A DIC Based Technique to Measure the Contraction of a Skeletal Muscle Engineered Tissue by Emanuele Rizzuto, Silvia Carosio, Martina Faraldi, Simona Pisu, Antonio Musarò, Zaccaria Del Prete

“…The images acquired through a high speed camera were correlated with a custom-made algorithm and the longitudinal strain predictions were employed for measuring the spontaneous contraction. …”
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Implementing E-MOTIVE for detection and treatment of postpartum haemorrhage in South Africa by M Singata-Madliki, S Fawcus, N Moran, E Arends, E Muller, S Mandondo, G J Hofmeyr

“…E-MOTIVE was integrated into the existing Essential Steps in Managing Obstetric Emergencies algorithm. Certain research-related elements of the trial setting cannot be replicated in routine practice. …”
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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

“…For regression and classification, deep neural network (DNN) from deep learning algorithms and support vector machine (SVM), decision trees (DTs), k-nearest neighbor (KNN), random forest (RF), logistic regression (LR), and extreme gradient boosting (XGBoost) algorithms from machine learning algorithms were used. …”
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Generalized Centered Binomial Distribution for Bimodal Lattice Signatures by Seungwoo Lee, Joo Woo, Jonghyun Kim, Jong Hwan Park

“…Finally, we compare the performance of our variant to GALACTICS, a previous constant-time implementation of BLISS. While the signing algorithm of our variant is about 3.3 times slower than that of GALACTICS, GCBD can serve as an alternative to the discrete Gaussian distribution for designing bimodal lattice signatures.…”
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Prediction of miRNA-circRNA Associations Based on k-NN Multi-Label with Random Walk Restart on a Heterogeneous Network by Zengqiang Fang, Xiujuan Lei

“…First, in the conventional Random Walk Restart Heterogeneous (RWRH) algorithm, the computational method simply converts the circRNA/miRNA similarity network into the transition probability matrix; in contrast, we take the influence of the neighbor of the node in the network into account, which can suggest or stress some potential associations. …”
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Cross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation by Pengnan Liu, Yanchen Wang, Yunlong Li, Deqiang Cheng, Feixiang Xu

“…Experimental results indicate that, compared to current mainstream algorithms, this method shows significant advantages in the first hit rate (Rank-1), mean average precision (mAP), and generalization performance. …”
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Content of Investigative Situations of the Initial Stage of Investigating Coercion to Fulfill or Non-Fulfillment of Civil Obligations Committed by Organized Criminal Groups by E. V. Zozulya

“…The bases for choosing and realizing actions at the initial stage of investigation have been analyzed; investigative situations and algorithms of the corresponding actions have been specified. …”
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Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework. by Máté Mohácsi, Márk Patrik Török, Sára Sáray, Luca Tar, Gábor Farkas, Szabolcs Káli

“…We quantified the performance of the algorithms in terms of the best solutions found and in terms of convergence speed. …”
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Multimodal Zero-Shot Shelf Deformation Detection Based on MEMS Sensors and Images by Hong Yan, Jingjing Fan, Yajun Liu

“…A K-Means clustering algorithm is then applied to conduct the clustering analysis. …”
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A novel FPGA‐Based Bi input‐reduced order extended Kalman filter for speed‐sensorless direct torque control of induction motor with constant switching frequency controller by Remzi Inan

“…The proposed BI‐ROEKF is created by applying two different non‐linear and linear system input functions obtained from two different IM models to the single reduced order extended Kalman filter (ROEKF) algorithm. Thus, the order and the computational burden of the EKF are reduced. …”
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Design and Optimization of a Coherent Beamforming Network for an Aperiodic Concentric Ring Array by Armando Arce, Enrique Stevens-Navarro, Marco Cardenas-Juarez, Ulises Pineda-Rico, Jorge Simon, Marco A. Panduro

“…The optimization of the aperiodic layout on the antenna aperture (radii and interelement antenna spacings) is done by the differential evolution algorithm. Numeric experimentation demonstrates the performance advantages and capabilities of the proposed coherent network configuration with a nonuniform aperture over its uniform counterpart, with an improvement in average equal to −8.7 dB of side lobe level and 3.9 dB of directivity. …”
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The Mediation of Circulating Inflammatory Proteins in the Causal Pathway from Immune Cells to COPD by Yan K, Wang Y, Xin P

“…Lastly, a two-step approach was employed to ascertain the proportion of inflammatory proteins that mediate immune cell-mediated effects in COPD.Results: The combination of the inverse variance weighting method and the Bayesian weighting algorithm identified 30 immune cells that were found to be causally associated with COPD, as well as eight inflammatory proteins that were associated with COPD. …”
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A Secure Image Steganography Using Shark Smell Optimization and Edge Detection Technique by Omar Y. Abdulhammed, Pshtiwan J. Karim, Dashne R. Arif, Twana S. Ali, Avin O. Abdalrahman, Arkan A. Saffer

“…Firstly, to promote the hiding ability and to realize altitude standard of secrecy the mystery message is separated into four parts and the cover image is masked and also divided into four sections, then the edge detection algorithm and shark smell optimization is performed on each section respectively. …”
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Treatment of patients with tumor/treatment-related hypothalamic obesity in the first two years following surgical treatment or radiotherapy by Hermann L. Müller, Julian Witte, Bastian Surmann, Manuel Batram, Kylie Braegelmann, Mathias Flume, Julia Beckhaus, Nicolas Touchot, Carsten Friedrich

“…We analyze German claims data to better understand treatment pathways for patients living TTR-HO during the two years following the index surgical treatment. A database algorithm identified patients with TTR-HO in a representative German payer claims database between 2010 and 2021 (n = 5.42 million patients). …”
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A Pseudopotential Lattice Boltzmann Method for Simulation of Two-Phase Flow Transport in Porous Medium at High-Density and High–Viscosity Ratios by Eslam Ezzatneshan, Reza Goharimehr

“…Then, according to the results obtained, a conclusion has been made to choose an efficient numerical algorithm, including an appropriate collision operator, a realistic EoS, and an accurate forcing scheme, for simulation of multiphase flow transport through a porous medium. …”
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Identification of retinol dehydrogenase 10 as a shared biomarker for metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus by Fangyu Li, Rui Li, Hongjun Deng

“…Finally, we used RT-qPCR, immunofluorescence, Western blotting and Elisa to validate hub gene expression in MASLD and T2DM mouse models.ResultsThis analysis identified 20 genes shared by MASLD and T2DM that were enriched in the bile secretion, phototransduction, cancer, carbohydrate digestion and absorption, cholesterol/glycerol metabolism, and retinol metabolism. The LASSO algorithm and ROC curve identified Retinol Dehydrogenase 10 (RDH10) as the best diagnostic gene for MASLD and T2DM. …”
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A Hybrid Deep Learning‐Based Forecasting Model for the Peak Height of Ionospheric F2 Layer by Ya‐fei Shi, Cheng Yang, Jian Wang, Yu Zheng, Fan‐yi Meng, Leonid F. Chernogor

“…Abstract To achieve accurate forecasting of the peak height of the ionospheric F2 layer (hmF2), we propose a hybrid deep learning model of improved seagull optimization algorithm (ISOA) optimized long short‐term memory (LSTM) model based on a complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) theory. …”
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T cell receptor signaling pathway subgroups and construction of a novel prognostic model in osteosarcoma by Huan Xu, Huimin Tao

“…Immune landscape analysis including immune infiltration analysis, ESTIMATE algorithm and immune checkpoints expression levels of molecular subtypes and different risk groups were analyzed. …”
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An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis by Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ibrahim Alrashdi, Ibrahim A. Hameed

“…Therefore, the researchers have recently turned their focus to metaheuristic algorithms to address this problem more accurately and in an acceptable amount of time. …”
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Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

“…Additionally, we introduce a verification case using a different battery model and estimation algorithm to enhance generalization. This case involves high-noise signals with defined thresholds for current and voltage noise levels, which cause significant disruptions to Kalman Filters. …”
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