The JWST Early Release Science Program for Direct Observations of Exoplanetary Systems. III. Aperture Masking Interferometric Observations of the Star HIP 65426 at 3.8 μm by Shrishmoy Ray, Steph Sallum, Sasha Hinkley, Anand Sivaramkrishnan, Rachel Cooper, Jens Kammerer, Alexandra Z. Greebaum, Deeparshi Thatte, Tomas Stolker, Cecilia Lazzoni, Andrei Tokovinin, Matthew de Furio, Samuel Factor, Michael Meyer, Jordan M. Stone, Aarynn Carter, Beth Biller, Andrew Skemer, Genaro Suárez, Jarron M. Leisenring, Marshall D. Perrin, Adam L. Kraus, Olivier Absil, William O. Balmer, Anthony Boccaletti, Mariangela Bonavita, Mickael Bonnefoy, Mark Booth, Brendan P. Bowler, Zackery W. Briesemeister, Marta L. Bryan, Per Calissendorff, Faustine Cantalloube, Gael Chauvin, Christine H. Chen, Elodie Choquet, Valentin Christiaens, Gabriele Cugno, Thayne Currie, Camilla Danielski, Trent J. Dupuy, Jacqueline K. Faherty, Michael P. Fitzgerald, Jonathan J. Fortney, Kyle Franson, Julien H. Girard, Carol A. Grady, Eileen C. Gonzales, Thomas Henning, Dean C. Hines, Kielan K. W. Hoch, Callie E. Hood, Alex R. Howe, Markus Janson, Paul Kalas, Grant M. Kennedy, Matthew A. Kenworthy, Pierre Kervella, Masayuki Kuzuhara, Anne-Marie Lagrange, Pierre-Olivier Lagage, Kellen Lawson, Ben W. P. Lew, Michael C. Liu, Pengyu Liu, Jorge Llop-Sayson, James P. Lloyd, Bruce Macintosh, Sebastian Marino, Mark S. Marley, Christian Marois, Raquel A. Martinez, Brenda C. Matthews, Elisabeth C. Matthews, Dimitri Mawet, Johan Mazoyer, Michael W. McElwain, Stanimir Metchev, Michael R. Meyer, Brittany E. Miles, Maxwell A. Millar-Blanchaer, Paul Molliere, Sarah E. Moran, Caroline V. Morley, Sagnick Mukherjee, Paulina Palma-Bifani, Eric Pantin, Polychronis Patapis, Simon Petrus, Laurent Pueyo, Sascha P. Quanz, Andreas Quirrenbach, Isabel Rebollido, Jea Adams Redai, Bin B. Ren, Emily Rickman, Matthias Samland, Joshua E. Schlieder, Glenn Schneider, Karl R. Stapelfeldt, Motohide Tamura, Xianyu Tan, Taichi Uyama, Arthur Vigan, Malavika Vasist, Johanna M. Vos, Kevin Wagner, Jason J. Wang, Kimberly Ward-Duong, Niall Whiteford, Schuyler G. Wolff, Kadin Worthen, Mark C. Wyatt, Marie Ygouf, Xi Zhang, Keming Zhang, Zhoujian Zhang, Yifan Zhou, Alice Zurlo, B. A. Sargent, Christopher A. Theissen, Elena Manjavacas, Anna Lueber, Daniel Kitzmann, Ben J. Sutlieff, Sarah K. Betti

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Effect of lncRNA H19 on Rats with Chronic Heart Failure Based on TGF-β1/Smad3 Signaling Pathway by WANG Lingyan, CAO Guojun, MEI Yang, ZHANG Bin, ZHOU Shijing

“…ObjectiveTo explore the effect of long non-coding RNA H19 (lncRNA H19) and microRNA (miRNA)-200a on cardiac function and myocardial fibrosis in rats with chronic heart failure based on transforming growth factor-β1 (TGF-β1)/Smad homolog 3 (Smad3) signaling pathway.MethodsA total of 60 clean grade adult healthy male SD rats were randomly divided into sham surgery group and model group. …”
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High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion by Zhongqiang Song, Jiahao Shen, Qiaoyi Liu, Wanyue Zhang, Ziqian Ren, Kaiwen Yang, Xinle Li, Jialei Liu, Fengming Yan, Wenqiang Li, Yuqing Xing, Lili Wu

“…Compared with the model excluding the RK50 module, the mAP50 improved by 2.9%, and its performance in detecting small-target honeydew significantly surpassed mainstream algorithms. …”
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Urinary miRNA Expression in Pre-Eclampsia During Early and Mid-Pregnancy by Roman A. Illarionov, Anastasia R. Maltseva, Olga V. Pachuliia, Tatiana B. Postnikova, Elena S. Vashukova, Anastasiia K. Popova, Yulia A. Nasykhova, Olesya N. Bespalova, Andrey S. Glotov

“…<b>Background:</b> Pre-eclampsia (PE) is a serious condition affecting 2–8% of pregnancies worldwide, leading to high maternal and fetal morbidity and mortality. MicroRNAs (miRNAs), small non-coding RNA molecules, have emerged as potential biomarkers for various pregnancy-related pathologies, including PE. …”
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Role of Compensatory miRNA Networks in Cognitive Recovery from Heart Failure by Verena Gisa, Md Rezaul Islam, Dawid Lbik, Raoul Maximilian Hofmann, Tonatiuh Pena, Dennis Manfred Krüger, Susanne Burkhardt, Anna-Lena Schütz, Farahnaz Sananbenesi, Karl Toischer, Andre Fischer

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Targeting microRNA methylation: Innovative approaches to diagnosing and treating hepatocellular carcinoma by Albert Sufianov, Murad Agaverdiev, Andrey Mashkin, Tatiana Ilyasova

“…Emerging research has underscored the vital role of microRNAs (miRNAs)—small, non-coding RNA molecules that play a pivotal part in the post-transcriptional regulation of gene expression. …”
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High-accuracy parameter estimation algorithm for spread spectrum signal in LEO satellite communication by JIN Lei, ZENG Fuhua, GU Liyan, WANG Yuan

“…A high-accuracy parameter estimation algorithm for spread spectrum signal based on interpolated correct pseudo-code phase and carrier frequency was proposed. Firstly, the comparative detection with correlation integral peak and adaptive detection threshold was employed to acquire correlation integral peak/side-peak and its pseudo-code phase/carrier frequency index. …”
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Validation of a rapid biomarker assay for lung cancer using the IntelliPlex panel by Sandra Satie Koide, Breno Jeha Araújo, Juliana Doblas Massaro, Renata de Godoy e Silva, Rodrigo Dienstmann, Fernanda Christtanini Koyama Ribeiro

“…Abstract A large proportion of non-small-cell lung cancer (NSCLC) patients harbor clinically actionable genomic alterations, detected in general by broad Next-Generation Sequencing (NGS) panels, since it is the gold standard test and strongly recommended by different societies. …”
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Automated characterisation of cerebral microbleeds using their size and spatial distribution on brain MRI by Vaanathi Sundaresan, Giovanna Zamboni, Robert A. Dineen, Dorothee P. Auer, Stamatios N. Sotiropoulos, Nikola Sprigg, Mark Jenkinson, Ludovica Griffanti

“…Abstract Cerebral microbleeds (CMBs) are small, hypointense hemosiderin deposits in the brain measuring 2–10 mm in diameter. …”
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Control de configuraciones peligrosas en instalaciones con riesgo asociado // Hazardous configurations control in risk related facilities by Antonio Torres - Valle

“…<strong><span style="font-family: Arial; font-size: small;"><strong><span style="font-family: Arial; font-size: small;"><p>Resumen</p></span></strong></span></strong><span style="font-family: Arial; font-size: x-small;"><span style="font-family: Arial; font-size: x-small;"><p>El control de configuraciones peligrosas en instalaciones con riesgo asociado es una aplicación de</p><p>los Análisis Probabilistas de Seguridad (APS) previos de las mismas. …”
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A Survey of SNP Data Analysis by Xiaojun Ding, Xuan Guo

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Feasibility of logical Bell state generation in memory assisted quantum networks by Vladlen Galetsky, Nilesh Vyas, Alberto Comin, Janis Nötzel

“…We simulate the protocols using realistic experimental parameters, including ion trap memories, noisy optical channels, frequency conversion, and nondestructive detection of photonic qubits. The study evaluates rotated and planar surface codes alongside Bacon-Shor codes for small code distances (d=3,5) under depolarizing and physical noise models. …”
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Implementation of the Wobbling Technique with Spatial Resolution Enhancement Approach in the Xtrim-PET Preclinical Scanner: Monte Carlo Simulation and Performance Evaluation by Bahador Bahadorzadeh, Reza Faghihi, Sedigheh Sina, Ahdiyeh Aghaz, Arman Rahmim, Mohammad Reza Ay

“…Materials and Methods: The gantry wobbling was evaluated using the Gate Monte Carlo code. To prevent image blurring during gantry wobbling, all locations detected in the 3D output were corrected in the sinogram matrix according to the coincidence time of annihilation photons and the gantry motion. …”
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DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation by Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang

“…Recently, deep neural networks have been widely applied to enhance the speed and precision of ICH detection yet they are still challenged by small or subtle hemorrhages. …”
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MAT-PointPillars: Enhanced PointPillars algorithm based on multi-scale attention mechanisms and transformer. by Xinpeng Yao, Peiyuan Liu, Jingmei Zhou, Zijian Wang, Songhua Fan, Yuchen Wang

“…Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”
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Break location influence in pressure vessel SBLOCA scenarios by María Lorduy, Andrea Querol, Sergio Gallardo, Gumersindo Verdú

“…The evolution of these defects could have resulted in Small Break Loss-Of-Coolant Accidents (SBLOCA) if they had not been detected in time. …”
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Multi-scale window transformer for cervical cytopathology image recognition by Jiaxiang Yi, Xiuli Liu, Shenghua Cheng, Li Chen, Shaoqun Zeng

“…Cervical cancer is a major global health issue, particularly in developing countries where access to healthcare is limited. Early detection of pre-cancerous lesions is crucial for successful treatment and reducing mortality rates. …”
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Anisotropic flexible stress sensors based on Loofah/CN/MWCNTs by 刘璐, 贾晓丽, 黄书童, 张景龙, 李守宝, 柯燎亮

“…The flexible stress sensor successfully generated Morse code signals and enabled real-time detection of human joint movements, indicating its potential applications in encrypted communication and medical rehabilitation. …”
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Electrochemical Strategies for MicroRNA Quantification Leveraging Amplification and Nanomaterials: A Review by Alexander Hunt, Gymama Slaughter

“…MicroRNAs (miRNAs) are small, non-coding RNAs that regulate gene expression and have emerged as critical biomarkers in various diseases, including cancer. …”
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Modelling of circumferential surface topography of grinding wheel with random distribution of circular truncated cone abrasive grains by Xiaodong CHEN, Dexiang WANG, Feng GUO, Xinming LI, Jingliang JIANG

“…Based on the phenomenon that the grinding particle size and the protrusion height both follow the normal distribution law, the normrnd function is used to generate circular truncated grinding particles with randomly distributed positions on the grinding wheel circumferential surface. Then, a collision detection method is used to check whether there is interference between the abrasive grains, that is, the distance between the centers of the small circular surfaces of any two adjacent truncated cone abrasive grains should be greater than or equal to the sum of the radii of the large circular surfaces of the two abrasive grains. …”
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