Miracle-dz/UniFAR-FTUs huggingface dataset:
Idea Grou p Inc . Copy right Idea Grou p Inc . Copy right Idea Grou p Inc . Copy right Idea Grou p Inc . Chapter 6 Toward a Theory-Based Measurement of Culture

In reviewing the history of the conceptualization and measurement of culture, one quickly realizes that there is wide-ranging and contradictory scholarly opinion about which values, norms, and beliefs should be measured to represent the concept of culture.  We explore an alternate theory-based view of culture via social identity theory (SIT), which suggests that each individual is influenced by plethora of cultures and sub-culturessome ethnic, some national, and some organizational. In IS research, the culture of subjects and respondents is problematic because it is typically an overly simplistic categorization. IS research nearly always assumes that an individual living in a particular place and time belongs to a single culture, e.g., someone living in Egypt is automatically classified as being a member of the Egyptian culture, or, more broadly, the Arab culture. This dearth of clear concepts and measures for culture may explain why cross-cultural research has been so exceedingly difficult to conduct. It may also explain why it has been hard to develop and refine theories. Moreover, it may give insight into
Community detection based on significance optimization in complex networks

Community structure is an important topological property that extensively exists in various complex networks. In the past decade, much attention has been paid to the design of community-detection methods, while analyzing the behaviors of the methods is also of interest in theoretical research and real applications. Here, we focus on an important measure for community structure, i.e. significance (2013 Sci. Rep. 3 2930). Specifically, we study the effect of various network parameters on this measure, analyze the critical behaviors in partition transition, and then deduce the formula of the critical points and the phase diagrams theoretically. The results show that the critical number of communities in partition transition increases dramatically with the difference between inter-community and intra-community link densities, and thus significance optimization displays higher resolution in community detection than many other methods, but it also may lead to the excessive splitting of communities. By employing the Louvain algorithm to optimize the significance, we confirm the theoretical results on artificial and real-world networks, and further perform a series of comparisons with some classical methods.
Mechanism of Genetic Complementation of Ammonium Transport in Yeast by Human Erythrocyte Rh-associated Glycoprotein*

The Rh blood group proteins are erythrocyte proteins important in neonatal and transfusion medicine. Recent studies have shed new light on the possible biological function of Rh proteins as members of a conserved family of proteins involved in ammonium transport. The erythrocyte Rh-associated glycoprotein (RhAG) mediates uptake of ammonium when expressed in Xenopus laevis oocytes, and functional studies indicate that RhAG might function as an NH4+-H+-exchanger. To further delineate the functional properties of RhAG, in this study we have expressed RhAG in both a Saccharomyces cerevisiae ammonium-transport mutant (mep1Δ mep2Δ mep3Δ) and a wild-type strain. RhAG was able to complement the transport mutant, with complementation strictly pH-dependent, requiring pH 6.2–6.5. RhAG also conferred resistance to methylamine (MA), a toxic analog of ammonium, and expression in wild-type cells revealed that resistance was correlated with efflux of MA. RhAG-mediated resistance was pH-dependent, being optimal at acid pH. The opposite pH dependence of ammonium complementation (uptake) and MA resistance (efflux) is consistent with bidirectional movement of substrate counter to the direction of the proton gradient. This report clarifies and expands previous observations of RhAG-mediated transport in yeast and supports the hypothesis that ammonium transport is coupled to the H+ gradient and that RhAG functions as a NH4+/H+ exchanger.
Diagnostic value of D2-40 immunostaining for malignant mesothelioma: a meta-analysis

Malignant mesothelioma (MM) has become a global disease burden for its rising incidence and invariable fatality. D2-40 has been widely used as an immunostaining marker of diagnosing MM, while its diagnostic value has not yet been evaluated. Our study aimed to assess the overall accuracy of D2-40 immunostaining for diagnosing MM through a meta-analysis. A total of 22 studies with 2,264 participants were identified from PubMed, EMBASE, Web of Science, Scopus and the Cochrane database. The pooled sensitivity and specificity of D2-40 for MM was 0.86 (95% CI: 0.84–0.89) and 0.77 (95% CI: 0.74–0.79), respectively. The area under the summary receiver operating characteristic curve is 0.93, with a diagnostic odds ratio 40.37 (95% CI: 19.97–81.61). None of the study variates was found to be a source of heterogeneity after meta-regression analysis. In conclusion, D2-40 immunostaining may not give sufficient evidence by itself to diagnose MM and should be in combination with other markers to improve the accuracy of diagnosis.
Exploiting the maximum entropy principle to increase retrieval effectiveness

Several of the drawbacks of conventional information retrieval systems can be overcome by a design approach in which queries consist of sets of terms, either unweighted or weighted with subjective term precision estimates, and retrieval outputs are ranked by probability of usefulness estimated in accordance with the so‐called “maximum entropy principle. ” A system organized along these lines combines the convenience of a simple input language with a powerful probabilistic inference mechanism capable of exploiting kinds of statistical clues not ordinarily used in systems of traditional design. The sensitivity of the maximum entropy principle to the frequencies and joint frequencies with which terms have been assigned to documents in the collection results in a system design of increased power and expressiveness without a concomitant increase in the complexity of the request language. It incorporates the more important search capabilities of both Boolean and conventional weighted‐request languages and facilitates the use of unconventional search clues.
Exploring the mediating role of affective and cognitive satisfaction on the effect of service quality on loyalty

This research aims to test the mediating role of both affective and cognitive satisfaction on the effect of service quality on loyalty. Affective satisfaction is represented by Kansei Engineering-based measures and cognitive satisfaction is represented by overall customer satisfaction. The study is based on a survey through personal interviewing and face-to-face questionnaire. There were 102 respondents from 24 hotels ranging from three-star to five-star hotels in Surabaya, Indonesia. There are four latent variables, namely, service quality, overall customer satisfaction, Kansei and loyalty. We found that both overall customer satisfaction and Kansei partially mediate the relationship between service quality and loyalty (approximately 52% mediation effects). In particular, the two mediators, namely, Kansei and overall customer satisfaction, account for 24% and 28% of the effect of service quality on loyalty, respectively. This research complements the previous research by taking into account both cognitive and affective satisfaction as mediators at the same time. It is shown that the two-mediator model fits the data better than using one mediator or no mediator. The generalisation of the results from the study is limited because of the relatively small sample size in a single service setting.
Smart Domestic Appliances Supporting The System Integration of Renewable Energy

The sole responsibility for the content of this report lies with the authors. It does not represent the opinion of the European Communities or the BMU. The European Commission and the BMU are not responsible for any use that may be made of the information contained therein. www.smart-a.org This report summarises the results of the European project " Smart Domestic Appliances in Sustainable Energy Systems (Smart-A) " , which assesses the potential synergies from coordinating the energy demand of domestic appliances with the generation of electricity and heat from renewable energies or cogeneration with other load management requirements in electricity networks. The project was supported by the European Commission through the IEE program 1 2 3 4 5 6 7 8 9 4 Executive Summary Executive Summary 5 Europe has set the ambitious target of a 20% share of overall energy demand to be supplied from renewable energy by 2020. It is expected that in order to achieve this target, the share of renewable energy in the electricity sector will need to increase to some 35%, which means more than doubling the levels which were achieved by 2005. Most of the increase will come from wind and solar energy, which are both fluctuating resources by nature. In the longer run, industrialised countries will have to reduce their carbon emissions by more than 80% compared to 1990, which may require a complete decarbonisation of the electricity sector by the year 2050. One of the major challenges associated with this drastic restructuring of our energy supply is how electricity networks can cope with the variability of wind and solar energy production. This challenge is actually twofold: On the one hand we need the scheduled generation of electricity and demand to match at all times. The progress made in forecasting wind energy production will support the reliability of the schedules for wind generation, but future electricity systems will face higher variability in scheduled power generation. This must be levelled out by increasing the existing capacities for energy storage, e.g. in pumped hydro power plants, and by adapting significant shares of the electricity demand to the available renewable energy production. On the other hand, the increased volatility in electricity generation requires a larger margin of reserve capacity in the energy system, which can react to unexpected deviations from the scheduled production or demand. With less and less conventional power generation in the system, we …
ON EXPLAINING BEHAVIOR

Field and Hineline (2008) offer a sympathetic explanation for the resistance of psychologists and philosophers to explaining behavior as temporally organized phenomena occurring as a function of other events, also often distributed over time. This resistance is supported by the contingencies maintained by the everyday verbal community that make dispositioning the default causal attribution for English speakers. Temporal organization of events is hard to "see," and the linearly organized verbal responses that describe such organization cannot model it. Whereas multiple scales of spatially extended phenomena can be pictured to aid in understanding (as seen, for example, on the "Powers of Ten" website: http://powersof10.com/), pictures of events occurring at multiple time scales are schematics at best. The analysis provided by Field and Hineline helps make sense of the difficulties inherent in explaining behaving.
Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines

The impact-echo (IE) method is a popular non-destructive testing (NDT) technique widely used for measuring the thickness of plate-like structures and for detecting certain defects inside concrete elements or structures. However, the IE method is not effective for full condition assessment (i.e., defect detection, defect diagnosis, defect sizing and location), because the simple frequency spectrum analysis involved in the existing IE method is not sufficient to capture the IE signal patterns associated with different conditions. In this paper, we attempt to enhance the IE technique and enable it for full condition assessment of concrete elements by introducing advanced machine learning techniques for performing comprehensive analysis and pattern recognition of IE signals. Specifically, we use wavelet decomposition for extracting signatures or features out of the raw IE signals and apply extreme learning machine, one of the recently developed machine learning techniques, as classification models for full condition assessment. To validate the capabilities of the proposed method, we build a number of specimens with various types, sizes, and locations of defects and perform IE testing on these specimens in a lab environment. Based on analysis of the collected IE signals using the proposed machine learning based IE method, we demonstrate that the proposed method is effective in performing full condition assessment of concrete elements or structures.
Computers and Mathematics with Applications ( ) – Computers and Mathematics with Applications a Fractional-order Model on New Experiments of Linear Viscoelastic Creep of Hami Melon

This paper describes our experimental testing of linear viscoelastic creep behaviours in Hami Melon. Experimental data shows that Hami Melon has complex viscoelastic property which cannot be well described by the standard model. Consequently, this study develops a fractional derivative model to describe such complex viscoelastic creep behaviours of Hami Melon. The analytical creep function of the proposed fractional linear viscoelastic models is derived via the Boltzmann superposition principle and discrete inverse Laplace transform. And then, such analytical solutions are used to fit the experimental viscoelastic data of Hami Melon. Our study shows that the present fractional linear viscoelastic model with merely three parameters is more efficient and accurate than the generalised Kelvin viscoelastic model of six parameters to describe the stress–strain constitutive relations of Hami Melon. It is noted that the present fractional model with adjustable parameters can also be used to describe creep damage.
Internalized CD 44 s splice isoform attenuates EGFR degradation by targeting Rab 7 A

Division of Hematology and Oncology, Department of Medicine, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611; Department of Molecular & Human Genetics, Lester & Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030; The Ken and Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611; Northwestern Brain Tumor Institute, Center for Genetic Medicine, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611; Department of Neuro-Oncology and Neurosurgery, International Medical Center, Saitama Medical University, Saitama, 350-1298, Japan; Department of Neurosurgery, Kyorin University, Tokyo, 181-8611, Japan; and International Institute for Nanotechnology, Northwestern University, Chicago, IL 60611
The effect of diliberating [i.e. deliberating] dilemmas on decision-making as measured by the Iowa Gambling Task

Decision-making research using the Iowa Gambling Task (IGT) has uncovered gender differences in performance. Men’s scores on the IGT are significantly higher than women’s scores. Previous research established that reading Personal Moral dilemmas during performance of the IGT increased women’s scores equal to that of men. The proposed research looks to answer the questions; will women’s performance increase when the Personal Moral dilemmas are read prior to performing the IGT and will Non Moral dilemmas also increase performance? Gender differences are eliminated in all conditions. Women’s scores on the IGT are increased in all conditions when dilemmas are read prior to the IGT.
Liver-Derived IGF-I Regulates Mean Life Span in Mice

Background Transgenic mice with low levels of global insulin-like growth factor-I (IGF-I) throughout their life span, including pre- and postnatal development, have increased longevity. This study investigated whether specific deficiency of liver-derived, endocrine IGF-I is of importance for life span. Methods and Findings Serum IGF-I was reduced by approximately 80% in mice with adult, liver-specific IGF-I inactivation (LI-IGF-I-/- mice), and body weight decreased due to reduced body fat. The mean life span of LI-IGF-I-/- mice (n = 84) increased 10% vs. control mice (n = 137) (Cox's test, p<0.01), mainly due to increased life span (16%) of female mice [LI-IGF-I-/- mice (n = 31): 26.7±1.1 vs. control (n = 67): 23.0±0.7 months, p<0.001]. Male LI-IGF-I-/- mice showed only a tendency for increased longevity (p = 0.10). Energy expenditure, measured as oxygen consumption during and after submaximal exercise, was increased in the LI-IGF-I-/- mice. Moreover, microarray and RT-PCR analyses showed consistent regulation of three genes (heat shock protein 1A and 1B and connective tissue growth factor) in several body organs in the LI-IGF-I-/- mice. Conclusions Adult inactivation of liver-derived, endocrine IGF-I resulted in moderately increased mean life span. Body weight and body fat decreased in LI-IGF-I-/- mice, possibly due to increased energy expenditure during exercise. Genes earlier reported to modulate stress response and collagen aging showed consistent regulation, providing mechanisms that could underlie the increased mean life span in the LI-IGF-I-/- mice.
IUI4DR: intelligent user interfaces for developing regions

Information Technology has had significant impact on the society and has touched all aspects of our lives. So far, computers and expensive devices have fueled this growth. The challenge now is to take this success of IT to its next level where IT services can be accessed by masses. "Masses" here mean the people who (a) are not yet IT literate and/or (b) do not have the purchase power to use the current IT delivery mechanisms (PC centric model) and/or (c) do not find current IT solutions and services relevant to their life or business. Interestingly, a huge portion of the world's population falls in this category. To enable the IT access to such masses, this workshop focuses on easy-to-use and affordable, yet powerful, user interfaces that can be used by this population.
Relation of iodine‐123 metaiodobenzylguanidine myocardial scintigraphy to endomyocardial biopsy findings in patients with dilated cardiomyopathy

Background: Iodine‐123 metaiodobenzylguanidine (123I‐MIBG) concentrates in adrenergic neurons and has been developed for evaluation of the sympathetic nervous system. Recent studies have demonstrated that the normal heart is clearly visualized by 123I‐MIBG cardiac scintigraphy, whereas abnormal 123I‐MIBG myocardial uptake and washout have been demonstrated in patients after myocardial infarction and in patients with congestive cardiomyopathy, long QT syndrome, and ventricular tachycardia.
An empirical analysis of cognitive ability and the effect on health

In this paper an effort has been made to identify the contribution of cognitive ability on health and how cognitive ability influences the effect of education on health. This paper is an addition to the recent paper that tried to disentangle this education and ability effect on mortality (Bijwaard, Van Kippersluis, & Veenman, 2013). A Dutch cohort study has been used with data of almost 3000 recipients all born around 1940. With help of multiple regression analysis, a comparison with presence and absence of two different measurements for intelligence has been done for various models. This research found a positive and significant effect of education on self-assessed health reports
BRCA1 and BRCA2 sequence variants in Chinese breast cancer families

A series of 45 high‐risk breast cancer patients, consisting of 25 affected individuals from 16 families in China with at least two cases of breast cancer and 20 cases of breast cancer diagnosed under age 35 without reported family history, were studied for germline mutations of the BRCA1 and BRCA2 genes. Thirteen of the 16 families contained at least one case diagnosed under age 50. Three distinct protein truncating sequence variants, likely to be disease–associated, were identified: two novel mutations in BRCA1 (1584G>T and 5028delC), and a previously reported mutation in BRCA2 (7883delTTAA). Additional sequence variants identified included common polymorphisms, and several variants of unknown clinical significance, including a novel BRCA1 alteration. Based on models for predictive testing using allele frequencies and risks estimated in Western populations, our results suggest that BRCA1/2 mutations account for a somewhat smaller fraction of breast cancer cases in Tianjin than in the Caucasian populations studied. This difference could be the result of a lower penetrance of BRCA1/2 mutations due to the surrounding environmental and hormonal milieu, or a lower frequency of mutations in this population. Larger, more detailed, studies will be necessary to determine which factors underlie this difference. © 2002 Wiley‐Liss, Inc.
Ratings of Relations Between DSM-IV Diagnostic Categories and Items of the CBCL/6-18, TRF, and YSR

The purpose was to determine the degree to which experienced mental health professionals would judge particular CBCL/6-18, TRF, and YSR items as being consistent with particular DSMIV categories. Child psychiatrists and psychologists who had published research on children’s behavioral/emotional problems rated the consistency of each CBCL, TRF, and YSR problem item with DSM categories that are potentially relevant to school-age children. The 22 raters came from 16 cultures. Items that were rated by at least 14 of the 22 (64%) raters as being very consistent with a diagnostic category were assigned to that category. After combining some categories that had overlaps in DSM criteria, we constructed scales for the following categories: Affective Problems (including Dysthymia and Major Depression); Anxiety Problems (including GAD, SAD, and Specific Phobia); Somatic Problems (including Somatization and Somatoform); Attention Deficit/Hyperactivity Problems (including Hyperactive-Impulsive and Inattentive types); Oppositional Defiant Problems, and Conduct Problems. For each instrument, a DSM-oriented scale comprises the items from that instrument that were rated as being very consistent with the respective diagnostic category. The scales are displayed on profiles for scoring children in relation to normative samples of peers. The profiles show raw scale scores (sum of the 0-1-2 ratings of items comprising a scale); T scores; percentiles; and cutpoints for normal, borderline, and clinical ranges. Windows software for scoring the profiles can provide comparisons among DSM-oriented scale scores obtained from up to 8 CBCL/6-18, TRF, and YSR forms per child.
The Local Community as a Means for Promoting Education for Sustainable Development

This article reports on a study investigating the role of the local community in achieving the objectives of Education for Sustainable Development in Cyprus. The data presented was collected from 21 teachers who participated in a nationwide, exploratory research program aiming at offering them training in implementing environmental projects based in the local community. Teachers' experiences about the manner in which local communities were utilized as an educational tool were investigated. Furthermore, their opinions on student engagement during the projects and how this contributed to student environmental literacy were explored. The data set presented consists of structured questionnaires completed by teachers on completion of the program and individual and focus group interviews from participant teachers. The findings highlight the potential of the local community, not only in developing students' community identity and enhancing their environmental literacy, but its importance for renovating the educational process according to the principles and pedagogy of Education for Sustainable Development.