Search Results - "algorithms"

The Effect of Hemoadsorption with CytoSorb on Severe COVID-19 Complications by A. S. Rybalko, S. N. Galkina, A. S. Saryglar, A. V. Voronin, M. I. Rezyapova, N. I. Chaus, S. N. Perekhodov, N. A. Karpun

“…The use of hemoadsorption with CytoSorb as a pathogenetic therapy targeting the hyperinflammatory response in the management algorithm of ICU patients with severe COVID-19 complications resulted in resolution of the inflammatory response and respiratory failure, as well as a significant reduction in mortality.…”
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Proton Therapy for Uveal Melanoma on a Pencil Beam Scanning Gantry by Hang Qi, PhD, Lei Hu, PhD, Sheng Huang, PhD, Yen-Po Lee, MS, Qing Chen, MS, Francis Yu, MS, Huifang Zhai, MS, Yunjie Yang, PhD, Minglei Kang, PhD, Peter Park, CMD, Andy Shim, CMD, Xiaoxuan Xu, PhD, David H. Abramson, MD, Jasmine H. Francis, MD, Arpit Chhabra, MD, Charles B. Simone, II, MD, Christopher A. Barker, MD, Haibo Lin, PhD

“…Each plan was forward calculated with a beam-specific brass aperture (BSA) using a Monte Carlo algorithm to explore dosimetric improvements. We compared the plan quality to the delivered plan (DP) using target coverage (D95%) and mean/maximum doses to the adjacent organs. …”
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Epidemiological Features of Chronic Lung Infection in Patients with Cystic Fibrosis by I. A. Shaginyan, M. Yu. Chernukha, L. R. Avetisyan, E. A. Siyanova, D. G. Kulyastova, O. S. Medvedeva, T. B. Priputnevich, D. Yu. Trofimov, A. V. Gordeev, E. I. Kondratieva, E. L. Amelina, S. A. Krasovskiy

“…To define epidemiologic characteristics of chronic lung infection caused by the most common agents (S. aureus, P. aeruginosa, B. cepacia-like bacteria (Bcc) and Achromobacter spp.) using a novel chronic lung infection in cystic fibrosis patients microbiological diagnosis algorithm. Materials and methods. Over a period of 7 years (2008-2016) 300 children with cystic fibrosis living in Moscow, Moscow region and several other regions of Russian Federation have been checked-up. 260 sputum samples from 100 adult patients, who were under care at the Pulmonology Research Institute, were studied. …”
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Non-invasive fractional flow reserve: a comparison of one-dimensional and three-dimensional mathematical modeling effectiveness by D. G. Gognieva, E. S. Pershina, Yu. O. Mitina, T. M. Gamilov, R. A. Pryamonosov, N. A. Gogiberidze, A. N. Rozhkov, Yu. V. Vasilevsky, S. S. Simakov, F. Liang, V. E. Sinitsyn, V. B. Betelin, D. Yu. Schekochikhin, A. L. Syrkin, F. Yu. Kopylov

“…We estimated coronary FFR using the 1-D algorithm of the Laboratory of Mathematical Modeling (Sechenov University) and compared the diagnostic effectiveness of these methods.Results. …”
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DA-FIS: A high-speed dynamic adaptive fault injection server framework for reliable FPGA-based embedded systems by Fatimah Alhayan, Gaganjot Kaur, Sultan Alanazi, Mohammed Burhanur Rehman, Wahida Mansouri, Da’ad Albalawneh, Ali Alqazzaz, Hanadi Alkhudhayr

“…DA-FIS is implemented on the Xilinx Zynq-7000 FPGA and evaluated across multiple benchmark workloads, including the Bubble Sort algorithm, 4-bit adder, 4-bit multiplier, and counter-based logic circuits. …”
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Autonomic nervous system development-related signature as a novel predictive biomarker for immunotherapy in pan-cancers by Cunen Wu, Cunen Wu, Cunen Wu, Cunen Wu, Weiwei Xue, Yuwen Zhuang, Dayue Darrel Duan, Dayue Darrel Duan, Zhou Zhou, Zhou Zhou, Xiaoxiao Wang, Zhenfeng Wu, Jin-yong Zhou, Xiangkun Huan, Ruiping Wang, Haibo Cheng, Haibo Cheng

“…A pan-cancer predictive model for ICI prognosis based on ANSDR.Sig was constructed, with the random forest algorithm yielding the most robust performance. Further screening using five ML methods on the ICI RNA-seq datasets identified 18 key genes, forming the Hub-ANSDR.Sig. …”
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LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study by Hengrui Liang, Runchen Wang, Ran Cheng, Zhiming Ye, Na Zhao, Xiaohong Zhao, Ying Huang, Zhanpeng Jiang, Wangzhong Li, Jianqi Zheng, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yun Yan, Lei Song, Jie Li, Xin Xu, Wenhua Liang, Jun Liu, Jianxing He

“…Feature importance was interpreted using Shapley additive explanations (SHAP) algorithm. Results For task #1, 10 proteins panel showed an AUC of .87 (.77‒.97) in the external validation. …”
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An Upscaling-Based Strategy to Improve the Ephemeral Gully Mapping Accuracy by Solmaz Fathololoumi, Daniel D. Saurette, Harnoordeep Singh Mann, Naoya Kadota, Hiteshkumar B. Vasava, Mojtaba Naeimi, Prasad Daggupati, Asim Biswas

“…Employing the Random Forest (RF) algorithm, this study executed three distinct strategies for EGs identification. …”
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Can vegetation breakpoints in Eastern Mongolia rangeland be detected using Sentinel-1 coherence time series data? by Shuxin Ji, Ganzorig Gonchigsumlaa, Sugar Damdindorj, Tserendavaa Tseren, Densmaa Sharavjamts, Amartuvshin Otgondemberel, Enkh-Amgalan Gurjav, Munguntsetseg Puntsagsuren, Batnaran Tsabatshir, Tumendemberel Gungaa, Narantsetseg Batbold, Lukas Drees, Bayarchimeg Ganbayar, Dulamragchaa Orosoo, Bayartsetseg Lkhamsuren, Badamtsetseg Ganbat, Myagmarsuren Damdinsuren, Gantogoo Gombosuren, Batnyambuu Dashpurev, Thanh Noi Phan, Nandintsetseg Dejid, Thomas Müller, Lukas Lehnert

“…To detect movement patterns, a new random forest-based method to detect breakpoints in vegetation condition has been developed and compared to the widely used Breaks For Additive Season and Trend (BFAST) algorithm. In contrast to BFAST, the new method accounts for vegetation changes caused by weather events such as snow and rainfall. …”
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Assessment of horizontally oriented ice crystals with a combination of multiangle polarization lidar and cloud Doppler radar by Z. Wu, Z. Wu, P. Seifert, Y. He, Y. He, Y. He, H. Baars, H. Li, H. Li, C. Jimenez, C. Li, A. Ansmann

“…This study introduces an automatic range-resolved algorithm for HOIC identification using a combination of ground-based zenith-pointing and 15° off-zenith-pointing polarization lidars. …”
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DETECTION OF SOMATIC MUTATIONS IN THE BRAF GENE BY PYROSEQUENCING by O. P. Dribnokhodova, E. A. Dunaeva, G. V. Leshkina, E. A. Yarygina, A. Yu. Bukharina, Ya. A. Voiciehovskaya, E. V. Borisova, S. K. Bormotova, A. I. Daoud, V. N. Khlavich, K. O. Mironov

“…The pyrogram signal values for samples without mutations ranged from 0 to 19.5 % for different mutations. An analysis algorithm was developed to confirm the presence and differentiation of mutations in the 600 codon at a low proportion of the mutant allele based on the signals ratio on the pyrogram. …”
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Salvage treatment strategies for refractory sudden sensorineural hearing loss—a comprehensive review and meta-analysis with practical recommendations by Piero Giuseppe Meliante, Piero Giuseppe Meliante, Luigi D’Avino, Giuseppe Barba, Edoardo Covelli, Carla Petrella, Christian Barbato, Antonio Minni, Antonio Minni

“…This systematic review aims to assess the effectiveness of current salvage treatments for SSNHL unresponsive to first-line systemic corticosteroid therapy, and to develop an evidence-based treatment algorithm.MethodsA comprehensive search of PubMed, Embase, and Cochrane Library was performed for English language articles published between January 2010 and April 2025. …”
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Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features by Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, Jonas Honer, Wibke Deisting, Jonas Anlahr, Anja Hoenig, Julia Czwikla, Eva Sienz-Widmann, Doris Rau, Austin J. Rice, Timothy P. Riley, Danqing Li, Hannah B. Catterall, Christine E. Tinberg, Jeffrey J. Gray, Kathy Y. Wei

“…On out-of-distribution (refers to the fact that the out-of-distribution sequnes are blind to the algorithm) sequences, we show that a sufficiently simple CNN model performs better than general pre-trained language models trained on diverse protein sequences (average Spearman correlation coefficient, [Formula: see text], of 0.4 as opposed to 0.15). …”
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Transcriptome analysis provides new insights into the berry size in ‘Summer Black’ grape under a two-crop-a-year cultivation system by Peiyi Ni, Shengdi Yang, Yunzhang Yuan, Chunyang Zhang, Hengliang Zhu, Jing Ma, Shuangjiang Li, Guoshun Yang, Miao Bai

“…Then the time-ordered gene co-expression network (TO-GCN) analysis with the breadth-first search algorithm showed that DEGs in the GCN were divided into 8 levels. …”
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Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes by A. C. Talucci, M. M. Loranty, J. E. Holloway, B. M. Rogers, H. D. Alexander, N. Baillargeon, J. L. Baltzer, L. T. Berner, A. Breen, L. Brodt, B. Buma, B. Buma, J. Dean, C. J. F. Delcourt, L. R. Diaz, C. M. Dieleman, T. A. Douglas, G. V. Frost, B. V. Gaglioti, R. E. Hewitt, T. Hollingsworth, T. Hollingsworth, M. T. Jorgenson, M. J. Lara, R. A. Loehman, M. C. Mack, K. L. Manies, C. Minions, S. M. Natali, J. A. O'Donnell, D. Olefeldt, A. K. Paulson, A. V. Rocha, L. B. Saperstein, T. A. Shestakova, T. A. Shestakova, T. A. Shestakova, S. Sistla, O. Sizov, A. Soromotin, M. R. Turetsky, S. Veraverbeke, M. A. Walvoord

“…This dataset can be used to address understudied research areas, particularly algorithm development, calibration, and validation for evolving process-based models as well as extrapolating across space and time, which could elucidate permafrost–wildfire interactions under accelerated warming across the high-northern-latitude permafrost zone. …”
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Multi-omics analysis reveals the role of ribosome biogenesis in malignant clear cell renal cell carcinoma and the development of a machine learning-based prognostic model by Zhouzhou Xie, Zhouzhou Xie, Shansen Peng, Shansen Peng, Jiongming Wang, Jiongming Wang, Yueting Huang, Yueting Huang, Xiaoqi Zhou, Xiaoqi Zhou, Guihao Zhang, Guihao Zhang, Huiming Jiang, Huiming Jiang, Kaihua Zhong, Kaihua Zhong, Lingsong Feng, Lingsong Feng, Nanhui Chen, Nanhui Chen

“…A prognostic model based on a Ribosis-related signature (RBRS) was built using 118 machine learning algorithm combinations and validated in internal and external cohorts. …”
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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…The spatio-temporal correlation characteristics of the support in the working face were extracted by using the unsupervised clustering algorithm, forming a spatio-temporal linkage support resistance analysis method. …”
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China's annual forest age dataset at a 30 m spatial resolution from 1986 to 2022 by R. Shang, R. Shang, X. Lin, J. M. Chen, J. M. Chen, Y. Liang, K. Fang, M. Xu, Y. Yan, W. Ju, G. Yu, N. He, L. Xu, L. Liu, J. Li, W. Li, J. Zhai, Z. Hu

“…The modified COLD (mCOLD) algorithm, which incorporates spatial information and bidirectional monitoring, was used for forest disturbance monitoring. …”
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HPV-negative oropharyngeal carcinoma as a separate prognostkally unfavorable form of cancer, requiring new approaches to treatment (case report) by A. R. Gevorkov, A. V. Boyko, A. P. Polyakov, L. V. Bolotina, N. N. Volchenko, I. V. Rebrikova, A. М. Lemeshko, S. V. Shashkov

“…HPV-negative oropharyngeal cancer requires an optimized treatment algorithm and, possibly, more aggressive therapeutic measures, such as increased radiation doses. …”
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Glasgow Coma Scale: Linguistic-Cultural Adaptation of the Russian Version by M. A. Piradov, N. A. Suponeva, Yu. V. Ryabinkina, E. V. Gnedovskaya, K. A. Ilyina, D. G. Yusupova, A. A. Zimin, L. A. Legostaeva, E. G. Yazeva, I. S. Bakulin, A. B. Zaitsev, N. V. Polekhina, P. Bundhun, N. M. Ramchandani, V. Y. Samorukov, M. A. Domashenko

“…In order to carry out a quick and at the same time sufficiently complete assessment of this kind, in 1974 neurosurgeons Graham Teasdale and Bryan Jennett from the University of Glasgow developed an algorithm consisting of a sequential series of tests in the form of eye opening, speech and motor responses, called Glasgow Coma Scale. …”
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