Miracle-dz/UniFAR-FTUs huggingface dataset:
G.H. Mead: A Critical Introduction

Table of Contents. Acknowledgements. 1 Introduction and General Overview. 2 Life and Work: 1863-1931. 3 Mead's Social Psychology: Basic Concepts. 4 The Social Self. 5 Society, Mind and Self. 6 Mead and Symbolic Interactionism. 7 Mead and 20th Century Sociology. 8 Why Read Mead Today? Bibliography. Notes
Stoichiometry and Absolute Quantification of Proteins with Mass Spectrometry Using Fluorescent and Isotope-labeled Concatenated Peptide Standards*S

We have explored a general approach for the determination of absolute amounts and the relative stoichiometry of proteins in a mixture using fluorescence and mass spectrometry. We engineered a gene to express green fluorescent protein (GFP) with a synthetic fusion protein (GAB-GFP) in Escherichia coli to function as a spectroscopic standard for the quantification of an analogous stable isotope-labeled, non-fluorescent fusion protein (GAB*) and for the quantification and stoichiometric analysis of purified transducin, a heterotrimeric G-protein complex. Both GAB-GFP and GAB* contain concatenated sequences of specific proteotypic peptides that are derived from the α, β, and γ protein subunits of transducin and that are each flanked by spacer regions that maintain the native proteolytic properties for these peptide fragments. Spectroscopic quantification of GAB-GFP provided a molar scale for mass spectrometric ratios from tryptic peptides of GAB* and defined molar responses for mass spectrometric signal intensities from a purified transducin complex. The stoichiometry of transducin subunits α, β, and γ was measured to be 1:1.1:1.15 over a 5-fold range of labeled internal standard with a relative standard deviation of 9%. Fusing a unique genetically coded spectroscopic signal element with concatenated proteotypic peptides provides a powerful method to accurately quantify and determine the relative stoichiometry of multiple proteins present in complexes or mixtures that cannot be readily assessed using classical gravimetric, enzymatic, or antibody-based technologies.
A Study of Visual Context Representation and Control for Remote Sport Learning Tasks

Shared visual context plays a vital role in video-mediated remote learning tasks. However, it remains unclear how to provide such visual context in order to best facilitate learning. In this paper, we present an exploratory study to (a) evaluate the impact of visual context representation on sport learning in video-mediated environments, and (b) investigate how users control the visual context (e.g., changing viewpoint) in assisting learning. We find that (a) for sports, the 3D free view representation enables faster, more accurate learning than 2D representation; (b) average users tend to “browse” randomly instead of selecting a particular viewpoint with intention; and (c) different users have dramatically different control patterns for similar visual context, which suggests the importance of user customization. We anticipate our results will bring theoretical and practical implications for the design of next-generation video-mediated learning systems.
The Influence of Diverse Interaction Contexts on Students' Sociometric Status

Despite there being numerous studies on sociometric status, research that analyzes this variable from a contextualized viewpoint taking into account the different school settings in which a pupil establishes relationships is rare. The aim of this study is to analyze the stability of sociometric status in different school settings. For this purpose, 522 students filled in a sociometric questionnaire that investigated two different settings: the academic setting, which refers to the formal classroom setting; and the leisure setting, which investigates a more informal and playful setting like the playground. The main results indicate that identification percentages are almost the same in both settings. Nonetheless, all sociometric types are contextually dependent, and some are more dependent than others. Thus, rejection is observed as being the most independent of context, whereas the most dependent is that of controversial pupils. Differential analyses show that sex modifies the results obtained. It is shown that, excluding a few exceptions, combinations of sociometric types in both settings investigated can be made. These results are discussed in connection with the methodology used to identify sociometric types and their practical implication for better school adjustment. A pesar de que es numerosa la investigación sobre el estatus sociométrico, son escasos los trabajos que analizan dicha variable desde un enfoque contextualizado que tenga en cuenta los diferentes contextos escolares en los que los alumnos establecen relaciones. El objetivo de este trabajo es analizar la estabilidad del estatus sociométrico en los diferentes contextos escolares. Para ello, 522 estudiantes cumplimentaron un cuestionario sociométrico que indagaba en dos contextos diferentes: el académico, que hace referencia a las actividades de tipo instruccional, y el de ocio, que indaga en las actividades más informales y lúdicas. Los principales resultados indican que los porcentajes de identificación son prácticamente los mismos en los dos contextos. No obstante, todos los tipos sociométricos tienen dependencia contextual, aunque unos son más dependientes que otros. Así, se observa que el rechazo es el tipo más independiente del contexto, mientras que el más dependiente es el de los alumnos controvertidos. Además, se encontraron algunas diferencias en función de sexo. Por último, se comprueba que, salvo algunas excepciones, se pueden dar combinaciones de todos los tipos sociométricos en los dos escenarios explorados. Estos resultados se discuten en función de la metodología utilizada para identificar los tipos sociométricos y de sus implicaciones prácticas para la mejora de la adaptación escolar.
Antiangiogenic agents in advanced gastrointestinal malignancies: past, present and a novel future

Advanced gastrointestinal (GI) malignancies are varied in presentation, prognosis, and treatment options. With the exception of resectable recurrent colorectal cancer, metastatic GI malignancies are incurable. Cytotoxic chemotherapies have been the mainstay of therapy for decades but limited extension of survival or clinical benefit has been achieved in non-colorectal GI cancers. There has been great interest in the incorporation of antiangiogenic strategies to improve outcomes for these patients. Clear benefits have been identified with bevacizumab and sorafenib in colorectal cancer and hepatocellular cancer, respectively; other GI tumor sites have lacked impressive results with antiangiogenic agents. In this review, we will present the benefits, or lack thereof, of clinically tested antiangiogenic compounds in GI malignancies and explore some potential new therapeutic anti-angiogenesis options for these diseases.
Revisiting the Sequential Programming Model for Multi-Core

Single-threaded programming is already considered a complicated task. The move to multi-threaded programming only increases the complexity and cost involved in software development due to rewriting legacy code, training of the programmer, increased debugging of the program, and efforts to avoid race conditions, deadlocks, and other problems associated with parallel programming. To address these costs, other approaches, such as automatic thread extraction, have been explored. Unfortunately, the amount of parallelism that has been automatically extracted is generally insufficient to keep many cores busy. This paper argues that this lack of parallelism is not an intrinsic limitation of the sequential programming model, but rather occurs for two reasons. First, there exists no framework for automatic thread extraction that brings together key existing state-of-the-art compiler and hardware techniques. This paper shows that such a framework can yield scalable parallelization on several SPEC CINT2000 benchmarks. Second, existing sequential programming languages force programmers to define a single legal program outcome, rather than allowing for a range of legal outcomes. This paper shows that natural extensions to the sequential programming model enable parallelization for the remainder of the SPEC CINT2000 suite. Our experience demonstrates that, by changing only 60 source code lines, all of the C benchmarks in the SPEC CINT2000 suite were parallelizable by automatic thread extraction. This process, constrained by the limits of modern optimizing compilers, yielded a speedup of 454% on these applications.
Idd Loci Synergize to Prolong Islet Allograft Survival Induced by Costimulation Blockade in NOD Mice

OBJECTIVE—NOD mice model human type 1 diabetes and are used to investigate tolerance induction protocols for islet transplantation in a setting of autoimmunity. However, costimulation blockade–based tolerance protocols have failed in prolonging islet allograft survival in NOD mice. RESEARCH DESIGN AND METHODS—To investigate the underlying mechanisms, we studied the ability of costimulation blockade to prolong islet allograft survival in congenic NOD mice bearing insulin-dependent diabetes (Idd) loci that reduce the frequency of diabetes. RESULTS—The frequency of diabetes is reduced in NOD.B6 Idd3 mice and is virtually absent in NOD.B6/B10 Idd3 Idd5 mice. Islet allograft survival in NOD.B6 Idd3 mice treated with costimulation blockade is prolonged compared with NOD mice, and in NOD.B6/B10 Idd3 Idd5, mice islet allograft survival is similar to that achieved in C57BL/6 mice. Conversely, some Idd loci were not beneficial for the induction of transplantation tolerance. Alloreactive CD8 T-cell depletion in (NOD × CBA)F1 mice treated with costimulation blockade was impaired compared with similarly treated (C57BL/6.H2g7 × CBA)F1 mice. Injection of exogenous interleukin (IL)-2 into NOD mice treated with costimulation prolonged islet allograft survival. NOD.B6 Idd3 mice treated with costimulation blockade deleted alloreactive CD8 T-cells and exhibited prolonged islet allograft survival. CONCLUSIONS—Il2 is the Idd3 diabetes susceptibility gene and can influence the outcome of T-cell deletion and islet allograft survival in mice treated with costimulation blockade. These data suggest that Idd loci can facilitate induction of transplantation tolerance by costimulation blockade and that IL-2/Idd3 is a critical component in this process.
The Self-Reported Reasons for Self-Disclosure and Uncertainty Reduction Strategies Used in Romantic Online Dating Relationships Compared to Face-to-Face Romantic Dating Relationships

4 Introduction 5 Review of Literature 6 Uncertainty Reduction 7 Self-Disclosure and Relational Goals 11 Research Questions 15 Methods 16 Results 20 RQ1-Why Daters Disclose Information 20 RQ2-Online Profile Information 21 RQ3-Length of Time Known Before Information is Disclosed 23 RQ4-Uncertainty Reduction Strategies 24 RQ5-Comfortability of Types of Information Self-Disclosed 24 Discussion 26 Limitations and Strengths 33 Future Research 34 Conclusion 34 References 36 Appendix: Survey Tool 41 ONLINE DATING RELATIONSHIPS 4 THE SELF-REPORTED REASONS FOR SELF-DISCLOSURE AND UNCERTAINTY REDUCTION STRATEGIES USED IN ROMANTIC ONLINE DATING RELATIONSHIPS COMPARED TO FACE-TO-FACE ROMANTIC DATING RELATIONSHIPS Krystle N. Jones School of Communication College of Liberal Arts Master of Science in Communication & Media Technologies Term Degree Awarded: Summer 2015 Term (2148) Abstract “One in ten Americans have used an online dating site or mobile dating app themselves, and many people now know someone else who uses online dating or who has found a spouse or longterm partner via online dating” (Pew Research Center 2013). Online dating is now a 2.1 billion dollar industry and growing (Fiscal Times, 2014). The current study examines how interpersonal computer-mediated relationships developed through uncertainty reduction strategies and selfdisclosure. Online daters may become educated on courting in a computer-mediated environment by learning from the experiences of those that participate in online relationship seeking. Online daters may desire an understanding and awareness of their environment, and being informed on the etiquette of obtaining and growing in online romantic relationships. The current study adds to the existing body of scholarly research on online dating in a computer-mediated setting.
Web-Retrieval Supported Argument Space Exploration

Solid decision making should be ideally based on clear arguments that can be justified by trustworthy information sources. However, argument spaces can quickly get quite complex and it is very often hard to trace the line of arguments found in literature or social media such as blogs and forums. In this paper, we propose a framework for a decision supporting interactive information retrieval system using methods for argument exploration based on textual documents. This concept is supported by a prototype that focuses on the actual analysis of the retrieved arguments in order to obtain a justified decision. For that we use a simplified argumentation graph with nodes as arguments and simple attacking and supporting relations. A web-based plausibility value is propagated (using ranked-based argumentation semantics) through the network for estimating the quality of the arguments. This is based on a web search for documents that support these arguments. The final decision can further be supported by chosing certain preferred interpretations of an abstract dialectical framework, leading to an integrated view of searching, creating, analysing and deciding.
DEEP NEURAL NETWORKS FOR ACOUSTIC MODELING

Deep neural networks have been shown to perform very well as acoustic models for automatic speech recognition. Compared to Gaussian mixtures however, they tend to be very expensive computationally, making them challenging to use in real-time applications. One key advantage of such neural networks is their ability to learn from very long observation windows going up to 400 ms. Given this very long temporal context, it is tempting to wonder whether one can run neural networks at a lower frame rate than the typical 10 ms, and whether there might be computational benefits to doing so. This paper describes a method of tying the neural network parameters over time which achieves comparable performance to the typical frame-synchronous model, while achieving up to a 4X reduction in the computational cost of the neural network activations.
A novel model for social networks

A number of recent studies on social networks are based on a characteristic which includes assortative mixing, high clustering, short average path lengths, broad degree distributions and the existence of community structure. Here, a model which satisfies all the above characteristics is developed. In addition, this model facilitates interaction between various communities. This model gives very high clustering coefficient by retaining the asymptotically scale-free degree distribution. Here the community structure is raised from a mixture of random attachment and implicit preferential attachment. In addition to earlier works which only considered Neighbour of Initial Contact (NIC) as implicit preferential contact, we have considered Neighbour of Neighbour of Initial Contact (NNIC) also. This model supports the occurrence of a contact between two Initial contacts if the new vertex chooses more than one initial contacts. This ultimately will develop a complex social network rather than the one that was taken as basic reference.
Neuropilin-1 Mediates Collapsin-1/Semaphorin III Inhibition of Endothelial Cell Motility

Neuropilin-1 (NRP1) is a receptor for two unrelated ligands with disparate activities, vascular endothelial growth factor-165 (VEGF165), an angiogenesis factor, and semaphorin/collapsins, mediators of neuronal guidance. To determine whether semaphorin/collapsins could interact with NRP1 in nonneuronal cells, the effects of recombinant collapsin-1 on endothelial cells (EC) were examined. Collapsin-1 inhibited the motility of porcine aortic EC (PAEC) expressing NRP1 alone; coexpressing KDR and NRP1 (PAEC/KDR/NRP1), but not parental PAEC; or PAEC expressing KDR alone. The motility of PAEC expressing NRP1 was inhibited by 65–75% and this inhibition was abrogated by anti-NRP1 antibody. In contrast, VEGF165 stimulated the motility of PAEC/KDR/NRP1. When VEGF165 and collapsin-1 were added simultaneously to PAEC/KDR/NRP1, dorsal root ganglia (DRG), and COS-7/NRP1 cells, they competed with each other in EC motility, DRG collapse, and NRP1-binding assays, respectively, suggesting that the two ligands have overlapping NRP1 binding sites. Collapsin-1 rapidly disrupted the formation of lamellipodia and induced depolymerization of F-actin in an NRP1-dependent manner. In an in vitro angiogenesis assay, collapsin-1 inhibited the capillary sprouting of EC from rat aortic ring segments. These results suggest that collapsin-1 can inhibit EC motility as well as axon motility, that these inhibitory effects on motility are mediated by NRP1, and that VEGF165 and collapsin-1 compete for NRP1-binding sites.
Association between Change in Normal Appearing White Matter Metabolites and Intrathecal Inflammation in Natalizumab-Treated Multiple Sclerosis

Background Multiple sclerosis (MS) is associated not only with focal inflammatory lesions but also diffuse pathology in the central nervous system (CNS). Since there is no firm association between the amount of focal inflammatory lesions and disease severity, diffuse pathology in normal appearing white matter (NAWM) may be crucial for disease progression. Immunomodulating treatments for MS reduce the number of focal lesions, but possible effects on diffuse white matter pathology are less studied. Furthermore, it is not known whether intrathecal levels of inflammatory or neurodegenerative markers are associated with development of pathology in NAWM. Methods Quantitative proton magnetic resonance spectroscopy (1H-MRS) was used to investigate NAWM in 27 patients with relapsing MS before and after one year of treatment with natalizumab as well as NAWM in 20 healthy controls at baseline. Changes in 1H-MRS metabolite concentrations during treatment were also correlated with a panel of intrathecal markers of inflammation and neurodegeneration in 24 of these 27 patients. Results The group levels of 1H-MRS metabolite concentrations were unchanged pre-to posttreatment, but a pattern of high magnitude correlation coefficients (r = 0.43–0.67, p<0.0005–0.03) were found between changes in individual metabolite concentrations (total creatine and total choline) and levels of pro-inflammatory markers (IL-1β and CXCL8). Conclusions Despite a clinical improvement and a global decrease in levels of inflammatory markers in cerebrospinal fluid during treatment, high levels of pro-inflammatory CXCL8 and IL-1β were associated with an increase in 1H-MRS metabolites indicative of continued gliosis development and membrane turnover in NAWM.
Entrepreneurship as a process of self-fulfillment: Well-being, affect, and behavioral strategies

This study unravels the underlying mechanisms that influence entrepreneurs’ behavior during the startup process. Theories of entrepreneurial behavior have assumed that entrepreneurs try to achieve goals—profit, sales, job satisfaction, autonomy, to name a few. Yet, past studies are silent about how entrepreneurs keep making efforts toward business startups while not achieving goals for a prolonged period of time. If goals are hard to reach and entrepreneurs are unable to assess their achievement level toward their goals, how do they manage to keep making efforts during the business startup process? What factors influence their effort level during the startup? Based on individual entrepreneurs’ daily records, this thesis suggests that entrepreneurs manipulate their affective states through their behavior thus are able to keep engaged in startup despite high uncertainty about their goals and achievement levels. I analyze individual entrepreneurs’ behavior, emotions, and perceptions as the uncertain future unfolds for them. By using research methods that avoid recollection bias, I present a model as to how entrepreneurs’ behavior and their affective states are interrelated, and what triggers entrepreneurs to increase or decrease their effort toward business startups. This study contributes to the further understanding of entrepreneurial behavior by suggesting alternative drivers of entrepreneurial processes: happiness and contentment. ENTREPRENEURSHIP AS A PROCESS OF SELF-FULFILLMENT: WELL-BEING, AFFECT, AND BEHAVIORAL STRATEGIES
Analysis of repertory grids in clinical practice.

OBJECTIVES This paper illustrates the use of several different forms of analysis of repertory grid data, using a case study of a client who completed repertory grids at various stages of therapy. METHOD Participants in a survivors' group completed grids before and after therapy and at 3- and 6-month follow-up. Grids from one of the participants, who had been sexually abused as a child, are presented using different levels of analysis: visual inspection of the raw grid; analysis of dissimilarities between pairs of elements or constructs; hierarchical cluster analysis of elements and constructs both separately and combined; principal components analysis; biplot representation of elements and constructs combined; multidimensional scaling analysis and unfolding analysis. The latter two methods also provide ways of presenting a combined analysis of a number of grids. Computer packages are reviewed, and SYSTAT commands are presented to perform the analyses. RESULTS The review of methods illustrates how different levels of analysis can usefully back up clients' own accounts of progress through therapy, from detailed analysis of individual ratings in the raw grid, through analyses that pull out structural patterns at the expense of detail, to the broad sweep provided by methods that combine data from a number of grids. CONCLUSIONS Analysis of repertory grids completed at various stages of therapy can provide useful qualitative information on progress, but can also provide some simple quantitative measures (such as Self-Ideal Self discrepancy as a measure of self esteem) to track progress. Different forms of analysis can be informative, highlighting different aspects of progress, but also allowing checks on adequacy and goodness-of-fit of particular analyses.
Intimate strangers: Eritrean male asylum seekers’ perceptions of marriage and sexuality

Abstract This study examined perceptions of marriage and sexuality among male asylum seekers from Eritrea. Semi-structured in-depth interviews were conducted with 14 men living in Israel. Their perceptions of marriage and sexuality were found to be influenced by their life as asylum seekers, and particularly by their encounter with a different culture, by their lack of legal status, and by the marked numerical imbalance between women and men within their community. Changes in their perceptions occurred after their arrival in Israel, and included greater relaxing of social codes and the transition from a relatively ‘closed’ sexual mindset to a more ‘open’ one. It is important to understand how lack of status affects male asylum seekers’ intimate relationships with women, and to recognise such men as subjects with legitimate sexual and partnering needs, thereby broadening existing discourse in this field, which tends to present male asylum seekers primarily as sources of cheap labour and as sexual Others.
A new framework of holonic self-organization for multi-agent systems

This paper presents an in-depth study on holonic self-organization of multi-agent systems. Specifically, a feedback-control framework has been put forward for self-organization of MAS for both the approaches without and with a priori organizational forms; furthermore, a completely new formulation of holonification comprised of binding and spawning has been put forward for holonic self-organization of MAS. In addition, software environment for realizing holonic multi-agent systems is preliminarily discussed.