HFITS: An analysis tool for calculating heat flux to planar surfaces using infrared thermography by Parham Dehghani, Matthew J. DiDomizio

“…This technique enables spatially and temporally resolved heat flux measurements at a higher resolution than arrays of traditional point sensors. …”
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Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis by Helen Coupland, Neil Scheidwasser, Alexandros Katsiferis, Megan Davies, Seth Flaxman, Naja Hulvej Rod, Swapnil Mishra, Samir Bhatt, H. Juliette T. Unwin

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Evaluation and fMRI Analysis of Cognitive and Language Impairment of Perinatally Acquired Left Brain Injury by Xiuyuan ZHENG, Fenyan HUANG, Tiebin YAN, Lingjun XIAO, Nan YAN, Xiaofeng LIN, Zhiying LIANG

“…Objective:To explore the effect of perinatally acquired left brain injury on language and cognitive ability by evaluation and fMRI analysis.Methods:The subject for study was a child with perinatally acquired left brain injury.3.0T BOLD fMRI scaned the brain region of the subject when the subject was performing picture naming task to observe activated encephalic region. …”
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Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods by Quoc-Dung Ngo, Ly-Huynh Phan

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Analysis of Drought Evolution Characteristics in Haihe River Basin Based on Sub-Period Prediction Model by HAN Dongmei, JIANG Shanshan

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Beyond clinical scales: an observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease by Paolo De Pasquale, Mirjam Bonanno, Cristiano De Marchis, Luca Pergolizzi, Antonino Lombardo Facciale, Giuseppe Paladina, Maria Grazia Maggio, Federica Impellizzeri, Irene Ciancarelli, Angelo Quartarone, Angelo Quartarone, Rocco Salvatore Calabrò

“…Clinical scales evaluated the level of impairment, gait, balance, risk of falls and ability to complete activities of daily living. Instrumental evaluations were conducted using optoelectronic, force plates and electromyographic (EMG) systems in a motion analysis laboratory. …”
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Optimal parameter schemes for global and regional gross primary productivity estimation: a comparative analysis by Yuyu Li, Xiaobin Guan, Shen Huanfeng

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A Comparative Analysis of Machine Learning and Deep Learning Techniques for Accurate Market Price Forecasting by Olamilekan Shobayo, Sidikat Adeyemi-Longe, Olusogo Popoola, Obinna Okoyeigbo

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SLEEP-SAFE: Self-Supervised Learning for Estimating Electroencephalogram Patterns With Structural Analysis of Fatigue Evidence by Wonjun Ko, Jeongwon Choe, Jonggu Kang

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Shoreline time series analysis through the Isoradiometric method: Bridging landscape evolution and coastal management by F. Caldareri, N. Parrino, L. Balsamo, G. Dardanelli, S. Todaro, A. Sulli, A. Maltese

“…The increasing availability of remotely sensed data has enhanced our ability to monitor coastal evolution, yet extracting reliable time series for long-term analysis remains a challenge. …”
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Groundwater Level Prediction and Earthquake Precursor Anomaly Analysis Based on TCN-LSTM-Attention Network by Xinfang Chen, Lijia Yang, Xin Liao, Hanqing Zhao, Shiwei Wang

“…This paper proposes a TCN-LSTM-Attention model that combines the advantages of effective feature extraction with TCN and capturing complex temporal dependencies with LSTM. Experiments show that the designed model has strong abilities in predicting groundwater levels and identifying earthquake precursor anomalies. …”
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Herbicide-treated soil as a reservoir of beneficial bacteria: microbiome analysis and PGP bioinoculants in maize by Ivana Galic, Cristina Bez, Iris Bertani, Vittorio Venturi, Nada Stankovic

“…Results A bacterial community analysis explored the effects of long-term S-metolachlor application on soil bacterial diversity, revealing that the herbicide’s impact on microbial communities is less significant than the effects of temporal factors (summer vs. winter) or agricultural practices (continuous maize cultivation vs. maize-winter wheat rotation). …”
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Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis by Ava Mohammadi, Gonzalo Napoles, Yamisleydi Salgueiro

“…While deep learning models excel in time-series forecasting, their ability to integrate exogenous variables remains uncertain. …”
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Exploring Seasonal and Diurnal Variations of the Thermal Environment in Metropolitan Scale Analysis Based on Remote Sensing Data by Danyal Rahimi, Masanobu Kii, Hikari Shimadera, Francesco Causone

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Microarray analysis of genes expression profile related to seed stored substance in grouting of rice (Oryza sativa) by WANG Li-hua, TAN Xue-lin, ZHANG Feng, DONG Hai-tao, LI De-bao

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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models by Rasool Esmaeilyfard, Mohsen Bayati

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Ion-Specific Gelation and Internal Dynamics of Nanocellulose Biocompatible Hybrid Hydrogels: Insights from Fluctuation Analysis by Arianna Bartolomei, Elvira D’Amato, Marina Scarpa, Greta Bergamaschi, Alessandro Gori, Paolo Bettotti

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The future of Upernavik Isstrøm through the ISMIP6 framework: sensitivity analysis and Bayesian calibration of ensemble prediction by E. Jager, E. Jager, F. Gillet-Chaulet, N. Champollion, R. Millan, H. Goelzer, J. Mouginot

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Numerical analysis of pressure-dependent characteristics of gas diffusion coefficient based on a bidisperse diffusion model by Xiaojun FENG, Shishi DENG, Quanlin LIU, Enyuan WANG

“…As a key parameter to describe the migration ability of gas in coal seam, the accuracy of gas diffusion coefficient has an important influence on the prediction and control of gas migration. …”
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BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs by Youngbin Kim, Kunlun Wang, Roberta I. Lock, Trevor R. Nash, Sharon Fleischer, Bryan Z. Wang, Barry M. Fine, Gordana Vunjak-Novakovic

“…We further confirm its ability to robustly characterize disease and dose-dependent drug response. …”
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