Prediction of Atmospheric Bioaerosol Number Concentration Based on PKO–AGA–SVM Fusion Algorithm and Fluorescence Lidar Telemetry by Zhimin Rao, Yicheng Li, Jiandong Mao, Hu Zhao, Xin Gong

“…In order to realize early warning prediction of the distribution characteristics of atmospheric bioaerosol content, this paper proposes using fluorescence lidar as a technical means to establish a prediction model of atmospheric bioaerosol concentration by obtaining the observation data set of bioaerosol concentration, combining it with the data set of atmospheric environmental parameters related to bioaerosol content, and utilizing the fusion algorithm PKO–AGA–SVM. …”
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Optimized T7 Amplification System for Microarray Analysis by C. Pabón, Z. Modrusan, M.V. Ruvolo, I.M. Coleman, S. Daniel, H. Yue, L.J. Arnold, M.A. Reynolds

“…Statistical analysis of differential expression ratios showed the lower limit of detection to be about 2-fold within and between amplified data sets, and about 3-fold when comparing amplified data to unamplified data (99.5% confidence).…”
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Distribution of High-risk Human Papillomavirus Genotypes in Cervical Smear Samples and Evaluation of ASC-US, LSIL, and HSIL Results by Eylul Beren Tanik, Ayfer Bakir, Tugba Taskin Turkmenoglu, Gul Erdem

“…Aims:This study aims to assess HPV positivity rates, age distribution, genotyping in abnormal cytologies, and then obtain regional epidemiological data. Settings and Design:Descriptive study. Materials and Methods:This study included 3510 women aged ≥18, whose cervical smear samples were examined at the Microbiology Laboratory. …”
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Multi-View Robust Tensor-Based Subspace Clustering by Esraa M. Al-Sharoa, Mohammad A. Al-Wardat

“…The proposed method is applied to several real-world data sets and the results show that the proposed method achieves the best performance compared to other state-of-the-art algorithms.…”
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Source-Free Model Transferability Assessment for Smart Surveillance via Randomly Initialized Networks by Wei-Cheng Wang, Sam Leroux, Pieter Simoens

“…This task is particularly challenging in smart surveillance settings, where both source data and labeled target data are typically unavailable. …”
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Trends in the epidemiology of chronic kidney disease in patients with diabetes in Russian Federation according to the Federal diabetes register (2010–2022) by M. S. Shamkhalova, O. K. Vikulova, A. V. Zheleznyakova, M. A. Isakov, M. V. Shestakova, I. I. Dedov, N. G. Mokrysheva

“…There is the CKD prognosis calculator in the FRD, which allows assessing the risk of developing of pathology within 5 years in a particular patient based on a set of the most significant predictors, which included 6 factors for T1 and 11 factors for T2. …”
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Application of deep learning convolutional neural networks to identify gastric squamous cell carcinoma in mice by Yuke Ren, Yuke Ren, Shuangxing Li, Di Zhang, Yongtian Zhao, Yanwei Yang, Guitao Huo, Xiaobing Zhou, Xingchao Geng, Zhi Lin, Zhe Qu

“…After scanning into digital slides, semi-automated data annotation was performed. All images underwent preprocessing, including tissue extraction, artifact removal, and exclusion of normal epithelial regions. …”
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Advancing molecular diagnostics of myotonic dystrophy type 1 using short-read whole genome sequencing by Ingrid Lojova, Marcel Kucharik, Zuzana Pös, Andrej Balaz, Andrea Zatkova, Eva Tothova Tarova, Jaroslav Budis, Ludevit Kadasi, Tomas Szemes, Jan Radvanszky

“…In addition, WGS enables the identification of genetic modifiers in other genes and the detection of alternative diagnoses in DM1-negative patients by extension of the bioinformatic evaluation of the generated data.…”
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Using short tandem repeat profiling to validate cell lines in biobanks by E. N. Kosobokova, A. A. Malchenkova, N. A. Kalinina, V. S. Kosorukov

“…With this approach, a number of polymorphic STR loci are amplified using commercially available primer sets. Polymerase chain reaction (PCR) products are analyzed simultaneously with size standards using automated fluorescent detection methods. …”
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Developing a Sleep Algxorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study by Jeffrey M Cochran

“…ObjectiveThe goal of this study was to develop a PSG-validated sleep algorithm using accelerometer (ACC) and electrocardiogram (ECG) data from a wearable patch to accurately quantify sleep in a real-world setting. …”
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An Improved DoH Traffic Classification Method for XGboost by LI Bo, WEN Xueyan, XU Kesheng, ZHAO Yonghui

“… Encrypted traffic has become the main traffic in the Internet, and its classification has always been one of the research hotspots.Aiming at the problems of accurate identification of DoH(DNS-over-HTTPS) traffic in the current network, slow processing speed and low detection efficiency, a dimension reduction method based on truncated singular value decomposition (TSVD) is proposed.Improved limit gradient boosting tree (IXGboost) with Bayesian optimization method for DoH Flow classification.This method classifies encrypted traffic into non-DOH traffic, benign DoH traffic and malicious DoH traffic by exposing data sets over the network.Experimental results show that the classification accuracy of the proposed method is more than 99%, and the processing time of each data is only 0.3ms, which proves that the proposed method has high accuracy and strong real-time performance, improves the performance of intrusion detection, and can effectively achieve accurate classification of DoH traffic.…”
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Advanced hybrid deep learning model for enhanced evaluation of osteosarcoma histopathology images by Arezoo Borji, Arezoo Borji, Arezoo Borji, Gernot Kronreif, Bernhard Angermayr, Bernhard Angermayr, Sepideh Hatamikia, Sepideh Hatamikia

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Automated Alerts Systems for Pediatric Sepsis Patients: A Systematic Review by Mahmasoni Masdar, Ariani Arista Putri Pertiwi, Tiara Royani, Nana Caterina Sandi, Muhammad Ulin Nuha, Fransiska Regina Cealy, Alessandra Hernanda Soselisa, Suprihatiningsih Suprihatiningsih, Desi Dwi Siwi Atika Dewi

“…Artificial intelligence can improve sepsis detection by triggering alerts based on patient data. …”
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Establishment of a wastewater-based surveillance network to support infectious disease surveillance in South Africa by Ms Sibonginkosi Maposa, Dr Mukhlid Yousif, Ms Chenoa Sankar, Mr Victor Vusi Mabasa, Ms Nosihle Msomi, Mr Emmanuel Phalane, Mr Sipho Gwala, Ms Mokgaetji Macheke, Ms Natasha Singh, Ms Kathleen Subramoney, Ms Phindile Ntuli, Mr Nkosenhle Ndlovu, Mr Thabo Mangena, Ms Mantshali Motloung, Mr Lethabo Monametsi, Ms Lebohang Rabotapi, Ms Fiona Els, Dr Said Rachida, Ms Sibonginkosi Maposa, Dr Kerrigan McCarthy

“…Methods: A surveillance network comprising 48 wastewater treatment plant (WWTP) and district sampling sites, with a minimum of once weekly sampling, was set up across 9 provinces in South Africa. Samples are collected according to standard procedures, maintained at 40C and transported to the NICD laboratory, In the laboratory, samples undergo concentration, storage of residual concentrate, RNA extraction, PCR detection and quantification. …”
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The Role of Cystatin C in the Prediction of Contrast-Induced Acute Kidney Injury Following Coronary Procedures: A Systematic Review by Azad Mojahedi, Andreas P. Kalogeropoulos, On Chen, Hal Skopicki

“…Data extraction followed a standardized charting method, focusing on key findings from the selected studies. …”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…The system consists of multiple mobile robot platforms, each equipped with a robotic manipulator, a simulated RGB-D camera, and a 2D LiDAR sensor on the mobile base, facilitating task coordination, object detection, and advanced collision avoidance within a simulated warehouse setting. …”
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Quantitative somatosensory assessments in patients with persistent pain following groin hernia repair: A systematic review with a meta-analytical approach. by Akhmedkhan Dubayev, Elisabeth Kjær Jensen, Kenneth Geving Andersen, Martin F Bjurström, Mads U Werner

“…Following thresholds were significantly increased: mechanical detection thresholds for punctate stimuli (mean difference (95% CI) 3.3 (1.6, 6.9) mN (P = 0.002)), warmth detection thresholds (3.2 (1.6, 4.7) °C (P = 0.0001)), cool detection thresholds (-3.2 (-4.9, -1.6) °C (P = 0.0001)), and heat pain thresholds (1.9 (1.1, 2.7) °C (P = 0.00001)). …”
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Hybrid intelligence systems for reliable automation: advancing knowledge work and autonomous operations with scalable AI architectures by Allan Grosvenor, Anton Zemlyansky, Abdul Wahab, Kyrylo Bohachov, Aras Dogan, Dwyer Deighan

“…Scalability is a cornerstone, with the distributed training pipeline achieving linear scaling across 2,000 compute nodes for AI model training, while secure model aggregation incurs less than 4% latency in cross-domain settings.DiscussionBy blending symbolic precision with data-driven adaptability, this hybrid intelligence system offers a robust, transferable framework for automating complex knowledge work in domains like space operations and engineering simulations—and adjacent applications such as autonomous energy and industrial facility operations, paving the way for next-generation industrial AI systems.…”
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rangr: An R package for mechanistic, spatially explicit simulation of species range dynamics by Katarzyna Markowska, Katarzyna Malinowska, Lechosław Kuczyński

“…Finally, we used the virtual ecologist framework to determine the timeframe required to detect the spread of an invasive species. The rangr package, which comes with extensive documentation and vignettes, is easy to set up, flexible, fast, fully configurable and capable of emulating the observation process. …”
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Participant recruitment and retention in randomised controlled trials of melanoma surveillance: A scoping review by Deonna M. Ackermann, Karen Bracken, Jolyn K. Hersch, Monika Janda, Robin M. Turner, Katy J.L. Bell

“…Eligibility criteria included: (i) RCT design, (ii) clinical setting, (iii) participants at increased risk of melanoma, (iv) interventions for early melanoma detection, and (v) early detection outcomes or surrogates such as improved skin self-examination. …”
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