nils-herrmann/clean_scirepeval huggingface dataset:
Co creation and consumer's purchasing intentions, any value in B2B activities?

Given the increasing competitive nature of global markets, consumers are able to choose from an ever increasing quality of products and services with constant declining prices. Hence, better understanding of B2B value co creation activities that governs suppliers' relationship with a direct impact on consumer is of great importance. The general purpose behind the study is that customers are willing to buy products only if consumers are in demand of the manufactured products, and therefore, the marketing efforts should target the ultimate consumer as opposed to the buyer. The purpose of this study is to investigate the impact of B2B value co creation on consumers in South East Asia's manufacturing industry. The research questions of this study are as following; what is the impact of B2B value co creation on consumer satisfaction? What is the effect of value co creation behavior on repurchase Intention? What is the effect of value co creation behavior on willingness to pay premium? Available literature that deals with B2B co creation in South East Asia is primarily concerned with examining the concept of value co creation behavior and its impact within organizational settings, with little consideration given to B2B value co creation from consumer standpoint. Hence, an approach that attempts to assess B2B value co creation impact on the ultimate consumer provides a new insights and a greater understanding of B2B value co creation relationship within this important geographical part of the Asian market. Findings show that B2B value co creation activities have a positive impact on consumer satisfaction in SE Asian manufacturing sector. Findings also reveal that B2B value co creation activities have a positive effect on ultimate consumer repurchase intentions. This suggests that B2B activities involving value co creation have a positive effect on ultimate product consumer repurchase intention.
Assumptions of Decision Making Capacity: The Role Supporter Attitudes Play in the Realisation of Article 12 for People with Severe or Profound Intellectual Disability

The United Nations Convention on the Rights of Persons with Disabilities (UNCRPD) was the first legally binding instrument explicitly focused on how human rights apply to people with disability. Amongst their obligations, consistent with the social model of disability, the Convention requires signatory nations to recognise that ".persons with disabilities enjoy legal capacity on an equal basis with others in all aspects of life" and mandates signatory nations to develop ".appropriate measures to provide access by persons with disability to the support they may require in exercising their legal capacity" The Convention promotes supported decision making as one such measure. Although Australia ratified the UNCRPD in 2008, it retains an interpretative declaration in relation to Article 12 (2, 3, 4) allowing for the use of substituted decision making in situations where a person is assessed as having no or limited decision making capacity. Such an outcome is common for people with severe or profound intellectual disability because the assessments they are subjected to are focused on their cognition and generally fail to take into account the interdependent nature of human decision making. This paper argues that Australia's interpretative declaration is not in the spirit of the Convention nor the social model of disability on which it is based. It starts from the premise that the intention of Article 12 is to be inclusive of all signatory nations' citizens, including those with severe or profound cognitive disability. From this premise, arises a practical need to understand how supported decision making can be used with this group. Drawing from evidence from an empirical study with five people with severe or profound intellectual disability, this paper provides a rare glimpse on what supported decision making can look like for people with severe or profound intellectual disability. Additionally, it describes the importance of supporters having positive assumptions of decision making capacity as a factor affecting supported decision making. This commentary aims to give a focus for practice and policy efforts for ensuring people with severe or profound cognitive disability receive appropriate support in decision making, a clear obligation of signatory nations of the UNCRPD. A focus on changing supporter attitudes rather than placing the onus of change on people with disability is consistent with the social model of disability, a key driver of the UNCRPD.
Genetic studies in intellectual disability and related disorders
Venue: Nature Reviews Genetics

Genetic factors play a major part in intellectual disability (ID) but genetic studies have been complicated for a long time by the extreme clinical and genetic heterogeneity. Recently, progress has been made using different next generation sequencing approaches in combination with new functional readout systems. This approach has provided novel insights into the biological pathways underlying ID, improved the diagnostic process and offered new targets for therapy. In this Review, we highlight the insights obtained from recent studies on the role of genetics in ID and its impact on diagnosis, prognosis and therapy. We also discuss the future directions of genetics research for ID and related neurodevelopmental disorders.
CDC Guideline for Prescribing Opioids for Chronic Pain United States, 2016.
Venue: MMWR. Recommendations and reports Morbidity and mortality weekly report. Recommendations and reports

This guideline provides recommendations for primary care clinicians who are prescribing opioids for chronic pain outside of active cancer treatment, palliative care, and end of life care. The guideline addresses 1) when to initiate or continue opioids for chronic pain; 2) opioid selection, dosage, duration, follow up, and discontinuation; and 3) assessing risk and addressing harms of opioid use. CDC developed the guideline using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework, and recommendations are made on the basis of a systematic review of the scientific evidence while considering benefits and harms, values and preferences, and resource allocation. CDC obtained input from experts, stakeholders, the public, peer reviewers, and a federally chartered advisory committee. It is important that patients receive appropriate pain treatment with careful consideration of the benefits and risks of treatment options. This guideline is intended to improve communication between clinicians and patients about the risks and benefits of opioid therapy for chronic pain, improve the safety and effectiveness of pain treatment, and reduce the risks associated with long term opioid therapy, including opioid use disorder, overdose, and death. CDC has provided a checklist for prescribing opioids for chronic pain (http:/stacks.cdc.gov/view/cdc/38025) as well as a website (http:/www.cdc.gov/drugoverdose/prescribingresources.html) with additional tools to guide clinicians in implementing the recommendations.
LGB within the T: Sexual Orientation in the National Transgender Discrimination Survey and Implications for Public Policy

Author(s) Herman,  This book chapter examines sexual orientation and discrimination experienced by transgender people, using data from the National Transgender Discrimination Survey. This study explores how respondents to the NTDS identified their sexual orientation, how those responses differ based on demographic variables (e.g. age, race, and gender) and how respondents' experiences of discrimination and outcomes differ based on sexual orientation. The study finds that only 22% of transgender respondents identified as heterosexual or straight, and that transgender respondents who identify as sexual minorities (lesbian, gay, bisexual, queer, asexual or a different sexual minority) experience a greater likelihood than straight respondents of encountering some forms of discrimination at work, at school or in public.This chapter appears in Trans Studies: The Challenge to Hetero/Homo Normativities, an interdisciplinary essay collection edited by Yolanda Martinez San Miguel and Sarah Tobias on transgender scholarship and public policy. Trans Studies is available for purchase in print or as an ebook from Rutgers University Press.
An Analysis of WordNet's Coverage of Gender Identity Using Twitter and The National Transgender Discrimination Survey
Venue: GWC

While gender identities in the Western world are typically regarded as binary, our previous work (Hicks et al. 2015) shows that there is more lexical variety of gender identity and the way people identify their gender. There is also a growing need to lexically represent this variety of gender identities. In our previous work, we developed a set of tools and approaches for analyzing Twitter data as a basis for generating hypotheses on language used to identify gender and discuss gender related issues across geographic regions and population groups in the U.S.A. In this paper we analyze the coverage and relative frequency of the word forms in our Twitter analysis with respect to the National Transgender Discrimination Survey data set, one of the most comprehensive data sets on transgender, gender non conforming, and gender variant people in the U.S.A. We then analyze the coverage of WordNet, a widely used lexical database, with respect to these identities and discuss some key considerations and next steps for adding gender identity words and their meanings to WordNet.
Using Team based Learning to Teach a Hybrid Pharmacokinetics Course Online and in Class
Venue: American Journal of Pharmaceutical Education

To compare the effectiveness of face to face and online team based learning (TBL) to teach phenytoin pharmacokinetics.  A TBL format was used to teach an online cohort of 222 pharmacy students and two face to face cohorts (Tampa and Las Vegas) of pharmacy students. Students in all cohorts completed individual and team readiness tests (iRATs and tRATs) and a self assessment survey to determine teamwork and content understanding. Knowledge retention questions also were added to the final examination. Assessment. Mean scores on iRATs were: 54% for the Tampa group; 72% for the Las Vegas group; and 58% for the online. Mean tRAT scores were 78.5% for the Tampa cohort and 82.2% for the Las Vegas cohort, compared to 89.5% for the online cohort. The mean tRAT scores for the online cohorts were significantly higher than those of the face to face cohorts. Data from the teamwork survey provided evidence of positive interactions among teams for all cohorts.  Team based learning can be an effective method for teaching applied pharmacokinetics in both face to face and online classes.
Collaborative Knowledge Base Embedding for Recommender Systems
Venue: KDD

Among different recommendation techniques, collaborative filtering usually suffer from limited performance due to the sparsity of user item interactions. To address the issues, auxiliary information is usually used to boost the performance. Due to the rapid collection of information on the web, the knowledge base provides heterogeneous information including both structured and unstructured data with different semantics, which can be consumed by various applications. In this paper, we investigate how to leverage the heterogeneous information in a knowledge base to improve the quality of recommender systems. First, by exploiting the knowledge base, we design three components to extract items' semantic representations from structural content, textual content and visual content, respectively. To be specific, we adopt a heterogeneous network embedding method, termed as TransR, to extract items' structural representations by considering the heterogeneity of both nodes and relationships. We apply stacked denoising auto encoders and stacked convolutional auto encoders, which are two types of deep learning based embedding techniques, to extract items' textual representations and visual representations, respectively. Finally, we propose our final integrated framework, which is termed as Collaborative Knowledge Base Embedding (CKE) to jointly learn the latent representations in collaborative filtering as well as items' semantic representations from the knowledge base. To evaluate the performance of each embedding component as well as the whole system, we conduct extensive experiments with two real world datasets from different scenarios. The results reveal that our approaches outperform several widely adopted state of the art recommendation methods.
Nonlinear servo motion control based on unknown input observer

This paper presents an alternative control method based on a new unknown input observer (UIO) for servo motor systems with unknown time varying nonlinear dynamics and disturbances. By defining auxiliary filtered variables, an invariant manifold is derived and used to design the estimation of unknown dynamics. The new observer has only one scalar to be set, and thus can be easily incorporated into the control design to achieve precise output tracking. The convergence of the proposed estimator is compared with other three well known schemes. Comparative simulation results show the satisfactory estimation and control performance.
Effect of Virtual Reality Training on Balance and Gait Ability in Patients With Stroke: Systematic Review and Meta Analysis
Venue: Physical Therapy

Virtual reality (VR) training is considered to be a promising novel therapy for balance and gait recovery in patients with stroke.  The aim of this study was to conduct a systematic literature review with meta analysis to investigate whether balance or gait training using VR is more effective than conventional balance or gait training in patients with stroke.  A literature search was carried out in the databases PubMed, Embase, MEDLINE, and Cochrane Library up to December 1, 2015. Study Selection Randomized controlled trials that compared the effect of balance or gait training with and without VR on balance and gait ability in patients with stroke were included.  Twenty one studies with a median PEDro score of 6.0 were included. The included studies demonstrated a significant greater effect of VR training on balance and gait recovery after stroke compared with conventional therapy as indicated with the most frequently used measures: gait speed, Berg Balance Scale, and Timed "Up Go" Test. Virtual reality was more effective to train gait and balance than conventional training when VR interventions were added to conventional therapy and when time dose was matched.  The presence of publication bias and diversity in included studies were limitations of the study.  The results suggest that VR training is more effective than balance or gait training without VR for improving balance or gait ability in patients with stroke. Future studies are recommended to investigate the effect of VR on participation level with an adequate follow up period. Overall, a positive and promising effect of VR training on balance and gait ability is expected.
Li Fi (Light Fidelity) The Future Technology in Wireless Communication

ISSN 2277 5099 (c) 2016 Bonfring  Whether you're using wireless internet in a coffee shop, stealing it from the guy next door, or competing for bandwidth at a conference, you have probably gotten frustrated at the slow speeds you face when more than one device is tapped into the network. As more and more people and their many devices access wireless internet, clogged airwaves are going to make it. One germen phycist. Harald Haas has come up with a solution he calls "data through illumination" taking the fibber out of fiber optic by sending data through an 1LED light bulb that varies in intensity faster than the human eye can follow. It's the same idea band behind infrared remote controls but far more powerful. Haas says his invention, which he calls DLIGHT, can produce data rates faster than 10 megabits per second, which is speedier than your average broadband connection. He envisions a future where data for laptops, smart phones, and tablets is transmitted through the light in a room. And security would be snap if you can't see the light, you can't access the data.
Li Fi: The Future Bright Technology in Wireless Communication

In our day to day routine, transferring data from one place to another becomes probably important activities. However, the existing wireless networks are suffering from slow speed when multiple devices connected to the network to the internet. Conventional wireless communication like Wi Fi predominantly user micro/radio wave frequencies for transmitting data because the ability to provide, at low frequencies, broad coverage and, at high frequencies, a line of sight communications. Particularly, the radio waves spectrum has fixed bandwidth because it shapes a small part of the spectrum for transmitting data. Therefore, the increasing demand for wireless data has led to clogging of the radio spectrum. Wi Fi, like other technologies, has some limitations such as security, capacity, efficiency and availability issues. To overcome the shortcomings of Wi Fi, a new technology called Li Fi was developed. Li Fi technology, data through illumination, replaced the radio waves with visible light as the carrier by taking the fibre out of fibre optic and using an LED light bulb for sending data. UK scientists have achieved data transmission speed faster than 250 times than superfast broadband using LED light bulbs. This paper first gives a brief overview of the Li Fi. Then it shows the evidence for moving from using Wi Fi to using Li Fi in the future.
Sharing the keys to the kingdom: responding to employee theft by empowering employees to be guardians, place managers, and handlers

Employee theft is one of the most common crimes committed against small businesses; however, the role that employees of the business can play in actively controlling opportunities for employee theft has not yet been fully explored. This article presents an employee theft prevention strategy reliant upon the active efforts of employees, not business owners or managers. This adaptation reclassifies the roles of employees, owners, and managers by incorporating employees directly into the theft prevention process as crime controllers, while owners and managers are given the role of super controllers. Transitioning owners and managers into the role of a super controller elevates them to a position of high level guardianship and oversight, thereby allowing them to more effectively manage the business's overall theft prevention strategy. Giving employees responsibility for employee theft prevention efforts places responsibility for controlling the factors that lead to crime into the hands of employees who will serve as handlers of potential offenders, guardians of suitable targets, and place managers controlling locations where targets and offenders meet.
Characterisation of Silicon Carbide and Fly Ash in LM13 Aluminium Alloy Matrix Composites

The modern vehicles demand more thermal and mechanical properties as the speed of the vehicles is increasing. The materials used should be able to not only withstand the high temperatures but to dissipate it at a faster rate without deformation. This paper investigates the characteristics of silicon carbide (SiC) and fly ash in LM13 aluminium alloy matrix composite prepared by stir casting. The LM13 alloy has high thermal property which makes it ideal for making engines and gears. The effect of fly ash and SiC on LM13 and its influence on increasing the surface roughness was analyzed by varying their proportion. The addition of SiC and fly ash to the matrix composite increases the hardness and tensile strength of the composite which is validated by experimental results.
Application of Digital Image Processing to Detect Short Circuit Turns in Power Transformers Using Frequency Response Analysis
Venue: IEEE Transactions on Industrial Informatics

Although a frequency response analysis (FRA) technique has been extensively used to detect mechanical deformation within power transformers, interpretation of FRA signature still needs a high level of expertise to identify and quantify faults as there is no FRA interpretation code widely accepted yet. All commercial frequency response analyzers can measure the magnitude and phase angle of the impedance, admittance, or transfer function of each phase in a wide frequency range; however, only magnitude is currently used for fault identification and quantification. This paper presents a novel approach for FRA signature interpretation by incorporating the FRA magnitude and phase plots into one polar plot that captures more features of the measured signal than the magnitude plot. Digital image processing based techniques are employed to automate the fault identification and quantification process. To investigate the impact of transformer rating and size on the proposed technique, two transformers of different ratings and physical geometrical dimensions are simulated using 3 D finite element analysis to emulate transformer real operation. Short circuit of various fault levels is simulated at various locations within the high voltage and low voltage windings of the two transformer models and the obtained FRA polar plot signature for each case study is analyzed and compared with the healthy signature. Also, practical measurement is conducted to validate the simulation results. Results show that fault level along with fault location can be easily identified using the proposed polar plot signature along with the developed digital image processing technique.
MOSAIC DISEASE OF MAIZE CAUSED BY SUGARCANE MOSAIC POTYVIRUS IN SULAWESI

Mosaic disease of maize and grasses is commonly found in Sulawesi. The symptoms resemble the common mosaic symptoms of virus infection, but the pathogen has not been identified. The objective of this study was to identify the causal agent of the mosaic disease of maize and grasses in Sulawesi. Transmissions of the virus were studied by mechanical inoculation and the insect vector aphid. Serological study was done by using enzyme linked immunosorbent assay (ELISA) Results of mechanical inoculation showed that the disease was caused by a virus which was transmitted from diseased maize and grasses to healthy sweet corn seedlings. The disease was also transmitted by aphid (Rhopalosiphum maidis) Serological study indicated that the virus was closely related to the sugarcane mosaic virus (SCMV) Based on these results, it can be concluded that the maize and grass mosaic disease was caused by SCMV.