Understanding structural conservation through materials science: strategies and didactics by Laura Fuster-López, Cecil Krarup Andersen

“…In this context, engineering mechanics can help determine the strength and stability found in art objects as it can provide both explanation and prediction of failure in materials. It has therefore shown to be an effective method for developing useful solutions to conservation problems. …”
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Memory Property of Grey Accumulation Generation Sequence by Lifeng Wu, Xiaohui Gao, Yan Chen

“…It also explains the reason that one-order accumulation can be used in grey prediction.…”
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Modeling and Simulation of Real Estate Valuation Based on Genetic Neural Network Model by Shuli Shen

“…The nonlinear relationship between housing characteristics and real estate value is difficult to calculate, resulting in the difficulty of house price prediction. Based on this, the relationship model between characteristic variables and house prices is constructed by using the machine learning method. …”
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Water Hammer Modelling and Simulation by GIS by K. Hariri Asli, A. K. Haghi, H. Hariri Asli, E. Sabermaash Eshghi

“…The experimental results of laboratory model and the field test results showed the validity of prediction achieved by computational model.…”
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Pain Sensitivity Mediates The Relationship between Stress and Headache Intensity in Chronic Tension-Type Headache by Stuart Cathcart, Navjot Bhullar, Maarten Immink, Chris Della Vedova, John Hayball

“…BACKGROUND: A central model for chronic tension-type headache (CTH) posits that stress contributes to headache, in part, by aggravating existing hyperalgesia in CTH sufferers. The prediction from this model that pain sensitivity mediates the relationship between stress and headache activity has not yet been examined.…”
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Expenditure Effects of Intergovernmental Transfers – the Case of Slovenia by Primož Pevcin

“…It is also expected that this effect would be larger than the equivalent increase in local income, prediction labelled as fly-paper effect when related to lump-sum transfers. …”
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Improved integrate-and-fire model for RSA by Michele Barbi, Angelo Di Garbo, Rita Balocchi

“…The model performance is evaluated using a test based on the nonlinear prediction approach. Moreover, a short comparative account of two similar models described in the literature is given.…”
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Intratumoural CD8+ CXCR5+ follicular cytotoxic T cells have prognostic value and are associated with CD19+ CD38+ B cells and tertiary lymphoid structures in colorectal cancer by Fangze Wei, Xiaotian Xu, Jing Wang, Shi Wen Mei, Fu Qiang Zhao, Fei Huang, Ti Xian Xiao, Guo Jing Wang, Baojun Wei, Shengkai Huang, Wei Cui

“…Conclusions The prognostic prediction model has good predictive value. In MSS CRC, TFC cells function mostly in T cell activation and the cell cycle and have low expression of immune checkpoint molecules, which may influence the effectiveness of ICB therapy. …”
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Invasive and Ultrasound Based Monitoring of the Intracranial Pressure in an Experimental Model of Epidural Hematoma Progressing towards Brain Tamponade on Rabbits by Konstantinos Kasapas, Angela Diamantopoulou, Nicolaos Pentilas, Apostolos Papalois, Emmanuel Douzinas, Gregorios Kouraklis, Michel Slama, Abdullah Sulieman Terkawi, Michael Blaivas, Ashot Ernest Sargsyan, Dimitrios Karakitsos

“…The relationship between the ultrasound variables and ICP was exponential; thus curved prediction equations of ICP were used. PI, ONSD, and V were significantly correlated with ICP (r2=0.84±0.076, r2=0.62±0.119, and r2=0.78±0.09, resp. …”
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Decent Estimate of CME Arrival Time From a Data‐Assimilated Ensemble in the Alfvén Wave Solar Atmosphere Model (DECADE‐AWSoM) by Hongfan Chen, Nishtha Sachdeva, Zhenguang Huang, Bart van derHolst, Ward Manchester IV, Aniket Jivani, Shasha Zou, Yang Chen, Xun Huan, Gabor Toth

“…Data assimilation techniques can assist in constraining free model parameters and reduce the uncertainty in subsequent model predictions. In this study, we show that CME simulations conducted with the Space Weather Modeling Framework (SWMF) can be assimilated with SOHO LASCO white‐light (WL) observations and solar wind observations at L1 prior to the CME eruption to improve the prediction of CME arrival time. …”
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Digital Twin-Empowered Green Mobility Management in Next-Gen Transportation Networks by Kubra Duran, Lal Verda Cakir, Achille Fonzone, Trung Q. Duong, Berk Canberk

“…Besides, we perform emission prediction using Multi-Layer Perceptron (MLP), Bidirectional Long Short-Term Memory (Bi-LSTM), and BANE embeddings. …”
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Serum Cytokines Th1, Th2, and Th17 Expression Profiling in Active Lupus Nephritis-IV: From a Southern Chinese Han Population by Keshav Raj Sigdel, Lihua Duan, Yin Wang, Weiping Hu, Ning Wang, Qingyi Sun, Qingyan Liu, Xiaocong Liu, Xianghua Hou, Ao Cheng, Guixiu Shi, Yanlin Zhang

“…The data from our study suggests that the early detection and quantification of these cytokines may help in prediction of active form of LN-IV.…”
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Perioperative estimations of oxygen consumption from LiDCO™plus-derived cardiac output and Ca-cvO2 difference: Relationship with measurements by indirect calorimetry in elderly pat... by Julia Jakobsson, Carl Norén, Eva Hagel, Magnus Backheden, Sigridur Kalman, Erzsébet Bartha

“…Eighty-five simultaneous intra- and postoperative measurements at different perioperative stages were analysed for prediction, parallelity and by traditional agreement assessment.…”
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The Importance of Physiochemical Processes in Decarbonisation Technology Applications Utilizing the Subsurface: A Review by Ieva Kaminskaite, Sandra Piazolo, Andy R. Emery, Nicholas Shaw, Quentin J. Fisher

“…The review identifies several key knowledge gaps that need to be filled to improve reservoir evaluation and performance prediction to be able to utilize the subsurface efficiently and sustainably. …”
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Interpretation of COVID-19 Epidemiological Trends in Mexico Through Wastewater Surveillance Using Simple Machine Learning Algorithms for Rapid Decision-Making by Arnoldo Armenta-Castro, Orlando de la Rosa, Alberto Aguayo-Acosta, Mariel Araceli Oyervides-Muñoz, Antonio Flores-Tlacuahuac, Roberto Parra-Saldívar, Juan Eduardo Sosa-Hernández

“…Overall, while simple, WBS-supported models can provide relevant insights for decision-makers during epidemiological outbreaks, regression algorithms for prediction using low-dimensionality datasets can still be improved.…”
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Sub-District Level Spatiotemporal Changes of Carbon Storage and Driving Factor Analysis: A Case Study in Beijing by Yirui Zhang, Shouhang Du, Linye Zhu, Tianzhuo Guo, Xuesong Zhao, Junting Guo

“…Analyzing the current trends and causes of carbon storage changes and accurately predicting future land use and carbon storage changes under different climate scenarios is crucial for regional land use decision-making and carbon management. …”
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Artificial intelligence for biodiversity: Exploring the potential of recurrent neural networks in forecasting arthropod dynamics based on time series by Sébastien Lhoumeau, João Pinelo, Paulo A.V. Borges

“…Although RNN did not surpass classical SARIMA in data prediction, it demonstrated superior goodness-of-fit on the training dataset. …”
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Comparison of glycosylated fibronectin versus soluble fms-like tyrosine kinase/placental growth factor ratio testing for the assessment of pre-eclampsia: protocol for a multicentre... by Marcus Green, Chao Wang, Sarah Fisher, Amarnath Bhide, Ramesh Ganapathy, Basky Thilaganathan, Nouran Elbarbary

“…Glycosylated fibronectin (GlyFn) level for the prediction of pre-eclampsia development is available as a POC test (Lumella) and has the potential to aid rapid clinical decision making. …”
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Study on influencing factors of age-adjusted Charlson comorbidity index in patients with Alzheimer's disease based on machine learning model by Jian Ding, Jian Ding, Zheng Long, Yiming Liu, Min Wang

“…The column chart constructed based on these feature factors enables intuitive prediction of patients with high aCCI probability, providing a convenient clinical tool.ConclusionThe results of this study indicate that the features screened by LASSO regression have the best predictive performance and can significantly improve the predictive ability of aCCI related comorbidities in AD patients. …”
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The Prognostic Value of Peripheral Blood Inflammatory Markers in Hepatocellular Carcinoma Treated with Lenvatinib Combined with PD-1 Inhibitors by Xin Y, Liu N, Peng G, Huang X, Cao X, Zhou X

“…The AUC value of nomogram based on baseline SIRI, PNI, and tumor distribution in predicting the 6-,12- and 18-month PFS of patients was significantly higher than that of traditional BCLC stage, and its prediction performance was substantially better than that of BCLC stage system (C-index, 0.730 vs 0.535).Conclusion: The baseline SIRI could be used as a potential non-invasive biomarker to predict the efficacy and survival benefit of immune combination therapy for HCC. …”
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