nils-herrmann/clean_scirepeval huggingface dataset:
Animal Model of Asthma, Various Methods and Measured Parameters: A Methodological Review.
Venue: Iranian journal of allergy, asthma, and immunology

Asthma is a chronic inflammatory disease of the airway with extensive airway remodeling. The ethical issues associated with the studies in asthmatic patients, required development of animal model of asthma. Animal models of asthma can provide valuable information on several features of asthma pathogenesis and treatment. Although these models cannot carry out all clinical features, they are valuable to understand mechanisms of the disease and curative access. Related articles were searched in different databases from September 1994 to April 2016 using; animal model of asthma, animal sensitization, allergen induced asthma in animals terms. Although there are several reviews on this topic, in the present article, induction of animal model of asthma in different animals, various methods used for this purpose, measured parameters and research purposes were reviewed, which will help investigators to use the appropriate animal, methods, and evaluating parameters depending on their study design. In this study various method used for induction of animal model of asthma in different animals and measured parameters were described, which will help investigators to use the appropriate animal, method and evaluating parameters depending on their study design.
Motor Skill Competence and Physical Activity in Preschoolers: A Review
Venue: Maternal and Child Health Journal

Preschoolers 3 5 years of age are in a crucial stage of motor skill competence. While preschoolers develop their motor skill competence through engagement in physical activity, a majority of them fail to meet guideline recommended physical activity level. This study reviews scientific evidence on the relationship between motor skill competence and physical activity among preschoolers.  This systematic review followed the PRISMA framework. Keyword and reference search were conducted in PubMed, Cochrane Library, PsycINFO, Web of Science, and Google Scholar. Inclusion criteria included age: 3 5 years of age; setting: preschool environment (e.g. preschool, childcare, head start) main outcomes: motor skill competence and physical activity; study design: cross sectional study, case control study, retrospective cohort study, prospective cohort study, or randomized controlled trial; language: English; and article type: peer reviewed publication.  Eleven studies met the inclusion criteria, including 6 randomized controlled trials and 5 cross sectional studies. Studies were conducted in 5 countries: United States (5) United Kingdom (2) Australia (2) Switzerland (1) and Finland (1) Eight out of the 11 studies included in the review reported a significant relationship between motor skill competence and physical activity. The specific pattern and strength of the relationship tend to differ by gender, physical activity intensity, motor skill type, and day of the week (weekdays versus weekends)  An association has been consistently documented between motor skill competence and physical activity. Future research is warranted to elucidate the underlining causal link, examine potential heterogeneity, and determine the role of environment in the relationship between motor skill competence and physical activity among preschoolers.
Using a gesture interactive game based learning approach to improve preschool children's learning performance and motor skills
Venue: Comput. Educ.

Children love to play games, and early childhood is a critical time for developing motor skills. This study combined gesture based computing technology and a game based learning model to develop a gesture interactive game based learning (GIGL) approach that was suitable for preschool children. In this research, the ASUS Xtion PRO was used as a game based device to build a virtual interactive learning environment for preschoolers. The aim of this study was to implement the GIGL approach to improve the learning performance and motor skills (namely, coordination and agility) of the participants. Based on a quasi experiment involving 105 preschoolers (average age 5.5 years) the results showed that the participants who used the GIGL approach demonstrated better learning performance and motor skills than those who used the traditional activity game based learning approach, and the statistics showed a significant deviation between the two approaches. Thus, this study provides additional evidence that using a GIGL approach is an effective learning method that improves both learning performance and motor skills to a greater extent compared with the traditional activity game based learning approach. This study developed a gesture interactive game based learning approach.It combined gesture based computing technology and game based learning model.A quasi experiment with 105 preschoolers (average age 5.5 years) was conducted.Learning performance and motor skills (coordination and agility) were evaluated.This approach improved both learning performance and motor skills.
Relations among motor, social, and cognitive skills in pre kindergarten children with developmental disabilities.
Venue: Research in developmental disabilities

Despite the comorbidity between motor difficulties and certain disabilities, limited research has examined links between early motor, cognitive, and social skills in preschool aged children with developmental disabilities. The present study examined the relative contributions of gross motor and fine motor skills to the prediction of improvements in children's cognitive and social skills among 2,027 pre kindergarten children with developmental disabilities, including specific learning disorder, speech/language impairment, intellectual disability, and autism spectrum disorder. Results indicated that for pre kindergarten children with developmental disabilities, fine motor skills, but not gross motor skills, were predictive of improvements in cognitive and social skills, even after controlling for demographic information and initial skill levels. Moreover, depending on the type of developmental disability, the pattern of prediction of gross motor and fine motor skills to improvements in children's cognitive and social skills differed. Implications are discussed.
How Are Motor Skills Linked to Children's School Performance and Academic Achievement?

Children need a range of skills to transition successfully to formal schooling. In early childhood classrooms, children must master their fine and gross motor skills. In this article, we review the evidence that links motor skills to diverse school outcomes, then describe three sets of cognitive processes motor coordination, executive function, and visuospatial skills that are tapped by motor assessments. We then use these processes to explain how motor skills are implicated in children's self regulation and their emergent literacy and numeracy. We conclude by encouraging theoretical and methodological approaches to clarify the mechanisms that implicate motor skills in school performance and achievement.
Compulsory voting, encouraged tweeting? Australian elections and social media

This chapter examines patterns in social media activity around Australian elections, focusing primarily on the 2013 federal election and supplemented by extended research into social media and Australian politics between 2007 and 2015. The coverage of Australian elections on social media is analysed from three perspectives: the evolution of the use of online platforms during elections; politician and party social media strategies during the 2013 election, focusing on Twitter; and citizen engagement with elections as demonstrated through election day tweeting practices. The specific context of Australian politics, where voting is compulsory, and the popularity of social media platforms like Twitter makes this case notably different from other Western democracies. It also demonstrates the extended mediation of politics through social media, for politicians and citizens alike.
Magging: Maximin Aggregation for Inhomogeneous Large Scale Data
Venue: Proceedings of the IEEE

Large scale data analysis poses both statistical and computational problems which need to be addressed simultaneously. A solution is often straightforward if the data are homogeneous: one can use classical ideas of subsampling and mean aggregation to get a computationally efficient solution with acceptable statistical accuracy, where the aggregation step simply averages the results obtained on distinct subsets of the data. However, if the data exhibit inhomogeneities (and typically they do) the same approach will be inadequate, as it will be unduly influenced by effects that are not persistent across all the data due to, for example, outliers or time varying effects. We show that a tweak to the aggregation step can produce an estimator of effects which are common to all data, and hence interesting for interpretation and often leading to better prediction than pooled effects.
A comprehensive digital forensic investigation process model
Venue: Int. J. Electron. Secur. Digit. Forensics

A formal process model is needed to enable digital forensic practitioners in following a uniform approach and to enable courts of law in determining the reliability of digital evidence presented to them. Such a model also needs to be generic in that it can be applicable in the different fields of digital forensics including law enforcement, corporates and incident response. There does not currently exist such a comprehensive process model that is both formal and generic. To address these shortcomings, this paper proposes a model that is formal in that it can enable the digital forensic practitioners in following a uniform approach when carrying out investigations and that is generic in that it can be applied in the different environments of digital forensics.
Review and Assessment of the Existing Digital Forensic Investigation Process Models

This review paper assesses the existing body of knowledge associated with digital forensic investigation process models. To this end, eleven of the existing models are critically reviewed and evaluated against an assessment criteria, namely the Daubert Test, to determine which models have taken the most scientific approach. This review and assessment reveal that the authors of these models have developed their models based on their own personal experience and on an ad hoc basis. The critical review and assessment also reveal that there does not exist a comprehensive model encompassing the entire digital investigative process that is formal in that it synthesizes, harmonizes and extends the previous models, and that is generic in that it can be applied in the different fields of law enforcement, commerce and incident response.
Role of Textile and Clothing Industries in the Growth and Development of Trade Business Strategies of Bangladesh in the Global Economy

Bangladesh has emerged as a key player in RMG (Ready Made garment) sector since 1978. Textiles Clothing account for about 85% of total export earnings of Bangladesh. Out of which 76% comes from the apparel sector which covers the major products of knit woven shirts, blouses, trousers, skirts, shorts, sweaters, sportswear's many more casual fashion items. The sector currently employs approximately 1.5 million workers, mostly females from underprivileged social classes. The pivotal factor in apparel industry is the workforce i.e. the operators, helpers, cutting masters, finishers etc. Bangladesh is endowed with abundant cheap workforce that is easily trainable convertible into semi skilled skilled workforce. Existence of such category is one of the advantages that Bangladesh will be enjoying over a considerable period in the context of international trade on clothing. To cope up with global challenge we must adopt with factors of technological advancement with proper working environment in textile apparel sector of the country. In my report i tried to illustrate about the prospect future of RMG sector in Bangladesh.
A Prunable Blockchain Consensus Protocol Based on Non Interactive Proofs of Past States Retrievability
Venue: ArXiv

Bitcoin is the first successful decentralized global digital cash system. Usefulness of the mining process requiring a lot of computational resources to be wasted, though, remains disputable. One of possible alternatives for useful Proof of Work schemes, Permacoin, is using non interactive proofs of a static dataset retrievability thus providing a mechanism to store a huge dataset being spread across miners collectively. In this paper we present a new consensus protocol for Bitcoin like peer to peer systems, where the right to generate a block is given to the party which provides non interactive proofs of retrievability for the past state snapshots. This Proof of Work scheme has better resistance to specialized hardware than Bitcoin and Permacoin. Unlike blockchain systems being used today, a network using the protocol of ours is safe if majority of nodes are rational in terms of storing full blocks. By using that we also show that one useful application of our protocol is the construction of a prunable blockchain system without a security loss.
Career success for women in higher education institution: The factors influencing the success of women academician

An academician is said to be successful when he or she has become a professor, the highest level in the academic ladder. In other word, professor is deemed as successful as they have already established themselves in their area of specialisation. Career success can be also be classified into objective career success and subjective career success. The purpose of this research is to investigate the factors that influence the career success among women in the higher education institution in Malaysia by using individual, structural and behavioural approach. Specifically, the study focuses on University Teknologi Mara (UiTM) one of the largest Malaysian universities. Self esteem, an individual factor and career success is found to be significantly related to each other in this research. A person who has a high self esteem is more motivated and thus more likely to be committed in their career. Besides this, the person organisation fit in structural approach is positively related with career success. This is because the chemistry between organisation and employee is very important in order for the employee to fully apply their values in the organisation. Apart from this, perceived organisational support, a structural factor is found to affect career success. For the employee to achieve success, organisation should show their supportiveness to employee in an effort to motivate them to work. Hence, the factors identified using individual, structural and behavioural approach could become a set of strategies in enhancing the effectiveness and career success among the female academician in the field of academic.
The Parable of the Talents

On its surface, Jesus' Parable of the Talents is a simple story with four key plot elements: (1) A master is leaving on a long trip and entrusts substantial assets to three servants to manage during his absence. (2) Two of the servants invested the assets profitably, earning substantial returns, but a third servant frightened of his master's reputation as a hard taskmaster put the money away for safekeeping and failed even to earn interest on it. (3) The master returns and demands an accounting from the servants. (4) The two servants who invested wisely were rewarded, but the servant who failed to do so is punished. Neither the master nor any of the servants make any appeal to legal standards, but it seems improbable that there was no background set of rules against which the story plays out. To the legal mind, the Parable thus raises some interesting questions: What was the relationship between the master and the servant? What were the servants' duties? How do the likely answers to those questions map to modern relations, such as those of principal and agent? Curiously, however, there are almost no detailed analyses of these questions in Anglo American legal scholarship. This project seeks to fill that gap.
An Integrated Expert User with End User in Technology Acceptance Model for Actual Evaluation
Venue: Comput. Inf. Sci.

Effective evaluation is necessary in order to ensure systems adequately meet the requirements and information processing needs of the users and scope of the system. Technology acceptance model is one of the most popular and effective models for evaluation. A number of studies have proposed evaluation frameworks to aid in evaluation work. The end users for evaluation the acceptance of new technology or system have a lack of knowledge to examine and evaluate some features in the new technology/system. This will give a fake evaluation results of the new technology acceptance. This paper proposes a novel evaluation model to evaluate user acceptance of software and system technology by modifying the dimensions of the Technology Acceptance Model (TAM) and added additional success dimensions for expert users. The proposed model has been validated by an empirical study based on a questionnaire. The results indicated that the expert users have a strong significant influence to help in evaluation and pay attention to some features that end users have lack of knowledge to evaluate it.
How Transferable Are CNN Based Features for Age and Gender Classification?
Venue: 2016 International Conference of the Biometrics Special Interest Group (BIOSIG)

Age and gender are complementary soft biometric traits for face recognition. Successful estimation of age and gender from facial images taken under real world conditions can contribute improving the identification results in the wild. In this study, in order to achieve robust age and gender classification in the wild, we have benefited from Deep Convolutional Neural Networks based representation. We have explored transferability of existing deep convolutional neural network (CNN) models for age and gender classification. The generic AlexNet like architecture and domain specific VGG Face CNN model are employed and fine tuned with the Adience dataset prepared for age and gender classification in uncontrolled environments. In addition, task specific GilNet CNN model has also been utilized and used as a baseline method in order to compare with transferred models. Experimental results show that both transferred deep CNN models outperform the GilNet CNN model, which is the state of the art age and gender classification approach on the Adience dataset, by an absolute increase of 7% and 4.5% in accuracy, respectively. This outcome indicates that transferring a deep CNN model can provide better classification performance than a task specific CNN model, which has a limited number of layers and trained from scratch using a limited amount of data as in the case of GilNet. Domain specific VGG Face CNN model has been found to be more useful and provided better performance for both age and gender classification tasks, when compared with generic AlexNet like model, which shows that transfering from a closer domain is more useful.
Vacancy induced mechanical stabilization of cubic tungsten nitride

Karthik Balasubramanian,1 Sanjay Khare,2 and Daniel Gall3 1Department of Mechanical, Nuclear and Aerospace Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180, USA 2Department of Physics and Astronomy, The University of Toledo, 2801 West Bancroft Street, Toledo, Ohio 43606, USA 3Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180, USA (Received 27 July 2016; revised manuscript received 7 October 2016;
The Future of Fiber Optic Communications Observations from OFC 16

Anyone reading Fiber and Integrated Optics has a story about the history of optical communications. Mine started the 1970s. At the time, I worked with Honeywell's Systems and Research Center. In a brilliant move, we teamed with Bob Biard of Spectronics to make a 10 Mb/s fiber optic link. He was an inventor of the LED and handled the optoelectronics side of our project. He brought some interesting innovations to the link design. The one I remember was the key for good coupling of light from the 3.6 refractive index GaAs mesa structure to a multi mode fiber. Bob managed it with some index 2.0 glass spheres that he picked up from the highway crew; they used them to make road markings retroreflective. Soon, Honeywell bought Bob's company. Ten years ago Honeywell sold his verticalcavity surface emitting laser (VCSEL) group to Finisar one of the stars of the Optical Fiber Communications (OFC) Conference last month in Anaheim. The OFC Conference had 1,160 peer reviewed papers, 580 exhibitors, and 13,000 attendees; there were many activities. The future of fiber optic communications at OFC can be understood from the photo in Figure 1. This is the data center summit, the big story of OFC 16. Most of the papers at OFC were typical academic presentations in rooms that seated a few dozen. Not this one. The focus of the energy this year was fiber communications for data centers. The excitement of fiber optic data center systems began a day before in Prof. Clint Schow's short course "Photonic technologies in the datacenter," OFC 2016 Short Course 431) He chronicled how we got here with obvious Internet growth (http:/www.intel.com/ content/www/us/en/communications/internet minute infographic.html) and the transition from telecom fiber applications (high reliability) to internal data center fibers (low cost) Current data traffic is 73% within the data center (http:/www.cisco.com/c/dam/ assets/sol/sp/gci/global cloud index infographic.html) Advantages for links within the data center are <100 m distances, short hardware lifetimes, and lots of redundancy. Costs for links are decreasing toward $1/Gb/s. Schow described the tradeoffs in optical transmitters and receivers. Current products, such as Quad Small Form Factor Pluggable Transceivers QSFP28 products, can support a single 100 Gb/s link or four 25 Gb/s links. More complex systems can use multi level signaling, for example PAM 4, in a paper from Finisar (Matsui, Y. Pham, T. Sudo, T. Carey, G. Young, B. and Roxlo, C. "112 Gb/sWDM