LLukas22/scidocs huggingface dataset:
Viewpoint: a comparison of cause-of-injury coding in U.S. military and civilian hospitals.

INTRODUCTION
Complete and accurate coding of injury causes is essential to the understanding of injury etiology and to the development and evaluation of injury-prevention strategies. While civilian hospitals use ICD-9-CM external cause-of-injury codes, military hospitals use codes derived from the NATO Standardization Agreement (STANAG) 2050.


DISCUSSION
The STANAG uses two separate variables to code injury cause. The Trauma code uses a single digit with 10 possible values to identify the general class of injury as battle injury, intentionally inflicted nonbattle injury, or unintentional injury. The Injury code is used to identify cause or activity at the time of the injury. For a subset of the Injury codes, the last digit is modified to indicate place of occurrence. This simple system contains fewer than 300 basic codes, including many that are specific to battle- and sports-related injuries not coded well by either the ICD-9-CM or the draft ICD-10-CM. However, while falls, poisonings, and injuries due to machinery and tools are common causes of injury hospitalizations in the military, few STANAG codes correspond to these events. Intentional injuries in general and sexual assaults in particular are also not well represented in the STANAG. Because the STANAG does not map directly to the ICD-9-CM system, quantitative comparisons between military and civilian data are difficult.


CONCLUSIONS
The ICD-10-CM, which will be implemented in the United States sometime after 2001, expands considerably on its predecessor, ICD-9-CM, and provides more specificity and detail than the STANAG. With slight modification, it might become a suitable replacement for the STANAG.
US Food and Drug Administration’s Risk Evaluation and Mitigation Strategy for Extended-Release and Long-Acting Opioids

Prescriptions for opioid analgesics to manage moderate-to-severe chronic non-cancer pain have increased markedly over the last decade. An unintentional consequence of greater prescription opioid utilization has been the parallel increase in misuse, abuse and overdose, which are serious risks associated with all opioid analgesics. In response to disturbing rises in prescription opioid abuse, the US Food and Drug Administration (FDA) has proposed the implementation of aggressive Risk Evaluation and Mitigation Strategies (REMS). While REMS could dramatically change the development, release, marketing and prescription of extended-release opioids, questions remain on how these programmes may influence prescribing practices, patient safety and ultimately patient access to these agents. The extent of the availability and misuse of prescription opioids in Europe is difficult to assess from the data currently available, due in large part to the considerable differences in prescribing patterns and regulations between countries. Balancing the availability of prescription opioids for those patients who have pain, while discouraging illicit use, is a complex challenge and requires effective efforts on many levels, particularly in Europe where policies are quite different between countries.
Endoscopic fluorescence detection of high-grade dysplasia in Barrett's esophagus.

BACKGROUND & AIMS
Early detection and treatment of esophageal cancer in Barrett's esophagus may improve patient survival if dysplasia is effectively detected at endoscopy. Typically, four-quadrant pinch biopsy specimens are taken at 2-cm intervals. This study was conducted to determine whether laser-induced fluorescence spectroscopy could be used to detect high-grade dysplasia in patients with Barrett's esophagus.


METHODS
Four hundred ten-naonometer laser light was used to induce autofluorescence of Barrett's mucosa in 36 patients. The spectra were analyzed using the differential normalized fluorescence (DNF) index technique to differentiate high-grade dysplasia from either low-grade or nondysplastic mucosa. Each spectrum was classified as either premalignant or benign using two different DNF indices.


RESULTS
Analysis of the fluorescence spectra from all patients collectively using the DNF intensity at 480 nm (DNF480) index showed that 96% of nondysplastic Barrett's esophagus samples were classified as benign, all low-grade dysplasia samples as benign, 90% of high-grade dysplasia samples as premalignant, and 28% of low-grade with focal high-grade dysplasia samples as premalignant. Using the two DNF indices concurrently, all patients with any high-grade dysplasia were classified correctly.


CONCLUSIONS
Laser-induced fluorescence spectroscopy has great potential to detect high-grade dysplasia in Barrett's esophagus when using the DNF technique.
A Long Distance Underwater Visible Light Communication System With Single Photon Avalanche Diode

Underwater visible light communication (UVLC) is of great interest to the military, industry, and the scientific community. In this paper, a long-distance UVLC system is designed, where the half power angle of light-emitting diode (LED) is narrowed to enhance the optical intensity at the transmitter, and a single photon avalanche diode (SPAD) is employed at the receiver to improve the detection sensitivity. A two-term exponential channel model of a long distance UVLC system with a SPAD receiver is established, and the channel parameters are obtained by Monte Carlo numerical simulation. Furthermore, the SPAD detection algorithm and the optimal detection threshold of the UVLC system are proposed. Simulation results show that the communication distance could be extended to 500 m in pure seawater.
Compositional Vector Space Models for Knowledge Base Completion

Knowledge base (KB) completion adds new facts to a KB by making inferences from existing facts, for example by inferring with high likelihood nationality(X,Y) from bornIn(X,Y). Most previous methods infer simple one-hop relational synonyms like this, or use as evidence a multi-hop relational path treated as an atomic feature, like bornIn(X,Z)→ containedIn(Z,Y). This paper presents an approach that reasons about conjunctions of multi-hop relations non-atomically, composing the implications of a path using a recurrent neural network (RNN) that takes as inputs vector embeddings of the binary relation in the path. Not only does this allow us to generalize to paths unseen at training time, but also, with a single high-capacity RNN, to predict new relation types not seen when the compositional model was trained (zero-shot learning). We assemble a new dataset of over 52M relational triples, and show that our method improves over a traditional classifier by 11%, and a method leveraging pre-trained embeddings by 7%.
Differentiation of Self: A Validation Study of the Bowen Theory Construct

The Differentiation of Self Inventory—Revised (DSI-R; Skowron & Schmitt, 2003, “Assessing interpersonal fusion: Reliability and validity of a new DSI fusion with others subscale,” Journal of Marital and Family Therapy, 29, 209–222) assesses a central construct of Murray Bowen’s Family Systems Theory. Differentiation of self (DoS) consists of both intraand interpersonal dimensions, or the capacities for affect regulation and negotiating relational separateness and togetherness. In this study we examined the internal and external structure of the DSI-R with a sample of 749 university students. Confirmatory factor analysis supported a three-factor, first-order solution and offered evidence for a two-dimensional higher-order structure of DoS. The three factors exhibited acceptable reliability and demonstrated theoretically consistent associations with parentification and mental health symptoms. The results confirm the use of the DSI-R as a psychometrically sound measure of DoS. Implications for future research and clinical practice are addressed.
FaceNet: A unified embedding for face recognition and clustering

Despite significant recent advances in the field of face recognition [10, 14, 15, 17], implementing face verification and recognition efficiently at scale presents serious challenges to current approaches. In this paper we present a system, called FaceNet, that directly learns a mapping from face images to a compact Euclidean space where distances directly correspond to a measure offace similarity. Once this space has been produced, tasks such as face recognition, verification and clustering can be easily implemented using standard techniques with FaceNet embeddings asfeature vectors. Our method uses a deep convolutional network trained to directly optimize the embedding itself, rather than an intermediate bottleneck layer as in previous deep learning approaches. To train, we use triplets of roughly aligned matching / non-matching face patches generated using a novel online triplet mining method. The benefit of our approach is much greater representational efficiency: we achieve state-of-the-artface recognition performance using only 128-bytes perface. On the widely used Labeled Faces in the Wild (LFW) dataset, our system achieves a new record accuracy of 99.63%. On YouTube Faces DB it achieves 95.12%. Our system cuts the error rate in comparison to the best published result [15] by 30% on both datasets.
Status of Supersymmetric Grand Unified Theories

We begin with a brief discussion of the building blocks of supersymmetric grand unified theories. We recall some of the compelling theoretical reasons for viewing supersymmetric grand unification as an attractive avenue for physics beyond the standard model. This is followed by a discussion of some of the circumstantial evidence for these ideas.
Estrogen Receptor-alpha Phosphorylation at Serine 305 , Nuclear p 21-Activated Kinase 1 Expression , and Response to Tamoxifen in Postmenopausal Breast Cancer

Josefine Bostner, Lambert Skoog, Tommy Fornander, Bo Nordenskjöld and Olle Stål, Estrogen Receptor-alpha Phosphorylation at Serine 305, Nuclear p21-Activated Kinase 1 Expression, and Response to Tamoxifen in Postmenopausal Breast Cancer, 2010, Clinical Cancer Research, (16), 5, 1624-1633. http://dx.doi.org/10.1158/1078-0432.CCR-09-1733 Copyright: American Association for Cancer Research, Inc. http://www.aacr.org/
Automatic Text Summarization

Summarization is the art of abstracting key content from one or more information sources [6]. Summarization includes text summarization, image summarization, and video summarization. Text summarization is one of application of natural language processing and is becoming more popular for information condensation [1].Information is accessible in great quantity for every topic on internet assembly the key information in the form of summary would benefit a number of users. Automatic text summarization system generates a summary, i.e. it contains short length text which comprises all the key information of the document. Summary can be generated through extractive as well as abstractive methods.
Depression and Suicidality Outcomes in the Treatment of Early Age Mania Study.

OBJECTIVE
To assess the efficacy of mood-stabilizing medications for depression and suicidality in pediatric bipolar disorder.


METHOD
The Treatment of Early Age Mania (TEAM) study is a multicenter, prospective, randomized, masked comparison of divalproex sodium (VAL), lithium carbonate (LI), and risperidone (RISP) in an 8-week parallel clinical trial. A total of 279 children and adolescents with DSM-IV diagnoses of bipolar I disorder, mixed or manic, aged 6 to 15 years were enrolled. The primary outcome measure was improvement on the Clinical Global Impression scale for depression (CGI-BP-I-D). Secondary outcome measures included the Children's Depression Rating Scale (CDRS-R) and suicidality status. Statistics included longitudinal analysis of outcomes using generalized linear mixed models with random intercept both for the complete data set and by using last observation carried forward.


RESULTS
CGI-BP-I-D ratings were better in the RISP group (60.7%) as compared to the LI (42.2%; p = .03) or VAL (35.0%; p = .003) groups from baseline to the end of the study. CDRS scores in all treatment groups improved equally by study end. In week 1, scores were lower with RISP compared to VAL (mean = 4.72, 95% CI = 2.67, 6.78), and compared to LI (mean = 3.63, 95% CI = 1.51, 5.74), although group differences were not present by the end of the study. Suicidality was infrequent, and there was no overall effect of treatment on suicidality ratings.


CONCLUSION
Depressive symptoms, present in the acutely manic or mixed phase of pediatric bipolar disorder, improved with all 3 medications, though RISP appeared to yield more rapid improvement than LI or VAL and was superior using a global categorical outcome. Clinical trial registration information-Study of Outcome and Safety of Lithium, Divalproex and Risperidone for Mania in Children and Adolescents (TEAM); http://clinicaltrials.gov; NCT00057681.
Movement Demands of Elite U20 International Rugby Union Players

The purpose of this study was to quantify movement demands of elite international age grade (U20) rugby union players during competitive tournament match play. Forty elite professional players from an U20 international performance squad were monitored using 10 Hz global positioning systems (GPS) during 15 international tournament matches during the 2014/15 and 2015/16 seasons. Data on distances, velocities, accelerations, decelerations, high metabolic load (HML) distance and efforts, and number of sprints were derived. Data files from players who played over 60 min (n = 161) were separated firstly into Forwards and Backs, and more specifically into six positional groups; FR--Front Row (prop & hooker), SR--Second Row, BR--Back Row (Flankers & No.8), HB--Half Backs (scrum half & outside half), MF--Midfield (centres), B3--Back Three (wings & full back) for match analysis. Analysis revealed significant differences between forwards and backs positions. Backs scored higher on all variables measured with the exception of number of moderate accelerations, decelerations (no difference). The centres covered the greatest total distance with the front row covering the least (6.51 ± 0.71 vs 4.97 ± 0.75 km, p < 0.001). The front row also covered the least high speed running (HSR) distance compared to the back three (211.6 ± 112.7 vs 728.4 ± 150.2 m, p < 0.001) who covered the most HSR distance, affirming that backs cover greater distances but forwards have greater contact loads. These findings highlight for the first time differences in the movement characteristics of elite age grade rugby union players specific to positional roles.
Recent Progress on Programming Methods for Industrial Robots

Although an automated flexible production cell is an intriguing prospect for small to median enterprises (SMEs) in current global market conditions, the complexity of programming remains one of the major hurdles preventing automation using industrial robots for SMEs. This paper provides a comprehensive review of the recent research progresses on the programming methods for industrial robots, including online programming, offline programming (OLP), and programming using Augmented Reality (AR). With the development of more powerful 3D CAD/PLM software, computer vision, sensor technology, etc. new programming methods suitable for SMEs are expected to grow in years to come. (C) 2011 Elsevier Ltd. All rights reserved."
Adaptable setup for performance driven facial animation

Rather than capturing a specific performance we use capture-data for generating a sophisticated facial animation setup which may then be used to animate entirely new synthetic performances. As a basis for the facial setup an actor is motion captured performing a full set of facial movements conforming to Paul Ekman’s Facial Action Coding System (FACS). The tracked feature points contain nonlinear animation curves which in combination precisely describe the motion in all regions of the face during each Action Unit performance. The motion capture data is cleaned, normalized and separated from the global head movement.
A theory of well-connected relations

The simple concept of a well-connected relation (WCR) is defined and then developed into a theory for studying the structure of binary relations. Several interesting partitions of a binary relation are identified. It is shown that binary relations can be separated into families which form a hierarchy. Finally, concepts of universal algebra are extended to the family of “prime” relations. One application for the theory is in the logical design of data bases.
Persistent Problems in Measuring Household Production

Abstract. Three problems continue to plague household production researchers: definition of household production, method of dealing with joint‐production activities and the appropriate valuation of household production. Each of these problems is analyzed and ways of resolving it suggested. Particular attention is paid to the valuation question. It is shown here that the appropriate method of valuation is one which is consistent with economic theory. This, in turn, will depend critically on the purpose of valuation.
A Thematic Segmentation Procedure for Extracting Semantic Domains from Texts

Thematic analysis is essential for a lot of Natural Language Processing (NLP) applications, such as text summarization or information extraction. It is a two-dimensional process which has both to identify the thematic segments of a text and to recognize the semantic domain concerned by each of them. This second task requires having a representation of these domains. Such representations are built in Information Retrieval or Text Categorization fields by grouping together the words of a set of texts which have been manually linked to the same domain. We claim that this kind of method can only be apply to characterize very general topics. We propose here a method for building the representation of narrower semantic domains without any manual intervention. First, we present a procedure for the thematic segmentation of texts which relies on lexical cohesion evaluated from a collocation network. This procedure allows us to have basic units that are more thematically coherent than a whole text. Then, we show how these units can be aggregated together, according to a similarity measure, to build the representation of semantic domains in an incremental and unsupervised way.1
FEED-FORWARD ARTIFICIAL NEURAL NETWORKS : APPLICATIONS TO SPECTROSCOPY

Applications of multi-layer feed-forward artificial neural networks (ANN) to spectroscopy are reviewed. Network architecture and training algorithms are discussed. Backpropagation, the most commonly used training algorithm, is analyzed in greater detail. The following types of applications are considered: data reduction by means of neural networks, pattern recognition, multivariate regression, robust regression, and handling of instrumental drifts.
Theory-oriented evaluation for the design of and research in gaming and simulation

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Theory-oriented evaluation for the design of and research in gaming and simulation Willy Christian Kriz, Jan Hense
A Survey of Gcd-Sum Functions

We survey properties of the gcd-sum function and of its analogs. As new results, we establish asymptotic formulae with remainder terms for the quadratic moment and the reciprocal of the gcd-sum function and for the function defined by the harmonic mean of the gcd’s.
Association of transfusion red blood cell storage age and blood oxygenation, long-term neurologic outcome, and mortality in traumatic brain injury.

BACKGROUND
The effect of red blood cell (RBC) storage on oxygenation in critically ill patients is still unknown. The objective of this study was to determine the association of RBC storage with oxygenation, long-term neurologic recovery, and death after traumatic brain injury.


METHODS
We used data from a 2 × 2 factorial randomized controlled trial of administration of erythropoietin or placebo and of assignment to transfusion threshold of less than 7g/dL or less than 10 g/dL in neurosurgical intensive care units in two US Level 1 trauma centers. Patients had severe traumatic brain injury with closed head injury, were unable to follow commands, and were enrolled within 6 hours of injury. Blood oxygenation 1 hour after the transfusion as measured by jugular venous oxygen saturation (n = 59) was the primary outcome. Secondary outcomes were brain tissue oxygenation (n = 77), 6-month Glasgow Outcome Scale (GOS) score (n = 122) collected using a structured interview and dichotomized into favorable (good recovery or moderate disability) or unfavorable outcome (severe disability, vegetative state, or dead), and mortality (n = 125). RBC age was defined as the maximum age of RBCs over all units in one transfusion per patient. For long-term outcomes, RBC age was defined as the mean age over all units given.


RESULTS
We failed to detect an association of RBC age with jugular venous oxygen saturation (linear regression β = 1.59; 95% confidence interval [CI], -2.99 to 6.18; p = 0.49), brain tissue oxygenation (linear regression β = 0.20; 95% CI, -0.23 to 0.63; p = 0.36), GOS score (odds ratio, 1.37; 95% CI, 0.53-3.57; p = 0.52), and mortality (hazard ratio, 1.35; 95% CI, 0.61-2.98; p = 0.46).


CONCLUSION
Limitations of this study include the fact that the RBC ages were not randomized, although this was a prospective study. We conclude that older blood does not seem to have adverse effects in severe traumatic brain injury.


LEVEL OF EVIDENCE
Prognostic study, level III.
Multivariate LSTM-FCNs for Time Series Classification

Over the past decade, multivariate time series classification has been receiving a lot of attention. We propose augmenting the existing univariate time series classification models, LSTM-FCN and ALSTM-FCN with a squeeze and excitation block to further improve performance. Our proposed models outperform most of the state of the art models while requiring minimum preprocessing. The proposed models work efficiently on various complex multivariate time series classification tasks such as activity recognition or action recognition. Furthermore, the proposed models are highly efficient at test time and small enough to deploy on memory constrained systems. Keywords—Convolutional neural network, long short term memory, recurrent neural network, multivariate time series classification