Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGN GUIDELINES FOR AUDIO PRESENTATION OF GRAPHS AND TABLES

General Line Graph Sonification Guidelines Audio can be used to make visualisations accessible to blind and visually impaired people. The MultiVis Project has carried out research into suitable methods for presenting graphs and tables to blind people through the use of both speech and non- speech audio. This paper presents guidelines extracted from this research. These guidelines will enable designers to implement visualisation systems for blind and visually impaired users, and will provide a framework for researchers wishing to investigate the audio presentation of more complex visualisations. The first set of guidelines are general guidelines for the sonification of line graphs, and are applicable regardless of the number of data series present in the graph.
Persistence of centrality in random growing trees

We investigate properties of node centrality in random growing tree models. We focus on a measure of centrality that computes the maximum subtree size of the tree rooted at each node, with the most central node being the tree centroid. For random trees grown according to a preferential attachment model, a uniform attachment model, or a diffusion processes over a regular tree, we prove that a single node persists as the tree centroid after a finite number of steps, with probability 1. Furthermore, this persistence property generalizes to the top K ≥ 1 nodes with respect to the same centrality measure. We also establish necessary and sufficient conditions for the size of an initial seed graph required to ensure persistence of a particular node with probability 1−ϵ , as a function of ϵ: In the case of preferential and uniform attachment models, we derive bounds for the size of an initial hub constructed around the special node. In the case of a diffusion process over a regular tree, we derive bounds for the radius of an initial ball centered around the special node. Our necessary and sufficient conditions match up to constant factors for preferential attachment and diffusion tree models.
The Contribution of Color to Motion Processing in Macaque Middle Temporal Area

The chromatic properties of an image yield strong cues for object boundaries and thus hold the potential to facilitate the detection of object motion. The extent to which cortical motion detectors exploit chromatic information, however, remains a matter of debate. To address this further, we quantified the strength of chromatic input to directionally selective neurons in the middle temporal area (MT) of macaque cerebral cortex using an equivalent luminance contrast (EqLC) paradigm. This paradigm, in which two sinusoidal gratings, one heterochromatic and the other achromatic, are superimposed and moved in opposite directions, allows the sensitivity of motion detectors to heterochromatic stimuli to be quantified and expressed relative to the benchmark of sensitivity for a luminance-defined stimulus. The results of these experiments demonstrate that the chromatic contrast in a moving red–green heterochromatic grating strongly influences directional responses in MT when the luminance contrast in that same grating is relatively low; for such stimuli, EqLC is at least 5%. When luminance contrast is added to the heterochromatic grating, however, EqLC wanes sharply and becomes negative (−4%) when luminance contrast is sufficiently high (>17–23%). Thus, the chromatic properties of an object appear to confer little or no benefit to motion processing by MT neurons when sufficient luminance contrast concurrently exists. These data support a simple model in which chromatic motion processing in MT is almost exclusively determined by magnocellular input. Additionally, a comparison of neuronal and psychophysical data suggests that MT may not be the sole contributor to the perceptual experience elicited by motion of heterochromatic patterns, or that only a subset of MT neurons serve this function.
Partial Privatization and Firm Performance: Evidence from India

Privatization in India is mostly limited to the diffuse sale of minority stakes in firms. Since control rights have not been transferred to private owners it is widely contended that the process has had little impact on firm behavior. We find however that even the sale of minority stakes has a positive impact on firm performance and productivity. As the government remains the controlling owner in these firms, we infer that the improvement is attributable to the role of the stock market in monitoring managerial performance rather than to a change in owners' objectives. Consistent with this interpretation, we find that improvements in earnings are due to an increase in the productivity of labor rather than layoffs. Partial privatization continues to affect the sales and operating efficiency of firms when we control for competitive conditions, and the evidence also suggests that privatization and competition have a complementary impact on firm performance.
Discovering the false discovery rate

Summary. I describe the background for the paper ‘Controlling the false discovery rate: a new and powerful approach to multiple comparisons’ by Benjamini and Hochberg that was published in the Journal of the Royal Statistical Society, Series B, in 1995. I review the progress since made on the false discovery rate, as well as the major conceptual developments that followed.
Trends and variations in breast and colorectal cancer incidence from 1995 to 2011: A comparative study between Texas Cancer Registry and National Cancer Institute’s Surveillance, Epidemiology and End Results data

Few studies have examined the cancer incidence trends in the state of Texas, and no study has ever been conducted to compare the temporal trends of breast and colorectal cancer incidence in Texas with those of the National Cancer Institute’s Surveillance, Epidemiology and End Results (SEER) in the United States. This study aimed to conduct a parallel comparison between the Texas Cancer Registry and the National Cancer Institute’s SEER on cancer incidence from 1995 to 2011. A total of 951,899 breast and colorectal cancer patients were included. Age-adjusted breast cancer incidence was 134.74 per 100,000 in Texas and 131.78 per 100,000 in SEER in 1995–2011, whereas age-adjusted colorectal cancer incidence was 50.52 per 100,000 in Texas and 49.44 per 100,000 in SEER. Breast cancer incidence increased from 1995 to 2001, decreased from 2002 to 2006, and then remained relatively stable from 2007 to 2011. For colorectal cancer, the incidence increased in 1995–1997, and then decreased continuously from 1998 to 2011 in Texas and SEER areas. Incidence rates and relative risks by age, gender and ethnicity were identical between Texas and SEER.
Historical Analysis of the Brazilian Cervical Cancer Screening Program from 2006 to 2013: A Time for Reflection

Background The Cervical Cancer Database of the Brazilian National Health Service (SISCOLO) contains information regarding all cervical cytological tests and, if properly explored, can be used as a tool for monitoring and managing the cervical cancer screening program. The aim of this study was to perform a historical analysis of the cervical cancer screening program in Brazil from 2006 to 2013. Material and Methods The data necessary to calculate quality indicators were obtained from the SISCOLO, a Brazilian health system tool. Joinpoint analysis was used to calculate the annual percentage change. Results We observed important trends showing decreased rates of low-grade squamous intraepithelial lesions (LSIL) and high-grade squamous intraepithelial lesions (HSIL) and an increased rate of rejected exams from 2009 to 2013. The index of positivity was maintained at levels below those indicated by international standards; very low frequencies of unsatisfactory cases were observed over the study period, which partially contradicts the low rate of positive cases. The number of positive cytological diagnoses was below that expected, considering that developed countries with low frequencies of cervical cancer detect more lesions annually. Conclusions The evolution of indicators from 2006 to 2013 suggests that actions must be taken to improve the effectiveness of cervical cancer control in Brazil.
Grammar induction from (lots of) words alone

Grammar induction is the task of learning syntactic structure in a setting where that structure is hidden. Grammar induction from words alone is interesting because it is similiar to the problem that a child learning a language faces. Previous work has typically assumed richer but cognitively implausible input, such as POS tag annotated data, which makes that work less relevant to human language acquisition. We show that grammar induction from words alone is in fact feasible when the model is provided with sufficient training data, and present two new streaming or mini-batch algorithms for PCFG inference that can learn from millions of words of training data. We compare the performance of these algorithms to a batch algorithm that learns from less data. The minibatch algorithms outperform the batch algorithm, showing that cheap inference with more data is better than intensive inference with less data. Additionally, we show that the harmonic initialiser, which previous work identified as essential when learning from small POS-tag annotated corpora (Klein and Manning, 2004), is not superior to a uniform initialisation.
Network Scale-Up Correction Factors for Population Size Estimation of People Who Inject Drugs and Female Sex Workers in Iran

Introduction The results of the network scale-up (NSU) method in estimating the size of key populations for HIV might be biased if the recruited subjects are not fully informed of the risky behaviors of people in their networks (low visibility), or key populations have a smaller social network (low popularity). We aimed to measure such biases in the size estimation of people who inject drugs (PWIDs), and female sex workers (FSWs) in Iran. Methods We interviewed 163 male PWIDs, 76 FSWs (known as egos) and 600 subjects from the general population. We selected twenty first-names (ten males and ten females) and asked the study subjects separately how many people they knew with one of these names (known as alters). Visibility Factor (VF) was defined as the percentage of FSW or PWID alters that were aware of their behavior. In addition, the popularity factor (PF) was calculated by dividing the number of alters reported by FSWs and PWIDs into that of the general population. The 95% uncertainty intervals (UI) were calculated using bootstrap technique. Results The VF was estimated at 54% (95% UI: 52%–56%) for PWID and 45% (95% UI: 42%– 48%) for FSW. The VF among the peer alters was significantly higher than non-peer ones. The PF for PWID and FSW was 69% (95% UI: 66%–73%) and 77% (95% UI: 72%–83%), respectively. The cross-validation and name splitting analysis showed that our estimates were not influenced by any single name. Conclusions Both correction factors, particularly VF were far from one, and NSU results without correction, could lead to up to 4 times underestimation of the sizes. Therefore, applying these coefficients is necessary in NSU projects.
Impact of Childhood Adversity and Vasopressin receptor 1a Variation on Social Interaction in Adulthood: A Cross-Sectional Study

Background Arginine vasopressin (AVP) plays a role in social behavior, through receptor AVPR1A. The promoter polymorphism AVPR1A RS3 has been associated with human social behaviors, and with acute response to stress. Here, the relationships between AVPR1A RS3, early-life stressors, and social interaction in adulthood were explored. Methods Adult individuals from a Swedish population-based cohort (n = 1871) were assessed for self-reported availability of social integration and social attachment and for experience of childhood adversities. Their DNA samples were genotyped for the microsatellite AVPR1A RS3. Results Among males, particularly those homozygous for the long alleles of AVPR1A RS3 were vulnerable to childhood adversity for their social attachment in adulthood. A similar vulnerability to childhood adversity among long allele carriers was found on adulthood social integration, but here both males and females were influenced. Limitation Data were self-reported and childhood adversity data were retrospective. Conclusions Early-life stress influenced the relationship between AVPR1A genetic variants and social interaction. For social attachment, AVPR1A was of importance in males only. The findings add to previous reports on higher acute vulnerability to stress in persons with long AVPR1A RS3 alleles and increased AVP levels.
Individual Taxpayer Intention to Use Tax Preparation Software: Examining Experience, Trust, and Perceived Risk

The purpose of this paper is two-fold. First, we apply the "Unified Theory of Acceptance and Use of Technology" (UTAUT) model in the novel context of individual tax preparation. Second, we introduce additional concepts into the UTAUT model related to trust in the system as well as individual perceived risk and computing and tax experience. We believe these are important factors in an individual and personal setting. Results suggest that, while the 'traditional' UTAUT constructs are significantly related to the acceptance of tax preparation, software security and privacy concerns do not seem to be particularly relevant. We believe that these findings suggest a possible tradeoff of security and privacy for convenience.
OPTIMAL INVESTMENT UNDER RELATIVE PERFORMANCE CONCERNS

We consider the problem of optimal investment when agents take into account their relative performance by comparison to their peers. Given N interacting agents, we consider the following optimization problem for agent i, 1≤i≤N : supπi∈AiEUixxx(1−λi)XTπi+λixxxXTπi−X¯Ti,πxxxxxx,where Ui is the utility function of agent i, πi his portfolio, Xπi his wealth, X¯i,π the average wealth of his peers, and λi is the parameter of relative interest for agent i. Together with some mild technical conditions, we assume that the portfolio of each agent i is restricted in some subset Ai . We show existence and uniqueness of a Nash equilibrium in the following situations: ‐unconstrained agents, ‐constrained agents with exponential utilities and Black–Scholes financial market. We also investigate the limit when the number of agents N goes to infinity. Finally, when the constraints sets are vector spaces, we study the impact of the λi s on the risk of the market.
People, Poverty and livelihoods : links for sustainable poverty reduction in Indonesia

The study demonstrates convincingly, circumstances that do block people's ability to use their assets to obtain sustainable livelihoods. Too often those barriers are institutional. Inadequate, or inappropriate services, indifference, corruption and exploitation complicate the lives of the poor, adding to both poverty, and vulnerability. It highlights the links between macro-level structures, and processes, the resources upon which poor people depend, and the strategies the poor pursue in the struggle to survive, and to improve their situation. Following an overview of the background and goals of the study, Section two outlines the sustainable livelihoods framework and research methodology used, mostly highlighting the human, physical, natural, financial, and social capital of the poor. Under Section three, the report introduces site descriptions, and the selection criteria, while Section four describes the vulnerability contexts encountered in the communities selected, starting with people's own definitions of poverty, and the variations in perceptions of poverty by women and men, due to their different practices, and gendered cultural norms, continued in Section five, with an examination of the key livelihood assets upon which the poor depend. The last sections (six, seven, and eight) describe how to transform the structures and processes that shape poverty conditions, present an analysis of what helps, or hinders efforts to improve incomes and well-being, and, identifies a policy that assesses poverty programming, from empowerment, social protection, and pro-poor growth to safety nets.
SEXUAL DIMORPHISM AND ADAPTIVE SPECIATION: TWO SIDES OF THE SAME ECOLOGICAL COIN

Abstract Models of adaptive speciation are typically concerned with demonstrating that it is possible for ecologically driven disruptive selection to lead to the evolution of assortative mating and hence speciation. However, disruptive selection could also lead to other forms of evolutionary diversification, including ecological sexual dimorphisms. Using a model of frequency-dependent intraspecific competition, we show analytically that adaptive speciation and dimorphism require identical ecological conditions. Numerical simulations of individual-based models show that a single ecological model can produce either evolutionary outcome, depending on the genetic independence of male and female traits and the potential strength of assortative mating. Speciation is inhibited when the genetic basis of male and female ecological traits allows the sexes to diverge substantially. This is because sexual dimorphism, which can evolve quickly, can eliminate the frequency-dependent disruptive selection that would have provided the impetus for speciation. Conversely, populations with strong assortative mating based on ecological traits are less likely to evolve a sexual dimorphism because females cannot simultaneously prefer males more similar to themselves while still allowing the males to diverge. This conflict between speciation and dimorphism can be circumvented in two ways. First, we find a novel form of speciation via negative assortative mating, leading to two dimorphic daughter species. Second, if assortative mating is based on a neutral marker trait, trophic dimorphism and speciation by positive assortative mating can occur simultaneously. We conclude that while adaptive speciation and ecological sexual dimorphism may occur simultaneously, allowing for sexual dimorphism restricts the likelihood of adaptive speciation. Thus, it is important to recognize that disruptive selection due to frequency-dependent interactions can lead to more than one form of adaptive splitting.
Emotional development among early school-age children: gender differences in the role of problem behaviours

There has been an increasing focus on social and emotional development in educational programmes in early childhood as both variables are believed to influence behavioural outcomes in the classroom. However, relationships between social and emotional development and behaviour in early childhood have rarely been explored. This article sets out to investigate the conceptualisation of these variables and their interrelationships. Structural equation models were used to assess whether differences exist between boys and girls in relation to social and emotional competences, which could affect the relative success of such programmes. This article is based on cross-sectional data collected from 749 four- to six-year-olds and their teachers. The findings generally supported the hypothesised relationships between social and emotional development variables and prosocial behaviour (including internalising behaviour) for boys and girls. However, some gender differences were noted in externalising behaviour, which teachers often consider to be most significant due to its potentially disruptive nature in the classroom.
Evaluation of community engagement in the design and delivery of health promotion interventions

Background: Community engagement has become mainstream practice in many sectors, such that many might say that it has become another box to be ticked when planning and delivering projects. There are many potential benefits of community engagement to the residents, local stakeholders and external delivery agencies; however gaps have been identified in the evaluation of impact, barriers and facilitators of community engagement (NICE, 2008). This study prospectively looks at how the process of community engagement under the Well London programme (a five-year health promotion programme which addresses physical activity, diet and mental wellbeing) was delivered in multiple deprived neighbourhoods, and how this process influenced the different stakeholders and the health promotion projects delivered. Methods: This study used a mixed method approach to examine the process, perceptions, impacts, incentives, barriers and challenges of community engagement. Data were collected through literature review, questionnaire surveys, participant observation, qualitative interviews and evidence from documentary sources. Results: The study found that the World Cafe and appreciative enquiry approaches used were useful and effective tools for engaging communities; and the primary motivation for residents’ participation was the desire to belong to a community which they could help shape for the better. Key lessons from the process are the need to manage the expectations of local stakeholders and residents by effectively communicating programme goals and limitations; and the need for sufficient time to build relationships and trust for engagement. Residents’ level of engagement was influenced by past experiences of consultation processes, local politics and regeneration. There is a need to have good knowledge of the community that is being engaged, and to know the local context and peculiarities which differentiate communities. Conclusion: Residents of different ages, gender and cultures engage differently and processes should be sensitive to, and accommodate these differences. The impact of the CEP on the design and delivery of projects was inconclusive.
Risk of Assessing Mortality Risk in Elective Cardiac Operations: Age, Creatinine, Ejection Fraction, and the Law of Parsimony

Background— Several mortality risk scores exist in cardiac surgery. All include a considerable number of independent risk factors. In elective cardiac surgery patients, the operative mortality is low, the number of events recorded per year is limited, and the risk model may be overfitted. The present study aims to develop and validate an operative mortality risk score for elective patients based on a limited number of factors. Methods and Results— The development series included 4557 adult patients who had undergone an elective cardiac operation at our institution from 2001 to 2003; the validation series includes the 4091 patients who subsequently underwent an operation. Three independent factors were included in the mortality risk model: age, creatinine, and left ventricular ejection fraction (ACEF). The ACEF score was computed as follows: age (years)/ejection fraction (%)+1 (if serum creatinine value was >2 mg/dL). The ACEF score was compared with 5 other risk scores in the validation series. Discriminatory power (accuracy) was defined with a receiver-operating characteristics analysis. The best accuracy was achieved by the Cleveland Clinic score (0.812), with ACEF score just below it (0.808). In coronary operations, the 2 scores performed equally well (0.815 versus 0.813), and in isolated coronary operations, the best accuracy was achieved by ACEF (0.826), with the Cleveland Clinic score at 0.806. Conclusion— A risk model limited to 3 independent predictors has similar or better accuracy and calibration compared with more complex risk scores if applied to elective cardiac operations.