Miracle-dz/UniFAR-FTUs huggingface dataset:
Head Pose Detection for a Wearable Parrot-Inspired Robot Based on Deep Learning

: Extensive research has been conducted in human head pose detection systems and several applications have been identiﬁed to deploy such systems. Deep learning based head pose detection is one such method which has been studied for several decades and reports high success rates during implementation. Across several pet robots designed and developed for various needs, there is a complete absence of wearable pet robots and head pose detection models in wearable pet robots. Designing a wearable pet robot capable of head pose detection can provide more opportunities for research and development of such systems. In this paper, we present a novel head pose detection system for a wearable parrot-inspired pet robot using images taken from the wearer’s shoulder. This is the ﬁrst time head pose detection has been studied in wearable robots and using images from a side angle. In this study, we used AlexNet convolutional neural network architecture trained on the images from the database for the head pose detection system. The system was tested with 250 images and resulted in an accuracy of 94.4% across ﬁve head poses, namely left, left intermediate, straight, right, and right intermediate.
Consumer Evaluations of Line Extensions: A Conjoint Approach

Line extensions have been a basis for strategic growth for many firms during the past decade. The viability of line extensions largely depends on how consumers perceive the new features of the extensions. This study examined how consumers differ in their evaluations of original products and line extensions in terms of behavioral characteristics, using an individual-level conjoint analysis. Of particular interest was to compare and contrast the effects of consumer characteristics on evaluations of line extensions with those of brand extensions. A within-subjects conjoint experiment was conducted which involved rankings of full profiles of original products and line extensions. The results showed that subjects' evaluations of the new features of line extensions were influenced by three behavioral factors: perceived brand strength, perceived typicality, and product usage. Theoretical and managerial implications of the results are discussed.
Nurses' Experience of the Early Identification of Depression in the Primary Care Setting of South Africa

The objective of this study was to explore and describe nurses' experience of the early identification of depression in the primary care setting of South Africa. A total of 55 female nurses participated in the study (50=black; 5=white). Data were collected through in-depth interviews and naïve sketches. Data were analysed using a descriptive method of open coding. Nurses' experiences were paradoxical in that they perceived both a disrupted and a positive interactional flow between the national health care, community, family and client. Their experiences were also influenced by context of practice—especially the inequitable distribution of resources. Lack of awareness about depression, community and family involvement, and nurses' personal awkwardness towards mental health issues remains a challenge.
Density of states simulations of proteins

A modified version of a recently introduced algorithm that calculates density of states by performing a random walk in energy space has been proposed and implemented to study protein folding in a continuum. A united atom representation and the CHARMM19 [B. R. Brooks, R. E. Bruccoleri, B. D. Olafson, D. J. States, S. Swaminathan, and M. Karplus, J. Comput. Chem. 4, 187 (1983)] force field are employed for these simulations. This method permits estimation of the density of states of a protein via a random walk in the energy space, thereby allowing the system to escape from local free-energy minima with relative ease. Unlike the earlier formulation that showed slow convergence for continuum simulations, this methodology is designed to achieve better sampling and faster convergence. The modified method is used to examine folding transitions of two peptides: deca-alanine and Met-enkephalin. Protein folding both with and without an implicit solvent (solvent accessible surface area model) has been studied to validate the usefulness of the proposed algorithm.
Food and Feeding Habits of Atya gabonensis from Lower River Benue in Northern Nigeria

The study investigated the stomach content of Atya gabonensis from lower River Benue in Nigeria from January 1998 to January 2000.The stomach analysis was carried out using frequency of occurrence and numeric methods. It was observed that the organism fed on algae, diatoms, insect parts and detritus, algae and detritus forming the most important food items. Algae constituted 61.9% of food item by number and 88.5% by occurrence. Detritus occurred in 79.1% of stomachs examined. Amongst the algae, Scenedesmus quaricauda was the most preferred, constituting 20.7% by occurrence and 37.9% by number, followed by spirogyra which constituted 17.8% and 23.9% by occurrence and number, respectively. The least eaten food item was insect parts. A. gabonensis can be said to be an omnivorous detrivore, its preference for food changing with season and size of the prawn with peak in July. West African Journal of Applied Ecology Vol. 13 2008: pp.77-82
Factors Affecting Student Perceptions of Learning in a Business Policy Game

A recent survey by Faria (1987) revealed that some 200- business games have been adopted by over 8,500 instructors in approximately 1,900 colleges having business programs. The broad use of simulations has spawned an extensive body of research into their effectiveness as pedagogical tools. (For a comprehensive review, see Greenlaw & Wyman, 1973, and Wolfe, 1985.) Although Fariaâ€™s survey also reported that business school deans and teachers using games rated their effectiveness highly compared with other teaching methodologies, most researchers point out that measuring learning and business gamings effects on learning is an extremely difficult task. Wolfe (1985), Greenlaw and Wyman (1973), and Miles et.al.(l986) have noted that the difficulty of stating generalizations about the effectiveness of simulations stems from the variety of classroom practices and differences among games. In this study we have analyzed the impact of a number of variables on student perceptions of simulation usefulness in learning business policy course material. These factors may be organized into four categories: course structure, game parameters, student characteristics, and student effort and performance. Weohave confined our investigation to an analysis of student perceptions for the following reason: Inasmuch as perceptions of effectiveness include components of satisfaction and motivation, and inasmuch as motivation is important to learning, perceived learning may have some correlation Co actual learning.
SEMANTIC WAYFINDING FOR INFRASTRUCTURE PROJECTS

In the age of Big Data and citizen engagement, access to relevant information on demand is becoming an operational requirement. This trend is also realized in infrastructure projects and will become increasingly important as more municipalities embrace the open data movement. In an effort to utilize the wealth of available data, governments and third parties have developed software systems that facilitate the aggregation of data with wide success along with some limitations. To overcome some of these limitations in the context of infrastructure construction, this paper advocates for the incorporation of semantic wayfinding mechanisms; methods that mine paths through which a user can find information relevant to a subject of interest. This information should also be presented at a respective level of detail and should depend on the profile of each user which can be extracted explicitly or implicitly. The benefits of this form of content filtering can be realized through facilitating the navigation of technical documents by the public and to a certain degree, the other way through examining community-generated content by project staff. This paper reviews a number of wayfinding techniques and emphasizes the need for incorporating explicit and implicit user profiles in the selective application of these techniques. A synthesis of the techniques is provided through an examination of their assumptions and limitations. Finally, the paper will present examples of cases in which this application of wayfinding in infrastructure projects can enhance the experience of planners, designers, engineers and members of the community.
Did tax-transfer policy change New Zealand disposable income inequality between 1988 and 2013?

This paper investigates the role tax and transfer policies changes played in the increase in disposable income inequality over the 1988-2013 period. Utilising the Household Economic Survey (HES) and a behavioural microsimulation model (Treasuryâ€™s TAXWELL-B) the relative contributions of tax policy and changes in various sociodemographic characteristics (age, highest educational attainment, and employment status) to the change in inequality are estimated. Tax and transfer policy changes are found to have had a major role in the increase in income inequality, accounting for around a third of the observed increase. Furthermore, non-policy related changes in the employment distribution also increased income inequality. However, increases in tertiary educational attainment and the proportion of workers in their prime earning years were both factors that were reducing income inequality over this same period. With these factors pushing in separate directions, this research also indicates that there are significant unobserved determinants of the rise in income inequality that cannot be attributed to the static role of tax-transfer policy, age, education, or employment status distributions.
Genetic Relationship Between Days Open and Days Dry With Milk Yield in a Herd of Holstein Friesian Cattle

Summary A total of 2897 lactation records of Holstein Friesian cattle from the fields of Dena Farm in Egypt from 1987 to 1993 were used to study relationships of days open and days dry with milk production. The effect of month and year of calving, sire and cow within sires were also investigated. Month of calving, year of calving, sire and cow within sires significantly influenced milk production. Including DO and DP as a polynomial of second degree of production were significant. The partial linear and quadratic regression coefficients of 305 day milk yield on DO and DP were significant, being 7.59 ± 0.40 kg/d and -0.37 ± 0.00 kg/d2, respectively for DO and -9.37±0.54kg/d and 0.02±0.00kg/d2, respectively for DP. Therefore, reduction of DO and DP are a desirable goal of dairymen. Heritability (h2) estimates for 305 day milk yield, DO, DP were 0.13 ± 0.05, 0.00 and 0.00, respectively. Adjustment of lactation milk yield for DO will not involve genetic influence on milk yield.
A massive dissolved inorganic carbon release at spring tide in a highly turbid estuary

In September 2003, the highly turbid Loire estuary (France) showed drastic oxygen depletions (down to 11% of saturation), high pCO2 (up to 3740 μatm) and high CO2 fluxes (280 ± 100 mmol.m−2.d−1). A rapid rise in Dissolved Inorganic Carbon (DIC) was observed when the tidal amplitude increased from 3.8 m to 5.8 m. In two days, average concentrations in the 0.1–25 salinity range increased by 106 ± 17 μmol. kg−1 for DIC, by 80 ± 14 μeq. kg−1 for Total Alkalinity (TA) and by 684 ± 142 μatm for pCO2. In parallel, oxygen decreased by 65 ± 12 μmol. kg−1. These changes in concentrations were attributed in majority to a massive fluid mud resuspension in the estuarine turbidity maximum. At spring tide, this DIC input was 30% higher than the river input. When averaged over the neap‐spring period, resuspension contributed to only 10% of the atmospheric CO2 flux from the estuary, but to 60% to the net TA production in the estuary.
The Management of Dementia in Primary Care

High-quality in-home primary healthcare services are pivotal for people with dementia and their families to avoid inappropriate hospital admissions and prema‐ ture nursing home placement, which are associated with worsened quality of life of both the person with dementia and his family and financial burden. This chapter gives a qualitative overview of the evidence on the efficacy and effectiveness of different primary care models covering all the stages of the disease from the onset of the disease until the more advanced stages with a particular focus on the management of behaviour and psychological disorders. A detailed description is provided of the primary care model of the Province of Modena for people with dementia and their families in which the general practitioner plays a central role both in the diagnostic process and in follow-up and closely collaborates with firstand second-level healthcare professionals. This “collaborative care” network is able to address timely the continuously changing needs of these frail people and their caregivers, including acute severe behavioural and psychological disorders. A 10-item composite indicator of appropriateness of care by the general practitioner has been recently introduced to further improve the quality of care within primary care.
An EMT-DP Hybrid Simulation Method of AC-DC Power System

In order to take the advantage of electromagnetic transient (EMT) simulation method and dynamic phasors simulation method, a new hybrid simulation of AC-DC system, electromagnetic transient dynamic phasors hybrid simulation of AC-DC system, where dynamic phasors model and traditional EMT models are applied to build the model of HVDC system and AC system respectively is proposed. The location of the interface, the mutual equivalent method between AC and DC system in the proposed hybrid simulation and the simulation process of the proposed hybrid simulation are investigated. Simulation results show that the proposed electromagnetic transient dynamic phasors hybrid simulation of AC-DC systems are effective and acceptable. KeywordsAC-DC system; dynamic phasors; electromagnetic transient; hybrid simulation
Earthquake‐induced gravitational potential energy change in the active Taiwan orogenic belt

SUMMARY The Philippine Sea Plate is converging against the Eurasian Plate near Taiwan at a velocity of 7‐8 cm yr −1 ; this has caused the Taiwan orogenesis and induced abundant earthquakes. In this study we examine the corresponding change of gravitational potential energy (�GPE) using 757 earthquakes from the earthquake catalogue of the Broadband Array in Taiwan for Seismology (BATS) from 1995 July to 2003 December. Our results show that the variation of
Improving spatial resolution of interferometric bathymetry in multibeam echosounders

Most multibeam echosounders used in seafloor mapping use the interferometry method for bathymetry measurement, based on the zero‐crossing of the phase difference between two sub‐arrays. In this approach, only one sounding is computed per formed beam, and the spatial resolution is linked to the beam footprint extent. Using the whole content of the phase difference signal vs time makes it possible ideally to get a bathymetry data sampled at the very resolution of the digitised signal. A trade‐off is however to be found between this resolution improvement and the increase in the measurement noise. The performances of interferometric bathymetry are presented, together with the constraints of the resolution‐accuracy trade‐off, and a presentation of a high‐resolution algorithm for interferometric bathymetry applicable to multibeam systems. This is illustrated by results obtained on a wreck, showing the remarkable improvement achievable in resolution over a real target. The potentialities for this method are pro.
An efficient way of bait-fishing for tunas recently developed in Senegal

Resume A new fishing method has been developed during the last twelve years by the tuna baitboats fishing seasonaly (from July to December) in the area of Senegal and Mauritania (West Africa, 12 to 21' N). Three species of tunas, yellowfin, skipjack and bigeye tunas are caught in similar proportions in this fishery. This method has produced a dramatic increase in the baitboat catch per unit of effort (CPUE). The paper describes this new fishing method where the boat is permanently running associated with a very large tuna school, night and day, during several months. A team of two baitboats exploits each school, operating one after the other. The biological and environmental characteristics of this associated-school fishing are analyzed from detailed log book data. The daily positions of each school and the catches by species and sizes are analyzed for each boat and school. The dynamics of the association between the tunas and the baitboat and the dynamics of this exploitation (i.e. input and output of tunas in each school) are discussed in relation to the peculiarities of the local environment (mainly sea surface temperature and bathymetry). The reasons for the increased CPUE in this associated-school fishing are analyzed. Further researches should be conducted in order to better understand how fish behaviour relates to this fishing mode and in order to estimate the potential local yield of the fishery, if increased fishing effort is exerted in the future.
Comparing Antibacterial and Antioxidant Activity of Annatto Dye Extracted by Conventional and Ultrasound-Assisted Methods

Background: Annatto dye is used extensively in food industry that has antibacterial and antioxidant properties. Objectives: Aim of this paper was comparison of the antibacterial and antioxidant properties of annatto dye was extracted by conventional and ultrasound-assisted extraction (UAE) methods. Materials and Methods: In this experimental study minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of annatto dye against the bacteria were determined by agar dilution method. Antioxidant activity of annatto dye was evaluated by DPPH method. Results: Gram-positive bacteria show more sensitivity to annatto dye than Gram-negative bacteria. Annatto dye extracted by UAE has more antibacterial and antioxidant activity compared to conventional method. Bacillus subtilis and Escherichia coli have the highest and the lowest sensitivity to annatto dye, respectively. Conclusions: Annatto dye extracted by UAE showed a bactericidal effect against Salmonella enteritidis, however the dye extracted by conventional method the opposite is true.
An Application Programming Interface For Developing Distributed Algorithm Along With Proposed Meta Language Concept

: ―In computer science, an application programming interface (API) is an interface that defines the ways by which an application programming may request services from libraries. ‖[7] Libraries of a programming language are the list of all classes and interfaces, along with their fields, constructors and methods that are part of that language. For example, java is an object oriented programming language which has a rich set of built-in classes and interfaces packaged in the API also known as java API[7]. Therefore, a programmer can easily borrow built-in classes or interfaces to use the fields, constructors and methods of those classes and interfaces in his or her application and is able to be free from the hazards of thinking the implementation details of those functions and constructors and writing it down to the application he or she is developing. An API [7] also helps a programmer to write a short and compact code, to save time of program and application development and to produce a quality code having readability and understandability than the code without having the application of API. Almost all the modern programming languages come up with the rich set of APIs. The basic difference between an API and library lies in the fact that while ―API reflects the expected behaviour, library is an actual implementation of this set of rules‖. [7] On the other hand, ―the relation with framework is based on several libraries implementing several APIs but instead of normal use of an API, the access to the behaviour built into the framework is made possible by extending its contents with new classes and interfaces‖. [7] This paper presents a component of framework[4] where the API for the distributed algorithms has been plugged into the framework so that a programmer can get services from the built-in classes and interfaces for easily understandable, compact and faster program development. Here a concept of meta language consisting of very simple constructs has been introduced in order to make the language user friendly.
Modeling Consumers' Hypermarket Choices: Practical Implications for Global Hypermarket Retailers

Hypermarkets are facing an increasingly turbulent environment and intensive competitions that call for the adoption of a strategic approach to management. The research reported in this paper has attempted to be methodological and empirical contributions to the study of the spatial competitive interaction of hypermarkets and the rest of store formats. The purpose is to identify the possible and attractive competitive strategies which could be implemented by every hypermarket and to evaluate the relative impact of them. We construct a multinomial logit model which estimates how effective the competitive strategies proposed by this study could be for creating the greatest consumers’ utilities. We estimate the model, first, for the sample as a whole and second, by market segment, with the objective of comparing model fit and predictive efficiency. The research findings show that, among all, Carrefour attracts more consumers than others, and the strategy, Gas Ticket, appears to have the greatest positive impact for hypermarket consumers, followed by Online Order and Delivery, Ordnance Bench Mark (OBM) Products, and Lottery Tickets strategies. Moreover, the strategy estimations are different for different market segments, which indicate that the preference structures and the sensitivity to changes in competitive strategy perceived values vary among segments. Implications and insights are discussed.
Econometric implications of non-exact present value models

One of the most commonly used and, at the same time, rejected models in nance and macroeconomics is the exact present value model (PVM), where a variable Yt is expressed as the expected value at time t of the sum of discounted future values of another variable Xt. This paper extends the PVM by making it non-exact (NEPVM) in a simple way, allowing us to study situations where there are transitory deviations from the exact PVM. The proposed NEPVM is derived from similar non-arbitrage or equilibrium conditions the exact PVM comes from and it can explain some stylized economic facts that cannot be explained by exact PVMs. The rejection of the exact PVM produced by the standard volatility and cross-equation restriction tests is not enough to reject the NEPVM. We present the new variance bounds and crossequation restrictions implied by the NEPVM and we show how to test them. The paper nishes by analyzing empirically the cases of stock prices and dividends, and short- and longterm interest rates. For these cases we are unable to reject a simple NEPVM. This fact, together with the theoretical results contained in the paper, suggests that the proposed NEPVM could be compatible with some of the empirical finndings in the literature.