Miracle-dz/UniFAR-FTUs huggingface dataset:
Flight Dynamics and Control of a Farm of Tethered Energy Systems in a Turbulent Field

In this paper, we present a combined flight dynamic, control system, and wake interaction model for an array (farm) of tethered energy systems, assessing the response of the array to a turbulent incoming flow field. The model presented herein constitutes the most detailed farm-level dynamic model for tethered energy systems to-date. In particular, the model accounts for more realistic approximations of tether dynamics and added mass effects, while characterizing the ability to control the system through both tethers and control surfaces. Focusing on a specific design and array geometry for ocean current energy harvesting, we analyze the dynamic performance of the array under a turbulent flow field that is representative of the turbulent environment in the Gulf Stream. We perform a frequency domain analysis of individual tethered systems in order to better understand the attenuation properties of the modeled system.
Long‐term impacts of grazing management on land degradation in a rural community of Southern Italy: Depopulation matters

Depopulation and economic marginalization of rural districts have induced a progressive land abandonment in agricultural and pastoral districts. In Europe, areas at higher risk of farmland abandonment are characterized by low‐intensity pasture systems whose fate is strongly dependent on state incentives or subsidies to rural development promoting more sustainable land‐use trajectories. Especially in Southern Europe, undergrazing is the main driver of pasture degradation. In such a context, a land management preserving pasture resilience requires a wider knowledge about the impact of practices on the ecological characteristics of pastures and an improved understanding of complex socio‐environmental interactions underlying the adoption of such practices. Based on these premises, this study investigates the extent to which the past land management reflects the current state of agro‐pastoral systems in a local community of Southern Apennine (Basilicata, Italy). Based on a multi‐scale analysis integrating multiple sources of data and exploratory techniques, three land‐use trajectories with different implications for land degradation were identified: (a) areas completely abandoned, (b) areas with a decrease in grazing where the management system is remained unchanged, and (c) areas characterized by a decrease in grazing with changes in the management system. Results outline the importance of landscape history shaping (optimal and sub‐optimal) land management and the influence of landscape structure on livestock performances within different farm management types.
Pressure boundary condition in a multiphase lattice Boltzmann method and its applications on simulations of two‐phase flows

As a lattice Boltzmann method, He‐Chen‐Zhang model is widely used in two‐phase simulations. However, the pressure boundary conditions applied in He‐Chen‐Zhang model have hardly been discussed in detail before. In this article, a pressure boundary condition for single‐phase flows is extended to He‐Chen‐Zhang model for simulating two‐phase flows in porous media or in channel. Several cases are conducted for validation. Qualitatively, the displacement of two‐phase flows in porous media or in channel is reproduced; the manipulations of droplet in T‐junction, duct, or needle are simulated. These numerical results match well with the basic physical reality. Quantitatively, we tested the displacement of two‐phase fluids in a channel under specified pressure gradient, and it is found that the velocity profile on the crosssection coincides with the analytical solution exactly. Moreover, for stable displacement of two‐phase flows in a channel, the numerical linear relation between the apparent contact angle and the velocity of contact line coincides well with the theoretical result reported before. The present pressure boundary condition proves to be a reliable method to deal with the problems of two‐phase flows, which are driven by pressure difference.
General Public's Attitudes Toward Disclosure of Patient Safety Incidents in Korea: Results of Disclosure of Patient Safety Incidents Survey I

Supplemental digital content is available in the text. Objectives Many countries and organizations have promoted the disclosure of patient safety incidents (DPSI). However, reporting frequency and quality of DPSI fall short of patient and caregiver' expectations. In this study, we examined the attitudes toward DPSI of the general public representing the Korean population. Methods Survey questions were developed based on a previous systematic review and qualitative research. Face-to-face interviews using paper-based questionnaires were conducted. We explored attitudes toward DPSI in various scenarios and opinions on methods to facilitate DPSI. Results Almost all participants answered that it is necessary to disclose major errors (99.9%) and near misses (93.3%). A total of 96.6% (675/699) agreed that “DPSI will lead physicians to pay more attention to patient safety in the future,” and 94.1% (658/699) agreed that “DPSI will make patients and their caregivers trust the physician more. ” Although 79.7% (558/700) agreed that “apology law will limit patients' ability to prove physicians' negligence,” 95.4% (668/700) agreed with “I support the introduction of apology law. ” Moreover, 90.6% (634/700) agreed with “I support the introduction of mandatory DPSI. ” Conclusions This study showed the overwhelmingly positive attitude of the public toward DPSI. The positive opinion of the public about apology law suggests the possibility of introducing the disclosure policy coupled with legislation of apology law in South Korea.
Wishing to be like the character on screen: Media exposure and perception of hacking behavior

This research addressed whether exposure to media, which increasingly portrays hacker characters across diverse media domains, may predict perceptions of others’ willingness to hack. Specifically, this study assessed how wishful identification with hacker characters may contribute to individuals’ perception of hacking behaviors. One-hundred forty-nine North American participants were recruited using MTurk.com. Participants reported (1) their exposure to general media and perceived identification with a fictional hacker character, and (2) their perceived risks, payoffs, and estimated willingness of others to engage in hacker behaviors regarding a specific call to hack. Additionally, this research examined differences in the effects of media exposure on hacking likelihood between two types of hacks: financial hacking attacks and hacktivism attacks. Results show (1) that perceived payoffs of hacking, but not perceived risks, predict individuals’ estimation of hacker behaviors, (2) a significant and positive indirect effect between media exposure and estimation of others’ willingness to hack passes through wishful identification and perceived payoffs of hacking attacks, and (3) no significant differences in the above relationships between the two types of hacks. Together, these findings highlight that media exposure may increase positive perceptions of hackers and in turn increase the perception of pervasiveness and legitimacy of engaging in hacking behaviors.
Wege: A New Metric for Ranking Locations for Biodiversity Conservation

Aim In order to implement effective conservation policies, it is crucial to know how biodiversity is distributed and one of the most widely used systems is the Key Biodiversity Areas (hereafter KBA) criteria, developed by the International Union for Conservation of Nature (IUCN). Here we develop a tool to rank Key Biodiversity Areas in a continuous scale to allow the ranking between KBAs and test this tool on a simulated dataset of 10 000 scenarios of species compositions of reptiles and mammals in eight locations in Mozambique. Location Mozambique, Africa Methods We compare the KBA criteria with four priorisation metrics (weighted endemism, extinction risk, evolutionary distinctiveness and EDGE score) to rank the biodiversity importance of eight sites with a randomly generated species composition of reptiles and mammals in Mozambique. Results We find that none of these metrics is able to provide a suitable ranking of the sites surveyed that would ultimately allow prioritization. We therefore develop and validate the “WEGE index” (Weighted Endemism including Global Endangerment index), which is an adaptation of the EDGE score (Evolutionarily Distinct and Globally Endangered) and allows the ranking of sites according to the KBA criteria but on a continuous scale. Main conclusions For our study system, the WEGE index scores areas that trigger KBA status higher and is able to rank their importance in terms of biodiversity by using the range and threat status of species present at the site. Prioritization may be crucial for policy making and real-life conservation, allowing the choice between otherwise equally qualified sites according to the KBA categories. WEGE is intended to support a transparent decision-making process in conservation.
Magnetic actuation for drug delivery in capsule endoscopy

+. +5! LIST+OF+FIGURES+. +7! LIST+OF+TABLES+. +19! ABBREVIATIONS+. +20! TABLE+OF+CONTENTS+. +21! CHAPTER+1+INTRODUCTION+. +26! 1.1! Wireless! capsule! endoscope! 26! 1.2! Research! problem! 27! 1.3. Principal! contributions! 29! 1.4! Thesis! outline! 30! CHAPTER+2+LITERATURE+REVIEW+. +32! 2.1! Operational! environment! and! requirements! for! DDS! 32! 2.2! Comparison! of! existing! DDS! 35! 2.2.1! Mechanical! systems! for! anchoring! mechanisms! 35! 2.2.2! NonLmechanical! systems! for! anchoring! mechanisms! 38! 2.2.3! Mechanical! systems! for! drug! release! mechanisms! 39! 2.2.3.1 Passive mechanical release mechanism . 39! 2.2.3.2 Active mechanical release mechanism . 41! 2.2. 4! NonLMechanical! systems! for! drug! release! mechanisms! 46! 2.3! Conclusions! 48! CHAPTER+3+THE+PROPOSED+MAGNETOMECHANICAL+SYSTEM+. +51! 3.1! Requirements! for! a! DDS! in! WCE! 51! 3.2! Proposed! magnetomechanical! system! 51! 3.2.1! Clinical! procedure! 54! 3.3! Modeling! the! magnetic! system! 56!
Chest CT Dose Examination for Adult Patient in Abuja and Keffi, Hospitals in Nigerian

The term "computed tomography" (CT) is often used to refer to X-ray CT, because it is the most commonly known form. But, many other types of CT exist, such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT). This study was carried out in the north central part of Nigeria which includes Abuja and Keffi (Nasarawa State). This study has established local diagnostic reference levels (LDRLs). Dose report and scan parameters for chest was assessed during the period (January – July, 2016) of seven months at the three study centres (A, B and C in which two are located in Abuja and the other one (C) located in Keffi. Data on CT Dose index (CTDIw) and dose length product (DLP) available and achieved on CT scanner control console was recorded for a minimum of 10 average sized patients for each facility to established a local Diagnostic reference level (LDRLs) and radiation dose optimization Data was collected using Original Research Article Rilwan et al.; AJARR, 8(2): 1-9, 2020; Article no.AJARR. 53995 2 a purposive sampling technique, from 131 adult patients weighing 70±3kg) from Philip brilliance, Toshiba Alexion and General Electric (GE) CT scanners for this study. Third quartile values of the estimated LDRLs for CTDIw and DLP was determined as 10.9 mGy and 432.8 mCy*cm. The mean CTDIw obtained are lower to the reported data from the European Commission of 30mGy. The mean DLP are comparably lower than all the reported value from the European commission of 650mGy/cm. Therefore, there is no any clinical implication and hence CT dose optimization is recommended.
Entrapment of organic fluorophores in calcium phosphate nanoparticles with slow release

Two organic fluorophores, fluorescein (F) and rhodamine B (Rd), were entrapped in calcium phosphate nanoparticles. The as-obtained nanoparticles can be used for biological release applications. For this aim, calcium phosphate nanoparticles were synthesized using the precipitation method. Structural analysis of these nanoparticles was performed using XRD, FTIR, and Raman spectroscopy, confirming that the synthesized nanoparticles were hydroxyapatite. TEM and SEM analyses demonstrated that these nanoparticles had a size of 20 nm and a well-defined morphology. F and Rd (about 0.5 wt.%) were entrapped in these nanoparticles and their release, as a function of time, was studied via UV-Vis spectroscopy. The obtained results showed that the release of both fluorophores was progressive over time. The trapping efficiencies of the fluorophores were 67.15% and 90.76% for F and Rd, respectively.
Phase change memory for automotive grade embedded NVM applications

Emerging memories (EMs) have been intensively explored for embedded non-volatile memory (eNVM) applications because of their advantages over conventional eNVMs. There has been limited production of microcontrollers with embedded EM (eEMs) but the eEMs market has not taken off yet. The disruptive innovation undertaken by advanced digital CMOS technologies now provides a compelling motivation for a radical change, giving eEMs a great opportunity for success. Phase change memory (PCM) has been proven, in stand-alone memories, to be the most mature among the various kinds of EM. This paper illustrates the enormous potential of PCM in the field of eNVM. The evolution of embedded PCM (ePCM) is reviewed, showing evidence for the effort spent to enlarge the operating temperature range to cover an automotive mission profile. The recently disclosed state-of-the-art 28 nm HK metal gate fully depleted silicon-on insulator ePCM is presented as the demonstration of the ePCM potential to become the mainstream eNVM technology at 28 nm and below, at least for automotive grade applications. Finally, the opportunity for ePCM to play a relevant role in the field of edge artificial intelligence is briefly discussed.
Discrete Iterative Map Model-Based Stability Analysis of Capacitor Current Ripple-Controlled SIDO CCM Buck Converter

Capacitor current ripple (CCR) control is applied to single-inductor dual-output (SIDO) buck converter due to its advantages in reducing cross regulation and fast transient response. However, it shows that the stability of CCR-controlled SIDO CCM buck converter can be affected by circuit parameters. In this article, a 5-D discrete iterative map model of CCR-controlled SIDO CCM buck converter is established based on Poincaré maps. The bifurcation analysis and eigenvalues loci clearly shows that the effect of control parameters and load parameters on the stability of CCR-controlled SIDO CCM buck converter. Besides, the effect of studied circuit parameters on the stability range of the converter is investigated. Furthermore, the stability boundaries and stable regions of load parameters and control parameters are obtained by using eigenvalues analysis. The study results show that the increasing of proportional parameters would cause instability and it will reduce the stable region of load parameters. The converter has a stable region for load parameters and these two load parameters have influence on each other. Finally, experimental results are presented to verify the theoretical analysis in this article.
Imaginando a relatividade: Análise de representações visuais da teoria da relatividade especial

of special relativity in Brazilian periodicals, analyzing and comparing how the same informational content had different results of different methods of configuration and symbolism of the images. For this purpose, we will use Michael Twyman's (1979, 1985) studies on visual language, as well as the work of James E. Cutting (2002) on the types of elements used in the visual representation of motion in static images. At the end we will take a look at the possibilities of animated and interactive infographics as a resource for the representation of Einstein's theory.
Breaking the curse of dimensionality based on tensor train : models and algorithms. (Gérer le fleau de la dimension à l'aide des trains de tenseurs : modèles et algorithmes)

Le traitement des donnees massives, communement connu sous l’appellation “Big Data”, constitue l’un des principaux defis scientifiques de la communaute STIC.Plusieurs domaines, a savoir economique, industriel ou scientifique, produisent des donnees heterogenes acquises selon des protocoles technologiques multi-modales. Traiter independamment chaque ensemble de donnees mesurees est clairement une approche reductrice et insatisfaisante. En faisant cela, des “relations cachees” ou des inter-correlations entre les donnees peuvent etre totalement ignorees.Les representations tensorielles ont recu une attention particuliere dans ce sens en raison de leur capacite a extraire de donnees heterogenes et volumineuses une information physiquement interpretable confinee a un sous-espace de dimension reduite. Dans ce cas, les donnees peuvent etre organisees selon un tableau a D dimensions, aussi appele tenseur d’ordre D.Dans ce contexte, le but de ce travail et que certaines proprietes soient presentes : (i) avoir des algorithmes de factorisation stables (ne souffrant pas de probeme de convergence), (ii) avoir un faible cout de stockage (c’est-a-dire que le nombre de parametres libres doit etre lineaire en D), et (iii) avoir un formalisme sous forme de graphe permettant une visualisation mentale simple mais rigoureuse des decompositions tensorielles de tenseurs d’ordre eleve, soit pour D > 3.Par consequent, nous nous appuyons sur la decomposition en train de tenseurs (TT) pour elaborer de nouveaux algorithmes de factorisation TT, et des nouvelles equivalences en termes de modelisation tensorielle, permettant une nouvelle strategie de reduction de dimensionnalite et d'optimisation de critere des moindres carres couples pour l'estimation des parametres d'interets nomme JIRAFE.Ces travaux d'ordre methodologique ont eu des applications dans le contexte de l'analyse spectrale multidimensionelle et des systemes de telecommunications a relais.
Addressing childhood obesity in Georgia: Past, present, and future

Background: The Trust for America's Health ranks Georgia 17th (16.5%) in the nation for childhood obesity prevalence among youth aged 10-17 years. Georgia has a long history of addressing childhood obesity at the state, regional, and local levels. This report outlines the historical efforts in childhood obesity in Georgia from the mid-1990’s to the present, summarizes current childhood obesity prevention and management strategies, and provides childhood obesity-related data relevant to the current strategies. Methods: Childhood obesity-related efforts in Georgia from 1996 to the present are documented, along with how these efforts led to the creation of Georgia Shape. The Georgia Shape Childhood Obesity Prevention Initiative, created by Governor Nathan Deal in 2012, established a statewide, 10-year plan of action to address childhood obesity. It convenes more than 125 governmental, philanthropic, academic and business community partners quarterly to work towards reducing the incidence of childhood obesity and overweight in Georgia. Evidence supporting the Georgia Shape objectives is described, along with current program and policy efforts that may allow achievement of its goal of having 69% of Georgia’s children in a healthy weight range by the year 2023. Results: Georgia's obesity rate for low-income, 2to 4-year old children has decreased. Over the 2013-2015 school years, there has been no increase in BMI at the population level among school age children and youth, and the percentage of boys and girls with increased aerobic capacity has improved. Future efforts should focus on middle and high school students; engaging and educating parents of young children; and state policies that support safe, daily physical activity and access to healthy, local food. Conclusions: A long history of childhood obesity activities in Georgia has led to a strategic plan of action, with contributions from many stakeholders. These efforts aim to reduce the prevalence of childhood overweight and obesity in Georgia over 10 years.
Serve efficiency developments at Wimbledon between 2002 and 2015: a longitudinal approach to impact tomorrow’s tennis practice

Purpose. Good serving is crucial to succeed in men’s world class tennis; however, both chronological and skill-related service game development remain to be elucidated. The study aimed to systematically analyse the development of serving behaviour and serve efficiency in world class men’s tennis over a period of 14 years. Methods. Historical data collected from all matches at the Wimbledon Championship between 2002 and 2015 (matches: n = 1772; service games: n = 63,838; serves: n = 401,527) were included for analyses. The analyses focused on 2 comparisons, serve efficiency development over time and possible differences within the world class, i.e. 1st tournament week results (matches: n = 1563; service games: n = 55,989; serves: n = 352,748) and 2nd tournament week results (matches: n = 209; service games: n = 7849; serves: n = 48,779). Results. An increase was observed of the percentages for service games won (p < 0.01), aces served (p < 0.01), and 1 and 2 serve points won (p < 0.01), whereas double faults (p < 0.05) and serve and volley points played (p < 0.01) decreased over time. Direct comparisons of the 1 and 2 tournament week show advantages in favour of the 2 tournament week. Players competing in the 2 tournament week won higher percentages of service games (p < 0.01) and points on the 1 (p < 0.01) and 2 serve (p < 0.05), and served more aces (p < 0.05) but fewer double faults (p < 0.05). Conclusions. With a particular impact on the 2 tournament week, the findings indicate increased serve efficiency in men’s world class grass court tennis from 2002 to 2015, which may imply altered practice patterns in tomorrow’s training and coaching.
Academic Success Assessment through Version Control Systems

Version control systems’ usage is a highly demanded skill in information and communication technology professionals. Thus, their usage should be encouraged by educational institutions. This work demonstrates that it is possible to assess if a student can pass a computer science-related subject by monitoring its interaction with a version control system. This paper proposes a methodology that compares the performance of several machine learning models so as to select the appropriate predicting model for the assessment of the students’ achievements. To fit predicting models, three subjects of the Degree in Computer Science at the University of León are considered to obtain the dataset: computer organization, computer programming, and operating systems extension. The common aspect of these subjects is their assignments, which are based on developing one or several programs with programming languages such as C or Java. To monitor the practical assignments and individual performance, a Git repository is employed allowing students to store source code, documentation, and supporting control versions. According to the presented experience, there is a huge correlation between the level of interaction for each student and the achieved grades.