Miracle-dz/UniFAR-FTUs huggingface dataset:
Inhibition of c-Src expression and activation in malignant pleural mesothelioma tissues leads to apoptosis, cell cycle arrest, and decreased migration and invasion

Malignant pleural mesothelioma (MPM) is a deadly disease with few systemic treatment options. One potential therapeutic target, the non–receptor tyrosine kinase c-Src, causes changes in proliferation, motility, invasion, survival, and angiogenesis in cancer cells and may be a valid therapeutic target in MPM. To test this hypothesis, we determined the effects of c-Src inhibition in MPM cell lines and examined c-Src expression and activation in tissue samples. We analyzed four MPM cell lines and found that all expressed total and activated c-Src. Three of the four cell lines were sensitive by in vitro cytotoxicity assays to the c-Src inhibitor dasatinib, which led to cell cycle arrest and increased apoptosis. Dasatinib also inhibited migration and invasion independent of the cytotoxic effects, and led to the rapid and durable inhibition of c-Src and its downstream pathways. We used immunohistochemical analysis to determine the levels of c-Src expression and activation in 46 archived MPM tumor specimens. The Src protein was highly expressed in tumor cells, but expression did not correlate with survival. However, expression of activated Src (p-Src Y419) on the tumor cell membrane was higher in patients with advanced-stage disease; the presence of metastasis correlated with higher membrane (P = 0.03) and cytoplasmic (P = 0.04) expression of p-Src Y419. Lower levels of membrane expression of inactive c-Src (p-Src Y530) correlated with advanced N stage (P = 0.02). Activated c-Src may play a role in survival, metastasis, and invasion of MPM, and targeting c-Src may be an important therapeutic strategy. [Mol Cancer Ther 2007;6(7):1962–72]
An Empirical Study on Interest Point Ranking and Valence-Arousal Tags of EEG Data

The research on emotional tagging has always been an important issue in the field of Affective Computing. EEG signals are ideal to the analysis of affected rate because of its strong correlation and various information for the brain activities. However, EEG signals have its own complexity and noise, the choice of electrodes and frequency band needs evidence proof from experimental analysis. This paper aims to analyze EEG signals in the frequency domain and conduct analysis to reveal the important electrodes and frequencies. Later, correlation analysis on the result and the valence-arousal tagging is conducted. The paper's result will be useful for the feature selection problem the field of Affective Computing and the automation design for valence-arousal tagging as well.
Conceptual frames revisited

The paper presents a logical framework formalising the main insights of the psychological theory of concepts developed by Lawrence Barsalou. The framework is established within the context of Common Logic as a logical theory in the axiomatic manner. Its semantic characterisation is provided and shown to be sound and incomplete with respect to the class of its models.
Auditory evoked responses from Ear-EEG recordings

A method for brain monitoring based on measuring electroencephalographic (EEG) signals from electrodes placed in-the-ear (Ear-EEG) was recently proposed. The Ear-EEG recording methodology provides a non-invasive, discreet and unobtrusive way of measuring electrical brain signals and has great potential as an enabling method for brain monitoring in everyday life. This work aims at further establishing the Ear-EEG recording methodology by considering auditory evoked potentials, and by comparing Ear-EEG responses with conventional on-scalp recordings and with well established results from the literature. It is shown that both steady state and transient responses can be obtained from Ear-EEG, and that these responses have similar characteristics and quality compared to EEG obtained from conventional on-scalp recordings.
Strategy Content and Public Service Organizations

Existing classifications of organizational strategy have limited relevance to public agencies. They confuse strategy processes and strategy content, consist of simplistic taxonomies, and do not take sufficient account of the constraints faced by public organizations. In this article we attempt to remedy these problems by developing a strategy content matrix that comprises two dimensions: strategic stance (the extent to which an organization is a prospector, defender, or reactor) and strategic actions (the relative emphasis on changes in markets, services, revenues, external relationships, and internal characteristics). This matrix is used to generate hypotheses on the strategies that are likely to be pursued by public organizations. The need for a clearer understanding of the strategies of public service organizations is urgent. Programs of management reform frequently require public managers to develop new strategies that will lead to better performance. These expectations are clearly seen in the National Performance Review in the United States (Thompson 2000) and in the ‘‘Moderni
Discretionary Disclosure in Financial Reporting: An Examination Comparing Internal Firm Data to Externally Reported Segment Data

We use confidential, U.S. Census Bureau, plant-level data to investigate aggregation in external reporting. We compare firms’ plant-level data to their published segment reports, conducting our tests by grouping a firm’s plants that share the same four-digit SIC code into a “pseudo-segment. ” We then determine whether that pseudo-segment is disclosed as an external segment, or whether it is subsumed into a different business unit for external reporting purposes. We find pseudo-segments are more likely to be aggregated within a line-of-business segment when the agency and proprietary costs of separately reporting the pseudo-segment are higher and when firm and pseudo-segment characteristics allow for more discretion in the application of segment reporting rules. For firms reporting multiple external segments, aggregation of pseudo-segments is driven by both agency and proprietary costs. However, for firms reporting a single external segment, we find no evidence of an agency cost motive for aggregation.
EFL learners' intercultural competence development in an international web collaboration project

This article is based on an analysis of a small sample of data from an international web collaboration project between four classes of English as a foreign language (EFL) learners guided by their English teachers in four different countries in Europe. As few studies have been published about intercultural communication in blended learning EFL contexts, the aim was to explore the participating students' intercultural competence development and their perceptions of the usefulness of their online collaboration in this respect. The analysis of the learners' posts was supplemented by insights gained from their teachers' evaluation and the project team's lesson observations as well as two group interviews with students. Despite the learners' initial difficulties and ‘faux pas’ in communication, the data indicate noticeable development in their intercultural competence throughout the five months of the web collaboration project.
Evaluation of a Commercially Available Recombinant-Protein Enzyme-Linked Immunosorbent Assay for Detection of Antibodies Produced in Scrub Typhus Rickettsial Infections

ABSTRACT The 56-kDa major outer membrane protein antigen of Orientia tsutsugamuchi is the immunodominant antigen in human scrub typhus (ST) infections. An enzyme-linked immunosorbent assay (ELISA) using a recombinant 56-kDa protein (r56) to detect specific immunoglobulin M (IgM) produced in ST infections was developed, and its performance was evaluated using sera from patients with active ST (n = 59), spotted fever (SF) (n = 31), and murine typhus (MT) (n = 6) and from those without rickettsial infection (n = 52). The r56 ELISA was compared to an ELISA using native whole cell lysate ofO. tsutsugamushi Karp or O. tsutsugamushiGilliam as antigens. The performance of the assays using r56 was similar to that of those using native antigens. Using indirect immunoperoxidase (IIP) as the reference test, sensitivities were 86, 88, and 88% while specificities were 84, 90, and 87% in the three assays. Furthermore, cross-reactivity in confirmed cases of SF and MT was low (5.4, 2.7, and 2.7% respectively). The additional use of IgG in the r56 ELISA gave improved performance (sensitivity, 80%; specificity, 96%; cross-reactivity in SF and MT, 2.7%). The detection of high levels of IgG in some IgM-negative patients illustrates the importance of including a test for IgG in the detection of secondary or reactivated infections, since many of these patients were from regions in Thailand where these infections are endemic.
Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling

Recently community detection has attracted much interest in social media to understand the collective behaviours of users and allow individuals to be modeled in the context of the group. Most existing approaches for community detection exploit either users' social links or their published content, aiming at discovering groups of densely connected or highly similar users. They often fail to find effective communities due to excessive noise in content, sparsity in links, and heterogenous behaviours of users in social media. Further, they are unable to provide insights and rationales behind the formation of the group and the collective behaviours of the users. To tackle these challenges, we propose to discover communities in a low- dimensional latent space in which we simultaneously learn the representation of users and communities. In particular, we integrated different social views of the network into a low-dimensional latent space in which we sought dense clusters of users as communities. By imposing a Laplacian regularizer into affiliation matrix, we further incorporated prior knowledge into the community discovery process. Finally community profiles were computed by a linear operator integrating the profiles of members. Taking the wellness domain as an example, we conducted experiments on a large scale real world dataset of users tweeting about diabetes and its related concepts, which demonstrate the effectiveness of our approach in discovering and profiling user communities.
The Structure and Function of Attitudes Toward Organizational Change

In this article, an attitudinal perspective on organizational members’ reactions to change is proposed and developed. By viewing change as an attitude object in this sense, a richer conceptualization of perceptions of change and reactions to change in terms of emotions, cognitions, and behaviors is achieved. The perspective also frames organizational changes in terms of aspects that are relevant for change recipients because of their relationships with important values that are held by organizational members. To identify classes of beliefs underlying the formation of attitudes toward change, constructs are integrated from theories of job characteristics and organizational justice with the overarching attitude perspective. Research implications of the framework as well as implications for managing change are discussed.
Ethical Issues in Patient Safety Research: A Systematic Review of the Literature

AbstractAs many as 1 in 10 patients is harmed while receiving hospital care in wealthy countries. The risk of health care–associated infection in some developing countries is as much as 20 times higher. In response, in many global regions, increased attention has turned to the implementation of a broad program of safety research, encompassing a variety of methods. Although important international ethical guidelines for research exist, literature has been emerging in the last 20 years that begins to apply such guidelines to patient safety research specifically. This paper provides a review of the literature related to ethics, oversight, and patient safety research; identifies issues highlighted in articles as being of ethical relevance; describes areas of consensus regarding how to respond to these ethical issues; and highlights areas where additional ethical analysis and discussion are needed to provide guidance to those in the field.
A Duplicated NUCLEOLIN Gene with Antagonistic Activity Is Required for Chromatin Organization of Silent 45S rDNA in Arabidopsis[C][W][OPEN]

The nucleolus, the most prominent nuclear structure, is involved in ribosome biogenesis and nuclear and nucleolar chromatin organization. Nucleolins are among the most abundant nucleolar proteins. In contrast with mammals, plants encode two nucleolins. Characterization of Arabidopsis thaliana nuc2 mutants shows the importance of these proteins in chromatin silencing and ribosomal DNA organization. In plants as well as in animals, hundreds to thousands of 45S rRNA gene copies localize in Nucleolus Organizer Regions (NORs), and the activation or repression of specific sets of rDNA depends on epigenetic mechanisms. Previously, we reported that the Arabidopsis thaliana nucleolin protein NUC1, an abundant and evolutionarily conserved nucleolar protein in eukaryotic organisms, is required for maintaining DNA methylation levels and for controlling the expression of specific rDNA variants in Arabidopsis. Interestingly, in contrast with animal or yeast cells, plants contain a second nucleolin gene. Here, we report that Arabidopsis NUC1 and NUC2 nucleolin genes are both required for plant growth and survival and that NUC2 disruption represses flowering. However, these genes seem to be functionally antagonistic. In contrast with NUC1, disruption of NUC2 induces CG hypermethylation of rDNA and NOR association with the nucleolus. Moreover, NUC2 loss of function triggers major changes in rDNA spatial organization, expression, and transgenerational stability. Our analyses indicate that silencing of specific rRNA genes is mostly determined by the active or repressed state of the NORs and that nucleolin proteins play a key role in the developmental control of this process.
Is There Pain in Champagne? Semantic Involvement of Words within Words during Sense-making

In an ERP experiment, we examined whether listeners, when making sense of spoken utterances, take into account the meaning of spurious words that are embedded in longer words, either at their onsets (e.g., pie in pirate) or at their offsets (e.g., pain in champagne). In the experiment, Dutch listeners heard Dutch words with initial or final embeddings presented in a sentence context that did or did not support the meaning of the embedded word, while equally supporting the longer carrier word. The N400 at the carrier words was modulated by the semantic fit of the embedded words, indicating that listeners briefly relate the meaning of initial- and final-embedded words to the sentential context, even though these words were not intended by the speaker. These findings help us understand the dynamics of initial sense-making and its link to lexical activation. In addition, they shed new light on the role of lexical competition and the debate concerning the lexical activation of final-embedded words.
Measuring Transgender Individuals’ Comfort With Gender Identity and Appearance

Our study used the construct of congruence to conceptualize the degree to which transgender individuals feel genuine, authentic, and comfortable with their gender identity and external appearance. In Study 1, the Transgender Congruence scale (TCS) was developed, and data from 162 transgender individuals were used to estimate the reliability and validity of its scores. Two factors emerged: Appearance Congruence and Gender Identity Acceptance. TCS total and subscale scores were internally consistent. Supporting its construct validity, TCS scores were (a) positively related to life satisfaction and presence of life meaning; (b) negatively related to anxiety, depression, and body dissatisfaction; and (c) unrelated to social desirability and searching for life’s meaning. TCS scores also garnered incremental validity by predicting life satisfaction, presence of meaning in life, anxiety symptoms, and depressive symptoms above and beyond the number of steps taken to transition. Study 2 confirmed the TCS’s factor structure with a sample of 342 transgender individuals. The final 12-item TCS is a psychometrically sound measure that can facilitate both empirical investigations and clinical applications connected to transgender identity. Additional online materials for this article are available to PWQ subscribers on PWQ’s website at http://pwq.sagepub. com/supplemental.
Comparing nasal-obstruent clusters derived from /mu-/ reduction in Shangwe and Zezuru: An Optimality Theory analysis

Abstract This article seeks to: (i) contribute to typology by presenting data illustrating the realisation of nasals in nasal-obstruent clusters (NCs) of Shangwe and Zezuru, two less well-studied Shona dialects; (ii) compare the realisation of nasals in NCs of these two dialects; and (iii) provide a formal analysis of this phenomenon. The focus is on NCs derived from the deletion of /u/ following /m/ in connected speech. The deleted /u/ is always part of the noun class prefix /mu-/. In both dialects, the resultant nasal holds on to the mora of the elided vowel and is syllabic. The main interlinguistic difference is that in Zezuru faithfulness to the input is more important than having clusters with shared place features, whereas in Shangwe homorganicity is ranked above faithfulness. This interlinguistic difference allows for an Optimality Theory (OT) analysis where a factorial typology accounts for the difference.
Memories of Feeling Misunderstood, and a Schema of Partner Empathic Responding: New Scales for Marital Research

Two instruments were created to assess cognitions in marital relationships: these were a 4-minute speeded test to assess Memory Accessibility for Partner Not Understanding (MAPNU), and a 20-item Likert-type questionnaire to assess Schema of Partner Empathic Responses to Anger (SOPERA). Seventy-four married individuals (37 couples, ranging from happily married to mildly distressed) completed both cognitive measures, the Dyadic Adjustment Scale and the Areas of Change questionnaire. The cognitive measures produced high reliability coefficients and a high convergent validity coefficient. SOPERA was related to, but not redundant with, general marital adjustment, and these two constructs best fit a two-dimensional as compared to a one-dimensional confirmatory factor analysis model. MAPNU was not correlated with length of marriage nor with a measure of general response production. Having a partner who demonstrated accurate understanding on the Areas of Change questionnaire was related to scores on both MAPNU and SOPERA, and path analysis supported a model in which SOPERA mediates the relationship between partner accurate understanding and relationship satisfaction.
Optimal memory minimization algorithms for the multifrontal method

We are interested in the active and total memory usage of the mul-tifrontal method. Starting from the algorithms proposed by Liu, we suggest a new scheme together with a tree traversal that give an optimal peak of active memory. Significant gains are obtained compared to Liu's approach. We also study the problem of minimizing the total memory and compare various new schemes. A number of experiments shows the interest of these approaches. Résumé Nous nous intéressonsà l'optimisation mémoire pour l'approche multi-frontale. Repartant des algorithmes proposés par Liu, nous proposons de nouveaux algorithmes et parcours d'arbre visantà minimiser la mémoire. Dans le cas out-of-core nous proposons un algorithme optimal pour la taille de la mémoire active, alors que pour le cadre in-core nous nous in-téressonsà la minimisation de la mémoire totale et proposons plusieurs nouvelles approches. Cetté etude théorique est complétée par des expé-rimentations sur un grand nombre deprobì emes tests qui montrent les améliorations obtenues. Optimal memory minimization algorithms for the multifrontal method
Group-Key Management Model for Worldwide Wireless Mesh Networks

Wireless Mesh Network (WMN) is an upcoming wireless network technology and is mainly used to provide broadband internet in remote locations. It is characterized by minimum fixed infrastructure requirement and is operated in an open medium, such that any user within the range covered by mesh routers may access the network. So a critical requirement for the security in WMN is the authentication of users. However, WMN is far from mature for large-scale deployment in some applications due to the lack of the satisfactory guarantees on security. A wellperformed security framework for WMN will contribute to network survivability and strongly support the network growth or reduction. A key management model to overcome the scalability issue on security aspect for large-scale deployment of WMN i.e. Worldwide WMN is proposed in this work, which aims to guarantee wellperformed key management services and protection from potential attacks. Here, we use a combination of techniques, such as zonebased topology structure, off-line CA, virtual certification authority ) etc.
Effects of circular and linear polarized antennas on wideband propagation parameters in indoor radio channels

Results are presented from an experiment that used a variety of antennas inside two buildings. An important result is that directional circularly polarized (CP) antennas reduce RMS delay spreads when compared with omnidirectional and directional linearly polarized (LP) antennas at identical locations. The variation of RMS delay spread over distances of several wavelengths is also greatly reduced when CP antennas are used in place of LP antennas with similar gains. <<ETX>>
Application of Analogical Modelling to Example Based Machine Translation

This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extended to encompass bilingual information through simultaneous analogy on both source and target sentences and juxtaposition of corresponding results. Analogical modelling is performed during the learning phase and translation patterns are projected in a multi-dimensional analogical network. The proposed framework was evaluated on a small training corpus providing promising results. Suggestions to improve system performance are this kind of analysis unquestionably leads to more computationally expensive and difficult to obtain systems. Our approach consists in a fully modular analogical framework, which can cope with lack of resources, and will perform even better when these are available.
Speculations on the Role of Childhood Abuse in the Development of Eating Disorders Among Women

Abstract Although many have suggested that child sexual and perhaps physical abuse may predispose young women to the development of eating disorders, others assert that little empirical evidence exists to support such assertions. Nonetheless, clinicians agree that for some women, the experience of abusive events in childhood may be conceptually important in understanding the complex genesis of their eating disorder and therefore in facilitating treatment. We propose that child abuse may be related to the subsequent development of eating disorders, particularly bulimic disorders, according to the following preliminary model. The model includes the elements of: 1) child abuse, including its developmental effects on seg- and body-concepts; 2) vulnerable temperaments; 3) predisposition to comorbid conditions, particularly aflective and alcoholl substance use disorders; 4) deficits in aflect regulation; and 5) family andlor peer environments emphasizing weight, appearance, and dieting.