Selective Separation of Scandium in Acidic Water Using Carboxyl Functionalized Covalent Phosphonitrile Polymers by Yu BAI, Ayinuer WUSHUER, Lei OUYANG, Lijin HUANG, Qin SHUAI

“…Both materials have the ability to selectively adsorb Sc(III), with Kd values of 5.1×102mL/g and 4.0×103mL/g for Sc(III), respectively. …”
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Depression detection based on dual path DCGAN data generation and classification-regression network by LU Jingxue, LI Hongyan, ZHENG Ruichao, QIN Ruizhen

“…The combined MFCC-TEO coefficient has a better ability to characterize depression than MFCC coefficient. …”
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Identifying and Validating Indicators of Ritualism in the Iranian Higher Education System: A Mixed-Methods Study by Seyed Hedayat Davarpanah, Reza Hoveida, Mostafa Bagherian Far

“…Using G*Power software with an effect size of 0.079, an alpha coefficient of 0.05, and a statistical power of 0.80, the estimated sample size was determined to be 270 participants. …”
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A Novel Tornado Detection Algorithm Based on XGBoost by Qiangyu Zeng, Guoxiu Zhang, Shangdan Huang, Wenwen Song, Jianxin He, Hao Wang, Yin Liu

“…The characteristics associated with the velocity attributes, reflectivity, velocity spectrum width, differential reflectivity, and correlation coefficient are used in the algorithm to achieve real-time tornado detection. …”
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A Comparative Study of Machine Learning and Conventional Techniques in Predicting Compressive Strength of Concrete with Eggshell and Glass Powder Additives by Yan Gao, Ruihan Ma

“…Both the ANN and RSM techniques are effective instruments for predicting compressive strength, according to the statistical results, which include mean squared error (MSE), determination coefficient (R²), and adjusted coefficient (R² adj). …”
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Cognitive analysis of the development of human resource competencies in line with the Fourth Industrial Revolution by Habib Zare ahmadabadi, Sayed Heidar Mirfakhraddini, Fatemeh Zamzam, somayeh amirhosseini

“…  Finally, according to the opinion of the experts, the competencies were prioritized using the intuitive fuzzy TOPSIS method, among the 60 competencies, customer oriention with a relative coefficient of 0.772 , process understanding/management index with a relative coefficient of 0.661, IT skills index with a relative coefficient of 0.66, leadership skills with a coefficient of 0.633 and understanding of information technology security with a relative coefficient of 0.629, were identified as the top five competencies of human resources in line with the industrial revolution 4.0. …”
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Construction and evaluation of recombinant Lactobacillus plantarum expressing Micropterus salmoides hepcidin by Cheng-long Zhang, Guangtao Chen, Xiang Shan Ji, Jian Teng, Zhi Lei Yao, Chun Lei Hu, Yan Zhao

“…The aim of this study is to construct a recombinant LP37 expressing hepcidin and evaluate its role in improving antibacterial ability and growth promotion in M. salmoides. Results Based on the expression vector pSIP403, we used green fluorescent protein (GFP) as a reporter gene to compare the effects of four promoters on the expression levels of foreign proteins and selected the promoter TUFA with the highest expression level. …”
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Study on the warm deformation behavior and microstructure evolution of the MDIFed Ti–6Al–4V titanium alloy by Yingxiang Yang, He Wang, Zhongxue Feng, Qingnan Shi, Bin Yang, Min Chen, Huarong Qi, Xiaoqi Wang

“…The activation of multiple slip systems contributes to the coordination and homogeneity of deformation, thereby enhancing the overall plastic deformation ability of the MDIFed Ti–6Al–4V titanium alloys.…”
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Paroxysmal Sympathetic Hyperactivity, Volume Status, and Neurological Prognosis in Acute Brain Injury: A Prospective Cohort Analysis by Chen R, Cai X, Gui X, Lin G, Du W

“…A correlation analysis between Paroxysmal Sympathetic Hyperactivity Assessment Measure (PSH-AM) score and clinical indicators was performed using Pearson’s or Spearman correlation coefficient. Receiver operating characteristic (ROC) curves were used to assess the prediction of 6-month Glasgow Outcome Scale Extended (GOSE) score. …”
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The value of MRI in differentiating ovarian clear cell carcinoma from other adnexal masses with O-RADS MRI scores of 4–5 by Lingling Lin, Le Fu, Huawei Wu, Saiming Cheng, Guangquan Chen, Lei Chen, Jun Zhu, Yu Wang, Jiejun Cheng

“…This comprehensive model improves CCC prediction ability and clinical applicability for facilitating individualised clinical decision-making. …”
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Physiological acclimation of Porites panamensis (Scleractinia: Poritidae) under high-latitude marginal conditions by Alexis E Trejo-Estrada, Clara E Galindo-Sánchez, Alma P Rodríguez-Troncoso, Rafael A Cabral-Tena, Luis E Calderón-Aguilera, Lorena M Durán-Riveroll, Oscar E Juárez

“…In addition, the abiotic variables of SST, Chl a, particulate organic carbon (POC), and the diffuse attenuation coefficient (Kd490) were compared between seasons. The results indicated a significant difference in endosymbiont density between seasons (cold season: ~4 × 106 cell·cm–2; warm season: ~2 × 106 cell·cm–2), and an increase in the Chl a concentration during the warm season of 2023. …”
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Metabolic dysfunction-associated steatotic liver disease (MASLD) biomarkers and progression of lower limb arterial calcification in patients with type 2 diabetes: a prospective coh... by Damien Denimal, Maharajah Ponnaiah, Franck Phan, Anne-Caroline Jeannin, Alban Redheuil, Joe-Elie Salem, Samia Boussouar, Pauline Paulstephenraj, Suzanne Laroche, Chloé Amouyal, Agnès Hartemann, Fabienne Foufelle, Olivier Bourron

“…In multivariate analysis, the FibroTest® score remained independently associated with the annualized change in LLACS, after adjusting for baseline LLACS and risk factors for lower extremity artery disease (β coefficient [95% confidence interval]: 988 [284–1692], p = 0.006). …”
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Factors affecting the possibility of using renewable energy in the agricultural sector from the viewpoint of Agricultural Jihad experts in Urmia by Fatemeh Kazemiyeh, Asma Eidi, Hosein Raheli

“…Data were analyzed at descriptive (percentage, mean, standard deviation, and coefficient of variation) and inferential (correlation and regression) levels using SPSS software.   …”
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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

“…Machine learning (ML) has become a powerful tool for predicting suspended sediment concentration (SSC). Nonetheless, the ability to interpret the physical process is considered the main issue in applying most of ML approaches. …”
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Role of Obstructive Sleep Apnoea in Sensorineural Hearing Loss: A Cross-sectional Study by J Shanmugh, RB Namasivaya Navin, K Gowthame, S Prabakaran, D Balaji, R Muthukumar, S Rajasekaran

“…The condition significantly impacts the inner ear’s ability to transduce sound due to the essential oxygen supply required for hair cells in the cochlea. …”
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Prior guided deep difference meta-learner for fast adaptation to stylized segmentation by Dan Nguyen, Anjali Balagopal, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve Jiang

“…We tested the model’s ability to learn unseen styles and compared its performance with transfer learning, using varying amounts of prior patient style data (0–10 patients). …”
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Evolution and model prediction of mechanical ventilation temperature field in high-geotemperature tunnels: Experimental analysis and machine learning by Feng Huang, Song Wang, Shuping Jiang, Dong Yang, Zheng Hu, Aichen Zheng

“…The results show that the regression value (R2), mean absolute error (MAE) and root mean square error (RMSE) of the ventilation environment temperature prediction model based on pearson correlation coefficient feature screening and CNN-BiLSTM model are 0.94,1.39 and 1.68, respectively. …”
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Evaluation of models of enteric methane emissions in finishing steers by J. Vargas, M. Swenson, A.K. Schilling-Hazlett, I.A. Reis, C. Velasquez, E.C. Martins, L. Sitorski, L.M. Campos, P.H.V. Carvalho, K.R. Stackhouse-Lawson, S.E. Place

“…These results suggest a limited ability to predict enteric CH4 by steers during the finishing phase. …”
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Estimating and mapping tailings properties of the largest iron cluster in China for resource potential and reuse: A new perspective from interpretable CNN model and proposed spectr... by Haimei Lei, Nisha Bao, Moli Yu, Yue Cao

“…The three-band spectral index (TBI) calculated by R827/(R900 × R2200) correlated best to TFe with the correlation coefficient (r) of 0.87, while the R2397/(R776×R900) correlated best to SiO2 with r of 0.70. …”
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SAGEFusionNet: An Auxiliary Supervised Graph Neural Network for Brain Age Prediction as a Neurodegenerative Biomarker by Suraj Kumar, Suman Hazarika, Cota Navin Gupta

“…<b>Background:</b> The ability of Graph Neural Networks (GNNs) to analyse brain structural patterns in various kinds of neurodegenerative diseases, including Parkinson’s disease (PD), has drawn a lot of interest recently. …”
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