APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence by Jingyi Xie, Daniel G. Chen, William Chour, Rachel H. Ng, Rongyu Zhang, Dan Yuan, Jongchan Choi, Michaela McKasson, Pamela Troisch, Brett Smith, Lesley Jones, Andrew Webster, Yusuf Rasheed, Sarah Li, Rick Edmark, Sunga Hong, Kim M. Murray, Jennifer K. Logue, Nicholas M. Franko, Christopher G. Lausted, Brian Piening, Heather Algren, Julie Wallick, Andrew T. Magis, Kino Watanabe, Phil Mease, Philip D. Greenberg, Helen Chu, Jason D. Goldman, Yapeng Su, James R. Heath

“…Abstract Elucidating the relationships between a class I peptide antigen, a CD8 T cell receptor (TCR) specific to that antigen, and the T cell phenotype that emerges following antigen stimulation, remains a mostly unsolved problem, largely due to the lack of large data sets that can be mined to resolve such relationships. Here, we describe Antigen-TCR Pairing and Multiomic Analysis of T-cells (APMAT), an integrated experimental-computational framework designed for the high-throughput capture and analysis of CD8 T cells, with paired antigen, TCR sequence, and single-cell transcriptome. …”
Get full text

Numerical Simulation of Parameters Optimization for Goaf Gas Boreholes by Jiajia Liu, Jianliang Gao, Ming Yang, Dan Wang, Liang Wang

“…In view of the ground drilling of the N2206 working face in Shanxi Wangzhuang Coal Mine, the gas concentration is low and the extraction effect is not good. …”
Get full text

Investigation of Coal Preparation for Life Cycle by Using Building Information Modeling (BIM): A Case Study by Jian Chen, Da-Lin Guo, Xiao-Long Dong, Xiao-Bo Hou, Zhi-Feng Wang

“…Increasing the efficiency of coal preparation is the key link of mine production. This study proposed a framework of coal preparation for life cycle based on Building Information Modeling (BIM), in which the data resources can be retransmitted, and the integration of BIM application links has a high level. …”
Get full text

An electrolyte-gated transistor for the monitoring of a CRISPR/Cas activity by Pierre Guermonprez, Le Tu Anh, Louis Renaud, Pierre Nioche, Eric Krejci, Aurélie Alleaume-Butaux, Nicolas Battaglini, Vu Thi Thu, Sébastien Sanaur, Benoît Piro

Get full text

A young adult patient with Philadelphia positive acute lymphoblastic leukemia presenting with extreme hyperleukocytosis by Gulten Tikit, Elif Yucesu, Aliye Serpil Sarıfakıoglu, Imdat Dilek, Sule Mine Bakanay

Get full text

Pattern Formation in a Cross-Diffusive Holling-Tanner Model by Weiming Wang, Zhengguang Guo, R. K. Upadhyay, Yezhi Lin

Get full text

Structural Analysis of Backfill Highway Subgrade on the Lower Bearing Capacity Foundation Using the Finite Element Method by Wenjuan Xu, Xin Huang, Jiandong Huang, Zhengjun Yang

Get full text

The Spread of Information in Virtual Communities by Zhen Zhang, Jin Du, Qingchun Meng, Xiaoxia Rong, Xiaodan Fan

“…Our research provides insightful ways for enterprises to mine information from VCs.…”
Get full text

Performance Comparison between Neutralization Tailings and Flotation Tailings Used for Backfill Mix and Mechanism Analysis by Bin Han, Wei Sun, Shaofeng Yu, Chao Liu, Song Yao, Jianxun Wu

“…A comparison test of different tailings used for underground backfill was conducted, using neutralized tailings from BIOX and flotation tailings of Jinfeng Mine. Laboratory comparison test results show that, with neutralized tailings, when the cement dosage is at 19%, backfill UCS after 7 days, 14 days, and 28 days are 105%–163%, 80%–102%, and 33%–43%, respectively, which are higher than those of flotation tailings. …”
Get full text

Application of Improved Deep Learning Method in Intelligent Power System by HuiJie Liu, Yang Liu, ChengWen Xu

“…The method uses the convolutional neural network to establish the energy prediction calculation model, uses CNN adaptive data features to mine characteristics, quantifies power uncertainty, uses drop regularization to optimize the deep network structure, uses the deep forest to learn the extracted data features, and builds a prediction model, in order to achieve accurate prediction of power load and solve the problem that the accuracy of existing forecasting methods decreases due to random fluctuations of power. …”
Get full text

Design and Optimization of a Triangular Shear Piezoelectric Acceleration Sensor for Microseismic Monitoring by Yannan Shi, Shuaishuai Jiang, Yang Liu, Yiying Wang, Penglei Qi

“…Aiming at the characteristics of low sensitivity and narrow frequency range of existing microseismic monitoring sensors for mine water hazard prevention and control, a piezoelectric acceleration sensor for microseismic monitoring based on a kind of triangular shear structure is proposed. …”
Get full text

Algorithm Indicating Moment of P-Wave Arrival Based on Second-Moment Characteristic by Jakub Sokolowski, Jakub Obuchowski, Radoslaw Zimroz, Agnieszka Wylomanska, Eugeniusz Koziarz

“…Effectiveness of the algorithms is tested on seismic data acquired from O/ZG “Rudna” underground copper ore mine with moments of P-wave arrival initially picked by broadly known STA/LTA algorithm and then corrected by seismic station specialists. …”
Get full text

Research on Gas Exploration Shock Wave Spread Law via One-Way Bifurcation Pipeline by Zhi-wei Jia, Bo Li, Sheng-ming Xu

“…The research achievements in the paper had important significance for the assessment of structures damage in mine laneways gas exploration accidents and installation of the antiexploration manhole cover, which further enriched gas exploration spread theory.…”
Get full text

A Data-Driven Fault Prediction Method for Nuclear Power Systems Based on End-to-End Deep Learning Framework by Lu Chao, Chunbing Wang, Shuai Chen, Qizhi Duan, Hongyun Xie

“…For this purpose, we present an end-to-end deep network for nuclear power system prediction (EDN-NPSP), which can automatically mine the transient features of various detection data in the NPS at the current moment through heterogeneous convolution kernels that can increase the receptive field and then predict the feature evolution results of the NPS in the future through a special deep CNN. …”
Get full text

A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery by Hailong Lin, Zihao Lei, Guangrui Wen, Xiaojun Tian, Xin Huang, Jinsong Liu, Haoxuan Zhou, Xuefeng Chen

“…However, the existing label construction methods make more use of expert experience and seldom mine knowledge from data and combine experience to assist in constructing a health index (HI). …”
Get full text

Encrypted Search Method for Cloud Computing Data Under Attack Based on TF-IDF and Apriori Algorithm by Demei Mao, Mingzhu Wang

“…SEMSS uses the Apriori algorithm to mine the co-occurrence relationship between words and find the keyword set that meets the minimum support threshold to improve the recall rate of search results. …”
Get full text

A Study on the Factors Influencing Coal Fracturing Range Caused by Liquid Carbon Dioxide Phase Transition by Xinyu Hu, Runxu Zhang, Bailin Zhang, Xinghua Zhang, Lulu Zhang, Yongdan Yang, Fazhi Yan

“…Therefore, in this paper, a multifield coupled model for fracturing coal bodies by LCPTF is established; the effect of blasting pressure, vent diameter, and blasting time on blasting effectiveness was studied; a numerical simulation study based on the seepage field and stress field is performed and verified in the field based on the specific geological conditions of Hujiahe mine. Experimental results show that the fracturing radius and the maximum displacement of coal increase with the increase of blasting pressure, and the fracturing radius is 4.875 m when the blasting pressure is 280 MPa, which is 9.6% higher than that of 200 MPa, and the effect is obvious. …”
Get full text

Ignition by Hot Transient Jets in Confined Mixtures of Gaseous Fuels and Air by Abdullah Karimi, M. Razi Nalim

“…Ignition of a combustible mixture by a transient jet of hot reactive gas is important for safety of mines, prechamber ignition in IC engines, detonation initiation, and novel constant-volume combustors. …”
Get full text

A Review of Enhanced Methods for Oil Recovery from Sediment Void Oil Storage in Underground Salt Caverns by Xinxing Wei, Xilin Shi, Yinping Li, Peng Li, Mingnan Xu, Yashuai Huang, Yang Hong

“…The findings suggest that salt cavern sediment voids, as a promising storage space, provide a new approach to realize oil recovery and can overcome the limitations associated with cavern construction in high-impurity salt mines. The oil recovery from the sediment void is feasible, and China has rich rock salt and other convenient conditions to develop SVOS technology.…”
Get full text

Porous Blasting Morphology and Resistivity Response Characteristics of Soft Coal Seam by Wenwang Yang, Sanlin He, Taotao Zhao, Chenying Ge

“…The fractal dimension of cracks reaches 21.28%, the negative effect of the blast holes cavity is offset (S > 0), and the resistivity in the controlled area generally increases by 1 to 30 times. (3) Compared with the single-hole blasting model, the multi-hole blasting is more in line with the coal mine site, and can effectively increase the permeability in the control area, and the resistivity generally increases.…”
Get full text