bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inheritance of Basal Branching in Sunflower
Authors: Vedmedeva K.V. 
Published: April 2018

AbstractCollection of sunflower lines of the Institute of Oilseed Crops was studied based on its branching. Ten lines with the basal branching trait were identified. It was established that the inheritance of the basal branching is due to the recessive alleles of the genes. For lines InLD1240, Z1064, LD835, KG13, VIR130, KG13, LD4, basal branching trait is due to the recessive homozygote of one gene b2. In lines LD72/3, LD156, KG16, I2K2218, basal branching trait is due to the recessive homozygote of two genes b3 and b4. It was established that the genes determining basal branching are distributed in the offspring independently of the genes controlling the top branching.
Interactions between PLA, PE and wood flour: effects of compatibilizing agents and ionic liquids
Authors: Quitadamo Alessia , Massardier Valérie , Valente Marco 
Published: April 2018

AbstractThe differences in hydrophilicity are a main drawback for wood polymer composites (WPCs). This work aims at compatibilizing bio-derived poly(lactic acid) (PLA), high density polyethylene (PE) and wood fibers (WFs) with either functional PEs [PE-graft-maleic anhydride (MA) (Polybond 3029) or random copolymer of ethylene and glycidyl methacrylate (PE-g-GMA) (Lotader AX8840)] or trihexyl(tetradecyl)phosphonium bistriflamide ionic liquid (IL). The interactions and possible chemical reactions between PLA and functional PE or IL were studied including their mechanical properties. PE-g-GMA significantly increased elongation at break of PLA. According to scanning electron microscopy (SEM), the latter also displays good compatibility with WF. Addition of IL plastifies PLA without degrading it and improves the thermal stability of WF.
Melatonin has a protective effect against lipid peroxidation in the bone tissue of diabetic rats subjected to acute swimming exercise
Authors: Bicer Mursel , Baltaci Saltuk Bugra , Patlar Suleyman , Mogulkoc Rasim , Baltaci Abdulkerim Kasim 
Published: April 2018

Abstract

Aim
The present study aimed to examine the effects of melatonin supplementation on lipid peroxidation in the bone tissue of diabetic rats subjected to acute swimming exercise.

Methods
The study was conducted on 80 Sprague-Dawley type adult male rats which were equally allocated to eight groups: group 1, general control; group 2, melatonin-supplemented control; group 3, melatonin-supplemented diabetic control; group 4, swimming control; group 5, melatonin-supplemented swimming; group 6, melatonin-supplemented diabetic swimming; group 7, diabetic swimming; group 8, diabetic control. In order to induce diabetes, the animals were subcutaneously injected with 40 mg/kg streptozotocin (STZ). The animals were supplemented with 3 mg/kg/day melatonin intraperitoneally (IP) for 4 weeks. At the end of the study, the animals were decapitated to collect bone tissue samples which were examined to find out the malondialdehyde (MDA) (nmol/g/protein) and glutathione (GSH) (mg/dL/g protein) levels.

Results
The highest MDA values in the bone tissue were found in groups 7 and 8. MDA levels in the bone tissue in groups 3 and 6 were lower than the levels in groups 7 and 8, but higher than those in all other groups. Groups 3, 5 and 6 had the highest bone tissue GSH values. On the other hand, the lowest GSH level was established in groups 7 and 8.

Conclusion
The results of the present study indicated that the cell damage caused by acute swimming exercise and diabetes in the bone tissue could be prevented by melatonin supplementation.
Crater Formation on the Surface of Pure Metal and Alloy Irradiated by High Current Pulsed Electron Beam
Authors: Cai Jie , Guan Qingfeng , Lv Peng , Zhang Conglin , Yin Yunxiao 
Published: April 2018

Abstract
A detailed investigation concerning the formation mechanism of craters of pure metal and alloy surface after high-current pulsed electron beam (HCPEB) processing has been carried out. After HCPEB irradiation, typical craters were homogeneously distributed on the entire surface of 3Cr13 stainless steel, resulting from local sublayer melting and eruption through the solid outer surface. Comparatively, almost no craters were created of pure zirconium, which was associated with the shallow melting site and incomplete treated surface. Furthermore, a large number of ultrafine grains were formed on the irradiated surface, indicating that surface melting was the dominant interaction mechanism between HCPEB irradiation and pure zirconium. It is apparent that “crater free” phenomenon plays a dominant role in surface modification of zirconium and zirconium alloys.
Design and Evaluation of a Natural User Interface for Piloting an Unmanned Aerial Vehicle
Authors: Herrmann Roman , Schmidt Ludger 
Published: April 2018

Abstract
Controlling an unmanned aerial vehicle is challenging and requires an intensive training. One cause is the teleoperation with the conventional input device, the remote control, whose functions are complicate. This paper presents an alternative concept for the teleoperation. Its realization includes a Thalmic Myo gesture control wristlet and a Microsoft HoloLens head-mounted display. These devices are used to implement an augmented reality interface, a tactile feedback and a gesture and speech input. Finally, this implementation has been evaluated with 30 participants and compared with a conventional remote control. The results show that the proposed interface is a good solution but does not reach the performance of the remote control.
Who is the Perfect Match?
Authors: Bellhäuser Henrik , Konert Johannes , Müller Adrienne , Röpke René 
Published: April 2018

Abstract
Using digital tools for teaching allows to unburden teachers from organizational load and even provides qualitative improvements that are not achieved in traditional teaching. Algorithmically supported learning group formation aims at optimizing group composition so that each learner can achieve his or her maximum learning gain and learning groups stay stable and productive. Selecting and weighting relevant criteria for learning group formation is an interdisciplinary challenge. This contribution presents the status quo of algorithmic approaches and respective criteria for learning group formation. Based on this theoretical foundation, we describe an empirical study that investigated the influence of distributing two personality traits (conscientiousness and extraversion) either homogeneously or heterogeneously on subjective and objective measures of productivity, time investment, satisfaction, and performance. Results are compared to an earlier study that also included motivation and prior knowledge as criteria. We find both personality traits to enhance group satisfaction and performance when distributed heterogeneously.
Factors related to job burnout among nurses in the Razi Psychiatric Hospital, Iran
Authors: Rezaei Omid , Habibi Kamelia , Arab Ghahestany Davood , Sayadnasiri Mohammad , Armoon Bahram , Khan Vida , Fattah Moghadam Ladan 
Published: April 2018

Abstract

Background
One of the most prevalent problems in work places that is considered as an important risk factor for the health of the employee is job burnout (JB). JB could be harmful to employees, their families and society. Therefore, decreasing JB among individuals and determining factors associated with it is important to improve the working environment and prevent its negative outcomes. This study aims to elicit the conditions and factors that cause job burnout among nurses of the Razi Psychiatric Hospital, Iran.

Methods
This study was a descriptive correlational and cross-sectional survey which the demographic and occupational burnout variables of nurses were measured. The study was conducted from January to April 2016. Accordingly, with a type I error probability of 0.05 and a power of 0.80, the sample size was determined to be 100 nurses for each group (men and women). Then, 200 were selected in the Razi Psychiatric Hospital (of whom approx. 60% worked in a rotating shift schedule). The data were collected in two phases: the first step was created by the authors, including gathering demographic data with questionnaire such as gender, age, marital status, education level, years of professional experience, hours of overtime working per month, shift schedules, and their working hospitals and wards. The second step was the Maslach burnout inventory (MBI), human services survey (HSS) version, developed by Maslach and Jackson to assess the three dimensions of burnout. Descriptive statistics (frequency distribution) were used for integrating the demographic variables. Additionally, logistical regression was applied to realize the association between demographic characteristics with the job burnout in SPSS software V.19.

Results
Our findings indicated that age, hours of work per week, nursing skills, management experience and work experiences accounted for 30% of the variance of depersonalization. Formal employment was significantly associated with emotional exhaustion (p < 0.04). Also, sex was significantly associated with low personal accomplishment (p < 0.006).

Conclusion
The employment status and gender of nurses participating in the study has an effect on emotional exhaustion and personal achievement. Paying more attention to gender in the nursing profession and the change in their work status to a stable and formalized format can lead to a reduction in job burnout among nurses.
Effect of Biomass Concentration on Oxygen Mass Transfer, Power Consumption, Interfacial Tension and Hydrodynamics in a Multiphase Partitioning Bioreactor
Authors: Lizardi-Jiménez Manuel Alejandro , López-Ordáz Pedro , González-Brambila Margarita Mercedes , Linares-Morales Andrea , Melgarejo-Torres Rodrigo 
Published: April 2018

Abstract
Several studies have reported that the hydrodynamics are not affected by the biomass in multiphase partitioning bioreactors. This work aims to demonstrate the effect of biomass concentration (0, 1, 3 and 5 g L−1) on the oxygen mass transfer coefficients, the droplet size of the dispersed phase, power consumption and superficial tension in a multiphase partitioning bioreactor (ionic liquid-aqueous-air-biomass system). At a biomass concentration of 5 g L−1, the oxygen mass transfer coefficient (kLa) increased by 55% (249 h−1) compared with the abiotic system (160 h−1). In the multiphasic system, the droplet size (d32) decreased when the biomass concentration was increased, producing an increment in the mass transfer area of the dispersed phase. In addition, the power consumption decreased by 44 % compared to a previous report without biomass. Furthermore, the increment of biomass concentration decreased the superficial tension by up to 15 %. A biomass increment in a multiphase system not also increases product yield, but also enhances the bioconversion process. The results obtained suggest that it is obligatory to consider the effect of biomass concentration on hydrodynamic characterisation, design, scale-up and optimisation for improving the performance of biotechnological processes using multiphase bioreactors.
CFD Simulation and Optimization of Gas-Solid Phase Temperature of Isothermal Acetylene Hydrogenation Reactor
Authors: Hu Guihua , Ye Zhencheng , Du Wenli , Qian Feng 
Published: April 2018

Abstract
Gas-solid coupled heat transfer in an industrial isothermal acetylene hydrogenation reactor was carried out using computational fluid dynamics (CFD). A two-temperature porous medium model was established by adding source terms to energy equations of the solid and gas phases. The combination of a genetic algorithm with CFD methods is applied to optimization of the kinetic and process parameters of the reaction. The model was validated by comparing the simulated results with those obtained from a one-temperature porous medium model, a two-temperature porous medium model, and industrial data. The optimal hydrogen-to-acetylene ratio and inlet temperature are 1.78 and 326K, respectively. The optimized ethylene yield increase and hydrogenation selectivity are 0.53 % and 0.18 % higher than the values before optimization, respectively. Finally, the effects of the hydrogen-to-acetylene ratio and inlet temperature on the increase in ethylene yield and hydrogenation selectivity are analyzed. Therefore, the hydrogen-to-acetylene ratio and inlet temperature should be reasonably controlled during production.
Droop based Demand Dispatch for Residential Loads in Smart Grid Application
Authors: Ashourpouri Andisheh , Ghosh Arindam , Rajakaruna Sumedha 
Published: April 2018

Abstract
Aggregated loads play a significant role in maintaining the frequency of power system when the generation is not able to follow frequency deviations. An automatic Demand Dispatch (DD) enables the power system to employ the aggregated loads for balancing demand and supply. In this paper, a Demand Side Frequency Droop (DSFD) has been proposed which provides ancillary service to the grid and maintains the frequency of the power system when the generation system is not capable of following the demand. At the time of a frequency fall/rise, Balancing Authority (BA) can detect aggregated load or group of aggregated loads that have power consumption above or below their standard maximum/minimum consumption levels. Then, the BA issues a droop-based signal to the relevant aggregator. Afterwards, the DSFD will be implemented in the aggregator or the group of aggregators to specify the required power consumption amount for bringing the frequency back to its rated level. Subsequently, this signal will be sent to the Appliance Management Unit (AMU) at each participating house. The AMU sends the signal in the form of deferral or interruptible commands to the appliances depending on the priority, availability and the specification of the appliances. It will be demonstrated that the proposed DSFD control maintains the frequency of the power system within a specified range.
Islanding Detection Technique based on Karl Pearson’s Coefficient of Correlation for Distribution Network with High Penetration of Distributed Generations
Authors: Sareen Karan , Bhalja Bhavesh R , Srivastava Sanjay , Swarnkar Yogendra , Maheshwari Rudra Prakash 
Published: April 2018

Abstract
This article proposes a new Karl Pearson’s coefficient of correlation (‘r’) based islanding detection scheme which utilizes negative sequence voltage and voltage unbalance signal. In order to check the legitimacy of the proposed technique, large numbers of non-islanding and islanding events are generated by modeling IEEE 34-bus network. This scheme detects islanding situation even under 0 % power mis-match condition and thus, reduces the non detection zone (NDZ). Furthermore, the proposed technique detects islanding situation quickly as well as remains stable during the critical non-islanding situation like faults on adjoining feeder having varying location and fault resistance. Moreover, the proposed technique remains immune to variation in external system condition and fundamental frequency. The performance of the proposed technique is comprehensively compared with the schemes currently reported in the literature. This comparison apparently demonstrates the benefits of the proposed technique over existing schemes.
“No-one told me it would all be in Catalan!” – narratives and language ideologies in the Latin American community at school
Authors: Patiño-Santos Adriana 
Published: April 2018

AbstractThis article discusses the circulation of language ideologies through conversational narrative repertoires among Latin American parents in the secondary education system in Catalonia. Data, gathered in a linguistic ethnography carried out in three secondary schools in the metropolitan area of Barcelona between 2011 and 2013, include fieldwork in the classroom and other spaces of the school in different periods of the school year, as well as narrative repertoires gathered from in-depth interviews with some of the actors (students and parents of Latin American backgrounds). We focus on conversational narrative because it has proved to be an effective methodological resource for gathering evaluative and moral stances amongst tellers. Narrative data are triangulated with observational and interactional information. Some of the findings reveal, amongst other phenomena, the coexistence of a constellation of conflicting language ideologies regarding Catalan as the language of the school.
Using a Bayesian Structural Time–Series Model to Infer the Causal Impact on Cigarette Sales of Partial and Total Bans on Public Smoking
Authors: Pinilla Jaime , Negrín Miguel , González-López-Valcárcel Beatriz , Vázquez-Polo Francisco-José 
Published: April 2018

Abstract
The Bayesian structural time series model, used in conjunction with a state–space model, is a novel means of exploring the causal impact of a policy intervention. It extends the widely used difference–in–differences approach to the time series setting and enables several control series to be used to construct the counterfactual. This paper highlights the benefits of using this methodology to estimate the effectiveness of an absolute ban on smoking in public places, compared with a partial ban. In January 2006, the Spanish government enacted a tobacco control law which banned smoking in bars and restaurants, with exceptions depending on the floor space of the premises. In January 2011, further legislation in this area was adopted, removing these exceptions. The data source used for our study was the monthly legal sales of cigarettes in Spain from January 2000 to December 2014. The potential control series were the monthly tourist arrivals from the United Kingdom, the total number of visitors from France, the unemployment rate and the average price of cigarettes. Analysis of the state–space model leads us to conclude that the partial ban was not effective in reducing the tobacco sold in Spain, but that the total ban contributed significantly to reducing cigarette consumption.
A linear algorithm for the identification of a weakly singular relaxation kernel using two boundary measurements
Authors: Avdonin Sergei , Pandolfi Luciano 
Published: April 2018

Abstract
We consider a distributed system
of a type which is encountered in the study of diffusion processes with memory and in viscoelasticity. The key feature of such a system is the persistence in the future of the past actions due the memory described via a certain relaxation kernel; see below.
The parameters of the kernel have to be inferred from experimental measurements. Our main result in this paper is that by using two boundary measurements, the identification of a relaxation kernel which is a linear combination of Abel kernels (as often assumed in applications) can be reduced to the solution of a (linear) deconvolution problem.
Systematic Constraint Selection Strategy for Rate-Controlled Constrained-Equilibrium Modeling of Complex Nonequilibrium Chemical Kinetics
Authors: Beretta Gian Paolo , Rivadossi Luca , Janbozorgi Mohammad 
Published: April 2018

Abstract
Rate-Controlled Constrained-Equilibrium (RCCE) modeling of complex chemical kinetics provides acceptable accuracies with much fewer differential equations than for the fully Detailed Kinetic Model (DKM). Since its introduction by James C. Keck, a drawback of the RCCE scheme has been the absence of an automatable, systematic procedure to identify the constraints that most effectively warrant a desired level of approximation for a given range of initial, boundary, and thermodynamic conditions. An optimal constraint identification has been recently proposed. Given a DKM with S species, E elements, and R reactions, the procedure starts by running a probe DKM simulation to compute an S-vector that we call overall degree of disequilibrium (ODoD) because its scalar product with the S-vector formed by the stoichiometric coefficients of any reaction yields its degree of disequilibrium (DoD). The ODoD vector evolves in the same (S-E)-dimensional stoichiometric subspace spanned by the R stoichiometric S-vectors. Next we construct the rank-(S-E) matrix of ODoD traces obtained from the probe DKM numerical simulation and compute its singular value decomposition (SVD). By retaining only the first C largest singular values of the SVD and setting to zero all the others we obtain the best rank-C approximation of the matrix of ODoD traces whereby its columns span a C-dimensional subspace of the stoichiometric subspace. This in turn yields the best approximation of the evolution of the ODoD vector in terms of only C parameters that we call the constraint potentials. The resulting order-C RCCE approximate model reduces the number of independent differential equations related to species, mass, and energy balances from S+2 to C+E+2, with substantial computational savings when C ≪ S-E.
Energy and Exergy Analysis of Multi-Temperature PCMs Employed in a Latent Heat Storage System and Parabolic Trough Collector
Authors: Nagappan Beemkumar , Alagu Karthikeyan , Devarajan Yuvarajan , Munuswamy Dinesh Babu 
Published: April 2018

AbstractThis study represents the exergy analysis of the evacuated tube parabolic trough collector and the cascaded latent heat storage system using multi-temperature phase change material (PCMs) during the charging process. The objective of the work is to control the losses and increase the efficiency of the system. The exergy analysis has been conducted on the basis of the first and second laws of thermodynamics in a parabolic trough collector with various mass flow rates of the heat transfer fluid (HTF). The overall variation of exergy efficiency of the collector with varying mass flow rate of the HTF is 5.9 %. The thermodynamic analysis of the cascaded latent heat storage system has been done during the charging process in which the PCM absorbs energy from the HTF and undergoes a phase transformation from the solid to the liquid state. The exergy analysis is conducted by varying the mass flow rate of the HTF in the storage system for both insulated and non-insulated systems. It is noticed that the variation of exergy stored for 5 and 10 liters per minute is 24.609 kW and 40.48 kW, respectively. It is concluded that the high range of energy and exergy stored in the system is achieved by the high flow rate of the HTF.
Study of the Different Optical Filters in SAC-OCDMA System
Authors: Djellab H. , Doghmane N. , Bouarfa A. , Kandouci M. 
Published: April 2018

Abstract
Spectral amplitude coding for optical code division multiple access (SAC-OCDMA) networks has received much attention over the last two decades. This article aims to explore the impact of encoder change on different types of optical filters, such as the Gaussian optical filter and the Bessel optical filter, for high data rates and to give an overview on importance of choosing the optimal type of optical filter according to the frequency range selected by the user is 25 and 50 GHz. SAC-OCDMA transmitter utilizes Wavelength Division Multiplexing multiplexer (WDM MUX) as an encoder, to generate a code having low cross-correlation called Random Diagonal code, and spectral direct detection as a detection technique. The change of optical filter, in WDM MUX, directly affects the performance of the system. The results show that the system for 50 GHz, with a WDM MUX, using a Gaussian optical filter has better performance compared to the optical Bessel filter and can reach a bit error rate (BER) of 10−25. SAC-OCDMA system, using a WDM MUX based on Bessel filters with a bit rate of 300Mb/s, achieves a BER of 10−28 which leads us to recommend it for second norm 25 GHz. Moreover, the power received increases by 4 dBm every 20 Km with the increase in the length of the fibre for both filters Bessel and Gaussian. Our work focuses on the two 25 and 50 GHz bands, after a study on the impact of the change of the bandwidth and the order of the different optical filters used according to the BER applied to the different networks of access, such as local area network (LAN).