Miracle-dz/UniFAR-FTUs huggingface dataset:
La transición a entornos de educación virtual en un contexto de emergencia sanitaria: estudio de caso de un equipo docente en Formación Profesional Básica

The declaration of a state of emergency in March 2020, due to the COVID19 health crisis, caused the closure of all schools in Spain. This article aims to explore the transition from face-to-face teaching to what has been called emergency remote teaching, as well as its implications for future educational proposals. Our objectives are: to explore what conditions have influenced the process of transition toward emergency remote teaching (ERT), the pedagogical RED. Revista de Educación a Distancia. Núm. 65, Vol. 21. Artíc. 9, 08-01-2021 DOI: http://dx.doi. org/10.6018/red.450791 La transición a entornos de educación virtual en un contexto de emergencia sanitaria: estudio de caso de un equipo docente en Formación Profesional Básica. Sergio García-de-Paz y Pablo Joel Santana Bonilla. Página 2 de 24 and organisational implications of EST and which teaching model should be transitioned to in the current heath emergency context. In order to achieve them we have conducted a case study of a teaching team in Initial Vocational Education and Training of a school. The main conclusions suggest that there are three elements that have facilitated the transit to a remote emergency teaching which could also contribute to the building of virtual education environments: the presence of a digital infrastructure at the school for teaching and communication; an educational organisation model based on leadership and autonomy of teaching teams; and the teachers' vision of the family as an essential educational agent.
Recommendations for Operation, Measurement, Reporting and Application of Pediatric Lung Ultrasound: Chinese Experts Consensus

2576-2508/ C AUDT 2021·http://www.AUDT. org This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. Recommendations for Operation, Measurement, Reporting and Application of Pediatric Lung Ultrasound: Chinese Experts Consensus
Preparation of 8‐hydroxyquinoline aluminum nanomaterials to enhance properties for green organic light‐emitting diode devices

Tris(8‐hydroquinoline) aluminum (Alq3) plays an important role in the applications of green organic light‐emitting diodes (OLEDs). In this paper, Alq3 nanofilms were prepared on glass substrates by physical vapor deposition system with different surface states. The structures and morphologies of Alq3 nanofilms were characterized by X‐ray diffractometer and scanning electron microscope. Alq3 nanomaterials were used as the main luminescent material for green OLED devices. The structure of the green OLED is Mo/2‐TNATA (20 nm)/NPB (10 nm)/Alq3 (25 nm):Ir(ppy)3 (5%)/Bphen (10 nm)/LiF (5 nm)/Mg:Ag (10%) (10 nm). The photoelectric properties of green OLED devices were characterized by the system of Photo Research PR655 spectrometer. The results show that the weak interactions among Alq3 molecules such as π–π bond interactions and van der Waals forces caused molecules self‐assembling into nanospheres, nanospherical chains, nanowires, or nanotubes in physical vapor deposition system. Precise surface state control of Alq3 nanomaterials can be realized by controlling the deposition temperature, thus, to enhance properties for green OLED displays. It is found that among different morphologies, Alq3 nanotubes have been proved to be the best green OLED devices with the brightness of 11,490 cd/m2, CIE (3358, 0.6302) at 5 V, and the current efficiency is 20.24 cd/A.
A flexible regression model for zero- and k-inflated count data

Count data with inflated zeros commonly occur in numerous research studies. Accordingly, there is substantive literature regarding zero-inflated Poisson and analogous generalizable count regression models that account for data dispersion via excess zeros. Scenarios exist, however, where another count k>0 tends to be inflated, thus there remains the need to develop a flexible regression model that can accommodate both inflated frequencies and any inherent data dispersion. This work achieves this goal by employing the Conway–Maxwell–Poisson (CMP) distribution. We develop a zero- and k-inflated Conway–Maxwell–Poisson (ZkICMP) distribution and corresponding regression that addresses over- and under-dispersed count data. We further discuss parameter estimation and other diagnostics by analytical and numerical methods, and illustrate superior performance of the ZkICMP regression via real data examples.
Design and Stability analysis of CNTFET based SRAM cell

Carbon Nanotube Field Effect Transistor (CNTFET) has proved to be very beneficial for VLSI circuit designs in the nano scale range due to its amazing properties than MOSFETs. As we reduce the gate length of the device to below 45nm, we see a lot of changes in its parameters such as stability of the cell reduces, power consumption and delay increases which are different from the traditional MOSFETs. This becomes a serious issue when we try to take traditional MOSFETs scale down from this technology node. The main aim of this paper is to design CNTFET 6T SRAM memory cell which consumes less power and is highly stable at 32nm technology node. The Stanford model files have proved to be very good for the CNTFET devices, which simulates on 32 nm technology nodes in HSPICE tool. The results shown in this paper clearly indicate that the stability enhances by approx. 27.55% of the CNTFET SRAM cell with 37.44% improvement in the power consumption. Explicit analysis of the results shows that CNTFET based 6T SRAM cell has improved power consumption, less delay and high stability with improved read & write noise margin than conventional 6T SRAM cell.
Active Cell Equalization Topologies Analysis for Battery Packs: A Systematic Review

With the increasing use of rechargeable lithium-ion battery packs in numerous applications, it calls for an effective evaluation of active battery cell equalization to enhance the whole battery pack's capacity and performance. Plenty of work has focused on cell equalizing circuit and control algorithm design. Still, none of them is devoted to a comprehensive analysis and comparison of cell balancing methods from the topology level. In this article, a review of the state-of-the-art active battery cell equalization methods is conducted, where it is classified as adjacent-based, nonadjacent-based, direct cell-cell, and mixed topologies. This classification can provide a comprehensive way to analyze and compare the existing active cell balancing methods’ performance. Subsequently, the mathematical models of these balancing structures are developed, and extensive simulation results are provided to compare the performance of these equalization topologies in terms of equalization speed. It then comes up with an inclusive economic comparison between them, followed by a discussion.
Probabilistic double hierarchy linguistic alternative queuing method for real economy development evaluation under the perspective of economic financialization

Abstract With the development of science and technology, the new road of scientific economic and financial development has played a decisive role in supporting the financial undertaking. To accelerate the economic development, it is very important to increase the guiding role of financial undertaking in the real economy. Therefore, it is necessary to promote the development of the real economy under the perspective of economic financialization based on some actions. To judge the implementation effect of these actions, this paper develops a multiple criteria decision-making (MCDM) method to evaluate them. First, the decision-making matrices are established with the probabilistic double hierarchy linguistic term set in which the probabilities are added to all double hierarchy linguistic terms. Additionally, a weight-determining method is developed to obtain the weight vector of criteria, and we develop a MCDM method named the probabilistic double hierarchy linguistic alternative queuing method (PDHL-AQM), where the decision-making result is intuitive by a directed graph or a 0–1 precedence relationship matrix. Furthermore, we apply the PDHL-AQM to solve a practical MCDM problem involving the real economy development evaluation under the perspective of economic financialization. Finally, some comparative analyses are made to show the advantages and reasonableness of the PDHL-AQM.
Determination of virulence and quinolone resistance genes and biofilm production among uropathogenic Escherichia coli strains isolated from clinical specimens in Iran

Background: Uropathogenic Escherichia coli (UPEC) is the main cause of nosocomial urinary tract infections. The high rates of antimicrobial resistance among UPEC have markedly reduced the remedial options and raised the therapeutic costs and fatality rates. This study analyzed the ability of extended spectrum beta-lactamase (ESBL) production and the presence of plasmid-mediated quinolone resistance genes among UPEC isolates. It also assessed the correlation between plasmid-mediated quinolone resistance genes, biofilm production, and virulence factors among these isolates. Materials and methods: A number of 300 UPEC isolates were recovered from patients with typical clinical signs and symptoms of cystitis, and pyelonephritis, as well as those with asymptomatic bacteriuria. Hemolysis assay, antimicrobial susceptibility testing, and biofilm production were investigated among these isolates. These samples were analyzed by multiplex PCR on genes encoding the pursuits among the virulence factors: type 1 fimbrial adhesin (FimH), pyelonephritis-associated pili (PaP), S fimbriae (Sfa), afimbrial adhesin I (AfaI), hemolysin (hly), aerobactin (Aer), flagelares de la fase 1 (FliC), cytotoxic necrotizing factor 1 (Cnf1), IroN-uptake systems of E. coli D (IucD), cytolethal distending toxin (CDT), and uropathogenic-specific protein (Usp) operon. Results: The current study showed that the presence of virulence genes render the UPEC isolates higher resistance to antibiotics and a higher ability of biofilm production. Conclusion: The fact that the infection can be highly affected by virulence factors of E. coli, let us to conclude that in the case of signs and symptoms of urinary tract infection, it is better to avoid wide use of antibiotics.
The Model of the Five Competitive Forces on Portuguese Electricity Market

In Portugal, the energy sector apparently shows lack of efficiency as the amount of energy used to generate a unit of GDP, also called energy intensity of the economy (TPES/GDP), an indicator of energy efficiency, which decreased in Portugal in a couple of decades less than in the EU 27 overall. The TPES/GDP indicator stills high in most Portuguese economic sectors in comparison with the EU27 average. To determine the reasons of such lack of energetic efficiency this work aims to analyze the Portuguese electricity market based on the model of the five competitive forces of Michael Porter that was chosen due to the idiosyncrasies of electricity sector, of strategies highly anchored on its external competitive setting and of little innovation around a non-differentiated electricity product of extended life cycle. Firstly, the theoretical aspects of the model are explained; secondly, it is made a critical review, including the reasons for choosing it; thirdly, the model is applied to the electricity market in Portugal and finally the main findings are revealed. The main methodology used is literature review of secondary sources and data. Authors mainly relied on sources of high-quality material. The input data has been collected from national institutes and from the information offered by the main players on their web sites. These sources are certified, and the input information is supported by their credibility and by the supervision departments. Portugal, due to the Country dimension and the barriers, the players are still few, and the electricity market is concentrated. The competition is high among 3 - 4 major players; the barriers are high; the electricity of traditional national suppliers is high although mitigated by the entry of other European Union distributors; the bargaining power of consumers is low and the substitutes are inexistent. Moreover, the equipment in consumption is aggregated to electricity, which is not easy to change. As electricity cannot be differentiated, energy distribution companies need to set strategies to engage consumers. The present paper reflects and analyses on these assumptions and concludes that to augment energetic efficiency, companies in energy markets as Portugal must prioritize diversity, complementary services and non-related products. Also, the low degree of competition has no conditions to be surpassed in the near years due to the inefficient features of the energy market and subsequent barriers.
Structural and Electronic Properties of Neptunium Sulphide: An Ab Initio Study

The density functional theory within generalized gradient approximation (GGA) has been used to calculate lattice parameter, total energy, phase transition pressure and electronic properties of neptunium sulphide (NpS). From our calculations we observe that NpS is stable in NaCl – type structure under ambient pressure. For this compound, the phase transition pressure was found to be 29.5 GPa. The nature of metallic behaviour is remarked from energy band diagram in NpS. All properties obtained for this compound are in good agreement with available results.
elfPlace: Electrostatics-Based Placement for Large-Scale Heterogeneous FPGAs

<monospace>elfPlace</monospace> is a flat nonlinear placement algorithm for large-scale heterogeneous field-programmable gate arrays (FPGAs). We adopt the analogy between placement and electrostatic systems initially proposed by <monospace>ePlace</monospace> and extend it to tackle heterogeneous blocks in FPGA designs. To achieve satisfiable solution quality with fast and robust numerical convergence, an augmented Lagrangian formulation together with a preconditioning technique and a normalized subgradient-based multiplier updating scheme are proposed. Besides pure-wirelength minimization, we also propose a unified instance area adjustment scheme to simultaneously optimize routability, pin density, and downstream clustering compatibility. We further propose run-to-run deterministic GPU acceleration techniques to speedup the global placement. Our experiments on the ISPD 2016 benchmark suite show that <monospace>elfPlace</monospace> outperforms four state-of-the-art FPGA placers <monospace>UTPlaceF</monospace>, <monospace>RippleFPGA</monospace>, <monospace>GPlace3.0</monospace>, and <monospace>UTPlaceF-DL</monospace> by 13.5%, 10.2%, 8.8%, and 7.0%, respectively, in routed wirelength with competitive runtime.
One-Step Carbothermal Synthesis of Super Nanoadsorbents for Rapid and Recyclable Wastewater Treatment

As a potential magnetic super adsorbent in wastewater treatment, Fe3O4 has been researched intensively up to date. However, its key problem of poor comprehensive magnetic properties is still challenging. In this work, an effective solution to this problem has been developed by a one-step carbothermal synthesis of Fe3O4 crystals, which are merited with pure-stoichiometry (FeO-phase free), high crystallinity, small-size (~10 nm), strong magnetism and sensitive magnetic response. The unveiled saturation magnetization of Fe3O4 nanoparticles reaches as high as 90.32 emu·g−1, and the fastest magnetic response time is as short as only 5 s. Such magnetic Fe3O4 super adsorbents exhibit outstanding performance when applied as an adsorbent for wastewater treatment. They can quickly and effectively adsorb methylene blue with an adsorption capacity of 62.5 mg·g−1, which is much higher than that of Fe3O4 adsorbents prepared by other methods reported in the literature. Importantly, this capacity is refreshable after removing the adsorbed methylene blue just by ultrasonic cleaning. With such combined outstanding magnetic properties and recyclable adsorption capacity, the problems associated with the conventional adsorbent solid–liquid separation could be resolved, thus making a forward development towards industrial wastewater treatment.
Obesity Related Eating Behaviors and Weight Loss Maintenance.

Background: This study examined the differences between maintainers and regainers regarding obesity related eating behaviors. A secondary objective was to develop an eating behavior index predicting the likelihood of successful weight loss maintenance. Methods: The current cross-sectional evaluation was based on the Cypriot cohort of the MedWeight study (Greece). Eligible participants (maintainers=145; regainers=87) were adult men and women who reported being at least overweight (BMI ≥25 kg/m²) and experienced an intentional weight loss of ≥10% of their maximum weight, at least 1 year before participation. Among other assessments, obesity-related behaviors were evaluated through a Healthy Eating Behavior Index (HEBI). Results: Statistically significant differences between the two groups were observed regarding meals per day (P=0.008), frequency of eating home cooked meals (P=0.004) and HEBI total score (P=0.022). Results from logistic regression models indicated that the odds of maintaining weight loss increase at 23% (Model 1: P<0.05, OR 1.230, 1.062-1.424 95% C.I., Model 2: P<0.05, OR 1.233, 1.064-1.428 95% C.I.) and to almost 30% after adjusting for physical activity (Model 3: P<0.05, OR 1.293, 1.077-1.552 95% C.I.) for each point scored in HEBI total score. Conclusions: Eating more frequently home cooked meals and less eating away from home meals may be beneficially associated with weight loss maintenance. HEBI seems as a useful tool when dealing with patients who have previously lost significant weight.
Quadratic optimal control and feedback stabilization of bilinear systems

In this work, we investigate the quadratic bilinear optimal control. We first review the case of finite‐time interval, and then focus on the case of infinite‐time horizon. The main difficulty in solving a quadratic optimal control for bilinear systems is the non‐convexity of the cost function, which due to the fact that the dependence of the state with respect to the control is highly nonlinear. Then we provide a class of bilinear systems, including the commutative case, for which the optimal control can be expressed as a time‐varying feedback control. We further show that under a controllability inequality, the obtained optimal control guarantees the strong stability of the resulting system. The techniques rely on linear semigroup theory and conditions of optimality. Applications to transport and heat equations are also presented.
Impact of temperature and mode polarization on the acoustic phonon range in complex crystalline phases: A case study on intermetallic clathrates

The low and weakly temperature-varying lattice thermal conductivity, κL(T), in crystals with a complex unit cell such as type-I clathrates is assumed to originate from a reduced momentum and energy space available for propagative lattice vibrations, which is caused by the occurrence of low-energy optical phonon modes. In the context of ab initio self-consistent phonon (SCP) theory, it has been shown that the cubic and quartic anharmonic interactions result in a temperature-induced energy renormalization of these low-lying optical branches which contributes to the anomalous behavior of κL(T) in structurally ordered type-I clathrates [T. Tadano and S. Tsuneyuki, Phys. Rev. Lett. 120, 105901 (2018)]. By means of inelastic neutron scattering, we provide evidence for this energy renormalization in temperature, which has been resolved for transversely and longitudinally polarized phonons in the single crystal type-I clathrate Ba7.81Ge40. 67Au5.33. By mapping the neutron intensity in the momentum space, we demonstrate the coherent character of the low-lying optical phonons. The overall phonon spectrum and dynamical structure factors are satisfactorily reproduced by ab initio harmonic calculations using density functional theory with the meta-GGA SCAN functional and a fully ordered structure. However, a polarization-dependent cutoff energy with opposing temperature shifts for longitudinal and transverse acoustic dispersions is experimentally observed which is not reproduced by the simulations. Anharmonicity affects the energies of the low-lying optical phonons in the transverse polarization, which compares quantitatively well with available results from SCP theory, whereas differences are observed for the longitudinal polarization.
A Smart Fluorescent Light Spectroscope to Identify the Pork Adulteration for Halal Authentication

The complication of adulterated ingredients in processed food items is widely observed in the food industry and remains a continuous disquiet for end users. This problem may affect consumers’ spiritual beliefs, likewise with their fitness and diet. Hence commercial foods should be scrutinized for the precision of the avowed ingredients. This study is dedicated to developing a Fluorescent light Spectroscope to identify the pork adulteration. A simple way of DNA extraction process has been introduced to make the system more convenient. The spectral bands linked with pork fat (PF), beef fat (BF) and their combinations in different food formulation were skimmed, and recognized by correlating them to those spectroscopically illustrative to clean Pork or PF and other different items. Every material has the properties to absorb some light of specific wavelength, and our activity is to determine thus wavelength range at which are absorbed or make any change by the target material. The findings have revealed that spectroscopy can be used as one of the procedures to detect and quantify of pork in different foods and beverages formulation for Halal verification purposes. Special laborious procedures and equipment both are essential for the existing testing methods named RT-PCR (Reverse transcription-polymerase chain reaction) and ELISA (enzyme-linked immunosorbent assay). Most of the food processors and dealers are not skillful to conduct sufficient testing for their products with all these sample preparation, extraction, analysis, and obtaining results which can be overcome by our proposed setup.
Spatial distribution of Nematalosa nasus (Bloch, 1795) of the Northern Indian Ocean in a changing climate

Globally, ocean climate is changing at unprecedented rates. Shifts of species distribution towards the northern latitudes are evident in many seas. The Northern Indian Ocean is warming at an alarming rate as compared to the other oceans. The increased rate of warming will cause substantial responses in the distribution of the pelagic fish species. Many fishes of the family Clupeidae form the mainstay of the marine fisheries of the countries bordering the Northern Indian Ocean. Nematalosa nasus is one of the important pelagic fish found in the region. This study tries to understand the distributional shifts of this species from the region in two future climate scenarios (RCP 6.0 & 8.5). The results indicate a higher influence of the current vector and mean temperature on the distribution of this species. A northward shift in the distribution range is observed in both the future scenarios as compared to the predicted current distribution.