Impact of surrounding tissue-type and peri-electrode gap in stereoelectroencephalography guided (SEEG) radiofrequency thermocoagulation (RF-TC): a computational study by Santiago Collavini, Juan J. Pérez, Enrique Berjano, Mariano Fernández-Corazza, Silvia Oddo, Ramiro M. Irastorza

“…The computer model was first validated by an ex vivo model based on liver fragments and later used to study the impact of three different factors on the coagulation zone size: 1) the difference in the tissue surrounding the electrode (gray/white matter), 2) the presence of a peri-electrode gap occupied by cerebrospinal fluid (CSF), and 3) the energy setting used (power-duration).Results The model built for the experimental validation was able to predict both the evolution of impedance and the short diameter of the coagulation zone (error < 0.01 mm) reasonably well but overestimated the long diameter by 2 − 3 mm. After adapting the model to clinical conditions, the simulation showed that: 1) Impedance roll-off limited the coagulation size but involved overheating (around 100 °C); 2) The type of tissue around the contacts (gray vs. white matter) had a moderate impact on the coagulation size (maximum difference 0.84 mm), and 3) the peri-electrode gap considerably altered the temperature distributions, avoided overheating, although the diameter of the coagulation zone was not very different from the no-gap case (<0.2 mm).Conclusions This study showed that computer modeling, especially subject- and scenario-specific modeling, can be used to estimate in advance the electrical and thermal performance of the RF-TC in brain tissue.…”
Get full text

Imaging the large‐scale and cellular response to focal traumatic brain injury in mouse neocortex by Yelena Bibineyshvili, Thomas J. Vajtay, Shiva Salsabilian, Nicholas Fliss, Aastha Suvarnakar, Jennifer Fang, Shavonne Teng, Janet Alder, Laleh Najafizadeh, David J. Margolis

“…Our results in unanaesthetized mice describe novel spatial and temporal neural adaptations that occur at cortical sites remote to a focal brain injury.…”
Get full text

A comprehensive analysis of the epidemiological and genomic characteristics of global Serratia Marcescens by Wenqin Chen, Zheqian Li, Jie Zheng, Danwei Wang, Shuo Gao, Wanqing Zhou, Han Shen, Yan Zhang, Xiaoli Cao

“…Conclusion: Temporal analysis showed a genome peak in 2019, underscoring the global prevalence and adaptability of S. marcescens. The distribution of ARGs across diverse STs emphasizes horizontal gene transfer as a key driver of resistance. …”
Get full text

Multifeature Alignment and Matching Network for SAR and Optical Image Registration by Xin Hu, Yan Wu, Zhikang Li, Zhifei Yang, Ming Li

“…According to the essential relationships of features mined by the momentum contrastive learning strategy, the labels are adaptively modified to reduce the influence of the incorrect labels on the model&#x0027;s performance and achieve more stable matching results. …”
Get full text

Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ) by Coral Sánchez-Martín, Javier Leal-Martín, Timo Rantalainen, Irene Rodríguez-Gómez, Luis M. Alegre, Ignacio Ara

“…This code automates data handling, ensuring efficiency and facilitating adaptability. Moreover, it interacts seamlessly with Microsoft Excel sheets, providing a user-friendly interface for data input, storage, and organisation. …”
Get full text

Characterization of the C5H11ORF96 gene in chickens: cloning, tissue distribution and investigation of its potential function in stress response regulation by Yiping Wan, Jiannan Zhang, Xiao Zhang, Jiliang He, Ningkun Shi, Yuanyou Li, Juan Li, Yajun Wang

“…The characterization of the C5H11ORF96 gene in the chicken stress response provides potential targets for stress adaptability and poultry production. Meanwhile, our finding provides essential insights into the physiological functions of C11ORF96 gene in vertebrates.…”
Get full text

Xanthomonas citri subsp. citri requires a genus-specific outer membrane protein and TolB to coordinate cell membrane integrity and virulence by Leilei Wu, Xueyan Zhu, Hang Long, Xinyu Huang, Shuying Zhu, Qi Xue, Ziao Li, Huasong Zou

“…Moreover, OMPXan and TolB are both required for cell membrane integrity, stress adaption, and virulence. The overall results support that OMPXan and TolB coordinate multi-faceted mechanisms to manage environmental stress and pathogenicity.…”
Get full text

Learning and Teaching Geological Field Skills in a Virtual World: Insights From an Undergraduate Virtual Fieldtrip in Kinlochleven, Scotland by Matthew J. Genge, Valentin Laurent, Philippa J. Mason, Alan R. T. Spencer, Mark D. Sutton, Alex C. Whittaker

“…In addition, neurodiverse group of students required adaptations to assist with spatial awareness in virtual environments. …”
Get full text

Mapping Nanoscale‐To‐Single‐Cell Phosphoproteomic Landscape by Chip‐DIA by Gul Muneer, Sofani Tafesse Gebreyesus, Ciao‐Syuan Chen, Tzu‐Tsung Lee, Fengchao Yu, Chih‐An Lin, Min‐Shu Hsieh, Alexey I. Nesvizhskii, Chao‐Chi Ho, Sung‐Liang Yu, Hsiung‐Lin Tu, Yu‐Ju Chen

“…With flexibility in module design and functionalization, Chip‐DIA can be adapted to other PTM‐omics to explore dysregulated PTM landscapes, thereby guiding therapeutic strategies toward precision oncology.…”
Get full text

Aortic stenosis post-COVID-19: a mathematical model on waiting lists and mortality by Chris P Gale, Jonathan Weir-McCall, James H F Rudd, Mamas Mamas, Ramesh Nadarajah, Ben Gibbison, Louise Sun, Christian Philip Stickels, Houyuan Jiang, Kieran J Sharkey, Nick Holliman, Sara Lombardo, Lars Schewe, Matteo Sommacal, Katherine Cheema, Feryal Erhun

“…However, plausible adaptations will still incur a substantial wait to treatment and many hundreds dying while waiting.…”
Get full text

Mapping the Dream: Designing Optimal E-Bike Routes in Valparaíso, Chile, Using a Multicriteria Analysis and an Experimental Study by Vicente Aprigliano, Catalina Toro, Gonzalo Rojas, Iván Bastías, Marcus Cardoso, Tálita Santos, Marcelino Aurélio Vieira da Silva, Emilio Bustos, Ualison Rébula de Oliveira, Sebastian Seriani

“…This study highlights the need to adapt urban mobility policies to the unique topographical conditions of each city. …”
Get full text

An improved U-net and attention mechanism-based model for sugar beet and weed segmentation by Yadong Li, Ruinan Guo, Rujia Li, Rongbiao Ji, Mengyao Wu, Dinghao Chen, Cong Han, Ruilin Han, Yongxiu Liu, Yuwen Ruan, Jianping Yang, Jianping Yang

“…Additionally, CBAM (Convolutional Block Attention Module) is incorporated into the decoder as a multi-scale feature fusion module, adaptively adjusting feature map weights to enable the model to focus more accurately on the edges and textures of crops and weeds.Results and discussionExperimental results show that the proposed model achieved 84.28% mIoU and 88.59% mPA on the sugar beet dataset, representing improvements of 3.08% and 3.15% over the baseline UNet model, respectively, and outperforming mainstream models such as FCN, PSPNet, SegFormer, DeepLabv3+, and HRNet. …”
Get full text

Modified iris system: initial experience with a new technology for safety in hiatal surgery in pediatric patients by Joel Cazares, Eduardo De la Rosa-Bustamante, Jorge Colín-Garnica, Arturo Guillen-Cárdenas, Marbella Sepulveda-Valenzuela, Miguel Torres-Salas, Jorge Alberto Cantú-Reyes

“…The IRIS U-kit, originally designed for urology, was adapted to aid esophageal visualization. This system utilized an illuminated ureteral stent with optical fibers inserted into a feeding tube (bougie). …”
Get full text

Deconstructing the Monolith: An Educational Module for Understanding Disparities Within Asian American, Native Hawaiian, and Pacific Islander Populations by Karan D. Luthria, Dylan K. Kim, Samantha Xing, Mina Yuan, Jerry Zhou, Catherine A. Shu, Usha S. Krishnan

“…Methods We developed, implemented, and facilitated a workshop for medical students to address AANHPI health disparities, adaptable for in-person and online formats. The 1-hour session involved a preworkshop evaluation; a PowerPoint presentation outlining the history of the Asian monolith bias, health disparities within AANHPI subgroups, and strategies for health care professionals and trainees to engage effectively with these communities; and a postworkshop evaluation. …”
Get full text

A novel high-resolution eco-functional vegetation mapping of coastal dunes by Michele Innangi, Mirko Di Febbraro, Marco Balsi, Ginevra Colonna, Michele Finizio, Federica Pontieri, Maria Laura Carranza

“…The first class, situated near the drift-line, included Thinopyrum junceum, a species adapted to wind and sand movement. The second class bridged dynamic foredune and more stable areas, featuring ruderal species like Scabiosa atropurpurea. …”
Get full text

Deep Reinforcemnet Learning for Robust Beamforming in Integrated Sensing, Communication and Power Transmission Systems by Chenfei Xie, Yue Xiu, Songjie Yang, Qilong Miao, Lu Chen, Yong Gao, Zhongpei Zhang

“…Deep reinforcement learning (DRL), a machine learning technique where an agent learns by interacting with its environment, offers a promising approach that can dynamically optimize system performance through adaptive decision-making strategies. In this paper, we propose a DRL-based ISCPT framework, which effectively manages complex environmental states and continuously adjusts variables related to sensing, communication, and energy harvesting to enhance overall system efficiency and reliability. …”
Get full text

Geographical distribution and evolutionary dynamics of H4Nx avian influenza viruses by Ye Ge, Jing Liu, Yuanguo Li, Peng Peng, Yan Zhou, Jiantao Yu, Miaotong Huo, Xiaodong Liang, Yuwei Gao, Qiucheng Yao

“…Molecular characterization revealed that all viruses in this study were less pathogenic but had potential mammalian-adapted mutations. The transmission dynamics of H4Nx AIVs revealed that Europe and Asia, especially the Netherlands and Bangladesh, may be the centers of transmission. …”
Get full text

IL-6-Inducing Peptide Prediction Based on 3D Structure and Graph Neural Network by Ruifen Cao, Qiangsheng Li, Pijing Wei, Yun Ding, Yannan Bin, Chunhou Zheng

“…Interleukin-6 (IL-6) is a potent glycoprotein that plays a crucial role in regulating innate and adaptive immunity, as well as metabolism. The expression and release of IL-6 are closely correlated with the severity of various diseases. …”
Get full text

Isolation and characterization of a novel highly efficient bacterium Lysinibacillus boronitolerans QD4 for quantum dot biosynthesis by Xingyu Gu, Xingyu Gu, Xiaoju Li, Ruijia Zhang, Ruijia Zhang, Ruoli Zheng, Ruoli Zheng, Mingrui Li, Mingrui Li, Rong Huang, Xin Pang

“…The strain QD4 grows well in the range of 25–40 °C (optimum, 37 °C), pH 5.0–9.0 (optimum, pH 7.0), with a high cadmium-resistance as it could grow at Cd2+ concentration up to 2 mM, implying its good adaptability to the environment and potential for application. …”
Get full text

Heterogeneous graph convolutional neural network for protein-ligand scoring by Kevin Crampon, Alexis Giorkallos, Xavier Vigouroux, Stephanie Baud, Luiz Angelo Steffenel

“…Using a representation that involves classical graph neural networks (GNNs) and splitting the learning process regarding the edge type makes the proposed model to be the best adapted for future transfer learning on other (protein-DNA, protein-sugar, protein-protein, etc.) biological complexes.…”
Get full text