bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Comprehensive and Interactive Tool to Inform State Violence and Injury Prevention Plans
Authors: Wilson Lauren , Deokar Angela J. , Zaesim Araya , Thomas Karen , Kresnow-Sedacca Marcie-jo 
Published: November 2017

Context:
The Center of Disease Control and Prevention's Core State Violence and Injury Prevention Program (Core SVIPP) provides an opportunity for states to engage with their partners to implement, evaluate, and disseminate strategies that lead to the reduction and prevention of injury and violence. Core SVIPP requires awardees to develop or update their state injury and violence plans. Currently, literature informing state planning efforts is limited, especially regarding materials related to injury and violence. Presumably, plans that are higher quality result in having a greater impact on preventing injury and violence, and literature to improve quality would benefit prevention programming.

Objective:
(1) To create a comprehensive injury-specific index to aid in the development and revision of state injury and violence prevention plans, and (2) to assess the reliability and utility of this index.

Design:
Through an iterative development process, a workgroup of subject matter experts created the Violence and Injury Prevention: Comprehensive Index Tool (VIP:CIT). The tool was pilot tested on 3 state injury and violence prevention plans and assessed for initial usability. Following revisions to the tool (ie, a rubric was developed to further delineate consistent criteria for rating; items were added and clarified), the same state plans were reassessed to test interrater reliability and tool utility.

Results:
For the second assessment, reliability of the VIP:CIT improved, indicating that the rubric was a useful addition. Qualitative feedback from states suggested that the tool significantly helped guide plan development and communicate about planning processes.

Conclusion:
The final VIP:CIT is a tool that can help increase plan quality, decrease the research-to-practice gap, and increase connectivity to emerging public health paradigms. The tool provides an example of tailoring guidance materials to reflect academic literature, and it can be easily adapted to other topic areas to promote quality of strategic plans for numerous outcomes.
Trend and Demographic Characteristics of Maxillofacial Fractures in Level I Trauma Center
Authors: Emodi Omri , Wolff Amir , Srouji Hanna , Bahouth Hany , Noy Dani , Abu El Naaj Imad , Rachmiel Adi 
Published: November 2017

Aim:
The aim of this study was to analyze the pattern and treatment of craniomaxillofacial injuries in the northern part of Israel, within a Jewish majority and large Arab minority population.

Patients and Methods:
A 5-year retrospective study evaluated patients treated for craniomaxillofacial fractures. Fracture cause, type, site, and patient demographics were evaluated.

Results:
Patient age ranged from 1 to 94 years with an average age of 36.7 years; 52% of the victims were Jews and 48% Arabs. There was male predilection in both sectors (78.3% vs 21.7%). The main site of injury was the zygomatic bone (33.5%) followed by nasal bone, orbital, mandible, frontal sinus, and maxillary fractures. The main etiology of injuries was falls (45.4%) with significantly more falls reported by females (52.1% vs 43.2% in males). Motor vehicle accidents caused injuries more frequent in males. Arabs experienced CMF fractures at a younger age compared to Jews (27.8 and 44.8 average age, respectively). In the elderly, the trend reversed where Jews were more prone to craniomaxillofacial fractures.

Conclusions:
Compared to their weight in the population, the Arab sector experiences more craniomaxillofacial injuries. The Jewish elderly population tends to reside in nursing homes where they are more susceptible to accidental falls, whereas young Arab males are more exposed to motor vehicle accidents and interpersonal violence. Falls were the main cause of injuries particularly in women. This may reflect the women's fear of reporting domestic violence. We believe that increased government investments in infrastructures and education will lower the incidence of craniomaxillofacial trauma and balance the gap between both sectors and sexes.
Bibliometric Analysis of Journals in the Field of Endoscopic Endonasal Surgery for Pituitary Adenomas
Authors: Li Lei , Ma Xiaoye , Pandey Sajan , Fan Aoyuan , Deng Xianyu , Cui Daming 
Published: November 2017

Abstract
Endoscopic endonasal surgery for pituitary adenomas is being performed more frequently worldwide in the recent years. This first bibliometric analysis was conducted aiming to have a microscopic view of research activities about endoscopic endonasal surgery for pituitary adenomas. The original articles about endoscopic endonasal surgery for pituitary adenomas were extracted from the Web of Science (WoS) and analyzed concerning their distributions. We also explored the potential correlations between publications of different countries and their gross domestic product (GDP) via Pearson correlation test. The total number of original articles retrieved from WoS was 307 from 1997 to 2017. The number of original articles published in the last decade has increased by 530.95% compared with that published in the former decade. The United States has published 124 articles (40.391%), followed by Italy with 40 (13.029%) and Japan with 27 articles (8.795%). The journal that published the highest number of original articles was Journal of Neurosurgery with 31 (10.098%), followed by Neurosurgery (n = 23, 7.492%), World Neurosurgery (n = 23, 7.492%), and Neurosurgical Focus (n = 15, 4.886%). There was a strong correlation between publication numbers and GDP of different countries (r
2 = 0.889, P < 0.001). There is a skyrocket trend of endoscopic endonasal surgery for pituitary adenomas during the last 2 decades, and countries with high GDP tend to make more contributions to this field.
Modified Backward Avulsion Used in the Treatment of Third-Branch Primary Trigeminal Neuralgia
Authors: Liang Chao , Wang Xiao-Yu , Li Jun , Zhang Min , Liu Hong-Fei 
Published: November 2017

Objective:
A clinical retrospective study was performed to observe the clinical effect of a modified surgical treatment for third-branch primary trigeminal neuralgia.

Method:
Thirty patients who had suffered from neuralgia for several years underwent modified backward avulsion of the inferior alveolar nerve and were followed for 3 to 5 years. In this technique, the inferior alveolar nerve was cut off through the mandibular wisdom tooth extraction socket or the corresponding alveolar ridge window and was avulsed from the mental foramen. Simultaneously, the neural foramen was packed with autogenous bone fragments to prevent recurrence.

Results:
After a 3- to 5-years follow-up, 19 patients were cured, 8 patients reported a partial effect of treatment, and 3 patients exhibited recurrence. The efficacy rate was 90%. Postoperatively, the patients had different degrees of numbness in the area innervated by the third branch of the trigeminal nerve but did not have any other complications.

Conclusions:
This study proved that modified backward avulsion is a simple, effective, and safe method that can be applied in the clinical setting to treat third-branch primary trigeminal neuralgia.
MetQy – an R package to query metabolic functions of genes and genomes
Authors: Martinez–Vernon Andrea , Farrell Frederick , Soyer Orkun S. 
Published: November 2017

AbstractSummaryWith the rapid accumulation of sequencing data from genomic and metagenomic studies, there is an acute need for better tools that facilitate their analyses against biological functions. To this end, we developed MetQy, an open–source R package designed for query–based analysis of functional units in [meta]genomes and/or sets of genes using the The Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Furthermore, MetQy contains visualization and analysis tools and facilitates KEGG’s flat file manipulation. Thus, MetQy enables better understanding of metabolic capabilities of known genomes or user–specified [meta]genomes by using the available information and can help guide studies in microbial ecology, metabolic engineering and synthetic biology.Availability and ImplementationThe MetQy R package is freely available and can be downloaded from our group’s website (http://osslab.lifesci.warwick.ac.uk) or GitHub (https://github.com/OSS-Lab/MetQy).ContactO.Soyer@warwick.ac.uk
Theta Oscillations Organize Spiking Activity in Higher-Order Visual Thalamus during Sustained Attention
Authors: Yu Chunxiu , Stitt Iain M. , Li Yuhui , Zhou Zhe Charles , Sellers Kristin K. , Frohlich Flavio 
Published: November 2017

AbstractHigher-order visual thalamus plays a fundamental but poorly understood role in attention-demanding tasks. To investigate how neuronal dynamics in higher-order visual thalamus are modulated by sustained attention, we performed multichannel electrophysiological recordings in the lateral posterior-pulvinar complex (LP/pulvinar) in the ferret (Mustela putorius furo). We recorded single unit activity and local field potential during the performance of the 5-choice serial reaction time task (5-CSRTT) that is used in both humans and animals as an assay of sustained attention. We found that half of the units exhibited an increasing firing rate during the delay period before stimulus onset (attention-modulated units). In contrast, the non-attention-modulated units responded to the stimulus, but not during the delay period. Spike-field coherence of only the attention-modulated neurons significantly increased from the start of the delay period until screen touch, predominantly in the theta frequency band. In addition, theta power and theta-gamma phase-amplitude coupling were elevated throughout the delay period. Our findings suggest that the theta oscillation plays a central role in orchestrating thalamic signaling during sustained attention.SignificanceImpaired sustained attention can be deadly, as illustrated by the number of motor vehicle accidents that are caused by drivers not reacting quickly enough to unexpected events on the road. Understanding how electrical signaling in higher-order visual nuclei, such as the LP/pulvinar, is modulated during tasks that require sustained attention is an important step in achieving a mechanistic understanding of sustained attention, which will eventually lead to new strategies to prevent and treat impairment in sustained attention.
The Evolutionary Genomic Dynamics of Peruvians Before, During, and After the Inca Empire
Authors: Harris Daniel N. , Song Wei , Shetty Amol C. , Lavano Kelly , Cáceres Omar , Padilla Carlos , Borda Víctor , Tarazona David , Trujillo Omar , Sanchez Cesar , Kessler Michael D. , Galarza Marco , Capristano Silvia , Montejo Harrison , Flores-Villanueva Pedro O. , Tarazona-Santos Eduardo , O’Connor Timothy D. , Guio Heinner 
Published: November 2017

AbstractNative Americans from the Amazon, Andes, and coast regions of South America have a rich cultural heritage, but have been genetically understudied leading to gaps in our knowledge of their genomic architecture and demographic history. Here, we sequenced 150 high-coverage and genotyped 130 genomes from Native American and mestizo populations in Peru. A majority of our samples possess greater than 90% Native American ancestry and demographic modeling reveals, consistent with a rapid peopling model of the Americas, that most of Peru was peopled approximately 12,000 years ago. While the Native American populations possessed distinct ancestral divisions, the mestizo groups were admixtures of multiple Native American communities which occurred before and during the Inca Empire. The mestizo communities also show Spanish introgression only after Peruvian Independence. Thus, we present a detailed model of the evolutionary dynamics which impacted the genomes of modern day Peruvians.
Recurrent Auto-Encoding Drift Diffusion Model
Authors: Vincent Moens , Alexandre Zenon 
Published: November 2017

AbstractThe Drift Diffusion Model (DDM) is a popular model of behaviour that accounts for patterns of accuracy and reaction time data. In the Full DDM implementation, parameters are allowed to vary from trial-to-trial, making the model more powerful but also more challenging to fit to behavioural data. Current approaches yield typically poor fitting quality, are computationally expensive and usually require assuming constant threshold parameter across trials. Moreover, in most versions of the DDM, the sequence of participants’ choices is considered independent and identically distributed(i.i.d.), a condition often violated in real data.Our contribution to the field is threefold: first, we introduce Variational Bayes as a method to fit the full DDM. Second, we relax thei.i.d. assumption, and propose a data-driven algorithm based on a Recurrent Auto-Encoder (RAE-DDM), that estimates the local posterior probability of the DDM parameters at each trial based on the sequence of parameters and data preceding the current data point. Finally, we extend this algorithm to illustrate that the RAE-DDM provides an accurate modelling framework for regression analysis. An important result of the approach we propose is that inference at the trial level can be achieved efficiently for each and every parameter of the DDM, threshold included. This data-driven approach is highly generic and self-contained, in the sense that no external input (e.g. regressors or physiological measure) is necessary to fit the data. Using simulations, we show that this method outperformsi.i.d.-based approaches (either Markov Chain Monte Carlo ori.i.d.-VB) without making any assumption about the nature of the between-trial correlation of the parameters.
HAPDeNovo: a haplotype-based approach for filtering and phasing de novo mutations in linked read sequencing data
Authors: Zhou Xin , Batzoglou Serafim , Sidow Arend , Zhang Lu 
Published: November 2017

AbstractBackgroundDe novo mutations (DNMs) are associated with neurodevelopmental and congenital diseases, and their detection can contribute to understanding disease pathogenicity. However, accurate detection is challenging because of their small number relative to the genome-wide false positives in next generation sequencing (NGS) data. Software such as DeNovoGear and TrioDeNovo have been developed to detect DNMs, but at good sensitivity they still produce many false positive calls.ResultsTo address this challenge, we develop HAPDeNovo, a program that leverages phasing information from linked read sequencing, to remove false positive DNMs from candidate lists generated by DNM-detection tools. Short reads from each phasing block are allocated to each of the two haplotypes followed by generating a haploid genotype for each putative DNM.HAPDeNovo removes variants that are called as heterozygous in one of the haplotypes because they are almost certainly false positives. Our experiments on 10X Chromium linked read sequencing trio data reveal that HAPDeNovo eliminates 80% to 99% of false positives regardless of how large the candidate DNM set is.ConclusionsHAPDeNovo leverages the haplotype information from linked read sequencing to remove spurious false positive DNMs effectively, and it increases accuracy of DNM detection dramatically without sacrificing sensitivity.
Emergence of binocular disparity selectivity through Hebbian learning
Authors: Chauhan Tushar , Masquelier Timothée , Montlibert Alexandre , Cottereau Benoit R. 
Published: November 2017

AbstractNeural selectivity in the early visual cortex strongly reflects the statistics of our environment (Barlow, 2001; Geisler, 2008). Although this has been described extensively in literature through various encoding hypotheses (Barlow and Földiák, 1989; Atick and Redlich, 1992; Olshausen and Field, 1996), an explanation as to how the cortex develops the structures to support these encoding schemes remains elusive. Here, using the more realistic example of binocular vision as opposed to monocular luminance-field images, we show how a simple Hebbian coincidence-detector is capable of accounting for the emergence of binocular, disparity selective, receptive fields. We propose a model based on spike-timing dependent plasticity (STDP) which not only converges to realistic single-cell and population characteristics, but also demonstrates how known biases in natural statistics may influence population encoding and downstream correlates of behaviour. Furthermore, we show that the receptive fields we obtain are closer in structure to electrophysiological data than those predicted by normative encoding schemes (Ringach, 2002). We also demonstrate the robustness of our model to the input dataset, noise at various processing stages, and internal parameter variation. Taken together, our modelling results suggest that Hebbian coincidence-detection is an important computational principle and could provide a biologically plausible mechanism for the emergence of selectivity to natural statistics in the early sensory cortex.
Modelling microbiome recovery after antibiotics using a stability landscape framework
Authors: Shaw Liam P. , Bassam Hassan , Barnes Chris P. , Walker A. Sarah , Klein Nigel , Balloux Francois 
Published: November 2017

AbstractTreatment with antibiotics is one of the most extreme perturbations to the human microbiome. Even standard courses of antibiotics dramatically reduce the microbiome’s diversity and can cause transitions to dysbiotic states. Conceptually, this is often described as a ‘stability landscape’: the microbiome sits in a landscape with multiple stable equilibria, and sufficiently strong perturbations can shift the microbiome from its normal equilibrium to another state. However, this picture is only qualitative and has not been incorporated in previous mathematical models of the effects of antibiotics. Here, we outline a simple quantitative model based on the stability landscape concept and demonstrate its success on real data. Our analytical impulse-response model has minimal assumptions with three parameters. We fit this model in a Bayesian framework to data from a previous study of the year-long effects of short courses of four common antibiotics on the gut and oral microbiomes, allowing us to compare parameters between antibiotics and microbiomes, and further validate our model using data from another study looking at the impact of a combination of last-resort antibiotics on the gut microbiome. Using Bayesian model selection we find support for a long-term transition to an alternative microbiome state after courses of certain antibiotics in both the gut and oral microbiomes. Quantitative stability landscape frameworks are an exciting avenue for future microbiome modelling.
Cytoplasmic import and processing of mRNA amplify transcriptional bursts accounting for the majority of cellular noise
Authors: Hansen Maike M. K. , Desai Ravi V. , Simpson Michael L. , Weinberger Leor S. 
Published: November 2017

AbstractTranscription is an episodic process characterized by probabilistic bursts; but how these bursts are modulated by cellular physiology remains unclear and has implications for how selection may act on these fluctuations. Using simulations and single-molecule RNA counting, we examined how cellular processes influence cell-to-cell variability (noise). The results show that RNA noise is amplified in the cytoplasm compared to the nucleus in ~85% of genes across diverse promoters, genomic loci, and cell types (human and mouse). Surprisingly, measurements show further amplification of RNA noise in the cytoplasm, fitting a model of biphasic mRNA conversion between translation- and degradation-competent states. The multi-state translation-degradation of mRNA also causes substantial noise amplification in protein levels, ultimately accounting for ~74% of intrinsic protein variability in cell populations. Overall, the results demonstrate how transcriptional bursts are intrinsically amplified by mRNA processing and indicate mechanisms through which noise could act as a substrate for evolutionary selection.
Monopropylene glycol based heat transfer fluid: effects of green and synthetic corrosion inhibitors on copper and aluminum with ageing tests
Authors: Akin Mustafa , Saki Neslihan 
Published: November 2017

PurposeThe purpose of this paper is to understand corrosion behavior of copper and aluminum in monopropylene glycol-based heat transfer fluid by using synthetic and green inhibitors.Design/methodology/approachWeight loss, potentiodynamic and impedance measurements were applied to specimens to obtain their electrochemical characteristics and corrosion behaviors. Ageing test was applied to the fluids that contain different corrosion inhibitors to see the effect of inhibitors on fluid structure, and surface morphologies were examined by scanning electron microscopy (SEM).FindingsThe corrosion tests showed that synthetic inhibitors have better anti-corrosion potential than green inhibitors.Social implicationsLike the synthetic corrosion inhibitors, there is growing interest in green inhibitors. Synthetic corrosion inhibitors are expensive and toxic for live beings, but green inhibitors from naturel sources are easy to reach and non-toxic for live beings and environment.Originality/valueFor solar heating systems, there is a need to select the correct heat transfer fluid; corrosion behavior of fluid plays a major role in the operation because the big part of the heating system consists of copper and aluminum close to ferrius metals and stainless steel.
Analysis of food bank implementation as formal care assistance in Korea
Authors: Kobayashi Tomio , Kularatne Jagath , Taneichi Yutaka , Aihara Nobuhide 
Published: November 2017

Purpose
In contrast with countries where food banks (FBs) have developed as informal care, FBs in Korea developed under government patronage as a formal care system. However, the performance of FBs under the formal care approach has not yet been studied. Therefore, the purpose of this paper is to investigate the quantity of food donation (QFD) and the variety of food donation (VFD) of FBs in Korea.

Design/methodology/approach
Aspects of quantity of donations, variety of donations, and changes in the number of donors and recipients for Korean FBs were considered. Regression analysis and the Herfindahl-Hirschman index were employed for the analysis, and data were collected through on-site interviews in Korea and online information.

Findings
Korean FBs were initially based on the concept of gift exchanges, with the expectation of receiving something in return, and thus did not employ the concept of real gifts or charity. Moreover, Korean FB development was compelled, as this exchange was enacted into law. Therefore, the QFD increased rapidly post the legislation of FBs, a fact not observed in other countries. The authors verified that the QFD and VFD in Korea increased significantly within a decade due to the government intervention.

Research limitations/implications
Aspects such as satisfaction and the nutritional needs of FB beneficiaries are not investigated in detail.

Originality/value
The study found that global FBs, which are an inherently informal system, could also be successfully developed as a policy-based formal care system.