Choice Of Categories Research Articles

Response to Robiou Du Pont Et Al on Climate Equity. Correspondence to Nature Climate Change

The recent article by Robiou du Pont et al makes counter-intuitive claims about the degree to which different countries’ pledged mitigation contributions under the Paris Agreement are “equitable”, i.e., whether they meet benchmarks associate with various equity approaches. The analysis is flawed however, in three ways, with a cascading and systematic bias against poorer and lower-emitting countries. Firstly, the methodology is heavily driven by “grandfathering” as an allocation approach, despite the absence of any ethical justification. Second, it omits “Responsibility” as a basis, without explanation, even though it is included in the set of categories (taken from the IPCC AR5) within which the authors claim to be working. And third, the IPCC raised several other ethical considerations not covered by the authors’ particular choice of categories. Each of these three analytical shortcomings biases the results in favor of the wealthier and higher-emitting countries.

Le voci τέλειος e καθαρός in BDAG e Louw-Nida alla luce delle iterazioni sinonimiche in Gc 1,4b.27

The rhetorical figure of synonymic iteration of epexegetic purpose provides a key for the interpretation of the adjectives τέλειος and καθαρός in Jas 1:4b, 27 and for determining their contextual meaning. This and the other meanings of the two words have been confirmed by the examination of all their occurrences in the New Testament, in the Septuagint and in a corpus of works belonging to the Judaic and Christian literature from the 3rd century BC to the 2nd century CE. Furthermore, the study of synonymic relations contributed to the identification of the main concepts expressed by τέλειος and καθαρός. The choice of semantic categories more suited to the description of the terms allowed the proposal of a new classification of their meanings. The comparison with the items' structure of τέλειος and καθαρός in the lexicons BDAG and Louw-Nida – items widely dependent on previous lexicons both for the texts mentioned and for the criteria adopted in the division of their paragraphs – has highlighted some shortcomings. Their revision is desirable, based on the re-examination of all the occurrences of the terms in the established literary corpus.

A study on role of Financial Advisor and Investor Behavior towards Mutual Fund Industry in India

It is very difficult to understand the behavior of the investor for Mutual Fund companies in India. To remain competitive in the market it is necessary to understand and to influence the behavior of the investor. Behavior of the investor is influenced by many factors like return, safety, liquidity, convenience etc. Investor selects the funds based on their information available to them and the future growth prospects. Investment in Mutual Fund products is not yet so familiar in Indian financial markets. So to make them aware about Mutual Fund investment and to make them motivated financial advisor plays an important role. They understand the financial need of the investor and suggest them the product which better fits to their need. The present study focuses on understanding impact of various factors on choice of different fund categories in Mutual Fund. The study will also analyze the role of financial advisor in influencing the behavior of the investor. From previous studies researcher has identified certain factors and constructed a questionnaire to analyze it. The data was collected from the respondents in Agra region and analyzed using Correlation Analysis, Analysis of Variance etc. The study will be helpful in identifying different factors and to understand the role of financial advisor in influencing the behavior of the individual investor. Study shows that Mutual Fund companies should provide constant training to their financial advisor and should launch various investor education programs.

Neurosexism and Neurofeminism

AbstractAs neuroscience has gained an increased ability to enchant the general public, it has become more and more common to appeal to it as an authority on a wide variety of questions about how humans do and should act. This is especially apparent with the question of gender roles. The term ‘neurosexism’ has been coined to describe the phenomenon of using neuroscientific practices and results to promote sexist conclusions; its feminist response is called ‘neurofeminism’. Here, our aim is to survey the phenomena of neurosexism and neurofeminism using a largely philosophical approach, incorporating concepts from the philosophy of mind, the philosophy of science, ethics, and feminist philosophy. First, we delineate how neuroscientific studies purporting to show sex brain differences may be prone to bias at a number of methodological levels – including the choice of categories to be studied, and the choice of tools for data gathering, analysis, and presentation. Then, we show how interpretations of such studies may wrongly assume the notion of ‘hard‐wiring’. Furthermore, lack of attention to distinctions within philosophy of mind may result in a mistaken supposition that brain differences lead to mental and/or psychological and/or behavioral ones. It is not difficult to see how these forms of neurosexism, leading to claims of ‘hard‐wired’ gender differences that map onto traditional and harmful gender stereotypes, raise ethical questions. We conclude by briefly considering one: are the harms caused by neurosexist studies and their interpretations outweighed by their potential benefits?

Prevalence odds ratio versus prevalence ratio: choice comes with consequences.

Odds ratio, risk ratio, and prevalence ratio are some of the measures of association which are often reported in research studies quantifying the relationship between an independent variable and the outcome of interest. There has been much debate on the issue of which measure is appropriate to report depending on the study design. However, the literature on selecting a particular category of the outcome to be modeled and/or change in reference group for categorical independent variables and the effect on statistical significance, although known, is scantly discussed nor published with examples. In this article, we provide an example of a cross-sectional study wherein prevalence ratio was chosen over (Prevalence) odds ratio and demonstrate the analytic implications of the choice of category to be modeled and choice of reference level for independent variables. Copyright © 2016 John Wiley & Sons, Ltd.

An intercultural analysis of the use of hedging by Chinese and Anglophone academic English writers

AbstractDue to the dominance of English as the international language of scientific communication, second language (L2) academic writers with different first languages (L1s) need to enhance their L2 pragmatic competence and make rhetorical and stylistic accommodations to publish their academic work in English-medium journals. Hedging strategies, among other things, are one of the important indicators of L2 pragmatic competence in academic writing. With Crompton’s taxonomy of hedges as the conceptual framework and by referring to the interview findings, we built two purpose-driven corpora and analysed the use of the hedging devices in the conclusion section of applied linguistics research articles written in English by Chinese and Anglophone scholars from intercultural perspectives. We attempted to answer an overarching question: “To what extent did the two groups of academic writers differ in hedging?” Results indicate that: 1) overall, Anglophone academic English writers used more hedges than their Chinese counterparts; 2) Chinese and Anglophone writers did not show statistically significant differences in the frequency of using most of the categories of hedges except for only one subcategory (namely, the “I/we+non-factive verb” structure); 3) both groups showed a similar pattern in the choice of various categories of hedges; 4) there were differences in linguistic expressions between the two groups in the use of hedging. These results are discussed in relation to intercultural rhetoric and L2 academic writer pragmatic competence.

Mixture models for ordinal responses to account for uncertainty of choice

In CUB models the uncertainty of choice is explicitly modelled as a Combination of discrete Uniform and shifted Binomial random variables. The basic concept to model the response as a mixture of a deliberate choice of a response category and an uncertainty component that is represented by a uniform distribution on the response categories is extended to a much wider class of models. The deliberate choice can in particular be determined by classical ordinal response models as the cumulative and adjacent categories model. Then one obtains the traditional and flexible models as special cases when the uncertainty component is irrelevant. It is shown that the effect of explanatory variables is underestimated if the uncertainty component is neglected in a cumulative type mixture model. Visualization tools for the effects of variables are proposed and the modelling strategies are evaluated by use of real data sets. It is demonstrated that the extended class of models frequently yields better fit than classical ordinal response models without an uncertainty component.

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

The availability of high-resolution remote sensing (HRRS) data has opened up the possibility for new interesting applications, such as per-pixel classification of individual objects in greater detail. This paper shows how a convolutional neural network (CNN) can be applied to multispectral orthoimagery and a digital surface model (DSM) of a small city for a full, fast and accurate per-pixel classification. The predicted low-level pixel classes are then used to improve the high-level segmentation. Various design choices of the CNN architecture are evaluated and analyzed. The investigated land area is fully manually labeled into five categories (vegetation, ground, roads, buildings and water), and the classification accuracy is compared to other per-pixel classification works on other land areas that have a similar choice of categories. The results of the full classification and segmentation on selected segments of the map show that CNNs are a viable tool for solving both the segmentation and object recognition task for remote sensing data.

Lifecycle impacts of ethanol production from spruce wood chips under high-gravity conditions.

BackgroundDevelopment of more sustainable biofuel production processes is ongoing, and technology to run these processes at a high dry matter content, also called high-gravity conditions, is one option. This paper presents the results of a life cycle assessment (LCA) of such a technology currently in development for the production of bio-ethanol from spruce wood chips.ResultsThe cradle-to-gate LCA used lab results from a set of 30 experiments (or process configurations) in which the main process variable was the detoxification strategy applied to the pretreated feedstock material. The results of the assessment show that a process configuration, in which washing of the pretreated slurry is the detoxification strategy, leads to the lowest environmental impact of the process. Enzyme production and use are the main contributors to the environmental impact in all process configurations, and strategies to significantly reduce this contribution are enzyme recycling and on-site enzyme production. Furthermore, a strong linear correlation between the ethanol yield of a configuration and its environmental impact is demonstrated, and the selected environmental impacts show a very strong cross-correlation (r^2>0.9 in all cases) which may be used to reduce the number of impact categories considered from four to one (in this case, global warming potential). Lastly, a comparison with results of an LCA of ethanol production under high-gravity conditions using wheat straw shows that the environmental performance does not significantly differ when using spruce wood chips. For this comparison, it is shown that eutrophication potential also needs to be considered due to the fertilizer use in wheat cultivation.ConclusionsThe LCA points out the environmental hotspots in the ethanol production process, and thus provides input to the further development of the high-gravity technology. Reducing the number of impact categories based only on cross-correlations should be done with caution. Knowledge of the analyzed system provides further input to the choice of impact categories.Electronic supplementary materialThe online version of this article (doi:10.1186/s13068-016-0468-3) contains supplementary material, which is available to authorized users.

System for forecasting energy consumption using the artificial neural network

The article considers the possibility of increasing the efficiency of the mining enterprise at the expense of correct choice of price categories and tariff for electricity. The efficiency of forecasting model of energy consumption by the rational choice of price categories is shown, a system for predicting energy consumption using artificial neural network is developed. The forecast error is 0.908 % with the architecture of the network type MLP (MLP 24-18-1)

DRUGS System Improving the Effects of Clinical Pathways: A Systematic Study.

The aim of the study is to assess the feasibility of Drugs Rational Usage Guideline System (DRUGS)-supported clinical pathway (CP) for breast carcinoma, cataract, inguinal hernia and 2-diabetes mellitus whether the application of such a system could improve work efficiency, medical safety, and decrease hospital cost. Four kinds of diseases which included 1773 cases (where 901 cases using paper-based clinical pathways and 872 cases using DRUGS-supported clinical pathways) were selected and their demographic and clinical data were collected. The evaluation criteria were length of stay, preoperative length of stay, hospital cost, antibiotics prescribed during hospitalization, unscheduled surgery, complications and prognosis. The median total LOS was 1 to 3 days shorter in the DRUGS-supported CP group as compared to the Paper-based CP group for all types (p < 0.05). Totel hospital cost decreased significantly in the DRUGS-supported CP group than that in Paper-based CP group. About antibiotics prescribed during hospitalization, there were no statistically differences in the time of initial dose of antibiotic and the duration of administration except the choice of antibiotic categories. The proportion of DRUGS-supported clinical pathway conditions where a broad-spectrum antibiotic was prescribed decreased from 63.6 to 34.5 % (p < 0.01) in the Paper-based group. While after the intervention, the differences were statistically not significant in unscheduled surgery, complications and prognosis. In this study, DRUGS-supported clinical pathway for breast carcinoma, cataract, inguinal hernia, 2-diabetes mellitus was smoothly shifted from a paper-based to an electronic system, and confer benefits at the hospital level.

Non-parametric decomposition and the choice of reference group

Purpose – The Ñopo (2008) method of non-parametric decomposition, a matching-based alternative to Oaxaca (1973) and Blinder’s (1973) method of wage gap decomposition, is subject to the so-called “index number problem” common to the Oaxaca-Blinder and many related methods: its results are sensitive to the (arbitrary) choice of either male or female sex as the reference category in decomposition. The purpose of this paper is to address this issue by proposing an extension to the method that is invariant to the choice of reference category. Design/methodology/approach – The Ñopo method is modified such that the wage structure of the average worker instead of either male or female worker’s is used as the reference, enabling one to distinguish the “male advantage” and “female advantage” portions of the gender wage gap. As an illustration, a decomposition of the gender wage gap is performed with the modified method, using data from 15 OECD countries. Findings – The empirical results using the Ñopo decomposition indicate substantial differences in estimates of the unexplained gap depending on which sex is used as the reference category. Moreover, this disparity varies significantly with the choice of covariates used in the decomposition. This confirms there is significant cross-country variation in the asymmetry between male advantage and female disadvantage and that a decomposition method making this explicit would be relevant in real world settings. Originality/value – The extension of the Ñopo method proposed in this paper offers a way of decomposing the wage gaps in a way that is not sensitive to the choice of the reference category.

Uncertainty analysis of the environmental sustainability of biofuels

Faced with a changing climate, bioenergy has been promoted as a sustainable resource. However, while it is a renewable energy source, biofuel cultivation comes with several environmental problems such as land use change and water consumption, the environmental impacts of which often counterbalance the reduced global warming potential compared to fossil alternatives. This paper presents life cycle assessment (LCA) results for greenhouse gas (GHG) emissions (carbon footprints) and water consumption (water scarcity footprint) for different first-generation biofuels in comparison with their fossil alternatives. We employed standard (secondary) LCA data including uncertainties of process activities, resource consumption, and emissions throughout the value chain in order to compare different options under the influence of uncertainties and in order to identify the contribution to variance (CTV) of input data, giving insight into which environmental flows need to be better assessed. Furthermore, by also introducing uncertainties in the impact assessment for GHG emissions and water consumption, we were able to determine which LCA stage is more influenced by uncertainties, the accounting or impact assessment stage. Additionally, we analyzed the effect of choosing different time horizons GHGs (typically set to 100 years). The analyzed fuels perform differently depending on the choice of impact category considered. For liquid fuels, we observed a tradeoff between resource depletion and water footprint, while biogas options have lower impacts in most categories. Biogas from waste has significantly lower carbon footprints than natural gas for long time horizons and a similar water footprint. However, with the 20-year Intergovernmental Panel on Climate Change (IPCC) factors, methane emissions from biogas largely compensate the fossil CO2 emissions in our case and no robust difference is observed under uncertainty considerations. Both impact assessment and inventory uncertainties are important. Due to the very high number of parameters, the CTV analysis was not robust for assessing GHG emissions. This study shows that uncertainty is important in LCA and carbon or water footprint assessment of agricultural feedstock production. Integration of parameter uncertainties helps to evaluate the significance of the difference from two product options. For biogas, the choice of the time horizon in carbon footprint assessment is decisive and needs a strong justification.

A Stimulating Experience

The purpose of this study was to examine the views of international Science Olympiad participants on the benefits of the competition and the factors that affected their career aspirations. We also investigated how students’ choice of competition category varied with respect to gender. The sample included 273 International Sustainable World Energy, Engineering, and Environment Project (I-SWEEEP) participants from 39 countries. Mixed-methods were used to analyze the data. Descriptive statistics and t-statistics were provided to answer the first question. As a means of addressing the second question, a chi-square test was utilized to examine how participants’ category selection differed by gender. Qualitative analysis was used to reveal the types of benefits students reaped from participation in the I-SWEEEP. Results indicated that students were most affected by their teachers, parents, and personal interests. Although the relationship between gender and competition category was not statistically significant, there nevertheless emerged a pattern showing that girls preferred environmental science projects (45.5%) to engineering projects (24.4%). Qualitative analyses revealed six themes as benefits that students gained from participation in the I-SWEEEP. The relationship among the fundamental themes was also examined and revealed important findings. The results have educational implications for helping students accomplish to be science, technology, engineering, and mathematics (STEM) professionals in the future.

Malaria care seeking behavior of individuals in Ghana under the NHIS: Are we back to the use of informal care?

BackgroundMalaria is Ghana's most endemic disease; occurring across most parts of the country with a significant impact on individuals and the health system as whole. Treatment seeking for malaria care takes various forms. The National Health Insurance Scheme (NHIS) was introduced in 2004 to promote access to health services to mitigate the negative impact of the user fee regime. Ten years on, national coverage is less than 40% of the total population and patients continue to make direct payments for health services. This paper analyses the care-seeking behaviour of households for treatment of malaria in Ghana under the NHI policy.MethodUsing a cross-sectional survey of household data collected from three districts in Ghana covering the 3 ecological zones namely the coastal, forest and savannah, a multinomial logit model is estimated. The sample consists of 365 adults and children reporting being ill with malaria in the last four weeks prior to the study.ResultsOut of the total, 58% were insured and 71% of them sought care from a formal health facility. Among the insured, 15% chose informal care compared to 48% among the uninsured. The results from the multinomial logit estimations show that health insurance and travel time to health facility are significant determinants of health care demand. The results show that the insured are 6 times more likely to choose regional/district hospitals: 5 times more likely to choose health centres/clinics and 7 times more likely to choose private hospitals/clinics over informal care when compared with the uninsured. Individual characteristics such as age, education and wealth status were significant determinants of health care provider choice for specific categories of health facilities.ConclusionOverall, for malaria care the uninsured are more likely to choose informal care compared to the insured for the treatment of malaria.

Влияние факторов доступности и позитивности социальной категории на межгрупповое восприятие

This article is devoted to studying influence of factors of availability and positive emotional coloring on an ethnic categorization. In article opportunity by means of the stimulating material to increase probability for activation of an ethnic categorization at the Moscow school students is studied. Article is the cornerstone on the theory of social identity of Tejfel and Turner and the factors making social identity, described in works O. A. Gulevich. Research studied in which opportunity to affect a social categorization of school students by means of granting to it the printing material containing the available emotional coloring promoting a choice of ethnic category as the main in a technique "the 4th superfluous" was conducted. Research consisted of two stages: in the first case we checked a hypothesis for importance of a factor of availability of ethnic category, showing trained article about the ethnic migrants with neutral coloring. At the second investigation phase we added the material describing a negative image of the migrant, thus, respondents had opportunity for receiving a positive assessment of own ethnic group at the expense of the shown negative image of other ethnic group. 63 pupils of Moscow schools at the age of 12-15 years, 27 males and 36 female took part in research. These researches show that it isn't enough only one factor of availability to activation of an ethnic categorization, but in the presence of a factor of positivity of own in-group in comparison with out-group, the frequency of activation of ethnic category becomes higher. Thus, research showed that existence of a factor of positivity of an ingroup, in comparison with out-group, in a bigger measure promotes activation of ethnic category in a situation of intergroup interaction at the level of the statistical importance.

High School Students’ Perceptions of the Effects of International Science Olympiad on Their STEM Career Aspirations and Twenty-First Century Skill Development

Social cognitive theory guided the design of a survey to investigate high school students’ perceptions of factors affecting their career contemplations and beliefs regarding the influence of their participation in the international Science Olympiad on their subject interests and twenty-first century skills. In addition, gender differences in students’ choice of competition category were studied. Mixed methods analysis of survey returns from 172 Olympiad participants from 31 countries showed that students’ career aspirations were affected most by their teachers, personal interests, and parents, respectively. Students also indicated that they believed that their participation in the Olympiad reinforced their plan to choose a science, technology, engineering, and mathematics (STEM) major at college and assisted them in developing and improving their twenty-first century skills. Furthermore, female students’ responses indicated that their project choices were less likely to be in the engineering category and more likely to be in the environment or energy categories. Findings are discussed in the light of increasing the awareness of the role and importance of Science Olympiads in STEM career choice and finding ways to attract more female students into engineering careers.

Perceptions of Mixed-Race

The psychology of race is in its infancy, particularly in the United Kingdom and especially regarding mixed-race. Most use untimed explicit indexes and qualitative/self-report measures. Here, we used not only explicit responses (participants’ choice of response categories) but also implicit data (participants’ response times, RT). In a Stroop task, 92 Black, White, and mixed-race participants classified photographs of mixed-race persons. Photos were accompanied by a word, such as Black or White. Participants ignored the word, simply deciding whether to categorize photos as White or Black. Averaged across three different instructional sets, White participants categorized mixed-race slightly to the White side of the center point, with Black participants doing the converse. Intriguingly, mixed-race participants placed mixed-race photos further toward Black than did the Black group. But for RT, they now indicated midway between White and Black participants. We conclude that at the conscious (key-press) level, mixed-race persons see being mixed-race as Black, but at the unconscious (RT) level, their perception is a perfect balance between Black and White. Findings are discussed in terms of two recent theories of racial identity.

Peer assessment of aviation performance: inconsistent for good reasons.

Research into expertise is relatively common in cognitive science concerning expertise existing across many domains. However, much less research has examined how experts within the same domain assess the performance of their peer experts. We report the results of a modified think-aloud study conducted with 18 pilots (6 first officers, 6 captains, and 6 flight examiners). Pairs of same-ranked pilots were asked to rate the performance of a captain flying in a critical pre-recorded simulator scenario. Findings reveal (a) considerable variance within performance categories, (b) differences in the process used as evidence in support of a performance rating, (c) different numbers and types of facts (cues) identified, and (d) differences in how specific performance events affect choice of performance category and gravity of performance assessment. Such variance is consistent with low inter-rater reliability. Because raters exhibited good, albeit imprecise, reasons and facts, a fuzzy mathematical model of performance rating was developed. The model provides good agreement with observed variations.

Integrating participatory approaches into social life cycle assessment: the SLCA participatory approach

Purpose This article discusses the choice of stakeholder categories and the integration of stakeholders into participatory processes to define impact categories and select indicators.