Miracle-dz/UniFAR-FTUs huggingface dataset:
A pooled time-series analysis on the relation between fertility and female emploment over space and time.

Various authors find that in OECD countries the cross-country correlation between the total fertility rate and the female labour force participation rate turned from a negative value before the 1980s to a positive value thereafter. Based on pooled time series analysis the literature seems to agree that this change is due to unmeasured country and time heterogeneity with respect to female employment. However the role of female employment for time and country heterogeneity remains unclear. Using data of 22 OECD countries from 1960-2000 we estimate pooled time series models of fertility and female labour force participation by applying random effects and fixed effects panel models as well as Prais-Winsten regressions with panel-corrected standard errors and autoregressive errors. Proceeding with Prais-Winsten regressions our empirical findings reveal substantial differences across countries and time periods in the effects of female employment on fertility. Initial increases in female employment strongly lowers fertility but continued increases have a progressively less negative effect. The country heterogeneity in the effect of female employment can also be confirmed for different regions as well as for varying welfare and gender regimes. (authors)
Destruction of the Galactic Globular Cluster System

We investigate the dynamical evolution of the Galactic globular cluster system in considerably greater detail than has been done hitherto, finding that destruction rates are significantly larger than given by previous estimates. The general scheme (but not the detailed implementation) follows Aguilar, Hut, & Ostriker. For the evolution of individual clusters, we use a Fokker-Planck code including the most important physical processes governing the evolution: two-body relaxation, tidal truncation of clusters, compressive gravitational shocks while clusters pass through the Galactic disk, and tidal shocks due to passage close to the bulge. Gravitational shocks are treated comprehensively, using a recent result by Kundić & Ostriker that the ⟨ΔE2⟩ shock-induced relaxation term, driving an additional dispersion of energies, is generally more important than the usual energy shift term ⟨ΔE⟩. Various functional forms of the correction factor are adopted to allow for the adiabatic conservation of stellar actions in a presence of transient gravitational perturbation. We use a recent compilation of the globular cluster positional and structural parameters, and a collection of radial velocity measurements. Two transverse to the line-of-sight velocity components were assigned randomly according to the two kinematic models for the cluster system (following the method of Aguilar, Hut, & Ostriker): one with an isotropic peculiar velocity distribution, corresponding to the present-day cluster population, and the other with the radially preferred peculiar velocities, similar to those of the stellar halo. We use the Ostriker & Caldwell and the Bahcall, Schmidt, & Soneira models for our Galaxy. For each cluster in our sample, we calculated its orbits over a Hubble time, starting from the present observed positions and assumed velocities. Medians of the resulting set of peri- and apogalactic distances and velocities are used then as an input for the Fokker-Planck code. Evolution of the cluster is followed up to its total dissolution due to a coherent action of all of the destruction mechanisms. The rate of destruction is then obtained as a median over all the cluster sample, in accord with Aguilar, Hut, & Ostriker. We find that the total destruction rate is much larger than that given by Aguilar, Hut, & Ostriker with more than half of the present clusters (52%-58% for the Ostriker & Caldwell model, and 75%-86% for the Bahcall, Schmidt, & Soneira model) destroyed in the next Hubble time. Alternatively put, the typical time to destruction is comparable to the typical age, a result that would follow from (but is not required by) an initially power law distribution of destruction times. We discuss some implications for a past history of the globular cluster system and the initial distribution of the destruction times, raising the possibility that the current population is but a very small fraction of the initial population with the remnants of the destroyed clusters constituting presently a large fraction of the spheroid (bulge + halo) stellar population.
Endocytosis of Interleukin 2 Receptors in Human T Lymphocytes: Distinct Intracellular Localization and Fate of the Receptor A,/3, and -y Chains

Members of the cytokine receptor family are composed of several noncovalently linked chains with sequence and structure homologies in their ex-tracellular domain. Receptor subfamily members share at least one component: thus the receptors for inter-leukin (IL) 2 and ILl5 have common ~ and 3" chains, while those for IL2, 4, 7, and 9 have a common 3' chain. The intracellular pathway followed by IL2 receptors after ligand binding and endocytosis was analyzed by immunofluorescence and confocal micros-copy in a human T lymphocytic cell line. Surprisingly, the a, ~, and 3' chains had different intracellular localizations after being endocytosed together. The ct chain was always in transferl-in-positive compartments (early/recycling endosomes), both at early and late in-ternalization times, but was never detected in rab7-positive compartments (late endosomes). On the other hand, at late internalization times, the/3 and 3, chains were excluded from transferrin-positive or-ganelles and did not colocalize with ~. Furthermore, /3 could be found in rab7-positive vesicles. These differences suggest that the ot chain recycles to the plasma membrane, while the ~ and 3' chains are sorted towards the degradation pathway. The half-lives of these three chains on the cell surface also reflect their different intracellular fates after endocytosis. The and 3' chains are very short-lived polypeptides since their half-life on the surface is only =1 h, whereas c~ is a much more stable surface protein. This shows for the first time that components of a multimeric receptor can be sorted separately along the endocytic pathway. T rtE cytokine interleukin 2 (IL2) ~ is produced by activated helper T lymphocytes and stimulates proliferation and effector functions of a variety of cells of the immune system (36, 46, 57). High-affinity IL2 receptors (Kd = 10-100 pM) consist of three distinct components, the a chain (IL2Rc~, 50-55 kD), the/3 chain (IL2RB, 70-75 kD) and the 3' chain (IL2R,y, 65 kD), that are associated in a non-covalent manner (36, 57). Both the/3 and ~ chains, but not the c~ chain, belong to the cytokine receptor superfamily (1, 5). This hematopoietic cytokine receptor family includes receptors such as IL3R, IL4R, IL5R, IL6R, IL7R, IL9R, IL15R, the erythropoietin receptor, the granulocyte colony-stimulating factor receptor, the granulocyte-macrophage colony-stimulating factor receptor, and the leukemia inhibi-tory factor receptor. This family also includes receptor pro-Address all correspondence to A. teins for factors that are believed to function normally outside the immune and hematopoietic system, i.e., growth hormone, prolactin and ciliary …
SDN Based Architecture for IoT and Improvement of the Security

With the exponential growth of devices connected to the Internet, security networks as one of the hardest challenge for network managers. Maintaining and securing such large scale and heterogeneous network is a challenging task. In this context, the new networking paradigm, the Software Defined Networking (SDN), introduces many opportunities and provides the potential to overcome those challenges. In this article, we first present a new SDN based architecture for networking with or without infrastructure, that we call an SDN domain. A single domain includes wired network, wireless network and Ad-Hoc networks. Next, we propose a second architecture to include sensor networks in an SDN-based network and in a domain. Third, we interconnect multiple domains and we describe how we can enhanced the security of each domain and how to distribute the security rules in order not to compromise the security of one domain. Finally, we propose a new secure and distributed architecture for IoT (Internet of Things).
CS 224 W Project Milestone Analysis of the YouTube Channel Recommendation Network

With over a billion users, YouTube is one of the largest online communities on the world wide web. For a user to upload a video on YouTube, they can create a channel. These channels serve as the home page for that account, displaying the account’s name, description, and public videos that have been uploaded to YouTube. In addition to this content, channels can recommend other channels. This can be done in two ways: the user can choose to feature a channel or YouTube can recommend a channel whose content is similar to the current channel. YouTube features both of these types of recommendations in separate sidebars on the user’s channel. We are interested analyzing in the structure of this potential network.
Cognitive task discrimination using approximate entropy (ApEn) on EEG signals

The work presented here aim to analyze approximate entropy (ApEn) of EEG signals and brain bands when subjects are performing various cognitive tasks. A hypothesis test was applied to evaluate the statistical differences between various cognitive tasks. ApEn was calculated onEEG signals, Alpha bands and Gamma band where the Wilcoxon signed-rank test was applied to analyze the statistical differences between each cognitive mental task. Delta, Theta, and Beta bands were analyzed as well but have not been reported because they do not have enough statistical difference. Results reported a statistical difference (p <; 0.05) for the EEG signals in 4 out of 10 pairs of mental tasks; while in the Alpha band we have obtained a statistical difference in 7 out of 10 pairs of mental tasks. The results obtained showed that ApEn have higher values than EEG signals with the Alpha band. These results showed that brain signals of the Alpha band are less complex than EEG signals. Our approach reports the analysis of brain signals with the ApEn algorithm to be a useful tool to discriminate cognitive tasks.
Bayesian network based services recommendation

Nowadays, how to efficiently compose web services has become a hotspot. In this paper, we introduce a method of recommending an optimal service sequence based on the original service sequence for a composite service. This method uses a Bayesian-based approach and selects the service sequence that has the largest probability as the best choice. Compared with existing methods, this method has two advantages: firstly, service sequences recommended by this method are robust; secondly, this method produces a composite service with a high quality and it does this efficiently. We have conducted experiments to illustrate how our work helps facilitate web service composition.
Trust management in mobile ad hoc networks using a scalable maturity-based model

In this paper, we propose a human-based model which builds a trust relationship between nodes in an ad hoc network. The trust is based on previous individual experiences and on the recommendations of others. We present the Recommendation Exchange Protocol (REP) which allows nodes to exchange recommendations about their neighbors. Our proposal does not require disseminating the trust information over the entire network. Instead, nodes only need to keep and exchange trust information about nodes within the radio range. Without the need for a global trust knowledge, our proposal scales well for large networks while still reducing the number of exchanged messages and therefore the energy consumption. In addition, we mitigate the effect of colluding attacks composed of liars in the network. A key concept we introduce is the relationship maturity, which allows nodes to improve the efficiency of the proposed model for mobile scenarios. We show the correctness of our model in a single-hop network through simulations. We also extend the analysis to mobile multihop networks, showing the benefits of the maturity relationship concept. We evaluate the impact of malicious nodes that send false recommendations to degrade the efficiency of the trust model. At last, we analyze the performance of the REP protocol and show its scalability. We show that our implementation of REP can significantly reduce the number messages.
Efficient inference of bacterial strain trees from genome-scale multilocus data

Motivation: In bacterial evolution, inferring a strain tree, which is the evolutionary history of different strains of the same bacterium, plays a major role in analyzing and understanding the evolution of strongly isolated populations, population divergence and various evolutionary events, such as horizontal gene transfer and homologous recombination. Inferring a strain tree from multilocus data of these strains is exceptionally hard since, at this scale of evolution, processes such as homologous recombination result in a very high degree of gene tree incongruence. Results: In this article we present a novel computational method for inferring the strain tree despite massive gene tree incongruence caused by homologous recombination. Our method operates in three phases, where in phase I a set of candidate strain-tree topologies is computed using the maximal cliques concept, in phase II divergence times for each of the topologies are estimated using mixed integer linear programming (MILP) and in phase III the optimal tree (or trees) is selected based on an optimality criterion. We have analyzed 1898 genes from nine strains of the Staphylococcus aureus bacteria, and identified a fully resolved (binary) strain tree with estimated divergence times, despite the high degrees of sequence identity at the nucleotide level and gene tree incongruence. Our method's efficiency makes it particularly suitable for analysis of genome-scale datasets, including those of strongly isolated populations which are usually very challenging to analyze. Availability: We have implemented the algorithms in the PhyloNet software package, which is available publicly at http://bioinfo.cs.rice.edu/phylonet/ Contact: nakhleh@cs.rice.edu
A Pilot Study of Emotion Regulation Strategies in a Psychodrama Group of Psychiatric Patients

ABSTRACT The researcher analyzed two emotion regulation strategies in a group of adults attending psychodrama psychotherapeutic group at an outpatient psychiatric clinic. The subjects, nine men and 15 women between the ages of 19 and 63 (with 14 subjects in young and 10 in middle adulthood) self-assessed their use of reappraisal and suppression using the Emotion Regulation Questionnaire at the beginning of their treatment and at its end. They use reappraisal rarely to sometimes, regardless of their age, gender, and diagnosis. In the first assessment, the participants in middle adulthood and men reported using suppression more than young adults and women. During treatment, middle-aged adults and men succeeded to decrease their use of suppression significantly more than the young adults and women.
The Unscented Kalman Filter for State Estimation of 3-Dimension Bearing-Only Tracking

The unscented Kalman filter (UKF) is presented as an alternative of extend Kalman filter (EKF) for bearing-only tracking. Compared with EKF, UKF has a better performance that estimation precision does not depend on state initialization error. In the same noise angle measurement data, UKF has better precision. UKF can be used to have a good estimation at large state initialization error. Simulation experiments are present and show that UKF is used for better state estimation result in 3- dimensin bearing-only tracking.
Semistochastic Quadratic Bound Methods

Partition functions arise in a variety of settings, including conditional random fields, logistic regression, and latent gaussian models. In this paper, we consider semistochastic quadratic bound (SQB) methods for maximum likelihood inference based on partition function optimization. Batch methods based on the quadratic bound were recently proposed for this class of problems, and performed favorably in comparison to state-of-the-art techniques. Semistochastic methods fall in between batch algorithms, which use all the data, and stochastic gradient type methods, which use small random selections at each iteration. We build semistochastic quadratic bound-based methods, and prove both global convergence (to a stationary point) under very weak assumptions, and linear convergence rate under stronger assumptions on the objective. To make the proposed methods faster and more stable, we consider inexact subproblem minimization and batch-size selection schemes. The efficacy of SQB methods is demonstrated via comparison with several state-of-the-art techniques on commonly used datasets.
Specification of Parametrized Programs - Persistency Revisited

We revisit the concept of persistent functor pointing out its well known limitations for the purpose of describing the semantics of specifications of parameterized data types (PDTs). We introduce a more general notion of a semantic functor F which requires only that the parameter algebra A is a subalgebra of its image F(A). We illustrate the flexibility and advantages of the proposed construction by examples.The main part of the paper concerns the syntactic restrictions on the specifications which allow one to define the semantics of PDTs in this way. One obtains the possibilities to: 1) preserve the carriers of the parameter algebras (corresponding to the classical persistency), or 2) extending carriers of the parameter algebras. The later situation means that one can, typically, use free functor semantics. In this case, one also has two further options: either 2a) to restrict the validity of the axioms from the parameter specification to apply only to the old elements (from the carriers of the parameter algebras), or 2b) to extend them to apply also to the new elements added to the carrier.We discuss the mechanism of actual parameter passing, actualization of the semantic functors and refer to an earlier work for the counterparts of the vertical and horisontal composition theorems, as well as the notion of refinement of PDTs which amounts to the refinement of the structure of the specified data type.
Iris recognition based on human-interpretable features

The iris is a stable biometric that has been widely used for human recognition in various applications. However, official deployment of the iris in forensics has not been reported. One of the main reasons is that the current iris recognition techniques in hard to visually inspect by examiners. To further promote the maturity of iris recognition in forensics, one way is to make the similarity between irises visualizable and interpretable. Recently, a human-in-the-loop iris recognition system was developed, based on detecting and matching iris crypts. Building on this framework, we propose a new approach for detecting and matching iris crypts automatically. Our detection method is able to capture iris crypts of various sizes. Our matching scheme is designed to handle potential topological changes in the detection of the same crypt in different acquisitions. Our approach outperforms the known visible feature based iris recognition method on two different datasets, by over 19% higher rank one hit rate in identification and over 46% lower equal error rate in verification.
Low-Temperature Processed Tin Oxide Transistor With Ultraviolet Irradiation

Using a novel ultraviolet (UV) irradiation method, we processed a high-performance thin-film transistor (TFT) at low temperatures. Satisfactory device integrity that was demonstrated by high field-effect mobility values of 92 and 43 cm<sup>2</sup>/Vs, small subthreshold slopes of 74 and 81 mV/decade, and ON-current/ OFF-current values of <inline-formula> <tex-math notation="LaTeX">$3\times 10^{6}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$7\times 10^{5}$ </tex-math></inline-formula> was achieved for the SnO<sub>2</sub> TFT at low processing temperatures of 180 °C and 100 °C, respectively. The results of X-ray photoelectron spectroscopy showed that the UV irradiation considerably increased the presence of Sn<sup>4+</sup> and reduced the presence of unwanted Sn<sup>2+</sup>, even at low processing temperatures, improving the quality of SnO<sub>2</sub>.
On the Double-Planet System around HD 83443

The Geneva group has reported two Saturn-mass planets orbiting HD 83443 (K0 V) with periods of 2.98 and 29.8 days. The two planets have raised interest in their dynamics because of the possible 10 : 1 orbital resonance and the strong gravitational interactions. We report precise Doppler measurements of HD 83443 obtained with the Keck/HIRES and the Anglo-Australian Telescope (AAT) UCLES spectrometers. These measurements strongly confirm the inner planet with a period of 2.985 days, with orbital parameters in very good agreement with those of the Geneva group. However, these Doppler measurements show no evidence of the outer planet, at thresholds of one-fourth (3 m s-1) of the reported velocity amplitude of 13.8 m s-1. Thus, the existence of the outer planet is in question. Indeed, the current Doppler measurements reveal no evidence of any second planet with a period less than a year.
Building complete Collaborative Filtering Method System

Collaborative filtering (CF) is a key technique in recommender system. Recently, general neighborhood problem existing in collaborative filtering is identified in our previous work, which could result into fatal wrong under multi-community or multi-interest case. In order to overcome it, collaborative filtering based on community (CFC) is presented. Unfortunately, CFC suffers from severer sparsity, which could result into worse performance. Various improved methods are proposed to enhance it. Based on a series of above methods, a complete and hierarchical Collaborative Filtering Method System (CFMS) is build. CFMS extend collaborative filtering, adapting to various different cases. Experiments are made to empirically valuate and compare various methods of CFMS.
Infusing Action Mazes into Language Assessment Class Using Quandary.

© ULUSLARARASI BİLİMSEL ARAŞTIRMA KİTABI Alanı: Eğitim Bilimleri, Dil ve Edebiyat Hazırlandığı Yer: Trakya Üniversitesi Eğitim Fakültesi Bu Kitap, Trakya Üniversitesi Bilimsel Araştırma Proje Birimi TÜBAP 2017/112 nolu Kapsamlı Araştırma Projesi Kapsamında hazırlanmıştır. Her hakkı saklı olup, kitap içerisinde yer alan yazıların her türlü sorumluluğu yazarlarına aittir. İzin alınmaksızın hiçbir şekilde ve hiçbir yolla tamamen veya kısmen çoğaltılamaz, kopyalanamaz, elektronik ortamlara kaydedilemez ve kaynakça belirtilmeden alıntı yapılamaz.
The impact of job insecurity on critical hotel employee outcomes: The mediating role of self-efficacy

ABSTRACT Drawing on social cognitive theory and threat-rigidity thesis, our study proposed a research model in which self-efficacy mediated the impact of job insecurity on absenteeism, service recovery performance (SRP), and service innovation behavior. Data were gathered from a time-lagged sample of hotel customer-contact employees (CCEs) and their direct supervisors in Turkey. The relationships mentioned above were assessed using structural equation modeling. As expected, self-efficacy, absenteeism, SRP, and service innovation behavior were the outcomes of job insecurity among CCEs. Consistent with our predictions, self-efficacy partly mediated the relationship between job insecurity and the abovementioned outcomes. Our study sheds new light on the underlying mechanism linking job insecurity to organizationally valued behavioral consequences.