Miracle-dz/UniFAR-FTUs huggingface dataset:
On the autopilot design for a quadrotor during landing phase

The attitude controller and the navigation system of the quadrotor during landing phase are designed to realize the precision soft landing under external disturbance. Firstly, the mathematical model of the quadrotor with external disturbance is established based on the small angle assumption. Secondly, the quadrotor attitude controller based on L1-SMC theory is designed to resist the external disturbance. Finally, the navigation system of the quadrotor during landing phase is designed based on the improved Tao theory, and the simulation are carried out for the quadrotor attitude controller and landing phase navigation strategy. Simulation results show that the designed attitude controller can resist the external disturbance and has strong robustness and good tracking performance. The quadrotor can achieve a precise soft landing.
Diagnosis of Partial Demagnetization in Permanent Magnet Synchronous Machine using Wavelet Packet Transform

Demagnetization is a common fault that threatens the permanent magnet machine’s health. The main purpose of this paper is to estimate demagnetization severity in the PM machines to monitor the level of magnet health and prevent the spread of fault to other components of the machine. In this paper, a time-frequency detection algorithm has been designed based on a signal-based method called wavelet packet transform. The purpose of this algorithm is to estimate a straight line using least square in a new plane for evaluating the fault severity. The ability of this method has been tested on a 3 kW simulated synchronous linear generator in finite element method software and an experimental 1 kW radial flux permanent magnet synchronous machine. In addition, by applying this method to the experimental machine, it was determined that this method has a proper ability in different types of permanent magnet synchronous machines with varying speeds.
11 The Principle of Autonomy in Palliative Care: The Moldavian Perspective

Advancing medical technology has made it possible for many people to live longer than ever before. However, when the possibility of curing patients no longer exists, care should not be discontinued, but rather should shift to comforting the patients and their families. This type of care, labeled palliative care, is defined by the World Health Organization (WHO) as “an approach that improves the quality of life of patients and their families facing the problems associated with life-threatening illness, through the prevention and relief of suffering by means of early identification and impeccable assessment and treatment of pain and other problems, physical, psychosocial and spiritual. ”1 Palliative care aims to improve the quality of life of patients. Good quality of life is usually related with control of symptoms and avoidance of treatment side effects, but it is more than that. While defining this concept, it is necessary to encompass the individual’s (patient) perspective on biological comfort, social and psychological well-being, as well as spiritual integrity. Thus, any palliative intervention requires a focus on the person whose quality of life is at stake, because the description of quality of life is best made “in individual terms, and depends on present lifestyle, past experience, hopes for the future, dreams and ambitions. A good quality of life can be said to be present when the hopes of an individual are matched and fulfilled by experience. ” (Calmen 1984, 124–5). In other words, quality of life designates the subjective perception of one’s life, measured in the context of personal experience and expectations, as there is no obvious general standard for it. Two different patients could have entirely different views of the best quality of life, even if they have the same illness. Thus, the satisfaction or contentment of patients in terms of end-of-life care (among others) will depend on how their personal expectations are fulfilled (Jackson et al. 2001). Accordingly, palliative care involves knowing the patient’s personal priorities, encouraging the patient’s realistic goals (appropriate to the medical condition), and helping the patient to reach these goals via physical, psychological, social, and spiritual interventions (Rummans and Bostwick 2000; Pantilat et al. 2008).
Online Video Data Analytics

This capstone project report covers the research and development of Smart Anomaly Detection and Subscriber Analysis in the domain of Online Video Data Analytics. In the co­written portions of this document, we discuss the projected commercialization success of our products by analyzing worldwide trends in online video, presenting a competitive business strategy, and describing several approaches towards the management of our intellectual property. In the individually written portion of this document, we discuss our investigation into smart anomaly detection techniques as well as pursue experiments using nonseasonal data to evaluate the effectiveness of the most viable techniques.
Demand for Intercity Bus Services Innovative Approach to Estimating Demand for Intercity Bus Services in Rural Environment

Because existing models have their limitations, there is a significant need for a model to estimate demand for intercity bus services, especially in rural areas. The general objective of this research was to develop an intercity mode choice model that can be incorporated into a statewide travel demand model to estimate demand for rural intercity bus services. Four intercity transportation modes were considered in the study: automobile, bus, rail, and air. A stated preference survey was conducted of individuals across the state of North Dakota, and a mixed logit model was developed to estimate a mode choice model. Results from the mode choice model showed the significant impacts of individual, trip, and mode characteristics on choice of mode. Gender, age, income, disability, trip purpose, party size, travel time, travel cost, and access distance were all found to have significant impacts on mode choice, and traveler attitudes were also found to be important. The study demonstrated how the mode choice model can be incorporated into a statewide travel demand model, and intercity bus mode shares were estimated for origin-destination pairs within the state. Alternative scenarios were analyzed to show how mode shares would change under different conditions or service characteristics. This study was conducted in the largely rural state of North Dakota, but results could be transferable to other areas with similar geographic characteristics.
THE MEDIATING ROLE OF JOB SATISFACTION ON THE RELATIONSHIP BETWEEN PERCEIVED ORGANIZATIONAL SUPPORT AND JOB PERFORMANCE

The objective of this research is to analyze the mediating effect of job satisfaction on the relationship between perceived organizational support (POS) and job performance for white-collar employees in an energy sector in İstanbul. The survey was distributed to 964 employees, while 700 valid questionnaires were included within the scope of the analysis. Exploratory factor analysis (EFA) was carried out to determine factor distribution, while confirmatory factor analysis (CFA) and reliability analysis were carried out to detect scale validities and reliabilities. Relations between scale variables were examined by a correlation analysis. Structural equation model (SEM) was constructed based on research hypotheses while the effect of POS on job satisfaction, the effect of job satisfaction on job performance and the mediating role of job satisfaction on this relation were tested through this model. All hypotheses are supported in this study.
The impact of leisure activities on older adults’ cognitive function, physical function, and mental health

Engagement in leisure activities has been claimed to be highly beneficial in the elderly. Practicing such activities is supposed to help older adults to preserve cognitive function, physical function, and mental health, and thus to contribute to successful aging. We used structural equation modeling (SEM) to analyze the impact of leisure activities on these constructs in a large sample of Japanese older adults (N = 809; age range 72–74). The model exhibited an excellent fit (CFI = 1); engaging in leisure activities was positively associated with all the three successful aging indicators. These findings corroborate previous research carried out in Western countries and extend its validity to the population of Eastern older adults. Albeit correlational in nature, these results suggest that active engagement in leisure activities can help older adults to maintain cognitive, physical, and mental health. Future research will clarify whether there is a causal relationship between engagement in leisure activities and successful aging.
Convolutional neural network transfer for automated glaucoma identification

Most current systems for automated glaucoma detection in fundus images rely on segmentation-based features, which are known to be influenced by the underlying segmentation methods. Convolutional Neural Networks (CNNs) are powerful tools for solving image classification tasks as they are able to learn highly discriminative features from raw pixel intensities. However, their applicability to medical image analysis is limited by the non-availability of large sets of annotated data required for training. In this article we present results of analysis of the viability of using CNNs that are pre-trained from non-medical data for automated glaucoma detection. Two different CNNs, namely OverFeat and VGG-S, were applied to fundus images to generate feature vectors. Preprocessing techniques such as vessel inpainting, contrast-limited adaptive histogram equalization (CLAHE) or cropping around the optic nerve head (ONH) area were explored within this framework to evaluate the improvement in feature discrimination, combined with both ℓ1 and ℓ2 regularized logistic regression models. Results on the Drishti-GS1 dataset, evaluated in terms of area under the average ROC curve, suggests the viability of this approach and offer significant evidence of the importance of well-chosen image pre-processing for transfer learning when the amount of data is not sufficient for fine-tuning the network.
Narrative Portfolios as Culturally Responsive Resistance to Neoliberal Early Childhood Teacher Education: A Case Study

ABSTRACT This article examines an early childhood preservice teacher narrative portfolio project created by teacher educators working in a public university in the United States. We explore preservice teachers’ and teacher educators’ experiences with the project across four cohorts using a case study design. Data include narrative vignettes and interviews with preservice teachers and teacher educators. Over the four years, the preservice teachers and teacher educators grew in their understandings of how to use culturally responsive pedagogy in their teaching; once in professional teaching positions, however, our graduates experienced significant challenges in navigating spaces for continued growth in this area of their practice. Teacher educators grew in their knowledge of how to support preservice teachers’ thinking related to culturally responsive teaching as a form of resistance to neoliberal education; however, continual narrowing of the assessment context influenced their abilities to scaffold the portfolio narratives.
Blended Learning and New Literacies: An Experience at the University of Barcelona (Spain), 2003-2005

The general use of ICT in higher education is currently facing a new challenge. Blended learning is not only about the promotion of on-line activities or computer enhanced learning: the challenge is to guarantee that these and other educational actions promote, through the use of digital technology, critical thinking skills in the learner. On one hand, learners, future citizens in a permanently changing society, are facing the need for new literacies, digital and media literacy. These concepts are both different and complementary: whereas digital literacy deals with mastering new tools, media literacy emphasises the sensible and responsible use of these tools, as they become increasingly available throughout society and in all walks of life. Media literacy is a higher order concept as it addresses various issues raised by the pervading influence of images and information, to which new technologies have given an unprecedented power of influence. On the other hand, the university and higher education in general has encountered a paradigm shift, in which the focus of attention has moved from the teaching process to the learning process, and where the student has become central. Therefore, digital technology must be accompanied by strategies that promote, among other aspects, self-regulated learning. Self-regulated learning involves the emotional, motivational and meta-cognitive aspects of learning, and allows learners to design their own learning process. This article analyses an experience at the University of Barcelona, Spain, in the field of Audiovisual Communication, where in a project involving 80 students audiovisual messages were analysed and produced around the topic of racism in the media. Digital technologies were used in the project and were central to it. It exemplifies the challenge to educate with digital technology in a blended model, to promote certain aspects of self-regulated learning, and to enhance critical thinking in relation to media.
Ultra-reliable flash memory systems for embedded applications

Based on its ruggedness, solid-state flash memory has been accepted as the basis of code and data storage in embedded systems applications for several decades. In more recent years, widespread mainstream acceptance of flash memory in consumer and enterprise applications has created tremendous downward cost pressures on flash memory manufacturers. The flash memory manufacturers have responded to these pressures by compromising on parameters that are most critical for flash memory’s continued suitability for code storage in embedded computer applications. In particular, data retention specifications have been decreased from ten years to as low as one year. This is unacceptable for embedded systems applications that depend on flash memory systems to provide reliable code storage for many years of service. Enabling flash memory systems to continue to reliably support code storage in embedded computer applications requires that wear induced by write requests be minimized. One means of reducing write requests is to reduce the impact of the overhead writes performed by the flash translation layer (FTL) that is used to manage the flash memory while presenting the overall flash memory system as a non-volatile rewritable block device. These overhead write activities may be represented with a measure of Write Amplification Factor (WAF) which is the amount of flash write requests scaled by the amount of write requests performed by the system hosting the
Innovation-supporting tools for novice designers: Converting existing artifacts and transforming new concepts

Generating a range of concepts is often a significant challenge for novice designers given their limited design experience and domain knowledge. This article develops a tool to support novice designers in formulating a design strategy for converting existing artifacts or mechanical objects into abstract representations. The app-based tool is aimed at supporting novice designers in (1) archiving existing artifacts, (2) converting artifacts into abstract representations for divergent activities, and (3) observing the kinematic movements of three-dimensional mechanical objects through augmented reality. An experiment conducted in 2014 investigated how the tool’s augmented reality function and the proposed strategy supported novice designers. A total of 13 second-year industrial design students generated 88 separate ideas. From 12 possible mechanical movements, four participants generated between 11 and 22 ideas each, while another five participants generated 1 or 2 ideas each. Each participant successfully proposed a concept that adapted the selected mechanism in response to a given problem in a given environment. Comparing pre- and posttest scores of each participant, 11 of 13 participants improved their knowledge of kinematic mechanisms. The results suggested that the use of the proposed tool and strategy has potential to help some novice designers explore new concepts and acquire related design knowledge.
Guidelines for Implementing the Dialog Event Package in User Agents

This document sets out guidelines for how Session Initiation Protocol (SIP) user agents (UAs) should implement the dialog event package in order to be usable in systems that implement end-point controlled call-control (EPCC) features. The guidelines are in addition to the basic requirements for dialog event package implementation in RFC 3265 and RFC 4235.
Motion instructions in surveys: Compliance, acceleration, and response quality

The increased use of smartphones in web survey responding did not only raise new research questions but also fostered new ways to research survey completion behavior. Smartphones have many built-in sensors, such as accelerometers that measure acceleration (i.e., the rate of change of velocity of an object over time). Sensor data establish new research opportunities by providing information about physical completion conditions that, for instance, can affect response quality. In this study, we explore three research questions: (1) To what extent do respondents accept to comply with motion instructions? (2) What variables affect the acceleration of smartphones? (3) Do different motion levels affect response quality? We conducted a smartphone web survey experiment using the Netquest opt-in panel in Spain and asked respondents to stand at a fix point or walk around while answering five single questions. The results reveal high compliance with motion instructions, with compliance being higher in the standing than in the walking condition. We also discovered that several variables, such as the presence of third parties, increase the acceleration of smartphones. However, the quality of responses to the five single questions did not differ significantly between the motion conditions, a finding that is in line with previous research. Our findings provide new insights into how compliance changes with motion tasks and suggest that the collection of acceleration data is a feasible and fruitful way to explore survey completion behavior. The findings also indicate that refined research on the connection between motion levels and response quality is necessary.
Influence of mobile network service quality on M-commerce adoption: a research model

The purpose of this paper is to identify the dimensions of mobile network service quality which influence the online customers for m-commerce adoption. This theoretical paper offers a conceptual framework for the mobile network (4G) by proposing six service quality dimensions and also took two mediating variables which also have their possible sub-dimensions. The identified mobile network service quality dimensions are speed, trust, satisfaction, security, privacy and cost. This framework builds on and is integrated with the TAM model. The proposed model was tested through pilot survey of 50 students of a university, who are using mobile for commercial transactions. Findings confirm that mobile network service quality positively influences m-commerce adoption in today's world, as people are more concerned about technologies which have better service quality dimensions. The study also reveals that the most preferred network is 4G LTE and mostly used m-commerce portals are Paytm, PhonePe, Amazon and Flipkart.
Spectral-Line Observations Using a Phased Array Feed on the Parkes Telescope

Abstract We present first results from pilot observations using a phased array feed (PAF) mounted on the Parkes 64-m radio telescope. The observations presented here cover a frequency range from 1 150 to 1 480 MHz and are used to show the ability of PAFs to suppress standing wave problems by a factor of ~10, which afflict normal feeds. We also compare our results with previous HIPASS observations and with previous H i images of the Large Magellanic Cloud. Drift scan observations of the GAMA G23 field resulted in direct H i detections at z = 0.0043 and z = 0.0055 of HIPASS galaxies J2242-30 and J2309-30. Our new measurements generally agree with archival data in spectral shape and flux density, with small differences being due to differing beam patterns. We also detect signal in the stacked H i data of 1 094 individually undetected galaxies in the GAMA G23 field in the redshift range 0.05 ⩽ z ⩽ 0.075. Finally, we use the low standing wave ripple and wide bandwidth of the PAF to set a 3σ upper limit to any positronium recombination line emission from the Galactic Centre of <0.09 K, corresponding to a recombination rate of <3.0 × 1045 s−1.
Review on the Current Status of Poverty and Its Determinants in Ethiopia

The study was mainly focused on assessing current poverty status and its determinants in Ethiopia. Specifically aims to review the level of poverty status, causes of poverty and determinants of poverty in Ethiopia. However, its total population is more than100 million; agriculture is the foundation of its economic growth. Poverty is still a big obstacle to overcome in Ethiopia. Poverty in Ethiopia is caused population pressure, illiteracies, and natural factors like drought, famine etc. Disease, shortage of land, poor use of technology, weak basic services, political instability, inflation, high unemployment rate and etc. Based on generalized results of we reviewed documents the major determinants of poverty were age of household heads, family size per adult equivalent, access to credit service, dependency ratio, and access to health service. Hence, promoting equitable economic growth, family planning, increasing land productivity, increasing credit service, increasing health service, and promoting research extension farmer linkage are indispensable policy interventions to better reduce rural poverty. Key words : Poverty, Determinants, Ethiopia DOI : 10.7176/JPID/50-04 Publication date :June 30 th 2019
Exact Grammaticality of Likely Parse Tree (Jugement exact de grammaticalité d’arbre syntaxique probable) [in French]

La robustesse de l'analyse probabiliste s'obtient generalement au detriment du jugement de grammati-calite sur la phrase analysee. Les analyseurs comme le Stanford Parser, ou les Reranking Parsers ne sont, en effet, pas capables de dissocier une analyse probable grammaticale d'une analyse probable erronee, et ce qu'elle porte sur une phrase elle-meme grammaticale ou non. Dans cet article nous montrons que l'adoption d'une representation syntaxique basee sur la theorie logique des modeles, accompagnee d'une structure syntaxique classique (par exemple de type syntagmatique), est de nature a permettre la resolution exacte de differents problemes tels que celui du jugement de grammaticalite. Afin de demontrer la praticite et l'utilite d'une alliance entre symbolique et stochastique, nous nous appuyons sur une represen-tation de la syntaxe par modeles, ainsi que sur une grammaire de corpus, pour presenter une methode de resolution exacte pour le jugement de grammaticalite d'un arbre syntagmatique probable. Nous presentons des resultats experimentaux sur des arbres issus d'un analyseur probabiliste, qui corroborent l'interet d'une telle alliance.