3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization by Rishabh Narayanan, Elizabeth Peker, William DeGroat, Dinesh Mendhe, Saman Zeeshan, Zeeshan Ahmed

“…Results The overall functionality of 3D IntelliGenes is divided into two modules, data clustering and feature plotting. …”
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Analysis of clinical anatomical correlates of motor deficits in stroke by multivariate lesion inference based on game theory by Monica N. Toba, Caroline Malherbe, Caroline Malherbe, Melissa Zavaglia, Melissa Zavaglia, Audrey Arnoux, Mélanie Barbay, Claus C. Hilgetag, Claus C. Hilgetag, Olivier Godefroy

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Response estimation and system identification of dynamical systems via physics-informed neural networks by Marcus Haywood-Alexander, Giacomo Arcieri, Antonios Kamariotis, Eleni Chatzi

“…PINNs offer a unique advantage by embedding known physical laws directly into the neural network’s loss function, allowing for simple embedding of complex phenomena, even in the presence of uncertainties. …”
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Exploration and validation of the prognostic value of mitophagy and mitochondrial dynamics-related genes in cervical cancer by Jiankui Li, Xi Chen, Juan Li

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Tibetan entity relation extraction based on multi-level attention fusion mechanism by Like WANG, Yuan SUN, Sisi LIU

“…Compared with Chinese and English, the training corpus of Tibetan entity relation is smaller, so it is difficult to obtain higher accuracy based on traditional supervised learning methods.And there exists the problem of wrong labels in distant supervision for relation extraction.To solve these problems, the distant supervision method was used to construct the data set of Tibetan entity relation extraction through aligning the knowledge base with texts, which could alleviate the problem of lacking of large-scale corpus in Tibetan.And a Tibetan entity relation extraction model based on multi-level attention fusion mechanism was proposed.The self-attention was added to extract internal features of words in word level.The selective attention mechanism could assign weights of each instance, so as to make full use of informative sentences and reduce weights of noisy instances.Meanwhile, a joint score function was introduced to correct wrong labels, and neural network was combined with support vector machine to extract relations.Experimental results show that the proposed model can effectively improve the accuracy of Tibetan entity relation extraction, and is better than the baseline.…”
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Analysis of human brain RNA-seq data reveals combined effects of 4 types of RNA modifications and 18 types of programmed cell death on Alzheimer’s disease by Ke Ye, Xinyu Han, Mengjie Tian, Lulu Liu, Xu Gao, Qing Xia, Dayong Wang

“…Programmed cell death is closely related to neuronal death and associated with neuronal loss and cognitive function changes in AD. However, the mechanism of their joint action on AD remains unknown and requires further exploration. …”
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Decoding and generating synergy-based hand movements using electroencephalography during motor execution and motor imagery by Dingyi Pei, Ramana Vinjamuri

“…Brain-machine interfaces (BMIs) have proven valuable in motor control and rehabilitation. …”
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Unlocking Gait Analysis Beyond the Gait Lab: High-Fidelity Replication of Knee Kinematics Using Inertial Motion Units and a Convolutional Neural Network by Stefano A. Bini, MD, Nicholas Gillian, PhD, Thomas A. Peterson, PhD, Richard B. Souza, PhD, PT, Brooke Schultz, MS, ACE-CPT, Wojciech Mormul, MS, Marek K. Cichoń, MS, Agnieszka Barbara Szczotka, MS, Ivan Poupyrev, PhD

“…Conclusions: The findings highlight the potential of leveraging raw data from wearable inertial sensors and machine learning algorithms to reproduce gait lab-quality kinematic data outside the laboratory settings for the study of knee function following joint injury, surgery, or the progression of joint disease.…”
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Core-Sheath Structured Yarn for Biomechanical Sensing in Health Monitoring by Wenjing Fan, Cheng Li, Bingping Yu, Te Liang, Junrui Li, Dapeng Wei, Keyu Meng

“…The rapidly evolving field of functional yarns has garnered substantial research attention due to their exceptional potential in enabling next-generation electronic textiles for wearable health monitoring, human–machine interfaces, and soft robotics. …”
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3D Printing parameter optimisation combined with heat treatment for achieving high density and enhanced performance in refractory high-entropy alloys by Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang, Lai-Chang Zhang, Kuaishe Wang, Wen Wang, Lechun Xie, Liqiang Wang, Weijie Lu, Di Zhang

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Innovative Design Method for Lingnan Region Veranda Architectural Heritage (Qi-Lou) Facades Based on Computer Vision by Qiang Tang, Liang Zheng, Yile Chen, Junming Chen, Shuai Yang

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A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments by Gabriel Loewinger, Erjia Cui, David Lovinger, Francisco Pereira

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Gradient Boosting-Based Simultaneous Classification and Regression Approach by Rawabi Alwanin, Ouiem Bchir, Mohamed Maher Ben Ismail

“…The optimization of this dual task is formulated using a novel joint cost function that minimizes the total error of both classification and regression tasks during the learning phase. …”
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Identification and validation of CKAP2 as a novel biomarker in the development and progression of rheumatoid arthritis by Qiongbing Zheng, Qiongbing Zheng, Youmian Lan, Jiexin Chen, Ling Lin, Ling Lin

“…BackgroundRheumatoid arthritis (RA) is a common chronic joint disease. However, many patients exhibit inadequate responses to treatment due to disease heterogeneity. …”
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Distributed MIMO Networks With Rotary ULAs for Indoor Scenarios Under Rician Fading by Eduardo N. Tominaga, Onel L. A. Lopez, Tommy Svensson, Richard D. Souza, Hirley Alves

“…Considering a spatially correlated Rician fading model, the optimal angular position of the RULAs is jointly computed by the central processing unit using particle swarm optimization as a function of the location of the active devices. …”
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Tracking Long-Term Ozone Pollution Dynamics in Chinese Cities with Meteorological and Emission Attribution by Hongrui Li, Xiaoyong Liu, Zijian Liu, Mengyang Li, Tong Wu, Peicheng Li, Peng Zhou

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Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours by Surbhi Mishra, Mysore Vishakantegowda Tejesvi, Jenni Hekkala, Jenni Turunen, Niyati Kandikanti, Anna Kaisanlahti, Marko Suokas, Sirpa Leppä, Pia Vihinen, Hanne Kuitunen, Kaisa Sunela, Jussi Koivunen, Arja Jukkola, Ilja Kalashnikov, Päivi Auvinen, Okko-Sakari Kääriäinen, T. Peñate Medina, O. Peñate Medina, Juha Saarnio, Sanna Meriläinen, Tero Rautio, Raila Aro, Reetta Häivälä, Juho Suojanen, Mikael Laine, Pande Putu Erawijattari, Leo Lahti, Peeter Karihtala, Terhi S. Ruuska, Justus Reunanen

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Tracking green space along streets of world cities by Giacomo Falchetta, Ahmed T Hammad

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Design and Evaluation of ADANet: A High-Fidelity Motion Acquisition Framework for Assistive Gesture-Based Interfaces by Md Ettashamul Haque, Atique Tajwar, Akm Azad, Salem A. Alyami, Md Mehedi Hasan

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Cognitive constraints and lexicogrammatical variability in ASD: from diagnostic discriminators to intervention strategies by Sumi Kato, Sumi Kato, Kazuaki Hanawa

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