nils-herrmann/clean_scirepeval huggingface dataset:
Health Literacy and Health Information Technology Adoption: The Potential for a New Digital Divide
Venue: Journal of medical Internet research

Approximately one half of American adults exhibit low health literacy and thus struggle to find and use health information. Low health literacy is associated with negative outcomes including overall poorer health. Health information technology (HIT) makes health information available directly to patients through electronic tools including patient portals, wearable technology, and mobile apps. The direct availability of this information to patients, however, may be complicated by misunderstanding of HIT privacy and information sharing.  The purpose of this study was to determine whether health literacy is associated with patients' use of four types of HIT tools: fitness and nutrition apps, activity trackers, and patient portals. Additionally, we sought to explore whether health literacy is associated with patients' perceived ease of use and usefulness of these HIT tools, as well as patients' perceptions of privacy offered by HIT tools and trust in government, media, technology companies, and health care. This study is the first wide scale investigation of these interrelated concepts.  Participants were 4974 American adults (n=2102, 42.26% male, n=3146, 63.25% white, average age 43.5, SD 16.7 years) Participants completed the Newest Vital Sign measure of health literacy and indicated their actual use of HIT tools, as well as the perceived ease of use and usefulness of these applications. Participants also answered questions regarding information privacy and institutional trust, as well as demographic items.  Cross tabulation analysis indicated that adequate versus less than adequate health literacy was significantly associated with use of fitness apps (P=.02) nutrition apps (P<.001) activity trackers (P<.001) and patient portals (P<.001) Additionally, greater health literacy was significantly associated with greater perceived ease of use and perceived usefulness across all HIT tools after controlling for demographics. Regarding privacy perceptions of HIT and institutional trust, patients with greater health literacy often demonstrated decreased privacy perceptions for HIT tools including fitness apps (P<.001) and nutrition apps (P<.001) Health literacy was negatively associated with trust in government (P<.001) media (P<.001) and technology companies (P<.001) Interestingly, health literacy score was positively associated with trust in health care (P=.03)  Patients with low health literacy were less likely to use HIT tools or perceive them as easy or useful, but they perceived information on HIT as private. Given the fast paced evolution of technology, there is a pressing need to further the understanding of how health literacy is related to HIT app adoption and usage. This will ensure that all users receive the full health benefits from these technological advances, in a manner that protects health information privacy, and that users engage with organizations and providers they trust.
Why is employees' emotional intelligence important? The effects of EI on stress coping styles and job satisfaction in the hospitality industry

The purpose of this study is to examine the effects of hospitality employees' emotional intelligence (EI) on their stress coping styles and job satisfaction.  The sample consisted of 366 food and beverage employees in the Korean hospitality industry. The validity and reliability of the respondents' replies regarding EI, stress coping styles and job satisfaction were tested through exploratory factor analysis, reliability analysis and confirmatory factor analysis. Once the measure was validated, a structural equation model was used to test the validity of the proposed model and hypotheses.  The results showed that the elements of EI (i.e. self emotion appraisal [SEA] use of emotion [UOE] regulation of emotion [ROE] and others' emotion appraisal [OEA] had a significant, positive effect on the cognitive appraisal coping style, whereas only SEA and UOE had a significant, positive effect on the problem solving coping style. Meanwhile, SEA had a significant, negative effect on the emotion focused coping style. In addition, employees' problem solving and cognitive appraisal stress coping styles showed a significant, positive effect on their job satisfaction. Employees' UOE and ROE demonstrated a significant, positive effect on job satisfaction.  The generalizability and, therefore, implications are limited to the Korean hotels and family restaurants. Future research needs to closely examine models and variables which may become the causes of individual traits, relationship traits and leadership.  Strategies to cope with stress and job satisfaction used by family restaurant employees showed more sensitive effects of control than hotel employees did in the organic causal relationships between EI and strategies to cope with stress/job satisfaction. The results of this study, which indicate that hospitality companies can increase employees' job satisfaction by enhancing their employees' EI, suggest detailed and practical alternatives to human resource management, as employees with higher degrees of EI can bring positive outcomes to both organizations and employees. Hospitality employees' EI is significant in terms of organizational performance.
Local Public Service Provision and Spatial Inequality in Chinese Cities: The Role of Residential Income Sorting and Land Use Conditions

Spatial inequality refers to unequal access to local public services between high and low income households in relation to their residential locations. We examine two hypotheses regarding the role of income sorting and land use conditions in shaping spatial inequality in Chinese cities, where residents have little direct influence on local public service provision. First, in the presence of resource indivisibility, travel cost, and location based rationing, scarcity of public service resources in a city makes access to public services more uneven across neighborhoods, thus exacerbating income sorting and spatial inequality in the city. Second, the exacerbating effect of resource scarcity is mitigated by land use conditions that limit income sorting. Estimates of willingness to pay by households of different income levels for public service resources across cities corroborate both the exacerbating effect of resource scarcity and the mitigating effect of inclusive land use conditions.
Seeds Ecology Biogeography And Evolution Of Dormancy And Germination

Thank you very much for downloading seeds ecology biogeography and evolution of dormancy and germination. As you may know, people have look hundreds times for their favorite novels like this seeds ecology biogeography and evolution of dormancy and germination, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some harmful bugs inside their desktop computer.
Improving the performance of power system protection using wide area monitoring systems

Wide area monitoring (WAM) offers many opportunities to improve the performance of power system protection. This paper presents some of these opportunities and the motivation for their development. This methods include monitoring the suitability of relay characteristics, supervisory control of backup protection, more adaptive and intelligent system protection and the creation of novel system integrity protection scheme. The speed of response required for primary protection means that the role WAM in enhancing protection is limited to backup and system protection. The opportunities offered by WAM for enhancing protection are attractive because of the emerging challenges faced by the modern power system protection. The increasingly variable operating conditions of power systems are making it ever more difficult to select relay characteristics that will be a suitable compromise for all loading conditions and contingencies. The maloperation of relays has contributed to the inception and evolution of 70 of blackouts, thus the supervision of the backup protection may prove a valuable tool for preventing or limiting the scale of blackouts. The increasing interconnection and complexity of modern power systems has made them more vulnerable to wide area disturbances and this has contributed to several recent blackouts. The proper management of these wide area disturbances is beyond the scope of most of the existing protection and new, adaptive system integrity protection schemes are needed to protect power system security.
Developments of power system protection and control

Synchronized wide area communication has become a mature technology, which makes the real time interaction between the substations and the wide area protection and control system possible. However, the present protection and control system to handle this real time data has been recognized to be deficient. This paper begins by reviewing the development history of power system protection, with special attention paid to the recent development in the field of wide area and integrated protections, in order to look into the future development of protection and control systems. Then the concept of integrated wide area protection and control is introduced, where it can be shown that a hierarchical protection and control system provides the protection and control for wide area or regional power substations/plants and their associated power networks. The system is mainly divided into three levels: the local, the substation/plant, and the wide area/regional. The integrated functions at each level are described in details with an aim to develop an optimal coordination mechanism between each level. The key element in the proposed system is the wide area real time protection and control information platform, which not only enables the merger of three lines of defence for power system protection and control, but also provides a perfect tool for the application of cloud computing in substations and power networks.
Motivating Power System Protection Course Students by Practical and Computer Based Activities
Venue: IEEE Transactions on Education

This paper presents several methods for motivating students taking a power system protection (PSP) course. The paper reviews the laboratory activities developed for the PSP course at Curtin University, Australia; these methods are applicable and can be used for PSP course instruction at any institution. These activities were developed to improve the learning experience of the electrical engineering undergraduate and postgraduate students enrolled in this course. Initially, the PSP course at Curtin University consisted of lectures and tutorials accompanied by two sessions of software based simulations and one session of laboratory demonstration. To motivate the students, several computer based simulations and practical laboratory experiments were developed. PSCAD and ETAP power system analysis software tools are introduced and used to demonstrate the performance and coordination of different protection relays from steady state and dynamic points of view. Also, a practical setup composed of a LabVolt power system simulator and industrial relays is used to carry out several practical experiments. The experiments help students observe the performance of protection systems for transformers and induction motors during faults and abnormal operating conditions. Finally, the concept of relay testing and commissioning is introduced by relay standalone experiments using a secondary injection relay test set. The results of these activities were evaluated according to the students' satisfaction, comments, total scores, and interest in PSP.
Hybrid non isolated and non inverting Nx interleaved DC DC multilevel boost converter for renewable energy applications
Venue: 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)

In this paper hybrid non isolated/ non inverting Nx interleaved DC DC multilevel Boost Converter for renewable energy applications is presented. The presented hybrid topology is derived from the conventional interleaved converter and the Nx Multilevel boost converter. In renewable energy applications, generated energy cannot be directly used at application end. In most of the cases it needs to be stepped up with DC DC converter at operating voltage levels as per the requirement of the application. Though conventional boost converter can theoretically be used for this purpose, but obtaining such high gain implies that boost converter should operate at it its maximum duty cycle, which is not feasible due to the great variations in the output voltage caused by small variations in the duty cycle, leading the boost converter to instability and also increases the voltage stress across switches. The advantages of presenting topology of DC DC converter are high voltage conversion, reduce ripple, low voltage stress, non inverting without utilizing the high duty and transformer. The main advantage of presented topology is more number of levels can be increased by adding capacitor and diode circuitry to increase the voltage gain without disturbing the main circuit. Moreover, the presented topology is compared with several recent high gain converters. The proposed topology is simulated in MATLAB/SIMULATION and results will verify the validity of the design and operation of the converter.
Curating for Engagement: Identifying the Nature and Impact of Organizational Marketing Strategies on Pinterest
Venue: First Monday

In an increasingly overloaded information environment sparked by the explosion of digital media, the ability to curate content has taken on greater importance. This study begins with the supposition that businesses that are able to adopt a content curation role and help consumers sort through the daily influx of information may be more successful in attracting, engaging, and retaining customers while fostering brand awareness and word of mouth. Accordingly, this study investigates organizational marketing strategies on Pinterest, the fifth most popular U.S. social media site and the largest social curation platform. Pinterest effectively offers a unique opportunity for businesses to engage customers through social curation strategies, and in this paper we set out to address two related questions. First, how are organizations communicating with current and potential customers on Pinterest? And second, how effective are these strategies? We address these questions by inductively analyzing 1,095 "pins" sent by 18 cosmetic surgery businesses. Undertaking analyses at the pin, board, and account levels, we ultimately identify three distinct pinning strategies: Lifestyle, Information Source and Market Creator These strategies are then related to the effectiveness of brand awareness and word of mouth, using the number of repins as the primary measure of "reach" of a marketing campaign. The Lifestyle strategy had the biggest impact, generating the largest number of repins. The implications of these social curation strategies for social media marketing are explored.
Acceleration measurement based incremental nonlinear flight control for air breathing hypersonic vehicles

In this paper, nonlinear flight control problem for Air breathing Hypersonic Vehicles (AHVs) is addressed. Designing a high quality flight controller for AHVs is highly challenging due to model uncertainties caused by inherent structural/aerodynamic couplings, high nonlinearities within the large envelope. A nonlinear flight control approach named Sensor Based Backstepping (SBB) is employed to design a highly robust controller for AHVs, and ensure that the controller does not suffer from large parameter variations and model uncertainties. The SBB approach is essentially an incremental type of approximate dynamic inversion (ADI) control scheme developed based on singular perturbation theory and multi loop backstepping design methodology. The SBB uses angular accelerometers to capture dynamic changes in time derivatives of body angular rates, and requires nearly no accurate model information in its implementation. In this way, unlike model based adaptive nonlinear control laws such as adaptive nonlinear dynamic inversion (ANDI) dependency on accurate full model information and the associated identification workload is removed. Several key issues associated with inherent characteristics of AHVs before the SBB based AHV controller is developed. To validate the SBB flight controller, numerical simulations are performed on a nonlinear AHV model with sudden model parameter uncertainties introduced, and the controller is compared with the linear controller augmented Linear Quadratic Regulator (LQR) and the real time model based ANDI controller. The results have demonstrated the superior tracking performance of the SBB approach, and highlighted its strong robustness to model uncertainties.
Comparative Study of Forward and Backward Chaining in Artificial Intelligence

An artificial intelligence system is capable of elucidating and representing knowledge along with storing and manipulating data. Knowledge could be a collection of facts and principles build up by human. It is the refined form of information. Knowledge representation is to represent knowledge in a manner that facilitates the power to draw conclusions from knowledge. Knowledge representation is a good approach as conventional procedural code is not the best way to use for solving complex problems. Frames, Semantic Nets, Systems Architecture, Rules, and Ontology are its techniques to represent knowledge. Forward and backward chaining are the two main methods of reasoning used in an inference engine. It is a very common approach for "expert systems" business and systems. This paper focus on the concept of knowledge representation in artificial intelligence and the elaborating the comparison of forward and backward chaining.
Detection of Co salient Objects by Looking Deep and Wide
Venue: International Journal of Computer Vision

In this paper, we propose a unified co salient object detection framework by introducing two novel insights: (1) looking deep to transfer higher level representations by using the convolutional neural network with additional adaptive layers could better reflect the sematic properties of the co salient objects; (2) looking wide to take advantage of the visually similar neighbors from other image groups could effectively suppress the influence of the common background regions. The wide and deep information are explored for the object proposal windows extracted in each image. The window level co saliency scores are calculated by integrating the intra image contrast, the intra group consistency, and the inter group separability via a principled Bayesian formulation and are then converted to the superpixel level co saliency maps through a foreground region agreement strategy. Comprehensive experiments on two existing and one newly established datasets have demonstrated the consistent performance gain of the proposed approach.
Lung Nodule Classification Using Deep Features in Ct Images

This paper suggest a novel arrangement technique for the four varieties of lung nodules, i.e. well circumscribed, vascularized, juxta pleural, and pleural tail, in minute dose computed tomography scans. The proposed technique is built on contextual analysis by merging the lung nodule and adjacent anatomical structures, and has three main stages: an adaptive patch based division is used to build concentric multilevel partition; then, a new feature set is planned to incorporate intensity, texture, and gradient information for image patch feature description, and then a contextual latent semantic analysis based classifier is designed to compute the probabilistic estimations for the related images. Our proposed method was estimated on a publicly existing dataset and obviously demonstrated promising classification performance.
Survey on advances in orbital dynamics and control for libration point orbits

Libration point orbits (LPOs) have drawn a lot of interest because of their great significance in deep space exploration. This paper summarizes the past developments and then presents the current state of art of LPOs including the dynamical structure of phase space, the transfer trajectories and homoclinic/heterclinic connections of LPOs, the station keeping strategies, and some constellation deployments employing LPOs. Subsequently addressed are the applications of the LPO theory into the fields of lunar transfers, solar sail equilibria and formation flying. Finally, future research directions on LPOs are described from the aspects of the existence proof of Halo orbits, orbital design for the potential missions motivated by LPOs, and so on.
Towards Automatic Detection of Amyotrophic Lateral Sclerosis from Speech Acoustic and Articulatory Samples
Venue: INTERSPEECH

Amyotrophic lateral sclerosis (ALS) is a rapid neurodegenerative disease that affects the speech motor functions of patients, thus causes dysarthria. There is no definite marker for the diagnosis of ALS. Currently, the diagnosis of ALS is primarily based on clinical observations of upper and lower motor neuron damage in the absence of other causes, which is timeconsuming, of high cost, and often delayed. Timely diagnosis and assessment for ALS are crucial. Automatic detection of ALS from speech samples would advance the diagnosis of ALS. In this paper, we investigated the automatic detection of ALS from short, pre symptom speech acoustic and articulatory samples using machine learning approaches (support vector machine and deep neural network) A data set of more than 2,500 speech samples collected from eleven patients with ALS and eleven healthy speakers was used. Leave subjects out cross validation experimental results indicate the feasibility of the automatic detection of ALS from speech samples. Adding articulatory motion information (from tongue and lips) further improved the detection performance.
Danmei, Xianqing, and the making of a queer online public sphere in China

Danmei is the Chinese term for boys' love, a genre of male male romance created by and for women and sexual minorities. This commentary focuses on Xianqing, a well known danmei forum established under the aegis of a women oriented literature website in 2003. Although mainly dedicated to popular media consumption, Xianqing has over the years become both a part of the larger online public sphere in China and a unique queer public sphere that defies any simple classification, offering pleasures, meanings, and identities to numerous diehard danmei fans residing in and out of China, despite recurrent technical problems, managerial failures, and increasing censorship. Through revealing some of the paradoxes and ambiguities of this alternative public sphere, we seek to highlight the understudied gendered dimension of the online public sphere in China and question the rigid distinction between politics and entertainment in academic discourse.
Grotesque eroticism in the Danmei genre: the case of Lucifer's Club in Chinese cyberspace

ABSTRACTThis article explores the element of grotesque eroticism in the description of male homosexual romance in online fiction produced by and for heterosexual females in the Greater China area. The element of grotesque porn/eroticism consists of scenes of rape, gang rape, incest, sado masochism, sexual torture and scientific impossibilities such as male pregnancy. A case study of the fan oriented website Lucifer's Club aims at positioning the phenomenon of Danmei (homoerotic writings by and for heterosexual females) within the larger field of pornography. The element of homosexual porn in a grotesque form is analyzed from the perspective of female voyeurism and the concept of the female gaze. By producing and consuming Danmei, the article argues, heterosexual females in Chinese cyberspace explore and test the boundaries of their own female sexuality.