Preparation of Saccharomycopsis fibuligera Fuqu and Its Application in the Production of Xiaoqu Baijiu by LIU Xiao, HUANG Zhiguo, WEI Chunhui, REN Zhiqiang, XIE Jun, DENG Jie

“…In addition, PICRUSt2 functional prediction confirmed that the abundance of enzymes involved in the metabolism of acetic acid and ethyl acetate was higher in the experimental group than in the control group during the fermentation process. …”
Get full text

Field Observations during the Eleventh Microwave Water and Energy Balance Experiment (MicroWEX-11): from April 25, 2012, through December 6, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Tim H.M. van Emmerik, Robert Terwilleger, Alejandro Monsivais-Huertero, Jasmeet Judge, Susan Steele-Dunne, Roger De Roo, Ruzbeh Akbar, Ella Baar, Max Wallace, Anthony England

“… This new report from UF/IFAS researchers provides another set of observation data that can be used to develop better models for accurate prediction of weather and near-term climate. It describes the observations conducted during the MicroWEX-11, a season-long experiment incorporating active and passive microwave observations for bare soil, elephant grass, and sweet corn using a variety of sensors to understand land–atmosphere interactions and their effect on observed microwave signatures. …”
Get full text

Physical experimental simulation of unconventional reservoir formation process for carboniferous in Hudson Oilfield, Tarim Basin by Rujun Wang, Yongliang Tang, Wei Zhou, Daiyu Zhou, Zangyuan Wu, Guangqiang Shao

“…And the application of advanced simulations, enhancing unconventional reservoir prediction accuracy by 25% compared to standard geological techniques. …”
Get full text

Detection of Corn Quality Based on Surface-Enhanced Raman Spectroscopy and Electronic Nose Technology by HuiHe Yang, XiaoYan Wei, Guifang Wu, PengCheng Qiu, JiaNing Di, XiangPeng Zhao, WenDong Zhong, He Ren

“…The results showed that the model’s coefficient of determination of the test set for predicting AFB1 reached 0.70, and the model’s coefficient of determination of the test set for predicting OTA reached 0.74. …”
Get full text

Reliability Estimation of Parameters of Helical Wind Turbine with Vertical Axis by Adela-Eliza Dumitrascu, Badea Lepadatescu, Dorin-Ion Dumitrascu, Anisor Nedelcu, Doina Valentina Ciobanu

“…This can be achieved through a rigorous design, appropriate simulation and testing, and proper construction. The reliability prediction and analysis of these systems will lead to identifying the critical components, increasing the operating time, minimizing failure rate, and minimizing maintenance costs. …”
Get full text

Bearing Capacity of Recycled Self-Compacting Concrete-Filled Circular Steel Tubular Long Columns Subjected to Axial Load by Feng Yu, Jie Song, Shuangshuang Bu, Jingfeng Wang, Haiying Wan, Wanyu Shen, Wei Huang, Yuan Fang

“…Based on the combined tangent modulus theory and bearing capacity of the RSCCFCST short columns, two estimation models are presented to predict the ultimate bearing capacity of the RSCCFCST long columns. …”
Get full text

Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network by Xue Yan, Xiangwu Deng, Shouheng Sun

“…Human resource management risks are due to the failure of employer organization to use relevant human resources reasonably and can result in tangible or intangible waste of human resources and even risks; therefore, constructing a practical early warning model of human resource management risk is extremely important for early risk prediction. The back propagation (BP) neural network is an information analysis and processing system formed by using the error back propagation algorithm to simulate the neural function and structure of the human brain, which can handle complex and changeable things that do not have an obvious linear relationship between output results and input factors, so as to find the objective connection between the two. …”
Get full text

CRIP1 inhibits cutaneous melanoma progression through TFAM-mediated mitochondrial biogenesis by Jianqiang Wu, Lixia Chen, Peijun Wen

“…However, the biological function and underlying mechanisms of CRIP1 in melanoma progression are largely unknown. Bioinformatic prediction of CRIP1 expression in melanoma and its association with clinical parameters and prognosis of patients. …”
Get full text

Assessment of future urban flood risk of Thailand's bangkok metropolis using geoprocessing and machine learning algorithm by Duangporn Garshasbi, Jarunya Kitiphaisannon, Tanaphoom Wongbumru, Nawhath Thanwiset Thanvisitthpon

“…This research is the first to integrate geoprocessing with machine learning to enhance the prediction performance and accuracy of future urban flood risk projections.…”
Get full text

Concurrent Heat Extremes in Relation to Global Warming, High Atmospheric Pressure and Low Soil Moisture in the Northern Hemisphere by Dalai Nasong, Sha Zhou, Kai Kornhuber, Bofu Yu

“…Given the ever‐increasing risks of heat extremes, our study underscores the importance of identifying the mechanisms of spatially concurrent heat extremes to improve prediction and mitigation of widespread heatwaves and their adverse impacts on socio‐economic sustainability and human well‐being.…”
Get full text

Acoustic Emission Simulation on Coal Specimen Subjected to Cyclic Loading by Huiqiang Duan, Depeng Ma

“…Therefore, it is of great significance to study the AE evolution of loaded coal and rock masses for the evaluation of damage degree and prediction of collapse. The paper mainly represents a numerical simulation investigation of the AE characteristics of coal specimen subjected to cyclic loading under three confining pressures, loading-unloading rates, and valley stresses. …”
Get full text

Assessing agritourism-integrated rural human settlement environment under the “dual-carbon” goal: evidence from Zhejiang, China by Shuaijun Lin, Hongfeng Zhang, Johnny F. I. Lam

“…Meanwhile, the BP neural network model was applied to predict the scores of 22 sample villages, and the prediction results were highly correlated with the actual ones. …”
Get full text

Anxiety classification in virtual reality using biosensors: A mini scoping review. by Deniz Mevlevioğlu, Sabin Tabirca, David Murphy

“…<h4>Background</h4>Anxiety prediction can be used for enhancing Virtual Reality applications. …”
Get full text

Reproduction of Local Strong Wind Area Induced in the Downstream of Small-Scale Terrain by Computational Fluid Dynamic (CFD) Approach by Takanori Uchida, Keiji Araki

“…A computational simulation for the prediction of wind conditions by large-eddy simulation (LES) was implemented, and it was clarified that local strong wind areas are mainly caused by separated flows originating from small-scale terrain positioned at its upstream (at approximately 180 m above sea level). …”
Get full text

Permanent Deformation Characteristics of Coarse Grained Subgrade Soils under Train-Induced Repeated Load by Xianzhang Ling, Peng Li, Feng Zhang, Yingying Zhao, Yan Li, Lingshi An

“…A simplified mechanistic empirical prediction model was proposed, which predicted the permanent deformation as product of four independent functions about cyclic stress amplitude, initial mean stress, initial stress ratio, and number of load cycles. …”
Get full text

Defend Against Property Inference Attack for Flight Operations Data Sharing in FedMeta Framework by Jin Lei, Weiyun Li, Meng Yue, Zhijun Wu

“…FedMeta-CTGAN adapts quickly to unbalanced data, achieving a prediction accuracy of 96.33%, while reducing the attacker’s inference AUC score to 0.51 under property inference attacks. …”
Get full text

Thermodynamic, diffusion and precipitation behaviors in Cu–Ni–Si–Co alloys: Modeling and experimental validation by Haoyue Ling, Ying Tang, Jing Zhong, Xiangpeng Meng, Min Zhang, Lijun Zhang

“…Aging precipitation is an important process that affects the mechanical and electrical properties of Cu alloys. Quantitative prediction of microstructure evolution during aging process is crucial for controlling their performance. …”
Get full text

Reflections on the Impact of Extreme Weather on New Power Systems and Countermeasures by Chen CAO, Zengping WANG

“…In addition, the paper points out the significance of strengthening in-depth integration of power systems and meteorological systems for enhancing risk prediction and dynamic response capabilities of the system, thus providing scientific basis and technical support for improving the system resilience.…”
Get full text

Structural Optimization of the Aircraft NACA Inlet Based on BP Neural Networks and Genetic Algorithms by Zhimao Li, Changdong Chen, Houju Pei, Benben Kong

“…Results show that (1) the optimization algorithm is efficient with less prediction error of the mass flow rate and fuel penalty. …”
Get full text

Artificial Intelligence (AI) in the Banking Industry: A Review of Service Areas and Customer Service Journeys in Emerging Economies by Tajudeen Alaburo Abdulsalam, Rofiat Bolanle Tajudeen

“…The research highlights AI's growing use in process automation, customer experience, stock market trend prediction, credit risk management, online banking, marketing management, and auditing. …”
Get full text