Advances in Metasurface‐Based Terahertz Sensing by Jing Zhao, Lei Zhang, Huawei Liang

“…Abstract Terahertz (THz) technology has attracted significant attention because of its unique applications in biological/chemical sensing, medical imaging, non‐invasive detection, and high‐speed communication. Metasurfaces provide a dynamic platform for THz sensing applications, showcasing greater flexibility in design and the ability to optimize light‐matter interactions for specific target enhancements, which includes enhancing the intramolecular and intermolecular vibration modes of the target biological/chemical molecules, setting them apart from conventional approaches. …”
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Estimating the State of Charge in Lithium Primary Batteries: Recent Advances and Critical Insights by Sydney Roth, Daniel Wesolowski, David Schrock, Noah Schorr, Sakineh Chabi

“…In this review article, it is aimed to provide a comprehensive overview of recent advancements in SoC estimation for LPBs and generates new insights and directions for future research. Herein, existing methods are discussed and their effectiveness and mechanisms are identified, and areas for further optimization are outlined. …”
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Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks by Bo Yin, Yanbo Chen, Zufan Zhang, Mengjun Wang, Shaohui Sun

“…This paper proposes a mmWave massive MIMO beam selection algorithm based on the beam discovery signal (BDS), where each beam transmitted by the mmWave access point is identified by a specific BDS, and the best beam for the user equipment is then determined by detecting the BDS. In addition, in mmWave heterogeneous networks with densely deployed small cells, strong interference beams are determined through inter-cell cooperation, and orthogonal codes are allocated to the optimal beams and strong interference beams to reduce beam interference from adjacent cells. …”
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Evidence Generation for a Host-Response Biosignature of Respiratory Disease by Kelly E. Dooley, Michael Morimoto, Piotr Kaszuba, Margaret Krasne, Gigi Liu, Edward Fuchs, Peter Rexelius, Jerry Swan, Krzysztof Krawiec, Kevin Hammond, Stuart C. Ray, Ryan Hafen, Andreas Schuh, Nelson L. Shasha Jumbe

“…Methods: We hypothesized that the lungs act as biomechanical instruments, with infection altering tissue tension, wave propagation, and flow dynamics in ways detectable through subaudible vibroacoustic signals. …”
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Moving Target Geolocation and Trajectory Prediction Using a Fixed-Wing UAV in Cluttered Environments by Yong Zhou, Dengqing Tang, Han Zhou, Xiaojia Xiang

“…This algorithm not only facilitates the online recovery of the target’s motion trajectory but also enhances the UAV’s autonomy and decision-making capabilities. The proposed methods are validated through real flight experiments, demonstrating their effectiveness and feasibility.…”
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Abstract 033: Trends in Cerebral Angiogram Utilization for Patients with Infective Endocarditis: A Nationwide Analysis by Giana Dawod, Alis J. Dicpinigaitis, Paulina Díaz, Clinton Ehidom, Nicholas Janocko, Alexander E. Merkler

“…While less invasive neuroimaging is thought to suffice in detecting bleeds, DSAs remain more sensitive for IIA detection. …”
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Comparing and Combining Artificial Intelligence and Spectral/Statistical Approaches for Elevating Prostate Cancer Assessment in a Biparametric MRI: A Pilot Study by Rulon Mayer, Yuan Yuan, Jayaram Udupa, Baris Turkbey, Peter Choyke, Dong Han, Haibo Lin, Charles B. Simone

“…<b>Background:</b> Prostate cancer management optimally requires non-invasive, objective, quantitative, accurate evaluation of prostate tumors. …”
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Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study by Cheng-Fu Lin, Pei‐Jung Chang, Hui-Min Chang, Ching-Tsung Chen, Pi-Shan Hsu, Chieh-Liang Wu, Shih-Yi Lin

“…MethodsThe study was conducted at a medical center and its affiliated home health agency in central Taiwan from November 1, 2022, to October 31, 2023. …”
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Performance of PCA3 and TMPRSS2:ERG Within the Prostate Cancer Prevention Trial Risk Calculator Version 2 in a Lithuanian Cohort by Kemesiene J, Nicolau C, Cholstauskas G, Zviniene K, Lopeta M, Veneviciute S, Asmenaviciute I, Tamosauskaite K, Pikuniene I, Jievaltas M

“…This study seeks to overcome these limitations by assessing the integration of novel urinary biomarkers into established risk prediction models.Objective: This study aimed to evaluate the performance of incorporating urinary biomarkers – prostate cancer antigen 3 (PCA3) and transmembrane serine protease 2 (TMPRSS2) gene and ETS-related gene (ERG) fusion genes (T:E) – into the Prostate Cancer Prevention Trial Risk Calculator version 2 (PCPTRC2) in a Lithuanian cohort to enhance the detection of clinically significant prostate cancer (csPCa).Materials and methods: A single-centre prospective study included 246 men scheduled for initial prostate biopsy between January 2021 and August 2024 due to elevated total PSA levels or abnormal digital rectal examination (DRE). …”
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Leveraging FastViT based knowledge distillation with EfficientNet-B0 for diabetic retinopathy severity classification by Jyotirmayee Rautaray, Ali B.M. Ali, Meenakshi Kandpal, Pranati Mishra, Rzgar Farooq Rashid, Farzona Alimova, Mohamed Kallel, Nadia Batool

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Improving quantum metrology protocols with programmable photonic circuits by de las Heras Alberto Muñoz, Porras Diego, González-Tudela Alejandro

“…We show that while for Jaynes–Cummings non-linearities the interaction time grows with the photon number, for Kerr-type ones it decreases, favoring the scalability to big photon numbers. Finally, we also optimize different measurement strategies for the deterministically generated states based on photon-counting and homodyne detection.…”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Experimental evaluations demonstrate TANEA’s superior performance over traditional methods, achieving improved accuracy, reduced computational overhead, and faster convergence rates. …”
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Design of intelligent vehicular and sensor communication network: a comprehensive survey by Arslan Ahmed Amin, Ansa Mubarak, Habib Ulla Manzoor

“…The review also explores other Artificial Intelligence (AI) techniques used in fault-tolerant and intelligent communication methods, such as Kalman Filters, Particle Filters, and Fuzzy Logic Fusion. …”
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Risk and protective factors associated with adolescent depression in Singapore: a systematic review by Wei Sheng Goh, Jun Hao Norman Tan, Yang Luo, Sok Hui Ng, Mohamed Sufyan Bin Mohamed Sulaiman, John Chee Meng Wong, Victor Weng Keong Loh

“…This systematic review aims to identify the factors associated with adolescent depression in Singapore. Methods: A systematic search on the following databases was performed on 21 May 2020: PubMed, EMBASE and PsycINFO. …”
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Monitoring nociception in patients with morbid obesity undergoing bariatric surgery by Salvatore Fabrizio Favitta, Danilo Santolamazza, Ersilia Luca, Roberto De Cicco, Paola Aceto

“…An increasing number of monitoring methods have been approved in recent years, especially developed for the detection of intraoperative nociception to enable better control of opioid titration. …”
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Enhanced spectrum sensing for 5G and LTE signals using advanced deep learning models and hyperparameter tuning by Sally Mohamed Ali Elmorsy, Samah Mohamed Osman, Samah Adel Gamel

“…The research highlights that, through rigorous hyperparameter optimization, these models achieved substantial improvements in detection accuracy, reaching 97.3% and 98.2%, respectively, compared to initial performance levels of 93.0% and 95.0%. …”
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Fault Management in Speed Control Systems of Hydroelectric Power Plants Through Petri Nets Modeling: Case Study of the Alazán Power Plant, Ecuador by Cristian Fernando Valdez-Zumba, Luis Fernando Guerrero-Vásquez

“…Simulation results demonstrate the model’s effectiveness in significantly reducing diagnostic and intervention times compared to traditional methods. Results show that using Petri nets improves fault detection accuracy, accelerates decision-making, and optimizes resource allocation. …”
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Artificial intelligence and remote patient monitoring in US healthcare market: a literature review by Ayushmaan Dubey, Anuj Tiwari

“…ABSTRACTBackground: Artificial intelligence (AI) enables remote patient monitoring (RPM) which reduces costs by triaging patients to optimize hospitalization and avoid complications. The FDA regulates AI in medical devices and aims to ensure patient safety, effectiveness, and transparent AI solutions.Objectives: Identify and summarize FDA approved RPM devices to provide information for the US medical device industry based on previous approvals and the markets’ needs.Methods: We searched publicly available databases on FDA-approved RPM devices. …”
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Bio-inspired multispectral camouflage material for microwave, infrared, and visible bands based on single hierarchical metasurface by Liu Shiju, Zhou Congyang, Tan Ruiyang, Han Mengqi, Wu Zhijing, Chen Ping

“…Chameleons, jellyfish, and many other creatures use unique camouflage methods. Multispectral camouflage materials are highly desirable to against progressive multispectral detection. …”
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Ketosis of cattle: causes, consequences and prevention measures by S. V. Huralska, V. M. Olishevskyi

“…Based on the analysis of the works of leading scientists in this area, the main methods of diagnosing ketone bodies in blood, milk and urine are presented, as well as recommendations for the timely detection of latent forms of the disease. …”
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