nils-herrmann/clean_scirepeval huggingface dataset:
Cognitive support for learning computer based tasks using animated demonstration
Venue: Interact. Learn. Environ.

This study investigated the influence of cognitive support for learning computer based tasks using animated demonstration (AD) on instructional efficiency. Cognitive support included (1) segmentation and learner control introducing interactive devices that allow content sequencing through a navigational menu, and content pacing through stop and play buttons along with a slide bar for fast forward and rewind; (2) presentation modality and (3) a hybrid approach using a combined format of ADs with static graphics. Instructional efficiency was a combined effect of time on task during the learning phase and test performance. Time on task was included as a measurement to determine whether this would provide an alternative explanation for the benefits of learner control. Three learner paced conditions with different types of cognitive support were developed, whereas a system paced format, created without additional cognitive support, was used as a control condition. The learning task of this study was using graphic vector based software Bezier tools to trace a cartoon. The results tended to suggest that the combination of different types of cognitive support (i.e. presenting the accompanying explanations as written captions to the learner paced AD in visual only instruction or combining learner paced AD with static graphics in dual modality instruction) had a positive effect, while learner pacing alone had not a significant positive effect.
Explicit formulas for the distribution of complex zeros of a family of random sums

The present paper provides an explicit formula for the average intensity of the distribution of complex zeros of a family of random sums of the form S n z j 0 n e j f j z where z is the complex variable x i y e j a j i b j and a j j 0 n and b j j 0 n are sequences of standard normal independent random variables, and f j j 0 n is a sequence of given analytic functions that are real valued on the real number line. In addition, the numerical computations of the intensity functions and the empirical distributions for the special cases of random Weyl polynomials, random Taylor polynomials and random truncated Fourier cosine series are included as examples.
Deep learning for visual understanding: A review
Venue: Neurocomputing

Deep learning algorithms are a subset of the machine learning algorithms, which aim at discovering multiple levels of distributed representations. Recently, numerous deep learning algorithms have been proposed to solve traditional artificial intelligence problems. This work aims to review the state of the art in deep learning algorithms in computer vision by highlighting the contributions and challenges from over 210 recent research papers. It first gives an overview of various deep learning approaches and their recent developments, and then briefly describes their applications in diverse vision tasks, such as image classification, object detection, image retrieval, semantic segmentation and human pose estimation. Finally, the paper summarizes the future trends and challenges in designing and training deep neural networks.
Speckle reducing scale invariant feature transform match for synthetic aperture radar image registration

The anisotropic scale space (ASS) is often used to enhance the performance of a scale invariant feature transform (SIFT) algorithm in the registration of synthetic aperture radar (SAR) images. The existing ASS based methods usually suffer from unstable keypoints and false matches, since the anisotropic diffusion filtering has limitations in reducing the speckle noise from SAR images while building the ASS image representation. We proposed a speckle reducing SIFT match method to obtain stable keypoints and acquire precise matches for the SAR image registration. First, the keypoints are detected in a speckle reducing anisotropic scale space constructed by the speckle reducing anisotropic diffusion, so that speckle noise is greatly reduced and prominent structures of the images are preserved, consequently the stable keypoints can be derived. Next, the probabilistic relaxation labeling approach is employed to establish the matches of the keypoints then the correct match rate of the keypoints is significantly increased. Experiments conducted on simulated speckled images and real SAR images demonstrate the effectiveness of the proposed method.
FINANCIAL MANAGEMENT SKILLS AMONG KINDERGARTEN TEACHERS IN SELANGOR

Although financial management is one of the most important skills in life, its importance is still not being recognized by society due to lack of exposure. Few studies address this issue. This study aims at identifying financial management skills among kindergarten teachers in Selangor. This study involved 60 teachers from selected kindergartens in Selangor. It is conducted to determine the level of financial literacy and financial management skills among kindergarten teachers. The research used quantitative methodology and data were analyzed using descriptive methods. The results of this study showed that kindergarten teachers have a high level of financial literacy and financial management skills especially in basic financial concepts involving expenses and savings. The findings also showed that there were differences between the level of financial management skills of urban and rural kindergarten teachers especially in the aspect of credit management.
Microbial Biotechnology 2020
Venue: Microbial biotechnology

Microbial biotechnology is an exceptionally dynamic and exciting sector of the biomedical sciences that is unique in the breath and diversity of products and services it provides/will provide and to which it contributes, such as disease prevention and therapy, diagnostics, agriculture and horticulture, food provision and nutrition, energy production, production of chemicals and materials, water and waste treatment, recycling, acquisition of and adding value to natural resources, environmental monitoring, forensics, sustainable practices, etc. The development of rapid and affordable genomics technologies and accompanying bioinformatic tools, of systems and synthetic biology approaches, single cell techniques, and of high resolution analytical and imaging instruments, has provided new impulses to the field and opened new avenues of application, some of which, such as microbiome engineering, bioenergy and bioelectric applications, the use of microbial toxins for therapy and cosmetic applications, etc. promise to revolutionize our lives in a manner similar to that ushered in by the development of computers, the Internet and smart phones. The extent of present and future enrichment of human endeavour, prosperity and well being to be brought about by microbial biotechnology, as well as its contribution to solutions to fundamental problems we and planet Earth are facing the Grand Challenges is only now beginning to be appreciated.
MicroRNA, a new target for engineering new crop cultivars
Venue: Bioengineered

Global sustainable development depends on, at least partially, the sustainable development of crop reproduction that provides food, cloth and bioenergy as well certain drugs. During thousands of years of human history, many crops have been domesticated for feeding the world. Perfectly, in the past 2 decades, scientists have innovated biotechnological tools for improving crop yield and quality. For sustainable development, more targets and tools are needed to develop. Among these, microRNA (miRNA) is becoming an emerging target for engineering new crop cultivars with high yield and quality as well tolerance to environmental abiotic and biotic stresses. miRNAs are an extensive class of small regulatory RNAs, which play essential roles in all plant biological and metabolic processes, not only in plant development and growth but also in compound biosynthesis and response to various environmental stress. miRNA based biotechnology is becoming a new strategy for crop improvement, which will play important role in future agricultural sustainable development.
Customer's Attitude towards Eco Friendly Product

It has been the concern at global platform for the purpose of the preservation of the polluting and degradation of environment. Many studies have been conducted on the green marketing exploring the importance of the topic and relationship to the attitude and purchasing behavior of the consumers of ecofriendly products. In present, consumers are becoming sensitive to the need for switching to green products and services. Though the shift to "green" may appear to be expensive in the short term, it will definitely prove to be indispensable and advantageous, cost wise too, in the long run. A number of literature discuss about green marketing and pays attention to the relationship between customer's attitude and environmental strategies in relation to the company's product and services. The present research is an attempt to find out consumer's attitude towards green products. A primary research of 100 respondents in Delhi was carried out to find the various issues related to green products. Price and product features have a strong impact on the buying decision making process.
Evaluating the Impact of the "Getting The Love You Want" Couples Workshop on Relational Satisfaction and Communication Patterns

Over the past 20 years, couples around the world have participated in "Getting The Love You Want" workshops in an effort to improve their relationships, yet empirical analysis of relationship improvement from these workshops is limited. The content of the workshops is based on the theory and practice of Imago relationship therapy and participants from three workshops participated in this study. Standard measures were used in preworkshop, postworkshop, and 3 month follow up assessments to determine if the workshop had a positive impact on relational satisfaction and communication patterns of participants and if the impacts persisted after 3 months. Participant scores on both the Dyadic Adjustment Scale and the Communication Pattern Questionnaire showed significant increases post workshop, indicating the potential impact of these interventions in the short term.
Understanding online repurchase intention: social exchange theory and shopping habit
Venue: Inf. Syst. E Bus. Manag.

Customer retention plays a key role in online shopping success. However, little attention has been paid to how online customers' shopping habit moderates the relationship between their evaluation of online services and repurchase intention. To fill this gap, this study draws on both social exchange theory and IS use theory to propose a model. The social exchange theory is characterized as emotional evaluation (i.e. satisfaction with outcome quality, satisfaction with process quality) and rational evaluation (i.e. trust, learning) We view online repurchase as post adoption phenomena of IS use that entail users' beliefs, perception, and intention. The proposed model and hypotheses are supported by the empirical data from 469 online customers. Our findings show that shopping habit increases the influence of emotional evaluation on continuance, while habit weakens the impact of rational evaluation on continuance intention. The integration of social exchange theory and IS use (continuance) distinguishes our study from others who have primarily considered these theories disparately.
Hedonic Shopping Motive As A Routinization Habit On The Consumer Purchase Decisions At Starbucks Coffee

The middle class growth has various lifestyles. One of them is consuming coffee in modern coffee shops. Coffee consumption has increased in Indonesia since 2010 2014. The steady increase of the Indonesian peoples purchasing power has made Starbucks wanting to keep increase their new outlets number in Indonesia because Indonesia is a large market for Starbucks. This study aims to determine the effects of hedonic shopping motive on the consumers purchase decisions at Starbucks Coffee Trans Studio Mall Bandung. The method of data collection was done by distributing questionnaires to 100 respondents who had made purchases at Starbucks Coffee Trans Studio Mall Bandung. The Sampling technique of this research was purposive sampling and the data analysis method used was multiple linear regression analysis. T test results showed that Adventure shopping, gratification shopping, role shopping and value shopping influence the consumer purchase decisions at Starbucks Coffee Trans Studio Mall Bandung. Meanwhile, social shopping and idea shopping did not significantly influence the purchase decisions of consumers at Starbucks Coffee Trans Studio Mall Bandung. Based on the results of the research, there were several things to be considered by Starbucks, among others, Starbucks should add the existing products information knowledge, pay a good attention to the atmosphere of the coffee shop, Starbucks also needs to add promos and give discounts in order to stimulate and attract the value shoppers to shop at Starbucks, and Starbucks needs to sell products which can be used as the perfect gifts by the role.
A Sub linear, Massive scale Look alike Audience Extension System A Massive scale Look alike Audience Extension
Venue: BigMine

Look alike audience extension is a practically effective way to customize high performance audience in on line advertising. With look alike audience extension system, any advertiser can easily generate a set of customized audience by just providing a list of existing customers without knowing the detailed targetable attributes in a sophisticated advertising system. In this paper, we present our newly developed graph based look alike system in Yahoo! advertising platform which provides look alike audiences for thousands of campaigns. Extensive experiments have been conducted to compare our look alike model with three other existing look alike systems using billions of users and millions of user features. The experiment results show that our developed graph based method with nearest neighbor filtering outperforms other methods by more than 50% regarding conversion rate in app install ad campaigns.
Informing Extension Program Development through Audience Segmentation: Targeting High Water Users.

Human reliance on water has led to water issues globally. Although extension professionals have made efforts successfully to educate the general public about water conservation to enhance water resource sustainability, difficulty has been found in reaching high water users, defined as residents irrigating excessively to their landscape irrigation needs without awareness of the environmental impacts. This study sought to identify differences in water conservation behavior engagement between the general public and high water users to facilitate the development of extension programs targeting high water users. Florida residents (N 516) and high water users in Florida (N 512) were surveyed for this descriptive and comparative study. Respondents were asked to indicate their current engagement in water use behavior, water conservation strategies, and the likelihood of engaging in water conservation and related societal behaviors. Compared to the general public, high water users reported a higher frequency of engagement in water use behaviors, and were less likely to engage in water conservation and related societal behaviors. Based on the findings it is recommended that extension professionals segment the high water users from the general public as a specific clientele and develop educational programs relevant to their specific needs and behavioral patterns.
Subjective intensity: Behavioral laws, numerical representations, and behavioral predictions in Luce's model of global psychophysics

This article summarizes the theoretical work of R. Duncan Luce towards a unified psychophysical theory of the percepts of all intensive domains. Also summarized are the empirical evaluations of it carried out to date. The theory is a comprehensive application of axiomatic measurement theory. The approach, mimicking classical static physics, is based on behavioral and testable axiomatic invariances that imply a numerical representation (a measurement scale) and its properties. The empirical work involves interpreting the primitives of the theory in a domain and then evaluating the behavioral properties. If supported, the representations follow from the properties, forming a descriptive model for that domain. The theory differs in some details depending on whether percepts involve an interplay between two sensors (2 D) (e.g. two eyes/ears) or just one (1 D) The theory has been substantially evaluated and supported in the 2 D domains of loudness, brightness, and perceived contrast. Empirical work for 1 D domains is less complete. Novel inferences and predictions flow from the theory and several of these, along with empirical work, are summarized.
Mechanical design of an affordable adaptive gravity balanced orthosis for upper limb stroke rehabilitation

In this paper, a novel design of a non powered orthosis for upper limb stroke rehabilitation is reported. Its design exploits the gravity balancing theory. Designed for home based use, it is the first affordable, passive design to incorporate an assistive level that can be adaptively varied within a closed loop control scheme. This allows the device to be integrated with a dual robotic and electrical stimulation control scheme, to thereby enable full exploitation of the motor relearning principles which underpin both robotic therapy and Functional Electrical Stimulation (FES) based stroke rehabilitation. This embeds the potential for more effective treatment. The article focuses on the mechanical design of the non powered orthosis, providing detailed design, dynamic analysis and evaluation.
Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer
Venue: Healthcare informatics research

Breast cancer has a high rate of recurrence, resulting in the need for aggressive treatment and close follow up. However, previously established classification guidelines, based on expert panels or regression models, are controversial. Prediction models based on machine learning show excellent performance, but they are not widely used because they cannot explain their decisions and cannot be presented on paper in the way that knowledge is customarily represented in the clinical world. The principal objective of this study was to develop a nomogram based on a naive Bayesian model for the prediction of breast cancer recurrence within 5 years after breast cancer surgery.  The nomogram can provide a visual explanation of the predicted probabilities on a sheet of paper. We used a data set from a Korean tertiary teaching hospital of 679 patients who had undergone breast cancer surgery between 1994 and 2002. Seven prognostic factors were selected as independent variables for the model.  The accuracy was 80% and the area under the receiver operating characteristics curve (AUC) of the model was 0.81.  The nomogram can be easily used in daily practice to aid physicians and patients in making appropriate treatment decisions after breast cancer surgery.
Outstanding surface plasmon resonance performance enabled by templated oxide gratings.
Venue: Physical chemistry chemical physics PCCP

Here we report a simple and scalable soft lithography based templating technology for fabricating Au covered oxide (titania and zirconia) gratings by using DVDs as a structural template. The resulting plasmonic gratings simultaneously exhibit very high surface plasmon resonance (SPR) sensitivity (up to ~940 nm per refractive index unit, nm per RIU) and figure of merit (FOM, up to 62.5) The effects of thermal annealing of the templated oxide gratings on their final plasmonic properties have been systematically investigated by both experiments and finite difference time domain (FDTD) simulations. Higher SPR sensitivities and slightly reduced FOMs have been observed for the annealed gratings. Additionally, the amplitude of the SPR dips gradually decreases with increasing annealing temperatures. Scanning electron microscopy and X ray diffraction show that the annealing process enlarges the crystal domain sizes of the oxides and smoothens the final plasmonic grating surface. Systematic FDTD simulations reveal that the SPR properties (e.g. dip amplitude) of Au covered oxide gratings are significantly affected by the deformation of the track pitch structure caused by thermal annealing, agreeing with the experimental results. The outstanding SPR performance combined with the high thermal stability of the crystalline oxides could make the templated plasmonic gratings a promising SPR platform for many important sensing applications, such as in situ probing heterogeneous catalytic reactions under realistic conditions.
Surface Plasmon Resonance Based Sensing of Aqueous Solutions Using Spectral Interferometry

Lunaceka,b, P. Hlubina, D. Ciprian, M. Duliakova and M. Lunackova Department of Physics, VSB Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava Poruba, Czech Republic Regional Materials Science and Technology Centre, VSB Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava Poruba, Czech Republic Department of Mathematics and Descriptive Geometry, VSB Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava Poruba, Czech Republic
Thirteen Things You Need to Know about Neoliberalism. FESSUD Working Paper Series; No. 155

This Deliverable examines the theories and practices of neoliberalism drawing upon five case studies of housing and water across Poland, Portugal, South Africa, Turkey and the United Kingdom. This examination ranges across thirteen aspects of 'things you need to know about' neoliberalism. They include the argument that neoliberalism is not reducible to a cogent ideology or a change in economic or social policies, nor is it primarily about a shift in the relationship between the state and the market or between workers and capital in general, or finance in particular. Instead, neoliberalism is a stage in the development of capitalism underpinned by financialisation. Neoliberalism is highly diversified in its features, impact and outcomes, reflecting specific combinations of scholarship, ideology, policy and practice. In turn, these are attached to distinctive material cultures giving rise to the (variegated) neoliberalisation of everyday life and, at a further remove, to specific modalities of economic growth, volatility and crisis. Finally, this Deliverable argues that there are alternatives, both within and beyond neoliberalism itself.
13 Things you need to know about neoliberalism political economy

This is an edited abridgement from Financialisation, Economy, Society and Sustainable Development (FESSUD) an extensive EU funded research programme. Its findings are based on case studies that examined the systems of provision (SoPs) for water and housing in five selected locations: UK, Poland, Portugal, South Africa and Turkey. This paper focuses on the nature and impact of neoliberalism in these sectors and more broadly.