenugreek Sprouts Around the World: Exploring Therapeutic and Nutritional Benefits
Authors: Çoban Furkan 
Published: December 2024

ABSTRACTThis study investigates the therapeutic and nutritional potential of fenugreek sprouts from 30 diverse genotypes sourced from various regions. The aim was to characterize and compare their therapeutic attributes, including antioxidant capacity, antidiabetic, and anti‐cholinesterase activities, along with their nutritional compositions, particularly minerals, and protein content. Results revealed significant variations among the genotypes in terms of their therapeutic properties. China genotypes exhibited notable α‐amylase inhibition 64.57%, suggesting potential antidiabetic properties, while South Sudan genotypes demonstrated significant acetylcholinesterase (14.44%) and butyrylcholinesterase inhibitions, indicating possible cognitive health benefits. The Morocco and Konya/Türkiye genotypes exhibited noteworthy antioxidant effects, with showing DPPH• scavenging activities of 7.79% and 7.23%, and ABTS•+ activities of 27.87% and 27.31%, respectively. Mineral analysis revealed considerable differences across genotypes. Israel genotypes had the highest iron content (43.18 mg/100 g), Sivas/Türkiye genotype had the highest potassium levels (2259.87 mg/100 g), and Kayseri/Türkiye genotype had the highest sodium content (616.91 mg/100 g). Ukraine genotypes contained the most magnesium (266.61 mg/100 g), while Israel genotypes also had the highest zinc content (54.44 mg/100 g). The protein content of the fenugreek sprouts varied significantly, with Corum/Türkiye showing the highest protein content at 5.75/100 g. Principal component analysis (PCA) highlighted the relationships among the mineral nutrients and protein content, revealing distinct groupings of genotypes based on their mineral compositions. Correlation analysis further elucidated the associations between various minerals and protein content. In conclusion, this study underscores the potential therapeutic and nutritional significance of fenugreek sprouts.
Legacies of Past Land Use: Mapping Anthropogenic Landforms in Forest Areas of Eastern Bavaria, Germany
Authors: Schneider Anna , Raab Thomas , Raab Alexandra , Bonhage Alexander 
Published: December 2024

ABSTRACTReconstructing (pre‐)historic land use distribution is essential for understanding past human societies and their impacts on the environment. Various land use forms result in distinct alterations of surface morphology, which are often well preserved but rarely described within forest areas. The interpretation of LiDAR Digital Elevation Models (DEMs) can greatly enhance our insight into the geoarchaeological records of woodlands. This study examines the legacies of past land use in forested areas of Upper Palatinate, Germany, utilizing LiDAR DEMs to map anthropogenic relief features. We comprehensively mapped land use legacy landforms (LULLs) that occur with considerable frequency in the study area, that is, former agricultural field systems, road remnants, abandoned ponds, relict charcoal hearths, mining legacies, and indicators of anthropogenically induced soil erosion. Results reveal that 17% of the forested area is affected by LULLs, with the largest areas covered by former field systems, roads, and ponds. Characteristic LULL associations reflect past agricultural and charcoal production landscapes. While erosion indicators often coincide with field systems and roads, natural factors mainly influence their distribution. Comparison with historical maps suggests pre‐19th‐century abandonment of most LULLs and good preservation of anthropogenic relief modifications. Our results underscore the enduring impact of past land use on present woodland ecosystems and emphasize the importance of considering forest areas in the analysis of past human–landscape interactions.
Leveraging anatomical constraints with uncertainty for pneumothorax segmentation
Authors: Yuan Han , Hong Chuan , Tran Nguyen Tuan Anh , Xu Xinxing , Liu Nan 
Published: December 2024

AbstractBackgroundPneumothorax is a medical emergency caused by the abnormal accumulation of air in the pleural space—the potential space between the lungs and chest wall. On 2D chest radiographs, pneumothorax occurs within the thoracic cavity and outside of the mediastinum, and we refer to this area as “lung + space.” While deep learning (DL) has increasingly been utilized to segment pneumothorax lesions in chest radiographs, many existing DL models employ an end‐to‐end approach. These models directly map chest radiographs to clinician‐annotated lesion areas, often neglecting the vital domain knowledge that pneumothorax is inherently location‐sensitive.MethodsWe propose a novel approach that incorporates the lung + space as a constraint during DL model training for pneumothorax segmentation on 2D chest radiographs. To circumvent the need for additional annotations and to prevent potential label leakage on the target task, our method utilizes external datasets and an auxiliary task of lung segmentation. This approach generates a specific constraint of lung + space for each chest radiograph. Furthermore, we have incorporated a discriminator to eliminate unreliable constraints caused by the domain shift between the auxiliary and target datasets.ResultsOur results demonstrated considerable improvements, with average performance gains of 4.6%, 3.6%, and 3.3% regarding intersection over union, dice similarity coefficient, and Hausdorff distance. These results were consistent across six baseline models built on three architectures (U‐Net, LinkNet, or PSPNet) and two backbones (VGG‐11 or MobileOne‐S0). We further conducted an ablation study to evaluate the contribution of each component in the proposed method and undertook several robustness studies on hyper‐parameter selection to validate the stability of our method.ConclusionsThe integration of domain knowledge in DL models for medical applications has often been underemphasized. Our research underscores the significance of incorporating medical domain knowledge about the location‐specific nature of pneumothorax to enhance DL‐based lesion segmentation and further bolster clinicians' trust in DL tools. Beyond pneumothorax, our approach is promising for other thoracic conditions that possess location‐relevant characteristics.
A novel ensemble ARIMA‐LSTM approach for evaluating COVID‐19 cases and future outbreak preparedness
Authors: Jain Somit , Agrawal Shobhit , Mohapatra Eshaan , Srinivasan Kathiravan 
Published: December 2024

AbstractBackgroundThe global impact of the highly contagious COVID‐19 virus has created unprecedented challenges, significantly impacting public health and economies worldwide. This research article conducts a time series analysis of COVID‐19 data across various countries, including India, Brazil, Russia, and the United States, with a particular emphasis on total confirmed cases.MethodsThe proposed approach combines auto‐regressive integrated moving average (ARIMA)'s ability to capture linear trends and seasonality with long short‐term memory (LSTM) networks, which are designed to learn complex nonlinear dependencies in the data. This hybrid approach surpasses both individual models and existing ARIMA‐artificial neural network (ANN) hybrids, which often struggle with highly nonlinear time series like COVID‐19 data. By integrating ARIMA and LSTM, the model aims to achieve superior forecasting accuracy compared to baseline models, including ARIMA, Gated Recurrent Unit (GRU), LSTM, and Prophet.ResultsThe hybrid ARIMA‐LSTM model outperformed the benchmark models, achieving a mean absolute percentage error (MAPE) score of 2.4%. Among the benchmark models, GRU performed the best with a MAPE score of 2.9%, followed by LSTM with a score of 3.6%.ConclusionsThe proposed ARIMA‐LSTM hybrid model outperforms ARIMA, GRU, LSTM, Prophet, and the ARIMA‐ANN hybrid model when evaluating using metrics like MAPE, symmetric mean absolute percentage error, and median absolute percentage error across all countries analyzed. These findings have the potential to significantly improve preparedness and response efforts by public health authorities, allowing for more efficient resource allocation and targeted interventions.
Expression profile of Bcl‐2 family proteins in newly diagnosed multiple myeloma patients
Authors: De Ramón Cristina , Rojas Elizabeta A. , Misiewicz‐Krzeminska Irena , Cardona‐Benavides Ignacio J. , Cuadrado Myriam , Isidro Isabel , Calasanz María‐José , Fernandez Manuela , García‐Sanz Ramón , Puig Noemi , Cedena M. Teresa , Paiva Bruno , Rosiñol Laura , Martínez‐López Joaquín , Bladé Joan , Lahuerta Juan J. , San Miguel Jesús F. , Mateos María V. , Corchete Luis A. , Gutiérrez Norma C. ,   GEM/PETHEMA cooperative study group
Published: December 2024

AbstractAntiapoptotic Bcl‐2 family proteins are involved in myeloma cell survival. To date, their expression in multiple myeloma (MM) patients has mostly been analyzed at the RNA level. In the present study, we quantified for the first time the protein expression of the Bcl2‐family members using a capillary electrophoresis immunoassay in 120 newly diagnosed MM patients, aged ≤65 years, treated in the context of the PETHEMA/GEM2012 study. We found that the pattern of expression of Bcl‐2 family proteins was highly heterogeneous among patients. Although cases with t(11;14) had significantly higher levels of Bcl‐2/Bcl‐xL and Bcl‐2+Bim+Bax/Bcl‐xL ratios than those without t(11;14), the presence of this translocation was not synonymous with such high levels of expression. Conversely, some patients with other genetic alterations also showed higher levels of those ratios. Survival analysis revealed that the high expression of Bad and Puma proteins was associated with significantly longer overall survival (p = 0.001 and p < 0.001, respectively). Bcl‐2 protein ratios predicting sensitivity to venetoclax in vitro were also able to distinguish patients with shorter time to progression after triplet‐based induction therapy and ASCT. This is the first study to assess the expression of the most important Bcl‐2 family proteins by a quantitative method in a large set of MM patients according to their cytogenetic abnormalities. We shed light on the impact of these proteins on MM prognosis, which could help to consider the levels of proteins involved in apoptosis in the development of new therapeutic strategies.
Features of the Velocity Distribution and Secondary Flow in a Compound Channel With Vegetation
Authors: Zhu Zhi‐Peng , Dong Fei , Wang Wei‐Jie , Zhao Han‐Qing , Li Jin‐Jin , Meng Qing‐Feng , Li Da‐Cheng 
Published: December 2024

ABSTRACTAquatic vegetation is an important component of natural river ecosystem, usually growing in riverine, marsh, and coastal areas, interacting with water flow to form complex flow structure, which has an important impact on bank slope stability and flood discharge capacity of river channels. Four sets of indoor flume vegetation‐flow experiments were conducted using a typical beach trough structure in the lower section of the Yangtze River. The compound channel was divided into the main channel, side slope and side beach zones, and simulated vegetation such as reeds, sedges and dwarf grass were used. The emphasis was on the hydrodynamic properties under semi‐covered emergent rigid vegetation and semi‐covered non‐submerged rigid vegetation. In this study, the Shiono and Knight equation (SKM model) was used to elucidate the distribution characteristics of ‘the depth‐averaged velocity Ud’ and ‘equivalent diameter D’ of vegetation in water gradient, and the Taylor method was used to demonstrate that the proposed ‘equivalent diameter D’ of vegetation has a certain level of accuracy within a reasonable threshold range. In addition, a new secondary flow model was proposed using a genetic algorithm that considers many hydraulic and vegetation parameters. Further, a new secondary flow model was proposed using a genetic algorithm that considers many hydraulic and vegetation parameters. Finally, ‘the depth‐averaged velocity Ud’ of the compound channel was accurately predicted by combining the experimental data with the new SKM model. In this study, we investigated the water‐blocking ability of gradient vegetation in river water. A method in which the secondary flow law and formula are difficult to determine was solved, which could provide technical support for the design of complex vegetated rivers and the evaluation of the flood discharge capacity of rivers.
Developing a Lateral Terrestrial Water Flow Scheme to Improve the Representation of Land Surface Hydrological Processes in the Noah‐MP of WRF‐Hydro
Authors: Wang Jie , Miao Shiguang , Kumar Pokharel Ashok , Dou Jingjing , Ma Bin , Meng Chunlei , Li Yuhuan 
Published: December 2024

ABSTRACTLateral terrestrial water flow in the Weather Research and Forecasting (WRF) Model and its hydrologically enhanced version, WRF‐Hydro, is calculated on a routing grid based on infiltration excess in Land Surface Model (LSM) grid disaggregates to the routing grids. However, this design neglects the lateral terrestrial water flow within LSM grids and does not resolve water lateral transport in LSM. In this study, we develop a lateral terrestrial water flow scheme in the Noah with multiparameterization (Noah‐MP) of WRF‐Hydro grids to address this knowledge gap and evaluate its influence on land surface hydrological processes. Our results indicate that lateral terrestrial water flow leads to 62.3% of grid surface water outflow, resulting in a decrease in accumulated water depth by 123.88 mm. In urban areas, the accumulated water depth further reduces by 21.11 mm when considering the pipe discharge scheme. Compared to the default WRF‐Hydro simulation, the lateral terrestrial water flow combined with pipe discharge can effectively advance the calibrated WRF‐Hydro modelling capability and reproduce the water depth reasonably compared to the observation in urban areas. Further, our analysis indicates that the decreasing lateral terrestrial water flow in LSM primarily reduces overland flow and increases streamflow in routing grids, mainly through redistributing water from the steep slopes towards the lower elevations and ultimately converting it to streamflow in the channel network.
Prevalence and risk factors of maternal dissatisfaction after vaginal delivery: A multicenter prospective study
Authors: Tartaglia Marie , Froeliger Alizée , Delva Fleur , Madar Hugo , Bouchghoul Hanane , Deneux‐Tharaux Catherine , Sentilhes Loïc ,   the TRanexamic Acid for Preventing postpartum hemorrhage after vaginal delivery (TRAAP) study group
Published: December 2024

AbstractObjectiveTo evaluate the prevalence and risk factors of maternal dissatisfaction 2 days after a singleton vaginal delivery at or near term.MethodsWe conducted a planned ancillary cohort study of the TRanexamic Acid for Preventing Postpartum Hemorrhage After Vaginal Delivery (TRAAP) randomized controlled trial. Maternal dissatisfaction, related to the birth and to the subsequent hospital stay, was assessed 2 days postpartum by two self‐administered questions: “Are you satisfied with the care you received during your child's birth?” and “Are you satisfied with the care you have received during your hospital stay?”. Satisfaction was defined by answers of “extremely satisfied” or “very satisfied,” and dissatisfaction by the responses “moderately satisfied,” “not very satisfied,” or “not at all satisfied”. Their association with maternal dissatisfaction was analyzed by random‐effects logistic regression.ResultsThe prevalence of maternal dissatisfaction with the birth was 2.9%, and with the hospital stay 9.5%. Characteristics associated with a higher risk of maternal dissatisfaction with the birth were labor exceeding 6 h, bad memories of the birth and, only for women without complicated deliveries, manual examination of the uterine cavity. The only characteristic associated with a higher risk of dissatisfaction with the hospital stay was non‐French nationality. None of the postpartum hemorrhage, third‐ or fourth‐degree perineal lacerations, operative vaginal delivery, episiotomy and uterine massage were associated with a higher risk of maternal dissatisfaction.ConclusionMaternal dissatisfaction was low after singleton vaginal deliveries at or near term. Strategies aiming to avoid labor longer than 6 h and manual examination of the uterine cavity may decrease maternal dissatisfaction after delivery.
Multiomics analysis reveals signatures of selection and loci associated with complex traits in pigs
Authors: Liu Lei , Yi Guoqiang , Yao Yilong , Liu Yuwen , Li Jiang , Yang Yalan , Liu Mei , Fang Lingzhao , Mo Delin , Zhang Longchao , Liu Yonggang , Niu Yongchao , Wang Liyuan , Qu Xiaolu , Pan Zhangyuan , Wang Lei , Chen Muya , Fan Xinhao , Chen Yun , Zhang Yongsheng , Li Xingzheng , Wang Zhen , Tang Yijie , Huang Hetian , Yuan Pengxiang , Liao Yuying , Li Xinjian , Yin Zongjun , Liu Di , Zhang Dongjie , Zhou Quanyong , Wu Wangjun , Jiang Jicai , Gao Yahui , Liu George E. , Wang Lixian , Chen Yaosheng , Li Kui , Groenen Martien A. M. , Tang Zhonglin 
Published: December 2024

AbstractThe genetic basis of complex traits and phenotypic differentiation remains unclear in pigs. Using nine genomes—seven of which were newly generated, high‐quality de novo assembled genomes—and 1081 resequencing genomes, we built a pan‐genome and identified 134.24 Mb nonredundant nonreference sequences, 1099 novel protein‐coding genes, 187,927 structural variations (SVs) and 30,143,962 single‐nucleotide polymorphisms (SNPs). Analysis of selective domestication revealed BRCA1 associated with enhanced adipocyte growth and fat deposition, and ABCA3 linked to an alleviated immune response and reduced lung injury. Integrating 162 transcriptomes and 162 methylomes of skeletal muscle across 27 developmental stages revealed the regulatory mechanism of phenotypic differentiation between Eastern and Western breeds. Artificial selection reshaped local DNA methylation status and imparted regulatory effects on the progression patterns of heterochronic genes such as GHSR and BDH1, particularly during embryonic development. Altogether, our work provides valuable resources for understanding molecular mechanisms behind phenotypic variations and enhancing the genetic improvement programs in pigs.
Mobile bearing total knee arthroplasty does not lead to better joint awareness compared to fixed bearing design: A systematic review and meta‐analysis
Authors: Poursalehian Mohammad , Pakbaz Yeganeh , Mortazavi Seyed Mohammad Javad 
Published: December 2024

AbstractPurposeMobile‐bearing total knee arthroplasty (MB‐TKA) and fixed‐bearing (FB) TKA are both widely used, with MB‐TKA theoretically offering better functional outcomes due to its natural kinematics. This systematic review and meta‐analysis aimed to compare joint awareness between MB‐TKA and FB‐TKA, as measured by Forgotten Joint Score‐12 (FJS‐12), to provide insights into patient‐perceived outcomes.MethodsA comprehensive literature search was conducted across major databases following PRISMA guidelines, without date or language restrictions. Studies focusing on TKA with MB or FB as the intervention and control groups, respectively, and reporting on FJS‐12 were included. The selection process involved two independent reviewers. Data extraction was carried out using a structured checklist and assessed for quality using the Newcastle–Ottawa Scale (NOS). The meta‐analysis employed Hedge's g method to compare FJS‐12 and assessed publication bias using Egger's test and funnel plot analyses.ResultsSix studies, including two randomized clinical trials and four cohort studies with 731 participants and mean follow‐up of 5.4 years, met the inclusion criteria. The meta‐analysis revealed no significant difference in FJS‐12 between MB and FB TKA (pooled difference = 0.132, 95% confidence interval: −0.103 to 0.367, p = 0.271), with moderate heterogeneity observed (I2 = 53.5%). Publication bias assessment indicated no significant bias. Meta‐regression did not identify factors contributing to heterogeneity.ConclusionMB‐TKA does not provide superior patient‐perceived outcomes in terms of joint awareness compared to FB‐TKA. This suggests that the clinical advantage of MB‐TKA in terms of joint awareness is likely negligible. Therefore, the choice between MB and FB TKA should be based on other considerations, such as surgeon preference, implant cost and individual patient needs.Level of EvidenceLevel III.
Taxanes and Breast Cancer‐Related Lymphedema
Authors: Najafali Daniel , Siotos Charalampos , Kokosis George 
Published: December 2024

Summary

No clear evidence‐based consensus has been reached on taxanes and the development of lymphedema.
The cumulative effect of longer duration chemotherapy needs to be accounted for in analyses.
Larger and more balanced study designs are needed to capture the risks of lymphedema from taxanes.