Leveraging Artificial Intelligence and Clinical Laboratory Evidence to Advance Mobile Health Applications in Ophthalmology: Taking the Ocular Surface Disease as a Case Study by Mini Han Wang, Yi Pan, Xudong Jiang, Zhiyuan Lin, Haoyang Liu, Yunxiao Liu, Jiazheng Cui, Jiaxiang Tan, Chengqi Gong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Moawiya Haddad, Marion Schindler, José Lopes Camilo Da Costa Alves, Junbin Fang, Xiangrong Yu, Kelvin Kam‐Lung Chong

“…Using Python's Matplotlib for visualization and SPSS for statistical analysis, this study introduces an innovative proof‐of‐concept framework leveraging quantitative AI analysis to address critical challenges in ophthalmology. …”
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Development and validation of a machine learning-based risk prediction model for stroke-associated pneumonia in older adult hemorrhagic stroke by Yi Cao, Yi Cao, Haipeng Deng, Shaoyun Liu, Xi Zeng, Yangyang Gou, Weiting Zhang, Yixinyuan Li, Hua Yang, Min Peng

“…ObjectiveTo develop and validate a machine learning (ML)-based model for predicting stroke-associated pneumonia (SAP) risk in older adult hemorrhagic stroke patients.MethodsA retrospective collection of older adult hemorrhagic stroke patients from three tertiary hospitals in Guiyang, Guizhou Province (January 2019–December 2022) formed the modeling cohort, randomly split into training and internal validation sets (7:3 ratio). …”
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Mediastinal lymph node dissection effectiveness in patients with I stage of non-small cell lung cancer by A. P. Kolesnik

“…The aim of the study was to conduct the effectiveness analysis of different volume of lymph dissection of mediastinum in patients with Stage I non-small cell lung cancer (NSCLC). Materials and methods. Study was conducted in the Thoracic Surgery department of Zaporizhzhya Regional Clinically Oncologic Dispensary. 133 patients with Stage I NSCLC were included from December 2008 till January 2013. …”
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Privatization in Romania – A Challenge both For the Government and For the Companies by Bogdan STICLOSU

“…However, excepting the last 3 years, this method has been underused unlike traditional methods. …”
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Interior Point Algorithm for Multi-UAVs Formation Autonomous Reconfiguration by Wang Jian-hong, Rana Javed Masood

“…After applying weighted sum method and separating all equality or inequality constraints, the former nonlinear multiobjective optimization problem can be converted into a standard nonlinear single objective optimization problem. …”
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The effect of the use of stylistic (training and reciprocal) in learning the skill of jumping on the jumping platform in the gymnastics of men by M.almutassim billah Waheib

“…The second method was used. The second method was used. Each group consisted of (12) students after the parity process. …”
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Smoothed per-tensor weight quantization: a robust solution for neural network deployment by Xin Chang

“…This paper introduces a novel method to improve quantization outcomes for per-tensor weight quantization, focusing on enhancing computational efficiency and compatibility with resource-constrained hardware. …”
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The Laplacian eigenmaps dimensionality reduction of fMRI data for discovering stimulus-induced changes in the resting-state brain activity by Nikita Pospelov, Alina Tetereva, Olga Martynova, Konstantin Anokhin

“…The principal component analysis (PCA) as a linear dimensionality reduction method showed significantly worse results than non-linear methods (Isomap, LLE, Laplacian eigenmaps). …”
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Optical Double Binary Amplitude Mask Structure for Security Authentication by Xiaogang Wang, Guoquan Zhou, Chaoqing Dai

“…A novel method for jointly designing two binary amplitude masks (BAMs) that allow for secure authentication is proposed. …”
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Panchromatic and Hyperspectral Image Fusion Using Ratio Residual Attention Networks by Fengxiang Xu, Nan Zhang, Zhenxiang Chen, Peiran Peng, Tingfa Xu

“…Experimental results demonstrate that, when evaluated on the EO-1 and Chikusei datasets, the proposed method outperforms other methods in terms of both visual quality and quantitative metrics, particularly in spatial detail clarity and spectral fidelity. …”
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MCRNet: Underwater image enhancement using multi-color space residual network by Ningwei Qin, Junjun Wu, Xilin Liu, Zeqin Lin, Zhifeng Wang

“…Consequently, our method outperforms state-of-the-art methods in both subjective visual comparison and objective evaluation metrics.…”
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Merge Operation Effect On Image Compression Using Fractal Technique by Baghdad Science Journal

“…Experimental results on standard images show that the proposed method yields minimize (decrease) the encoding time and remain the quality results passable visually.…”
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The Effect of Masterbatch Recipes on the Homogenization Properties of Injection Molded Parts by László Zsíros, Dániel Török, József Gábor Kovács

“…Unfortunately, there is no widespread method to objectively test visual appearance, such as color inhomogeneity of the parts or other surface defects. …”
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Ultrasonic Mammography with Circular Transducer Array by Krzysztof J. OPIELIŃSKI, Piotr PRUCHNICKI, Tadeusz GUDRA

“…In the paper, a new method of the projection imaging using a 1024-element circular ultrasonic transducer array was presented. …”
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Digital technology for spectral analysis of oscillation parameters by A. V. Gulaj, V. M. Zajcev

“…The objective of this work consists in creating a digital method for spectral analysis of vibration signals, the implementation of which would be possible with the use of smart devices. …”
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THE ORDINAL LOGISTIC REGRESSION MODEL WITH SAMPLING WEIGHTS ON DATA FROM THE NATIONAL SOCIO-ECONOMIC SURVEY by Reni Amelia, Indahwati Indahwati, Erfiani Erfiani

“…Ordinal logistic regression is a method describing the relationship between an ordered categorical response variable and one or more explanatory variables. …”
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Proximal <italic>LSSVR</italic> of Gauss-Laplacian With Mixed-Noise-Characteristics and Its Applications for Short-Term Wind-Speed Forecasting by Ting Zhou, Shiguang Zhang

“…It converts inequality constraint problems into simpler equality constraint problems and employs the Augmented Lagrange multiplier method to solve the proposed model. …”
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Autonomous adaptive optimization of NMR experimental conditions for precise inference of minor conformational states of proteins based on chemical exchange saturation transfer. by Takuma Kasai, Takanori Kigawa

“…Both simulations and actual measurements using the FF domain of the HYPA/FBP11 protein with the A39G mutation demonstrated that the adaptive method outperformed the conventional one in terms of estimation precision of minor-state parameters based on equal numbers of measurements. …”
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Chaotic Lightweight Cryptosystem for Image Encryption by Jannatul Ferdush, Mahbuba Begum, Mohammad Shorif Uddin

“…These criteria indicate an efficient image encryption method. Also, our method is efficient and less complex than the existing state-of-the-art methods.…”
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AI-Powered Synthesis of Structured Multimodal Breast Ultrasound Reports Integrating Radiologist Annotations and Deep Learning Analysis by Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, Kyu Ran Cho, Sung Eun Song

“…Key modules in our method include image classification using visual features (ICVF), type classification via deep learning (TCDL), and automatic report structuring and compilation (ARSC). …”
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