Miracle-dz/UniFAR-FTUs huggingface dataset:
Pre and post-election 2010 online: What happened to the conversation?

Following the trend of election campaigns in the US in 2000, 2004, and particularly the 2008 Obama Presidential campaign and the 2010 UK election, Australians went to the polls in August 2010 in a media-hyped flurry of 'tweeting', YouTube videos, Facebook befriending and 'liking', blogging, and other social media activities. Research found that the volume of political communication through social media increased by more than 100 per cent in the 2010 Australian federal election compared with 2007. However, a question that has not been adequately explored is what happens with online political communication after the cacophony of electioneering fades away? Do the thousands of blogs, social networks, Twitter accounts, and photo and video sharing sites of politicians and political parties continue to seek citizen engagement, or do they fall silent once the prize of election has been won or lost? This article reports quantitative and qualitative content analysis of social media use by politicians during the 2010 federal election and analysis of Twitter use by the 10 most active social media users among Australian federal politicians in the 60 days immediately following the 21 August 2010 election to explore the extent to which social media are a permanent part of the mediated public sphere and, if so, how they are used outside election periods as well as during electioneering.
Experimental study of CW diode-pumped Nd:YAG regenerative amplifier

We demonstrate a 1-kHz repetition rate Nd:YAG regenerative amplifier bumped by a cw diode-pumped module with radial side-pumped methods, in which seed pulse generated by an all solid state Nd:YVO4 laser. The single amplified pulse energy is 1.5mJ, The pulse width is 6ps, corresponding to the magnification factor is more than 106.
Onset and Remission of Psychosis in Parkinson's Disease: Pharmacologic and Motoric Markers

Psychosis is among the most disabling complications of Parkinson's disease (PD). The chronicity of PD psychosis remains understudied, and the relative importance of dopaminergic therapy versus the disease process itself in engendering psychosis remains unclear. The objective of this study was to examine pharmacologic and motoric correlates of PD psychosis onset and remission in a longitudinally monitored PD cohort.
Social Control and Contested Environmental Illness: The Repression of Ill Nuclear Weapons Workers

Using in-depth interviews, participant observation, and document analysis, we examine obstacles faced by a group of nuclear workers organizing to challenge the Oak Ridge Nuclear Reservation and the Department of Energy (DOE) over health grievances. The Coalition for a Healthy Environment (CHE) is comprised of ill employees, formed after workers from the nuclear facility realized a pattern of denial and resistance to their health concerns. We highlight environmental problems in Oak Ridge and share respondents’ narratives regarding the use of social control to limit mobilization. We focus on hard and soft forms of social control utilized by DOE/corporate management, physicians, and co-workers, conceptualizing repression on a continuum representing severity of harm. Social control tactics included on-the-job harassment in the form of task reassignment and layoffs, monitoring, lack of diagnosis and treatment, stigmatization, and ostracism. We also analyze how social control impacts CHE’s recruitment, tactics, and mobilization of resources and discuss implications for future research on ill workers and social control.
Bayesian test of independence and conditional independence of two ordinal variables

For analysis of contingency tables with large sample size, classical approaches using approximate methods have high power. However, when the sample size is small or some cells have frequencies less than 5, classical approaches are so conservative. Also asymptotic behavior may be poor when the table contains small counts. So, Bayesian test of independence for two-way contingency tables with ordinal variables is considered. The conditional independence of two ordinal variables given values of a controlling variable is also considered. To do these tests, gamma and partial gamma are used as association parameters for ordinal variables. Since gamma has a complex posterior form, it is intractable to compute directly the necessary inferential measures. So, a Dirichlet distribution is used as a prior distribution for the vector of cell probabilities, then the use of computational methods such as the Monte Carlo algorithm is introduced to generate samples from posterior distribution of gamma. Also, the Bayesian P-value and Bayes factor are obtained. In a simulation study, the choice of appropriate prior distribution for gamma is discussed and also the performance of gamma is compared to that of kappa. It is shown that, in contingency tables with ordinal variables, it is better to apply gamma as a measure of association. Some sensitivity analysis to the choice of prior are also performed on real applications.
The OptiMUM-study: EMDR therapy in pregnant women with posttraumatic stress disorder after previous childbirth and pregnant women with fear of childbirth: design of a multicentre randomized controlled trial

ABSTRACT Background: Approximately 3% of women develop posttraumatic stress disorder (PTSD) after giving birth, and 7.5% of pregnant women show a pathological fear of childbirth (FoC). FoC or childbirth-related PTSD during (a subsequent) pregnancy can lead to a request for an elective caesarean section as well as adverse obstetrical and neonatal outcomes. For PTSD in general, and several subtypes of specific phobia, eye movement desensitization and reprocessing (EMDR) therapy has been proven effective, but little is known about the effects of applying EMDR during pregnancy. Objective: To describe the protocol of the OptiMUM-study. The main aim of the study is to determine whether EMDR therapy is an effective and safe treatment for pregnant women with childbirth-related PTSD or FoC. In addition, the cost-effectiveness of this approach will be analysed. Method: The single-blind OptiMUM-study consists of two two-armed randomized controlled trials (RCTs) with overlapping design. In several hospitals and community midwifery practices in Amsterdam, the Netherlands, all eligible pregnant women with a gestational age between eight and 20 weeks will be administered the Wijma delivery expectations questionnaire (WDEQ) to asses FoC. Multiparous women will also receive the PTSD checklist for DSM-5 (PCL-5) to screen for possible PTSD. The clinician administered PTSD scale (CAPS-5) will be used for assessing PTSD according to DSM-5 in women scoring above the PCL-5 cut-off value. Fifty women with childbirth-related PTSD and 120 women with FoC will be randomly allocated to either EMDR therapy carried out by a psychologist or care-as-usual. Women currently undergoing psychological treatment or women younger than 18 years will not be included. Primary outcome measures are severity of childbirth-related PTSD or FoC symptoms. Secondary outcomes are percentage of PTSD diagnoses, percentage caesarean sections, subjective childbirth experience, obstetrical and neonatal complications, and health care costs. Results: The results are meant to provide more insight about the safety and possible effectiveness of EMDR therapy during pregnancy for women with PTSD or FoC. Conclusion: This study is the first RCT studying efficacy and safety of EMDR in pregnant women with PTSD after childbirth or Fear of Childbirth.
Constrained Optimization Via Genetic Algorithms

This paper presents an application of genetic algorithms (GAs) to nonlinear constrained optimization. GAs are general purpose optimization algorithms which apply the rules of natural genetics to explore a given search space. When GAs are applied to nonlinear constrained problems, constraint handling becomes an important issue. The proposed search algorithm is realized by GAs which utilize a penalty function in the objective function to account for violation. This extension is based on systematic multi-stage assignments of weights in the penalty method as opposed to single-stage assignments in sequential unconstrained minimization. The experimental results are satisfactory and agree well with those of the gradient type methods.
Ripply2 recruits proteasome complex for Tbx6 degradation to define segment border during murine somitogenesis

The metameric structure in vertebrates is based on the periodic formation of somites from the anterior end of the presomitic mesoderm (PSM). The segmentation boundary is defined by the Tbx6 expression domain, whose anterior limit is determined by Tbx6 protein destabilization via Ripply2. However, the molecular mechanism of this process is poorly understood. Here, we show that Ripply2 directly binds to Tbx6 in cultured cells without changing the stability of Tbx6, indicating an unknown mechanism for Tbx6 degradation in vivo. We succeeded in reproducing in vivo events using a mouse ES induction system, in which Tbx6 degradation occurred via Ripply2. Mass spectrometry analysis of the PSM-fated ES cells revealed that proteasomes are major components of the Ripply2-binding complex, suggesting that recruitment of a protein-degradation-complex is a pivotal function of Ripply2. Finally, we identified a motif in the T-box, which is required for Tbx6 degradation independent of binding with Ripply2 in vivo.
Individual meaning‐centered psychotherapy for the treatment of psychological and existential distress: A randomized controlled trial in patients with advanced cancer

Patients with advanced cancer have high rates of psychological distress, including depression, anxiety, and spiritual despair. This study examined the effectiveness of individual meaning‐centered psychotherapy (IMCP) in comparison with supportive psychotherapy (SP) and enhanced usual care (EUC) in improving spiritual well‐being and quality of life and reducing psychological distress in patients with advanced cancer.
Relationship of epitope glycosylation and other properties of blood group proteins to the immunogenicity of blood group antigens

The intrinsic properties of polypeptide blood group antigens that determine their relative immunogenicities are unknown. Because size, composition, charge, dose, and epitope glycosylation affect the immunogenicity of other polypeptides, we examined whether similar properties were related to the immunogenicity of blood group antigens.
The Impact of Initial Energy Reserves on Growth Hormone Resistance and Plasma Growth Hormone-Binding Protein Levels in Rainbow Trout Under Feeding and Fasting Conditions

The growth hormone (GH)–insulin-like growth factor I (IGF-I) system regulates important physiological functions in salmonid fish, including hydromineral balance, growth, and metabolism. While major research efforts have been directed toward this complex endocrine system, understanding of some key aspects is lacking. The aim was to provide new insights into GH resistance and growth hormone-binding proteins (GHBPs). Fish frequently respond to catabolic conditions with elevated GH and depressed IGF-I plasma levels, a condition of acquired GH resistance. The underlying mechanisms or the functional significance of GH resistance are, however, not well understood. Although data suggest that a significant proportion of plasma GH is bound to specific GHBPs, the regulation of plasma GHBP levels as well as their role in modulating the GH–IGF-I system in fish is virtually unknown. Two in vivo studies were conducted on rainbow trout. In experiment I, fish were fasted for 4 weeks and then refed and sampled over 72 h. In experiment II, two lines of fish with different muscle adiposity were sampled after 1, 2, and 4 weeks of fasting. In both studies, plasma GH, IGF-I, and GHBP levels were assessed as well as the hepatic gene expression of the growth hormone receptor 2a (ghr2a) isoform. While most rainbow trout acquired GH resistance within 4 weeks of fasting, fish selected for high muscle adiposity did not. This suggests that GH resistance does not set in while fat reserves as still available for energy metabolism, and that GH resistance is permissive for protein catabolism. Plasma GHBP levels varied between 5 and 25 ng ml−1, with large fluctuations during both long-term (4 weeks) fasting and short-term (72 h) refeeding, indicating differentiated responses depending on prior energy status of the fish. The two opposing functions of GHBPs of prolonging the biological half-life of GH while decreasing GH availability to target tissues makes the data interpretation difficult, but nutritional regulatory mechanisms are suggested. The lack of correlation between hepatic ghr2a expression and plasma GHBP levels indicate that ghr2a assessment cannot be used as a proxy measure for GHBP levels, even if circulating GHBPs are derived from the GH receptor molecule.
B K-Edge XANES of Superstructural Units in Borate Glasses

The potential of x‐ray absorption near‐edge structure (XANES) spectroscopy for studying medium range order in borate glasses is assessed by theoretical modelling of the spectra. B K edge XANES is calculated in case that B atoms are located in isolated BO3 and BO4 units and in case that B atom are located in superstructural units of 9–15 atoms. It is found that boroxol ring and diborate and ditriborate superstructural units give rise to spectra which differ from spectra obtained by a mere superposition of spectra of isolated BO3 and BO4 units. On the other hand, spectra of pentaborate and triborate units do not differ significantly from spectra of isolated BO3 and BO4.
Testable design of sequential circuits with improved fault efficiency

A new synthesis and design-for-testability (DFT) technique is proposed for improving fault efficiency in non-scan synchronous sequential circuits. Certain simple constraints are imposed on state encoding prior to synthesis, and then a DFT technique is employed that guarantees absence of all sequentially undetectable faults, such as invalid, equivalent and isomorph. If the netlist is available instead of state description, only the DFT technique is applied, by skipping the synthesis part. The proposed design guarantees significantly lower test generation time, higher fault coverage, and almost complete fault efficiency, when sequential test generation tools are used. Experiments on MCNC and ISCAS 89 benchmark circuits show encouraging results. Hardware overhead of the proposed method compares favorably with that of full-scan.
Zygomatic implants placement in conjunction with maxillary sinus augmentation without bone grafting: Prosthetic and surgical consideration in immediate loading with the BARI technique

Aim Zygomatic implants are mainly indicated for the rehabilitation of extremely atrophic maxilla when bone augmentation should be avoided. One disadvantage of zygomatic implants, which typically pass through the sinus, is initial or late bone resorption around the implant neck, which can result in oro-antral communications followed by possible sinusitis. To decrease the risk of sinus infection, a modified technique was developed to preserve the integrity of the sinus membrane and to regenerate bone around zygomatic implants through an extended sinus augmentation approach without bone grafting. Case report This case report describes the treatment of a 53-year-old female patient who was completely edentulous in the upper and lower jaws and was wearing a complete removable denture. The patient’s chief complaint was related to the removable prostheses and she asked for a fixed rehabilitation. The patient was treated with zygomatic implants in the upper atrophic maxilla and with 4 intra-foraminal implantw in the mandible with the immediate loading procedure according to the BARI Technique. Conclusion This approach permitted to deliver two fixed, screw-retained, implant-supported fixed prostheses to the patient.
Innovation Capacity of Russia and the Baltics: a Comparative Approach

This article considers the possibility of Russian integration into a common research, technological, and innovative space of the Baltic region. The author presents the results of a comparative analysis of innovative development in Russia and the Baltic Sea countries based on the calculation of an integral research and technological potential index for the Russian Federation, the Northwestern Federal District of Russia, Sweden, Denmark, Finland, Norway, Germany, Poland, Estonia, Lithuania, and Latvia. The paper describes the level of research and technological development of Russia in 2008—2010 in terms of human resources, R&D, material and technical components, and the transformation capacity of innovative potential. The author identifies the key issues in the field of research and innovation that inhibit the growth of research and technological potential concentration, as well as innovative development of the Russian Federation. The article considers the prospects for the development of research and technological potential in Russia through the use of instruments of international research and technological cooperation in the Baltic Sea region.
Population Ageing and Inflation with Endogenous Money Creation

This paper provides an explanation as to why population ageing is associated with deflationary processes. For this reason we create an overlapping-generations model (OLG) with money created by credits (inside money) and intergenerational trade. In other words, we combine a neoclassical OLG model with post-Keynesian monetary theory. The model links demographic factors such as fertility rates and longevity to prices. We show that lower fertility rates lead to smaller demand for credits, and lower money creation, which in turn causes a decline in prices. Changes in longevity affect prices through real savings and the capital market. Furthermore, a few links between interest rates and inflation are addressed; they arise in the general equilibrium and are not thoroughly discussed in literature. Long-run results are derived analytically; short-run dynamics are simulated numerically.
Social-aware collaborative caching for D2D content sharing

With the rapid growth of wireless content demands, Device-to-Device (D2D) content sharing technology is proposed to effectively alleviate the pressure of base stations and improve the quality of service of users. However, due to the limited storage capacity of devices, the various content demands are difficult to be satisfied. Hence, caching schemes are needed. In particular, the collaborative caching, which can increase the utilization ratio of the storage capacity, attracts much attention. Moreover, we introduce the social popularity to improve the availability of preset contents, and then, we propose the social-related download rate by combining the physical and social information. Guided by this, we model the social-aware collaborative caching problem in a D2D content sharing scenario by maximizing the sum of social-related download rate over the constraint of limited storage capacity. Due to its intractability, it is computationally reduced to the maximization of a monotone submodular function, subject to a partition matroid constraint. Subsequently, the social-aware collaborative caching algorithm based on greedy algorithm is designed to achieve a suboptimal solution within a factor 1/2 approximation guarantee and polynomial-complexity.
Genome Sequence of the Self-Flocculating Strain Saccharomyces cerevisiae SPSC01

ABSTRACT The self-flocculation of yeast cells presents advantages for continuous ethanol fermentation such as their self-immobilization within fermenters for high density to improve ethanol productivity and cost-effective biomass recovery by gravity sedimentation. We sequenced and analyzed the genome of the self-flocculating Saccharomyces cerevisiae SPSC01 for the industrial production of fuel ethanol.
Crowdbreaks: Tracking Health Trends Using Public Social Media Data and Crowdsourcing

In the past decade, tracking health trends using social media data has shown great promise, due to a powerful combination of massive adoption of social media around the world, and increasingly potent hardware and software that enables us to work with these new big data streams. At the same time, many challenging problems have been identified. First, there is often a mismatch between how rapidly online data can change, and how rapidly algorithms are updated, which means that there is limited reusability for algorithms trained on past data as their performance decreases over time. Second, much of the work is focusing on specific issues during a specific past period in time, even though public health institutions would need flexible tools to assess multiple evolving situations in real time. Third, most tools providing such capabilities are proprietary systems with little algorithmic or data transparency, and thus little buy-in from the global public health and research community. Here, we introduce Crowdbreaks, an open platform which allows tracking of health trends by making use of continuous crowdsourced labeling of public social media content. The system is built in a way which automatizes the typical workflow from data collection, filtering, labeling and training of machine learning classifiers and therefore can greatly accelerate the research process in the public health domain. This work describes the technical aspects of the platform, thereby covering the functionalities at its current state and exploring its future use cases and extensions.
Ecological niche modelling as a technique for assessing threats and setting conservation priorities for Asian slow lorises (Primates: Nycticebus)

Aim Data on geographical ranges are essential when defining the conservation status of a species, and in evaluating levels of human disturbance. Where locality data are deficient, presence‐only ecological niche modelling (ENM) can provide insights into a species’ potential distribution, and can aid in conservation planning. Presence‐only ENM is especially important for rare, cryptic and nocturnal species, where absence is difficult to define. Here we applied ENM to carry out an anthropogenic risk assessment and set conservation priorities for three threatened species of Asian slow loris (Primates: Nycticebus).
From analysis to modeling of engagement as sequences of multimodal behaviors

In this paper, we present an approach to endow an Embodied Conversational Agent with engagement capabilities. We relied on a corpus of expert-novice interactions. Two types of manual annotation were conducted: non-verbal signals such as gestures, head movements and smiles; engagement level of both expert and novice during the interaction. Then, we used a temporal sequence mining algorithm to extract non-verbal sequences eliciting variation of engagement perception. Our aim is to apply these ﬁndings in human-agent interaction to analyze user’s engagement level and to control agent’s behavior. The novelty of this study is to consider explicitly engagement as sequence of multimodal behaviors.