bluuebunny/crossref_metadata_2025_split huggingface dataset:
Highly scalable multiplex serology by mass spectrometry analysis of beads
Authors: Drainas Alexandros P. , Rovira-Clavé Xavier 
Published: March 2024

Abstract
Serology testing is crucial for diagnostics and epidemiological surveillance. Traditional methods test one antigen at a time and are costly at large scale implementation. Here, we introduce a scalable, cost-effective, and multiplex serology immunoassay that uses mass cytometry to analyze polystyrene beads loaded with stable isotopes. Our approach can generate 18,840 unique barcoded beads and enables high-throughput detection of antibodies in small volumes of plasma. This scalable method allows simultaneous analysis of IgG and IgM levels across hundreds of samples, offering a significant advance to the multiplex capabilities of serology immunoassays.
Outcomes of smart glasses: Protocol for a systematic review and meta-analysis
Authors: Motahari-Nezhad Hossein , Sadeghdaghighi Aslan , Salmani Hosna 
Published: March 2024

Abstract
Smart glasses have revolutionized healthcare delivery with their hands-free functionality, voice command operation, and ability to project data onto lenses. This protocol outlines a systematic review and meta-analysis to assess the outcomes of smart glasses in healthcare. Following PRISMA-P guidelines, this review will include peer-reviewed English randomized controlled trials (RCTs) comparing smart glasses to non-smart glass interventions across diverse patient populations and settings. Exclusion criteria comprise non-RCTs, non-peer-reviewed resources, and studies where smart glasses are not the primary intervention. The search, conducted in PubMed, Scopus, and the Web of Science, without time limitations, will be systematically managed and documented, including the selection process, represented through a PRISMA flow diagram. Data extraction will cover key study characteristics and outcomes. Risk of bias will be assessed using the ROB 2 tool. Studies with comparable outcomes will be pooled for meta-analysis, employing the DerSimonian and Laird method in R software, with heterogeneity assessed via the I-squared statistic. A meta-regression analysis will explore age-related heterogeneity, and subgroup analysis will investigate bias risk levels. Publication bias will be assessed using the Trim and Fill technique and Egger and Begg tests. The outcomes' quality will be evaluated using the GRADE framework. The findings are expected to guide future research, influence health policy, and inform healthcare professionals and policymakers about integrating smart glasses into healthcare systems.
Enhancement of land subsidence prediction capabilities using machine learning and SHAP value analysis with Sentinel-1 InSAR Data
Authors: Su Heng , Xu Tingting , Xion Xiancai , Tian Aohua 
Published: March 2024

Abstract
Land subsidence has been a significant focus of geoscience studies, and researching the factors contributing to it and predicting future incidents is essential. However, current research requires a systematic and coherent strategy to identify symptoms of land sinking with scientific rigor. This study employs neural networks and SHAP values to forecast land subsidence. We utilized SHAP values as a substitute for the usual random forest (RF) technique to evaluate the attributes of land subsidence. In addition, we employed neural networks to predict the prospective areas where land subsidence may occur in Chongqing and Chengdu in the future, considering a diverse set of conceivable situations. The results indicate that using neural networks for land subsidence prediction improves the model's accuracy by 16% compared to the traditional approach. The performance is enhanced by approximately 22% after optimizing the input characteristics. The feature optimization strategy proposed in this study, which relies on SHAP values, is particularly advantageous for predicting land subsidence. Moreover, the determinants of land sinking, ascertained by data analysis considering intricate topography, correspond with the conclusions of previous research. Utilizing this feature optimization method can improve the selection of input variables for the land subsidence prediction model, increasing accuracy and providing a solid theoretical foundation for preventing urban land subsidence.
Opposing Roles of Akt isoforms in intestinal epithelial integrity, inflammation and cell renewal: therapeutic implications or Inflammatory Bowel Disease.
Authors: Prieto Teresa García , Barbachano Antonio , Cuesta Natalia , Sánchez María Dolores , Arranz Alicia , Fresno Manuel 
Published: March 2024

Abstract
Background
Akt1 and Akt2 genetic deficiency in mice have a role in inflammatory bowel disease development, but the mechanism of action is not yet fully understood.
Methods
Akt (Protein Kinase B) isoform-specific inhibitors were assayed in mouse colon organoids and in a mouse model of colitis induced by dextran sulfate sodium. Mice were monitored in real time for clinical signs including colonoscopy. Inflammation and colon structure were analyzed using immunohistochemistry and PCR. Permeability was assessed through transepithelial electrical resistance assays, and the expression of tight junction protein and βCatenin was analyzed using western blot and immunofluorescence in various epithelial cell lines with specific overexpression or inhibition of Akt isoforms.
Results
In the mouse model of IBD (Inflammatory Bowel Disease) induced by dextran sulfate sodium, the inhibition of Akt2 strongly ameliorates disease with animals exhibiting healthy-like crypts, tight colon epithelial cells expressing tight junction proteins, and presenting an anti-inflammatory M2 macrophage phenotype. Conversely, treatment with Akt1 inhibitors exacerbated histological damage, with disorganized tight junction proteins, reduced Lgr5+ expression, and promoted a more pro-inflammatory environment, further favoring disease development. Akt1 was expressed in healthy colon whereas Akt2 expression was associated with diseased epithelia. Mouse intestinal organoids treated ex vivo with Akt1 inhibitors exhibited disassembled and disorganized structures that mimic the histological features of IBD. Notably, overexpression of Akt1 or chemical inhibition of Akt2 on intestinal epithelial cells, had similar effects increasing the permeability of the epithelial barrier and affecting the expression and/or intracellular localization of tight junction proteins. In contrast, inhibition of Akt1 or overexpression of Akt2 showed opposite results. Overexpression of Akt1 or inhibition of Akt2 also promoted activation of βCatenin and Lgr5.
Conclusions
The results suggest that a balance between Akt1 and Akt2 regulates the functionality of the intestinal epithelial barrier, cell renewal and inflammation which affects the development of the disease. Thus, Akt2 inhibition can be considered as a new therapy for inflammatory bowel disease.
Efficacy of First-line Therapy With Anti-EGFR Versus Anti-VEGF Therapy for WT RAS Metastatic Colorectal Cancer: Real-world Experience from a Single Institute
Authors: Chiang Shih-Wei , Huang Yi-Lin , Chiang Feng-Fan , Chen Ming-Cheng 
Published: March 2024

Abstract

Background/Aim:
Top prospective clinical trials comparing anti-epidermal growth factor receptor (EGFR) therapy and anti-vascular endothelial growth factor (VEGF) therapy plus chemotherapy for wild-type Ras proto-oncogene, GTPase (WT RAS) metastatic colorectal cancer (mCRC) have yielded different outcomes, and real-world data are lacking. This study established real-world experiences and identified challenges in treating patients with mCRC.
Patients and Methods: This retrospective study identified first-line regimens for patients with mCRC on anti-EGFR or anti-VEGF therapy plus chemotherapy. The effects on overall survival (OS) were estimated; secondary endpoints were progression-free survival (PFS). OS in the two groups was compared on the basis of sex, age, primary tumor site, oxaliplatin-based chemotherapy, and number of organs with metastases through Cox multivariate regression analysis. Results: A total of 129 patients diagnosed with WT RAS mCRC from June 1, 2018, to December 31, 2021, were included. The median OS was 33.3 months for the anti-EGFR group (n = 78) and 26.1 months for the anti-VEGF group (n = 51; 95% confidence interval = 1.008–2.550; p = 0.044). PFS was 17.6 and 12 months, respectively (95% confidence interval = 0.9-1.963; p = 0.15). Multivariate Cox regression models revealed good OS for patients with WT RAS and left-sided primary tumor. The liver-only metastasis conversion rate after systemic chemotherapy was higher in the anti-EGFR group.
Conclusion: High survival rates can be achieved when anti-EGFR is used in patients with WT RAS mCRC. Surgery still plays an important role in patients with mCRC and on systemic treatments.
Proposal for a UAV-Integrated Manipulator-Based System for Capturing Animals with Anesthesia: Simulation and Experimental-Based Validation
Authors: Cabuk Nihat 
Published: March 2024

Abstract

In this study, a model was proposed for performing remote anesthesia on animals using a quadrotor unmanned aerial vehicle (UAV). The proposed model integrates a manipulator into the UAV, and a mechanism system for throwing an anesthesia needle was mounted on this manipulator. A solid model of the entire proposed system was created, and a mathematical model of the system was developed. The validity of the proposed model was verified by examining the system parameters through simulation studies based on this mathematical model. Two different scenarios were constructed in the simulations. In the first scenario, the system locked on the target for a fixed position, while the second scenario was on a target that is in motion in all three dimensions. In both simulations, the UAV flew autonomously along a predetermined trajectory. The results obtained were presented graphically. In addition, the system for which a solid model was created was produced and preliminary tests were carried out in the outdoor environment. It has been shown that this proposed system can be used in a real environment.
Contribution of alcohol use and smoking to the global burden of atrial fibrillation from 1990 to 2019 and projections to 2044
Authors: Wei¹ Yinze , Wang² Zhen , Chen² Miao , Ma Liang 
Published: March 2024

Abstract

Background The prevalence of atrial fibrillation has quadrupled in the last few decades. With socio-demographic issues such as ageing becoming more prominent, the soaring healthcare costs associated with AF treatment suggests that we are facing a major public health issue. In 2019, with 4.7 million cases of AF/heart failure and more than 300,000 related deaths, China led the world in the number of incident cases, cases of DALYs, and deaths are the highest in the world.Methods Based on the Socio-Demographic Index (SDI), 204 countries and territories can be categorised into five regions, including low, medium, intermediate, high and high. Considering geological consistency, these countries and areas can be divided into 21 regions.Result In 2019, there were more than 20,000 (95% IU, 0.17–0.29) AF deaths due to alcohol consumption, accounting for 30% of all AF deaths. The corresponding age-standardised death rate (ASDR) declined by 0.126% per year(95% UI, -0.193 to -0.059) from 1990 to 2019 (Table 1). In the same year, there were 730,000 (95% UI, 5.1 to 10.1) DALYs for AF due to alcohol consumption globally.Conclusions It is fortunate that there is no clear exponential rise in AF resulting from global alcohol and tobacco use, and the primary burden is found in countries with medium to high socio-demographic indices. While there is a gradual increase in deaths and DALYs caused by alcohol and tobacco use worldwide, ASDR and age-standardised DALY rates are marginally decreasing.
Chemical ordering and magnetism in face-centered cubic CrCoNi alloy
Authors: GHOSH SHEULY , Ueltzen Katharina , George Janine , Neugebauer Jörg , Körmann Fritz 
Published: March 2024

Abstract

The impact of magnetism on chemical ordering in face-centered cubic CrCoNi medium entropy alloy is studied by a combination of ab initio simulations, machine learning potentials, and Monte Carlo simulations. Large magnetic energies are revealed for some mixed L12 /L10 type ordered configurations, which are rooted in strong nearest-neighbor magnetic exchange interactions and chemical bonding among the constituent elements. There is a delicate interplay between magnetism and stability of MoPt2 and L12 /L10 type of ordering which may explain opposing experimental and theoretical findings.
Constant Force Grinding Controller for Robots Based on Soft-Actor-Critic Optimal Parameter Finding Algorithm
Authors: Rei Chosei , Wang Qichao , Chen Linlin , Yan Xinhua , Zhang Peng , Fu Liwei , Wang Chong , Liu Xinghui 
Published: March 2024

Abstract
Since conventional PID (Proportional-Integral-Derivative) controllers hardly control the robot to stabilize for constant force grinding under changing environmental conditions, it is necessary to add a compensation term to conventional PID controllers. An optimal parameter finding algorithm based on SAC(Soft-Actor-Critic) is proposed to solve the problem that the compensation term parameters are difficult to obtain, including training state action and normalization preprocessing, reward function design, and targeted deep neural network design. The algorithm is used to find the optimal controller compensation term parameters and applied to the PID controller to complete the compensation through the inverse kinematics of the robot to achieve constant force grinding control. To verify the algorithm's feasibility, a simulation model of a grinding robot with sensible force information is established, and the simulation results show that the controller trained with the algorithm can achieve constant force grinding of the robot. Finally, the robot constant force grinding experimental system platform is built for testing, which verifies the control effect of the optimal parameter finding algorithm on the robot constant force grinding and has specific environmental adaptability.
Tau aggregation induces cell death in iPSC-derived neurons
Authors: Tanabe Hirokazu , Maeda Sumihiro , Sano Etsuko , Sakai Norio , Endoh-Yamagami Setsu , Okano Hideyuki 
Published: March 2024

Abstract
Abnormal accumulation of tau proteins in the brain is observed in neurodegenerative diseases such as Alzheimer’s disease and is closely associated with neuronal cell death. However, the mechanism by which tau causes neuronal cell death remains unclear, and the establishment of a drug discovery model for tau-related neurodegenerative diseases is expected. In this study, we investigated the establishment of a cellular model of tau aggregation and cell death in human iPSC-derived neurons to observe tau-dependent cell death. Tau overexpression in iPSC-derived neurons resulted in cell death through tau aggregation. In addition, we confirmed that compounds exhibited neuroprotective effects. These findings suggest that this cellular model has a property of the molecular pathogenesis of tau-induced neurodegeneration.
The diagnostic value of combined detection based on heparin-binding protein in septic patients
Authors: Feng Liwei , Liu Shujie , Wang Jieying , Gao Yan , Xie Fengjie , Gong Jianguo , Bi Sheng , Yao Zhipeng , Li Yue , Liu Wenhua , Guan Chunming , Zhang Ming , Wang Hongliang , Zheng Junbo 
Published: March 2024

Abstract

Background Although plenty of biomarkers have been identified, prediction and diagnosis of sepsis is still challenging in the worldwide. As a novel biomarker, heparin-binding protein (HBP) released from neutrophils may induce inflammatory responses and worsen vascular permeability, which presents the physiopathologic characteristics of sepsis and septic shock. We hypothesized that combined measurements based on HBP will enhance the diagnostic efficiency of HBP and is even better than the traditional infection markers. Methods A multi-center observational cohort study between July 2021 and June 2022 at eight tertiary hospitals in Heilongjiang was performed. Enrolled patients were classified into three groups based on infection severity, including non-sepsis, sepsis and septic-shock. Clinical and laboratory data, infection and inflammation biomarkers were collected for analysis. Results A total of 195 patients were enrolled. Of the three groups classified, patients with septic shock (n = 75, 38.5%) had significantly increased levels of HBP, WBC, Lac, CRP, PCT, IL-6, IL-8 and IL-10 compared to non-sepsis (n = 43, 22.0%) and sepsis patients (n = 77, 39.5%) at baseline, as well as 28-d mortality (p < 0.05). Serum concentrations of HBP, Lac, IL-6, IL-8 and IL-10 were remarkably decreased in septic shock patients after 3 d (p < 0.05). Compared to SOFA score and classical markers of CRP, PCT, IL-6 and IL-8, the combined indexes of IL-6·IL-8·HBP and IL-6·IL-8·HBP/ALB showed significantly better performance in the diagnosis of sepsis and septic shock (AUC 0.911 and 0.902 respectively, p < 0.001). Conclusions Combination measurements of IL-6·IL-8·HBP and IL-6·IL-8·HBP/ALB can enhance the diagnostic abilities of HBP for septic diagnosis, and provide early reliable supplements to classical biomarkers for assessment of illness severity in infection patients.
Study of defect density of copper vacancies in Chalcogenide CuSbS2, CuSbSe2, CuBiS2 and CuBiSe2 heterojunction thin film Solar Cells
Authors: Lal Shankar , Rathore Sushila , Patel Kinjal , Ray Jaymin , SHARMA SHYAM SUNDER 
Published: March 2024

Abstract

In the past decade, a new family of ternary chalcogenide absorber (TCA) materials MIMIIX2 (where, MI= Cu, Ag, Pb, MII =Sb, Bi, In and X=S, Se, Te) have studied. The Copper family of ternary chalcogenide CuSbS2 CuSbSe2 CuBiS2 and CuBiSe2 are amazing absorber materials for thin film solar cells due to their suitable band gap, high absorption coefficient, inexpensive, nontoxic, sustainable and environment friendly. In this paper, simulated copper vacancies defect density of CuSbS2 (CAS), CuSbSe2 (CASe), CuBiS2 (CBS) and CuBiSe2(CBSe) based heterojunction thin film solar cells (HJTFSC) with buffer CdS, intrinsic i-ZnO, window ZnO: Al and back contact Mo, and set the cell scheming ZnO: Al/i-ZnO/n-CdS/p- TCA/Mo. Major focus of influence of copper vacancies defect density impact on the performance of ternary chalcogenide with various parameters of solar cells i.e., short circuit current density (Jsc), open circuit voltage (Voc), form factor (FF) and efficiency (η). The cell parameter set at constant temperature 300K, thickness 2.5mm, carrier density 5x1016cm-3, front internal transmission coefficient 1, reverses voltage across L-R -1Vand illumination intensity 100 mW/cm2with AM1.5 sun light.
Hazard assessment of debris flow disaster induced by Tianchi outburst in Changbai Mountain
Authors: Liu Peng , Lang Qiuling , Zhang Yichen , Zhang Jiquan , Huang Jintao 
Published: March 2024

Abstract

The frequent occurrence of debris flow disasters in the Chibei District of the Changbaishan Mountain Reserve has seriously affected the lives and properties of residents.This paper, the MIKE21 model was used to simulate the distribution area and maximum water depth after the water body collapse in Changbaishan Tianchi. According to the specific conditions of the study area, eight evaluation indicators were selected: maximum water depth, average annual rainfall, slope, aspect, curvature, vegetation cover, lithology, and distance to water system. The study adopts game theory to optimize the combination of two empowerment methods of network hierarchy analysis (ANP) and CRITIC. It comprehensively evaluates the disaster hazard of debris flow induced by the Changbaishan Tianchi outburst based on a geographic information system. The results showed that 27.5% and 11.8% of the study areas were high and very high-risk, respec-tively. The receiver operating characteristic curve (ROC) was used to verify the accuracy of the mudslide hazard evaluation model. The accu-racy of the results reached 92%, indicating that the results of the hazard zoning are in line with re-ality. The assessment results can provide primary research for assessing debris flow disaster risk and early warning in the Changbaishan mountain area.
LncRNA BRE-AS1 Regulates the JAK2/STAT3-mediated Inflammatory Activation via the miR-30b-5p/SOC3 Axis in THP-1 cells
Authors: Shin Jae-Joon , Suk Kyoungho , Lee Won-Ha 
Published: March 2024

Abstract

Long non-coding RNAs (lncRNAs) have emerged as pivotal regulators in numerous biological processes, including macrophage-mediated inflammatory responses, which play a critical role in the progress of diverse diseases. This study focuses on the regulatory function of lncRNA BRE-AS1 in modulating the inflammatory activation of monocytes/macrophages. Employing the THP-1 cell line as a model, we demonstrate that lipopolysaccharide (LPS) treatment significantly upregulates BRE-AS1 expression. Notably, specific knockdown of BRE-AS1 via siRNA transfection enhances LPS-induced expression of interleukin (IL)-6 and IL-1β, while not affecting tumor necrosis factor (TNF)-α levels. This selective augmentation of pro-inflammatory cytokine production coincides with increased phosphorylation of JAK2 and STAT3. Furthermore, BRE-AS1 suppression results in the downregulation of SOCS3, an established inhibitor of the JAK2/STAT3 pathway. Bioinformatics analysis identified binding sites for miR-30b-5p on both BRE-AS1 and SOCS3 mRNA. Intervention with a miR-30b-5p inhibitor and a synthetic RNA fragment that represents the miR-30b-5p binding site on BRE-AS1 attenuates the pro-inflammatory effects of BRE-AS1 knockdown. Conversely, a miR-30b-5p mimic replicated the BRE-AS1 attenuation outcomes. Our findings elucidate the role of lncRNA BRE-AS1 in modulating inflammatory activation in THP-1 cells via the miR-30b-5p/SOCS3/JAK2/STAT3 signaling pathway, proposing that manipulation of macrophage BRE-AS1 activity may offer a novel therapeutic avenue in diseases characterized by macrophage-driven pathogenesis.
Disulfidptosis-related genes serve as potential prognostic biomarkers and indicate tumor microenvironment characteristics and immunotherapy response in prostate cancer
Authors: zhou rongbin , Lu Dingjin , Mi Junhao , Wang Chengbang , Lu Wenhao , Wang Zuheng , Li Xiao , Wei Chunmeng , Zhang Huiyong , Ji Jin , Zhang Yifeng , Zhang Duobing , Wang Fubo 
Published: March 2024

Abstract

Disulfidptosis, a novel programmed cell death pathway identified in prostate cancer (PCa), is intricately linked to intracellular disulfide stress and glycolysis. This research sought to elucidate the expression patterns and prognostic significance of disulfidptosis-related genes (DRGs) in PCa. We analyzed PCa datasets from TCGA, GEO, and MSKCC, accounting for batch effects and standardizing data. Using consistent cluster analysis, we categorized samples into subtypes based on 24 DRGs. Further, we employed univariate and LASSO regression analyses to construct a DRG-based risk score model. Its predictive accuracy was confirmed through Kaplan-Meier and ROC analyses. We also developed and validated prognostic nomograms for forecasting 1-, 3-, and 5-year progression-free survival, integrating risk scores with clinical factors, yielding area under the curve (AUC) values of 0.895, 0.825, and 0.768, respectively. This risk score model effectively stratified PCa patients into high- and low-risk groups. Utilizing the CIBERSORT algorithm, we explored the association between risk score and immune cell infiltration, and examined the tumor microenvironment and somatic mutations in different risk groups. Additionally, we investigated immunotherapy responses and drug sensitivities, uncovering significant links between DRG risk scores, clinical features, tumor microenvironment, and treatment outcomes. Notably, we identified PROK1 as a crucial prognostic marker in PCa, with its reduced expression correlating with disease progression. In summary, our study comprehensively assessed the clinical implications of DRGs in PCa progression and prognosis, offering vital insights for tailored precision medicine approaches.