A Picking Point Localization Method for Table Grapes Based on PGSS-YOLOv11s and Morphological Strategies by Jin Lu, Zhongji Cao, Jin Wang, Zhao Wang, Jia Zhao, Minjie Zhang

“…More specifically, the network PGSS-YOLOv11s is composed of an original backbone of the YOLOv11s-seg, a spatial feature aggregation module (SFAM), an adaptive feature fusion module (AFFM), and a detail-enhanced convolutional shared detection head (DE-SCSH). …”
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Design, Construction, and Evaluation of an Automatic Feeder Control System for Sugarcane Billet Planters by B. Abbasian, M. E. Khorasani Ferdavani, H. Zaki Dizaji

“…The ultrasonic sensor showed promise for reducing spillage; however, it ultimately fell short due to its inability to accurately and swiftly detect the availability of cane, resulting in gaps between planted canes. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…These threats are chiefly related to serverless structures owing to their features, such as auto-scaling, pay-as-you-go method, cost amplification, and limited control. …”
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Endovascular catheter technologies in the diagnosis and treatment of ulcerative gastroduodenal bleeding by Yu.V. Avdosiev, P.V. Ivanchov, S.S. Loboda

“…Performing arteriography to detect direct and indirect angiographic signs of bleeding allowed for the identification of the bleeding source in the celiac trunk or superior mesenteric artery, followed by appropriate XRECH based on angiographic semiotics. …”
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X-RAY MORPHOLOGICAL SEMIOTICS OF NON-TUBERCULOUS MYCOBACTERIAL PULMONARY DISEASE by R. B. Amansakhedov, L. N. Lepekha, L. I. Dmitrieva, I. Yu. Andrievskaya, A. T. Sigaev, N. N. Makar’yants, V. V. Romanov, A. E. Ergeshov

“…Objective: to evaluate the X-ray radiological features of nontuberculous mycobacterial pulmonary disease (NTMPD) versus morphological findings.Material and methods. …”
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CO21 | Viscoelastic testing in inherited bleeding disorders: a cross-sectional comparison between viscoelastic coagulation monitoring (VCM) and rotational thromboelastometry (ROTE...

“…Conversely, ROTEM adds EXTEM and FIBTEM channels that examine tissue-factor activation and fibrinogen contribution—features not fully captured by VCM—and therefore could give a more specific characterisation of the coagulation profile for algorithm-based decisions.   …”
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The Contribution of Meteosat Third Generation–Flexible Combined Imager (MTG-FCI) Observations to the Monitoring of Thermal Volcanic Activity: The Mount Etna (Italy) February–March... by Carolina Filizzola, Giuseppe Mazzeo, Francesco Marchese, Carla Pietrapertosa, Nicola Pergola

“…By analyzing changes in total SWIR radiance (TSR), calculated starting from hot pixels detected using the preliminary NHI algorithm configuration tailored to FCI data, we inferred information about variations in thermal volcanic activity. …”
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The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea by Rafael Rodrigues dos Santos, Matheo Bellini Marumo, Alan Luiz Eckeli, Helio Cesar Salgado, Luiz Eduardo Virgílio Silva, Renato Tinós, Rubens Fazan

“…As revealed by RF, the importance of features indicates that all feature modalities (HRV, SpO2, and anthropometric variables) contribute to the top 10 ranks.ConclusionThe present study demonstrates the feasibility of using classification models to detect the presence and severity of OSA using these indices. …”
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A comprehensive analysis identified an autophagy-related risk model for predicting recurrence and immunotherapy response in stage I lung adenocarcinoma by Hongmei Zheng, Songqing Fan, Hongjing Zang, Jiadi Luo, Long Shu, Jinwu Peng

“…Gene set enrichment analysis (GSEA) was used to reveal the molecular features of patients. ESTIMATE algorithm was applied to estimate the tumor immune infiltration. …”
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COMPARATIVE CLINICAL CHARACTERISTICS OF PATIENTS WITH VARIOUS FORMS OF PULMONARY ARTERIAL HYPERTENSION ASSOCIATED WITH CONGENITAL HEART DISEASE, ACCORDING TO THE CLINICAL CLASSIFIC... by S. E. Gratsianskaya, T. V. Martynyuk

“…The diagnosis was established by the algorithm proposed in the Russian guidelines for the diagnosis and treatment of PH (2016).Results: The patients of three subgroups of PAH-CHD were comparable in age and sex. …”
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The value of triglyceride–glucose index–related indices in evaluating migraine: perspectives from multi–centre cross–sectional studies and machine learning models by Zixuan Yan, Lincheng Duan, Hong Yin, Muchen Wang, Jingwen Li, Chenghua Li, Xiao Wang, Dingjun Cai, Fanrong Liang, Wenchuan Qi

“…SHapley Additive Explanations (SHAP) values were used to analyze leading models, highlighting influential features. Results The analysis included 6,204 U.S. participants and 9,401 Chinese participants. …”
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Statistical Comparison between Pores and Sunspots during the Time Interval 2010–2023 by Yang Peng, Yu Fei, Nan-bin Xiang, Lin-hua Deng, Ting-ting Xu, Sheng Zheng, Shu-guang Zeng, Hai-yang Zhang, Shi-hu Liu

“…The OTSU method and region-growing algorithm were combined to detect umbrae of 11,876 sunspots covering solar cycles 24 and 25. …”
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Unraveling volatile metabolites in pigmented onion (Allium cepa L.) bulbs through HS-SPME/GC–MS-based metabolomics and machine learning by Kaiqi Cheng, Kaiqi Cheng, Jingzhe Xiao, Jingyuan He, Rongguang Yang, Jinjin Pei, Jinjin Pei, Wengang Jin, Wengang Jin, A. M. Abd El-Aty, A. M. Abd El-Aty

“…Additionally, 33 and 38 feature metabolites were selected by SelectKBest and LASSO, respectively. …”
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Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study by Kuan-Chen Li, Ying-Han Lee, Yu-Hsien Lin

“…It organizes data points into clusters based on shared features. Based on this algorithm, we can use it to identify the wound region and determine its pixel area. …”
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Associations of absolute risk of osteoporotic fractures (FRAX®) and total cardiovascular risk (SCORE) in urban population of the Russian Federation by M. A. Myagkova, I. A. Skripnikova, O. V. Kosmatova, S. A. Shalnova, V. A. Vygodin

“…The risk of fracture, determined using the FRAX® algorithm, is positively associated with cumulative CVR (SCORE) in both men and women. …”
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Characteristics of clinical, laboratory, and immunological manifestations in patients with anticentromere antibody-associated Sjögren's disease by B. D. Chaltsev, V. I. Vasilyev, S. G. Palshina, A. V. Torgashina, E. V. Sokol, Yu. I. Khvan, E. B. Rodionova, T. N. Safonova, S. V. Lapin, O. Yu. Tkachenko, A. V. Mazing

“…Objective: to study clinical and laboratory features in patients with anticentromere antibody (ACA)-positive SjЪgren's disease (SD), as well as the sensitivity of different methods for determination of ACA, and to elaborate an algorithm for differential diagnosis in ACA-positive patients.Patients and methods. …”
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Molecular Classification of Large B-Cell Lymphoma and High-Grade B-Cell Lymphoma Cases and Association with Outcomes in Morocco by Mahat Taybi, Zineb Khammar, Noufissa Alami Drideb, Rhizlane Berrady, Sanae Benmiloud, Laila Bouguennouch, Sanae Elfakir, Laila Tahiri, Mohammed Majdoub, Laila Chbani, Nawal Hammas

“…A comparison was made between the molecular subtypes of DLBCL/HGBL in relation to clinicopathological features and outcomes. <b>Results:</b> Among the 50 cases studied in our population, we found 5 cases of HGBL with DLBCL morphology and 45 cases of DLBCL, which consisted of 13 cases (28.89%) of GCB subtype and 32 cases (71.11%) of non-GCB subtype based on the immunohistochemistry Hans algorithm. …”
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The Debut of Inflammatory Musculoskeletal Pathology in Patients Receiving Anticancer Therapy with PD-1/PD-L1 Pathway Inhibitors by A. D. Koltakova, A. M. Lila, O. G. Alekseeva, A. A. Fedenko, Y. V. Gridneva, A. S. Olshanskaya

“…Additional studies and close cooperation between rheumatologists and oncologists are needed to obtain a more complete understanding of the nature and spectrum of musculoskeletal AEs, to identify their clinical, laboratory and instrumental features, and to develop an management of patients algorithm.…”
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Social Media Suicide Watch by Katherine Prothro

“…Her own Twitter account revealed signals of her worsening mental health crisis.[1] While better content censoring could have helped, an algorithm capable of detecting her worsening mental state and alerting trusted individuals could have also served as a crucial safety net. …”
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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

“…Random forest was used for multitask model construction based on the key proteins. Feature importance was interpreted using Shapley additive explanations (SHAP) algorithm. …”
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