bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photo-Electric Response of Polyaniline/ZnO Nanocomposites Based on Inorganic/Organic Heterojunctions
Authors: Han Lei-lei , Meng Chao-ying , Fan Shan 
Published: June 2019

Abstract
The samples were analyzed and characterized by scanning electronic microscope (SEM) and X-ray diffraction (XRD).The XRD results showed that the diffraction peaks of PANI/ZnO nanocomposites agreed with the pure ZnO. The as-prepared nanocomposites with different amounts of PANI dopants exhibited different sensing properties. When the weight ratio of PANI is 5%, the photoelectric response of nanocomposites to UV light reaches maximum (1938). Compared with ZnO, the response shows 60 times improvement. Additionally, the probable photoelectric response mechanism was also proposed. Firstly, the existence of p-n heterojunctions formed between p-type PANI and n-type ZnO interfaces was confirmed by the IV characteristics. It is believed that the p-n heterojunctions can promote the charge separation and further increase the amount of absorbed negative oxygen ions. Secondly, the highly dispersed stated of PANI could suppress the formation of interfacial recombination centers and accelerate p-type hole transporting. The photocurrent of composites is improved significantly. And we hope this work can help for designing more photoelectric materials with the higher response.
Manufacturing Processes of Sensorial Materials: Sensors Placement and Experimental Validation
Authors: Mekid S. , Daraghma H. 
Published: June 2019

Abstract
Nervous and sensorial materials are gaining more attention with in-material host of both sensors and actuators together to build functional materials for robotics and structural health monitoring. This paper presents a case study of a cantilever beam made with different materials including metals, polymers and powder-based materials using variety of manufacturing procedures with inserted sensors inside. The part becomes sensorial in this case and may be more functional for structural health monitoring and smart materials with dynamic functions. The results show that not only the location of the sensors is extremely important inside the material to capture true material’s behavior, but also the integrity of both sensors and material that must be satisfied. Example with experimental validation have shown agreement between theoretical and measured values.
Different Methods of Introduction Gold NPs into Perovskite Solar Cells with Their Efficiencies
Authors: Abdoul-latif Mouna Mohamed , Xu Jia , Yao Jianxi , Dai Songyuan , Awaleh Mohamed Osman 
Published: June 2019

Abstract
The introduction of gold nanoparticles (Au NPs) into Perovskite Solar Cells doesn’t bring a higher enhancement in efficiency than fullerene like C60 or PCBM (phenyl C61-butyric acid methylester) or graphene introduced into the PSCs which have improved the efficiency more than 15%. In this work, the Au NPs prepared by sol-gel method using Turkevish method have been introduce into PSCs by three different ways and their efficiencies have been investigated for looking for the best method. This adding of the Au NPs is done firstly by doping the TiO2, secondly by depositing Au NPs layer into the TiO2 layer and thirdly by depositing the Au NPs doped TiO2 layer into TiO2 layer. All of them have given some results but still significantly low compared to other materials used. Even though the Au NPs could improve the short-circuit photocurrent density Jsc, the contact between Au NPs or TiO2 and spiro-OMeTAD may also have decreased the PCE.
Measurement of Gas Temperature and Concentration Based on TDLAS
Authors: Chang Zijun , Liu Qingming , Shen Yang 
Published: June 2019

Abstract
The measurement of gas temperature and concentration in combustion process has always been an important part of research. Based on the application of tunable diode laser technology in gas detection, the molecular absorption spectroscopy system was established and the concentration and temperature of water vapor were measured. Based on the spectral parameters in the latest HITRAN 2016 database, a group of programs have been compiled, which adopt the form of VOIGT function and consider frequency shift caused by pressure and temperature and . The spectral absorbance of H2O was obtained by the computer program. Based on the scanning range of the laser, the spectral lines of water vapor molecule near 1392 nm were screened to obtain the suitable pairs of spectral lines for measuring temperature and concentration. The pairs of spectral lines were validated as gas temperature measurements at high temperature by numerical simulation. TDLAS system is built independently, and TDLAS technology is used to measure the gas concentration field and temperature field in an experimental way. It is of great significance for TDLAS technology in gas monitoring.
Design of the Curtain Wall Cleaning Robot
Authors: Fan Shan , Han Lei-lei , Meng Chao-ying 
Published: June 2019

Abstract
The curtain wall cleaning robot suitable for special-shaped wall structure of buildings is designed, and the mechanical structure design and control system design of the curtain wall cleaning robot is completed in the paper.The curtain wall cleaning robot is composed of two parts with the same structure. The hinge mechanism is used to realize the turning action of irregular wall. The suction and movement of the cleaning robot are realized by vacuum adsorption of the sucker. And the motor controlled the rotation of the roller brush. The screw guide rail drives the roller brush up and down to realize cleaning. Based on the mechanical structure design, the control system of curtain wall cleaning robot is designed. And PLC control system is used to control the sequence of action of curtain wall cleaning robot.
Using Regularized Softmax Regression in the GNSS/INS Integrated Navigation System with Nonholonomic Constraints
Authors: Zhao Linlin , Quan Haiyang 
Published: June 2019

AbstractThe integration of global navigation satellite system (GNSS) and Inertial navigation system (INS) is widely implemented in land-vehicle navigation applications. However, the satellite signal is vulnerable in some special urban scenarios, consequently errors in terms of position, velocity and attitude grow rapidly in stand-alone mode especially for low-cost MEMS-based INS. In the conventional tight combination navigation schemes, system works on predicting model during the GNSS signal outage and the positioning accuracy is determined by the precision of the inertial navigation. Besides the lack of observation makes the estimate of inertial navigation error with GNSS information less reliable due to the satellite signal loss. In this paper, an improved non-holonomic constraints (NHC) method based on regularized softmax regression is proposed to enhance navigation precision when the number of visible satellite is insufficient. The velocity constraint condition is applied to simplify the system calculating equations of MEMS-based INS. Furthermore, a regularization softmax regression model based on the collected data is trained to recognize the vehicle motion pattern so as to realize deeper constraints. Simulation and field-test results indicate that the method is beneficial to raise the precision of low-cost GNSS/INS integrated navigation receiver by efficiently reduce the navigation errors.
Base on PBN’s General Aviation Airspace Planning Research
Authors: Mu Jing 
Published: June 2019

Abstract
At present, all kinds of general aviation in China developing fast. The market of general aviation facing the never seen before appeared challenges. Improve the utilization of airspace resources and expand operational capability of general aviation have become very urgent task. Nowadays PBN Navigation can be used for the operation of general aviation. Improving the utilization of airspace resources, promoting the quality of the flight operation and ensuring flight safety under the same condition. This paper put forward the basic procedure method and operational recommendations for PBN based airspace planning by studying the PBN based airspace planning method.
P3DOCK: a protein–RNA docking webserver based on template-based and template-free docking
Authors: Zheng Jinfang , Hong Xu , Xie Juan , Tong Xiaoxue , Liu Shiyong 
Published: June 2019

Abstract

Motivation
The main function of protein–RNA interaction is to regulate the expression of genes. Therefore, studying protein–RNA interactions is of great significance. The information of three-dimensional (3D) structures reveals that atomic interactions are particularly important. The calculation method for modeling a 3D structure of a complex mainly includes two strategies: free docking and template-based docking. These two methods are complementary in protein–protein docking. Therefore, integrating these two methods may improve the prediction accuracy.

Results
In this article, we compare the difference between the free docking and the template-based algorithm. Then we show the complementarity of these two methods. Based on the analysis of the calculation results, the transition point is confirmed and used to integrate two docking algorithms to develop P3DOCK. P3DOCK holds the advantages of both algorithms. The results of the three docking benchmarks show that P3DOCK is better than those two non-hybrid docking algorithms. The success rate of P3DOCK is also higher (3–20%) than state-of-the-art hybrid and non-hybrid methods. Finally, the hierarchical clustering algorithm is utilized to cluster the P3DOCK’s decoys. The clustering algorithm improves the success rate of P3DOCK. For ease of use, we provide a P3DOCK webserver, which can be accessed at www.rnabinding.com/P3DOCK/P3DOCK.html. An integrated protein–RNA docking benchmark can be downloaded from http://rnabinding.com/P3DOCK/benchmark.html.

Availability and implementation
www.rnabinding.com/P3DOCK/P3DOCK.html.

Supplementary information
Supplementary data are available at Bioinformatics online.
capC-MAP: software for analysis of Capture-C data
Authors: Buckle Adam , Gilbert Nick , Marenduzzo Davide , Brackley Chris A 
Published: June 2019

Abstract

Summary
Capture-C is a member of the chromosome-conformation-capture family of experimental methods which probes the 3D organization of chromosomes within the cell nucleus. It provides high-resolution information on the genome-wide chromatin interactions from a set of ‘target’ genomic locations, and is growing in popularity as a tool for improving our understanding of cis-regulation and gene function. Yet, analysis of the data is complicated, and to date there has been no dedicated or easy-to-use software to automate the process. We present capC-MAP, a software package for the analysis of Capture-C data.

Availability and implementation
Implemented with both ease of use and flexibility in mind, capC-MAP is a suit of programs written in C++ and Python, where each program can be run separately, or an entire analysis can be performed with a single command line. It is available under an open-source licence at https://github.com/cbrackley/capC-MAP, as well as via the conda package manager, and should run on any standard Unix-style system.

Supplementary information
Supplementary data are available at Bioinformatics online.
DeepDetect: Detection of Distributed Denial of Service Attacks Using Deep Learning
Authors: Asad Muhammad , Asim Muhammad , Javed Talha , Beg Mirza O , Mujtaba Hasan , Abbas Sohail 
Published: June 2019

Abstract
At the advent of advanced wireless technology and contemporary computing paradigms, Distributed Denial of Service (DDoS) attacks on Web-based services have not only increased exponentially in number, but also in the degree of sophistication; hence the need for detecting these attacks within the ocean of communication packets is extremely important. DDoS attacks were initially projected toward the network and transport layers. Over the years, attackers have shifted their offensive strategies toward the application layer. The application layer attacks are potentially more detrimental and stealthier because of the attack traffic and the benign traffic flows being indistinguishable. The distributed nature of these attacks is difficult to combat as they may affect tangible computing resources apart from network bandwidth consumption. In addition, smart devices connected to the Internet can be infected and used as botnets to launch DDoS attacks. In this paper, we propose a novel deep neural network-based detection mechanism that uses feed-forward back-propagation for accurately discovering multiple application layer DDoS attacks. The proposed neural network architecture can identify and use the most relevant high level features of packet flows with an accuracy of 98% on the state-of-the-art dataset containing various forms of DDoS attacks.
Oral Fluid Drug Testing: Analytical Approaches, Issues and Interpretation of Results
Authors: Desrosiers Nathalie A , Huestis Marilyn A 
Published: June 2019

AbstractWith advances in analytical technology and new research informing result interpretation, oral fluid (OF) testing has gained acceptance over the past decades as an alternative biological matrix for detecting drugs in forensic and clinical settings. OF testing offers simple, rapid, non-invasive, observed specimen collection. This article offers a review of the scientific literature covering analytical methods and interpretation published over the past two decades for amphetamines, cannabis, cocaine, opioids, and benzodiazepines. Several analytical methods have been published for individual drug classes and, increasingly, for multiple drug classes. The method of OF collection can have a significant impact on the resultant drug concentration. Drug concentrations for amphetamines, cannabis, cocaine, opioids, and benzodiazepines are reviewed in the context of the dosing condition and the collection method. Time of last detection is evaluated against several agencies' cutoffs, including the proposed Substance Abuse and Mental Health Services Administration, European Workplace Drug Testing Society and Driving Under the Influence of Drugs, Alcohol and Medicines cutoffs. A significant correlation was frequently observed between matrices (i.e., between OF and plasma or blood concentrations); however, high intra-subject and inter-subject variability precludes prediction of blood concentrations from OF concentrations. This article will assist individuals in understanding the relative merits and limitations of various methods of OF collection, analysis and interpretation.
Functional comparison of the group III hybrid histidine kinases TcsC of Aspergillus fumigatus and NikA of Aspergillus nidulans
Authors: Böhmer Isabella , Spadinger Anja , Ebel Frank 
Published: June 2019

Abstract
In filamentous fungi, group III hybrid histidine kinases (HHKs) are major and nonredundant sensing proteins of the high osmolarity glycerol pathway. In this study, we have compared the biological functions of the two homologous group III HHKs TcsC of Aspergillus fumigatus and NikA of A. nidulans. As expected from previous studies, the corresponding mutants are severely impaired in their ability to adapt to hyperosmotic stress and are both resistant to the antifungal agent fludioxonil. However, our data also reveal novel phenotypes and differences between these mutants. Both TcsC and NikA are required for wild-type-like growth on Czapek-Dox medium and a normal resistance to certain oxidative stressors, whereas an increased resistance to the cell wall disturbing agents Congo red and Calcofluor white was found for the ΔtcsC but not for the ΔnikA mutant. With respect to the cell wall reorganizations that are triggered by fludioxonil in a TcsC/NikA-dependent manner, we observed similarities but also striking differences. Strains from seven Aspergillus species, including A. fumigatus and A. nidulans incorporated more chitin into their cell walls in response to fludioxonil. In contrast, fludioxonil treatment resulted in a shedding of surface accessible galactomannan and β-1,3-glucan in all Aspergillus strains tested except A. nidulans. Hence, the fludioxonil-induced activation of NikA results in a distinct and apparently A. nidulans-specific pattern of cell wall reorganizations that is not due to NikA itself, but its integration into the A. nidulans signaling network.
Observational signatures of outbursting protostars - I: From hydrodynamic simulations to observations
Authors: MacFarlane Benjamin , Stamatellos Dimitris , Johnstone Doug , Herczeg Gregory , Baek Giseon , Chen Huei-Ru Vivien , Kang Sung-Ju , Lee Jeong-Eun 
Published: June 2019

Abstract
Accretion onto protostars may occur in sharp bursts. Accretion bursts during the embedded phase of young protostars are probably most intense, but can only be inferred indirectly through long-wavelength observations. We perform radiative transfer calculations for young stellar objects (YSOs) formed in hydrodynamic simulations to predict the long wavelength, sub-mm and mm, flux responses to episodic accretion events, taking into account heating from the young protostar and from the interstellar radiation field. We find that the flux increase due to episodic accretion events is more prominent at sub-mm wavelengths than at mm wavelengths; e.g. a factor of ∼570 increase in the luminosity of the young protostar leads to a flux increase of a factor of 47 at 250 $\mu$m but only a factor of 10 at 1.3 mm. Heating from the interstellar radiation field may reduce further the flux increase observed at longer wavelengths. We find that during FU Ori-type outbursts the bolometric temperature and luminosity may incorrectly classify a source as a more evolved YSO due to a larger fraction of the radiation of the object being emitted at shorter wavelengths.
C iv black hole mass measurements with the Australian Dark Energy Survey (OzDES)
Authors: Hoormann J K , Martini P , Davis T M , King A , Lidman C , Mudd D , Sharp R , Sommer N E , Tucker B E , Yu Z , Allam S , Asorey J , Avila S , Banerji M , Brooks D , Buckley-Geer E , Burke D L , Calcino J , Carnero Rosell A , Carollo D , Carrasco Kind M , Carretero J , Castander F J , Childress M , De Vicente J , Desai S , Diehl H T , Doel P , Flaugher B , Fosalba P , Frieman J , García-Bellido J , Gerdes D W , Gruen D , Gutierrez G , Hartley W G , Hinton S R , Hollowood D L , Honscheid K , Hoyle B , James D J , Krause E , Kuehn K , Kuropatkin N , Lewis G F , Lima M , Macaulay E , Maia M A G , Menanteau F , Miller C J , Miquel R , Möller A , Plazas A A , Romer A K , Roodman A , Sanchez E , Scarpine V , Schubnell M , Serrano S , Sevilla-Noarbe I , Smith M , Smith R C , Soares-Santos M , Sobreira F , Suchyta E , Swann E , Swanson M E C , Tarle G , Uddin S A ,   (DES Collaboration)
Published: June 2019

ABSTRACT
Black hole mass measurements outside the local Universe are critically important to derive the growth of supermassive black holes over cosmic time, and to study the interplay between black hole growth and galaxy evolution. In this paper, we present two measurements of supermassive black hole masses from reverberation mapping (RM) of the broad C iv emission line. These measurements are based on multiyear photometry and spectroscopy from the Dark Energy Survey Supernova Program (DES-SN) and the Australian Dark Energy Survey (OzDES), which together constitute the OzDES RM Program. The observed reverberation lag between the DES continuum photometry and the OzDES emission line fluxes is measured to be $358^{+126}_{-123}$ and $343^{+58}_{-84}$ d for two quasars at redshifts of 1.905 and 2.593, respectively. The corresponding masses of the two supermassive black holes are 4.4 × 109 and 3.3 × 109 M⊙, which are among the highest redshift and highest mass black holes measured to date with RM studies. We use these new measurements to better determine the C iv radius−luminosity relationship for high-luminosity quasars, which is fundamental to many quasar black hole mass estimates and demographic studies.
PS1-13cbe: the rapid transition of a Seyfert 2 to a Seyfert 1
Authors: Katebi Reza , Chornock Ryan , Berger Edo , Jones David O , Lunnan Ragnhild , Margutti Raffaella , Rest Armin , Scolnic Daniel M , Burgett William S , Kaiser Nick , Kudritzki Rolf-Peter , Magnier Eugene A , Wainscoat Richard J , Waters Christopher 
Published: June 2019

ABSTRACT
We present a nuclear transient event, PS1-13cbe, that was first discovered in the Pan-STARRS1 survey in 2013. The outburst occurred in the nucleus of the galaxy SDSS J222153.87+003054.2 at z = 0.123 55, which was classified as a Seyfert 2 in a pre-outburst archival Sloan Digital Sky Survey (SDSS) spectrum. PS1-13cbe showed the appearance of strong broad H α and H β emission lines and a non-stellar continuum in a Magellan spectrum taken 57 d after the peak of the outburst that resembled the characteristics of a Seyfert 1. These broad lines were not present in the SDSS spectrum taken a decade earlier and faded away within 2 yr, as observed in several late-time MDM spectra. We argue that the dramatic appearance and disappearance of the broad lines and a factor of ∼8 increase in the optical continuum are most likely caused by variability in the pre-existing accretion disc than a tidal disruption event, supernova, or variable obscuration. The time-scale for the turn-on of the optical emission of ∼70 d observed in this transient is among the shortest observed in a ‘changing-look’ active galactic nucleus.
Handleyomys intectus (Rodentia: Cricetidae)
Authors: Vargas Laura M , Ramírez-Chaves Héctor E , Velazco Paúl M 
Published: June 2019

Abstract
Handleyomys intectus (Thomas, 1921) is a rodent commonly called the Colombian rice rat or white-footed Handley’s mouse. It is a dull brownish-gray to blackish small mouse with frosted ventral pelage and with dark gray and pure-white (or indistinctly pigmented) hairs over the dorsum of hindfeet. H. intectus is endemic to the Central Andes of Colombia and it is known from several localities between 1,500 and 2,800 m. It may be a common species along its distribution. Globally, it is considered “Least Concern” by the International Union for Conservation of Nature and Natural Resources.
Bacterial Translocation and Host Immune Activation in Chronic Hepatitis C Infection
Authors: Moon Mi Sun , Quinn Gabriella , Townsend Elizabeth C , Ali Rabab O , Zhang Grace Y , Bradshaw Alyson , Hill Kareen , Guan Hannah , Hamilton Destanee , Kleiner David E , Koh Christopher , Heller Theo 
Published: June 2019

Abstract
Hepatitis C virus (HCV) infects 71 million individuals, and barriers to treatment remain. Bacterial translocation is a complication of chronic HCV infection, and this study evaluated circulating microbial components including lipopolysaccharide, peptidoglycan, and β-D-glucan in addition to their pattern recognition receptors and degree of hepatic macrophage uptake. The findings suggest that regulation of serum peptidoglycan and β-D-glucan differs from that of lipopolysaccharide. Additionally, macrophage activation in the liver may be better reflected by the degree of macrophage uptake than by circulating levels of microbial markers. These findings allow for a greater understanding of bacterial translocation and host immune activation during HCV infection.