Synchronization control of multi-cylinder propulsion for autonomous walking of deep underground fluidized coal mining equipments by Jiusheng BAO, Yuefeng LI, Heng ZHOU, Yan YIN, Shaodi ZHAO, Zhongbin WANG, Shirong GE

“…Faced with the difficulty of deep coal mining beyond 2000 meters, an autonomous walking mechanism suitable for fluidized mining equipment was designed, and the focus was on the problem of multi-cylinder synchronous control in the hydraulic propulsion system of this mechanism. Firstly, based on the principle of fluidized mining technology and equipment composition, a resistance increasing step type autonomous walking mechanism was designed, which can achieve segmented autonomous walking of multiple compartments such as excavation, transformation, and output. …”
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Design and application of electromechanical flywheel hybrid device for electric vehicle by Binbin Sun, Tianqi Gu, Bo Li, Pengwei Wang, Song Gao, Shubin Wei

“…Therefore, the optimization design of electromechanical flywheel device’s parameters and the energy management strategy are the main research objects in this paper. Firstly, based on the working principle of planetary gear mechanism, the dynamic characteristics of electromechanical flywheel device under different topological structure schemes are analyzed, and the design schemes of speed regulating motor connecting to the sun gear, flywheel connecting to the ring gear and output end connecting to the planet carrier are determined. …”
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A SAR-GMTI Approach Aided by Online Knowledge With an Airborne Multichannel Quad-Pol Radar System by Chaolei Han, Zhiwei Yang, Guisheng Liao, Qingjun Zhang, Shun He, Huajian Xu

“…Generally, this article can be divided into two parts: online knowledge acquisition and polarization knowledge-aided (Pol-KA) SAR-GMTI processing. First, based on the similarity of pixels from the multichannel and multipolarization information, a weighed estimation method of polarimetric coherency matrix is proposed, which can overcome the over-smoothing problem and increase the estimation accuracy of coherency matrix. …”
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A Weak Sample Optimisation Method for Building Classification in a Semi-Supervised Deep Learning Framework by Yanjun Wang, Yunhao Lin, Huiqing Huang, Shuhan Wang, Shicheng Wen, Hengfan Cai

“…Therefore, to address the problem of generating and optimising the quality of weak samples from training data in deep learning, this paper proposes a semi-supervised building classification framework. Firstly, based on the test results of the remote sensing image segmentation model and the unsupervised classification results of LiDAR point cloud data, this paper quickly generates weak image samples of buildings. …”
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From Textuality to Universality: The Evolution of Ḥirābah Crimes in Islamic Jurisprudence by Moh Khasan

“…The author reveals in the conclusion that; first, based on its elements and characteristics, the definition of ḥirābah can be expanded to include new types of crimes such as; terrorism, rape, and drug trafficking and smuggling. …”
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Channel Characteristics and Link Adaption for Visible Light Communication in an Industrial Scenario by Yu Tong, Pan Tang, Jianhua Zhang, Shuo Liu, Yue Yin, Baoling Liu, Liang Xia

“…The main contributions of this paper are divided into three aspects. Firstly, based on the simulated data, large-scale fading and multipath-related characteristics, including the channel impulse response (CIR), optical path loss (OPL), delay spread (DS), and angular spread (AS), are analyzed and modeled through the distance-dependent and statistical distribution models. …”
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Prediction Method for Surface Subsidence of Coal Seam Mining in Loess Donga Based on the Probability Integration Model by Bingchao Zhao, Yaxin Guo, Xuwei Mao, Di Zhai, Defu Zhu, Yuming Huo, Zedong Sun, Jingbin Wang

“…A method for predicting the subsidence value of two regions is established. First, based on the theory of probability integral and rock formation movement, the probability integral parameters of the horizontal stratum area are determined, and the subsidence basins in the area are superimposed and calculated. …”
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Multivariate Seismic Fragility Analysis of a Nuclear Power Plant Containment Based on Generalized Conditional Spectra by WANG Xiaolei;YAN Weidong;LYU Dagang

“…In this paper, the multivariate seismic fragility analysis of a nuclear power plant containment in China was conducted via the generalized conditional spectrum for the nuclear power plant site in China. Firstly, based on the vector probabilistic seismic hazard analysis and disaggregation theory of the site in China, the generation method and steps of the generalized conditional spectra of the site in China were proposed. …”
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Research on Insect Pest Identification in Rice Canopy Based on GA-Mask R-CNN by Sitao Liu, Shenghui Fu, Anrui Hu, Pan Ma, Xianliang Hu, Xinyu Tian, Hongjian Zhang, Shuangxi Liu

“…Aiming at difficult image acquisition and low recognition accuracy of two rice canopy pests, rice stem borer and rice leaf roller, we constructed a GA-Mask R-CNN (Generative Adversarial Based Mask Region Convolutional Neural Network) intelligent recognition model for rice stem borer and rice leaf roller, and we combined it with field monitoring equipment for them. Firstly, based on the biological habits of rice canopy pests, a variety of rice pest collection methods were used to obtain the images of rice stem borer and rice leaf roller pests. …”
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Estimating the global demand curve for a leishmaniasis vaccine: A generalisable approach based on global burden of disease estimates. by Sakshi Mohan, Paul Revill, Stefano Malvolti, Melissa Malhame, Mark Sculpher, Paul M Kaye

“…<h4>Methodology/principal findings</h4>We project the ability to pay over the period 2030-2040 for a vaccine preventing cutaneous and visceral leishmaniasis (CL / VL), using an illustrative set of countries which account for most of the global disease burden. First, based on previous work on vaccine demand projections in these countries and CL / VL GBD-reported incidence rates, we project the potential long-term impact of the vaccine on disability-adjusted life years (DALYs) averted as a result of reduced incidence. …”
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Expanding the scope of the obligation of the state to protect the right to life of persons under its jurisdiction according to the recent jurisprudence of the European Court of Hum... by Ilić Ivan

“…By applying this principle, the Court has expanded the scope of the positive obligation of the State to protect the right to life of persons under its jurisdiction, which is evident in the recent practice of the Court. First, based on the Mastromatteo and Maiorano cases, the Court has established the criterion that there shall be a risk to society, instead of a risk to the life of a specific or at least identifiable person. …”
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Automated Detection and Scoring of Tumor-Infiltrating Lymphocytes in Breast Cancer Histopathology Slides by Mohammad Yosofvand, Sonia Y. Khan, Rabin Dhakal, Ali Nejat, Naima Moustaid-Moussa, Rakhshanda Layeequr Rahman, Hanna Moussa

“…Our goal was to develop and apply a TILs detection tool that utilizes deep learning models, following two sequential steps. First, based on the guidelines from the International Immuno-Oncology Biomarker Working Group (IIOBWG) on Breast Cancer, we labeled 63 large pathology imaging slides and annotated the TILs in the stroma area to create the dataset required for model development. …”
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A Question-Answering Model Based on Knowledge Graphs for the General Provisions of Equipment Purchase Orders for Steel Plants Maintenance by Sang-Hyuk Lee, So-Won Choi, Eul-Bum Lee

“…GPQAM is a machine learning (ML)-based model with two sub-models (i.e., KG and QA) that automatically generates the most relevant answers to semantic search questions through a cypher query statement in GP for the PO engineers. First, based on the developed GP lexicon and its classifying taxonomy to be stored in the Neo4j graph database (GDB), the KG sub-model finds the corresponding synonyms and consequently shows GP-related information in a graphic form. …”
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Molecular Dynamics Simulation Studies of Properties, Preparation, and Performance of Silicon Carbide Materials: A Review by Zefan Yan, Rongzheng Liu, Bing Liu, Youlin Shao, Malin Liu

“…The common potential functions for MD simulations of silicon carbide materials were summarized firstly based on extensive literatures. The key parameters, complexity, and application scope were compared and analyzed. …”
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The Safety Risk Assessment of Mine Metro Tunnel Construction Based on Fuzzy Bayesian Network by Qiankun Wang, Jiaji Zhang, Ke Zhu, Peiwen Guo, Chuxiong Shen, Zhihua Xiong

“…To reduce the probability of accidents and improve safety risk management in the whole process of subway tunnel construction using the mining method, we propose a dynamic safety evaluation method based on Fuzzy Set Theory (FST) and Bayesian Network (BN). Firstly, based on the identification of main stages of the construction process using the Work Breakdown Structure, a safety risk evaluation index system for subway tunnel construction using the mining method was constructed according to the Risk Breakdown Structure. …”
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Analysis of the Contribution Rate of the Influencing Factors to Land Subsidence in the Eastern Beijing Plain, China Based on Extremely Randomized Trees (ERT) Method by Fengkai Li, Huili Gong, Beibei Chen, Chaofan Zhou, Lin Guo

“…The pattern of evolution of this geological phenomenon is controlled by many factors, including groundwater level change in different aquifers, compressible layers of different thicknesses, and static and dynamic loads. First, based on the small baseline subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique, we employed 47 ENVISAT ASAR images and 48 RADARSAT-2 images to acquire the ground deformation of the Beijing Plain from June 2003 to November 2015 and then validated the results using leveling benchmark monitoring. …”
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Building Function Type Identification Using Mobile Signaling Data Based on a Machine Learning Method by Wenyu Nie, Xiwei Fan, Gaozhong Nie, Huayue Li, Chaoxu Xia

“…Considering that the dynamic variations of social sensing mobile signaling (MS) data at diurnal and daily scales are directly related to BFT, in this paper, we propose a method to infer BFT using MS data obtained from mobile devices. First, based on the different patterns of population dynamics within different building types, we propose a BFT classification scheme with five categories: residential (<i>R</i>), working (<i>W</i>), entertainment (<i>E</i>), visiting (<i>V</i>), and hospital (<i>H</i>). …”
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Dynamic Analysis of a COVID-19 Vaccination Model with a Positive Feedback Mechanism and Time-Delay by Xin Ai, Xinyu Liu, Yuting Ding, Han Li

“…As the novel coronavirus pandemic has spread globally since 2019, most countries in the world are conducting vaccination campaigns. First, based on the traditional SIR infectious disease model, we introduce a positive feedback mechanism associated with the vaccination rate, and consider the time delay from antibody production to antibody disappearance after vaccination. …”
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Non-linear Standing Waves in a Rectangular Tank Due to Forced Oscillation by Lin, J. D., Howard, L. N.

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A new hybrid model using Step-wise Weight Assessment Ratio Analysis (SWARA) technique and Adaptive Neuro-fuzzy Inference System (ANFIS) for regional landslide hazard assessment in... by Dehnavi, Alireza, Aghdam, Iman Nasiri, Pradhan, Biswajeet, Morshed Varzandeh, Mohammad Hossein

“…This paper proposes a novel hybrid model based on step-wise weight assessment ratio analysis (SWARA) method and adaptive neuro-fuzzy inference system (ANFIS) to evaluate landslide susceptible areas using geographical information system (GIS). At first, based on an inventory map, landslide locations were randomly divided into two parts, 70% of which were used for generating the landslide hazard map and 30% of which were used for the validation of the model. …”
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