nils-herrmann/clean_scirepeval huggingface dataset:
Dual Connectivity in Heterogeneous Small Cell Networks with mmWave Backhauls
Venue: Mob. Inf. Syst.

Ultradense Network (UDN) with small cells is a key feature to begin a new era of 5G communication, which provides higher data rate, and accommodate explosive mobile traffic. Recently, mmWave based wireless backhauls accelerate deployment of the UDN by reducing cost of fiber optic cabling to small cells. The small cells can deliver user data to macro enhanced NodeBs (eNBs) using multihop relay in wireless backhaul mesh that consists of small and macro cell eNBs connected by the mmWave links. For such a heterogeneous small cell network (HetNet) 3GPP introduced dual connectivity (i.e. dual connections to macro and small cell eNBs) which is an attractive standard feature to manage user mobility and network access in the small cells. In this paper, we exploit dual connectivity scheme in a HetNet with the mmWave based backhaul mesh which introduces two main challenges for throughput maximization, multihop routing from small to macro cell, and selection of a small cell eNB for user equipment (UE) We establish an optimization model and find an optimal solution in terms of throughput and fairness using an IBM CPLEX solver. Additionally, we propose a heuristic algorithm for complexity reduction and compare it with the optimal results in evaluation.
Mobility Aware Uplink Interference Model for 5G Heterogeneous Networks
Venue: IEEE Transactions on Wireless Communications

To meet the surging demand for throughput, 5G cellular networks need to be more heterogeneous and much denser, by deploying more and more small cells. In particular, the number of users in each small cell can change dramatically due to users' mobility, resulting in random and time varying uplink interference. This paper considers the uplink interference in a 5G heterogeneous network, which is jointly covered by one macro cell and several small cells. Based on the Levy flight moving model, a mobility aware interference model is proposed to characterize the uplink interference from macro cell users to small cell users. In this model, the total uplink interference is characterized by its moment generating function, for both closed subscriber group (CSG) and open subscriber group (CSG) femto cells. In addition, the proposed interference model is a function of basic step length, which is a key velocity parameter of Levy flights. It is shown by both theoretical analysis and simulation results that the proposed interference model provides a flexible way of evaluating the system performance in terms of success probability and average rate.
Performance of Data Traffic in Small Cells Networks with Inter Cell Mobility
Venue: VALUETOOLS

We analyze the impact of inter cell mobility on data traffic performance in dense networks with small cells. To this end, a Markovian queuing model with impatience is proposed as a generic tool that captures mobility through the sojourn time of users in the cell. An approximate model, based on Quasi Stationary assumptions, is developed to speed up computation. We then show how the performance of a network of small cells is amenable to the application of the generic model to each individual cell; the analysis of a homogeneous network is further reduced to that of a single representative cell. Our approach is applied to derive the throughput of both mobile and static users, along with the probability of handover. Numerical evaluation and simulation results are provided to assess the accuracy of the approach and we show, in particular, that both classes of users benefit from a throughput gain induced by the "opportunistic" displacement of mobile users among cells.
On an open question of V. Colao and G. Marino presented in the paper "Krasnoselskii Mann method for non self mappings"
Venue: SpringerPlus

Let H be a Hilbert space and let C be a closed convex nonempty subset of H and $T C\rightarrow H$$T:C H a non self nonexpansive mapping. A map $h C\rightarrow R$$h:C R defined by $h(x) \inf \lambda \ge 0 \lambda x+(1 \lambda )Tx \in C $h(x)=inf{l>=0:lx+(1 l)TxC} Then, for a fixed $x_0 \in C$$x0C and for \begin{aligned}\alpha _0} \max \left\ \frac{1}{2},h({x_0} \right\\end{aligned}$a0=max12,h(x0) Krasnoselskii Mann algorithm is defined by $x_{n+1}\alpha _n+(1 \alpha _n)Tx_n,$xn+1=an+(1 an)Txn, where \alpha _{n+1}\max \alpha _n, h(x_{x_{n+1}$an+1=max{an,h(xxn+1) Recently, Colao and Marino ( 2015) have proved both weak and strong convergence theorems when C is a strictly convex set and T is an inward mapping. Meanwhile, they proposed a open question for a countable family of non self nonexpansive mappings. In this article, authors will give an answer and will prove the further generalized results with the examples to support them.
The Nationality and the Type of Celebrities Endorsing Products Versus Ethnocentric Attitudes of Polish Consumers

One of the methods of winning consumers' favor towards a brand is endorsement, which takes place when a brand or a product is advertised with the support of a widely known and admired person, who can be defined as a star. The effectiveness of endorsement depends on a number of factors, among others: the star's compatibility with the brand or the product, the creativity of the advertising message, or the choice of promotion forms and media. Another interesting issue is the influence of the nationality or the type of a star (an expert, an actor, a sports person) on the effectiveness of this form of marketing communication. This article aims to analyze the way in which endorsement of food products is perceived by consumers with ethnocentric attitudes. It is assumed that the attitudes of consumer ethnocentrism, which are characterized by the preference for the domestic or foreign brands and products, affect the reception of advertising messages endorsed by a domestic or a foreign star. On the basis of a survey conducted among Polish consumers, the authors will define the relationship between the nationality of the endorser of a food brand and the level of ethnocentrism diagnosed by means of CETSCALE (Shimp's and Sharma's Consumer Ethnocentrism Tendencies Scale) Moreover, they will specify the types of stars involved in the endorsement of food products, which are most favored by consumers with different levels of ethnocentrism. The obtained results indicate that the higher the level of consumer ethnocentrism towards food products, the stronger the preference for domestic stars endorsing brands and products.
Exploring the influence of celebrities in politics: A focus group study of young voters

A focus group study was conducted examining the way young voters interpret and make sense of celebrity influence in politics. Eight focus groups discussed the credibility and influence of celebrities when they speak on political and social issues. Findings suggest that young people have a complex interpretation of celebrity influence. Celebrity type, general credibility, identification with, and appropriateness to an issue were all key components in evaluating celebrity political credibility. Perceived influence of celebrities manifested in a greater interest in an issue but not necessarily an attitude change. There was a high degree of perceived influence on others; this was not always regarded positively. Social media was the primary medium for consumption of celebrity political appeals. An interweaving of all key themes suggests that young voters use aspirational identification and attachment to a celebrity to negotiate political messages. Normative implications and guidance for future research are discussed.
On the role of linguistic descriptions of data in the building of natural language generation systems
Venue: Fuzzy Sets Syst.

This paper explores the current state of the task of generating easily understandable information from data for people using natural language, which is currently addressed by two independent research fields: the natural language generation field and, more specifically, the data to text sub field and the linguistic descriptions of data field. Both approaches are explained in a detailed description which includes: i) a methodological revision of both fields including basic concepts and definitions, models and evaluation procedures; ii) the most relevant systems, use cases and real applications described in the literature. Some reflections about the current state and future trends of each field are also provided, followed by several remarks that conclude by hinting at some potential points of mutual interest and convergence between both fields.
Les structures de l'insertion par l'activite economique. Un accompagnement tres diversifie durant le parcours d'insertion

Le taux d'encadrement des salaries en insertion dans le secteur de l'insertion par l'activite economique est tres variable selon les structures. Chaque permanent en charge de l'accompagnement dans les entreprises d'insertion et les ateliers et chantiers d'insertion suit entre 2 et 4 salaries contre 10 ou plus dans les associations intermediaires et les entreprises de travail temporaire d'insertion. Cette difference resulte en partie de leurs activites production pour les premieres et mise a disposition aupres de clients pour les secondes. Les structures recourent a une multiplicite d'outils pour bien accompagner les salaries durant leur parcours d'insertion designation d'un referent, remise d'un livret d'accueil, entretiens de suivi, bilans socioprofessionnels, etc. L'accompagnement dispense differe selon la nature des difficultes sociales rencontrees par les salaries les problemes administratifs et d'acces aux droits, de mobilite, de logement et d'endettement sont ceux pour lesquels les responsables de structures declarent le plus souvent mettre en oeuvre un accompagnement. Il varie egalement selon l'intensite des difficultes rencontrees plus de 80 des structures augmentent la frequence des entretiens avec les permanents lorsque leurs salaries rencontrent davantage de difficultes.
A Framework for Heterogeneous Sensing in Big Sensed Data
Venue: 2016 IEEE Global Communications Conference (GLOBECOM)

The rising tide of data from Sensor Networks, Internet of Things devices and novel sensing systems (e.g. smart devices and wearable technology) are introducing a number of opportunities as well as challenges. While the diversity and abundance of sensing resources are providing a wealth of data for Information Services, we are facing growing challenges in coping with the volume, diversity, and inconsistency of data, both in reported values and measures of accuracy, in addition to challenges in interoperability among these systems to truly realize ubiquitous services that can harness information from aggregated data. At a time when real time access to data is critical to many applications, especially decision making processes, the status quo in coping with Big Sensed Data (BSD) is faltering. In this paper we build on recent advancements in interoperability, and frameworks for managing IoT, to present a framework for heterogeneous sensing in BSD (HetSense BSD) which adopts a multi phase approach in soliciting heterogeneous resources to serve Information services. We introduce a novel Selective Sensor Fusion (S2F) algorithm for pruning superfluous data at the source, to the reduce communication footprint of data with inferior quality, and better utilize access networks for delivering the best possible data from available resources to the services. We present a use case for HetSense BSD, and elaborate on the design of this framework as a first milestone in harnessing the aggregated potential of ubiquitously available resources in novel sensing systems.
Applications of MALDI TOF MS in environmental microbiology.
Venue: The Analyst

Matrix assisted laser desorption ionization time of flight (MALDI TOF) mass spectrometry (MS) is an emerging technique for microbial identification, characterization, and typing. The single colony method can be used for obtaining a protein fingerprint or profile unique to each microorganism. This technique has been mainly used in the clinical field, but it also has significant potential in the environmental field. The applications of MALDI TOF MS in environmental microbiology are discussed in this review. An overview on the use of MALDI TOF MS for environmental proteomics and metabolomics is given as well as its use for bacterial strain typing and bioremediation research. A more detailed review on the use of this technique for the identification, differentiation, and categorization of environmental microorganisms is given. Some of the parameters that can influence the results and reproducibility of MALDI TOF MS are also discussed.
The physiology of growth arrest: uniting molecular and environmental microbiology
Venue: Nature Reviews Microbiology

Most bacteria spend the majority of their time in prolonged states of very low metabolic activity and little or no growth, in which electron donors, electron acceptors and/or nutrients are limited, but cells are poised to undergo rapid division cycles when resources become available. These non growing states are far less studied than other growth states, which leaves many questions regarding basic bacterial physiology unanswered. In this Review, we discuss findings from a small but diverse set of systems that have been used to investigate how growth arrested bacteria adjust metabolism, regulate transcription and translation, and maintain their chromosomes. We highlight major questions that remain to be addressed, and suggest that progress in answering them will be aided by recent methodological advances and by dialectic between environmental and molecular microbiology perspectives.
Single stranded DNA phages: from early molecular biology tools to recent revolutions in environmental microbiology.
Venue: FEMS microbiology letters

Single stranded DNA (ssDNA) phages are profoundly different from tailed phages in many aspects including the nature and size of their genome, virion size and morphology, mutation rate, involvement in horizontal gene transfer, infection dynamics and cell lysis mechanisms. Despite the importance of ssDNA phages as molecular biology tools and model systems, the environmental distribution and ecological roles of these phages have been largely unexplored. Viral metagenomics and other culture independent viral diversity studies have recently challenged the perspective of tailed, double stranded DNA (dsDNA) phages, dominance by demonstrating the prevalence of ssDNA phages in diverse habitats. However, the differences between ssDNA and dsDNA phages also substantially limit the efficacy of simultaneously assessing the abundance and diversity of these two phage groups. Here we provide an overview of the major differences between ssDNA and tailed dsDNA phages that may influence their effects on bacterial communities. Furthermore, through the analysis of 181 published metaviromes we demonstrate the environmental distribution of ssDNA phages and present an analysis of the methodological biases that distort their study through metagenomics.
The geobiosphere emergy baseline: A synthesis

The concept of emergy defined as the available energy (or exergy) of one form used up directly and indirectly to produce an item or action (Odum, Environmental Accounting Emergy and Environmental Decision Making, John Wiley Sons, Inc. 1996) requires the specification of a uniform solar equivalent exergy reference, or geobiosphere emergy baseline (GEB) Three primary exergy sources of different origins interact to drive processes within the geobiosphere. Each of these sources are expressed in solar equivalent exergy from which, all other forms of energy can be computed, so that they may be expressed as emergy in units of solar emjoules. If emergy practitioners reference their work to a single agreed upon baseline, then all research products resulting from the application of the emergy approach will be inherently consistent and valid comparisons can then be made easily. In this paper, we synthesize information from three new calculation procedures of the emergy baseline for the geobiosphere and propose a unified solution.
Assessing the global environmental sources driving the geobiosphere: A revised emergy baseline

The empower that is derived from solar radiation, tidal momentum and geothermal sources drives the productive processes of the geobiosphere and is responsible for developing gradients of potential energy transformed into secondary energy and tertiary sources. In this paper we establish the geobiosphere emergy baseline (GEB) based on earlier methods proposed by Odum (2000) and refinements by Brown and Ulgiati (2010) After revising the solar exergy input and our previous interpretation of the sources and magnitudes of geothermal exergy, we compute a revised solar equivalent exergy and solar equivalence ratios (SERs) of geothermal and tidal inputs to the geobiosphere dynamic.
SciCorp: A Corpus of English Scientific Articles Annotated for Information Status Analysis
Venue: LREC

This paper presents SciCorp, a corpus of full text English scientific papers of two disciplines, genetics and computational linguistics. The corpus comprises co reference and bridging information as well as information status labels. Since SciCorp is annotated with both labels and the respective co referent and bridging links, we believe it is a valuable resource for NLP researchers working on scientific articles or on applications such as co reference resolution, bridging resolution or information status classification. The corpus has been reliably annotated by independent human coders with moderate inter annotator agreement (average kappa 0.71) In total, we have annotated 14 full papers containing 61,045 tokens and marked 8,708 definite noun phrases. The paper describes in detail the annotation scheme as well as the resulting corpus. The corpus is available for download in two different formats: in an offset based format and for the co reference annotations in the widely used, tabular CoNLL 2012 format.
The Architectural Transformation Of The Ottoman Provinces Under Tepedelenli Ali Pasha, 1788 1822

While recent movements in social and economic history encourage us to turn our gaze toward the provinces, the majority of the recent accounts of Ottoman art and architecture remain resolutely focused on the patronage of the imperial court in Istanbul. This thesis aims to expand this view, standing as the first analytical study devoted to the art and architecture of provincial notables in the Ottoman Empire. More specifically, this dissertation documents and analyzes the flourishing of cultural and architectural production on the empire's western frontier under Tepedelenli Ali Pasha, who governed what is now Greece and Albania for more than thirty years (r. 1788 1822) during the so called "Age of Revolutions." Ali Pasha could be considered part of a new class of provincial power holders that began to emerge throughout the empire in the eighteenth century. By tracing the governor's capacity to commission Western style portrait paintings or to construct urban architectural complexes including palaces, mosques, and even Christian monasteries, this thesis demonstrate that this shift in the political order translated into new, localized strategies for display and representation that both responded to and challenged conventions of architectural patronage established in Istanbul. A diverse range of evidence including architectural monuments, epigraphic inscriptions, European diplomatic sources and archival documents in both Ottoman Turkish and Greek uncovers the significant role that a provincial actor like Ali Pasha played in building theaters of influence outside of the palace system. Degree Type Dissertation Degree Name Doctor of Philosophy (PhD) Graduate Group History of Art First Advisor Renata Holod
New results on exponential synchronization of memristor based neural networks with discontinuous neuron activations
Venue: Neural Networks

This paper investigates the exponential synchronization of delayed memristor based neural networks (MNNs) with discontinuous activation functions. Based on the framework of Filippov solution and differential inclusion theory, using new analytical techniques and introducing suitable Lyapunov functionals, some novel sufficient conditions ensuring the exponential synchronization of considered networks are established via two types of discontinuous controls: linear feedback control and adaptive control. In particular, we extend the discontinuous control strategies for neural networks with continuous dynamics to MNNs with discontinuous activations. Numerical simulations are given to show the effectiveness of the theoretical results. Our approach and theoretical results have a leading significance in the design of synchronized MNN circuits involving discontinuous activations and time varying delays.
Readability of Arabic Medicine Information Leaflets: A Machine Learning Approach

This paper presents a project that explores the possibility of assessing the readability level of Arabic medicine information leaflets using machine learning techniques. There are a number of popular readability formulas and tools that have been successfully used to assess the readability of health related information in several languages. However, there is limited work on the readability assessment of health related information, specifically medicine information leaflets in Arabic. We describe the design of a tool that uses machine learning to assess the readability of medicine information leaflets. We utilize a corpus comprising 1112 medicine information leaflets annotated with three difficulty levels. Based on a study of existing literature, we selected a number of features influencing text difficulty. The tool will help specialized organizations in medicine information leaflets production to produce the leaflets at appropriate level of reading for the majority of leaflets consumers.
MLAR: Machine Learning based System for Measuring the Readability of Online Arabic News

Online news became one of the favorite information sources for most of the people nowadays because of its update rate and availability over the 24 hours rather than the traditional newspapers. Measuring the readability of the news articles gives a clear view for both the readers and the writers about how easily people can read and understand these articles. In this paper, we present MLAR, a new machine learning based system for Arabic text readability, and use it in measuring the readability of the Arabic online news articles from different outlets. The proposed system is able to determine the topic of each article efficiently and calculates its readability score level. The results show that readability of the online Arabic news is affected by the nature of its topic and the source outlet. The writing style of news articles in each topic differs from one outlet to another.