Miracle-dz/UniFAR-FTUs huggingface dataset:
Minority Influence and the Struggle for Recognition: Towards an Articulation between Social Influence Research and Theory of Recognition

influence research (Pérez & Mugny, 1986) with Honneth’s work on recognition (1996). Drawing upon the German philosopher’s theory, I contend that conflictual social relations between majorities and minorities originate from denials of recognition that tap the diverse forms of modern prejudice and discrimination (Sanchez-Mazas, 2004). This perspective has been used as a general framework into which we have integrated social psychological approaches of prejudice and recent empirical findings (Licata, Sanchez-Mazas & Green, 2011). Holding prejudiced attitudes towards ethnic minorities or immigrants is one of various ways of denying them recognition. The targets of prejudice and discrimination are therefore to be categorized as outgroups from the majority viewpoint, since these groups – ethnic minorities, immigrants or people of immigrant descent, asylum seekers – do not benefit the rights and/or esteem that are granted by default to majority members. This is of particular interest for a conceptualization of outgroup minority influence framed in terms of struggle for recognition within diverse historical contexts. Minority Influence and Intergroup Relations Taking a societal perspective, I will disentangle the notion of social influence, which comprises minority and majority influence, from the study of attitude change (Eagly & Chaiken 1984, 1993; Petty & Cacioppo, 1981; Yzerbyt & Corneille, 1994). This distinction seems relevant since the study of influence processes aims not only at accounting for individuals’ receptiveness or resistance to attempts at modifying their attitudes, but, more broadly, at providing explanations of social change that involve subjective factors, notably collective action and innovation stemming from active minorities (Butera, Falomir-Pichastor, Mugny & Quiamzade, 2017; Moscovici, 1976; Moscovici, Mugny & Van Avermaet, 1985). More precisely, I will reappraise a historical controversial issue of outgroup minority influence that was running through the ’80s and ’90s, in order to stress the political and societal significance of Mugny’s view of minority persuasion as stemming from conflicts of viewpoints, rather than ingroup allegiances (Mugny, 1982; Mugny & Pérez, 1991). The former can be considered as representative of the genetic model of minority influence (Moscovici & Ricateau, 1972; Moscovici, 1976; see also Alvaro & Crano, 2017) while the latter are characteristic of a model of minority influence based on the self-categorization theory (Turner, Hogg, Sanchez-Mazas, M. (2018). Minority Influence and the Struggle for Recognition: Towards an Articulation between Social Influence Research and Theory of Recognition. International Review of Social Psychology, 31(1): 8, 1–8, DOI: https://doi.org/10.5334/irsp.41
Proceedings of the Automated Reasoning Workshop 2017 ARW ’ 17 3 rd – 4 th April 2017 University of Bristol Bristol , United Kingdom

The Conflict-Driven Clause Learning (CDCL) procedure works by guessing truth assignments to atoms, propagating their consequences through clauses, explaining conflicts by resolution, and learning new clauses, when assignments lead to conflicts. The success of CDCL in moving SAT-solving from theoretical hardness to practical success, suggests the challenge of generalizing the concept of conflict-driven reasoning. SGGS (Semantically-Guided Goal-Sensitive reasoning) lifts CDCL to first-order logic. CDSAT (ConflictDriven Satisfiability) does the same for satisfiability modulo theories, introducing the more general problem of satisfiability modulo assignments. This talk gives an overview of the conflict-driven paradigm and then focuses on key features of CDSAT. (SGGS is joint work with David A. Plaisted; CDSAT is joint work with Stphane Graham-Lengrand and Natarajan Shankar.)
SMOOTH KERNELS IMPROVE ADVERSARIAL ROBUST-

Recent research has shown that CNNs are often overly sensitive to high-frequency textural patterns. Inspired by the intuition that humans tend to be more sensitive to lower-frequency (larger-scale) patterns, we design a regularization scheme that penalizes large differences between adjacent components within each convolutional kernel. We apply our regularization onto several popular training methods, demonstrating that the models with the proposed smooth kernels enjoy improved adversarial robustness. Further, building on recent work establishing connections between adversarial robustness and interpretability, we show that our method appears to give more perceptually-aligned gradients.
Patient safety at psychiatric hospitals and its relationship with organizational culture (comparative study)

Background: Recently, psychiatric health is considered a unique scope in promoting rights of patient safety, although there are few scientific researches that provide information about patient safety frameworks, coaching, politics and providing suitable patient care without harm Aim: this study aimed to assess the relation between patient safety and organizational culture inpatient care at psychiatric hospitals. Design: descriptive correlational design. Setting: This study was carried out at Mansoura & Benha Psychiatric hospital. Sample: All nurses worked at the studied hospitals. Tools: two tools were used, WHO Medical School Curricular Guide for Patient Safety and Organizational Culture Assessment Instrument. Results: there is a highly significant correlation between patient safety and organizational culture inpatient care at Mansoura Psychiatric hospital in opposite to Benha Psychiatric hospital. Conclusion: There are other factors rather than Organizational culture affects patient safety as patients, physical environment, and care provider factors. Recommendation: Develop patient safety culture as an important part from organizational culture.
Dynamics f " Policy π " ( x ) Environment State Transitions RewardTrajectories Training : Maximum Likelihood Objective Mismatch Control Interacts Responses

Model-based reinforcement learning (MBRL) has been shown to be a powerful framework for data-efficiently learning control of continuous tasks. Recent work in MBRL has mostly focused on using more advanced function approximators and planning schemes, leaving the general framework virtually unchanged since its conception. In this paper, we identify a fundamental issue of the standard MBRL framework – what we call the objective mismatch issue. Objective mismatch arises when one objective is optimized in the hope that a second, often uncorrelated, metric will also be optimized. In the context of MBRL, we characterize the objective mismatch between training the forward dynamics model w.r. t. the likelihood of the one-step ahead prediction, and the overall goal of improving performance on a downstream control task. For example, this issue can emerge with the realization that dynamics models effective for a specific task do not necessarily need to be globally accurate, and vice versa globally accurate models might not be sufficiently accurate locally to obtain good control performance on a specific task. In our experiments, we study this objective mismatch issue and demonstrate that the likelihood of the one-step ahead prediction is not always correlated with downstream control performance. This observation highlights a critical flaw in the current MBRL framework which will require further research to be fully understood and addressed. We propose an initial method to mitigate the mismatch issue by reweighting dynamics model training. Building on it, we conclude with a discussion about other potential directions of future research for addressing this issue.
UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL FACULDADE DE MEDICINA PROGRAMA DE PÓS-GRADUAÇÃO EM PSIQUIATRIA E CIÊNCIAS DO COMPORTAMENTO

The longitudinal course of bipolar disorder is highly variable, and a subset of patients seems to present a progressive course associated with brain changes and functional impairment. In our first article, we discussed the theory of neuroprogression in bipolar disorder. This concept considers the systemic stress response that occurs within mood episodes and late-stage deficits in functioning and cognition as well as neuroanatomic changes. We also discuss treatment refractoriness that may take place in some cases of bipolar disorder. We searched PubMed for articles published in any language up to June 4th, 2016. We found 315 abstracts and included 87 studies in our review. We are of the opinion that the use of specific pharmacological strategies and functional remediation may be potentially useful in bipolar patients at late-stages. New analytic approaches using multimodal data hold the potential to help in identifying signatures of subgroups of patients who will develop a neuroprogressive course. Based on our hypothesis of neuroprogression, we decided to perform a randomized clinical trial with tianeptine as adjunctive treatment for bipolar disorder in order to improve functional impairment and increase serum Brain-Derived Neurothrophic Factor BDNF levels. Tianeptine is a safe medication that acts on the glutamatergic system and has an antidepressant effect. The present study aimed at assessing the efficacy and tolerability of tianeptine as an adjunctive treatment for bipolar depression. We performed an enriched maintenance multi-center doubleblind randomized controlled trial of tianeptine 37•5mg/day. Participants (n = 161) had a Montgomery Asberg Depression Rating Score ≥12 at trial entry. After eight weeks of open-label tianeptine treatment, those who responded to tianeptine were randomized to adjunctive tianeptine or placebo in addition to usual treatment. Participants were recruited from public health services and through advertisement. Time to any intervention was the primary endpoint of the study. Changes in mood symptoms, functioning, biological rhythms, quality of life, rates of mania switch and serum BDNF assessments were considered as secondary outcomes. There was a robust decrease in depressive symptoms along with improvements in functioning, quality of life and biological rhythms scores during the eight-week open-label tianeptine treatment phase. During the subsequent 24-week double-blind controlled phase, there was no difference regarding the primary outcome: time to intervention.
Psychosocial and Psychological Challenges Faces Women Diagnosed with Cancer

According to the American Cancer Society (2015), there were approximately 231,840 new cases of breast cancer diagnosed with nearly 40,290 deaths related to this type of cancer in 2015. Furthermore, 67,770 new cases of uterine cancer were diagnosed in 2015 with almost 14,270 related deaths from this form of cancer. Research has shown that women diagnosed with cancer also experience psychosocial issues and psychological distress. Through this paper, we will identify specific psychosocial and mental health challenges women face when diagnosed with cancer. Specifically, we will research depression, anxiety and posttraumatic stress disorder (PTSD) and ways in which these psychological factors manifest within the cancer diagnosis. Once these psychosocial issues and psychological distress’ are identified, we will research evidenced based therapeutic interventions that can be beneficial in assisting women in processing through their cancer journey throughout many different stages and phases.
Circular Interpolation for Morphing 3D Facial Animations

In this paper, we present a novel shape interpolation method that gives very good results for mesh morphing 3D facial animations. Our method interpolates vertices using circle arcs, thus generating, in a preprocessing algorithm, a specific circle center in 3D cartesian space for each pair of vertices. The arc is more or less accentuated, depending on the coordinates which the algorithm chooses for the circle center. These are calculated depending on the relation between the two vertex normals that correspond to the initial vertex and target vertex, and thereby a novel vertex normal weighting method is presented. The efficiency of our algorithm was tested on several facial animation examples with most dissimilar geometries and with very different features, and the results verify the fact that our method gives undoubtedly better results than linear interpolation does, avoiding the undesired and unnatural shrinkage problem which occurs in the latter case. Moreover, our method strikes significantly better computational costs as compared to other non-linear shape interpolation methods developed so far, which is a major advantage. Key-words: Circular Interpolation, Vertex Normals, 3D Facial Animations, Morphing, Blend Shapes.
Laying the Foundations for a Diachronic Dictionary of Tunis Arabic: a First Glance at an Evolving New Language Resource

Arabic lexicography has a long tradition. However, at the time of writing this report, there exist only a very few digital products, let alone products documenting Arabic dialects. Our paper presents the TUNICO project (Linguistic Dynamics in the Greater Tunis Area) and digital language resources which are being produced as part of the project. The TUNICO working group is working on a digital diachronic dictionary of Tunis Arabic which is being compiled as part of a larger linguistic endeavour to document the variety of the Tunisian capital. One of the interesting features of the project is that it draws on a number of heterogeneous sources: text books, grammatical descriptions and a corpus of spoken youth language which is currently being compiled. In this project, the dictionary is used as an analytical tool, as a research instrument, by integrating the various sources into one new coherent language resource thus allowing researchers to gain unprecedented insights in material that partly has been available for quite some time.
ICLR 2020 Function set : Agent ? ? ? ? Graph states input Agent ? ? ? ?

A general graph-structured neural network architecture operates on graphs through two core components: (1) complex enough message functions; (2) a fixed information aggregation process. In this paper, we present the Policy Message Passing algorithm, which takes a probabilistic perspective and reformulates the whole information aggregation as stochastic sequential processes. The algorithm works on a much larger search space, utilizes reasoning history to perform inference, and is robust to noisy edges. We apply our algorithm to multiple complex graph reasoning and prediction tasks and show that our algorithm consistently outperforms state-of-the-art graph-structured models by a significant margin.
FLAT MANIFOLD VAES

Latent-variable models represent observed data by mapping a prior distribution over some latent space to an observed space. Often, the prior distribution is specified by the user to be very simple, effectively shifting the burden of a learning algorithm to the estimation of a highly non-linear likelihood function. This poses a problem for the calculation of a popular distance function, the geodesic between data points in the latent space, as this is often solved iteratively via numerical methods. These are less effective if the problem at hand is not well captured by first or secondorder approximations. In this work, we propose less complex likelihood functions by allowing complex distributions and explicitly penalising the curvature of the decoder. This results in geodesics which are approximated well by the Euclidean distance in latent space, decreasing the runtime by a factor of 1,000 with little loss in accuracy.
Triangle Grouping and Structure Recovery for 3D Building Modelling and Visualization

Location based and spatial technologies research for the web has endless application for mobile/position content delivery (m-commerce or pcommerce). By exploiting the inherent location-based intelligence of the underling spatial component, relevant examples can include geometrically accurate and photo realistic virtual representations for: property assessments; land/marine information systems; routing information; on-line shopping; cultural heritage/tourist information/sites; etc. A major challenge for this technology is its reliance on professional developers when creating the virtual worlds used for web-based navigation of these services. This paper describes SAMATS, a Semi-Automated Modeling And Texturing System, which has the capability of producing geometrically accurate and photorealistic VR building models for web-based p-commerce applications from a set of geo-referenced terrestrial images. This paper describes the second of three main components that comprise the full functionality of the complete SAMATS implementation. It focuses on the triangle grouping and structure recovery steps, while providing an overview of SAMATS’ other components.
Microsoft Word-Final Souvenir Science and Scientist-2016.docx

References 1. Ernst, Peter Fischer; Lipson, Carol (1988). Thinking about Science: Max Delbrück and the origins of molecular biology. New York: Norton. ISBN 9780393025088. 2. Dronamra 1071-6. 3. Kevin A. Janes & Michael B. Yaffe Data Molecular Cell Biology 7, 820 4. Trey Ideker, Timothy Galitski, and Leroy Hood A NEW APPROACH TO DECODING LIFE: Systems Biology; Annual Review of Genomics and Human Genetics, Vol. 2: 343 5. Allen A. Cheng and Timothy K. Lu Synthetic Biology: An Emerging Engineering Discip Biomedical Engineering; Vol. 14: 155 6. HG Garcia, RC Brewster, R Phillips Using synthetic biology to make cells tomorrow's test tubes; Biology, 2016 Apr 18;8(4): 431 7. Clyde A. Hutchison et al (J. Crai 25 Mar 2016, Vol. 351, Issue 6280. 8. Yun Fan & Andreas Bergmann, Apoptosis Cell! ; Trends in Cell Biology ; Vol 9. West SA, Griffin AS, Gardner A. Social semantics: altruism, cooperation, mutualism, strong reciprocity and group selection. J Evol Biol. 2007 Mar; 20(2): 415 10. Gillings MR Integrons: past, present, a 11. Veresoglou SD, Halley JM, Rillig MC Extinction risk of soil biota. Nat Commun. 2015 Nov 23; 6:8862. When we take a position that consciousness is an absolute consciousne be described as systems described as systems systems means introducing heterogeneity in otherwise homogenous, uniform, unconditional consciousness. With introduction of the systems, such as brain, of consciousness. Also during such occurrence, there is generation of a structure and process acts as an organ of communication between two conscious systems. Further, consciousness could be studied better in the systems which is live, systems which is not only self and ‘life’ within the systems are relevant co consciousness itself might be de tailor-made, system consciousness within the systems is customarily called ‘self’. Moreover outside the systems, is neither inert nor non -prowess. Impasses demand that we int -mechanics does not overwhelm us. Staying beyond the level of mind, at a “non -pools before they cease to exist (10), even extinct species pass on their living matter to surviving ju KR. "Erwin Schrödinger and the origins of molecular biology". Genetics. 1999 Nov; 153(3):
On the Design of an Efficient Hardware Accelerator for Large Scale Graph Analytics

Graph analytic applications have gained traction as an expressive alternative to mine rich insights but are often suffered from memory latency and bandwidth bound issues over general purpose computing. In our study, we focus on designing a hardware accelerator to improve the efficiency of large scale graph processing while mitigating these problems. We will review existing hardware accelerator approaches for graph computation that exhibit specialized computation patterns including irregular memory accesses, iterative processing, and burst workloads. We will discuss key design choices on designing such approaches to gain advantage over graph execution characteristics. Further, a comparison over different approaches will be provided with experimental results.
The SAGE Handbook of Organization Studies, Second Edition Leadership in Organizations

Leadership is still not an easy concept to define. Its widespread currency and use in everyday life as an explanation affects the way it is defined and indeed probably makes it more difficult to define than a concept that is invented as an abstraction ab initio. Most definitions of leadership have tended to coalesce around a number of elements which can be discerned in the following definition by a researcher whose work had a profound impact on one of the stages of theory and research to be encountered below:
State paternalism and institutional degradation at Treesleeper Eco-camp: Community-based tourism and the loss of sovereignty among Bushmen in Namibia

ABSTRACT The Namibian government promotes community-based tourism (CBT) as market-based development. At Treesleeper Eco-camp, a CBT-project among marginalised Hai//om and ! Xun Bushmen (San), we investigate how Bushmen's historically developed paternalist relations shape contemporary local institutional processes. Institutional design principles, seen as prerequisites for stable and robust institutions (norms, rules and regulations), and thus successful CBT, are used to analyse local changes of the project in relation to a government grant. Ironically, after the grant, Treesleeper generated less income and the consequent ‘upgrade’ intensified conflicts. This study shows that community control, ownership and participation are key factors for successful CBT-projects, but currently the state has obstructed these, just as various other ‘superior’ actors have also done (throughout history) in relation to ‘inferior’ Bushmen. We argue that paternalist ideologies perpetuate today in the Bushmen's relation with the state, leading to weaker institutions locally through dispossession of their sovereignty.
Combination of Broccoli Sprout Extract and Zinc Provides Better Protection against Intermittent Hypoxia-Induced Cardiomyopathy Than Monotherapy in Mice

Nuclear factor-E2-related factor 2 (Nrf2) and metallothionein have each been reported to protect against chronic intermittent hypoxia- (IH-) induced cardiomyopathy. Sulforaphane-rich broccoli sprout extract (BSE) and zinc can effectively induce Nrf2 and metallothionein, respectively, to protect against IH-induced cardiomyopathy via antioxidative stress. However, whether the cardiac protective effects of the combination of BSE and zinc can be synergistic or the same has not been evaluated. In this study, we treated 8-week-old C57BL/6J mice with BSE and/or zinc during exposure to IH for 8 weeks. Cardiac dysfunction, as determined by echocardiography, and pathological remodeling and abnormalities, including cardiac fibrosis, inflammation, and oxidative damage, examined by histopathology and western blotting, were clearly observed in IH mice but were not significant in IH mice treated with either BSE, zinc, or zinc/BSE. Furthermore, the effects of the combined treatment with BSE and zinc were always greater than those of single treatments. Nrf2 function and metallothionein expression in the heart increased to a greater extent using the combination of BSE and zinc than using BSE or zinc alone. These findings for the first time indicate that the dual activation of Nrf2 and metallothionein by combined treatment with BSE and zinc may be more effective than monotherapy at preventing the development of IH-induced cardiomyopathy.