Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Player Multi-Armed Bandits for Stable Allocation in Heterogeneous Ad-Hoc Networks

Next generation networks are expected to be ultra-dense and aim to explore spectrum sharing paradigm that allows users to communicate in licensed, shared as well as unlicensed spectrum. Such ultra-dense networks will incur significant signaling load at base stations leading to a negative effect on spectrum and energy efficiency. To minimize signaling overhead, an ad-hoc approach is being considered for users communicating in the unlicensed and shared spectrums. For such users, decisions need to be completely decentralized as: 1) No communication between users and signaling from the base station is possible which necessitates independent channel selection at each user. A collision occurs when multiple users transmit simultaneously on the same channel, 2) Channel qualities may be heterogeneous, i.e., they are not same across all users, and moreover, are unknown, and 3) The network could be dynamic where users can enter or leave anytime. We develop a multi-armed bandit based distributed algorithm for static networks and extend it for the dynamic networks. The algorithms aim to achieve stable orthogonal allocation (SOC) in finite time and meet the above three constraints with two novel characteristics: 1) Low complexity narrowband radio compared to wideband radio in existing works, and 2) Epoch-less approach for dynamic networks. We establish convergence of our algorithms to SOC and validate via extensive simulation experiments.
Message Passing-Based Link Configuration in Short Range Millimeter Wave Systems

Millimeter wave (mmWave) communication in typical wearable and data center settings is short range. As the distance between the transmitter and the receiver in short range scenarios can be comparable to the length of the antenna arrays, the common far field approximation for the channel may not be applicable. As a result, dictionaries that result in a sparse channel representation in the far field setting may not be appropriate for short distances. In this paper, we develop a novel framework to exploit the structure in short range mmWave channels. The proposed method splits the channel into several subchannels for which the far field approximation can be applied. Then, the structure within and across different subchannels is leveraged using message passing. We show how information about the antenna array geometry can be used to design message passing factors that incorporate structure across successive subchannels. Simulation results indicate that our framework can be used to achieve better beam alignment with fewer channel measurements when compared to standard compressed sensing-based techniques that do not exploit structure across subchannels.
An algorithm and architecture for server-side processing of model-bound compositional web forms

Web forms that support rich interaction patterns are time-consuming to develop. This is mainly because of their inherent complexity and the lack of reusability and compositionality in many of today’s form libraries. This thesis proposes an algorithm for server-side form processing which addresses four challenges: Reusability of form components, the ability to compose components for modeling higher-level components, the reduction of crosscutting effects between the different layers of a Model-View-Controller architecture and the integration of the domain model into the form layer. Methodologically, this work uses an exemplary form to highlight the beforementioned challenges and then presents a three-step approach for solving them. The first of these steps is described in detail. It introduces an object-oriented framework consisting of form objects, data transformers, data mappers and event listeners. With these tools, one can construct reusable form components and exploit synergy effects between applications that employ similar interaction patterns. Together with a full implementation in the web framework Symfony2, the proposed algorithm is a significant step towards rapid development of rich web forms.
Monotone Emulation of Computer Experiments

In statistical modeling of computer experiments, prior information is sometimes available about the underlying function. For example, the physical system simulated by the computer code may be known to be monotone with respect to some or all inputs. We develop a Bayesian approach to Gaussian process modeling capable of incorporating monotonicity information for computer model emulation. Markov chain Monte Carlo methods are used to sample from the posterior distribution of the process given the simulator output and monotonicity information. The performance of the proposed approach in terms of predictive accuracy and uncertainty quantification is demonstrated in a number of simulated examples as well as a real queuing system application.
Matching Complex Documents Using Tolerance Rough Set Model

Matching documents is to find similar ones of a given document from an existing document database. It is an important problem in practice as well as in research. This paper presents a method for matching document applying to identify duplicate errors in network systems. The database we used is CISCO network errors database (CNED), a collection of documents that describe error cases occurred in network systems. Each document is a complex document composed of several parts in different types: plain text, source code, dump code, debug, etc. Our experiments are carried out for CNED but the method can be extended to many other kinds of complex documents.
2 . 1 Potential Health Benefits of Bamboo Leaf Extracts 2 . 1 . 1 Phyllostachys edulis ( Carrière )

Bamboo plants play a significant role in traditional Asian medicine, especially in China and Japan. Biomedical investigations on the health-benefiting effects as well as toxicity of different parts and species of bamboo have been carried out worldwide since the 1960s, and documented a wide range of protective effects of bamboo-derived products, such as protection against oxidative stress, inflammation, lipotoxicity, cancer, and cardiovascular disease. Some of these products may interfere with male and female reproductive function, thyroid hormone metabolism, and hepatic xenobiotransformation enzymes. The diversity of bamboo species, parts of the plants available for medicinal use, and different extraction methods suggest that bamboo has great potential for producing a range of extracts with functional utility in medicine.
EFFECT OF THE PRESENCE OF CLAY AND LIMESTONE DUST PARTICLES ON THE PHYSICO-MECHANICAL CHARACTERISTIS OF CONCRETE

Zitouni Salim, Naceri Abdelghani and Maza Mekki. 2018. Effect of the presence of clay and limestone dust particles on the physico-mechanical characteristis of concrete. Lebanese Science Journal, 19(2): 229-246. The effects of clay and limestone dusts in the aggregates on the physico mechanical characteristics of concrete were investigated. The fine aggregates (dune sand) and coarse aggregates (crushed gravels) used in this study were washed, dried and sieved.Two different mineralogical compositions of dusts (clay and stone) were incorporated in different rates(0%, 5%, 10%, 15%, 20%, 25% and 30%) by replacementin weight of fine (dune sand) and coarse (crushed gravel) aggregates. The presence of clay and limestone dust particles in the fine and coarse aggregates in excessive quantities influenced the physico – mechanical properties of fresh and hardened concrete. The results obtained showed that the effect of clay dust content is more important compared to limestone dust content on the properties of concrete.
Rebuilding and Reinterpreting a Digital Musical Instrument - The Sponge

Although several Digital Musical Instruments (DMIs) have been presented at NIME, very few of them remain accessible to the community. Rebuilding a DMI is often a necessary step to allow for performance with NIMEs. Rebuilding a DMI exactly similar to its original, however, might not be possible due to technology obsolescence, lack of documentation or other reasons. It might then be interesting to re-interpret a DMI and build an instrument inspired by the original one, creating novel performance opportunities. This paper presents the challenges and approaches involved in rebuilding and re-interpreting an existing DMI, The Sponge by Martin Marier. The rebuilt versions make use of newer/improved technology and customized design aspects like addition of vibrotactile feedback and implementation of different mapping strategies. It also discusses the implications of embedding sound synthesis within the DMI, by using the Prynth framework and further presents a comparison between this approach and the more traditional ground-up approach. As a result of the evaluation and comparison of the two rebuilt DMIs, we present a third version which combines the benefits and discuss performance issues with these devices.
Low-Latency Speaker Tracking and SOA-Compliant Services for Ambient Intelligence Environments

As the most natural interface for human interaction, speech can be exploited to track users and then customize services as they get available. Low latency is required, since adaptation to user profiles must be done in a continuous fashion. However, most speaker tracking approaches found in the literature work offline, fully processing pre-recorded audio files by means of a two-stage procedure involving acoustic segmentation and speaker detection. In this work, a low-latency online speaker tracking approach is applied, which deals with continuous audio streams and outputs a decision at fixed intervals, by scoring fixed-length audio segments with regard to a set of target speaker models. Experimental results are reported on the AMI Corpus of meeting conversations, revealing the effectiveness of the proposed approach with regard to a traditional approach working offline. A speaker tracking service and a lower-level auxiliary speaker detection service have been also designed, based on the online low-latency speaker tracking approach mentioned above. These services are SOA-compliant and provide an interoperable, reusable and easily evolvable means to develop SOA-based speaker tracking applications for Ambient Intelligence (AmI) environments.
Brucelosis Aguda tras la Exposición Accidental a la Vacuna Brucella melitensis Rev-1

Brucellosis is mainly transmitted to humans by direct contact with infected animals, consumption of nonpasteurized dairy products or through inhalation of aerosols. However, the disease may also be transmitted by exposure to Brucella vaccination that is used in veterinary medicine. In the literature, there were a few case reports of persons who developed brucellosis after unintentional inoculation or conjunctival exposure to the live Brucella vaccine. Here, we describe a sheep farmer with acute brucellosis that occurred as a result of unintentional percutaneous exposure to Brucella melitensis Rev 1 animal vaccine while vaccinating lambs.
Online Intrusion Detection System Modeling

An intrusion detection system (IDS) is a security layer used to detect ongoing intrusive activities in information systems. Traditionally, intrusion detection relies on extensive knowledge of security experts, in particular, on their familiarity with the computer system to be protected. Alert aggregation is an important subtask of intrusion detection. The goal is to identify and to cluster differentalerts—produced by low-level intrusion detection systems, firewalls, etc.—belonging to a specific attack instance which has been Initiated by an attacker at a certain point in time. With three benchmark data sets, we demonstrate that it is possible to achieve reduction rates of up to 99.96 percent while the number of missing metaalerts is extremely low. In addition, meta-alerts are generated with a delay of typically only a few seconds after observing the first alert belonging to a new attack instance.
Modified embedded zerotree wavelet algorithm for fast implementation of wavelet image codec

Embedded zerotree wavelet (EZW) coding, proposed by Shapiro is one of the commonly used algorithms for wavelet image coding. The speeds of coding and decoding are important issues in the implementation of an image codec. The algorithm proposed by Shapiro requires large execution times due to the numerous comparisons involved. This algorithm is modified to improve the speeds of the encoder and the decoder without otherwise affecting the performance. The modification results in faster software implementation and much faster implementation on a hardware-like platform (tested here using a DSP).
A programming framework for a group of multiple mobile robots moving in a real world

In this paper, we discuss about a programming framework for multiple mobile robot. The framework is targeted on a group of real robots operating in proximity, especially robots in formation. In such case, following major problems should be considered. First problem is about coordinate system which behaviors are described. Second is about timings of starting and ending actions. To handle these problems, some functionalities that the framework should provides are proposed. Furthermore, an implementation of the framework is described.
On partial-function application in Z

We discuss the application of partial functions to elements outside their domain in the context of the Z language and CADiZ tool. We illustrate some surprising results that can arise, and show that they may be readily justified, but also show that undesirable results can arise that are less readily resolved. We offer two possible resolutions, one that involves a simple change to, for example, free types, and another more contentious approach that involves, in particular, a new semantics for Z. We discuss the advantages and disadvantages of both approaches.
AUTOIMMUNITY BY THE ARYL HYDROCARBON RECEPTOR

The ligand-activated transcription factor aryl hydrocarbon receptor controls the activity of several components of the immune system, many of which play an important role in neuroinflammation. This review discusses the role of AhR in T cells and dendritic cells, its relevance for the control of autoimmunity in the central nervous system, and its potential as a therapeutic target for immune mediated disorders.
Omnidocument technologies

An optical character recognition (OCR) engine that is omnifont and reasonably robust on individual degraded characters is presented. The weakest link is its handling of characters which are difficult to segment. The engine is divided into four phases: segmentation, image recognition, ambiguity resolution, and document analysis. The features are zonal and reduce the image to a blurred, gray-level representation. The classifier is data-driven, trained offline, and model-free. Handcrafted features and decision trees tend to be brittle in the presence of noise. To satisfy the needs of full-text applications, the system captures the structure of the document so that, when viewed in a word processor or spreadsheet program, the formatting of the optically recognized document reflects that of the original document. To satisfy the needs of the forms market, a proofing and correction tool displays 'pop-up' images of uncertain characters. >
Mental health , women and social change : a progressive institutional profile from 1931 to 2000

Introduction: Along the 20 century, women underwent numerous changes and reached a more active participation in society. This study aims at describing the profile of the female patients admitted to a service of psychiatric hospitalization from May 1931 to December 2000. In addition, it relates the profile of psychiatric morbidity with the historical, social and demographic changes. It also offers a comparison between the epidemiological conditions throughout the historical series and the aspects regarding the environment and the sociocultural status of women from a Southern Brazilian state. Materials and methods: Descriptive, longitudinal, epidemiological study including historical data and based on data collected from the medical records and statistics of a hospital. The following variables were assessed: age, marital status, race, professional area, occupation, social class and psychiatric diagnosis, all standardized according to the International Classification of Diseases (ICD-9 and ICD-10) criteria. To identify the cases, all first hospitalizations of women were used. Results: Along 70 years, a total of 9,629 individuals/cases was obtained. There was a predominance of women in the age group between 26-45 years (47.9%), white (91.3%), belonging to the subproletariat (86.8%), not belonging to the economically active part of the population (96.7%) and with diagnosis of affective disorders (28.6%) and schizophrenic psychoses (25.2%). With regard to marital status, married women were prevalent (44.9%). However, in the 1990’s, single women represented 54.4%, whereas married women accounted for 39.7% of the patients. Conclusion: Significant changes were detected in the reasons for admitting women to psychiatric services over the past years. It is suggested that the variations might have been
Hassan identification agent Designing an intelligent control strategy for hybrid powertrains utilizing a fuzzy driving cycle

In this paper, a new idea for designing the control strategy for the energy management of hybrid powertrains based on the driving cycle type is presented. Here, every instance of an unknown driving cycle is considered to be similar to the reference driving cycles using similarity weights. To determine the control output in the unknown driving cycle, the weights are applied to a linear combination of the optimal control decisions generated in each of the reference driving cycles. The weights which are between zero and one are determined using a fuzzy driving cycle identification agent based on the comparison of preselected driving features. The simulation studies in seven different driving cycles show that, while all driving patterns in every driving cycle are considered for the generation of energy management by online implementation of the proposed intelligent control strategy, some driving patterns would be eliminated by using a non-fuzzy identification agent. This leads to a significant reduction in the fuel consumption of the hybrid powertrain utilized with the fuzzy identification agent in some driving cycles in comparison with those without the use of non-fuzzy driving cycle identification. In addition, in some driving cycles, the intelligent control strategy has a performance close to that for the offline optimized control strategy.
Blind Source Separation Using Hessian Evaluation

This paper focuses on the blind image separation using sparse representation for natural images. The statistics of the natural image is based on one particular statistical property called sparseness, which is closely related to the super-gaussian distribution. Since natural images can have both gaussian and non gaussian distribution, the original infomax algorithm cannot be directly used for source separation as it is better suited to estimate the super-gaussian sources. Hence, we explore the property of sparseness for image representation and show that it can be effectively used for blind source separation. The efficiency of the proposed method is compared with other sparse representation methods through Hessian evaluation.
Contribution to the Themed Section : ‘ Science in support of a nonlinear non-equilibrium world ’ Non-linearity in stock – recruitment relationships of Atlantic cod : insights from a multi-model approach

Camilla Sguotti *, Saskia A. Otto, Xochitl Cormon, Karl M. Werner, Ethan Deyle , George Sugihara, and Christian Möllmann Institute for Marine Ecosystem and Fisheries Science, Center for Earth System Research and Sustainability (CEN), University of Hamburg, Grosse Elbstrasse 133, 22767 Hamburg, Germany Thuenen Institute for Sea Fisheries, Herwigstraße 31, 27572 Bremerhaven, Germany Scripps Institution of Oceanography, UC San Diego, 9500 Gilman Drive #0202, La Jolla, CA 92093-0202, USA *Corresponding author: tel: þ49 40 42838 6648; fax: þ49 40 42838 6618; e-mail: camilla.sguotti@uni-hamburg.de.
Effect of groundwater changes on SG observations in Kyoto and Bandung

In order to estimate hydrological effect on gravity observations using Superconducting Gravimeters in Kyoto (TT-70#009) and Bandung (TT-70#008), we installed groundwater level-meters near the SG stations in Kyoto and Bandung, respectively, in 2000. At the Kyoto station, SG observation was often interrupted because of earthquake vibrations, and artificial noise caused by construction of new buildings in the University. Therefore, we cannot discuss in detail on relation between rainfall, groundwater level change and gravity residual in Kyoto at present stage. As the only significant evidence, the gravity residual at the Kyoto station changed about 9 μGal after heavy rainfalls of 210mm in total during the period of September 11-13, 2000. At that time, the groundwater level showed 2m upheavals at a well about 1.5km away from the SG station. At the Bandung station, time keeping of the SG observation system has not been so good, because the GPS receiver was often broken by the thunderbolt. After correcting time lags, we estimated hydrological effect on SG observation. As a result, gravity residual is closely correlated with groundwater change: 1m upheaval of groundwater level causes 4.2-4. 4μGal increase in gravity residual with the time lag of about 13-20 days.
The Great East Japan Earthquake and Stock Prices

The Great East Japan Earthquake of March 11, 2011, which led to a massive tsunami and the nuclear accident at Fukushima, moved Japanese authorities to close most of the country's nuclear reactors for inspection (only 2 of 54 total currently are working), as well as to reassess its national energy policy. This article investigates the volatility of stock prices before and after the disaster. The evolution of stock prices of electric utility companies differs greatly, compared with those of firms in other industries. We thank the two referees for their useful comments and help to improve this paper. We also thank Denis Pelletier for providing his Matlab source codes. Citation: Jacques Jaussaud and Sophie Nivoix and Serge Rey, (2015) ''The Great East Japan Earthquake and Stock Prices'', Economics Bulletin, Volume 35, Issue 2, pages 1237-1261 Contact: Jacques Jaussaud jacques.jaussaud@univ-pau.fr, Sophie Nivoix sophie.nivoix@univ-poitiers.fr, Serge Rey serge.rey@univpau.fr. Submitted: December 21, 2013. Published: June 01, 2015.
Pre-selection based reduced complexity MLMUD for DS-CDMA systems

The aim of this paper is to investigate the use of pre-selection for maximum likelihood multiuser detector (MLMUD) based CDMA receivers with the aim of reducing complexity while maintaining virtually no loss in BER performance. The performance of such receivers in AWGN and multipath channels is investigated on the basis of both complexity and BER performance. A comparison between three different forms of such receivers is also presented and the best compromise is suggested.
A CURRENT-BASED MOSFET MODEL

This tutorial describes a current-based MOSFET model, which consists of simple, continuous, and accurate single-piece expressions, valid not only in strong and weak inversion but also in moderate inversion. This MOSFET model has fundamental properties, such as charge conservation and the source-drain intrinsic symmetry. Only a small set of parameters is required to describe our MOSFET model. The accuracy and scalability of the model are certified by the measurements of the transconductance-to-current ratio for different technologies, dimensions and gate voltages. The design of a common-source amplifier illustrates the application of the current-based MOSFET model.