Rapid-Response and Highly Sensitive Boronate Derivative-Based Fluorescence Probe for Detecting H2O2 in Living Cells by Muthusamy Selvaraj, Kanagaraj Rajalakshmi, Yun-Sik Nam, Yeonhee Lee, Byoung Chan Kim, Sung Jin Pai, Sang Soo Han, Kang-Bong Lee

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U-net based approach for pectoralis muscle segmentation in digital mammography by Francesca Angelone, Alfonso Maria Ponsiglione, Roberto Grassi, Francesco Amato, Mario Sansone

“…This study aims to propose an automatic breast segmentation algorithm that combines traditional methods with Deep Learning methods limited only to the border region between the muscle and the breast. …”
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GLAAM and GLAAI: Pioneering attention models for robust automated cataract detection by Deepak Kumar, Chaman Verma, Zoltán Illés

“…Methods:: Two deep learning models, Global–Local Attention Augmented MobileNet (GLAAM) and Global–Local Attention Augmented InceptionV3 (GLAAI), were developed to enhance the analysis of fundus images. …”
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Multiscale guided attention network for optic disc segmentation of retinal images by A Z M Ehtesham Chowdhury, Andrew Mehnert, Graham Mann, William H. Morgan, Ferdous Sohel

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Increased functional potency of multi-edited CAR-T cells manufactured by a non-viral transfection system by Aine O’Sullivan, Sarah Case, Aisling McCrudden, Emer Hackett, Louise Gallagher, Darren Martin, Gillian P. Johnson, Kirti Mahadik, Thomas Kienzle, Jude Kevin Lim, Aya Nashat, Kartik Srinivasan, Mark W. Lowdell, Lisa O’Flynn, Jamie Frankish

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Characterization of VSV-GP morphology by cryo-EM imaging and SEC-MALS by Dongyue Xin, Leela Kurien, Katherine Briggs, Adrian Schimek, Richard Dambra, Daniel Hochdorfer, Tanja A. Arnouk, Marija Brgles, Saurabh Gautam, Dominik Hotter, Johannes Solzin, Thomas Kriehuber, Joseph Ashour, Adam Vigil, Michael Hawley, Xiaorong He

“…In this work, cryoelectron microscopy (cryo-EM) imaging was employed to directly visualize VSV-GP particles. Several different subpopulations of virus particle morphology were observed. …”
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Bystander editing by adenine base editors impairs vision restoration in a mouse model of Leber congenital amaurosis by Seok-Hoon Lee, Jun Wu, Dongjoon Im, Gue-ho Hwang, You Kyeong Jeong, Hui Jiang, Seok Jae Lee, Dong Hyun Jo, William A. Goddard, III, Jeong Hun Kim, Sangsu Bae

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Label-free classification of growth-arrested state of cells by quantitative phase microscopy in fixative-treated cells by Mazaya Najmina, Nicholaus Kevin Tanjaya, Satoshi Ishii, Koichiro Uto

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AAV capsids target muscle-resident cells with different efficiencies—A comparative study between AAV8, AAVMYO, and AAVMYO2 by Timothy J. McGowan, Nicolas Lewerenz, Eleonora Maino, Marco Thürkauf, Lena Jörin, Markus A. Rüegg

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Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning by Kentaro Kutsukake, Takefumi Kamioka, Kota Matsui, Ichiro Takeuchi, Takashi Segi, Takuo Sasaki, Seiji Fujikawa, Masamitu Takahasi

“…Non-negative matrix factorization (NMF), an unsupervised machine learning method, was performed on 961 patterns obtained by spatial mapping of micro-beam X-ray diffraction measurements. …”
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A multiplexing system for quantifying oxygen fractionation factors in closed chambers by C. Paul, C. Piel, J. Sauze, O. Jossoud, A. Dapoigny, D. Romanini, F. Prié, S. Devidal, R. Jacob, A. Milcu, A. Milcu, A. Landais

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Development of a compact near-infrared lamp furnace for synchrotron powder diffraction and its application for in situ high-temperature observation of ferrite magnets by Shintaro Kobayashi, Shogo Kawaguchi

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PERBAIKAN KONTRAS CITRA MAMMOGRAM PADA KLASIFIKASI KANKER PAYUDARA BERDASARKAN FITUR GRAY-LEVEL CO-OCCURRENCE MATRIX by Febri Liantoni, Agus Santoso

“… In this era to recognize breast tumors can be based on mammogram images. This method will expedite the process of recognition and classification of breast cancer. …”
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Relevance Vector Machines for Enhanced BER Probability in DMT-Based Systems by Ashraf A. Tahat, Nikolaos P. Galatsanos

“…A new channel estimation method for discrete multitone (DMT) communication system based on sparse Bayesian learning relevance vector machine (RVM) method is presented. …”
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Topology and Control Strategy of Power Electronic Traction Transformer for High Power Vehicle by ZHAO Lu, GE Qiongxuan, LI Yaohua

“…Resonant PR controller was used to realize the unit power factor operation, and adaptive equalization control strategy of capacitor voltage and output power were realized based on the module voltage ranking method. …”
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Demultiplexing in mode-division multiplexing system using multichannel blind deconvolution by Li Yan, Guijun Hu

“…We propose a mode demultiplexing method based on multichannel blind deconvolution (MBD) for a mode-division multiplexing (MDM) system. …”
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Blind-Matched Filtering for Speech Enhancement with Distributed Microphones by Sebastian Stenzel, Jürgen Freudenberger

“…A multichannel noise reduction and equalization approach for distributed microphones is presented. …”
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Enhanced Retinal Vessel Segmentation Using Dynamic Contrast Stretching and Mathematical Morphology on Fundus Images by El-Mehdi Chakour, Yasmine Mrad, Anass Mansouri, Yaroub Elloumi, Idriss Benatiya Andaloussi, Mohamed Hedi Bedoui, Ali Ahaitouf

“…This enhancement is achieved using the DCS method, which is compared to two widely used contrast enhancement techniques: adaptive histogram equalization (AHE) and contrast-limited adaptive histogram equalization (CLAHE). …”
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Joint Optimal Train Rescheduling and Passenger Flow Control for Speed Limit and High-Demand Scenarios of Urban Rail Transits by Jianjun Yuan, Xiaoqun Zhao, Pengzi Chu

“…The two-stage approach has certain advantages over the direct computing method. The methods in this paper have a guiding value for emergency decision-making in similar delay scenarios.…”
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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

“…Here, we propose a quantum data visualization method using quantum kernels, which enables us to offer fast and highly accurate visualization of quantum states. …”
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