Finite Volume Incompressible Lattice Boltzmann Framework for Non-Newtonian Flow Simulations in Complex Geometries by Akshay Dongre, John Ryan Murdock, Song-Lin Yang

“…After validating the FV-iLBM solver for simulating non-Newtonian flows, pulsatile blood flow through an artery afflicted with multiple stenoses was simulated, accurately predicting wall shear stress and flow separation. The results establish FV-iLBM as an efficient and accurate method for modeling cardiovascular flows.…”
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Determination of cavitation zone for cavitating waterjet machining using numerical simulation by Amresh Kumar, Tufan Chandra Bera, Bijay Kumar Rout

“…Finally, this work accurately predicts the standoff distance and cavitation intensity in the downstream of flow domain.…”
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Safety Assessment of Concrete Gravity Dams: Hydromechanical Coupling and Fracture Propagation by Maria Luísa Braga Farinha, Nuno Monteiro Azevedo, Sérgio Oliveira

“…The results also indicate that with a brittle concrete–rock model, the predicted safety factors are always conservative when compared with those that consider the fracture energy.…”
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Contagious disease outbreaks: Distinguishing between constant and variable order using the SEIAR model by S.Sepehr Tabatabaei, Mohammadreza Dehghan

“…These results demonstrate the model's superior accuracy in predicting the epidemic's progression. These findings significantly contribute to the understanding and management of contagious diseases. …”
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Antistray, Learning Smart: Creating Indoor Positioning Learning Environment for Augmenting Self-Regulated Learning by Tien-Chi Huang

“…The experiment is carried out to demonstrate the accuracy of the proposed indoor positioning algorithm. The results show that the proposed algorithm has a higher accuracy and lower error. …”
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WEIGHTED Decoding of Cyclic codes using quantized SIGNAL DEMODULATOR on PM signals by N. A. Salas, A. E. Korolev, V. K. Konopelko

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Indexer for document management system by M. V. Sterjanov

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Probabilistic coding of length of series with confirmation of repetition and preliminary sorting for compression of halftone images bits by H. K. Al-Bahadily, V. Yu. Tsviatkou, V. K. Kanapelka

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Enhancing Lung Ultrasound Diagnostics: A Clinical Study on an Artificial Intelligence Tool for the Detection and Quantification of A-Lines and B-Lines by Mahdiar Nekoui, Seyed Ehsan Seyed Bolouri, Amir Forouzandeh, Masood Dehghan, Dornoosh Zonoobi, Jacob L. Jaremko, Brian Buchanan, Arun Nagdev, Jeevesh Kapur

“…In quantifying B-lines, the algorithm achieved a weighted kappa score of 0.77 (95% CI 0.74 to 0.80) and an ICC of 0.87 (95% CI 0.85 to 0.89), showing substantial agreement between the ground truth and predicted B-line counts. …”
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Enhancing cotton irrigation with distributional actor–critic reinforcement learning by Yi Chen, Meiwei Lin, Zhuo Yu, Weihong Sun, Weiguo Fu, Liang He

“…Accurate predictions of irrigation’s impact on crop yield are crucial for effective decision-making. …”
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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…The results demonstrate that the acceleration efficiency of the CMFD method aligns with the phenomena predicted by the Fourier analysis in cylindrical geometry. …”

Systematic pan-cancer analysis identifies PKNOX1 as a potential prognostic and immunological biomarker and its functional validation by Kan Liu, Yongkang Xu, Ye Mao, Shumin Fu, Shenglan Huang, Jianbing Wu

“…The correlations between PKNOX1 expression and MDSC immune infiltration and immune cells were analyzed using the TIDE algorithm and the ESTIMATE algorithm. PKNOX1 -interacting proteins and expression-related genes were analysed via the STRING and TIMER 2.0 platforms, and the functions of PKNOX1 in tumors and the cell pathways involved were predicted via KEGG enrichment analysis. …”
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Acceptability of Guided Symptom Entry and Asynchronous Clinical Communication Software Among Primary Care Staff: Qualitative Study by Riina Raudne, Taavi Tillmann

“…Sometimes, this arises out of the perceived mismatch between needing to identify and document critical symptom information and being unable to standardize the supply of such information, due to a heterogeneous and unpredictable communication processes whose duration, quality, and risk of miscommunication are hard to predict and control. All interviewees expressed the desire that more patients initiate their remote query via the algorithm-guided symptom-entry software. …”
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Mapping landforms of a hilly landscape using machine learning and high-resolution LiDAR topographic data by Netra R. Regmi, Nina D.S. Webb, Jacob I. Walter, Joonghyeok Heo, Nicholas W. Hayman

“…Results showed that the approach mapped ∼84% of observed landforms when covariates were at 2 m resolution to ∼89% when they were at 10 m resolution. However, predicted maps showed that the 2 m resolution covariates performed better at capturing accurate landform boundaries and details of small-sized landforms such as stream channels and ridges. …”
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Modeling microbial drug-resistance: from mathematics to pharmacoeconomics by Yu. M. Gomon, M. A. Arepyeva, Yu. E. Balykina, A. S. Kolbin, A. A. Kurylev, M. A. Proskurin, S. V. Sidorenko

“…The proposed mathematical model allows one to predict the changes in microbial  drug-resistance and choose the optimal algorithm of AMA consumption able to restrain the growth of drug-resistance.…”
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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

“…In drier and less intensively used areas, the predicted pattern agrees less with the known movements. …”
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Objective dairy cow mobility analysis and scoring system using computer vision–based keypoint detection technique from top-view 2-dimensional videos by Shogo Higaki, Guilherme L. Menezes, Rafael E.P. Ferreira, Ariana Negreiro, Victor E. Cabrera, João R.R. Dórea

“…In addition, the study determined the potential of a machine learning classification model to predict mobility scores based on the newly extracted mobility variables. …”
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Detection of anthropogenic objects of aero-images based on geometric parameters of the edge of homogeneous areas by A. G. Shauchuk, V. Yu. Tsviatkou

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Red cell distribution width and renal outcome in patients with non-dialysis-dependent chronic kidney disease. by Sayoko Yonemoto, Takayuki Hamano, Naohiko Fujii, Karin Shimada, Satoshi Yamaguchi, Ayumi Matsumoto, Keiichi Kubota, Nobuhiro Hashimoto, Tatsufumi Oka, Masamitsu Senda, Yusuke Sakaguchi, Isao Matsui, Yoshitaka Isaka

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The prognostic significance of long noncoding RNAs in bladder cancer: A meta-analysis. by Yuexin Xia, Zhiyuan Liu, Weijian Yu, Shihang Zhou, Linnan Shao, Wenqian Song, Ming Liu

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