Miracle-dz/UniFAR-FTUs huggingface dataset:
Aalborg Universitet Alcohol screening in North Denmark Region hospitals

Background: Alcohol consumption is a risk factor for disease, disability and death. Approximately 20% of all hospital admissions are alcohol related. In Denmark, hospitalised patients undergo systematic health risk screenings to establish preventive initiatives if the screening detects a risk. The frequency and usability of alcohol screening and health professionals’ experiences of the screening is unknown. Aim: To examine the frequency and usability of alcohol screening at North Denmark Region hospitals, as well as health professionals’ experiences of screening for alcohol. Submitted: 28 November 2016; accepted: 9 January 2017 Corresponding author: Mette Grønkjær, Department of Clinical Medicine, Clinical Nursing Research Unit, Aalborg University Hospital, Aalborg University, Sdr. Skovvej 15, 9000 Aalborg, Denmark. Email: mette.groenkjaer@rn.dk Nordic Studies on Alcohol and Drugs 2017, Vol. 34(3) 230–242 a The Author(s) 2017 Reprints and permission: sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/1455072517691057 journals.sagepub.com/home/nad Creative Commons CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). Methods: This study consisted of an initial audit of 120 patient records from medical and surgical units at four hospitals assessing information on alcohol screening. This was followed by six focusgroup interviews with health professionals (n 1⁄4 20) regarding their experiences of conducting alcohol screening. Results: Among overall health screenings, screening for alcohol and tobacco smoking was performed most frequently (81.8% and 85%). Alcohol screening scored the lowest percentage for usability (67.7%). Hospital-based alcohol screening was perceived ambiguously leading to a schism between standardised alcohol screening and the individual needs of the patient. Health professionals described different patient types, each with their perceived needs, and screening was associated with taboo and reluctance to engage in alcohol screening of some patient groups. Conclusion: This study revealed factors that influence health professionals working with hospital-based alcohol screening. The variation in and complexity of alcohol screening suggests that screening practice is an ambiguous task that needs continuous reflection and development to ensure that health professionals are prepared for the task.
Non-isolation Soft-switching Buck Converter with Tapped-Inductor for Wide-input Extreme Step-down applications

In this paper, a new zero-voltage switching (ZVS) buck converter with a tapped-inductor is proposed. This converter improves the conventional tapped inductor critical conduction mode (CRM) buck converters that have the ZVS operation range determined by the tapped-inductor turn ratios. It includes another soft switching range extension method, the current injection (CI) method, which gives an additional design freedom for the selection of the turn-ratios and enables the optimal design of the winding ratio of the tapped-inductor so that both the switching loss and the conduction loss may be minimized. This soft-switching buck converter is suitable for extremely low step-down ratio applications. The principle of the proposed scheme, analysis of the operation, and design guidelines are included. Finally, the experimental result of the 100 W prototype DC/DC converter is given for hardware verification
Valproic Acid Is a Novel Activator of AMP-Activated Protein Kinase and Decreases Liver Mass, Hepatic Fat Accumulation, and Serum Glucose in Obese Mice

Valproic acid (VPA) is a widely prescribed anticonvulsant for the treatment of epilepsy. Here we demonstrate that VPA is a novel activator of AMP-activated protein kinase (AMPK), a key regulator of cellular metabolism, using primary mouse and human hepatocytes. Incubation of primary mouse hepatocytes with VPA resulted in increased levels of phosphorylated AMPK and acetyl-CoA carboxylase (ACC). This finding was recapitulated using primary human hepatocytes. Pretreatment of mouse hepatocytes with a small-molecule inhibitor of AMPK, Compound C (6-[4-(2-piperidin-1-ylethoxy)phenyl]-3-pyridin-4-ylpyrazolo[1,5-a]pyrimidine), abrogated the phosphorylation of ACC following treatment with VPA. The cytochrome P450 inhibitor 1-aminobenzotriazole blocked the VPA-stimulated phosphorylation of AMPK, suggesting a requirement for biotransformation of VPA. In line with this, treatment of hepatocytes with metabolites of VPA resulted in increased phosphorylation of AMPK/ACC as compared with VPA. Treatment of ob/ob mice with VPA for 14 days resulted in decreased liver masses, hepatic fat accumulation, and serum glucose. These results paralleled those observed in mice treated with metformin. In addition, a targeted mass spectrometry–based metabolomics assay revealed several small molecules that were differentially abundant in the serum of ob/ob mice treated with VPA as compared with vehicle-treated mice. These studies are the first to establish VPA and its metabolites as in vitro activators of AMPK.
Efficacy of olanzapine and olanzapine-fluoxetine combination in the treatment of bipolar I depression.

BACKGROUND Despite the longer duration of the depressive phase in bipolar disorder and the frequent clinical use of antidepressants combined with antipsychotics or mood stabilizers, relatively few controlled studies have examined treatment strategies for bipolar depression. OBJECTIVE To examine the use of olanzapine and olanzapine-fluoxetine combination in the treatment of bipolar I depression. DESIGN Double-blind, 8-week, randomized controlled trial. SETTING Eighty-four sites (inpatient and outpatient) in 13 countries. Patients A total of 833 randomized adults with bipolar I depression with a Montgomery-Asberg Depression Rating Scale (MADRS) score of at least 20. Intervention Patients were randomly assigned to receive placebo (n = 377); olanzapine, 5 to 20 mg/d (n = 370); or olanzapine-fluoxetine combination, 6 and 25, 6 and 50, or 12 and 50 mg/d (n = 86). MAIN OUTCOME MEASURE Changes in MADRS total scores using mixed-effects model repeated-measures analyses. RESULTS During all 8 study weeks, the olanzapine and olanzapine-fluoxetine groups showed statistically significant improvement in depressive symptoms vs the placebo group (P<.001 for all). The olanzapine-fluoxetine group also showed statistically greater improvement than the olanzapine group at weeks 4 through 8. At week 8, MADRS total scores were lower than at baseline by 11.9, 15.0, and 18.5 points in the placebo, olanzapine, and olanzapine-fluoxetine groups, respectively. Remission criteria were met by 24.5% (87/355) of the placebo group, 32.8% (115/351) of the olanzapine group, and 48.8% (40/82) of the olanzapine-fluoxetine group. Treatment-emergent mania (Young Mania Rating Scale score <15 at baseline and > or =15 subsequently) did not differ among groups (placebo, 6.7% [23/345]; olanzapine, 5.7% [19/335]; and olanzapine-fluoxetine, 6.4% [5/78]). Adverse events for olanzapine-fluoxetine therapy were similar to those for olanzapine therapy but also included higher rates of nausea and diarrhea. CONCLUSIONS Olanzapine is more effective than placebo, and combined olanzapine-fluoxetine is more effective than olanzapine and placebo in the treatment of bipolar I depression without increased risk of developing manic symptoms.
Design and measurement of High Impedance Surface

The design process of High Impedance Surface (HIS) is a challenge in realizing low-profile antenna. To carry out properly this process, a 3D-electromagnetic simulator is required. This paper shows an overview of the different numerical techniques which can be applied to simulate the behaviour of an HIS using CST Microwave Studio ® (CST MWS). The considered HIS is composed of a metallic square patches array printed on the top of a metal backed substrate. To demonstrate the validity of the different solvers used, some measurements of the dedicated structure have been performed in a waveguide simulator.
Shape-changing mobiles: tapering in one-dimensional deformational displays in mobile phones

In this paper, we present a new shape-based display technique for mobile phones: A rotatory deformation of the phone's chassis, resulting in a tapering between the phone's front and back panel. It draws on proprioceptive skills of the human hand, which we hypothesize to be sensitive to paralellism and tapering of two opposing panels. We present a number of applications for such an actuation system: Interactive Feedback, User Notification, and Ambient Display. The proposed system is evaluated in a user study, which results point to certain advantages, as well as drawbacks, in comparison to other mobile actuation systems. We conclude by discussing areas in which tapering-based deformational displays may be used advantageously, and how the proposed system may be improved in the future.
Reduced-dimension multiuser detection

We explore several reduced-dimension multiuser detection (RD-MUD) structures that significantly decrease the number of required correlation branches at the receiver front-end, while still achieving performance similar to that of the conventional matched-filter (MF) bank. RD-MUD exploits the fact that the number of active users is typically small relative to the total number of users in the system and relies on ideas of analog compressed sensing to reduce the number of correlators. We first develop a general framework for both linear and nonlinear RD-MUD structures. We then present theoretical performance analysis for two specific detectors: the linear reduced-dimension decorrelating (RDD) detector, which combines subspace projection and thresholding to determine active users and sign detection for data recovery, and the nonlinear reduced-dimension decision-feedback (RDDF) detector, which combines decision-feedback orthogonal matching pursuit for active user detection and sign detection for data recovery. The theoretical performance results for both detectors are validated via numerical simulations.
Sequential Logic Model Deciphers Dynamic Transcriptional Control of Gene Expressions

Background Cellular signaling involves a sequence of events from ligand binding to membrane receptors through transcription factors activation and the induction of mRNA expression. The transcriptional-regulatory system plays a pivotal role in the control of gene expression. A novel computational approach to the study of gene regulation circuits is presented here. Methodology Based on the concept of finite state machine, which provides a discrete view of gene regulation, a novel sequential logic model (SLM) is developed to decipher control mechanisms of dynamic transcriptional regulation of gene expressions. The SLM technique is also used to systematically analyze the dynamic function of transcriptional inputs, the dependency and cooperativity, such as synergy effect, among the binding sites with respect to when, how much and how fast the gene of interest is expressed. Principal Findings SLM is verified by a set of well studied expression data on endo16 of Strongylocentrotus purpuratus (sea urchin) during the embryonic midgut development. A dynamic regulatory mechanism for endo16 expression controlled by three binding sites, UI, R and Otx is identified and demonstrated to be consistent with experimental findings. Furthermore, we show that during transition from specification to differentiation in wild type endo16 expression profile, SLM reveals three binary activities are not sufficient to explain the transcriptional regulation of endo16 expression and additional activities of binding sites are required. Further analyses suggest detailed mechanism of R switch activity where indirect dependency occurs in between UI activity and R switch during specification to differentiation stage. Conclusions/Significance The sequential logic formalism allows for a simplification of regulation network dynamics going from a continuous to a discrete representation of gene activation in time. In effect our SLM is non-parametric and model-independent, yet providing rich biological insight. The demonstration of the efficacy of this approach in endo16 is a promising step for further application of the proposed method.
2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure

Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland), Adriaan A. Voors* (Co-Chairperson) (The Netherlands), Stefan D. Anker (Germany), Héctor Bueno (Spain), John G. F. Cleland (UK), Andrew J. S. Coats (UK), Volkmar Falk (Germany), José Ramón González-Juanatey (Spain), Veli-Pekka Harjola (Finland), Ewa A. Jankowska (Poland), Mariell Jessup (USA), Cecilia Linde (Sweden), Petros Nihoyannopoulos (UK), John T. Parissis (Greece), Burkert Pieske (Germany), Jillian P. Riley (UK), Giuseppe M. C. Rosano (UK/Italy), Luis M. Ruilope (Spain), Frank Ruschitzka (Switzerland), Frans H. Rutten (The Netherlands), Peter van der Meer (The Netherlands)
An Enhanced Impulse Noise Filter Using the Homogeneity Level of the Local Region

This paper proposes a new way to detect whether the current pixel is contaminated, which is based on the homogeneity level of the local region around that pixel. Then, we combine this idea with the Adaptive impulse detection using center-weighted median (ACWM) filter and Directional weighted median (DWM) filter to get the new efficient filter: Region Filter (RF). Extensive experiments show that with the low noise level (≤ 25%), the RF not only outperforms many well-known techniques, but also can preserve highly detail features.
Exterminator: automatically correcting memory errors with high probability

Programs written in C and C++ are susceptible to memory errors, including buffer overflows and dangling pointers. These errors, whichcan lead to crashes, erroneous execution, and security vulnerabilities, are notoriously costly to repair. Tracking down their location in the source code is difficult, even when the full memory state of the program is available. Once the errors are finally found, fixing them remains challenging: even for critical security-sensitive bugs, the average time between initial reports and the issuance of a patch is nearly one month. We present Exterminator, a system that automatically correct sheap-based memory errors without programmer intervention. Exterminator exploits randomization to pinpoint errors with high precision. From this information, Exterminator derives runtime patches that fix these errors both in current and subsequent executions. In addition, Exterminator enables collaborative bug correction by merging patches generated by multiple users. We present analytical and empirical results that demonstrate Exterminator's effectiveness at detecting and correcting both injected and real faults.
The UCSC Genome Browser database: update 2010

The University of California, Santa Cruz (UCSC) Genome Browser website (http://genome.ucsc.edu/) provides a large database of publicly available sequence and annotation data along with an integrated tool set for examining and comparing the genomes of organisms, aligning sequence to genomes, and displaying and sharing users’ own annotation data. As of September 2009, genomic sequence and a basic set of annotation ‘tracks’ are provided for 47 organisms, including 14 mammals, 10 non-mammal vertebrates, 3 invertebrate deuterostomes, 13 insects, 6 worms and a yeast. New data highlights this year include an updated human genome browser, a 44-species multiple sequence alignment track, improved variation and phenotype tracks and 16 new genome-wide ENCODE tracks. New features include drag-and-zoom navigation, a Wiki track for user-added annotations, new custom track formats for large datasets (bigBed and bigWig), a new multiple alignment output tool, links to variation and protein structure tools, in silico PCR utility enhancements, and improved track configuration tools.
A new block-exact fast LMS/Newton adaptive filtering algorithm

This correspondence proposes a new block-exact fast least-mean squares (LMS)/Newton algorithm for adaptive filtering. It is obtained by exploiting the shifting property of the whitened input of the fast LMS/Newton algorithm so that a block-exact update can be carried out in the LMS part of the algorithm. The proposed algorithm has significantly less computational complexity than, but exact mathematical equivalence to, the fast LMS/Newton algorithm. Since short block length is allowed, the processing delay introduced is not excessively large as in conventional block filtering generalization. Implementation issues and the experimental results are given to illustrate the principle and efficiency of the proposed algorithm.
Ketone supplementation decreases tumor cell viability and prolongs survival of mice with metastatic cancer

Cancer cells express an abnormal metabolism characterized by increased glucose consumption owing to genetic mutations and mitochondrial dysfunction. Previous studies indicate that unlike healthy tissues, cancer cells are unable to effectively use ketone bodies for energy. Furthermore, ketones inhibit the proliferation and viability of cultured tumor cells. As the Warburg effect is especially prominent in metastatic cells, we hypothesized that dietary ketone supplementation would inhibit metastatic cancer progression in vivo. Proliferation and viability were measured in the highly metastatic VM‐M3 cells cultured in the presence and absence of β‐hydroxybutyrate (βHB). Adult male inbred VM mice were implanted subcutaneously with firefly luciferase‐tagged syngeneic VM‐M3 cells. Mice were fed a standard diet supplemented with either 1,3‐butanediol (BD) or a ketone ester (KE), which are metabolized to the ketone bodies βHB and acetoacetate. Tumor growth was monitored by in vivo bioluminescent imaging. Survival time, tumor growth rate, blood glucose, blood βHB and body weight were measured throughout the survival study. Ketone supplementation decreased proliferation and viability of the VM‐M3 cells grown in vitro, even in the presence of high glucose. Dietary ketone supplementation with BD and KE prolonged survival in VM‐M3 mice with systemic metastatic cancer by 51 and 69%, respectively (p < 0.05). Ketone administration elicited anticancer effects in vitro and in vivo independent of glucose levels or calorie restriction. The use of supplemental ketone precursors as a cancer treatment should be further investigated in animal models to determine potential for future clinical use.
Detecting shape deformation of soft objects using directional photoreflectivity measurement

We present the FuwaFuwa sensor module, a round, hand-size, wireless device for measuring the shape deformations of soft objects such as cushions and plush toys. It can be embedded in typical soft objects in the household without complex installation procedures and without spoiling the softness of the object because it requires no physical connection. Six LEDs in the module emit IR light in six orthogonal directions, and six corresponding photosensors measure the reflected light energy. One can easily convert almost any soft object into a touch-input device that can detect both touch position and surface displacement by embedding multiple FuwaFuwa sensor modules in the object. A variety of example applications illustrate the utility of the FuwaFuwa sensor module. An evaluation of the proposed deformation measurement technique confirms its effectiveness.
RNAmmer: consistent and rapid annotation of ribosomal RNA genes

The publication of a complete genome sequence is usually accompanied by annotations of its genes. In contrast to protein coding genes, genes for ribosomal RNA (rRNA) are often poorly or inconsistently annotated. This makes comparative studies based on rRNA genes difficult. We have therefore created computational predictors for the major rRNA species from all kingdoms of life and compiled them into a program called RNAmmer. The program uses hidden Markov models trained on data from the 5S ribosomal RNA database and the European ribosomal RNA database project. A pre-screening step makes the method fast with little loss of sensitivity, enabling the analysis of a complete bacterial genome in less than a minute. Results from running RNAmmer on a large set of genomes indicate that the location of rRNAs can be predicted with a very high level of accuracy. Novel, unannotated rRNAs are also predicted in many genomes. The software as well as the genome analysis results are available at the CBS web server.
A New Approach for Real-Time Detection of Abandoned and Stolen Objects

in this paper a new approach aimed at automatic identify events of abandoned and stolen objects detection in video surveillance system is described. Our method mainly includes three steps of data processing: the first processing phrase is object extraction, involving a background subtraction algorithm which dynamically updates two sets of background. Then, extracted objects are classified as static or dynamic objects. Finally, a decision-making model is employed to calculate a confidence score for the classification about event, and an alarm will be automatically triggered if the score of corresponding action is higher than a pre-defined threshold. Also, the robustness and efficiency of the method is tested on our real-time video surveillance system and evaluated by public database such as AVSS 2007 datasets.
Tighter Lower Bounds for Nearest Neighbor Search and Related Problems in the Cell Probe Model

We prove new lower bounds for nearest neighbor search in the Hamming cube. Our lower bounds are for randomized, two-sided error, algorithms in Yao's cell probe model. Our bounds are in the form of a tradeoff among the number of cells, the size of a cell, and the search time. For example, suppose we are searching among n points in the d dimensional cube, we use poly(n,d) cells, each containing poly(d, log n) bits. We get a lower bound of Ω(d/log n) on the search time, a significant improvement over the recent bound of Ω(log d) of Borodin et al. This should be contrasted with the upper bound of O(log log d) for approximate search (and O(1) for a decision version of the problem; our lower bounds hold in that case). By previous results, the bounds for the cube imply similar bounds for nearest neighbor search in high dimensional Euclidean space, and for other geometric problems.
The role of STEP in Alzheimer's disease

Amyloid beta (Aβ), the putative causative agent in Alzheimer's disease, is known to affect glutamate receptor trafficking. Previous studies have shown that Aβ down-regulates the surface expression of N-methyl D-aspartate type glutamate receptors (NMDARs) by the activation of STriatal-Enriched protein tyrosine Phosphatase 61 (STEP61). More recent findings confirm that STEP61 plays an important role in Aβ-induced NMDAR endocytosis. STEP levels are elevated in human AD prefrontal cortex and in the cortex of several AD mouse models. The increase in STEP61 levels and activity contribute to the removal of GluN1/GluN2B receptor complexes from the neuronal surface membranes. The elevation of STEP61 is due to disruption in the normal degradation of STEP61 by the ubiquitin proteasome system. Here, we briefly discuss additional studies in support of our hypothesis that STEP61 contributes to aspects of the pathophysiology in Alzheimer's disease. Exogenous application of Aβ-enriched conditioned medium (7PA2-CM) to wild-type cortical cultures results in a loss of GluN1/GluN2B subunits from neuronal membranes. Aβ-mediated NMDAR internalization does not occur in STEP knock-out cultures, but is rescued by the addition of active TAT-STEP to the cultures prior to Aβ treatment.