Small RNA sequencing highlights potential functions of tsRNAs in regulating pyroptosis in trigeminal neuralgia by Mizhen Qiu, Fei Zeng, Yi Yan, Mu Xu, Xuexue Zhang, Zhijian Wang, Yutong Wang, Daying Zhang, Shibiao Chen

“…The expression of caspase-1, IL-1β, and IL-18 was significantly boosted after TN induction. CoPP + H2O2 exposure induced cell injury and pyroptosis of rat Schwann RSC96 cells, but reversed by VX-765 (a caspase-1 inhibitor). …”
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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

“…Four ML models are trained: Random Forest Regression (RF), Extreme Gradient Boosting (XGBoost), Support Vector Regression (SVR) and Artificial Neural Networks (ANN). …”
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A multiresolution approach with method-informed statistical analysis for quantifying lymphatic pumping dynamics by Mohammad S. Razavi, Katarina J. Ruscic, Elizabeth G. Korn, Marla Marquez, Timothy T. Houle, Dhruv Singhal, Lance L. Munn, Timothy P. Padera

“…This approach not only offers detailed insights into lymphatic pumping behaviors across species, sex and age, but also significantly boosts the reliability of these measurements by incorporating multiple regions of interest and evaluating the lymphatic system under various gravitational loads. …”
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Adaptive cognitive control in 4 to 7-year-old children and potential effects of school-based yoga-mindfulness interventions: an exploratory study in Italy by Lisa Toffoli, Giulia Stefanelli, Giulia Manca, Fiorella Del Popolo Cristaldi, Gian Marco Duma, Michele Guidi, Francesca Incagli, Luca Sbernini, Luca Sbernini, Vincenza Tarantino, Giovanni Mento, Giovanni Mento

“…Finally, we observed a post-intervention increase of the capability to implicitly adapt motor preparation/inhibition and a boosting effect on the interference control functions.DiscussionOverall, these findings confirmed that adaptive CC is already present in preschool-aged children, extending these results to include 4-years-olds. …”
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Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

“…Backpropagation neural network (BP), Stacked Ensemble Learning (SEL), and Gradient Boosting Decision Tree (GBDT) models were employed to develop CHL monitoring models for the maize canopy. …”
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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

“…Subsequently, the partial dependence plot(PDP) method and SHapley Additive exPlanations (SHAP) were utilized to explain the roles of important variables in the model to filter out the optimal indicators for constructing the MASLD risk model.ResultsRanking the feature importance of the Random Forest (RF) model and eXtreme Gradient Boosting (XGBoost) model constructed using all variables found that both homeostasis model assessment of insulin resistance (HOMA-IR) and triglyceride glucose-waist circumference (TyG-WC) were the first and second most important variables. …”
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Aggressively scaled T-Gated GaN-on-silicon RF power HEMT featuring step graded SRL-AlGaN buffer for next generation broad band power amplifiers by A Akshaykranth, J Ajayan, Sandip Bhattacharya, D Nirmal, Santhosh Paramasivam, Gianluca Gatto, Amit Kumar

“…In addition, the results of LG scaling on GM & other capacitance parameters have been analysed, which prefer a best way for boosting DC & RF performances of GaNHEMTs. Reducing the LGS and LGD distances in this HEMT minimizes the channel length, allowing for faster carrier transport and increasing both the transconductance (GM) and drain current. …”
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The Extraordinary Long-lasting Infrared Echo of PS16dtm Reveals an Extremely Energetic Nuclear Outburst by Ning Jiang, Di Luo, Jiazheng Zhu, Roc M. Cutri

“…Such large energetic output compared to normal TDEs could be boosted by the preexisting accretion disk and gas clouds around the black hole. …”
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Equivalent method for DFIG wind farms based on modified LightGBM considering voltage deep drop faults by Xuecheng Liu, Peixiao Fan, Jun Yang, Song Ke, Binyu Ma, Yangzhou Pei, Jian Xu

“…To address the challenges of inadequate accuracy in identifying the Crowbar action state and incomplete consideration of operating scenarios in existing methods for Doubly Fed Induction Generator (DFIG) wind farms, a DFIG wind farm equivalent method based on modified Light Gradient Boosting Machine (mLightGBM) considering voltage deep drop faults is proposed. …”
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Targeting protein kinase C-α prolongs survival and restores liver function in sepsis: Evidence from preclinical models by Ling Xiong, Dustin Beyer, Na Liu, Tina Lehmann, Sophie Neugebauer, Sascha Schaeuble, Oliver Sommerfeld, Philipp Ernst, Carl-Magnus Svensson, Sandor Nietzsche, Sebastian Scholl, Tony Bruns, Nikolaus Gaßler, Markus H. Gräler, Marc Thilo Figge, Gianni Panagiotou, Michael Bauer, Adrian T. Press

“…In septic animals, both approaches significantly boosted survival rates. Midostaurin is the clinically approved active pharmaceutical ingredient in Rydapt, approved for the adjuvant treatment of FTL3-mutated AML. …”
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Evaluating ChatGPT-4's performance on oral and maxillofacial queries: Chain of Thought and standard method by Kaiyuan Ji, Zhihan Wu, Jing Han, Guangtao Zhai, Guangtao Zhai, Jiannan Liu

“…In the realm of multiple-choice questions, the application of CoT method boosted ChatGPT-4's accuracy across all major subjects, achieving an overall accuracy increase of 3.1%.ConclusionsWhen employing ChatGPT-4 to address questions in oral and maxillofacial surgery, incorporating CoT as a querying method can enhance its performance and help the public improve their understanding and awareness of such issues. …”
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Interfacial Acid‐Like Microenvironment and Orbital Modulating Strategy toward Efficient Hydrogen Evolution in Neutral High‐Salinity Wastewater/Seawater by Lina Xu, Wei Li, Kuanchang He, Dongmei Ma, Jinxing Ma, Kui Yang, Abid Ahmad, Faliang Cheng, Sihao Lv, Defeng Xing

“…Consequently, the HxWO3 Ni demonstrates remarkable performance characteristics, boasting a mere 131 mV overpotential at 10 mA cm−2 and Tafel slope of 44 mV dec− in neutral media. …”
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Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study by Yanfei Chen, Bing Wang, Yankai Shi, Wenhao Qi, Shihua Cao, Bingsheng Wang, Ruihan Xie, Jiani Yao, Xiajing Lou, Chaoqun Dong, Xiaohong Zhu, Danni He

“…The study utilised Random Forest and Extreme Gradient Boosting (XGBoost) algorithms alongside traditional logistic regression for modelling. …”
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Long noncoding RNA GDIL acts as a scaffold for CHAC1 and XRN2 to promote platinum resistance of colorectal cancer through inhibition of glutathione degradation by Xuan Deng, Lu Chang, Lingyu Tang, Haoqin Jiang, Xiao Xu, Xinju Zhang, Jian Chen, Liu Dong, Qianqian Xu, Ruoshui Cao, Jianbin Xiang, Ming Guan

“…We demonstrate that GDIL boosted GSH levels and enhances clearance of ROS induced by platinum. …”
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Nonlocal Huygens’ meta-lens for high-quality-factor spin-multiplexing imaging by Jin Yao, Yubin Fan, Yunhui Gao, Rong Lin, Zhihui Wang, Mu Ku Chen, Shumin Xiao, Din Ping Tsai

“…This work provides a versatile framework for nonlocal metasurfaces, boosting biomedical imaging and sensing applications.…”
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VSIG4+ tumor-associated macrophages mediate neutrophil infiltration and impair antigen-specific immunity in aggressive cancers through epigenetic regulation of SPP1 by Zongfu Pan, Jinming Chen, Tong Xu, Anqi Cai, Bing Han, Ying Li, Ziwen Fang, Dingyi Yu, Shanshan Wang, Junyu Zhou, Yingying Gong, Yulu Che, Xiaozhou Zou, Lei Cheng, Zhuo Tan, Minghua Ge, Ping Huang

“…Further combination of VSIG4 with SPP1 blockade synergistically boosted anti-tumor activity. Overall, our studies demonstrate the epigenetic regulation function of VSIG4 confers on TAMs an alternative pattern, beyond the checkpoint role of VSIG4, to shape the immunosuppressive tumor microenvironment and impair antigen-specific immunity against aggressive cancers. …”
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All-Cause Mortality Prediction in Subjects with Diabetes Mellitus Using a Machine Learning Model and Shapley Values by Oana Mirea, Mostafa Ghelich Oghli, Oana Neagoe, Mihaela Berceanu, Eugen Țieranu, Liviu Moraru, Victor Raicea, Ionuț Donoiu

“…Methods: We included 1969 consecutive patients with DM type 1 (T1DM, <i>n</i> = 255) and type 2 (T2DM, <i>n</i> = 1714). eXtreme Gradient Boosting (XGBoost) was used for the prediction of all-cause mortality in this cohort and the Shapley additive explanation (SHAP) was used to assess the importance of each feature of the classifier. …”
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Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease by Xunliang Li, Zhijuan Wang, Wenman Zhao, Rui Shi, Yuyu Zhu, Haifeng Pan, Deguang Wang

“…Among the six models generated, the eXtreme Gradient Boosting (XGBoost) model demonstrated the highest AUC at 0.837. …”
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Machine learning-based prediction of the mechanical properties of β titanium shape memory alloys by Naoki Nohira, Taichi Ichisawa, Masaki Tahara, Itsuo Kumazawa, Hideki Hosoda

“…Four ML algorithms—Linear Regression (LIN), Support Vector Regression (SVR), Random Forest Regression (RFR), and Gradient Boosting Regression (GBR)—were employed and evaluated using metrics like mean absolute error (MAE), mean squared error (MSE), and coefficient of determination (R2). …”
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Complex multivariate model predictions for coral diversity with climatic change by Tim R. McClanahan, Maxwell K. Azali, Nyawira A. Muthiga, Sean N. Porter, Michael H. Schleyer, Mireille M. M. Guillaume

“…A number of these aspects were evaluated using boosted regression tree models of numbers of coral taxa trained on ~1000 field surveys and 35 spatially complete influential environmental proxies at moderate scales (~6.25 km2). …”
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