Miracle-dz/UniFAR-FTUs huggingface dataset:
F eb 2 01 6 Efficient distribution and improved security for reliable cloud storage system

The distributed data storage systems are constructed by large number of nodes which are interconnected over a network. Each node in such peer-to-peer network is vulnerable and at a potential risk for attack. The attackers can eavesdrop the nodes and possibly modify their data. Hence distributed storage systems should be secure apart from satisfying the reconstruction and repair requirements. We constructed a distributed storage system, Twin MDS code framework which is more efficient than the regenerating codes based storage systems. We prove that this Twin MDS code framework gives better performance than MBR codes and equal with MSR codes in the distribution process and investigate its security performance comparing with the security of the MBR and MSR codes. Such Twin MDS code framework is examined in an eavesdropper model where passive attackers can access to the stored data or/and downloaded data during the repair process. We demonstrate that the Twin MDS code framework manages better results than MBR and MSR codes regarding the security in the system. twin-code framework, distributed storage systems (DSS), eavesdropper, informationtheoretic secrecy, security in DSS, minimum bandwidth regenerating codes, minimum storage regenerating codes
Book Review: Psychology in Relation to Medicine

We may not be able to make you love reading, but psychology in relation to medicine will lead you to love reading starting from now. Book is the window to open the new world. The world that you want is in the better stage and level. World will always guide you to even the prestige stage of the life. You know, this is some of how reading will give you the kindness. In this case, more books you read more knowledge you know, but it can mean also the bore is full.
Total Social Finance: Mutual Influences between Financial Markets and Macro Economy

It was not until the outbreak of the global financial crisis in 2007 when people turned to Hyman Minsky's financial-instability hypothesis. Owing to the critique that financial markets are not taken into consideration in economic analyses, recent macroeconomic literature has started incorporating financial sectors in the models. This paper addresses this issue in a way that we extend a macroeconomic model to incorporate a standard agent-based model from the finance literature, aiming to investigate how the financial market and the real economy interact with each other. The boundedly rational investors derive the fundamental value of financial market by looking at the macroeconomic variables. Meanwhile, the financial market influences the price level through the wealth effect. Empirical investigation using US data shows that short-term interest rate decreases in corporate profit rate and increases in debt ratio, supporting the Minsky hypothesis and the financial accelerator mechanism respectively. We also find evidence of the mutual influence between the macroeconomic variables and the stock market. Moreover, our results provide some justification to the recent policy measure of the central bank of China -- total social finance which includes financial markets in measuring money supply.
A Practical Solution for Non-Intrusive Type II Load Monitoring Based on Deep Learning and Post-Processing

This paper presents a practical and effective non-intrusive load monitoring (NILM) solution to estimate the energy consumption for common multi-functional home appliances (type II appliances). Type II home appliances are usually the most challenging cases in load disaggregation because they usually have multiple power consumption states, complex state transitions, and multiple operational modes. The practicality of the proposed deep convolutional neural networks-based approach comes from the minimum prerequisite information from the previously unseen customers. That means no sub-metered information for the target appliances in the NILM service subscriber’s house is needed to provide appliance level identification and estimate under the proposed architecture. Our solution also includes a novel post-processing technique that boost the performance significantly on type II home appliances. The effectiveness of the solution is evaluated on a public dataset to allow comparison with the previous works.
Health Information Campaigns and Genetically Modified Food Labels in the Seafood Market

In this dissertation I investigate consumer responses to two forms of information provision in the seafood market: health information campaigns and genetically modified food labels. Using data from a seafood auction experiment, I explore sources of heterogeneity among auction participants and their responses to health information in the context of current United States Departments of Agriculture and Health and Human Services policy goals using a mixed effects finite mixture model. My second and third chapters explore the potential effect of the forthcoming National Bioengineered Food Disclosure Standard on demand for genetically modified seafood. Considering the new labeling standard and the development of a genetically modified fish I collect data using an online choice experiment to investigate 1) consumer preferences and willingness to pay for Atlantic Salmon fillets with labels denoting the presence or absence of GM technology and 2) influence of behavioral measures on consumer preference for GM seafood using an application of machine learning techniques. The use of these techniques allows for rigorous identification of treatment effects that hold important implications for policy makers in the ever adapting “Information Age. ”
Design Methodology Based on the Inversion Coefficient and its Application to Inductorless LNA Implementations

The Internet of Things (IoT) entails new challenges for the development of wireless transceivers. Radio-frequency building blocks require complex design flows in order to address very different sets of specifications. This paper presents a three-step design methodology dedicated to the synthesis of RF building blocks. Based on the inversion coefficient, the proposed design methodology allows the optimization of the circuit performance for any CMOS process and any application. It is illustrated through the implementation of inductorless low-noise amplifiers (LNA) in three different CMOS nodes: 28-nm fully-depleted silicon-on-insulator (FDSOI), and 65 and 130-nm Bulk. These LNAs are dedicated to two cases of IoT applications: multi-standard and ultra low power. The proposed circuits achieve the state-of-the-art performance for all nodes and applications. Furthermore, the methodology enables an insightful comparison of the capabilities of the different CMOS nodes in terms of power consumption, noise, and bandwidth.
Virtual Communities and Offline Collaboration: Four Case Studies

espanolEn este articulo nos centramos en la relacion entre las comunidades online, las denominadas comunidades virtuales (VC) y la colaboracion offline con el fin de obtener informacion sobre (1) la relacion entre las VC y la colaboracion y (2) la relacion entre la percepcion de virtual / virtualidad y la colaboracion. Con base en 49 entrevistas en profundidad con miembros de una VC social (GSCAI), una VC profesional (Diarioclown), una VC sin animo de lucro (AZALEA) y una VC comercial (F&G) concluimos que las VC pueden ser una herramienta barata y poderosa para administrar la colaboracion offline. Sin embargo, esta eficacia tambien puede destruir o comprometer un grupo. Desde una perspectiva teorica, nuestro estudio demuestra la aplicabilidad y la utilidad de la tipologia de Porter de las comunidades virtuales y sugiere su expansion con una orientacion o dimension online-offline. EnglishIn this article we focus on the relationship between online communities, so-called virtual communities (VCs), and offline collaboration in order to gain insight in (1) the relationship between VCs and collaboration and (2) the relationship between the perception of the virtual/virtuality and collaboration. Based on 49 in-depth interviews with members of a social VC (GSCAI), a professional VC (Diarioclown), a non-profit VC (AZALEA) and a commercial VC (F&G) we conclude that VCs can be a cheap and powerful tool to support offline collaboration. However, this efficacy can also destroy or compromise a group. From a theoretical perspective, our study demonstrates the applicability and usefulness of Porter’s typology of virtual communities and suggests extending it with an online-offline orientation or dimension.
An Approach for Controlled Reclosing of Shunt-Compensated Transmission Lines

An approach for controlled reclosing of transmission lines with shunt reactive compensation is proposed here to reduce switching surge overvoltages. It consists of applying Karrenbauer's transformation as a matrix operator for the analysis of voltage signals required to control switching operations. The procedure also determines the arc extinction time for single and double-phase-to-ground faults which may avoid unsuccessful reclosing. A device to control the line reclosing was implemented and evaluated through real-time simulations. An offline version was implemented for parametric and sensitivity analysis through the Electromagnetic Transients Program using actual parameters from the Brazilian Power System Grid. Several field oscillographic data, obtained from Brazilian power transmission lines with different transposition schemes, were used to validate the proposed approach, and the results attest its efficiency.
Etude théorique et expérimentale de cavités photoniques en niobate de lithium : appliquation à la détection de gaz

Les travaux de theses reposent sur l'etude et le developpement des structurez photoniques sur niobate de lithium pour des applications capteurs de gaz. L'originalite du travail est d'etudier l'effet de l'absorption des couches de porphyrines specifiques a la detection du benzene et deposees sur le cristal photonique sur la reponse spectrale de ce dernier. En premier lieu, une etude theorique par des methodes numeriques, maitrisees a laboratoire d'optique (FDTD, PWE), etaient necessaires pour etudier l'effet de la presence de certains gaz sur la reponse spectrale des cristaux photoniques. Nous avons montre qu'avec la structure choisie, une variation de la transmission de de 23 % est obtenue lorsque le systeme est expose a 50ppm de benzene. La sensibilite de la structure au benzene est estimee a 2,3ppm. En second lieu, nous avons etudie des realisations en salle blanche des structures photoniques. En utilisant la methode de gravure directe par faisceau d'ions focalise (FIB), on a realise plusieurs cavites photoniques sur des guides d'ondes optiques fabriques en collaboration avec Photoline Technologies. Un banc de caracterisation automatise (interface GPI) en reflexion et en transmission est monte pour verifier les predictions theoriques. En plus, les etudes theoriques et experimentales en champ proche optique ont ete realisees pour mettre en evidence la resonance des cavites gravees sur niobate de lithium. Ainsi ces etudes experimentales sont les premieres sur ce type de materiaux.
Superconducting linear motors for high-dynamic applications

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication
Stereo Visual Odometry Based on Motion Decoupling and Special Feature Screening for Navigation of Autonomous Vehicles

Visual odometry uses image information to estimate the ego-motion of a camera and is a practical technique for the navigation of autonomous vehicles. This paper presents a novel stereo-based ego-motion estimation method for this purpose. The proposed method employs a motion decoupling strategy that uses a set of distant feature points to estimate the camera’s rotation and a set of close feature points to estimate the translation. The set of feature points used for the motion estimation is carefully screened with bucketing plus aging techniques by considering their spatial distribution and temporal evolution. It has been found that the age of the tracked features has a significant impact on motion estimation. Older features generate less tracking error and should be selected for motion estimation. The proposed method is tested on the KITTI benchmark dataset and evaluated by comparing it with the existing visual odometry systems. The experimental results demonstrate that the proposed method can significantly improve the calculation efficiency and, meanwhile, guarantee a satisfactory accuracy.
Fundations: A Systematic, Research-Based Program to Support Students with Dyslexia through Tier 1 Instruction

This study explored whether students with dyslexia can be supported through Tier 1 intervention in the general education setting. The school researched in this study chose to purchase a research-based program, FUNdations, which can be implemented at Tier 1, 2, or 3, to support students with language-based disabilities, including dyslexia. Students identified with dyslexia require explicit instruction in phonics and decoding skills. As the Dyslexia Center of Utah (2014) reports, dyslexia is a common language-based disability, affecting one in five learners. This study has examined teachers within the general education setting implementing FUNdations as a research-based intervention to address the needs of students with dyslexia and other struggling readers with language-based disabilities. A mixed methods approach was utilized through surveys to determine teacher preparedness, comfort, and fidelity of implementation.
Polynomial flow-cut gaps and hardness of directed cut problems

We study the multicut and the sparsest cut problems in directed graphs. In the multicut problem, we are a given an n-vertex graph G along with k source-sink pairs, and the goal is to find the minimum cardinality subset of edges whose removal separates all source-sink pairs. The sparsest cut problem has the same input, but the goal is to find a subset of edges to delete so as to minimize the ratio of the number of deleted edges to the number of source-sink pairs that are separated by this deletion. The natural linear programming relaxation for multicut corresponds, by LP-duality, to the well-studied maximum (fractional) multicommodity flow problem, while the standard LP-relaxation for sparsest cut corresponds to maximum concurrent flow. Therefore, the integrality gap of the linear programming relaxation for multicut/sparsest cut is also the flow-cut gap: the largest gap, achievable for any graph, between the maximum flow value and the minimum cost solution for the corresponding cut problem. Our first result is that the flow-cut gap between maximum multicommodity flow and minimum multicut is Ω˜(n1/7) in directed graphs. We show a similar result for the gap between maximum concurrent flow and sparsest cut in directed graphs. These results improve upon a long-standing lower bound of Ω(log n) for both types of flow-cut gaps. We notice that these polynomially large flow-cut gaps are in a sharp contrast to the undirected setting where both these flow-cut gaps are known to be Θ(log n). Our second result is that both directed multicut and sparsest cut are hard to approximate to within a factor of 2Ω(log1−&epsis; n) for any constant &epsis; > 0, unless NP ⊆ ZPP. This improves upon the recent Ω(log n/log log n)-hardness result for these problems. We also show that existence of PCP's for NP with perfect completeness, polynomially small soundness, and constant number of queries would imply a polynomial factor hardness of approximation for both these problems. All our results hold for directed acyclic graphs.
A Stacked Multi-Granularity Convolution Denoising Auto-Encoder

With the development of big data, artificial intelligence has provided many intelligent solutions to urban life. For instance, an image-based intelligent technology, such as image classification of diseases, is widely used in daily life. However, the image in real life is mostly unlabeled, so the performance of many image-based intelligent models shows limitations. Therefore, how to use a large amount of unlabeled image data to build an efficient and high-quality model for better urban life has been an urgent research topic. In this paper, we propose an unsupervised image feature extraction method that is referred to as a stacked multi-granularity convolution denoising auto-encoder (SMGCDAE). The algorithm is based on a convolutional neural network (CNN), yet it introduces a multi-granularity kernel. This approach resolved issues with image unicity by extracting a diverse category of high-level features. In addition, the denoising auto-encoder ensures stability and improves the classification accuracy by extracting more robust features. The algorithm was assessed using three image benchmark datasets and a series of meningitis images, achieving higher average accuracy than other methods. These results suggest that the algorithm is capable of extracting more discriminative high-level features and thus offers superior performance compared with the existing methodologies.
Non-CO2 emissions embodied in trade of Danish pork

Abstract As an alternative to the traditional IPCC-based accounting of GHG emissions based on a geographical perspective (only emissions relating to activities that occur nationally are taken into account), consumption-based accountings have shown the quantity of CO2 emissions embodied in international trade. However, few studies have focused on the contribution of non-CO2 emissions such as methane (CH4) and nitrous oxide (N2O). This paper presents a comprehensive study of non-CO2 emissions due to the consumption of pig meat (PM) in Denmark, estimating the amount of non-CO2 emissions embodied in trade during the period 2000–2016. In 2016, 595 Gg of CO2eq were released in Denmark for producing PM consumed in another country, corresponding to 53% of PM emissions produced in Denmark. Denmark is a net exporter of PM-related emissions and during the period 2000–2016 the gap between emissions due to production and consumption increased by 24%. The largest importing countries were Germany, Poland and Italy (36, 15 and 10%, respectively, of total emissions exported from Denmark). The Danish emission intensity (emissions per t of PM produced) was lower than the emission intensity for the largest importing countries. Hence, the Danish export of PM is advantageous in terms of total non-CO2 emissions.
A General Method for Balanced-to-Unbalanced Filtering Out-of-Phase Power Divider Design

In this paper, a new method to develop balanced-to-unbalanced (BTU) filtering out-of-phase power divider (PD) is presented. Based on the comparison between BTU filtering out-of-phase PD and balanced-to-balanced (BTB) filter, it is found that the BTU filtering out-of-phase PD can be constructed by combining a BTB filter and an additional parallel four-port network. The design equations are derived and corresponding circuit models are given. Finally, a prototype is designed to verify the theoretical prediction. The design procedure and parameter selection are detailed. The good performance and the consistency between the simulated and measured results verify the design theory.
3’5’-Adenosine Diphosphate (3′5′ADP):A Physiological Inhibitor of Platelet Aggregation and Platelet Release Reaction

Certain analogues of adenosine have been shown to inhibit ADP-induced platelet aggregation. We therefore studied the in vitro effect of 3′5′ADP and coenzyme A on human platelet aggregation and [14C]-serotonin release reaction induced by the addition of ADP, thrombin, collagen and epinephrine to human platelet rich plasma (PRP). It was found that coenzyme A Li3·2H2O at a concentration of 0.12 mM strongly inhibited ADP-induced platelet aggregation of PRP but did not show similar effect on the aggregation of platelets induced by other aggregating agents. The 3′5′ADP which is a part of coenzyme A structure, on the other hand, inhibited both ADP and thrombin induced platelet aggregation. The extent of inhibition of platelet aggregation by coenzyme A and 3′5′ADP was found to depend upon the concentration of the inhibitor and the incubation time. Whereas 3′5′ADP Li2·3H2O at a concentration of 10 μM produced about 70% inhibition of ADP-induced platelet aggregation of human PRP, total inhibition of thrombin induced platelet aggregation was observed when platelets were incubated with 60 μM of 3′5′ADP. The 3′5′ADP also inhibited the [14C]-adeonsine uptake by platelets in a concentration dependent manner. The inhibitory potency of 3′5′ADP on platelet aggregation was found to be 10-fold higher than that of N6-2′-0-dibutyryl-cyclic 3′5′-adenosine monophosphate. The inhibition of platelet aggregation by coenzyme A and 3′5′ADP was always accompanied by the inhibition of [14C]-serotonin release reaction. If coenzyme A and 3′5′ADP are indeed physiological inhibitors of platelet aggregation, then aggregation of platelets should depend on metabolic events that regulate the concentration of these agents in blood.
Heart Rate Recovery Changes during Competition Period in High-Level Basketball Players

Research background and hypothesis. Replete schedule of competitions and intense training are features of contemporary team sports. Athletes, especially the most involved ones, may not have enough time to recover. As a consequence, aggregated fatigue can manifest in some undesirable form and affect athlete’s performance and health.Research aim. The aim of this study was to evaluate the changes in heart rate recovery (HRR) and investigate possible relations with sport-speciﬁ c measures of efﬁ cacy in professional basketball players during competition season.Research methods. Eight male high-level basketball players (mean ± SD, body mass, 97.3 ± 11.33 kg; height 2.02 ± 0.067 m, and age 23 ± 3.12 years) were investigated. The same basketball speciﬁ c exercise was replicated several times from September till April during the practice sessions in order to assess the personal trends of HRR. Heart rate monitoring was performed using POLAR TEAM SYSTEM. Investigated athletes were ranked retrospectively according to the total amount of minutes played and the coefﬁ cients of efﬁ cacy. Research results. There were signiﬁ cant differences in the trends of HRR between the investigated players. The most effective players showed decreasing trends of HRR in all cases of ranking.Discussion and conclusions. Research ﬁ ndings have shown that the quality of heart rate recovery differs between basketball players of the same team and could be associated with sport-speciﬁ c efﬁ cacy and competition playing time.Keywords: adaptation, autonomic control, monitoring training.
A Complex Event Processing Model Based on RFID Network

RFID complex event processing technology is the key point of RFID researching in these years. For the trend of great network application of RFID, this paper presents an RFID complex event processing model according to the features of RFID data and the disadvantage of the current models. Besides, the application in real scenario is also discussed. Keywords-component; RFID; RFID network; complex event processing