Miracle-dz/UniFAR-FTUs huggingface dataset:
“We’re mad as hell and we’re not going to take it anymore”: Anger self-stereotyping and collective action

What can motivate members of disadvantaged groups to take action on behalf of their group? This research assessed a model in which measured perceptions of (study 1) and manipulated information about (study 2) other women’s anger influenced female participants’ group-based anger, their subsequent appraisals of instances of possible discrimination, and finally their collective action tendencies. Consistent with Intergroup Emotions Theory, the results suggested that emotional self-stereotyping is one mechanism by which group members can become motivated to respond to possible discrimination, a process supported by group-based anger-driven appraisals about specific discrimination events.
Let Everything Turn Well in Your Wife

We propose a method for automated gen- eration of adult humor by lexical replace- ment and present empirical evaluation re- sults of the obtained humor. We propose three types of lexical constraints as build- ing blocks of humorous word substitu- tion: constraints concerning the similarity of sounds or spellings of the original word and the substitute, a constraint requiring the substitute to be a taboo word, and con- straints concerning the position and con- text of the replacement. Empirical ev- idence from extensive user studies indi- cates that these constraints can increase the effectiveness of humor generation sig- nificantly.
Registration Correction for Augmented Reality in E-Commerce

Current E-commerce technologies cannot provide enough information to buyers. By overlaying virtual information of products on the real world, Augmented Reality (AR) technology might improve the performance of E-commerce. Too many registration errors are the key hindering factors in AR actual system. Hybrid tracking is a key technique in combating the effects of dynamic errors. In this paper we present a multi-stage close-loop correction algorithm for reducing dynamic registration errors in AR system. The control law in this algorithm is based on 2D visual servoing or image-based camera control that allows control of a virtual camera to reduce registration error. The experimental results illustrate the effectiveness of this algorithm.
90Y-daclizumab, an anti-CD25 monoclonal antibody, provided responses in 50% of patients with relapsed Hodgkin’s lymphoma

Significance Despite advances, a significant proportion of patients with Hodgkin’s lymphoma (HL) will not respond or will relapse. We demonstrated that up to seven infusions of 90Y-daclizumab, an anti-CD25–directed monoclonal antibody, provided responses in 50% of patients with relapsed HL. The daclizumab was directed primarily not at tumor cells themselves but toward nonmalignant T cells rosetting around the Reed–Sternberg cells. 90Y provided strong β emissions that killed antigen-nonexpressing tumor cells at a distance by a crossfire effect. Furthermore, the strong β irradiation killed normal cells in the tumor microenvironment that nurture the malignant cells in the lymphomatous mass. Therefore 90Y-daclizumab infusions provide meaningful therapy for select HL patients. Despite significant advances in the treatment of Hodgkin’s lymphoma (HL), a significant proportion of patients will not respond or will subsequently relapse. We identified CD25, the IL-2 receptor alpha subunit, as a favorable target for systemic radioimmunotherapy of HL. The scientific basis for the clinical trial was that, although most normal cells with exception of Treg cells do not express CD25, it is expressed by a minority of Reed–Sternberg cells and by most polyclonal T cells rosetting around Reed–Sternberg cells. Forty-six patients with refractory and relapsed HL were evaluated with up to seven i.v. infusions of the radiolabeled anti-CD25 antibody 90Y-daclizumab. 90Y provides strong β emissions that kill tumor cells at a distance by a crossfire effect. In 46 evaluable HL patients treated with 90Y-daclizumab there were 14 complete responses and nine partial responses; 14 patients had stable disease, and nine progressed. Responses were observed both in patients whose Reed–Sternberg cells expressed CD25 and in those whose neoplastic cells were CD25− provided that associated rosetting T cells expressed CD25. As assessed using phosphorylated H2AX (γ-H2AX) as a bioindicator of the effects of radiation exposure, predominantly nonmalignant cells in the tumor microenvironment manifested DNA damage, as reflected by increased expression of γ-H2AX. Toxicities were transient bone-marrow suppression and myelodysplastic syndrome in six patients who had not been evaluated with bone-marrow karyotype analyses before therapy. In conclusion, repeated 90Y-daclizumab infusions directed predominantly toward nonmalignant T cells rosetting around Reed–Sternberg cells provided meaningful therapy for select HL patients.
Interaction of FoxO1 and TSC2 Induces Insulin Resistance through Activation of the Mammalian Target of Rapamycin/p70 S6K Pathway*

Both TSC2 (tuberin) and forkhead transcription factor FoxO1 are phosphorylated and inhibited by Akt and play important roles in insulin signaling. However, little is known about the relationship between TSC2 and FoxO1. Here we identified TSC2 as a FoxO1-binding protein by using a yeast two-hybrid screening with a murine islet cDNA library. Among FoxOs, only FoxO1 can be associated with TSC2. The physical association between the C terminus of TSC2 (amino acids 1280-1499) and FoxO1 degrades the TSC1-TSC2 complex and inhibits GTPase-activating protein activity of TSC2 toward Rheb. Overexpression of wild type FoxO1 enhances p70 S6K phosphorylation, whereas overexpression of TSC2 can reverse these effects. Knockdown of endogenous FOXO1 in human vascular endothelial cells decreased phosphorylation of p70 S6K. Prolonged overexpression of wild type FoxO1 enhanced phosphorylation of serine 307 of IRS1 and decreased phosphorylation of Akt and FoxO1 itself even in the presence of serum. These data suggest a novel mechanism by which FoxO1 regulates the insulin signaling pathway through negative regulation of TSC2 function.
SEXUAL SELECTION AND SEX LINKAGE

Abstract Some animal groups, such as birds, seem prone to extreme forms of sexual selection. One contributing factor may be sex linkage of genes affecting male displays and female preferences. Here we show that sex linkage can have substantial effects on the genetic correlation between these traits and consequently for Fisher's runaway and the good-genes mechanisms of sexual selection. Under some kinds of sex linkage (e.g. Z-linked preferences), a runaway is more likely than under autosomal inheritance, while under others (e.g., X-linked preferences and autosomal displays), the good-genes mechanism is particularly powerful. These theoretical results suggest empirical tests based on the comparative method.
Peptide‐mediated macrolide resistance reveals possible specific interactions in the nascent peptide exit tunnel

Expression of specific short peptides can render cells resistant to macrolide antibiotics. Peptides conferring resistance to structurally different macrolides including oleandomycin, azithromycin, azaerythromycin, josamycin and a ketolide cethromycin were selected from a random pentapeptide expression library. Analysis of the entire collection of the resistance peptides allowed their classification into five distinct groups according to their sequence similarity and the type of resistance they confer. A strong correlation was observed between the structures of macrolide antibiotics and sequences of the peptides conferring resistance. Such a correlation indicates that sequence‐specific interactions between the nascent peptide and the macrolide antibiotic and/or the ribosome can occur in the ribosomal exit tunnel.
Unitization of Spontaneous Nonverbal Behavior in the Study of Emotion Communication.

Videotapes of spontaneous facial and gestural reactions to affective slides were segmented by observers using a group adaptation of Newtson's unitization technique. In Experiment 1, 46 females and 35 males segmented the expressions of a variety of children and adults; in Experiment 2, 50 males segmented the expressions of high- versus low-expressive male and female senders. Results demonstrated that the unitization technique applied to emotion expression yields reliable patterns of segmentation that may be used to investigate the relationships of communication accuracy to both the nature of the sender's behavior and the attentional patterns of the receiver. In particular, differences in segmentation results for males and females suggest that the technique may allow the detailed examination of process-level gender differences in nonverbal sending accuracy and receiving ability. Nonverbal sending accuracy is defined as an individual's spontaneous tendency to accurately communicate his or her emotional state to others via such nonverbal behaviors as facial expressions, gestures, and body movements. One method of measuring sending accuracy is the slide-viewing paradigm derived from R. E. Miller's (1974) cooperative conditioning procedure (Buck, 1978). In this paradigm, "senders" view and discuss a series of emotionally loaded color slides (i.e., familiar, sexual, scenic, unpleasant, and unusual slides) while unknown to them their facial and gestural reactions are videotaped and viewed by "receivers. " The receivers attempt to guess on each trial what kind of slide was viewed by the sender and how the sender felt about the slide. Using this procedure, it has been possible to study sending accuracy in college students, preschool children, and brain-damaged persons and to relate individual differences in sending accuracy to a variety of measures, including sex, age,
Notice of RetractionTask-Driven Method in Practical Teaching of Software Engineering

Software engineering education is changing at an increasing pace. The practical teaching plays a very important role during the process of software engineering teaching. Traditionally, the practical teaching of software engineering is objective-oriented and usually involves only one single task towards the finally aim. This paper presents the task-driven method and its process framework for the practical teaching of software engineering. Students learn concepts, theorems and methods during the process of finishing multiple and related tasks and in the exploration of corresponding approaches when conducting software projects. The real case led by university teachers and engineers from Alibaba.com has shown that students are more likely to be engaged while being driven by such multiple organized tasks.
Family Experiences with Mental Illness

Preface Introduction Mental Illness and the Family Family Experiences in Ohio: 1989-1992 The Research Landscape What Basic Needs Did Family Members Provide? What Troublesome Behaviors Did Family Members Try to Control? How Much Did Family Members Spend? What Were the Emotional Costs for Family Members? What Were the Positive Aspects for Family Members? How Involved Were Other Members of the Family Household? Family Experiences in Ohio: 1995-1997 The Research Landscape Revisited How Much Involvement Do Family Members Want? How Did Family Members Evaluate Professionals, Services, and Systems? What Did Family Members Know about Mental Health Insurance? Implications Dilemmas of Kinship Bibliography Index
All in the Timing

The role of time in measuring group and team temporality constitutes more than a methodological issue—it is a theoretical question. That is, if group interaction is theorized as processual and processes occur through time, then research on team temporality, as well as a range of other issues, must grapple with the methodological implications of our theories. This article contributes to INGRoup's aim to advance theory and methods for understanding groups by exploring methodological approaches that allow us to capture a variety of team processes over time. Three case studies address the practical issues involved with employing various types of time-sensitive data collection, time-dependent coding, and time-based analysis, including their advantages and disadvantages. Together, the authors describe diverse field and analytical methods useful for interrogating theoretical assumptions about time in groups. Doing so expands the notion of group temporality to consider the role of both epochal and fungible times at multiple stages of group research.
Programas de pós-graduação em Saúde Pública na Argentina e no Brasil: origens históricas e tendências recentes de processos de avaliação de qualidade

O artigo analisa a singularidade de metodologias utilizadas em processos de avaliacao da qualidade da formacao pos-graduada em Saude Publica em dois paises da America Latina Argentina e Brasil. Procedeu-se a uma busca em sitios da internet que abordavam os temas "formacao em saude publica" e "metodologias de avaliacao de qualidade", alem da revisao de documentos e bibliografia sobre o tema. A analise considerou as seguintes dimensoes: o contexto politico-economico na America Latina nos ultimos dez anos (1994-2004), as reformas nos sistemas educacionais (com enfase na area da pos-graduacao) e as metodologias de avaliacao de qualidade implementadas. Foram identificadas semelhancas entre os sistemas de avaliacao em vigor em ambos os paises, assim como debilidades nesses processos: avaliacao associada a supervisao e controle, e nao a redirecionamento e reorientacao do ensino, e obrigatoriedade dos cursos ajustarem-se a um modelo padrao definido pelos especialistas.
Portable prescreening system for sleep apnea

Obstructive sleep apnea (OSA) occurs in more than 4 % of the adult population. Diagnoses for OSA in sleep clinics are costly and more than half of those submitted to a sleep clinic do not have OSA. A simple, easy, and portable homebased monitoring system to evaluate who are in high-or low risk of suffering from OSA would be beneficial. The system must be able to identify individuals with a high pre-test reliability regarding OSA with the aim of referral and further investigation. We aimed to develop a portable, smartphone, and homebased monitoring system to classify whether a patient screened for sleep apnea is at high risk or low risk of having OSA. A new test setup was developed containing an Android based smartphone, the built in accelerometer, and a microphone. To ease the clinical analysis of the data a MATLAB based graphical user interface has been developed visualizing the data allowing the user to navigate through the data and the detected apnea events. The events are classified using both features from the audio and the signal from the accelerometer placed on sternum. Furthermore using the accelerometer data the sleep position is estimated and the morphology from the respiratory pattern is available describing the events and making it possible to distinguish between OSA and central sleep apnea (CSA).
AutoPlacer: Scalable Self-Tuning Data Placement in Distributed Key-Value Stores

This article addresses the problem of self-tuning the data placement in replicated key-value stores. The goal is to automatically optimize replica placement in a way that leverages locality patterns in data accesses, such that internode communication is minimized. To do this efficiently is extremely challenging, as one needs not only to find lightweight and scalable ways to identify the right assignment of data replicas to nodes but also to preserve fast data lookup. The article introduces new techniques that address these challenges. The first challenge is addressed by optimizing, in a decentralized way, the placement of the objects generating the largest number of remote operations for each node. The second challenge is addressed by combining the usage of consistent hashing with a novel data structure, which provides efficient probabilistic data placement. These techniques have been integrated in a popular open-source key-value store. The performance results show that the throughput of the optimized system can be six times better than a baseline system employing the widely used static placement based on consistent hashing.
Self-nonself discrimination in a computer

The problem of protecting computer systems can be viewed generally as the problem of learning to distinguish self from other. The authors describe a method for change detection which is based on the generation of T cells in the immune system. Mathematical analysis reveals computational costs of the system, and preliminary experiments illustrate how the method might be applied to the problem of computer viruses. <<ETX>>
Web-Based, Participant-Driven Studies Yield Novel Genetic Associations for Common Traits

Despite the recent rapid growth in genome-wide data, much of human variation remains entirely unexplained. A significant challenge in the pursuit of the genetic basis for variation in common human traits is the efficient, coordinated collection of genotype and phenotype data. We have developed a novel research framework that facilitates the parallel study of a wide assortment of traits within a single cohort. The approach takes advantage of the interactivity of the Web both to gather data and to present genetic information to research participants, while taking care to correct for the population structure inherent to this study design. Here we report initial results from a participant-driven study of 22 traits. Replications of associations (in the genes OCA2, HERC2, SLC45A2, SLC24A4, IRF4, TYR, TYRP1, ASIP, and MC1R) for hair color, eye color, and freckling validate the Web-based, self-reporting paradigm. The identification of novel associations for hair morphology (rs17646946, near TCHH; rs7349332, near WNT10A; and rs1556547, near OFCC1), freckling (rs2153271, in BNC2), the ability to smell the methanethiol produced after eating asparagus (rs4481887, near OR2M7), and photic sneeze reflex (rs10427255, near ZEB2, and rs11856995, near NR2F2) illustrates the power of the approach.
Examining the Relationship Between Students’ Understanding of the Nature of Models and Conceptual Learning in Biology, Physics, and Chemistry

This research addresses high school students’ understandings of the nature of models, and their interaction with model‐based software in three science domains, namely, biology, physics, and chemistry. Data from 736 high school students’ understandings of models were collected using the Students’ Understanding of Models in Science (SUMS) survey as part of a large‐scale, longitudinal study in the context of technology‐based curricular units in each of the three science domains. The results of ANOVA and regression analyses showed that there were differences in students’ pre‐test understandings of models across the three domains, and that higher post‐test scores were associated with having engaged in a greater number of curricular activities, but only in the chemistry domain. The analyses also showed that the relationships between the pre‐test understanding of models subscales scores and post‐test content knowledge varied across domains. Some implications are discussed with regard to how students’ understanding of the nature of models can be promoted.
User Technology Adoption Issues in Recommender Systems

Two music recommender websites, Pandora (a content-based recommender) and Last.fm (a rating-based social recommender), were compared side-by-side in a within-subject user study involving 64 participants. The main objective was to investigate users’ initial adoption of recommender technology and their subjective perception of the respective systems. Results show that a simple interface design, the requirement of less initial effort, and the quality of recommended items (accuracy, novelty and enjoyability) are some of the key design features that such websites rely on to break the initial entrance barrier in becoming a popular website.
Mapping of architectonic subdivisions in the macaque monkey, with emphasis on parieto‐occipital cortex

The intraparietal sulcus (IPS) of the macaque monkey contains numerous areas associated with different aspects of cortical function, including motor control as well as visual, somatosensory, vestibular, and possibly auditory processing. This study focuses largely on the architectonic organization of areas within and near the IPS, but also examines remaining portions of the hemisphere with which the IPS is interconnected. We charted the location of up to 72 architectonically distinct areas plus numerous architectonic zones in individuals over a region covering most of the cortical hemisphere. Identified cortical subdivisions (areas plus zones) were represented on computationally generated flat maps in relation to gyral and sulcal geography, thereby facilitating the analysis of consistent as well as variable aspects of the sizes and relative positions of subdivisions across animals. Using myelin and Nissl stains, plus immunohistochemical staining with the SMI‐32 antibody, 17 architectonic subdivisions were identified that are largely or entirely contained in the intraparietal and parieto‐occipital sulci. This includes four newly identified zones: a heavily myelinated lateral occipitoparietal zone, termed LOP; a strongly SMI‐32 immunoreactive zone termed 7t (near the tip of the IPS); plus medial and lateral subdivisions (VIPm and VIPl) of ventral intraparietal area (VIP), which was previously regarded as an anatomically homogeneous area. Within the superior temporal sulcus, we identified a densely myelinated zone termed the dorso‐posterior subdivision of the medial superior temporal area (MSTdp) that bordered middle temporal area (MT). We charted the extent of numerous other architectonically defined subdivisions throughout the cortical hemisphere by using criteria largely based on previous studies, but in some instances involving revised or expanded identification criteria. J. Comp. Neurol. 428:79–111, 2000. © 2000 Wiley‐Liss, Inc.
Robustness of estimators of long-range dependence and self-similarity under non-Gaussianity

Long-range dependence (LRD) and non-Gaussianity are ubiquitous in many natural systems such as ecosystems, biological systems and climate. However, it is not always appreciated that the two phenomena may occur together in natural systems and that self-similarity in a system can be a superposition of both phenomena. These features, which are common in complex systems, impact the attribution of trends and the occurrence and clustering of extremes. The risk assessment of systems with these properties will lead to different outcomes (e.g. return periods) than the more common assumption of independence of extremes. Two paradigmatic models are discussed that can simultaneously account for LRD and non-Gaussianity: autoregressive fractional integrated moving average (ARFIMA) and linear fractional stable motion (LFSM). Statistical properties of estimators for LRD and self-similarity are critically assessed. It is found that the most popular estimators can be biased in the presence of important features of many natural systems like trends and multiplicative noise. Also the LRD and non-Gaussianity of two typical natural time series are discussed.
Female High School Dropouts A Relational View

This study investigates risk and protective factors of Taiwanese female students who dropped out of high school. Twenty female youth who had dropped out of high school and who grew up and resided in Taiwan voluntarily participated in this study. Findings revealed particular relational conflicts and coping strategies employed by the girls that contributed to significant vulnerability, conflict at school and school dropout. Implications for social work practice are addressed.