bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal vehicle trajectory planning scheme considering passengers’ comfort for advanced driving assistance
Authors: Gao Wenjia , Liu Haiqing , Teng Kumin , Rai Laxmisha 
Published: June 2021

Abstract
Speed guidance is a significant application in the driver assistance system or driverless automated system. Considering passengers’ comfort under different road conditions, this paper proposes an optimal vehicle speed trajectory planning strategy using the nonlinear programming solution method. In this method, the Pearl curve is taken as the basic model to describe the time-interval characteristics so that the speed and acceleration variation can be further obtained. Taking the weighted dimensionless average accelerated speed and vehicle travelling time as optimal objective, and the speed limit of intersection, speed limit of section, the position of the intersection, the maximum acceleration and deceleration rates, and the arrival time at the downstream intersection as constraints, a multi-variable and single-objective optimization model is built and calculated using Genetic Algorithm after discretization process of the original continuous acceleration variation curve. Results from case study shows that the proposed method presents substantial performance in planning a vehicle trajectory with optimal comfort on the basis that the vehicle arrives the downstream intersection as early as possible.
Construction of Open-pit Mine Environmental Monitoring System Based on Wireless Sensor Network
Authors: He Yuanrong , Nie Dewei , Wan Qianjin , Hang Lu 
Published: June 2021

Abstract
Green mining in mines should be combined with the emerging new technologies and methods to collect, store and display mine environmental data, so as to achieve the balance between mine economic benefits and environmental protection. In this paper, low power sensor nodes are deployed on a large scale in mines, which is based on LoRaWAN protocol wireless sensor network to build mine environment monitoring system of internet of things. Energy collection, energy management and storage of monitoring nodes are designed to realize self-sufficiency of power supply of monitoring nodes. The single chip microcomputer of the monitoring node reads the sensor data and sends it to the gateway and server, and then the client application program realizes data storage and display of mine monitoring node position, rainfall, PM2.5, temperature and humidity in two dimensions of time and space.
Research on Edge Computing Security Defense of Information Energy System
Authors: Jiang Jian , Li Jian , Chen Juan 
Published: June 2021

Abstract
Mobile Edge Computing (MEC) can effectively solve the problem of heavy backhaul link load and the long delay in traditional networks by further extending the telecom cellular network to other wireless access networks. However, because MEC nodes have abundant computing resources, communication resources, and storage resources, they carry the sensitive data storage, communication applications, and computing services of multiple enterprises. Once the attacker controls the edge nodes, they can use the edge nodes for further horizontal or Vertical attacks will seriously damage the confidentiality, availability, and integrity of applications, communications, and data, and will bring a wide range of new security threats to users and society. At the same time, MEC nodes are often deployed in unattended computer rooms, and there are multiple operators and responsible parties in the safety life cycle, which brings more challenges to physical safety protection and safe operation management. Based on the analysis of the security threats faced by mobile edge computing, the key problems, and challenges faced by mobile edge computing are summarized and expounded because of four different security subjects, namely, device security, application security, data security, and management security, and the existing security solutions are summarized.
Research on the summer meteorological support method of Yan Liang Airport for flight test
Authors: Zhang Ying , Ni Hongbo , Ni Ping , Yan Wenhui 
Published: June 2021

Abstract
Based on the demand of the aircraft flight test of wet braking distance, wiper function and high temperature subject flight test on the meteorological conditions. The surface meteorological observations of Yan Liang Airport were used to statistically analysis the characteristics of summer precipitation and high temperature weather. Based on the demand of the flight test management, organization and command department to implement the airborne meteorological radar detection performance flight test, formulate the risk prevention plan of thunderstorm and other strong convective weather to ensure the safety of flight test. The surface meteorological observations of Yan Liang Airport and Doppler weather radar detection data of Xi’an Jing Yang Station were used to statistically analysis the characteristics of summer thunderstorm weather at Yan Liang Airport and airspace. In recent years, it has provided strong technical support to ensure the quality, efficiency, progress and safety of the flight test.
Analysis on the Causes of a Weather Forecast Mistake in Yan Liang Airport
Authors: Zhang Ying , Qiao Danyang , Ni Hongbo , Cong Dongyang , Wang Zelin 
Published: June 2021

Abstract
Using the conventional weather maps and the T639 model numerical forecast products provided by Micaps system, we re-analyzed and diagnosed the precipitation weather process at Yan Liang Airport on May 26, 2018, and analyzed the reasons for the error in the 24-hour weather forecast on May 25. The analysis shows that the upper trough lines are distributed in the north and south, and the plateau low trough on the south side develops into a low vortex. With better water vapor conditions, the Changjiang-Huaihe shear line develops vigorously. When the colder air from the north-west meets the warm and humid airflow of the Changjiang-Huaihe shear line, the low vortex replenishes sufficient water vapor, and the floating dust brings abundant condensation nuclei to facilitate precipitation. During the whole process, the weather system moved slower than expected, but the weather process produced was more intense.
Influence of Test Condition on Rheological Property of Asphalt Combined Binder
Authors: Wang Shujie , Zhang Peng , Jiang Longsong , Lv Wei , Chen Lin , Wen Xiaobo 
Published: June 2021

Abstract
In order to study the influence of test condition on rheological property of asphalt combined binder, the paper uses five kinds of filler-bitumen ratio and different temperature condition.by the rheological test, it studies the asphalt combined binder on n the high-low temperature and fatigue performance. The result indicates that mineral powder can strength the high temperature performance, but it is bad for low temperature performance and fatigue performance; when test temperature is more higher, it’s high temperature performance and fatigue performance weaker, but it’s low temperature performance strength; co nsidering the high-low temperature and fatigue performance, it suggests the reasonable filler-bitumen ratio range is 0.8-1.0.
Application Analysis of Conductivity in Drinking Water Quality Analysis
Authors: Xianhong Yang , Shijun Liang , Jian Hu , Jie Xia 
Published: June 2021

Abstract
Water is the source of life, people take food as the sky, and food takes water first. With the discharge of industrial waste water, urban and rural domestic sewage and the increasing consumption of pesticides and fertilizers, many drinking water sources have been polluted, and the pollutant content in water has seriously exceeded the standard, which makes it difficult to guarantee the drinking water quality and hygiene of urban and rural residents who directly drink surface water and shallow groundwater. Classical wet chemical analysis method can only use different methods to determine parameters individually, and it has low sensitivity, many interferences and lengthy steps. According to the calculation method of conductivity in water quality analysis, this paper introduces the coincidence degree between measured conductivity and calculated conductivity, and the principle and practical application of taking the correlation between conductivity and total ion as quality control method.
Research on the versatility of Arctic marine nuclear power plant
Authors: Zhang Hao 
Published: June 2021

Abstract
Research on the versatility of nuclear power plants can increase the utilization rate of nuclear power plants and reduce the development cycle and cost. By comparing the power requirements of Russian nuclear power icebreakers, polar transport ships, and floating nuclear power plants, and combining the development status of Russian marine reactor devices and steam turbine generator sets, the analysis shows that marine nuclear power plants can be based on low (38tMW), The three-level benchmark reactor devices of medium (175tMW) and high (350tMW) and the two-level benchmark steam turbine power plants of low (6∼8 eMW) and medium (35-40 eMW) are designed for multi-scheme combination.
Test and research on red mud used in bauxite washing mud solidification
Authors: Bin Chen , Guoqiang Chen , Yibin Zhu , Wenlong Zhai 
Published: June 2021

Abstract
Bauxite washing mud is the high water content and strong fluidity material. After being dehydrated to water content of less than 40% with dehydrating agent, it is still in a flow-plastic state. In order to eliminate the potential safety hazards of washing mud pond, it can be solidified. In order to solidify Pingguo bauxite washing mud, Preparated of curing agent with red mud, cement, fly ash and desulfurization gypsum, then added into the washing mud at a weight ratio of 10% of the dry amount of the washing mud. This study shown that after adding curing agents, the water content of the washing mud is further reduced, the liquid limit and plastic limit are further increased, the particle size is increased, and the plastic state is changed to a hard state, which greatly reduces the safety hazards of the washing mud pond. Through the screening test of curing agent, this study found that the reasonable and effective curing agent formula is: 15% fly ash, 25% cement, 15% gypsum, 45% red mud, the liquid limit index of the cured material is reduced to -0.27, which is in a hard state, the clay washing mud was changed to clay loam, which is suitable for dry tailings storage.
Prediction of the growth of fungal communities in different environments: A GomPertz model approach
Authors: Yang Fan 
Published: June 2021

Abstract
The growth of fungal community is closely related to the environment. In order to study the effect of environmental change on fungi community, we first assume that global warming is the main trend of atmospheric change and assess the impact of this trend with Winters method and ARIMA model. Next, we improve the GomPertz model by considering temperature and humidity to formulate a fungus-environment model. Finally, we predict the evaluation trend of fungi communities and verify the above model in three different environments: ranging from arid to tropical rain forest. It can be concluded that in long-term, temperature has greater influence on the growth of fungi than humidity, which can somehow compensate for the lack of humidity. Therefore, fungi with better temperature tolerance will have relative advantage in the population.
Storage capacity and learning capability of quantum neural networks
Authors: Lewenstein Maciej , Gratsea Aikaterini , Riera-Campeny Andreu , Aloy Albert , Kasper Valentin , Sanpera Anna 
Published: June 2021

Abstract
We study the storage capacity of quantum neural networks (QNNs), described by completely positive trace preserving (CPTP) maps acting on an N-dimensional Hilbert space. We demonstrate that attractor QNNs can store in a non-trivial manner up to N linearly independent pure states. For n qubits, QNNs can reach an exponential storage capacity,

O

(

2

n

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, clearly outperforming standard classical neural networks whose storage capacity scales linearly with the number of neurons n. We estimate, employing the Gardner program, the relative volume of CPTP maps with M ⩽ N stationary states and show that this volume decreases exponentially with M and shrinks to zero for M ⩾ N + 1. We generalize our results to QNNs storing mixed states as well as input–output relations for feed-forward QNNs. Our approach opens the path to relate storage properties of QNNs to the quantum features of the input–output states. This paper is dedicated to the memory of Peter Wittek.
Repetitive transcranial magnetic stimulation for neuropathic pain: a randomized multicentre sham-controlled trial
Authors: Attal Nadine , Poindessous-Jazat Frédérique , De Chauvigny Edwige , Quesada Charles , Mhalla Alaa , Ayache Samar S , Fermanian Christophe , Nizard Julien , Peyron Roland , Lefaucheur Jean-Pascal , Bouhassira Didier 
Published: June 2021

Abstract
Repetitive transcranial magnetic stimulation (rTMS) has been proposed to treat neuropathic pain but the quality of evidence remains low. We aimed to assess the efficacy and safety of neuronavigated rTMS to the primary motor cortex (M1) or dorsolateral prefrontal cortex (DLPFC) in neuropathic pain over 25 weeks.
We carried out a randomized double-blind, placebo-controlled trial at four outpatient clinics in France. Patients aged 18–75 years with peripheral neuropathic pain were randomly assigned at a 1:1 ratio to M1 or DLPFC-rTMS and rerandomized at a 2:1 ratio to active or sham-rTMS (10 Hz, 3000 pulses/session, 15 sessions over 22 weeks). Patients and investigators were blind to treatment allocation. The primary end point was the comparison between active M1-rTMS, active DLPCF-rTMS and sham-rTMS for the change over the course of 25 weeks (Group × Time interaction) in average pain intensity (from 0 no pain to 10 maximal pain) on the Brief Pain Inventory, using a mixed model repeated measures analysis in patients who received at least one rTMS session (modified intention-to-treat population). Secondary outcomes included other measures of pain intensity and relief, sensory and affective dimensions of pain, quality of pain, self-reported pain intensity and fatigue (patients diary), Patient and Clinician Global Impression of Change (PGIC, CGIC), quality of life, sleep, mood and catastrophizing. This study is registered with ClinicalTrials.gov NCT02010281.
A total of 152 patients were randomized and 149 received treatment (49 for M1; 52 for DLPFC; 48 for sham). M1-rTMS reduced pain intensity versus sham-rTMS (estimate for Group × Session interaction: −0.048 ± 0.02; 95% CI: −0.09 to −0.01; P = 0.01). DLPFC-rTMS was not better than sham (estimate: −0.003 ± 0.01; 95% CI: −0.04 to 0.03, P = 0.9). M1-rRMS, but not DLPFC-rTMS, was also superior to sham-rTMS on pain relief, sensory dimension of pain, self-reported pain intensity and fatigue, PGIC and CGIC. There were no effects on quality of pain, mood, sleep and quality of life as all groups improved similarly over time. Headache was the most common side effect and occurred in 17 (34.7%), 23 (44.2%) and 13 (27.1%) patients from M1, DLPFC and sham groups, respectively (P = 0.2).
Our results support the clinical relevance of M1-rTMS, but not of DLPFC-rTMS, for peripheral neuropathic pain with an excellent safety profile.
Consensus on the application of negative pressure wound therapy of diabetic foot wounds
Authors: Ji Shizhao , Liu Xiaobin , Huang Jie , Bao Junmin , Chen Zhaohong , Han Chunmao , Hao Daifeng , Hong Jingsong , Hu Dahai , Jiang Yufeng , Ju Shang , Li Hongye , Li Zongyu , Liang Guangping , Liu Yan , Luo Gaoxing , Lv Guozhong , Ran Xingwu , Shi Zhongmin , Tang Juyu , Wang Aiping , Wang Guangyi , Wang Jiangning , Wang Xin , Wen Bing , Wu Jun , Xu Hailin , Xu Maojin , Ye Xiaofei , Yuan Liangxi , Zhang Yi , Xiao Shichu , Xia Zhaofan 
Published: June 2021

AbstractBecause China is becoming an aging society, the incidence of diabetes and diabetic foot have been increasing. Diabetic foot has become one of the main health-related killers due to its high disability and mortality rates. Negative pressure wound therapy (NPWT) is one of the most effective techniques for the treatment of diabetic foot wounds and great progress, both in terms of research and its clinical application, has been made in the last 20 years of its development. However, due to the complex pathogenesis and management of diabetic foot, irregular application of NPWT often leads to complications, such as infection, bleeding and necrosis, that seriously affect its treatment outcomes. In 2020, under the leadership of Burns, Trauma and Tissue Repair Committee of the Cross-Straits Medicine Exchange Association, the writing group for ‘Consensus on the application of negative pressure wound therapy of diabetic foot wounds’ was established with the participation of scholars from the specialized areas of burns, endocrinology, vascular surgery, orthopedics and wound repair. Drawing on evidence-based practice suggested by the latest clinical research, this consensus proposes the best clinical practice guidelines for the application and prognostic evaluation of NPWT for diabetic foot. The consensus aims to support the formation of standardized treatment schemes that clinicians can refer to when treating cases of diabetic foot.
Driftage: a multi-agent system framework for concept drift detection
Authors: Vieira Diogo Munaro , Fernandes Chrystinne , Lucena Carlos , Lifschitz Sérgio 
Published: June 2021

Abstract

Background
The amount of data and behavior changes in society happens at a swift pace in this interconnected world. Consequently, machine learning algorithms lose accuracy because they do not know these new patterns. This change in the data pattern is known as concept drift. There exist many approaches for dealing with these drifts. Usually, these methods are costly to implement because they require (i) knowledge of drift detection algorithms, (ii) software engineering strategies, and (iii) continuous maintenance concerning new drifts.

Results
This article proposes to create Driftage: a new framework using multi-agent systems to simplify the implementation of concept drift detectors considerably and divide concept drift detection responsibilities between agents, enhancing explainability of each part of drift detection. As a case study, we illustrate our strategy using a muscle activity monitor of electromyography. We show a reduction in the number of false-positive drifts detected, improving detection interpretability, and enabling concept drift detectors’ interactivity with other knowledge bases.

Conclusion
We conclude that using Driftage, arises a new paradigm to implement concept drift algorithms with multi-agent architecture that contributes to split drift detection responsability, algorithms interpretability and more dynamic algorithms adaptation.
A glutamine ‘tug-of-war’: targets to manipulate glutamine metabolism for cancer immunotherapy
Authors: Pallett Laura J , Dimeloe Sarah , Sinclair Linda V , Byrne Adam J , Schurich Anna 
Published: June 2021

Summary
Within the tumour microenvironment (TME), there is a cellular ‘tug-of-war’ for glutamine, the most abundant amino acid in the body. This competition is most evident when considering the balance between a successful anti-tumour immune response and the uncontrolled growth of tumour cells that are addicted to glutamine. The differential effects of manipulating glutamine abundance in individual cell types is an area of intense research and debate. Here, we discuss some of the current strategies in development altering local glutamine availability focusing on inhibition of enzymes involved in the utilisation of glutamine and its uptake by cells in the TME. Further studies are urgently needed to complete our understanding of glutamine metabolism, to provide critical insights into the pathways that represent promising targets and for the development of novel therapeutic strategies for the treatment of advanced or drug resistant cancers.
Human Immunodeficiency Virus (HIV) Genetic Diversity Informs Stage of HIV-1 Infection Among Patients Receiving Antiretroviral Therapy in Botswana
Authors: Ragonnet-Cronin Manon , Golubchik Tanya , Moyo Sikhulile , Fraser Christophe , Essex Max , Novitsky Vlad , Volz Erik 
Published: June 2021

Abstract

Background
Human immunodeficiency virus (HIV)-1 genetic diversity increases during infection and can help infer the time elapsed since infection. However, the effect of antiretroviral treatment (ART) on the inference remains unknown.

Methods
Participants with estimated duration of HIV-1 infection based on repeated testing were sourced from cohorts in Botswana (n = 1944). Full-length HIV genome sequencing was performed from proviral deoxyribonucleic acid. We optimized a machine learning model to classify infections as &lt; or &gt;1 year based on viral genetic diversity, demographic, and clinical data.

Results
The best predictive model included variables for genetic diversity of HIV-1 gag, pol, and env, viral load, age, sex, and ART status. Most participants were on ART. Balanced accuracy was 90.6% (95% confidence interval, 86.7%–94.1%). We tested the algorithm among newly diagnosed participants with or without documented negative HIV tests. Among those without records, those who self-reported a negative HIV test within &lt;1 year were more frequently classified as recent than those who reported a test &gt;1 year previously. There was no difference in classification between those self-reporting a negative HIV test &lt;1 year, whether or not they had a record.

Conclusions
These results indicate that recency of HIV-1 infection can be inferred from viral sequence diversity even among patients on suppressive ART.
HIV-1 non-group M phenotypic susceptibility in vitro to bictegravir and cabotegravir
Authors: Martin Charlène , Gracias Ségolène , Charpentier Charlotte , Descamps Diane , Le Hingrat Quentin , Plantier Jean-Christophe , Alessandri-Gradt Elodie 
Published: June 2021

Abstract

Objectives
HIV-1 group O (HIV-1/O) is one of the four HIV-1 groups and is endemic in Cameroon, representing 1% of HIV-1 infections in the population. Around 50% of the strains of this group naturally show a mutation (Y181C) providing them with resistance to NNRTIs and making therapeutic management more difficult. Today, the WHO recommends the use of integrase strand transfer inhibitors (INSTIs) as first-line treatment. Bictegravir and cabotegravir are the two most recent INSTIs. Because of the genetic polymorphism of HIV-1/O, studies are required to evaluate their phenotypic susceptibility to these two drugs.

Patients and methods
We performed a phenotypic study on a large panel including 41 HIV-1/O clinical isolates and other rare non-group M HIV-1 (2 HIV-1/N and 1 HIV-1/P) to evaluate in vitro susceptibility to bictegravir and cabotegravir.

Results
The results showed an overall susceptibility of non-group M strains to the two drugs compared with HIV-1 group M. There was no difference between the mean (min–max) IC50 of HIV-1/M [1.86 (0.93–4.12) and 5.24 (1.76–12.41) nM for bictegravir and cabotegravir, respectively] and HIV-1/non-M [2.17 (0.03–9.47) and 4.88 (0.02–15.64) nM for bictegravir and cabotegravir, respectively]. However, we found a significant difference between IC50 values for bictegravir and cabotegravir in the whole panel (P value &lt; 0.001).

Conclusions
This study has shown encouraging results regarding the clinical use of these drugs in HIV-1/non-M-infected patients, which will need to be confirmed with clinical data.