Miracle-dz/UniFAR-FTUs huggingface dataset:
SPIRAL2 AT GANIL

The SPIRAL2 project has been under detailed design study since beginning of 2003. The aim of this facility is to produce rare ion beams, using a Uranium carbide target fission process, based on a fission rate of 10 to 10 fissions/s. The driver accelerator accelerates a 5 mA deuteron beam up to 20 MeV/u, impinging on a carbon converter to produce the neutrons necessary to the fission process. It has also to accelerate q/A=1/3 heavy ions, to energies between 0.75 and 14.5 MeV/A for different types of nuclear and non-nuclear physics experiments. The accelerator is based on a RFQ followed by an independently phased superconducting cavity linac with warm focusing sections. This paper presents the reference design chosen for the SPIRAL2 driver accelerator, and gives the design status of the different components: Sources, RFQ, Superconducting linac, RF Systems, Cryogenics, Mechanical layout.
Commande floue d́ecentralisée pour une classe de syst èmes interconnect́ es en ŕeseau

L’objectif de ce papier concerne la synthèse d’un algorithme de contrôle-commande pour une classe de systèmes continus de grande dimension dans le cas où les fonctions de mesures et de contrôle sont distribuées sur des organes de calcul pouvant être partagés avec d’autres applications et connectés sur un réseau de communication numérique. Dans un premier temps, le système nonlineaire de grande dimension est décrit par un modèle flou Takagi-Sugeno (TS). Ensuite, en utilisant une fonctionnelle de Lyapunov-Krasovskii floue, des conditions suffisantes de stabilité asymptotique du comportement du système commandé en réseau décentralisé (DNCS), sont développées et formulées en termes d’Inégalités Matricielles Linéaires (LMIs). Enfin, pour illustrer l’approche proposée, un exemple numérique et des résultats de simulation sont présentés.
IN VITRO ANTIOXIDANT AND ANTI-INFLAMMATORY ACTIVITY OF SILVER NANOPARTICLE SYNTHESIZED FROM Erythrina indica FLOWER EXTRACT

Nanotechnology is an important field of modern research dealing with synthesis, strategy and manipulation of particle’s structure ranging from approximately 1 to 100 nm in size (Prabhu et al., 2010). Nanotechnology is currently employed as a tool to explore the darkest avenues of medical sciences in several ways like imaging, sensing, targeted drug delivery and gene delivery systems and artificial implants. The new age drugs are nanoparticles of polymers, metals or ceramics, which can combat conditions like cancer and fight human pathogens like bacteria (Melgardt, 2008). Nowadays, a large number of noble metals like copper, zinc, titanium, magnesium, gold, alginate and silver have been used for the synthesis of nanoparticle but silver has acquired large attention due to its diverse applications (Arunachalam et al., 2012). In recent years, the stabilizing development of efficient green chemistry methods employing natural reducing, capping, and agents to prepare silver nanoparticles with desired morphology and ABSTRACT
Scaling Laws of Dense Multi-Antenna Cellular Networks

We study the scaling laws of the signal-to-interference-plus-noise ratio (SINR) and the area spectral efficiency (ASE) in multi-antenna cellular networks, where the number of antennas scales with the base station (BS) spatial density λ, under the assumption of independent and identically distributed (i.i.d.) channels. We start with the MISO case with Nt(λ) transmit antennas and a single receive antenna and prove that the average SINR scales as ${N_{t(\lambda ){/_\lambda }}}$ and the average ASE scales as $\lambda \log \left( {1 + {N_{t(\lambda ){/_\lambda }}}} \right)$. For the MIMO case with singlestream eigenbeamforming and Nr(λ) ≤Nt(λ) receive antennas, we prove that the scaling laws of the conditional SINR and ASE are agnostic to Nr(λ) and scale exactly the same as the MISO case. Hence, deploying multi-antenna BSs can help maintain nonzero per-user throughput and a corresponding linear increase in the ASE in dense cellular networks.
Europeana Creative. EDM Endpoint. Custom Views

The paper discusses the Europeana Creative project which aims to facilitate re-use of cultural heritage metadata and content by the creative industries. The paper focuses on the contribution of Ontotext to the project activities. The Europeana Data Model (EDM) is further discussed as a new proposal for structuring the data that Europeana will ingest, manage and publish. The advantages of using EDM instead of the current ESE metadata set are highlighted. Finally, Ontotext’s EDM Endpoint is presented, based on OWLIM semantic r epository and SPARQL query language. A user-friendly RDF view is presented in order to illustrate the possibilities of Forest - an extensible modular user interface framework for creating linked data and semantic web applications.
Spatial Distribution of Supply and the Role of Market Thickness: Theory and Evidence from Ridesharing

This paper uses both empirical and theoretical methods to answer salient questions about possible geographical distortion of supply from demand: (i) how to empirically infer whether some regions are "under-supplied" relative to others; (ii) howto identify mechanisms that lead to unequal access to supply across regions; and (iii) how to design policies that alleviate geographical supply inequities. If supply in a spatial market (such as rideshare) is geographically distorted from demand, it will lead to disproportionately low demand-fulfillment rates in some regions relative to other regions. However, empirically identifying such spatial distortions is challenging since unfulfilled demand is unobserved. To deal with this issue, we devise an approach, called relative outflows analysis, which has a simple implementation and minimal data requirements. Our method takes advantage of the overlooked fact that individuals do not migrate as often as they take rides, hence for every trip there is a "trip back. " Suppose, for example, that Lyft's "relative outflow" in Staten Island (i.e., the number Lyft rides exiting Staten Island divided by those entering it) is consistently around 0.6. Then we conclude that Lyft's supply is distorted away from Staten Island; because the same population that chooses Lyft over other options to enter the borough, is likely to choose other options over Lyft to exit. This conclusion becomes stronger if Uber's relative outflow in Staten Island is consistently close to 1.
Nutritional Intake and Chronicity Associated with the Old World Cutaneous Leishmaniasis: Role of Vitamin A

Background: Old world cutaneous leishmaniasis (CL) is known as a self-healing cutaneous parasitic infection. Host immunity has a fundamental role in the course of this infection. This study was designed to investigate the relationship between nutritional status and vitamin A intake with the clinical course of CL. Methods: Overall, 250 patients with CL attending a dermatology clinic in Imam Reza Hospital Mashhad, Iran, were enrolled from Apr 2011 to Aug 2012. For data gathering, a semi-quantitative 302-item food frequency questionnaire was utilized. They received routine treatment protocols for leishmaniasis and 1 year of follow-up Results: As for the 149 patients who completed the study, a deficiency of macro and micronutrients, particularly vitamin A, was significantly related to a chronic clinical disease course. Conclusion: Imbalanced or insufficient nutritional intake including vitamin A deficiency, may influence the clinical course of CL.
Processing, microstructure and mechanical properties of beta-type titanium porous structures made by additive manufacturing

I DECLARATION . II LIST OF ABBREVIATIONS . III TABLE OF CONTENT . V LIST OF FIGURES . VIII LIST OF TABLES . XIV LIST OF PUBLICATIONS . XV ACKNOWLEDGMENTS . XVII
IoT Based Environment Monitoring and Disease Prediction Using Geometric Progression

For the last few years, challenges of monitoring and control of distant environmental parameters accurately have emerged as a new field of research. The concept of the Internet of Things (IoT) is also emerging very fast where everything around us comes with internet connectivity for monitoring and control. Monitoring the environmental parameters and initiating a control action from the internet is also part of this concept. In our proposed work, we design an environment monitoring system, capable of monitoring and control of environmental parameters like temperature, pressure, and humidity. The modern approach to healthcare is to prevent the disease with early mediation rather than go for treatment after diagnosis. Traditionally, physicians or doctors use a risk calculator to predict the possibility of disease development. These calculators use Basic information such as demographics, medical conditions, life routines, and more to calculate the probability of developing a certain disease. In this approach, we are predicting disease outbreak according to the environmental condition.
Standby or Breakup? How Brands in China Respond When Celebrity Endorsers Get Involved in Scandals

Celebrity endorsement, a common strategy used in marketing and advertising is a double-edged sword for brands. The established association with celebrity endorsers can bring not only desirable potentials to brands but also crisis when endorsers get involved in scandals. Current literature on this type of crisis lacks focuses on Chinese culture context, analysis of response strategy, and empirical research design. To fill these gaps, this paper adopts case study and content analysis to investigate four influential scandals happened last year in China and the crisis management strategies of affected brands. Comments and reposts of nine Sina Weibo posts were collected for analysis. Five of them are the official responding posts of involved celebrities, while the other four are posts of affected brands. Findings support that in China social legitimacy violation and internal attribution of crisis responsibility will cause a more negative influence on the celebrity endorser’s reputation than legal legitimacy violation and external attribution of crisis responsibility, respectively. Brands shall determine whether to terminate the endorsement contract or not according to public attitude towards the scandal. Contrary to other suggestions, this research demonstrates that brands can use ―silence strategy‖ to manage celebrity endorsement crisis.
Economic Load Dispatch considering Valve Point Loading using Cuckoo Search Algorithm

This paper presents solution for the Economic Load dispatch (ELD) problem considering valve point loading on fuel cost function using cuckoo search algorithm (CSA). The main objective of the ELD problem is to minimize the fuel cost for meeting the power demand considering valve loading effect, generator limits, Power balance constrain without considering transmission losses. The cuckoo search is heuristic search algorithm which is inspired by the reproduction strategy of cuckoos. The advantage of cuckoo search method is few control parameters, high solution quality and fast computational time.
Research on Co-Movements Among Financial Markets of China and ASEAN Countries

The economic ties between China and ASEAN get increasingly close, and the co-movement among the financial markets shows a significant character of time varying. With the daily data from 2012 to July, 2019, this paper gives an empirical analysis to the volatility spillover among the stock markets of China and six ASEAN countries, based on the multivariate DCC-GARCH model. The results manifest that there is significant volatility among the return rate of stock indexes of China and six ASEAN countries, and the volatility lasts. In addition, in the aspect of volatility spillover, the conditional correlation coefficients of China with six ASEAN countries are clearly time-varying; the correlation of China’s stock market with Singapore’s is the strongest and shows a rising tendency, while the correlation of China’s stock market with Malaysia’s and Thailand’s is comparatively weaker and also shows a rising tendency, but in 2019 it is on the way down. The conditional correlation coefficients of China’s stock market with the Philippines’, Indonesia’s and Vietnam’s volatile frequently with same trend.
Visualising Strategies : The impact of user interpretation of a strategic decision support system

On the one hand, simulation models have been employed to support managers to understand the complexity in their businesses. On the other hand, there are different simulation models and different user interfaces to support managers' decision making processes. The use of simulation models will have different impact on managerial effectiveness to understand the information provided by the performance measurement system and manage their businesses. In this paper, we explore the interpretation of users of a strategic decision support system based on the concepts of dynamic resource-based view/strategy maps and its impact on the strategic decision making process. Our aim is to identify what is the impact of the interpretation assigned to the decision support system on the decisions made. The research has been conducted with 30 product managers from the pharmaceutical industry exploring similar decision support system. The results indicate that sense making is a key factor affecting the usefulness of decision support systems and impacting the decision making process.
Multi-scale Context for Scene Labeling via Dynamic Segmentation Graph

Using contextual information for scene labeling has gained substantial attention in the fields of image processing and computer vision. In this paper, a fusing model using dynamic segmentation graph (DSG) is presented to explore multiscale context for scene labeling problem. Given a family of segmentations, the representation of DSG is established based on the spatial relationship of these segmentations. In the scenario of DSG, the labeling inference process is formulated as a linear fusing model, trained from the discriminative classifiers. Compared to previous approaches, which usually employ Conditional Random Fields (CRFs) or hierarchical models to explore contextual information, our method produces a more powerful representation that captures wide variety of visual context for the task of image labeling. Our approach yields state-of-the-art results on the MSRC dataset (21 classes) and the LHI dataset (15 classes) and near-record results on the SIFT Flow dataset (33 classes), while producing a 320 × 240 scene labeling in less than a second.
Possibilities of Human Memory Simulation for Brain Based Learning Applications

: - In this paper the possibilities of modeling and simulation for human memory based on his working categories is presented. At the beginning the working principle and structure of the neuron and neuronal networks according to the simplified model accepted by neurosciences are developed. The differed kinds of memory like “sensorial memory”, “associative memory”, “recall memory”, “associative memory”, “forgetting memory” etc. are modeled and simulated using McCulloch-Pitts neuronal networks and logic neuronal networks on Simulink platform. The simulation results are satisfactory for several types of memory models and open new perspectives for Brain Based Learning and e-Learning applications.
A Survey of Tactile-Sensing Systems and Their Applications in Biomedical Engineering

Over the past few decades, tactile sensors have become an emerging field of research in both academia and industry. Recent advances have demonstrated application of tactile sensors in the area of biomedical engineering and opened up new opportunities for building multifunctional electronic skin (e-skin) which is capable of imitating the human sense-of-touch for medical purposes. Analyses have shown that current smart tactile sensing technology has the advantages of high performance, low-cost, time efficiency, and ease-of-fabrication. Tactile sensing systems have thus sufficiently matured for integration into several fields related to biomedical engineering. Furthermore, artificial intelligence has the potential for being applied in human-machine interfacing, for instance, in medical robotic manipulation, especially during minimally invasive robotic surgery, where tactile sensing is usually a problem. In this survey, we present a comprehensive review of the state of the art of tactile sensors. We focus on the technical details of transduction mechanisms such as piezoresistivity, capacitance, piezoelectricity, and triboelectric and highlight the role of novel and commonly used materials in tactile sensing. In addition, we discuss contributions that have been reported in the field of biomedical engineering, which includes its present and future applications in building multifunctional e-skins, human-machine interfaces, and minimally invasive surgical robots. Finally, some challenges and notable improvements that have been made in the technical aspects of tactile sensing systems are reported.
HLA-H: Transcriptional Activity and HLA-E Mobilization

Little attention is paid to pseudogenes from the highly polymorphic HLA genetic region. The pseudogene HLA-H is defined as a non-functional gene because it is deleted at different frequencies in humans and because it encodes a potentially non-functional truncated protein. However, different studies have shown HLA-H transcriptional activity. We formerly identified 13 novel HLA-H alleles, including the H*02:07 allele, which reaches 19.6% in East Asian populations and encodes a full-length HLA protein. The aims of this study were to explore the expression and possible function of the HLA-H molecule. HLA-H may act as a transmembrane molecule and/or indirectly via its signal peptide by mobilizing HLA-E to the cell surface. We analyzed HLA-H RNA expression in Peripheral Blood Mononuclear Cells (PBMC), Human Bronchial Epithelial Cells (HBEC), and available RNA sequencing data from lymphoblastoid cell lines, and we looked to see whether HLA-E was mobilized at the cell surface by the HLA-H signal peptide. Our data confirmed that HLA-H is transcribed at similar levels to HLA-G. We characterized a hemizygous effect in HLA-H expression, and expression differed according to HLA-H alleles; most interestingly, the HLA-H*02:07 allele had the highest level of mRNA expression. We showed that HLA-H signal peptide incubation mobilized HLA-E molecules at the cell surface of T-Lymphocytes, monocytes, B-Lymphocytes, and primary epithelial cells. Our results suggest that HLA-H may be functional but raises many biological issues that need to be addressed.
Role of Propriospinal Neurons in Control of Respiratory Muscles and Recovery of Breathing Following Injury

Respiratory motor failure is the leading cause of death in spinal cord injury (SCI). Cervical injuries disrupt connections between brainstem neurons that are the primary source of excitatory drive to respiratory motor neurons in the spinal cord and their targets. In addition to direct connections from bulbospinal neurons, respiratory motor neurons also receive excitatory and inhibitory inputs from propriospinal neurons, yet their role in the control of breathing is often overlooked. In this review, we will present evidence that propriospinal neurons play important roles in patterning muscle activity for breathing. These roles likely include shaping the pattern of respiratory motor output, processing and transmitting sensory afferent information, coordinating ventilation with motor activity, and regulating accessory and respiratory muscle activity. In addition, we discuss recent studies that have highlighted the importance of propriospinal neurons for recovery of respiratory muscle function following SCI. We propose that molecular genetic approaches to target specific developmental neuron classes in the spinal cord would help investigators resolve the many roles of propriospinal neurons in the control of breathing. A better understanding of how spinal circuits pattern breathing could lead to new treatments to improve breathing following injury or disease.
Protein Activity Sensing in Bacteria in Regulating Metabolism and Motility

Bacteria have evolved complex sensing and signaling systems to react to their changing environments, most of which are present in all domains of life. Canonical bacterial sensing and signaling modules, such as membrane-bound ligand-binding receptors and kinases, are very well described. However, there are distinct sensing mechanisms in bacteria that are less studied. For instance, the sensing of internal or external cues can also be mediated by changes in protein conformation, which can either be implicated in enzymatic reactions, transport channel formation or other important cellular functions. These activities can then feed into pathways of characterized kinases, which translocate the information to the DNA or other response units. This type of bacterial sensory activity has previously been termed protein activity sensing. In this review, we highlight the recent findings about this non-canonical sensory mechanism, as well as its involvement in metabolic functions and bacterial motility. Additionally, we explore some of the specific proteins and protein-protein interactions that mediate protein activity sensing and their downstream effects. The complex sensory activities covered in this review are important for bacterial navigation and gene regulation in their dynamic environment, be it host-associated, in microbial communities or free-living.
Mitochondrial DNA Promotes NLRP3 Inflammasome Activation and Contributes to Endothelial Dysfunction and Inflammation in Type 1 Diabetes

Background: NLRP3 inflammasome activation in response to several signals, including mitochondrial DNA (mDNA), regulates inflammatory responses by caspase-1 activation and interleukin-1β (IL-1β) release. Circulating mDNA is linked to micro and macrovascular complications in diabetes. However, a role for mDNA in endothelial dysfunction is not clear. We tested the hypothesis that mDNA contributes to diabetes-associated endothelial dysfunction and vascular inflammation via NLRP3 activation. Methods: Vascular reactivity, reactive oxygen species (ROS) generation, calcium (Ca2+) influx and caspase-1 and IL-1β activation were determined in mesenteric resistance arteries from normoglicemic and streptozotocin-induced diabetic C57BL/6 and NLRP3 knockout (Nlrp3–/–) mice. Endothelial cells and mesenteric arteries were stimulated with mDNA from control (cmDNA) and diabetic (dmDNA) mice. Results: Diabetes reduced endothelium-dependent vasodilation and increased vascular ROS generation and caspase-1 and IL-1β activation in C57BL/6, but not in Nlrp3–/– mice. Diabetes increased pancreatic cytosolic mDNA. dmDNA decreased endothelium-dependent vasodilation. In endothelial cells, dmDNA activated NLRP3 via mitochondrial ROS and Ca2+ influx. Patients with type 1 diabetes exhibited increased circulating mDNA as well as caspase-1 and IL-1β activation. Conclusion: dmDNA activates endothelial NLRP3 inflammasome by mechanisms that involve Ca2+ influx and mitochondrial ROS generation. NLRP3 deficiency prevents diabetes-associated vascular inflammatory damage and endothelial dysfunction. Our study highlights the importance of NLRP3 inflammasome in diabetes-associated vascular dysfunction, which is key to diabetic complications.