Autonomous Search of Real-Life Environments Combining Dynamical System-Based Path Planning and Unsupervised Learning by Uyiosa Philip Amadasun, Patrick Mcnamee, Zahra Nili Ahmadabadi, Peiman Naseradinmousavi

“…This suggests that CCPP may be more adaptive to increasing environmental size and complexity, despite having longer absolute coverage times. …”
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Primary Care Physician Use of Elastic Scattering Spectroscopy on Skin Lesions Suggestive of Skin Cancer by Stephen P. Merry, Ivana T. Croghan, Kimberly A. Dukes, Brian C. McCormick, Gerard T. Considine, Michelle J. Duvall, Curtis T. Thompson, David J. Leffell

“…Objectives: To evaluate the performance of noninvasive, elastic scattering spectroscopy, algorithm-powered device (DermaSensor) to detect melanoma and basal and squamous cell cancers in the primary care setting. …”
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A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Mingxin Zhu, Yongxuan Yao, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

“…We then conduct a comparative analysis of the parameter optimization results of DWFO and seven other state-of-the-art algorithms across six different photovoltaic models. …”
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Integrating machine learning and genetic evidence to uncover novel gene biomarkers for colorectal cancer diagnosis by Li Zhou, Lihua Yu, Mingjing Liao, Tingting Peng, Leilei Zhang, Chengyun Han, Yuan Li, Jiwang Zhang

“…Notably, the glmBoost + RF algorithm identified an eight-gene diagnostic model with high precision, pinpointing key genes such as CLDN1, IFITM1, and FOXQ1, which exhibited strong diagnostic performance (AUC > 0.9). …”
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Measuring and valuing health-related quality of life among children and adolescents in mainland China--a pilot study. by Fei Xu, Gang Chen, Katherine Stevens, HaiRong Zhou, ShengXiang Qi, ZhiYong Wang, Xin Hong, XuPeng Chen, HuaFeng Yang, ChenChen Wang, Julie Ratcliffe

“…CHU9D-CHN utility scores were generated by employing two scoring algorithms currently available for the instrument, the first derived from UK adults utilising the standard gamble (SG) valuation method and the second derived from Australian adolescents utilising the best-worst scaling (BWS) method.…”
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Edge-preserving filter with adaptive gradient optimization by Wanshu Fan, Zhixun Su, Hongyan Wang, Nannan Li, Xuan Wang

“…We develop an efficient optimization algorithm to solve the proposed model based on alternating minimization. …”
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Immune transcriptomic analysis on COVID-19 patients with varying clinical presentations identifies severity markers by Abdallah Musa Abdallah, Hifzur Rahman Ansari, Muhammad Shuaib, Asmma Doudin, Hadi M. Yassine, Syed Shahab Ud Din Shah, Fayaz Ahmad Mir, Mohamed M. Emara, Abdel-Naser Elzouki, Farhan S. Cyprian

“…The transcriptome dataset of COVID-19 patients with diverse clinical presentations offers valuable insights into molecular mechanisms and may inform clinical decisions on anti-inflammatory therapies.…”
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Enhanced and predictive modelling of direct shoot regeneration of Evolvulus alsinoides (L.) using ANN machine learning model and genetic stability studies by Collince Omondi Awere, Kasinathan Rakkammal, Andaç Batur Çolak, Mustafa Bayrak, Ogolla Fredrick, Valentine Chikaodili Anadebe, Manikandan Ramesh

“…Hence, the application of computational techniques (machine learning (ML) algorithms) is essential for predicting de novo direct regeneration. …”
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Estimating Complex Signals With a Fuzzy-Enhanced Kalman Filter: A Note on “the Output Regulation and the Kalman Filter as the Signal Generator” by Jesus Alberto Meda-Campana, Juan Carlos Garcia-Hernandez, Rodolfo Daniel Velazquez-Sanchez, Luis Alberto Paramo-Carranza, Tonatiuh Hernandez-Cortes, Ricardo Tapia-Herrera

“…Furthermore, the result shows that incorporating simple fuzzy logic concepts may substantially enhance the performance of some established algorithms.…”
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Encoding arbitrary phase profiles to 2D diffraction orders with controllable polarization states by Zhao Ruizhe, Li Xin, Geng Guangzhou, Li Xiaowei, Li Junjie, Wang Yongtian, Huang Lingling

“…Sixteen independent holograms that generated by GS algorithm are successfully encoded into 4 × 4 uniformly distributed diffraction orders. …”
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Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder. by Caroline C McGrouther, Aaditya V Rangan, Arianna Di Florio, Jeremy A Elman, Nicholas J Schork, John Kelsoe, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium

“…We first apply this covariate-corrected biclustering algorithm to a cohort of 2524 BD cases and 4106 controls from the Bipolar Disease Research Network (BDRN) within the Psychiatric Genomics Consortium (PGC). …”
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Detection of posttraumatic pneumothorax using electrical impedance tomography-An observer-blinded study in pigs with blunt chest trauma. by Felix Girrbach, Tobias Landeck, Dominic Schneider, Stefan U Reske, Gunther Hempel, Sören Hammermüller, Udo Gottschaldt, Peter Salz, Katharina Noreikat, Sebastian N Stehr, Hermann Wrigge, Andreas W Reske

“…Chest sonography and Electrical Impedance Tomography (EIT) can both be used at the bedside and may provide complementary information. We evaluated the performance of EIT for diagnosing posttraumatic PTX in a pig model.…”
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SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver by Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Nobuo Sato, Xingfu Wu, J Taylor Childers, Steven Goldenberg

“…The complexity of the underlying inverse problem may require the utilization of high performance computing systems which poses a challenge on the algorithmic design of the inverse problem solver. …”
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Comprehensive Comparison of Machine Learning and Kalman Filter Battery State of Charge Estimators by Romulo Vieira, Phil Kollmeyer, Lea Pitault, Ali Emadi

“…Ten different measurement offset error values are added to the data, capturing sensor error that may be present in the vehicle, and incorrect initial SoC estimates are also considered. …”
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Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment by Chuanyu Ma, Chuanyu Ma, Guandu Li, Xiaohan Song, Xiaochen Qi, Tao Jiang

“…Our results suggest that the implementation of therapeutic strategies based on key ITH genes may bring new hope for PRAD patients.DiscussionOur findings indicate that ITH may be an important biomarker for the prognosis and characterisation of PRAD and that the ITH-related gene MYLK2 may serve as a novel target for the treatment of PRAD patients.…”
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Characteristics of clinical, laboratory, and immunological manifestations in patients with anticentromere antibody-associated Sjögren's disease by B. D. Chaltsev, V. I. Vasilyev, S. G. Palshina, A. V. Torgashina, E. V. Sokol, Yu. I. Khvan, E. B. Rodionova, T. N. Safonova, S. V. Lapin, O. Yu. Tkachenko, A. V. Mazing

“…Objective: to study clinical and laboratory features in patients with anticentromere antibody (ACA)-positive SjЪgren's disease (SD), as well as the sensitivity of different methods for determination of ACA, and to elaborate an algorithm for differential diagnosis in ACA-positive patients.Patients and methods. …”
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Relationship between very low low-density lipoprotein cholesterol concentrations not due to statin therapy and risk of type 2 diabetes: A US-based cross-sectional observational stu... by QiPing Feng, Wei-Qi Wei, Cecilia P Chung, Rebecca T Levinson, Alexandra C Sundermann, Jonathan D Mosley, Lisa Bastarache, Jane F Ferguson, Nancy J Cox, Dan M Roden, Joshua C Denny, MacRae F Linton, Digna R Velez Edwards, C Michael Stein

“…<h4>Background</h4>Observations from statin clinical trials and from Mendelian randomization studies suggest that low low-density lipoprotein cholesterol (LDL-C) concentrations may be associated with increased risk of type 2 diabetes mellitus (T2DM). …”
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Vascular Effects of Achieving Low Disease Activity in Axial Spondyloarthritis - A 2-Year Prospective Cohort Study by Huan Meng, Xerox SL Lau, Isaac TH Cheng, Byran P Yan, Alex P Lee, Ho So, LS Tam

“…Background: Axial spondyloarthritis (axSpA) is associated with accelerated atherosclerosis driven by chronic inflammation. Achieving LDA may result in significant benefits in articular disease, little is known about its effect on extra-articular disease, including CVD risk in axSpA. …”
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TILTomorrow today: dynamic factors predicting changes in intracranial pressure treatment intensity after traumatic brain injury by Shubhayu Bhattacharyay, Florian D. van Leeuwen, Erta Beqiri, Cecilia A. I. Åkerlund, Lindsay Wilson, Ewout W. Steyerberg, David W. Nelson, Andrew I. R. Maas, David K. Menon, Ari Ercole, the CENTER-TBI investigators and participants

“…Serial protein biomarkers were also important and may serve a useful role in the clinical armamentarium for assessing therapeutic needs. …”
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High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds by S. Bovo, M. Bolner, G. Schiavo, G. Galimberti, F. Bertolini, S. Dall’Olio, A. Ribani, P. Zambonelli, M. Gallo, L. Fontanesi

“…Metabolomics can describe the molecular phenome and may contribute to dissecting the biological processes linked to economically relevant traits in livestock species. …”
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