nils-herrmann/clean_scirepeval huggingface dataset:
An Invitation to the Less Treaded Path of Autoethnography in TESOL Research
Year: 2018

Although alternative perspectives continue to be part of TESOL research methodology, there are approaches to social science inquiry that are still not widely known to researchers in the field. More specifically, it may be argued that language education research needs further qualitative approaches that can interweave research and life, language and context, and self and society in processes of inquiry. Therefore, in this article the author invites the academic community of TESOL to consider autoethnography as a qualitative research approach with significant potential for research on issues of language teaching and learning. Based on a discussion of the theoretical and methodological perspectives of autoethnographic inquiry, he argues that, by bringing the self and society together, such an approach can contribute to the ongoing endeavor for deepening the epistemological understanding and widening the methodological scope of research in the field.
Linking practice to theory the importance of contextually based education embedded for better physical education and value based sports
Year: 2014

Physical education is the process through which sport, outdoor education, dance, gymnastics, aquatics and games are used by physical educators to teach students motor skills and fitness skills as well as assisting with the 's responsibility to develop personal and social skills in students. Sport literacy has two principles for sport teaching: Sport in physical education can enhance students' access to practices and ideas that can enable them to make a positive contribution to society; and sport helps students to understand the self and the society in which they live. The role of physical education in promoting sport participation in and beyond is linked with the development of skills and understandings enabling the functional use of sport knowledge within active and engaged citizenship The challenge is a complex one that requires more holistic and multidisciplinary thinking to address the problem. Health, leisure and physical education professionals worldwide have a key role to play in formulating strategies to address this problem. There is a need to employ new forms of pedagogy, integrate health and physical education programs in a more effective fashion, and support the development of healthy active lifestyles, explore ways to employ technology in the teaching of physical education, link based activities to informal community programs and review the way in which physical education teachers are prepared. Second process is already for decades inherent as adoption of sport as industry in all life pores, and with specific and sometimes unacceptable ways of reflection on Physical Education as well as on its role. Furthermore, relations of Physical Education with medical postulates shows some kind of divergent degree that slowly establishes as inevitably cooperation with mutual benefits.
Mariategui y el futurismo italiano.
Year: 2007

Peru conto con el privilegio de poseer un promotor cultural como Jose Carlos Mariategui que jugo un papel fundamental en la promocion y difusion de las vanguardias europeas que puedo conocer de primera mano durante su estancia europea (1920 1923) En el presente estudio se aborda brevemente la recepcion de las doctrinas del futurismo literario en Peru y se analizan los varios articulos que el pensador peruano dedico a la vanguardia italiana desde la tribuna de los principales periodicos y revistas de la epoca.
The credibility of CSR (corporate social responsibility) reports in Europe. Evidence from a quantitative content analysis in 11 countries
Year: 2016

When it comes to corporate social responsibility (CSR) reports, skepticism and mistrust toward companies often prevail among both stakeholders and scholars. However, the overall content quality of CSR reports has only sparsely evoked researchers' attention. Therefore, this paper focuses on the credibility of CSR reports, based on both human and software enhanced quantitative content analysis of 237 CSR reports from 11 European countries. Credibility is conceptualized as a multilayered construct along CSR and communication theories, filling the theory void in the field. The influence of contextual (e.g. industry) format, and firm level (e.g. size) factors on reporting credibility is also investigated. The results show that European CSR reports do not score high on credibility, leaving much room for improvement. The study finds that it is standardization and content that matter most for reporting credibility; external influences are secondary, at best. To be considered credible, CSR reports must first be understandable to their readers; in addition, credibility involves truth, sincerity, and stakeholder specificity. Voluntary standardization affects CSR reporting credibility positively, whereas regulation does not yet have the same positive effect. Based on the empirical results of the content analysis, we present a new two phase model of reporting credibility. For practice, we suggest that companies focus on the contents of their reports to render them more credible. To raise credibility levels consistently, policy makers can create a level playing field in CSR reporting regulation, as already initiated by several countries.
A Bistable Counterchange Detector for the Perception of Third Order Motion
Year: 2011

Hock, Krogan, Espinoza (1997) Dynamic, state dependent thresholds for the perception of singleelement apparent motion: Bistability from local cooperativity. Perception Psychophysics, 59, 10771088. Hock, Nichols, Espinoza (2004) When motion is not perceived: Evidence from adaptation and dynamical stability. Spatial Vision, 17, 235 248. Hock, Schoner, Gilroy (2009) A counterchange mechanism for the perception of motion. Acta Psychologica, 132, 1 21. Lu Sperling (1995) The functional architecture of human visual motion perception.  Research, 35, 2697 2722 Generalized Apparent Motion
"I am Still Learning" Modeling LMS Critical Success Factors for Promoting Students' Experience and Satisfaction in a Blended Learning Environment
Venue: IEEE Access
Year: 2018

Blended learning has been growing in demand and popularity and has become a common phenomenon in modern higher education systems, especially with the implementation of learning management system (LMS) This paper examined the effects of critical success factors on students' experience and satisfaction with the LMS in a blended learning setting. Certain characteristics of students, instructors, system, classmates, course design, and organization were identified from the literature as the main indicators of the LMS success. A total of 174 university students (94 males and 80 females) responded to an online questionnaire. A partial least square (PLS) approach was used for data analysis. The result showed that certain factors were found to influence students' perceived ease of use and usefulness of LMS and consequently their satisfaction. Findings from this paper provide the necessary insights as to how universities can enhance students' experiences and satisfaction of LMS in order to support the blended learning approach.
A critical review on visible light response CeO2 based photocatalysts with enhanced photooxidation of organic pollutants
Venue: Catalysis Today
Year: 2019

Organic pollutants' treatment in wastewater has attracted extensive attention due to its degradation resistance and potentially hazardous to human health. Some organic matters such as persistent organic pollutants (POPs) could exist in environment and resist to decomposition, which may cause chronic intoxication or even cancers. Because photocatalytic technique is efficient, nontoxic, and cost effective to degrade organic pollutants, some semiconductors including TiO2 and ZnO as photocatalysts have aroused wide public concern. CeO2 has been reported as an efficient photocatalyst in contrast to TiO2 owing to its high oxygen storage, eco friendly properties and photostability. But inefficient utilization of solar energy due to its intrinsic wide bandgap restrains its further application in real environmental pollutant treatment. In order to improve photocatalytic performances of CeO2, some modifications have been developed such as doping ions, coupling with semiconductor and construction of CeO2 based solid solution. The purpose of this review is to introduce these techniques, reveals its fundamental mechanisms and the recent researches about photodegradation of organic pollutants in wastewater over CeO2 based photocatalysts. Besides, this review will evaluate the photocatalytic performance for organic pollutants and outlook the challenges and prospects in the future.
Impact of the Dapivirine Vaginal Ring on Sexual Experiences and Intimate Partnerships of Women in an HIV Prevention Clinical Trial: Managing Ring Detection and Hot Sex
Venue: AIDS and Behavior
Year: 2017

Vaginally inserted HIV prevention methods have been reported to impact the sexual experience for women and their partners, and hence impacts acceptability of and adherence to the method. We analyzed in depth interviews and focus group discussions about participants' sexual experiences while wearing the ring, collected during the MTN 020/ASPIRE phase 3 safety and effectiveness trial of a dapivirine vaginal ring for HIV prevention in Malawi, South Africa, Uganda, and Zimbabwe. Most women reported that partners did not feel the ring during sex, however, women felt they had to manage their partners' interaction with or reaction to the ring. In maintaining positive relationships, women were concerned about partners' discovering ring use and about ensuring that partners had a good sexual experience with them. Finally women were concerned about how they themselves experienced sex with the ring. Some found that the ring made the vaginal environment more desirable for their partners and themselves.
Python Machine Learning Sebastian Rashka
Year: 2016

Sat, 08 Dec 2018 08:57:00 GMT python machine learning sebastian raschka pdf Python Machine Learning: Machine Learning and Deep Learning with Python, scikit learn, and TensorFlow, 2nd Edition [Sebastian Raschka, Vahid Mirjalili] on Amazon.com Mon, 23 Jul 2018 18:21:00 GMT Python Machine Learning: Machine Learning and Deep Python Machine Learning: Machine Learning and Deep Learning with Python, scikit learn, and TensorFlow, 2nd Edition Kindle edition by Sebastian Raschka, Vahid Mirjalili. Tue, 18 Aug 2015 23:52:00 GMT Python Machine Learning amazon.com Sebastian Raschka, author of the bestselling book, Python Machine Learning, has many years of experience with coding in Python, and he has given several seminars on Mon, 03 Jul 2017 14:45:00 GMT Python Machine Learning Second Edition PACKT Books Has this happened to you? You are working on your dataset. You create a classification model and get 90% accuracy immediately. aEURoeFantasticaEUR* you think. Mon, 10 Dec 2018 08:26:00 GMT 8 Tactics to Combat Imbalanced Classes in Your Machine There are many data analysis tools available to the python analyst and it can be challenging to know which ones to use in a particular situation. A useful (but Sat, 08 Dec 2018 21:14:00 GMT Introduction to Market Basket Analysis in Python 2012e. i ,oe i+ e! i+ eOEEURi*TMi* i*OEe %0iS$ i*!e|!i oee OEiS$?i,?edegEUR e"?e3 e, i 'i*OEe %0iS$?e,(Alexnet)'i*EUR e degi! i* ideg edegEURiz*e"?i* i ,e2(c)i*oe Sun, 02 Dec 2018 16:35:00 GMT NLPeY=1/4 ioe,,i*oe e"Y=eY!e< edegEURi* e"oe A* The Missing Papers Advance Notices (years a%0Y= 2018) and, at page bottom, Related Works: Bengfort Benjamin, Bilbro Rebecca, Ojeda Tony, Applied Text Analysis with Python: Fri, 07 Dec 2018 07:46:00 GMT Books about Programming and Software ebyte.it cena 68.79 Sharing Big Data Safely. Managing Data Security, ISBN 9781491953631, Ted Dunning, Ellen Friedman, Many big data driven companies today are moving to Sharing Big Data Safely. Managing Data Security (ebook aeZC/ae$?oe! Python Flask Robert Picard, ae? e++Z a* (e 3) BareMetala*SSe*Sa*P Raspberry Pi eY=?aedeg a?Sae a*aa,<a*>a*(c)Unixaf afa, >a,1 aEUR* Rubya*SSa|a*PUnixa*(r)aYoc ?Z e*"aooa++oc%0^a1/4s tatsu zine.com
Maturity assessment of social customer knowledge management (SCKM) using fuzzy expert system
Year: 2018

Organizations which provide electronic services do not have a logically structured strategy for implementing Customer Knowledge Management through Social media (SCKM) By assessing the position of SCKM, organizations can have a clear understanding of their maturity level and find their future investment interests. This research examined the maturity assessment of SCKM utilizing a fuzzy expert system. It consisted of a four stage procedure. The maturity model is based on 11 critical success factors, including strategy, leadership, information technology, knowledge management, culture, process, resources, business intelligence, security, social customer, and assessment. Results showed that the studied organization has covered 48.2% of maturity on the first level and 51.8% on the second level. Thus, to increase productivity, it is indispensable for organizations to act in a targeted way. The fuzzy expert system is not designed specifically for a case study, but can be utilized as a reference for in depth analysis of the organizational readiness for SCKM implementation and development within organizations, which provide e services applications.
Leveraging Sustainable Irrigated Agriculture via Desalination: Evidence from a Macro Data Case Study in Israel
Year: 2018

Israel has been a global frontrunner in (a) irrigation water application efficiency; (b) utilization of non conventional (recycled and brackish) water supplies containing salts for irrigation; and recently (c) large scale seawater desalination to provide water. Irrigation with water high in salts in many dry regions has been shown to be non sustainable, mostly due to contamination of soils, subsoils, and groundwater resulting from the application and leaching of salts. We hypothesized that the move to desalination would reverse prior problematic trends of salinization and provide a path to sustainable irrigated agriculture in Israel and similar environments. To investigate effects of desalination in Israel on the status of salinity trends, we evaluated citrus leaf sodium, chloride, and magnesium in the years since the onset of large scale national desalination in 2008 and examined fresh produce in the country for sodium and magnesium. We found remarkable reversal of previous trends until 2006, when salinity was found to rise consistently, in the recent data showing decreases of 20, 34, and 30% for Na, Cl, and Mg, respectively. A tendency for Israeli produce to be high in concentrations of salts compared to international standards was also reversed following large scale desalination. Sodium in Israeli fresh produce is no longer much higher than that expected in equivalent sources in the USA while magnesium is lower in Israel fruits and vegetables compared to USDA standards. We present these results and trends to support the argument that desalination can allow and promote sustainable irrigated agriculture in the world's dry areas.
A study on Ethnography of communication: A discourse analysis with Hymes speaking model
Year: 2011

Ethnography of communication relates ethnography, the description and structural functional analysis of society and culture, with the language a cultural behaviour that navigates and helps to share knowledge, arts, morals, beliefs and everything acquired by man as a member of society. Ethnography of communication is an approach to understand society culture and its reconstruction of an ethnic group in particular and nation in general. To do it language, designed and structured by pattern of culture, acts as a communicative tool. Language carries and transmits social/cultural traits through generations. The role of speech behavior, one of the aspects of language, has always been significant in cultural anthropological research. Ethnography of Communication, the concept introduced by Del Hymes in late sixties, is an active action of human way of life. He and his associates constructed a model of Speaking model while tried to understand society and culture of an ethnic group through communication process. The present study intends to test Hymes Speaking Model in a set of homogenous speech community the academic folk of a department of the West Bengal State University, Barasat, West Bengal, India.  Ethnography, Communication, Language, Speaking model
Developing a model to predict the start of combustion in HCCI engine using ANN GA approach
Venue: Energy Conversion and Management
Year: 2019

The combustion process in Homogeneous Charge Compression Ignition Engines (HCCI) is one of the new methods of futuristic combustion technologies. Since there is no direct operator for the start of the combustion (SOC) of these engines, air fuel mixture properties at the moment of entering the combustion chamber, specifies the ignition timing. In HCCI engines, the ignition timing is the most crucial factor in determining other engine operating characteristics such as power output, pollution, and fuel consumption. To control SOC, there should be an accurate predictive model based on the entering air fuel mixture properties. The Artificial Neural Networks (ANN) approach can be considered as a solution with less computational costs than traditional physics based modeling. In this investigation, a multi input single output model was developed for predicting the SOC of the HCCI engine for a wide range of engine operation. Three popular architectures namely the Nonlinear Autoregressive Network with Exogenous Inputs (NARXNET) Multi Layer Perceptron (MLP) and Radial Basis Function (RBF) were used, for this purpose. The networks were trained using experimental data taken from a one cylinder Ricardo engine. The network architecture was optimized using a Genetic Algorithm (GA) method. By using GA, the proposed networks also have the optimum network structures, improved model predictive behaviors, and simulation costs of the learning process. After optimization, the regression ratio between the outputs of MLP and the corresponding experimental data was increased from 0.8965 to 0.96166. This value was improved from 0.7623 to 0.83991 for RBF. By using GA, the time needed to train the NARX was reduced from 3.12 s to 0.46 s. By comparing the model predictions with the experimental data, it was shown that the selected neural network architectures are powerful approaches for non linear modeling the SOC of the HCCI engine.
Numerical simulations of dipole sonic responses in a liquid filled trough with arc shaped section
Year: 2013

To test the running performance of a sonic logging tool, it is an effective way to place the tool in a water filled trough and record the sonic responses for an integrated check of the transducers in laboratory. Hence it is necessary to investigate the wave propagation in such a non symmetric structure. In this study, we present the numerical modeling results of dipole sonic responses in a trough with arc shaped section. A 3D cylindrical finite difference code as well as the irregular free surface conditions is implemented. It is revealed that the flexural mode in a trough is evidently slower than that in a cylindrical pipe with same sizes. The flexural velocity decreases with the increasing gap angle of the trough. Moreover, the trough structure shows strong elastic anisotropy. The in line responses (XX and YY) of the logging tool are difference in phases and amplitudes. The amplitudes of both cross line responses (XY and YX) which reflect the level of anisotropy, become greater as the gap angle increas.
An efficient and versatile approach for optical resolution of C2 symmetric axially chiral biaryl dials. Synthesis of enantiopure biaryl derived cyclic trans 1,2 diols.
Venue: Organic letters
Year: 2008

An efficient and practical method for optical resolution of axially chiral biaryl dials using enantiomeric tert butanesulfinamide as resolving agent was developed. The approach offers a very convenient and straightforward access to versatile enantiomerically pure C2 symmetric biaryl dials in good yields. With the obtained axially chiral dials, stereoselective synthesis of a series of cyclic trans 1,2 diols in optically pure form was investigated.
Tumor microenvironment responsive PEGylated heparin pyropheophorbide a nanoconjugates for photodynamic therapy.
Venue: Carbohydrate polymers
Year: 2021

To deliver photosensitizers with PEGylated heparin (HP) into tumor cells for photodynamic therapy, we prepared two polyethylene glycol (PEG) functionalized HP based polymers conjugated with pyropheophorbide a (Ppa) a non GSH responsive nanoagent (HP Ppa mPEG) with the mPEG moiety chemically attached to HP directly; and a GSH responsive nanoagent (HP Ppa SS mPEG) with the mPEG moiety conjugated to HP via a disulfide linkage. The Ppa functionalized HP without PEGylation (HP Ppa) was designed as another control. These amphiphilic polymers could aggregate into nanoparticles. Cellular uptake of three nanoparticles by 4T1 cells led to abundant production of reactive oxygen species after irradiation by a 660 nm laser, inducing cell apoptosis. HP Ppa SS mPEG was found to achieve the highest tumor accumulation, the longest retention time and the best penetration into tumor tissues, resulting in the highest in vivo anticancer efficacy with 94.3 tumor growth inhibition rate, suggesting that tumor microenvironment responsive PEGylated HP based nanomedicines may act as efficient anticancer agents.
Estimating a Preference Based Single Index Measuring the Quality of Life Impact of Self Management for Diabetes
Venue: Medical decision making an international journal of the Society for Medical Decision Making
Year: 2018

Self management is becoming increasingly important in diabetes but is neglected in conventional preference based measures. The objective of this paper was to generate health state utility values for a novel classification system measuring the quality of life impact of self management for diabetes, which can be used to generate quality adjusted life years (QALYs)  A large online survey was conducted using a discrete choice experiment (DCE) with duration as an additional attribute, on members of the UK general population (n 1,493) to elicit values for health (social limitations, mood, vitality, hypoglycaemia) and non health (stress, hassle, control, support) aspects of self management in diabetes. The data were modelled using a conditional fixed effects logit model and utility estimates were anchored on the one to zero (full health to dead) scale.  The model produced significant and consistent coefficients, with one logical inconsistency and 3 insignificant coefficients for the milder levels of some attributes. The anchored utilities ranged from 1 for the best state to 0.029 for the worst state (meaning worse than dead) defined by the classification system.  The results presented here can potentially be used to generate utility values capturing the day to day impact of interventions in diabetes on both health and self management. These utility values can potentially be used to generate QALYs for economic models of the cost effectiveness of interventions in diabetes.