SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Innovation associate knowledgeable in blockchain technologyfor real time economy platform business development

DLI Ltd operates right now in a synergetic business landscape where the development of national information society and the client assignments collide in a manner profitable for the company. DLI Ltd need to complement its expertise with knowledge in blockchain technology for secured Real Time Economy in cloud, both in general for providing applications to any client and for piloting the DEEP, Digital Enterprise Ecosystem Platform business plan on open innovation with a client in the FinTech. The plan targets to leverage the business plan further within the client’s global organization, one of the world's largest settlement system for domestic and international securities transactions.
The employment of the Innovation Associate will base on the mutually developed and agreed Personal Career Development Plan which will be first time discussed during the recruitment phase together with the Training Plan suggested by the company. The personnel of DLI Ltd offer an innovative working environment in a team of professionals in production design and software development as well as ecosystem builders, innovators and people with a high academic degree familiar with practicalities in science. Street smart business out of latest in science meets at this knowledge intensive SME. The Innovation Associate is free to use her or his full potential to contribute to the client assignments and to the tasks in the workplan, as well as to create a career of her or his own at DLI Ltd on the generated Innovation Plan in long run.
As the DLI Ltd’s LifeEngine platform is applicable in any field and DLI Ltd is highly skillful in ecosystem building with stakeholders of the full operational chain, DLI Ltd has appealed clients in demand of latest and future Internet technologies in several fields. This offers the Innovation Associate the possibility and freedom to cowork with most advanced commercial solutions.
Rapid Applications Development Techniques: A Critical Review

There are different product maintenance and support techniques. These previous techniques do not solve user/clients bugs, issues and enhancements effectively and efficiently. Scrum is being used now a day as a quick, flexible and holistic methodology to develop software. In Scrum projects there is the much customer involvement is included which help to develop a user oriented product. Users can change their requirements in Scrum. Many techniques have been proposed for product maintenance and support. However, in this paper, there have been a detailed literature review of existing product maintenance techniques and also presented a new proposed model and technique for the product maintenance by using Scrum methodology. This Scrum based model for maintenance is designed and based on the analysis of client request types and severity (priority). In our approach, The Session attendees (Scrum Master, Product Owner and Team) choose that bug, issue or enhancement first which has an urgent type or higher priority request and resolves it then select low priority request or non-urgent requests and facilitates the clients in timely manner. In this way this proposed model works effectively and defiantly to meet the customer’s demand. A comprehensive study on product maintenance and support has been carried out which adds to the current practices in the scrum. We found that maintenance phase of the scrum has been given less attention in the existing literature. In view of this, we have made an attempt to propose a novel model that focuses on the maintenance phase of scrum.
Transafrican network development

The TANDEM project aims to create favourable conditions for WACREN (West and Central African Research and Education Network) to be able to participate in the forthcoming AfricaConnect project extension and to draw maximum benefit from it, and thereby to ensure WACREN’s integration into the global Research and Education networking community. TANDEM long-term goal is to make it possible for researchers and academics to contribute with their peers around the world to the socio-economic development of the West and Central African Region. To this end, TANDEM is structured around three objectives:

1. Enhance the dialogue between WACREN and policy makers, international donors and regulating authorities, in order to promote connectivity and obtain political and financial support;
2. Enhance the dialogue between WACREN, end users, national research and education networks (NRENs) and research and tertiary education institutes, in order to identify the global e-infrastructure services expected by the end users;
3. Build a permanent stakeholder dialogue by creating favourable conditions for the implementation of three main communities: the “policy makers, donors and regulating authorities” community; the NRENs community; the “end users” community.

TANDEM provides for the implementation of a virtual collaboration platform in order to support the continuity of communities beyond the end of the project, and to enable monitoring of the e-infrastructure services. In order to respond to the growing demand from African research communities, TANDEM is focused on three key research thematic topics: health, food security, and environment; and on the specific needs of these areas. The consortium was carefully selected to provide a balanced mix of research and e-infrastructure organisations, with diverse experiences in academic issues, research and innovation management. The consortium also brings consolidated experience in implementing and managing large research and education networks
Reference frames for Bell inequality violation in the presence of superselection rules

Superselection rules (SSRs) constrain the allowed states and operations in quantum theory. They limit preparations and measurements hence impact upon our ability to observe non-locality, in particular the violation of Bell inequalities. We show that a reference frame compatible with a particle number SSR does not allow observers to violate a Bell inequality if and only if it is prepared using only local operations and classical communication. In particular, jointly prepared separable reference frames are sufficient for obtaining violations of a Bell inequality. We study the size and non-local properties of such reference frames using superselection-induced variance. These results suggest the need for experimental Bell tests in the presence of superselection.
Using periodic orbits to quantitatively describe and control 3d fluid turbulence.

Fluid turbulence is of key importance in engineering: it controls the drag on aircraft, is a major contributor to unwanted energy dissipation in pipelines, yet mixing of chemicals relies on it. Despite its importance, our understanding of turbulence is incomplete. Controlling turbulent flows, which would lead to significant efficiencies for industrial applications, remains a challenge. 

The recent identification of unstable non-chaotic solutions of the Navier-Stokes equations suggests a promising framework to study the phenomenon. Here turbulence is viewed as a chaotic walk through a forest of exact solutions in the infinite-dimensional state space of the flow equations. While this dynamical systems approach helps rationalizing features of the transition to turbulence, it has so far failed to deliver on the promise it carried since the identification of deterministic chaos in the mid 20th century: To provide a predictive description of turbulence in terms of exact solutions and to act as a rational basis for controlling flows. 

The major road block to fulfilling the promise is that we are missing tools to identify enough dynamically relevant exact solutions. These are time-periodic non-chaotic solutions that allow us to express statistical properties of turbulence as a weighted average over periodic orbits. Owing to the exponential error amplification in a chaotic system, periodic obits for 3D flows have been almost inaccessible. Instead, research has focused on isolated steady solutions that resemble features of the flow but are dynamically less informative. 

We will remove the road block and construct extensive libraries of periodic orbits for two canonical 3D flows, turbulent convection and channel flow. By combining variational methods with machine learning tools we will automatically compute periodic orbits of the 3D Navier-Stokes equations. Using periodic orbit theory, we will describe and control flow properties including heat transport and turbulent drag.
Benchmarking DFT methods with small basis sets for the calculation of halogen-bond strengths

In recent years, halogen bonding has become an important design tool in crystal engineering, supramolecular chemistry and biosciences. The fundamentals of halogen bonding have been studied extensively with high-accuracy computational methods. Due to its non-covalency, the use of triple-zeta (or larger) basis sets is often recommended when studying halogen bonding. However, in the large systems often encountered in supramolecular chemistry and biosciences, large basis sets can make the calculations far too slow. Therefore, small basis sets, which would combine high computational speed and high accuracy, are in great demand. This study focuses on comparing how well density functional theory (DFT) methods employing small, double-zeta basis sets can estimate halogen-bond strengths. Several methods with triple-zeta basis sets are included for comparison. Altogether, 46 DFT methods were tested using two data sets of 18 and 33 halogen-bonded complexes for which the complexation energies have been previously calculated with the high-accuracy CCSD(T)/CBS method. The DGDZVP basis set performed far better than other double-zeta basis sets, and it even outperformed the triple-zeta basis sets. Due to its small size, it is well-suited to studying halogen bonding in large systems.
(7165.24052017.112000056) G4F

L'IDEA ALLA BASE DEL PROGETTO ? PRINCIPALMENTE QUELLA DI IMPLEMENTARE UNA FILIERA PRODUTTIVA DI ARTICOLI MODA (BORSE) CHE SIA TOTALMENTE ECO-COMPATIBILE E TRACCIABILE, SIA PER QUANTO RIGUARDA LA COMPONENTE ?PELLE? CHE PER QUANTO CONCERNE LE COMPONENTI METALLICHE PRESENTI NELLE BORSE STESSE. IL PROCESSO DI IMITAZIONE DELLE GRANDI CASE DI MODA, MEGLIO NOTO COME ?FAST FASHION?, FACILE, VELOCE E POCO COSTOSO ESTREMAMENTE IN LINEA CON LA MENTALIT? DEGLI ?SHOPPER? DI OGGI, HA INEVITABILMENTE FATTO CRESCERE IN MANIERA ESPONENZIALE, NEGLI ULTIMI VENTI ANNI, L?IMPATTO AMBIENTALE DEL SETTORE DELLA MODA E DEL TESSILE, CHE GI? DI PER S? RAPPRESENTA LA SECONDA INDUSTRIA PI? INQUINANTE DEL MONDO, SECONDA SOLTANTO A QUELLA DEL PETROLIO (FONTE: EUROPE IN THE WORLD: THE GARMENT, TEXTILES &AMP;AMP; FASHION INDUSTRY). DALL'ACQUISIZIONE DELLE MATERIE PRIME, PASSANDO PER LA PRODUZIONE, FINO AD ARRIVARE ALLO SMALTIMENTO DEL PRODOTTO, L'IMPATTO AMBIENTALE DELLA FAST FASHION E DEL CICLO PRODUTTIVO DEI PRODOTT
Differential Threat Perceptions: How Transnational Groups Influence Bilateral Security Relations

This article addresses how transnational groups affect the security relationship between the states they reside in. I argue that this is determined by the differential threat perceptions of the host states. If the host states both consider the group to be a threat, the group is a shared problem and policy toward the group becomes an arena for cooperation for the two states. However, if one state views the group as a threat and the other does not, policy toward the group becomes an arena for conflict between them. I test this hypothesis with a comparative case study analysis of Turkey's relationships with the United States, Syria, and Iran vis-a-vis the Kurds after the United States’ invasion of Iraq in 2003.
Comparison of Diffusion Tensor Imaging-Derived Fractional Anisotropy in Multiple Centers for Identical Human Subjects

The fractional anisotropy (FA) is calculated by using diffusion tensor imaging (DTI) with multiple motion probing gradients (MPG). While FA has become a widely used tool to detect moderate changes in water diffusion in brain tissue, the measured value is sensitive to scan parameters (e.g. MPG-direction, signal to noise ratio, etc.). Therefore, it is paramount to address the reproducibility of DTI measurements among multiple centers. The purpose of this study was to assess the inter-center variability of FA. We studied five healthy volunteers who underwent DTI brain scanning three times at three different centers (I-III), each with a 1.5 T scanner having a different MPG-schema. Then, we compared the FA and eigenvalue from the three centers measured in seven brain regions: splenium of corpus callosum (CCs), genu of corpus callosum (CCg), putamen, posterior limb of internal capsule, cerebral peduncle, optic radiation, and middle cerebellar peduncle. At the CCs and CCg, there was a statistical difference (p<0.05) between center Iand center IIfor the same MPG-directions. Furthermore, at CCs and CCg, there was a statistical difference (p<0.05) between center II and center III for different MPG-directions. Conversely, no statistical differences were found between center I and center III for the different MPG-directions for all regions. These results indicate that the FA value was affected by the MPG-schema as well as by the MPG-directions.
Design of a Novel Fault Tolerant XOR Structure in Quantum Dot Cellular Automata

Quantum Cellular Automata (QCA) is one of the main substitutes for CMOS technology and it is used in implementation of different systems. Manifest features including high speed and low power consumption increase the subject of the QCA in research. However, the extensive possibility of occurrence of defects and appropriate physical implementation in the QCA is one of fundamental challenges in using such technology. In this study, basic details about nanotechnology and related discussions to the fault tolerant in this field are presented. In addition, by investigation on several XOR gates, two novel XOR gates are proposed, these gates were designed by using fault tolerance tile structures. Afterwards, for determining the optimum gate, the tolerance rate of these gates against missing cell defects were investigated. Simulation results showed that proposed gates have more tolerance against missing cell defects.
Lubricating cartilage: exploring the relation between lubrication and gene-regulation to alleviate osteoarthritis

Can we exploit insights from the remarkably lubricated surfaces of articular cartilage, to create lubricants that may alleviate osteoarthritis (OA), the most widespread joint disease, affecting millions? These, succinctly, are the challenges of the present proposal. They are driven by our recent finding that lubrication of destabilised joints leads to changes in gene-regulation of the cartilage-embedded chondrocytes to protect against development of the disease. OA alleviation is known to arise through orthopedically suppressing shear-stresses on the cartilage, and a central premise of this project is that, by reducing friction at the articulating cartilage through suitable lubrication, we may achieve the same beneficial effect on the disease. The objectives of this project are to better understand the origins of cartilage boundary lubrication through examination of friction-reduction by its main molecular components, and exploit that understanding to create lubricants that, on intra-articular injection, will lubricate cartilage sufficiently well to achieve alleviation of OA via gene regulation. The project will examine, via both nanotribometric and macroscopic measurements, how the main molecular species implicated in cartilage lubrication, lipids, hyaluronan and lubricin, and their combinations, act together to form optimally lubricating boundary layers on model surfaces as well as on excised cartilage. Based on this, we shall develop suitable materials to lubricate cartilage in joints, using mouse models. Lubricants will further be optimized with respect to their retention in the joint and cartilage targeting, both in model studies and in vivo. The effect of the lubricants in regulating gene expression, in reducing pain and cartilage degradation, and in promoting stem-cell adhesion to the cartilage will be studied in a mouse model in which OA has been induced. Our results will have implications for treatment of a common, debilitating disease.
COMPRESSOR STALL DIAGNOSTICS AND AVOIDANCE

A pressure sensor (12) is located in the compressor stage of a gas turbine engine (10) to provide a pressure signal (PR1) that shows the compressor flow characteristics. The pressure signal (PR1) is applied to a bandpass filter (16) with roll-offs above and below N2. The difference between the filter output and a stored value for the pressure signal is integrated, and compressor bleed valves (18) are opened if the integral exceeds a stored threshold. The health of a compressor stage is determined by analyzing the magnitude of compressor pressure variations at N2 while accelerating the engine and by comparing the magnitude with values obtained from a compressor with a known stall margin.
DISTANCE SENSOR

In one embodiment, a method for calculating a distance to an object includes projecting a plurality of projection beams from each of a plurality of projection points, wherein the plurality of projection points is arranged around a lens of an image capturing device, and wherein at least two beams of the plurality of projection beams are parallel to each other, capturing an image of the field of view, wherein the object is visible in the image and a projection pattern generated by the at least two beams of the plurality of projection beams is also visible in the image, and calculating the distance to the object using information in the image.
Political knowledge as teamwork: the academy of zamość print shop (1594-1627)

This research project investigates the collective effort behind the development of modern political science through a case study unique in Europe: the editorial activity of the Academy of Zamość. This academy was one of the most distinguished schools of the early modern era and its primary mission was to train the Polish nobility for political life. It also had its own print shop where teachers jointly collaborated in the preparation of texts for printing. My analysis will consider the period from the foundation of the Academy in 1594 up to the destruction of the printworks by fire in 1627, during which time policy was largely influenced by its founder, the political and military leader Jan Zamoyski (1542-1605).
To avoid misinterpretations common to mono-disciplinary approaches, I will adopt an inter/multidisciplinary method, integrating the history of political thought, of ideas and of printing. I will also employ interpretative tools of the sociology of knowledge which have never before been applied to the cultural life of a Renaissance academy. 
I will use this innovative method to explore:
1. the Zamość publications and the academic curricula of their creators;
2. the political issues most frequently addressed in the publications, and their relation to the teaching activities;
3. the interactions between the various working groups and individuals in the print shop.
My project is the first to produce a wide-ranging analysis of a fundamental topic in the history of early modern culture, since this Academy predated by several decades similar experiences elsewhere. This proposal also meets the Work Programme training objectives in the acquisition of new (transferable) skills and a considerable enhancement of professional maturity. Finally, my research will be widely disseminated, delivering a monograph, online research tools, articles, and presentations in Poland and abroad, contributing to raise awareness about the collective production of knowledge among scholars.
Neural network using Bayesian algorithm for estimation of petroleum reservoir

Purpose – This paper is concerned with the estimation of reservoir parameters in the presence of noise and outliers using neural network (NN) and Bayesian algorithm. The paper aims to discuss these issues. Design/methodology/approach – Outlier detection is of great importance to prediction of time series data. A reliable predictive methodology is proposed based on NN and Bayesian algorithm to efficiency estimates of the parameters of a petroleum reservoir. This strategy is applied to estimate the parameters of Marun reservoir located in Ahwaz, Iran utilizing available geophysical well log data. Findings – For an evaluation purpose, the performance and generalization capabilities of Bayes-ANN are compared with the common technique of back propagation (BP). Practical implications – The experimental results demonstrate that the proposed hybrid Bayes-NN algorithm is able to reveal a better performance than conventional BP NN algorithms. Originality/value – Helped oil and gas companies to estimation of petrole...
El turismo comunitario como apuesta de diversificación en destinos sol y playa. Caso de la comuna ancestral de Ligüiqui. Manta - Ecuador

La actividad turística ha sido uno de los rubros económicos mayormente afectados debido a la nueva normalidad ocasionada por la presencia del SARS COVID 19. Los destinos de sol y playa comúnmente catalogados como turismo masivo, debido a los efectos de la gentrificación generada en sus territorios, han sido negativamente observados por los visitantes bajo la nueva normalidad. El puerto de Manta en Ecuador ha sido un destino caracterizado por atraer flujos de turistas que concurren a disfrutar de sus extensas playas, en la actualidad la realidad ha cambiado y su mirada se ha puesto al desarrollo de sus recursos naturales y culturales en zonas rurales. Encabezada por comuna ancestral de Ligüiqui, junto con Pacoche y San Lorenzo, se busca la posibilidad de implementar propuestas sostenibles orientadas a la inclusión de la comunidad para diversificar el turismo en la zona. La presente investigación está basada en la aplicación de la metodología Investigación – acción – participativa, junto con herramientas de observación como fichas de caracterización, inventario y entrevistas abiertas, en conjunto con la georreferenciación de puntos de interés `para el desarrollo de la actividad turística en las comunidades rurales. Se identifican recursos naturales y culturales de interés, se registran establecimientos de servicios de hospedaje y alimentación, se ilustra a través de mapas la ubicación geográfica de las comunidades. Por último se propone la implementación de los senderos mirador y arqueológico, junto con un modelo de gestión para potenciar el desarrollo turístico rural mediante la creación de un Centro Turístico Comunitario (CTC).