LLukas22/scidocs huggingface dataset:
A multi-scene deep learning model for image aesthetic evaluation

Aesthetic evaluation of images has attracted a lot of research interests recently. Previous work focused on extracting handcrafted image features or generic image descriptors to build statistical model for aesthetic evaluation. However, the effectiveness of these approaches is limited by researchers' understanding on the aesthetic rules. In this paper, we present a Multi-Scene Deep Learning Model (MSDLM) to enable automatic aesthetic feature learning. This deep learning model achieves better results because it improves performance on some major problems, including limited data amount and categories, scenes dependent evaluation, unbalanced dataset, noise data etc. Major innovations are as follows. (1) We design a scene convolutional layer consist of multi-group descriptors in the network elaborately so that the model has a comprehensive learning capacity for image aesthetic. (2) We design a pre-training procedure to initialize our model. Through pre-training the multi-group descriptors discriminatively, our model can extract specific aesthetic features for various scenes, and reduce the impact of noise data when building the model. Experimental results show that our approach significantly outperforms existing methods on two benchmark datasets. Keyword: Deep learning, Image aesthetic, Multi-scene deep learning model, Pre-training
Increased Coronary Perivascular Adipose Tissue Volume in Patients With Vasospastic Angina.

BACKGROUND
Recent studies have suggested that coronary perivascular adipose tissue (PVAT) impairs coronary vasomotion, so we examined whether PVAT is increased at the spastic coronary segment in patients with vasospastic angina (VSA).


METHODSANDRESULTS
PVAT volume in the left anterior descending (LAD) coronary arteries on CT coronary angiography was significantly increased in 48 VSA patients with LAD spasm compared with 18 controls (30.7±2.0 vs. 21.0±3.2 cm(3), P=0.01), whereas that of total epicardial adipose tissue was comparable between the 2 groups.


CONCLUSIONS
The results suggested an important role of PVAT in the pathogenesis of coronary spasm. (Circ J 2016; 80: 1653-1656).
Understanding behavioral and physiological phenotypes of stress and anxiety in zebrafish

The zebrafish (Danio rerio) is emerging as a promising model organism for experimental studies of stress and anxiety. Here we further validate zebrafish models of stress by analyzing how environmental and pharmacological manipulations affect their behavioral and physiological phenotypes. Experimental manipulations included exposure to alarm pheromone, chronic exposure to fluoxetine, acute exposure to caffeine, as well as acute and chronic exposure to ethanol. Acute (but not chronic) alarm pheromone and acute caffeine produced robust anxiogenic effects, including reduced exploration, increased erratic movements and freezing behavior in zebrafish tested in the novel tank diving test. In contrast, ethanol and fluoxetine had robust anxiolytic effects, including increased exploration and reduced erratic movements. The behavior of several zebrafish strains was also quantified to ascertain differences in their behavioral profiles, revealing high-anxiety (leopard, albino) and low-anxiety (wild type) strains. We also used LocoScan (CleverSys Inc.) video-tracking tool to quantify anxiety-related behaviors in zebrafish, and dissect anxiety-related phenotypes from locomotor activity. Finally, we developed a simple and effective method of measuring zebrafish physiological stress responses (based on a human salivary cortisol assay), and showed that alterations in whole-body cortisol levels in zebrafish parallel behavioral indices of anxiety. Collectively, our results confirm zebrafish as a valid, reliable, and high-throughput model of stress and affective disorders.
Engaging and retaining abused women in perinatal home visitation programs.

OBJECTIVES
Intimate partner violence (IPV) during pregnancy affects 0.9% to 17% of women and affects maternal health significantly. The impact of IPV extends to the health of children, including an increased risk of complications during pregnancy and the neonatal period, mental health problems, and cognitive delays. Despite substantial sequelae, there is limited research substantiating best practices for engaging and retaining high-risk families in perinatal home visiting (HV) programs, which have been shown to improve infant development and reduce maltreatment.


METHODS
The Domestic Violence Enhanced Home Visitation Program (DOVE) is a multistate longitudinal study testing the effectiveness of a structured IPV intervention integrated into health department perinatal HV programs. The DOVE intervention, based on an empowerment model, combined 2 evidence-based interventions: a 10-minute brochure-based IPV intervention and nurse home visitation.


RESULTS
Across all sites, 689 referrals were received from participating health departments. A total of 339 abused pregnant women were eligible for randomization; 42 women refused, and 239 women were randomly assigned (124 DOVE; 115 usual care), resulting in a 71% recruitment rate. Retention rates from baseline included 93% at delivery, 80% at 3 months, 76% at 6 months, and 72% at 12 months.


CONCLUSIONS
Challenges for HV programs include identifying and retaining abused pregnant women in their programs. DOVE strategies for engaging and retaining abused pregnant women should be integrated into HV programs' federal government mandates for the appropriate identification and intervention of women and children exposed to IPV.
2017 AHA/ACC/HRS Guideline for Management of Patients With Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death: Executive Summary.

WRITING COMMITTEE MEMBERS Sana M. Al-Khatib, MD, MHS, FACC, FAHA, FHRS, Chair William G. Stevenson, MD, FACC, FAHA, FHRS, Vice Chair* Michael J. Ackerman, MD, PhD*† Anne M. Gillis, MD, FHRS*† William J. Bryant, JD, LLM† Mark A. Hlatky, MD, FACC, FAHA† David J. Callans, MD, FACC, FHRS*‡ Christopher B. Granger, MD, FACC, FAHA*† Anne B. Curtis, MD, FACC, FAHA, FHRS*† Stephen C. Hammill, MD, FACC, FHRS‡ Barbara J. Deal, MD, FACC, FAHA† José A. Joglar, MD, FACC, FAHA, FHRS║ Timm Dickfeld, MD, PhD, FHRS*† G. Neal Kay, MD† Michael E. Field, MD, FACC, FAHA, FHRS† Daniel D. Matlock, MD, MPH† Gregg C. Fonarow, MD, FACC, FAHA, FHFSA*§ Robert J. Myerburg, MD, FACC† Richard L. Page, MD, FACC, FAHA, FHRS‡
Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control

OBJECTIVE
The aim of this study was to review existing research into driver control transitions and to determine the time it takes drivers to resume control from a highly automated vehicle in noncritical scenarios.


BACKGROUND
Contemporary research has moved from an inclusive design approach to adhering only to mean/median values when designing control transitions in automated driving. Research into control transitions in highly automated driving has focused on urgent scenarios where drivers are given a relatively short time span to respond to a request to resume manual control. We found a paucity in research into more frequent scenarios for control transitions, such as planned exits from highway systems.


METHOD
Twenty-six drivers drove two scenarios with an automated driving feature activated. Drivers were asked to read a newspaper, or to monitor the system, and to relinquish, or resume, control from the automation when prompted by vehicle systems.


RESULTS
Significantly longer control transition times were found between driving with and without secondary tasks. Control transition times were substantially longer than those reported in the peer-reviewed literature.


CONCLUSION
We found that drivers take longer to resume control when under no time pressure compared with that reported in the literature. Moreover, we found that drivers occupied by a secondary task exhibit larger variance and slower responses to requests to resume control. Workload scores implied optimal workload.


APPLICATION
Intra- and interindividual differences need to be accommodated by vehicle manufacturers and policy makers alike to ensure inclusive design of contemporary systems and safety during control transitions.
Nanoindentation: hardness and phase transition in silicon

Abstract The hardness of a thin film of silicon is studied in the framework of the 3D Hertzian contact theory. The anisotropy and the anharmonicity of silicon are taken into account for the first time. It is shown that the contribution of plasticity to the hardness of silicon is significant while we know that it possesses strong covalent bonds and dislocations must be thermally activated in this material. The semiconductor–metal phase transition, driven by the tetragonal shear strain superimposed on the non-hydrostatic pressure generated by a diamond indenter, is also studied. For this aim, the Landau theory of phase transitions and the contact theory are combined. The comparison with available nanoindentation experiments is made.
Switching to boosted protease inhibitor plus a second antiretroviral drug (dual therapy) for treatment simplification: a multicenter observational study

BACKGROUND
Aim of the study was to assess predictors of discontinuation/toxicity of boosted PI-based (PI/r) dual therapy (DT).


METHODS
Observational, retrospective switch study in patients successfully treated with triple drugs regimen. Patients switched to PI/r based DT [darunavir (DRV/r), lopinavir (LPV/r) or atazanavir (ATV/r)] plus a second drug: [raltegravir (RAL), maraviroc (MVC) etravirine (ETR), lamivudine (3TC) or tenofovir (TDF)] between 2009 and 2014 were included. The effect of each drug as well as other clinical and virological cofactors over treatment discontinuation (TD) was assessed using survival analysis.


RESULTS
Overall, 376 patients were included with mean follow-up of 73 weeks. The most commonly used drugs in DT were DRV/r (63.0 %) and RAL (53.7 %). TD was observed in 77 (20,4 %) patients: 38 (10,1 %) virological failure, 35 (9,3 %) toxicity/intolerance (4 deaths) and 4 (1 %) interruptions for patients decision. At Cox Model, adjusted by demographic and laboratory variables, DRV/r and ATV/r significantly reduced the likelihood of TD and longer treatment was associated with lower risk, while low CD4 count at baseline and number of previous regimens with a higher risk. Moreover, RAL and 3TC use were significantly associated with lower TD by toxicity.


CONCLUSIONS
In our clinical practice experience, switching virologically suppressed patients to PI/r based DT showed adequate safety and efficacy, so that it may be used in selected patients with specific medical needs.
Reduction of anterior dislocation of the shoulder: the Spaso technique

Address for correspondence; Assoc Prof A-M Kelly Department of Emergency Medicine Western Hospital Private Bag, Footscray 3011 Email: Anne-Maree.Keily@whcn.org.au Introduction Anterior dislocation of the shoulder is the most common major joint dislocation encountered in emergency departments. Reduction of these dislocations is one of a range of procedures in which emergency physicians need to be skilled. A number of methods of closed reduction have been described with varying success rates. This paper describes a method (developed by the main author) that is simple, applies minimal force, is able to be performed by a single operator and is highlv effective, even in inexperienced hands.
Treatment persistence and compliance with a combination of calcium and vitamin D.

INTRODUCTION
The persistence and compliance of patients in Spain with calcium and vitamin D supplementation are unknown, and thus the purpose of the present study was to determine the current figures.


METHODS
This was a multicenter, cross-sectional study. Throughout Spain, 1342 primary-care physicians and specialists were asked to recruit 7888 patients aged 45 years or over, who had been prescribed with a calcium and vitamin D combination (CaVitD) at least 1 year prior to the study. Data on biodemographics, the reason for prescription and fracture risk factors were collected. Persistence with treatment, reasons for discontinuation, and compliance among persistent patients were assessed and patients' profiles analyzed.


RESULTS
From the recruited sample, a total of 7624 patients were finally analyzed. Most subjects were postmenopausal (mean age 65.7 ± 9.4 years). The main reason for CaVitD prescription was osteoporosis (56.3%), started 2-5 years earlier. A family history of osteoporosis (41.4%) and previous fractures (40.7%) occurred frequently in the patients' clinical histories. At the study visit, 27.7% had discontinued CaVitD treatment, the main reason being fatigue due to the long-term treatment. Just 31.2% of persistent patients were adherent. Non-persistent patients were more likely to be smokers, alcohol consumers, have a long immobilization history, malabsorption syndrome and previous bone fractures.


CONCLUSIONS
Only two in ten patients effectively comply with CaVitD treatment after 1 year or more of its prescription.
Geometric inhomogeneous random graphs

For the theoretical study of real-world networks, we propose a model of scale-free random graphs with underlying geometry that we call geometric inhomogeneous random graphs (GIRGs). GIRGs generalize hyperbolic random graphs, which are a popular model to test algorithms for social and technological networks. Our generalization overcomes some limitations of hyperbolic random graphs, which were previously restricted to one dimension. Nevertheless, our model is technically much simpler, while preserving the qualitative behaviour of hyperbolic random graphs. We prove that our model has the main properties that are associated with social and technological networks, in particular power law degrees, a large clustering coefficient, a small diameter, an ultrasmall average distance, and small separators. Notably, we determine the average distance of two randomly chosen nodes up to a factor 1 + o(1). Some of the results were previously unknown even for the hyperbolic case. To make it possible to test algorithms on large instances of our model, we present an expectedlinear-time sampling algorithm for such graphs. In particular, we thus improve substantially on the best known sampling algorithm for hyperbolic random graphs, which had runtime Ω(n). Moreover, we show that with the compression schemes developed for technological graphs like the web graph, it is possible to store a GIRG with constantly many bits per edge in expectation, and still query the i-th neighbor of a vertex in constant time. For these reasons, we suggest to replace hyperbolic random graphs by our new model in future theoretical and experimental studies. Acknowledgement We thank Hafsteinn Einarsson, Tobias Friedrich and Anton Krohmer for helpful discussions. Supported by an ETH Zurich Postdoctoral Fellowship, karlb@inf.ethz.ch ‡ rkeusch@inf.ethz.ch § lenglerj@inf.ethz.ch
Testing two principles of the Health Action Process Approach in individuals with type 2 diabetes.

OBJECTIVE
The Health Action Process Approach (HAPA) proposes principles that can be translated into testable hypotheses. This is one of the first studies to have explicitly tested HAPA's first 2 principles, which are (1) health behavior change process can be subdivided into motivation and volition, and (2) volition can be grouped into intentional and action stages. The 3 stage groups are labeled preintenders, intenders, and actors.


METHOD
The hypotheses of the HAPA model were investigated in a sample of 1,193 individuals with Type 2 diabetes. Study participants completed a questionnaire assessing the HAPA variables. The hypotheses were evaluated by examining mean differences of test variables and by the use of multigroup structural equation modeling (MSEM).


RESULTS
Findings support the HAPA's 2 principles and 3 distinct stages. The 3 HAPA stages were significantly different in several stage-specific variables, and discontinuity patterns were found in terms of nonlinear trends across means. In terms of predicting goals, action planning, and behavior, differences transpired between the 2 motivational stages (preintenders and intenders), and between the 2 volitional stages (intenders and actors).


CONCLUSIONS
Results indicate implications for supporting behavior change processes, depending on in which stage a person is at: All individuals should be helped to increase self-efficacy. Preintenders and intenders require interventions targeting outcome expectancies. Actors benefit from an improvement in action planning to maintain and increase their previous behavior. Overall, the first 2 principles of the HAPA were supported and some evidence for the other principles was found. Future research should experimentally test these conclusions.
Frequencies of falls in Swiss hospitals: concordance between nurses' estimates and fall incident reports.

BACKGROUND
Patient falls are frequent incidents in hospitals, and various measurement methods are described in the literature to assess in-patient fall rates. However, the literature includes no validation of nurses' estimates of fall frequencies, which are the preferred assessment method in multi-centre surveys.


OBJECTIVES
To explore the concordance of nurses' estimated fall frequencies with continuously collected data.


DESIGN
Cross-sectional, correlational secondary data analysis.


SAMPLE/SETTING
Patient fall data from 21 wards in 2 Swiss acute care hospitals participating in the RICH Nursing Study.


METHODS
Registered nurses' (N=233) estimated fall frequencies, assessed by the International Hospital Outcome Study questionnaire in absolute number of falls over the last month, and, using a four-point Likert scale (never=1; frequently=4), over the last year, were compared to standardized hospital fall incident reports compiled over the same periods. Fall incident reports for the last month were assessed in absolute numbers and were calculated as fall rates per 1000 patient days, with data computed at the ward level. The concordance with nurses' estimates was then tested using Spearman's rho and Kendall's tau correlations.


RESULTS
The mean last-year fall frequencies estimated by nurses on the four-point Likert scale ranged from 1.4 to 3.1 for non-injurious falls and from 1.0 to 2.6 for injurious falls per ward. The fall rates assessed using fall incident reports over the same period ranged from 0.1 to 3.8 non-injurious falls per 1000 patient days and from 0.1 to 2.6 injurious falls per ward. Nurses' estimates and fall incident reports correlated significantly regarding the last year, both for injurious falls (r=0.685, p=0.014) and non-injurious falls (r=0.630, p=0.028), although no statistically significant correlations were found regarding the 1 month estimates.


CONCLUSIONS
Nurses' long-term estimates of patient incidents are concordant with continuously and systematically assessed data, and offer valid data where other measurement methods are unavailable.
Quadriceps strengthening with and without blood flow restriction in the treatment of patellofemoral pain: a double-blind randomised trial.

BACKGROUND
Quadriceps strengthening exercises are part of the treatment of patellofemoral pain (PFP), but the heavy resistance exercises may aggravate knee pain. Blood flow restriction (BFR) training may provide a low-load quadriceps strengthening method to treat PFP.


METHODS
Seventy-nine participants were randomly allocated to a standardised quadriceps strengthening (standard) or low-load BFR. Both groups performed 8 weeks of leg press and leg extension, the standard group at 70% of 1 repetition maximum (1RM) and the BFR group at 30% of 1RM. Interventions were compared using repeated-measures analysis of variance for Kujala Patellofemoral Score, Visual Analogue Scale for 'worst pain' and 'pain with daily activity', isometric knee extensor torque (Newton metre) and quadriceps muscle thickness (cm). Subgroup analyses were performed on those participants with painful resisted knee extension at 60°.


RESULTS
Sixty-nine participants (87%) completed the study (standard, n=34; BFR, n=35). The BFR group had a 93% greater reduction in pain with activities of daily living (p=0.02) than the standard group. Participants with painful resisted knee extension (n=39) had greater increases in knee extensor torque with BFR than standard (p<0.01). No between-group differences were found for change in Kujala Patellofemoral Score (p=0.31), worst pain (p=0.24), knee extensor torque (p=0.07) or quadriceps thickness (p=0.2). No difference was found between interventions at 6 months.


CONCLUSION
Compared with standard quadriceps strengthening, low load with BFR produced greater reduction in pain with daily living at 8 weeks in people with PFP. Improvements were similar between groups in worst pain and Kujala score. The subgroup with painful resisted knee extension had larger improvements in quadriceps strength from BFR.


TRIAL REGISTRATION NUMBER
12614001164684.
Fuzzy Ideals and Fuzzy Filters of Ordered Ternary Semigroups

The notion of ternary semigroups was introduced by Lehmer in 1932 and that of fuzzy sets by Zadeh in 1965. Any semigroup can be reduced to a ternary semigroup but a ternary semigroup does not necessarily reduce to a semigroup. A partially ordered semigroup T is called an ordered ternary semigroup if for all x1, x2, x3, x4 ∈ T, x1 ≤ x2 implies x1x3x4 ≤ x2x3x4, x3x1x4 ≤ x3x2x4 and x3x4x1 ≤ x3x4x2. In this paper, we study fuzzy ternary subsemigroups (left ideals, right ideals, lateral ideals, ideals) and fuzzy left filters (right filters, lateral filters, filters) of ordered ternary semigroups.
Testing Component-Based Software: A Cautionary Tale

large industrial software systems with very high reliability and availability requirements entails enormous costs. Many organizations have begun to consider implementing such systems using reusable component repositories, with the expectation that ♦ commercial off-the-shelf (COTS) components or components designed for reuse can significantly lower development costs and shorten development cycles; and ♦ using them will ultimately lead to software systems that require less time to specify, design, test, and maintain, yet satisfy the high reliability requirements. Many organizations see the arrival of languages designed to implement software components as the silver bullet they have awaited for decades. They envision that writing a component once and reusing it in many subsequent software systems will effectively amortize the development cost among all users. They assume they can seamlessly integrate repository components into a new environment, and that COTS components are plug-and-play. In either case they see these components as building blocks that can be easily incorporated into a software system to provide specified functionality. We need new ways to validate soft ware components, specifically those deployed in diverse soft ware environments. We must also consider the likelihood of realizing anticipated savings and whether component-based systems can meet reliabilit y and availabilit y requirements.