bluuebunny/crossref_metadata_2025_split huggingface dataset:
“What Is Computer-Mediated Communication?”—An Introduction to the Special Issue
Authors: Yao Mike Z , Ling Rich 
Published: October 2019

Abstract
At a time when nearly all social activities could be, and likely are, mediated in some ways by some forms of computing technology, what should be the focus of CMC research? How do we theorize and study computer-mediated (or should we say digitally-mediated) communication when the topics of our research—the technology, the concepts and processes of mediation, our sense of what constitutes communication, as well as the theories and methods used to examine these—are all in flux? Early in the spring of 2018, the Journal of Computer-Mediated Communication invited scholars to submit ideas for a dedicated issue to consider these questions. The collection of meta-theoretical discussions, literature reviews/analyses, and concept explications included in this special issue will point to a general direction and offer a launching point for theory construction and systematic research in a continuously evolving field.
Missing data imputation over academic records of electrical engineering students
Authors: Jove Esteban , Blanco-Rodríguez Patricia , Casteleiro-Roca José-Luis , Quintián Héctor , Moreno Arboleda Francisco Javier , LóPez-Vázquez José Antonio , Rodríguez-Gómez Benigno Antonio , Meizoso-López María Del Carmen , Piñón-Pazos Andrés , De Cos Juez Francisco Javier , Cho Sung-Bae , Calvo-Rolle José Luis 
Published: October 2019

Abstract
Nowadays, the quality standards of higher education institutions pay special attention to the performance and evaluation of the students. Then, having a complete academic record of each student, such as number of attempts, average grade and so on, plays a key role. In this context, the existence of missing data, which can happen for different reasons, leads to affect adversely interesting future analysis. Therefore, the use of imputation techniques is presented as a helpful tool to estimate the value of missing data. This work deals with the academic records of engineering students, in which imputation techniques are applied. More specifically, it is assessed and compared to the performance of the multivariate imputation by chained equations methodology, the adaptive assignation algorithm (AAA) based on multivariate adaptive regression splines and a hybridization based on self-organisation maps with Mahalanobis distances and AAA algorithm. The results show that proposed methods obtain successfully results regardless the number of missing values, in general terms.
Spatial ecology of the giant armadillo Priodontes maximus in Midwestern Brazil
Authors: Desbiez A L J , Kluyber D , Massocato G F , Oliveira-Santos L G R , Attias N 
Published: October 2019

AbstractThe giant armadillo (Priodontes maximus) is the largest living armadillo. This naturally rare and poorly known species is endemic to South America and classified as “Vulnerable” by the IUCN. Here we explored aspects of the spatial ecology of P. maximus in Midwestern Brazil to gain insights on its ecology and biology to support conservation efforts. In 8 years, we identified 50 individuals of P. maximus and monitored 23 of them using telemetry methods. To characterize site fidelity and home range, we fitted individual continuous-time movement models and estimated Autocorrelated Kernel Density Estimates. We built a Structural Equation Model to evaluate how home-range area and daily displacement are related to each other, to sampling effort, and to individual characteristics. We estimated home-range overlap between pairs of different sexes using a bias-corrected Bhattacharyya coefficient. Finally, we formulated a canonical density estimation formula to characterize minimum population density. We gathered a total of 12,168 locations of P. maximus. The best-fitted movement models indicated site fidelity for all individuals and a median adult home-range area of 2,518 ha. Median adult daily displacement was 1,651 m. Home-range area scales positively with daily displacement and daily displacement scales positively with body mass. Median home-range overlap between pairs was low (4%) and adult females presented exclusive home ranges among themselves. Median minimum density was 7.65 individuals per 100 km2 (CI = 5.68–10.19 ind/100 km2). Our results are congruent with characterizing P. maximus as a generally asocial species, most likely promiscuous/polygynous, that establishes large, long-term home ranges, which grants the population a naturally low density. Spatial patterns and biological characteristics obtained in this study can be used to guide future conservation strategies for P. maximus in the Pantanal wetlands and elsewhere.
Inter- and intraspecific vigilance patterns of two sympatric Tibetan ungulates
Authors: Luo Yunchao , Wang Lin , Yang Le , Wang Xinxin , Tan Ming , Li Zhongqiu 
Published: October 2019

Abstract
Vigilance is an important antipredation technique that can be affected by many factors, such as body size and group size. Small animals are more vulnerable than large ones, so the former are expected to behave more vigilantly than the latter. This effect of body size on vigilance may occur inter- or intraspecifically. We studied the vigilance behavior of two sympatric wild ungulates, Tibetan antelopes (Pantholops hodgsonii) and Tibetan gazelles (Procapra picticaudata). Tibetan antelopes, with a body size of 33 kg are much larger than Tibetan gazelles, with a body size of approximately 14 kg. Tibetan antelopes are sexually and body-size dimorphic; that is, males are much heavier than females. Alternately, Tibetan gazelles are sexually dimorphic but the sexes do not differ in weight. Tibetan gazelles scanned their environment more frequently than Tibetan antelopes did. Small female Tibetan antelopes scanned their environment more frequently than males did, whereas male Tibetan gazelles scanned their environment more frequently than females did. Group size did not affect the vigilance of Tibetan gazelle, but its negative effect on the vigilance of male Tibetan antelopes was marginally significant. In female Tibetan antelopes, vigilance in large groups was high probably because of scramble competition and social monitoring. Our results suggested that body mass and group size play an important role in shaping the vigilance of these two rare Tibetan ungulates.
Operative management of cholecystogastric fistula: case report and literature review
Authors: Aamery Amaar , Pujji Ojas , Mirza Muhammad 
Published: October 2019

Abstract
We present a patient who was managed surgically for cholecystogastric fistula. The patient was presented with nonspecific symptoms (upper abdominal pain, belching) and, after being investigated, was proceeded for laparoscopic cholecystectomy for gallbladder stones. Unexpectedly, intraoperative, she was found to have cholecystogastric fistula, which was operated with open single-stage approach. We highlight the incidence of these cases, the difficult preoperative clinical presentation and possible diagnostic imaging; explain further about the different surgical approaches to manage these cases and finally review the literature regarding the presentation and the management of bilioenteric fistulas.
Linking fundamental science to crop improvement through understanding source and sink traits and their integration for yield enhancement
Authors: Paul Matthew J , Watson Amy , Griffiths Cara A 
Published: October 2019

AbstractUnderstanding processes in sources and sinks that contribute to crop yields has taken years of painstaking research. For crop yield improvement, processes need to be understood as standalone mechanisms in addition to how these mechanisms perform at the crop level; currently there is often a chasm between the two. Fundamental mechanisms need to be considered in the context of crop ideotypes and the agricultural environment which is often more water limited than carbon limited. Different approaches for improvement should be considered, namely is there genetic variation? Or if not, could genetic modification, genome editing, or alternative approaches be utilized? Currently, there are few examples where genetic modification has improved intrinsic yield in the field for commercial application in a major crop. Genome editing, particularly of negative yield regulators as a first step, is providing new opportunities. Here we highlight key mechanisms in source and sink, arguing that for large yield increases integration of key processes is likely to produce the biggest successes within the framework of crop ideotypes with optimized phenology. We highlight a plethora of recent papers that show breakthroughs in fundamental science and the promise of the trehalose 6-phosphate signalling pathway, which regulates carbohydrate allocation which is key for many crop traits.
Galaxy–Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets
Authors: Speagle Joshua S , Leauthaud Alexie , Huang Song , Bradshaw Christopher P , Ardila Felipe , Capak Peter L , Eisenstein Daniel J , Masters Daniel C , Mandelbaum Rachel , More Surhud , Simet Melanie , Sifón Cristóbal 
Published: October 2019

ABSTRACT
Although photometric redshifts (photo-z’s) are crucial ingredients for current and upcoming large-scale surveys, the high-quality spectroscopic redshifts currently available to train, validate, and test them are substantially non-representative in both magnitude and colour. We investigate the nature and structure of this bias by tracking how objects from a heterogeneous training sample contribute to photo-z predictions as a function of magnitude and colour, and illustrate that the underlying redshift distribution at fixed colour can evolve strongly as a function of magnitude. We then test the robustness of the galaxy–galaxy lensing signal in 120 deg2 of HSC–SSP DR1 data to spectroscopic completeness and photo-z biases, and find that their impacts are sub-dominant to current statistical uncertainties. Our methodology provides a framework to investigate how spectroscopic incompleteness can impact photo-z-based weak lensing predictions in future surveys such as LSST and WFIRST.
The Gran Telescopio Canarias OSIRIS broad-band first data release
Authors: Cortés-Contreras M , Bouy H , Solano E , Mahlke M , Jiménez-Esteban F , Alacid J M , Rodrigo C 
Published: October 2019

ABSTRACT
We present the first release of GTC OSIRIS broad-band data archive. This is an effort conducted in the framework of the Spanish Virtual Observatory to help optimize science from the Gran Telescopio Canarias Archive. Data Release 1 includes 6788 broad-band images in the Sloan griz filters obtained between 2009 April and 2014 January and the associated catalogue with roughly 6.23 million detections of more than 630 000 unique sources. The catalogue contains standard PSF and Kron aperture photometry with a mean accuracy better than 0.09 and 0.15 mag, respectively. The relative astrometric residuals are always better than 30 mas and better than 15 mas in most cases. The absolute astrometric uncertainty of the catalogue is of 0.12 arcsec. In this paper we describe the procedure followed to build the image archive and the associated catalogue, as well as the quality tests carried out for validation. To illustrate some of the scientific potential of the catalogue, we also provide two examples of its scientific exploitation: discovery and identification of asteroids and cool dwarfs.
Galaxy morphological classification in deep-wide surveys via unsupervised machine learning
Authors: Martin G , Kaviraj S , Hocking A , Read S C , Geach J E 
Published: October 2019

ABSTRACT
Galaxy morphology is a fundamental quantity, which is essential not only for the full spectrum of galaxy-evolution studies, but also for a plethora of science in observational cosmology (e.g. as a prior for photometric-redshift measurements and as contextual data for transient light-curve classifications). While a rich literature exists on morphological-classification techniques, the unprecedented data volumes, coupled, in some cases, with the short cadences of forthcoming ‘Big-Data’ surveys (e.g. from the LSST), present novel challenges for this field. Large data volumes make such data sets intractable for visual inspection (even via massively distributed platforms like Galaxy Zoo), while short cadences make it difficult to employ techniques like supervised machine learning, since it may be impractical to repeatedly produce training sets on short time-scales. Unsupervised machine learning, which does not require training sets, is ideally suited to the morphological analysis of new and forthcoming surveys. Here, we employ an algorithm that performs clustering of graph representations, in order to group image patches with similar visual properties and objects constructed from those patches, like galaxies. We implement the algorithm on the Hyper-Suprime-Cam Subaru-Strategic-Program Ultra-Deep survey, to autonomously reduce the galaxy population to a small number (160) of ‘morphological clusters’, populated by galaxies with similar morphologies, which are then benchmarked using visual inspection. The morphological classifications (which we release publicly) exhibit a high level of purity, and reproduce known trends in key galaxy properties as a function of morphological type at z &lt; 1 (e.g. stellar-mass functions, rest-frame colours, and the position of galaxies on the star-formation main sequence). Our study demonstrates the power of unsupervised machine learning in performing accurate morphological analysis, which will become indispensable in this new era of deep-wide surveys.
A kinematically unbiased, all-sky search for nearby, young, low-mass stars
Authors: Binks Alexander S , Chalifour Matthieu , Kastner Joel H , Rodriguez David , Murphy Simon J , Principe David A , Punzi Kristina , Sacco Germano G , Hernández Jesús 
Published: October 2019

ABSTRACT
The past two decades have seen dramatic progress in our knowledge of the population of young stars of age $\lt \!200\,$ Myr that lie within $150\,$ pc of the Sun. These nearby, young stars, most of which are found in loose, comoving groups, provide the opportunity to explore (among many other things) the dissolution of stellar clusters and their diffusion into the field star population. Here, we exploit the combination of astrometric and photometric data from Gaia and photometric data from GALEX (UV) and 2MASS (near-IR) in an attempt to identify additional nearby, young, late-type stars. Specifically, we present a sample of 146 GALEX UV-selected late-type (predominantly K-type) field stars with Gaia-based distances $\lt \!125\,$ pc (based on Gaia Data Release 1) that have isochronal ages $\lt \!80\,$ Myr even if equal-components binaries. We investigate the spectroscopic and kinematic properties of this sample. Despite their young isochronal ages, only ∼10 per cent of stars among this sample can be confidently associated with established nearby, young moving groups (MGs). These candidate MG members include five stars newly identified in this study. The vast majority of our sample of 146 nearby young star candidates have anomalous kinematics relative to the known MGs. These stars may hence represent a previously unrecognized population of young stars that has recently mixed into the older field star population. We discuss the implications and caveats of such a hypothesis – including the intriguing fact that, in addition to their non-young-star-like kinematics, the majority of the UV-selected, isochronally young field stars within $50\,$ pc appear surprisingly X-ray faint.
Higher Gene Flow in Sex-Related Chromosomes than in Autosomes during Fungal Divergence
Authors: Hartmann Fanny E , Rodríguez de la Vega Ricardo C , Gladieux Pierre , Ma Wen-Juan , Hood Michael E , Giraud Tatiana 
Published: October 2019

AbstractNonrecombining sex chromosomes are widely found to be more differentiated than autosomes among closely related species, due to smaller effective population size and/or to a disproportionally large-X effect in reproductive isolation. Although fungal mating-type chromosomes can also display large nonrecombining regions, their levels of differentiation compared with autosomes have been little studied. Anther-smut fungi from the Microbotryum genus are castrating pathogens of Caryophyllaceae plants with largely nonrecombining mating-type chromosomes. Using whole genome sequences of 40 fungal strains, we quantified genetic differentiation among strains isolated from the geographically overlapping North American species and subspecies of Silene virginica and S. caroliniana. We inferred that gene flow likely occurred at the early stages of divergence and then completely stopped. We identified large autosomal genomic regions with chromosomal inversions, with higher genetic divergence than the rest of the genomes and highly enriched in selective sweeps, supporting a role of rearrangements in preventing gene flow in genomic regions involved in ecological divergence. Unexpectedly, the nonrecombining mating-type chromosomes showed lower divergence than autosomes due to higher gene flow, which may be promoted by adaptive introgressions of less degenerated mating-type chromosomes. The fact that both mating-type chromosomes are always heterozygous and nonrecombining may explain such patterns that oppose to those found for XY or ZW sex chromosomes. The specific features of mating-type chromosomes may also apply to the UV sex chromosomes determining sexes at the haploid stage in algae and bryophytes and may help test general hypotheses on the evolutionary specificities of sex-related chromosomes.
Levinas, Løgstrup, and the Idea of Command
Authors: Morgan Michael L 
Published: October 2019

AbstractRobert Stern has argued that Levinas is a kind of command theorist and that, for this reason, Løgstrup can be understood to have provided an argument against Levinas. In this paper, I discuss Levinas’s use of the vocabulary of demand, order, and command in the light of Jewish philosophical accounts of such notions in the work of Martin Buber, Franz Rosenzweig, and Emil Fackenheim. These accounts revise the traditional Jewish idea of command and I show that Levinas’s use of this vocabulary is also revisionary. I show that in light of this tradition of discussion, Levinas’s use is not susceptible to the interpretation Stern proposes and thus that the Løgstrup-style argument cannot be used against Levinas.
Ontology and Ethics: Løgstrup between Heidegger and Levinas
Authors: Thornton Simon 
Published: October 2019

AbstractThis paper provides an exposition and critical assessment of a fundamental disagreement between Løgstrup’s and Levinas’s otherwise closely aligned ethical phenomenologies. The disagreement concerns the putative (in)compatibility of ethics and ontology, where in stark contrast to Levinas’s ethics, which proceeds from a critique of the ‘primacy of ontology’ in Western thought, Løgstrup brands his own ethical project as ‘ontological ethics’. First, I provide an interpretation of Løgstrup’s ontological ethics, clarifying in particular the influence of hermeneutic and existential analysis on Løgstrup’s methodology. Second, I bring Løgstrup’s ontological ethics into critical dialogue with Levinas’s thought. Here, I home in on two Levinas-style worries that appear to have traction against Løgstrup’s ontological ethics. However, ultimately, I argue that both can be defused.
Unraveling heteroplasmy patterns with NOVOPlasty
Authors: Dierckxsens Nicolas , Mardulyn Patrick , Smits Guillaume 
Published: October 2019

Abstract
Heteroplasmy, the existence of multiple mitochondrial haplotypes within an individual, has been studied across different scientific fields. Mitochondrial genome polymorphisms have been linked to multiple severe disorders and are of interest to evolutionary studies and forensic science. Before the development of massive parallel sequencing (MPS), most studies of mitochondrial genome variation were limited to short fragments and to heteroplasmic variants associated with a relatively high frequency (&gt;10%). By utilizing ultra-deep sequencing, it has now become possible to uncover previously undiscovered patterns of intra-individual polymorphisms. Despite these technological advances, it is still challenging to determine the origin of the observed intra-individual polymorphisms. We therefore developed a new method that not only detects intra-individual polymorphisms within mitochondrial and chloroplast genomes more accurately, but also looks for linkage among polymorphic sites by assembling the sequence around each detected polymorphic site. Our benchmark study shows that this method is capable of detecting heteroplasmy more accurately than any method previously available and is the first tool that is able to completely or partially reconstruct the sequence for each mitochondrial haplotype (allele). The method is implemented in our open source software NOVOPlasty that can be downloaded at https://github.com/ndierckx/NOVOPlasty.
Metabolic reprogramming associated with aggressiveness occurs in the G-CIMP-high molecular subtypes of IDH1mut lower grade gliomas
Authors: Ruiz-Rodado Victor , Malta Tathiane M , Seki Tomohiro , Lita Adrian , Dowdy Tyrone , Celiku Orieta , Cavazos-Saldana Alejandra , Li Aiguo , Liu Yang , Han Sue , Zhang Wei , Song Hua , Davis Dionne , Lee Sunmin , Trepel Jane B , Sabedot Thais S , Munasinghe Jeeva , Yang Chunzhang , Herold-Mende Christel , Gilbert Mark R , Cherukuri Murali Krishna , Noushmehr Houtan , Larion Mioara 
Published: October 2019

AbstractBackgroundEarly detection of increased aggressiveness of brain tumors is a major challenge in the field of neuro-oncology because of the inability of traditional imaging to uncover it. Isocitrate dehydrogenase (IDH)-mutant gliomas represent an ideal model system to study the molecular mechanisms associated with tumorigenicity because they appear indolent and non-glycolytic initially, but eventually a subset progresses toward secondary glioblastoma with a Warburg-like phenotype. The mechanisms and molecular features associated with this transformation are poorly understood.MethodsWe employed model systems for IDH1 mutant (IDH1mut) gliomas with different growth and proliferation rates in vivo and in vitro. We described the metabolome, transcriptome, and epigenome of these models in order to understand the link between their metabolism and the tumor biology. To verify whether this metabolic reprogramming occurs in the clinic, we analyzed data from The Cancer Genome Atlas.ResultsWe reveal that the aggressive glioma models have lost DNA methylation in the promoters of glycolytic enzymes, especially lactate dehydrogenase A (LDHA), and have increased mRNA and metabolite levels compared with the indolent model. We find that the acquisition of the high glycolytic phenotype occurs at the glioma cytosine-phosphate-guanine island methylator phenotype (G-CIMP)-high molecular subtype in patients and is associated with the worst outcome.ConclusionWe propose very early monitoring of lactate levels as a biomarker of metabolic reprogramming and tumor aggressiveness.