bluuebunny/crossref_metadata_2025_split huggingface dataset:
The society’s perception of suicide
Authors: Opielak Grzegorz , Kozioł Maciej , Zuzak Tomasz , Piech Piotr , Maciejewski Ryszard 
Published: September 2017

Abstract
Introduction: On account of its radical character, suicide is differently perceived by the society. The consequence of this phenomenon is the issue of moral evaluation by the society in the practical aspects of daily life, such as religious, psychological and social ones. Regarding society’s complexity, it is understandable that the knowledge and the evaluation of this act amongst people are different.
Materials and methods: In the study a method of the diagnostic survey was applied. The questionnaire was conducted amongst 168 individuals ranging from 18 to 49 years of age. The study involved 69 women and 99 men. The arranged personal data questionnaire served as the evaluation of perceiving the suicidal act and people’s knowledge about this occurrence.
Results: Respondents claim that suicidal behaviours affect 72.5% of young people, and 22.7% of adult men. Large group of the study participants had personal experience with individuals after a suicide attempt (41.92%). As many as 49.7% of individuals are fierce opponents of suicidal acts while 46.1% are of an opinion that ‘the one who commits suicide should not be condemned or judged’.
Conclusions: Respondents present vast knowledge about the universality of suicide phenomenon and its most frequent causes. They are against such behaviour, but do not condemn individuals who committed this act. The study participants show understanding of ways to prevent suicide.
Alcohol consumption and the risk of Internet addiction in teenagers aged 13-17 years living in the urban and rural areas
Authors: Zygo Maciej , Potembska Emilia , Zygo Karol , Stanisławek Andrzej , Karaś Łukasz , Pawłowska Beata 
Published: September 2017

Abstract
The aim of this paper was to determine differences and similarities between city dwelling teenagers aged 13–17 years who consumed/did not consume alcohol and their rural counterparts in regard to the severity of Internet addiction symptoms.
Participants and methods: The examined group consisted of 1,191 people (890 girls and 301 boys) aged 13–17 years. The following instruments were used in the study: a sociodemographic questionnaire designed by the present authors, the Internet Addiction Questionnaire designed by Potembska, and the Internet Addiction Questionnaire (KBUI) designed by Pawłowska and Potembska.
Results: The results show that adolescents who consume alcohol, both those living in urban and rural areas, are characterized by statistically significantly more severe Internet addiction symptoms measured by KBUI as compared to their non-drinking peers.
Conclusions:

Adolescents who consume alcohol, both urban and rural residents, are characterised by statistically significantly more severe symptoms of Internet addiction compared to their peers who do not consume alcohol.

Adolescents who live in a city and who consume alcohol are significantly more likely to use Internet pornography than their non-drinking peers.

Adolescents who live in urban areas are significantly more likely to use Internet pornography, play violent computer games and search for acceptance and understanding only in online interactions as compared to adolescents who do not consume alcohol.

Underage city-dwellers who consume alcohol are significantly more likely to use electronic mail, instant messaging and web pages compared to their rural peers.
“Okay ladies, now let’s get in formation!”: Music Videos and the Construction of Cultural Memory
Authors: Bertens Laura M. F. 
Published: September 2017

Abstract
This paper explores strategies for constructing and perpetuating cultural memory through music videos, using Beyonce’s Formation (2016) and Janelle Monae’s Many Moons (2008) and Q.U.E.E.N. (2013) as case studies. The medium’s idiosyncrasies create unique ways of communicating and remembering, explored here within a framework of Cultural Studies and Memory Studies. Easy dissemination and the limited length of most videos ensure a large, diverse audience. The relative freedom from narrative constraints enables the director to create original imagery, and most importantly, the medium allows an intricate blending of performance and performativity; while the videos evidently are performances, they are strongly performative as well, not only with respect to gender and ethnicity but in significant ways also cultural memory. A close reading of Beyonce’s video Formation shows how she explicitly does the cultural memory of the New Orleans flooding. The videos by Monae are shown to produce counter-memories, relying heavily on the strategy of Afrofuturism. As such, these densely woven networks of visual symbols become palimpsests of black lived experience and cultural memory, passed on to millions of viewers.
Some fixed point results on G-metric and Gb-metric spaces
Authors: Jaradat Mohammed M.M. , Mustafa Zead , Khan Sami Ullah , Arshad Muhammad , Ahmad Jamshaid 
Published: September 2017

Abstract
The purpose of this paper is to prove some fixed point results using JS-G-contraction on G-metric spaces, also to prove some fixed point results on Gb-complete metric space for a new contraction. Our results extend and improve some results in the literature. Moreover, some examples are presented to illustrate the validity of our results.
A Modified Signal Feed-Through Pulsed Flip- Flop for Low Power Applications
Authors: Panahifar Ehsan , Hassanzadeh Alireza 
Published: September 2017

AbstractIn this paper a modified signal feed-through pulsed flip-flop has been presented for low power applications. Signal feed-through flip-flop uses a pass transistor to feed input data directly to the output. Feed through transistor and feedback signals have been modified for delay, static and dynamic power reduction. HSPICE simulation shows 22% reduction in leakage power and 8% of dynamic power. Delay has been reduced by 14% using TSMC 90nm technology parameters. The proposed pulsed flip-flop has the lowest PDP (Power Delay Product) among other pulsed flip-flops discussed.
Improved Gaussian Mixture Probability Hypothesis Density for Tracking Closely Spaced Targets
Authors: Zhang Huanqing , Ge Hongwei , Yang Jinlong 
Published: September 2017

AbstractProbability hypothesis density (PHD) filter is a suboptimal Bayesian multi-target filter based on random finite set. The Gaussian mixture PHD filter is an analytic solution to the PHD filter for linear Gaussian multi-target models. However, when targets move near each other, the GM-PHD filter cannot correctly estimate the number of targets and their states. To solve the problem, a novel reweighting scheme for closely spaced targets is proposed under the framework of the GM-PHD filter, which can be able to correctly redistribute the weights of closely spaced targets, and effectively improve the multiple target state estimation precision. Simulation results demonstrate that the proposed algorithm can accurately estimate the number of targets and their states, and effectively improve the performance of multi-target tracking algorithm.
Picture-Based Multiple-AntennaTechnique for the DVB-T2 Receiver
Authors: Setiyanto Budi , Hidayat Risanuri , Mustika I Wayan ,   Sunarno
Published: September 2017

Abstract
Deep-fading can decline the quality of the received signal to below threshold, and interrupts the reception-success (generating an outage or time-out). In DVB-T2 (Digital Video Broadcasting Terrestrial Second Generation) receiver, such interruption can be identified from the displayed-picture. Multiple-antenna is one of techniques to mitigate such problem. This paper presents a multiple-antenna method for receiving the DVB-T2 signal. At any time, one of antennas is selected where the selection action is controlled by the recovered-picture. In case of using two antennas, field-measurement was conducted to collect the real data, later used in the simulation of the proposed algorithm. The result showed its capability to increase the portion of cumulative reception-success duration up to approximately 1.53 times with respect to its equivalent single-antenna.
Optimal Spectrum Utilization and Flow Controlling In Heterogeneous Network with Reconfigurable Devices
Authors: Hashmi Syed Shakeel , Sattar Syed Abdul , Soundararajan K. 
Published: September 2017

AbstractFairness provisioning in heterogeneous networks is a prime issue for high-rate data flow, wherein the inter-connectivity property among different communication devices provides higher throughput. In Hetnet, optimal resource utilization is required for efficient resource usage. Proper resource allocation in such a network led to higher data flow performance for real-time applications. In view of optimal resource allocation, a resource utilization approach for a reconfigurable cognitive device with spectrum sensing capability is proposed in this paper. The allocation of the data flow rate at device level is proposed for optimization of network fairness in a heterogeneous network. A dynamic approach of rate-inference optimization is proposed to provide fairness in dynamic data traffic conditions. The simulation results validate the improvement in offered quality in comparison to multi-attribute optimization.
Energy-Efficient Routing Based on Dynamic Programming for Wireless Multimedia Sensor Networks (WMSNs)
Authors: Putra Emansa Hasri , Hidayat Risanuri ,   Widyawan, Mustika I Wayan 
Published: September 2017

Abstract
Wireless Multimedia Sensor Networks (WMSNs) advances can route multimedia applications from source nodes to a sink. However, they require energy efficiency and network lifetime due to limited power resources in the sensor nodes. This paper proposes an energy-efficient routing optimization for multimedia transmission in WMSNs. The optimization utilizes a routing algorithm based on the dynamic programming. The routing optimization algorithm selects intermediary nodes which have minimum energy above 60%. Then, the priority selection of paths immediately finds neighboring nodes which have the greatest energy minimum. If there is the same minimum energy between the neighboring nodes, then the second priority selection is based on smaller link cost.
Algorithm Based New Tone Reservation Method for Mitigating PAPR in OFDM Systems
Authors: Saha Tanmoy , Chakrabarty Shreyasi , Bhattacharjee Subhankar , Sil Sanjib 
Published: September 2017

AbstractThere are abundant methods to mitigate PAPR in OFDM signals among which algorithm based tone reservation is of great popularity owing to its low complexity as well as decent BER. Here we have put forward a new distinct algorithm based Tone Reservation technique which is not only less complex and calculates its own threshold as well as PRT signal (unlike other algorithms requiring predetermined threshold and PRT) but also aptly modifies the data by bit by bit comparison with a modified copy of itself (algorithm modified) thus scaling the peaks as and providing a decent BER and good PAPR reduction.
Reduced Complexity by Combining Norm Based Ordering MMSE-BSIDE Detection in MIMO Systems
Authors: Jothikumar Ramya , Rangaswamy Nakkeeran 
Published: September 2017

AbstractThe breadth first signal decoder (BSIDE) is well known for its optimal maximum likelihood (ML) performance with lesser complexity. In this paper, we analyze a multiple-input multiple-output (MIMO) detection scheme that combines; column norm based ordering minimum mean square error (MMSE) and BSIDE detection methods. The investigation is carried out with a breadth first tree traversal technique, where the computational complexity encountered at the lower layers of the tree is high. This can be eliminated by carrying detection in the lower half of the tree structure using MMSE and upper half using BSIDE, after rearranging the column of the channel using norm calculation. The simulation results show that this approach achieves 22% of complexity reduction for 2×2 and 50% for 4×4 MIMO systems without any degradation in the performance.
State Space-Based Method for the DOA Estimation by the Forward-Backward Data Matrix Using Small Snapshots
Authors: Liu Jianfeng 
Published: September 2017

Abstract
In this presentation, a new low computational burden method for the direction of arrival (DOA) estimation from noisy signal using small snapshots is presented. The approach introduces State Space-based Method (SSM) to represent the received array signal, and uses small snapshots directly to form the Hankel data matrix. Those Hankel data matrices are then utilized to construct forward-backward data matrix that is used to estimate the state space model parameters from which the DOA of the incident signals can be extracted. In contrast to existing methods, such as MUSIC, Root-MUSIC that use the covariance data matrix to estimate the DOA and the sparse representation (SR) based DOA which is obtained by solving the sparsest representation of the snapshots, the SSM algorithm employs forward-backward data matrix formed only using small snapshots and doesn't need additional spatial smoothing method to process coherent signals. Three numerical experiments are employed to compare the performance among the SSM, Root-MUSIC and SR-based method as well as Cramér-Rao bound (CRB). The simulation results demonstrate that when a small number of snapshots, even a single one, are used, the SSM always performs better than the other two method no matter under the circumstance of uncorrelated or correlated signal. The simulation results also show that the computational burden is reduced significantly and the number of antenna elements is saved greatly.
Feasibility of FPGA to HPC computation migration of plasma impurities diagnostic algorithms
Authors: Linczuk Pawel , Krawczyk Rafal D. , Zabolotny Wojciech , Wojenski Andrzej , Kolasinski Piotr , Pozniak Krzysztof T. , Kasprowicz Grzegorz , Chernyshova Maryna , Czarski Tomasz 
Published: September 2017

AbstractWe present a feasibility study of fast events parameters estimation algorithms regarding their execution time. It is the first stage of procedure used on data gathered from gas electron multiplier (GEM) detector for diagnostic of plasma impurities. Measured execution times are estimates of achievable times for future and more complex algorithms. The work covers usage of Intel Xeon and Intel Xeon Phi - high-performance computing (HPC) devices as a possible replacement for FPGA with highlighted advantages and disadvantages. Results show that less than 10 ms feedback loop can be obtained with the usage of 25% hardware resources in Intel Xeon or 10% resources in Intel Xeon Phi which leaves space for future increase of algorithms complexity. Moreover, this work contains a simplified overview of basic problems in actual measurement systems for diagnostic of plasma impurities, and emerging trends in developed solutions.
An Efficient Data Transmission in VANET Using Clustering Method
Authors: Evangeline C. Suganthi , Appu S. 
Published: September 2017

Abstract
A special type of Mobile Ad-hoc Networks (MANETs) which has frequent changes of topology and higher mobility is known as Vehicular Ad-hoc Networks (VANETs). In order to divide the network into groups of mobile vehicles and improve routing, data gathering, clustering is applied in VANETs. A stable clustering scheme based on adaptive multiple metric combining both the features of static and dynamic clustering methods is proposed in this work. Based on a new multiple metric method, a cluster head is selected among the cluster members which is taken from the mobility metrics such as position and time to leave the road segment, relative speed and Quality of Service metrics which includes neighborhood degree, link quality of the RSU and bandwidth. A higher QoS and cluster stability are achieved through the adaptive multiple metric. The results are simulated using NS2 and shows that this technique provides more stable cluster structured with the other methods.
Prion disease and endoplasmic reticulum stress pathway correlations and treatment pursuits
Authors: Satterfield Tarah , Pritchett Jessica , Cruz Sarah , Kemp Kyeorda 
Published: September 2017

AbstractBackground: Transmissible spongiform encephalopathies are a collection of rare neurodegenerative disorders characterized by loss of neuronal cells, astrocytosis, and plaque formation. The causative agent of these diseases is thought to be abnormally folded prions and is characterized by a conformational change from normal, cellular prion protein (PrPc) to the abnormal form (PrPTSE). Although, there is evidence that normal prion protein can contribute to these disorders. The unfolded protein response, a conserved series of pathways involved in resolving stress associated with unfolded protein accumulation in the Endoplasmic Reticulum (ER), has been shown to play a role in regulating the development of prion diseases. Methods: This review chose papers based on their relevance to current studies involved in prion protein synthesis and transformation, identifies various links between prion diseases and ER stress, and reports on current and potential treatments as they relate to ER stress and prion diseases. Conclusion: For the advancement of prion disease treatment, it is important to understand the mechanisms involved in prion formation, and ER stress is implicated in prion disease progression. Therefore, targeting the ER or pathways involved in response to stress in the ER may help us treat prion diseases.
Carbon stock in aboveground biomass of vegetation at the High Tatra Mts. twelve years after disturbance
Authors: Konôpka Bohdan , Pajtík Jozef , Máliš František , Šebeň Vladimír , Maľová Miriam 
Published: September 2017

AbstractThe paper focused on the estimation of aboveground biomass and its carbon stock in the vegetation cover on the territory of the High Tatras twelve years after a large-scale wind disturbance. Besides biomass quantification of main plant groups (i.e. trees and ground vegetation) we considered plant components with special regard to carbon rotation rate. The measurements were performed on two transects each containing 25 plots sized 4 × 4 m. Height and stem diameter of all trees on the plots were measured and used for biomass estimation. To quantify the biomass of ground vegetation, six subplots sized 20 × 20 cm were systematically placed on each plot and the aboveground biomass was harvested. The plant material was subjected to chemical analyses to quantify its carbon concentration. The study showed that while the wind disturbance caused dramatic decrease of carbon stock, young post-disturbance stands with abundant ground vegetation, represented large carbon flux via litter fall. Twelve years after the wind disturbance, the trees contributed to carbon stock more than the ground vegetation. However, the opposite situation was recorded for the carbon flux to litter that was related to the dominance of annual plants in the above-ground biomass of ground vegetation. The carbon stock in the biomass of young trees and ground vegetation represented about 8,000 kg per ha. The young stands manifested a dynamic growth, specifically the aboveground biomass increased annually by one third. The results confirmed different carbon regimes in the former old (pre-disturbance) and sparse young (post-disturbance) stands.
Seasonal dynamics of arginine ammonification in forest soils of Norway spruce pure stands under different silvicultural practices
Authors: Holik Ladislav , Kučera Aleš , Rejšek Klement , Vranová Valerie 
Published: September 2017

Abstract
Effects of seasonal dynamics and silvicultural practice on ammonification of arginine, one of the proteinogenic amino acids, were assessed in surface organic H-horizon of three Norway spruce pure stands in medium altitudes (600 - 660 m a.s.l.). Contents of ammonium ions NH4
+ measured monthly in the field and contents of NH4
+ after laboratory incubation of these samples with arginine were taken as dependent variables in ANOVA and in linear regression model using generalised linear model. The aim of the analyses was to determine the significance of decomposition of this amino acid in H-horizon of forest soils and to determine categorical and continuous predictors which influence intensity of the ammonification. Laboratory experiments confirmed its close link to seasonal dynamics, as well as to forest management; however the last mentioned was firstly found as less significant when compared within whole season. As regards to seasonal dynamics in forest soils, the highest amount of ammonium ion was released in May and the lowest in July. As regards to the silvicultural practice applied, more ammonium ion was released under mature spruce monoculture, especially in August and May; in the young stands, the method of thinning had no effect on the ammonium ion release. However, the arginine ammonification was found to be influenced by ammonium nitrogen content (slight, less significant negative correlation) and by soil water content (stronger positive significance), especially in the stand with thinning from below. This was concluded to be caused by changes in stand microclimate in function of the silvicultural practice.
Quantifying carbon in dead and living trees; a case study in young beech and spruce stand over 9 years
Authors: Šebeň Vladimír , Konôpka Bohdan , Pajtík Jozef 
Published: September 2017

AbstractIn Slovakia, the contribution of young stands to the total forest area has been increasing in the last decade. However, scientific attention to these stands was previously very sparse and they were usually not included in local and country carbon stock estimates. Therefore, we focused on the calculation of tree biomass and necromass in young beech and spruce stands as well as on their development during the period of nine years (aged from 4 to 12 years). For the calculation, we implemented allometric equations using tree diameter and height as independent variables. The results showed very dynamic changes in biomass (carbon) stock. Specifically, tree biomass increased in the period of 9 years from about 2,000 g to 15,000 g (i.e. cca 1,000 to 7,500 g of carbon) per m2in beech, and from 4,500 to 12,000 g (cca 2,300 to 6,000 g of carbon) per m2 in the spruce stand. At the same time, the amount of biomass (fixed carbon) was only slightly larger than the accumulated quantity of necromass (carbon loss from living trees). It means that a large portion of carbon was allocated to necromass. We found that not only the foliage fall but also the mass of dead trees, a result of intensive competition, was an important path of carbon flux to necromass. The results proved that although young forests fix much less carbon in their biomass than old stands, they can represent large carbon flux via annual increment of necromass. This indicates that young stands should not be omitted in forest carbon balance estimates of the country.
Carbon stocks in tree biomass and soils of German forests
Authors: Wellbrock Nicole , Grüneberg Erik , Riedel Thomas , Polley Heino 
Published: September 2017

Abstract
Close to one third of Germany is forested. Forests are able to store significant quantities of carbon (C) in the biomass and in the soil. Coordinated by the Thünen Institute, the German National Forest Inventory (NFI) and the National Forest Soil Inventory (NFSI) have generated data to estimate the carbon storage capacity of forests. The second NFI started in 2002 and had been repeated in 2012. The reporting time for the NFSI was 1990 to 2006. Living forest biomass, deadwood, litter and soils up to a depth of 90 cm have stored 2500 t of carbon within the reporting time. Over all 224 t C ha-1 in aboveground and belowground biomass, deadwood and soil are stored in forests. Specifically, 46% stored in above-ground and below-ground biomass, 1% in dead wood and 53% in the organic layer together with soil up to 90 cm. Carbon stocks in mineral soils up to 30 cm mineral soil increase about 0.4 t C ha-1 yr-1 stocks between the inventories while the carbon pool in the organic layers declined slightly. In the living biomass carbon stocks increased about 1.0 t C ha-1 yr-1. In Germany, approximately 58 mill. tonnes of CO2 were sequestered in 2012 (NIR 2017).