Effects of Oxidative Stress Gene Protein, Expression, and DNA Methylation on Multiple Sclerosis: A Multi‐Omics Mendelian Randomized Study by Yang Li, Yushi Wang, Shuning Wang, Hui Zhu

“…ABSTRACT Background Oxidative stress (OS) is linked to the development of multiple sclerosis (MS), but the causal relationship in terms of genetic pathophysiology remains ambiguous. …”
Get full text

A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRI. by Elizabeth M Sweeney, Joshua T Vogelstein, Jennifer L Cuzzocreo, Peter A Calabresi, Daniel S Reich, Ciprian M Crainiceanu, Russell T Shinohara

“…For lesion segmentation, we conclude that it is better to use simple, interpretable, and fast algorithms, such as logistic regression, linear discriminant analysis, and quadratic discriminant analysis, and to develop the features to improve performance.…”
Get full text

Vaccine-induced T cell responses correlate with reduced risk of severe COVID-19 in a placebo-controlled efficacy trialResearch in context by Nina Hertoghs, Sanne Roels, Matthias Brückner, Jerald Sadoff, Barbara L. Banbury, Nicholas K. Akers, Bryan Howie, Harlan S. Robins, Griet A. van Roey, Jeroen T.B.M. Tolboom, Veronica V. Rezelj, Jenny Hendriks, Hanneke Schuitemaker, Daniel J. Stieh, Mathieu Le Gars

“…A multivariable analysis including neutralizing antibody data and TCR scores indicated that, in addition to humoural responses, T cell responses contribute to protection against severe COVID-19. …”
Get full text

Slope—sedimentary source rock-type helium enrichment model: a case study of Shenmu Gas Field, Ordos Basin by Zhengang DING, Chenglin LIU, Liyong FAN, Rui KANG, Jianfa CHEN, Haidong WANG, Sijie HONG, Aslam Khan MUHAMMAD

“…The enrichment of helium in these gas fields is often closely related to the development of faults. However, the structural background within the basin is complex. …”
Get full text

Quantitative characterization and vertical evolution of fan delta sand bodies: A case study of the Liushagang Formation in the Weixi'nan Sag, China by Mingjun Li, Chuang Er, Lei Li, Liang Zhang, Tao Fu, Jian Man, Congmin Shen

“…Based on the current drilling data, seismic data, and fault development characteristics, this study investigates the connectivity, geometric morphology, planar distribution, and vertical evolution of composite sand bodies (multi-stage superimposed channel sand bodies) within the fault block using seismic forward and inversion modeling. …”
Get full text

Research progress and prospect of coal seam blasting antireflection technology in China by Zegong LIU, Guodong QIAO, Jian LIU, Kui GAO

“…However, as coal mining in China shifts to deeper areas and geological conditions of coal mines become increasingly complex, new requirements are imposed on coal seam blasting permeability enhancement technology. Therefore, future development trends and prospects of coal seam blasting permeability enhancement technology are proposed: in deep structural areas of coal seams, precise directional blasting technology should be developed to enhance permeability accurately while avoiding deep-seated secondary coal-rock dynamic disasters; for permeability enhancement in soft and low-permeability coal seams, traditional borehole layout techniques should be revised, and blasting holes should be constructed within roof and floor strata, promoting strata blasting permeability enhancement technology; in intelligent blasting permeability enhancement, integration with artificial intelligence and big data analysis methods should be pursued, focusing on intelligent design of blasting schemes and evaluation of blasting effects, thereby further advancing coal seam blasting permeability enhancement technology in alignment with China’s direction towards safe and intelligent coal mining development.…”
Get full text

Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

“…Therefore, the results demonstrate that the studied “high-fidelity and high-resolution” processing technology is beneficial for deep reservoir prediction by improving seismic data resolution, amplitude preservation, heterogeneity analysis, and weak signal recovery.Key Technical Descriptions1. …”
Get full text

CYTOKINE GENE EXPRESSION ASSOCIATED WITH TUMOR AND PREMETASTATIC NICHES IN BREAST CANCER STROMA by L. A. Tashireva, T. S. Geraschenko, M. V. Zavyalova, O. E. Saveleva, E. V. Kaygorodova, N. A. Tarabanovskaya, E. M. Slonimskaya, E. V. Denisov, V. M. Perelmuter

“…Nevertheless, the use of the multivariate data analysis allowed us to reveal a close relationship between the studied parameters related to a high risk of lymph node metastasis. …”
Get full text

CAFs activated by YAP1 upregulate cancer matrix stiffness to mediate hepatocellular carcinoma progression by Wei Yan, Guo-hui Xiao, Li-juan Wang, Yan Zhou, Fa Yang, Kuan-hou Mou

“…Pseudo-time analysis was applied to trace the developmental trajectories of CAFs. …”
Get full text

Power-Based Economic Politics in Persatuan Islam (Persis) in Sapeken, Sumenep-Madura by Limas Dodi

“…In order to be more systematic, this research used qualitative with a descriptive analysis approach. The data taken was only primary sources by involving directly to the field through interview techniques and non-participatory observation. …”
Get full text

Observation Characteristics and Synoptic Mechanisms of Typhoon Lekima Extreme Rainfall in 2019 by He Lifu, Chen Shuang, Guo Yunqian

“…Observation characteristics of extreme heavy rainfall with its thermodynamic structure evolution and water vapor transmission of super-typhoon Lekima in 2019 is comprehensively diagnosed and analyzed, in terms of automatic weather station data, FY-2G TBB and the microwave hygrometer channel inversion data of FY-3D MWHSⅡ, radar networking data and NCEP FNL 1° by 1° analysis data. …”
Get full text

Construction of “Biomigration – Regional Cooling” Multi-functional Ecological Network in Wuhan Urban Agglomeration by Jiajie LI, Yuanyuan GU, Zhong XING

“…Based on land cover data, satellite remote sensing data and other sources of data, and by integrating the methods of MSPA, landscape connectivity analysis and surface temperature inversion, 22 biodiversity and 27 regional cooling sources are identified, both of which are distributed in the northeastern and southern parts of the research area. …”
Get full text

Integration of multi-omics quantitative trait loci evidence reveals novel susceptibility genes for Alzheimer’s disease by Jinyang Gao, Xiaochan Bi, Wenjing Jiang, Yanqing Wang

“…Summary-data-based Mendelian Randomization (SMR), colocalization analysis and Heterogeneity in Dependent Instruments (HEIDI) analyses were conducted to establish causality between genetic variants and AD risk. …”
Get full text

Prognostic Value of ECG in Patients with Pulmonary Embolism by I. S. Mullova, T. V. Pavlova, S. M. Khokhlunov, D. V. Duplyakov

“…Inversion of the T wave in lead III was associated with the development of shock (OR 1.98; 95%CI 0.891-4.430; p=0.043).ECG-signs were also associated with the development of right ventricular dysfunction and pulmonary hypertension: right axis deviation (OR 1.035; 95%CI 1.008-1.062; p=0.01), ST-segment elevation in the AVR lead (OR 3.769; 95%CI 1.018-13.955; p=0.047), negative T wave in leads III, V1-V3 (OR 1.015; 95%CI 1.008-1.023; p=0.001 and OR 1.014; 95%CI 1.005-1.022; p=0.001, respectively), RBBB (OR 1.013; 95%CI 1.003- 1.024; p=0.012), p-pulmonale (OR 1.015; 95%CI 1.007-1.023; p=0.001), deep S in leads V5-V6 (OR 1.015; 95%CI 1.006-1.024; p=0.001). …”
Get full text

UAV-Based Multispectral Winter Wheat Growth Monitoring with Adaptive Weight Allocation by Lulu Zhang, Xiaowen Wang, Huanhuan Zhang, Bo Zhang, Jin Zhang, Xinkang Hu, Xintong Du, Jianrong Cai, Weidong Jia, Chundu Wu

“…Therefore, this study focuses on winter wheat and constructs a comprehensive growth monitoring index (CGIac), based on adaptive weight allocation of growth parameters’ contribution to yield, using data such as leaf area index (LAI), soil plant analysis development (SPAD) values, plant height (PH), biomass (BM), and plant water content (PWC). …”
Get full text

Association between smoking status and non-alcoholic fatty liver disease. by Hyun Joe, Jung-Eun Oh, Yong-Jin Cho, Hwang-Sik Shin

“…<h4>Methods</h4>This cross-sectional study included data from 12,241 adult males who underwent health checkups at a university hospital health promotion center between January 2018 and December 2019. …”
Get full text

Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization by Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

Get full text

The study of thermodynamic mechanisms of advection-cooled sea fogs for two cases based on the WRF model by Xin-Ya Ye, Fei-Fei Shen, Fei-Fei Shen, Fei-Fei Shen, Hai-Yan Fei, Qi-Long Sun, Ai-Qing Shu, Shen Wan, He Chen

“…Although both events are primarily caused by advection cooling, their underlying thermodynamic structures differ due to varying synoptic and mesoscale conditions.MethodsHigh-resolution numerical simulations were performed using the Weather Research and Forecasting (WRF) model. Supplementary data sources include MICAPS surface observations, ERA reanalysis data, and radiance measurements from the FY-4A satellite. …”
Get full text

Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression by Majid Ghorbani, Abolfazl Mahmoodi, Mohammad Khaledi

“…Logistic regression method is considered as a linear developed method to predict air pollution; Time series analysis of parameters affecting air pollutants and addressing how much data is needed in previous times to predict the amount of pollutants one step ahead is an issue that has been less studied. …”
Get full text

Quantitative soil characterization using the frequency domain electromagnetic induction method in heterogeneous fields by G. Mendoza, G. Blanchy, G. Blanchy, E. Van De Vijver, J. Verhegge, J. Verhegge, W. Cornelis, P. De Smedt, P. De Smedt

“…This analysis also highlighted the sensitivity of the minimization method used in FDEM data inversion and the applied pedophysical model. …”
Get full text