Miracle-dz/UniFAR-FTUs huggingface dataset:
THE SEARCH FOR IDENTITY TO BUILD LEGITIMACY

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. University Technology Transfer offices : the search for identity to build legimacy Conor O’Kane, Vincent Mangematin, Will Geoghegan, Ciara Fitzgerald
Network Based Cooperative Deep Learning Methodology for Minimal Latency in IoT and Mobile Video Transmission Environments

Due to the significant burden of deep learning computation, it is well known that the AI technologies are generally hard to be embedded to the edge devices such as IoT (Internet of Things) and mobile devices. In order to alleviate the computational burden imposed to a single device, we propose NCDL (Network based Cooperative Deep Learning) methodology in wireless IoT/Mobile Video Transmission Environments. In particular, the research is more focused on the cooperative visual recognition tasks to guarantee the performances such as accuracy and speed, while to minimize the latency and energy consumption of each device. By splitting the visual recognition task into small jobs fitted to each APN (Assisting Processing Node), the APN performs the allocated jobs and send back the result to the CPN (Coordination Processing Node). In addition, the optimal distribution algorithm of the visual recognition task is designed by the factors of the number of assisting nodes and the traffic activity based on numerical system analysis. In experiment, it was shown that the NCDL methodology can achieve the significant latency reduction effect.
Modeling of OpenFlow based software defined networks using Mininet

Software-defined networking (SDN) has become one of the most important architectures for the management of largescale complex networks, which may require re-policing or reconfigurations from time to time. By decoupling the control plane from data plane, SDN achieves easy repolicing. Hence, the network switches or routers forward packets simply by following the flow table rules which are set by the control plane. OpenFlow is the most popular SDN protocol or standard and has a set of design specifications. SDN or OpenFlow is a relatively new area, and it has attracted both academia and industry. This research work uses a network emulation tool called ‘Mininet’, for the implementation of SDN using OpenFlow. This tool allows to create the virtual switches, hosts, controllers and links. Using all these components, a network of the desired topology and scale can be created. The focus of this research is to update the labs created for the coursework in Electrical and Computer Engineering department. The tools used in the labs are outdated and are required to be changed, tested and presented. In addition, new labs with new concepts have also been added.
Verification of Precipitation Forecasts: A Survey of Methodology Part I: General Framework and Verification of Continuous Variables

Precipitation forecasts, whether they are expressed in the form of amounts over a specific period of time, or as instantaneous rates, are difficult to verify because the distribution of precipitation is highly variable in space and time. Variations occur on all scales, but there is usually a significant contribution to the overall variability from smaller scale components. Forecasts and observations may be expressed with different implicit resolutions, which presents problems for the matching of forecasts to the verifying observations.
The early development of Ecosim as a predictive multi-species fisheries management tool

Ecosim is a recent addition to the family of surplus production fisheries models, and its multi-species nature raises the prospect of Large Marine Ecosystem (LME) management on the basis of predator/prey relationships. In particular, Ecosim appears to offer the promise of improved prediction of predator manipulations and their effects on exploited stocks, including the effects of removing a top predator from an ecosystem. The development of Ecosim represents a considerable addition of the theory of predator/prey relationships in LME ecology; however, at present, it is an untested model in the management arena. In particular, the sensitivity of Ecosim to assumptions about energy dissipation, respiration, and top-down vs. bottom-up control may lead to models which predict the unrealistic sustainability of dangerously high fishing levels. This is not a problem with the model theory but its application: at present, little substantive work has been done to bring the statistical calibration of Ecosim parameters to the level of other fisheries models. As an example, a preliminary examination of Ecosim’s sensitivities to assumptions about animal energetics is presented here. Currently, Ecosim’s primary role in ecosystem management is in exploratory analysis and developing the precautionary principle of ecosystem manipulations, and as such it shall continue to play a valuable role in increasing the understanding of ecosystem interrelations. However, in its current state of development, its results should not be used as a predictor for establishing large scale predator/prey manipulations as fisheries policy.
Practique Clinique et Investigation

Department of Oral Medicine and Radiology, Saraswati-Dhanwantari Dental College and Hospital and Post-Graduate Research Institute, Parbhani, Maharashtra, India Correspondence: Abhishek Singh Nayyar, Department of Oral Medicine and Radiology, Saraswati-Dhanwantari Dental College and Hospital and Post-Graduate Research Institute, Parbhani, Maharashtra, India, Tel: +91-9850904067; E-mail: singhabhishekndls@gmail.com
X Corporate Governance : Convergence v . s Divergence

Recent scandals have highlighted the importance of corporate governance. There are various corporate governance models worldwide. Popular models are Anglo-Saxon modal, Continental modal and Islamic model witch are discussed in this study. Moreover, Major challenge facing corporate governance globally is convergence of corporate governance. Also, this study discusses both drivers and impediments to convergence. Considerable differences exist across countries in the corporate governance mechanisms especially, among western and Islamic countries. Also, there are differences among western countries. the environmental characteristics create differences in corporate governance across countries and corporate governance changes are responses to environmental characteristics changes. These environmental factors impede to convergence and make divergence. They include religion, culture, path dependence and complementarities, resistance, view of the firm, financers and ownership patterns, Economic Development and type of business entities, and lack of consensus. In contrast, Integration of markets, institutional pressures and convergence of accounting standards are drivers of convergence.
OECD Education Working Papers No . 49 The Impact of the 1999 Education Reform in Poland OECD

3 RÉSUMÉ . 3 THE IMPACT OF THE 1999 EDUCATION REFORM IN POLAND . 5 Introduction . 5 Reform of 1998-1999 . 7 Relative increase in scores . 11 Hypotheses for explaining change over time . 12 Empirical methods and data . 13 Estimates of score change for students in different tracks . 14 Decompose change over time . 17 Results . 18 Estimates of score change for students in different tracks . 20 Additional analyses . 23 Analysis of PISA 2006 “national option” samples . 23 Decomposition results . 25 Conclusions . 27 REFERENCES . 28
Magnitude and Frequency relations : are there geological 2 constraints to the rockfall size ? 3 4 5

There exists a transition between rockfalls, large rock mass failures and rock avalanches. The 11 magnitude and frequency relations (M/F) of the slope failure are increasingly used to assess the hazard 12 level. The management of the rockfall risk requires the knowledge of the frequency of the events but 13 also defining the worst case scenario, which is the one associated to the maximum expected (credible) 14 rockfall event. 15 The analysis of the volume distribution of the historical rockfall events in the slopes of the Solà 16 d’Andorra during the last 50 years, shows that they can be fitted to a power law. We argue that the 17 extrapolation of the F-M relations far beyond the historical data is not appropriate in this case. Neither 18 geomorphological evidences of past events nor the size of the potentially unstable rock masses identified 19 in the slope support the occurrence of the large rockfall/rock avalanche volumes predicted by the power 20 law. We have observed that the stability of the slope at the Solà is controlled by the presence of two sets 21 of unfavorably dipping joints (F3, F5) that act as basal sliding planes of the detachable rock masses. The 22 area of the basal sliding planes outcropping at the rockfall scars were measured with a Terrestrial Laser 23 Scanner. The distribution of the areas of the basal planes may be also fitted to a power law that shows a 24 truncation for values bigger than 50 m and a maximum exposed surface of 200 m. The analysis of the 25 geological structure of the rock mass at the Solà d’Andorra make us conclude that the size of the failures 26 is controlled by the fracture pattern and that the maximum size of the failure is constrained. Two sets 27 of steeply dipping faults (F1 and F7) interrupt the other joint sets and prevent the formation of continuous 28 failure surfaces (F3 and F5). We conclude that due to the structural control, large slope failures in 29 Andorra are not randomly distributed thus confirming the findings in other mountain ranges. 30 31 32
The modeling of phase diagrams and premartensitic effects in Heusler NiMnGa alloy by Monte Carlo method

In this work the coupled magnetostructural and premartensitic phase transitions in Heusler Ni-Mn-Ga alloy have been modeled by Monte Carlo method using Ising and Blume-Emery-Griffiths models. The phase diagrams in coordinates (Temperature – Magnetoelastic constant) were obtained. For the first time it is shown that the magnetoelastic interaction account in austenitic and martensitic phases allows to describe the coupled magnetostructural phase transition in Ni-Mn-Ga alloys. The area of the premartensitic phase transition in the temperature – magnetoelastic constant diagram has been found. PACS: 75.50. -y, 75.10. -b, 75.30. Sg;
ANovel Severity Index of Heart Disease from Beat-wise Analysis of ECG Using Fuzzy Logic for Smart-Health

Continuous monitoring of Electrocardiogram (ECG) sensor signals using smart-health devices can significantly improve the ability and efficacy of clinicians to diagnose and monitor heart disease. Monitoring Premature Ventricular Contraction (PVC) beat in an ECG signal can help individuals in the early detection of heart disease. This paper presents a Simulinko model-based approach of using fuzzy logic for accurate detection of PVC beats in ECG signals. Clinical diagnostic criteria were used to develop the ECG fuzzy rule set that classified each ECG beat into the two beat-groups: Normal and PVC. A severity index of the PVC was also formulated. The novel severity index could help in quantifying the percentage of PVC beats into groups that can be useful for disease diagnosis and progression monitoring. The metric correlates well to ECG QRS interval feature which is clinically known to associate with patients’ heart conditions. The model was tested using ECG signals from the MIT-BIH database (Physionet). The accuracy of the proposed model is 96.6%. The sensitivity and specificity of the model are 95.6% and 96.8%, respectively. Our proposed model is computationally efficient, clinical-based, intuitive, can be easily ported to smart-health devices, and will be able to provide feedback in real-time.
GENOME SIZE, TRACHEID VOLUME, AND ENVIRONMENTAL FACTORS IN THE GENUS PINUS

Abstract. --Positive relationships have been reported between genome size and cell volume both in prokaryotes and eukaryotes. In six North American Pinus species, there appears to be a direct relationship between genome size and measured tracheid volume in greenhouse-grown seedlings. However, habitat precipitation seems to affect tracheid volume of trees grown in the field. Using genome size and habitat precipitation data of six Pinus species, tracheid volume in field-grown trees was estimated quantitatively. A theory is introduced for estimation of tracheid volume, and two terms, standard tracheid volume and tracheid volume change, are defined. Using an equation estimating tracheid volume derived from the six species, tracheid volume in field-grown trees was estimated in 15 North American Pinus species. Estimated tracheid volumes showed significant agreement with those calculated from tracheid dimensions obtained from the literature. Although this is a preliminary report, these results indicate that the theory might be effective for estimation of tracheid volume in North American Pinus species.
Abercrombie & Fitch: Values, Culture and Business Ethics in Fashion

Purpose – The aim of this article is to discuss some ethical issues in the fashion industry and start a debate about business ethics from a stakeholder perspective. It analyzes the implications of fashion companies for employees, with policies and practices, and for customers, with the messages and the lifestyles they communicate, especially when targeting adolescents. It also aims to highlight how company leaders can influence the corporate culture and values. The paper ends with an open discussion of the impact this is having on society and how it can affect a company’s sustainability and performance. Design/Methodology/Approach – The methodology used in this paper is the case study. We have chosen the fashion company Abercrombie & Fitch (A&F) as it offers a fascinating example of how businesses – in the fashion industry overall – can promote or destroy ethical behavior through their cultural values and lifestyle as well as through management practices.
ENNS: The French Nutrition & Health Survey. Exposure of the French population to lead

The French Nutrition & Health Survey (ENNS) was carried out by the French institute for public health surveillance (InVS) in 2006-2007. ENNS was launched in the framework of the National Program on Nutrition & Health implemented in France in 2001. The main objectives of ENNS were to describe food consumption, nutritional status, and physical activity in the general population living in France (adults and children) and to study nutritional and environmental biomarkers.
Comparisons of treatment planning with photons and protons

ESTRO 35 2016 _____________________________________________________________________________________________________ small fields and challenges in multicentre comparison of gamma analysis for complex dose distributions. Overall, the IAEA supports developments of various audit tools for radiotherapy with the audit scope corresponding to the evolving complexity of radiotherapy technology, in order to verify radiotherapy physics practices and improve the quality of treatments delivered to cancer patients in participating countries.
HOW THE SOCIAL CAPITAL EFFECTS KNOWLEDGE SHARING WITHIN A SOCIAL NETWORK -- A RESEARCH BASED ON ZHIHU

Based on an integrated theoretical perspective of knowledge sharing behavior, social capital and social network, this paper proposed a model illustrating that the knowledge sharing effectiveness in a social network is influenced by three dimensions of social capital. And then an empirical research is conducted among the users of Zhihu which is a social network specialized in knowledge sharing based in China. Based on 354 valid questionnaires obtained through data capture approach within Zhihu, the social network analysis technology and regression analysis are jointly employed to explore the relationship between social capital and knowledge sharing effectiveness. The results show: the quality of knowledge sharing is positively related to social capital structure, whereas the quantity of knowledge sharing hardly; the quality of knowledge sharing is positively related to cog-nition; trust, community recognition significantly affect the quality of knowledge sharing, while mutual benefit has no significant influence on it; reciprocity, community recognition and knowledge sharing is positively correlated, but trust has no significant effect on knowledge sharing
Wide Band Human Body Communication Technology for Wearable and Implantable Robot Control

SUMMARY This paper reviews our developed wide band human body communication technology for wearable and implantable robot control. The wearable and implantable robots are assumed to be controlled by myoelectric signals and operate according to the operator’s will. The signal transmission for wearable robot control was shown to be mainly realized by electrostatic coupling, and the signal transmission for implantable robot control was shown to be mainly determined by the lossy frequency-dependent dielectric properties of human body. Based on these basic observations on signal transmission mechanisms, we developed a 10-50 MHz band impulse radio transceiver based on human body communication technology, and applied it for wireless control of a robotic hand using myoelectric signals in the (cid:12)rst time. In addition, we also examined its applicability to implantable robot control, and evaluated the communication performance of implant signal transmission using a living swine. These experimental results showed that the proposed technology is well suited for detection and transmission of biological signals for wearable and implantable robot control.
Strategic Consumption-Portfolio Rules and Precautionary Savings with Informational Frictions

This paper provides a tractable continuous-time CARA-Gaussian framework to explore how the interactions of risk aversion and induced uncertainty due to informational frictions determine strategic consumption-portfolio rules, precautionary savings, and consumption dynamics in the presence of uninsurable labor income. Specifically, after solving the model explicitly, we explore the relative importance of the two types of induced uncertainty: (i) model uncertainty due to robustness and (ii) state uncertainty due to limited information-processing capacity as well as risk aversion in determining asset allocation, precautionary savings, and consumption dynamics. Finally, we discuss how the separation between risk aversion and intertemporal substitution affects strategic asset allocation and precautionary savings. JEL Classification Numbers: C61, D81, E21.
User-Selected Object Data Augmentation for 6DOF CNN Localization

Automatic content placement is desired for augmented reality (AR) applications. Conventional approaches, such as marker deposition or three-dimensional modeling of all user-selected objects, are time-intensive. We herein propose a framework that is cost-efficient when the same content is superposed on the same multiple objects. The framework consists of steps: 1) scanning a user-selected object with an RGB-D SLAM, 2) cropping the object from the scanned images, and 3) training a convolutional neural network (CNN) on the cropped images and various backgrounds. Our CNN outputs the absolute position and tilt of a device, which assumes content placement in an AR application. An important aspect here is data augmentation. The framework creates images of a user-selected object taken from multiple viewpoints, without significant manual effort. The effectiveness of the proposed framework is also demonstrated.
The neonatal immune system: modulation by regulatory T-cells and CTLA-4 (CD152)1)

Abstract The dysregulation of CTLA-4 (CD152), a glycoprotein expressed on the surface of lymphocytes, may lead to chronic inflammation. Based on the recent scientific findings, it has become clear that CTLA-4 inhibits the effector function and, thus, shuts down the effector phase of T-lymphocytes. Interestingly, the CTLA-4-expressing cells become resistant to apoptosis (programmed cell death) and increasingly migrate to the lymph nodes and tissues. Studies have shown that regulatory T cells (Tregs), which switch off unwanted immune responses can inhibit in vivo only if they express an intact CTLA-4 gene. Moreover, it was confirmed that CTLA-4 is not only expressed on T-lymphocytes but also on B-lymphocytes. The mice with genetic inactivation of CTLA-4 show in B-lymphocytes an increased production of IgM antibodies after immunization. Interestingly, in particular, B- and T-lymphocytes from newborns and infants show a strongly increased CTLA-4 expression, suggesting a key immunoregulatory role in neonatal immune responses. Molecules such as CTLA-4, which regulate the differentiation of lymphocytes, could provide therapeutic targets during the early childhood to set the course for protection against autoimmunity and allergy.
A 0 . 012 mm 2 , 0 . 96-mW All-Digital Multiplying Delay-Locked Loop Based Frequency Synthesizer for GPS-L 4 band

This paper presents a low-power fully digital multiplying delay-locked loop (MDLL) based frequency synthesizer for GPS-L4 band. In the proposed MDLL, the supply noise sensitivity and RMS jitters are mitigated by implementing the core logic of frequency-operated digital low-dropout regulator (DLDO) in the main loop. The proposed MDLL in a 40 nm CMOS process exhibits an in-band phase noise of -107 dBc/Hz at 100 kHz offset with < 1ps of RMS jitter while consuming maximum power of 0.96 mW at nominal supply voltage of 1.0 V.
Human-Centered Machine Learning in a Social Interaction Assistant for Individuals with Visual Impairments

Over the last couple of decades, the increasing focus on accessibility has resulted in the design and development of several assistive technologies to aid people with visual impairments in their daily activities. Most of these devices have been centered on enhancing the interaction of a user who is blind or visually impaired with objects and environments, such as a computer monitor, personal digital assistant, cellphone, road traffic, or a grocery store. Although these efforts are very essential for the quality of life of these individuals, there is also a need (which has so far not been seriously considered) to enrich the interactions of individuals who are blind, with other individuals.
Effect of papermaking conditions on the ink absorption and overprint accuracy of paper

The ink-absorption capacity is an important factor for evaluating the printing quality of paper. In this study, the effects of different parameters of papermaking on the ink-absorption capacity of paper were investigated. The results showed that hardwood pulp exhibited better performance in increasing the absorptivity of paper compared with softwood pulp. When the content of hardwood pulp in paper was increased from 0% to 100%, the ink mark length decreased from 5.1 cm to 4.3 cm. Furthermore, a basis weight change from 100 g/m2 to 60 g/m2 increased the ink-absorption capacity, as revealed by a decrease of the ink mark length from 4.8 cm to 4.4 cm. Both sizing agent and beating degree affected the ink-absorption performance of the paper. For example, a shorter ink mark length of 5.1 cm was obtained at a low beating degree of 5000 r compared with that of 5.1 cm at 15000 r.