Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

“…The four models were evaluated by the area under the receiver operating characteristic curve (ROC), calibration curve and the decision curve analysis (DCA). …”
Get full text

Study on the anti-free radical, antibacterial, and whitening effects of sea buckthorn extract and its product development by Ao She, Yating Li, Litian Jiang, Ruochen Liang, Siyuan Hao, Kaize Li, Yan Zhou

“…Finally, the practical efficacy of the gel leave-on mask was evaluated through participant trials, measuring skin parameters such as vascular density, skin roughness, moisture content, and pigmentation. …”
Get full text

UAV-Based Multispectral Winter Wheat Growth Monitoring with Adaptive Weight Allocation by Lulu Zhang, Xiaowen Wang, Huanhuan Zhang, Bo Zhang, Jin Zhang, Xinkang Hu, Xintong Du, Jianrong Cai, Weidong Jia, Chundu Wu

“…However, many current studies overlook the relationships between different growth parameters and their varying contributions to yield, leading to overlapping information and lower accuracy in monitoring crop growth. …”
Get full text

Machine Learning-Based Prediction of No-Show Telemedicine Encounters by C. Mahony Reategui-Rivera, Wanting Cui, Stefan Escobar-Agreda, Leonardo Rojas-Mezarina, Joseph Finkelstein

“…Aim: This study aimed to evaluate the performance of machine learning (ML) models in predicting patient no-shows for telemedicine appointments within Peruvian health system and identify key predictors of nonattendance. …”
Get full text

The application of risk models based on machine learning to predict endometriosis‐associated ovarian cancer in patients with endometriosis by Xiaopei Chao, Shu Wang, Jinghe Lang, Jinhua Leng, Qingbo Fan

“…The aim of this study was to construct and evaluate a risk model incorporating noninvasive clinical parameters to predict endometriosis‐associated ovarian cancer (EAOC) in patients with endometriosis. …”
Get full text

Performance analysis of a filtering variational quantum algorithm by Gabriel Marin-Sanchez, David Amaro

“…In this work we employ instantaneous quantum polynomial circuits as our parameterized quantum circuits. We propose a hardware-efficient implementation that respects limited qubit connectivity and show that they halve the number of circuits necessary to evaluate the gradient with the parameter-shift rule. …”
Get full text

Augmenting Rice Defenses: Exogenous Calcium Elevates GABA Levels Against WBPH Infestation by Rahmatullah Jan, Sajjad Asaf, Lubna, Muhammad Farooq, Saleem Asif, Zakirullah Khan, Jae-Ryoung Park, Eun-Gyeong Kim, Yoon-Hee Jang, Kyung-Min Kim

“…Notably, calcium and GABA treatments increased antioxidant enzyme activities, with GABA boosting catalase (CAT) activity by 800%, peroxidase (POD) by 144%, and superoxide dismutase (SOD) by 62% under WBPH stress. …”
Get full text

Interpretable XGBoost model identifies idiopathic central precocious puberty in girls using four clinical and imaging features by Lu Tian, Yan Zeng, Helin Zheng, Jinhua Cai

“…The least absolute shrinkage and selection operator (LASSO) method was used to select essential characteristic parameters associated with ICPP and were used to construct logistic regression (LR) and five machine learning (ML) models, including support vector machine (SVM), Gaussian naive bayes (GaussianNB), extreme gradient boosting (XGBoost), random forest (RF), and k- nearest neighbor algorithm (kNN). …”
Get full text

Comparison of 46 Cytokines in Peripheral Blood Between Patients with Papillary Thyroid Cancer and Healthy Individuals with AI-Driven Analysis to Distinguish Between the Two Groups by Kyung-Jin Bae, Jun-Hyung Bae, Ae-Chin Oh, Chi-Hyun Cho

“…As AI classification algorithms to categorize patients with PTC, K-nearest neighbor function, Naïve Bayes classifier, logistic regression, support vector machine, and eXtreme Gradient Boosting (XGBoost) were employed. The SHAP analysis assessed how individual parameters influence the classification of patients with PTC. …”
Get full text

Transfer Learning Estimation and Transferability of LNC and LMA Across Different Datasets by Yingbo Wang, Mengzhu He, Lin Sun, Yong He, Zengwei Zheng

“…Leaf mass per area (LMA) and leaf nitrogen concentration (LNC) are both essential parameters in plant ecology, which can reflect the growth status of plants. …”
Get full text

Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…Importantly, MTEPN maintains a modest parameter count of only 7.9 million and processes single-frame images in just 24.3 ms. …”
Get full text

Machine learning-based prediction and classification of seawater intrusion in the hyper-arid coastal aquifer of Fujairah, UAE by Assaad Kassem, Ahmed Sefelnasr, Abdel Azim Ebraheem, Luqman Ali, Faisal Baig, Mohsen Sherif

“…LightGBM yielded the highest prediction accuracy (R² = 0.9574), followed by CatBoost (R² = 0.9565) and XGBoost (R² = 0.9517). For classification, CatBoost and Gradient Boosting achieved the best performance with 97.6 % accuracy and AUC = 0.9986. …”
Get full text

Assessment of the impact of biodegradable lignin nanoparticles encapsulating IAA on tomato development: from seed to fruit by Rodrigo Faleiro, Magda Andreia Tessmer, Anderson Espirito Santo Pereira, Leonardo Fernandes Fraceto, Marcelle Sanches Rampasso, Marcela Trevenzoli Miranda, Maria Dolores Pissolato, Fábio Cassola, Rafael Vasconcelos Ribeiro, Juliana Lischka Sampaio Mayer

“…Additionally, leaf gas exchange parameters and photosynthetic pigment levels were measured. …”
Get full text

Predictive potential of cardiovascular risk factors and their associations with arterial stiffness in people of European and Korean ethnic groups by T. A. Brodskaya, V. A. Nevzorova, K. I. Shakhgeldyan, B. I. Geltser, D. A. Vrazhnov, Yu. V. Kistenev

“…Clinical assessment was carried, Also, following blood parameters was evaluated: total cholesterol (TC), low- (LDL-C) and high- (HDL-C) density lipoprotein cholesterol, apolipoproteins A (apo-A) and B (apo-B), triglycerides (TG), uric acid, creatinine, glucose, adiponectin, resistin. …”
Get full text

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation by Bo Peng, Xuyu Xiang, Han Tian, Kaiqiang Xu, Quan Zhuang, Junhui Li, Pengpeng Zhang, Yi Zhu, Min Yang, Jia Liu, Yujun Zhao, Ke Cheng, Yingzi Ming

“…Binary and multiple linear regressions, along with a mixed-effect linear model, were used to analyze the correlations between PBLSs and clinical parameters. Predictive models for PBLS reference values were developed using Gradient Boosting Regressor, and the models’ performance was also evaluated in infected recipients. …”
Get full text

A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges by Md. Moniruzzaman Monir, Subaran Chandra Sarker, Abu Reza Md. Towfiqul Islam

“…It proposes a groundwater development strategy based on the evaluated papers to provide a long-term solution to the water scarcity problem. …”
Get full text

Optimal equivariant architectures from the symmetries of matrix-element likelihoods by Daniel Maître, Vishal S Ngairangbam, Michael Spannowsky

“…We propose a longitudinal boost-equivariant message-passing neural network architecture that preserves relevant discrete symmetries. …”
Get full text

Optimizing resources for sustainable maize production under different intercrop association in eastern sub Himalayan region of India by Harkesh Meena, Partha Sarathi Patra, Pabitra Adhikary, Arju Sahid Ahmed, Shyamal Kheroar, Shovik Deb, Feroze Hasan Rahman, Amrit Tamang, Bimal Das, Pijush Somondal

“…However, systematic evaluations of maize-based intercropping systems in this region remain limited. …”
Get full text

Reduction of Potassium Supply Alters the Production and Quality Traits of <i>Ipomoea batatas</i> cv. BAU Sweetpotato-5 Tubers by Shaila Sharmin, Md. Nazmul Hasan Arfin, Abu Musa Md Main Uddin Tareque, Abdullah Al Kafi, Md. Shohidullah Miah, Md. Zakir Hossen, Md. Abdus Shabur Talukder, Arif Hasan Khan Robin

“…Potassium is vital for sweetpotato growth, boosting tuber size, sweetness, disease resistance, and yield quality, with deficiencies leading to poor tuber formation and increased stress susceptibility. …”
Get full text

Pasteurized waste milk vs. milk replacer at the same crude protein:metabolizable energy ratio with different energy sources (fat vs. lactose) to pre-weaning Holstein calves: Effect... by Shahryar Kargar, Borhan Moradi, Meysam Kanani, Marzia Albenzio, Mariangela Caroprese, Mohammad Javad Zamiri, Ícaro Rainyer Rodrigues de Castro, Marcos Inácio Marcondes

“…Overall, feeding WM led to increased starter feed intake by boosting the eating rate and meal size, promoting greater growth than MR. …”
Get full text