Miracle-dz/UniFAR-FTUs huggingface dataset:
Virtual Employee Implementation Using Temporal Case-based Reasoning

This paper discusses the implementation of the virtual employee that implements the function of automatic processing of issues submitted to the software maintenance department. This task is currently relevant and a variety of virtual employees are being introduced in the different areas, since their use allows to automate typical operations, reduce response time and free up human resources for more complex tasks. For the implementation of this system, modified case-based reasoning method based on temporal constraint satisfaction problem (TCSP) was proposed. This method allows to take into account temporal dependencies and model the history of the events occurring, which allows to describe the dynamics of the system behavior that led to the system failures or incorrect behavior. For comparison of numerical parameters, classic Euclidean metric was used. For estimating the measure of proximity of text parameters of cases, modification of TF-IDF measure was developed. The proposed modification allows to improve the quality of the classification, because it allows to take into account information on the contribution of the words not only in a separate case but in the entire case base. The paper describes a prototype of developed virtual employee that is used in the process of maintaining the automatic payment terminal software. At the same time, it allows not only to work on the principle of request-response, but also to integrate with various systems, interact with people and line up in business processes.
Influenza A H 5 N 1 Replication Sites in Humans

subtype H5N1 disease in humans is not well defined. In mammalian experimental models, H5N1 influenza is a disseminated disease. However, limited previous data from human autopsies have not shown evidence of virus dissemination beyond the lung. We investigated a patient with fatal H5N1 influenza. Viral RNA was detected by reverse transcription–polymerase chain reaction in lung, intestine, and spleen tissues, but positive-stranded viral RNA indicating virus replication was confined to the lung and intestine. Viral antigen was detected in pneumocytes by immunohistochemical tests. Tumor necrosis factor-α mRNA was seen in lung tissue. In contrast to disseminated infection documented in other mammals and birds, H5N1 viral replication in humans may be restricted to the lung and intestine, and the major site of H5N1 viral replication in the lung is the pneumocyte.
Micropollutants in wastewater irrigation systems: Impacts and perspectives

Climate change and the increasing global population pose a severe threat to the availability of freshwater in the world. Over consumption of water and deteriorating water quality are problems that should be addressed in order to ensure water availability for the coming decades. In this context, the increasing presence of micropollutants in water has shown to cause detrimental impact on water quality, given the negative disturbances that they can cause on human health and on the environment. Thus, it is important to study and quantify the presence of micropollutants in water bodies and also in regenerated wastewater based irrigation systems.
SEISMIC DESIGN OF CONCRETE WALLED BUILDINGS

Review of earthquake damage to reinforced concrete (RC) walled buildings and damage sustained by slender RC walls subjected to cyclic lateral loading in the laboratory suggests these components commonly exhibit compression-controlled flexural failure. In the laboratory, compression-controlled failure of walls typically results in rapid strength loss; in the field, compression-controlled failure could be expected to result in undesirable building performance and unacceptable collapse risk. To investigate the earthquake performance of walled buildings, a numerical model was developed to enable accurate simulation of compression-controlled flexural failure. The earthquake performance of a series of idealized ACI Code-compliant walled buildings ranging in height from six to thirty stories was assessed. The results of this work indicate the potential for shear-controlled failure in walled buildings designed using ASCE 7 (2010) procedures. The results of numerical simulation were used to develop 1) capacity-design procedures for shear, 2) recommendations for flexural demands for use in design to ensure that inelastic flexural response is isolated to well-defined locations, and 3) strengthreduction factors to achieve desired collapse risk. EARTHQUAKE RESPONSE OF SLENDER CONCRETE WALLS A review of earthquake damage to concrete walled buildings and of damage to slender concrete walls subjected to cyclic lateral loading in the laboratory indicates the potential for compression-controlled flexural failure, characterized by crushing of concrete and buckling of longitudinal reinforcement in the compression regions of the wall. In the laboratory, concrete crushing and reinforcement buckling typically occurs simultaneously and is followed by rapid strength loss. Figure 1 shows compression damage, characterized by concrete crushing and buckling of longitudinal reinforcement, to walls in modern buildings with poorly (Figure 1a and 1b) and well confined (Figure 1c) boundary elements following the recent 2010 Chile and 2011 Christchurch earthquakes. A review of earthquake damage to walled buildings around the world suggests that the damage patterns shown in Figure 1 are not unique. Figure 2 by Birely (2012) shows the percentage of walled buildings exhibiting various damage modes as determined from review of post-earthquake reconnaissance reports; compression-damage is the most commonly observed damage mode. Finally, the data in Figure 3 show that the potential for compression-controlled failure is observed also in the laboratory, with almost 50% of wall specimens of varying configurations (planar, barbell, T-shaped, and C-shaped) tested in the laboratory under cyclic lateral loading exhibiting compression-controlled failure. 1 EDG, Inc. Houston, TX, United States, josh.pugh@gmail.com 2 Associate Professor, University of Washington, Seattle, WA, United States, lowes@uw.edu 3 Associate Professor, University of Washington, Seattle, WA, United States, delehman@uw.edu
The Long Term Regulation Model as the tool in SME Energy Enterprise value management – initial research results presentation

The research contribute to the development of the theory of tariffing through the develop-ment of empirical measures to limit the negative impact of state intervention in sector of SME energy companies operating in the regulated market and the development of the use of econometric models in the process of enterprise value creation. The model will also con-tribute to the development of tools catalogue under the concept of SME VBM.
Single layer hexagonal boron nitride films on Ni(110)

Hexagonal boron nitride was grown on nickel (110) by chemical vapor deposition of borazine. The h-BN layers on Ni(110) were investigated by low energy electron diffraction (LEED) and angular resolved photoemission (ARUPS). LEED shows a (1 × 6) and a (7 × 5) super structure. ARUPS from the σ bands of h-BN indicates single layer h-BN, but two different orientations of the h-BN Brillouin zones with a relative weight of 6:1. This is in line with lock in energy arguments, which consider coincidence lattices between nickel top atoms and nitrogen atoms. [DOI:10.1380/ejssnt.2006. 410]
Multivariable iterative learning control: analysis and designs for engineering applications

Iterative Learning Control (ILC) enables high control performance through learning from measured data, using limited model knowledge, typically in the form of a nominal parametric model. Robust stability requires robustness to modeling errors, often due to deliberate undermodeling. The aim of this chapter is to outline a range of design approaches for multivariable ILC that is suited for engineering applications, with specific attention to addressing interaction using limited model knowledge. The proposed methods either address the interaction in the nominal model, or as uncertainty, i.e., through robust stability. The result is a range of techniques, including the use of the structured singular value (SSV) and Gershgorin bounds, that provide a different trade-off between modeling requirements, i.e., modeling effort and cost, and achievable performance. This allows control engineers to select the approach that fits best the modeling budget and control requirements. This trade-off is demonstrated in case studies on industrial printers. Additionally, two learning approaches are presented that are compatible with, and provide extensions to, the developed multivariable design framework: model-free iterative learning, and ILC for varying tasks.
Working Papers 2015 / 01 Measuring Design and its Role in Innovation

This working paper sums up the main findings of an OECD project aiming to provide an evidence basis for focusing efforts to improve the measurement of technological and non-technological forms of business innovation, with particular focus on the role of design. The paper reviews a broad range of novel design-related measures, indicating their advantages and limitations in terms of policy relevance and insights. The analysis of design provides a valuable test-case for assessing the robustness of the overall framework for measuring innovation as proposed in the OECD/Eurostat Oslo Manual. This report identifies a number of areas for potential development in future revision, focused on the role of users and the implementation of the definition of innovation and innovation activities. It also identifies a range of design concepts based on an informal consultation with the design expert community. This report illustrates a number of findings arising from the first-time use of a set of experimental and optional questions on design implementing a “ladder-type” model of design which describes levels of sophistication and integration of the design function within the firm. Cognitive testing and analysis of the microdata from a large and representative sample of Danish firms shows a high degree of respondent acceptance of the experimental questions and supports their predictive validity vis à vis a number of hypotheses on the use of design and a series of innovation and economic outcomes potentially associated to it.
Forecasting Foreign Tourist Arrivals to India Using Time Series Models

This study aims to compare various quantitative models to forecast monthly foreign tourist arrivals (FTAs) to India. The models which are considered here include vector error correction (VEC) model, Naive I and Naive II models, seasonal autoregressive integrated moving average (SARIMA) model and Grey models. A model based on combination of single forecast values using simple average (SA) method has also been applied. The forecasting performance of these models have been compared under mean absolute percentage error (MAPE) and U-statistic (Ustat) criteria. Empirical findings suggest that the combination model gives better forecast of FTAs to India relative to other individual time series models considered here.
Effective ANN Topologies for Use as Genotypes for Evaluating Design and Fabrication

PETERSON, JOHN R. Effective ANN Topologies for use as Genotypes for Evolutionary Design and Invention. Department of Computer Science, May, 2017. ADVISOR: John Rieffel There is promise in the field of Evolutionary Design for systems that evolve not only what to manufacture but also how to manufacture it. EvoFab is a system that uses Genetic Algorithms to evolve Artificial Neural Networks (ANNs) which control a modified 3d-printer with the goal of automating some level of invention. ANNs are an obvious choice for use with a system like this as they are canonically evolvable encodings, and have been successfully used as evolved control systems in Evolutionary Robotics. However, there is little known about how the structural characteristics of an ANN affect the shapes that can be produced when that ANN controls a system like a 3d-printer. We consider the relationship between certain structural characteristics of an ANN and the ability of that ANN to produce complex geometric shapes by controlling a 3d-printer. We develop an understanding of shape complexity for 2d-shapes in a simulated 3d-printer in order to use Genetic Algorithms to optimize ANNs with fixed structures to produce complex outputs and assess the relationship between topologies of ANNs and the systems success in producing complex outputs under evolutionary optimization.
Melt Pool Evolution Study in Selective Laser Melting

In selective laser melting (SLM) additive manufacturing, the completion of the entire scanning cross-sectional area of each layer build is consisted of many smaller scanning patches. Hence, the scanning length in each path may be too short to reach the melt pool quasi-steady state, thus, affecting the melt pool geometry, which is also effected by the process parameters. It is also known that the melt pool size correlates with the build part microstructures and properties. In this study, temperature simulations, finite-element based, of SLM for In718 is applied to track the thermal response during scanning of an individual patch. The results show that the process parameters determine the melt pool evolution, which affects the actual molten pool size in the regions defined by the raster scanning length. Manipulating the scanning path length and process parameters, based on the melt pool evolution information, may help to achieve a desired melt pool size for part quality controls.
econstor Make Your Publications Visible . A Service of zbw

In this paper, we develop heterogeneous agent models with equilibrium unemployment to study the optimal taxation and labour wedge. We find that the the presence of profits plays an important role in the determination of both optimal tax policy and labour wedge. JuddChamley optimal zero capital tax result can still hold in the model without profits. The optimal labour wedge is zero in the long run. This results in welfare gains of all agents and there is no conflict of interests between agents. But the Benthamite government chooses to subsidise the capital income in the long run in the model with profits due to the presence of productive public investment. The resulting labour wedge is non-zero which generates welfare losses of workers despite welfare gains of capitalists. The government also faces a trade-off between effi ciency and equity in this model.
Single-shot secure quantum network coding on butterfly network with free public communication

Quantum network coding on the butterfly network has been studied as a typical example of quantum multiple cast network. We propose a secure quantum network code for the butterfly network with free public classical communication in the multiple unicast setting under restricted eavesdropper’s power. This protocol certainly transmits quantum states when there is no attack. We also show the secrecy with shared randomness as additional resource when the eavesdropper wiretaps one of the channels in the butterfly network and also derives the information sending through public classical communication. Our protocol does not require verification process, which ensures single-shot security.
The Development of E-Learning Media for Audio Video Department in Vocational High School

This research aims to determine the learning management of audio video department in vocational high school and to develop suitable e-learning media for audio video students that meet the criteria of validity, practicality and effectiveness. This research focuses on developing e-learning media, which following the ADDIE model. The results show that: (1) the development of instructional media e-learning on a set of skills audio video Vocational High School is carried out through several stages, i.e., need analysis, design, development, implementation, and evaluation, (2) e-learning media has fulfilled validity criteria covering the aspects of the application, display, and content. The developed e-learning media is categorized as practical since all aspects of learning is in the very good category. The results also show that e-learning media is effective; it can be seen from the students’ activities in the learning process both categories, and generally respond well to medium learners e-learning developed.
3 D Imaging With Metamaterials

Here we present a new kind of 3D display using near zero index (NZI) metamaterial in front of a 2D display. The virtual distance of a pixel is controlled by the refractive index of the metamaterial. As near zero index metamaterials are highly dispersive, a minor shift in the frequency can cause a big change in the virtual distance, hence enabling the control of depth with fine frequency tuning. We derive closed form expression for the virtual distance of a point source in case of lossless isotropic materials and provide a procedure to calculate virtual distance for arbitrary material with given material parameters. A double negative metamaterial working in the microwave regime is demonstrated as proof of the concept.
International Carbon Conference 2018 , ICC 2018 , 10 – 14 September 2018 , Reykjavik , Iceland Carbon mineral storage in seawater : Ikaite ( CaCO 3 6 H 2 O ) columns in Greenland

District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand – outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations. © 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and Cooling.
Motivations , benefits and barriers experienced by micro , small and medium sized enterprises within Sweden when implementing an environmental management system

Purpose Research claims that many environmental management systems (EMSs) are tailored to fit the structure of larger organisations. As a result, SMEs can experience difficulties when implementing an EMS. The purpose of this paper is to identify the main motives, benefits and barriers that have been experienced within micro, small and medium-sized enterprises (SMEs) in Sweden when adopting either an Environmental Diploma or an ISO 14001 environmental management system. Design – A research project using a questionnaire based methodology compares the experiences of three groups of participants: one group of SMEs certified with an Environmental Diploma, one group of SMEs certified with an ISO 14001 system and one group of ‘large’ companies certified with an ISO 14001. A questionnaire was used to identify if the motive, benefits and barriers experienced differ between different environmental management systems and also between SMEs and ‘large’ organisations. Findings The results show that the same motives and barriers for implementation have been identified by the three groups of participants. However there was a slight difference in the perceived benefits. The results identified that companies with an ISO 14001 in SMEs did experience more barriers than larger companies with an ISO 14001. In addition to this, the research has indicated that those with an ISO 14001 in SMEs experienced more benefits compared to SMEs with an Environmental Diploma. Practical implications The report recommends that measures in environmental evaluation need to be improved to identify comprehensively the benefits experienced. Furthermore, the report recommends practical measures that can be developed to assist SMEs in the implementation process of EMS.
Chapter 5 Exclusive and Partial Enteral Nutrition in Crohn ’ s Disease

Exclusive enteral nutrition (EEN) is a well-establised primary therapy in active pediatric Crohn’s disease (CD). EEN promotes mucosal healing, restores bone mineral density, and improves growth. On the contrary, treatment of active CD with corticosteroids (CS) has a strong negative impact on the linear growth and bone density. Therefore, EEN is recommended as a first-line therapy in children with active CD. EEN has been evaluated in a number of clinical studies including randomized controlled trials. While metaanalyses of adult studies suggest superiority of CS, pediatric studies have shown that EEN is at least as effective as CS in inducing remission. The mechanisms by which EEN suppresses inflammation are not yet fully elucidated. Hypotheses include improvement in nutritional status, decreasing of the inflammatory cascade mechanism, limiting luminal antigen exposure, improving intestinal permeability, and modification of intestinal microbiota.
The Effects of Distributed Packet Losses on LT Codes

LT codes are a relatively new class of codes (a sub-class of Fountain Codes) in information theory. One application of LT codes is as a packet erasure code. LT codes are a rateless code and are found to be more computationally efficient than other FEC erasure codes. We investigate the effect of LT codes in the face of distributed packet loss with the goal of obtaining results that could apply to real-time streaming media applications. Our results in this paper show that with the use of LT codes packet losses on a network lead to an overall effective drop in mean throughput with no information loss. This property coupled with computational efficiency shows promise for real-time media streaming applications.
Effect of grafting on tomato development and productivity in greenhouse conditions

The effect of grafting on tomato development and productivity was studied in greenhouse conditions in Laboratory of Vegetable Biology and Pathology. Durinta and Petula varieties used as scions and grafted, by tube grafting method, on Eldorado, Maxifort and Integro, which used as rootstocks. Controls non-grafted were used in parallel. Four months after the culture, vegetative and productive parameters were measured on each cultivated tomato plant. Thus, the total number of leaves, floral bouquets, fruit bunches and fruits were determined. Moreover, the fresh and dry biomass of the fruits and the vegetative parts (g plant -1 ) were measured. A positive effect on vegetative development and a positive effect on productivity were observed when "Durinta" and "Petula" were grafted successively. The Eldorado rootstock gave the better results with the two scions. Grafting is therefore considered an important technique for tomato production when the choice of rootstock and scion is perfectly precise.