Miracle-dz/UniFAR-FTUs huggingface dataset:
Formação e autonomia do professor universitário: um estudo na Universidade Federal de Goiás

ABSTRACT This research focuses on the formation and autonomy of the university professor. A critique of reason has been presented as a requirement for the formation of a truly autonomous individual. Psychological and educational perspectives were the basis for this paper. The Federal University of Goias was used as the empirical research field in which the formation of its professors and the possibilities for autonomy in their everyday relations within this institution were investigated. The central hypothesis, which has been formulated is that in Federal Universities the objective day-to-day working conditions of the professor affect their performance, their teaching activities, their autonomy, their awareness and self-criticism. These conditions often represent one more obstacle for the expression of the professors individuality and consequently of his autonomy, even that which is formally admitted. These objective working conditions interfere in such a way that they frequently cause professors to develop behavioral patterns of acceptance, resignation, apathy and adjustment when faced with these day-day-day situations. A questionnaire was used to collect the information essential for the objectives and verification of the hypotheses in the research. The information collected from the questionnaires underwent both a statistical analysis using the SPSS program, and an analysis of content. The critical theory of society, developed by Horkheimer, Adorno e Marcuse, is the theoretical support for the paper. An attempt was made to check out the influence of the changes taking place in Brazilian Federal Universities and the objective working conditions of these professors, partly resultant from official educational policies. The sample is made up of 419 permanent professors at the Federal University of Goias. All have doctorates and full time contracts and are working in undergraduate departments. For this sample only 56 professors took part in the research. The results would suggest that, when faced with such a situation, the objective working conditions interfere to such an extent that they have led university professors to develop behavioral patterns of acceptance, resignation, apathy and adaptation to the detriment of reflection, interest in new experiences and criticism of these same conditions. An increase in the burocratization of teaching activities, including what they consider to be the core of university teaching, research and extension, is closely connected to a kind of productivity demanded of professors. This has also been characterized as an obstacle to the freedom and emancipation, therefore, to the autonomy of professors. %%%%RESUMO Esta investigacao centrou-se na formacao e na autonomia do professor universitario. A critica da razao e apresentada como exigencia para a formacao do individuo verdadeiramente autonomo. A psicologia e a educacao foram as perspectivas que nortearam este trabalho; a Universidade Federal de Goias (UFG), o campo da pesquisa empirica na qual investigou-se a formacao de seus…
A Qualitative Analysis of Task Structures in Required Secondary Physical Education Classes

T h e pu rpose o f t h i s s t u d y was t o analyze t h e s t r u c t u r e o f t asks i n r e q u i r e d p h y s i cal educat ion classes. T a s k s t r u c t u r e s can b e de f i ned as t h e pa t te rns f o r o rgan i z ing and implement ing sub jec t mat ter and non sub jec t ma t te r ac t iv i t ies . T h e basic idea f o r t h i s s t u d y came f rom t h e w o r k o f Walter Doy le (1979a), who developed a model t o s t u d y classroom l i f e wh ich emphasized t h e complex n a t u r e o f teach ing. Doy le def ined teach ing as a con t i nu ing task o f ga in ing and main ta in ing t h e cooperat ion o f s tudents i n ac t iv i t ies t h a t fill t h e avai lable t ime. T h e basic assumpt ion o f t h e task model was t h a t t ask accomplishment can b e v iewed as an i n t e r v e n i n g process var iab le wh ich l i nks teach ing behav io r and s tuden t achievement. Doy le suggested t h a t an ecological approach t o inves t iga te how cooperat ion is establ ished between teacher and s tudents wou ld cons t i t u te a su i tab le way t o come t o a r i c h e r unde rs tand ing o f t h e teach ingl ea rn ing process. Doyle (Note 1) completed an ex tens i ve rev iew o f l i t e r a t u r e re la ted t o t ask accomp l ishment i n educat ion, conc lud ing t h a t t h e c o n s t r u c t o f t a s k s t r u c t u r e holds promise as a focus f o r i nves t i ga t i ng teach ing e f fec ts . I n phys i ca l education, a f ew s tud ies inves t iga ted some aspects o f t ask s t r u c t u r e s (Pieron & Devi l lers, 1980; Morgenegg, 1978), however n o s tud ies focused p r i m a r i l y o n t a s k s t r u c t u r e s . Nevertheless,. t h e w o r k done b y Doyle (Note 2) and C a r t e r (1980) i n language a r t s pe rm i t t ed t h e i den t i f i ca t ion o f several research quest ions and t h e development o f a da ta -ga the r i ng s t r a t e g y wh ich appeared usefu l f o r ana lyz ing t a s k s t r u c t u r e s i n phys ica l educat ion sett i n g s . T h e p resen t a r t i c l e i s based o n a s t u d y wh ich app l ied Doyle's model t o inves t iga t i n g t a s k s t r u c t u r e s and task accomplishment i n r e q u i r e d secondary phys ica l educat ion classes (Tous ignant , 1982). I n t h i s paper, we elected t o p resen t resu l t s re la ted t o t h e fo l l ow ing research goals:
Lipid Domain Structure of the Plasma Membrane Revealed by Patching of Membrane Components

Lateral assemblies of glycolipids and cholesterol, “rafts,” have been implicated to play a role in cellular processes like membrane sorting, signal transduction, and cell adhesion. We studied the structure of raft domains in the plasma membrane of non-polarized cells. Overexpressed plasma membrane markers were evenly distributed in the plasma membrane. We compared the patching behavior of pairs of raft markers (defined by insolubility in Triton X-100) with pairs of raft/non-raft markers. For this purpose we cross-linked glycosyl-phosphatidylinositol (GPI)-anchored proteins placental alkaline phosphatase (PLAP), Thy-1, influenza virus hemagglutinin (HA), and the raft lipid ganglioside GM1 using antibodies and/or cholera toxin. The patches of these raft markers overlapped extensively in BHK cells as well as in Jurkat T–lymphoma cells. Importantly, patches of GPI-anchored PLAP accumulated src-like protein tyrosine kinase fyn, which is thought to be anchored in the cytoplasmic leaflet of raft domains. In contrast patched raft components and patches of transferrin receptor as a non-raft marker were sharply separated. Taken together, our data strongly suggest that coalescence of cross-linked raft elements is mediated by their common lipid environments, whereas separation of raft and non-raft patches is caused by the immiscibility of different lipid phases. This view is supported by the finding that cholesterol depletion abrogated segregation. Our results are consistent with the view that raft domains in the plasma membrane of non-polarized cells are normally small and highly dispersed but that raft size can be modulated by oligomerization of raft components.
Survey On A Hybrid Approach For Web Usage Mining

With the large number of companies using the Internet to distribute and collect information, knowledge discovery on the web or web mining has become an important research area. Basically data mining techniques are used in web mining. Web mining is extended version of data mining. Data mining is work upon Off Line whereas Web mining is work upon On-Line. In data mining data is stored in (database) data warehouse and in web mining data is stored in server database & web log. The expansion of the World Wide Web (Web for short) has resulted in a large amount of data that is now in general freely available for user access. The different types of data have to be managed and organized in such a way that they can be accessed by different users efficiently. Therefore, the application of data mining techniques on the Web is now the focus of an increasing number of researchers. Several data mining methods are used to discover the hidden information in the Web. However, Web mining does not only mean applying data mining techniques to the data stored in the Web. The algorithms have to be modified such that they better suit the demands of the Web. Web mining can be divided into three areas, namely web content mining, web structure mining and web usage mining (also called web log mining). Web content mining focuses on discovery of information stored on the Internet, i.e., the various search engines. Web content mining is the process of extracting useful information from the contents of web documents. Content data is the collection of facts a web page is designed to contain. It may consist of text, images, audio, video, or structured records such as lists and tables. Application of text mining to web content has been the most widely researched. Issues addressed in text mining include topic discovery and tracking, extracting association patterns, clustering of web documents and classification of web pages. Research activities on this topic have drawn heavily on techniques developed in other disciplines such as Information Retrieval (IR) and Natural Language Processing (NLP). While there exists a significant body of work in extracting knowledge from images in the fields of image processing and computer vision, the application of these techniques to web content mining has been limited. Web structure mining can be used when improving the structural design of a website. The structure of a typical web graph consists of web pages as nodes, and hyperlinks as edges connecting related pages. Web structure mining is the process of discovering structure information from the web. This can be further divided into two kinds based on the kind of structure information used.
EXTREME SELECTION ON SIZE IN THE EARLY LIVES OF FISH

Although fitness typically increases with body size and selection gradients on size are generally positive, much of this information comes from terrestrial taxa. In the early life history of fish, there is evidence of selection both for and against larger size, leaving open the question of whether the general pattern for terrestrial taxa is valid for fish. We reviewed studies of size‐dependent survival in the early life history of fish and obtained estimates of standardized selection differentials from 40 studies. We found that 77% of estimated selection differentials favored larger size and that the strength of selection was more than five times that seen in terrestrial taxa. Selection decreased with study period duration and initial length, and disruptive selection occurred significantly more frequently than stabilizing selection. Contrary to expectations from Bergmann's rule, selection on size did not increase with latitude.
One Rank Cuckoo Search Algorithm with Application to Algorithmic Trading Systems Optimization

uckoo search is a nature-inspired metaheuristic algorithm, based on the brood parasitism of some cuckoo species, along with Levy flights random walks. In this paper, a modified version is proposed, where the new solutions generated from the exploration and exploitation phases are combined, evaluated and ranked together, rather than separately in the original algorithm, in addition to imposing a bound by best solutions mechanism to help improve convergence rate and performance. The proposed algorithm was tested on a set of ten standard benchmark functions, and applied to a real-world problem of algorithmic trading systems optimization in the financial markets. Experimental analysis demonstrated improved performance in almost all benchmark functions and the problem under study.
A Cautionary Note on the Use of Nested PCR for Parasite Screening—An Example From Avian Blood Parasites

The use of new powerful nested polymerase chain reaction (PCR) techniques to identify and screen for prevalence of parasites has a huge potential. It allows for the detection and identification of low-intensity infections, but its high sensitivity and technical setup may also induce problems. Here, we report a cautionary note regarding misleading amplification of avian malaria species (Haemoproteus and Plasmodium) during Leucocytozoon spp. detection. We used a previously described nested PCR method for the molecular detection of avian malaria and Leucocytozoon spp. In the first step of the PCR protocol, these parasites are detected simultaneously; in the second PCR, Haemoproteus and Plasmodium spp. are separated from Leucocytozoon spp. However, in certain cases when a bird was infected with avian malaria, we obtained a slightly longer PCR product during the detection of Leucocytozoon spp. Our data imply that these “false” Leucocytozoon fragments are the consequences of strong amplification of certain malaria lineages in the first PCR, which can also be detected after the second PCR amplification that is specific to Leucocytozoon spp. parasites. Because these “false” Leucocytozoon fragments are slightly longer than the normal Leucocytozoon fragments, we suggest the use of well-separating agarose gels, several positive controls, and molecular standards to facilitate their separation. If one obtains a fragment that differs in length from the one expected for Leucocytozoon spp. , sequencing is essential. More generally, in order to limit this type of problem with nested PCR protocols, we suggest that the first and the second primer pair be chosen so that they have different annealing temperatures.
Training Multilayer Perceptrons with the Extende Kalman Algorithm

A large fraction of recent work in artificial neural nets uses multilayer perceptrons trained with the back-propagation algorithm described by Rumelhart et. al. This algorithm converges slowly for large or complex problems such as speech recognition, where thousands of iterations may be needed for convergence even with small data sets. In this paper, we show that training multilayer perceptrons is an identification problem for a nonlinear dynamic system which can be solved using the Extended Kalman Algorithm. Although computationally complex, the Kalman algorithm usually converges in a few iterations. We describe the algorithm and compare it with back-propagation using two-dimensional examples.
Simvastatin treatment of pulmonary hypertension: an observational case series.

BACKGROUND Statins confer cardiovascular benefits beyond the reduction of serum cholesterol through antiproliferative and antiinflammatory mechanisms and induction of endothelial nitric oxide expression. In pneumonectomized rats injected with monocrotaline, simvastatin reversed established pulmonary hypertension and conferred a 100% survival advantage. STUDY OBJECTIVES To evaluate the safety and efficacy of simvastatin for treatment of patients with pulmonary arterial hypertension (PAH). DESIGN Open-label observational study performed at Stanford University Medical Center. Sixteen patients with primary and secondary causes of PAH, World Health Organization (WHO) classes I (n = 2), II (n = 4), III (n = 3), IV (n = 7), are described. Simvastatin was prescribed at 20 to 80 mg/d and continued in the absence of adverse effects. MEASUREMENTS AND RESULTS Serial measurements of 6-min walk (6MW) performance, hemodynamics, and echocardiographic estimates of right ventricular systolic pressures (RVSPs) were recorded on each patient. Simvastatin treatment was not associated with hepatic dysfunction, muscle necrosis, or other adverse events. Individual patients demonstrated improvements in 6MW performance, improvements in cardiac output, or decreases in RVSP that may be attributable to simvastatin treatment. Overall, the rate of disease progression appeared to be attenuated, and WHO class IV patients demonstrated improved survival. CONCLUSIONS Simvastatin treatment appears safe in patients with PAH.
Synapse‐Specific Gene Expression at the Neuromuscular Junction

Abstract: Agrin is the key neural factor that controls muscle postsynaptic differentiation, including the induction of synapse‐specific transcription via neuregulins. In 1995, the promoter element responsible for the targeting of AChR δ and ε gene transcription to the skeletal muscle subsynaptic area was identified. This element, named N‐box, recruits the Ets‐related transcription factor GABP to AChR δ and ε promoters, and both the N‐box and GABP are required to obtain transcriptional stimulation by neuregulins. The physiological importance of the N‐box has been definitively established with the discovery of myasthenic families carrying single‐point mutations in the N‐box of the AChR ε gene promoter and showing reduced levels of AChR ε subunit expression. The control of synapse‐specific transcription by agrin and neuregulins through the N‐box and GABP is not restricted to the case of AChR genes. The same regulation holds true for the ACh esterase and utrophin genes, thus showing that nerve‐induced transcriptional activation of several synapse‐specific genes is triggered by a common mechanism involving agrin, neuregulins, and ultimately the N‐box and Ets‐related transcription factors.
The Determinants of Network Growth: The Case of Commercial Online Information Networks

With the advent of modern telecommunications capabilities, networks are rapidly becoming a competitive necessity in a wide variety of industries. The literature on networks suggests that networks have characteristics (e.g., network externalities) not shared by many other products or services, and thus traditional explanations of product growth or diffusion may not apply. Because there have been few empirical studies on networks, little is known about how networks grow and compete in the marketplace and the impact of network externalities. Using commercial online information networks as a context, this research examines the determinants of network growth. We find that make effect, usability, and compatibility with the dominant technological architecture are important variables influencing network growth. The results are also weakly supportive of the network externalities hypothesis, i.e., the online services industry exhibits some extent of network externalities.
Strong Ion Regulatory Abilities Enable the Crab Xenograpsus testudinatus to Inhabit Highly Acidified Marine Vent Systems

Hydrothermal vent organisms have evolved physiological adaptations to cope with extreme abiotic conditions including temperature and pH. To date, acid-base regulatory abilities of vent organisms are poorly investigated, although this physiological feature is essential for survival in low pH environments. We report the acid-base regulatory mechanisms of a hydrothermal vent crab, Xenograpsus testudinatus, endemic to highly acidic shallow-water vent habitats with average environment pH-values ranging between 5.4 and 6.6. Within a few hours, X. testudinatus restores extracellular pH (pHe) in response to environmental acidification of pH 6.5 (1.78 kPa pCO2) accompanied by an increase in blood HCO3- levels from 8.8 ± 0.3 to 31 ± 6 mM. Branchial Na+/K+-ATPase (NKA) and V-type H+-ATPase (VHA), the major ion pumps involved in branchial acid-base regulation, showed dynamic increases in response to acidified conditions on the mRNA, protein and activity level. Immunohistochemical analyses demonstrate the presence of NKA in basolateral membranes, whereas the VHA is predominantly localized in cytoplasmic vesicles of branchial epithelial- and pillar-cells. X. testudinatus is closely related to other strong osmo-regulating brachyurans, which is also reflected in the phylogeny of the NKA. Accordingly, our results suggest that the evolution of strong ion regulatory abilities in brachyuran crabs that allowed the occupation of ecological niches in euryhaline, freshwater, and terrestrial habitats are probably also linked to substantial acid-base regulatory abilities. This physiological trait allowed X. testudinatus to successfully inhabit one of the world's most acidic marine environments.
When Will Schools Take Bullying Seriously?

Children who suffer severe, long-lasting injuries at the hands of school bullies have thus far realized little or no hope of recovery at law for the harm done. This article starts by clarifying the definition of what educational researcher mean by “bullying”, its effects, and known strategies for its prevention. Current shortcomings in theories of recovery based on tort claims for negligent supervision and failure to supervise are reviewed. A new theory is proposed in which liability is based on school officials’ failure to take deliberate, research-based action to provide a bullying-free environment; and that schools that do implement research-based reforms in good faith should enjoy a rebuttal presumption of reasonable supervision.
A dynamic threshold approach for skin tone detection in colour images

This paper presents a novel dynamic threshold approach to discriminate skin pixels and non-skin pixels in colour images. Fixed decision boundaries (or fixed threshold) classification approaches are successfully applied to detect human skin tone in colour images. These fixed thresholds mostly failed in two situations as they only search for a certain skin colour range: any non-skin object may be classified as skin if non-skin objects|s colour values belong to fixed threshold range; any true skin may be mistakenly classified as non-skin if the skin colour values do not belong to fixed threshold range. Therefore in this paper, instead of predefined fixed thresholds, novel online learned dynamic thresholds are used to overcome the above drawbacks. The experimental results show that our method is robust in overcoming these drawbacks.
1 CRYSTALLINE COMPUTATION

Discrete lattice systems have had a long and productive history in physics. Examples range from exact theoretical models studied in statistical mechanics to approximate numerical treatments of continuum models. There has, however, been relatively little attention paid to exact lattice models which obey an invertible dynamics: from any state of the dynamical system you can infer the previous state. This kind of microscopic reversibility is an important property of all microscopic physical dynamics. Invertible lattice systems become even more physically realistic if we impose locality of interaction and exact conservation laws. In fact, some invertible and momentum conserving lattice dynamics—in which discrete particles hop between neighboring lattice sites at discrete times—accurately reproduce hydrodynamics in the macroscopic limit. These kinds of discrete systems not only provide an intriguing informationdynamics approach to modeling macroscopic physics, but they may also be supremely practical. Exactly the same properties that make these models physically realistic also make them efficiently realizable. Algorithms that incorporate constraints such as locality of interaction and invertibility can be run on microscopic physical hardware that shares these constraints. Such hardware can, in principle, achieve a higher density and rate of computation than any other kind of computer. Thus it is interesting to construct discrete lattice dynamics which are more physics-like both in order to capture more of the richness of physical dynamics in informational models, and in order to improve our ability to harness physics for computation. In this chapter, we discuss techniques for bringing discrete lattice dynamics closer to physics, and some of the interesting consequences of doing so.
conscious = camera

If the movement is slow, only the face and hands are shown: this is the consciousness of a static person. If the movement becomes more important, the face and hands disappear and the body begins to appear: this is the consciousness of a less distinguishable body in motion. A trailing effect makes each image integrate the “before” and “after” moments, parts of the consciousness of movement. Each consciousness shown leaves a mark on the background, which will very slowly vanish. This represents the memory.