Miracle-dz/UniFAR-FTUs huggingface dataset:
A Latina Teacher's Journal: Reflections on Language, Culture, Literacy, and Discourse Practices

Shortly after I started teaching, I realized there were plenty of parents, like me, crying for their children's cultures, languages, discourses, and literacies to be valued in the classroom. Teaching elementary school students, learning from and with them, I saw that children from culturally and linguistically diverse groups had difficulty achieving school success because the dominant pedagogical approaches were based on the dominant discourse (Gee, 1996). In this article, I reflect on my perceptions of the impact of dominant discourses on teaching in American schools and on culturally and linguistically diverse children's lives.
The Problem-Solving Component in Cognitive-Behavioral Couples' Therapy

Abstract The treatment of couples has taken somewhat of a backseat to other populations in the professional psychotherapy literature, namely individuals suffering from depression, anxiety, personality disorder, or schizophrenia. This is of particular interest given that nowhere else in the professional literature is the problem-solving factor needed as much as with couples in crisis. One of the core components of cognitive-behavioral therapy with couples involves the technique of problem-solving, aside from the other techniques of cognitive restructuring and behavioral change. However, in the literature, the technique of problem-solving has received less attention than other techniques when the topic is working with couples. The present article addresses in detail the problem-solving component in the cognitive-behavioral approach with couples and how the focus places particular emphasis on the restructuring of thought and perception. It is this problem-solving component that may be considered to be one of the pivotal factors that bind a couple together and facilitate future progress in the relationship.
Out of Anthropology: The Anthropologist as an Object of Dramatic Representation

In September 1988, the Danish theater group, Odin Teatret, showed Talabot for the first time. ' Talabot is a play about the last 40 years of world history told through the biography of a woman anthropologist born in 1948. She is Danish, with an international professional training, fieldwork experience in India and, especially, Iceland, and a relatively successful career. The dramas in her life are reflections of the historical dramas around her. All the wars, killings, and suppressions following World War II form the sonorous background of her generation's history, and of the performance. Living with women's liberation and the global oppression of the weak, her choice to become an anthropologist reflects a fundamental choice between violence and science in a world in crisis.
A Novel Criterion to Evaluate the Temperature Match Across a Heat Exchanger with Zeotropic Refrigerant Mixtures

A new criterion DMPC is proposed to evaluate the overall quality of temperature match between two fluids across a heat exchanger. As the criterion DMPC goes up, the unnecessary entropy generation will increase, while the second law efficiency of the heat exchanger will decline, and vice verse. This criterion can also be applied to be the optimization objective for getting a better temperature match between the two heat transfer fluids in heat exchanger.
Immune reconstitution inflammatory syndrome: incidence and implications for mortality

Objective:To describe incidence of immune reconstitution inflammatory syndrome (IRIS) and its association with mortality in a large multisite US HIV-infected cohort applying an objective, comprehensive definition. Design:We studied 2 610 patients seen during 1996–2007 who initiated or resumed highly active combination antiretroviral therapy (cART) and, during the next 6 months, demonstrated a decline in plasma HIV-RNA viral load of at least 0.5 log10 copies/ml or an increase of at least 50% in CD4 cell count per microliter. We defined IRIS as the diagnosis of a type B or C condition [as per the Centers for Disease Control and Prevention (CDC) 1993 AIDS case definition] or any new mucocutaneous disorder during this same 6-month period. Methods:We assessed the incidence of IRIS and evaluated risk factors for IRIS using conditional logistic regression and for all-cause mortality using proportional hazards models. Results:We identified 370 cases of IRIS (in 276 patients). Median and nadir CD4 cell counts at cART initiation were 90 and 43 cells/&mgr;l, respectively; median viral load was 2.7 log10 copies/ml. The most common IRIS-defining diagnoses were candidiasis (all forms), cytomegalovirus infection, disseminated Mycobacterium avium intracellulare, Pneumocystis pneumonia, varicella zoster, Kaposi's sarcoma and non-Hodgkin lymphoma. Only one case of Mycobacterium tuberculosis was observed. IRIS was independently associated with CD4 cell count less than 50 cells/&mgr;l vs. at least 200 cells/&mgr;l [odds ratio (OR) 5.0] and a viral load of at least 5.0 log10 copies vs. less than 4.0 log10 copies (OR 2.3). IRIS with a type B-defining or type C-defining diagnosis approximately doubled the risk for all-cause mortality. Conclusion:In this large US-based HIV-infected cohort, IRIS occurred in 10.6% of patients who responded to effective ART and contributed to increased mortality.
Research on Urban Public Traffic Satisfaction Evaluation Model Based on BP Neural Network Algorithm

Urban public traffic is an important basic infrastructure related to the nation’s economy and the people’s livelihood, which is social cause of public good closely linked people's production and life. In order to evaluate the urban public traffic satisfaction scientifically, based on the analysis of the urban public traffic present and problems, this paper establishes a satisfaction evaluation index system and describes the evaluation mechanism based on BP neural network. The satisfaction evaluation of 12 cities in Hebei shows that the results given by this model are reliable, and this method to evaluate urban public traffic satisfaction is feasible.
Neuroscience, the Unconscious and Professional Decision Making: Implications for ICT

The science of professional decision making and resulting information and communication technology (ICT) tools are typically based on a rational decision-making model designed to minimize the influence of emotions and biases. However, neuroscience suggests our brain naturally incorporates both unconscious emotion and conscious cognition in its mental processes, and professional decision processes are best that integrate these rational and emotional systems. This article explores recent neuroscience findings along with the implications for human service professional decision making and the ICT tools designed to support this decision making.
Comparison of biomechanical and biochemical properties of cartilage from human knee and ankle pairs

Cartilage was obtained from eight matched knee (tibiofemoral and femoropatellar) and ankle (talocrural) joints of five different donors (both left and right from donors 14, 22, and 38 years of age, and left only from donors 31 and 45 years of age) within 24 hours of death. All cartilage was graded as normal by the macroscopic visual Collins' scale and the histological Mankin scale. Cylindrical disks of cartilage were harvested from 10 sites within the tibiofemoral and femoropatellar joint surfaces and four sites within the talocrural joint, and uniaxial confined compression measurements were performed to quantify a spectrum of physical properties including the equilibrium modulus, hydraulic permeability, dynamic stiffness, streaming potential, electrokinetic coupling coefficient, and electrical conductivity. Matched specimens from the same 14 sites were used for complementary measurements of biochemical composition and molecular interaction, including water content, hypotonic swelling behavior, and sulfated glycosaminoglycan and collagen contents. In comparison of the top 1‐mm slices of talar cartilage with the top 1‐mm of tibiofemoral cartilage, the talar cartilage appeared denser with a higher sulfated glycosaminoglycan content, lower water content, higher equilibrium modulus and dynamic stiffness, and lower hydraulic permeability. The equilibrium modulus increased with increasing sulfated glycosaminoglycans per wet weight and decreased with increasing water content for all joint surfaces. Multiple linear regression showed that greater than 80% of the variation in the equilibrium modulus could be accounted for by variations in the biochemical parameters (water content, sulfated glycosaminoglycans/wet weight, and hydroxyproline content/wet weight) for each joint surface. Nonhomogeneous depth‐dependent changes in the physical properties and biochemical composition of full‐thickness distal femoral cartilage were consistent with previous reports. Since the compressive deformation of cartilage during cyclic loading is confined to the more superficial regions, the differences in properties of the upper regions of the talar compared with tibiofemoral or femoropatellar cartilage may be important in the etiology of osteoarthritis.
Non-receptor-tyrosine Kinases Integrate Fast Glucocorticoid Signaling in Hippocampal Neurons

Background: The intracellular signaling cascades through which corticosterone rapidly alters neuronal activity are poorly defined. Results: Corticosterone alters glutamatergic transmission by activating diverse GPCR-dependent signaling pathways. Conclusion: Corticosterone-induced changes in neuronal excitability are initiated at the plasma membrane. Significance: The sequential recruitment and integration of diverse signaling cascades by corticosterone adds to the understanding of how steroids rapidly alter neuronal function. Despite numerous descriptions of rapid effects of corticosterone on neuronal function, the intracellular mechanisms responsible for these changes remain elusive. The present comprehensive analysis reveals that signaling from a membrane-located G protein-coupled receptor activates PKC, Akt/PKB, and PKA, which subsequently trigger the phosphorylation of the tyrosine kinases Pyk2, Src, and Abl. These changes induce rapid cytoskeletal rearrangements (increased PSD-95 co-clustering) within the post-synaptic density; these events are accompanied by increased surface NMDA receptor expression, reflecting corticosterone-induced inhibition of NMDA receptor endocytosis. Notably, none of these signaling mechanisms require de novo protein synthesis. The observed up-regulation of ERK1/2 (downstream of NMDA receptor signaling) together with the fact that c-Abl integrates cytoplasmic and nuclear functions introduces a potential mechanism through which rapid signaling initiated at the plasma membrane may eventually determine the long term integrated response to corticosterone by impacting on the transcriptional machinery that is regulated by classical, nuclear mineralocorticoid, and glucocorticoid receptors.
Web user de-identification in personalization

It is a kind of privacy infraction in personalized web service if the user profile submitted to one web site transferred to another site without user permission. That can cause the second web site easily re-identify to whom these personal data belong, no matter whether the transfer is under control or by hacking. This paper presents a portable solution for users to bind their sensitive web data under the appointed domain. Such data, including query logs, user accounts, click stream etc, could be used to identify the sensitive information of the particular user. By our domain stretching de-identification method, if personal data leak from domain A to B, the web user could still not be identified even though he logins to sites under domain B using the same name and password. In the experiment implemented by javascript, we show the flexibility and efficiency of our de-identification approach.
Surface reconstruction with volume preservation

The marching cubes (MC) algorithm is widely used for converting volume data into surface data. It generates surfaces with the connected intersection points with a level or value equal to a given threshold. The resulting surfaces are iso-surfaces. However, it will be shown that local volume is not preserved in the conversion. Consequently, the resulting shape is not necessarily close to the original shape. We present a new approach to the problem. Instead of a single threshold value for the entire image we adjust thresholds locally so that local volume becomes approximately equal to the corresponding voxel value. First, a detailed explanation is given using a 2D image. Then, for a 3D case a technique to analytically compute volume in various cases of forming iso-surfaces is developed. We will demonstrate the advantage of our algorithm using several artificial and real examples.
Guiding in the City of Tomorrow: Materializing the Future Through Future and Present Components

This paper explores an intrinsic case of a guided tour of a future city: Stockholm Royal Seaport. Whereas guided city tours usually aim at educating and enlightening those guided about the past and present of the place visited – building the truth claim by relating what is said in the tour to the physical environment of the tour – the case described in this paper offers the opportunity to explore how the urban future is made material to those guided. The study shows that the guide's actions materialized the urban future in two ways: by using future components of the future and by using present components of the future. Based on this analysis, we conclude that both these ways function as ways of confirming the present.
Coronary artery overexpansion increases neointimal hyperplasia after stent placement in a porcine model

Objective: To determine if an aggressive approach to coronary revascularisation with oversized balloons is counterproductive, we studied the effect of increasing balloon-to-artery (B:A) ratio on neointimal hyperplasia following primary stent placement using a non-atherosclerotic porcine coronary overstretch model. Methods: 60 vessels in 33 Yorkshire swine were randomly assigned to one of five B:A ratios between 1.0:1 and 1.4:1. Intravascular ultrasound (IVUS) imaging was performed before bare-metal stent placement to accurately determine vessel size, after stent placement, and at 28 days. Results: The mean prestent vessel diameter was 3.05 (0.31) (SD) mm. In-stent neointimal volume, in-stent volume stenosis and cross-sectional area stenosis at the stent minimum lumen diameter increased significantly with increasing achieved B:A ratio (multilevel regression test for slope, p<0.001, p = 0.002 and p<0.001, respectively) and were independent of vessel size. Even minor vessel overstretch at an achieved B:A ratio of 1.1:1 resulted in significant neointimal hyperplasia. Larger B:A ratios were also associated with more neointima beyond the stent edges (p = 0.008). For vessels from the same animal, neointimal response at a given B:A ratio was dependent upon the animal treated. Conclusions: In a porcine model of IVUS-guided coronary primary stent placement, vessel overexpansion is counterproductive. Neointimal hyperplasia at 28 days is strongly associated with increasing B:A ratio. In addition, vessels do not respond independently of each other when multiple stents are placed within the same animal using a range of B:A ratios.
Policy evolution with Genetic Programming: A comparison of three approaches

In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is now much more complex. Subtle risk decisions may often need to be made and people are not always adept at expressing rationale for what they do. Previous research has demonstrated that Genetic Programming can be used to infer statements of policies from examples of decisions made [1]. This allows a policy that may not formally have been documented to be discovered automatically, or an underlying set of requirements to be extracted by interpreting user decisions to posed ldquowhat ifrdquo scenarios. This study compares the performance of three different approaches in using genetic programming to infer security policies from decision examples made, namely symbolic regression, IF-THEN rules inference and fuzzy membership functions inference. The fuzzy membership functions inference approach is found to have the best performance in terms of accuracy. Also, the fuzzification and de-fuzzification methods are found to be strongly correlated; incompatibility between them can have strong negative impact to the performance.
DRD1 5′UTR variation, sex and early infant stress influence ethanol consumption in rhesus macaques

The mesolimbic dopamine system plays an important role in mediating a variety of behaviors and is involved in mediating the reinforcing effects of ethanol. Genes encoding dopamine receptor subtypes are thus good candidate loci for understanding the genetic etiologies of susceptibility to alcohol dependence and its antecedent behavioral phenotypes. We tested whether variation in DRD1 influences alcohol consumption in rhesus macaques and whether its influence is mediated by sex and early rearing experience. We genotyped a single nucleotide polymorphism (−111 G/T) in the 5′UTR of DRD1 in 96 subjects raised with their mothers until 6 months of age (n = 43) or in peer‐only groups (n = 53). As young adults they underwent a 7‐week voluntary ethanol consumption experiment. anova revealed a significant main effect of sex (F1,95 = 6.3, P = 0.014) and an interaction between genotype, sex and rearing on ethanol consumption (F7,95 = 4.63, P = 0.0002). Maternally deprived males heterozygous for the T allele consumed significantly more ethanol (P > t≤ 0.0001) than the other subgroups. Maternal deprivation can produce individuals that are anxious and impulsive, both of which are known risk factors for alcohol dependence. Our work demonstrates a potential role for the dopamine D1 receptor gene in modulating alcohol consumption, especially in the context of early environmental stress.
SYSCORE: A Coarse Grained Reconfigurable Array Architecture for Low Energy Biosignal Processing

The promise of 24/7 patient monitoring and online diagnosis using wearable and implantable biomedical devices has engendered significant research interest in the development of low power biosignal processing platforms. A novel Coarse Grained Reconfigurable Array (CGRA) architecture is presented for low power, real time processing of biomedical signals. The proposed architecture differs from previously proposed CGRAs in that it is designed for low power, rather than for high performance. The proposed architecture was implemented in a software modeler and simulator and in Verilog. The architecture was shown to provide average savings in energy consumption of 62% compared to conventional DSP and SIMD processors and average speed ups of 30x and 8x, respectively, for typical biosignal processing algorithms.
Characterization of long non-coding RNA-associated ceRNA network to reveal potential prognostic lncRNA biomarkers in human ovarian cancer

Accumulating evidence has underscored the important roles of long non-coding RNAs (lncRNAs) acting as competing endogenous RNAs (ceRNAs) in cancer initiation and progression. In this study, we used an integrative computational method to identify miRNA-mediated ceRNA crosstalk between lncRNAs and mRNAs, and constructed global and progression-related lncRNA-associated ceRNA networks (LCeNETs) in ovarian cancer (OvCa) based on “ceRNA hypothesis”. The constructed LCeNETs exhibited small world, modular architecture and high functional specificity for OvCa. Known OvCa-related genes tended to be hubs and occurred preferentially in the functional modules. Ten lncRNA ceRNAs were identified as potential candidates associated with stage progression in OvCa using ceRNA-network driven method. Finally, we developed a ten-lncRNA signature which classified patients into high- and low-risk subgroups with significantly different survival outcomes. Our study will provide novel insight for better understanding of ceRNA-mediated gene regulation in progression of OvCa and facilitate the identification of novel diagnostic and therapeutic lncRNA ceRNAs for OvCa.
Toward a More Nuanced Understanding of the Statistical Properties of a Median Split

Abstract Some behavioral researchers occasionally wish to conduct a median split on a continuous variable and use the result in subsequent modeling to facilitate analytic ease and communication clarity. Traditionally, this practice of dichotomization has been criticized for the resulting loss of information and reduction in power. More recently, this practice has been criticized for sometimes producing Type I errors for effects regarding other terms in a model, resulting in a recommendation of the unconditional avoidance of median splits. In this paper, we use simulation studies to demonstrate more thoroughly than has been shown in the literature to date when median splits should not be used, and conversely, to provide nuance and balance to the extant literature regarding when median splits may be used with complete analytical integrity. For the scenario we explicate, the use of a median split is as good as a continuous variable. Accordingly, there is no reason to outright reject median splits, and oftentimes the median split may be preferred as more parsimonious.
Co‐regulation proteomics reveals substrates and mechanisms of APC/C‐dependent degradation

Using multiplexed quantitative proteomics, we analyzed cell cycle‐dependent changes of the human proteome. We identified >4,400 proteins, each with a six‐point abundance profile across the cell cycle. Hypothesizing that proteins with similar abundance profiles are co‐regulated, we clustered the proteins with abundance profiles most similar to known Anaphase‐Promoting Complex/Cyclosome (APC/C) substrates to identify additional putative APC/C substrates. This protein profile similarity screening (PPSS) analysis resulted in a shortlist enriched in kinases and kinesins. Biochemical studies on the kinesins confirmed KIFC1, KIF18A, KIF2C, and KIF4A as APC/C substrates. Furthermore, we showed that the APC/CCDH1‐dependent degradation of KIFC1 regulates the bipolar spindle formation and proper cell division. A targeted quantitative proteomics experiment showed that KIFC1 degradation is modulated by a stabilizing CDK1‐dependent phosphorylation site within the degradation motif of KIFC1. The regulation of KIFC1 (de‐)phosphorylation and degradation provides insights into the fidelity and proper ordering of substrate degradation by the APC/C during mitosis.