The impact of pathological factors on the structure and function of erythrocyte membranes: from the molecular level to clinical consequences by D.А. Liadov

“…Pathological alterations in the structure and function of erythrocyte membranes lead to impaired deformability, reduced ability to traverse microvessels, and microcirculatory failure. …”
Get full text

Genomic insights reveal community structure and phylogenetic associations of endohyphal bacteria and viruses in fungal endophytes by Efraín Escudero-Leyva, Michal Belle, Abolfazl DadkhahTehrani, James N. Culver, Marcelo Araya-Salas, Joseph P. Kutza, Natasha Goldson, Max Chavarría, Priscila Chaverri

Get full text

Comparative study of the diversity and structure of plant-pollinator interactions in forest and agricultural landscapes in Northwestern Morocco by Amine SAMIH, Sergi TRÓCOLI, Latifa ROHI, Hassan FOUGRACH, Mohammed HSAINE, Noureddin MAATOUF

“…This study examines the influence of forest and agricultural landscapes in Northwestern Morocco on plant-pollinator interactions by analysing the structure and dynamics of their networks. Data were collected between mid-March and mid-July 2023 at eleven sites in different landscapes. …”
Get full text

Structuring climate service user groups for capacity building: A European Delphi-based approach by Maria del Pozo Garcia, Judith Gulikers, Bregje van der Bolt, Wouter Smolenaars, Estella Oncins, Perry den Brok, Fulco Ludwig

Get full text

Hydrological dynamics, wetland morphology and vegetation structure determine riparian arthropod communities in constructed wetlands by David Åhlén, Sofia Hedman, Jerker Jarsjö, Björn K. Klatt, Lea D. Schneider, John Strand, Ayco Tack, Imenne Åhlén, Peter A. Hambäck

“…Given the variable responses to wetland hydrological and structural drivers, it seems that wetland arthropod communities would benefit from a high local wetland habitat variability, or wetlandscapes where individual wetlands have differing hydrological dynamics, morphology and vegetation.…”
Get full text

Genetic Diversity and Population Structure of Tufted Deer (<i>Elaphodus cephalophus</i>) in Chongqing, China by Fuli Wang, Chengzhong Yang, Yalin Xiong, Qian Xiang, Xiaojuan Cui, Jianjun Peng

“…This study aimed to comprehensively evaluate the genetic diversity, population structure, gene flow, and demographic history of tufted deer across this critical region. …”
Get full text

Deep learning-based prediction of velocity and temperature distributions in metal foam with hierarchical pore structure by Yixiong Lin, Zhengqi Wu, Shiqi You, Chen Yang, Qinglian Wang, Wang Yin, Ting Qiu

“…Constrained by the substantial computational time required for numerical simulation, a deep learning technique is applied to investigate fluid flow and heat transfer processes in metal foam with a hierarchical pore structure. This work adopted a 3D convolutional neural network (CNN) combining U-Net architecture to predict velocity and temperature distributions, alongside corresponding permeability and overall heat transfer coefficient. …”
Get full text

Hierarchy in Structuring of Resource Selection: Understanding Elk Selection Across Space, Time, and Movement Strategies by Storm Crews, Nathaniel D. Rayl, Mathew W. Alldredge, Eric J. Bergman, Chuck R. Anderson Jr., Eric H. VanNatta, Joseph D. Holbrook, Guillaume Bastille‐Rousseau

Get full text

The role of gut microbiota in modulating brain structure and psychiatric disorders: A Mendelian randomization study by Zheng Ye, Yingying Gao, Jiaqi Yuan, Feng Chen, Peng Xu, Wenbin Liu

“…In this study, we employed a mediation Mendelian randomization approach to delve into the potential causal relationships between gut microbiota and psychiatric disorders, with a focus on the mediating role of brain structural changes. We harnessed genetic data from large - scale genome - wide association studies to analyze how 196 gut microbiota taxa affect ten psychiatric disorders via alterations in 3143 brain structures.Our key findings revealed significant bidirectional causal relationships. …”
Get full text

COMPARATIVE STUDY OF THE EFFECT OF REGENERATION STIMULATION DRUG ON THE STRUCTURE AND RATE OF HAIR GROWTH IN WHITE RATS by Olga B. Zhdanova, Iraida I. Okulova, Elena B. Dunaeva, Olga V. Chasovskikh

“…The study of the activation process of hair papilla stem cells when using regeneration stimulators to improve the structure of the hair and its growth rate is relevant both for the development of drugs for fur farming and alopecia treatment regimens. …”
Get full text

Auto-resolving the atomic structure at van der Waals interfaces using a generative model by Wenqiang Huang, Yucheng Jin, Zhemin Li, Lin Yao, Yun Chen, Zheng Luo, Shen Zhou, Jinguo Lin, Feng Liu, Zhifeng Gao, Jun Cheng, Linfeng Zhang, Fangping Ouyang, Jin Zhang, Shanshan Wang

“…Abstract The high-resolution visualization of atomic structures is significant for understanding the relationship between the microscopic configurations and macroscopic properties of materials. …”
Get full text

SIGNS OF POST-TRAUMATIC STRESS DISORDER IN COMBATANTS WITH DIFFERENT COMBAT EXPERIENCE AND THE STRUCTURE OF THEIR PSYCHOLOGICAL REHABILITATION by Ivan М. Okhrimenko, Nataliia O. Bilevych, Maryna Yu. Halych, Yaroslav V. Halych, Natalia E. Penkova, Petro V. Kozyra, Oksana G. Strelchenko

“…To study the signs of post-traumatic stress disorder in combatants depending on the duration of their participation in combat operations and to substantiate the structure of their psychological rehabilitation. …”
Get full text

Evolution law of microporous structure in cement asphalt (CA) mortar under the action of polyurethane polycarboxylates by Shuncheng Xiang, Ming Yuan, Xin Yang, Lulu Li, Yingli Gao, Haotian Yu, Huan Zhou, Tingxiang Zheng, Jin Zhang, Zhen Jiang

“…According to the analysis of fractal dimension and nuclear magnetic resonance test data, the Cement Asphalt (CA) mortar ‘s pore volume fractal dimension is greater than 3, indicating that the pore structure has fractal characteristics. …”
Get full text

Features of formation of grain sorghum yield structure elements in dependence on inter-row spacing and fertilizing by В. М. Найденко

“…Laboratory, field, statistical. Results. Data on features of structural elements formation and productivity of grain sorghum in dependence on varietal characteristics, inter-row spacing and level of mineral nutrition are presen­ted. …”
Get full text

Automatic Segmentation of the Infraorbital Canal in CBCT Images: Anatomical Structure Recognition Using Artificial Intelligence by Ismail Gumussoy, Emre Haylaz, Suayip Burak Duman, Fahrettin Kalabalık, Muhammet Can Eren, Seyda Say, Ozer Celik, Ibrahim Sevki Bayrakdar

“…<b>Background/Objectives:</b> The infraorbital canal (IOC) is a critical anatomical structure that passes through the anterior surface of the maxilla and opens at the infraorbital foramen, containing the infraorbital nerve, artery, and vein. …”
Get full text

Analyzing canopy structure effects based on LiDAR for GPP-SIF relationship and GPP estimation by Shuo Shi, Shuo Shi, Shuo Shi, Shuo Shi, Zixi Shi, Fangfang Qu, Wei Gong, Wei Gong, Wei Gong, Wei Gong, Lu Xu, Chenxi Liu

“…LiDAR offers unparalleled advantages in capturing complex vertical canopy structures. In this study, we used multi-source data, particularly LiDAR-derived canopy structure products, to analyze the annual variations in canopy structural parameters and GPP/SIF across different forest types, investigate the response of canopy structure to the GPP-SIF relationship, and employ machine learning models to estimate GPP and assess the contribution of canopy structural factors. …”
Get full text

Genetically predicted brain cortical structure mediates the causality between insulin resistance and cognitive impairment by Chaojuan Huang, Yuyang Zhang, Mingxu Li, Qiuju Gong, Siqi Yu, Zhiwei Li, Mengmeng Ren, Xia Zhou, Xiaoqun Zhu, Zhongwu Sun

“…Our investigation aims to establish the causal relationship and direction between insulin resistance and cognition, while also quantifying the mediating role of brain cortical structure in this association.MethodsThe publicly available data sources for insulin resistance (fasting insulin, homeostasis model assessment beta-cell function and homeostasis model assessment insulin resistance, proinsulin), brain cortical structure, and cognitive phenotypes (visual memory, reaction time) were obtained from the MAGIC, ENIGMA, and UK Biobank datasets, respectively. …”
Get full text

Observed upper-ocean structure and seasonal production in the southern Kerguelen Plateau region, 1994-2021 by Man Liang, Annie Foppert, Annie Foppert, Karen J. Westwood, Karen J. Westwood, Sophie Bestley, Sophie Bestley

“…We collate ship-based hydrographic data on the vertical structure of the upper water column near 80°E from eight voyages spanning 1994 to 2021, from 58°S towards the Antarctic continent. …”
Get full text

Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

“…In this study, we have developed classification sequence-structure-property relationships (SSPR) models for predicting the pathogenicity of amino acid substitutions (AAS) in 25 proteins associated with the most important and genetically studied PIDs and encoded genes: IL2RG, JAK3, RAG1, RAG2, ADA, DCLRE1C, CD40LG, WAS, ATM, STAT3, KMT2D, BTK, FOXP3, AIRE, FAS, ELANE, ITGB2, CYBB, G6PD, GATA2, STAT1, IFIH1, NLRP3, MEFV, and SERPING1.MethodsThe data on 4825 pathogenic and benign AASs in the selected proteins were extracted from ClinVar and gnomAD. …”
Get full text

Evolution of the Structure of Double-Layer Technology Cooperation-Transfer Networks and Its Impact on Innovation Capabilities by Chen Yuling, Xing Hexiang, Du Debin

“…Therefore, this study constructed a double-layer innovation network for the Yangtze River Delta for the period 2010 to 2019 based on patent collaboration and transfer data. It characterizes the basic evolutionary features of this double-layer network, analyzes the structural development differences between the collaboration and transfer subnetworks, investigates the dynamics of their coupling evolution, and explores the spatial spillover effects of the dual-layer network structure on urban innovation capacity. …”
Get full text