Early Diagnosis of Knee Osteoarthritis With a Natural Language Processing–Driven Approach Based on Clinician Notes: Development and Validation Study by Narathip Thanyakunsajja, Kulsawasd Jitkajornwanich, Shan Xu, Donghee Shin, Pattama Charoenporn

“…Moreover, the diagnosis results can vary among physicians depending on their expertise. Previous studies mostly focused on using approaches, such as those involving artificial intelligence, to automatically detect knee OA through such data. …”
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Wireless Authentication Method Based on Near-Field Feature Fusion Network by QIU Jiefan, ZHOU Kezhong, ZHU Dongfu, ZHANG Jinhong, CHI Kaikai

“…ObjectiveMost existing WiFi-based authentication methods typically extract gait features from channel state information (CSI) obtained from reflected paths, neglecting the significant changes in CSI when users are in the line-of-sight (LOS) path. …”
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Design of a Miniaturized and Polarization-Independent Frequency-Selective Surface for Targeted EMI Shielding by Muhammad Idrees, Yejun He, Youquan Wen, Abdul Majeed

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Deep learning of the particulate and mineral-associated organic carbon fractions using a compositional transform and mid-infrared spectroscopy by Mingxi Zhang, Zefang Shen, Lewis Walden, Farid Sepanta, Zhongkui Luo, Lei Gao, Oscar Serrano, Raphael A. Viscarra Rossel

“…Previous spectroscopic modelling has mostly ignored the compositional nature of the SOC fractions (i.e. …”
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L’impérialisme humanitaire de Michael Ignatieff : le cas d’un « liberal hawk » by Pierre Guerlain

“…Michael Ignatieff, a former Harvard professor who is now active in Canadian politics, represents a school of thought which may be called humanitarian imperialism or liberal imperialism whose most famous representative in Europe is Bernard Kouchner. …”
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Quantum ensemble learning with a programmable superconducting processor by Jiachen Chen, Yaozu Wu, Zhen Yang, Shibo Xu, Xuan Ye, Daili Li, Ke Wang, Chuanyu Zhang, Feitong Jin, Xuhao Zhu, Yu Gao, Ziqi Tan, Zhengyi Cui, Aosai Zhang, Ning Wang, Yiren Zou, Tingting Li, Fanhao Shen, Jiarun Zhong, Zehang Bao, Zitian Zhu, Zixuan Song, Jinfeng Deng, Hang Dong, Pengfei Zhang, Wei Zhang, Hekang Li, Qiujiang Guo, Zhen Wang, Ying Li, Xiaoting Wang, Chao Song, H. Wang

“…Abstract Quantum machine learning is among the most exciting potential applications of quantum computing. …”
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Labor protests of employees of cultural organizations by Petr V. Bizyukov, Taisiya A. Vishnyakova

“…Healthcare professionals engage in the most protests (737 actions from 2008 to 2022), followed by education (319), and with the fewest protests occurring in the cultural sector (120). …”
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Noise-Robust Local Ternary Pattern Center for Noisy Texture Classification by Farhan A. Alenizi, Mokhtar Mohammadi, Mohammad Hossein Shakoor

“…Local Binary Pattern (LBP) has been widely used for texture analysis in machine vision and image processing. However, most of these descriptors provide a high number of features that are sensitive to noise and rotation. …”
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Mast cell hyperactivity as the factor in the pathogenesis of male infertility by N. G. Kulchenko

“…Most infertile men have significant amounts of significant amounts of mast cells in their ejaculate. …”
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Deep learning-integrated MRI brain tumor analysis: feature extraction, segmentation, and Survival Prediction using Replicator and volumetric networks by Deependra Rastogi, Prashant Johri, Massimo Donelli, Seifedine Kadry, Arfat Ahmad Khan, Giuseppe Espa, Paola Feraco, Jungeun Kim

“…Abstract The most prevalent form of malignant tumors that originate in the brain are known as gliomas. …”
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Tuberculosis detection with customized CNN and oversampling techniques: a deep learning approach by B. H. Shekar, Shazia Mannan

“…Tuberculosis has been with us since time immemorial, and although being treatable and curable, it remains one of the world’s most infectious malady, killing millions each year. …”
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…In addition, we developed a novel hybrid feature selection model that combined correlation filtering with mutual information, Cross-Validation (CV) along with Recursive Feature Eliminatio (RFE) (R, and stability selection to identify the most impactful features. Moreover, This study develops the proposed EffiXNet, a more refined version of EfficientNet augmented with self-attention mechanisms, dynamic convolutions, improved normalization methods, and Sparrow Search Optimization Algorithm for hyperparameter optimization. …”
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A systematic review on the associations between built environment and mental health among older people by Yongkang Chen, Lizhen Xu, Xiangfen Cui, Haoran Yang, Haoran Yang, Yiling Liu, Xin Gao, Jianhong Huang

“…The findings reveal that the GDS-15 scale is the most commonly used tool for assessing MH outcomes. …”
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Gradient-Controlled Gaussian Kernel for Image Inpainting by Hossein Noori

“…Image inpainting is the process of filling in damaged or missing regions in an image by using information from known regions or known pixels of the image. One of the most important techniques for inpainting is convolution-based methods, in which a kernel is convolved with the damaged image iteratively. …”
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AI in Endoscopic Gastrointestinal Diagnosis: A Systematic Review of Deep Learning and Machine Learning Techniques by Jovita Relasha Lewis, Sameena Pathan, Preetham Kumar, Cifha Crecil Dias

“…Gastrointestinal (GI) diseases are most common worldwide and the death rate can be reduced by early detection. …”
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Characteristics of symptomatic epilepsy and other neurological disorders in children with lissencephaly by V. I. Guzeva, I. V. Ochrim, V. R. Kasumov, O. V. Guzeva, V. V. Guzeva, N. E. Maksimova

“…Brain malformations are one of the most frequent causes of epilepsy in childhood. In patients with malformations of the brain epilepsy is diagnosed in 75–80% of cases. …”
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TERAHERTZ TRAVELING-WAVE TUBE ON A RECTANGULAR WAVEGUIDE FOLDED IN A CIRCULAR SPIRAL by A. A. Kurayev, V. V. Matveyenka

“…The most promising in the THz range is traveling-wave tubes (TWTs) and backward-wave tubes (BWTs) on a serpentine-curved (zigzag-rolled) rectangular waveguide. …”
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Multimodal deep learning for predicting neoadjuvant treatment outcomes in breast cancer: a systematic review by Eriseld Krasniqi, Lorena Filomeno, Teresa Arcuri, Gianluigi Ferretti, Simona Gasparro, Alberto Fulvi, Arianna Roselli, Loretta D’Onofrio, Laura Pizzuti, Maddalena Barba, Marcello Maugeri-Saccà, Claudio Botti, Franco Graziano, Ilaria Puccica, Sonia Cappelli, Fabio Pelle, Flavia Cavicchi, Amedeo Villanucci, Ida Paris, Fabio Calabrò, Sandra Rea, Maurizio Costantini, Letizia Perracchio, Giuseppe Sanguineti, Silvia Takanen, Laura Marucci, Laura Greco, Rami Kayal, Luca Moscetti, Elisa Marchesini, Nicola Calonaci, Giovanni Blandino, Giulio Caravagna, Patrizia Vici

“…Results Fifty-one studies, mostly retrospective (90.2%, median cohort 281), were included. …”
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IDNet: An inception-like deformable non-local network for projection compensation over non-flat textured surfaces. by Yuqiang Zhang, Huamin Yang, Cheng Han, Chao Zhang, Chao Xu, Shiyu Lu

“…Our experimental validation demonstrates that the proposed method achieves comparable compensation performance to existing approaches, particularly in the most challenging and geometrically complex edge regions of projected images.…”
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Theoretical Study of the Dissociative Recombination and Vibrational (De-)Excitation of HCNH⁺ and Its Isomers by Electron Impact by Mehdi Adrien Ayouz, Arnaud Buch

“…Protonated hydrogen cyanide, HCNH⁺, is one of the most important molecules of interest in the astrophysical and astrochemical fields. …”
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