Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychological Features of Extreme Political Ideologies

In this article, we examine psychological features of extreme political ideologies. In what ways are political left- and right-wing extremists similar to one another and different from moderates? We propose and review four interrelated propositions that explain adherence to extreme political ideologies from a psychological perspective. We argue that (a) psychological distress stimulates adopting an extreme ideological outlook; (b) extreme ideologies are characterized by a relatively simplistic, black-and-white perception of the social world; (c) because of such mental simplicity, political extremists are overconfident in their judgments; and (d) political extremists are less tolerant of different groups and opinions than political moderates. In closing, we discuss how these psychological features of political extremists increase the likelihood of conflict among groups in society.
The chronic consequences of severe sepsis

The early events of severe sepsis set in motion a cascade of events that significantly contributes to the morbidity and mortality observed during the first few days of this syndrome. Although sepsis is a deadly, acute disease, survivors also suffer long‐term consequences. Clinical data underscore subsequent high mortality rates associated with patients who are long‐term survivors of the acute septic episode. Within 1 year of surviving severe sepsis, there is a 26% predicted mortality rate, and many patients succumb to lung complications. In this review, we focus on the cellular and molecular mechanisms that dictate the longer‐term sequela of sepsis and related lung injury. We have established a murine model of experimental sepsis [cecal ligation and puncture (CLP)], which results in an approximate 60% survival rate. Our studies have demonstrated that these survivors are susceptible to a fungal infection with 100% mortality when challenged 3 days or 15 days post‐recovery from the initial CLP. This increased mortality correlates with changes in cytokines and Toll‐like receptor expression and alterations in lung leukocyte populations. We hypothesize that the lung becomes predisposed to nosocomial infections for extended periods of time after severe sepsis via mechanisms that include alterations in inflammatory cytokines and an increase in immunomodulatory chemokines, such as monocyte chemoattractant protein‐1 and C10. These mediators may alter the innate‐immune response by affecting dendritic cells and macrophages, which could provide a mechanism for the immunosuppression observed following sepsis.
Applying a Method to Extend Lattice-valued Fuzzy Negations Generated from T-conorms Using Retractions

It is proposed in [Extension of Fuzzy Logic Operators Defined on Bounded Lattices via Retractions, Computer & Mathematics with Applications, 63: 1026–1038, 2012] a method for extending t-norms, t-conorms and fuzzy negations from a sublattice M of bounded lattice L considering a relaxed notion of sublattices. In this work we apply this method to extend a class of fuzzy negations constructed from t-conorms and test which properties of these negations are preserved by this extension. Moreover, we prove some related results involving automorphisms.
A combined coordination technique for Multi-Agent Path Planning

Multi-Agent Path Planning (MAPP) can be considered the basic building block for implementing a reliable Multi-Agent Systems capable for interacting with real world. MAPP main task is how to get the appropriate path for movable agents where each agent is considered a dynamic obstacle to the others. Planning the exact path for each movable agent in a highly dynamic environment is a difficult task. This paper presents a combined coordination technique for solving MAPP problem; this technique takes the benefits of both agents' capabilities and system resources when available. Moreover it combines three planning algorithms, namely; task allocation using extended global assignment problem model, Checkpoint Priority Action Database algorithm for MAPP coordination and Potential Fields Methods for local path planning.
IL-15 Participates in the Respiratory Innate Immune Response to Influenza Virus Infection

Following influenza infection, natural killer (NK) cells function as interim effectors by suppressing viral replication until CD8 T cells are activated, proliferate, and are mobilized within the respiratory tract. Thus, NK cells are an important first line of defense against influenza virus. Here, in a murine model of influenza, we show that virally-induced IL-15 facilitates the trafficking of NK cells into the lung airways. Blocking IL-15 delays NK cell entry to the site of infection and results in a disregulated control of early viral replication. By the same principle, viral control by NK cells can be therapeutically enhanced via intranasal administration of exogenous IL-15 in the early days post influenza infection. In addition to controlling early viral replication, this IL-15-induced mobilization of NK cells to the lung airways has important downstream consequences on adaptive responses. Primarily, depletion of responding NK1.1+ NK cells is associated with reduced immigration of influenza-specific CD8 T cells to the site of infection. Together this work suggests that local deposits of IL-15 in the lung airways regulate the coordinated innate and adaptive immune responses to influenza infection and may represent an important point of immune intervention.
Partially Thrombosed Intracranial Aneurysms Presenting with Mass Effect: Long-Term Clinical and Imaging Follow-Up after Endovascular Treatment

BACKGROUND AND PURPOSE: Partially thrombosed aneurysms as a distinct entity form a diverse collection of complex aneurysms characterized by organized intraluminal thrombus and solid mass. Endovascular treatment options are PVO or selective coil occlusion of the remaining lumen. We present long-term clinical and angiographic results of endovascular treatment of unruptured partially thrombosed aneurysms that presented with symptoms of mass effect. MATERIALS AND METHODS: Between 1994 and 2008, 30 partially thrombosed aneurysms were treated by selective coiling and 26 by PVO. Of 56 aneurysms, 53 (95%) were large or giant. Neurologic recovery during a mean clinical follow-up of 42.7 months was established. Evolution of aneurysm size during a mean follow-up of 26.6 months in 46 patients was assessed with MR imaging. RESULTS: Seventeen of 56 patients (30%) fully recovered, 22 patients (39%) partially recovered, 11 patients (20%) were unchanged, and 6 patients (11%) died. Complete recovery more often occurred after PVO than after coiling (12 of 26 versus 5 of 30, P = .02). Aneurysm size reduction occurred more often after PVO (17 of 18 versus 2 of 28, P < .001). Five aneurysms continued to grow after coiling, resulting in death in 3. During follow-up, 27 additional treatments were performed in 19 patients, all treated with coiling. CONCLUSIONS: In partially thrombosed aneurysms presenting with mass effect, the results of PVO are much better than those of selective coiling. After coiling, additional treatments are often needed, and some aneurysms keep growing. When PVO is not tolerated or not possible, surgical options should be considered before proceeding with coiling.
Effects of a pro-social default manipulation on subsequent cheating behaviour

This study aimed to examine possible spillover effects of a prosocial default manipulation on subsequent cheating (pro-self) behaviour. 67 participants completed a laboratory experiment, where they first did a time estimation and construction task, then were subjected to either a pro-social or a pro-self default donation choice after which they were given the opportunity to cheat in a lottery. A significant difference on donation choices was found between default groups, such that more participants donated their bonus in the pro-social default condition. No significant spillover effect was however found between groups. This may be explained by small sample size and low cheating behaviour overall. Suggestions for further research are larger sample size and a more easily rationalizable cheating task. The choices people make on a daily basis have great impact on society, although they may not always be well thought through or rational. Long-term positive consequences are not always guiding decisions, as can be seen in decisions about diet, smoking, drinking, savings, environmental behaviour etcetera. One way of helping people make better decisions is choice architecture interventions, also known as nudges (Thaler & Sunstein, 2009). The term “choice architecture” refers to the structure in how a certain choice is presented to the person choosing, an intervention which can greatly affect which choice he or she makes. There are different types of choice architecture interventions, such as incentives, feedback, structure of complex choices and default alternatives (Thaler, Sunstein & Balz, 2013). A default alternative is a choice option that doesn’t require any active choice. Research shows that if an alternative is presented as a default, people tend to choose this option due to minimal effort, implied endorsement and reference dependence (Johnson & Goldstein, 2013; Thaler, Sunstein & Balz, 2013). A default alternative is effortless to choose, especially if the active choice of another alternative requires filling out and posting a form or some other timeconsuming action. Another type of effort is having to consider different alternatives and form an active opinion about which choice is preferable. By accepting the default this effort can then be avoided (Johnson & Goldstein, 2013). One everyday example is that many people keep the default options for screen saver on their computers (Thaler, Sunstein & Balz, 2013). The same effect can be seen in more substantial choices such as organ donation, where an opt-out system renders a much higher donation proportion than an opt-in system. The effort of making the active choice to opt in as an organ donor seems to be too large, even for those having a preference to donate (Johnson & Goldstein, 2003). Furthermore, the implied endorsement of a default alternative means that people tend to see the default as a recommended alternative by someone more competent, the default gives information about what the right thing to do is. For someone not having a strong opinion this may ease the choice (Johnson & Goldstein, 2013). The
Modelling background charge rearrangements near single-electron transistors as a Poisson process

Background charge rearrangements in metallic single-electron transistors are modelled in two-level tunnelling systems as a Poisson process with a scale parameter as only variable. The model explains the recent observation of asymmetric Coulomb blockade peak spacing distributions in metallic single-electron transistors. These distributions are consistent with charge trapping processes within impurities located between transistor island and gate. From the scale parameter determined, we estimate the average size of the tunnelling systems, their density of states, and the height of their energy barrier.
Internet Public Opinion Hotspot Detection and Analysis Based on Kmeans and SVM Algorithm

Rapid progress of network arouses much attention on Internet public opinion, it is important to grasp the internet public opinion in time and understand the trends of their opinion correctly. Text mining plays a fundamental role in categorization and monitoring of internet public opinion, but internet public opinion is much more difficult than pure-text process because of their semi-structured characteristic. To address this issue, we propose a model for internet public opinion hotspot detection and analysis. Due to the text format of internet public opinion, we introduce the traditional vector space model (VSM) to express them, and then use Kmeans algorithm to perform text clustering on a corpus collected from some news website, and use SVM classifier to perform text categorization for new text opinion analysis, the result of the experiment shows that the efficiency and effectiveness of such method.
High-speed low-power FinFET based domino logic

This paper introduces a novel FinFET based domino logic, which exploits the exclusive property of the FinFET device (capacitive coupling between front-gate and back-gate in a four-terminal (4T) FinFET) to simultaneously achieve higher performance and lower power consumption. Using a new implementation of the resistive gate, the keeper device is made weaker at the beginning of the evaluation phase to reduce its contention with the pull-down network, but gradually becomes stronger to provide high noise margin. The strength of the keeper device is controlled by the differential gate voltage, which guarantees low gate-source voltage at the beginning of the evaluation phase and high gate-source voltage during rest of the time.
Combination of Improved PCA and LDA for Video-based Face Recognition ⋆

While face recognition from a still image has been extensively studied over a decade, video-based face recognition is an emerging topic. One of the hard problems in this area is how to effectively recognize human face with illumination variations. To address the problem, a novel approach is presented in this paper. Firstly, in the context of Principal Component Analysis, the image enhancement is introduced to solve the problem of illumination variations. Then, the improved PCA is combined with LDA to recognize human faces in video sequences. Recognition is performed using the Euclidean distance to compute distances between the target face and gallery video sequences. The experiment demonstrates that our method recognizes target faces accurately and robustly.
Usability in practice: Perception and practicality of management and practitioners

Usability has been plagued in many years since the birth of the term called human computer interaction. Many studies have proved numerous benefits gained from usability, from the software product specifically to the business as a whole. Moreover, international standards, and guidelines have incorporated usability in the quality assessment. As there is growth of software consultancy industry in the recent years and the concept and theories have been introduced in the education curriculum in Malaysia, we are wondering if the practice of usability is in the ICT industry specifically in the interactive computer-based system. We have developed a preliminary qualitative and quantitative assessment for both managers and practitioners in the ICT companies in Klang valley, Malaysia. The purpose of the assessment is to understand and to evaluate the practice of usability among practitioners in ICT companies in Malaysia. The research uses both structured questionnaire and follow-up by semi-structured interview either through face-to-face or email. The pilot result shows that average scale range from 4 to 4.6 out of 5 perceptively and practically importance putting usability in determines a project success, average scale range from 3.4 to 3.8 out of 5 agree to put usability concept in their practice of design and development, and average scale range from 3.8 to 4.1 out of 5 perceptively and practically importance to include usability criteria in their designed system.
Two Stage GP-UCB for Open Loop Grasping

In this project I attempt to learn open loop grasping parameters by implementing a two stage Gaussian Process (GP) based Upper Confidence Bound bandit solving algorithm. Through the course of the project, parametrized grasping strategies were developed, grasp verification using soft fingers via tandem grasp was developed, the bandit algorithm to exploit minimal number of robot interactions and learn parameters was developed, and rudimentary block detection algorithm was developed.
When ecosystem services interact: crop pollination benefits depend on the level of pest control

Pollination is a key ecosystem service which most often has been studied in isolation although effects of pollination on seed set might depend on, and interact with, other services important for crop production. We tested three competing hypotheses on how insect pollination and pest control might jointly affect seed set: independent, compensatory or synergistic effects. For this, we performed a cage experiment with two levels of insect pollination and simulated pest control in red clover (Trifolium pratense L.) grown for seed. There was a synergistic interaction between the two services: the gain in seed set obtained when simultaneously increasing pollination and pest control outweighed the sum of seed set gains obtained when increasing each service separately. This study shows that interactions can alter the benefits obtained from service-providing organisms, and this needs to be considered to properly manage multiple ecosystem services.
The Next Generation of Psychotherapy Research: Reply to Ablon and Marci (2004), Goldfried and Eubanks-Carter (2004), and Haaga (2004).

The commentaries on D. Westen, C. M. Novotny, and H. Thompson-Brenner’s (2004) review suggest a number of questions, such as how an empirically informed clinician can integrate both applied and basic science into practice. The authors suggest recommendations for design and funding of psychotherapy research, including expanding the targets of intervention beyond categorical DSM–IV diagnoses, routinely comparing shortand longer term variants of experimental treatments, revising funding mechanisms to facilitate the study of treatments and follow-up assessments of appropriate duration for the problems they are targeting, requiring at least one “dissenter” on every research team, discouraging exclusion criteria other than those a reasonable clinician would use in everyday practice, creating funding mechanisms for developing and testing treatments in the community, and including practicing clinicians among reviewers of grant proposals.
Towards overlay network in virtual computing environment

The potential of wide-area distributed computing systems has not been fully exploited. Resource virtualization gradually is used to promote its computing performance. However, the existing of NAT in networks hinders the communication among distributed systems. This paper argues a structure to solve the obscured connectivity problems with combining virtual machines and virtual networks, and presents an idea of overlay structure, which overcomes the NAT limitation in distributed systems. The overlay structure can support a number of links among guest operating systems in virtual machines, even if the virtual machine monitor is configured as NAT network.
Quantum Query Complexity of State Conversion

State conversion generalizes query complexity to the problem of converting between two input-dependent quantum states by making queries to the input. We characterize the complexity of this problem by introducing a natural information-theoretic norm that extends the Schur product operator norm. The complexity of converting between two systems of states is given by the distance between them, as measured by this norm. In the special case of function evaluation, the norm is closely related to the general adversary bound, a semi-definite program that lower-bounds the number of input queries needed by a quantum algorithm to evaluate a function. We thus obtain that the general adversary bound characterizes the quantum query complexity of any function whatsoever. This generalizes and simplifies the proof of the same result in the case of boolean input and output. Also in the case of function evaluation, we show that our norm satisfies a remarkable composition property, implying that the quantum query complexity of the composition of two functions is at most the product of the query complexities of the functions, up to a constant. Finally, our result implies that discrete and continuous-time query models are equivalent in the bounded-error setting, even for the general state-conversion problem.
Towards peer-to-peer-based cryptanalysis

Modern cryptanalytic algorithms require a large amount of computational power. An approach to cope with this requirement is to distribute these algorithms among many computers and to perform the computation massively parallel. However, existing approaches for distributing cryptanalytic algorithms are based on a client/server or a grid architecture. In this paper we propose the usage of peer-to-peer (P2P) technology for distributed cryptanalytic calculations. Our contribution in this paper is three-fold: We first identify the challenges resulting from this approach and provide a classification of algorithms suited for P2P-based computation. Secondly, we discuss and classify some specific cryptanalytic algorithms and their suitability for such an approach. Finally we provide a new, fully decentralized approach for distributing such computationally intensive jobs. Our design takes special care about scalability and the possible untrustworthy nature of the participating peers.
$$3urrii6\vwhpiru 7lphgg$xwrpdwd a Proof System for Timed Automata

A proof system for timed automata is presented, based on a CCS-style language for describing timed automata. It consists of the standard monoid laws for bisimulation and a set of inference rules. The judgments of the proof system are conditional equations of the form t = u where is a clock constraint and t, u are terms denoting timed automata. It is proved that the proof system is complete over the recursion-free subset of the language. The completeness proof relies on the notion of symbolic timed bisimulation. Two variations of the axiomatisation are also discussed, one on timed automata by associating an invariant constraint to each node and the other on bisimulation by abstracting away delay transitions.
Meet me in the middle: dual origins of dermal lymphatic vasculature in mammals.

A network of thin-walled lymphatic vessels is present in virtually every tissue of the body, where it carries out several important functions, such as transport of antigen-presenting cells to lymph nodes, uptake of dietary fat, and maintenance of interstitial fluid balance. The importance of the lymphatic vasculature to human pathology is only now beginning to be appreciated, as it becomes increasingly clear that lymphatic vessels play important roles in a host of common diseases, ranging from cancer metastasis to atherosclerosis and hypertension.1 Research in the past 2 decades has tremendously improved our understanding of molecular mechanisms involved in the regulation of lymphatic vasculature and its function. In particular, the atypical homeobox transcription factor Prox1 plays a key role in establishing and maintaining mammalian lymphatic endothelial cell (LEC) identity,2–4 whereas the Ccbe1/Adamts3/Vegf-c/Vegfr-3 signaling cascade is essential for LEC proliferation, migration, and survival.5–7 Novel therapies, which are a direct result of this knowledge, are now being developed for treatments that both promote lymphatic vessel regeneration and block excessive lymphangiogenesis. However, full comprehension into the intricacies of LEC biology is still being developed. The work of Martinez-Corral et al,8 based on lineage-tracing analyses of genetic mouse models, now provides first insights into an unexpected complexity of LEC origins in mammals. Article, see p 1649 Historically, there have been 2 main hypotheses about the origin of the lymphatic vasculature. One idea proposed by Sabin9 was that lymphatic vessels arise from veins during embryogenesis. On the basis of India ink injections in pig embryos, Sabin9 demonstrated expansion of ink-filled lymphatic vessels from the areas of primitive lymph sacs, located near cardinal veins, toward the periphery. These data suggested that lymphatic vessels grow in a centrifugal manner by sprouting from the pre-existing venous endothelium. A second …