Analysis of Human Gait Cycle With Body Equilibrium Based on Leg Orientation by Muhammad Asif, Muhammad A. Tayyab, Muhammad H. Shahid, Usama Arif, Mohsin I. Tiwana, Umar S. Khan, Waqar S. Qureshi

“…A sensing unit was installed on the designed metal-based leg mounting assembly on the lateral side of the leg. An algorithm was proposed based on two variables: the position of the leg in space and the angle of the knee joint measured by using an inertial measurement unit (IMU) sensor and a rotary encoder. …”
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Metabolic syndrome and pancreatic lesions by O. S. Shifrin, I. A. Sokolina, A. E. Leonovich, M. A. Ashitko, T. L. Lemina, A. V. Korolyov

“…Original investigation algorithm was based on tasks of the study and included careful inquiry and physical investigation of patients. …”
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A Novel Approach to Optimize Key Limitations of Azure Kinect DK for Efficient and Precise Leaf Area Measurement by Ziang Niu, Ting Huang, Chengjia Xu, Xinyue Sun, Mohamed Farag Taha, Yong He, Zhengjun Qiu

“…An efficient pixel filter-based depth inpainting algorithm was then designed to inpaint void and flying pixels and restore consistent, high-confidence depth values within semantic regions. …”
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Analysis and 3D modelling of percolated conductive networks in nanoparticle-based thin films by Stanislav Haviar, Benedikt Prifling, Tomáš Kozák, Kalyani Shaji, Tereza Košutová, Šimon Kos, Volker Schmidt, Jiří Čapek

“…Using the experimental data, virtual films were generated through a data-driven stochastic 3D microstructure model that is based on a sphere packing algorithm, where the particle size distribution, porosity and vertical density profile are taken into account. …”
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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

“…To quantitatively evaluate our algorithm, extensive experiments were conducted using available annotated data, confirming the reliability and robustness of our method. …”
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A Lightweight Network for Ship Detection in SAR Images Based on Edge Feature Aware and Fusion by Yuming Li, Jin Liu, Xingye Li, Xiliang Zhang, Zhongdai Wu, Bing Han

“…Finally, we propose a selective quantization algorithm based on a bit-width selection mechanism to reduce model memory usage without compromising performance. …”
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Identifying and prioritizing appropriate strategies for customer loyalty in a mass environment (case study: clothing house) by Zahra Joorbonyan, Ali Sorourkhah, Seyyed Ahmad Edalatpanah

“…The present study aims to provide a combined approach for prioritizing customer loyalty strategies.Methodology: This research uses a matrix-based approach to robustness analysis, which can deal with complexity and uncertainty. The proposed algorithm combines it with strategic planning tools (strategies derived from strategic objectives and SWOT analysis) for prioritizing and selecting strategies. …”
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Classifying Sunn Pest Damaged and Healthy Wheat Grains Across Different Species with YOLOV8 and Vision Transformers by Melike Çolak, Özgü Özkan, Ali Berkol, Nergis Pervan Akman, Murat Ardıç, Okan Sezer, Nazife Gözde Ayter Arpacıoğlu, Zekiye Budak Başçiftçi, Murat Olgun

“…Over time, the number of researchers focusing on this problem by using various machine learning algorithms and image processing techniques has increased. …”
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Joint Effect of CFH and ARMS2/HTRA1 Polymorphisms on Neovascular Age-Related Macular Degeneration in Chinese Population by Kai Fang, Pei Gao, Jun Tian, Xueying Qin, Wenzhen Yu, Juan Li, Qing Chen, Lvzhen Huang, Dafang Chen, Yonghua Hu, Xiaoxin Li

“…We explored the potential interactions among gene variants using generalized multifactor dimensionality reduction (GMDR) algorithm and the method to measure the departure from the additivity model. …”
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Predicting largest expected aftershock ground motions using automated machine learning (AutoML)-based scheme by Xiaohui Yu, Meng Wang, Chaolie Ning, Kun Ji

“…In contrast to classical machine learning techniques, AutoML requires minimal human involvement in model design, selection, and algorithm tuning. We collected 2500 sets of mainshock and in-situ aftershock recordings from a global database to train the AutoML model. …”
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BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches by Pinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Zheshan Guo, Haipeng Liu, Prince Jain

“…For this, feature selection becomes essential.MethodsSwarm Optimization Algorithm (SSA), Improved Maximum Relevance and Minimum Redundancy (IMRMR), and Boruta form the basis of this work’s ML-based model BIMSSA. …”
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Draft genome dataset of Streptomyces griseoincarnatus strain R-35 isolated from tidal pool sedimentsMendeley DataNCBI by Danielle Dana Mitchell, Jo-Marie Vreulink, Alaric Prins, Marilize Le Roes-Hill

“…The phylogenomic positioning of S. griseoincarnatus strain R-35 was determined using the Type Strain Genome Server (TYGS) and was found to be related to S. griseoincarnatus JCM 4381T, with a digital DNA-DNA hybridisation (dDDH) value of 84.1%, and an OrthoANIu value of 98.22%. The CARD RGI algorithm on Proksee predicted the presence of 6,107 antimicrobial resistance (AMR) features, 27 biosynthetic gene clusters (BGCs) were predicted using antiSMASH, while 189 carbohydrate-active enzymes (CAZymes) were predicted using dbCAN3. …”
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Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study by Fumin Xu, Xiao Chen, Chenwenya Li, Jing Liu, Qiu Qiu, Mi He, Jingjing Xiao, Zhihui Liu, Bingjun Ji, Dongfeng Chen, Kaijun Liu

“…The adaptive boosting algorithm (AdaBoost) showed the best predictive performance with the highest AUC value (0.826; 95% confidence interval: 0.740 to 0.888). …”
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Machine learning-driven identification of critical gene programs and key transcription factors in migraine by Lei Zhang, Yujie Li, Yunhao Xu, Wei Wang, Guangyu Guo

“…The cell-type-specific expression (CELLEX) algorithm was employed to calculate specific expression profiles for each region, while non-negative matrix factorization (NMF) was applied to decompose gene programs within the single-cell data from these regions. …”
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Can the adherence to quality of care indicators for early rheumatoid arthritis in clinical practice reduce risk of hospitalisation? Retrospective cohort study based on the Record L... by Carlo Alberto Scirè, Antonella Zambon, Greta Carrara, Anna Zanetti, Lisa Argnani

“…Objective To describe the adherence to quality of care indicators in early rheumatoid arthritis (RA) and to evaluate its impact on the risk of hospitalisation in a real-world setting.Design Retrospective cohort study.Setting Patients with early-onset RA identified from healthcare regional administrative databases by means of a validated algorithm between 2006 and 2012 in the Lombardy region (Italy).Participants The study cohort included 14 203 early-onset RA (71% female, mean age 60 years).Outcome measures For each patient, a summary adherence score was calculated starting from the compliance to six quality indicators: (1–2) methotrexate or sulfasalazine or leflunomide with/without glucocorticoids, (3–4) other disease-modifying antirheumatic drugs (DMARDs) with/without glucocorticoids, (5) early interruption of glucocorticoids, (6) early clinical assessment.The relationship between low, intermediate and high categories of the summary score and the 12-month risk of hospitalisation for all causes and for RA was assessed.Results During a follow-up of 1 year, 2609 hospitalisations occurred, of which 704 were for RA (main or secondary diagnosis) and 252 primarily for RA. …”
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A similar feature point matching method for aerial electric power tower images based on a one-ring neighborhood of vertices by Chen Keyu, Guo Jufu, Wang Weijun, Lei Bo, Huang Hui, Luo Lijing

“…On this basis, taking into account the spatial relationships and geometric characteristics around the feature points, a texture mapping algorithm based on vertex ring neighborhood and patch classification is applied to construct a vertex ring neighborhood structure and extract geometrically representative electric power tower features. …”
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A Study of the Star Clusters’ Population in the Giant Molecular Cloud G174+2.5 by Tatyana A. Permyakova, Giovanni Carraro, Anton F. Seleznev, Andrej M. Sobolev, Dmitry A. Ladeyschikov, Maria S. Kirsanova

“…To evaluate the reddening, we use both the NICEST algorithm and the Q -method. Both methods produce consistent extinction maps in the regions of the four studied clusters. …”
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Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis by Zohreh Javanmard, Saba Zarean Shahraki, Kosar Safari, Abbas Omidi, Sadaf Raoufi, Mahsa Rajabi, Mohammad Esmaeil Akbari, Mehrad Aria

“…Original articles applying ML algorithms for BC survival prediction using clinical data were included. …”
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Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling. by Biche Osong, Eric Sribnick, Jonathan Groner, Rachel Stanley, Lauren Schulz, Bo Lu, Lawrence Cook, Henry Xiang

“…We employed a conditional inference tree algorithm with bootstrap (B = 100) and grid search options to grow the decision tree and measure discrimination ability using the area under the curve (AUC) and calibration plots.…”
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Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in Image Steganography by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal

“…Additionally, the method offers efficient insertion and extraction time during the watermark embedding and retrieval process, making it highly practical for real-time applications. An algorithm employs DCT technique for Audio integration within DICOM images are more robust and imperceptible. …”
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