Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of oral health related to body mass index.

OBJECTIVE Poor oral health has previously been related to high body mass index (BMI). We aimed at exploring the link between BMI and several oral health markers, after adjustment for dietary patterns and plasma insulin, both of which could act as mediators. SUBJECTS AND METHODS Dental examination was performed in a sample of 186 French subjects aged 35-64 years and selected from the general population to assess number of missing teeth, periodontitis, clinical attachment loss (CAL), probing pocket depth (PD), gingival index (GI) and plaque index (PI). Data collection also included a food-frequency questionnaire. BMI (considered as outcome variable) was categorized into quartiles, and as BMI<25; 25 ≤BMI<30; and BMI ≥ 30 kg m(-2) . RESULTS After adjustment for age, gender, education level, smoking, physical activity, energy intake and C-reactive protein, BMI was statistically associated with missing teeth, PD and PI, but not with CAL, GI or periodontitis. After additional adjustment for 'high-carbohydrate' diet and plasma insulin or HOMA (homeostasis model assessment) index for insulin resistance, the statistical relationship between BMI and oral variables remained significant only for PD and PI. CONCLUSIONS Plaque index, reflecting dental plaque, and PD, closely linked with periodontal inflammation and infection, are statistically associated with high BMI and obesity, independently of dietary patterns and insulin resistance.
Augmentation of SPICE for simulation of circuits containingresonant tunneling diodes

This paper describes the incorporation of an accurate physics-based model of the resonant tunneling diode (RTD) into Berkeley SPICE version 3F5 and addresses the related direct current (dc) and transient convergence problems caused by the negative differential resistance (NDR) and the exponential nature of the device characteristics. To circumvent the de convergence problems, a new continuation technique using artificial parameter embedding and a current limiting algorithm are proposed. The studies made in this paper have shown that these techniques are superior to the in-built continuation methods of SPICE, such as Gmin-stepping and Source-stepping, for a large number of circuits of varying sizes. To improve transient convergence performance, the following three algorithms are added to SPICE: a modified forced-convergence algorithm, a new time-step adjustment algorithm, and a modified device voltage prediction algorithm.
HST STIS observations of four QSO pairs

We present HST STIS observations of four quasar pairs with redshifts 0:84 200 km s 1 . This probably reflects the fact that the scale probed by our observations is not related to the real size of individual absorbers but rather to large scale correlation. Statistics are too small to conclude about any dierence between pairs separated by either 2 or 3 arcmin. A damped Lyman- system is detected at zabs= 1:2412 toward LBQS 0019 0145A with log N(Hi) 20:5. From the absence of Znii absorption, we derive a metallicity relative to solar (Zn=H)< 1:75.
Journal of Economic Behavior & Organization Indecisiveness in Behavioral Welfare Economics

JEL classification: D11 D60 C60 Keywords: Behavioral welfare economics Incomplete preferences Pareto optimality a b s t r a c t When an individual's preferences depend on the time or 'frame' at which decisions are made, the preferences that appear at different frames must be aggregated in order to make social decisions. Suppose we aggregate each individual i's frame-based preferences with a 'behavioral welfare relation' that ranks x above y if, when both x and y are available, i sometimes choose x and not y and never chooses y and not x. The set of Pareto optima can then be large. In fact a small amount of preference diversity across frames can cause every allocation to be Pareto optimal. More generally, the set of Pareto optima will have the same dimension as the set of allocations. The Pareto criterion then will not be able to discriminate locally among policy options. A small distortion, for example, will call for no policy response.
Interaction between Wall Shear Stress and Circumferential Strain Affects Endothelial Cell Biochemical Production

The wall shear stress (WSS) of flowing blood and the circumferential strain (CS) driven by the pressure pulse interact to impose a dynamic force pattern on endothelial cells (ECs) which can be characterized by the temporal phase angle between WSS and CS, a quantity which varies significantly throughout the circulation. To study the interaction of WSS and CS on endothelial production of vasodilators (prostacyclin and nitric oxide) and a vasoconstrictor (endothelin-1), bovine aortic ECs were cultured on the inner surface of compliant tubes and subjected to various flow conditions: steady shear (10 dyn/cm2), oscillatory shear (10 ± 10 dyn/cm2, rigid tube), and oscillatory shear (10 ± 10 dyn/cm2) with CS (8%) either in or out of phase with shear. The 4-hour production rates of vasoactive agents show that steady shear stimulates the highest production of vasodilators whereas oscillatory shear stimulates the highest vasoconstrictor production. The addition of CS in concert with oscillatory shear enhances the production of vasodilators and inhibits the production of vasoconstrictors, and this effect is modulated by the phase angle between WSS and CS. These data suggest that the interactions of WSS and CS are important in vascular regulation and remodeling.
Under consideration for publication in Theory and Practice of Logic Programming 1 Transition Systems for Model Generators — A Unifying Approach

A fundamental task for propositional logic is to compute models of propositional formulas. Programs developed for this task are called satisfiability solvers. We show that transition systems introduced by Nieuwenhuis, Oliveras, and Tinelli to model and analyze satisfiability solvers can be adapted for solvers developed for two other propositional formalisms: logic programming under the answerset semantics, and the logic PC(ID). We show that in each case the task of computing models can be seen as “satisfiability modulo answer-set programming,” where the goal is to find a model of a theory that also is an answer set of a certain program. The unifying perspective we develop shows, in particular, that solvers CLASP and MINISAT(ID) are closely related despite being developed for different formalisms, one for answer-set programming and the latter for the logic PC(ID).
Selective Estrogen Receptor Modulation by Larrea nitida on MCF-7 Cell Proliferation and Immature Rat Uterus

Larrea nitida is a plant that belongs to the Zygophyllaceae family and is widely used in South America to treat inflammatory diseases, tumors and menstrual pain. However, its pharmacological activity remains unclear. In this study we evaluated the property of selective estrogen receptor modulator (SERM) of Larrea nitida extracts (LNE) as a phytoestrogen that can mimic, modulate or disrupt the actions of endogenous estrogens, depending on the tissue and relative amount of other SERMs. To investigate the property of SERM of LNE, we performed MCF-7 cell proliferation assays, estrogen response element (ERE)-luciferase reporter gene assay, human estrogen receptor (hER) binding assays and in vivo uterotrophic assay. To gain insight into the active principles, we performed a bioassay-guided analysis of LNE employing solvents of various polarities and using classical column chromatography, which yielded 16 fractions (LNs). LNE showed high binding affinities for hERα and hERβ with IC50 values of 1.20 ×10−7 g/ml and 1.00×10−7 g/ml, respectively. LNE induced 17β-estradiol (E2)-induced MCF-7 cell proliferation, however, it reduced the proliferation in the presence of E2. Furthermore, LNE had an atrophic effect in the uterus of immature rats through reducing the expression level of progesterone receptor (PR) proteins. LN08 and LN10 had more potent affinities for binding on hER α and β than other fractions. Our results indicate that LNE had higher binding affinities for hERβ than hERα, and showed SERM properties in MCF-7 breast cancer cells and the rat uterus. LNE may be useful for the treatment of estrogen-related conditions, such as female cancers and menopause.
Miniature RF MEMS switch matrices

A novel miniature-size switching unit is reported for application as the building block of multiport switch matrices. The cell consists of 3 cantilever-beam contact type MEMS devices coupled to CPW transmission lines. A major feature of the proposed switch cell is that in each of the operating states there is only one MEMS switch located in the path of signal inducing a similar loss for all switching states. The construction of the entire system is carried out by a six-mask fabrication process. To minimize the unwanted coupling of the RF signal through the bias lines of MEMS devices, high-resistive phosphorous-doped hydrogenated amorphous silicon (n+ a-Si:H) is selected as a material of choice for the dc bias lines. The switching unit has been employed to build a 4×4 switch matrix measuring 1.45 × 1.45 mm2 in dimensions. The system presents an excellent RF performance with the worst-case insertion loss, return loss, and isolation of −1.8dB, −17dB and 26dB up to 40GHz, respectively.
Reasonable People did Disagree: Optimism and Pessimism About the U.S. Housing Market Before the Crash

Understanding the evolution of real-time beliefs about house price appreciation is central to understanding the U.S. housing crisis. At the peak of the recent housing cycle, both borrowers and lenders appealed to optimistic house price forecasts to justify undertaking increasingly risky loans. Many observers have argued that these rosy forecasts ignored basic theoretical and empirical evidence that pointed to a massive overvaluation of housing and thus to an inevitable and severe price decline. We revisit the boom years and show that the economics profession provided little such countervailing evidence at the time. Many economists, skeptical that a bubble existed, attempted to justify the historic run-up in housing prices based on housing fundamentals. Other economists were more uncertain, pointing to some evidence of bubble-like behavior in certain regional housing markets. Even these more skeptical economists, however, refused to take a conclusive position on whether a bubble existed. The small number of economists who argued forcefully for a bubble often did so years before the housing market peak, and thus lost a fair amount of credibility, or they make arguments fundamentally at odds with the data even ex post. For example, some economists suggested that cities where new construction was limited by zoning regulations or geography were particularly "bubble-prone," yet the data shows that the cities with the biggest gyrations in house prices were often those at the epicenter of the new construction boom. We conclude by arguing that economic theory provides little guidance as to what should be the "correct" level of asset prices -- including housing prices. Thus, while optimistic forecasts held by many market participants in 2005 turned out to be inaccurate, they were not ex ante unreasonable.
A Conserved KIN17 Curved DNA-Binding Domain Protein Assembles with SQUAMOSA PROMOTER-BINDING PROTEIN-LIKE7 to Adapt Arabidopsis Growth and Development to Limiting Copper Availability[W][OPEN]

An Arabidopsis homolog of KIN17 physically interacts with the transcription factor SPL7 to prevent impaired plant growth during periods of limited copper availability. Proper copper (Cu) homeostasis is required by living organisms to maintain essential cellular functions. In the model plant Arabidopsis (Arabidopsis thaliana), the SQUAMOSA PROMOTER-BINDING PROTEIN-LIKE7 (SPL7) transcription factor participates in reprogramming global gene expression during Cu insufficiency in order to improve the metal uptake and prioritize its distribution to Cu proteins of major importance. As a consequence, spl7 null mutants show morphological and physiological disorders during Cu-limited growth, resulting in lower fresh weight, reduced root elongation, and chlorosis. On the other hand, the Arabidopsis KIN17 homolog belongs to a well-conserved family of essential eukaryotic nuclear proteins known to be stress activated and involved in DNA and possibly RNA metabolism in mammals. In the study presented here, we uncovered that Arabidopsis KIN17 participates in promoting the Cu deficiency response by means of a direct interaction with SPL7. Moreover, the double mutant kin17-1 spl7-2 displays an enhanced Cu-dependent phenotype involving growth arrest, oxidative stress, floral bud abortion, and pollen inviability. Taken together, the data presented here provide evidence for SPL7 and KIN17 protein interaction as a point of convergence in response to both Cu deficiency and oxidative stress.
Effect Of Hypo−and Euthyroid Status On Serum Cystatin C Levels

Objective: The aim of this study was to investigate the effect of hypo− and euthyroid status on serum cystatin C (CysC) levels in children and to explore whether CysC can be used as a marker of the thyroid status. Methods: Twenty five patients with hypothyroidism (10M, 15F; mean age:8.7±4.9 years) and 21 healhty age−matched controls (9M, 12F; mean age: 9.7±5.0 years) were included in this study. Serum thyrotropin (TSH), free thyroxine (fT4), serum CysC and creatinine levels were studied in patients with hypothyroidism twice, i.e. in the euthyroid (on L−T4) and hypothyroid state, and in controls. Results: No significant differences in creatinine, glomerular filtration rate (GFR) and CysC levels were observed between the study group in the euthyroid status and the control group. CysC (mg/dL) level was found to be lower in the hypothyroid status(0.6±0.1) than in the euthyroid status (0.66±0.1) (p=0.01). In hypothyroid status, CysC levels showed a positive correlation with GFR (r=0.463, p=0.02) and GFR had positive correlation with fT4 (r=0.563, p=0.012). Conclusions: We demonstrated a significant effect of thyroid dysfunction on CysC levels, but the changes in serum CysC levels in hypo− and euthyroid status did not exceed the reference interval. It may be concluded that serum CysC levels have limited use in evaluating the peripheral effects of thyroid hormones. Conflict of interest:None declared.
IL28B Polymorphisms and Clinical Implications for Hepatitis C Virus Infection in Uzbekistan

Aims Genome-wide association studies highlighted single nucleotide polymorphisms (SNPs) within the IFNL3/IL28B locus predict the treatment outcome for patients with HCV. Furthermore, SNPs in newly discovered IFNL4 are shown to have population-specific correlation with spontaneous clearance of HCV. The aim of this study was to examine the prevalence and clinical significance of the outlined SNPs in a population from Central Asia, a multi-ethnic region with a developing economy and a high prevalence of HCV infection. Methods One hundred and thirty-five chronic HCV patients from Uzbekistan were enrolled. DNA specimens were extracted from peripheral blood mononuclear cells and the IFNL3 SNPs (rs8099917, rs12979860) were genotyped by the Invader Plus assay, the TaqMan assay, and by direct sequence analysis. The IFL4 region (ss469415590) was sequenced. Results Of the 135 patients that completed 24 or 48 weeks of treatment with Peg-IFN-α plus RBV, 87.4% were of Central Asian (CA) ancestry and 12.6% were of Eastern European (EE) ancestry. A non-virological response was observed in 21.2% of CA and in 35.3% of EE, respectively (p<0.32). The rs12979860 was strongly associated with treatment response (OR, 5.2; 95% CI, 1.9–14.6; p<0.004) in the overall sample; however, SNP rs8099917 was the most predictive of outcome for CA group (OR, 6.9; 95% CI, 2.6–18.0; p<0.002). The allele frequency of IFNL4 SNP, ss469415590, was identical with that of rs12979860 in all samples. Conclusions SNPs in IFNL3 and IFNL4 can be used to predict HCV treatment outcome in a population of Central Asian ancestry.
Automatic Population of Structured Knowledge Bases via Natural Language Processing

The Web has evolved into a huge mine of knowledge carved in different forms, the predominant one still being the free-text document. This motivates the need for Intelligent Web-reading Agents: hypothetically, they would skim through disparate Web sources corpora and generate meaningful structured assertions to fuel Knowledge Bases (KBs). Ultimately, comprehensive KBs, like Wikidata and DBpedia, play a fundamental role to cope with the issue of information overload. On account of such vision, this thesis depicts a set of systems based on Natural Language Processing (NLP), which take as input unstructured or semi-structured information sources and produce machine-readable statements for a target KB. We implement four main research contributions: (1) a one-step methodology for crowdsourcing the Frame Semantics annotation; (2) a NLP technique implementing the above contribution to perform N-ary Relation Extraction from Wikipedia, thus enriching the target KB with properties; (3) a taxonomy learning strategy to produce an intuitive and exhaustive class hierarchy from the Wikipedia category graph, thus augmenting the target KB with classes; (4) a recommender system that leverages a KB network to yield atypical suggestions with detailed explanations, serving as a proof of work for real-world end users. The outcomes are incorporated into the Italian DBpedia chapter, can be queried through its public endpoint, and/or downloaded as standalone data dumps.
Spatial-Temporal Distribution of Hantavirus Rodent-Borne Infection by Oligoryzomys fulvescens in the Agua Buena Region - Panama

Background Hotspot detection and characterization has played an increasing role in understanding the maintenance and transmission of zoonotic pathogens. Identifying the specific environmental factors (or their correlates) that influence reservoir host abundance help increase understanding of how pathogens are maintained in natural systems and are crucial to identifying disease risk. However, most recent studies are performed at macro-scale and describe broad temporal patterns of population abundances. Few have been conducted at a microscale over short time periods that better capture the dynamical patterns of key populations. These finer resolution studies may better define the likelihood of local pathogen persistence. This study characterizes the landscape distribution and spatio-temporal dynamics of Oligoryzomys fulvescens (O. fulvescens), an important mammalian reservoir in Central America. Methods Information collected in a longitudinal study of rodent populations in the community of Agua Buena in Tonosí, Panama, between April 2006 and December 2009 was analyzed using non-spatial analyses (box plots) and explicit spatial statistical tests (correlograms, SADIE and LISA). A 90 node grid was built (raster format) to design a base map. The area between the nodes was 0.09 km2 and the total study area was 6.43 km2 (2.39 x 2.69 km). The temporal assessment dataset was divided into four periods for each year studied: the dry season, rainy season, and two months-long transitions between seasons (the months of April and December). Results There were heterogeneous patterns in the population densities and degrees of dispersion of O. fulvescens that varied across seasons and among years. The species typically was locally absent during the late transitional months of the season, and re-established locally in subsequent years. These populations re-occurred in the same area during the first three years but subsequently re-established further south in the final year of the study. Spatial autocorrelation analyses indicated local populations encompassed approximately 300–600 m. The borders between suitable and unsuitable habitats were sharply demarcated over short distances. Conclusion Oligoryzomys fulvescens showed a well-defined spatial pattern that evolved over time, and led to a pattern of changing aggregation. Thus, hot spots of abundance showed a general shifting pattern that helps explain the intermittent risk from pathogens transmitted by this species. This variation was associated with seasonality, as well as anthropogenic pressures that occurred with agricultural activities. These factors help define the characteristics of the occurrence, timing, intensity and duration of synanthropic populations affected by human populations and, consequently, possible exposure that local human populations experience.
Better Knowledge with Social Media? Exploring the Roles of Social Capital and Organizational Knowledge Management

Purpose – The purpose of this paper is to explore social media’s impact on organizational knowledge quality through the theoretical lens of social capital and resource exchange.Design/methodology/approach – Theory-confirming, quantitative study using panel data collected through web-based survey.Findings – The results show that while social media affect structural capital and cognitive capital directly, it only affects relational capital indirectly through structural and cognitive capital. Moreover, overall social media and the enhanced social capital do help promote organizational efforts in knowledge management, which subsequently leads to higher level of organizational knowledge quality.Research limitations/implications – All survey respondents were from the U.S., which may limit the generalizability of the findings. The authors also call for more research in establishing the time sequence in the proposed causal relations and in the individual level mechanism through which social media promotes organizational knowledge quality.Practical implications – This study highlights both the potential and limitations of social media in promoting organizational knowledge management. Businesses must consciously manage the assimilation and use of social media to benefit from them.Originality/value – The authors position the study at the intersection of social media, social capital, and knowledge management and explicate how social media work through social capital and organizational knowledge management efforts to affect knowledge quality.
Distributed beamforming design for SINR balancing approach in cooperative two-way networks based on second-order statistics

We consider a two-way cooperative network consists of two transceivers and a set of relays. Assuming poor direct link between the two transceivers, they can exchange their data only with help of a set of distributed relays. This paper assumes that second-order statistics (SOS) of channel state information (CSI) is available. In this paper we obtain the complex beamforming weights to achieving signal-to-interference-plus-noise ratio (SINR) balancing in transceivers with total transmit power constraint at the relays. For solving the optimization problem, the complex beamforming weights are optimized with using a bisection search method. Simulation results show that increase in certainty about the channel coefficients helps in achieving a better performance in the two-way cooperative network.