Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive sequential space-filling design for geostatistical simulations

Proper uncertainty quantification requires the construction of a large set of alternative Earth models. To overcome computational time, distance-based techniques have been recently used in the context of uncertainty quantification. However, they rely on the construction of hundreds of models, prior to the study. One difficulty is that there is no information a priori on the number of models that needs to be generated for accurate uncertainty quantification. This number will depend on the complexity of the test case and the response studied. In this paper, we present a new workflow for uncertainty quantification which aims at constructing models in an adaptive, intelligent manner. Starting with a few initial models, the method defines locations where new models should be constructed, in order to sample efficiently the space of uncertainty. The procedure is iterated until the uncertainty is stabilized, thus implicitly determining the required number of models. Preliminary results are presented on two different test cases, one of them having uncertainty in the input parameters. Results show that the proposed method results in a more accurate uncertainty quantification than the random generation of a set of models of similar size.
Intersection based generalization rules for the analysis of symbolic septic shock patient data

In intensive care units much data is irregularly recorded. Here, we consider the analysis of symbolic septic shock patient data. We show that it could be worth considering the generalization paradigm (individual cases generalized to more general rules) instead of the association paradigm (combining single attributes) when considering very individual cases (e.g. patients) and when expecting longer rules than shorter ones. We present an algorithm for rule generation and classification based on heuristically generated set-based intersections. We demonstrate the usefulness of our algorithm by analysing our septic shock patient data.
The Effect of Mortality Salience on Implicit Bias

Previous research in terror management theory has shown that when individuals are reminded of their mortality, negative evaluations of out-group members increase. This previous research has used a variety of methods to investigate the change in attitudes toward out-group members. These methods generally permit participants time to consciously reflect during responding. In the present study, the authors hypothesized that reminding individuals of their mortality would increase implicit bias toward out-group members when measured with the Implicit Association Test (IAT). In the experiment, White participants were randomly assigned to complete a written essay about imagining their own death (i.e., mortality salience condition) or an essay regarding an upcoming exam (i.e., control condition), and then participants completed an evaluative IAT. The results revealed that participants who had been reminded of their mortality took longer to associate names of Black individuals with positive words when compared to a control group. The implications of these findings are considered.
Donor funded tourism projects: factors for success.

This paper has been drafted to inform the discussions of how we evaluate sustainable tourism projects in the context of 20 years since the Rio Earth Summit, which will take place in the 6 Responsible Tourism in Destinations conference in Sao Paulo, 18-20 June, and in London on 21 June. It draws on the inter-disciplinary literature on the efficacy of donor activity and on the results of a Delphi study undertaken to elicit views from professionals engaged in tourism development about the factors which are key to success or failure of donor funded tourism projects. We review the literature on project success and failure around the role of the donor, the business of aid and the monitoring and evaluation of aid programmes. The literature informs research funded by the Global Partnership for Sustainable Tourism which is hosted by the United Nations Environment Programme. A policy Delphi survey was used to seek the views of practitioners about critical success factors in tourism interventions. The purpose of this was to determine which initiatives should be funded to achieve the donor’s objective of enabling multiple stakeholders to adapt, replicate, and scale-up successful projects. The results suggest a number of measures donors can implement along the project lifecycle to internally ensure projects are more realistic, to be more market oriented and mainstreamed, to increase conditionality of aid on agents, and to improve monitoring and evaluation transparency.
Multi-Class Queuing Networks Models for Energy Optimization

The increase of energy consumption and the related costs in large data centers has stimulated new researches on techniques to optimize the power consumption of the servers. In this paper we focus on systems that should process a peak workload consisting of different classes of applications. The objective is to implement a policy of load control which allows an efficient use of the power deployed to the resources. The proposed strategy controls the workload mix in order to achieve the maximum utilization of all the resources allocated. As a consequence, the power provision will be fully utilized and the throughput maximized. Thus, the costs to execute a given workload will be minimized, together with its energy consumption, since the required processing time is decreased.
A Symmetric Alternating Direction Method of Multipliers for Separable Nonconvex Minimization Problems

In this paper, we propose a symmetric alternating method of multipliers for minimizing the sum of two nonconvex functions with linear constraints, which contains the classic alternating direction method of multipliers in the algorithm framework. Based on the powerful Kurdyka–Łojasiewicz property, and under some assumptions about the penalty parameter and objective function, we prove that each bounded sequence generated by the proposed method globally converges to a critical point of the augmented Lagrangian function associated with the given problem. Moreover, we report some preliminary numerical results on solving l1/2 regularized sparsity optimization and nonconvex feasibility problems to indicate the feasibility and effectiveness of the proposed method.
Helix-loop-helix motif in HIV-1 Rev.

Circular dichroism (CD) spectra of C-terminal deletion mutants of the HIV-1 Rev protein, Rev M9 delta 14 (missing aa 68-112) and Rev M11 delta 14 (lacking aa 92-112), indicated that Rev contains 46-49 residues in alpha-helical conformation within the N-terminal 71 or 95 amino acids of the 116 residue protein. Complexation with a 40-nucleotide fragment of the Rev responsive element, RRE, (G39 to C78), containing the minimal element for Rev binding, induced an A to B form structural transition in the RRE fragment, whereas the percentage of alpha-helical conformation in the protein stays constant on substrate binding. When complexed to the RNA, neither mutant protein showed structural changes upon raising the temperature to 40 degrees C, as determined by the lack of decrease of the signal intensity at 222 nm, indicative for alpha-helical conformation. In contrast, Rev M9 delta 14, which is shorter than Rev M11 delta 14 by 24 amino acids, in the absence of RNA, lost about 60% of the spectral minima at 222 nm at the same temperature. The Rev M11 delta 14 mutant, in the absence of RNA, showed a decrease of 20% in spectral intensity upon heating to 40 degrees C. Free and RNA-bound mutant proteins showed reversible transitions upon heating to 80 degrees C and subsequent cooling down to 10 degrees C overnight. The Rev peptide Cys 75-93, spanning the Rev transactivation domain, showed secondary structure in 40% and 60% hexafluoropropanol (HFP) solutions. (ABSTRACT TRUNCATED AT 250 WORDS)
Assessing Rural Coalitions That Address Safety and Health Issues

Community coalitions can help national organizations meet their objectives. Farm Safety 4 Just Kids depends on coalitions of local people to deliver farm safety and health educational programs to children and their families. These coalitions are called chapters. An evaluation was developed to identify individual coalition's strengths and weaknesses. Ten FS4JK chapter locations conducted a SWOT analysis (strengths, weaknesses, opportunities, and threats) and community focus groups to identify what strategies could be incorporated to improve each coalition's functionality. The findings will help strengthen program delivery, which will guide the national organization toward a more effective support system.
The impact of obesity on US mortality levels: the importance of age and cohort factors in population estimates.

OBJECTIVES To estimate the percentage of excess death for US Black and White men and women associated with high body mass, we examined the combined effects of age variation in the obesity-mortality relationship and cohort variation in age-specific obesity prevalence. METHODS We examined 19 National Health Interview Survey waves linked to individual National Death Index mortality records, 1986-2006, for age and cohort patterns in the population-level association between obesity and US adult mortality. RESULTS The estimated percentage of adult deaths between 1986 and 2006 associated with overweight and obesity was 5.0% and 15.6% for Black and White men, and 26.8% and 21.7% for Black and White women, respectively. We found a substantially stronger association than previous research between obesity and mortality risk at older ages, and an increasing percentage of mortality attributable to obesity across birth cohorts. CONCLUSIONS Previous research has likely underestimated obesity's impact on US mortality. Methods attentive to cohort variation in obesity prevalence and age variation in obesity's effect on mortality risk suggest that obesity significantly shapes US mortality levels, placing it at the forefront of concern for public health action.
Can Music Increase Empathy? Interpreting Musical Experience Through The Empathizing-Systemizing (E-S) Theory: Implications For Autism

Recent research has provided evidence that musical interaction can promote empathy. Yet little is known about the underlying intrapersonal and social psychological processes that are involved when this occurs. For example, which types of music increase empathy and which types decrease it; what role, if any, does empathy play in determining individual differences in musical preference, perception, and performance; or, how do these psychological underpinnings help explain the musical experiences of people with autism spectrum conditions (ASC). To address these questions we employ the Empathizing-Systemizing (E-S) theory as a fruitful framework in which to understand these music-related phenomena. Specifically, we explore how individual differences in musical preference, perception, and performance can be explained by E-S theory. We provide examples from open-ended descriptions of strong musical experiences to demonstrate the ways in which empathy and music inter-relate. Importantly, we discuss the implications for the study of autism, and for how music therapists and clinicians can use music as a tool in their work with individuals diagnosed with ASC.
Short-Term Wind Power Forecasting Using Artificial Neural Networks for Resource Scheduling in Microgrids

Use of wind power as one of renewable resources of energy has been growing quickly all over the world. Wind power generation is significantly vacillating due to the wind speed alteration. Therefore, assessment of the output power of this type of generators is always associated with some uncertainties. A precise wind power prediction aims to support the operation of large power systems or microgrids in the scope of the intraday resources scheduling model, namely with a time horizon of 5-10 minutes, and this can efficiently uphold transmission and distribution system operators to improve the power network control and management. A Shortterm ANN based wind power prediction model, for day-ahead energy management and scheduling in microgrids, is developed utilizing a real database of 12 months with 10 minutes time interval data from measured information of online supervisory control and data acquisition (SCADA) of Goldwind microgrid wind turbine system (Beijing, China) as well as Numerical Weather Prediction (NWP). The ANN predicted wind power has been compared with the actual power of Goldwind wind turbine system. The predicted wind power has shown acceptable agreement with the actual power output that has been recorded by the SCADA which confirms the robustness and accuracy of the ANN wind power forecasting model developed in this research paper.
The Creative Capital of Cities: Interactive Knowledge Creation and the Urbanization Economies of Innovation

Description: The Creative Capital of Cities challenges the new urban growth concepts of creative industries from a critical urban theory perspective. The author presents both technological creativity in knowledge–intensive industries and artistical creativity in the cultural economy sector in the analysis of the creative capital of cities . Krätke develops a transdisciplinary approach to the analysis of creativity and knowledge generation in an urban context by combining perspectives of economic geography, regional research, and socio–cultural urban studies. Providing deep insights backed up by rigorous empirical analysis, The Creative Capital of Cities reveals the complex relational dimensions of creativity while offering an alternate path to the assessment of urban economic success.
Asymptotic Slow-Scale Stability Boundary of PFC AC–DC Power Converters: Theoretical Prediction and Experimental Validation

A unified approach for the stability analysis of both preregulator and two-stage power factor correction (PFC) ac-dc converters is presented. Practical and accurate analytical expressions for the stability boundary are obtained by studying the dynamics of the first harmonic component. The resulting model of this dynamics has an equilibrium point at the origin of the harmonic state space. In the case of a stable equilibrium point, the first-order component converges to zero, and the system oscillates at twice the line frequency. If the equilibrium point loses stability, another equilibrium point depending on high-order harmonics will be reached while the real system will exhibit a period-doubling phenomenon leading to subharmonic oscillations. It is demonstrated that the stability boundaries depend on the power level. Numerical simulations and experimental results in both a preregulator and a complete two-stage PFC converter validate the approach.
Supply Chain Visibility: From Theory to Practice

Contents: Preface Part 1 Supply Chain Visibility in Theory: The history and definition of supply chain visibility A novel framework: definition, prerequisites, and scorecarding. Part 2 Supply Chain Visibility in Practice: Popular types of visibility Options for acquiring visibility technology Buy or rent: software vendors for supply chain visibility Build it yourself. in-house visibility software Borrowing supply chain visibility Important technological trends Conclusion Appendixes Works cited Index.
Distributed Model Predictive Control of load frequency of power network

This paper deals with control of smart grid by using distributed Model Predictive Control to control the load frequency of the power network. The control objective is to minimize the cost function while still keeping the frequency deviation constrained to a safe level. Some different control structures are proposed and control law and constraints are derived. Lastly we show the effectiveness of the different controllers by using a large scale power network simulation.
Do sex differences in rumination explain sex differences in depression?

It is generally accepted that women tend to ruminate more than men do and these thought patterns are often associated with depressive symptoms (Nolen‐Hoeksema et al., ). Based on these findings, we considered whether the relationship between rumination and depression is stronger in women than in men and if so, whether this might explain the higher prevalence of major depressive disorder (MDD) in women and finally, whether the association can be disrupted through a mind/body intervention. Adult men and women, most of whom were clinically depressed, participated in an intervention known as MAP Training, which combines “mental” training with silent meditation and “physical” training with aerobic exercise (Shors et al., ). After eight weeks of training, both men and women reported significantly fewer symptoms of depression and fewer ruminative thoughts (Alderman et al., ). Statistical correlations between depressive symptoms and ruminative thoughts were strong and significant (rho > 0.50; p < 0.05) for both men and women before and after MAP Training. However, only in women did depressive symptoms relate to “reflective” ruminations, which involve analyses of past events, feelings, and behaviors. This is also the only relationship that dissipated after the intervention. In general, these analyses suggest that the strength of the relationship between depressive symptoms and rumination does not necessarily explain sex differences in depression; but because the relationship is strong, targeting rumination through intervention can reduce the incidence of MDD, which is more prevalent among women. © 2016 Wiley Periodicals, Inc.
Towards convenient management of software clone codes in practice: an integrated approach

Software code cloning is inevitable during software development and unmanaged cloning practice can create substantial problems for software maintenance and evolution. Current research in the area software clones includes, but is not limited to: finding ways to manage clones; gaining more control over clone generation; and, studying clone evolution and its effects on the evolution of software. In this study, we investigate tools and techniques for detecting, managing, and understanding the evolution of clones, as well as design a convenient tool to make those techniques available to a developer's software development environment. Towards the goal of promoting the practical use of code clone research and to provide better support for managing clones in software systems, we first developed SimEclipse: a clone-aware software development platform, and then, using the tool, we performed a study to investigate the usefulness of using a number clone based technologies in an integrated platform rather than using those discretely. Finally, a small scale user study is performed to evaluate SimEclipse's effectiveness, usability and information management with respect to some pre-defined clone management activities. We believe that both researchers and developers would enjoy and utilize the benefits of using SimEclipse for different aspects of code clone research as well as for managing cloned code in software systems.
Facebook Advertisements : - What happens with the sender's intended message?

Background: Advertisements create metaphors in the consumers’ mind, which are interpretedby using their advertising knowledge, including expectations of positive messages and theawareness of different advertising formats. Advertising affects how and what consumers thinkabout a company. For online advertising, Facebook is a widely used tool by marketers toestablish and enhance the brand image, use the network for market research, target theiradvertising and create Facebook groups or pages for the company.Purpose: The purpose of this research is to explore what happens when the sender’s intendedmessage of online advertisements is interpreted by the consumers.Research Question: How do senders and receivers interpret a particular message in an onlineadvertisement context? Conclusion: The researchers have in this research found that not having a visible trademarkthroughout the whole communication process may result in losing part of the message when itis received by consumers. On Facebook, the initial sender can no longer control who receivetheir message and whom it will reach and hence, the brand can be lost. Consumers interpret amessage differently because of where it is sent from on Facebook, if the message is coming from the company or friends it will affect their perceptions of the advertisement’s message.
A model based factorization approach for dense 3D recovery from monocular video

Feature track matrix factorization based methods have been attractive solutions to the structure-from-motion (Sfm) problem. Group motion of the feature points is analyzed to get the 3D information. It is well known that the factorization formulations give rise to rank deficient system of equations. Even when enough constraints exist, the extracted models are sparse due the unavailability of pixel level tracks. Pixel level tracking of 3D surfaces is a difficult problem, particularly when the surface has very little texture as in a human face. Only sparsely located feature points can be tracked and tracking errors are inevitable along rotating low texture surfaces. However, the 3D models of an object class lie in a subspace of the set of all possible 3D models. We propose a novel solution to the structure-from-motion problem which utilizes the high-resolution 3D obtained from range scanner to compute a basis for this desired subspace. Adding subspace constraints during factorization also facilitates removal of tracking noise which causes distortions outside the subspace. We demonstrate the effectiveness of our formulation by extracting dense 3D structure of a human face and comparing it with a well known structure-from-motion algorithm due to brand.
One Hundred Fifty Years of Change in Forest Bird Breeding Habitat: Estimates of Species Distributions

Abstract: Evaluating bird population trends requires baseline data. In North America the earliest population data available are those from the late 1960s. Forest conditions in the northern Great Lake states (U.S.A.), however, have undergone succession since the region was originally cut over around the turn of the twentieth century, and it is expected that bird populations have undergone concomitant change. We propose pre‐Euro‐American settlement as an alternative baseline for assessing changes in bird populations. We evaluated the amount, quality, and distribution of breeding bird habitat during the mid‐1800s and early 1990s for three forest birds: the Pine Warbler (Dendroica pinus), Blackburnian Warbler (D. fusca), and Black‐throated Green Warbler (D. virens). We constructed models of bird and habitat relationships based on literature review and regional data sets of bird abundance and applied these models to widely available vegetation data. Original public‐land survey records represented historical habitat conditions, and a combination of forest inventory and national land‐cover data represented current conditions. We assessed model robustness by comparing current habitat distribution to actual breeding bird locations from the Wisconsin Breeding Bird Atlas. The model showed little change in the overall amount of Pine Warbler habitat, whereas both the Blackburnian Warber and the Black‐throated Green Warbler have experienced substantial habitat losses. For the species we examined, habitat quality has degraded since presettlement and the spatial distribution of habitat shifted among ecoregions, with range expansion accompanying forest incursion into previously open habitats or the replacement of native forests with pine plantations. Sources of habitat loss and degradation include loss of conifers and loss of large trees. Using widely available data sources in a habitat suitability model framework, our method provides a long‐term analysis of change in bird habitat and a presettlement baseline for assessing current conservation priority.