Conveyor belt deviation identification algorithm based on anchor point positioning and cross-layer correction by Zhe WANG, Zhe FU, Pengjun CAO, Qing LI, Gaoxiang ZHANG

“…Finally, in order to effectively train and evaluate the model performance, 3 268 pictures of various scenes of coal mine underground conveyor belts were collected for training and testing. …”
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Parameter optimization for multistage horizontal well fracturing based on multi-cluster perforation for deep coal measure gas: A case study of the Jurassic Baijiahai area in the Ju... by Bo WANG, Chenghong JIN, Jiang LIU, Zhiwei WANG, Shenjian LI, Mao SHENG

“…Furthermore, critical reservoir parameters in the model were corrected using data derived from mini-fracture tests. …”
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A blood-based liquid biopsy analyzing soluble immune checkpoints and cytokines identifies distinct neuroendocrine tumors by Pablo Mata-Martínez, Lucía Celada, Francisco J. Cueto, Gonzalo Sáenz de Santa María, Jaime Fernández, Verónica Terrón-Arcos, Nuria Valdés, Vanesa García Moreira, María Isabel Enguita del Toro, Eduardo López-Collazo, María-Dolores Chiara, Carlos del Fresno

“…Furthermore, the models demonstrated strong performance in distinguishing metastatic and exitus GEPP NENs, achieving sensitivities and specificities ranging from 80.95% to 88.89%. …”
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The dysbiosis of gut microbiota and dysregulation of metabolites in IgA nephropathy and membranous nephropathy by Lei Zhang, Lan Hu, Lan Hu, Lan Hu, Li Tan, Zhenjie Zhang, Mengying Chen, Wenbo Gan, Li Chen, Yan Zou, Shi Wang, Yu Pang, Zhenxin Fan, Junjie Liu

“…Multivariate statistical analyses and biomarker modeling were employed to identify discriminative features and evaluate diagnostic performance. …”
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Ageing Signatures and Disturbed Muscle Regeneration in Muscle Proteome of Inclusion Body Myositis by Geert M. deVries, Bob Asselbergh, Alice Monticelli, Peter De Jonghe, Stuart Maudsley, Peter Y. K. Van Den Bergh, Anne Bigot, Jan L. De Bleecker, Biljana Ermanoska, Willem De Ridder, Jonathan Baets

“…Proof‐of‐concept pharmacological inhibition of KDM5A with ryuvidine showed a significant effect on amyloid precursor protein (APP) abundance (p = 0.0003) and aggregation (p = 0.0132) in a conditional IBM‐mimicking inflammatory model. Conclusions This unbiased proteomics study reflects known core features of IBM pathomechanisms while simultaneously providing novel insights into the proteomic landscape of IBM, most notably dysregulation of metabolic pathways and failure of myogenesis. …”
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Clinical and Epidemiological Manifestations of Ixodic Tick-Borne Borreliosis Foci in the Tomsk region by O. V. Voronkova, E. N. Ilyinskikh, A. A. Rudikov, T. N. Poltoratskaya, I. E. Esimova, L. V. Lukashova, M. R. Karpova

“…In the Tomsk region for many years, the average long-term incidence of Ixodic tick-borne borreliosis exceeds the Russian one by more than 3 times. Aim. Identify features the features of the clinical and epidemiological manifestations of the Ixodic tick borne borreliosis foci in the Tomsk region; to identify priority areas for carrying out problem-oriented research in the field of ecology, epidemiology and the clinic of borreliosis infection in the Tomsk region. …”
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Using Machine Learning for Analysis of Wideband Acoustic Immittance and Assessment of Middle Ear Function in Infants by Shan Peng, Yukun Zhao, Xinyi Yao, Huilin Yin, Bei Ma, Ke Liu, Gang Li, Yang Cao

“…Results: The integrated machine learning models achieved an average accuracy exceeding 90% in the test set, with various classification performance metrics (accuracy, precision, recall, F1 score, MCC) surpassing 0.8. …”
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Nutritional and immune-inflammatory scoring system for predicting outcomes in newly diagnosed diffuse large B-cell lymphoma patients by Yu Peng, Tingting Jiang, Shuang Chen, Xinyi Tang, Xinyi Tang, Yakun Zhang, Yakun Zhang, Liangmei Li, Lian Li, Longrong Ran, Xuelian Wu, Jun Li, Wei Zhang, Nanjun Li, Zailin Yang, Yao Liu

“…DLBCL patients with a high NII (≥ 6) exhibit significantly adverse clinical features, including older age, lower frequency of the non-GCB subtype, advanced Ann Arbor stage (III/IV), poor performance status (ECOG PS ≥ 2), involvement of ≥ 2 extranodal sites, presence of B symptoms, elevated lactate dehydrogenase (LDH) levels, and classification into higher-risk groups according to IPI and NCCN-IPI. …”
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Method for compensating multi-time measurement data of distribution network based on alternating minimization matrix completion combined with VMD-ARIMA-LSTM by Xiaodan Yu, Ruijia Jiang, Xiaolong Jin, Hongjie Jia, Yunfei Mu, Wei Wei, Wanxin Tang

“…The methodology features a dual-timescale approach: (1) At individual time intervals, an alternating-minimization matrix completion model is formulated, incorporating linearized power flow constraints; (2) For multi-timescale analysis, the measurement dataset undergoes VMD-based decomposition, with subsequent specialized processing where ARIMA handles low-frequency components and LSTM manage high-frequency residuals. …”
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Satellite Image Price Prediction Based on Machine Learning by Linhan Yang, Zugang Chen, Guoqing Li

“…For optical imagery, the Bayesian-optimized XGBoost model achieves the best performance (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mo>=</mo><mn>0.9870</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>RMSE</mi><mo>=</mo><mi>$</mi><mn>3.44</mn><mo>/</mo><msup><mi>km</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>NSE</mi><mo>=</mo><mn>0.9651</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>KGE</mi><mo>=</mo><mn>0.8950</mn></mrow></semantics></math></inline-formula>), followed closely by CatBoost (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><mo>=</mo><mn>0.9826</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>RMSE</mi><mo>=</mo><mi>$</mi><mn>3.83</mn><mo>/</mo><msup><mi>km</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula>). …”
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Multi‐omics analysis revealed biomarkers for coronary atherosclerosis: Occurrence and development by Mengxue He, Dongxue Wang, Yong‐Jiang Xu, Jiachen Shi, Aiyang Liu, Xiaoxi Zhao, Yunlai Gao, Yuan He, Yu Zhang, Ru‐Xing Wang, Yuanfa Liu

“…Biomarker panels were refined using random forest models in the testing cohort, and their performance was evaluated in a blinded validation cohort to assess their ability to monitor the occurrence and development of CA. …”
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Evaluation of a short training course of chest X-ray interpretation for the diagnosis of paediatric TB by B. F. Melingui, E. Leroy-Terquem, M. Palmer, J-V. Taguebue, A. P. Wachinou, J. Gaudelus, A. Salomao, D. Bunnet, T. C. Eap, L. Borand, C. Chabala, C. Khosa, R. Moh, J. Mwanga-Amumpere, M. T. Eang, I. Manhiça, A. Mustapha, S. Beneteau, L. Falzon, J. A. Seddon, L. Berteloot, E. Wobudeya, O. Marcy, M. Bonnet, P. Y. Norval

“…METHODS: Within the TB-Speed Decentralization Study, we developed a three half-day training course to identify normal CXR, CXR of good quality and identify six TB-suggestive features. We performed a pre–post training assessment on a pre-defined set of 20 CXR readings. …”
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Renal MRI radiomics in Beckwith–Wiedemann syndrome: a novel imaging approach for genotype identification by Mei Bai, Xiansheng Wu, Jinghui Wang, Miaoying Zhang, Zhongwei Qiao, Lin Zhang, Jungang Liu

“…Pearson correlation analysis was conducted to evaluate the relationship between patients’ age and renal volume. Radiomic features derived from the T2WI sequence and the ADC map were selected to construct single-sequence and combined models. …”
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Reliable Event Detection via Multiple Edge Computing on Streaming Traffic Social Data by Yipeng Ji, Jingyi Wang, Yan Niu, Hongyuan Ma

“…Since a social traffic event is often described by multiple social media texts, it is significant to perform traffic event detection on streaming social media texts. …”
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Optimized AI and IoT-Driven Framework for Intelligent Water Resource Management by Mahmoud Badee Rokaya Mahmoud, Dalia Ismaeil Ibrahim Hemdan, Samah Hazzaa Alajmani, Raneem Yousif Alyami, Ghada Elmarhomy, Hassan Hashim, El-Sayed Atlam

“…Moreover, ontology-based feature structuring enhances interpretability, while hyperparameter tuning (GridSearchCV, Bayesian Optimization) and model compression techniques (pruning, quantization, knowledge distillation) ensure computational efficiency. …”
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An interpretable integrated machine learning framework for genomic selection by Jinbu Wang, Jia Zhang, Wenjie Hao, Wencheng Zong, Mang Liang, Fuping Zhao, Longchao Zhang, Lixian Wang, Huijiang Gao, Ligang Wang

“…In this study, we conducted a comprehensive analysis comparing the performance of various ML models, along with investigations into parameter optimization, dimensionality reduction, feature selection, and the “black box” problem. …”
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Pose detection and localization of pineapple fruit picking based on improved litehrnet by Pinlan Chen, Pinlan Chen, Bin Yan, Bin Yan, Ganran Deng, Ganran Deng, Guojie Li, Guojie Li, Zhende Cui, Zhende Cui, Shuang Zheng, Shuang Zheng, Fengguang He, Fengguang He, Ling Li, Ling Li, Xilin Wang, Xilin Wang, Sili Zhou, Sili Zhou, Shuangmei Qin, Shuangmei Qin, Zehua Liu, Zehua Liu, Ye Dai, Ye Dai

“…In the model design, LTHRNet incorporates the LKA_Stem module to enhance initial feature extraction, the D-Mixer module to capture both global and local feature relationships, and the MS-FFN module to achieve multi-scale feature fusion. …”
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GIS-MONITORING FORMATION OF ETHNIC STRUCTURE OF POPULATION OF URBAN AGLOMERATIONS IN RUSSIA by A. A. Cherkasov, N. V. Sopnev, V. R. Gaydukov

“…Within the framework ofthe research, geoinformation modeling and mapping of ethnic processes were performed. …”
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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction by Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham

“…An evolutionary algorithm is applied to select the most informative features from an initial set of 2550 EEG statistical features. …”
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A New Spectral Class of Brown Dwarfs at the Bottom of the IMF in IC 348 by K. L. Luhman, C. Alves de Oliveira

“…Two of the new brown dwarfs also exhibited absorption features from an unidentified aliphatic hydrocarbon, which were not predicted by atmospheric models and were not previously detected in atmospheres outside of the solar system. …”
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