nils-herrmann/clean_scirepeval huggingface dataset:
Multidrug Resistant Enterobacter cloacae Complex Emerging as a Global, Diversifying Threat
Venue: Front. Microbiol.
Year: 2019

The Enterobacter cloacae complex (ECC) includes common nosocomial pathogens capable of producing a wide variety of infections. Broad spectrum antibiotic resistance, including the recent emergence of resistance to last resort carbapenems, has led to increased interest in this group of organisms and carbapenem resistant E. cloacae complex (CREC) in particular. Molecular typing methods based on heat shock protein sequence, pulsed field gel electrophoresis, comparative genomic hybridization, and, most recently, multilocus sequence typing have led to the identification of over 1069 ECC sequence types in 18 phylogenetic clusters across the globe. Whole genome sequencing and comparative genomics, moreover, have facilitated global analyses of clonal composition of ECC and specifically of CREC. Epidemiological and genomic studies have revealed diverse multidrug resistant ECC clones including several potential epidemic lineages. Together with intrinsic b lactam resistance, members of the ECC exhibit a unique ability to acquire genes encoding resistance to multiple classes of antibiotics, including a variety of carbapenemase genes. In this review, we address recent advances in the molecular epidemiology of multidrug resistant E. cloacae complex, focusing on the global expansion of CREC.
Health information privacy concerns, antecedents, and information disclosure intention in online health communities
Venue: Inf. Manag.
Year: 2018

This study explores the antecedents and consequences of health information privacy concerns in online health communities by integrating the dual calculus and protection motivation theories. On the basis of survey data from 337 users, health information privacy concerns, together with informational and emotional support, significantly influence personal health information (PHI) disclosure intention. Privacy concerns are negatively influenced by two coping appraisals (i.e. response efficacy and self efficacy) and positively affected by two threat appraisals (i.e. perceived vulnerability and perceived severity) The perceived health status differentially moderates the effects of privacy concerns and informational support on the PHI disclosure intention.
Active Learning Methods in Nursing Education A New Paradigm?
Year: 2017

The overall aim of the ongoing research project is to develop new learning environments in nursing education, adapted to latest technology and active learning methods. The present research focuses on the students' satisfaction with the active learning methods used in the course "Basic Nursing Skills" in which theoretical and practical elements are included. Blended learning environments have been used, which are represented by traditional classroom teaching, self directed studies, written assignments and the flipped classroom. The research has a qualitative research design and the sample used is the first year students in the English Degree Programme in Nursing at Novia University of Applied Sciences. Finland is a bilingual country with Finnish as the language for the majority and Swedish is the minority language. Novia UAS is a University with Swedish as main language and the English Degree Programmes at Novia UAS are few and small. The study applies constructivism as the underpinning philosophy of active learning, and coaching as the approach to teaching. Contact teaching consists mainly of an introduction, supervision, and evaluation. The students receive carefully designed guides for expected learning outcomes. Regarding the practical parts, the students have access to instruction films and a laboratory environment for practice. The students decide when they are ready for their given practical procedure to be evaluated, and record the procedure with their own devices. The students' videos are uploaded as unlisted on YouTube and sent to the teacher, who subsequently evaluates the students' performances of the given procedure. The study also investigates student views on the flipped classroom technique where the classroom is transferred to a bed ward with several, mainly elderly, bedridden patients at a local health care center. The overall student response is positive, the students felt that the methods used provided a good way of attaining deep insights into the subject and that the variety of methods and tasks stimulated learning.
PERENCANAAN BISNIS RUMAH MAKAN DAN PEMANCINGAN 'LESEHAN'
Year: 2016

Penelitian ini bertujuan untuk menyusun perencanaan bisnis Rumah Makan dan Pemancingan "LESEHAN" dilihat dari aspek Pemasaran, Operasi, Sumber Daya Manusia, dan Keuangan. Dengan latar belakang, kurangnya tempat rekreasi di Semarang tepatnya di daerah Gunung Pati. Konsep bisnis ini adalah membuat rumah makan yang bernuansa rumah sendiri menjadikan konsumen nyaman pada Rumah Makan dan Pemancingan "LESEHAN".Restoran ini membidik konsumen dari usia remaja hingga dewasa sebagai target pasarnya Berdasarkan perhitungan analisis kelayakan pada aspek keuangan ditinjau dari Net Present Value, Profitability Index, Payback Period, dan Internal Rate of Return dinilai layak karena Net Present Value bernilai positif, Profitability Index lebih besar daripada 1, Payback Period kurang dari 5 tahun, dan Internal Rate of Return lebih tinggi daripada suku bunga
Values: Which Theories, Which Methods?
Year: 2020

For the 31st issue of Questions de communication, Nathalie Heinich (EHESS, CNRS) extracted 10 proposals from her book published early in 2017,  Une approche sociologique (Values: A sociological approach) By characterising the diversity of attributions given to values in situations, she exposes the outlines for a scientific project which various researchers discuss in this special issue: Laurence Kaufmann and Philippe Gonzalez (University of Lausanne) Louis Quere (EHESS, CNRS) and Danilo Martuccelli (Millennium Nucleus Centre Authority and Power Asymmetries Universite de Paris Universidad Diego Portales, Chile) Although all of them consider Nathalie Heinich's project to be heuristic, they suggest that some aspects require further nuance, and they develop complementary analyses that will be of interest for all the humanities and social sciences.
Some new or newly interpreted Cenozoic larnacillid radiolarian taxa
Year: 2020

On the basis of a research started about 40 years ago for the knowledge of the internal structure and mode of growth of the Larcoidea Radiolaria, this article discusses and describes a series of genera and species of larnacillid radiolarians from two subfamilies: Cryptolarnaciinae and Circodiscinae. Ten genera are discussed, of which 6 are new (Phacolarnacium, Globolarnacium, Pylolarnacium, Sanfiriedellus, Circodiscullus, and Stylotrochellus) and 29 species are discussed, of which 17 are described as new. For all of them have been made sections to know as well as possible their initial structure as base of taxonomy. Special illustrations are presented to suggest horizontal gene transfer for at least one species. A partly changed nomenclature of the structural elements of the microsphere and initial skeleton of these radiolarians is proposed.
Retos de la educacion virtual en el proceso ensenanza aprendizaje durante la pandemia de Covid 19
Year: 2020

La educacion como la conociamos ha tomado una perspectiva diferente desde el inicio de la pandemia por COVID 19, poniendo a merced a instituciones de todo el mundo en el desarrollo de nuevas metodologias que incluyan la educacion en linea, utilizando todas las herramientas tecnologicas con el fin de mantener vigente la ensenanza en sus estudiantes, la educacion en linea mediante conferencias es de total y precisa atencion definir todos sus conceptos a pesar de los retos que se presenten a lo largo de la pandemia, el objetivo de este estudio fue analizar los retos que la educacion virtual ha representado en el proceso de ensenanza aprendizaje durante la pandemia de COVID 19. Se realizaron busquedas bibliograficas no mayores a 5 anos en bases de datos como PubMed, Elsevier, Google Academico, Scielo, Scopus y Web of Science, hasta septiembre del 2020. Se concluye que la educacion en tiempos de pandemia es un reto total para instituciones que no estan familiarizadas con la tecnologia, docentes de cualquier nivel, padres de familias como maestros principales dentro del hogar y estudiantes de bajos recursos son aquellos mas afectados, la suspension de las clases presenciales, en todos los niveles, ha originado campos de accion emergentes como el aprendizaje a distancia, utilizando formatos, plataformas virtuales y teletrabajo para resguardar la salud y el bienestar integral de los estudiantes durante la pandemia del 2020, prometiendo asi una ensenanza de calidad para minimizar sesgos y trabajando en conjunto con padres de familias e instituciones, aprovechando todas las herramientas virtuales que existen.
Interactions in Virtual Customer Environments (VCEs) toward Customer Relationship Management (CRM) A Study of Tourist Hotels in Sri Lanka
Year: 2019

With the introduction of digitalization, Virtual Customer Environments (VCEs) play a significant role in the business world and it has become a strategic indicator for the success of business. Consequently, business entities have established VCEs, which enable customers and firms to virtually interact and build a relationship with each other. This study examines the impact of customer interactions in such VCEs on the nature of customer business relationships of tourist hotels in Sri Lanka. The study is significant to Sri Lankan context as no studies have been conducted in this field. The study was developed and tested a conceptual model using a scientific quantitative research methodology. According to the results, it was found that customer interactions in VCEs associate the nature of customer business relationships of the tourist hotels in Sri Lanka while virtual customer experience mediates the said association. Thus, VCEs should be an integral element of firms' CRM strategy in the context of the tourist hotels in Sri Lanka.
Revisiting biomarker discovery by plasma proteomics
Venue: Molecular systems biology
Year: 2017

Clinical analysis of blood is the most widespread diagnostic procedure in medicine, and blood biomarkers are used to categorize patients and to support treatment decisions. However, existing biomarkers are far from comprehensive and often lack specificity and new ones are being developed at a very slow rate. As described in this review, mass spectrometry (MS) based proteomics has become a powerful technology in biological research and it is now poised to allow the characterization of the plasma proteome in great depth. Previous "triangular strategies" aimed at discovering single biomarker candidates in small cohorts, followed by classical immunoassays in much larger validation cohorts. We propose a "rectangular" plasma proteome profiling strategy, in which the proteome patterns of large cohorts are correlated with their phenotypes in health and disease. Translating such concepts into clinical practice will require restructuring several aspects of diagnostic decision making, and we discuss some first steps in this direction.
Defining sustainable transport in rural tourism: experiences from the New Forest
Year: 2019

Transport policy agendas have long sought to bring about more sustainable transport at tourism destinations. Whilst there are examples of successes, it remains unclear what inroads have been made towards creating a sustainable transport future. Policy directions have evolved over a number of years and in many tourism destination contexts, it is far from clear what a desirable transport future looks like. When translated to implementation, the aims of initiatives can be unclear and baseline measures inconsistent, making success difficult to judge. This paper analyses how sustainable travel has been implemented in practice at a destination level. The focus is rural tourism and data are derived from a specific case, the New Forest National Park, UK, where a wide range of transport initiatives have been implemented since the Park's designation in 2005. The study adopts a social practice theory perspective. Data are derived from a visitor survey, interviews and observations. It finds there is scope to improve sustainable transport provision at destinations through understanding visitor practices, but limited scope to influence meanings associated with visitor travel and travel skills. Policy meets the needs of some visitors more than others.
Using Game Based Learning in Virtual Worlds to Teach Electronic and Electrical Engineering
Venue: IEEE Transactions on Industrial Informatics
Year: 2013

In recent years there has been significant growth in the use of virtual worlds for e learning. These immersive environments offer enhanced distance learning facilities where students can participate in individual and group activities, using advanced communication tools, inside complex and highly interactive simulations. Video games have entered the mainstream as a popular entertainment format and are starting to be adopted as teaching tools. This paper explores how virtual worlds and video games techniques can be used to create highly immersive and engaging environments for teaching engineering related material. It will show how the presentation layer of remote laboratories, which are traditionally 2 D in nature, could be enhanced by the use of 3 D to facilitate new types of remote interactions and methods of visualizing and interacting with data. The Circuit Warz project is introduced and demonstrates how immersive virtual worlds can be used to create a game based approach to teaching, which supports and complements traditional delivery methods using a collaborative team based competitive format with an underlying hardware infrastructure.
An Implementation of LTE MAC Layer Channel Multiplexing and Scheduling Mechanism Porting Upon an FPGA Embedded System Platform to Support Massive NB IoT Devices Accesses
Venue: IMIS
Year: 2019

In the future, telecommunication must be able to provide ubiquitous and adequate wireless network resources to meet the needs of various applications of mMTC (Massive Machine Type Communication) Specification of NB IoT (Narrow Band Internet of Things) as such, demands to increase the capacity for a larger number of connections with reasonable performance in operation. To face the development trend and to tackle the technological issues, in the implementation of NB IoT eNB, it is feasible to utilize an acceleration function of our designed SG DMA (Scatter Gather Direct Memory Access) controller implemented in FPGA (Field Programmable Gate Array) to offload processing effort of multi channel scheduling and enhance operation performance encapsulating a larger number of TBs in a short period. Accordingly, this paper introduces our porting efforts transferring a pre implemented MAC Layer function from a PC Linux environment to an Intel Altera FPGA development board.
Feature Extraction Methods in Sign Language Recognition System: A Literature Review
Venue: 2018 Indonesian Association for Pattern Recognition International Conference (INAPR)
Year: 2018

Sign language is a way to communicate between deaf mute people and normal people by performing hand gesture. Visual based gesture recognition can help to overcome this communication limitation. Recently, several techniques and methods have been proposed in this area of research and showed some improvements. Despite all of the proposed methods, most of hand gesture recognition approaches that have been applied still lack of compatibility and have lots of limitations. For instance, hand segmentation meets the complication of distinguishing the hand and the face region by using skin detection. Motivated by those facts, this paper presents a review and explains progress of feature extraction in sign language recognition mostly in the last ten years. In this contribution, we focus on studying feature extraction methods. The literature used in this study is based on the previous published international papers which discussed sign language recognition. The main objectives from this review are to get the most effective and most compatible feature extraction method to be applied to sign language recognition system and to further research progress in the future. After reviewing various recognition techniques, we can conclude that the current works have successfully improve hand gesture recognition by inventing a technology which helps for tracking hands region precisely by using an active sensor. However, there is still room for improvements based on a markerless passive sensor, such as vision based approaches.
CHIME/FRB Detection of Eight New Repeating Fast Radio Burst Sources
Year: 2019

We report on the discovery of eight repeating fast radio burst (FRB) sources found using the Canadian Hydrogen Intensity Mapping Experiment (CHIME) telescope. These sources span a dispersion measure (DM) range of 103.5 to 1281 pc cm$ 3} They display varying degrees of activity: six sources were detected twice, another three times, and one ten times. These eight repeating FRBs likely represent the bright and/or high rate end of a distribution of infrequently repeating sources. For all sources, we determine sky coordinates with uncertainties of \sim$10$\prime$ FRB 180916.J0158+65 has a burst averaged DM $349.2 \pm 0.3$ pc cm$ 3} and a low DM excess over the modelled Galactic maximum (as low as \sim$20 pc cm$ 3} this source also has a Faraday rotation measure (RM) of 114.6 \pm 0.6$ rad m$ 2} much lower than the RM measured for FRB 121102. FRB 181030.J1054+73 has the lowest DM for a repeater, $103.5 \pm 0.3$ pc cm$ 3} with a DM excess of \sim$ 70 pc cm$ 3} Both sources are interesting targets for multi wavelength follow up due to their apparent proximity. The DM distribution of our repeater sample is statistically indistinguishable from that of the first 12 CHIME/FRB sources that have not repeated. We find, with 4$\sigma$ significance, that repeater bursts are generally wider than those of CHIME/FRB bursts that have not repeated, suggesting different emission mechanisms. Our repeater events show complex morphologies that are reminiscent of the first two discovered repeating FRBs. The repetitive behavior of these sources will enable interferometric localizations and subsequent host galaxy identifications.
The Effect of Stress on Empathic Accuracy in Romantic Couples
Venue: Journal of family psychology JFP journal of the Division of Family Psychology of the American Psychological Association
Year: 2019

Accurately understanding the thoughts and feelings of romantic partners, termed empathic accuracy, is critical for optimal relationship functioning. Empathic failure is linked to common reasons couples seek therapy (Doss, Simpson, Christensen, 2004; Jacobson Christensen, 1996) and is either implicitly or explicitly a target of many couple therapies (e.g. Jacobson Christensen, 1996) More specifically, couple therapies target partners' abilities to accurately understand one another preceding and during conflict, periods characterized by high levels of stress. The current study tests the hypothesis that acute stress can be harmful for empathic accuracy in romantic couples, and tests two competing path models of the impact of stress on accuracy. Results show that an acute stressor affected accuracy of men and women differently, impairing accuracy in women but not observably affecting men's accuracy. The effect of the stressor on empathic accuracy for women was mediated by curvilinear arousal, and men's accuracy was also associated with curvilinear arousal. This pattern of results suggests that moderate arousal is optimal for empathic accuracy for both men and women, but this effect was twice as large for women relative to men. These findings point toward potential avenues to improve existing couple therapies by incorporating strategies to mitigate the effects of stress, thereby increasing couples' ability to accurately understand one another in therapy. These findings also suggest strategies for couples to be optimally productive when having important relationship conversations by attending to their level of arousal.
Learning and Data Driven Beam Selection for mmWave Communications: An Angle of Arrival Based Approach
Venue: IEEE Access
Year: 2019

This paper investigates how angle of arrival (AoA) information can be exploited by deep /machine learning approaches to perform beam selection in the uplink of a mmWave communication system. Specifically, we consider a hybrid beamforming setup comprising an analog beamforming (ABF) network with adjustable beamwidth followed by a zero forcing baseband processing block. The goal is to select the optimal configuration for the ABF network based on the estimated AoAs of the various user equipments. To that aim, we consider 1) two supervised machine learning approaches: $k$ nearest neighbors (kNN) and support vector classifiers (SVC) and 2) a feed forward deep neural network: the multilayer perceptron. We conduct an extensive performance evaluation to investigate the impact of the quality of CSI estimates (AoAs and powers) obtained via the Capon or MUSIC methods, fluctuations in the received power, the size of the training dataset, the total number of analog beamformers in the codebook, their beamwidth, or the number of active users. The computer simulations reveal that performance, in terms of classification accuracy and sum rate is very close to that achievable via exhaustive search.
Parallax Robust Hexahedral Panoramic Video Stitching
Venue: PCM
Year: 2017

In this paper, we present a parallax robust hexahedral panoramic video stitching method. An efficient three stage stitching procedure is proposed. In the preprocessing stage, layered feature points matching strategy extracts feature matches lying in different depth layers. In the rough alignment stage, based on the first layer of feature matches, global projective warping estimates and refines camera parameters by considering the constraints among all cameras to avoid accumulated errors. With camera parameters, image pixels are roughly mapped onto a spherical surface. In the refined alignment stage, based on multiple layers of feature matches, layered content preserving warping further aligns abundant feature pairs exploited from multiple depth layers, so as to alleviate ghosting caused by large parallax. Experimental results show that our method can effectively stitch panoramic video without noticeable parallax errors.
Rhetorical structure theory: A comprehensive review of theory, parsing methods and applications
Venue: Expert Syst. Appl.
Year: 2020

Rhetorical structure theory (RST) is a significant theory about discourse organization. With an increasing number of research interests focus on RST, many novel parsing approaches have been proposed and motivated many brand new applications, such as chatbots and other expert and intelligent systems. However, the work on RST dates back many years and there remains a lack of comprehensive literature reviews. The aim of this study is therefore to provide a comprehensive overview of RST, parsing methods and applications. In this paper, we first give a detailed introduction to RST. Then the commonly used discourse treebank: RST DT is elaborated. We propose a new taxonomy to divide the RST parsing methods into different categories. With a focus on the classical and latest methods that have recently been developed, we review the pros and cons of these approaches, along with the performance analysis of them. We then summarize the applications of RST across various domains. Moreover, we present a comparative study of RST with other discourse structure theories. Finally, we discuss some implications of our findings and outline future research directions in this challenging and fast growing field.