Miracle-dz/UniFAR-FTUs huggingface dataset:
On being happy and possessive: The interactive effects of mood and personality on consumer judgments

Evaluations of consumer items may often be based on affective reactions, and many marketing strategies rely on affective manipulations to influence a desire of ownership. Surprisingly, there has been relatively little empirical work investigating the influence of short-term mood states on how people evaluate their material possessions. In particular, the role of individual differences in mediating these effects received little attention. In these two experiments, participants who scored high or low on the Openness to Feelings scale were induced to feel good or bad and were then asked to estimate the subjective and objective value of a variety of consumer items they already owned or wanted to own. Results showed a mood-congruent pattern. People who were feeling good valued both actual and potential possessions more highly than did people in a negative mood. However, individual differences significantly influenced these effects. People who scored high on the Openness to Feelings scale were most influenced by their moods. In contrast, people who scored low on this measure showed the reverse pattern. The findings are discussed in terms of the psychological mechanisms responsible for producing affect infusion into thinking and judgments, and the critical role of personality variables in mediating these effects is considered. The implications of the findings for contemporary affect-cognition theories, and for understanding of the variables influencing consumer judgments are discussed. © 2001 John Wiley & Sons, Inc.
Edinburgh Research Explorer Genome-wide and fine-resolution association analysis of malaria in West Africa

We report a genome-wide association (GWA) study of severe malaria in The Gambia. The initial GWA scan included 2,500 children genotyped on the Affymetrix 500K GeneChip, and a replication study included 3,400 children. We used this to examine the performance of GWA methods in Africa. We found considerable population stratification, and also that signals of association at known malaria resistance loci were greatly attenuated owing to weak linkage disequilibrium (LD). To investigate possible solutions to the problem of low LD, we focused on the HbS locus, sequencing this region of
Approximate Cross Channel Color Mapping from Sparse Color Correspondences

We propose a color mapping method that compensates color differences between images having a common semantic content such as multiple views of a scene taken from different viewpoints. A so-called color mapping model is usually estimated from color correspondences selected from those images. In this work, we introduce a color mapping that model color change in two steps: first, nonlinear, channel-wise mapping, second, linear, cross-channel mapping. Additionally, unlike many state of the art methods, we estimate the model from sparse matches and do not require dense geometric correspondences. We show that well known cross-channel color change can be estimated from sparse color correspondence. Quantitative and visual benchmark tests show good performance compared to recent methods in literature.
Mobile Data Collection from Sensor Networks with Range-Dependent Data Rates

An algorithm, Travelling Salesperson Problem for Data Collection (TSP-DC), is presented which can plan tours for collected data from sensor nodes using a mobile sink. This is the first work which can deal with multiple different data ranges and data loads for each sensor node. Linear programming is used to schedule data transmissions to different nodes to reduce the overall tour time. Simulation results show that the algorithm reduces tour time by up to 70% compared to previous approaches. A further enhancement, TSP-DA (TSP with Dynamic Adjustment) is able to dynamically recalculate tours when the actual data loads at nodes become known, and in some cases, it can outperform tours with prior knowledge of data loads.
Identification of long noncoding RNAs for the detection of early stage lung squamous cell carcinoma by microarray analysis

The aberrant expressions of long noncoding RNAs have been reported in numerous cancers, which have facilitated the cancer diagnosis. However, the expression profile of lncRNAs in early stage lung squamous cell carcinoma has not been well discussed. The present study aimed to examine the expression profile of lncRNAs in early stage lung squamous cell carcinoma and identify lncRNA biomarkers for diagnosis. Through high-throughput lncRNA microarray, we screened thousands of aberrantly expressed lncRNAs and mRNAs in early stage lung squamous cell carcinoma tissues compared to their corresponding adjacent nontumorous tissues. Bioinformatics analyses were used to investigate the functions of aberrantly expressed mRNAs and their associated lncRNAs. After that, in order to identify lncRNA biomarkers for early detection, candidate lncRNA biomarkers were selected based on our established filtering pipeline and validated by real-time quantitative polymerase chain reaction on a total of 63 pairs of tumor samples. Five lncRNAs were finally identified which were able to distinguish early stage tumor and normal samples with high sensitivity (92%) and specificity (83%). These results imply that lncRNAs may be powerful biomarker for early diagnosis.
Light Space Partitioned Shadow Maps

This letter proposes a Light Space Partitioned Shadow Maps (LSPSMs) algorithm which implements shadow rendering based on a novel partitioning scheme in light space. In stead of splitting the view frustum like traditional Z-partitioning methods, we split partitions from the projection of refined view frustum in light space. The partitioning scheme is performed dual-directionally while limiting the wasted space. Partitions are created in dynamic number corresponding to the light and view directions. Experiments demonstrate that high quality shadows can be rendered in high efficiency with our algorithm. key words: projection plane, dual-directional partitioning, light frusta
Exploring the house built on sand

Purpose – The purpose of this paper is to explore the strategy literature in order to identify scholars who have developed specific models of strategy.Design/methodology/approach – An extensive review of the literature was undertaken.Findings – The paper reveals Modernist ideas of several scholars who have developed methods or concepts for delineating the ideas of strategy. A body of economic theory is mentioned but is beyond the scope of this paper.Practical implications – The paper suggests that a move away from the eighteenth century economic concepts must happen, especially the equilibrium assumption, if the strategy discipline is to be developed.Originality/value – Very little work, especially in strategy has been done outside the Modernist paradigm. This paper explores the possibility of incorporating open system ideas into a strategic methodology.
Anthropometric and Health-Related Behavioral Factors in the Explanation of Social Inequalities in Low Birth Weight in Children with Prenatal Alcohol Exposure

There is evidence for social inequalities in the health status of children with prenatal alcohol exposure (PAE). This study aimed to describe social inequalities in low birth weight (LBW) in children/adolescents with PAE and to examine the contribution of anthropometric and health-related behavioral factors to the explanation of social inequalities. A total of 2,159 participants with parental self-reported moderate to regular PAE (enrolled in the cross-sectional German Health Interview and Examination Survey for Children and Adolescents) were examined. At similar levels of PAE, the risk of LBW was significantly increased in subjects with a low socioeconomic status (SES) (adjusted odds ratio (OR) 2.78, 95% confidence interval (CI) 1.59, 4.86) and middle SES (adjusted OR 2.04, 95% CI 1.28, 3.24). Maternal height, maternal body mass index (BMI) and smoking during pregnancy mediated the association. The mediating effect of maternal height was 12.5% to 33.7%. Maternal BMI explained 7.9% of the socioeconomic difference in LBW between the high and low SES groups in children with PAE. The mediating effect of smoking during pregnancy was 17.3% to 31.5%. Maternal height, maternal BMI and smoking during pregnancy together explained 24.4% to 60.1% of the socioeconomic differences in LBW in children with PAE. A large proportion of the socioeconomic differences in LBW in children with PAE can be attributed to anthropometric and health-related behavioral factors.
Changes in photosynthetic apparatus of mustard (Sinapis alba) cotyledons following cycloheximide and kinetin treatments

Biochemical and accompanying structural characteristics of the photosynthetic process were studied in mustard seedlings cultivated on medium with increasing concentrations of cycloheximide alone as well as in combination with various kinetin concentrations. After 7 days of cultivation the contents of total chlorophyll, carotenoids and content of Rubisco in mustard cotyledons were determined. The content of chlorophyll pigments and carotenoids decreased in dependence of cycloheximide concentration. Following antibiotic treatment the content of both Rubisco subunits markedly decreased. In addition cycloheximide caused disturbance in mesophyll organization and chloroplast ultrastructure.Kinetin applied with cycloheximide increased the amount of photosynthetic pigments as well as of Rubisco, compared to the cycloheximide alone. In the seedlings treated with cycloheximide+kinetin the structure of leaf mesophyll and chloroplast membrane system was similar to control. Our results indicate that kinetin diminished the negative effects of cycloheximide on photosynthetic pigments and Rubisco as well as on the structural traits of the cotyledons.
Connecting masculinities and physical activity among senior South Asian Canadian immigrant men

Senior South Asian (SA) men experience many health challenges which may be exacerbated by immigration. However, little is known about the health practices of this subgroup of men, including how they conceptualize connections between exercise, health and illness. An ethnographic qualitative study including fieldwork and participant observations at South Asian men's groups (SAMGs) based in British Columbia (BC), Canada and individual interviews with 36 attendees (group leaders and non-leader group members) were conducted to better understand how masculinity (as it intersects with culture, social class and age) informs and influences men's physical activity. The findings indicated that few men linked exercise with specific illnesses; however, age-induced musculoskeletal impairment and a cold, wet Canadian climate were the main restrictors of men's physical activity. Traditional SA cultures and in some cases economic hardship influenced men's preference for walking to socially connect with other men, while strenuous activity was detailed in nostalgic ways as a previously used tool for securing paid labor. The results indicate varying masculine identities, roles and relations in how men conceptualized and embodied physical activity, some of which were incongruent with Western ideals about men and exercise. Collectivism was a prevailing SA cultural norm for participants, which should be thoughtfully considered in the design and distribution of exercise-based health promotion programs targeted to senior SA Canadian immigrant men.
A Learning Process Using SVMs for Multi-agents Decision Classification

In order to resolve decision classification problem in multiple agents system, this paper first introduces the architecture of multiple agents system. It then proposes a support vector machines based assessment approach, which has the ability to learn the rules form previous assessment results from domain experts. Finally, the experiment are conducted on the artificially dataset to illustrate how the proposed works, and the results show the proposed method has effective learning ability for decision classification problems.
Invasion of erythrocytes in vitro by Plasmodium falciparum can be inhibited by monoclonal antibody directed against an S antigen

Summary A monoclonal antibody has been produced which binds to the heat stable S antigen present in the FCQ‐27/PNG isolate of Plasmodium falciparum. This monoclonal antibody also inhibits the invasion in vitro of erythrocytes by malarial merozoites thus demonstrating that the S antigens of Plasmodium falciparum may be a target of protective immune responses.
Comparing Mining Algorithms for Predicting the Severity of a Reported Bug

A critical item of a bug report is the so-called "severity", i.e. the impact the bug has on the successful execution of the software system. Consequently, tool support for the person reporting the bug in the form of a recommender or verification system is desirable. In previous work we made a first step towards such a tool: we demonstrated that text mining can predict the severity of a given bug report with a reasonable accuracy given a training set of sufficient size. In this paper we report on a follow-up study where we compare four well-known text mining algorithms (namely, Naive Bayes, Naive Bayes Multinomial, K-Nearest Neighbor and Support Vector Machines) with respect to accuracy and training set size. We discovered that for the cases under investigation (two open source systems: Eclipse and GNOME) Naive Bayes Multinomial performs superior compared to the other proposed algorithms.
Fears and Beliefs in Rheumatoid Arthritis and Spondyloarthritis: A Qualitative Study

Objectives To explore beliefs and apprehensions about disease and its treatment in patients with rheumatoid arthritis and spondyloarthritis. Methods 25 patients with rheumatoid arthritis and 25 with spondyloarthritis participated in semi-structured interviews about their disease and its treatment. The interviews were performed by trained interviewers in participants' homes. The interviews were recorded and the main themes identified by content analysis. Results Patients differentiated between the underlying cause of the disease, which was most frequently identified as a hereditary or individual predisposition. In patients with rheumatoid arthritis, the most frequently cited triggering factor for disease onset was a psychological factor or life-event, whereas patients with spondyloarthritis tended to focus more on an intrinsic vulnerability to disease. Stress and overexertion were considered important triggering factors for exacerbations, and relaxation techniques were frequently cited strategies to manage exacerbations. The unpredictability of the disease course was a common source of anxiety. Beliefs about the disease and apprehensions about the future tended to evolve over the course of the disease, as did treatment expectations. Conclusions Patients with rheumatoid arthritis and spondyloarthritis hold a core set of beliefs and apprehensions that reflect their level of information about their disease and are not necessarily appropriate. The physician can initiate discussion of these beliefs in order to dispel misconceptions, align treatment expectations, provide reassurance to the patient and readjust disease management. Such a dialogue would help improve standards of care in these chronic and incapacitating diseases.
The virtual brain: 30 years of video-game play and cognitive abilities

Forty years have passed since video-games were first made widely available to the public and subsequently playing games has become a favorite past-time for many. Players continuously engage with dynamic visual displays with success contingent on the time-pressured deployment, and flexible allocation, of attention as well as precise bimanual movements. Evidence to date suggests that both brief and extensive exposure to video-game play can result in a broad range of enhancements to various cognitive faculties that generalize beyond the original context. Despite promise, video-game research is host to a number of methodological issues that require addressing before progress can be made in this area. Here an effort is made to consolidate the past 30 years of literature examining the effects of video-game play on cognitive faculties and, more recently, neural systems. Future work is required to identify the mechanism that allows the act of video-game play to generate such a broad range of generalized enhancements.
Psychological Groups and Political Psychology: A Response to Huddy's "Critical Examination of Social Identity Theory"

In a recent article in this journal, Leonie Huddy (2001) asks whether the social identity approach developed by Tajfel, Turner, and their collaborators can “advance the study of identity within political science” (p. 128). She concludes that “various shortcomings and omissions in its research program” (p. 128) hinder the application of the approach to political phenomena. This paper presents a response to Huddy’s evaluation of the social identity approach. Several aspects of her account of social identity work are challenged, especially her suggestion that it ignores subjective aspects of group membership. The interpretation of the minimal group paradigm is discussed in detail, as are issues of identity choice, salience, and variations in identity strength. The treatment of groups as process in social identity theory and self–categorization theory is given particular emphasis.
The Insulin-Like Growth Factor System in the Long-Lived Naked Mole-Rat

Naked mole-rats (Heterocephalus glaber) (NMRs) are the longest living rodents known. They show negligible senescence, and are resistant to cancers and certain damaging effects associated with aging. The insulin-like growth factors (IGFs) have pluripotent actions, influencing growth processes in virtually every system of the body. They are established contributors to the aging process, confirmed by the demonstration that decreased IGF signaling results in life-extending effects in a variety of species. The IGFs are likewise involved in progression of cancers by mediating survival signals in malignant cells. This report presents a full characterization of the IGF system in the NMR: ligands, receptors, IGF binding proteins (IGFBPs), and IGFBP proteases. A particular emphasis was placed on the IGFBP protease, pregnancy-associated plasma protein-A (PAPP-A), shown to be an important lifespan modulator in mice. Comparisons of IGF-related genes in the NMR with human and murine sequences indicated no major differences in essential parts of the IGF system, including PAPP-A. The protease was shown to possess an intact active site despite the report of a contradictory genome sequence. Furthermore, PAPP-A was expressed and translated in NMRs cells and retained IGF-dependent proteolytic activity towards IGFBP-4 and IGF-independent activity towards IGFBP-5. However, experimental data suggest differential regulatory mechanisms for PAPP-A expression in NMRs than those described in humans and mice. This overall description of the IGF system in the NMR represents an initial step towards elucidating the complex molecular mechanisms underlying longevity, and how these animals have evolved to ensure a delayed and healthy aging process.
An analysis of TZSearch algorithm in JMVC

In this paper, we research and analyse TZSearch fast algorithm in JMVC. We first introduce the principle and implementation process of the TZSearch, then statistic and summarize the distribution of best matching points; finally, according to analyse of statistic results and the optimal threshold set, set up corresponding threshold for different video feature, early terminate the algorithmic process to reduce the computational complexity. Experiments show that the setup of the threshold set is reasonable, the effect of the proposed algorithm in saving computation time is prominent, and finally sum up the general rule of different characteristics video images applying to different thresholds.
A Comparison of Two Methods of Study

T is article reports data collected on two methods of study in science: (i) that of having pupils write out answers to specific questions, which is still a prevalent method, and (2) that of having pupils formulate a test of their own covering the particular subject under study. The object of the experiment was to determine which method of study would produce the greater amount of factual learning. A report by Early' describes an experiment in a social-studies class in which the pupils made their own examination. In the present experiment the procedure of having the pupils make their own tests was used as a method of study, and their achievement was measured by a teacher-made examination.
Untangling Emoji Popularity Through Semantic Embeddings

Emojis have gone viral on the Internet across platforms and devices. Interwoven into our daily communications, they have become a ubiquitous new language. However, little has been done to analyze the usage of emojis at scale and in depth. Why do some emojis become especially popular while others don't? How are people using them among the words? In this work, we take the initiative to study the collective usage and behavior of emojis, and specifically, how emojis interact with their context. We base our analysis on a very large corpus collected from a popular emoji keyboard, which contains a full month of inputs from millions of users. Our analysis is empowered by a state-of-the-art machine learning tool that computes the embeddings of emojis and words in a semantic space. We find that emojis with clear semantic meanings are more likely to be adopted. While entity-related emojis are more likely to be used as alternatives to words, sentiment-related emojis often play a complementary role in a message. Overall, emojis are significantly more prevalent in a sentimental context.
Quantum Fourier Transform over Symmetric Groups: Improved Result

This paper improves the main result in our paper "Quantum Fourier Transform over Symmetric Groups, Proceedings of the International Symposium on Symbolic and Algebraic Computation (ISSAC), pp. 227--234, Northeastern University, Boston, USA (June 26-29, 2013). " In that paper, we presented an O(n4) quantum Fourier transform (QFT) algorithm over symmetric group Sn, which was faster than the existing algorithm. This paper proposes an O(n3 log n) QFT algorithm over Sn by relieving bottlenecks of our previous algorithm.
The Social Context of Software Maintenance

Software maintenance is a highly collaborative activity whose social context is rarely addressed. To explore this context, we conducted an ethnographic study at a large technology company involving participant observation with software engineers. Thirty-six participants (nine managers and twenty-seven software engineers) at the company participated in semi-formal interviews, while six months of participant observation produced insights about the work practice. The paper presents nine key observations that demonstrate the social context of maintenance activities. These observations provide a description of how work was divided between groups, the social dependencies that exist between groups, challenges in managing branches, the role of small projects, issues of making cross-group changes to source code, how dependencies are identified, problems of confidence in testing, and the impacts of working across widely different time-zones. The paper also highlights implications these observations have for software engineering research and practice.