Miracle-dz/UniFAR-FTUs huggingface dataset:
A "masculinização" da produção de leite

The strengthening of social organizations that made it possible for dairy production to become a market-driven activity has brought about deep changes in the sexual division of labour. The sociological analysis of the changes in family-farming intra-household roles shows that cultural traditions, gender-related power gaps, and social contexts that further deepen differences in market access between men and women are the social and cultural foundations of a hierarchy structured according to sex and generation, where women, especially the youngest, occupy greatly disadvantageous positions. With the strengthening of cooperatives, dairy production began to occupy a rather important role in providing resources to the household, yet the control over the activity shifted to men. This was an unexpected outcome of how the organizations conducted the process of modernizing the production and restructuring the markets, which further reinforced male control over the household production and increased the gender gap with regard to access to resources.
Feasibility and Acceptability of a Proposed Infant Feeding Intervention Trial for the Prevention of Type I Diabetes

OBJECTIVE To determine the feasibility of a randomized double-blind controlled trial of an infant formula without intact cow's-milk protein for preventing type I diabetes in high-risk children. RESEARCH DESIGN AND METHODS We surveyed 83 people who either were parents of a child with type I diabetes or were pregnant women with type I diabetes in the ambulatory diabetes and obstetrics clinics in a university hospital. After a written and verbal description of the cow's milk-diabetes hypothesis, participants were asked to sign a sham consent form. A questionnaire designed to explore factors affecting their decision to either sign or not sign the consent form, as well as infant-feeding patterns, was subsequently administered. RESULTS Overall, 69.9% (95% confidence interval, 60.0–79.8%) consented to participation in the proposed randomized trial. The decision to consent was not affected by the degree of belief in the cow's milk-diabetes hypothesis, the child's risk of diabetes, the respondent's demographic data, or infant feeding habits. CONCLUSIONS A randomized feeding intervention study is an acceptable and feasible way to determine whether avoidance of cow's-milk protein during the first 6 months of life prevents type I diabetes in North American children.
The Effects of School Membership on Academic and Behavioral Performance of At-Risk Students.

The purpose of this study was to investigate the relationships between the perceptions of school membership, risk factors, and school outcomes among a sample of alternative school students. The study subjects were 48 7-9 graders who were at high risk for school failure because of their serious and chronic behavioral and academic problems. All subjects had an Individualized Education Plan (IEP). A 25 item school membership questionnaire adapted from existing school membership surveys (Psychological Sense of School Membership (PSSM) Scale, Goodenow, 1993; Identification with School Questionnaire, Voelkl, 1996) was used to assess students’ perceived school membership. The study participants reported a moderately positive school membership score of 3.63 (SD = .71) on a scale ranging from “1 = being weak” to “5 = being strong. ” The findings indicated that commonly known risk factors, such as being a male, minority, low SES, no participation in extracurricular activities, and a history of involvement with the juvenile justice system did not negatively affect study participants’ perceptions of school membership. The relationships between students’ school outcomes and the risk variables were also analyzed. The findings indicated that being a male, minority, low SES, no participation in extracurricular activities, and a history of involvement with the juvenile justice system did not result in significantly negative effects on school outcomes (GPA, number of missed school days, hours spent for in-school suspension, and days spent for out-of school suspension). Instead, academic and behavioral school outcome variables were found to be closely related with each other, and also with some demographic factors, including race/ethnicity and grade levels.
Examining the Effects of Campus Climate, Ethnic Group Cohesion, and Cross-Cultural Interaction on Filipino American Students' Sense of Belonging in College

The purpose of this study is to explore how campus climate, ethnic group cohesion and cross cultural interaction influence Filipino American college students' sense of belonging in college. Specifically, we examine the impact of three environmental and behavioral factors on students' sense of belonging: 1) campus racial climate, 2) ethnic group cohesion, and 3) interactions across cultures. A sample of 143 participants was analyzed using structural equation modeling techniques. Findings suggest that campus racial climate, ethnic group cohesion, and cross-cultural interaction all directly influence sense of belonging among Filipino American students. In addition, ethnic group cohesion was indirectly and positively associated with sense of belonging on campus via its direct influence on cross-cultural interactions. Implications for research and practice are discussed.
The Environmental and Social History of African Sacred Groves: A Tanzanian Case Study

Abstract: Sacred groves figure prominently in efforts to create community-based conservation in Africa. Although they are often conceptualized in functionalist terms as relics of climax forest and peak cultural florescence, attention to the intersections of ecological and social dynamics offers a framework for understanding African sacred groves that avoids assumptions of steady states of habitat and culture. This article, based on a case study from the North Pare Mountains of northeastern Tanzania, demonstrates that the sacredness of these groves is embedded in social institutions, and that the deeply contested nature of these meanings produces African landscapes. It concludes that sacred groves, as examples of cultural and ecological co-evolution, require research based on hybrid social and natural scientific methods. The implication for conservation policy is that sacred groves are not simply local forms of conservation, and that their management demands cooperation among local, national, and global institutions.
Body image dissatisfaction and aesthetic exercise in adolescents: Are they related?

This study investigated if boys and girls who practice exercises with aesthetic propose report higher levels of body dissatisfaction compared to their inactive peers. A total of 199 adolescents (89 boys), mean age 16.1 years, completed measures of body dissatisfaction and psychological commitment to exercise. Results demonstrated that active boys presented lower dissatisfaction than their inactive peers; and active girls were significantly more dissatisfied than inactive ones. Active boys were more satisfied than active girls. The majority of active girls reported a desire for a slimmer silhouette; while active boys were equally divided between those who desired a heavier silhouette and those who were satisfied. Psychological commitment to exercise did not differ between satisfied and dissatisfied active adolescents. Thus, girls who practice aesthetic exercises must be looked at as a high risk population to the development of health harmful behaviors and eating disorders.
Historical sociolinguistics: Language change in Tudor and Stuart England

Terttu Nevalainen & Helena Raumolin-Brunberg, Historical sociolinguistics: Language change in Tudor and Stuart England (Longman Linguistics Library). London: Pearson Education, 2003. Pp. xvi, 266. Historical sociolinguistics is another outcome of the long-term endeavor by Terttu Nevalainen and Helena Raumolin-Brunberg, from the English Department at the University of Helsinki, to “put sociolinguistics to the test of time” (p. 202) by reconstructing the English language in some of its social and historical contexts, here in the Tudor and Stuart periods (Early Modern English). This enterprise has also allowed the authors to refine the methodology of historical sociolinguistics: first by confronting both the fragmentary nature of historical materials and the difficulties of socially reconstructing the past – the “bad data problem,” in the words of Labov – and second by looking for the solutions afforded by ancillary disciplines like corpus linguistics and social history. In fact, the authors' research is built, on the one hand, upon the Corpus of Early English correspondence, a collection of personal letters (nearly 2.7 million words from 1410 to 1681) compiled specifically for historical sociolinguistic research, which ensures the reliable reconstruction of both linguistic and extralinguistic variables, as well as the commonsense use of the findings of social history, which facilitates access to period-specific information in the process of reconstructing the sociohistorical circumstances that may have affected linguistic variation and change in the past. Corpus linguistics and social history, in the view of Nevalainen and Raumolin-Brunberg, scientifically legitimate historical sociolinguistics by conferring upon it “empirical” and “historical” validity.
Constraint-based causal discovery from multiple interventions over overlapping variable sets

Scientific practice typically involves repeatedly studying a system, each time trying to unravel a different perspective. In each study, the scientist may take measurements under different experimental conditions (interventions, manipulations, perturbations) and measure different sets of quantities (variables). The result is a collection of heterogeneous data sets coming from different data distributions. In this work, we present algorithm COmbINE, which accepts a collection of data sets over overlapping variable sets under different experimental conditions; COmbINE then outputs a summary of all causal models indicating the invariant and variant structural characteristics of all models that simultaneously fit all of the input data sets. COmbINE converts estimated dependencies and independencies in the data into path constraints on the data-generating causal model and encodes them as a SAT instance. The algorithm is sound and complete in the sample limit. To account for conflicting constraints arising from statistical errors, we introduce a general method for sorting constraints in order of confidence, computed as a function of their corresponding p-values. In our empirical evaluation, COmbINE outperforms in terms of efficiency the only pre-existing similar algorithm; the latter additionally admits feedback cycles, but does not admit conflicting constraints which hinders the applicability on real data. As a proof-of-concept, COmbINE is employed to co-analyze 4 real, mass-cytometry data sets measuring phosphorylated protein concentrations of overlapping protein sets under 3 different interventions.
Raising the Ceiling: The Tower of London-Extended Version

The Tower of London (TOL) is a neuropsychological test used to assess problem-solving and planning skills. Clinically, the measure has demonstrated sensitivity in discriminating between performance among individuals with varying severity of closed head injury (CHI). However, ceiling effects have been demonstrated with preadolescent and adolescent CHI samples. An extended version of the Tower of London (TOL-E) was devised to minimize these ceiling effects. In this study we examined the performance of 26 normal children between the ages of 7 and 16 years on the TOL-E. Significant complexity and age effects suggest that the TOL-E contributes a significant level of complexity relative to the original TOL across all age groups. This finding has implications for the measure's ability to detect the development of planning and problem solving in normal children as well as to differentiate between impaired and nonimpaired samples.
Ventricular HCN channels decrease the repolarization reserve in the hypertrophic heart.

AIMS Cardiac hypertrophy is accompanied by reprogramming of gene expression, where the altered expression of ion channels decreases electrical stability and increases the risk of life-threatening arrhythmias. However, the underlying mechanisms are not fully understood. Here, we analysed the role of the depolarizing current I(f) which has been hypothesized to contribute to arrhythmogenesis in the hypertrophied ventricle. METHODS AND RESULTS We used transverse aortic constriction in mice to induce ventricular hypertrophy. This resulted in an increased number of I(f) positive ventricular myocytes as well as a strongly enhanced and accelerated I(f) when compared with controls. Of the four HCN (hyperpolarization-activated cyclic nucleotide-gated channels) isoforms mediating I(f), HCN2 and HCN4 were the predominantly expressed subunits in healthy as well as hypertrophied hearts. Unexpectedly, only the HCN1 transcript was significantly upregulated in response to hypertrophy. However, the combined deletion of HCN2 and HCN4 disrupted ventricular I(f) completely. The lack of I(f) in hypertrophic double-knockouts resulted in a strong attenuation of pro-arrhythmogenic parameters characteristically observed in hypertrophic hearts. In particular, prolongation of the action potential was significantly decreased and lengthening of the QT interval was reduced. CONCLUSIONS We suggest that the strongly increased HCN channel activity in hypertrophied myocytes prolongs the repolarization of the ventricular action potential and thereby may increase the arrhythmogenic potential. Our results provide for the first time a direct link between an upregulation of ventricular I(f) and a diminished repolarization reserve in cardiac hypertrophy.
Characterization of GalR1, GalR2, and GalR3 immunoreactivity in catecholaminergic nuclei of the mouse brain

The distribution of immunoreactivity for the three identified neuropeptide galanin receptors, GalR1, GalR2, and GalR3, was determined in areas of the mouse brain involved in drug addiction, including the ventral tegmental area (VTA), substantia nigra (SN), nucleus accumbens (NA), and locus coeruleus (LC). All three galanin receptors are found in the VTA, SN, NA, and LC; however, GalR1 protein is most highly represented in the VTA, NA, and SN, suggesting that GalR1 may play a predominant role in galanin‐mediated regulation of dopamine neurotransmission. GalR1 and GalR3 protein levels are high in the LC, suggesting that these isoforms may be important for galanin‐mediated regulation of noradrenergic transmission during opiate withdrawal. Although the distribution of GalR1, GalR2, and GalR3 largely recapitulates the pattern of galanin binding throughout the brain, some discrepancies exist, suggesting that another galanin receptor(s) may be present in some brain areas. Overall, GalR1, GalR2, and GalR3 are distributed widely throughout the brain, correlate with widespread galanin binding, and colocalize with tyrosine hydroxylase in catecholaminergic brain areas. J. Comp. Neurol. 479:410–423, 2004. © 2004 Wiley‐Liss, Inc.
Eye movements during visuospatial judgements

The goal of the current research was to determine whether eye movements reflect different underlying cognitive processes associated with visuospatial relation judgements. Ten participants made three different judgements regarding the position of a dot in relation to a bar; an above/below judgement, a near/far judgement, and a precise distance estimation. The results highlight similarities between above/below and near/far visuospatial judgements; specifically, such binary judgements were fast, reflexive, and did not require precise distance computation. In contrast, estimating distance was comparatively cognitively demanding and required precise distance computation, as evidenced through distinct scan paths. The eye movement data provide significant insight into the cognitive processes underlying visuospatial judgements, showing aspects of visuospatial processing that are similar, as well as those that differ between tasks.
TP-XCS: An XCS classifier system with fixed-length memory for reinforcement learning

We introduce a rule-based reinforcement learning system named Temporally Perceptive XCS (TP-XCS) that incorporates memory into the well-known XCS Learning Classifier System, to disambiguate perceptually aliased states in Partially Observable Markov Decision Processes (POMDPs), and hence to greatly outperform the basic (memoryless) XCS in such problems. TP-XCS augments the input to XCS with a fixed-length window of XCS's sensory perceptions from previous time steps. The length of the window is a parameter set in advance and fixed during the run. This is a very simple approach to adding memory and it has the disadvantage that the size of the state/action space grows dramatically as the window is made longer, that is, it exacerbates the “curse of dimensionality” all RL systems face. However, XCS is able to generalize effectively over irrelevant inputs by using a genetic algorithm to find useful state aggregations, and our results show that TP-XCS inherits this ability and is able to generalize effectively over irrelevant memories in two small POMDPs called Woods100 and Woods101.
Exploratory Chandra Observations of the Three Highest Redshift Quasars Known

We report on exploratory Chandra observations of the three highest redshift quasars known (z = 5.82, 5.99, and 6.28), all found in the Sloan Digital Sky Survey. These data, combined with a previous XMM-Newton observation of a z = 5.74 quasar, form a complete set of color-selected, z > 5.7 quasars. X-ray emission is detected from all of the quasars at levels that indicate that the X-ray-to-optical flux ratios of z ≈ 6, optically selected quasars are similar to those of lower redshift quasars. The observations demonstrate that it will be feasible to obtain quality X-ray spectra of z ≈ 6 quasars with current and future X-ray missions.
Microbial Community Structure of a Leachfield Soil: Response to Intermittent Aeration and Tetracycline Addition

Soil-based wastewater treatment systems, or leachfields, rely on microbial processes for improving the quality of wastewater before it reaches the groundwater. These processes are affected by physicochemical system properties, such as O2 availability, and disturbances, such as the presence of antimicrobial compounds in wastewater. We examined the microbial community structure of leachfield mesocosms containing native soil and receiving domestic wastewater under intermittently-aerated (AIR) and unaerated (LEACH) conditions before and after dosing with tetracycline (TET). Community structure was assessed using phospholipid fatty acid analysis (PLFA), analysis of dominant phylotypes using polymerase chain reaction-denaturing gradient gel electrophoresis (PCR–DGGE), and cloning and sequencing of 16S rRNA genes. Prior to dosing, the same PLFA biomarkers were found in soil from AIR and LEACH treatments, although AIR soil had a larger active microbial population and higher concentrations for nine of 32 PLFA markers found. AIR soil also had a larger number of dominant phylotypes, most of them unique to this treatment. Dosing of mesocosms with TET had a more marked effect on AIR than LEACH soil, reducing the size of the microbial population and the number and concentration of PLFA markers. Dominant phylotypes decreased by ~15% in response to TET in both treatments, although the AIR treatment retained a higher number of phylotypes than the LEACH treatment. Fewer than 10% of clones were common to both OPEN ACCESS Water 2013, 5 506 AIR and LEACH soil, and fewer than 25% of the clones from either treatment were homologous with isolates of known genus and species. These included human pathogens, as well as bacteria involved in biogeochemical transformations of C, N, S and metals, and biodegradation of various organic contaminants. Our results show that intermittent aeration has a marked effect on the size and structure of the microbial community that develops in a native leachfield soil. In addition, there is a differential response of the microbial communities of AIR and LEACH soil to tetracycline addition which may be linked to changes in function.
Predictions of polarized multilayer theory of solute distribution confirmed from a study of the equilibrium distribution in frog muscle of twenty-one nonelectrolytes including five cryoprotectants.

We determined the equilibrium distribution of twenty-one nonmetabolized nonelectrolytes in frog muscle cells. In all cases, plots of the equilibrium intracellular concentrations of a solute in the cell water against the external concentrations of the solute yielded straight lines in agreement with the prediction of such a rectilinear plot by the polarized multilayer (PM) theory. The slopes of these straight lines yield the equilibrium distribution coefficients or q-value of that solute. It was shown that, again in agreement with the PM theory, the q-values of fourteen nonelectrolytes vary with the molecular volumes of the nonelectrolytes, obeying the "size rule", i.e., the larger the solute, the lower its q-value. The q-values of the remaining seven nonelectrolytes also decrease with their molecular volumes but on a separate curve. These q-value vs. molecular volume plots (q-v plots) show strong resemblance to similar q-v plots of solutes in dialysis sacs containing proteins and polymers assuming the fully-extended conformation (extrovert models) but no, or only weak, resemblance to q-v plots of solutions containing native globular proteins (introvert models). These findings also support the PM theory, according to which some protein(s) pervasively present in cells are in the fully-extended conformation; and that these fully extended cell protein(s) polarize(s) in multilayers all or virtually all cell water. The relationship between the q-values of the nonelectrolytes and the solutes' respective molecular volume are described by two sets of theoretical curves, calculated from an equation introduced in the preceding paper. Both curves were computed on the basis of the same exclusion intensity (Uvp = 126 cal/mole). This factor measures the extra water-to-water interaction of the polarized water which acts to keep solute out of the cell water in degree according to the size of the solute. The two curves are computed on the basis of two different values of U(s), which represents the surface or solute component of the polarization energy, describing the affinity of the solute for the dynamic water structure: one curve which roughly predicts the q-value of fourteen of the nonelectrolytes studied was computed with a U(s) equal to 119 cal/mole. The second curve which roughly predicts the q-value of the remaining seven solutes was computed on the basis of a higher U(s) (156 cal/mole). (ABSTRACT TRUNCATED AT 400 WORDS)
Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition

Learning deep representations have been applied in action recognition widely. However, there have been a few investigations on how to utilize the structural manifold information among different action videos to enhance the recognition accuracy and efficiency. In this paper, we propose to incorporate the manifold of training samples into deep learning, which is defined as deep manifold learning (DML). The proposed DML framework can be adapted to most existing deep networks to learn more discriminative features for action recognition. When applied to a convolutional neural network, DML embeds the previous convolutional layer’s manifold into the next convolutional layer; thus, the discriminative capacity of the next layer can be promoted. We also apply the DML on a restricted Boltzmann machine, which can alleviate the overfitting problem. Experimental results on four standard action databases (i.e., UCF101, HMDB51, KTH, and UCF sports) show that the proposed method outperforms the state-of-the-art methods.