Thymic characteristics in patients with autoimmune diseases: a multicentre radiological observational studyResearch in context by Haoxiao Chang, Junqiang Yan, Anxin Wang, Ningning Wang, Peng Liu, Yemin Shi, Xin Zhao, Jinqiao Zhu, Yuan Cai, Xue Xia, Yunyi Hao, Shiyi Yin, Jing Wang, Xinli Wang, Lina Sun, Jia Ma, Xiaoyu Huang, Haonan Guan, De-Cai Tian, Kaibin Shi, Ganqin Du, Wenhao Huang, Guoyan Qi, Hao Li, Yongjun Wang, Fu-Dong Shi, Zhang Zhang, Wei-Na Jin

“…Participants underwent a routine CT examination, and baseline information on demographic, clinical, and potential risk factors was gathered at the time of enrollment. A semi-automatic algorithm was developed and employed for the analysis of thymic radiological characteristics, encompassing structural features and density. …”
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Operational evaluation of the deployment of Malaria/CRP Duo and Dengue Duo rapid diagnostic tests for the management of febrile illness by village malaria workers in rural Cambodia by Marc T. Visser, Dysoley Lek, Bipin Adhikari, Arjun Chandna, Moul Vanna, Sam Ol, Voeurng Bunreth, Chan Davoeung, Yok Sovann, Dafne Umans, Yoel Lubell, Rusheng Chew, Richard J. Maude, Rob W. van der Pluijm, Rupam Tripura, Naomi Waithira, Siv Sovannaroth, Michèle van Vugt, Lorenz von Seidlein, Mavuto Mukaka, Arjen Dondorp, Thomas J. Peto, James J. Callery

“…Results Between June 2022, and May 2023, a total of 2,425 febrile patients were assessed with either a Malaria/CRP Duo or Dengue Duo RDT. …”
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Real-Time Fire Object Detection System Using Machine Learning by Akuthota Venkata Bhargavi., Syed Khadar Basha., Ramineni Dhanush., Guduru Vikram.

“…This paper introduces a fire object detection system that employs machine learning algorithms to enhance early detection of fire breakout and response to the same. …”
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microRNA-183–5p induces cell density-dependent apoptosis through the regulation of Presenilin 2 by Yuki Yabuuchi, Yosuke Matsuno, Kai Yazaki, Wei Zhen Ting, Kengo Nishino, Sosuke Matsumura, Kenya Kuramoto, Kazufumi Yoshida, Masashi Matsuyama, Takumi Kiwamoto, Yuko Morishima, Nobuyuki Hizawa

“…Cells undergo apoptosis under dense culture condition to maintain homeostasis. Impaired apoptosis may contribute to the excessive accumulation of pathogenetic cells in such diseases as cancer and organ fibrosis. …”
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Automated Foveal Avascular Zone Segmentation in Optical Coherence Tomography Angiography Across Multiple Eye Diseases Using Knowledge Distillation by Peter Racioppo, Aya Alhasany, Nhuan Vu Pham, Ziyuan Wang, Giulia Corradetti, Gary Mikaelian, Yannis M. Paulus, SriniVas R. Sadda, Zhihong Hu

“…Typically, segmentation algorithms make use of convolutional neural networks and, more recently, vision transformers, which make use of both long-range context and fine-grained detail. …”
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The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

“…Moreover, challenges such as algorithmic bias, generalizability across diverse populations, and the necessity for clinician training must be carefully considered. …”
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Towards Early Fault Tolerance on a 2×N Array of Qubits Equipped with Shuttling by Adam Siegel, Armands Strikis, Michael Fogarty

“…However in the near future, it may prove less challenging to develop lower-dimensional structures. …”
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Conformal prediction for uncertainty quantification in dynamic biological systems. by Alberto Portela, Julio R Banga, Marcos Matabuena

“…As an alternative, we propose using conformal predictions methods and introduce two novel algorithms designed for dynamic biological systems. …”
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Signal Quality Index Estimator for Complex-Lead type ECG beat detectors by Hintermüller Christoph, Blessberger Hermann, Steinwender Clemens

“…It provides insight into the different phases of the heart beat and various kinds of disorders which may affect them. In the past decades various algorithms to detect and delineate ECG beats have been developed. …”
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Using the power of artificial intelligence to improve the diagnosis and management of nonmelanoma skin cancer by Fahimeh Abdollahimajd, Fatemeh Abbasi, Alireza Motamedi, Narges Koohi, Reza Mohamoud Robati, Mona Gorji

“…Building patient trust is also essential for the successful implementation of AI in the clinical settings. AI algorithms may outperform experts in controlled environments but can fall short in the real-world clinical applications, indicating a need for more prospective studies to evaluate their effectiveness in the practical scenarios. …”
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Energy-Saving Techniques in the Next Generation of Mobile Communication Networks by Viroslava Kapustynska

“…Most often, base stations always operate at full capacity, but there are statistics that show that the flow of base station clients is not always the same, so energy consumption may be managed. It was found that cell zooming algorithms that mostly consider client flow can save 14–80% of base station power consumption; however, not all studies pay attention to the quality of service. …”
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Sparse Learning of the Disease Severity Score for High-Dimensional Data by Ivan Stojkovic, Zoran Obradovic

“…Learning disease severity scores automatically from collected measurements may aid in the quality of both healthcare and scientific understanding. …”
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Plasma FGF2 and YAP1 as novel biomarkers for MCI in the elderly: analysis via bioinformatics and clinical study by Yejing Zhao, Yejing Zhao, Xiang Wang, Jie Zhang, Yanyan Zhao, Yi Li, Ji Shen, Ying Yuan, Jing Li

“…Therefore, the high expression of plasma FGF2 and YAP1 proteins may be independent predictive risk factors for MCI in the elderly. …”
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An International Longitudinal Natural History Study of Patients With Danon Disease: Unique Cardiac Trajectories Identified Based on Sex and Heart Failure Outcomes by Kimberly N. Hong, Emily Eshraghian, Tarek Khedro, Alessia Argirò, Jennifer Attias, Garrett Storm, Melina Tsotras, Tanner Bloks, Isaiah Jackson, Elijah Ahmad, Sharon Graw, Luisa Mestroni, Quan M. Bui, Jonathan Schwartz, Stuart Turner, Eric D. Adler, Matthew Taylor

“…Correlations between structural cardiac dysfunction and disease progression may permit risk stratification, refinement of treatment algorithms, and inform therapeutic trial design. …”
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Application of neural network technology for public opinion analysis by Kyrylo Perevoznyk, Yurii Parzhyn

“…The research is devoted to studying and using neural network technologies, in particular algorithms and methods of natural language processing, to increase the efficiency of studying and analyzing public opinion of Ukraine’s partner countries regarding the war in Ukraine. …”
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System Maintainability Estimation with Multi-Peak Time Distribution based on the Bayesian Melding Method by Pei Mochao, Hao Jianping, Gao Cuijuan

“…In some test phases of equipment, the small sample size of test data and the absence of some maintenance operations may lead to a multi-peak phenomenon in data distribution, which is a challenge for Bayesian information fusion based on maintainability assessment. …”
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An Approximate Bayesian Inference for Beta Regression Models by kobra Gholizadeh Gazvar, Mohsen Mohammadzadeh

“…But in problems dealing with data such as the rate or ratio of an event distributed in the (0,1) interval, these models may provide out-of-range predictions for the response variable. …”
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ESTIMATES OF REACHABLE SETS OF CONTROL SYSTEMS WITH BILINEAR–QUADRATIC NONLINEARITIES by Tatiana F. Filippova, Oksana G. Matviychuk

“…Basing on the techniques of approximation of the generalized trajectory tubes by the solutions of control systems without measure terms and using the techniques of ellipsoidal calculus we present here a state estimation algorithms for the studied nonlinear impulsive control problem bilinear-quadratic type.…”
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Unveiling psychobiological correlates in primary Sjögren’s syndrome: a machine learning approach to determinants of disease burden by László V. Módis, László V. Módis, András Matuz, András Matuz, Zsófia Aradi, Ildikó Fanny Horváth, Antónia Szántó, Antal Bugán

“…Three machine learning algorithms were trained to predict outcome variables, first by each measure category, then on the entire set of predictor variables. …”
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Interrelationships Between Inflammatory Score, Delayed Cerebral Ischemia and Unfavorable Outcome in Patients with aSAH: A Four-Way Decomposition by Zhang P, Zhu H, Li X, Qian Y, Zhu Y, Zhang W, Yan Z, Ni H, Lin Z, Lin X, Li Z, Zhuge Q, Zeng B

“…The effect of high inflammatory score on poor outcome may be partly explained by DCI, where there is both pure mediation and mediated interaction. …”
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