bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-omics reveals the role of ENO1 in bladder cancer and constructs an epithelial-related prognostic model to predict prognosis and efficacy
Authors: Su Zhixiong , You Lijie , He Yufang , Chen Jingbo , Zhang Guifeng , Liu Zhenhua 
Published: January 2024

Abstractα-Enolase (ENO1) is a crucial molecular target for tumor therapy and has emerged as a research hotspot in recent decades. Here, we aimed to explore the role of ENO1 in bladder cancer (BLCA) and then construct a signature to predict the prognosis and treatment response of BLCA. Firstly, we found ENO1 was highly expressed in BLCA tissues, as verified by IHC, and was associated with poor prognosis. The analysis of the tumor immune microenvironment by bulk RNA-seq and scRNA-seq showed that ENO1 was associated with CD8+ T-cell exhaustion. Additionally, the results in vitro showed that ENO1 could promote the proliferation and invasion of BLCA cells. Then, the analysis of epithelial cells (ECs) revealed that ENO1 might promote BLCA progression by metabolism, the cell cycle and some carcinogenic pathways. A total of 249 hub genes were obtained from differentially expressed genes between ENO1-related ECs, and we used LASSO analysis to construct a novel signature that not only accurately predicted the prognosis of BLCA patients but also predicted the response to treatment for BLCA. Finally, we constructed a nomogram to better guide clinical application. In conclusion, through multi-omics analysis, we found that ENO1 was overexpressed in bladder cancer and associated with poor prognosis, CD8+ T-cell exhaustion and epithelial heterogeneity. Moreover, the prognosis and treatment of patients can be well predicted by constructing an epithelial-related prognostic signature.
Glomerular spatial transcriptomics of IgA nephropathy according to the presence of mesangial proliferation
Authors: Park Sehoon , Kang Minji , Kim Yong Chul , Kim Dong Ki , Oh Kook-Hwan , Joo Kwon Wook , Kim Yon Su , Kim Hyun Je , Moon Kyung Chul , Lee Hajeong 
Published: January 2024

AbstractMesangial proliferation is a diagnostic feature and a prognostic predictor of immunoglobulin A nephropathy (IgAN). We aimed to investigate the gene expression profiles of IgAN glomerulus according to the presence of mesangial proliferation. We performed spatial-specific transcriptomic profiling on kidney biopsy tissues using the GeoMx Digital Spatial Profiler. Twelve cases with three glomeruli for each case were profiled using direct pathologic classification (4 M1-IgAN, 4 M0-IgAN, and 4 donor controls). The results of enriched glom-specific genes demonstrated that M1-IgAN could be distinguished from controls (77 upregulated and 55 downregulated DEGs), while some DEGs were identified between M1-IgAN and M0-IgAN cases (24 upregulated and 8 downregulated DEGs) or between M0 and controls (1 upregulated and 16 downregulated DEGs). TCF21, an early podocyte damage marker, was the only differentially expressed gene (DEG) consistently upregulated in both M1-IgAN and M0-IgAN patients, whereas ATF3, EGR1, DUSP1, FOS, JUNB, KLF2, NR4A1, RHOB, and ZFP36 were consistently downregulated in IgAN cases. Glomeruli from M1-IgAN cases were significantly enriched for cell surface/adhesion molecules and gene expressions associated with vascular development or the extracellular matrix. Spatial transcriptomic analysis may contribute to dissecting structure-specific pathophysiology and molecular changes in IgAN.
Recent insights into catechins-rich Assam tea extract for photoaging and senescent ageing
Authors: Kanlayavattanakul Mayuree , Khongkow Mattaka , Klinngam Wannita , Chaikul Puxvadee , Lourith Nattaya , Chueamchaitrakun Piyaporn 
Published: January 2024

AbstractTea (Camellia spp.) is an important medicinal herb. C. sinensis var. sinensis is the most studied tea variety due to its more preferred flavor than C. sinensis var. assamica (Assam tea), the less economic importance with more bitter variety. A bitter taste highlights its potential as a candidate source for tea catechins, the health beneficial actives applicable for ageing treatment. Nonetheless, indicative data for tea on UV-induced and senescent ageing remain unclarified. Assam tea extract (ATE) was prepared and standardized in terms of TPC, TFC and TTC. EGCG was HPLC quantified as the prime ATE catechin. In vitro antioxidant activity of ATE was exhibited with ABTS, DPPH and FRAP assays. ATE’s cellular antioxidant activity was indicated in HDFs at a stronger degree than ascorbic acid. The photoaging protection of ATE was evidenced in a coculture of HaCaT cells and HDFs. ATE markedly suppressed UV-induced IL-6, IL-8, MMP-1 and MMP-9 expressions. The proficiency of ATE targeting on senescent ageing was demonstrated in an ex vivo human skin model, where IL-6 and MMP-1 expressions were suppressed, whilst hyaluronic acid and collagen syntheses were promoted. ATE was chemically stabled as indicated by the catechin contents and color parameters following 6 months storage under conditions recommended for topical product. ATE enriched in catechins warrants its applicability as a new generation of photoaging protectant agent promising for the prevention and treatment for senescent ageing. The findings indicate the proficiency of ATE for innovative anti-ageing agent.
Usefulness of a questionnaire for assessing the relationship between eating behavior and steatotic liver disease among Japanese male young adults
Authors: Miwa Takao , Tajirika Satoko , Hanai Tatsunori , Imamura Nanako , Adachi Miho , Horita Ryo , Fukao Taku , Shimizu Masahito , Yamamoto Mayumi 
Published: January 2024

AbstractThis study aimed to reveal the relationship between eating behavior and nonalcoholic fatty liver disease (NAFLD)/metabolic dysfunction-associated steatotic liver disease (MASLD) in young adults and suggest a questionnaire for eating behavior assessment. We included 322 male graduate students at Gifu University. Diagnoses of NAFLD and MASLD were based on the presence of hepatic steatosis on ultrasonography. Eating behavior was assessed using the eating behavior questionnaire (EBQ) recommended by the Japan Society for the Study of Obesity. We assessed the eating behaviors associated with NAFLD and MASLD using logistic regression, decision tree, and random forest analyses. The median age of the participants was 22 years, and 16% and 11% had NAFLD and MASLD, respectively. The EBQ total score was significantly higher in participants with MASLD than in those without MASLD (102 vs. 90 points, P = 0.006) and in those with NAFLD than in those without NAFLD (97 vs. 90 points, P = 0.007). Among eating behavior categories, the decision tree and random forest analyses revealed that “perception of constitution and weight” was the strongest contributor for NAFLD/MASLD. Our study revealed that eating behavior assessed with the EBQ is robustly associated with NAFLD and MASLD in young male adults.
The association between iris color and refractive errors in children
Authors: Ebrahimi Mehrdad , Gharravi Anneh Mohammad , Aliyari Roqayeh , Emamian Mohammad Hassan , Khabazkhoob Mehdi , Hashemi Hassan , Fotouhi Akbar 
Published: January 2024

AbstractThis study aimed to evaluate the association between iris color and refractive errors in children aged 6–12 years. This cross-sectional study was based on data obtained from the first phase of the Shahroud Schoolchildren Eye Cohort Study. The target population was 6 to12 year-old students living in urban and rural areas. Iris colors were classified by comparing eye colors with close-up images of iris colors. Myopia was defined as a spherical equivalent (SE) ≤ − 0.5 diopter and hyperopia was defined as SE ≥ 2 diopter in cycloplegic refraction. The association of iris color with hyperopia and myopia was investigated by fitting two separate multiple logistic regression models adjusted for place of residence, age, sex, and times for outdoor activity and near work. Among the 5394 participates with the mean age of 9.7 year, the prevalence of myopia and hyperopia was 4.8% and 4.7% respectively. The number and proportion (in parentheses) of amber, light blue, light brown, dark brown, gray, green and hazel iris colors were 19(0.4%), 26(0.5%), 645(12.0%), 4517(83.7%), 4(0.1%), 59(1.1%), and 124(2.3%) respectively. Compared to dark brown, the odds ratios and 95% confidence intervals (in parentheses) of myopia were 4.8(1.2–18.7), 0.8(0.1–5.8), 1.0(0.7–1.5), 0.4(0.1–2.7) and 0.6(0.2–1.8) for amber, light blue, light brown, green and hazel iris colors in multiple logistic regression model. No significant association was observed between iris colors and hyperopia. This study shows that amber iris is significantly associated with higher odds of myopia. These children should be further monitored and examined. More studies with higher sample size in all iris colors are recommended.
Feasibility of combining spatial computing and AI for mental health support in anxiety and depression
Authors: Spiegel Brennan M. R. , Liran Omer , Clark Allistair , Samaan Jamil S. , Khalil Carine , Chernoff Robert , Reddy Kavya , Mehra Muskaan 
Published: January 2024

AbstractThe increasing need for mental health support and a shortage of therapists have led to the development of the eXtended-reality Artificial Intelligence Assistant (XAIA). This platform combines spatial computing, virtual reality (VR), and artificial intelligence (AI) to provide immersive mental health support. Utilizing GPT-4 for AI-driven therapy, XAIA engaged participants with mild-to-moderate anxiety or depression in biophilic VR environments. Speaking with an AI therapy avatar in VR was considered acceptable, helpful, and safe, with participants observed to engage genuinely with the program. However, some still favored human interaction and identified shortcomings with using a digital VR therapist. The study provides initial evidence of the acceptability and safety of AI psychotherapy via spatial computing, warranting further research on technical enhancements and clinical impact.
Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean
Authors: Athanase Marylou , Sánchez-Benítez Antonio , Goessling Helge F. , Pithan Felix , Jung Thomas 
Published: January 2024

AbstractMarine heatwaves are expected to become more frequent, intense, and longer-lasting in a warming world. However, it remains unclear whether feedback processes could amplify or dampen extreme ocean temperatures. Here we impose the observed atmospheric flow in coupled climate simulations to determine how the record-breaking 2019 Northeast Pacific marine heatwave would have unfolded in preindustrial times, and how it could unravel in a +4 °C warmer world compared to present-day conditions. We find that air-sea interactions, involving reductions in clouds and ocean mixed-layer depth and air advection from fast-warming subpolar regions, modulate warming rates within the marine heatwave. In a +4 °C warmer climate, global oceans are +1.9 °C warmer than present levels, and regional mean warming in the Northeast Pacific can reach +2.3–2.7 ± 0.25 °C. Our identified feedback processes are projected to further amplify the intensity and spatial extent of analogous Northeast Pacific summer marine heatwaves beyond those thresholds, with a warming reaching +2.9 ± 0.15 °C above present levels. Such an event-specific amplification would place even greater stress on marine ecosystems and fisheries.
Soft electronic skin for self-deployable tape-spring hinges
Authors: Yao Yao , Ning Xin 
Published: January 2024

AbstractThin-walled structures utilizing the release of stored strain energy for self-deployment have gained popularity in deployable space structures. However, the integration of traditional rigid or bulky sensors to monitor their mechanical behavior presents challenges due to large local deformations and strains involved in folding and deployment. Here we introduce a concept of structural electronic skin (e-skin) that is soft, lightweight, and designed for sensing the folding and deployment of tape-spring hinges. The e-skin demonstrates the capability to accommodate significant hinge deformation and enables multimodal sensing, including strain measurements, motion sensing, and dynamics monitoring. The research showcases a promising approach that leverages the design and manufacturing of soft electronics to fulfill the requirements of thin, lightweight, and soft functional devices for multifunctionality in deployable space structures.
Access to chiral β-amino sulfones from acrylamides and sulfur dioxide by iron catalysis
Authors: Luo Liping , Zhang Xuemei , Huang Chunxi , Lian Zhong 
Published: January 2024

This method allows for the enantioselective synthesis of β-azide sulfones via iron-catalyzed vicinal azide-sulfonylation of acrylamides. It makes the first instance of achieving asymmetric construction through iron catalysis with SO2 insertion.
An autonomous Unmanned Aerial Vehicle exploration platform with a hierarchical control method for post‐disaster infrastructures
Authors: Peng Xin , Su Gaofeng , Sengupta Raja 
Published: January 2024

AbstractCatastrophic natural disasters like earthquakes can cause infrastructure damage. Emergency response agencies need to assess damage precisely while repeating this process for infrastructures with different shapes and types. The authors aim for an autonomous Unmanned Aerial Vehicle (UAV) platform equipped with a 3D LiDAR sensor to comprehensively and accurately scan the infrastructure and map it with a predefined resolution r. During the inspection, the UAV needs to decide on the Next Best View (NBV) position to maximize the gathered information while avoiding collision at high speed. The authors propose solving this problem by implementing a hierarchical closed‐loop control system consisting of a global planner and a local planner. The global NBV planner decides the general UAV direction based on a history of measurements from the LiDAR sensor, and the local planner considers the UAV dynamics and enables the UAV to fly at high speed with the latest LiDAR measurements. The proposed system is validated through the Regional Scale Autonomous Swarm Damage Assessment simulator, which is built by the authors. Through extensive testing in three unique and highly constrained infrastructure environments, the autonomous UAV inspection system successfully explored and mapped the infrastructures, demonstrating its versatility and applicability across various shapes of infrastructure.
Fuzzy high order differentiator observer based resilient control for distributed battery energy storage systems against unbounded FDI attacks
Authors: Dai Jianfeng , Chen Wenjian , Zhou Xia 
Published: January 2024

AbstractThis paper addresses the issue of frequency recovery in distributed battery energy storage systems (BESSs) and the balancing of the state of charge (SOC) after secondary control inputs have been subjected to false data injection attacks (FDI). A fuzzy high order differentiator (FHOD) observer based distributed resilient control is introduced with the aim of achieving frequency restoration and power adaptive allocation. In order to mitigate the performance degradation caused by the chattering of traditional sliding mode observers, a high order differentiator (HOD) is employed as an observer. By introducing fuzzy control logic to optimize the coefficients of the differentiator, the coefficient of the proposed differentiator is adjusted based on the tracking error, thereby reducing the transient overshoot of the observer when the attack signal changes, which approach effectively balances the response speed and observation accuracy. The simulation outcomes demonstrate that the suggested control strategy is able to mitigate the effects caused by complex and unbounded FDI attacks on the BESSs and exhibits superior transient performance compared to traditional HOD observer in response to changes in attack signal.
OmDet: Large‐scale vision‐language multi‐dataset pre‐training with multimodal detection network
Authors: Zhao Tiancheng , Liu Peng , Lee Kyusong 
Published: January 2024

AbstractThe advancement of object detection (OD) in open‐vocabulary and open‐world scenarios is a critical challenge in computer vision. OmDet, a novel language‐aware object detection architecture and an innovative training mechanism that harnesses continual learning and multi‐dataset vision‐language pre‐training is introduced. Leveraging natural language as a universal knowledge representation, OmDet accumulates “visual vocabularies” from diverse datasets, unifying the task as a language‐conditioned detection framework. The multimodal detection network (MDN) overcomes the challenges of multi‐dataset joint training and generalizes to numerous training datasets without manual label taxonomy merging. The authors demonstrate superior performance of OmDet over strong baselines in object detection in the wild, open‐vocabulary detection, and phrase grounding, achieving state‐of‐the‐art results. Ablation studies reveal the impact of scaling the pre‐training visual vocabulary, indicating a promising direction for further expansion to larger datasets. The effectiveness of our deep fusion approach is underscored by its ability to learn jointly from multiple datasets, enhancing performance through knowledge sharing.
Dynamic investment planning of CVR implementation considering PEVs’ reactive power compensation capability
Authors: Alaei Mohammad Hosein , Latify Mohammad Amin 
Published: January 2024

AbstractConservation voltage reduction (CVR) is a strategy that tries to save energy consumption by managing consumers’ voltage. On the other hand, enhancing reactive power compensation in the power system gives rise to CVR implementation more effectively. This paper addresses how the power system planner could encourage investment to establish the above‐mentioned topics. Here, a model for encouraging industrial loads to dynamically invest in implementing the CVR strategy over the planning horizon is presented. To make CVR implementation more efficient, investment in upgrading plug‐in electric vehicles (PEVs) chargers to be utilized as reactive power compensators is also considered. Industrial loads benefit from saving in their electricity bills and incentive payments that might be paid by utilities (if necessary). The objective function of the proposed planning model is to maximize the energy‐saving of industrial loads and to minimize incentive payment by electric utilities over the planning horizon. This objective is achieved subject to that the investment plan is economically feasible. Moreover, power system operation constraints in the planning horizon based on AC power flow equations and voltage‐dependent load models are considered. The proposed planning problem is modelled as a non‐linear optimization problem that can be solved by off‐the‐shelf software, for example, GAMS. The proposed model is applied to the Ontario transmission system. The numerical results show the proposed model's effectiveness in designing an investment plan for industrial loads to implement the CVR strategy and upgrade PEVs’ chargers.
Model moisture transport in oil‐paper insulation of transformer: Theory and experiment
Authors: Zhou Junjie , Wu Zhicheng , Guo Yiran , Zhang Rui , Zhu Wenbing , Zhang Qiaogen 
Published: January 2024

AbstractThe insulation performance of oil paper insulation is significantly affected by moisture such that monitoring moisture content is important. However, it is difficult to obtain the moisture content accurately due to its dynamic change under multi physical fields. Studying the moisture transportation in oil paper insulation under multi physical fields becomes a vital method in solving the problem. A multi physical model describing moisture migration was proposed, which considered the effects of temperature on moisture in different existing states in oil‐immersed paper (OIP). The temperature distribution formed a vapour pressure gradient to drive moisture migration and affected migration speed. Then, experiments and simulations of moisture migration were performed, which showed that the experiments were in good agreement with simulation. The results revealed that the temperature gradient caused uneven moisture distribution and the increased temperature reduced OIP moisture content. The established model could fully characterise moisture migration under temperature gradient, which provided a theoretical reference for predicting the risk of partial dampness and evaluating insulation performance.
Estimation of future hydropower generation of reservoir systems used for different purposes in different regions
Authors: Kilic Murat 
Published: January 2024

AbstractIn recent years, growth in environmental awareness and increasing non‐renewable energy costs have augmented the interest in hydropower generation as a renewable energy. The volume of water stored in a reservoir system is crucial in hydropower production and has deep uncertainty. The subject of this investigation is the estimation of the amount of future hydropower generation in reservoir systems, some of which have multi‐purpose use. This investigation was carried out in Turkey at Atatürk, Keban, Karakaya and Demirköprü Dams. In the estimation of the hydropower generation for future, the decision matrices were devised and run separately for each reservoir system. In the verification of the validity of the model, the amounts of energy generated in reality in the last three years, which were not included in the modelling process, were used for the reservoirs investigated. In the verification process, when the model results and the amounts of energy produced in reality are compared, similar satisfactory results were obtained which are compatible with the properties of the regions where the reservoirs were built. It is expected that the proposed model will provide a decision support tool especially in multi‐objective planning of constrained water resources.
Surgical Treatment for Primary Lymphedema: A Systematic Review of the Literature
Authors: Gaxiola-García Miguel Angel , Escandón Joseph M. , Manrique Oscar J. , Skinner Kristin A. , Kushida-Contreras Beatriz Hatsue 
Published: January 2024

AbstractThis is a retrospective review of surgical management for primary lymphedema.Data were extracted from 55 articles from PubMed MEDLINE, Web of Science, SCOPUS, and Cochrane Central Register of Controlled Trials between the database inception and December 2022 to evaluate the outcomes of lymphaticovenous anastomosis (LVA) and vascularized lymph node transfer (VLNT), and outcomes of soft tissue extirpative procedures such as suction-assisted lipectomy (SAL) and extensive soft tissue excision.Data from 485 patients were compiled; these were treated with LVA (n = 177), VLNT (n = 82), SAL (n = 102), and excisional procedures (n = 124). Improvement of the lower extremity lymphedema index, the quality of life (QoL), and lymphedema symptoms were reported in most studies. LVA and VLNT led to symptomatic relief and improved QoL, reaching up to 90 and 61% average circumference reduction, respectively. Cellulitis reduction was reported in 25 and 40% of LVA and VLNT papers, respectively. The extirpative procedures, used mainly in patients with advanced disease, also led to clinical improvement from the volume reduction, as well as reduced incidence of cellulitis, although with poor cosmetic results; 87.5% of these reports recommended postoperative compression garments. The overall complication rates were 1% for LVA, 13% for VLNT, 11% for SAL, and 46% for extirpative procedures. Altogether, only one paper lacked some kind of improvement.Primary lymphedema is amenable to surgical treatment; the currently performed procedures have effectively improved symptoms and QoL in this population. Complication rates are related to the invasiveness of the chosen procedure.