Diagnostic Efficacy of ¹²³Iodo-Metaiodobenzylguanidine SPECT/CT in Cardiac vs. Neurological Diseases: A Comparative Study of Arrhythmogenic Right Ventricular Cardiomyopa... by Johannes M. Hagen, Maximilian Scheifele, Mathias J. Zacherl, Sabrina Katzdobler, Alexander Bernhardt, Matthias Brendel, Johannes Levin, Günter U. Höglinger, Sebastian Clauß, Stefan Kääb, Andrei Todica, Guido Boening, Maximilian Fischer

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Intersecting impact of CAG repeat and huntingtin knockout in stem cell-derived cortical neurons by Jennifer T. Stocksdale, Matthew J. Leventhal, Stephanie Lam, Yu-Xin Xu, Yang Oliver Wang, Keona Q. Wang, Reuben Thomas, Zohreh Faghihmonzavi, Yogindra Raghav, Charlene Smith, Jie Wu, Ricardo Miramontes, Kanchan Sarda, Heather Johnston, Min-Gyoung Shin, Terry Huang, Mikelle Foster, Mariya Barch, Naufa Amirani, Chris Paiz, Lindsay Easter, Erse Duderstadt, Vineet Vaibhav, Niveda Sundararaman, Dan P. Felsenfeld, Thomas F. Vogt, Jennifer Van Eyk, Steve Finkbeiner, Julia A. Kaye, Ernest Fraenkel, Leslie M. Thompson

“…To understand the impact of the CAG repeat expansion, we evaluated biological signatures of HTT knockout (HTT KO) versus those that occur from the CAG repeat expansion by applying multi-omics, live cell imaging, survival analysis and a novel feature-based pipeline to study cortical neurons (eCNs) derived from an isogenic human embryonic stem cell series (RUES2). …”
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Soil Organic Carbon Monitoring and Modelling via Machine Learning Methods Using Soil and Remote Sensing Data by Dimitrios Triantakonstantis, Andreas Karakostas

“…Various ML models, including Neural Networks (NNs), Random Forests (RFs), Support Vector Machines (SVMs) and Decision Trees (DTs), were trained and evaluated using a dataset comprising soil laboratory data, Sentinel-2 spectral indices, climate data and topographic features. …”
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The Effect of Age on Agricultural Technology Adoption by Smallholder Farmers in Ethiopia: A Systematic Review and Meta-Analysis by Abera Ayalew, Yohannes Girma

“…It is concluded that building public social networking platforms, cooperative organizations, and mutual aid agencies within the community are crucial to supporting older farmers and reducing the negative effect of age on farmers’ agricultural technology adoption. …”
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A Lightweight CNN for Multi-Class Classification of Handwritten Digits and Mathematical Symbols by Nicholas Abisha, Tita Putri Redytadevi, Sri Nurdiati, Elis Khatizah, Mohamad Khoirun Najib

“…While deep learning, particularly Convolutional Neural Networks (CNNs), has significantly advanced handwriting recognition, many existing solutions rely on deep, resource-intensive architectures. …”
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Mathematical Model of Electromagnetic Transient for Superconducting Short-Circuit Current Limiter by Manusov V.Z., Pavlyuchenko D.A., Miheev P.A.

“…The important feature of the mathematical model is the consideration of the increase rate (inertia) of the inductive reactance with respect to the external network. …”
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The Emotional Component of Teaching RFL to Iranian Studentsas a Goal and Means of Achieving Optimal Results by Vajihe Rezvani, Alina A. Shuldishova

“…The survey was conducted in the context of the COVID-19 pandemic and focused on 1) determining the preferences given by students when choosing full-time or distance learning; 2) evaluating game tech-nologies (Role-playing), watching films, conducting discussions, staging performances by students; 3) evaluating the feasibility of using social networks and training programs, as well as the use of an interactive hybrid learning method. …”
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Estimating Perceptual Attributes of Haptic Textures Using Visuo-Tactile Data by Mudassir Ibrahim Awan, Seokhee Jeon

“…Finally, a deep learning architecture integrating a CNN-based autoencoder for visual feature learning and a ConvLSTM network for tactile data processing is trained to predict user-assigned attribute ratings. …”
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Exploring the mechanism of Lingbao Huxin Dan in the treatment of bradycardia based on atrioventricular node electrical signal conduction by Jing Zhang, Guobin Zheng, Shangjing Liu, Yaodong Miao, Shu Yang, Sheng Li, Zhihui Yang, Danping Zhuo, Rui Guo, Yang Guo, Rongjiang Shao, Yunqing Hua, Chuanrui Ma

“…The hearts and serum samples were collected to detect heart rate and related gene expression which were screened through network pharmacology analysis, as well as to evaluate the effect of Lingbao Huxin Dan on ion channels in the cardiac conduction system. …”
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European standard clinical practice recommendations for newly diagnosed ependymoma of childhood and adolescence by Alba Rubio-San-Simón, Timothy A. Ritzmann, Denise Obrecht-Sturm, Martin Benesch, Beate Timmermann, Pierre Leblond, John-Paul Kilday, Geraldina Poggi, Nicola Thorp, Maura Massimino, Marie-Lise van Veelen, Martin Schuhmann, Ulrich-Wilhelm Thomale, Stephan Tippelt, Ulrich Schüller, Stefan Rutkowski, Richard G. Grundy, Stephanie Bolle, Ana Fernández-Teijeiro, Kristian W. Pajtler

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Bi-Distance Approach to Determine the Topological Invariants of Silicon Carbide by Abid Mahboob, Muhammad Waheed Rasheed, Jalal Hatem Hussein Bayati, Iqra Hanif, Sajid Mahboob Alam

“…In this paper, well-known degree-based topological indices are used to analyze the chemical structures of silicon carbides. To evaluate the features of various chemical or non-chemical networks, a variety of topological indices are defined. …”
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Application of Machine Learning Techniques to Classify Twitter Sentiments Using Vectorization Techniques by Manjog Padhy, Umar Muhammad Modibbo, Rasmita Rautray, Subhranshu Sekhar Tripathy, Sujit Bebortta

“…The advancements in social networking have empowered open expression on micro-blogging platforms like Twitter. …”
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Deep learning based gasket fault detection: a CNN approach by S. Arumai Shiney, R. Seetharaman, V. J. Sharmila, S. Prathiba

“…Deep learning algorithms are specific for feature extraction and classification together with a convolutional neural network (CNN) module that allows for seamless connection. …”
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Zero-shot intelligent fault diagnosis via semantic fusion embedding by Honghua Xu, Zijian Hu, Ziqiang Xu, Qilong Qian

“…On the one hand, a novel semantic fusion embedding module is proposed to enhance the representability and adaptability of the feature learning across domains. On the other hand, a neural network-based metric module is designed to replace traditional distance measurements, enhancing the transferring capability between domains. …”
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Wearable Sensors and Computational Intelligence in Alpine Skiing Analysis by Ales Prochazka, Hana Charvatova

“…This paper focuses on motion analysis in alpine skiing using real accelerometric, gyroscopic, positioning, and video data to evaluate ski movement patterns. The proposed methodology employs functional transforms to estimate motion patterns and utilizes artificial intelligence for signal segmentation and feature classification related to lower limb movement. …”
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Effective Estimation of Hourly Global Solar Radiation Using Machine Learning Algorithms by Abdurrahman Burak Guher, Sakir Tasdemir, Bulent Yaniktepe

“…The performance of the estimation models was evaluated by comparing each model with different statistical indicators and with previous studies. …”
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MRD: A Linear-Complexity Encoder for Real-Time Vehicle Detection by Kaijie Li, Xiaoci Huang

“…To address these limitations, this study introduces Mamba RT-DETR (MRD), an optimized architecture featuring three principal innovations: (1) We devise an efficient vehicle detection Mamba (EVDMamba) network that strategically integrates a linear-complexity state space model (SSM) to substantially mitigate computational overhead while preserving feature extraction efficacy. (2) To counteract the constrained receptive fields and suboptimal spatial localization associated with conventional SSM sequence modeling, we implement a multi-branch collaborative learning framework that synergistically optimizes channel dimension processing, thereby augmenting the model’s capacity to capture critical spatial dependencies. (3) Comprehensive evaluations on the BDD100K benchmark demonstrate that MRD architecture achieves a 3.1% enhancement in mean average precision (mAP) relative to state-of-the-art RT-DETR variants, while concurrently reducing parameter count by 55.7%—a dual optimization of accuracy and efficiency.…”
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Adaptive Vision-Based Gait Environment Classification for Soft Ankle Exoskeleton by Gayoung Yang, Jeong Heo, Brian Byunghyun Kang

“…The proposed system employs YOLOv8 for real-time environment classification, combined with a long short-term memory (LSTM) network for spatio-temporal feature extraction, enabling the precise detection of environmental transitions. …”
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Attention-fused residual transformer CNN for robust lower limb movement recognition by A. Anitha, D. Jeraldin Auxillia

“…Conventional machine-learning approaches depend on manual feature extraction, which consumes more time and is susceptible to noise interference and class imbalance. …”
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Road Traffic Gesture Autonomous Integrity Monitoring Using Fuzzy Logic by Kwame Owusu Ampadu, Michael Huebner

“…The fuzzy logic-based system was implemented and evaluated on a self-organizing network comprising eight ESP32 microcontrollers, all operating under the same program. …”
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