Identification of Selection Signatures Related to Johne\'s Disease in Iranian Holstein Cows using Genomic Data by Fateme Navoshki, Hossein Moradi shahr babak, Ali Sadeghi Sefid Mazgi, johann soelkner

Get full text

EXPERIMENTAL ASSESSMENT OF WEAR OF MODERNIZED DRIVE ROLLER CHAIN by A. A. Seregin, V. A. Lamin

“…The proposed modernization of the drive roller chain to perform the required set of functions without the redistribution between the elements and increase their functional load should be considered as functional redundancy to increase the reliability of the drive in the mechanical systems of agricultural purposes.…”
Get full text

Right inferior frontal cortex and preSMA in response inhibition: An investigation based on PTC model by Lili Wu, Mengjie Jiang, Min Zhao, Xin Hu, Jing Wang, Kaihua Zhang, Ke Jia, Fuxin Ren, Fei Gao

“…Response inhibition is an essential component of cognitive function. A large body of literature has used neuroimaging data to uncover the neural architecture that regulates inhibitory control in general and movement cancelation. …”
Get full text

Expansion of the cultural and educational potential of children’s art schools as a condition for the formation of the cultural environment of the region. To the research project by Irina E. Domogatskaya

“…During the study, it is planned: the use of statistical analysis methods, questioning, modeling, generalization, in addition, the collection and processing of data characterizing the requests, needs, opinions and suggestions of various population groups (respondents) in programs implemented by children's art schools and services will be carried out provided by schools; conducted, transcribed and processed interviews with experts in the field of art education: cultural and art workers, economists, sociologists, psychologists, managers, municipal leaders. …”
Get full text

Integrating CT radiomics and clinical data with machine learning to predict fibrosis progression in coalworker pneumoconiosis by Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Qian Li, Qian Li, Qian Li, Qian Li, Xinyi Xie, Wei Wang, Xuemei Li, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Li Zhang, Li Zhang, Li Zhang, Li Zhang, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Li Wang, Li Wang, Li Wang, Li Wang, Wutao Xie

Get full text

Artificial Neural Networks for Estimating Soil Water Retention Curve Using Fitted and Measured Data by Tirzah Moreira de Melo, Olavo Correa Pedrollo

“…In order to preclude this drawback, we present two ANN models which tested the performance of ANNs trained with fitted water contents data. These models were compared to a recent new ANN approach for predicting water retention curve, the pseudocontinuous pedotransfer functions (PTFs), which is also an attempt to deal with limited data. …”
Get full text

Data assetization and capital market information efficiency: evidence from Hidden Champion SMEs in China by Lili Chen

“…Abstract Data assets serve functions such as value preservation and appreciation, financing, and value creation. …”
Get full text

A Novel Extended Power-Lomax Distribution for Modeling Real-Life Data: Properties and Inference by Maha E. Qura, Mohammed Alqawba, Mashail M. Al Sobhi, Ahmed Z. Afify

“…The APPLx distribution is analytically tractable, and it can be used quite effectively for real-life data analysis. Key mathematical properties of the APPLx distribution including mode, moments, stress-strength reliability, quantile and generating functions, and order statistics are presented. …”
Get full text

Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems by Wanxing Sheng, Huaitian Zhang, Keyan Liu, Xiaoli Meng

“…Sustainable development of power and energy systems (PES) can effectively handle challenges of fuel shortage, environmental pollution, climate change, energy security, etc. Data of PES presents distinctive characteristics including large collection, wide coverage, diverse temporal and spatial scales, inconsistent sparsity, multiple structures and low value density, putting forward higher requirements for real-time and accuracy of data analysis, and bringing great challenges to operation analysis and coordinated control of PES. …”
Get full text

Going global: Comparing Chinese mobile applications’ data and user privacy governance at home and abroad by Lianrui Jia, Lotus Ruan

“…Lastly, we conducted content analysis of the terms of service and privacy policies to establish the app’s data collection, storage, transfer, use, and disclosure measures. …”
Get full text

Exploring Purpose-Driven Methods and a Multifaceted Approach in Dam Health Monitoring Data Utilization by Zhanchao Li, Ebrahim Yahya Khailah, Xingyang Liu, Jiaming Liang

“…Structural health monitoring (SHM) refers to the systematic observation and analysis of the structural condition over time, and it is essential in maintaining the safety, functionality, and long-term performance of dams. …”
Get full text

Optimizing pore pressure prediction in earth dams through the integration of panel data and intelligent models by Behrang Beiranvand, Taher Rajaee, Mehdi Komasi

“…This study presents an innovative spatiotemporal modeling approach that leverages data from properly functioning instruments to reconstruct missing measurements through panel data analysis. …”
Get full text

Design of Big Data Intelligent Operation and Maintenance Platform for Urban Rail Transit Signaling System by ZHANG Chong, HUANG Mengtao, AI Xin

“…These systems vary in construction ages and often have overlapping or redundant functions on the same railway line. Therefore, there is a need to develop a big data IOM (intelligent operation and maintenance) platform for signaling systems that integrates data and enables analytical functions. …”
Get full text

EdSurvey: an R package to analyze large-scale educational assessments data from NCES by Ting Zhang, Paul Bailey, Yuqi Liao, Emmanuel Sikali

“…The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. …”
Get full text

Advancing Emotionally Aware Child–Robot Interaction with Biophysical Data and Insight-Driven Affective Computing by Diego Resende Faria, Amie Louise Godkin, Pedro Paulo da Silva Ayrosa

“…This paper investigates the integration of affective computing techniques using biophysical data to advance emotionally aware machines and enhance child–robot interaction (CRI). …”
Get full text

VIBE: an R-package for VIsualization of Bulk RNA Expression data for therapeutic targeting and disease stratification by Indu Khatri, Saskia D. van Asten, Leandro F. Moreno, Brandon W. Higgs, Christiaan Klijn, Christiaan Klijn, Francis Blokzijl, Iris C. R. M. Kolder

“…VIBE’s versatility proves pivotal for disease stratification and therapeutic targeting in cancer and other diseases.ResultsVIBE offers a wide array of functions that streamline the visualization and analysis of transcriptomic data for single- and dual-targeting therapies. …”
Get full text

Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

Get full text

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 7. Internal Logic 1 by O. M. Polyakov

Get full text

Large scale investigation of GPCR molecular dynamics data uncovers allosteric sites and lateral gateways by David Aranda-García, Tomasz Maciej Stepniewski, Mariona Torrens-Fontanals, Adrian García-Recio, Marta Lopez-Balastegui, Brian Medel-Lacruz, Adrián Morales-Pastor, Alejandro Peralta-García, Miguel Dieguez-Eceolaza, David Sotillo-Nuñez, Tianyi Ding, Matthäus Drabek, Célien Jacquemard, Jakub Jakowiecki, Willem Jespers, Mireia Jiménez-Rosés, Víctor Jun-Yu-Lim, Alessandro Nicoli, Urszula Orzel, Aida Shahraki, Johanna K. S. Tiemann, Vicente Ledesma-Martin, Francho Nerín-Fonz, Sergio Suárez-Dou, Oriol Canal, Gáspár Pándy-Szekeres, Jiafei Mao, David E. Gloriam, Esther Kellenberger, Dorota Latek, Ramon Guixà-González, Hugo Gutiérrez-de-Terán, Irina G. Tikhonova, Peter W. Hildebrand, Marta Filizola, M. Madan Babu, Antonella Di Pizio, Slawomir Filipek, Peter Kolb, Arnau Cordomi, Toni Giorgino, Maria Marti-Solano, Jana Selent

Get full text

Accident Diagnosis and Evaluation System in Parking Lots Using Multisource Data Based on Bayesian Networks by Yijing Zhang, Zhan Zhang, Zhenyu Wang, Tongtong Lyu, Xianing Wang, Linjun Lu

“…Parking lots have many complex structures, diverse functions, and plentiful elements. The frequent flow of vehicles with narrow and dim spaces increases the probability of various traffic accidents. …”
Get full text