Miracle-dz/UniFAR-FTUs huggingface dataset:
STEREOTYPES THAT REFLECT GENDER IDENTITY AND SEXUAL ORIENTATION EXPRESSED BY HIGH SCHOOL FRESHMAN STUDENTS)

This article presents the results of a pilot study that aimed to raise emerging stereotypes in the speech of 18 high school freshman students in a regular school from Belo Horizonte MG. The respondents were shown 33 images classified in five categories: (1) heterosexual and homosexual families, (2) gender roles in society, (3) affectivesexual gender orientation, (4) gender expressions, and (5) social behavior of genders. By filling in a table, the respondents registered their impressions on each image. Based on Queer Theory, it was verified that the prevailing view reflects the hetero-normative pattern of human relations despite dealing with the multiplicity of identities and expressions of genders, these students judge and act with prejudice. It seems necessary that the school confronts openly issues related to identity and sexual orientation to effectively fulfill its social role.
A GPU Massivelly Parallel FIPA Architecture

The dynamic nature and common use of agents and agent paradigm motives the investigation on standardization of multi-agent systems (MAS). The main property of a MAS is to allow the sub-problems related to a constraint satisfaction issues to be subcontracted to different problem solving agents with their own interests and goals, being FIPA one of the most commonly collection of standards used nowadays. When dealing with a huge set of agents for real time applications, such as games and virtual reality solutions, it is hard to compute a massive crowd of agents due the computational restrictions in CPU. With the advent of parallel GPU architectures and the possibility to run general algorithms inside it, it became possible to model such massive applications. In this work we propose a novel standardization of agent applications based on FIPA using GPU architectures, making possible the modelling of more complex crowd behaviours.
The role of comparison in the extension of novel adjectives.

Previous reseach has documented that basic-level object categories provide an initial foundation for mapping adjectives to object properties. Children ranging from 21 months to 3 years can successfully extend a novel adjective (e.g., transparent) to other objects sharing a salient property if the objects are all members of the same basic-level category; if the objects are members of different basic-level categories, they fail to extend adjectives systematically (R. S. Klibanoff & S. R. Waxman, 2000a; S. R. Waxman & D. B. Markow, 1998). The present study proposed that the process of comparison is instrumental in children's ability to move beyond this foundation. To promote comparison, 2 target objects were introduced to 3-year-olds. In Experiment 1, the targets had contrastive properties (e.g., 1 transparent and 1 opaque object); in Experiment 2, the targets had consistent properties (e.g., 2 transparent objects). The results of both experiments illustrate that comparison--a general psychological process--operates in conjunction with naming to support the extension of novel adjectives to properties of objects from diverse basic-level categories.
Hierarchical Sequence Clustering Algorithm for Data Mining

- Bioinformatics emerged as a challenging new area of research and brought forth numerous computational problems. Here computers are used to gather, store, analyze and merge biological data. In this paper, the problem of clustering interval-scaled data and sequence data is analyzed in a new approach using Hierarchical Sequence Clustering. In Sequence clustering, it is necessary to find the similarity or distance between each pair of sequences. To find the similarity between sequences the data structure Probabilistic Suffix Tree can be used. An agglomerative algorithm is introduced based on UPGMA (Un weighted Pair wise Group Average Method) cluster analysis, that required O(n 3 ) of total computing time. Then a new algorithm using the new approach is introduced with O(n 2 ) computing time. The result of this new algorithm is compared with UPGMA cluster analysis.
A Brief Survey of Bandwidth Selection for Density Estimation

Abstract There has been major progress in recent years in data-based bandwidth selection for kernel density estimation. Some “second generation” methods, including plug-in and smoothed bootstrap techniques, have been developed that are far superior to well-known “first generation” methods, such as rules of thumb, least squares cross-validation, and biased cross-validation. We recommend a “solve-the-equation” plug-in bandwidth selector as being most reliable in terms of overall performance. This article is intended to provide easy accessibility to the main ideas for nonexperts.
Navigating the Patent Thicket: Cross Licenses, Patent Pools, and Standard Setting

In several key industries, including semiconductors, biotechnology, computer software, and the Internet, our patent system is creating a patent thicket: an overlapping set of patent rights requiring that those seeking to commercialize new technology obtain licenses from multiple patentees. The patent thicket is especially thorny when combined with the risk of holdup, namely the danger that new products will inadvertently infringe on patents issued after these products were designed. The need to navigate the patent thicket and holdup is especially pronounced in industries such as telecommunications and computing in which formal standard setting is a core part of bringing new technologies to market. Cross licenses and patent pools are two natural and effective methods used by market participants to cut through the patent thicket, but each involves some transaction costs. Antitrust law and enforcement, with its historical hostility to cooperation among horizontal rivals, can easily add to these transaction costs. Yet a few relatively simple principles, such as the desirability package licensing for complementary patents but not for substitute patents, can go a long way toward insuring that antitrust will help solve the problems caused by the patent thicket and by holdup rather than exacerbating them.
Effective supergravity actions for conifold transitions

We construct gauged supergravity actions which describe the dynamics of M-theory on a Calabi-Yau threefold in the vicinity of a conifold transition. The actions explicitly include N charged hypermultiplets descending from wrapped M2-branes which become massless at the conifold point. While the vector multiplet sector can be treated exactly, we approximate the hypermultiplet sector by the non-compact Wolf spaces X(1+N). The effective action is then uniquely determined by the charges of the wrapped M2-branes.
Predictive utility of the Framingham general cardiovascular disease risk profile for cognitive function: evidence from the Whitehall II study

Aims Vascular risk factors are associated with cognitive impairment and dementia, although most of the research in this domain focuses on cerebrovascular factors. We examined the relationship between the recently developed Framingham general cardiovascular risk profile and cognitive function and 10-year decline in late midlife. Methods and results Study sample comprised of 3486 men and 1341 women, mean age 55 years [standard deviation (SD)=6], from the Whitehall II study, a longitudinal British cohort study. The Framingham General Cardiovascular Risk profile, assessed between 1997 and 1999, included age, sex, HDL cholesterol, total cholesterol, systolic blood pressure, smoking status, and diabetes status. Measures of cognitive function consisted of tests of reasoning (Alice Heim 4-I), memory, phonemic and semantic fluency, and vocabulary (Mill-Hill), assessed three times (1997–1999, 2002–2004, 2007–2009) over 10 years. In cross-sectional age-adjusted models, 10% point increments in cardiovascular risk were associated with poor performance in all cognitive domains in both men and women (all P-values <0.001). In models adjusted for age, ethnicity, marital status, and education, 10% higher cardiovascular risk was associated with greater overall 10-year cognitive decline in men, reasoning in particular (−0.47; 95% CI: −0.81, −0.11). Conclusion In middle-aged individuals free of cardiovascular disease, an adverse cardiovascular risk profile is associated with poor cognitive function, and decline in at least one cognitive domain in men.
Firm demography and location decisions in the United States after 1990

Scott, Francisco A. MS, Purdue University, August 2016. Firm Demography and Location Decisions in the United States after 1990. Major Professor: Raymond J.G. M. Florax. This thesis deals with firm formation and location choice of firms in the manufacturing (and commercial service) sector in the United States after 1990. The topics of firm formation and location choice are part of a wider field that is usually referred to as “firm demography. ” We start off with a description of the size structure of firms by looking at the evolution of the average size of manufacturing firms in counties in the USA between 1990 and 2011. We hypothesize that the size of manufacturing firms depends on the firm sizes in proximate regions as well as on the region’s own average firm size in previous years. Three Markov chain models are proposed to test this hypothesis, a first-order process, a second-order process and a spatially lagged Markov chain models. By means of Likelihood Ratio tests we show that the firstorder Markov chain does not suffice to describe average firm size. We recommend the use of more elaborate space-time modeling to explain the distribution of firm sizes across counties in the US. Exploratory space-time regressions confirm the relevance of spatio-temporal processes in the evolution of average size of manufacturing firms in the US. The analysis of the second topic is concerned with the location choice of firms, in particular of new firms (or start-ups). We address the question whether the location choice of start-ups over their life cycle follows a theoretical framework that is known as the “nursery city hypothesis. ” This hypothesis suggests that firms are initially best located in highly diversified cities, because in their process of innovation towards finding their ideal product specification they benefit substantially from externalities
CONTENT BASED IMAGE RETRIEVAL - EXTRACTION BY OBJECTS OF USER INTEREST

Content-based image retrieval (CBIR) systems normally return the retrieval results according to the similarity between features extracted from the query and candidate images. In certain circumstances, however users are most qualified to specify the query “content” or objects(e.g., Eiffel Tower) of their interest , not the computer and only wish to retrieve images containing relevant objects, while ignoring irrelevant image areas (such as the background). Previous work on this normally requires complicated segmentation of the object from the background. In this paper, the user can select “object of user’s interest” of different shapes, non homogenous texture containing different colors regardless of many objects present in the same image using varied tools like polygonal, rectangle, circle selector tools. A twostate procedure is used to query the image from the Image database. First, we integrate global color and texture feature vectors to narrow down the search space and in next state we Process using local features. We use color moments and subband statistics of wavelet decomposition as color and texture features respectively. The shape features, generated by mathematical morphology operators, are further employed to produce the final retrieval results.
ELECTRON MICROSCOPY IN THE CONTEXT OF STRUCTURAL SYSTEMS BIOLOGY

As modern molecular biology moves from single molecules toward more complex multimolecular machines, the need for structural information about these assemblies grows. Nuclear magnetic resonance (NMR) spectroscopy (see Chapter 5) and X-ray crystallography (see Chapter 4) are well-established approaches for obtaining atomic structures of biological macromolecules, but it has become increasingly clear that the structures of individual components of assemblies can only be a first step to understanding a biological phenomenon. Based on the analysis of genome sequences, it was suggested that life depends on about 200–300 core biological processes (Martin andDrubin, 2003). Each of these processes involvesmultiple proteins, often organized into large heterogeneous assemblies,with awide range of morphologies and complexity. The ‘‘parts list’’ that has emerged from the genome project and from structural genomics is far from a ‘‘wiring diagram’’ that we need to understand these processes. Detailed knowledge of the parts of a system usually provides only limited insight into the dynamics and function of the system as a whole. A complete understanding requires not only knowledge of the transient and steady-state structures at near-atomic details; it also requires knowledge of structural pathways and ligand interactions in a cellular context. Due to dramatic improvements in experimentalmethods and computational techniques, electron microscopy has matured into a powerful and diverse collection of methods that allow the visualization of the structure and the dynamics of an extraordinary range of biological assemblies at resolution spanning frommolecular (about 2–3 nm) to near atomic
Lethality Assessment Protocol

This exploratory, qualitative research study examined the attitudes and barriers police officers identified in successful implementation of the lethality assessment protocol (LAP), a collaborative intervention between police departments and domestic violence advocacy agencies in the state of Connecticut. Focus groups were conducted at three police departments to ascertain officers’ perceptions of the LAP. Officers (N = 22) were recruited through an individual contact at each department. Responses to focus group questions indicated both system-wide and individual police department barriers. Results showed officers generally support the protocol and believe it has beneficial intent and purpose. Obstructions identified include timing of the implementation, lack of victim cooperation, and agency culture. Implementation barriers and officers’ attitudes are discussed.
Regulation of cytoplasmic stress granules by apoptosis-inducing factor

Stress granules (SG) are dynamic cytoplasmic foci in which stalled translation initiation complexes accumulate. In conditions of acute cellular redox, stress cells manipulated to lose the expression of apoptosis-inducing factor (AIF) nucleate SG signature proteins (e.g. TIA-1, PABP1) more efficiently than AIF-positive controls. AIF also inhibited SG formation induced by the RasGAP-associated endoribonuclease G3BP. Retransfection of mouse AIF into cells subjected to human AIF-specific siRNA revealed that only AIF imported into mitochondria could repress SGs and that redox-active domains of AIF, which are dispensable for its apoptogenic action, were required for SG inhibition. In response to oxidative stress, AIF-negative cells were found to deplete non-oxidized glutathione more rapidly than AIF-expressing cells. Exogenous supplementation of glutathione inhibited SG formation elicited by arsenate or G3BP. Together, these data suggest that the oxidoreductase function of AIF is required for the maintenance of glutathione levels in stress conditions and that glutathione is a major regulator of SG.
Opportunistic schedulers for optimal scheduling of flows in wireless systems with ARQ feedback

In this paper we study three opportunistic schedulers for the problem of optimal multi-class flow-level scheduling in wireless downlink and uplink systems. For user channels we employ the Gilbert-Elliot model of good and bad channel condition with flow-level interpretation, and assume an automatic repeat query (ARQ) feedback, so that channel state information is available at the end of the slot only if the user was scheduled. The problem is essentially a Partially-Observable Markov Decision Process with a sample-path resource constraint. Given its complexity, we study two naïve schedulers: the myopic rule and the belief-state rule. Further, realizing that the problem fits the multi-armed restless bandit framework, we consider the relaxation of the problem which instead of serving a given number of flows on sample-path allows for serving that number of flows only in expectation, and derive an optimal Whittle index policy in closed form. We further discuss the interpretation of the resulting novel Whittle-index-based heuristic scheduler and evaluate its performance against the two naïve schedulers in simulations under the time-average criterion. According to the Whittle-index-based scheduler, the users whose last channel feedback gave good condition and those not served yet receive an absolute priority over those whose last channel feedback gave bad condition, which extends to this setting the property of channel-aware schedulers that are known to be maximally stable. In addition, we obtain tie-breaking index values for setting priorities among users in each of the two groups. In case of a single user class, the scheduler becomes independent of the problem parameters and equivalent to both the myopic and belief-state scheduler, and has a simple universal structure which can be represented by three first-in-first-out priority lists.
Debugging Distributed Computations by Reverse Search

We develop a memory-e cient o -line algorithm for the enumeration of global states of a distributed computation. The algorithm allows the parameterization of its memory requirements against the running time. This is particularly useful for debugging of memory-intensive parallel computations, e.g. in image processing or data warehousing. We also show how to apply our technique to evaluate in a memory-e cient way the predicate De nitely( ) de ned by Cooper, Marzullo and Neiger [8, 14]. The basis for these algorithms is Reverse Search [2], a paradigm successfully applied for enumeration of a variety of geometric objects.
Improving Speaking Fluency in a Task-Based Language Teaching Approach: The Case of EFL Learners at PUNIV-Cazenga

This study was an attempt to assess how learners of English as a foreign language (EFL) improved their speaking fluency in a task-based language teaching (TBLT) approach used with ninth-grade learners at PUNIV-Cazenga, a high school in Luanda. In a case study design that used picture-description tasks, learners’ speeches were audio recorded before and after the teaching, in which recasts and prompts were utilized as feedback tools for 8 weeks. The findings indicated that learners improved in terms of their speaking fluency by maximizing their speed of speech production, increasing grammatical accuracy, elaborating on their utterances, and developing interactional language. Furthermore, learners’ opinions on being taught with the TBLT approach were sought, and the findings indicated that the learners felt encouraged to speak, believed in their potentials to use the target language, expanded their vocabulary, and recognized the relevance of the TBLT approach. The implications of the findings are discussed for teaching practice and future research.
Project Scheduling: Improved Approach to Incorporate Uncertainty Using Bayesian Networks

Project scheduling inevitably involves uncertainty. The basic inputs (i.e., time, cost, and resources for each activity) are not deterministic and are affected by various sources of uncertainty. Moreover, there is a causal relationship between these uncertainty sources and project parameters; this causality is not modeled in current state-of-the-art project planning techniques (such as simulation techniques). This paper introduces an approach, using Bayesian network modeling, that addresses both uncertainty and causality in project scheduling. Bayesian networks have been widely used in a range of decision-support applications, but the application to project management is novel. The model presented empowers the traditional critical path method (CPM) to handle uncertainty and also provides explanatory analysis to elicit, represent, and manage different sources of uncertainty in project planning.
Bounce effect seen in opposite motions

Kanizsa's (1979) ostrich appeared as if he were dancing in a very curious fashion. His legs actually passed one another but they seemed to be bouncing back to their original end point. The bounce effect appeared also in the opposite motions of rotating disks. At the meeting on a circular path, they were not seen passing one another but bouncing off; one of them was seen remaining throughout on one side and the other remaining throughout on the opposite side. The smaller th difference between the speeds of colliding objects, the more often the bounce effect was seen. When the moving disks were moved at very high speeds, they always showed the bounce effect at each meeting, The bounce effect was more frequently perceived in binocular vision than in monocular, and in the brightly lit surroundings than in the dark ones. The factors of symmetry and smoothness determining the bounce effect seen in opposite motions were discussed.
Primär prevention av psykisk ohälsa bland barn och ungdom genom social/emotionell träning i skolan

Sammanfattning Syftet med SET-projektet i Botkyrka är att pröva i vilken utsträckning ett systematiskt, långvarigt arbete med social/emotionell träning (SET) i skolan kan minska psykisk ohälsa och missanpassning i skolan (våld, mobbing, skolk, kamratproblem m.m.). SET-programmet omfattar strukturerade elevövningar för att träna självkännedom, empati, hantering av känslor, motivation samt social kompetens. Projektet pågår under tre skolår i årskurserna 0–9 i två skolar i Botkyrka kommun. Programmet omfattar också utbildning av och handledning av lärare och annan personal samt information till och motivation av föräldrar. Läsåret innan programmet påbörjades gjordes en baslinjemätning och därefter görs årliga mätningar med elevernas självrapportering, läraroch skolledarrapporter. Dessutom studeras 30 slumpvis utvalda elever med särskilda personliga intervjuer samt föräldra- och lärarintervjuer. Klasser i två andra skolar i Botkyrka som står helt utanför programmet fungerar som jämfärelser.
Radiation-induced signaling pathways that promote cancer cell survival (Review)

Radiation therapy is a staple cancer treatment approach that has significantly improved local disease control and the overall survival of cancer patients. However, its efficacy is still limited by the development of radiation resistance and the presence of residual disease after therapy that leads to cancer recurrence. Radiation impedes cancer cell growth by inducing cytotoxicity, mainly caused by DNA damage. However, radiation can also simultaneously induce multiple pro-survival signaling pathways, such as those mediated by AKT, ERK and ATM/ATR, which can lead to suppression of apoptosis, induction of cell cycle arrest and/or initiation of DNA repair. These signaling pathways act conjointly to reduce the magnitude of radiation-induced cytotoxicity and promote the development of radioresistance in cancer cells. Thus, targeting these pro-survival pathways has great potential for the radiosensitization of cancer cells. In the present review, we summarize the current literature on how these radiation-activated signaling pathways promote cancer cell survival.