bluuebunny/crossref_metadata_2025_split huggingface dataset:
The long-term effects of meteorological parameters on pertussis infections in Chongqing, China, 2004–2018
Authors: Wang Yongbin , Xu Chunjie , Ren Jingchao , Zhao Yingzheng , Li Yuchun , Wang Lei , Yao Sanqiao 
Published: October 2020

AbstractEvidence on the long-term influence of climatic variables on pertussis is limited. This study aims to explore the long-term quantitative relationship between weather variability and pertussis. Data on the monthly number of pertussis cases and weather parameters in Chongqing in the period of 2004–2018 were collected. Then, we used a negative binomial multivariable regression model and cointegration testing to examine the association of variations in monthly meteorological parameters and pertussis. Descriptive statistics exhibited that the pertussis incidence rose from 0.251 per 100,000 people in 2004 to 3.661 per 100,000 persons in 2018, and pertussis was a seasonal illness, peaked in spring and summer. The results from the regression model that allowed for the long-term trends, seasonality, autoregression, and delayed effects after correcting for overdispersion showed that a 1 hPa increment in the delayed one-month air pressure contributed to a 3.559% (95% CI 0.746–6.293%) reduction in the monthly number of pertussis cases; a 10 mm increment in the monthly aggregate precipitation, a 1 °C increment in the monthly average temperature, and a 1 m/s increment in the monthly average wind velocity resulted in 3.641% (95% CI 0.960–6.330%), 19.496% (95% CI 2.368–39.490%), and 3.812 (95% CI 1.243–11.690)-fold increases in the monthly number of pertussis cases, respectively. The roles of the mentioned weather parameters in the transmission of pertussis were also evidenced by a sensitivity analysis. The cointegration testing suggested a significant value among variables. Climatic factors, particularly monthly temperature, precipitation, air pressure, and wind velocity, play a role in the transmission of pertussis. This finding will be of great help in understanding the epidemic trends of pertussis in the future, and weather variability should be taken into account in the prevention and control of pertussis.
The protective role of proton-sensing TDAG8 in the brain injury in a mouse ischemia reperfusion model
Authors: Sato Koichi , Tobo Ayaka , Mogi Chihiro , Tobo Masayuki , Yamane Nobuhiro , Tosaka Masahiko , Tomura Hideaki , Im Dong-Soon , Okajima Fumikazu 
Published: October 2020

AbstractExtracellular acidification in the brain has been observed in ischemia; however, the physiological and pathophysiological implications of the pH reduction remain largely unknown. Here, we analyzed the roles of proton-sensing G protein-coupled receptors, including T-cell death-associated gene 8 (TDAG8), ovarian cancer G protein-coupled receptor 1 (OGR1), and G protein-coupled receptor 4 (GPR4) in a mouse ischemia reperfusion model. Cerebral infarction and dysfunctional behavior with transient middle cerebral artery occlusion (tMCAO) and subsequent reperfusion were exacerbated by the deficiency of TDAG8, whereas no significant effect was observed with the deficiency of OGR1 or GPR4. We confirmed that the pH of the predicted infarction region was 6.5. TDAG8 mRNA was observed in Iba1-positive microglia in the mouse brain. The tMCAO increased the mRNA expression of tumor necrosis factor-α in the ipsilateral cerebral hemisphere and evoked morphological changes in microglia in an evolving cerebral injury. These tMCAO-induced actions were significantly enhanced by the TDAG8 deficiency. Administration of minocycline, which is known to inhibit microglial activation, improved the cerebral infarction and dysfunctional behavior induced by tMCAO in the TDAG8-deficient mouse. Thus, acidic pH/TDAG8 protects against cerebral infarction caused by tMCAO, at least due to the mechanism involving the inhibition of microglial functions.
Modelling COVID 19 in the Basque Country from introduction to control measure response
Authors: Aguiar Maíra , Ortuondo Eduardo Millán , Bidaurrazaga Van-Dierdonck Joseba , Mar Javier , Stollenwerk Nico 
Published: October 2020

AbstractIn March 2020, a multidisciplinary task force (so-called Basque Modelling Task Force, BMTF) was created to assist the Basque health managers and Government during the COVID-19 responses. BMTF is a modelling team, working on different approaches, including stochastic processes, statistical methods and artificial intelligence. Here we describe the efforts and challenges to develop a flexible modeling framework able to describe the dynamics observed for the tested positive cases, including the modelling development steps. The results obtained by a new stochastic SHARUCD model framework are presented. Our models differentiate mild and asymptomatic from severe infections prone to be hospitalized and were able to predict the course of the epidemic, providing important projections on the national health system’s necessities during the increased population demand on hospital admissions. Short and longer-term predictions were tested with good results adjusted to the available epidemiological data. We have shown that the partial lockdown measures were effective and enough to slow down disease transmission in the Basque Country. The growth rate$$ \lambda $$λwas calculated from the model and from the data and the implications for the reproduction ratiorare shown. The analysis of the growth rates from the data led to improved model versions describing after the exponential phase also the new information obtained during the phase of response to the control measures. This framework is now being used to monitor disease transmission while the country lockdown was gradually lifted, with insights to specific programs for a general policy of “social distancing” and home quarantining.
High abundance of the colistin resistance gene mcr-1 in chicken gut-bacteria in Bangladesh
Authors: Islam Salequl , Urmi Umme Laila , Rana Masud , Sultana Fahmida , Jahan Nusrat , Hossain Billal , Iqbal Samiul , Hossain Md. Moyazzem , Mosaddek Abu Syed Md. , Nahar Shamsun 
Published: October 2020

AbstractColistin is considered a last-resort reserved drug for the treatment of critical human infections by Gram-negative bacteria. Phenotypic colistin-resistance is strongly associated with plasmid-mediated mobile colistin resistance (mcr) genes. The mcr-bearing Enterobacteriaceae have been detected in many countries from environments, animals, and humans. This study investigated phenotypic colistin-resistance and the distribution of mcr-1, mcr-2, mcr-3, mcr-4, and mcr-5 genes in chicken-gut bacteria in Bangladesh. Bacteria were isolated from poultry- and native-chicken droppings, and their susceptibilities to colistin were determined by agar dilution and E-test minimal inhibitory concentration (MIC) measurements. Multiplex polymerase chain reactions detected mcr-1 to mcr-5 genes. Overall, 61.7% (92/149) of the isolates showed colistin resistance by agar dilution assessment (MIC > 2.0 μg/mL). The phenotypic resistance was observed considerably higher in poultry-chicken isolates (64.6%, 64/99) than in native-chicken isolates (56%, 28/50; p = 0.373). All the resistant isolates showed MIC levels between > 2 and > 128 μg/mL. The mcr-genes (mcr-1and mcr-2 combined) were detected more in poultry gut bacteria (36.4%) than native-chicken isolates (20%, p = 0.06). Despite bacteria sources, mcr-genes appeared to be significantly associated with phenotypic colistin-resistance phenomena (p < 0.001). Prior colistin usage led to a substantial increase in the proportion of bacteria with mcr-genes and phenotypic resistance (p < 0.001).
Visceral adiposity index is associated with silent brain infarct in a healthy population
Authors: Nam Ki-Woong , Kwon Hyung-Min , Jeong Han-Yeong , Park Jin-Ho , Kwon Hyuktae , Jeong Su-Min , Kim Hyun-Jin 
Published: October 2020

AbstractVisceral adiposity index (VAI) has been associated with various cardio-metabolic diseases; however, there is limited information about its association with cerebrovascular diseases. In this study, we evaluated the relationship between VAI and silent brain infarct (SBI). We evaluated a consecutive series of healthy volunteers over the age of 40 between January 2006 and December 2013. SBI was defined as an asymptomatic, well-defined lesion with a diameter ≥ 3 mm with the same signal characteristics as the cerebrospinal fluid. VAI was calculated using sex-specific equations as described in previous studies. A total of 2596 subjects were evaluated, and SBI was found in 218 (8%) participants. In multivariable analysis, VAI (adjusted odds ratio [aOR] = 1.30; 95% confidence interval [CI] 1.03–1.66; P = 0.030) remained a significant predictor of SBI after adjustment for confounders. The close relationship between VAI and SBI was prominent only in females (aOR = 1.44; 95% CI 1.00–2.07; P = 0.048). In the evaluation between VAI and the burden of SBI, VAI showed a positive dose–response relationship with the number of SBI lesions (P for trend = 0.037). High VAI was associated with a higher prevalence and burden of SBI in a neurologically healthy population.
Decision-making and dynamics of eye movements in volleyball experts
Authors: Fortin-Guichard Daniel , Laflamme Vincent , Julien Anne-Sophie , Trottier Christiane , Grondin Simon 
Published: October 2020

AbstractKey decision-makers among experts in a given field can sometimes be identified based on their role and responsibilities. The aim of the study is to compare perceptual-cognitive skills of experts with decisional responsibilities (setters in volleyball) with that of other volleyball experts. Eighty-two participants (26 setters, 36 other players and 20 controls) viewed 50 volleyball video sequences. Sequences stopped 120 ms before ball contact and participants, whose eye movements were recorded, had to predict the ball direction. Generalized Estimating Equations analysis revealed that setters and controls made more but shorter fixations than other players. However, both expert groups made better predictions than controls. Dynamics analyses of eye movements over time show that, right before ball contact, opposing players’ upper body is a most relevant attentional cue in all game situations. Results are discussed in terms of decision-making responsibilities to identify key decision-makers in volleyball and in general. They point towards specific perceptual-cognitive abilities found in setters and support the idea that they constitute a subgroup of experts, but that they are not “better” than other players in anticipating the game.
Antimicrobial effects of airborne acoustic ultrasound and plasma activated water from cold and thermal plasma systems on biofilms
Authors: Charoux Clémentine M. G. , Patange Apurva D. , Hinds Laura M. , Simpson Jeremy C. , O’Donnell Colm P. , Tiwari Brijesh K. 
Published: October 2020

AbstractBacterial biofilms are difficult to inactivate due to their high antimicrobial resistance. Therefore, new approaches are required for more effective bacterial biofilm inactivation. Airborne acoustic ultrasound improves bactericidal or bacteriostatic activity which is safe and environmentally friendly. While, plasma activated water (PAW) is attracting increasing attention due to its strong antimicrobial properties. This study determined efficacy of combined airborne acoustic ultrasound and plasma activated water from both cold and thermal plasma systems in inactivating Escherichia coli K12 biofilms. The application of airborne acoustic ultrasound (15 min) alone was significantly more effective in reducing E. coli counts in 48 and 72 h biofilms compared to 30 min treatment with PAW. The effect of airborne acoustic ultrasound was more pronounced when used in combination with PAW. Airborne acoustic ultrasound treatment for 15 min of the E. coli biofilm followed by treatment with PAW significantly reduced the bacterial count by 2.2—2.62 Log10 CFU/mL when compared to control biofilm treated with distilled water. This study demonstrates that the synergistic effects of airborne acoustic ultrasound and PAW for enhanced antimicrobial effects. These technologies have the potential to prevent and control biofilm formation in food and bio-medical applications.
Neuregulins: protective and reparative growth factors in multiple forms of cardiovascular disease
Authors: Geissler Andrew , Ryzhov Sergey , Sawyer Douglas B. 
Published: October 2020

Abstract
Neuregulins (NRGs) are protein ligands that act through ErbB receptor tyrosine kinases to regulate tissue morphogenesis, plasticity, and adaptive responses to physiologic needs in multiple tissues, including the heart and circulatory system. The role of NRG/ErbB signaling in cardiovascular biology, and how it responds to physiologic and pathologic stresses is a rapidly evolving field. While initial concepts focused on the role that NRG may play in regulating cardiac myocyte responses, including cell survival, growth, adaptation to stress, and proliferation, emerging data support a broader role for NRGs in the regulation of metabolism, inflammation, and fibrosis in response to injury. The constellation of effects modulated by NRGs may account for the findings that two distinct forms of recombinant NRG-1 have beneficial effects on cardiac function in humans with systolic heart failure. NRG-4 has recently emerged as an adipokine with similar potential to regulate cardiovascular responses to inflammation and injury. Beyond systolic heart failure, NRGs appear to have beneficial effects in diastolic heart failure, prevention of atherosclerosis, preventing adverse effects on diabetes on the heart and vasculature, including atherosclerosis, as well as the cardiac dysfunction associated with sepsis. Collectively, this literature supports the further examination of how this developmentally critical signaling system functions and how it might be leveraged to treat cardiovascular disease.
Diagnostik und invasive Maßnahmen beim Thoraxtrauma
Authors: Obermaier Manuel , Katzenschlager Stephan , Schneider Niko R.E. 
Published: October 2020

ZusammenfassungDas Thoraxtrauma ist ein komplexes Verletzungsmuster, dessen Diagnostik und Therapie einem Notfallteam alles abverlangen. Der Begriff beschreibt Verletzungen des Brustkorbs in allen Facetten – von der Prellmarke eines Sicherheitsgurtes bis zum tödlichen Überrolltrauma mit Quetschung oder Zerreißung der Thoraxorgane. Bei der Therapie können sonografische Diagnostik und invasive Notfalltechniken erforderlich werden, die dieser Beitrag darstellt.
Multiinfarktsyndrom nach Luftembolie bei Entfernung eines Zentralvenenkatheters
Authors: Wildfeuer Svenja , Standl Thomas 
Published: October 2020

ZusammenfassungDie Entfernung eines zentralvenösen Katheters auf einer Normalstation führt bei einem 53-jährigen Patienten mit einem bis dato nicht bekannten Ventrikelseptumdefekt zu einer paradoxen Luftembolie. Der Patient wird reanimationspflichtig und erleidet ein Multiinfarktsyndrom mit verheerenden neurologischen Ausfällen. Dieser Beitrag zeigt die Pathogenese und die erforderlichen Maßnahmen zur Vermeidung der paradoxen Luftembolie auf.
Multi-quasiparticle excitations and the impact of the high-j intruder orbital in the N = 51 93Mo nucleus *
Authors: Wang Hao , Ma Ke-Yan , Wu Yi-Heng , Lv Yi-Feng , Pan Hao-Nan , Lu Jing-Bin 
Published: October 2020

Abstract
The level structures of

Mo are investigated using Large Scale Shell Model calculations, and reasonable agreement is obtained between the experimental and calculated values. The calculated results show that the lower-lying states are mainly dominated by proton excitations from the

,

, and

orbitals into the higher orbitals across the Z = 38 or Z = 40 subshell closure. For the higher-spin states, multi-particle excitations, including the excitation of

neutrons across the N = 56 subshell closure into the high-j intruder

orbital, are essential. Moreover, the previously unknown spin-parity assignments of the six higher excited states in

Mo are inferred from the shell model calculations.
Towards gauge unified, supersymmetric hidden strong dynamics *
Authors: Chiang Cheng-Wei , Sun Sichun , Ye Fang 
Published: October 2020

Abstract
We consider a class of models with extra complex scalars that are charged under both the Standard Model and a hidden strongly coupled

gauge sector and discuss the scenarios in which the new scalars are identified as the messenger fields that mediate the spontaneously broken supersymmetries from the hidden sector to the visible sector. The new scalars are embedded into 5-plets and 10-plets of an

gauge group that potentially unifies the Standard Model gauge groups. The Higgs bosons remain as elementary particles. In the supersymmetrized version of this class of models, vector-like fermions whose left-handed components are superpartners of the new scalars are introduced. Owing to the hidden strong force, the new low-energy scalars hadronize before decaying and thus evade the common direct searches of the supersymmetric squarks. This can be seen as a gauge mediation scenario with the scalar messenger fields forming low-energy bound states. We also discuss the possibility that in the tower of bound states formed under hidden strong dynamics (of at least the TeV scale), there exist a dark matter candidate and the collider signatures (e.g. diphoton, diboson, or dijet) of models that may show up in the near future.
Point Cloud Registration Algorithm Based on Overlapping Region Extraction
Authors: Li Jun , Qian Fei , Chen Xianfu 
Published: October 2020

Abstract
During the process of the point cloud registration, the problem that the accuracy is not high is due to the unknown relative position of the multi-view point clouds and the diversity of the target structure. This paper proposes a point cloud registration method based on extracting overlapping regions to solve it. First of all, according to the characteristics of the target geometric structure, each point cloud is divided into blocks and the ESF multi-dimensional shape descriptors of each point cloud block are constructed, the region with the greatest similarity between the descriptors, namely the overlapping region between the point clouds. Then our algorithm uses the Super Four Point Fast Robust Matching (Super4PCS) algorithm to execute a coarse registration of point clouds in overlapping regions, the initial positions of the point clouds after the coarse registration are obtained according to the consistency constraints, and finally uses the iterative closest point algorithm (ICP) to precisely register the overlapping region and obtain the final point cloud model. Compared with traditional Super4PCS algorithm, the experimental results show that the method proposed in this paper effectively improves the accuracy and accelerates the process of point cloud registration.
The implementation of micro-service technology in the development of geohazard online analysis and evaluation
Authors: Tong Bin , Li Yuan , Yang Xudong , Fang Hao , Yin Chunrong , Qu Xueyan , Han Bing , Zhang Yanling 
Published: October 2020

Abstract
Improving the capability of geohazard data online analysis and evaluation for geohazard prevention and mitigation is the major developing trend of geohazard information service and relevant research. Making use of the information technologies to solve the technical challenges and difficulties encountered in geohazard big data processing and analysis is important to effectively improve the capacity of geohazard information service. By using the micro-service, one of the advanced information technology, this study proposed an technical solution for the construction of geohazard data online analysis and processing service, which was designed and constructed based on the working mechanism and procedure of the analysis. As an example, the geohazard online susceptibility analysis service was designed and developed. In the proposed technical solution, the online susceptibility analysis service was splitted into multiple operational-independent and also interconnected micro-services for the completion of the analytical process. The developments of each individual micro-service provide support for further revision, upgrade and expansion of the data analysis ultimization or model optimization. The propose of the technical solution further deepens the integration of geohazard research and information technology to improve the level and practical efficiency of geohazard information service leading by the advancement of information technology.
EL net: Ensemble Learning in end-to-end learning
Authors: Peng Yizhen 
Published: October 2020

Abstract
Kednell. et al. [1] propose a robust and real-time monocular six degree of freedom (6-DOF) relocalization system which uses the end-to-end method to regress the 6-DOF pose in the RGB image. However, when the scenes change, PoseNet has huge variance. Ensemble learning can deal with this problem. We propose to use a new end to end camera relocalization method which combines the ensemble learning with PoseNet. In this model we modify the structure of PoseNet and get several different weak models. After that we train these different models and then use ensemble learning to do them together. Experiments show the effectiveness of ensemble learning, compared to previous PoseNet, using ensemble learning can get better result.
Service Chaining Security Based on Blockchain
Authors: Sun Ligen 
Published: October 2020

Abstract
The SDN (Software Defined Networking) service chaining can take advantage of the separation of control and forwarding in the SDN network, centrally manage and coordinate various physical and virtual resources to dynamically meet users’ complex network service needs. At present, most researches on SDN service chaining are about the service chaining protocol and composition structure, service chaining mapping and service chaining strategy description. However, there is no traceable data storage method for the stability of the performance of the service nodes. This paper proposes to use blockchain technology to ensure the reliable traceability of the service chaining data. Meanwhile, in order to improve the retrieval efficiency, this paper designs and implements the combination of virtual chain and Bloom filter, and through the design of smart contract to achieve the query rate of 584.7KB/s under the condition of using blockchain. Besides, the system can save 28.7% of the retrieval time in the case of a large number of service chaining data storage. These experimental results prove that the system design can be well applied in the service chaining scenario.
Infrared Pedestrian Detection Based on Attention Mechanism
Authors: Zhu Yaling , Yang Jungang , Deng Xinpu , Xiao Chao , An Wei 
Published: October 2020

Abstract
Pedestrian detection is one of the key technologies in computer vision, and plays an important role in surveillance and automatic driving. Compared with visible cameras, infrared cameras are more suitable for all-weather and all-day work. Recently, a number of methods have been proposed for infrared pedestrian detection, but cannot achieve a satisfactory performance in the case of small pedestrians. In this paper, we propose an improved RefineDet algorithm to solve the aforementioned problem. First, the aspect ratio in our method is modified to the range of an average person. Second, an attention mechanism is introduced to address the small spatial size of pedestrian. In addition, we develop a new dataset which includes small pedestrian for performance evaluation. Experiments demonstrated that our method can achieve a superior performance as compared to SSD and RefinDet methods.