Oxidative Stress Level as a Predictor of Anastomotic Leakage after Rectal Surgery by Jiajun Luo, Hongxue Wu, Yu Yang, Yue Jiang, Jingwen Yuan, Qiang Tong

“…More specifically, among the redox indicators analyzed, MDA has almost the same predictive value as CRP, which provides another useful biomarker for the early diagnosis of anastomotic leakage.…”
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Forecasting Optimal Solar Energy Supply in Jiangsu Province (China): A Systematic Approach Using Hybrid of Weather and Energy Forecast Models by Xiuli Zhao, Henry Asante Antwi, Ethel Yiranbon

“…Further, we evaluate the performance of an exemplary ensemble model which combines the forecast output of two popular statistical prediction methods using a dynamic weighting factor.…”
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The relationship between early-onset preeclampsia and the prognostic nutritional index and inflammatory markers by Alev Esercan, Cigdem Cindoglu

“…In our study, we investigated whether the prognostic nutritional index (PNI) and pan immune inflammation value (PIV), which are used in the prognosis and prediction of diseases in new studies in the literature, are useful for predicting early-onset preeclampsia.Methods The first group consisted of healthy pregnant women who had a single foetus without any additional disease between 24 and 34 gestational weeks, and the second group consisted of pregnant women who were diagnosed with early-onset preeclampsia and did not have any additional disease or foetal anomalies during the same gestational week. …”
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Impact of COVID-19 vaccinations in India: a state-wise analysis by Abhigayan Adhikary, Manoranjan Pal, Raju Maiti

“…Objective In this work, the objective is to perform a state-wise analysis to assess the impact of vaccination in slowing down the spread of infections during the second COVID-19 wave (February – October 2021) in India. The prediction accuracy of the proposed model with the optimal lag length (in days) after including the impact of vaccination is evaluated and compared with a model without it. …”
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LeaData a novel reference data of leather images for automatic species identification by Anjli Varghese, Malathy Jawahar, A. Amalin Prince

“…The traditional identification techniques are prone to ambiguous predictions due to insufficient reference studies. Indeed, leather image analysis with big data can pave the way for automatic and objective analysis with accurate prediction. …”
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Spatial-Temporal Analysis of Particulate Matter (PM10) and Sulphur Dioxide (SO2) Concentrations in Ankara Using Climate Parameters by Olgu Aydın, Nussaïbah Begum Raja

“…When evaluating the performance of the prediction models for PM10 and SO2 concentrations, it is found that the PM10 model explains 66% and the SO2 model explains 78% of the variance. …”
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Ion channel classification through machine learning and protein language model embeddings by Ghazikhani Hamed, Butler Gregory

“…This study extends our previous work on protein language models for ion channel prediction, significantly advancing the methodology and performance. …”
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A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System by Guijun Han, Xinrong Wu, Shaoqing Zhang, Zhengyu Liu, Ionel Michael Navon, Wei Li

“…These simple model studies provide some insights when parameter estimation is implemented with a coupled general circulation model for improving climate estimation and prediction initialization.…”
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Preference learning based deep reinforcement learning for flexible job shop scheduling problem by Xinning Liu, Li Han, Ling Kang, Jiannan Liu, Huadong Miao

“…First, a reward predictor based on preference learning is designed to model reward prediction by comparing random fragments, eliminating the need for complex reward function design. …”
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Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases by Arun Sharma, Sheeba Rani, Dinesh Gupta

“…The combination of two best-performing models (each trained on 286 images, rotated through 120° or 140° angle) displayed the highest prediction accuracy for normal, COVID-19, non-COVID-19, pneumonia, and tuberculosis images. …”
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Structural and Functional Annotation of Hypothetical Proteins of O139 by Md. Saiful Islam, Shah Md. Shahik, Md. Sohel, Noman I. A. Patwary, Md. Anayet Hasan

“…The analysis revealed that these proteins might have antibiotic resistance activity, DNA breaking-rejoining activity, integrase enzyme activity, restriction endonuclease, etc. Structural prediction of these proteins and detection of binding sites from this study would indicate a potential target aiding docking studies for therapeutic designing against cholera.…”
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Enhancing Indoor mmWave Communication With ML-Based Propagation Models by Gustavo Adulfo Lopez-Ramirez, Alejandro Aragon-Zavala

“…This study focuses on demonstrating how machine learning (ML) techniques can be applied to predict path loss within the millimeter wave (mmWave) spectrum in a specific indoor environment. …”
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Changes of Soil Moisture from Multiple Sources during 1988–2010 in the Yellow River Basin, China by Dan Lou, Guojie Wang, Chan Shan, Daniel Fiifi T. Hagan, Waheed Ullah, Dawei Shi

“…The spatiotemporal variations of soil moisture from multiple sources during 1988–2010 are evaluated against in situ observations in the Yellow River basin, China, including the Essential Climate Variable satellite’s passive microwave product (SMECV), ERA-Interim reanalysis (SMERA), the National Centers for Environmental Prediction/Department of Energy’s Reanalysis-2 (SMNCEP), and the Variable Infiltration Capacity model products (SMVIC). …”
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Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics by A. S. Pandit, A. Keenlyside, D. Z. Khan, G. Reischer, M. A. Kamal, N. Yoh, Z. Jaunmuktane, A. Borg, N. L. Dorward, S. E. Baldeweg, I. Davagnanam, H. Hyare, P. Nachev, H. J. Marcus

“…Our initiative addresses the need for standardized data in pituitary oncology, fosters collaboration and innovation, and enables the development and benchmarking of workflows that utilize pituitary radiomics for treatment planning and outcome prediction.…”
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Volatility characteristics and hyperspectral-based detection models of diesel in soils by Jihye Shin, Jaehyung Yu, Jihee Seo, Lei Wang, Hyun-Cheol Kim

“…Using the hull-quotient reflectance at 2236 nm, the diesel content prediction model derived from a stepwise multiple linear regression (SMLR) achieved satisfactory accuracy with sufficient statistical significance (R2 = 0.89, RPD = 2.52). …”
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Joint Analysis of Morphological Parameters and In Silico Haemodynamics of the Left Atrial Appendage for Thrombogenic Risk Assessment by Maria Isabel Pons, Jordi Mill, Alvaro Fernandez-Quilez, Andy L. Olivares, Etelvino Silva, Tom de Potter, Oscar Camara

“…Analyses based only on morphological or haemodynamic parameters are not precise enough to predict such a phenomenon, as demonstrated in our results; a better patient stratification can be obtained by jointly analysing morphological and haemodynamic features.…”
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Strain-Dependence of the Structure and Ferroic Properties of Epitaxial NiTiO3 Thin Films Grown on Different Substrates by Tamas Varga, Timothy C. Droubay, Mark E. Bowden, Libor Kovarik, Dehong Hu, Scott A. Chambers

“…Polarization-induced weak ferromagnetism has been predicted a few years back in perovskite MTiO3 (M = Fe, Mn, and Ni). …”
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Combined Effects of Sustained Loads and Wet-Dry Cycles on Durability of Glass Fiber Reinforced Polymer Composites by Mengting Li, Jun Wang, Weiqing Liu, Ruifeng Liang, Hota GangaRao, Yang Li

“…Based on Arrhenius method, a prediction model which accounted for the effects of postcure processes was developed. …”
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Study on the Transfer Threshold from Meteorological to Hydrological Drought in Dongjiang River Basin by MO Xiaomei, TU Xinjun, WANG Tian, XIE Yuting, ZHAO Guoyang

“…The study on transfer threshold between different drought types can effectively analyze the occurrence law and mechanism of drought transfer,especially the study on transfer threshold from meteorological drought to hydrological drought.Taking the Dongjiang River Basin as the research object,this paper calculates the standardized precipitation index (SPI) and the standardized runoff index (SRI) at month scale,identifies and extracts the drought events and their characteristics,including drought duration and drought severity based on the run theory,matches the meteorological drought events and hydrological drought events that occur at the fully or partially same time,fits the edge distribution of the matched drought characteristic attributes to verify the correlation between the duration or severity of meteorological and hydrological droughts,establishes the joint distribution models of meteorological drought and hydrological drought based on two-variable Copula function,calculates the conditional probability of different grades of hydrological drought (moderate drought,severe drought and extreme drought) under different meteorological drought conditions,and takes the drought duration or severity value corresponding to the conditional probability of 0.95 as the drought duration or severity threshold for the transfer of meteorological drought to the hydrological drought of this grade.The results show that:The optimal fit functions of meteorological drought duration and severity in the Dongjiang River Basin were gamma distribution.The optimal fit function of hydrological drought duration is gamma distribution,and the marginal distribution function of hydrological drought severity was generalized normal distribution.The drought duration and severity were better when fitting by the Gumbel-copula function.The thresholds of drought duration of middle,severe and extreme drought grades in Dongjiang River basin were 6.9 months,8.3 months,9.4 months,respectively.While the thresholds of drought severity were 4.6,5.7 and 6.6,respectively.Drought transfer threshold can provide reference for hydrological drought prediction and government decision-making of drought prevention and mitigation.…”
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DMR: disentangled and denoised learning for multi-behavior recommendation by Yijia Zhang, Wanyu Chen, Fei Cai, Zhenkun Shi, Feng Qi

“…First, the irrelevant auxiliary behaviors that do not align with the target behavior, can negatively impact the prediction accuracy for user preference in the target behavior. …”
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