bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rapid and sustained homeostatic control of presynaptic exocytosis at a central synapse
Authors: Delvendahl Igor , Kita Katarzyna , Müller Martin 
Published: November 2019

Significance
Homeostatic mechanisms stabilize neural activity, and there are genetic links between homeostatic plasticity and neural disease. While homeostatic plasticity in the central nervous system (CNS) operates on relatively slow time scales of hours to days, activity-dependent forms of synaptic plasticity alter neural activity on much faster time scales. It is unclear if homeostatic plasticity stabilizes CNS synapses on rapid time scales. Here, we uncovered that cerebellar synapses stabilize transmission within minutes upon activity perturbation. This is achieved through homeostatic control of presynaptic exocytosis. We show that synergistic modulation of distinct presynaptic mechanisms not only maintains synaptic efficacy on rapid, but also on prolonged time scales. Homeostatic control of presynaptic exocytosis may be a general mechanism for stabilizing CNS function.
GLOW
Authors: Bennis Hans 
Published: November 2019

Abstract
During the first years of my carreer in linguistics, the yearly
GLOW-Colloquium was an important event and Dutch linguistics participated in
this conference quite substantially. It symbolized the prominent position of
theoretical, generative linguistics in the Netherlands in the last decades of
the 20th century. The rise of theoretical linguistics cooccurred with my own
carreer as a syntactician. In this contribution I compare my experiences of the
early days of GLOW with the present state of theoretical linguistics in the
Netherlands.
A filter for syntactically incomparable parallel
sentences
Authors: Kroon Martin , Barbiers Sjef , Odijk Jan , van der Pas Stéphanie 
Published: November 2019

Abstract
Massive automatic comparison of languages in parallel corpora
will greatly speed up and enhance comparative syntactic research. Automatically
extracting and mining syntactic differences from parallel corpora requires a
pre-processing step that filters out sentence pairs that cannot be compared
syntactically, for example because they involve “free” translations. In this
paper we explore four possible filters: the Damerau-Levenshtein distance between
POS-tags, the sentence-length ratio, the graph-edit distance between dependency
parses, and a combination of the three in a logistic regression model. Results
suggest that the dependency-parse filter is the most stable throughout language
pairs, while the combination filter achieves the best results.
Written feedback in heritage Spanish classrooms
Authors: Mikulski Ariana M. , Elola Idoia , Padial Ana , Berry Grant M. 
Published: November 2019

Abstract
Although feedback is a well-established and widespread technique in L1 and L2 writing, little is known about
written feedback practices in Spanish heritage language (SHL) classrooms. This study examines how written feedback is used in SHL
courses across the United States. Professors, instructors, graduate teaching assistants, program directors, and students who had
taught, directed, or taken an SHL course completed online questionnaires about instructional practices and their perceptions of
the feedback provided on writing assignments. Both instructors and students reported that written comments, correction codes,
circles/underlines, and correct forms were frequently provided. Instructors indicated the most challenges when providing feedback
on organization, grammar, and orthography. Nevertheless, students reported that every kind of feedback that they received was
useful and comprehensible. Although further exploration of writing in the SHL classroom is needed to more concretely delineate
best practices, the current findings suggest that several effective feedback practices are already in place.
Beating the repeaterless bound with adaptive measurement-device-independent quantum key distribution
Authors: Trényi Róbert , Azuma Koji , Curty Marcos 
Published: November 2019

Abstract
Surpassing the repeaterless bound is a crucial task on the way towards realizing long-distance quantum key distribution. In this paper, we focus on the protocol proposed by Azuma et al (2015 Nat. Commun.
6 10171), which can beat this bound with idealized devices. We investigate the robustness of this protocol against imperfections in realistic setups, particularly the multiple-photon pair components emitted by practical entanglement sources. In doing so, we derive necessary conditions on the photon-number statistics of the sources in order to beat the repeaterless bound. We show, for instance, that parametric down-conversion sources do not satisfy the required conditions and thus cannot be used to outperform this bound.
Research on the Quality Assurance Path of Academic Gradaute Education
Authors: Wu Zenghai , Yang Jin , Liu Chang , Yin Beijie 
Published: November 2019

Abstract
The study investigates the effect of tutor guidance, student maturity and university research environment on the quality assurance of the academic graduate education. A structural equation model was developed for an empirical test, based on teaching experience and Situational Leadership theory. A sample of 150 academic postgraduates in Shaanxi Province participated in the experiment. The results show: (1) All three factors are positively related to the quality of academic postgraduate education. (2) The guidance mode mostly affects the effect of the tutor guidance. (3) Among three elements of student maturity, the contribution of scientific attitude is the highest. (4) Compared with infrastructure, the institutional system and campus culture can more effectively represent the research environment of a university. In order to effectively guarantee the quality of academic graduate education, the three main bodies, universities, tutors and postgraduates, must have a joint effort.
Research on the Wireless Video Surveillance System Based on Linux
Authors: Liu Xiao-jun , Wen Hong-yuan , Zhou Xiang-zhen , Xu Di 
Published: November 2019

Abstract
With the new development of embedded technology, image compression and wireless transmission technology, wireless video surveillance system based on embedded system has become the tendency of development in the field of video surveillance. This paper combines the character of embedded system with wireless transmission technology, researches and designs a solution of wireless video surveillance system based on Linux. The embedded video surveillance system uses C/S framework. The server based on ARM11 and Linux is designed to process video image including capture, preview, compression and transmission. The PC as a client is built to receive, decode, display and setup the video.
Decolorization of synthetic textile dyes by laccase from newly isolated Trametes hirsuta EDN084 mediated by violuric acid
Authors: Yanto D H Y , Auliana N , Anita S H , Watanabe T 
Published: November 2019

Abstract
Decolorization of synthetic dyes by laccase produced from newly isolated Trametes hirsuta EDN084 under in-vitro condition was investigated in this study. Partial purification was conducted using ultrafiltration Amicon 10K at 5000 x g for 20 min. Laccase (0.1 U/mL) could decolorize 50% remazol brilliant blue R (RBBR), 47% reactive blue 4 (RBlue4), 51% acid blue 129 (AB129), 21% acid blue 25 (AB25), 40% acid blue 113 (AB113), 11% acid orange 7 (AO7), 2% reactive black 5 (RBlack5), 2% reactive red 120 (RR120), and 85% direct blue 71 (DBlue71) for 4 h. In order to improve the decolorization, the addition of violuric acid (VA), 2, 2, 6, 6-tetramethylpiperidine 1-oxyl (TEMPO), and 1-hydroxybenzotriazole (HBT) were individually assayed. The result showed that decolorization was improved significantly (2 to 30-fold) after the addition of 1 mM VA. This study suggests that mediator VA is suitable for the enhanced decolorization of synthetic dyes by laccase from T. hirsuta EDN084.
Biological activity of local plant extracts from Toba Region as insecticide
Authors: Meisyara D , Krishanti N P R A , Zulfitri A , Lestari A S , Tarmadi D , Himmi S K , Amin Y , Zulfiana D , Fajar A , Yusuf S , Ismayati M 
Published: November 2019

Abstract
Toba, North Sumatera is famous not only for its tourism destination but also for biodiversity. The aim of this research is to explore the potency of the local plant from Toba as bioinsecticide. Six local plant samples, which consists of genus Compositae, Meliaceae, Staphyleaceae, and Actinidiaceae, were obtained from the Toba region,. The macerated extracts were tested their insecticidal activity against Coptotermes gestroi and Spodoptera litura. Bioassay results showed that leaves extract of Ingul (Toona sinensis) at a concentration of 10% (w/v) had the highest mortality effect against Coptotermes gestroi on the tenth day of observation. Whereas, leaves extracts of Pirdot (Saurauia bracteosa), Ingul (Toona sinensis), and Haurese (Azadirachta indica) at the concentration of 1% (w/v) showed the best insecticidal effect with 80% mortality percentage respectively against Spodoptera litura in 4 hours of observation.
Medicinal plant inventory using GIS and GPS in Garunggang Village, Kuala Sub-District, Langkat District, North Sumatra
Authors: Rahmawaty  , Amalia R , Rauf A , Batubara R 
Published: November 2019

Abstract
One of the villages around Taman Nasional Gunung Leuser which has long used the plant for medicine is Garunggang Village. This village is located in Kuala Sub-District, Langkat District, North Sumatra Province, Indonesia. This study aimed to identify the medicinal plants (herbs) in the agroforestry which stands in Garunggang Village. This research was conducted from February to May 2018. The survey method was used by making fourteen plots in the field. A global positioning system (GPS) was used to record the coordinate points of medicinal plants, and a geographic information system (GIS) was used to analyze the distribution of the medicinal plants. The results showed that there were thirty-seven species with the total of 268 individuals plant found. Senduduk Bulu (Clidemia hirta) was the dominant plant found (sixty-one individual plants) followed by Lengkuas (Alpinia galangal) (twenty-seven individual plants) and Kuning Gajah (Maranta arundinacea) (sixteen individual plants). The information about medicinal plant species is essential. Therefore, it is necessary to develop information of medicinal plant so as to preserve the existing species of plants and to enrich the species of medicinal plants which are not found especially in Garunggang Village.
Dendeng of cured duck meat in curcumin extract with added STPP, reviewed from chemical quality
Authors: Dewi S H C , Wariyah C , Astuti N 
Published: November 2019

Abstract
The duck meat used in this study is duck meat obtained from unproductive female ducks having low tenderness and high-fat content. Curing with turmeric curcumin extract and adding STPP are ways to reduce fat and increase tenderness. Minced meat is one of the processed meat products traditionally made from ground meat plus palm sugar and other spices. Dendeng is popular in the community and is popular with young people as side dishes. The purpose of this study was to determine the chemical quality of “Dendeng” duck meat curing in the curcumin extract and the addition of STPP. The design used was a completely randomized design with a factorial pattern of 3x2, factor A (Sodium Tripolyphosphate 0%, 0.1%, and 0.2%), and factor B (Curing duck meat with curcumin 0.3 and 0.4%). The Variables observed were water content, fat content, and WHC. The data obtained were analyzed by analysis of variance (ANOVA), if there were significant differences between treatments then proceed with a real difference test of Duncan’s Multiple Range Test (DMRT). The results showed that there was an effect of adding Sodium Tripolyphosphate to WHC “Dendeng” duck meat. While the fat and water content are not affected by the addition of Sodium Tripolyphosphat, curcumin extract, and its interactions. It can be concluded that the curing with turmeric curcumin extract can be used up to 0.4% and the addition of 0.2% Sodium Tripolyphosphate is the best in terms of chemical quality.
Classification of left and right foot kinaesthetic motor imagery using common spatial pattern
Authors: Tariq Madiha , Trivailo Pavel M , Simic Milan 
Published: November 2019

Abstract

Background and objectives: Brain-computer interface (BCI) systems typically deploy common spatial pattern (CSP) for feature extraction of mu and beta rhythms based on upper-limbs kinaesthetic motor imageries (KMI). However, it was not used to classify the left versus right foot KMI, due to its location inside the mesial wall of sensorimotor cortex, which makes it difficult to be detected. We report novel classification of mu and beta EEG features, during left and right foot KMI cognitive task, using CSP, and filter bank common spatial pattern (FBCSP) method, to optimize the subject-specific band selection. We initially proposed CSP method, followed by the implementation of FBCSP for optimization of individual spatial patterns, wherein a set of CSP filters was learned, for each of the time/frequency filters in a supervised way. This was followed by the log-variance feature extraction and concatenation of all features (over all chosen spectral-filters). Subsequently, supervised machine learning was implemented, i.e. logistic regression (Logreg) and linear discriminant analysis (LDA), in order to compare the respective foot KMI classification rates. Training and testing data, used in the model, was validated using 10-fold cross validation. Four methodology paradigms are reported, i.e. CSP LDA, CSP Logreg, and FBCSP LDA, FBCSP Logreg. All paradigms resulted in an average classification accuracy rate above the statistical chance level of 60.0% (P < 0.01). On average, FBCSP LDA outperformed remaining paradigms with kappa score of 0.41 and classification accuracy of 70.28% ± 4.23. Similarly, this paradigm enabled discrimination between right and left foot KMI cognitive task at highest accuracy rate i.e. maximum 77.5% with kappa = 0.55 and the area under ROC curve as 0.70 (in single-trial analysis). The proposed novel paradigms, using CSP and FBCSP, established a potential to exploit the left versus right foot imagery classification, in synchronous 2-class BCI for controlling robotic foot, or foot neuroprosthesis.
Entropy stability analysis of smoothed dissipative particle dynamics
Authors: Tsuzuki Satori 
Published: November 2019

Abstract
This article presents an entropy stability analysis of smoothed dissipative particle dynamics (SDPD) to review the validity of particle discretization of entropy equations. First, we consider the simplest SDPD system: a simulation of incompressible flows using an explicit time integration scheme, assuming a quasi-static scenario with constant volume, constant number of particles, and infinitesimal time shift. Next, we derive a form of entropy from the discretized entropy equation of SDPD by integrating it with respect to time. We then examine the properties of a two-particle system for a constant temperature gradient. Interestingly, our theoretical analysis suggests that there exist eight different types of entropy stability conditions, which depend on the types of kernel functions. It is found that the Lucy kernel, poly6 kernel, and spiky kernel produce the same types of entropy stability conditions, whereas the spline kernel produces different types of entropy stability conditions. Our results contribute to a deeper understanding of particle discretization.
HiCBricks: building blocks for efficient handling of large Hi-C datasets
Authors: Pal Koustav , Tagliaferri Ilario , Livi Carmen Maria , Ferrari Francesco 
Published: November 2019

Abstract

Summary
Genome-wide chromosome conformation capture based on high-throughput sequencing (Hi-C) has been widely adopted to study chromatin architecture by generating datasets of ever-increasing complexity and size. HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides an R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms. HiCBricks already incorporates functions for calling domain boundaries and functions for high-quality data visualization.

Availability and implementation
http://bioconductor.org/packages/devel/bioc/html/HiCBricks.html.

Supplementary information
Supplementary data are available at Bioinformatics online.
Beyond Re-enchantment: Christian Materialism and Modern Medicine
Authors: Vest Matthew 
Published: November 2019

Abstract
This article explores enchantment, disenchantment, and re-enchantment in reference to modern medicine’s view of the body. Before considering Weber’s enchantment paradigm, I question some core assumptions regarding sociology as methodologically scientific and value-free. Furthermore, I draw on Jenkins who helps to illustrate the difficulty of rooting terms such as enchantment, disenchantment, and re-enchantment; the question remains “which” historical and cultural period is employed as the basis for such sociological terms. Such questions are critical, but not entirely dismissive of modern medicine as “disenchanted”; with some more explicit foundational and presuppositional context, disenchantment can be a helpful notion for approaching questions of the “new body.” St. Gregory Palamas’ Christian materialism and mystical anthropology present such an explicit foundation. Moreover, this Patristic foundation moves past the postmodern aporia of emphasizing either immanence or transcendence—two polar attractions that factor heavily in the way modern medicine views the body.
Driving Route Recommendation With Profit Maximization in Ride Sharing
Authors: Huang Longji , Huang Jianbin , Xu Yueshen , Zhao Zhiqiang , Zhang Zhenghao 
Published: November 2019

AbstractDue to the positive impact of ride sharing on urban traffic and environment, it has attracted a lot of research attention recently. However, most existing researches focused on the profit maximization or the itinerary minimization of drivers, only rare work has covered on adjustable price function and matching algorithm for the batch requests. In this paper, we propose a request matching algorithm and an adjustable price function that benefits drivers as well as passengers. Our request-matching algorithm consists of an exact search algorithm and a group search algorithm. The exact search algorithm consists of three steps. The first step is to prune some invalid groups according to the total number of passengers and the capacity of vehicles. The second step is to filter out all candidate groups according to the compatibility of requests in same group. The third step is to obtain the most profitable group by the adjustable price function, and recommend the most profitable group to drivers. In order to enhance the efficiency of the exact search algorithm, we further design an improved group search algorithm based on the idea of original simulated annealing. Extensive experimental results show that our method can improve the income of drivers, and reduce the expense of passengers. Meanwhile, ride sharing can also keep the utilization rate of seats 80%, driving distance is reduced by 30%.
Hepatitis C Virus Infection in Indigenous Populations in the United States and Canada
Authors: Bruce Veronica , Eldredge Jonathan , Leyva Yuridia , Mera Jorge , English Kevin , Page Kimberly 
Published: November 2019

Abstract
American Indian/Alaska Native (AI/AN) and Canadian Indigenous people are disproportionally affected by hepatitis C virus (HCV) infection yet are frequently underrepresented in epidemiologic studies and surveys often used to inform public health efforts. We performed a systematic review of published and unpublished literature and summarized our findings on HCV prevalence in these Indigenous populations. We found a disparity of epidemiologic literature of HCV prevalence among AI/AN in the United States and Indigenous people in Canada. The limited data available, which date from 1995, demonstrate a wide range of HCV prevalence in AI/AN (1.49%–67.60%) and Indigenous populations (2.28%–90.24%). The highest HCV prevalence in both countries was reported in studies that either included or specifically targeted people who inject drugs. Lower prevalence was reported in studies of general Indigenous populations, although in Canada, the lowest prevalence was up to 3-fold higher in Aboriginal people compared with general population estimates. The disparity of available data on HCV prevalence and need for consistent and enhanced HCV surveillance and reporting among Indigenous people are highlighted. HCV affects Indigenous peoples to a greater degree than the general population; thus we recommend tribal and community leaders be engaged in enhanced surveillance efforts and that funds benefitting all Indigenous persons be expanded to help prevent and cover health care expenses to help stop this epidemic.
A Growth and Yield Model for Eucalyptus benthamii in the Southeastern United States
Authors: Hall Kevin B , Stape Jl , Bullock Bronson P , Frederick Doug , Wright Jeff , Scolforo Henrique F , Cook Rachel 
Published: November 2019

AbstractIn recent Eucalyptus cold-tolerance trials, E. benthamii has shown good growth rates as well as cold tolerance for USDA Plant Hardiness Zones 8 and 9. This study developed growth and yield models for E. benthamii in the southeastern United States. A network of 182 temporary sample plots of E. benthamii ranging in age from 1.5 to 13.3 years was established, and inventory data were collected. Site quality was determined by fitting a polymorphic site index curve, whereas a function for stand basal area based on age, dominant height, and site occupancy was fitted. Stand-level volume and dry-weight biomass prediction equations were fitted as a function of dominant height and basal area. Based on the growth and yield model results, mean annual increments ranged from 26.4 m3 ha–1 year–1 at rotation age 6 years on the best sites to 13.7 m3 ha–1 year–1 at rotation age 10 years on the poorest sites. This is the first published set of management-oriented models for land managers considering planting E. benthamii in the southeastern United States.
Two perspectives of Listeria monocytogenes hazards in dairy products: the prevalence and the antibiotic resistance
Authors: Ulusoy Beyza H , Chirkena Kefyalew 
Published: November 2019

AbstractListeria monocytogenes is among the most food-borne pathogens. It has the ability to grow over a range of temperature, including refrigeration temperature. Foods kept in refrigerator more than the prescribed period of time create an opportunity for the occurrence of Listeria monocytogenes. As this review shows, the prevalence of L. monocytogenes has more likely evident in pasteurized milk than other dairy products, such as raw milk. Inadequate temperature and faults in technology during pasteurization can be the disposing factors for the presence of the organism in dairy products. The organism, on the other hand, has been found to be resistant to those commonly known antibiotics that have human and veterinary importance, namely, ampicillin, Tetracycline, and chloramphenicol, streptomycin, erytromycin, penicillin G., and others. Resistance ability of the organism can be mediated by different natural and acquired resistance mechanisms, such as self-transferrable plasmids, mobilizable plasmids, and conjugative transposons. The emergence and spread of antibiotic resistance of L. monocytogenes has serious public health and economic impacts at large. This paper has reviewed the prevalence and the antibiotic resistance of L. monocytogenes isolates of dairy products and the strategic mechanisms of the organism develop resistance against the antibiotics.