Miracle-dz/UniFAR-FTUs huggingface dataset:
Space, culture and economy—a question of practice

This article addresses the current debate within geography and other circles studying urban and regional development of the relationship between culture and economy. It revolves around two arguments. First, that the relationship should be seen not only as a question of epochal change, of de‐differentiation and culturalisation of the economy; it should be considered as an analytical rather than a historical question. Second, it is argued that a theoretical articulation may be gainfully employed starting from the level of social ontology‐particularly an ontology of practice. These arguments are developed starting from a critical discussion of two dominant bodies of thought about the relationship, following which, a demonstration of the inseparability of practice and meaning is used to conduct a theoretical re‐articulation of culture and economy. Finally, the spatiality of the culture economy relation is considered, displacing the emphasis from connectivity in bounded regions towards joint involvement in the production of space on different scales.
Mixotrophy in the dinoflagellate Prorocentrum minimum

Prol-ocentrum minimum (formerly also known as P. mariae-lebouriae) is a common bloomforming, photosynthetic dinoflagellate in Chesapeake Bay, USA. It is also capable of ingesting other cells. In Chesapeake Bay, P. minimum usually CO-occurs with cryptophytes. Ingested cryptophyte material is observable in the dinoflagellate under an epifluorescent microscope as orange-fluorescent inclusions (OFI) During Aprll and May, the frequency of OF1 was 510% In both surface and pycnocline assemblages. In summer, up to 50'% of the P. m~njmum contained OFI. The frequency of OF1 was positively correlated with cryptophyte abundance, but OF1 were not frequent in all populations of P minimum when cryptophyte densities were high. On-deck experimental incubations were done to determine the conditions that influence feeding. Light level and inorganic nutrient availability over the previous 24 h affect feeding. Incidence of feeding is lower when populations are maintained In the dark for 24 h than on a natural 1ight:dark cycle. Addition of n~trate and phosphate together can inhibit feeding. Ingestion has a die1 pattern, with frequency of OF1 highest in the afternoon and evening and lowest in the morning. Feeding is influenced by a complex of factors, but the spatial-temporal pattern of ingestion and the experiments both suggest that feeding is primarily a mechanism for obtaining l im~hng inorganic nutrients rather than a mechanism for supplementing carbon nutrition d u r ~ n g light limitation. Ingestion of other protists, including competitors for light and nutrients, may be a n important strategy which allows bloom-forming dinoflagellates to dominate plankton assemblages for extended periods and dunng changing nutrient regimes.
A high-precision time-to-digital converter using a two-level conversion scheme

This paper describes a design of time-to-digital converter (TDC) utilising a two-level conversion scheme. The first level is accomplished by a multi-phase sampling technique with the aid of delay-locked loop (DLL). Then the input signal and its adjacent sampling clock are manipulated and sent into a vernier delay line (VDL) sampling circuit. The proposed TDC can provide precise resolution with less hardware comparing to one level VDL sampling circuit possessing the same dynamic range. A new architecture of dual DLL circuit is also introduced to stabilize delay control against process and ambient variation. The test chip is designed and fabricated in 0.35/spl mu/m digital process. With an input reference clock at 160MHz, the TDC achieves 24ps resolution. The DNL is less than /spl plusmn/0.55LSB and INL within +1LSB/spl sim/-1.5LSB.
Sliding Mode Control for Slosh-Free Motion Using a Nonlinear Sliding Surface

A new nonlinear switching surface is proposed for the design of a sliding mode controller for a class of mismatched uncertain systems. A control system for slosh-free motion of a partially filled liquid container is sought. This is representative of a broader class of systems to which the proposed methodology is applicable. A fundamental mode of lateral slosh is considered. A simple pendulum model is used to represent the lateral slosh. Given the difficulty of measuring the slosh states directly, a sliding mode observer is used for implementation of the resulting sliding mode control. The effectiveness of the theoretical developments is demonstrated via both simulation and experimental results.
Incentives, Competencies and Knowledge: Evidence From France and Theoretical Integration

This paper examines the knowledge creation, sharing and transferring process within manufacturing rms in an innovation perspective. First, using French data set, we aim at studying the complementarities between human resource management and knowledge management practices (henceforth, HRM and KM), and their impact on innovation. Organizational diversity of the rms is showed. Three clusters or bundles of organizational practices are identi ed as HRM and KM practices systems. They characterized respectively (i) traditional rms at the work organization concerned; (ii) rms using incentives personnel practices and (iii) learning rms using, added to incentives, knowledge management practices. They correspond to theoretical organizational models including modern organizational forms, based on incentives to develop competencies and knowlegde, without forgetting inspired tayloring rms. Empirical results permit to conclude that HRM and KM practices bundles have signi cant and positive impact on innovation performance, while marginal changes in individual practices have little e¤ect. Second, in order to con rm these complementarities, we focus on four speci c practices mainly used by rms: team, incentives, training and knowledge management. We use a new testing procedure, based on the supermodularity concept, for complementarity and substitutability in case there are multiple organizational practices that a¤ect innovative performance. This procedure is based on multiple inequality restriction. Our results suggest that rms use some practices in a joint way and systematically, and account for existing synergies. The result supports the notion that knowledge management is more e¤ective if accompanied by team organization and associated incentives. This imply to construct a more comprehensive integration between agency and incentives theories and theories based on competencies and knowledge. Keywords: Knowledge management, Human resource practices, Innovation, Complementarity, Supermodularity. JEL Classi cation: C21, D21, O32. ERMES FRE 2887 CNRS Universite Pantheon-Assas Paris II 12, place du Pantheon 75230 PARIS Cedex 05 Tel. : +33 (0)1 44 41 89 68 Fax. : +33 (0)1 40 51 81 30 Email: galia@u-paris2.fr
ISOLATION, CHARACTERIZATION AND STRESS RESPONSE OF DENTAL PLAQUE FORMING BACTERIA PROJECT SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIEMENT OF MASTER OF SCIENCE IN LIFE SCIENCE By

The current work deals with the studies of isolation, characterization and stress response of dental plaque forming bacteria. The most important constituent of biofilm other than bacterial cells is the Extracellular Polymeric Slime matrix (EPS) which is secreted by the bacterial cells themselves. This EPS matrix determines the physical properties of biofilms like attachment, mechanical strength, and antibiotic resistance. In this study, attempts were made to study the stress response of bacteria isolated and their chemotactic response. Efforts were made to characterize the EPS matrix by chemical as well as spectroscopic studies. For stress response studies, the temperature range considered didn’t show much variation whereas the biofilm formation reduced with alkaline pH. By biochemical identification methods, the bacterial strains isolated were characterized to be Staphylococcus aureus, Staphylococcus salivarius, Streptococcus mitis, Streptococcus oralis, Bacillus subtilis. It was also observed that cell attachment was maximum when glucose was used as the sole carbon source. Test for biofilm formation in presence of metal salts of Iron and Zinc showed moderate to high inhibition of film formation. The chemotaxis studies carried out in present work indicates the poor response of two strains towards fructose and sucrose. The EPS characterization results showed that the EPS matrix was made of different biomolecules such as carbohydrate, protein, lipids and nucleic acids. The formation of biofilm was confirmed by the SEM micrographs taken.
Site U1451

C. France-Lanord, V. Spiess, A. Klaus, R.R. Adhikari, S.K. Adhikari, J.-J. Bahk, A.T. Baxter, J.W. Cruz, S.K. Das, P. Dekens, W. Duleba, L.R. Fox, A. Galy, V. Galy, J. Ge, J.D. Gleason, B.R. Gyawali, P. Huyghe, G. Jia, H. Lantzsch, M.C. Manoj, Y. Martos Martin, L. Meynadier, Y.M. R. Najman, A. Nakajima, C. Ponton, B.T. Reilly, K.G. Rogers, J.F. Savian, T. Schwenk, P.A. Selkin, M.E. Weber, T. Williams, and K. Yoshida2
Contributions to optimal and reactive vision-based trajectory generation for a quadrotor UAV. (Contributions à la génération de trajectoires optimales et réactives basées vision pour un quadrirotor UAV)

Vision constitutes one of the most important cues in robotics. A single monocular camera can provide rich visual information at a reasonable rate that can be used as a feedback for control, state estimation of mobile robots or safe navigation in unknown environments for instance. However, it is necessary to satisfy particular visual constraints on the image such as visibility and occlusion constraints during motion to keep some visual targets visible. Quadrotors are endowed with very reactive motion capabilities due to their compact structure and motor configuration. Moreover, vision from a (fixed) on-board camera will suffer from rotation motions due to the system underactuation. In this thesis, we want to benefit from the system aggressiveness to perform several vision-based navigation tasks. We assume state estimation relies solely on sensor fusion of an onboard inertial measurement unit (IMU) and a monocular camera that provides reliable pose estimates. Therefore, visual constraints are challenging and critical in this context. In this thesis we exploit numerical optimization to design feasible trajectories satisfying several state, input and visual nonlinear constraints. With the help of differential flatness and B-spline parametrization we will propose an efficient replanning strategy inspired form Model Predictive Control to generate smooth and agile trajectories. Finally, we propose a minimum-time planning algorithm that handles intermittent visibility losses in order to navigate in larger cluttered environments. This contribution brings state estimation uncertainty at the planning stage to produce robust and safe trajectories. All the theoretical developments discussed in this thesis are corroborated by simulations and experiments run by using a quadrotor UAV. The reported results show the effectiveness of proposed techniques.
ForChaos: Real Time Application DDoS Detection Using Forecasting and Chaos Theory in Smart Home IoT Network

Recently, D/DoS attacks have been launched by zombie IoT devices in smart home networks. They pose a great threat to network systems with Application Layer DDoS attacks being especially hard to detect due to their stealth and seemingly legitimacy. In this paper, we propose ForChaos, a lightweight detection algorithm for IoT devices, which is based on forecasting and chaos theory to identify flooding and DDoS attacks. For every time-series behaviour collected, a forecasting-technique prediction is generated, based on a number of features, and the error between the two values is calculated. In order to assess the error of the forecasting from the actual value, the Lyapunov exponent is used to detect potential malicious behaviour. In NS-3 we evaluate our detection algorithm through a series of experiments in flooding and slow-rate DDoS attacks. The results are presented and discussed in detail and compared with related studies, demonstrating its effectiveness and robustness.
MDL model selection using the ML plug-in code

We analyse the behaviour of the ML plug-in code, also known as the Rissanen-Dawid prequential ML code, relative to single parameter exponential families M. If the data are i.i. d. according to an (essentially) arbitrary P, then the redundancy grows at 1/2c log n. We find that, in contrast to other important universal codes such as the 2-part MDL, Shtarkov and Bayesian codes where c = 1, here c equals the ratio between the variance of P and the variance of the element of M that is closest to P in KL-divergence. We show how this behaviour can impair model selection performance in a simple setting in which we select between the Poisson and geometric models
Relaying protocols for two co-located users

We consider a wireless network where a remote source sends information to one of two co-located users, and where the second user can serve as a relay. The source's transmission is subjected to quasi-static flat Rayleigh fading, while the transmission of the relay experiences a fixed amplitude gain with a uniform random phase, capturing its close proximity to the destination. All communications share the same time/bandwidth resources, and channel state information is known only to the receivers. We propose relaying protocols which are based on Wyner-Ziv quantization at the relay, and demonstrate their high efficiency (in terms of expected throughput) with respect to previously reported relaying schemes based on amplify-and-forward and decode-and-forward. A salient feature of these protocols is that the relay need not know the actual fading gain experienced by the destination in order to perform the quantization. We also consider a hybrid amplify-quantize-decode and-forward scheme which exhibits superior performance
On the throughput, capacity and stability regions of random multiple access over standard multi-packet reception channels

This paper studies finite-terminal random multiple access over a standard multi-packet reception (MPR) channel. In the first part of the paper, we show that if the MPR channel is standard, the throughput region of random multiple access is co-ordinate convex. We then study the information capacity region of multiple access without code synchronization and feedback. We show that the asymptotic capacity region is identical to the throughput region. In the second part of the paper, we study the stability region of ALOHA multiple access. For a class of packet arrival distributions, we show that the stationary distribution of the queues possesses the positive and strong positive correlation properties; and this consequently gives an outer bound to the stability region. We also show that if a conjectured "sensitivity monotonicity" property can be shown for the stationary distribution of the queues, then the equivalence between the closure of the stability region and the throughput region follows as a direct consequence, irrespective of the packet arrival distributions
Distant but Fair: Intra-Team Justice Climate and Performance in Dispersed Teams

Abstract In an attempt to take advantage of distributed knowledge, organizations are increasingly relying on dispersed teams--teams of individuals who primarily utilize information and communication technology (ICT) to collaborate to achieve a shared objective. Team context has often been recognized as an important factor in affecting performance in dispersed team settings. Recent research has called for the consideration of intra-team justice climate in dispersed teams; yet, how it shapes performance for teams at different degrees of dispersion remains unresolved. Drawing on and integrating extant justice climate and Information Systems (IS) literature on team dispersion, we develop a model to better understand the precise nature of the role played by intra-team procedural justice climate in the relationship between team member dispersion and team performance. Responses from 468 team members and supervisors belonging to 101 work teams were used to test the research model. We found that team dispersion and procedural justice climate affect team performance, and that procedural justice alleviates the negative effect of dispersion on performance, indicating that intra-team procedural justice climate can be a lever for mitigating the challenges posed by ICT-based interaction among members. These findings make important contributions to the extant IS literature on dispersed teams by outlining how organizations may mitigate some of the challenges of dispersion and improve team performance by creating an intra-team environment based upon fairness.
Cognitive management of self organized radio networks of fifth generation. (Gestion cognitive des réseaux radio auto-organisant de cinquième génération)

The pressure on operators to improve the network management efficiency is constantly growing for many reasons: the user traffic that is increasing very fast, higher end users expectations, emerging services with very specific requirements. Self-Organizing Networks (SON) concept was introduced by the 3rd Generation Partnership Project as a promising solution to simplify the operation and management of complex networks. Many SON modules are already being deployed in today’s networks. Such networks are known as SON enabled networks, and they have proved to be useful in reducing the complexity of network management. However, SON enabled networks are still far from realizing a network that is autonomous and self-managed as a whole. In fact, the behavior of the SON functions depends on the parameters of their algorithm, as well as on the network environment where it is deployed. Besides, SON objectives and actions might be conflicting with each other, leading to incompatible parameter tuning in the network. Each SON function hence still needs to be itself manually configured, depending on the network environment and the objectives of the operator. In this thesis, we propose an approach for an integrated SON management system through a Cognitive Policy Based SON Management (C-PBSM) approach, based on Reinforcement Learning (RL). The C-PBSM translates autonomously high level operator objectives, formulated as target Key Performance Indicators (KPIs), into configurations of the SON functions. Furthermore, through its cognitive capabilities, the C-PBSM is able to build its knowledge by interacting with the real network. It is also capable of adapting with the environment changes. We investigate different RL approaches, we analyze the convergence time and the scalability and propose adapted solutions. We tackle the problem of non-stationarity in the network, notably the traffic variations, as well as the different contexts present in a network. We propose as well an approach for transfer learning and collaborative learning. Practical aspects of deploying RL agents in real networks are also investigated under Software Defined Network (SDN) architecture.
Extracting Clinical Event Timelines: Temporal Information Extraction and Coreference Resolution in Electronic Health Records. (Création de Chronologies d'Événements Médicaux: Extraction d'Informations Temporelles et Résolution de la Coréférence dans les Dossiers Patients Électroniques)

Important information for public health is contained within Electronic Health Records (EHRs). The vast majority of clinical data available in these records takes the form of narratives written in natural language. Although free text is convenient to describe complex medical concepts, it is difficult to use for medical decision support, clinical research or statistical analysis.Among all the clinical aspects that are of interest in these records, the patient timeline is one of the most important. Being able to retrieve clinical timelines would allow for a better understanding of some clinical phenomena such as disease progression and longitudinal effects of medications. It would also allow to improve medical question answering and clinical outcome prediction systems. Accessing the clinical timeline is needed to evaluate the quality of the healthcare pathway by comparing it to clinical guidelines, and to highlight the steps of the pathway where specific care should be provided.In this thesis, we focus on building such timelines by addressing two related natural language processing topics which are temporal information extraction and clinical event coreference resolution.Our main contributions include a generic feature-based approach for temporal relation extraction that can be applied to documents written in English and in French. We devise a neural based approach for temporal information extraction which includes categorical features.We present a neural entity-based approach for coreference resolution in clinical narratives. We perform an empirical study to evaluate how categorical features and neural network components such as attention mechanisms and token character-level representations influence the performance of our coreference resolution approach.
Development and Application of Sports Video Analysis Platform in Sports Training

The sports video analysis system in sports training can improve the ability of motion analysis and improve the training quality of sports training video playback. In view of the shortcomings of the current motion video analysis system, a new sports training video analysis system is proposed. The overall design of the video analysis system of the sports training system is analyzed, and the detailed design of the system is analyzed. Finally, the performance of the system is tested. The results show that the system can accurately analyze the video and image information of sports training. The accuracy of the key frame extraction is high and the recall rate is high. It can be used to guide the training of sports training.
Achieving the DMD tradeoff of the MIMO-ARQ channel

For the quasi-static, Rayleigh-fading MIMO channel with nt transmit and nr receive antennas, Zheng and Tse showed that there exists a fundamental tradeoff between diversity and multiplexing gains, referred to as the diversity-multiplexing gain (D-MG) tradeoff. Explicit constructions for D-MG optimal ST codes are now available. In a subsequent paper, El Gamal, Caire and Damen considered signaling across the quasi-static ST channel using an L-round ARQ protocol that assumes the presence of a noiseless feedback channel capable of conveying one bit of information (ACK or NACK) per use of the feedback channel. They showed that given a fixed number of ARQ rounds L, there is a tradeoff between diversity and multiplexing gains under which the optimum diversity gain of the ARQ channel transmitting R = r log(SNR) bits per channel use, is that of the quasi-static channel without feedback investigated by Zheng and Tse, transmitting at (1/L)th the information rate. This tradeoff, which now is a function of the number L of ARQ rounds, is termed the diversity-multiplexing gain-delay (DMD) tradeoff. In the current paper, a sufficient condition under which a ST code will achieve the DMD tradeoff is presented for the case nr ges nt. The cyclic-division-algebra-based constructions of DMG optimal ST codes by Elia et. al. are then modified to yield codes which meet this sufficient criterion and are thereby DMD-optimal. This modification requires that either nt|L or L|nt