nils-herrmann/clean_scirepeval huggingface dataset:
Double Sided Bandwidth Auction Game for Cognitive Device to Device Communication in Cellular Networks
Venue: IEEE Transactions on Vehicular Technology

Device to device (D2D) communication has been recently proposed to reduce cellular traffic by directly connecting the local nodes. In this paper, we consider a cellular based primary network coexisting with a cognitive D2D pair. The primary network consists of a base station and multiple cellular users, which can sell their spectrum to the D2D user. Additionally, under low interference conditions, the spectrum can be simultaneously shared between cellular users and D2D capable users, which is called the nonorthogonal sharing mode. We introduce a double sided bandwidth auction game for cognitive D2D communication. In the auction, the D2D transmitter has three types of service providers (SPs) or sharing modes. The SPs operate on different frequency spectra, and a D2D capable pair intends to share these spectra. This situation is formulated as an auction game, where a D2D transmitter bids a demand price bandwidth curve, and each SP offers a price bandwidth supply curve. The Nash equilibrium point of the auction game is analytically obtained. Then, a learning method is proposed for the decision making of the players in an incomplete information repeated game. Moreover, the convergence of the proposed learning method to the Nash equilibrium point is studied through the converse Lyapunov theorem. Finally, the proposed auction game is extended to the multiple D2D case, and the optimal bandwidth allocation strategy to maximize the sum rate is derived.
Cooperation via Spectrum Sharing for Physical Layer Security in Device to Device Communications Underlaying Cellular Networks
Venue: IEEE Transactions on Wireless Communications

In this paper, we investigate the cooperation issue via spectrum sharing when employing physical layer security concept into the device to device (D2D) communications underlaying cellular networks. First, we derive the optimal joint power control solutions of the cellular communication links and D2D pairs in terms of the secrecy capacity under a simple cooperation case and further propose a secrecy based access control scheme with the best D2D pair selection mechanism. Then, we consider a more general case that multiple D2D pairs can access the same resource block (RB) and one D2D pair is also permitted to access multiple RBs, and provide a novel cooperation mechanism in the investigated network. Furthermore, we formulate the provided cooperation mechanism among cellular communication links and D2D pairs as a coalitional game. Then, based on a newly defined max coalition order in the constructed game, we further propose a merge and split based coalition formation algorithm for cellular communication links and D2D pairs to achieve efficient and effective cooperation, leading to improved system secrecy rate and social welfare. Simulation results indicate the efficiency of the proposed secrecy based access control scheme and the proposed merge and split based coalition formation algorithm.
Spectrum sharing for D2D communication in 5G cellular networks: An auction based model
Venue: 2016 IEEE Annual India Conference (INDICON)

In this paper, we investigated the spectrum sharing problem for Device to Device (D2D) communications in ultra dense 5G cellular networks. We propose a simple method for D2D traffic to operate in coexistence with the legacy cellular traffic. We develop a two step distributed algorithm for channel allocation and mode selection (i.e. cellular mode or D2D mode) for the mobile station (MS) with the objectives of capacity maximization and minimizing interfering D2D links. In particular, considering the number of successful flow rate traffic as the performance measure, we access the benefit of the proposed method. We implemented our scheme in a multicell scenario with a mmWave enabled BS at the center. Our initial results show that the access capacity for both the traffic has not affected after sharing the spectrum.
Increased risk of chronic liver disease in patients with bipolar disorder: A population based study.
Venue: General hospital psychiatry

This study aimed to investigate the prevalence and incidence of chronic liver disease in patients with bipolar disorder.  We used a random sample of 766,427 subjects aged =18 years from the National Health Research Institute database in the year 2005. Subjects with at least one primary diagnosis of bipolar disorder in 2005 were identified. Patients with a primary or secondary diagnosis of chronic liver disease were also defined. We compared the prevalence and associated factors of chronic liver disease between patients with bipolar disorder and the general population in 2005. We also compared the incidence of chronic liver disease in patients with bipolar disorder and the general population from 2006 to 2010.  The prevalence of chronic liver disease in patients with bipolar disorder (13.9% was 2.68 times higher than that of the general population (5.8% in 2005. The average annual incidence of chronic liver disease in patients with bipolar disorder from 2006 to 2010 was also higher than that of the general population (2.95% vs. 1.73% risk ratio: 1.71; 95% confidence interval: 1.46 2.01)  Patients with bipolar disorder had a significantly higher prevalence and incidence of chronic liver disease than those in the general population, and younger patients with bipolar disorder have a much higher prevalence and incidence than those in the general population. Male sex, second generation antipsychotic or antidepressant use, and hyperlipidemia were associated factors for chronic liver disease in patients with bipolar disorder.
Endothelial damage in major depression patients is modulated by SSRI treatment, as demonstrated by circulating biomarkers and an in vitro cell model
Venue: Translational psychiatry

There is a link between depression, cardiovascular events and inflammation. We have explored this connection through endothelial dysfunction, using in vivo and in vitro approaches. We evaluated circulating biomarkers of endothelial dysfunction in patients with major depression at their diagnosis (MD 0) and during antidepressant treatment with the selective serotonin reuptake inhibitor escitalopram, for 8 and 24 weeks (MD 8 and MD 24) Results were always compared with matched healthy controls (CON) We measured in vivo circulating endothelial cells (CECs) and endothelial progenitor cells (EPCs) in blood samples, and assessed plasma levels of soluble von Willebrand factor (VWF) and vascular cell adhesion molecule 1 (VCAM 1) CEC counts, soluble VWF and VCAM 1 were statistically elevated in MD 0 (P<0.01 versus CON) and gradually decreased during treatment. Conversely, EPC levels were lower in MD 0, tending to increase throughout treatment. In vitro studies were performed in human endothelial cells cultured in the presence of sera from each study group. Elevated expression of the inflammation marker intercellular adhesion molecule 1 and oxidative stress, with lower presence of endothelial nitric oxide synthase and higher reactive oxygen species production, were found in cells exposed to MD 0 sera (P<0.05 versus CON) These results were normalized in cells exposed to MD 24 sera. Thrombogenicity of extracellular matrices generated by these cells, measured as expression of VWF, tissue factor and platelet reactivity, showed non significant differences. We provide a model of cultured endothelial cells reproducing endothelial dysfunction in naive patients with major depression, demonstrating endothelial damage and inflammation at diagnosis, and recovering with selective serotonin reuptake inhibitor treatment for 24 weeks.
Self Concept among Adolescents of Mixed Sex and Single Sex Education Schools

School plays a vital role in biopsychosocial development among students. One of the common debates of modern educational system is whether mixed sex education or single sex education is beneficial for the bio psychosocial development of adolescents. However previous research findings have not provided sufficient evidence to resolve the controversies, this study aimed at clarifying the question of 'which nature of schooling is effective for multi dimensional self concept? To resolve the controversy, self concept of boys and girls of four mixed sex schools and four single sex education schools was assessed with the help of Multidimensional selfconcept scale (MSCS)(Bruce and Bracken, 1992) Data were statistically analyzed with help of t test. As per result, competence and academic dimensions of self were found to be higher in students from single sex schooling but social dimension of self was elevated in students from mixed sex schooling for both sexes. Girls were found to have scored significantly higher than boys on social dimension of self for both types of schooling.
The Effect of Single Sex Education on Test Scores, School Completion, Arrests, and Teen Motherhood: Evidence from School Transitions

In 2010, the Ministry of Education in Trinidad and Tobago converted 20 low performing secondary schools from coeducational to single sex. I exploit these conversions to identify the causal effect of single sex schooling holding other school inputs constant. After also accounting for student selection, single sex cohorts at conversion schools score higher on national exams and are four percentage points more likely to complete secondary school. There are also important non academic effects; all boys cohorts have fewer arrests as teens, and all girls cohorts have lower teen pregnancy rates. These benefits are achieved at zero financial cost. Survey evidence suggests that these single sex effects reflect both direct gender peer effects due to interactions between classmates, and indirect effects generated through changes in teacher behavior.
The Effect of Single Sex Education on Academic Outcomes and Crime: Fresh Evidence from Low Performing Schools in Trinidad and Tobago

In 2010, the Ministry of Education in Trinidad and Tobago converted 20 low performing pilot secondary schools from coed to single sex. I exploit these conversions to identify the causal effect of single sex schooling holding other school inputs (such as teacher quality and leadership quality) constant. After also accounting for student selection, both boys and girls in single sex cohorts at pilot schools score 0.14s higher in the academic subjects on national exams. There is no robust effect on non academic subjects. Additionally, treated students are more likely to earn the secondary school leaving credential, and the all boys cohorts have fewer arrests. Survey evidence reveals that these single sex effects reflect both direct gender peer effects due to interactions between classmates, and also indirect effects generated through changes in teacher behavior. Importantly, these benefits are achieved at zero financial cost.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
Parameter change test for zero inflated generalized Poisson autoregressive models

In this paper, we consider the problem of testing for parameter change in zero inflated generalized Poisson (ZIGP) autoregressive models. We verify that the ZIGP process is stationary and ergodic and that the conditional maximum likelihood estimator (CMLE) is strongly consistent and asymptotically normal. Based on these results, we construct CMLE and residual based cumulative sum tests and show that their limiting null distributions are a function of independent Brownian bridges. The simulation results are provided for illustration. A real data analysis is performed on some crime data of Australia.
Generalized Poisson autoregressive models for time series of counts
Venue: Comput. Stat. Data Anal.

To better describe the characteristics of time series of counts such as over dispersion, asymmetry, structural change, and a large proportion of zeros, this paper considers a class of generalized Poisson autoregressive models that properly capture flexible asymmetric and nonlinear responses through a switching mechanism. We also investigate zero inflated generalized Poisson autoregressive models with a structural break that can cope with data having a large portion of zeros and changes in dynamics. We employ an adaptive Markov Chain Monte Carlo (MCMC) sampling scheme to locate the structural break and to estimate model parameters. As an illustration, we conduct a simulation study and empirical analysis of New South Wales crime data sets. Our findings show a remarkable improvement by modeling the data based on such generalized Poisson autoregressive models and the Bayesian method.
ANALISIS KECENDERUNGAN PENULISAN SKRIPSI MAHASISWA PROGRAM STUDI PENDIDIKAN MATEMATIKA DI IKIP PGRI BOJONEGORO

Masalah yang ingin diteliti adalah bagaimanakah sebaran penulisan skripsi mahasiswa program studi pendidikan matematika IKIP PGRI Bojonegoro? Dan tujuannya adalah untuk menganalisis dan mendeskripsikan?e?a sebaran penulisan skripsi mahasiswa program studi pendidikan matematika IKIP PGRI Bojonegoro. Penelitian ini termasuk penelitian deskriptif kualitatif, dengan subyek penelitian skripsi mahasiswa Program Studi Pendidikan Matematika. Metode pengumpulan data yang digunakan adalah metode observasi dan metode dokumentasi. Teknik analisisnya adalah analisis data kualitatif model Miles dan Hubermen, yaitu tahap reduksi data, tahap penyajian data, dan tahap pengambilan keputusan/verifikasi. Kesimpulan dalam penelitian ini adalah penulisan skripsi mahasiswa Program Studi Pendidikan Matematika cukup mengalami perubahan serta banyak variasi isu utama yang ditawarkan untuk menyelesaikan masalah di lapangan. Penulisan skripsi yang paling banyak dipilih mahasiswa Program Studi Pendidikan Matematika yaitu penelitian kuantitatif, subyek penelitiannya siswa SMP/MTs, model pembelajarannya NHT (Numbered Heads Together) isu sekundernya minat belajar, materi yang digunakan adalah bangun ruang sisi datar. Sedangkan metode pengumpulan datanya adalah tes, dokumentasi, angket serta wawancara. Teknik analisis datanya uji t dan anava dua jalan dengan sel tak sama.
Best offset hardware prefetching
Venue: 2016 IEEE International Symposium on High Performance Computer Architecture (HPCA)

Hardware prefetching is an important feature of modern high performance processors. When the application working set is too large to fit in on chip caches, disabling hardware pre fetchers may result in severe performance reduction. A new prefetcher was recently introduced, the Sandbox prefetcher, that tries to find dynamically the best prefetch offset using the sandbox method. The Sandbox prefetcher uses simple hardware and was shown to be quite effective. However, the sandbox method does not take into account prefetch timeliness. We propose an offset prefetcher with a new method for selecting the prefetch offset that takes into account prefetch timeliness. We show that our Best Offset prefetcher outperforms the Sandbox prefetcher on the SPEC CPU2006 benchmarks, with equally simple hardware.
PATer: A Hardware Prefetching Automatic Tuner on IBM POWER8 Processor
Venue: IEEE Computer Architecture Letters

Hardware prefetching on IBM's latest POWER8 processor is able to improve performance of many applications significantly, but it can also cause performance loss for others. The IBM POWER8 processor provides one of the most sophisticated hardware prefetching designs which supports 225 different configurations. Obviously, it is a big challenge to find the optimal or near optimal hardware prefetching configuration for a specific application. We present a dynamic prefetching tuning scheme in this paper, named prefetch automatic tuner (PATer) PATer uses a prediction model based on machine learning to dynamically tune the prefetch configuration based on the values of hardware performance monitoring counters (PMCs) By developing a two phase prefetching selection algorithm and a prediction accuracy optimization algorithm in this tool, we identify a set of selected key hardware prefetch configurations that matter mostly to performance as well as a set of PMCs that maximize the machine learning prediction accuracy. We show that PATer is able to accelerate the execution of diverse workloads up to 1.4x.
Bus transit service reliability: Understanding the impacts of overlapping bus service on headway delays and determinants of bus bunching

To retain and attract new riders, transit agencies are frequently in search for ways to improve system reliability. Transit agencies typically operate several routes that partially or fully overlay (or overlap) one another in order to offer a better service coverage to reach various destinations. While previous research has focused on understanding the general factors that impact headway adherence and delay, there has been little effort to address the effects of overlapping bus routes on service headway adherence and service bunching. This research investigates the impacts of bus route overlapping on service headway delay and probability of bunching at the stop level of analysis. The study uses automatic vehicle location (AVL) and automatic passenger count (APC) systems data collected from TriMet, the public transit provider for Portland, Oregon, USA, along one of its heavily utilized bus corridors, the Barbur bus corridor. It is shown that service overlapping can increase headway delay by 3.8 seconds, with no impacts on service bunching. It is also shown that headway delay is a function of scheduled headway between trips. Thus, scheduling more time between trips decreases the service delay, with a minimum of delay occurring at 20 minutes. Trips starting late at the beginning of a route increase the odds of bunching for the following trip on schedule more than its delay. This study offers transit agencies and schedulers a better understanding of the effects of service overlapping on service headway delays from schedule and the determinants of us bunching, which are important components of transit service reliability.
Closeness Centrality for Networks with Overlapping Community Structure
Venue: AAAI

Certain real life networks have a community structure in which communities overlap. For example, a typical bus network includes bus stops (nodes) which belong to one or more bus lines (communities) that often overlap. Clearly, it is important to take this information into account when measuring the centrality of a bus stop how important it is to the functioning of the network. For example, if a certain stop becomes inaccessible, the impact will depend in part on the bus lines that visit it. However, existing centrality measures do not take such information into account. Our aim is to bridge this gap. We begin by developing a new game theoretic solution concept, which we call the Configuration semivalue, in order to have greater flexibility in modelling the community structure compared to previous solution concepts from cooperative game theory. We then use the new concept as a building block to construct the first extension of Closeness centrality to networks with community structure (overlapping or otherwise) Despite the computational complexity inherited from the Configuration semivalue, we show that the corresponding extension of Closeness centrality can be computed in polynomial time. We empirically evaluate this measure and our algorithm that computes it by analysing the Warsaw public transportation network.
Cultures And Organizations Software Of The Mind Intercultural Cooperation And Its Importance For Survival

Thank you very much for downloading cultures and organizations software of the mind intercultural cooperation and its importance for survival. As you may know, people have look numerous times for their chosen readings like this cultures and organizations software of the mind intercultural cooperation and its importance for survival, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some infectious bugs inside their desktop computer.
Ring Theory

A ring is a non empty set R with two binary operations called addition and multiplication, respectively satisfying Axiom 1. Closure x, y R x y R Axiom 2. Commutative For every x, y R x y y x Axiom 3. Associative x, y, z R x (y z) (x y) z Axiom 4. Neutral th R such that x R, x th th x x We denote th by 0 Axiom 5. Inverse a R the equation a+ x th has a solution. Note that (R is an Abelian group. Axiom 6. Closure x, y R x y R Axiom 7. Associative x, y, z R, x (y z) (x y) z Axiom 8.
A difference ring theory for symbolic summation
Venue: J. Symb. Comput.

A summation framework is developed that enhances Karr's difference field approach. It covers not only indefinite nested sums and products in terms of transcendental extensions, but it can treat, e.g. nested products defined over roots of unity. The theory of the so called RPS* extensions is supplemented by algorithms that support the construction of such difference rings automatically and that assist in the task to tackle symbolic summation problems. Algorithms are presented that solve parameterized telescoping equations, and more generally parameterized first order difference equations, in the given difference ring. As a consequence, one obtains algorithms for the summation paradigms of telescoping and Zeilberger's creative telescoping. With this difference ring theory one gets a rigorous summation machinery that has been applied to numerous challenging problems coming, e.g. from combinatorics and particle physics.
Soft Union Ring and its Applications to Ring Theory

In this paper, soft union ring (SU ring) on a soft set is defined by using union operation of sets. This new concept shows how a soft set effects on a ring structure in the mean of union and inclusion of sets and from this overview, it functions as a bridge among soft set theory, set theory and ring theory. Then, its basic properties are derived and the relationship between soft intersection ring defined in [N. Cagman and F. Citak and H. Aktas, Soft intrings and its algebraic applications, Journal of Intelligent and Fuzzy Systems, 28 (3) 1225 1233 (2015) and SU ring are investigated. Furthermore, we give the applications of SU ring to ring theory.
Estimating the wake deflection downstream of a wind turbine in different atmospheric stabilities: an LES study

An intentional yaw misalignment of wind turbines is currently discussed as one possibility to increase the overall energy yield of wind farms. The idea behind this control is to decrease wake losses of downstream turbines by altering the wake trajectory of the controlled upwind turbines. For an application of such an operational control, precise knowledge about the inflow wind conditions, the magnitude of wake deflection by a yawed turbine and the propagation of the wake is crucial. The dependency of the wake deflection on the ambient wind conditions as well as the uncertainty of its trajectory are not sufficiently covered in current wind farm control models. In this study we analyze multiple sources that contribute to the uncertainty of the estimation of the wake deflection downstream of yawed wind turbines in different ambient wind conditions. We find that the wake shapes and the magnitude of deflection differ in the three evaluated atmospheric boundary layers of neutral, stable and unstable thermal stability. Uncertainty in the wake deflection estimation increases for smaller temporal averaging intervals. We also consider the choice of the method to define the wake center as a source of uncertainty as it modifies the result. The variance of the wake deflection estimation increases with decreasing atmospheric stability. Control of the wake position in a highly convective environment is therefore not recommended.