Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceptions of Support From Mothers, Fathers, and Friends: Direct and Indirect Associations With the Psychological Adjustment of Mexican-Origin Girls

We examined the direct and indirect associations of perceived support (from mother, father, and friends) with self-esteem and depressive symptoms in an ethnic homogeneous sample of Mexican-origin adolescent girls living in the United States (N = 127, 14 to 19 years of age, 68% U.S.-born). Path analyses with structural equation modeling revealed that perceptions of support from significant others were associated with self-esteem and depressive symptoms, but associations differed by adolescent age. Moreover, perceptions of support from significant others were indirectly related to depressive symptoms via self-esteem. Regarding age differences, perceived support from mother and father figures was associated with self-esteem and depressive symptoms across adolescence. Support from friends was significantly associated with depressive symptoms and self-esteem in the expected direction among middle and late adolescents, but support from friends was negatively associated with self-esteem among early adolescents. In sum, perception of support from parents appears to be a salient correlate of Mexican-origin girls’ adjustment across adolescence, whereas perception of friend support appears to be more salient for these girls later in adolescence. En este estudio se analizaron las relaciones directas e indirectas entre apoyo percibido (de las figuras materna y paterna así como de los amigos), autoestima y síntomas depresivos en una muestra étnicamente homogénea de chicas adolescentes de origen mexicano que viven en los Estados Unidos (N = 127, de 14 a 19 años, 68% nacidas en los Estados Unidos). Los resultados del path análisis realizados con modelos de ecuaciones estructurales mostraron que el apoyo que las chicas percibían de personas significativas estaba relacionado con autoestima y síntomas depresivos, pero la relación difería en función de la edad de la adolescente. Además, el apoyo percibido de personas significativas estaba indirectamente relacionadas con los síntomas depresivos a través de la autoestima. En cuanto a las diferencias por edad, el apoyo percibido de las figuras materna y paterna estaba relacionado con autoestima y depresión a lo largo de la adolescencia. En cambio, el apoyo de los amigos estaba relacionado significativamente con síntomas depresivos y autoestima en la dirección esperada en la adolescencia media y tardía, y de forma negativa con la autoestima durante la adolescencia temprana. En definitiva, los resultados de este estudio sugieren que la percepción de apoyo por parte de los padres es un correlato relevante del ajuste de las adolescentes de origen mexicano a lo largo de toda la adolescencia, mientras que la percepción de apoyo por parte de los amigos parece ser más relevante para estas adolescentes en momentos posteriores de la adolescencia.
Some Practical Guidance for the Implementation of Propensity Score Matching

Propensity Score Matching (PSM) has become a popular approach to estimate causal treatment effects. It is widely applied when evaluating labour market policies, but empirical examples can be found in very diverse fields of study. Once the researcher has decided to use PSM, he is confronted with a lot of questions regarding its implementation. To begin with, a first decision has to be made concerning the estimation of the propensity score. Following that one has to decide which matching algorithm to choose and determine the region of common support. Subsequently, the matching quality has to be assessed and treatment effects and their standard errors have to be estimated. Furthermore, questions like "what to do if there is choice-based sampling? " or "when to measure effects? " can be important in empirical studies. Finally, one might also want to test the sensitivity of estimated treatment effects with respect to unobserved heterogeneity or failure of the common support condition. Each implementation step involves a lot of decisions and different approaches can be thought of. The aim of this paper is to discuss these implementation issues and give some guidance to researchers who want to use PSM for evaluation purposes.
DigInPix: Visual Named-Entities Identification in Images and Videos

This paper presents an automatic system able to identify visual named-entities appearing in images and videos, among a list of 25,000 entities, aggregated from Wikipedia lists, and more specific websites. DigInPix is a generic application designed to identify different kinds of entities. In this first attempt, we only focus on logo identification (more generally on legal persons). The identification process mainly relies on an efficient CBIR system, searching in an indexed image database composed of 600,000 weak-labelled images crawled from Google Images. DigInPix proposes a responsive-design html5 interface [1] for testing purposes.
Exploring participant perspectives on the relationship between social change theater and social change movements : a project based upon an investigation at the San Francisco Mime Troupe, Sins invalid and the OutLook Community Theatre Project, San Francisco, California

Recommended Citation Ehrensaft-Hawley, Jesse, "Exploring participant perspectives on the relationship between social change theater and social change movements : a project based upon an investigation at the San Francisco Mime Troupe, Sins invalid and the OutLook Community Theatre Project, San Francisco, California" (2010). Masters Thesis, Smith College, Northampton, MA. https://scholarworks.smith. edu/theses/525
E-Travel use in Padang : The Role of Enjoyment , Perceived Ease of Use , and Perceived Usefulness

— E-travel is believed as the considerable tool to expand the market with cheaper cost. Since the advance of technology, e-travel becomes one of potential activities in conducting business transactions especially in tourism industries. This study aims to identify the key success factors that influence the use of e-travel website in Padang based on users' point of view. There are some variables as influencing factors of e-travel website adoption including enjoyment, usefulness, ease of use, and the use of e-travel website. The findings of the current conceptual study build the theoritical framework of e-travel model success according to e-travel user's perspectives in Indonesia. The study is analyzed emperically using SEM technique. The finding of this study is all of the factors (enjoyment, perceived ease of use, and perceived usefulness) significantly affect the use of e-travel website. Ease of Use.
Computational constraints between retrieving the past and predicting the future, and the CA3‐CA1 differentiation

The differentiation between the CA3 and CA1 fields of the mammalian hippocampus is one of the salient traits that set it apart from the organization of the homologue medial wall in reptiles and birds. CA3 is widely thought to function as an autoassociator, but what do we need CA1 for? Based on evidence for a specific role of CA1 in temporal processing, I have explored the hypothesis that the differentiation between CA3 and CA1 may help solve a computational conflict. The conflict is between pattern completion, or integrating current sensory information on the basis of memory, and prediction, or moving from one pattern to the next in a stored sequence. CA3 would take care of the former, while CA1 would concentrate on the latter. I have found the hypothesis to be only weakly supported by neural network simulations. The conflict indeed exists, but two mechanisms that would relate more directly to a functional CA3‐CA1 differentiation were found unable to produce genuine prediction. Instead, a simple mechanism based on firing frequency adaptation in pyramidal cells was found to be sufficient for prediction, with the degree of adaptation as the crucial parameter balancing retrieval with prediction. The differentiation between the architectures of CA3 and CA1 has a minor but significant, and positive, effect on this balance. In particular, for a fixed anticipatory interval in the model, it increases significantly the information content of hippocampal outputs. There may therefore be just a simple quantitative advantage in differentiating the connectivity of the two fields. Moreover, different degrees of adaptation in CA3 and CA1 cells were not found to lead to better performance, further undermining the notion of a functional dissociation. © 2004 Wiley‐Liss, Inc.
Contextualizing context for synthetic biology – identifying causes of failure of synthetic biological systems

Despite the efforts that bioengineers have exerted in designing and constructing biological processes that function according to a predetermined set of rules, their operation remains fundamentally circumstantial. The contextual situation in which molecules and single‐celled or multi‐cellular organisms find themselves shapes the way they interact, respond to the environment and process external information. Since the birth of the field, synthetic biologists have had to grapple with contextual issues, particularly when the molecular and genetic devices inexplicably fail to function as designed when tested in vivo. In this review, we set out to identify and classify the sources of the unexpected divergences between design and actual function of synthetic systems and analyze possible methodologies aimed at controlling, if not preventing, unwanted contextual issues.
Trust Is in the Eye of the Beholder: A Vignette Study of Postevent Behavioral Controls’ Effects on Individual Trust in Virtual Teams

R esearch in face-to-face teams shows conﬂicting results about the impact of behavioral controls on trust; some research shows that controls increase the salience of good behavior, which increases trust while other research shows that controls increase the salience of poor behavior that decreases trust. The only study in virtual teams, which examined poorly functioning teams, found that controls increased the salience of poor behavior, which decreased trust. We argue that in virtual teams behavioral controls amplify the salience of all behaviors (positive and negative) and that an individual’s selective perception bias inﬂuences how these behaviors are interpreted. Thus the link from behavioral controls to trust is more complex than ﬁrst thought. We conducted a 2 × 2 experiment, varying the use of behavioral controls (controls, no controls) and individual team member behaviors (reneging behaviors designed to reduce trust beliefs and fulﬁlling behaviors designed to increase trust beliefs). We found that behavioral controls did amplify the salience of all behaviors; however, contrary to what we expected, this actually weakened the impact of reneging and fulﬁlling behaviors on trust. We believe that completing a formal evaluation increased empathy and the awareness of context in which the behaviors occurred and thus mitigated extreme perceptions. We also found that behavioral controls increased the selective perception bias which induced participants to see the behaviors their disposition to trust expected rather than the behaviors that actually occurred.
The Schmidt Law at High Molecular Densities

We have combined Halpha and recent high resolution CO(J=1-0) data to consider the quantitative relation between gas mass and star formation rate, or the so-called Schmidt law in nearby spiral galaxies at regions of high molecular density. The relation between gas quantity and star formation rate has not been previously studied for high density regions, but using high resolution CO data obtained at the NMA(Nobeyama Millimeter Array), we have found that the Schmidt law is valid at densities as high as $10^3 \mathrm{M_\odot} \mathrm{pc}^{-2}$ for the sample spiral galaxies, which is an order of magnitude denser than what has been known to be the maximum density at which the empirical law holds for non-starburst galaxies. Furthermore, we obtain a Schmidt law index of $N=1.33\pm0.09$ and roughly constant star formation efficiency over the entire disk, even within the several hundred parsecs of the nucleus. These results imply that the physics of star formation does not change in the central regions of spiral galaxies. Comparisons with starburst galaxies are also given. We find a possible discontinuity in the Schmidt law between normal and starburst galaxies.
Rosuvastatin Decreases Caveolin-1 and Improves Nitric Oxide–Dependent Heart Rate and Blood Pressure Variability in Apolipoprotein E−/− Mice In Vivo

Background—Decreased heart rate variability (HRV) and increased blood pressure variability (BPV), determined in part by nitric oxide (NO)–dependent endothelial dysfunction, are correlated with adverse prognosis in cardiovascular diseases. We examined potential alterations in BPV and HRV in genetically dyslipidemic, apolipoprotein (apo) E−/−, and control mice and the effect of chronic statin treatment on these parameters in relation to their NO synthase (NOS)–modifying properties. Methods and Results—BP and HR were recorded in unrestrained, nonanesthetized mice with implanted telemetry devices with or without rosuvastatin. Cardiac and aortic expression of endothelial NOS and caveolin-1 were measured by immunoblotting. Both systolic BP and HR were elevated in apoE−/− mice, with abolition of their circadian cycles. Spectral analysis showed an increase in their systolic BPV in the very-low-frequency (+17%) band and a decrease in HRV in the high-frequency (−57%) band, reflecting neurohumoral and autonomic dysfunction. Decreased sensitivity to acute injection of atropine or an NOS inhibitor indicated basal alterations in both parasympathetic and NOS regulatory systems in apoE−/− mice. Aortic caveolin-1 protein, an inhibitor of endothelial NOS, was also increased in these mice by 2.0-fold and correlated positively with systolic BPV in the very-low-frequency band. Rosuvastatin treatment corrected the hemodynamic and caveolin-1 expression changes despite persisting elevated plasma cholesterol levels. Conclusions—Rosuvastatin decreases caveolin-1 expression and promotes NOS function in apoE−/−, dyslipidemic mice in vivo, with concurrent improvements in BPV and HRV. This highlights the beneficial effects of rosuvastatin on cardiovascular function beyond those attributed to lipid lowering.
Professional Skepticism and Auditor Judgment: Does Trait Skepticism Mitigate the Recency Bias?

In two experiments with experienced auditors, we examine whether and how trait skepticism mitigates the tendency to place a greater emphasis on the most recently presented information, the so-called recency bias. We measure trait skepticism using the Hurtt scale (Hurtt 2010), manipulate information order, and vary presentation mode across two experiments. When information is presented sequentially (experiment 1), we find that auditors who score higher on the subconstructs of trait skepticism related to evidence examination are less likely to overweight contrasting evidence and thus are less prone to the recency bias. When information is presented simultaneously and the task is complex (experiment 2), we observe that auditors with higher trait skepticism exhibit higher cognitive effort which mitigates the recency bias. Our main contribution is the identification and detailed investigation of trait skepticism as a factor mitigating the recency bias, thereby providing evidence for its behavioral manifestation.
Playing Doom with SLAM-Augmented Deep Reinforcement Learning

A number of recent approaches to policy learning in 2D game domains have been successful going directly from raw input images to actions. However when employed in complex 3D environments, they typically suffer from challenges related to partial observability, combinatorial exploration spaces, path planning, and a scarcity of rewarding scenarios. Inspired from prior work in human cognition that indicates how humans employ a variety of semantic concepts and abstractions (object categories, localisation, etc.) to reason about the world, we build an agent-model that incorporates such abstractions into its policy-learning framework. We augment the raw image input to a Deep Q-Learning Network (DQN), by adding details of objects and structural elements encountered, along with the agent's localisation. The different components are automatically extracted and composed into a topological representation using on-the-fly object detection and 3D-scene reconstruction.We evaluate the efficacy of our approach in Doom, a 3D first-person combat game that exhibits a number of challenges discussed, and show that our augmented framework consistently learns better, more effective policies.
Role of Rural Women in Farm Management Decision Making Process: Ordered Probit Analysis

Rural women play a significant role in domestic and socio-economic life of the society such that national development is not possible without developing this important and substantial segment of our society. Considering therefore, the importance of women in agriculture, this study was conducted to examine the role of women in farm management decision-making process. Data were collected in 10 areas of decision making, keeping in mind their importance for agricultural development. The Ordered Probit Model was employed in addition to the descriptive statististics to analyze the data. It was discovered that the socio-economic characteristics of the women farmers significantly affect their decision making in agriculture.
SmpB as the handyman of tmRNA during trans-translation

In the recent years, a wealth of genetic, biochemical and structural data focusing on various steps of bacterial trans-translation was reported. The early events, from stalled ribosome recognition, pre-accommodation to translocation have been recently investigated in great details. In comparison, the later events including ‘elongation-termination’ onto tmRNA reading frame and ribosome recycling are much less known. What follows is a summary of those data together with our personal view of the dynamics of trans-translation, with emphasis to the pivotal and leading roles that the SmpB protein has, being the essential conductor during the whole process.
Mobile applications for driver and pedestrian assistance

In this paper two applications, which fit into the current trend of the development of mobile devices, are described. The first is designed for the driver and the second for the pedestrian assistance. Two traffic events like traffic lights change from the red to the green and vehicle approaching to pedestrian are detected. Proper warnings are generated and the suitable reaction is performed. The car may start movement without unnecessary delay and the pedestrian may change the movement trajectory in order to avoid an accident. Thus, the proper traffic flow and urban safety improvement are supported. Results of initial experiments show a high efficiency of proposed mobile solutions.
Mechanisms of in Vivo Degradation and Resorption of Calcium Phosphate Based Biomaterials

Calcium phosphate ceramic materials are extensively used for bone replacement and regeneration in orthopedic, dental, and maxillofacial surgical applications. In order for these biomaterials to work effectively it is imperative that they undergo the process of degradation and resorption in vivo. This allows for the space to be created for the new bone tissue to form and infiltrate within the implanted graft material. Several factors affect the biodegradation and resorption of calcium phosphate materials after implantation. Various cell types are involved in the degradation process by phagocytic mechanisms (monocytes/macrophages, fibroblasts, osteoblasts) or via an acidic mechanism to reduce the micro-environmental pH which results in demineralization of the cement matrix and resorption via osteoclasts. These cells exert their degradation effects directly or indirectly through the cytokine growth factor secretion and their sensitivity and response to these biomolecules. This article discusses the mechanisms of calcium phosphate material degradation in vivo.
PAID I IMPROVING OBJECT CLASSIFICATION USING POSE INFORMATION

We propose a method that exploits pose information in order to improve object classification. A lot of research has focused in other strategies, such as engineering feature extractors, trying different classifiers and even using transfer learning. Here, we use neural network architectures in a multi-task setup, whose outputs predict both the class and the camera azimuth. We investigate both Multi-layer Perceptrons and Convolutional Neural Network architectures, and achieve stateof-the-art results in the challenging NORB dataset.
Transglycosylation Activity of Glycosynthase Mutants of Endo-β-N-Acetylglucosaminidase from Coprinopsis cinerea

Endo-β-N-acetylglucosaminidase (ENGase), which catalyzes hydrolysis of N-linked oligosaccharides, is a useful tool for analyzing oligosaccharide contents of glycoproteins. However, there are only a few known ENGases that can catalyze the hydrolysis of human complex type oligosaccharides, and although commercially available, they are expensive. Here, we report the cloning of two ENGase encoding cDNAs from the basidiomycete fungus Coprinopsis cinerea, Endo-CC1 and Endo-CC2. We successfully expressed recombinant His6-tagged Endo-CC1 and Endo-CC2 in Escherichia coli and purified them for enzymatic characterization. Both Endo-CC1 and Endo-CC2 showed hydrolytic activity on high-mannose and complex type oligosaccharides. Since Endo-CC1 could be prepared more easily than Endo-CC2 from E. coli cultures, we examined the enzymatic properties of Endo-CC1 in detail. Our results showed that Endo-CC1 acted on both N-linked high-mannose type and sialobiantennary type complex oligosaccharides of glycoproteins RNase B and human transferrin, respectively, but not on the sialotriantennary type complex oligosaccharide of glycoprotein fetuin. Examination of the transglycosylation activity of Endo-CC1 revealed that the wild-type Endo-CC1 could not transfer the sialobiantennary type complex oligosaccharide onto the deglycosylated RNase B. To obtain an Endo-CC1 mutant with desired transglycosylation activity, we performed mutation analysis of the active site residue Asn 180 (N180), known to be important for catalysis, by individually replacing it with the remaining 19 amino acid residues. Transglycosylation analyses of these mutants led us to identify one mutant, namely Endo-CC1N180H, which exhibited the desired transglycosylation activity. Taken together, we suggest that Endo-CC1 would potentially be a valuable tool for analyzing oligosaccharides on glycoproteins, as large quantities of it could be made available more easily and less expensively than the currently used enzyme, Endo-M.