Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of Cytokines in Individuals Sensitive and Insensitive to Dust Mites in a Brazilian Population

Introduction Allergic reaction to dust mites is a relatively common condition among children, triggering cutaneous and respiratory responses that have a great impact on the health of this population. Anaphylactic hypersensitivity is characterized by an exacerbated response involving the production of regulatory cytokines responsible for stimulating the production of IgE antibodies. Objective To investigate an association of variants in cytokine genes (IL1A −889, IL1B −511, +3962, IL1R 1970, IL1RA 11100, IL4RA +1902, IL12 −1188, IFNG +874, TGFB1 codon 10, codon 25, TNFA −308, −238, IL2 −330, +166, IL4 −1098, −590, −33, IL6 −174, nt565, and IL10 −1082, −819, −592) between patients sensitive to dust mites and a control group. Methods A total of 254 patients were grouped as atopic and non-atopic according to sensitivity as evaluated by the Prick Test and to cytokine genotyping by the polymerase chain reaction-sequence specific primers (PCR-SSP) method using the Cytokine Genotyping Kit. Results A comparison between individuals allergic to Dermatophagoides farinae, Dermatophagoides pteronyssinus, and Blomia tropicalis and a non-atopic control group showed significant differences between allele and genotype frequencies in the regulatory regions of cytokine genes, with important evidence for IL4 −590 in T/C (10.2% vs. 43.1%, odd ratio [OR] = 0.15, p = 5.2 10−8, pc = 0.0000011, and 95% confidence interval [95%CI] = 0.07–0.32) and T/T genotypes (42.9% vs. 13.8%, OR = 4.69, p = 2.5 10−6, pc = 0.000055, and 95%CI = 2.42–9.09). Other associations were observed in the pro-inflammatory cytokines IL1A −889 (T/T, C, and T) and IL2 −330 (G/T and T/T) and the anti-inflammatory cytokines IL4RA +1902 (A and G), IL4 −590 (T/C, T/T, C, and T), and IL10 −592 (A/A, C/A, A, and C). Conclusion Our results suggest a possible association between single nucleotide polymorphisms (SNPs) in cytokine genes and hypersensitivity to dust mites.
Distributed Intelligent MEMS

In recent years, distributed intelligent microelectromechanical systems (DiMEMSs) have appeared as a new form of distributed embedded systems. DiMEMSs contain thousands or millions of removable autonomous devices, which will collaborate with each other to achieve the final target of the whole system. Programming such systems is becoming an extremely difficult problem. The difficulty is due not only to their inherent nature of distributed collaboration, mobility, large scale, and limited resources of their devices (e.g., in terms of energy, memory, communication, and computation) but also to the requirements of real-time control and tolerance for uncertainties such as inaccurate actuation and unreliable communications. As a result, existing programming languages for traditional distributed and embedded systems are not suitable for DiMEMSs. In this article, we first introduce the origin and characteristics of DiMEMSs and then survey typical implementations of DiMEMSs and related research hotspots. Finally, we propose a real-time programming framework that can be used to design new real-time programming languages for DiMEMSs. The framework is composed of three layers: a real-time programming model layer, a compilation layer, and a runtime system layer. The design challenges and requirements of these layers are investigated. The framework is then discussed in further detail and suggestions for future research are given.
Identification of some properties of a rattan (Daemonorops jenkinsiana)

In the north-eastern and south-eastern regions of Bangladesh, rattan (or cane) of different types are available in abundance. Among them 'Golla bet' (Daemonorops jenkinsiana) is one of the strongest rattans. In this paper an attempt is made to understand the tensile strength of this rattan. Also, tests were carried out to identify its behaviour as a reinforcing material in a concrete beam. All the rattan samples used in this study were collected from plants which were more than three years old. These samples were used to find the ultimate tensile strength (UTS), yield strength (YS) and modulus of elasticity p(MoE). Also, a pull-out test was performed to give an idea about the bond strength of this rattan with concrete. Here three types of specimens were prepared to investigate the relative performance. Each type included two specimens. A pull out test of steel was made to compare with rattan. Comparisons between the unit weight, strength and cost were also made. Finally, a Golla reinforced concrete beam was made to physically understand the contribution of Golla as flexural reinforcement. From the result of laboratory work it was seen that Golla bet offered prospective data which can be utilised as the preliminary reference for more work in the future related to this field.
When Market Illiquidity Generates Volume

In this paper, we develop an extended framework of the daily return-volume relationship which incorporates information and liquidity shocks. First, we distinguish between two trading strategies, information-based and liquidity-based trading and suggest that their respective impacts on returns and volume should be modeled differently. Second, we extend the microstructure setting of Grossman and Miller (1988) at the daily frequency in order to model the impact of liquidity frictions on daily trading characteristics. In particular, the model explains how the liquidity frictions can increase the daily traded volume, in the presence of liquidity arbitragers. Finally, based on this structural framework, we extend the econometric model of Tauchen and Pitts (1983) and derive a modified mixture of distribution hypothesis (MDH) model with two latent factors related to information and liquidity. This model allows us to infer the presence of liquidity frictions from daily data. We thus propose a stock-specific liquidity measure using daily return and volume observations of FTSE100 stocks. JEL classification: C51, C52, G12
Sophisticated EWA Learning and Strategic Teaching in Repeated Games

Most learning models assume players are adaptive (i.e., they respond only to their own previous experience and ignore others' payoff information) and that behavior is not sensitive to the way in which players are matched. Empirical evidence suggests otherwise. In this paper, we extend our adaptive experience-weighted attraction (EWA) learning model to capture sophisticated learning and strategic teaching in repeated games. The generalized model assumes that there is a mixture of adaptive learners and sophisticated players. Like before, an adaptive learner adjusts his behavior the EWA way. A sophisticated player however does not learn and rationally best-responds to her forecasts of all other behaviors. A sophisticated player can be either myopic or foresighted. A foresighted player develops multiple-period rather than single-period forecasts of others' behaviors and chooses to 'teach' the other players by choosing a strategy scenario that gives her the highest discounted net present value. Consequently a foresighted player can develop a reputation for herself by strategic teaching if she is matched with an adaptive player repeatedly. We estimate the model using data fromp-beauty contests and repeated entry-deterrence (chain-store) games. Overall, the results show that the generalized model is better than the adaptive EWA model in describing and predicting behavior. Including teaching also allows an empirical learning-based approach to reputation formation which is at least as plausible as the now-standard type-based approach, and is superior in predictive performance in four di®erent ways.
Research on Top Management Team Heterogeneity, Company Performance and Strategic Changes in the Transition Economy: An Empirical Research on Chinese Listed

In the period of transition economy, enterprises, facing more and fiercer competition, need continual change strategy adjusted to the environment in dynamic environment, this paper analyzes top management team (TMT) in transition economy and probe into the relationship between top management team heterogeneity, performance and company strategic change. After analysis of the data of 182 firms from Shenzhen and Shanghai listed in stock exchange market, the result shows: Company performance plays a moderate role in the relationship between TMT heterogeneity and strategic change; poorly performing company with higher TMT age heterogeneity is likely to change strategy, on the contrary, there is negative relationship between TMT functional experience heterogeneity and strategic change.
Sensitivity Analysis and Neural Networks

This study presents the methodology of sensitivity analysis and explores whether it can be an alternative evaluation criterion as well as a tool to ”read” artificial neural networks' knowledge. The simulation of the Black-Scholes formula is employed for this object. Since, in the Black-Scholes formula, the mapping relationship between the call price and five relevant variables is a mathematically close form, it is feasible to verify the validity of the methodology of sensitivity analysis. The experiment results are promising; they show that both values of the sensitivity analysis and the partial derivative of the Black-Scholes formula are consistent. Furthermore, the sensitivity analysis can be an alternative criterion for comparing the effectiveness of ANNs.
An Assay Study of Molecular Recognition of Amino Acids in Water: Covalent Imprinting of Cysteine

A novel synthetic N-(9-fluorenyl methoxy carbonyl)-L-Cysteine (Fmoc-Cys(SH)-OH) receptor was pre- pared by co-polymerizing (9-fluorenyl methoxy carbonyl)-S-(1-propene-2-thiol)-L-Cysteine (Fmoc-Cys(SCH2CHCH2)-OH) and a non-imprinted polymer prepared from 1-propene-1-thiol photo-chemically 15 h at room temperature and additional 3 h thermally at 80℃. Subsequently, disulfides were reduced with lithium aluminum hydride (LiAlH4) from imprinted polymers. The imprinted polymers selectively recognized Fmoc-Cys(SH)-OH with high binding constants in aqueous and protic solvents by thiol-disulfide exchange reactions. In order to estimate the covalent rebinding, particles were further extracted and disulfides reduced were estimated with the non-covalent recognized and covalently bounded analytes. From rebinding studies that were conducted, we observed that proved polymer particles could be reproducible and contain constant binding strengths and recognition properties. Furthermore, we proved that short incubation periods resulted in fast and efficient thiol-disulfide interchange reactions.
Mid-infrared imaging of the circumstellar dust around three Herbig Ae stars: HD 135344, CQ Tau, and HD 163296

Aims. Planet formation has been known for many years to be tied to the spatial distribution of gas and dust in disks around young stars. To constrain planet formation models, imaging observations of protoplanetary disks are required. Methods. Given this, we have undertaken a mid-infrared imaging survey of Herbig Ae stars, which are pre-main sequence stars of intermediate mass still surrounded by a large amount of circumstellar material. The observations were made at a wavelength of 20.5 μ m with the CAMIRAS camera mounted at the Cassegrain focus of the Canada France Hawaii Telescope. Results. We report the observations of three stars, HD 135344, CQ Tau, and HD 163296. The circumstellar material around the three objects is spatially resolved. The extensions feature a disk-like shape. The images provide direct information on two key parameters of the disk: its inclination and its outer radius. The outer radius is found to be quite different from the one deduced from disk models, which is only constrained by fitting the Spectral Energy Distribution of the object. Other parameters of the disk, such as flaring and dust mass have been deduced from fitting both the observed extension and the spectral energy distribution with sophisticated disk models. Conclusions. Our results show how important imaging data are to tighten constraints on the disk model parameters.
Predicting News Popularity by Mining Online Discussions

The paper presents a framework for the prediction of several news story popularity indicators, such as comment count, number of users, vote score and a measure of controversiality. The framework employs a feature engineering approach, focusing on features from two sources of social interactions inherent in online discussions: the comment tree and the user graph. We show that the proposed graph-based features capture the complexities of both these social interaction graphs and lead to improvements on the prediction of all popularity indicators in three online news post datasets and to significant improvement on the task of identifying controversial stories. Specifically, we noted a 5% relative improvement in mean square error for controversiality prediction on a news-focused Reddit dataset compared to a method employing only rudimentary comment tree features that were used by past studies.
Evolving Lucene search queries for text classification

We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to construct Lucene search queries. Genetic programs acquire fitness by producing queries that are effective binary classifiers for a particular category when evaluated against a set of training documents. We describe a set of functions and terminals and provide results from classification tasks.
Inhibitory Effects of Partially Decomposed Alginate on Production of Glucan and Organic Acid by Streptococcus sobrinus 6715

Our previous study has already clarified that partially decomposed alginate (Alg53) by Vibrio alginolyticus SUN53 has a competitive inhibitory effect on sucrase. The objective of this study is to evaluate the influence of Alg53 on the production of glucan from sucrose by glucosyltransferase and acid from glucose by Streptococcus sobrinus 6715. Glucosyltransferase was prepared from cultural medium of S. sobrinus using ultrafiltration and hydroxyapatite chromatography. In order to examine the inhibitory effect of Alg53 for production of glucan by GTase, partially purified GTase, sucrose and Alg53 solution were incubated at 37°C. The influence of Alg53 on the production of acid from glucose was evaluated by a degree of pH decline during the incubation for 60 min. The original Alg53 solution markedly inhibited to 21% of the synthesis of water-insoluble glucan from sucrose and that of 10-fold diluted of Alg53 solution was 23%. However, the production of water-soluble glucan from sucrose by GTase was hardly affected by Alg53. Furthermore, Alg53 suppressed dose-dependently pH decline by organic acid converted from glucose. These results suggest that Alg53 is expected as a functional food material which prevents or reduces dental caries.
Joint optimization of relay strategies and resource allocations in cooperative cellular networks

This paper considers a wireless cooperative cellular data network with a base station and many subscribers in which the subscribers have the ability to relay information for each other to improve the overall network performance. For a wireless network operating in a frequency-selective slow-fading environment, the choices of relay node, relay strategy, and the allocation of power and bandwidth for each user are important design parameters. The design challenge is compounded further by the need to take user traffic demands into consideration. This paper proposes a centralized utility maximization framework for such a network. We show that for a cellular system employing orthogonal frequency-division multiple-access (OFDMA), the optimization of physical-layer transmission strategies can be done efficiently by introducing a set of pricing variables as weighting factors. The proposed solution incorporates both user traffic demands and the physical channel realizations in a cross-layer design that not only allocates power and bandwidth optimally for each user, but also selects the best relay node and best relay strategy (i.e. decode-and-forward vs. amplify-and-forward) for each source-destination pair
Crystal structure of tetraaqua(dimethylformamide)tetrakis(μ-N,2-dioxidobenzene-1-carboximidato)tetrakis(μ-trimethylacetato)tetramanganese(III)sodiumyttrium–dimethylformamide–water (1/8.04/0.62)

The title compound is an example of a 12-metallacrown-4 self-assembled supramolecular coordination complex with ring MnIII ions. A YIII ion and Na+ ion are captured on opposite sides of the metallacrown cavity, and the YIII ion is tethered to the metallacrown with four trimethylacetate anions.
Socially Relevant Venue Clustering from Check-in Data

The recent proliferation of location-based social network services has resulted in an abundance of spatial-temporal data on user mobility. Understanding individual and collective mobility patterns is important for many applications. In this study, we examine the similarity of users based on the venues they have visited in the past. In contrast to the previous approaches that measure user similarity based on co-location patterns, here we rst cluster venues in some latent (lower-dimensional) space, which allows us to capture the similarity between two users who have not necessarily visited the exact same venues in the past. We validate our approach on real-world data and demonstrate an improved performance over previous methods.
PartSLAM: Unsupervised part-based scene modeling for fast succinct map matching

In this paper, we explore the challenging 1-to-N map matching problem, which exploits a compact description of map data, to improve the scalability of map matching techniques used by various robot vision tasks. We propose a first method explicitly aimed at fast succinct map matching, which consists only of map-matching subtasks. These tasks include offline map matching attempts to find a compact part-based scene model that effectively explains each map using fewer larger parts. The tasks also include an online map matching attempt to efficiently find correspondence between the part-based maps. Our part-based scene modeling approach is unsupervised and uses common pattern discovery (CPD) between the input and known reference maps. This enables a robot to learn a compact map model without human intervention. We also present a practical implementation that uses the state-of-the-art CPD technique of randomized visual phrases (RVP) with a compact bounding box (BB) based part descriptor, which consists of keypoint and descriptor BBs. The results of our challenging map-matching experiments, which use a publicly available radish dataset, show that the proposed approach achieves successful map matching with significant speedup and a compact description of map data that is tens of times more compact. Although this paper focuses on the standard 2D pointset map and the BB-based part representation, we believe our approach is sufficiently general to be applicable to a broad range of map formats, such as the 3D point cloud map, as well as to general bounding volumes and other compact part representations.
Semi-Trusted Mixer Based Privacy Preserving Distributed Data Mining for Resource Constrained Devices

In this paper a homomorphic privacy preserving association rule mining algorithm is proposed which can be deployed in resource constrained devices (RCD). Privacy preserved exchange of counts of itemsets among distributed mining sites is a vital part in association rule mining process. Existing cryptography based privacy preserving solutions consume lot of computation due to complex mathematical equations involved. Therefore less computation involved privacy solutions are extremely necessary to deploy mining applications in RCD. In this algorithm, a semi-trusted mixer is used to unify the counts of itemsets encrypted by all mining sites without revealing individual values. The proposed algorithm is built on with a well known communication efficient association rule mining algorithm named count distribution (CD). Security proofs along with performance analysis and comparison show the well acceptability and effectiveness of the proposed algorithm. Efficient and straightforward privacy model and satisfactory performance of the protocol promote itself among one of the initiatives in deploying data mining application in RCD.
Cdc42/N-WASP signaling links actin dynamics to pancreatic β cell delamination and differentiation

Delamination plays a pivotal role during normal development and cancer. Previous work has demonstrated that delamination and epithelial cell movement within the plane of an epithelium are associated with a change in cellular phenotype. However, how this positional change is linked to differentiation remains unknown. Using the developing mouse pancreas as a model system, we show that β cell delamination and differentiation are two independent events, which are controlled by Cdc42/N-WASP signaling. Specifically, we show that expression of constitutively active Cdc42 in β cells inhibits β cell delamination and differentiation. These processes are normally associated with junctional actin and cell-cell junction disassembly and the expression of fate-determining transcription factors, such as Isl1 and MafA. Mechanistically, we demonstrate that genetic ablation of N-WASP in β cells expressing constitutively active Cdc42 partially restores both delamination and β cell differentiation. These findings elucidate how junctional actin dynamics via Cdc42/N-WASP signaling cell-autonomously control not only epithelial delamination but also cell differentiation during mammalian organogenesis.
A progressive-ILP based routing algorithm for cross-referencing biochips

Due to recent advances in microfluidics technology, digital microfluidic biochips and their associated CAD problems have gained much attention, most of which has been devoted to direct-addressing biochips. In this paper, we solve the droplet routing problem under the more scalable cross-referencing biochip paradigm, which uses row/column addressing scheme to activate electrodes. We propose the first droplet routing algorithm that directly solves the problem of routing in cross-referencing biochips. The main challenge of this type of biochips is the electrode interference which prevents simultaneous movement of multiple droplets. We first present a basic integer linear programming (ILP) formulation to optimally solve the droplet routing problem. Due to its complexity, we also propose a progressive ILP scheme to determine the locations of droplets at each time step. Experimental results demonstrate the efficiency and effectiveness of our progressive ILP scheme on a set of practical bio assays.
The Trypanosoma brucei MitoCarta and its regulation and splicing pattern during development

It has long been known that trypanosomes regulate mitochondrial biogenesis during the life cycle of the parasite; however, the mitochondrial protein inventory (MitoCarta) and its regulation remain unknown. We present a novel computational method for genome-wide prediction of mitochondrial proteins using a support vector machine-based classifier with ∼90% prediction accuracy. Using this method, we predicted the mitochondrial localization of 468 proteins with high confidence and have experimentally verified the localization of a subset of these proteins. We then applied a recently developed parallel sequencing technology to determine the expression profiles and the splicing patterns of a total of 1065 predicted MitoCarta transcripts during the development of the parasite, and showed that 435 of the transcripts significantly changed their expressions while 630 remain unchanged in any of the three life stages analyzed. Furthermore, we identified 298 alternatively splicing events, a small subset of which could lead to dual localization of the corresponding proteins.