A Study on Canopy Volume Measurement Model for Fruit Tree Application Based on LiDAR Point Cloud by Na Guo, Ning Xu, Jianming Kang, Guohai Zhang, Qingshan Meng, Mengmeng Niu, Wenxuan Wu, Xingguo Zhang

“…In the domain of point cloud feature extraction, an improved Alpha Shape algorithm is proposed for extracting point cloud contours. …”
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Novel protein-based prognostic signature linked to immunotherapeutic efficiency in ovarian cancer by Shuo-Fu Chen, Liang-Yun Wang, Yi-Sian Lin, Cho-Yi Chen

“…Methods The workflow was demonstrated based on the Reverse Phase Protein Array (RPPA) and RNA-sequencing profiles of ovarian cancer patients from The Cancer Genome Atlas (TCGA). The algorithm began by clustering patients using immune-related gene sets, which allowed us to identify immune-related proteins of interest. …”
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A Collision-Free Path-Planning Method for an Articulated Mobile Robot by P. Quintero-Alvarez, G. Ramirez, S. Zeghloul

“…This formulation is then solved with the algorithm of minimal distance calculation proposed by Zeghloul (Zeghloul and Rambeaud, 1996). …”
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Area under the Curve-Based Dosing of Vancomycin in Critically Ill Patients Using 6-Hour Urine Creatinine Clearance Measurement by Bita Shahrami, Farhad Najmeddin, Saeideh Ghaffari, Atabak Najafi, Mohammad Reza Rouini, Mojtaba Mojtahedzadeh

“…Vancomycin pharmacokinetic parameters were determined for each patient using serum concentration data and a one-compartment model provided by MONOLIX software using stochastic approximation expectation-maximization (SAEM) algorithm. Correlation of CLvan with the measured creatinine clearance in 6-hour urine collection (CL6 h) and estimated creatinine clearance by the Cockcroft–Gault formula (CLCG) was investigated. …”
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Pengujian Rule-Based pada Dataset Log Server Menggunakan Support Vector Machine Berbasis Linear Discriminat Analysis untuk Deteksi Malicious Activity by Kurnia Adi Cahyanto, Muhammad Anis Al Hilmi, Muhamad Mustamiin

“…From the modeling, the results show that the LDA-based SVM algorithm has a training accuracy rate of 90,2% and testing 89,9% in performing rule-based testing for activity labeling on the web server.   …”
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A conceptual framework for the instructional design of a Moodle-based e-learning course for mainstreaming informal master’s education outcomes into ESP teaching in a formal non-lin... by Larisa M. Galchuk

“…The analysis of existing approaches to integrating the outcomes of informal adult education into the formal context of their lifelong learning has made it possible to develop a conceptual framework for the instructional design of an electronic training course to enhance ESP proficiency of master students. The research algorithm was to analyze the target audience through the prism of their experience in informal language learning with an emphasis on the predominant types of such cognitive activity and preferred information resources; to define the objectives of ESP teaching taking into account the potential for the language development in the informal setting and the affordances of the Moodle-based learning environment; to create a competency model of an electronic course graduate and to develop assessment tools for monitoring and verifying expected outcomes within a formal context. …”
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Rethinking Conservation and Restoration Strategies of Endangered and Key Medicinal Clavicarpa Plants in Yunnan‐Kweichow Plateau's Karst Areas Under Climate Change by Chao Luo, Baiyang He, Yulu Wu, Yuteng Xue, Huang Deng, Shanman Li, Xianghong Dong, Litang Lu

“…To mitigate these threats, the Maxent algorithm was employed to analyze current and future distribution patterns, with a particular focus on the influence of climate variables in predicting potential distribution shifts and assessing extinction risks under the optimistic SSP1‐2.6 and the pessimistic SSP5‐8.5 socioeconomic scenarios. …”
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Association of Plasma Levels of Nitric Oxide Oxidative Metabolites with Acute Stroke in Patients Presenting to the Emergency Department of a Low-Middle Income Country by Shahan Waheed, Ayaz Ghouse Kalsekar, Ayeesha Kamran Kamal, Nathan S. Bryan, Asad I. Mian

“…Clinical demographic information, ancillary blood, and diagnostic specimens were collected as per standard of care since the center follows stroke algorithmic guidelines. Plasma NOx analysis was performed using high performance liquid chromatography. …”
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Short- to Medium-Term Weather Forecast Skill of the AI-Based Pangu-Weather Model Using Automatic Weather Stations in China by Siyi Xu, Yize Zhang, Junping Chen, Yunlong Zhang

“…Furthermore, the iteration precision of Pangu’s 1 h forecast model is significantly lower than that of the other models, but this discrepancy in precision may not be prominently reflected in Pangu’s actual forecasting process due to the greedy algorithm employed. In the case study on typhoon forecasting, Pangu, along with FuXi and FengWu, demonstrates comparable performance in predicting Bebinca’s track compared to ECMWF and outperforms GFS in its track predictions. …”
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Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin by Wen Sun, Yejin Li, Fenghong Li, Guangsen Liu, Peng Rao

“…Static cloud-sea scenes are generated using Qilu-2 and New Technology satellite images, while dynamic scenarios are simulated with our iterative fractal dimension optimization algorithm. Next, we propose a high-precision infrared cloud-sea simulation method based on these simulate scenarios. …”
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IMU Sensor-Based Worker Behavior Recognition and Construction of a Cyber–Physical System Environment by Sehwan Park, Minkyo Youm, Junkyeong Kim

“…The collected sensor data are preprocessed using Kalman and extended Kalman filters, among others, and an algorithm was proposed to evaluate workers’ safety status and update health-related data in real time. …”
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Identification of microsatellite loci according to BAC sequencing data and their physical mapping to the bread wheat 5B chromosome by M. A. Nesterov, D. A. Afonnikov, E. M. Sergeeva, L. A. Miroshnichenko, M. K. Bragina, A. O. Bragin, G. V. Vasiliev, E. A. Salina

“…The assembly characteristics (N50 = 4 136 bp) are comparable to the recently obtained data for wheat and relative species and acceptable for identification of microsatellite loci. An algorithm utilizing the properties of complexity decompositions in  he sliding-window mode was used to detect DNA sequences with a repeat unit of 2–4 bp. …”
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Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

“…Two multi-modal fusion strategies were used: feature-level fusion, where we employed a hybrid feature selection algorithm combining Fisher discriminant analysis, an ensemble Lasso (EnLasso) method, and partial least squares (PLS) regression to identify and integrate the most informative features from neuroimaging and genetic data; and decision-level fusion, where we developed an adaptive ensemble stacking (AE_Stacking) model to synergistically integrate the predictions from multiple base classifiers trained on individual modalities.ResultsThe AE_Stacking model achieving the highest average balanced accuracy of 95.36% and an area under the receiver operating characteristic curve (AUC) of 0.974, significantly outperforming feature-level fusion and single-modal models (p < 0.05). …”
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Optimasi Klasifikasi Sentimen Komentar Pengguna Game Bergerak Menggunakan Svm, Grid Search Dan Kombinasi N-Gram by Syahroni Wahyu Iriananda, Renaldi Widi Budiawan, Aviv Yuniar Rahman, Istiadi Istiadi

“…In this study, sentiment classification was performed using the Support Vector Machine (SVM) algorithm, employing N-Gram techniques for feature selection. …”
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Assessing the Impact of Social Media Usage and Performance of the Selected Small and Medium Businesses in Ntungamo District. by Nyamwija, Bonitah

“…The study findings further assessed the challenges encountered when small business owner-managers in the Ntungamo district use social media in their business and these included time constraints, limited expertise, Negative feedback and online reputation management, and keeping up with algorithm changes. Based on the challenges, the study findings further examined the solutions to the challenges and these were; Monitoring social media channels regularly and responding promptly and professionally to customer feedback, whether positive or negative, Investing in social media training,g and Prioritizing social media management in the study area.…”
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Midostaurin shapes macroclonal and microclonal evolution of FLT3-mutated acute myeloid leukemia by Romane Joudinaud, Augustin Boudry, Laurène Fenwarth, Sandrine Geffroy, Mikaël Salson, Hervé Dombret, Céline Berthon, Arnaud Pigneux, Delphine Lebon, Pierre Peterlin, Simon Bouzy, Pascale Flandrin-Gresta, Emmanuelle Tavernier, Martin Carre, Sylvie Tondeur, Lamya Haddaoui, Raphael Itzykson, Sarah Bertoli, Audrey Bidet, Eric Delabesse, Mathilde Hunault, Christian Récher, Claude Preudhomme, Nicolas Duployez, Pierre-Yves Dumas

“…The evolution of FLT3 clones and comutations was analyzed in paired diagnosis–R/R samples by targeted high-throughput sequencing. Using a dedicated algorithm for FLT3-ITD detection, 189 FLT3-ITD microclones (allelic ratio [AR] of <0.05) and 225 macroclones (AR ≥ 0.05) were detected at both time points. …”
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Marker-Less Video Analysis of Infant Movements for Early Identification of Neurodevelopmental Disorders by Roberta Bruschetta, Angela Caruso, Martina Micai, Simona Campisi, Gennaro Tartarisco, Giovanni Pioggia, Maria Luisa Scattoni

“…Furthermore, the tracking accuracy was assessed through a comparative analysis with a validated semi-automatic algorithm (Movidea), obtaining a Pearson correlation (R) of 93.96% (88.61–96.60%) and a root mean square error (RMSE) of 9.52 pixels (7.29–12.37). …”
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Differences in Characteristics of Peripartum Patients Who Did and Did Not Require an Upgrade to the Intensive Care Unit: A Propensity Score Matching Study by Jennifer A. Walker, Jerry M. Yang, Saad Pirzada, Manahel Zahid, Samantha Asuncion, Amanda Tuchler, Gillian Cooper, Allison Lankford, Emad Elsamadicy, Quincy K. Tran

“…The Classification And Regression Tree, a machine learning algorithm, was used to identify significant predictors of ICU upgrade. …”
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Development and Validation of a Machine Learning Model for the Prediction of Bloodstream Infections in Patients with Hematological Malignancies and Febrile Neutropenia by Antonio Gallardo-Pizarro, Christian Teijón-Lumbreras, Patricia Monzo-Gallo, Tommaso Francesco Aiello, Mariana Chumbita, Olivier Peyrony, Emmanuelle Gras, Cristina Pitart, Josep Mensa, Jordi Esteve, Alex Soriano, Carolina Garcia-Vidal

“…<b>Methods:</b> From January 2020 to June 2022, we used the unsupervised ML algorithm KAMILA to analyze data from hospitalized hematological malignancy patients. …”
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A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD... by Louisa Jorm, Daniel Moses, Dona Adikari, Ramtin Gharleghi, Shisheng Zhang, Arcot Sowmya, Sze-Yuan Ooi, Susann Beier

“…The objectives are to (1) profile CTCA images with respect to variations in anatomical shape and associated haemodynamic risk expressing, at least in part, an individual’s CAD risk, (2) develop a machine-learning algorithm for the rapid assessment of anatomical risk directly from unprocessed CTCA images and (3) to build a novel CAD risk model combining traditional risk factors with these novel anatomical biomarkers to provide a higher accuracy CAD risk prediction tool.Ethics and dissemination The study protocol has been approved by the St Vincent’s Hospital Human Research Ethics Committee, Sydney—2020/ETH02127 and the NSW Population and Health Service Research Ethics Committee—2021/ETH00990. …”
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