Transient Stability Assessment of Graph Attention Networks Considering Data Missing by Shengcun ZHOU, Yi LUO, Xuancheng YI, Yaning WU, Ding LI, Yi XIONG

“…Finally, the focus loss function is used to enhance the model's learning ability for unstable samples. …”
Get full text

Exploring factors influencing the consistent adoption of a post-stroke upper extremity outcome measure using Normalisation Process Theory by Silvana X. Choo, Joshua Yong, Shaikh Abdullah Bin Mohamed Rafi, Chen Ju Lo, Jun Bin Tong, Elaine Lum, Julian Thumboo

“…Abstract Background Stroke rehabilitation guidelines recommend using outcome measures like the Fugl-Meyer Assessment for Upper Extremity (FMA-UE) to assess post-stroke upper extremity function. However, integrating such outcome measures into routine clinical practice remains challenging, highlighting the need to understand factors affecting their implementation in evolving healthcare models. …”
Get full text

ATP11B Modulates Microglial Lipid Metabolism and Alleviates Alzheimer's Disease Pathology by Yuchen Zhang, Shibo Zhang, Xuyu Zhao, Peiru Wu, Yiwei Ying, Lingling Wu, Junyi Zhuang, Zixin Chen, Yufan Chao, Xin Dong, Robert Chunhua Zhao, Jiao Wang

“…The abnormal accumulation of LDs disrupts normal cellular function and exacerbates the pathological process of AD. …”
Get full text

Outcome of Precontoured Titanium Mesh in the Reconstruction of Orbital Blowout Fractures by Amarnath Munoli, Jinisha Bhanushali, Mukund Jagannathan

“…Background Orbital blowout fractures are peculiar injuries causing disruption of both ocular function and symmetry. We present our experience with the use of a precontoured titanium mesh in orbital blowout fractures. …”
Get full text

Loss of SynDIG4/PRRT1 alters distribution of AMPA receptors in Rab4- and Rab11-positive endosomes and impairs basal AMPA receptor recycling by Chun-Wei He, Elva Díaz

“…The transmembrane protein Synapse Differentiation Induced Gene 4 (SynDIG4) functions as an auxiliary factor of AMPA receptors (AMPARs) and plays a critical role in excitatory synaptic plasticity as well as hippocampal-dependent learning and memory. …”
Get full text

A Violet‐Light‐Responsive ReRAM Based on Zn2SnO4/Ga2O3 Heterojunction as an Artificial Synapse for Visual Sensory and In‐Memory Computing by Saransh Shrivastava, Wei‐Sin Dai, Stephen Ekaputra Limantoro, Hans Juliano, Tseung‐Yuen Tseng

“…As an artificial neuron device, PSR is able to imitate some basic neural functions such as multi‐levels of photoelectric memory with linearly increasing trend, and learning‐forgetting‐relearning behavior. …”
Get full text

Application of spectral characteristics of electrocardiogram signals in sleep apnea by Jiayue Hu, Liu Yang, Xintong Zhao, Haicheng Wei, Jing Zhao, Miaomiao Li

“…First, the ECG signal is preprocessed via ensemble empirical mode decomposition combined with independent component analysis (EEMD-ICA) to identify the most representative intrinsic mode function (IMF) based on the maximum instantaneous frequency in the frequency domain. …”
Get full text

PSL-IoD: PUF-Based Secure Last-Mile Drone Delivery in Supply Chain Management by Mohammad D. Alahmadi, Ahmed S. Alzahrani, Azeem Irshad, Shehzad Ashraf Chaudhry

“…We propose a Physical Uncloneable Function (PUF)-based secure authentication protocol (PSL-IoD) using symmetric key operations for reliable last-mile drone delivery in SCM. …”
Get full text

Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessment by Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert

“…<italic>Methods:</italic> Deep-MASKS uses an autoencoder to reconstruct MFCC components of an individual&#x2019;s speech from an i-vector, x-vector or d-vector representation of their speech learned during the enrollment period. Deep-MASKS utilizes a Deep Neural Network (DNN) for MFCC signal reconstructions, which yields a more accurate, higher-order function compared to prior work that utilized a mask. …”
Get full text

Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks by Theodoros Leontiou, Anna Frixou, Marios Charalambides, Efstathios Stiliaris, Costas N. Papanicolas, Sofia Nikolaidou, Antonis Papadakis

“…A physics-informed loss function embedding the heat equation was used in conjunction with statistical uncertainty during training to simulate realistic scenarios. …”
Get full text

Three-Dimensional Dynamic Trajectory Planning for Autonomous Underwater Robots Under the PPO-IIFDS Framework by Liqiang Liu, Min Sun, Enjiao Zhao, Kuang Zhu

“…The IIFDS serves as the planning layer, generating obstacle-adaptive trajectories for AUVs through the dynamic adjustment of flow field parameters. Meanwhile, PPO functions as the learning and decision-making layer, optimizing critical parameters in IIFDS, including repulsion response coefficients, tangential response coefficients, and directional coefficients, to enhance adaptability and real-time decision-making. …”
Get full text

The Role of Insulin Within the Socio-Psycho-Biological Framework in Type 2 Diabetes—A Perspective from Psychoneuroimmunology by Anne Wevers, Silvia San Roman-Mata, Santiago Navarro-Ledesma, Leo Pruimboom

“…This study proposes a theory that expands insulin’s role beyond traditional metabolic functions, incorporating it into the Mitochondrial Information Processing System (MIPS) and exploring it from an evolutionary medicine perspective to explore its function in processing psychological and social factors into biological responses. …”
Get full text

Detecting neuropsychiatric fluctuations in Parkinson’s Disease using patients’ own words: the potential of large language models by Matilde Castelli, Mario Sousa, Illner Vojtech, Michael Single, Deborah Amstutz, Marie Elise Maradan-Gachet, Andreia D. Magalhães, Ines Debove, Jan Rusz, Pablo Martinez-Martin, Raphael Sznitman, Paul Krack, Tobias Nef

“…Abstract Over the past decade, neuropsychiatric fluctuations in Parkinson’s disease (PD) have been increasingly recognized for their impact on patients’ quality of life. Speech, a complex function carrying motor, emotional, and cognitive information, offers potential insights into these fluctuations. …”
Get full text

Semi‐supervised contextual cognitive augmentation‐based cross‐teaching network for multiclass medical image segmentation by Di Gai, Yuxuan Wu, Yusong Xiao, Yuhan Geng, Lei Cao, Xin Xiong, An‐qi Zhong

“…Additionally, a cross‐teaching strategy is adopted and a hybrid loss function is utilized to encourage knowledge sharing among the networks, leveraging the advantages of dual networks for improved performance. …”
Get full text

AFMF: adaptive fusion of multi-hop neighborhood features in graph convolutional network by Kang Liu, Xinyu Li, Lian Liu, Zhihao Xv, Aohang Pei, Runshi Ji

“…The cross entropy loss function drives the network to preserve critical information. …”
Get full text

A Sulfated Glycosaminoglycan Linkage Region is a Novel Type of Human Natural Killer-1 (HNK-1) Epitope Expressed on Aggrecan in Perineuronal Nets. by Keiko Yabuno, Jyoji Morise, Yasuhiko Kizuka, Noritaka Hashii, Nana Kawasaki, Satoru Takahashi, Shinji Miyata, Tomomi Izumikawa, Hiroshi Kitagawa, Hiromu Takematsu, Shogo Oka

“…Considering PNNs are mainly composed of chondroitin sulfate proteoglycans (CSPGs) and regulate neural plasticity, GlcAT-P-independent expression of HNK-1 in PNNs is suggested to play a role in neural plasticity. However, the function, structure, carrier glycoprotein and biosynthetic pathway for GlcAT-P-irrelevant HNK-1 epitope remain unclear. …”
Get full text

Improved Quantum Query Upper Bounds Based on Classical Decision Trees by Arjan Cornelissen, Nikhil S. Mande, Subhasree Patro

“…In particular, we obtain a bounded-error quantum query algorithm of cost $O(\sqrt{s})$ to compute a Boolean function (more generally, a relation) that can be computed by a classical (even randomized) decision tree of size $s$. …”
Get full text

Foundation Models as Assistive Tools in Hydrometeorology: Opportunities, Challenges, and Perspectives by Lujia Zhang, Yurong Song, Hanzhe Cui, Mengqian Lu, Chenyue Li, Binhang Yuan, Bin Wang, Upmanu Lall, Jing Yang

“…Abstract Most state‐of‐the‐art AI applications in hydrometeorology are based on classic deep learning approaches. However, such approaches cannot automatically integrate multiple functions to construct a single intelligent agent, as each function is enabled by a separate model trained on independent data sets. …”
Get full text

Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study by Jiaxing Tan, Rongxin Yang, Liyin Xiao, Lingqiu Dong, Zhengxia Zhong, Ling Zhou, Wei Qin

“…The KMN stratification significantly outperformed the existing International IgA Nephropathy Prediction Tool (AUC of 0.72) and renal function-renal histology grading schemes (AUC of 0.69). …”
Get full text

DVF-NET: Bi-Temporal Remote Sensing Image Registration Network Based on Displacement Vector Field Fusion by Mingliang Xue, Yiming Zhang, Shucai Jia, Chong Cao, Lin Feng, Wanquan Liu

“…This paper introduces DVF-NET, a novel deep learning-based framework for dual-temporal remote sensing image registration. …”
Get full text