A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging by Joy Chakra Bortty, Gouri Shankar Chakraborty, Inshad Rahman Noman, Salil Batra, Joy Das, Kanchon Kumar Bishnu, Md Tanvir Rahman Tarafder, Araf Islam

“…One of the major and primary challenges for preventing any disease is to identify the disease at the initial stage through a quick and reliable detection process. …”
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Open-Source High-Throughput Phenotyping for Blueberry Yield and Maturity Prediction Across Environments: Neural Network Model and Labeled Dataset for Breeders by Jing Zhang, Jerome Maleski, Hudson Ashrafi, Jessica A. Spencer, Ye Chu

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An Application of Deep Learning Models for the Detection of Cocoa Pods at Different Ripening Stages: An Approach with Faster R-CNN and Mask R-CNN by Juan Felipe Restrepo-Arias, María José Montoya-Castaño, María Fernanda Moreno-De La Espriella, John W. Branch-Bedoya

“…The refined models were then benchmarked against state-of-the-art YOLOv8 networks (YOLOv8x and YOLOv8l-seg). …”
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Standardization and validation of a novel reverse transcriptase polymerase chain reaction method for detecting virulent strains of the infectious bursal disease virus by Vladimir Longa-Bobadilla, Phillip Ormeño-Vásquez, Manuel Criollo-Orozco, Luis Tataje-Lavanda, Katherine Huamán-Gutierrez, Ángela Montalván, Mirko Zimic, Manolo Fernández-Sanchez, Manolo Fernández-Díaz

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TA-SSM net: tri-directional attention and structured state-space model for enhanced MRI-Based diagnosis of Alzheimer’s disease and mild cognitive impairment by Sichen Bao, Fengbo Zheng, Lifen Jiang, Qiuyuan Wang, Yong Lyu

“…To overcome this limitation, we propose TA-SSM Net, a deep learning model that leverages tri-directional attention and structured state-space model (SSM) for improved MRI-based diagnosis of AD and MCI. …”
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Detection of <i>M. tuberculosis</i> Using Cartridge-Based Technology in Patients with Negative Sputum Microscopy Results in a Regional Laboratory by P. I. Eliseev, E. I. Nikishova, A. Yu. Krupskaya, V. I. Shtraukh, E. S. Khimova, A. O. Maryandyshev

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Feature-informed machine learning for detecting material deformation and failure in aluminum pipes under bending load using acoustic emission sensors by Xiaowei Zuo, Nicholas Satterlee, Chang-Whan Lee, In-Gyu Choi, Choon-Wook Park, John S. Kang

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Efficient early-stage disease detection in pomegranate (Punica granatum) using convolutional neural networks optimized by honey badger optimization algorithm by Sameera P, Abhay A. Deshpande

“…To test the superiority of CNN-HBOA, early-stage disease detection was performed with existing state-of-the-art classifiers. …”
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GA-AGN: A generative adversarial network and attention gated network model for enhanced lung cancer detection using chest CT scans by Shenson Joseph, Herat Joshi, Meetu Malhotra, Shazia Fathima, Madhao Wagh, Kirankumar Kulkarni, Somya Singh, Onkar Mayekar, Mehedi Hassan

“…The overall analysis states that the proposed model attained better outcomes than the conventional models.…”
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OCT4 translationally promotes AKT signaling as an RNA-binding protein in stressed pluripotent stem cells by Wenjie Chen, Xinyu Chen, Cheng Chen, Shiqi She, Xia Li, Lina Shan, Xiaobing Zhang, Songsong Dan, Yisha Wang, Yan-Wen Zhou, Qingyi Cao, Wenxin Wang, Jianwen Hu, Yaxun Wei, Yaqiang Xue, Yi Zhang, Songying Zhang, Ying-Jie Wang, Bo Kang

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A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data by Linlin Jiang, Yizhen Wu, Junru Wang, Huiran Han, Kaifang Shi

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A synergistic approach for enhanced eye blink detection using wavelet analysis, autoencoding and Crow-Search optimized k-NN algorithm by M. Chandralekha, N. Priyadharshini Jayadurga, Thomas M. Chen, Mithileysh Sathiyanarayanan, Kasif Saleem, Mehmet A. Orgun

“…Abstract This research endeavor introduces a state-of-the-art, assimilated approach for eye blink detection from Electroencephalography signals. …”
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Current landscape of cancer genomics research in sub-Saharan Africa – a review of literature by Lemchukwu C. Amaeshi, Kehinde S. Okunade, Kehinde S. Okunade, Rose I. Anorlu, Rose I. Anorlu

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Possibilities of detecting and correcting decreased heart rate variability in patients with coronary artery disease in combination with depressive disorders in a cardiology departm... by T. G. Nonka, E. V. Lebedeva, A. N. Repin

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Effect of Steel Fiber on First-Cracking Behavior of Ultra-High-Performance Concrete: New Insights from Digital Image Correlation Analysis by Xing Lu, Lei Tu, Chengjun Tan, Hua Zhao

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Dynamic Adjacency Matrix Learning and Multi-Order Random Walk Aggregation for Alzheimer&#x2019;s Disease Diagnosis From Resting-State fMRI by Zhaoyang Guan, Jierui Li, Yuxin Liu, Xianrui Shan

“…In this paper, we propose a Dynamic Multi-Scale Brain Network (DMSBN) model based on resting-state fMRI, which improves the discriminative ability and biological interpretability of the model through dynamic adjacency matrix learning and multistage stochastic wandering aggregation mechanism. …”
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Laboratory Detection of the Methoxymethyl Radical, CH3OCH2, Using Faraday Rotation and Chirped-pulse Techniques in the (Sub)millimeter Wave Range by Rosemonde Chahbazian, Marie-Aline Martin-Drumel, Olivier Pirali

“…To support the search for RDME in space, we present the laboratory detection of its pure rotational spectrum in the vibronic ground state. …”
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Enhanced OCV Estimation in LiFePO4 Batteries: A Novel Statistical Approach Leveraging Real-Time Knee/Elbow Detection by Teodor-Iulian Voicila, Bogdan-Adrian Enache, Vasilis Argyriou, Panagiotis Sarigiannidis, Mihai-Alexandru Pisla, George-Calin Seritan

“…By utilizing the voltage at the knee/elbow point and the initial voltage, the model accurately computes the OCV at the stabilization point. …”
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Detection of sub-clinical CWD infection in conventional test-negative deer long after oral exposure to urine and feces from CWD+ deer. by Nicholas J Haley, Candace K Mathiason, Mark D Zabel, Glenn C Telling, Edward A Hoover

“…PrP(CWD) was amplified from both lymphoid and neural tissues of positive control deer but not from identical tissues of negative control deer.<h4>Discussion</h4>Detection of subclinical infection in deer orally exposed to urine and feces (1) suggests that a prolonged subclinical state can exist, necessitating observation periods in excess of two years to detect CWD infection, and (2) illustrates the sensitive and specific application of sPMCA in the diagnosis of low-level prion infection. …”
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Single-Task Joint Learning Model for an Online Multi-Object Tracking Framework by Yuan-Kai Wang, Tung-Ming Pan, Chi-En Hu

“…A key innovation is the refined tracker initialization strategy that combines detection and tracklet confidence, which significantly reduces the number of false positives and ID switches. …”
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