An upgraded high-precision gridded precipitation dataset for the Chinese mainland considering spatial autocorrelation and covariates by J. Hu, C. Miao, J. Su, Q. Zhang, J. Gou, J. Gou, Q. Sun, Q. Sun

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Multiscale Eight Direction Descriptor-Based Improved SAR–SIFT Method for Along-Track and Cross-Track SAR Images by Wei Wang, Jinyang Chen, Zhonghua Hong

“…Then, the SUSAN function is used to constrain the effect of coherent noise on the initial feature points, and the multi-scale and multi-directional GLOH descriptor construction approach is used to boost the robustness of descriptors. To improve efficiency, the method adopts the main and additional image overlapping area matching method to reduce the search range and uses multi-core CPU+GPU collaborative parallel computing to boost the efficiency of the SAR–SIFT algorithm by block processing the overlapping area. …”
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Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the USResearch in co... by Yue Zhang, Nasrollah Ghahramani, Runjia Li, Vernon M. Chinchilli, Djibril M. Ba

“…Eight machine learning models, primarily including extreme gradient boosting (XGBoost), neural network, and random forest (RF), were applied. …”
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Multi-machine learning model based on radiomics features to predict prognosis of muscle-invasive bladder cancer by Bin Wang, Zijian Gong, Peide Su, Guanghao Zhen, Tao Zeng, Yinquan Ye

“…Additionally, 54 patients with muscle-invasive bladder cancer were retrospectively collected from our hospital to serve as an external test group; their enhanced CT imaging data were analyzed and processed to identify the most relevant radiomic features. …”
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The mediating effect of self-perceived aging on social capital and depression among Chinese community-dwelling older adult: a cross-sectional study by Yuguo Ye, Hui Liu, Ziming Wang, Qianwei Zhang, Shifan Yang, Lian Yang

“…BackgroundAmid an aging society, boosting older adult social capital is crucial to meet their growing health needs. …”
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Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and I... by Kyungchul Song, Taehoon Ko, Hyun Wook Chae, Jun Suk Oh, Ho-Seong Kim, Hyun Joo Shin, Jeong-Ho Kim, Ji-Hoon Na, Chae Jung Park, Beomseok Sohn

“…The extreme gradient boosting algorithm was used to train the prediction models. …”
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The influence of frequency and temperature on the AC-conductivity in $$\text {TlInTe}_2$$ semiconductor single crystal by Mohamed M. Fangary, Muhammad A. O. Ahmed

“…Complementing our experimental findings, Machine Learning (ML) models, including Random Forest and Gradient Boosting, were employed to predict AC conductivity, revealing significant predictors and corroborating the experimental insights with high accuracy. …”
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The role of melatonin in the regulation of the immune system and reproductive health: mechanisms and prospects for clinical application by M. M. Zhelavskyi, S. P. Kernychnyi, O. Ya. Dmytriv, T. V. Betlinska

“…In reproduction, melatonin influences key processes such as oocyte maturation, embryo development, and pregnancy maintenance. …”
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…Moreover, the RPA model offered valuable insights to assist clinicians in refining prognostic assessments and optimizing clinical decision-making processes.…”
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Exercise promotes skeletal muscle growth in adolescents via modulating Mettl3-mediated m6A methylation of MyoD in muscle satellite cells by Shujing Feng, Hao Zhou, Xingzuan Lin, Siyuan Zhu, Huifang Chen, Han Zhou, Ru Wang, Peng Wang, Xiexiang Shao, Jianhua Wang

“…Emerging evidence suggests that m6A methylation is involved in various physiological processes. However, the impact of exercise on adolescent skeletal muscle growth and the underlying epigenetic mechanisms remain poorly understood. …”
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Synthesis O-g-C₃N₄/TiO₂ rutile composite material for photocatalytic application by M. E. Bondarenko, P. M. Silenko, Yu. M. Solonin, N. I. Gubareni, O. Yu. Khyzhun, N. Yu. Ostapovskaya

“…Scientific research towards of solving this important task showed the expediency of using photocatalytic processes with the participation of semiconductor systems. …”
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PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorder... by Christine Knaevelsrud, Sebastian Burchert, Till Langhammer, Leona Hammelrath, Annette Brose, Manuel Heinrich, Pavle Zagorscak

“…Predictive analyses focus on classification of non-response using basic algorithms (ie, logistic regression and gradient boosting) for straightforward interpretability and advanced methods (LSTM, DSEM) to capture complex temporal and hierarchical patterns. …”
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Enhancing bloodstream infection diagnostics: a novel filtration and targeted next-generation sequencing approach for precise pathogen identification by Ting-Syuan Lin, Ting-Syuan Lin, Ting-Syuan Lin, ZiHao Zhu, ZiHao Zhu, ZiHao Zhu, XiaoHong Lin, Hsi-Yuan Huang, Hsi-Yuan Huang, Hsi-Yuan Huang, Li-Ping Li, Li-Ping Li, Li-Ping Li, Jing Li, Jing Li, Jing Li, Jie Ni, Jie Ni, Jie Ni, PeiZhi Li, LanChun Chen, WeiXin Tang, HuiXin Liu, XiaoLong Se, MingFei Xie, Canling Long, Chih-Min Chiu, Szu-Han Fang, JiaMing Zhao, Yang-Chi-Dung Lin, Yang-Chi-Dung Lin, Yang-Chi-Dung Lin, XueTao Yu, Hsien-Da Huang, Hsien-Da Huang, Hsien-Da Huang, Hsien-Da Huang

“…These methods often yield low positive rates, have lengthy processing times that delay treatment, and are limited in detecting only a narrow range of pathogens. …”
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Households’ Preference for Local Rice in the Upper East Region, Ghana by Dennis Sedem Ehiakpor, Justice Apumbora, Gideon Danso-Abbeam, William Adzawla

“…Hence, increased investment in the rice value chain, particularly the processing stage where quality standards remain the topmost priority, will help boost consumers’ confidence in the local rice market.…”
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Revolutionising young adult diabetes care: a patient-centred transformation to improve access, engagement and outcomes in one of England's most deprived areas by Tala Balafshan, Heather Sullivan, Suzanne Keigan, Amanda Wilson, Ifeoluwa Oyedeji

“…Materials and methods: We implemented data-driven, multidisciplinary interventions to optimise care delivery and reduce healthcare burdens1,2: • Reducing DNA rates: pre-appointment outreach by healthcare assistants reduced DNA rates from 50% to 18.1%, while follow-up waiting times decreased from 5.5 months to 3 months, boosting engagement and clinic efficiency. • Improving access: a dedicated email service and urgent access clinic allowed patients to bypass traditional appointment barriers, ensuring timely advice and intervention. • Preventing emergency admissions: early identification and personalised management plans reduced recurrent diabetic ketoacidosis (DKA) admissions by 80%, improving patient safety. • Expanding diabetes technology: 87.8% of patients now use continuous glucose monitoring (CGM), with most insulin pump users transitioning to hybrid closed-loop systems, improving glycaemic control and autonomy. • Continuous quality improvement: annual audits of nine key care processes maintained high standards, achieving a median HbA1c of 63 mmol/mol, among the best nationally. …”
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Assessing changes in atmospheric circulation due to ecohydrological restoration: how can global climate models help? by Anastassia M. Makarieva, Anastassia M. Makarieva, Anastassia M. Makarieva, Andrei V. Nefiodov, Andrei V. Nefiodov, Andrei V. Nefiodov, Luz Adriana Cuartas, Luz Adriana Cuartas, Antonio Donato Nobre, Antonio Donato Nobre, Felipe Pasini, Felipe Pasini, Dayana Andrade, Dayana Andrade, Paulo Nobre, Paulo Nobre

“…In a steady-state hydrological cycle, terrestrial precipitation is divided into evapotranspiration-a measure of biological productivity-and liquid water runoff. Both processes are crucial to local communities, and ecohydrological restoration should enhance both. …”
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Enhancing Handwritten Digit Recognition using Auxiliary Classifier Generative Adversarial Networks and Self-attention Mechanism by Hu Tingkai

“…The outcomes reveal that the recognition accuracy and processing speed have been significantly boosted, validating the adaptability and usefulness of the design in various procedure circumstances. …”
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Interplay of quantum resources in nonlocality tests by Hai-Hao Dong, Yuwei Zhu, Su-Yi Cheng, Xingjian Zhang, Cheng-Long Li, Ying-Zhao Li, Hao Li, Lixing You, Xiongfeng Ma, Qiang Zhang, Jian-Wei Pan

“…This experimental study sheds light on the optimal management of quantum resources for Bell-inequality-based quantum information processing.…”
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Scheme Analysis for Enhancing Autonomous Driving Based on Computer Vision by Chen Xinyi, Luo Binbin, Xu Ziyue

“…Additionally, multi-sensor fusion technology boosts the reliability and the robustness of autonomous driving systems. …”
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Particle swarm optimization-based NLP methods for optimizing automatic document classification and retrieval. by Bowen Zeng, Xianhe Shang, Rong Lu, Yugui Zhang

“…By utilizing BERT for text pre-training and combining it with the ConvXGB module for classification, the model significantly boosts performance. Hyperparameters are optimized using Particle Swarm Optimization (PSO), enhancing overall accuracy. …”
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