Miracle-dz/UniFAR-FTUs huggingface dataset:
FACTORS AFFECTING THE SUSTAINED USE OF CHATBOTS: AN ORGANIZATIONAL PERSPECTIVE

Artificial intelligence innovations including conversational user interfaces have become widely adopted within the banking sector, as they present numerous advantages such as cost reduction, increased efficiency and quicker servicing of customers. However, these benefits will materialize only if organizations ensure the sustained use of these technologies. Hence, identifying the main factors that drive the sustained use of these services is critical to assess new technology adoption given that a very high number of IT implementations might fail. Researchers have relied on technology acceptance models to analyze the adoption of these new technologies within organizations, however little is known about the factors that ensure their sustained use. Using a qualitative methodology based on in-depth interviews with employees of a leading bank operating in developing economies, the study addresses this shortcoming by investigating the factors that contribute to the sustained use of conversational user interfaces, taking chatbots as a case study. Findings reveal that eight main internal and external factors are essential to promote the sustained use of chatbots, the most prominent of which are: a positive human-technology relationship, a favorable corporate culture, and the technology’s high perceived efficiency.
Health Effects of Mineral Dusts

Pneumoconiosis is the result of the long-continued inhalation of dusts and it depends on the interaction between the man and the cloud to which he is exposed. The health effects of dusts, especially silica dust exposure have been since Egyptians had constructed the pyramids in ancient times. Subsequently, many works, including miners, milers, quarry workers, sandblasters, tunnel drivers, are occupationally exposed to mineral dusts. These workers may develop pneumoconiosis and in some instances, malignant neoplasms, particularly lung cancer, as a result of such exposures.Both quantity and quality of mineral dusts in the lungs show significant correlation with the degree of damage from pneumoconiosis. So mineralogical techniques require in pathological studies and in estimation of the airborne dusts in working places.Mineralogy has played an important role in both branches of the protective procedure. This lecture presents the knowledge on lung dust, cytotoxicity and fibrogenetic activity of minerals and control procedures for pneumoconiosis from pont of mineralogist.
The effect of cardiac rehabilitation exercise training on left ventricular remodelling in patients with recent myocardial infarction

II Acknowledgements. III Table of contents. V List of tables. X List of figures. XI Definition of terms. XIII CHAPTER 1 General introduction.1 1.1 Study context. 2 1.2 Thesis Overview . 4 CHAPTER 2 Review of literature . 5 2.
Shallow water bathymetry from WorldView-2 stereo imagery using two-media photogrammetry

ABSTRACT Two-media photogrammetry appears to be a useful technology for mapping shallow water depth. The objective of this paper is to explore the feasibility of shallow water bathymetry using satellite two-media photogrammetry. This paper presents a two-media photogrammetry technique for WorldView-2 stereo multispectral imagery. In this method, near-infrared band is used for sun glint elimination. A combination of Scale Invariant Feature Transform and Semi-Global Matching algorithm is adopted for dense stereo matching. Rational Function Model is applied for raw Digital Elevation Model generation and the water surface elevation is determined by interpolating water edge elevation. Finally, the approximate refraction correction model is adopted in the water region to correct the vertical coordinate offsets. Our experimental results of Ganquan Island and Zhaoshu Island show that a reasonable depth estimate with relative error less than 17% and 14% can be obtained for the water depth range between 5 and 20 m, and the root-mean-square error are 2.09 m and 1.76 m, respectively. However, less accurate estimate is found for the very shallow water depth range between 0 and 5 m. The overall accuracy of satellite two-media photogrammetry is at the same level with the traditional multispectral-based model for bottom depth retrieval.
Selective maintenance process optimization based on an improved gravitational search algorithm, from the perspective of energy consumption

Maintenance is indispensable for ensuring that multi-component systems successfully complete the next mission. Maintenance activities require an enormous amount of energy consumption in engineering problems. For selective maintenance, many studies focus on the trade-off between system reliability and other resources, such as time and cost. The enormous energy consumption of maintenance processes has been ignored in previous research. In this work, a novel energy consumption model considering the actual maintenance process is proposed. Moreover, system reliability is added to the optimization model as a crucial constraint, which makes the optimization process of energy consumption meaningful. The selective maintenance process is a complex combinatorial optimization problem. Hence, a hybrid differential evolution and gravitational search algorithm (DGSA) is proposed to solve the selective maintenance problem considering energy consumption. In addition, several experiments with DGSA, particle swarm optimization and differential evolution are designed to demonstrate the effectiveness of the proposed algorithm.
Asynchronous Filtering for Delayed Markovian Jump Systems via Homogeneous Polynomial Approach

In this article, the asynchronous filtering scheme for Markovian jump systems (MJSs) subjected to time-varying delays and infinite distributed delays, is investigated based on the homogeneous polynomial approach. First, sufficient conditions are proposed to ensure that the filtering error system is exponentially stabile in mean square and satisfies a given performance index simultaneously. Second, the asynchronous filter is synthesized for MJSs with certain transition probability. Moreover, one so-called homogeneous polynomial method is developed to design the asynchronous filter in the case of uncertain transition probabilities. During the analysis, a homogeneous polynomial matrix is introduced in the parameter-dependent Lyapunov function that can reduce the conservatism of the results. Finally, a numerical example is given to support the feasibility and effectiveness of the proposed theory.
Effect of vertical flow exchange on microbial community distributions in hyporheic zones

The effect of the vertical flow direction of hyporheic flux on the bacterial community is examined. Vertical velocity change of the hyporheic zone was examined by installing a piezometer on the site, and a total of 20,242 reads were analyzed using a pyrosequencing assay to investigate the diversity of bacterial communities. Proteobacteria (55.1%) were dominant in the hyporheic zone, and Bacteroidetes (16.5%), Actinobacteria (7.1%) and other bacteria phylum (Firmicutes, Cyanobacteria, Chloroflexi, Planctomycetesm and unclassified phylum OD1) were identified. Also, the hyporheic zone was divided into 3 points – down welling point, mixed welling point and up welling point – through vertical hydraulic gradient, and the bacterial communities were compared and analyzed. When the species diversity index was additionally analyzed based on the pyrosequencing data, richness and diversity of species were observed to be highest in the order of mixed welling point >down welling point >up welling point. Hence, quantitative changes and characteristics of the hyporheic zone were analyzed to have an effect on the resident bacterial communities.
Data-Driven Model Reduction of Monotone Systems by Nonlinear DC Gains

In this paper, we develop data-driven model reduction methods for monotone nonlinear control systems based on a nonlinear version of the dc gain. The nonlinear dc gain is a function of the amplitude of the input and can be used to evaluate the importance of each state variable. In fact, the nonlinear dc gain is directly related to the infinity-induced norm of the system as well as a notion of output reachability. Given the dc gain, model reduction is performed by either truncating not-so-important state variables or aggregating state variables having similar importance. Under such truncation and clustering, monotonicity and boundedness of the nonlinear dc gain are preserved; moreover, these two operations can be approximately performed based on simulation or experimental data alone. This empirical model reduction approach is illustrated by an example of a gene regulatory network.
Evaluating Secrecy Capacity for In-Body Wireless Channels

The next generation of implanted medical devices is expected to be wireless, bringing along new security threats. Thus, it is critical to secure the communication between legitimate nodes inside the body from a possible eavesdropper. This work assesses the feasibility of securing next generation multi-nodal leadless cardiac pacemakers using physical layer security methods. The secure communication rate without leakage of information to an eavesdropper, referred to as secrecy capacity, depends on the signal-to-noise ratios (SNRs) of the eavesdropper and legitimate channels and will be used as a performance metric. Numerical electromagnetic simulations are utilized to compute the wireless channel models for the respective links. These channel models can be approximated with a log-normal distribution which can be used to evaluate the probability of positive secrecy capacity and the outage probability of this secrecy capacity. The channels are modeled for three different frequency bands and a comparison between their secrecy capacities is provided with respect to the eavesdropper distance. It has been found that the positive secrecy capacity is achievable within the personal space of the human body for all the frequency bands, with the medical implant communication systems (MICS) band outperforming others.
Urban challengers weaving their networks: between the ‘right to housing’ and the ‘right to the city’

Abstract The article applies a field theory approach to further the analysis of grassroots movements in an urban context. By employing the theoretical framework of Strategic Action Fields merged with the concept of norm entrepreneurs and combined with an idea of networks of challengers, two parallel but different social movement networks in Poland are analyzed. In this comparison the authors discuss differences in strategy and political – discursive – opportunities mobilized within respective fields between the more established housing movement and an emerging Polish urban renewal movement in the light of on-going change in the urban realm. By comparing the networks of challengers in both fields and simultaneously trying to identify the dominant institutional logics within each, we test the usefulness of the Strategic Action Field approach.
Efeitos da irrigação na produção e no desenvolvimento do cafeeiro na região oeste da Bahia

Irrigation redesigned the distribution of the cultivation of coffee in Brazil, and upon this, new studies in water consumption and in its relationships with production and growth in coffee became necessary. The objective of this work was to evaluate the effects of irrigation on the production and growth in coffee irrigated by drip irrigation, in the West region of Bahia. For this, a trial was carried out in the farm Cafe do Rio Branco, located in Barreiras – BA. The experiment was caried out with adult plants of coffee of the variety Catuai Vermelho, approximately 3.5 years old and set up in a randomized block design, with five treatments and four replicates. The treatments corresponded to 75, 85, 100, 125 and 150% of the irrigation depth and were calculated by the Irriplus software. It was evaluated the productivity, water use efficiency (WUE), vegetative development, sieve classification, as well as the yield and maturation of fruits. A significant effect of the irrigation depth in yield, WUE and maturation of fruits (green and cherry) was observed at the end of four consecutive harvests. The estimated maximum productivity (60 sc ha-1), was obtained with 129% of the irrigation depth and a maximum WUE (5.7 kg mm-1) obtained with 75%. As to maturation, they were significant only for green (19.7%) and cherry fruits (67.5) with the irrigation depths of 119 and 121%, respectively. There was no significant effect of the different irrigation depths in the vegetative development, sieve classification and yield of fruits.
Law Enforcement Seat Belt Use: Impact of Policy and Phenomena on Use

Law Enforcement Seat Belt Use: Impact of Policy and Phenomena on Use by Zachary Loken MA, St. Cloud State University, 2013 BS, Winona State University, 2011 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Public Policy and Administration Walden University December 2019 Abstract Studies show that seat belt use by law enforcement officers is estimated to be at 50%, well below the national average. The purpose of this study was to explore what may be leading to reduced seat belt use by law enforcement patrol officers while also determining if different types of policies effect the level of seat belt usage by this population. The theoretical framework used in this study was Shafritz, Ott and Jang’sStudies show that seat belt use by law enforcement officers is estimated to be at 50%, well below the national average. The purpose of this study was to explore what may be leading to reduced seat belt use by law enforcement patrol officers while also determining if different types of policies effect the level of seat belt usage by this population. The theoretical framework used in this study was Shafritz, Ott and Jang’s theory of organizational culture and change. This quantitative study was conducted using a casual, quasi-experimental design; the research questions focused on understanding what phenomena may be occurring resulting in the lower seat belts by U.S. police patrol officers and what types of policies are resulting in increased seat belt usage by this population. Participants in this research consisted of 38 officers from police departments with patrol divisions. These departments were selected from the Phoenix Metropolitan Area. The research indicated that officers may have false perceptions in regard to seat belt use. Trainings should be delivered to debunk some of these myths while also providing practical seat belt use training. The results of this study can be used to develop better policies to increase seat belt usage by law enforcement officers, which would likely reduce the injuries and death as a result of auto accidents. Decreased injuries and deaths of law enforcement officers would lead to decreased insurance and workers’ compensation claims that would reduce the tax and financial burden faced by citizens and
Ophthalmology: A Short textbook

The didactic concept of this book, grounded on years of teaching experience, considers all aspects of training: - it allows easy studying through clear yet comprehensive coverage, - easy memorizing by a well-structured presentation, and - easy application through a clear distinction between symptoms and diagnosis, tabular presentation of major symptoms, and extensive indexing. A role model for a pocket textbook designed for the study of the field of ophthalmology, extensively illustrated with high-quality color photographs and clear explanatory drawings.
Comparative the performance of robust linear regression methods and its application

This research aims to apply the robust estimation method with actual data. Mestimation, quantile regression and Random Sample Consensus (RANSAC) are considered. The result show that, when no outlier, the parameter estimate using Mestimation, quantile regression and random sample consensus (RANSAC) produce a very similary. When the rate of outliers increasing is also conducted the parameter estimate using RANSAC method more different from Mestimation and quantile regression. The RANSAC method is more robust to outlier than the Mestimation and quantile regression method. Which can be clearly seen that, The RANSAC methods are more robust against the outlier than Mestimation and quantile regression ,because in parameter estimation do not include the outlier into the model, only inliers are used to run the model.
Investigation and optimization of thermal shock effects on the properties and microstructure of Nanoclay-Glass Fiber Reinforced Epoxy Composites

In the present work, ‘Nanoclay-Glass Fiber Reinforced Epoxy Composites (NGFRECs)’ are produced by hand lay-up process with a varying weight percentage of glass fiber and nanoclay. NGFRECs undergo two variety of thermal shock conditions. As prepared composites and thermal shock conditioned specimens are tested for tensile and flexural strength according to ASTM standards. To optimize the responses variables, ‘Design of Experiment (DOE)’ based on the full factorial design (33 = L27) is used. MINITAB 18 software is used for design and analyses. Results revealed that increasing glass fiber weight percentage and nanoclay has enhanced the flexural and tensile strength, whereas thermal shock conditions declined aforesaid strengths. The failure mode of the NGFREC as disclosed from SEM images include any of the following combinations, fiber pullout, rupture of the matrix, fiber-matrix de-bonding, delamination, matrix crazing, initiation and propagation of micro-cracks.
Resistance to coal inequalities and the possibilities of a just transition in South Africa*

ABSTRACT Coal mining and burning are among the most destructive activities on the planet, and a major driver of environmental inequality in South Africa. This article suggests that, despite heavy constraints, initiatives involving resistance to coal are building a ‘counter-power’ which challenges inequality, generates solidarity, and is potentially infused by imaginative visions of another world beyond coal. Following the ‘social power’ approach this vision could, with deeper connections between three sites of resistance to coal – organised labour, mining affected communities and environmental justice organisations – cohere into a vision of a ‘just transition’. This could embed the anti-coal struggle in a social movement for an alternative development path to challenge deepening poverty and inequality.
Comprar Pilates For Hip And Knee Syndromes And Arthroplasties + Online Access | Beth A. Kaplanek | 9780736092241 | Human Kinetics

Tienda online donde Comprar Pilates For Hip And Knee Syndromes And Arthroplasties + Online Access al precio 36,18 € de Beth A. Kaplanek | Brett A. Levine | William I. Jaffe, tienda de Libros de Medicina, Libros de Fisioterapia y rehabilitacion - Fisioterapia general
Previsão da inflação de alimentos no domicílio usando dados meterológicos

Food inflation is the most unpredictable component of CPI and the one that mostly affects people’s lives, especially the poor. One of the reasons for food inflation volatility is its dependence on weather variations. In developing countries, all these three facts are more pronounced: First, food prices are more volatile due to the higher prevalence of fresh over processed foods; Secondly, fresh foods are more susceptible to weather variations not only because they are fresh, but also because production is usually less technological than that of processed foods; Finally, in developing countries, food-at-home represents a higher share of the already limited household budget. This has two significant consequences, the weight of food-at-home inflation is larger in developing countries CPI, and it is more difficult for people to accommodate food price increases. Therefore, we research whether meteorological data can help forecast food-at-home inflation. We study the case of Brazil, a developing country with rich historical daily weather data and with a reliable monthly inflation index published 24 times per year. We retrieved data for the last 18 years. As method, we use the lasso and Random Forest because they handle well high dimensional models. All our estimations are pseudo-out-of-sample, and we use, as benchmark, a direct estimated AR with lag order selected by BIC. Using a validation set, we choose to use climate normals averaged over the last 30 and 90 days. Our results show that the weather data improve forecasts when compared to the benchmark for each of the 1to 7-month horizons considered. On average over the horizons, the ratio to benchmark of the Root Mean Squared Error (RMSE) in the holdout set was 0.70 for the lasso model and 0.73 for the Random Forest model. Additionally, we use our forecasts of food-at-home inflation to forecast headline inflation. We find that, again, we could improve forecasts for all seven horizons with both models. In the holdout set, the average RMSE ratio to benchmark for the lasso was 0.87, and for the Random Forest, 0.91. Our findings suggest that weather data might substantially improve inflation forecasts in developing countries.
A lonely endeavour: clinical nurse leadership and the older unpopular patient in community settings

Rationale for the Study: High quality care is high on the national agenda together with the centrality of clinical nurse leadership to achieve this The issue of the unpopular patient in nursing, as someone nurses do not enjoy caring for, is important, because when it occurs, the prejudice negatively impacts the quality of nursing care. Yet the concept of the unpopular patient has been rarely studied, and the specific experience of clinical nurse leaders, who are said to set the climate and tone of the care setting, has not previously been explored. Aim of the study: To explore the lived experience of clinical nurse leaders leading a team caring for an older patient perceived as unpopular in community nursing settings. Methodology/Methods: A Heideggerian hermeneutic approach was taken. Data was gathered using in-depth semi-structured audio recorded interviews with eleven female clinical nurse leaders. Findings: Five themes which contributed to the whole interpretation; “Knowing the Unpopular Patient”, ”Being Faithful”, ”Betwixt and Between”, ”Joined at the Hip” and ”Growing into Leadership”. The visible meanings of the experience included moral distress and moral courage, and the hidden meaning was the loneliness the clinical nurse leaders seemed to experience when trying to prevent, or address, the development of the older unpopular patient. Implications for practice and research; NHS organisations need to be aware that clinical nurse leaders may feel distressed and lonely as a result of trying to create a culture of quality care and dignity in difficult circumstances. Original contribution to knowledge: The unpopular patient also exists in community nursing settings, and importantly, clinical nurse leaders can experience moral distress and loneliness in response to the attitudes and behaviours of their staff team as the 'wounds of clinical nurse leadership'.