Miracle-dz/UniFAR-FTUs huggingface dataset:
Differentially Private Parameter Estimation from Distributed Sources

We consider the problem of parameter estimation with data collected from M parties, each party holding N copies of identically and independently distributed (i.i.d.) samples. In many circumstances, parties are not willing to reveal their private information, so the released data will be ε-differential private. In this paper, we propose two algorithms to estimate parameter: for general dataset with the number of samples satisfying M = o ( N ) and the privacy parameter satisfying ε = Ω ( N1/6M−1/3 ) , we proposed subsample-and-aggregate estimator, which is asymptotically efficient (i.e. its MSE is asymptotically equal to Fisher information). On the other hand, if the underlying distributions are from exponential family and if ε = Ω(1/N), we showed that sufficient-statistic-averaging is always efficient as N goes to infinity. Our results showed that as long as the number of parties does not grow too fast, one can guarantee differential privacy for free, without sacrificing the performance of estimation.
Platelet rich plasma: An Iterative process towards healing

The influence of platelet rich plasma in the field of medical science and dentistry been one of the prominent and undoubtedly a magnificent discovery in terms of research and clinical application. The unflinching determination of few authors and researches has given a good amount of outcome in clinical trials, so it has helped us in evaluating and analysing the platelet rich plasma in a much layered way. This article will highlight the PRP in endodontics. Clinical evaluation, drawing of blood, its mechanism of action and pros and cons of of this therapy, with an overall view and an unbiased information. Keywords: Platelet derived growth factors, Platelet rich fibrin, Buffy coat.
Automatic Attendance System Using BLE Beacon

The traditional systems does marking of attendance, handling lectures by paper signing pattern which disturbs the concentration of students but on research, proposedidea does task like automated marking attendance by use of BLE (Bluetooth Low Energy) beacons and the involves usage of automated tools like Selenium which will be reducing the paper work and error like proxy, missing attendance. The system also gives the idea about many events and programs by advertising their details and providing details of examinations in the college campus on reaching the place so system alerts the students if the lecture starts and they are outside the classroom. For making better decisions and keeping eye on everyone and to save students time and reduce their disturbance in lectures. It is using concept of proximity analysis solution using BLE 4.0Technology which results to digitizing college activities and reduction of disturbance in concentration and also reduction in workload of staff for attendance manipulation and other activities, we can make use of this proposed technology using BLE 4.0 beacons. This system solves all the problem occurred in college indoor area. The previous system uses more hardware device for college activities like marking attendance, managing events and instructing for exam location which takes a long time for all the students to do that type of work.
Geodesic Distance-Based Generalized Gaussian Laplacian Eigenmap

The conventional Laplacian Eigenmap preserves neighborhood relationships based on Euclidean distance, that is, the neighboring high-dimensional data points are mapped into neighboring points in the low-dimensional space. However, the selections of neighborhood may influence the global low-dimensional coordinates. In this paper, both the geodesic distance and generalized Gaussian function are incorporated into Laplacian eigenmap algorithm. At first, a generalized Gaussian Laplacian eigenmap algorithm based on geodesic distance (GGLE) is proposed. The global low-dimensional coordinates obtained by GGLE have different clustering properties when different generalized Gaussian functions are used to measure the similarity between the high-dimensional data points. Then, this paper utilizes these properties to further propose the ensemble-based discriminant algorithm of the above-motioned GGLE. The main advantages of the ensemble-based algorithm are: The neighborhood parameter K is fixed and to construct the neighborhood graph and geodesic distance matrix needs one time only. Finally, the recognition experimental results on wood texture dataset show that it is an efficient ensemble discriminant algorithm based on manifold.
Algorithmic Research for Image Annotation Based on Region Convolution Neural Network

Traditional image processing and pattern recognition research aimed at identifying the target image. As time goes by, on the basis of the recognition of the image, more and more research points to identify multiple targets in the image, and the corresponding block of the corresponding target is calibrated. Compared with the traditional image recognition, the problem of image annotation is a combination of multi classification and multi regression, which is more difficult and challenging. On the basis of deep convolutional neural network, this paper studies the image annotation algorithm based on region selection algorithm and support vector machine, and the algorithm is tested on the PASCAL VOC 2010 image data set. Experimental results show that compared with the current algorithm, this algorithm can be used to mark the image of multiple targets, the effect is obvious, and there is a great practical significance.
Risks of Maladaptation : Climate Insurance in Agriculture

Weather risk is an issue of extraordinary concern in the face of climate change, not least for rural agricultural households in developing countries. Governments and international donors currently promote ‘climate insurance’, financial mechanisms that make payouts following extreme weather events. Technologically innovative insurance programmes are heralded as promising strategies for decreasing poverty and improving resilience in countries that are heavily dependent on smallholder agriculture. New subsidies will amount to hundreds of millions of dollars, yet funders and advocates have thus far neglected the social and ecological ramifications of these policies. Reviews have focused largely on near-term economic effects and practical challenges.
Soporte de sistema operativo para ahorro de energía en plataformas móviles con procesadores multicore asimétricos

Los procesadores multicore asimetricos con repertorio comun de instrucciones (AMPsAsymmetric Multicore Processors) han sido propuestos recientemente como alternativa de bajo consumo a los procesadores multicore simetricos convencionales. Los AMPs combinan, en un mismo chip, cores rapidos de alto rendimiento, con cores mas lentos y sencillos de consumo reducido. Uno de los ejemplos mas destacados de procesador multicore asimetrico es el procesador big.LITTLE de ARM, que incorporan algunos modelos de telefonos moviles y tablets disponibles en la actualidad. Trabajos previos han demostrado que para explotar los beneficios potenciales de los procesadores multicore asimetricos, el sistema operativo debe tener en cuenta el beneficio relativo (speedup) que cada aplicacion experimenta al ejecutar en un core rapido frente a un core lento. Actualmente, los planificadores por defecto de los sistemas operativos de proposito general no tienen en cuenta la diversidad de speedups entre aplicaciones que puede estar presente en una carga de trabajo multiprogramada. En consecuencia, la asignacion de aplicaciones a cores que hacen estos planificadores no extrae el maximo rendimiento por vatio de la plataforma. Recientemente se han realizado extensiones en el kernel Linux para ofrecer un mejor soporte de planificacion en multicore asimetricos. Sin embargo, estas extensiones del planificador, utilizadas fundamentalmente en dispositivos moviles con el sistema operativo Android, tampoco tienen en cuenta la diversidad de speedups en las aplicaciones de la carga de trabajo. Por lo tanto estas extensiones no constituyen una aproximacion robusta desde el punto de vista de la eficiencia energetica. En este proyecto se lleva a cabo la evaluacion exhaustiva de distintos algoritmos de planificacion para multicore asimetricos sobre una plataforma provista de un procesador ARM big.LITTLE. El principal objetivo del estudio es cuantificar el grado de eficiencia energetica y el rendimiento global proporcionado por implementaciones de estos algoritmos en el kernel Linux sobre hardware multicore asimetrico real.
Privacy-Preserving Public Auditing for Regenerating-Code-Based Cloud Storage using AES and ABE

Cloud computing is an newly evolving computing paradigm which users efficient to distantly store their data in a server and provide services ondemand with independent on location. Many users of cloud and cloud service providers are from different trust areas in cloud computing. Data security and privacy are becomes significant issues for distant data storage. Before cloud users have the freedom to store susceptible data to the cloud server for storage a secure user enforced data access control mechanism is provided. Attribute-based encryption is a public key encryption that enables access control over encrypted data using different access policies and ascribed attributes. The protection of outsourced data in cloud storage against corruptions and adding fault with checking integrity of data and failure reparation becomes critical task. A public auditing scheme is used for the regenerating-code-based cloud storage. This scheme can completely releases the burden of data owners about storing and maintaining their data on cloud server. KeywordsCloud storage, regenerating codes, public audit, privacy preserving, proxy, ABE, AES.
Self Healing Behavior of Engineered Cementitious Composites

Normal concrete is brittle and tends to crack, resulting in a lack of durability and frequent repair needs. In order to combat this problem, the self-healing behavior of pre-cracked engineered cementitious composites (ECC) was investigated in this paper. Specifically, the influence of precracking time on the self healing behaviour of ECC was studied. Four-point bending tests were used to precrack ECC beams at different age. Two curing regimes were adopted in the study, i.e. water immersion and air curing. For both curing regimes, the magnitude of the deflection capacity after self-healing can recover and even exceed that from virgin samples. While the recovery level of flexural stiffness decreases with the precracking time, no clear trend can be seen for the recovery level of deflection capacity with the precracking time. The addition of nanosized clay in the mixture may have positive effect on the self-healing behavior of ECC even without the presence of external water, i.e. water immersion curing. Further demonstration is needed for this preliminary finding via ESEM and/or NMR.
Handbook of Digital Forensics of Multimedia Data and Devices

Digital forensics and multimedia forensics are rapidly growing disciplines whereby electronic information is extracted and interpreted for use in a court of law. These two fields are finding increasing importance in law enforcement and the investigation of cybercrime as the ubiquity of personal computing and the internet becomes ever-more apparent. Digital forensics involves investigating computer systems and digital artefacts in general, while multimedia forensics is a sub-topic of digital forensics focusing on evidence extracted from both normal computer systems and special multimedia devices, such as digital cameras.
Universitet Patterns of Fasciola hepatica infection in Danish dairy cattle

Background: Bovine fasciolosis is an economically important livestock disease in Europe, and represents a particular challenge for organic farms, where cattle are grazed extensively and the use of anthelmintic is limited. A two-year longitudinal study was conducted on two conventional and two organic Danish dairy farms to examine the current temporal trend of F. hepatica infection on-farm, and to gather data of practical relevance for parasite control. Data were collected both at the herd and individual level using currently available diagnostic methods: a commercial serum antibody ELISA, a commercial copro-antigen ELISA, faecal egg counts, and monthly bulk tank milk (BTM) ELISA. The temporal patterns (animal age, farm-level temporal trends and seasonality) in the animal-level test results were analysed by generalised additive mixed models (GAMM). Results: Patterns of infection differed substantially between the farms, due to different grazing management and anthelmintic use. However, animals were first infected at the age of 1.5–2 years (heifers), and most at-risk animals sero-converted in autumn, suggesting that summer infections in snails prevail in Denmark. Our results also suggest that the lifespan of the parasite could be over 2 years, as several cows showed signs of low grade infection even after several years of continuous indoor housing without access to freshly-cut grass. The serum antibody ELISA was able to detect infection first, whereas both copro-antigen ELISA and faecal egg counts tended to increase in the same animals at a later point. Decreasing BTM antibody levels were seen on the two farms that started anthelmintic treatment during the study. Conclusions: While important differences between farms and over time were seen due to varying grazing management, anthelmintic treatment and climatic conditions, the young stock was consistently seen as the main high-risk group and at least one farm also had suspected transmission (re-infection) within the lactating herd. Careful interpretation of test results is necessary for older cows as they can show persistent infections several years after exposure has stopped. Rigorous treatment regimens can reduce BTM ELISA values, but further research is needed to develop a non-medicinal approach for sustainable management of bovine fasciolosis.
THE IMPACT OF CONSISTENT , FLEXIBLE AND REACTOR STRATEGY ON ORGANIZATIONAL PERFORMANCE : A COMPARATIVE ANALYSIS

There is an inconclusive debate in strategic management literature that whether consistency in strategy brings superior performance than flexible strategy or vice versa? There is substantial evidence in favour of both arguments. In this background, the aim of this paper is to identify the behaviour of strategic stance of the firms and classify them into consistent, flexible, and reactors. The impact of these strategic behaviours on organizational performance is also investigated using financial data of joint stock firms of textile industry in Pakistan. The framework of Miles and Snow is used to operationalize the strategic types. The results show that majority firms follow consistency in their strategic behaviors and their performance is also better than the firms following flexible strategy. Reactors performed poorly as both consistent and flexible strategies outperformed them. The performance varies across the firm size but the difference is insignificant.
A Carrier Preemption Access Control Protocol for Supporting IP Packets over WDM Ring Networks

In this paper, a carrier preemption access control protocol based on carrier sense multiple access schemes has been investigated for supporting IP packets over all optical WDM ring networks. The intention of our protocol design is to reduce the communication overhead of IP packets over optical networks for local/metropolitan area. To facilitate spatial reuse on the bandwidth of all optical ring networks, a special design is made for the carrier preemption scheme. Simulation has been done to evaluate the performance of our protocol. The simulation results display extraordinary good network efficiency.
Capacity analysis of cognitive UWB networks

The problem of analyzing the capacity of cognitive UWB networks was investigated.Taking into account of several factors such as transmission power constraints,interference temperature constraint in the receiver of primary system,outage probability and maximum allowed users were calculated by semi-analytical approach.Simulations were provided to illustrate the analysis.It is also proved that the increase of interference temperature will deteriorate the capacity of cognitive UWB network;and the constraint of interference temperature is related to the constraint of transmission power.
Crypto library for vectorised FPGA interlays

As a solution to the rising of Dark Silicon areas and to the need of adding more accelerators and application specific instructions in future CPUs, this project examines the idea of adding a run-time reconfigurable FPGA-like fabric (called an FPGA Interlay) directly into the CPU core to allow application-specific customization in the field. This project presents the implementation and trade-offs involved for cryptography cores as instruction set extensions for ARM A9 CPU where the NEON vector unit is replaced with a fine-grained Interlay fabric of identical size and vector interface. The results of this study show that this Interlay is 7.7x faster for AES than the hardened NEON vector unit and can provide functionality that is not available on NEON. Additionally, this project highlights possible techniques for optimising the FPGA Interlay and the NEON vector unit.
ADAR1: “Editor-in-Chief” of Cytoplasmic Innate Immunity

Specialized receptors that recognize molecular patterns such as double stranded RNA duplexes—indicative of viral replication—are potent triggers of the innate immune system. Although their activation is beneficial during viral infection, RNA transcribed from endogenous mobile genetic elements may also act as ligands potentially causing autoimmunity. Recent advances indicate that the adenosine deaminase ADAR1 through RNA editing is involved in dampening the canonical antiviral RIG-I-like receptor-, PKR-, and OAS-RNAse L pathways to prevent autoimmunity. However, this inhibitory effect must be overcome during viral infections. In this review we discuss ADAR1's critical role in balancing immune activation and self-tolerance.
Space Food Experiences: Designing Passenger's Eating Experiences for Future Space Travel Scenarios

Given the increasing possibilities of short- and long-term space travel to the Moon and Mars, it is essential not only to design nutritious foods but also to make eating an enjoyable experience. To date, though, most research on space food design has emphasized the functional and nutritional aspects of food, and there are no systematic studies that focus on the human experience of eating in space. It is known, however, that food has a multi-dimensional and multisensorial role in societies and that sensory, hedonic, and social features of eating and food design should not be underestimated. Here, we present how research in the field of Human-Computer Interaction (HCI) can provide a user-centered design approach to co-create innovative ideas around the future of food and eating in space, balancing functional and experiential factors. Based on our research and inspired by advances in human-food interaction design, we have developed three design concepts that integrate and tackle the functional, sensorial, emotional, social, and environmental/ atmospheric aspects of “eating experiences in space”. We can particularly capitalize on recent technological advances around digital fabrication, 3D food printing technology, and virtual and augmented reality to enable the design and integration of multisensory eating experiences. We also highlight that in future space travel, the target users will diversify. In relation to such future users, we need to consider not only astronauts (current users, paid to do the job) but also paying customers (non-astronauts) who will be able to book a space holiday to the Moon or Mars. To create the right conditions for space travel and satisfy those users, we need to innovate beyond the initial excitement of designing an “eating like an astronaut” experience. To do so we can draw upon prior HCI research in human-food interaction design and build on insights from food science and multisensory research, particularly research that has shown that the environments in which we eat and drink, and their multisensory components, can be crucial for an enjoyable food experience.
Phenotypic and Genetic Predictors of Pathogenicity and Virulence in Flavobacterium psychrophilum

Flavobacterium psychrophilum causes bacterial cold-water disease (BCWD) in farmed rainbow trout (Oncorhynchus mykiss), with the multilocus sequence typing (MLST) clonal complex (CC) CC-ST10 accounting for the majority of outbreaks globally. The development of alternative strategies to antibiotic treatment of BCWD using bacteriophage-based control of F. psychrophilum, or virulence factors as targets for therapy, requires knowledge of the phage-sensitivity of outbreak strains and of universal traits contributing to their pathogenicity. To examine the association between virulence and both genetic (MLST sequence type (ST) and PCR-serotype) and phenotypic characteristics (adherence, antibiotic resistance, colony spreading motility, hemolytic and proteolytic activity), the median lethal dose (LD50) of 26 geographically disparate F. psychrophilum isolates was determined in rainbow trout. Furthermore, the in vitro sensitivity of the isolates against five bacteriophages was determined by the efficiency of plating (EOP). The tested F. psychrophilum isolates were mainly represented by CC-ST10 genotypes (22 out of 26) and showed up to 3-log differences in LD50 (8.9 × 103 to 3.1 × 106 CFU). No association between MLST ST and virulence was found because of a high variation in LD50 within STs. All identified serotypes (0, 1, and 2) were pathogenic, but ten most virulent isolates belonged to serotype 1 or 2. Isolates of high (LD50 < 105 CFU), moderate (LD50 = 105–106 CFU), and weak (LD50 > 106 CFU) virulence were similar in phenotypic characteristics in vitro. However, the only non-virulent CC-ST10 isolate was deficient in spreading motility and proteolytic activity, indicating that the characteristics are required for pathogenicity in F. psychrophilum. Univariate correlation studies found only non-significant associations between LD50 and the measured phenotypic characteristics, and the multivariable analysis did neither reveal any significant predictors of virulence. The majority of isolates (16 out of 26) were sensitive to at least four bacteriophages, with up to a 6-log variation in the EOP. Most CC-ST10 isolates (16 out of 22) were sensitive to the examined phages, including 5 out of the 7 most virulent isolates represented by prevalent and antibiotic-resistant STs. Our findings suggest that control of BCWD using lytic phages or interventions targeting shared characteristics of pathogenic F. psychrophilum strains should be further explored.