Analysis of Influencing Factors and Construction of a Column Chart Model for Postoperative Pulmonary Infection in Patients With Severe Traumatic Brain Injury by Wu G, Zhong X, Chen J

“…The constructed column chart prediction model had high discrimination, calibration, and clinical practical value.Conclusion: The column chart model, incorporating age, diabetes, tracheotomy, operation time, sputum excretion position, mechanical ventilation duration and GCS score, can effectively predict pulmonary infections in severe traumatic brain injury patients.Keywords: severe traumatic brain injury, pulmonary infection, influencing factors, column chart…”
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Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches by Marco Siino, Mariana Falco, Daniele Croce, Paolo Rosso

“…From 61 selected publications, we identified key application categories such as legal document analysis, case prediction, and contract review, along with their main characteristics. …”
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Understanding City-Wide Ride-Sourcing Travel Flow: A Geographically Weighted Regression Approach by Chuqiao Chen, Simon Hu, Washington Y. Ochieng, Na Xie, Xiqun (Michael) Chen

“…(c) Based on the estimated coefficients, the prediction of ride-sourcing flows is feasible, supporting the impact analysis for urban land use and transportation planning. …”
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A Hybrid Model through the Fusion of Type-2 Fuzzy Logic Systems and Sensitivity-Based Linear Learning Method for Modeling PVT Properties of Crude Oil Systems by Ali Selamat, Sunday Olusanya Olatunji, Abdul Azeez Abdul Raheem

“…Sensitivity-based linear learning method (SBLLM) has recently been used as a predictive tool due to its unique characteristics and performance, particularly its high stability and consistency during predictions. …”
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Confidence-Aware Embedding for Knowledge Graph Entity Typing by Yu Zhao, Jiayue Hou, Zongjian Yu, Yun Zhang, Qing Li

“…Knowledge graphs (KGs) entity typing aims to predict the potential types to an entity, that is, (entity, entity type = ?). …”
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Cooperative game scheduling and revenue sharing strategy for virtual power plants considering scenery uncertainty by SONG Duoyang, XUE Tianliang, LI Yipu, TU Jintong, BI Yuhao, WANG Mankang

“…Finally, the example results show that the proposed method effectively improves the prediction accuracy of wind power, realizes the cooperative and complementary operation among alliances within the virtual power plant, and ensures the fairness and reasonableness of the revenue distribution among multiple subjects.…”
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Multi-Step Forecasting of Chlorophyll Concentration with Multi-Attention Collaborative Network by Yingying Jin, Feng Zhang, Xia Wang, Lei Wang, Kuo Chen, Liangyu Chen, Yutao Qin, Ping Wu

“…In a marine environment, the concentration of chlorophyll is an important indicator of quality, which is also considered an indicator used to predict the marine ecological environment, which is further considered an important means of predicting red tide disasters. …”
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Analyzing factors of daily travel distances in Japan during the COVID-19 pandemic by Masaya Mori, Yuto Omae, Yohei Kakimoto, Makoto Sasaki, Jun Toyotani

“…The findings indicated that tree-based models, especially LightGBM, performed better in terms of prediction. In addition, the cumulative number of vaccinated individuals and the number of newly infected individuals are likely explanatory factors for changes in human flow. …”
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System-Level Digital Twin Modeling for Underwater Wireless IoT Networks by Lei Wang, Lei Yan, Xinbin Li, Song Han

“…We introduce a voting-based security prediction model to significantly bolster security in underwater wireless communication. …”
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Application of attenuated total reflection-Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome. by Tz-Ping Gau, Jen-Hung Wen, I-Wei Lu, Pei-Yu Huang, Yao-Chang Lee, Wei-Po Lee, Hsiang-Chun Lee

“…Lipid profile value prediction was evaluated using R2 and MAE, whereas MetS prediction was evaluated using area under the ROC curve.…”
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Research progress of MRI-based radiomics in hepatocellular carcinoma by Xiao-Yun Xie, Rong Chen

“…These encompass tumor differentiation, subtype classification, histopathological grading, prediction of microvascular invasion (MVI), assessment of treatment response, early recurrence prognostication, and metastasis prediction.ConclusionMRI radiomics emerges as a promising adjunctive tool for early HCC detection and personalized preoperative decision-making, with the overarching goal of optimizing patient outcomes. …”
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Development of hypertensive complications in oocyte donation pregnancy: protocol for a systematic review and individual participant data meta-analysis (DONOR IPD) by Saskia le Cessie, Marie-Louise van der Hoorn, Jan van Lith, Eileen Lashley, Kim van Bentem

“…Furthermore, IPD will be used to externally validate a prediction model for the development of PE in OD pregnancy.Methods and analysis A systematic literature search will be performed to search for studies that included women pregnant by OD, and documented on hypertensive complications in OD pregnancy. …”
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Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms by Zhichao Wang, Long Cheng, Guanghui Li, Huiyan Cheng

“…Further validation in larger cohorts could lead to their clinical application in PE prediction and treatment.…”
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Smart Predictor for Spontaneous Combustion in Cotton Storages Using Wireless Sensor Network and Machine Learning by Umar Farooq Shafi, Waheed Anwar, Imran Sarwar Bajwa, Hina Sattar, Iqra Yaqoob, Aqsa Mahmood, Shabana Ramzan

“…In current research, we propose an efficient wireless sensor network (WSN) and machine learning- (ML-) based storage area monitoring system for early prediction of spontaneous combustion in the cotton storage area. …”
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Weakly Supervised Nuclei Segmentation with Point-Guided Attention and Self-Supervised Pseudo-Labeling by Yapeng Mo, Lijiang Chen, Lingfeng Zhang, Qi Zhao

“…To address these issues, we propose a method based on center-point prediction and pseudo-label updating for precise nuclei segmentation. …”
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Near‐surface permafrost extent and active layer thickness characterized by reanalysis/assimilation data by Zequn Liu, Donglin Guo, Wei Hua, Yihui Chen

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Quadratic descriptors and reduction methods in a two-layered model for compound inference by Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, Ryota Ido, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

“…Experimental results show that for 32 chemical properties of monomers and 10 chemical properties of polymers, the prediction functions constructed by the proposed method achieved high test coefficients of determination. …”
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Nonlinear Waveform Sensing for Cognitive Radar Based on Reinforcement Learning by Peikun Zhu, Xu Si, Jiachen Han, Jing Liang

“…It embraces the Riccati equation and Riccati-like iterative calculations to obtain the prediction error covariance (PEC) and the prediction Bayesian Cramér–Rao lower bound (PBCRLB), respectively, which are used to guide the optimal waveform design. …”
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The Optimization Model for Reducing RON Loss in Gasoline Refining Process by Xuefei Lu, Xiaoyan Wang, Yifang Yang, Jianan Xue

“…The sulfur content and RON prediction model was constructed, which use evaluation functions such as MSE, R2, and RMSE to evaluate and sulfur content as the subject condition. …”
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NERVE 2.0: boosting the new enhanced reverse vaccinology environment via artificial intelligence and a user-friendly web interface by Andrea Conte, Nicola Gulmini, Francesco Costa, Matteo Cartura, Felix Bröhl, Francesco Patanè, Francesco Filippini

“…We renewed some of its modules and added innovative ones, such as Loop-Razor, to recover fragments of promising vaccine candidates or Epitope Prediction for the epitope prediction binding affinities and population coverage. …”
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