Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality of reporting of randomized clinical trials in implant dentistry. A systematic review on critical aspects in design, outcome assessment and clinical relevance.

BACKGROUND The aim of this systematic review (SR) was to assess the quality of reporting randomized clinical trials (RCTs) in the field of implant dentistry, its evolution over time and the possible relations between quality items and reported outcomes. MATERIAL AND METHODS RCTs in implant dentistry were retrieved through electronic and hand searches. Risk of bias in individual studies was assessed focusing on study design, outcome assessment and clinical relevance. Associations between quality items and year of publication of RCTs or reporting of statistically significant outcomes were tested. RESULTS Among the 495 originally screened manuscripts published from 1989 to April 2011, 276 RCTs were assessed in this SR; 59% of them were published between 2006 and 2011. RCTs were mainly parallel (65%), with a single centre (83%) and a superiority design (88%). Trials in implant dentistry showed several methodological flaws: only 37% showed a random sequence generation at low risk of bias, 75% did not provide information on allocation concealment, only 12% performed a correct sample size calculation, the examiner was blind solely in 42% of studies where blinding was feasible. In addition, only 21% of RCTs declared operator experience and 31% reported patient-related outcomes. Many quality items improved over time. Allocation concealment at high risk of bias (p = 0.0125), no information on drop-out (p = 0.0318) and lack of CONSORT adherence (p = 0.0333) were associated with statistically significant reported outcomes. CONCLUSIONS The overall quality of reporting of RCTs in implant dentistry is poor and only partially improved in the last years. Caution is suggested when interpreting these RCTs since risk of bias was associated with higher chance of reporting of statistically significant results.
One Graph to Rule Them All - Software Measurment and Management

The software architecture is typically defined as the fundamental organization of the system embodied in its components, their relationships to one another and to the system's environment. It also encompases principles governing the system's design and evolution. In order to manage the architecture of a large software system the architect needs a holistic model that supports continuous integration and verification for all system artifacts. In earlier papers we proposed a unified graph-based approach to the problem of managing knowledge about the architecture of a software system. In this paper we demonstrate that this approach facilitates convenient and efficient project measurement. First, we show how existing software metrics can be translated into our model in a way that is independent of the programming language. Second, we introduce new metrics that cross the programming language boundaries and are easily implementable using our approach. We conclude by demonstrating how the new model can be implemented using existing tools. In particular, graph databases are a convenient implementation of an architectural repository. Graph query languages and graph algorithms are an effective way to define metrics and specialized graph views.
A cross-linguistic study of the acquisition of clitic and pronoun production

ABSTRACT This study develops a single elicitation method to test the acquisition of third-person pronominal objects in 5-year-olds for 16 languages. This methodology allows us to compare the acquisition of pronominals in languages that lack object clitics (“pronoun languages”) with languages that employ clitics in the relevant context (“clitic languages”), thus establishing a robust cross-linguistic baseline in the domain of clitic and pronoun production for 5-year-olds. High rates of pronominal production are found in our results, indicating that children have the relevant pragmatic knowledge required to select a pronominal in the discourse setting involved in the experiment as well as the relevant morphosyntactic knowledge involved in the production of pronominals. It is legitimate to conclude from our data that a child who at age 5 is not able to produce any or few pronominals is a child at risk for language impairment. In this way, pronominal production can be taken as a developmental marker, provided that one takes into account certain cross-linguistic differences discussed in the article.
A Qualitative Study on the Exploration of Temporal Changes in Flow Maps with Animation and Small‐Multiples

We present a qualitative user study analyzing findings made while exploring changes over time in spatial interactions. We analyzed findings made by the study participants with flow maps, one of the most popular representations of spatial interactions, using animation and small‐multiples as two alternative ways of representing temporal changes. Our goal was not to measure the subjects’ performance with the two views, but to find out whether there are qualitative differences between the types of findings users make with these two representations. To achieve this goal we performed a deep analysis of the collected findings, the interaction logs, and the subjective feedback from the users. We observed that with animation the subjects tended to make more findings concerning geographically local events and changes between subsequent years. With small‐multiples more findings concerning longer time periods were made. Besides, our results suggest that switching from one view to the other might lead to an increase in the numbers of findings of specific types made by the subjects which can be beneficial for certain tasks.
EEMC

Mobile Crowdsensing (MCS) requires users to be motivated to participate. However, concerns regarding energy consumption and privacy—among other things—may compromise their willingness to join such a crowd. Our preliminary observations and analysis of common MCS applications have shown that the data transfer in MCS applications may incur significant energy consumption due to the 3G connection setup. However, if data are transferred in parallel with a traditional phone call, then such transfer can be done almost “for free”: with only an insignificant additional amount of energy required to piggy-back the data—usually incoming task assignments and outgoing sensor results—on top of the call. Here, we present an Energy-Efficient Mobile Crowdsensing (EEMC) framework where task assignments and sensing results are transferred in parallel with phone calls. The main objective, and the principal contribution of this article, is an MCS task assignment scheme that guarantees that a minimum number of anonymous participants return sensor results within a specified time frame, while also minimizing the waste of energy due to redundant task assignments and considering privacy concerns of participants. Evaluations with a large-scale real-world phone call dataset show that our proposed EEMC framework outperforms the baseline approaches, and it can reduce overall energy consumption in data transfer by 54--66% when compared to the 3G-based solution.
Intersecting Families are Essentially Contained in Juntas

A family $\J$ of subsets of {1, . , n} is called a j-junta if there exists J ⊆ {1, . , n}, with |J| = j, such that the membership of a set S in $\J$ depends only on S ∩ J. In this paper we provide a simple description of intersecting families of sets. Let n and k be positive integers with k < n/2, and let $\A$ be a family of pairwise intersecting subsets of {1, . , n}, all of size k. We show that such a family is essentially contained in a j-junta $\J$, where j does not depend on n but only on the ratio k/n and on the interpretation of ‘essentially’. When k = o(n) we prove that every intersecting family of k-sets is almost contained in a dictatorship, a 1-junta (which by the Erdős–Ko–Rado theorem is a maximal intersecting family): for any such intersecting family $\A$ there exists an element i ∈ {1, . , n} such that the number of sets in $\A$ that do not contain i is of order $\C {n-2}{k-2}$ (which is approximately $\frac {k}{n-k}$ times the size of a maximal intersecting family). Our methods combine traditional combinatorics with results stemming from the theory of Boolean functions and discrete Fourier analysis.
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction

We present a novel word level vector representation based on symmetric patterns (SPs). For this aim we automatically acquire SPs (e.g., “X and Y”) from a large corpus of plain text, and generate vectors where each coordinate represents the cooccurrence in SPs of the represented word with another word of the vocabulary. Our representation has three advantages over existing alternatives: First, being based on symmetric word relationships, it is highly suitable for word similarity prediction. Particularly, on the SimLex999 word similarity dataset, our model achieves a Spearman’s score of 0.517, compared to 0.462 of the state-of-the-art word2vec model. Interestingly, our model performs exceptionally well on verbs, outperforming stateof-the-art baselines by 20.2‐41.5%. Second, pattern features can be adapted to the needs of a target NLP application. For example, we show that we can easily control whether the embeddings derived from SPs deem antonym pairs (e.g. (big,small)) as similar or dissimilar, an important distinction for tasks such as word classification and sentiment analysis. Finally, we show that a simple combination of the word similarity scores generated by our method and by word2vec results in a superior predictive power over that of each individual model, scoring as high as 0.563 in Spearman’s on SimLex999. This emphasizes the differences between the signals captured by each of the models.
High Fat Diets Sex-Specifically Affect the Renal Transcriptome and Program Obesity, Kidney Injury, and Hypertension in the Offspring

Obesity and related disorders have increased concurrently with an increased consumption of saturated fatty acids. We examined whether post-weaning high fat (HF) diet would exacerbate offspring vulnerability to maternal HF-induced programmed hypertension and kidney disease sex-specifically, with a focus on the kidney. Next, we aimed to elucidate the gene–diet interactions that contribute to maternal HF-induced renal programming using the next generation RNA sequencing (NGS) technology. Female Sprague-Dawley rats received either a normal diet (ND) or HF diet (D12331, Research Diets) for five weeks before the delivery. The offspring of both sexes were put on either the ND or HF diet from weaning to six months of age, resulting in four groups of each sex (maternal diet/post-weaning diet; n = 5–7/group): ND/ND, ND/HF, HF/ND, and HF/HF. Post-weaning HF diet increased bodyweights of both ND/HF and HF/HF animals from three to six months only in males. Post-weaning HF diet increased systolic blood pressure in male and female offspring, irrespective of whether they were exposed to maternal HF or not. Male HF/HF offspring showed greater degrees of glomerular and tubular injury compared to the ND/ND group. Our NGS data showed that maternal HF diet significantly altered renal transcriptome with female offspring being more HF-sensitive. HF diet induced hypertension and renal injury are associated with oxidative stress, activation of renin-angiotensin system, and dysregulated sodium transporters and circadian clock. Post-weaning HF diet sex-specifically exacerbates the development of obesity, kidney injury, but not hypertension programmed by maternal HF intake. Better understanding of the sex-dependent mechanisms that underlie HF-induced renal programming will help develop a novel personalized dietary intervention to prevent obesity and related disorders.
Presynaptic Depression of Glutamatergic Synaptic Transmission by D1-Like Dopamine Receptor Activation in the Avian Basal Ganglia

Vocal behavior in songbirds exemplifies a rich integration of motor, cognitive, and social functions that are shared among vertebrates. As a part of the underlying neural substrate, the song system, the anterior forebrain pathway (AFP) is required for song learning and maintenance. The AFP resembles the mammalian basal ganglia–thalamocortical loop in its macroscopic organization, neuronal intrinsic properties, and microcircuitry. Area X, the first station in the AFP, is a part of the basal ganglia essential for vocal learning. It receives glutamatergic inputs from pallial structures and sends GABAergic outputs to thalamic structures. It also receives dense dopaminergic innervation from the midbrain. The role of this innervation is essentially unknown. Here we provide evidence that dopamine (DA) can modulate the glutamatergic inputs to spiny neurons in area X. In whole-cell voltage-clamp recordings from neurons in brain slices of adult zebra finches, we found that activation of D1-like DA receptors depresses ionotropic glutamatergic synaptic current in area X spiny neurons. This effect is mediated by a presynaptic site of action, mimicked by activation of adenylyl cyclase, and blocked by protein kinase A inhibitor and an adenosine A1 receptor antagonist. These results suggest that, in addition to altering the input–output function of spiny neurons by modulating their excitability, as we have shown previously, DA can directly influence the excitatory inputs to these neurons as well. Thus, DA can exert fine control over information processing through spiny neurons in area X, the dynamics of the AFP output, and ultimately song learning and maintenance.
Working at Pleasure in Young Women's Alcohol Consumption: A Participatory Visual Ethnography

This paper reports on a participatory ethnography conducted with undergraduate students. It examined the rituals and habits through which they constructed their intoxication culture. Students used video recording devices such as smartphones to collect data about aspects of their intoxication experiences. They were then interviewed about emerging analytical themes. In this paper we focus on one aspect of intoxication culture, the place of pleasure in women's accounts. We build on previous research that showed that pleasure was present but not always dominant in women's accounts of leisure focused drinking. They experienced the predominant, neo-liberal concept of pleasure as a demand which had to be navigated alongside their own desires which could include a preference for a more situated, intimate, sociability. Pre-drinking occasions were especially significant as places where bonds could be built up and body and self prepared to enter the public night-time economy. For many, this preparation became the main, enjoyable event in contrast to sometimes fraught and demanding public drinking spaces, where women could find themselves subject to various critical judgements about their femininity. Their activities on these occasions focused on achieving a ‘good drunk’, a manageable state of group intoxication. We use these findings to comment critically on the gendering of the night-time economy, the narrow framing of ‘pleasure’ in it, and the commodification of student experience in the UK.
Triel Bonds, π-Hole-π-Electrons Interactions in Complexes of Boron and Aluminium Trihalides and Trihydrides with Acetylene and Ethylene

MP2/aug-cc-pVTZ calculations were performed on complexes of aluminium and boron trihydrides and trihalides with acetylene and ethylene. These complexes are linked through triel bonds where the triel center (B or Al) is characterized by the Lewis acid properties through its π-hole region while π-electrons of C2H2 or C2H4 molecule play the role of the Lewis base. Some of these interactions possess characteristics of covalent bonds, i.e., the Al-π-electrons links as well as the interaction in the BH3-C2H2 complex. The triel-π-electrons interactions are classified sometimes as the 3c-2e bonds. In the case of boron trihydrides, these interactions are often the preliminary stages of the hydroboration reaction. The Quantum Theory of “Atoms in Molecules” as well as the Natural Bond Orbitals approach are applied here to characterize the π-hole-π-electrons interactions.
Functional Clustering in Nested Designs

We discuss functional clustering procedures for nested designs, where multiple curves are collected for each subject in the study. We start by considering the application of standard functional clustering tools to this problem, which leads to groupings based on the average profile for each subject. After discussing some of the shortcomings of this approach, we present a mixture model based on a generalization of the nested Dirichlet process that clusters subjects based on the distribution of their curves. By using mixtures of generalized Dirichlet processes, the model induces a much more flexible prior on the partition structure than other popular model-based clustering methods, allowing for different rates of introduction of new clusters as the number of observations increases. The methods are illustrated using hormone profiles from multiple menstrual cycles collected for women in the Early Pregnancy Study.
Recombinant factor VIIa fails to correct coagulopathy induced by haemodilution with colloid.

Editor—In recent years, numerous single case reports and a few series of retrospective cohorts of patients have been published dealing with serious bleeding and massive transfusion demands in whom recombinant activated factor VII concentrate (rFVIIa) has been tried as salvage therapy. In the absence of controlled clinical studies, practice has arisen in many places where rFVIIa has been adopted as part of the haemostasis armamentarium for treatment of uncontrollable bleeding after trauma and surgery. We presented data recently in the British Journal of Anaesthesia that illustrate a hypocoagulable state of blood after exposure to haemodilution with various colloid plasma expanders, and our experiments point to a relatively beneficial change in the dynamic whole blood clotting profile if such blood is substituted with fibrinogen concentrate. More recently, Brummel-Ziedins and colleagues have supplemented our findings by demonstrating that haemodilution with colloids causes diminished platelet
Detection and quantitation of HCV RNA using real‐time PCR after automated sample processing

There is considerable evidence that the loss of hepatitis C virus (HCV) RNA during the first 3 months of treatment with pegylated interferon plus ribavirin is a prognostic marker of response to therapy. Real‐time polymerase chain reaction (PCR) assays for quantifying HCV RNA in plasma or serum are now commercially available. The extraction of HCV RNA can also be automated. This report analyses the performance of the COBAS Ampliprep‐COBAS Taqman 48 (CAP/CTM) real‐time PCR assay and compares this new test with the COBAS Amplicor HCV Monitor v 2.0 assay (CAM). CAP/CTM was 100% specific. The assay was linear across a wide range of HCV RNA concentrations without sample dilution. The intra‐assay variation was 0.3–3.3% and the interassay variation was 1.5–6.7%. A total of 118 clinical samples with different HCV genotypes were assayed using both methods. The results obtained using the two methods were well correlated (r = 0.89, P < 0.001). The mean difference [CAP/CTM‐CAM] was 0.17 log IU/ml and it was not influenced by the HCV genotype or by the subtype. It is concluded that the new CAP/CTM system is adequate for quantifying HCV RNA in clinical practice. J. Med. Virol. 79:1821–1826, 2007. © Wiley‐Liss, Inc.
Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters

In this paper, we consider a probabilistic model for real-time task systems with probabilistic worst-case execution times, probabilistic minimum inter-arrival times and probabilistic deadlines. We propose an analysis computing response time distributions of the tasks scheduled on one processor under a task-level fixed-priority preemptive scheduling policy. The complexity of our method is analyzed and it is improved by re-sampling techniques on worst-case execution time distributions and/or minimal inter-arrival time distributions. The improvements are shown through experimental results. Also, experiments are conducted in order to investigate the improvement obtained by using a probabilistic model in terms of precision and schedulability gained as opposed to a deterministic worst-case reasoning.
Cooperative and Competitive Orientation among Chinese People: Scale Development and Validation

Chinese people are known to be strong in dialectical thinking – a cognitive tendency toward the acceptance of contradiction. Based on this finding, we conceptualized cooperative and competitive orientation as two distinct constructs that represent individual beliefs about and attitudes toward the nature of their relationship with others. We hypothesized that as stable individual differences, cooperative and competitive orientation would have differential effects on people's cognition and behaviour. Adopting a contextualization approach to Chinese management research, we developed a seven-item cooperative orientation scale and a six-item competitive orientation scale that demonstrated high reliabilities and validities. A laboratory experiment using the response latency method showed that people scoring higher on cooperative orientation responded significantly faster toward words of a cooperative nature, whereas people scoring higher on competitive orientation responded significantly faster toward words of a competitive nature. A field survey in multiple Chinese organizations further showed that cooperative and competitive orientation had differential effects on employee task performance and organizational citizenship behaviour beyond the effects of the personality differences. The theoretical and practical implications of this study are discussed in the context of work groups in Chinese organizations and beyond.
Microbe‐inducible trafficking pathways that control Toll‐like receptor signaling

The receptors of the mammalian innate immune system are designed for rapid microbial detection, and are located in organelles that are conducive to serve these needs. However, emerging evidence indicates that the sites of microbial detection are not the sites of innate immune signal transduction. Rather, microbial detection triggers the movement of receptors to regions of the cell where factors called sorting adaptors detect active receptors and promote downstream inflammatory responses. These findings highlight the critical role that membrane trafficking pathways play in the initiation of innate immunity to infection. In this review, we describe pathways that promote the microbe‐inducible endocytosis of Toll‐like receptors (TLRs), and the microbe‐inducible movement of TLRs between intracellular compartments. We highlight a new class of proteins called Transporters Associated with the eXecution of Inflammation (TAXI), which have the unique ability to transport TLRs and their microbial ligands to signaling‐competent regions of the cell, and we discuss the means by which the subcellular sites of signal transduction are defined.