Diagnostic value of the integral assessment of electroencephalographic pattern in patients in the acute period of spontaneous supratentorial intracerebral hemorrhage by A. A. Kuznietsov

“…Complex analysis of bioelectric activity of the brain in patients with SSICH allows to identify the integral types of EEG pattern, which represent the functional state of cerebral structures and are associated with the clinical and neuroimaging criteria of midline shift severity.…”
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Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors by Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Nicholas Riccardi, Valerie L. Shalin, Valerie L. Shalin, Dirk-Bart den Ouden, Julius Fridriksson, Svetlana V. Shinkareva, Svetlana V. Shinkareva, Amit P. Sheth, Amit P. Sheth, Amit P. Sheth, Rutvik H. Desai, Rutvik H. Desai

“…We used nested cross-validation to examine performance along three dimensions: (1) parcellation schemes (JHU, AAL, BRO, and AICHA atlases), (2) neuroimaging modalities (resting-state functional connectivity, structural connectivity, mean diffusivity, fractional anisotropy, and lesion location) and (3) ML methods (Random Forest, Support Vector Regression, Decision Tree, K Nearest Neighbors, and Gradient Boosting). …”
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Multimodal precision MRI of the individual human brain at ultra-high fields by Donna Gift Cabalo, Ilana Ruth Leppert, Risavarshni Thevakumaran, Jordan DeKraker, Youngeun Hwang, Jessica Royer, Valeria Kebets, Shahin Tavakol, Yezhou Wang, Yigu Zhou, Oualid Benkarim, Nicole Eichert, Casey Paquola, Julien Doyon, Christine Lucas Tardif, David Rudko, Jonathan Smallwood, Raul Rodriguez-Cruces, Boris C. Bernhardt

“…Abstract Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapping of brain structure, function, and connectivity patterns with high fidelity in single individuals. …”
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Thirty-day Outcomes of First-in-man Implantation of a Novel Transcatheter Edge-to-edge Mitral Repair System in Patients With Severe Mitral Regurgitation by Kai Xu, Yan Wang, Shaoliang Chen, Xiangbin Pan, Ben He, Ruiyan Zhang, Bin Wang, Junjie Zhang, Zhengbin Zhu, Bin Wang, Da Zhu, Yaling Han

“…The heart team considered patients from 5 centers in China with clinically significant functional mitral regurgitation ≥3+ despite optimal medical therapy or degenerative mitral regurgitation ≥3+ with high surgical risk as candidates for transcatheter repair. …”
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Development and validation of models for fuel rod oxidation and hydrogen pick-up behaviors in pressurized water reactor by CHEN Nan, XIANG Fengrui, HE Yanan, WU Yingwei, ZHANG Jing, SU Guanghui, TIAN Wenxi, QIU Suizheng

“…Hydrogen diffusion verification includes concentration gradient verification and temperature gradient verification. …”
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Limited Effect of Biodiversity on the Multifunctionality of a Revegetated Riparian Ecosystem by Yueliang Jiang, Chen Ye, Manuel Delgado-Baquerizo, Guiyao Zhou, Yu Gong, Quanfa Zhang

“…Vegetation and microbial diversity play an essential role in ecosystem function. Active ecosystem restoration costs millions of dollars to increase biodiversity, yet when and how this restoration is effective when aiming at restoring multiple ecosystem functions (EMF) is still under debate. …”
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Stellar Population and Energy Feedback in the Supergiant Shell LMC 1 by Guan-Hong Li, Chuan-Jui Li, You-Hua Chu, Po-Sheng Ou, C.-H. Rosie Chen, Konstantin Grishunin, Hsu-Tai Lee

“…The observed present-day mass function is compared with the Salpter initial mass function to estimate the number of massive stars that have exploded as supernovae. …”
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Cytomimetic calcification in chemically self-regulated prototissues by Rui Sun, Zhuping Yin, Molly M. Stevens, Mei Li, Stephen Mann

“…Abstract The fabrication of cytomimetic materials capable of orchestrated and adaptive functions remains a significant challenge in bottom-up synthetic biology. …”
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Designing precise dynamical steady states in disordered networks by Marc Berneman, Daniel Hexner

“…Elastic structures can be designed to exhibit precise, complex, and exotic functions. While recent work has focused on the quasistatic limit governed by force balance, the mechanics at a finite driving rate are governed by Newton’s equations. …”
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Relationship Between Remnant Cholesterol and Risk of Heart Failure in a Community Population Without Cardiovascular Disease: Results of the China Patient‐Centered Evaluative Assess... by Qiujin Huang, Weida Qiu, Chaolei Chen, Jiabin Wang, Yanqiu Ou, Yingqing Feng

“…Conclusions Elevated RC is linked to unfavorable left ventricular structure and function alterations, increasing the risk of subsequent HF. …”
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Pressure induced crossover from 2D-like to 3D structural arrangement in van der Waals magnet CrBr3 by D.P. Kozlenko, O.N. Lis, N.T. Dang, S.E. Kichanov, E.V. Lukin, I.Yu. Zel, N.O. Golosova, B.N. Savenko, T.L. Phan, T.K. Dinh, T.A. Tran

“…DFT calculations using first-principles generalized gradient approximations of the Perdew-Burke-Ernzerhof (PBE) and Perdew–Burke–Ernzerhof-sol (PBEsol) functionals qualitatively reproduced the high pressure effects on the structural and electronic properties of CrBr3, with more accurately results obtained by PBEsol. …”
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Research on gut microbiota characteristics of PBC patients at different ALBI grades based on machine learning by Han Shi, Qi Wang, Qi Wang, Qi Wang, Bin Xu, Yanmin Liu, Juan Zhao, Xue Yang, Chunyang Huang, Ronghua Jin, Ronghua Jin, Ronghua Jin, Ronghua Jin

“…We analyzed alpha diversity, beta diversity, LEfSe analysis and pathway function prediction. Additionally, various machine learning methods—including random forest (RF), lasso, gradient boosting machine (GBM) and support vector machine (SVM)—were employed to identify key features and to build and validate predictive models using bootstrap techniques.ResultsClinical characteristics of ALBI grade 1 patients were comparatively better than those of ALBI grade 2 and 3 patients, including multiple laboratory indices. …”
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On-chip waveguide digital metalenses via inverse design by Tao Wang, Qi Luo, Fengyuan Cui, Zimeng Zhang, Qinghai Song, Ke Xu

“…Beam focusing is one of the basic functionalities of wavefront shaping, which can be implemented using phase gradient metalenses consisting of arrays of meta-atoms. …”
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AI analysis reveals top predictors of first grade success: Insights from multifactorial screening students’ early days of school by Pedro Bem-Haja, Paulo Nossa, Andreia J. Ferreira, Diogo S. Pereira, Carlos F. Silva

“…Findings also suggest that comprehensive training in executive functions and early literacy and numeracy skills in preschool and early primary education might enhance academic outcomes, even for students from disadvantaged backgrounds. …”
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A dual GAN with identity blocks and pancreas-inspired loss for renewable energy optimization by Mostafa Elbaz, Wael Said, Gamal M. Mahmoud, Hanaa Salem Marie

“…Despite their potential, traditional GAN face challenges such as mode collapse, vanishing gradients, and pixel integrity issues. This paper introduces a novel architecture, Penca-GAN, which enhances GANs through three key modifications: (1) dual loss functions to ensure pixel integrity and promote diversity in augmented images, effectively mitigating mode collapse and improving the quality of synthetic data; (2) the integration of an identity block to stabilize training, preserving essential input features and facilitating smoother gradient flow; and (3) a pancreas-inspired metaheuristic loss function that dynamically adapts to variations in training data to maintain pixel coherence and diversity. …”
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Investigation of an Efficient Multi-Class Cotton Leaf Disease Detection Algorithm That Leverages YOLOv11 by Fangyu Hu, Mairheba Abula, Di Wang, Xuan Li, Ning Yan, Qu Xie, Xuedong Zhang

“…The C3k2_RCM module is appended for long–range context modeling, and the ARelu activation function is employed to alleviate the vanishing gradient problem. …”
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Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation by Sabrina Zumbo, Stefano Mandija, Ettore F. Meliado, Peter Stijnman, Thierry G. Meerbothe, Cornelis A.T. van den Berg, Tommaso Isernia, Martina T. Bevacqua

“…Each network takes in input the EPs and the gradient descent direction (encoding the physics underlying the adopted scattering model) and returns as output the updated contrast function. …”
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Influence of Emergent Vegetation Layout on Flow Pattern in a Rectangular Shallow Basin by Junnan LYU, Yuxuan JIANG, Zhidong YAO, Chen YE, Xufeng YAN

“…Prior research has extensively debated shallow basins’ functions and influencing factors from these perspectives, employing methods such as field investigations, aerial remote sensing, physical experiments, large-scale modeling, and surveys. …”
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Making cells inter-connected for signaling communication: a developmental view of cytonemes by Jiayue Ma, Honglin Yu, Shuo Yao, Yan Yan, Zhaoyu Gu, Ziqi Wang, Hai Huang, Di Chen

“…In this review, we summarize the latest advances of cytoneme research across different model organisms by focusing on the regulatory mechanisms and functional roles in stem cells and developmental disorders. …”
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Study on field electron emission characteristics and microstructure corrosion of titanium dominated by crystal orientation by Quancai Zhang, Zhen Wang, Li’an Zhu, Ye Hua, Yicong Ye, Fayuan Li, Tao Yang, Fanzheng Zeng, Song Li, Shuxin Bai

“…Field electron emission (FEE) has significant applications in high-gradient accelerators, cold cathode electron sources, and high-power electronic devices. …”
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