Miracle-dz/UniFAR-FTUs huggingface dataset:
The Journal of Rheumatology Spondyloarthritis on Peripartum Outcomes A Population Level Analysis of the Differing Impacts of Rheumatoid Arthritis and

The impact of rheumatoid arthritis (RA) and (SpA) on and neonatal a population Methods: A contemporary pregnancy cohort of 312,081 women and corresponding birth events was assembled for the province of Alberta from the random selection of one live birth event per woman. We identified three groups: (1) no inflammatory arthritis (no IA, N=308,989), (2) RA (N=631), and (3) SpA (N=2,461). We compared maternal and neonatal outcomes, co-morbid conditions and medication use between the three groups. Multivariable logistic regression models evaluated the independent association between RA and SpA, relative to no IA, and the outcomes of small for gestation age (SGA) and hypertensive disorders during pregnancy. Results: Pregnant women with RA were significantly more likely to have pre-term deliveries (13.5%), caesarean sections (33.9%), hypertensive disorders in pregnancy (10.5%) and SGA babies (15.6%), compared to pregnant women with either SpA or no IA. Non-steroidal anti-inflammatories (NSAIDs) and corticosteroid use was significantly higher in pregnant RA women compared to the other groups. RA women were significantly more likely to have an SGA baby (OR 1.51; 95% CI 1.21-1.88, p <0.01), and hypertensive disorder in pregnancy (OR 1.51; 95% CI 1.16-1.97, p<0.01), compared to no IA women while no difference was found between women with SpA and those with no IA. Conclusions: Women with RA have a higher risk of worse maternal and neonatal outcomes whereas the risk of these events is similar between women with and without SpA.
PROFILE-KERNEL LIKELIHOOD INFERENCE WITH DIVERGING NUMBER OF PARAMETERS 1

The generalized varying coefﬁcient partially linear model with a growing number of predictors arises in many contemporary scientiﬁc endeavor. In this paper we set foot on both theoretical and practical sides of proﬁle likelihood estimation and inference. When the number of parameters grows with sample size, the existence and asymptotic normality of the proﬁle likelihood estimator are established under some regularity conditions. Proﬁle likelihood ratio inference for the growing number of parameters is proposed and Wilk’s phenomenon is demonstrated. A new algorithm, called the accelerated proﬁle-kernel algorithm, for computing proﬁle-kernel estimator is proposed and investigated. Simulation studies show that the resulting estimates are as efﬁcient as the fully iterative proﬁle-kernel estimates. For moderate sample sizes, our proposed procedure saves much computational time over the fully iterative proﬁle-kernel one and gives stabler estimates. A set of real data is analyzed using our proposed algorithm.
The artificial patents in the PATSTAT database

: This paper proposes to broaden by more than 10% - compared with the current practice - the set of applications for priority patents, which is used to compute worldwide patent indicators. This extension is made possible thanks to the inclusion in the corpus of documents used for the calculation of indicators of the first filing patent applications that are designated as “artificial priority patents” in the PATSTAT database and currently discarded for the production of indicators. This research aims to show how adding these “artificial” patent applications can modify the value of the worldwide patent indicators. Artificial patent applications have never been used before because they contain very scarce information in their original state. We present a methodology we have developed to, first, replenish the artificial patents with information retrieved from close patents belonging to the same INPADOC family. Then, we study in details a range of indicators characterising the trends in the internationalisation of corporate R&D inventive activities. We provide evidence that the internationalisation pattern can be modified when including replenished artificial corporate patents in the indicator calculation. At the world level, incorporating artificial priority patents does not affect the trends over time, nor introduce any significant changes in the values of the indicators. However, analyses performed at a smaller scale, such as the firms’ continent level or the firms’ sector, show significant changes of the level of the intercontinental internationalisation in particular for the US firms. Acknowledgements: This work was supported by RISIS, a project of the Infrastructure EU FP7 programme. The authors would like to thank Jos Winnink from CWTS (Leiden university) for his careful reading and valuable comments.
Direct Interaction between Protein Kinase C (cid:117) (PKC (cid:117) ) and 14-3-3 (cid:116) in T Cells: 14-3-3 Overexpression Results in Inhibition of PKC (cid:117) Translocation and Function†

Recent studies have documented direct interactions between 14-3-3 proteins and several oncogene and proto-oncogene products involved in signal transduction pathways. Studies on the effects of 14-3-3 proteins on protein kinase C (PKC) activity in vitro have reported conﬂicting results, and previous attempts to demon- strate a direct association between PKC and 14-3-3 were unsuccessful. Here, we examined potential physical and functional interactions between PKC (cid:117) , a Ca 2 (cid:49) -independent PKC enzyme which is expressed selectively in T lymphocytes, and the 14-3-3 (cid:116) isoform in vitro and in intact T cells. PKC (cid:117) and 14-3-3 (cid:116) coimmunoprecipitated from Jurkat T cells, and recombinant 14-3-3 (cid:116) interacted directly with puriﬁed PKC (cid:117) in vitro. Transient overexpression of 14-3-3 (cid:116) suppressed stimulation of the interleukin 2 (IL-2) promoter mediated by cotransfected wild-type or constitutively active PKC (cid:117) , as well as by endogenous PKC in ionomycin- and/or phorbol ester-stimulated cells. This did not represent a general inhibition of activation events, since PKC-independent (but Ca 2 (cid:49) -dependent) activation of an IL-4 promoter element was not inhibited by 14-3-3 (cid:116) under similar conditions. Overexpression of wild-type 14-3-3 (cid:116) also inhibited phorbol ester-induced PKC (cid:117) translocation from the cytosol to the membrane in Jurkat cells, while a membrane-targeted form of 14-3-3 (cid:116) caused increased localization of PKC (cid:117) in the particulate fraction in unstimulated cells. Membrane-targeted 14-3-3 (cid:116) was more effective than wild-type 14-3-3 (cid:116) in suppressing PKC (cid:117) -dependent IL-2 promoter activity, suggesting that 14-3-3 (cid:116) inhibits the function of PKC (cid:117) not only by preventing its translocation to the membrane but also by associating with it. The interaction between 14-3-3 and PKC (cid:117) may represent an important general mechanism for regulating PKC-dependent signals and, more speciﬁcally, PKC (cid:117) -mediated functions during T-cell activation.
The Effectiveness of Clinical Model of Therapeutic Creativity on Cognitive Flexibility in Children with Autism

Background and Objectives: Children with autism have many problems, and then it is necessary to identify and strengthen those factors that reduce the vulnerability of autistic children against problems. Therefore this study was conducted aimed to investigating the effectiveness of clinical model of therapeutic creativity on cognitive flexibility in children with autism. Methods: The research design of this study was semi-experimental type as pretest-posttest with control group. The studied sample was including 16 children with autism who were selected through convenience sampling method and were categorized randomly into two groups of experiment and control. Cognitive Flexibility Inventory (CFI) was used for data collection and data analyzing was conducted with univariate analysis of covariance and using SPSS-21 software. Results: The results showed that clinical model of therapeutic creativity have significant effect on improving cognitive flexibility (F= 5.11, p< 0.05) in children with autism. Conclusion: According to the results of this study, clinical model of therapeutic creativity can be suggested as an effective method in improving cognitive flexibility of autistic children.
MULTIMODAL LEARNING INTERFACES

While significant advances have been made in recent years to continuously expand and improve speech recognition performance, speech recognition systems have still not found broad acceptance in everyday life. In searching to eliminate their shortcomings, we have begun to focus our efforts on producing a sensible and useful user interface, rather than a better recognizer alone. Such useful speech interfaces should not only recognize speech but also
Traffic Flow Modeling and Simulation using Micro Intelligent Vehicles

Traffic flow experiments using Micro Intelligent Vehicle (MicroIV) are more efficient and easier to achieve than experiments in actual traffic environment. In this paper, a MicroIV based traffic flow modeling and simulation method is proposed. Firstly, the framework of MicroIV is presented aiming at satisfying the requirements of multi-task and potential extended functions in traffic flow simulation. Secondly, a global path planning approach using time division based hierarchical topology maps, which takes specific traffic rules into consideration, is developed to overcome the difficulties of navigation in micro scale and using hierarchical topology maps for global path planning. Thirdly, in the part of environmental perception, an active vision approach based on improved visual selection attention is proposed to realize more efficient and robust detection of traffic light, and an improved spatial-bag-of-features method is used to make traffic sign recognition more adaptable. Experimental results show that the MicroIV is proved to be suitable for traffic flow simulation.
A COMPARATIVE SIMULATION STUDY

The field of data science often faces the problem of missing data, especially for large-scale data. If missing data is not handled properly, to a certain degree this has a negative impact on the validity of statistical research results. Missing data imputation is an option to deal with this problem. This thesis conducts a simulation study in order to quantitatively analyze the performance of different imputation methods applied to a data set with missing values under a variety of different missing rates and missing data mechanisms. The imputation methods compared in this simulation study are mean substitution, which is a single imputation method, and the multiple imputation method, with the help of three powerful R-packages: MICE, Amelia II, and missForest. To enable comparison, the predicted residual error sum of squares (PRESS) statistic is selected as the evaluation criterion, and is calculated based on selected models after conducting variable selection. The comparison results are presented in the form of boxplots comprising the log-transformed PRESS statistic values of the four imputation methods. According to the comparison results three main conclusions can be drawn. First, missForest always exhibits the best performance, regardless of the missing rate and the missing data mechanism. Second, the performances of MICE and Amelia II do not show a fixed pattern. Third, mean substitution performs better than both MICE and Amelia II in certain situations.
The validity of the analog of the Riemann hypothesis for some parts of $\zeta(s)$ and the new formula for $\pi(x)$

An analog of the Riemann hypothesis is proved in this paper. Some new integral equations for the functions $\pi(x)$ and $R(x)$ follows. A new effect that is shown is that these function - with essentially different behavior - are the solutions of the similar integral equations. \noindent This paper is the English version of the paper of reference \cite{1}.
Photon, graviton and antigraviton

Aim: Human nature appears to urge us to drive ever further and ever faster and to ask deep questions even about the completely unknown. In this context, A photon appears to be such a mysterium on its own, however even if not completely unknown. Methods: The usual physical rules and laws were used. Results: Newton’s gravitational constant G is not a constant. An experiment is proposed to proof this issue deﬁnitely. The photon itself is determined by a graviton and an antigraviton. Conclusion: A graviton and an antigraviton are the determining parts of a photon.
Optical Microfiber Sensors: Sensing Mechanisms, and Recent Advances

Optical microfibers (MF), as a connection between fiber optics and nanotechnology, can realize enhanced light-matter/environment interactions, which benefit for optical sensing applications. In this paper, we introduce the fundamental working mechanisms of MF-based optical sensors and review their recent progress and status. We also discuss the challenges and opportunities of the MF sensors and provide some clues for future work.
Spontaneous Symmetry Breakdown in the IIB Matrix Model

In this thesis, we pursue the analysis of the IIB matrix model which is considered to be a constructive definition of type IIB superstring theory. We analyze the model on the basis of the improved perturbation theory and obtain evidence suggesting that the four dimensional flat space-time emerges as the most stable vacuum of the IIB matrix model. The improved perturbation theory is powerful tool to analyze a theory nonperturbatively. In fact, it works well when the ordinary perturbation theory breaks down, for instance, strong coupling regions. We also study an improved mean field approximation scheme, which is a systematic way to obtain an improved perturbation series. The another theoretical tool, the two-particle irreducible (2PI) free energy is also developed. We perform the calculation up to the 7th order of the approximation. We find an indication of emergence of a plateau, which was not clear at the previous analysis. In fact, we have evaluated the free energy and the extent of the eigenvalue distribution for various Lorentz symmetries by introducing corresponding mean fields. In the case of SO(4) symmetry, the free energy has more extrema as we go to higher orders and it seems that they form a plateau. Furthermore, the eigenvalues are widely distributed in the four directions while they tend to gather in the other six directions. One the other hand, if we impose SO(7) symmetry, the number of the extrema of the free energy does not grow enough to form a plateau, and the eigenvalues are distributed somewhat isotropically in ten directions. We also find that the other cases are reduced to the above two cases or do not have a plateau at all. We evaluate the 2738 graphs to obtain the free energy up to the 7th order. All the calculations, including generation of graphs and computation of them, are totally automatized now. We also explain the algorithm and confirm its validity. This thesis is based on the work in collaboration with H. Kawai, T. Kuroki and S. Shinohara [1].
Genetic diversity of three generations tinfoil barb Barbonymus schwanenfeldii (Bleeker 1854) from West Kalimantan, Indonesia

The success of domestication programme and sustainability of aquaculture is highly dependent on the result of evaluation and understanding of the genetic diversity. This study is aimed to evaluate the genetic diversity of three generations, G-0, G-1, G-2 of tinfoil barb from West Kalimantan. Genetic analysis was conducted by RAPD using three primers (OPA 08, OPA 09 and OPC 02). The samples of caudal fin from each generation used 10 individuals. Formation of the population generation was done by individual selection method based superior growth. The results of intrapopulation diversity showed that the percentage polymorphism and heterozygosity of G-0 to G-2 has decreased by 30-40% with value 42.50% ; 0.163 (G-0), 27.50% ; 0.105 (G-1) and 15.00%; 0.071 (G-2). Based on the domesticated showed the genetic distance ranged from 0.26 to 0.36. The closest genetic distance was G-1 and G-2 (0.26). The domestication process that has been done can cause the reduction in genotype diversity of tinfoil barb.
in Computer

: A records discovery and propagation protocol for wireless sensor networks (WSNs) is answerable for informing configuration parameters of, and allocating management guidelines to, the sensor nodes. All surviving records discovery and propagation protocols suffer from two problems. First, they are created on the centralized method; only the base station can issue data objects. Such an method is not proper for growing multi-owner-multi-user WSNs. Second, those protocols were not calculated with security in mind and hence challengers can simply launch attacks to damage the network. This paper suggests the first protected and circulated records discovery and propagation protocol named SDiDrip. It permits the network holders to approve multiple network workers with dissimilar freedoms to concurrently and directly distribute records objects to the sensor nodes. Moreover, as established by our theoretical investigation, it addresses a amount of probable security vulnerabilities that we have recognized. Extensive security investigation show SDiDrip is provably protected. We also implement SDiDrip in an trial network of source-limited sensor nodes to display its high efficiency in exercise.
Consiglio Nazionale delle Ricerche The IPERMOB System for Effective Real-Time Road TravelTime Measurement and Prediction

Accurate, real-time measurement and estimation of road travel time is considered a central problem in the design of advanced Intelligent Transportation Systems. In particular, whether eﬀective , real-time collection of travel time measurements in a urban area is possible is, to the best of our knowledge, still an open problem. In this paper, we introduce the IPERMOB system for ef-ﬁcient, real-time collection of travel time measurements in urban areas through vehicular networks. We demonstrate that travel time measurements can be accurately estimated onboard GPS-equipped vehicles, and delivered to a centralized server within a few seconds by sending a single message. Furthermore, in IPERMOB locations of travel time checkpoints can be dynamically changed through software reconﬁguration, thus at a very limited cost as compared to the enormous costs of, say, installing and/or changing location of automatic vehicle identiﬁcation equipment. We demonstrate the effectiveness of our approach through extensive travel time collection campaigns. In particular, our technique is shown to estimate travel time with an accuracy below 1% , with two-, three-orders of magnitude savings in both communication and storage resources with respect to existing techniques based on centralized collection of GPS traces. In the last part of the paper, we further show how real-time travel time measurements can be exploited to perform accurate, short range travel time predictions in situations where existing travel time prediction approaches are challenged (e.g., in presence of trafﬁc congestion). The effects of vehicular network penetration rate on accuracy of travel time prediction are also discussed.
Formal Veriﬁcation of Parameterized Multi-agent Systems Using Predicate Diagrams*

—This paper presents a formal diagram-based ver-iﬁcation technique for multi-agent systems. A multi-agent system is a collection of intelligent agents that interact with each others and work together to achieve a goal. We view multi-agent systems as parameterized systems which are systems that consist of several similar processes whose number is determined by an input parameter. The motivation of this work is that by treating multi-agent systems as parameterized systems, the speciﬁcation and veriﬁcation processes can be done in the same way regardless of the number of agents involved in the multi-agent systems. In this paper, we show how predicate diagrams* can be used to represent the abstractions of parameterized multi-agent systems described by speciﬁca-tions written in TLA*. The veriﬁcation process is done by integrating deduction veriﬁcation and algorithmic techniques. The correspondence between the original speciﬁcation and the diagram is established by non-temporal proof obligations; whereas model checker SPIN is used to verify properties over ﬁnite-state abstractions.
Toward Modeling Task Difficulty: The Case of Chess

— We investigate the question of experts’ ability to estimate task difficulty through a case study that asks players to rate tactical chess positions. In an eye tracking experiment, experts’ estimations are compared to the statistic–based difficulty ratings of the chesstempo.com website. The subjects’ solutions of chess problems and their considered chess variations are analyzed in connection to ChessTempo’s solutions. In addition, eye tracking and performance data (time and accuracy) are used as physiological indicators of subjectively perceived difficulty. In the course of our research, we also aim to identify the attributes of tactical positions that induce difficulty. Understanding the connection between players’ estimation of difficulty and the properties of the search trees of variations considered is essential for modeling the difficulty of tactical positions.
Noninstantaneous Wave-CISK for the Interaction between Convective Heating and Low-Level Moisture Convergence in the Tropics

The interaction between tropical convective heating and thermally forced circulation is investigated using a global dry primitive-equation model with the parameterization of wave-conditional instability of the second kind (CISK). It is demonstrated that deep convective heating can hardly sustain itself through the moisture convergence at low levels regardless of the fraction of immediate consumption of converged moisture. In contrast, when the fraction is large, shallow convective heating and its forced circulation exhibit preferred growth of small scales. As the ‘‘CISK catastrophe’’ mainly comes from the instantaneous characters of moisture–convection feedback in the conventional wave-CISK, a noninstantaneous wave- CISK is proposed, which highlights the accumulation–consumption (AC) time scale for the convective heating accumulation and/or the converged moisture consumption. In the new wave-CISK, once moisture is converged, the release of latent heat takes place gradually within an AC time scale. In this sense, convective heating is not only related to the instantaneous moisture convergence at the current time, but also to that which occurred in the past period of the AC time scale. The noninstantaneous wave-CISK could guarantee the occurrence of convective heating and/or moisture convergence at larger scales, and then favor the growth of long waves, and thus solve the problem of CISK catastrophe. With the new wave-CISK and AC time scale of 2 days, the simulated convective heating-driven system bears a large similarity to that of the observed convectively coupled Kelvin wave.
The alteration of metabolic profiling in the second trimester of GDM and high risk pregnancy, and a nomogram for predicting macrosomia

Objective Dyslipidemia Carnitine plays a key role in lipid metabolism. We aim to describe metabolic profiling in the second trimester based on carnitine related metabolomics in GDM and high risk pregnancy, and to find the potential risk factors in GDM and candidate metabolites for diagnosing GDM induced macrosomia. Methods We have randomly investigated 450 pregnant women and their neonates in this retrospective study and 56 (12.4%) GDM cases were diagnosed. We used LC-MS/MS performing metabolic profiling about 12 amino acids and 31 acylcarnitines (containing C0) to assess circulating metabolites concentration in different subgroup according maternal and newborn clinical characteristic. We also calculated the correlation coefficient between maternal and newborn. GDM potential metabolic risk factors were screened by PLS-DA. Multivariate regression analyses were used in identifying independent risk factors for GDM and macrosomia. Based on these carnitine-related factors, a nomogram for estimating macrosomia was developed. trimester. These metabolic risk factors in GDM may help understanding of the underlying biochemical pathology of GDM and help physician diagnosing macrosomia.