Identification and Functional Analysis of PANoptosis‐Associated Genes in the Progression From Sepsis to ARDS by Zhong‐Hua Lu, Yan Tang, Hu Chen, Feng Liu, Mei Liu, Lu Fu, Xian‐Kai Wang, Ming‐Juan Li, Wei‐Li Yu, Yun Sun

“…Immunohistochemical analysis was used to evaluate PRG expression in lung tissue. Results The prediction model effectively distinguished septic ARDS patients from those with sepsis. …”
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PlaceField2BVec: A bionic geospatial location encoding method for hierarchical temporal memory model by Zugang Chen, Shaohua Wang, Kai Wu, Guoqing Li, Jing Li, Jian Wang

“…For BinaryLSTM, PlaceField2BVec always had the highest accuracy in location prediction although the accuracy decreased as the space extended. …”
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Unveiling the Microbial Symphony of Amasi: A Targeted Metagenomic 16S rRNA, ITS, and Metabolites Insights Using Bovine and Caprine Milk by Betty Olusola Ajibade, Titilayo Adenike Ajayeoba, Saheed Sabiu, Konstantin V. Moiseenko, Sizwe Vincent Mbona, Errol D. Cason, Tatyana V. Fedorova, Oluwatosin Ademola Ijabadeniyi

“…It was found that the amino acid and drug metabolism pathway prediction values in Amasi samples were significantly higher (<i>p</i> < 0.05) than in raw cow and goat milk, according to the inferred analysis (PICRUSt). …”
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Bidirectional relationship between depression and activities of daily living and longitudinal mediation of cognitive function in patients with Parkinson’s disease by Yue Xu, Yue Xu, Durong Chen, Meiqi Dong, Yun Zhang, Yun Zhang, Hongmei Yu, Hongmei Yu, Hongmei Yu, Yanqing Han, Yanqing Han, Yanqing Han

“…Then, we explored the mediating role of cognitive function in the bidirectional relationship between depression and ADL in patients with PD, and the mediation effect test was carried out using a bias-corrected nonparametric percentile bootstrap approach.ResultsDepression in patients with PD predicted their subsequent ADL (β = 0.079, p &lt; 0.01), and ADL also predicted their subsequent depression (β = 0.069, p &lt; 0.05), In addition, Bootstrap analysis showed that cognitive function played a significant mediating role in prediction of depression to ADL in patients with PD (β = 0.006, p = 0.074, 95%CI = 0.001 ~ 0.014), and cognitive function also played a significant mediating role in prediction of depression to ADL (β = 0.006, p = 0.067, 95%CI = 0.001 ~ 0.013).ConclusionThere is a bidirectional relationship between depression and ADL in patients with PD. …”
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Evaluating the effectiveness of handheld ultrasound in primary blast lung injury: a comprehensive study by Shifeng Shao, Zhengbin Wu, Jun Liu, Zhikang Liao, Yuan Yao, Liang Zhang, Yaoli Wang, Hui Zhao

“…The scores accurately predicted injury severity at various time points within 24 h post-injury, and the 0.5 h lung ultrasound score predicted 24 h mortality with 95.8% efficiency. …”
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Trends and Gaps in Digital Precision Hypertension Management: Scoping Review by Namuun Clifford, Rachel Tunis, Adetimilehin Ariyo, Haoxiang Yu, Hyekyun Rhee, Kavita Radhakrishnan

“…Precision health strategies emphasizing predictive, preventive, and personalized care through digital tools offer notable opportunities to optimize the management of HTN. …”
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Assimilating FY-4B AGRI Three Water Vapor Channels in Operational Shanghai Typhoon Model (SHTM) Using GSI-Based 3-DVar Approach by Zeyi Niu, Lei Zhang, Yuhua Yang, Yang Han, Hong Li, Dongliang Wang, Wei Huang, Fuzhong Weng

“…However, for the forecast lead time of 48&#x2013;120 h, there is a considerable improvement in terms of the threat scores of predicting the precipitation exceeding 50 mm, suggesting the positive effects of assimilating clear-sky and future all-sky FY-4B AGRI WV radiances.…”
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Longitudinal MRI evaluation of the efficacy of non-enhanced lung cancer brain metastases by Xian Zhang, Jun Yang, Hong Hu, Yong Wang, Zhenfeng Zhang, Jinhao lv, Junping Li

“…Evaluating the enhancement type of lung cancer BM is essential for efficacy prediction and holds important implications for treatment guidance.…”
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

“…In Yunnan province, China, the incidence of mumps has fluctuated markedly and is higher than that in mainland China, underscoring the need for improved outbreak prediction methods. Traditional surveillance methods, however, may not be sufficient for timely and accurate outbreak prediction. …”
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European System for Cardiac Operative Risk Evaluation II and Liver Dysfunction by Andreea Ludusanu, Adelina Tanevski, Bogdan Mihnea Ciuntu, Razvan Lucian Bobeica, Dragos Andrei Chiran, Cristinel Ionel Stan, Viorel Dragos Radu, Vasile Lucian Boiculese, Grigore Tinica

“…The model for End-Stage Liver Disease (MELD) Score has already proven its utility in predicting outcomes for patients undergoing abdominal, cardiovascular or urological surgery. …”
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Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization by Luchen Chang, Jiamei Liu, Jialin Zhu, Shuyue Guo, Yao Wang, Zhiwei Zhou, Xi Wei

“…Despite challenges such as data quality, model interpretability, integration of multi-modal data, and privacy protection, the ongoing advancements in AI, coupled with interdisciplinary collaboration, are poised to further enhance AI’s roles in biomarker discovery and immunotherapy response prediction. These improvements are expected to lead to more accurate, personalized treatment strategies and ultimately better patient outcomes, marking a significant step forward in the evolution of precision medicine.…”
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Prediksi Detak Jantung Berbasis LSTM pada Raspberry Pi untuk Pemantauan Kesehatan Portabel by Ahmad Foresta Azhar Zen, Eko Sakti Pramukantoro, Kasyful Amron, Viera Wardhani, Putri Annisa Kamila

“…In this study, we propose a Long Short-Term Memory (LSTM)-based heart beat prediction model using RR-Interval as features  and implement it on the Raspberry Pi device. …”
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Experimental Study of a Broadband Parametric Acoustic Array for Sub-Bottom Profiling in Shallow Water by Ke Qu, Binbin Zou, Jingjing Chen, Yingge Guo, Runtian Wang

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Optimal State Estimation for Discrete-Time Markov Jump Systems with Missing Observations by Qing Sun, Shunyi Zhao, Yanyan Yin

“…For systems with known information, a conditional prediction of observations is applied and fault observations are replaced and isolated; then, an FDI linear minimum mean square error estimation (LMMSE) can be developed by comprehensive utilizing of the correct information offered by systems. …”
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Film Cooling Effectiveness Data for Simple Injection Geometries: A Collection of Three-Axis Plots by L. D. Stone, R. J. Goldstein

“…It is also seen that a slot-plate prediction/correlation from two-dimensional film cooling studies makes an excellent standard of comparison for all film cooling studies, even though the more commonly encountered (two-axis) comparisons using standardized nondimensional parameters do not usually suggest this.…”
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Data Analysis Method of Intelligent Analysis Platform for Big Data of Film and Television by Youwen Ma, Yi Wan

“…Based on the study of the impact of each attribute of film and television drama on film box office and TV audience rating, it is committed to the prediction of film and television industry and constantly verifies and improves the algorithm model.…”
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Research on Demand Forecasting Information Sharing Strategy of Closed-Loop Supply Chain considering Advertising Effect by Liying Li, Xinyu Hou, Lixia Niu

“…Based on the uncertain market demand, this paper studies the sharing strategy of each main body of the closed-loop supply chain for demand prediction information and introduces the variable of advertising effect into the model. …”
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An Improved Nonlinear Aerodynamic Derivative Model of Aircraft at High Angles of Attack by Mi Baigang, Yu Jingyi

“…A modified nonlinear aerodynamic derivative model for predicting unsteady aerodynamic forces and moments at a high angle of attack is developed in this study. …”
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Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology by Jieru Zhang, Ying Ju, Huijuan Lu, Ping Xuan, Quan Zou

“…In this study, various protein fingerprint features and advanced classifiers, including ensemble learning techniques, were utilized to identify this group of proteins. We improved the prediction accuracy of the original feature extraction methods and classification algorithms by more than 10% on average. …”
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Precision Measurement of the Position-Space Wave Functions of Gravitationally Bound Ultracold Neutrons by Y. Kamiya, G. Ichikawa, S. Komamiya

“…The quantum modulation of neutron bound states measured in this experiment shows good agreement with the prediction from quantum mechanics.…”
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