Dynamic Evaluation Method of Straightness Considering Time-Dependent Springback in Bending-Straightening Based on GA-BP Neural Network by Qingshun Kong, Zhonghua Yu

“…This paper presents a dynamic evaluation method of straightness considering time-dependent springback in the bending-straightening process. Firstly, based on viscoelastic mechanics and bending-straightening, the influencing factors of time-dependent springback were analyzed on the basis of certain assumptions, including straightening stroke.…”
Get full text

Load Day-Ahead Automatic Generation Control Reserve Capacity Demand Prediction Based on the Attention-BiLSTM Network Model Optimized by Improved Whale Algorithm by Bin Li, Haoran Li, Zhencheng Liang, Xiaoqing Bai

“…In order to adapt to new forms of power systems, a day-ahead automatic generation control (AGC) reserve capacity demand prediction method based on the Fourier transform and the attention mechanism combined with a bidirectional long and short-term memory neural network model (Attention-BiLSTM) optimized by an improved whale optimization algorithm (IWOA) is proposed. Firstly, based on the response time, Fourier transform is used to refine the distinction between various types of load reserve demand, and the power of the AGC reserve band is calculated using Parseval’s theorem to obtain the reserve capacity demand sequence. …”
Get full text

Presenting a Method for Evaluating the Safety Risk Management Process in Industries Using Fuzzy Logic Approach by Hamidreza Mehri, Faeze Sepahi-Zoeram, Ali Karimi, Farideh Golbabaei

“…Methods: This descriptive cross-sectional study was conducted in 2018 in Tehran. First, based on library studies and experts' opinions, Jaques non-linear crisis management model was selected, and based on this model, the parameters of the risk management process were extracted. …”
Get full text

Pressure-Dependent Structure of BaZrO₃ Crystals as Determined by Raman Spectroscopy by Dong-Hyeon Gim, Yeahan Sur, Yoon Han Lee, Jeong Hyuk Lee, Soonjae Moon, Yoon Seok Oh, Kee Hoon Kim

“…Here, the Raman scattering spectra of high-quality BaZrO₃ single crystals grown by the optical floating zone method are investigated in a pressure range from 1 atm to 42 GPa. First, based on the analyses of the infrared and Raman spectra measured at atmospheric pressure, it was found that all the observed vibrational modes could be assigned according to the cubic <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>P</mi><mi>m</mi><mover accent="true"><mn>3</mn><mo>¯</mo></mover><mi>m</mi></mrow></semantics></math></inline-formula> structure. …”
Get full text

Research and Implementation of High Computational Power for Training and Inference of Convolutional Neural Networks by Tianling Li, Bin He, Yangyang Zheng

“…Numerous repeated multiplication and accumulation operations in the process of CNN training and inference have been implemented by programmable logic (PL), which significantly improves the speed of CNN training and inference and reduces the overall power consumption, thus providing a modern implementation method for neural networks in an application field that is sensitive to power, cost, and footprint. First, based on the data stream containing the training and inference process of the CNN, this study investigates methods to merge the training and inference data streams. …”
Get full text

Individual and contextual level enablers and barriers determining electronic community health information system implementation in northwest Ethiopia by Tesfahun Hailemariam, Asmamaw Atnafu, Lemma Derseh Gezie, Jens Johan Kaasbøll, Jörn Klein, Binyam Tilahun

“…We applied the five components of consolidated framework for implementation research to interpret the findings. Results First, based on the intervention's characteristics, implementers valued the eCHIS program. …”
Get full text

The storage capacity of a directed graph and nodewise autonomous, ubiquitous learning by Hui Wei, Fushun Li

“…A memory computational model based on active directed graphs and node-adaptive learning is proposed. First, based on neuronal local perspectives, autonomous initiative, limited resource competition, and other neurobiological characteristics, a resource-based adaptive learning algorithm for directed graph nodes is designed. …”
Get full text

The Popularity of Single-Family Housing in Real Estate Development Activity in the Light of the Pandemic – the Case Study of Łódź by Agata Antczak-Stępniak

“…Research methods: In order to achieve the set goals, the desk research method was used. First, based on statistical data of the Local Data Bank situation on the primary residential real estate market was analyzed (in Łodź). …”
Get full text

Reconstructing deglacial ocean ventilation using radiocarbon : data and inverse modeling by Zhao, Ning, Ph. D. Massachusetts Institute of Technology

Get full text

Enhancing understanding of programming concepts through physical games by Raja Yusof, Raja Jamilah, Habib, Ahsan

“…The motivation behind this approach is firstly based on learning style theories that many students are of the kinaesthetic typed compared to the visual and auditory and this is also true in the context of computer science students. …”
Get full text

Development of an Automated Instrument for Measuring the Usefulness of Mathematics Tutorial Courseware by Sahari @ Ashaari, Noraidah

“…Each participant was required to evaluate the courseware heuristically and complete the IPKpkm form. First, based on the theoretical perspective, a hypothesize model with three factors which were usability, functionality and efficiency, five sub-factors and seven criteria were proposed. …”
Get full text

Discovery of Novel Pterostilbene Derivatives That Might Treat Sepsis by Attenuating Oxidative Stress and Inflammation through Modulation of MAPKs/NF-κB Signaling Pathways by Mengyuan Fang, Tingfeng Zou, Xiaoxiao Yang, Zhen Zhang, Peichang Cao, Jihong Han, Yajun Duan, Ban-Feng Ruan, Qing-Shan Li

“…Starting from it, we have made several rounds of rational optimizations. Firstly, based on the strategy of pharmacophore combination, indanone moiety was introduced onto the pterostilbene skeleton to generate a novel series of pterostilbene derivatives (<b>PIF_1</b>–<b>PIF_16</b>) which could possess both anti-oxidative and anti-inflammatory activities for sepsis treatment. …”
Get full text

Integrated network pharmacology, metabolomics, transcriptomics and microbiome strategies to reveal the mechanism of Sang Ju Yin on the treatment of acute lung injury on the gut-mic... by Song Lin, Ruinan Ren, Fang Wang, Zilong He, Cuiyan Han, Jinling Zhang, Wenbao Wang, Jie Zhang, Huiyu Wang, Huimin Sui, Tianyang Wang

“…This study intended to explore the therapeutic material basis and molecular mechanisms of a classical traditional Chinese medicinal prescription, Sang Ju Yin (SJY), against ALI, focusing on the chemical components of formula composition, the disturbance of host genes/metabolites and the dysbiosis of intestinal flora. First, based on liquid chromatography-mass spectrometry (LC-MS) component analysis, 212 in vitro and 44 in vivo compounds were identified respectively in SJY. …”
Get full text

Wuzi Yanzong Pill—Based on Network Pharmacology and In Vivo Evidence—Protects Against Spermatogenesis Disorder via the Regulation of the Apoptosis Pathway by Wang-qiang Chen, Cai-fei Ding, Jia Yu, Chen-ye Wang, Ling-yi Wan, Hui-min Hu, Jian-xiong Ma, Jian-xiong Ma, Jian-xiong Ma

“…This study was designed to investigate the effects of the WZYZP on spermatogenesis disorder and explore its underlying pharmacological mechanisms. First, based on a network pharmacology study, 39 bioactive compounds and 40 targets of the WZYZP associated with spermatogenesis disorder were obtained, forming a tight compound-target network. …”
Get full text

Study on Land Subsidence Simulation Based on a Back-Propagation Neural Network Combined with the Sparrow Search Algorithm by Xueqi Zhu, Wantian Zhu, Lin Guo, Yinghai Ke, Xiaojuan Li, Lin Zhu, Ying Sun, Yaxuan Liu, Beibei Chen, Jinyan Tian, Huili Gong

“…This paper innovatively introduced a back-propagation (BP) neural network subsidence simulation model which was optimized by the sparrow search algorithm (SSA), hereinafter referred to as the SSA-BP model, to simulate land subsidence in Tongzhou District, Beijing. First, based on the time series interferometric synthetic aperture radar (InSAR) monitoring, different technologies such as spatial analysis, Google Earth Engine (GEE), and machine learning were utilized together with a variety of multi-source spatial data, including groundwater level, compressible layer thickness, Visible Infrared Imager Radiometer Suite (VIIRS) nighttime light images, and the OpenStreetMap (OSM) road distribution. …”
Get full text

Monitoring and Analysis of the Collapse at Xinjing Open-Pit Mine, Inner Mongolia, China, Using Multi-Source Remote Sensing by Nianbin Zhang, Yunjia Wang, Feng Zhao, Teng Wang, Kewei Zhang, Hongdong Fan, Dawei Zhou, Leixin Zhang, Shiyong Yan, Xinpeng Diao, Rui Song

“…Therefore, in this study, multi-source remote sensing methods, combined with local geological conditions, are employed to monitor the open-pit mine and analyze the causes of the accident. Firstly, based on GF-2 data, remote sensing interpretation methods are used to locate and analyze the collapse area. …”
Get full text

Research on carbon flow traceability system for distribution network based on blockchain and power flow calculation by Heyang Sun, Tong Li, Chao Yang, Yingli Zhang, Jinliang Song, Zhenjiang Lei, Gangjun Gong, Yang Liu

“…It realizes the calculation and tracing of carbon emission flow in power distribution network and ensures the reliability of carbon traceability results, high efficiency of information transmission and transparency of traceability process. Firstly, based on the characteristics of the master-slave multi-chain structure in the consortium chain, In this paper, high-voltage substation nodes are the main chain nodes, and carbon flow tracing and calculation are carried out for the associated low-voltage substations, and the information of high-voltage or low-voltage substation nodes is guaranteed to be tamper-free through the hash anchoring method. …”
Get full text

Regulation of Evapotranspiration in Different Precipitation Zones and Its Application in High-Temperature and Drought Monitoring by Lijuan Wang, Ni Guo, Ping Yue, Die Hu, Sha Sha, Xiaoping Wang

“…To achieve an accurate monitoring of large-scale drought using remote sensing, it is particularly necessary to clarify the temporal and spatial characteristics of ET changes with soil water content (SWC). Firstly, based on the measured data, combined with the artificial intelligence particle swarm optimization (PSO) algorithm, an empirical model of ET retrieval by FY–4A satellite data was established and the spatial–temporal characteristics of ET changes with SWC were further analyzed. …”
Get full text

The molecular, immune features, and risk score construction of intraductal papillary mucinous neoplasm patients by Xing Huang, Yipeng Feng, Yipeng Feng, Yipeng Feng, Dawei Ma, Hanlin Ding, Hanlin Ding, Hanlin Ding, Gaochao Dong, Gaochao Dong, Yan Chen, Xiaochen Huang, Jingyuan Zhang, Xinyu Xu, Chen Chen

“…The mRNA expression data of IPMN/PAAD patients were extracted from the TCGA and GEO databases. First, based on GSE19650, we analyzed the molecular alterations, tumor stemness, immune landscape, and transcriptional regulation of IPMN progression. …”
Get full text

Increasing the Number of Sea Surface Reflected Signals Received by GNSS-Reflectometry Altimetry Satellite Using the Nadir Antenna Observation Capability Optimization Method by Zongqiang Liu, Wei Zheng, Fan Wu, Guohua Kang, Zhaowei Li, Qingqing Wang, Zhen Cui

“…This paper has carried out the following research on this. Firstly, based on the GNSS-R geometric relationship and signal processing theory, the nadir antenna signal-to-noise ratio model (NASNRM) with the gain and the elevation angle at the specular point (SP) as the main parameters is established. …”
Get full text