LLukas22/scidocs huggingface dataset:
Psychopathy, Machiavellianism, and Narcissism in the Five-Factor Model and the HEXACO model of personality structure ☆

We investigated the relations of the ‘‘Dark Triad’’ personality traits—Psychopathy, Machiavellianism, and Narcissism—with the variables of the Five-Factor Model and the HEXACO model of personality structure. Results (N = 164) indicated that all three Dark Triad traits were strongly negatively correlated (rs = 0.72, 0.57, and 0.53, respectively) with the HEXACO Honesty–Humility factor. Psychopathy and Machiavellianism showed moderate negative correlations with Big Five Agreeableness (rs = 0.39 and 0.44, respectively), but Narcissism did not (r = 0.04). However, Narcissism correlated positively with Big Five Extraversion (r = 0.46) and HEXACO Extraversion (r = 0.49). Correlations among the Dark Triad variables were explained satisfactorily by the HEXACO variables, but not by the Five-Factor Model variables. 2004 Elsevier Ltd. All rights reserved.
Do personal stories make patient decision aids more effective? A critical review of theory and evidence

BACKGROUND
Patient decision aids support people to make informed decisions between healthcare options. Personal stories provide illustrative examples of others' experiences and are seen as a useful way to communicate information about health and illness. Evidence indicates that providing information within personal stories affects the judgments and values people have, and the choices they make, differentially from facts presented in non-narrative prose. It is unclear if including narrative communications within patient decision aids enhances their effectiveness to support people to make informed decisions.


METHODS
A survey of primary empirical research employing a systematic review method investigated the effect of patient decision aids with or without a personal story on people's healthcare judgements and decisions. Searches were carried out between 2005-2012 of electronic databases (Medline, PsycINFO), and reference lists of identified articles, review articles, and key authors. A narrative analysis described and synthesised findings.


RESULTS
Of 734 citations identified, 11 were included describing 13 studies. All studies found participants' judgments and/or decisions differed depending on whether or not their decision aid included a patient story. Knowledge was equally facilitated when the decision aids with and without stories had similar information content. Story-enhanced aids may help people recall information over time and/or their motivation to engage with health information. Personal stories affected both "system 1" (e.g., less counterfactual reasoning, more emotional reactions and perceptions) and "system 2" (e.g., more perceived deliberative decision making, more stable evaluations over time) decision-making strategies. Findings exploring associations with narrative communications, decision quality measures, and different levels of literacy and numeracy were mixed. The pattern of findings was similar for both experimental and real-world studies.


CONCLUSIONS
There is insufficient evidence that adding personal stories to decision aids increases their effectiveness to support people's informed decision making. More rigorous research is required to elicit evidence about the type of personal story that a) encourages people to make more reasoned decisions, b) discourages people from making choices based on another's values, and c) motivates people equally to engage with healthcare resources.
Doing Feminist Research in Political and Social Science

Introduction to Feminist Research The Feminist Research Ethic Explained Feminist Roadmaps: Planning, Doing and Presenting Your Research Question-Driven Research: Formulating a Good Question Theory and Conceptualization including the Literature Review The Personal and the Political: Constraints and Opportunities of Research Design Designing and Timing a Research Project Sampling Cases, Operationalizing Concepts and Variables and Selecting Data Requirements Generating and Collecting Data Common Techniques for Analysis Structured Inquiry Research Designs Methods for Data Management and Field Research Writing and Publishing Conclusion: Feminist Research Ethic, Review, and Evaluation
MOBILE ROBOT NAVIGATION IN NARROW AISLES WITH ULTRASONIC SENSORS

This paper describes an experimental obstacle avoidance system for mobile robots traveling through the narrow aisles of a warehouse. In our application the aisles are 91 cm (36") wide and the robot has a width of 64 cm (25"), but the method described here is generally applicable to a large class of narrow-aisle navigation applications. Our approach is based on the carefully designed placement of ultrasonic sensors at strategic locations around the robot. Both the sensor location and the associated navigation algorithms are designed in such a way that whenever accurate range data is needed (e.g., for servoing) a sensor is located so that its accurate radial measurements provide the required data.
Empowerment, Motivation, and Performance: Examining the Impact of Feedback and Incentives on Nonmanagement Employees

Motivated employees play a key role in organization success, and past research indicates a positive association between perceptions of empowerment and motivation. A prominent model put forth by Spreitzer (1995) suggests that two major components of control systems will positively affect employee feelings of empowerment—performance feedback and performance-based reward systems. This experimental study contributes to the behavioral accounting literature by examining how specific types of performance feedback and performance-based rewards affect three psychological dimensions of empowerment. Also, we use a relatively simple context to investigate whether predictions validated on surveys of managers also hold for lower-level workers. Our results suggest that feedback and rewards affect the dimensions of empowerment differently for lower-level workers than they do for managers. Namely, performance feedback was positively associated with only one dimension and performance-based rewards had negative effects on two out of the three dimensions. In addition, overall motivation was not significantly associated with two of the three empowerment dimensions. Implications of this study are that techniques that work to increase manager perceptions of empowerment may not work at lower organizational levels and, even if successful, the related increase in employee motivation may not be
Incremental Solid Modeling from Sparse and Omnidirectional Structure-from-Motion Data

We introduce a new incremental 2-manifold surface reconstruction method. Compared to the previous works, its input is a sparse 3D point cloud estimated by a Structure-from-Motion (SfM) algorithm instead of a more common dense input. The main argument against such a method is that the lack of points implies an inaccurate scene surface. However, the advantages like point quality (thanks to the SfM machinery including bundle adjustment and interest point detection) and simplified resulting surface makes it worth of exploration. Our algorithm is incremental since the surface is locally updated for every new camera pose (and its 3D points) estimated by SfM. This is an advantage compared to global methods like [5] or [2] for applications which require a surface while reading the video sequence. Compared to [6], our method avoids prohibitive time complexity in presence of loops in the camera trajectory. Last but not least, unlike other incremental methods like [3] the output surface is a 2-manifold, i.e. it is a list of triangles in 3D such that the neighborhood of every surface point is topologically a disk. This property is needed to define surface normal and curvature [1] and thus is used by many mesh processing and computational geometry algorithms. Now we introduce notations. Let P be a set of 3D points on the unknown scene surface. The 3D Delaunay triangulation of P is a list T of tetrahedra which partition the convex hull of P. A list O of tetrahedra (O⊆ T ) represents the reconstructed object whose volume is |O|, the union of the O tetrahedra. Border δO is the list of triangles (tetrahedra faces) which are included in exactly one tetrahedra of O. The union of triangles |δO| is our target surface and should be a 2-manifold. SfM also provides visibility knowledge Ri: every point pi ∈ P is computed from camera locations c j where j ∈ Ri. This implies that |δO| should not intersect the rays (line segments) c jpi, j ∈ Ri except at pi. The tetrahedra intersected by a ray are labeled freespace, the others are matter. Let F be the set of free-space tetrahedra. In practice, |δF | is not a 2-manifold. One iteration of our algorithm is shown in Fig. 1. At image (or time) t +1, we have the following input
SDN-based 5G mobile networks: architecture, functions, procedures and backward compatibility

In this paper, we describe an SDN-based plastic architecture for 5G networks, designed to fulfill functional and performance requirements of new generation services and devices. The 5G logical architecture is presented in detail, and key procedures for dynamic control plane instantiation, device attachment, and service request and mobility management are specified. Key feature of the proposed architecture is flexibility, needed to support efficiently a heterogeneous set of services, including Machine Type Communication, Vehicle to X and Internet of Things traffic. These applications are imposing challenging targets, in terms of end-to-end latency, dependability, reliability and scalability. Additionally, backward compatibility with legacy systems is guaranteed by the proposed solution, and Control Plane and Data Plane are fully decoupled. The three levels of unified signaling unify Access, Non-access and Management strata, and a clean-slate forwarding layer, designed according to the software defined networking principle, replaces tunneling protocols for carrier grade mobility. Copyright © 2014 John Wiley & Sons, Ltd. *Correspondence R. Trivisonno, Huawei European Research Institute, Munich, Germany. E-mail: riccardo.trivisonno@huawei.com Received 13 October 2014; Revised 5 November 2014; Accepted 8 November 2014
Impact of Low-Level-Viremia on HIV-1 Drug-Resistance Evolution among Antiretroviral Treated-Patients

BACKGROUND
Drug-resistance mutations (DRAM) are frequently selected in patients with virological failure defined as viral load (pVL) above 500 copies/ml (c/mL), but few resistance data are available at low-level viremia (LLV). Our objective was to determine the emergence and evolution of DRAM during LLV in HIV-1-infected patients while receiving antiretroviral therapy (ART).


METHODS
Retrospective analysis of patients presenting a LLV episode defined as pVL between 40 and 500 c/mL on at least 3 occasions during a 6-month period or longer while on the same ART. Resistance genotypic testing was performed at the onset and at the end of LLV period. Emerging DRAM was defined during LLV if never detected on baseline genotype or before.


RESULTS
48 patients including 4 naive and 44 pretreated (median 9 years) presented a LLV episode with a median duration of 11 months. Current ART included 2NRTI (94%), ritonavir-boosted PI (94%), NNRTI (23%), and/or raltegravir (19%). Median pVL during LLV was 134 c/mL. Successful resistance testing at both onset and end of the LLV episode were obtained for 37 patients (77%), among who 11 (30%) acquired at least 1 DRAM during the LLV period: for NRTI in 6, for NNRTI in 1, for PI in 4, and for raltegravir in 2. During the LLV period, number of drugs with genotypic resistance increased from a median of 4.5 to 6 drugs. Duration and pVL level of LLV episode, duration of previous ART, current and nadir CD4 count, number of baseline DRAM and GSS were not identified as predictive factors of resistance acquisition during LLV, probably due to limited number of patients.


CONCLUSION
Persistent LLV episodes below 500 c/ml while receiving ART is associated with emerging DRAM for all drug classes and a decreasing in further therapeutic options, suggesting to earlier consider resistance monitoring and ART optimization in this setting.
Test-retest reliability of Brazilian version of Memorial Symptom Assessment Scale for assessing symptoms in cancer patients

Objective
To assess the test-retest reliability of the Memorial Symptom Assessment Scale translated and culturally adapted into Brazilian Portuguese.


Methods
The scale was applied in an interview format for 190 patients with various cancers type hospitalized in clinical and surgical sectors of the Instituto Nacional de Câncer José de Alencar Gomes da Silva and reapplied in 58 patients. Data from the test-retest were double typed into a Microsoft Excel spreadsheet and analyzed by the weighted Kappa.


Results
The reliability of the scale was satisfactory in test-retest. The weighted Kappa values obtained for each scale item had to be adequate, the largest item was 0.96 and the lowest was 0.69. The Kappa subscale was also evaluated and values were 0.84 for high frequency physic symptoms, 0.81 for low frequency physical symptoms, 0.81 for psychological symptoms, and 0.78 for Global Distress Index.


Conclusion
High level of reliability estimated suggests that the process of measurement of Memorial Symptom Assessment Scale aspects was adequate.


Objetivo
Avaliar a confiabilidade teste-reteste da versão traduzida e adaptada culturalmente para o português do Brasil do Memorial Symptom Assessment Scale.


Métodos
A escala foi aplicada em forma de entrevista em 190 pacientes com diversos tipos de câncer internados nos setores clínicos e cirúrgicos do Instituto Nacional de Câncer José de Alencar Gomes da Silva e reaplicada em 58 pacientes. Os dados dos testes-retestes foram inseridos num banco de dados por dupla digitação independente em Excel e analisados pelo Kappa ponderado.


Resultados
A confiabilidade da escala mostrou-se satisfatória nos testes-retestes. Os valores do Kappa ponderado obtidos para cada item da escala apresentaram-se adequados, sendo o maior item de 0,96 e o menor de 0,69. Também se avaliou o Kappa das subescalas, sendo de 0,84 para sintomas físicos de alta frequência, de 0,81 para sintomas físicos de baixa frequência, de 0,81 também para sintomas psicológicos, e de 0,78 para Índice Geral de Sofrimento.


Conclusão
Altos níveis de confiabilidade estimados permitem concluir que o processo de aferição dos itens do Memorial Symptom Assessment Scale foi adequado.
Indifferentiability of Single-Block-Length and Rate-1 Compression Functions

The security notion of indifferentiability was proposed by Maurer, Renner, and Holenstein in 2004. In 2005, Coron, Dodis, Malinaud, and Puniya discussed the indifferentiability of hash functions. They showed that the Merkle-Damg̊ard construction is not secure in the sense of indifferentiability. In this paper, we analyze the security of single-block-length and rate-1 compression functions in the sense of indifferentiability. We formally show that all single-block-length and rate-1 compression functions, which include the Davies-Meyer compression function, are insecure. Furthermore, we show how to construct a secure single-block-length and rate-1 compression function in the sense of indifferentiability. This does not contradict our result above.
HR practices and turnover intention: the mediating roles of organizational commitment and organizational engagement in a selected region in Malaysia

HR practices and turnover intention: the mediating roles of organizational commitment and organizational engagement in a selected region in Malaysia Nurita Juhdi, Fatimah Pa'wan & Ram Milah Kaur Hansaram a Department of Business Administration, Kulliyyah of Economics and Management Sciences, International Islamic University Malaysia, Kuala Lumpur, Malaysia b Faculty of Business Administration, UNITAR International University, Petaling Jaya, Selangor, Malaysia Published online: 07 Feb 2013.
Positive Healthy Organizations: Promoting Well-Being, Meaningfulness, and Sustainability in Organizations

This contribution deals with the concept of healthy organizations and starts with a definition of healthy organizations and healthy business. In healthy organizations, culture, climate, and practices create an environment conducive to employee health and safety as well as organizational effectiveness (Lowe, 2010). A healthy organization thus leads to a healthy and successful business (De Smet et al., 2007; Grawitch and Ballard, 2016), underlining the strong link between organizational profitability and workers' well-being. Starting from a positive perspective focused on success and excellence, the contribution describes how positive organizational health psychology evolved from occupational health psychology to positive occupational health psychology stressing the importance of a primary preventive approach. The focus is not on deficiency and failure but on a positive organizational attitude that proposes interventions at different levels: individual, group, organization, and inter-organization. Healthy organizations need to find the right balance between their particular situation, sector, and culture, highlighting the importance of well-being and sustainability. This contribution discusses also the sustainability of work-life projects and the meaning of work in healthy organizations, stressing the importance of recognizing, respecting, and using the meaning of work as a key for growth and success. Finally, the contribution discusses new research and intervention opportunities for healthy organizations.
Combination therapy with nifedipine GITS 60 mg: subanalysis of a prospective, 12-week observational study (AdADOSE)

BACKGROUND
AdADOSE was a 12-week, international, observational study conducted in the Middle East and Russia where patients received nifedipine gastrointestinal therapeutic system (GITS) at a daily dose of 30, 60, or 90 mg as part of an antihypertensive combination therapy. This subgroup analysis of the AdADOSE study assesses the efficacy and tolerability of nifedipine GITS combination therapy when used specifically at the 60-mg strength.


METHODS
Patients with hypertension who received a daily nifedipine GITS dose of 60 mg, either at constant dose (n = 686) or up-titrated from 30 mg (n = 392), were analyzed. Target blood pressure (BP) was <140/90 mmHg (or <130/80 mmHg for those at high/very high cardiovascular risk).


RESULTS
Following nifedipine GITS combination therapy, target BP was achieved by 33.7% patients in the 60 mg group (previously untreated, 42.5%; previously treated, 32.0%) and 32.4% patients in the 30-60 mg group (previously untreated, 45.2%; previously treated, 30.7%). Mean systolic BP/diastolic BP changes were -40.3/-20.7 mmHg and -35.6/-18.5 mmHg, respectively, and were similar regardless of previous antihypertensive treatment or the number of concomitant diseases. Incidences of drug-related adverse events (AEs) were low (3.2%, 60 mg; 2.0%, 30-60 mg group), few patients discontinued because of AEs (0.6% and 1.0%, respectively), and there were no serious AEs.


CONCLUSION
Combination therapy with nifedipine GITS 60 mg in a real-life observational setting was effective and well tolerated in hypertensive patients, with low rates of treatment-related AEs.
Deep Learning

Jährlich veröffentlichen Forscher neue Zahlen und Bestwerte ihrer Lernverfahren in verschiedensten Bereichen, mit welchen sie sich den menschlichen Fähigkeiten nähern oder diese sogar bereits übertreffen. Hierbei ist Deep Learning als Schlagwort prominent vertreten. Das bekannteste Beispiel darunter ist sicherlich der von Googles DeepMind-Gruppe entwickelte AlphaGoComputer, der erstmals professionelle menschliche Spieler im Go-Spiel, das weitaus komplexer als Schach ist, bezwang (vgl. [8]). Insbesondere die Mainstreammedien griffen das Thema auf und postulierten eine neue Ära von Künstlicher Intelligenz. Trotz wachsender Popularität des Deep Learning löst dieser Ansatz nicht pauschal jedes ungelöste oder nur unzufrieden gelöste Problem des maschinellen Lernens. Vielmehr ist es als eines von vielen Werkzeugen zu verstehen, das zum überwachten oder unüberwachten Lernen von insbesondere sehr großen Datensätzen verwendet werden kann. Deep Learning kann hierbei den geschichteten Aufbau hierarchischer Features automatisch sehr gut abbilden, weshalb es vor allem in der Bildund Sprachverarbeitung eine wichtige Rolle spielt. Weitere Bereiche des maschinellen Lernens wie iML [5] und OCR [9], in denen Deep Learning eingesetzt wird, wurden bereits in Artikeln des aktuellen Schlagworts tituliert.
Is the Canadian childhood obesity epidemic related to physical inactivity?

OBJECTIVE: This study examined the relation among children's physical activity, sedentary behaviours, and body mass index (BMI), while controlling for sex, family structure, and socioeconomic status.DESIGN: Epidemiological study examining the relations among physical activity participation, sedentary behaviour (video game use and television (TV)/video watching), and BMI on a nationally representative sample of Canadian children.SUBJECTS: A representative sample of Canadian children aged 7–11 (N=7216) from the 1994 National Longitudinal Survey of Children and Youth was used in the analysis.MEASUREMENTS: Physical activity and sport participation, sedentary behaviour (video game use and TV/video watching), and BMI measured by parental report.RESULTS: Both organized and unorganized sport and physical activity are negatively associated with being overweight (10–24% reduced risk) or obese (23–43% reduced risk), while TV watching and video game use are risk factors for being overweight (17–44% increased risk) or obese (10–61% increased risk). Physical activity and sedentary behaviour partially account for the association of high socioeconomic status and two-parent family structure with the likelihood of being overweight or obese.CONCLUSION: This study provides evidence supporting the link between physical inactivity and obesity of Canadian children.
DESIGN OF MICROSTRIP ANTENNA FOR WIRELESS COMMUNICATION AT 2 . 4 GHZ

The paper presents a broadband microstrip patch antenna for wireless communication. In its most basic form, a microstrip patch antenna consists of a radiating patch on one side of a dielectric substrate which has a ground plane on the other side. The patch is generally made of conducting material such as copper or gold and can take any possible shape. A rectangular patch is used as the main radiator. There are several advantages of this type of broadband antenna, such as planar, small in size, simple in structure, low in cost, and easy to be fabricated, thus attractive for practical applications. This rectangular microstrip patch antenna is designed for wireless communication application that works at 2.4 GHz with gain 11 dB for outdoor place. It also has a wide angle of beam in its radiation pattern. The results obtain that microstrip patch antenna can be used as client antenna in computer and workable antenna for wireless fidelity.