High performance of a novel point-of-care blood test for Toxoplasma infection in women from diverse regions of Morocco by Bouchra El Mansouri, Fatima Amarir, François Peyron, El Bachir Adlaoui, Raphaël Piarroux, Joseph Lykins, Majda El Abbassi, Nesma Nekkal, Nadia Bouhlal, Kamar Makkaoui, Amina Barkat, Aziza Lyaghfouri, Ying Zhou, Samira Rais, Mounia Oudghiri, Ismail Elkoraichi, Mustapha Zekri, Nezha Belkadi, Hajar Mellouk, Mohamed Rhajaoui, Allal Boutajangout, Abderrahim Sadak, Denis Limonne, Rima McLeod, Kamal El Bissati

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The Incidence of Central Serous Chorioretinopathy after Photorefractive Keratectomy and Laser In Situ Keratomileusis by Majid Moshirfar, Maylon Hsu, Julia Schulman, Joseph Armenia, Shameema Sikder, M. Elizabeth Hartnett

“…We report the first 2 CSCR cases developing within one month after PRK. The low incidence argues against a causal association. …”
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IL-6 and Olfactory Dysfunction: Focus on Changes, Effects, and Mechanisms by Xiao-Yu Song, Ya-Kui Mou, Han-Rui Wang, Yao Wang, Wan-Chen Liu, Ting Yang, Cai-Yu Sun, Chao Ren, Xi-Cheng Song

“…Currently, the diagnosis of olfactory disorders in clinical practice mostly relies on subjective visual analog scale (VAS) evaluations, expensive and complex imaging, and neurophysiological examinations, which lead to poor patient compliance and low completion rates. …”
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EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning by Gabriella Miles, Melvyn Smith, Nancy Zook, Wenhao Zhang

“…The results of this showed that convolutional neural networks were able to achieve an accuracy of 87.5% when distinguishing between eye movement under low and high cognitive load, and 76% when distinguishing between the oldest and youngest age groups.…”
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Pulmonary valve endocarditis in the setting of a patent ductus arteriosus: A rare clinical case by Lamassab Nour El Houda, Noha El Ouafi, Nabila Ismaili

“…Despite clear imaging, the diagnosis was initially delayed due to the low index of suspicion and the unusual location of the infection. …”
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Portable cotton swab biosensor for rapid naked-eye detection of Helicobacter pylori by Ghadeer.A.R.Y. Suaifan, Asmaa Alnajajrah, Ward Abu Jbara, Amr A. El-Mousa, Fahid Abu Jbara, Doha A.I. Al-Omari, Mayadah B. Shehadeh

“…In response to this need, a colorimetric cotton swab biosensor was designed to enable visual detection of H. pylori presence or absence. …”
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Clinical characteristics of peripheral exudative hemorrhagic chorioretinopathy easily misdiagnosed at initial presentation in Korean patients by Hansang Lee, Young Je Choi, Seung Min Lee, Junwon Lee, Eun Young Choi, Min Kim

“…The most common initial symptom was decreased visual acuity, followed by floaters and visual field defects, while 26% of patients reported no ocular symptoms. …”
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Research on Parametric Modeling and Model Transformation of Proton Hospital Based on BIM by Shoufu Li, Tao Yu, Yang Liu, Yan Li, Bo Lei, Wenjing Qiao, Yuyan Zhang

“…Aiming at problems such as difficulty and low efficiency in modeling complex building structures in Revit and Abaqus, Revit and Dynamo visual programming modeling were used to realize rapid parametric modeling of structures, and a Revit–Abaqus model conversion interface was developed. …”
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Printed Optoelectronic Memories Using Gr/WS2 Nanostructured Composite Ink for Retina‐Inspired Vision Persistent Synapses by Jiahui Bai, Qiuyan Wang, Qiaoqiao Zheng, Dong Liu, Hongbing Zhan, Renjing Xu, Jiajie Pei

“…Devices print using this ink demonstrated the ability to store visual information in both single‐pulse and multi‐pulse modes, reflecting potential applications in retina‐inspired visual persistence and neuromorphic computing. …”
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Artificial intelligence in pediatric osteopenia diagnosis: evaluating deep network classification and model interpretability using wrist X-rays by Chelsea E. Harris, Lingling Liu, Luiz Almeida, Carolina Kassick, Sokratis Makrogiannis

“…Osteopenia is a bone disorder that causes low bone density and affects millions of people worldwide. …”
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Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment by Ao Li, Yu Ding, Xunjiang Zheng, Deyun Chen, Guanglu Sun, Kezheng Lin

“…To address this problem, in this paper, we develop a novel cross-view discriminative feature subspace learning method inspired by layered visual perception from human. Firstly, the proposed method utilizes a separable low-rank self-representation model to disentangle the class and view structure layers, respectively. …”
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GPPK4PCM: pest classification model integrating growth period prior knowledge by Jianhua Zheng, Junde Lu, Yusha Fu, Ruolin Zhao, Jinfang Liu, Zhaoxi Luo, Zhijie Luo

“…The model is composed of three sub-modules where: i) A deep learning network first identifies the growth periods of pests, and this prior knowledge is then used to guide the text encoder of the CLIP pre-trained model in generating period-specific textual features. ii) A parallel deep learning network extracts visual features from pest images. iii) An efficient low-rank multimodal fusion module integrates textual and visual features through parameter-optimized tensor decomposition, significantly improving classification accuracy across pest developmental phases. …”
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Neuropsychological profiles of patients suffering from hallucinogen persisting perception disorder (HPPD): A comparative analysis with psychedelic-using and non-using controls by Georg Leistenschneider, Tomislav Majić, Simon Reiche, Thomas G. Riemer

“…Abstract Classic psychedelics like LSD and psilocybin are showing promising effects in treating certain psychiatric disorders. Despite their low toxicity and lack of an addictive potential, in some individuals, psychedelics can be associated with persisting psychological harms. …”
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Spectral Domain Optical Coherence Tomography in Diffuse Unilateral Subacute Neuroretinitis by Carlos Alexandre de A. Garcia Filho, Ana Claudia Medeiros de A. G. Soares, Fernando Marcondes Penha, Carlos Alexandre de Amorim Garcia

“…This thinning in RNFL and CMT may reflect the low visual acuity in patients with DUSN.…”
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BLE Signal Processing and Machine Learning for Indoor Behavior Classification by Yi-Shiun Lee, Yong-Yi Fanjiang, Chi-Huang Hung, Yung-Shiang Huang

“…While video-based methods provide accurate behavior analysis, privacy concerns drive interest in non-visual alternatives. This study proposes a Bluetooth Low Energy (BLE)-enabled indoor positioning and behavior recognition system, integrating machine learning techniques to support sustainable and privacy-preserving health monitoring. …”
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Integration of drone and machine learning technology for predicting power infrastructure faults efficiently by WT Alshaibani, Ibraheem Shayea, Ramazan Caglar, Tareq Babaqi

“…As a proof of concept, YOLO V8 was employed to predict electrical faults in insulators, achieving a box loss of 0.525, a classification loss of 0.3887, and a precision of 0.8976, demonstrating high accuracy and low loss.…”
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Dynamic Bearing–Angle for Vision-Based UAV Target Motion Analysis by Yu Luo, Hongwei Fu, Tingting Fu, Hao Cha, Bing Tian, Huatao Tang, Feng Liu

“…By adjusting the noise covariance matrix in real time and assigning low weights to the outlier observations using the Huber weight function, the Dynamic Bearing–Angle algorithm is able to effectively cope with non-Gaussian noise and sudden target maneuvers. …”
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Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation by Hanbyol Jang, Kihun Bang, Jinseong Jang, Dosik Hwang

“…In modern digital photographs, most images have low dynamic range (LDR) formats, which means that the range of light intensities from the darkest to the brightest is much lower than the range that can be perceived by the human eye. …”
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Memristor-Based Spiking Neuromorphic Systems Toward Brain-Inspired Perception and Computing by Xiangjing Wang, Yixin Zhu, Zili Zhou, Xin Chen, Xiaojun Jia

“…At the system level, we summarize bio-inspired neuromorphic platforms integrating TSM neurons with visual, tactile, thermal, and olfactory sensors, achieving real-time edge computation with high accuracy and low power. …”
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Ghost Discrimination Method for Broadband Direct Position Determination Based on Frequency Coloring Technology by Mengling Yu, Long Yang, Yixin Yang, Xionghou Liu, Lu Wang

“…It can effectively distinguish multiple targets even at a low SNR level, a significant improvement compared with the original DPD. …”
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