NIR‐I Activated Orthogonal NIR‐IIb/c Emissions in a Lanthanide‐Doped Nanoparticle for Fluorescence Imaging and Information Encryption by Qiqing Li, Yuanping Huang, Haoyu Zhu, Yaqi Zhu, Yuexi Yi, Xiaodan Li, Haoran Chen, Bin Li, Dabing Li, Yulei Chang

“…Abstract Applying the orthogonal principle for distinguishable second near‐infrared (NIR‐II) emissions has brought new dimensions for ratio fluorescence imaging (RFI) detection and information encryption, deepening the tissue detection depth and improving signal‐to‐noise ratio and information security. …”
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GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

“…Advancements in artificial intelligence (AI), specifically machine learning (ML) and deep learning (DL), offer promising solutions to these challenges. AI techniques can process large datasets with high accuracy, significantly improving the speed and precision of AD detection. …”
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Virtual Frisch grid perovskite CsPbBr3 semiconductor with 2.2-centimeter thickness for high energy resolution gamma-ray spectrometer by Haoming Qin, Bao Xiao, Xuchang He, Xiao Ouyang, Tingting Gao, Yuquan Wang, Luyao Wang, Qihao Sun, Nannan Shen, Xiaoping Ouyang, Yihui He

“…Abstract High intrinsic detection efficiency is as decisive as high energy resolution. …”
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Prevalence and Risk Factors for Colonization with Carbapenem-Resistant Microorganisms in Patients Admitted to a Multidisciplinary Hospital by O. G. Ni, B. Z. Belotserkovskiy, A. N. Kruglov, M. I. Matyash, A. O. Bykov, S. V. Yakovlev, E. M. Shifman, D. N. Protsenko

“…From a clinical perspective, the detection of nucleic acids by PCR can serve as an equivalent to pathogen detection in biological material. …”
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Hereditary Colorectal Cancer Syndromes: Small Bowel Cancer Risk and Endoscopic Surveillance Strategies by Edoardo Borsotti, Francesca Laura Nava, Felice Benedicenti, Laura Cini, Andrea Magarotto, Davide Ferrari, Paolo Cantù, Marco Vitellaro, Emanuele Rausa, Federica Cavalcoli

“…Centralized care in tertiary centers improves outcomes by ensuring standardized surveillance protocols and enhancing early cancer detection. Artificial intelligence (AI) applied to CE and DAE is shaping promising prospects for the future surveillance of small bowel polyps by enhancing diagnostic accuracy and reducing the duration of the diagnostic process. …”
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Metabolomic Insights into Smoking-Induced Metabolic Dysfunctions: A Comprehensive Analysis of Lipid and Amino Acid Metabolomes by Muhammad Amtiaz Aslam, Hajra Iqbal, Kainat Ilyas, Kanwal Rehman, Amjad Hussain, Muhammad Sajid Hamid Akash, Mudassar Shahid, Shuqing Chen

“…Background: Cigarette smoking is a leading cause of preventable mortality, largely due to the absence of effective, non-invasive biomarkers for early disease detection. Profiling serum metabolomics to identify metabolic changes holds the potential to accelerate the detection process and identify individuals at risk of developing smoking-related diseases. …”
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Psychological Safety in Saudi Arabian Healthcare: A Scoping Review by Yumna Ali, Roaya Alqurashi, Ahmed M. Asfahani, Mark Leonard, Catherine Elisa John, Yasuhiro Kotera

“…The aim of a scoping review is to detect potential research gaps. Presently, mindfulness-based programs relating to psychological safety are under-researched in the Saudi Arabian context, and a scoping review is a preliminary requirement before a formal systematic review is conducted. …”
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OpenPheno: an open-access, user-friendly, and smartphone-based software platform for instant plant phenotyping by Tianqi Hu, Peng Shen, Yongshuai Zhang, Jiafei Zhang, Xin Li, Chuanzhen Xia, Ping Liu, Hao Lu, Tingting Wu, Zhiguo Han

“…Results To respond to these challenges, we introduce OpenPheno, an open-access, user-friendly, and smartphone-based platform encapsulated within a WeChat Mini-Program for instant plant phenotyping. The platform is designed for ease of use, enabling users to phenotype plant traits quickly and efficiently with only a smartphone at hand. …”
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A Damage Classification Approach for Structural Health Monitoring Using Machine Learning by Diego Tibaduiza, Miguel Ángel Torres-Arredondo, Jaime Vitola, Maribel Anaya, Francesc Pozo

“…The principal goal for SHM is oriented to the development of efficient methodologies to process these data and provide results associated with the different levels of the damage identification process. …”
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AlexNet Convolutional Neural Network Architecture with Cosine and Hamming Similarity/Distance Measures for Fingerprint Biometric Matching by Ahmed Sabah Ahmed AL-Jumaili, Huda Kadhim Tayyeh, Abeer Alsadoon

“…The emergence of deep learning architectures such as the Convolutional Neural Network (CNN) has been extensively used for image processing and object detection tasks and showed an outstanding performance compared to traditional image filtering techniques. …”
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Changes of functional components, organic acid, antioxidant activity of heathy vinegar during the aging and its correlation analysis by HU Kun, LIANG Kai, LANG Fanfan, WANG Li, ZHOU Jingli, YAN Yufeng

“…The changes of antioxidant activity in vitro, functional components and organic acids contents during aging process were studied, the correlation between functional components, organic acids and antioxidant activity were analyzed, and principal component analysis (PCA) was performed based on the detection results. …”
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Blind Infrared Remote-Sensing Image Deblurring Algorithm via Edge Composite-Gradient Feature Prior and Detail Maintenance by Xiaohang Zhao, Mingxuan Li, Ting Nie, Chengshan Han, Liang Huang

“…In the blur kernel estimation process, we enhance the accuracy of the kernel by assigning effective edge information from the blurred image to the smoothed intermediate latent image, preserving critical structural details lost during the blurring process. …”
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A systematic review of Alzheimer's disease: exploring genetic and environmental risk factors, biomarkers, and future pharmacotherapy for cognitive decline and neurodegeneration by Debraj Dey, Deepannita Roy Mukherjee, Abu Shoeb, Pinki Biswas, Saikat Santra

“…A PRISMA flowchart illustrates the study selection process, ensuring transparency. Pharmaceutical and non-pharmacological interventions, along with multi-target therapeutic strategies, were critically analyzed. …”
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Nucleolar ribosomal RNA synthesis continues in differentiating lens fiber cells until abrupt nuclear degradation required for ocular lens transparency by Danielle Rayêe, U. Thomas Meier, Carolina Eliscovich, Aleš Cvekl

“…Here, using RNA fluorescence in situ hybridization (FISH), we evaluated nascent rRNA transcription, located in the nucleoli, during the process of mouse lens fiber cell differentiation. …”
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Optical Correction of Keratoconus with a Scleral Gas-Permeable Lenses by A. V. Myagkov, Yu. B. Slonimskiy, E. V. Belousova, T. S. Mitichkina, L. R. Bunyatova

“…The quality of visual functions depends on the stage of the process. There are 4 stages of keratoconus (according to M. …”
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Advances in Wearable Biosensors for Wound Healing and Infection Monitoring by Dang-Khoa Vo, Kieu The Loan Trinh

“…Wound healing is a complicated biological process that is important for restoring tissue integrity and function after injury. …”
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A Method for Solving LiDAR Waveform Decomposition Parameters Based on a Variable Projection Algorithm by Ke Wang, Guolin Liu, Qiuxiang Tao, Luyao Wang, Yang Chen

“…Light detection and ranging (LiDAR) is commonly used to create high-resolution maps; however, the efficiency and convergence of parameter estimation are difficult. …”
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A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis by Jie Xu, Erkang Jing, Yidong Chai

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Magnetic and pH-Sensitive dual actuation of biohybrid microswimmer of targeted drug release suitable for cancer cell microenvironment by Richa Chaturvedi, Yumin Kang, Yunji Eom, Sri Ramulu Torati, CheolGi Kim

“…The BMM was formed through a three-step process: firstly, bacterial surfaces were functionalized with biotinylated PEG which enables the bacteria to escape the phagocytosis process; secondly, the anticancer drug lenalidomide was PEGylated to enhance solubility; and finally, both complexes were conjugated via streptavidin-biotin interaction. …”
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Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

“…Abstract Plant disease identification and detection refer to the process of recognizing and diagnosing diseases that affect plants. …”
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