nils-herrmann/clean_scirepeval huggingface dataset:
Do YouTube Vlogs influence Purchase Intention? The Mediation Role of Perceived Source Credibility
Year: 2020

The purpose of this paper is to explore the influence of YouTube Vlogs on consumers' purchase intention with the mediating role of perceived source credibility and previous experience of consumers in using the product as a moderator. Research data were obtained through questionnaires by the method of convenience sampling, distributed among Indian females who often use YouTube for watching videos. The study was conducted in Punjab and Chandigarh Tricity. A total of 200 questionnaires were distributed through the social networks from which 170 responses were obtained. While analyzing the data, 20 questionnaires got discarded because of missing and invalid responses. Therefore, a total of 150 questionnaires were analyzed for results. The technique of regression analysis and Model 5 of PROCESS version 3.4 for IBM SPSS with bootstrap 5000 was used to analyse the data. The research found that YouTube vlogs have a significant effect on influencing consumers' purchase intention. YouTube vloggers were perceived as trustworthy, expert, and attractive by consumers. However, the relationship between YouTube vlogs and purchase intention was not mediated by the trustworthiness, expertise, and attractiveness of vloggers. Consumers' previous experience in using the product has a significant effect on the purchase intention but as a moderator, it does not affect YouTube vlogs and purchase intention. The results of this study suggest that marketers can utilize online advertising and YouTube vlogs for their business Brands can collaborate with YouTube vloggers because most of the females watch their reviews before buying the products.
Does Active Choosing Promote Green Energy Use? Experimental Evidence
Year: 2015

Many officials have been considering whether it is possible or desirable to use choice architecture to increase use of environmentally friendly "green" products and activities. The right approach could produce significant environmental benefits, including large reductions in greenhouse gas emissions and better air quality. This Article presents new data from an online experiment (N=1,245) in which participants were asked questions about hypothetical green energy programs. The central finding is that active choosing had larger effects than green energy defaults (automatic enrollment in green energy) apparently because of the interaction between people's feelings of guilt and their feelings of reactance. This finding is driven principally by the fact that when green energy costs more, there is a significant increase in opt outs from green defaults, whereas with active choosing, green energy retains considerable appeal even when it costs more.More specifically, we report four principal findings. First, forcing participants to make an active choice between a green energy provider and a standard energy provider led to higher enrollment in the green program than did either green energy defaults or standard energy defaults. Second, active choosing caused participants to feel more guilty about not enrolling in the green energy program than did either green energy defaults or standard energy defaults; the level of guilt was positively related to the probability of enrolling. Third, respondents were less likely to approve of the green energy default than of the standard energy default, but only when green energy cost extra, which suggests reactance towards green defaults when enrollment means additional private costs. Fourth, respondents appeared to have inferred that green energy automatically would come at a higher cost and/or be of worse quality than less environmentally friendly energy. These findings raise important questions both for future research and for policymaking. If they reflect real world behavior, they suggest the potentially large effects of active choosing perhaps larger, in some cases, than those of green energy defaults.
Patient focused interventions to support vulnerable people using oral anticoagulants: a narrative review
Venue: Therapeutic advances in drug safety
Year: 2019

The aim of this review was to identify patient focused interventions that have been trialed to support vulnerable patient populations taking oral anticoagulants (warfarin and the direct acting oral anticoagulants (DOACs) such as older persons (65 years and over) those with limited health literacy, and those from culturally and linguistically diverse (CALD) backgrounds. This review also aimed to report on the effects of these interventions on outcomes relevant to the use of anticoagulant therapy. Original articles published between 1 January 1995 and 30 June 2017 were identified using several electronic databases such as Medline, Ovid, Embase, Scopus, Cochrane, and Google Scholar. The following terms were used for the three tiered search: Tier 1, elderly, aged, older adult, geriatrics; Tier 2, health literacy, literacy, low health literacy, low English proficiency, patient literacy; and Tier 3, ethnicity, ethnic, ethnic groups, CALD, culturally and linguistically diverse, NESB, non English speaking background, race, racial groups, religion, religious groups, and minority groups. The terms for each tier were combined with the following terms: anticoagulants, anticoagulation, warfarin, apixaban, dabigatran, rivaroxaban, DOACS, new oral anticoagulants, novel oral anticoagulants, patient care, patient knowledge, comprehension, patient education, patient participation, and communication. A total of 41 studies were identified. Most of the interventions identified included older persons taking warfarin who were monitored using the international normalized ratio (INR) and who received patient education. Many interventions reported a significant positive impact on patients' knowledge, reduction in the number of adverse events caused by hemorrhage, and better INR control. More research on patient focused interventions is needed that includes patients with limited health literacy, those from CALD backgrounds, and family members and caregivers of patients taking oral anticoagulants.
Underwater Robot Task Planning Using Multi Objective Meta Heuristics
Venue: Sensors
Year: 2017

Robotics deployed in the underwater medium are subject to stringent operational conditions that impose a high degree of criticality on the allocation of resources and the schedule of operations in mission planning. In this context the so called cost of a mission must be considered as an additional criterion when designing optimal task schedules within the mission at hand. Such a cost can be conceived as the impact of the mission on the robotic resources themselves, which range from the consumption of battery to other negative effects such as mechanic erosion. This manuscript focuses on this issue by devising three heuristic solvers aimed at efficiently scheduling tasks in robotic swarms, which collaborate together to accomplish a mission, and by presenting experimental results obtained over realistic scenarios in the underwater environment. The heuristic techniques resort to a Random Keys encoding strategy to represent the allocation of robots to tasks and the relative execution order of such tasks within the schedule of certain robots. The obtained results reveal interesting differences in terms of Pareto optimality and spread between the algorithms considered in the benchmark, which are insightful for the selection of a proper task scheduler in real underwater campaigns.
Waveform progressive tire mold element
Year: 2008

Particular embodiments of the present invention include an undulating sipe mold member (10) and a corresponding sipe formed within a tire tread. In a particular embodiment, the present invention includes an undulating sipe mold member 10) for use in a mold, the mold member comprising: an upper mold member (12) extending downwardly from a top end to a bottom end; and, a first lower projection member (14) and a second lower projection member(16) each lower member extending downward from the initial extension, the sipe mold member (10) having a sweep axis along which the sipe mold member undulates in a desired path.
Ji Guang Guang Shu Zhi Liang Yin Zi M2Dui Ji Guang Li Du Yi Ce Liang Jie Guo De Ying Xiang Influence of Laser Beam Quality Factor M2 on Measurement Results of Laser Particle Sizer
Year: 2017

Ji Guang Li Du Yi Shi Xin Xing De Ke Li Wu Li Du Fen Xi De Jian Ce She Bei ,Qi Yi Ji Guang Qi Zuo Wei Zhao Ming De Zhong Yao Zu Jian Ji Guang Guang Shu Zhi Liang Yin Zi M2Shi Dui Ji Guang Qi Xi Tong Jin Xing Zhi Liang Jian Kong Ji Fu Zhu She Ji De Ping Jie Biao Zhun Ben Wen Zai Fen Xi Liao Ke Li Li Du Fen Bu Han Shu He Ji Guang Li Du Yi Gong Zuo  Zhao Zhong Jie Shao Liao Ji Guang Guang Shu Zhi Liang Yin Zi M2Dui Ji Guang Li Du Yi Ce Liang Jie Guo De Ying Xiang Yan Jiu Jie Guo Biao Ming ,M2Yin Zi Zhu  Cong Guang Shu Fa San Jiao He Guang Shu Shu Yao Kuan Du Liang Ge Fang Mian Dao Zhi Yi Qi De Ce Liang Jie Guo Chan Sheng Wu Chai Ju Li Fen Xi Mo Ni Fang Zhen De Chu Yi Xia Jie Lun :Guang Shu Fa San Jiao De Da Xiao Yu Wu Chai Zhi Cheng Zheng Bi ,Ji Fa San Jiao Yue Xiao ,Ze Wu Chai Yue Xiao ;Zai M2Yin Zi Xuan Qu Fan Wei Nei (1~1.8),Guang Shu Shu Yao Kuan Du Dui Yi Qi De Ce Liang Jie Guo De Ying Xiang Ke Yi Hu Lue Bu Ji You M2Yin Zi Yu Guang Shu Fa San Jiao Shi Zheng Bi Guan Xi ,Yu Guang Shu Shu Yao Kuan Du Cheng Fan Bi ,Yin Ci ,M2Yin Zi Yu Xiao ,Dui Ji Guang Li Du Yi Ce Liang Jie Guo Zao Cheng De Wu Chai Jiu Yu Xiao Wei Ci ,Yan Jiu M2Yin Zi Dui Ji Guang Li Du Yi Ce Liang Jie Guo De Ying Xiang Jiu Xian De You Wei Zhong Yao Liao The laser particle size analyzer, the laser as the important component of the illumination, is a new equipment for the particle size analysis of the particle. The laser beam quality factor M2 is an evaluation standard for the quality control and aided design of the laser system. After analyzing the particle size distribution function and the working principle of laser particle sizer, the effect of laser beam quality factor M2 on the measurement results of Laser Particle Sizer is emphasized. The results show that the M2 factor mainly results from the two aspects of the beam divergence and the waist width of the beam. The simulation example analysis draws the following conclusions: The size of the beam divergence angle is proportional to the error value, that is, the smaller the divergence angle, the smaller the error. In the M2 factor selection range (1 1.8) the influence of the beam waist width on the measurement results of the instrument is negligible. Moreover, the M2 factor is directly proportional to the beam divergence angle and inversely proportional to the beam waist width. Therefore, the smaller the M2 factor, the smaller the error caused by the laser particle sizer. Therefore, it is very important to study the influence of M2 factor on the measurement result of laser particle sizer.
Identifying sources of dust aerosol using a new framework based on remote sensing and modelling.
Venue: The Science of the total environment
Year: 2020

Dust particles are transported globally. Dust storms can adversely impact both human health and the environment, but they also impact transportation infrastructure, agriculture, and industry, occasionally severely. The identification of the locations that are the primary sources of dust, especially in arid and semi arid environments, remains a challenge as these sites are often in remote or data scarce regions. In this study, a new method using state of the art machine learning algorithms random forest (RF) support vector machines (SVM) and multivariate adaptive regression splines (MARS) was evaluated for its ability to spatially model the distribution of dust source potential in eastern Iran. To accomplish this, empirically identified dust source locations were determined with the ozone monitoring instrument aerosol index and the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol optical thickness methods. The identified areas were divided into training (70% and validation (30% sets. Measurements of the conditioning factors (lithology, wind speed, maximum air temperature, land use, slope angle, soil, rainfall, and land cover) were compiled for the study area and predictive models were developed. The area under the receiver operating characteristics curve (AUC) and true skill statistics (TSS) were used to validate the maps of the models' predictions. The results show that the RF algorithm performed best (AUC 89.4% and TSS 0.751) followed by the SVM (AUC 87.5% TSS 0.73) and the MARS algorithm (AUC 81% TSS 0.69) The results of the RF indicated that wind speed and land cover are the most important factors affecting dust generation. The region of highest dust source potential that was identified by the RF is in the eastern parts of the study region. This model can be applied to other arid and semi arid environments that experience dust storms to promote management that prevents desertification and reduces dust production.
Robotics and STEM learning: students' achievements in assignments according to the P3 Task Taxonomy practice, problem solving, and projects
Year: 2018

This study presents the case of development and evaluation of a STEM oriented 30 h robotics course for junior high school students (n 32) Class activities were designed according to the P3 Task Taxonomy, which included: (1) practice basic closed ended tasks and exercises; (2) problem solving small scale open ended assignments in which the learner can choose the solution method or arrive at different answers; and (3) project based learning open ended challenging tasks. The research aimed at exploring students' working patterns, achievements in learning the course, and the impact of this experience on students' motivation to learn STEM subjects. Evaluation tools included a final exam on factual, procedural and conceptual knowledge in the STEM subject learned in the course, class observations, interviews with the students, and administrating an attitude questionnaire before and after the course. Since the experimental class was quite heterogenic in regard to students' prior learning achievements and motivation to learn, some of the students completed just the basic exercises, others coped well with the problem solving tasks, and only a few took it upon themselves to carry out a complex project. However, all students showed high motivation to learn robotics and STEM subjects. In summary, robotics provides a very rich and attractive learning environment for STEM education. Yet, the realization of this potential depends largely on careful design of the course methodology and especially the students' assignments in the class. One should recognize that often only some students are capable of learning a new subject on their own through project work, and these students also need to gain additional knowledge and skills before dealing with complex projects.
Rigid Body, Flexible Body, and Micro Electromechanical Systems
Year: 2013

Planar multibody systems, and revolute and prismatic joints with clearance and friction are initially modeled in this chapter with Rapson slide and Andrew's mechanism as two examples. For modeling spatial multibody systems, the concepts of noninertial reference frame, Euler angles, and coordinate transformations, etc. are introduced. Hydraulically actuated leg of a Stewart platform and spinning top are modeled as examples. Flexible body systems such as beams, beam columns, composite beams, and bimetallic strips are modeled through spatial discretization and lumped parameter approximation. A thorough treatment is given to modeling of piezoelectric actuators and sensors. Thereafter, models for various microelectromechanical systems (MEMS) like micromirrors, micromotors, magnetohydrodynamic micropumps, wet shape memory alloy (SMA) actuator, and energy harvesting systems, etc. are developed. Further, models of rotor bearing systems with rolling element, journal, and magnetic bearings are developed with special emphasis on active magnetic bearing model. The importance of integrated modeling is shown by considering the case of Sommerfeld effect in a rotor dynamic system and its control through shape memory alloy actuators.
Factores claves del exito de las organizaciones que han adoptado la norma ISO 9001
Year: 2018

espanolQuality is fundamental for organizations to achieve results. In history, quality has evolved in such a way that some philosophies have been developed, including Total Quality Management (TQM) to enable organizations to fulfill their purpose. However, like all philosophy, TQM requires models and guidelines that allow the organizations to assume the benefits they expect. One such model is ISO 9001, the most recognized worldwide, which promotes benefits through compliance with the requirements of this standard and the continuous improvement of the quality management system. Although there are many studies on the key factors of TQM's success in organizations, it is not considered appropriate to assume them for ISO 9001, since it has a particular structure and purposes that need to be taken into account. Through the review of pertinent literature, this article proposed key factors to achieve the success of the quality management systems of organizations based on ISO 9001. espanolLa Calidad es fundamental para que las organizaciones puedan obtener resultados. En la historia, la calidad ha evolucionado de tal manera que en la actualidad se han desarrollado algunas filosofias, entre ellas la Gestion Total de la Calidad (TQM) para permitir a las organizaciones cumplir con su proposito. Sin embargo, como toda filosofia, TQM requiere de modelos y lineamientos que permitan ser asumidos por las organizaciones y obtengan los beneficios que esperan. Uno de esos modelos es la norma ISO 9001, la mas reconocida a nivel mundial, que promueve beneficios a traves del cumplimiento de los requisitos de esta norma y la mejora continua del sistema de gestion de calidad. A pesar de que existen abundantes estudios acerca de los factores clave del exito de TQM en las organizaciones, no se considera conveniente asumirlos para la norma ISO 9001, debido que asta tiene una estructura y propositos particulares que requieren ser tomados en cuenta. A traves de la revisien de literatura pertinente, en este articulo se propusieron factores claves para alcanzar el exito de los sistemas de gestion de calidad de las organizaciones basados en la norma ISO 9001.
WORLD: A Vocoder Based High Quality Speech Synthesis System for Real Time Applications
Venue: IEICE Trans. Inf. Syst.
Year: 2016

A vocoder based speech synthesis system, named WORLD, was developed in an effort to improve the sound quality of realtime applications using speech. Speech analysis, manipulation, and synthesis on the basis of vocoders are used in various kinds of speech research. Although several high quality speech synthesis systems have been developed, real time processing has been difficult with them because of their high computational costs. This new speech synthesis system has not only sound quality but also quick processing. It consists of three analysis algorithms and one synthesis algorithm proposed in our previous research. The effectiveness of the system was evaluated by comparing its output with against natural speech including consonants. Its processing speed was also compared with those of conventional systems. The results showed that WORLD was superior to the other systems in terms of both sound quality and processing speed. In particular, it was over ten times faster than the conventional systems, and the real time factor (RTF) indicated that it was fast enough for real time processing. key words: speech analysis, speech synthesis, vocoder, sound quality, realtime processing
Commentary: Sports participation at 4 years old? Thoughts on mental health risk trajectories in the longitudinal study of Australian children a commentary on Vella et al. (2018)
Venue: Child and adolescent mental health
Year: 2019

Vella and colleagues (this issue) report on children in the kindergarten cohort of the Longitudinal Study of Australian Children (LSAC) study, using predictors from age 4 years to identify six trajectories of mental health risk from ages 4 12. Somewhat surprisingly, they find that among some predictable candidates for risk, such as sex and family income, that sports participation at age four emerges as a novel predictor of low difficulty with respect to mental health trajectories across the next 8 years. Is this a case of mens sana in corpore sano? Or is sports participation, that is, swimming, dancing, gymnastics, and team sports, a proxy for other factors? What can the various predictors and the trajectories of mental health risk from this longitudinal study tell us about interventions to reduce risk?
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation
Venue: AAAI
Year: 2020

Most existing studies on next location recommendation propose to model the sequential regularity of check in sequences, but suffer from the severe data sparsity issue where most locations have fewer than five following locations. To this end, we propose an Attentional Recurrent Neural Network (ARNN) to jointly model both the sequential regularity and transition regularities of similar locations (neighbors) In particular, we first design a meta path based random walk over a novel knowledge graph to discover location neighbors based on heterogeneous factors. A recurrent neural network is then adopted to model the sequential regularity by capturing various contexts that govern user mobility. Meanwhile, the transition regularities of the discovered neighbors are integrated via the attention mechanism, which seamlessly cooperates with the sequential regularity as a unified recurrent framework. Experimental results on multiple real world datasets demonstrate that ARNN outperforms state of the art methods.
A metaheuristic approach to solve Dynamic Vehicle Routing Problem in continuous search space
Venue: Swarm Evol. Comput.
Year: 2019

This paper investigates a hypothesis that in case of hard optimization problems, selection of the proper search space is more relevant than the choice of the solving algorithm. Dynamic Vehicle Routing Problem is used as a test problem and the hypothesis is verified experimentally on the well known set of benchmark instances. The paper compares Particle Swarm Optimization (PSO) and Differential Evolution (DE) operating in two continuous search spaces (giving in total four distinctive approaches) and a state of the art discrete encoding utilizing Genetic Algorithm (GA) The advantage of selected continuous search space over a discrete one is verified on the basis of quality of the final solution and stability of intermediate partial solutions. During stability analysis it has been observed that practical level of uncertainty, resulting from the dynamic nature of the problem, is lower than could be expected from a popular degree of dynamism measure. In order to challenge that issue, benchmark problems have been solved also with a higher level of dynamism and an empirical degree of dynamism has been proposed as an additional measure of the amount of uncertainty of the problem. The results obtained by both continuous algorithms outperform those of state of the art algorithms utilizing discrete problem representation, while the performance differences between them (PSO and DE) are minute. Apart from higher numerical efficiency in solving DVRP, the use of continuous problem encoding proved its advantage over discrete encoding also in terms of intermediate solutions stability. Requests to vehicles assignment sequences generated by the proposed approach were approximately 40% more accurate with respect to the final solution than their counterparts generated with a discrete encoding. Analysis of these sequences of intermediate solutions for several benchmark sets resulted in designing a penalty term taking into account a specific dynamic nature of the optimized problem. An addition of this penalty term improved the above mentioned stability of partial solutions by another 10%