Tracing Mechanism of Sports Competition Pressure Based on Backpropagation Neural Network by Huayu Zhao, Shaonan Liu

“…The competition pressure of athletes who participated in the college table tennis championship for the first time was significantly higher than that of athletes who participated repeatedly. …”
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Autoimmunity related to anti-Nax and anti-ZSCAN1 autoantibodies in adipsic hypernatremia by Akari Nakamura-Utsunomiya

“…On the other hand, cases without structural lesions have been reported since the 1970s, but the pathophysiology was unknown for a long time. In 2010, Hiyama et al. reported that an anti-Nax antibody response caused adipsic hypernatremia in a pediatric case with ganglioblastoma. …”
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Estimating Emissions from Static Traffic Models: Problems and Solutions by Nikolaos Tsanakas, Joakim Ekström, Johan Olstam

“…However, such models, being used in a strategic context, imply some important simplifications regarding the variation of traffic conditions, and their outputs are heavily aggregated in time. In addition, dynamic traffic flow phenomena, such as queue spillback, cannot be captured, leading to inaccurate modelling of congestion. …”
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Calibration of miniature air quality detector monitoring data with PCA–RVM–NAR combination model by Bing Liu, Yirui Zhang

“…Abstract The development of miniature air quality detectors makes it possible for humans to monitor air quality in real time and grid. However, the accuracy of measuring pollutants by miniature air quality detectors needs to be improved. …”
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Essential fatty acids as major lipid fraction in Nostoc muscorum by optimization of mixotrophic culture by María Guadalupe Mata-Pérez, Diana Linda Cárdenas-Chávez, Roberto Rico Martínez, Juan Jáuregui-Rincón

“…The individual and interactive effects of three culture conditions (glycerol concentration, acetate concentration and culture time) on biomass and lipid production by N. muscorum were investigated through a three factor, three-level Box-Behnken experimental design of response surface methodology for process optimization. …”
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Study of Keyword Extraction Techniques for Electric Double-Layer Capacitor Domain Using Text Similarity Indexes: An Experimental Analysis by M. Saef Ullah Miah, Junaida Sulaiman, Talha Bin Sarwar, Kamal Z. Zamli, Rajan Jose

“…However, this practice is quite expensive in terms of resources and time management. Hence, it is more satisfying to utilize automated keyword extraction techniques. …”
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Risk Assessment for Complex Systems Based on Fuzzy Cognitive Maps: A Case of the Biopharmaceutical Industry by Hadi Abbasian, Reza Yousefi-Zenouz, Abdollah Amirkhani, Masoud Shirzadeh, Akbar Abdollahiasl, Shekoufeh Nikfar, Mohammadreza Siahi-Shadabad, Abbas Kebriaeezadeh

“…The most critical and relevant risks and significant elements of the SCs, such as cost, time, and quality, were identified as relevant FCM concepts. …”
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Drug-target binding affinity prediction based on power graph and word2vec by Jing Hu, Shuo Hu, Minghao Xia, Kangxing Zheng, Xiaolong Zhang

“…Accurate prediction of drug target affinity can effectively reduce the time and cost of drug retargeting and new drug development. …”
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Study on Finger Gesture Interface Using One-Channel EMG by Hee-Yeong Yang, Young-Shin Han, Choon-Sung Nam

“…Electromyography (EMG) is used to recognize user finger gestures for applications in real-time interfaces. Finger movements are classified by preprocessing to extract the features from the collected EMG data, which are then used for machine learning. …”
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Information and psychological vulnerability of employees of internal affairs bodies with different levels of stability and fatigue by K.V. Zlokazov

“…Among the surveyed 97 cadets of the fifth year of full-time education and 89 students of the initial training of the St. …”
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Comparison of sensory recovery between random pattern flap and axial pattern flap in finger defect reconstruction by Tien Duc Nguyen

“…Conclusions: Sensory recovery after reconstruction was observed with all flap types, and better sensory recovery can be achieved in a shorter time postsurgery using random-pattern flaps.…”
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Rapid Identification of Drug-Resistant Tuberculosis Genes Using Direct PCR Amplification and Oxford Nanopore Technology Sequencing by Kaishun Zhao, Chunlin Tu, Wei Chen, Haiying Liang, Wenjing Zhang, Yilei Wang, Ye Jin, Jianrong Hu, Yameng Sun, Jun Xu, Yanfang Yu

“…The pipeline was validated by Sanger sequencing and exhibited 100% concordance with the identified variants. Turnaround time for the nanopore sequencing workflow was approximately 12 h, facilitating drug resistance prediction several weeks earlier than that of traditional phenotype drug susceptibility testing. …”
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Neural Network-Based Analysis of Flame States in Pulverised Coal and Biomass Co-Combustion by Żaklin Grądz, Waldemar Wójcik, Baglan Imanbek, Bakhyt Yeraliyeva

“…In the European Union, coal consumption in the power industry has been declining over time. Energy sources such as renewable energy, nuclear energy, and natural gas are being used on an increasing scale. …”
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Applicazione della meccanica della frattura viscoelastica alla previsione della vita di tubi in polibutene by Luca Andena, Marta Rink, Roberto Frassine

“…Results of the tests have been interpreted using the fracture mechanics framework; a time-temperature superposition scheme has been adopted to represent viscoelastic behavior over several decades. …”
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Mechanisms of How Random Input Controls Bursting Gene Expression by Sijia Xiao, Yan Wang, Zhigang Wang, Haohua Wang

“…We can see that in different contexts, extracellular noise has different effects on downstream gene expression, effects which include the following: (1) extracellular noise will make the ON-OFF-state dwell time drift, which will influence the burst frequency and burst size of downstream gene expression under different modulation paradigms; (2) comparing the burst parameter or gene expression products under different modulation paradigms, we can see that the amplitude signal is more sensitive in the case of extracellular noise input, whereas the signal in noiseless conditions is more sensitive when the random input is a fast process, which indicates that the amplitude signal is a superior and common signal in gene expression; and (3) extracellular random input will change the bimodality for gene expression, but its influence is different for gene expression products under different modulation paradigms. …”
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An Energy-Aware Routing Protocol for Query-Based Applications in Wireless Sensor Networks by Ehsan Ahvar, Shohreh Ahvar, Gyu Myoung Lee, Noel Crespi

“…In this paper, we propose an energy-aware routing protocol (ERP) for query-based applications in WSNs, which offers a good trade-off between traditional energy balancing and energy saving objectives and supports a soft real time packet delivery. This is achieved by means of fuzzy sets and learning automata techniques along with zonal broadcasting to decrease total energy consumption.…”
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Electrical Impedance Spectroscopy for Quality Assessment of Meat and Fish: A Review on Basic Principles, Measurement Methods, and Recent Advances by Xin Zhao, Hong Zhuang, Seung-Chul Yoon, Yonggui Dong, Wei Wang, Wei Zhao

“…EIS has advantages of being fast, nondestructive, inexpensive, and easily implemented and shows potential to develop on-line detecting instrument to replace traditional methods to realize time, cost, skilled persons saving and further quality grading. …”
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Efficacy of Herbicides When Spray Solution Application Is Delayed by Peter M. Eure, David L. Jordan, Loren R. Fisher, Alan C. York

“…In separate experiments, control of broadleaf signalgrass by clethodim, common ragweed by glyphosate and lactofen, entireleaf morningglory by lactofen, Italian rye grass by glyphosate and paraquat, and Palmer amaranth by atrazine, dicamba, glufosinate, glyphosate, imazethapyr, lactofen, and 2,4-D was affected more by increase in weed size due to delayed application than the time between solution preparation and application.…”
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Mathematical model of the atrioventricular nodal double response tachycardia and double-fire pathology by Beata Jackowska-Zduniak, Urszula Foryś

“…The difference in the conduction time between these pathways is the most important factor. …”
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Lithium-Ion Battery Degradation Based on the CNN-Transformer Model by Yongsheng Shi, Leicheng Wang, Na Liao, Zequan Xu

“…Due to its innovative structure and superior handling of long time series data with parallel input, the Transformer model has demonstrated a remarkable effectiveness. …”
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