Hearing vocals to recognize schizophrenia: speech discriminant analysis with fusion of emotions and features based on deep learning by Jie Huang, Yanli Zhao, Zhanxiao Tian, Wei Qu, Xia Du, Jie Zhang, Meng Zhang, Yunlong Tan, Zhiren Wang, Shuping Tan

“…Abstract Background and objective Accurate detection of schizophrenia poses a grand challenge as a complex and heterogeneous mental disorder. …”
Get full text

Taxonomical implications of fruit and seed morphology in wild species of Diospyros L. (Ebenaceae) in Odisha, Eastern India by Sabita Tudu, Jeevan Kumar Jena, Sifan Priyadarshini, Dr. Sudhansu Sekhar Dash, Dr. Sudam Charan Sahu

“…Twenty (20) taxonomically important morphological characters of fruits and seeds were selected to study the similarity and variations among the taxa. …”
Get full text

Determination of Phytotechnological Parameters of the Dense Extract from Peach (<i>Persica vulgaris</i>) Leaves by E. I. Molokhova, L. V. Ivantsova, V. D. Belonogova

“…Experimental studies were carried out to select optimal modes of extraction of flavonoids from peach leaves (extractant, extraction temperature, extraction duration, degree of raw material grinding, hydromodule), which ensure high output of BAS complex into extract.Conclusion. …”
Get full text

Quantitatively Distinguishing the Factors Driving Runoff and Sediment Yield Variations in Karst Watersheds by Si Cheng, Xingxiu Yu, Zhenwei Li, Xianli Xu, Kelin Wang

“…To address this issue, the Pearson correlation and random forest were first to select the dominant factors influencing runoff and SY. …”
Get full text

Assessing Lightweight Folding UAV Reliability Through a Photogrammetric Case Study: Extracting Urban Village’s Buildings Using Object-Based Image Analysis (OBIA) Method by Junyu Kuang, Yingbiao Chen, Zhenxiang Ling, Xianxin Meng, Wentao Chen, Zihao Zheng

“…The classification accuracy of the three selected algorithms exceeded 80%, with the KNN classifier achieving an accuracy of 91% and a Kappa coefficient of 0.87, which robustly demonstrate the reliability of the UAV data and validate the feasibility of the proposed approach in complex cases. …”
Get full text

Exploring weighted network backbone extraction: A comparative analysis of structural techniques. by Ali Yassin, Hocine Cherifi, Hamida Seba, Olivier Togni

“…Backbone extraction simplifies complex networks while retaining essential features. …”
Get full text

The development and initial validation of IgG4-related disease damage index: a consensus report from Chinese IgG4-RD Consortium by Rong Zhang, Ning Ma, Wen Zhang, Xiaofeng Zeng, Lingli Dong, Yunyun Fei, Mengtao Li, Yan Zhao, Fang Wang, Yanhong Wang, Cheng Zhao, Dingding Zhang, Yunxia Hou, Nan Che, Liwei Lu, Hongsheng Sun, Xiaoping Hong, Zongfei Ji, Yujin Ye, Jingna Li, Linyi Peng, Jiaxin Zhou, Yan-Ying Liu, Shuhong Chi, Changyan Liu, Wenjia Sun, Yamin Lai

Get full text

Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…The Pearson correlation coefficient between the original OCO-2 SIF data and MODIS GPP stood were at a modest 0.53. …”
Get full text

Analysis and comprehensive evaluation of fruit quality of 39 sweet cherry accessions in Shanxi region by HOU Xuan, YIN Kaihua, NIE Guowei, LI Kai, ZHANG Yanan, ZHANG Xiaoping, TIAN Yongqiang

“…Correlation analysis showed that the relationships among various phenotypic traits of different germplasms were close and complex. Cluster analysis divided the 39 sweet cherries into three groups. …”
Get full text

Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery by Tarek Berghout, Eric Bechhoefer, Faycal Djeffal, Wei Hong Lim

“…The first part focuses on comprehensive data preprocessing using only feature scaling and selection via random forest (RF) algorithm, streamlining the process by minimizing human intervention while managing data complexity. …”
Get full text

Characterization and application of flow heterogeneity in high water cut reservoirs by ZHANG Min, JIN Zhongkang, FENG Xubo

“…Next, various methods for characterizing heterogeneity were compared, and the Lorenz coefficient was selected as a key parameter for characterizing flow heterogeneity. …”
Get full text

Aircraft range fuel prediction study based on WPD with IAPO optimized BiLSTM–KAN model by Weizhen Tang, Jie Dai, Yuantai Li

“…Initially, Pearson’s correlation coefficient is employed to select the most significant features. …”
Get full text

Results of study of long-fiber flax’s collection material by the parameters of economically valuable traits by N. S. Koshcheeva, G. A. Batalova, I. V. Lyskova, S. N. Kraeva

“…Stable and plastic traits are selected according to correlation coefficient. Strong “genotype - environment” interactions were expressed by seed productivity, number of bolls and seed per plant; moderate interactions - by productivity of straw and fiber; weak interactions - by plant length, fiber content, 1000-grain mass. …”
Get full text

Prediction of Monthly Temperature Over China Based on a Machine Learning Method by Ping Mei, Zixin Yin, Haoyu Wang, Changzheng Liu, Yaoming Liao, Qiang Zhang, Liping Yin

“…We identified three statistical challenges in climate prediction: instability of statistical models, complexity of feature factors, and the nonlinearity of the relationship between predictors and predictands. …”
Get full text

Variability in performance of genetic-enhanced DXA-BMD prediction models across diverse ethnic and geographic populations: A risk prediction study. by Yong Liu, Xiang-He Meng, Chong Wu, Kuan-Jui Su, Anqi Liu, Qing Tian, Lan-Juan Zhao, Chuan Qiu, Zhe Luo, Martha I Gonzalez-Ramirez, Hui Shen, Hong-Mei Xiao, Hong-Wen Deng

“…Models based on regression with least absolute shrinkage and selection operator (LASSO), selected based on the coefficient of determination (R2) from a model selection subset of 5,973 individuals from British white population. …”
Get full text

Development and validation of a green/blue UHPLC-MS/MS method for trace pharmaceutical monitoring by Marta Koziarska, Magdalena Strzebońska, Ewa Szalińska

“…The limits of detection were 300 ng/L for caffeine, 200 ng/L for ibuprofen, and 100 ng/L for carbamazepine, respectively. …”
Get full text

Prediction of Ground Subsidence Risk in Urban Centers Using Underground Characteristics Information by Sungyeol Lee, Jaemo Kang, Jinyoung Kim

“…Ground subsidence primarily occurs due to complex factors, such as damage to underground facilities and excavation work, and its occurrence can result in loss of life and damage to property. …”
Get full text

Predicting Student Behavior Using a Neutrosophic Deep Learning Model by Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y. Shams, A. A. Salama

“…An intelligent system was designed to assess the difficulty level of preliminary exams and select top-performing advanced students using a Neutrosophic Deep Learning Model. …”
Get full text

Media Communications of Executive Power: Assessing Effectiveness by E. A. Bazhenova, M. A. Shirinkina

“…One such measure is the engagement coefficient of users, determined through the online service Popsters.ru. …”
Get full text

Bottom Trawling and Multi‐Marker eDNA Metabarcoding Surveys Reveal Highly Diverse Vertebrate and Crustacean Communities: A Case Study in an Urbanized Subtropical Estuary by Jack Chi‐Ho Ip, Hai‐Xin Loke, Sam King Fung Yiu, Meihong Zhao, Yixuan Li, Yitao Lin, Chun‐Ming How, Jiezhang Mo, Meng Yan, Jinping Cheng, Vincent Chi‐Sing Lai, Leo Lai Chan, Kenneth Mei Yee Leung, Jian‐Wen Qiu

“…Furthermore, there was a positive correlation between eDNA read counts and trawl catch, but their correlation coefficient was low. We conclude that eDNA metabarcoding can provide high‐resolution detection of species, composition, and unravel community–environment relationships in estuarine ecosystems. …”
Get full text