LLukas22/scidocs huggingface dataset:
The development of the NZ-based international upper limb surgery registry

Study design:Implementation study.Objectives:To describe the development and potential value of the New Zealand (NZ) upper limb surgery registry and report the demographic and spinal cord injury characteristics of individuals with tetraplegia collated to date.Setting:Multi Center—coordinated from Burwood Spinal Unit, NZ.Methods:Following discussions with eight international units, clinical information and outcomes measures were agreed upon for use in this specific population. To implement this consensus, a web-based upper limb surgery registry was developed in NZ. Inclusion criteria included referral to a hand clinic for clinical assessment for suitability for tendon transfer surgery. Clinical data were collected regardless of acceptance of surgery thereby creating a self-selected control group. Twenty-eight years of retrospective NZ data was entered into the registry, as well as 3 years of prospective data collected in NZ.Results:From 1982 to 2013, a total of 357 persons with tetraplegia were assessed as suitable for surgery. Of those, 223 individuals underwent surgery and 134 declined the intervention(s). The prospective group currently comprises 55 assessments with 23 surgery individuals and 32 who have declined surgery to date.Conclusion:Clinical information is now available within a web-based registry for all individuals reviewed in hand clinics from when upper limb surgery was first introduced. A broad range of outcomes of interest can easily be reported directly from the registry. The self-selected control group will allow comparative studies to be explicitly linked to the specific interventions of interest.
Efficacy of the trial-based thought record, a new cognitive therapy strategy designed to change core beliefs, in social phobia.

WHAT IS KNOWN AND BACKGROUND
Social anxiety disorder (SAD) often follows a chronic course and is associated with substantial impairment in functioning. Although results from clinical trials clearly establish evidence for efficacy of cognitive behavioural therapy in treating this disorder, up to 50% of patients with SAD show little or no improvement. Thus, new approaches that have promised in improving the efficacy of treatment for SAD are needed. One such approach is the trial-based thought record (TBTR), which targets the restructuring of patients' core beliefs.


OBJECTIVE
To determine whether patients receiving TBTR would report fewer symptoms of social anxiety and general psychiatric distress following treatment, relative to conventional cognitive therapy (CCT).


METHODS
A two-arm randomized trial comparing TBTR (n = 17) with a set of CCT techniques (n = 19), which included the standard seven-column dysfunctional thought record and the positive data log in SAD patients according to DSM-IV.


RESULTS
Scores on many outcome measures decreased significantly across the course of treatment in both groups (P < 0·001), including the Liebowitz Social Anxiety Scale, Fear of Negative Evaluation Scale (FNE), Social Avoidance and Distress Scale (SADS), Beck Anxiety Inventory, and Clinical Global Impression - Improvement. In addition, a one-way ancova, taking baseline values as covariates, showed that TBTR was significantly more efficacious than CCT in reducing the scores of FNE (P = 0·01 at mid-treatment and P = 0·004 at post-treatment), and SADS (P = 0·03 at post-treatment).


WHAT IS NEW AND CONCLUSION
This study provides preliminary evidence that TBTR is at least as efficacious as CCT in reducing symptoms of SAD, pointing to the need for additional studies of TBTR in SAD and other psychiatric disorders.
Sleep-related eating disorder and zolpidem: an open interventional cohort study.

To the Editor: Sleep-related eating disorder (SRED) is a newly recognized parasomnia that describes a clinical condition of compulsive eating under an altered level of consciousness during sleep. The prevalence rate varies from 4% to 16.7% among different clinical psychiatric populations.1,2 The exact etiology of SRED is unclear, but it is postulated that SRED might share features of both sleepwalking and eating disorders.3 In addition, there have been accumulating reports of SRED related to the use of various psychotropic medications including triazolam, zolpidem, olanzapine, risperidone, and combinations of psychotropics.4–8 Among these drugs, recent attention has focused on zolpidem, a nonbenzodiazepine hypnotic. Our clinical epidemiologic study in psychiatric outpatients2 showed that 1 out of 7 subjects regularly taking zolpidem could develop SRED in their lifetime. In addition, among a psychiatric population, most of the adult-onset sleepwalking cases were highly comorbid with SRED features.9 Thus, there seems to be a robust association of zolpidem and SRED on the basis of both cross-sectional clinical series and epidemiologic evidence. Warnings were issued in 2007 by both the Therapeutic Goods Administration of Australia10 and US Food and Drug Administration11 with regard to SRED as a potential side effect of zolpidem. Nonetheless, in order to confirm a definite association of zolpidem and SRED, resolution or reduction of SRED symptoms upon cessation of zolpidem treatment should be demonstrated. In particular, the episodic nature of the SRED attacks would argue the need for a longer-term follow-up period to document a clear resolution of the symptoms.
The FrameNet Constructicon

The Berkeley FrameNet Project1 has been engaged since 1997 in discovering and describing the semantic and distributional properties of words in the general vocabulary of English.2 Notions from FRAME SEMANTICS (see Fillmore and Baker 2009 and references therein) provide the basis of the semantic description of the lexical units in the database, and sentences extracted from the FrameNet (FN) text corpora3 serve as material for analysis and annotation. The goal is to describe the combinatorial properties of each word, both semantically and syntactically, as these properties are revealed in the corpora. The present chapter reviews some of the principles and displays some of the results of FrameNet’s lexical research but focuses on an appended project for recognizing and cataloguing GRAMMATICAL CONSTRUCTIONS in English. The registry of English constructions to be created by this secondary project—the Constructicon—will describe the grammatical characteristics and semantic import of each construction, and will link to each a collection of sample sentences that have been annotated to exhibit these characteristics, using tools developed for the earlier lexical work. While building a Constructicon has different goals from those of designing a construction-based grammar of the language, the intention is that each construction will be represented in a way compatible with the development of full grammar of the language of the sort presented elsewhere in this volume (see especially Sag this volume). In some cases we offer precise proposals for the treatment of a construction as it would appear in the grammar; in other cases the descriptions we present should be seen at least as organized observations about individual constructions, observations that need to be accounted for in a future complete grammar. In all cases we expect that the constructicon will contain useful information for advanced language pedagogy and that it will suggest new levels of expectation for parsing and other NLP activities. The main body of the finished Constructicon will display the properties of constructional phenomena in an abbreviated format, alongside of a representative sample of English sentences annotated to display the properties claimed for each construction. The annotation procedure follows a method of identifying and labeling phrases originally developed for FN’s lexicographic activities but adapted to indicate (1) the stretches of language that count as instances of given constructions (e.g. the phrase bracketed in { } in They
Securing the Cloud - Governance, Risk, and Compliance Issues Reign Supreme

Rhonda Farrell University of Fairfax, Vienna, VA ABSTRACT While acknowledging the many benefits that cloud computing solutions bring to the world, it is important to note that recent research and studies of these technologies have identified a myriad of potential governance, risk, and compliance (GRC) issues. While industry clearly acknowledges their existence and seeks to them as much as possible, timing-wise it is still well before the legal framework has been put in place to adequately protect and adequately respond to these new and differing global challenges. This paper seeks to inform the potential cloud adopter, not only of the perceived great technological benefit, but to also bring to light the potential security, privacy, and related GRC issues which will need to be prioritized, managed, and mitigated before full implementation occurs.
Synthesis and size-dependent crystallization of colloidal germanium telluride nanoparticles

Colloidal nanocrystals have long been used to study the dependence of phase stability and transitions on size. Both structural phase stability and phase transitions change dramatically in the nanometre size regime where the surface plays a significant role in determining the overall energetics of the system. We investigate the solid–solid phase transformation of crystallization in amorphous GeTe nanoparticles. We report a colloidal synthetic route to amorphous GeTe nanoparticles. Using in situ X-ray diffraction while heating, we observe the crystallization of the nanoparticles and find a dramatic increase of the crystallization temperature of over 150 C above the bulk value. Using sizeselected nanoparticle films, we show that the crystallization temperature depends strongly on the particle size. In addition, we measure the electrical resistance of nanoparticle films and observe over 5 orders of magnitude lower resistance for the crystalline film compared to the amorphous film. Finally, we discuss the implications of the size-dependence of crystallization in the context of both understanding the behavior of phase stability in the nanosize regime and applications to phase change memory devices.
Opinion mining from online hotel reviews - A text summarization approach

Online travel forums and social networks have become the most popular platform for sharing travel information, with enormous numbers of reviews posted daily. Automatically generated hotel summaries could aid travelers in selecting hotels. This study proposes a novel multi-text summarization technique for identifying the topk most informative sentences of hotel reviews. Previous studies on review summarization have primarily examined content analysis, which disregards critical factors like author credibility and conflicting opinions. We considered such factors and developed a new sentence importance metric. Both the content and sentiment similarities were used to determine the similarity of two sentences. To identify the topk sentences, the k -medoids clustering algorithm was used to partition sentences into k groups. The medoids from these groups were then selected as the final summarization results. To evaluate the performance of the proposed method, we collected two sets of reviews for the two hotels posted on TripAdvisor.com. A total of 20 subjects were invited to review the text summarization results from the proposed approach and two conventional approaches for the two hotels. The results indicate that the proposed approach outperforms the other two, and most of the subjects believed that the proposed approach can provide more comprehensive hotel information. © 2016 Elsevier Ltd. All rights reserved.
Cgl-SLT2 is required for appressorium formation, sporulation and pathogenicity in Colletotrichum gloeosporioides

The mitogen-activated protein (MAP) kinase pathways has been implicated in the pathogenicity of various pathogenic fungi and plays important roles in regulating pathogenicity-related morphogenesis. This work describes the isolation and characterization of MAP kinase gene, Cgl-SLT2, from Colletotrichum gloeosporioides. A DNA sequence, including 1,633 bp of Cgl-SLT2 open-reading frame and its promoter and terminator regions, was isolated via DNA walking and cloned. To analyze gene function, a gene disruption cassette containing hygromycin-resistant gene was constructed, and Cgl-SLT2 was inactivated via gene deletion. Analysis on Cgl-slt2 mutant revealed a defect in vegetative growth and sporulation as compared to the wild-type strain. When grown under nutrient-limiting conditions, hyperbranched hyphal morphology was observed in the mutant. Conidia induction for germination on rubber wax-coated hard surfaces revealed no differences in the percentage of conidial germination between the wild-type and Cgl-slt2 mutant. However, the percentage of appressorium formation in the mutant was greatly reduced. Bipolar germination in the mutant was higher than in the wild-type at 8-h post-induction. A pathogenicity assay revealed that the mutant was unable to infect either wounded or unwounded mangoes. These results suggest that the Cgl-SLT2 MAP kinase is required for C. gloeosporioides conidiation, polarized growth, appressorium formation and pathogenicity.
Analysis of the economic impact of cystic echinococcosis in Spain.

OBJECTIVE
To estimate the overall economic losses due to human and animal cystic echinococcosis (CE) in Spain in 2005.


METHODS
We obtained data on annual CE incidence from surveillance and abattoir records, and on CE-related treatment and productivity losses (human and animal) from the scientific literature. Direct costs were those associated with diagnosis, surgical or chemotherapeutic treatment, medical care and hospitalization in humans, and condemnation of offal in livestock (sheep, goats, cattle and pigs). Indirect costs comprised human productivity losses and the reduction in growth, fecundity and milk production in livestock. The Latin hypercube method was used to represent the uncertainty surrounding the input parameters.


FINDINGS
The overall economic loss attributable to CE in humans and animals in 2005 was estimated at 148 964 534 euros (euro) (95% credible interval, CI: 21 980 446-394 012 706). Human-associated losses were estimated at euro133 416 601 (95% CI: 6 658 738-379 273 434) and animal-associated losses at euro15 532 242 (95% CI: 13 447 378-17 789 491).


CONCLUSION
CE is a neglected zoonosis that remains a human and animal health concern for Spain. More accurate data on CE prevalence in humans (particularly undiagnosed or asymptomatic cases) and better methods to estimate productivity losses in animals are needed. CE continues to affect certain areas of Spain, despite several control initiatives since 1986. Given the high economic burden of CE, additional funding is needed to reduce human and animal infection rates through improved disease surveillance, regular treatment of dogs and greater cooperation between agencies.
Renal safety of zoledronic acid with thalidomide in patients with myeloma: a pharmacokinetic and safety sub-study

BACKGROUND
Cases of impaired renal function have been reported in patients who had been treated with both zoledronic acid and thalidomide for myeloma. Hence, we conducted a safety study of zoledronic acid and thalidomide in myeloma patients participating in a trial of maintenance therapy.


METHODS
Twenty-four patients who were enrolled in a large randomized trial of thalidomide vs no thalidomide maintenance therapy for myeloma, in which all patients also received zoledronic acid, were recruited to a pharmacokinetic and renal safety sub-study, and followed for up to 16 months.


RESULTS
No significant differences by Wilcoxon rank-sum statistic were found in zoledronic acid pharmacokinetics or renal safety for up to 16 months in patients randomized to thalidomide or not.


CONCLUSION
In myeloma patients receiving maintenance therapy, the combination of zoledronic acid and thalidomide appears to confer no additional renal safety risks over zoledronic acid alone.
A prospective randomised controlled trial to assess the efficacy of dynamic stabilisation of the lumbar spine with the Wallis ligament

This prospective randomised control study is to demonstrate whether or not there is a clinical benefit from inserting a Wallis implant on the functional recovery of patients who have undergone lumbar decompression surgery. Sixty consecutive patients with an average age of 58 years (34–81) who were selected for primary lumbosacral decompression were randomly assigned into two groups with equal number of patients, decompression alone or decompression with Wallis implant. The patients had an average follow-up of 40 months. Patients were assessed by visual analogue scale (VAS) (Boonstra et al., Int J Rehabil Res 31:165–169, 2008; Price et al., Pain 17:45–56, 1983) pain score for back and leg pain, and the Oswestry Disability Index questionnaire (ODI) (Smeets et al., Arthritis Care Res (Hoboken) 63:S158–S173, 2011). The results in both the groups did not reveal a significant difference in the clinical outcome assessment of back pain score or ODI. With the Wilcoxon two-sample test, no difference in median values was achieved (p value 0.0787 for ODI and p value 0.1926 for back pain). The average ODI in the Wallis group dropped from 50.93 to 29.11. The average VAS for the Wallis group back pain dropped from 7.79 to 4.22. The Wallis implant is a safe medical device. This study revealed a reduction in pain and functional disability in patients treated with decompression surgery for lumbar stenosis, with or without Wallis. The Wallis group improved more, but it was not statistically significant. The risk of complications is lower than other interspinous devices [18, 19].
A strategy for the characterization of minute chromosome rearrangements using multiple color fluorescence in situ hybridization with chromosome-specific DNA libraries and YAC clones

The identification of marker chromosomes in clinical and tumor cytogenetics by chromosome banding analysis can create problems. In this study, we present a strategy to define minute chromosomal rearrangements by multicolor fluorescence in situ hybridization (FISH) with “whole chromosome painting” probes derived from chromosome-specific DNA libraries and Alu-polymerase chain reaction (PCR) products of various region-specific yeast artificial chromosome (YAC) clones. To demonstrate the usefulness of this strategy for the characterization of chromosome rearrangements unidentifiable by banding techniques, an 8p+ marker chromosome with two extra bands present in the karyotype of a child with multiple anomalies, malformations, and severe mental retardation was investigated. A series of seven-color FISH experiments with sets of fluorochrome-labeled DNA library probes from flow-sorted chromosomes demonstrated that the additional segment on 8p+ was derived from chromosome 6. For a more detailed characterization of the marker chromosome, three-color FISH experiments with library probes specific to chromosomes 6 and 8 were performed in combination with newly established telomeric and subtelomeric YAC clones from 6q25, 6p23, and 8p23. These experiments demonstrated a trisomy 6pter→6p22 and a monosomy 8pter→8p23 in the patient. The present limitations for a broad application of this strategy and its possible improvements are discussed.
Large Scale Language Modeling: Converging on 40GB of Text in Four Hours

Recent work has shown how to train Convolutional Neural Networks (CNNs) rapidly on large image datasets [1], then transfer the knowledge gained from these models to a variety of tasks [2]. Following [3], in this work, we demonstrate similar scalability and transfer for Recurrent Neural Networks (RNNs) for Natural Language tasks. By utilizing mixed precision arithmetic and a 32k batch size distributed across 128 NVIDIA Tesla V100 GPUs, we are able to train a character-level 4096-dimension multiplicative LSTM (mLSTM) [4] for unsupervised text reconstruction over 3 epochs of the 40 GB Amazon Reviews dataset [5] in four hours. This runtime compares favorably with previous work taking one month to train the same size and configuration for one epoch over the same dataset [3]. Converging large batch RNN models can be challenging. Recent work has suggested scaling the learning rate as a function of batch size, but we find that simply scaling the learning rate as a function of batch size leads either to significantly worse convergence or immediate divergence for this problem. We provide a learning rate schedule that allows our model to converge with a 32k batch size. Since our model converges over the Amazon Reviews dataset in hours, and our compute requirement of 128 Tesla V100 GPUs, while substantial, is commercially available, this work opens up large scale unsupervised NLP training to most commercial applications and deep learning researchers 11Our code is publicly available: https://github.com/NVIDIA/sentiment-discovery, A model can be trained over most public or private text datasets overnight.
Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach

BACKGROUND
Mobile phone use and the adoption of healthy lifestyle software apps ("health apps") are rapidly proliferating. There is limited information on the users of health apps in terms of their social demographic and health characteristics, intentions to change, and actual health behaviors.


OBJECTIVE
The objectives of our study were to (1) to describe the sociodemographic characteristics associated with health app use in a recent US nationally representative sample; (2) to assess the attitudinal and behavioral predictors of the use of health apps for health promotion; and (3) to examine the association between the use of health-related apps and meeting the recommended guidelines for fruit and vegetable intake and physical activity.


METHODS
Data on users of mobile devices and health apps were analyzed from the National Cancer Institute's 2015 Health Information National Trends Survey (HINTS), which was designed to provide nationally representative estimates for health information in the United States and is publicly available on the Internet. We used multivariable logistic regression models to assess sociodemographic predictors of mobile device and health app use and examine the associations between app use, intentions to change behavior, and actual behavioral change for fruit and vegetable consumption, physical activity, and weight loss.


RESULTS
From the 3677 total HINTS respondents, older individuals (45-64 years, odds ratio, OR 0.56, 95% CI 0.47-68; 65+ years, OR 0.19, 95% CI 0.14-0.24), males (OR 0.80, 95% CI 0.66-0.94), and having degree (OR 2.83, 95% CI 2.18-3.70) or less than high school education (OR 0.43, 95% CI 0.24-0.72) were all significantly associated with a reduced likelihood of having adopted health apps. Similarly, both age and education were significant variables for predicting whether a person had adopted a mobile device, especially if that person was a college graduate (OR 3.30). Individuals with apps were significantly more likely to report intentions to improve fruit (63.8% with apps vs 58.5% without apps, P=.01) and vegetable (74.9% vs 64.3%, P<.01) consumption, physical activity (83.0% vs 65.4%, P<.01), and weight loss (83.4% vs 71.8%, P<.01). Individuals with apps were also more likely to meet recommendations for physical activity compared with those without a device or health apps (56.2% with apps vs 47.8% without apps, P<.01).


CONCLUSIONS
The main users of health apps were individuals who were younger, had more education, reported excellent health, and had a higher income. Although differences persist for gender, age, and educational attainment, many individual sociodemographic factors are becoming less potent in influencing engagement with mobile devices and health app use. App use was associated with intentions to change diet and physical activity and meeting physical activity recommendations.
Towards 5G Security

This paper discusses potential security requirements and mechanisms for 5G mobile networks. It does not intend to do so exhaustively, but rather aims at initiating and spurring the work towards a 5G security architecture.