bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multimodal Neuromonitoring: Current Scenario in Neurocritical Care
Authors: Goyal Keshav , Khandelwal Ankur , Kedia Shweta 
Published: June 2019

AbstractMultimodal neuromonitoring (NM) is the concept of integrating various tools and data to understand brain physiology and guide therapeutic interventions to prevent secondary brain injury. There exists a range of invasive/noninvasive and global/regional monitors of cerebral hemodynamics, oxygenation, metabolism, and electrophysiology that can be used to guide treatment decisions after neurological insult. No single monitoring modality is ideal for all patients. Simultaneous assessment of cerebral hemodynamics, oxygenation, and metabolism allows individualized patient care. The ability to analyze these advanced data for real-time clinical care, however, remains intuitive and primitive. Advanced informatics is promising and may provide us a supportive tool to interpret physiological events and guide pathophysiological-based therapeutic decisions. Available literature is not robust regarding multimodality NM and favorable patient outcome. This narrative review is undertaken to know the status and recent advancement of multimodal NM in neurocritical care.
Pharmacologic Treatment of Meningitis and Encephalitis in Adult Patients
Authors: Treister Andrew K. , Koerner Ines P. 
Published: June 2019

AbstractMeningitis and encephalitis are two inflammatory, often infectious, disorders of the meninges and the central nervous system. Both are associated with significant morbidity and mortality, and require early and aggressive targeted treatment. This article reviews pharmacologic treatment strategies for infectious meningitis and encephalitis, using the latest available research and guidelines. It provides an overview of empiric antimicrobial treatment approaches for a variety of organisms, including a discussion of trends in antibiotic resistance where applicable. Key steps in diagnosis and general management are briefly reviewed.
Growing pains: Maturity associated variation in injury risk in academy football
Authors: Johnson D. M. , Williams S. , Bradley B. , Sayer S. , Murray Fisher J. , Cumming S. 
Published: June 2019

AbstractReducing injuries to youth players is of primary importance to academies, as injuries can result in a significant loss in both training and match time, as well as, negatively affecting player development. In total, 76 talented young football players were analysed over two full competitive seasons. The injury incidence and burden for all non‐contact and overuse injuries were recorded. Exposure was calculated as the total number of competitive matches hours played. Somatic maturation was estimated by expressing the current height of each player as a percentage of their predicted adult height [Roche, A. F., Tyleshevski, F., & Rogers, E. (1983). Non‐invasive measurements of physical maturity in children. Research Quarterly for Exercise and Sport, 54(4), 364–371.]. The period of circa‐peak height velocity (PHV) (24.5 injuries per 1000 h) was associated with a significantly higher injury incidence rate and burden compared to pre‐PHV (11.5 injuries per 1000 h; RR:2.15, 95%CI:1.37–3.38, P < .001). No significant differences in injury risk between maturity timing groups were observed. The interaction effect between maturity status and maturity timing confirmed there is a risk period circa‐PHV, but this was not dependent on maturity timing. The main practical application of this study is that football academies should regularly assess the maturity status of young footballers to identify those players with increased susceptibility to injury. Moreover, academies should individualise training and injury prevention strategies based on maturation.
Simulation studies of temperature anisotropy driven pair-Alfvén and aperiodic instabilities in magnetized pair plasma
Authors: Dieckmann M E , Folini D , Bret A , Walder R 
Published: June 2019

Abstract
We compare with one-dimensional particle-in-cell simulations the aperiodically growing instabilities driven by a bi-Maxwellian velocity distribution in unmagnetized electron plasma (Weibel instability) and in pair plasma. The simulation box is aligned with the cool direction. The waves in both simulations evolve towards a circularly polarized non-propagating magnetic structure. Its current and magnetic field are aligned and the structure is in a force-free state. We examine how a background magnetic field B
0, which is parallel to the simulation direction, affects the waves in the pair plasma. A weak B
0 cannot inhibit the growth of the aperiodically growing instability but it prevents it from reaching the force-free stable state. The mode collapses and seeds a pair Alfvén waves. An intermediate B
0 couples the thermal anisotropy to the pair Alfvén mode and propagating magnetowaves grow. The phase speed of the pair of Alfvén waves is increased by the thermal anisotropy. Its growth is suppressed when B
0 is set to the value that stabilizes the mirror mode.
Improvement of stereo matching algorithm based on guided filtering and Kernel Regression
Authors: Cao Ying Shan , Liu Jin Gen , Wen Tie Xiang , Bi Xu 
Published: June 2019

Abstract
Stereo matching is one of the most dynamic fields in computer vision. Though its relevant research has already stepped into a mature stage, there are still certain challenges to obtain real-time and high-precision disparity maps from stereo image pairs. This paper presents a novel local stereo matching algorithm with better performance in edge preserving. In the first stage, this paper measures matching cost through combining truncated absolute differences (TAD) of the color and gradient. In the cost aggregation stage, this paper is creatively to combined the weighted guided filtering and adaptive steering kernel regression algorithm, which effectively preserves image edge and depth information. In the final stage, an adaptive steering kernel regression algorithm is employed in interpolation to refine the final disparity map. According to the Middlebury benchmark experiments, the algorithm proposed in this paper could have better performance than other local stereo matching algorithms.
Electronic Invoice Authenticity Verifying Scheme Based on Signature Recognition
Authors: Xie Rongna , Mao Weihua , Shi Guozhen 
Published: June 2019

Abstract
With the rapid development of network and information technology, paperless and electronics have become the development trend of today’s economic life. As a consumption certificate, e-invoice has become more and more demanding in e-commerce. The existing electronic invoice verification method only judges whether the electronic invoice has passed the verification by verifying the authenticity of the digital signature of the seller. Although the verification result has certain reference value, it is assumed that the electronic invoice does not authorize by the tax authority, because the verification process will not verify the signature of the tax authority, which cannot be detected as an illegal behavior. This verification method cannot guarantee the complete legality and authenticity of the electronic invoice. Aimed at the above problems, this paper designs a digital signature-based electronic invoice authenticity verifying scheme. By verifying the legality of the signature of the seller and tax authority, and the truth of the trading information, it can ensure the authenticity of the electronic invoice passed.
Research on Storage Location Optimization Based on Genetic Algorithms
Authors: Xu Wei , Jia Hongwei 
Published: June 2019

Abstract
Based on the assumptions given by the model, a mathematical model of multi-objective optimization problem is established on the basis of considering the requirements of gravity center, frequency and the time required for a single operation mode to complete the operation of warehouse entry and exit. A genetic algorithm is proposed to solve the problem of warehouse location optimization. The simulation results show that the genetic algorithm can effectively solve the problem of warehouse location optimization.
Design of real-time simulation method for infrared earth sensor signal based on FPGA architecture
Authors: Wang Yan , Xie Ziyan , Zhang Jinjiang 
Published: June 2019

Abstract
The infrared earth sensor simulator composed by analog circuit or analog circuit with digital circuit is widely used in the field of spacecraft dynamics simulation and testing. The traditional analog methods with low level of real-time performance and poor stability are difficult to determine the parameters of system components. A real-time digital process method based on field programmable gate array was proposed. The hardware architecture was designed and implemented, and FPGA signal filtering, on-board differential calculation and earth square wave calculation algorithm were focused on. The Validation results show that the system accuracy can reach 0.005, and the signal processing process is not affected by environmental interference, has good stability, and is valuable for engineering applications.
Simplifying Long Short-Term Memory for Fast Training and Time Series Prediction
Authors: Zhang Yuyan , Hao Xin , Liu Yong 
Published: June 2019

Abstract
Long short Term Memory(LSTM) has been widely used in sequencial problems. However, for the time series prediction problems, its complex structure limits its running speed and performance. In order to solve this problem, this paper simplified the standard LSTM model by reducing the number of gates and the parameters involved in gates computation. Experiments on univariate data set and multivariate data set show that the proposed simplified model not only has better accuracy, but also has higher running speed.
Information Technology and Its Application in Accounting Simulation Experiments
Authors: Zhou Haiyan 
Published: June 2019

Abstract
With the rapid development of computer and communication technology, information technology has become more and more widely used in various fields such as industrial and agricultural production and social life. Information technology contains many aspects, and computer multimedia technology is an important part of information technology. Multimedia information technology mainly includes audio technology, video technology, data compression technology and virtual reality technology. In the information age, the development trend of networked and integrated computer multimedia technology can provide interactive platform and technical support for accounting simulation experiments, and plays an important role in the process of accounting course simulation practice teaching. ERP system is a platform system developed by modern information technology based on relevant management concepts. Financial management is an important part of the system. The system is used to design accounting simulation experiment courses and experience the actual experience of accounting related business. Drilling can provide experience accumulation. It can be customized to develop a software system that matches the teaching curriculum of the school. Based on this, accounting simulation experiments are carried out. In the end, the purpose of improving the experimental results and efficiency is achieved. This paper mainly studies the development of accounting simulation experiment system based on J2EE technology.
Influence of Temperature Uniformity of Billet before Rolling on Microstructure and Properties of Hot Rolled Rebar
Authors: Zhang Hongliang , Feng Guanghong , Wang Baoshan , Liu Xuming , Liu Xin 
Published: June 2019

Abstract
Through calculating the temperature field of billet in the process of reheating furnace, direct rolling and direct rolling with insulating cover, the temperature uniformity of billet obtained by different processes before starting rolling had been analysed. And then the mechanical properties and microstructure of hot rolled rebars in different positions of each process had been examined. The conclusions are as follows: The temperature uniformity of billet before rough rolling can be effectively increased by adding insulation covers in the conveying process of billet. With the decrease of temperature difference between the head and tail of billet, the fluctuation range of mechanical properties of production is narrowed. The process can obviously reduce the difference of grain size between the head and the tail of billet.
Experimental study of high/low temperature effects on the dynamic performance of rubber spring for railway vehicles
Authors: Teng Wanxiu , Tan Fuxing , Shi Huailong 
Published: June 2019

Abstract
For the layer rubber spring of a high-speed bogie, lab tests were conducted to obtain the dynamic parameters under extremely high and low temperatures (-60°C∼60°C) to obtain the nonlinear stiffness and damping parameters relevant to the frequency, amplitude and temperature changes. It starts from introducing the rubber element dynamic parameter test equipment, test plan and test methods. The applied loads and the temperatures are discussed. Then both the static and dynamic tests were performed for the layer spring of axle box, along the axial and radial directions. It shows that the common results can only reflect frequency- and amplitude-dependent characteristics of rubber, but the corresponding parameter change associated with each frequency and amplitude is highly dependent on the temperature. This phenomenon is quite severe in the low and extremely low temperature cases. Therefore, it is essential and necessary to carry out environmental temperature tests as well as basic theory study and simulations on all rubber components in order to know the parameter variation domain of the suspension system of a railway vehicle.
Effect of Shanxian Granule on Immunity in Lewis Lung Cancer Mice
Authors: Yan Fang , Rui Yang , Xia Dong , Chaoyu Zhang , Xiaoping Ying , Yanfang Pan , Xiaoping Wang 
Published: June 2019

Abstract
Objective: To observe the effect of Shanxian Granule on the proliferation of Lewis lung cancer cells and anti-tumor immunity of Lewis lung cancer bearing mice, and explore the molecular mechanism of Shanxian Granule in inhibiting tumors and improving the anti-tumor immunity of the body, so as to provide a profound theoretical basis for its clinical application. Methods: Lewis lung cancer cells were implanted into subaxillary skin to establish tumor bearing mice model, the mice were divided into control group, model group, chemotherapy group and Shanxian granule group, calculating the inhibition rate by weighing the tumor of Lewis lung cancer bearing mice, calculating the spleen index by weighing the spleen, immunohistochemical method was used to detected the expression of lymphocyte CD4+ and CD8+ in spleen. Results: 1. The inhibition rate of Shanxian granule group on Lewis lung cancer was 45.99%, significantly higher than that of chemotherapy group (P < 0.05); 2. Spleen index, ratio of CD4+ T cell and CD8+ T cell in model group and chemotherapy group were significantly lower than those in the control group and Shanxian granule group (P < 0.05); while there was no significant difference between the control group and Shanxian granule group (P < 0.05). Conclusion: Shanxian Granule could obviously inhibit the tumor growth in Lewis lung cancer bearing mice, increase spleen index, enhance T lymphocyte activity and restore immune homeostasis of mice, indicating that the anti-tumor effect of Shanxian Granule may be related to the improvement of immunity and the enhancement of immune surveillance function.
Design of a Transmission-line Transformer in the Construction of Strong Electromagnetic Field
Authors: Lei Zhang , Lewu Deng , Ping Wei , Peng Cui 
Published: June 2019

Abstract
Principle and design process of a transmission-line transformer are introduced in this paper. This design is mainly used to solve the problem of antenna impedance matching in the process of constructing strong electromagnetic environment, in order to improve the space radiation efficiency of low frequency band and realize the effective construction of strong electromagnetic environment.
Research on Evaluation of Linux in Aerospace Based on Improved FAHP
Authors: Yu Su , Yushuai Liu , Li Sun , Zhexi Yao , Jinbo Wang 
Published: June 2019

Abstract
The evaluation and selection of embedded operating system are very important for manned spaceflight engineering. Considering the fuzziness and hierarchy of the evaluation process, a fuzzy analytic hierarchy process (FAHP) based on variation coefficient method and Criteria Importance Though Intercrieria Correlation (CRITIC) method is proposed to be applied to comprehensive evaluation of real-time Linux in space embedded system. The evaluation system, evaluation set and Gaussian distribution membership function are constructed, and the weight values of each criterion and index are determined by variation coefficient method and CRITIC method. The measured data are used for quantitative indexes such as real-time performance, and the expert scoring method is used for qualitative indexes such as reliability and compatibility, and verifies the validity of the model through simulation. The results show that the improved FAHP can quickly and intuitively judge the performance characteristics of Linux system and its derivatives, and provide a method for scientific and effective evaluation of space embedded operating system.
The Identification Problem-Solving Abilities Based on Gender: Implementation Teaching Science Trough Guided Discovery Model’s in Bangkalan District
Authors: Hidayati Y , Rosidi I , Hadi W P 
Published: June 2019

Abstract
The aimed of this research was to identify differences of student’s problem-solving abilities in junior high school in Bangkalan district based on gender. Problem-solving ability is measured by paper and pencil test using the Polya’s indicator. The research design with one group pretest-posttest design. Data analysing with paired T-test. The paired t-test show that -tcount < -ttable < tcount = -1,051 <-2,021 <1,051. It can be concluded that the problem-solving abilities of female students is better than male students. In addition, teaching science with a problem-solving approach will provide learning experiences to improve pupil’s ability.
Instructional technique questions in the searching phase of project based learning to increase concept map scores
Authors: Auliya Dewi Fahma , Widoretno Sri , Dwiastuti Sri , Sajidan  , Saputra Alanindra 
Published: June 2019

Abstract
The research aims to increase the student’s Concept Map (CM) score through the application of instructional technique questions in the stages of searching for the theoretical background of the driving question in Project Based Learning. Research is a Class Action Research with 3 Cycles, procedure of the research are: planning the lesson plan, implementation of actions, observation, reflection, and construct of expert CM. The research subjects consisted of 32 high school students. Percentage of students’s CM score calculated based Novak & Gowin. Validation test uses triangulation method: verification of CM scores suitability and documentation based on CM experts and interviews. Data analyzed as qualitative descriptive by reducing, presenting data and drawing conclusions based on complete CM data. The results shown that the instructional technique of teacher’s questions increased the CM scores of students, but variation presented in component CM.
Science Process Skills Based on Genders of High School Students
Authors: Dahlia Yuliskurniawati Irma , Ika Noviyanti Nurul , Rosyadah Mukti Windy , Mahanal Susriyati , Zubaidah Siti 
Published: June 2019

Abstract
The 21st-century learning emphasizes the students’ ability to find out for a variety of sources, formulate a problem, think analytically, cooperation and collaborate in solving problems. Science process skills are essential competencies that must be achieved in the 21st century. These skills can also assist students in logical thinking, asking rational questions, and solving problems in their everyday life. The current research aimed to investigate the level of senior high school students’ science process skills. This research was a survey which involved four public senior high schools (SMAN), namely SMAN 4 Malang, SMAN 7 Malang, SMA 8 Malang, and SMAN 1 Turen. The research data were analyzed using an unpaired t-test. The results of the analysis showed that there was a difference between the male students’ science process skills and the female students’ science process skills (p 0.002). It was reported that 23% of the female students had achieved criteria 1 and around 34% had accomplished criteria 2. On the other hand, 26% of the male students had attained criteria 1 and only 17% of them had performed criteria 2. These findings suggest that an innovative learning model needs to be applied to empower the students’ science process skills.
Assessment of thermal and transport properties of ionic liquids as suitable absorbent for absorption cooling applications
Authors: Ariyadi H M , Yamaguchi S , Saito K 
Published: June 2019

Abstract
Ionic liquids, salts which have liquid phase at temperature below 100°C, have been widely introduced in engineering applications, including absorption cooling systems. The application of ionic liquids in absorption cooling systems is intended to remove the disadvantages of conventional working fluids such as corrosion and crystallization. In terms of thermodynamic performances, theoretical investigation based on solubility behavior of ionic liquids in natural refrigerants show a competitive performance in comparison with conventional working fluid. Nevertheless, heat transfer performance, which is also an important key in absorption cooling systems, particularly in terms of system design and size, needs to be deeply explored and investigated. This study aims to assess the thermal and transport properties of ionic liquids as absorbent in relation to the heat and mass transfer characteristics of these working fluids. The thermal and transport properties of ionic liquids proposed as absorbent for absorption cooling systems are collected, and heat and mass transfer characteristic of these ionic liquids based on their thermal and transport properties are investigated and analyzed. Finally, the most suitable ionic liquids for absorption machines, both in terms of thermodynamics and heat and mass transfer performances can be proposed.
Investigation and analysis on the performance of hydraulic ram pump at various design its snifter valve
Authors: Sucipta M , Suarda M 
Published: June 2019

Abstract
Hydraulic ram pumps are equipped with air vessel to reduce the pulsation of the pumping water flow and the acceleration head loss. In their operation, the amount of air available in the air vessel will be decreased continuously flowing out with delivery water. In order to replace the air volume in the air vessel, the hydraulic ram pump is equipped with a snifter-valve. However, in its implementation, this valve is a hole or orifice with a diameter of 2 mm at a distance of about 2 cm below the delivery valve on the body of the hydraulic ram pump. On the other hand, this will reduce the water hammer pressure that occurs, furthermore, it reduces the performance of the hydraulic ram pump. Based on its working principle, a snifter-valve is an automatic anti-vacuum valve or a non-return valve or check valve. Therefore, the work has been carried out to investigate and analyze the performance of a hydraulic ram pump without a hole or any snifter-valve, with a hole of 1 mm diameter, and equipped with a check-valve of 1 mm orifice diameter. The results showed that the snifter-valve with check-valve of 1 mm orifice diameter gives the best hydraulic ram pump performance for the hydraulic ram pump model that has been investigated.