Miracle-dz/UniFAR-FTUs huggingface dataset:
Conversor CC-CC tipo T ZVS PWM: análise, projeto e implementação

This work presents the analysis of the T-Type Zero Voltage Switching Pulse Width Modulated isolated DC-DC converter (TT-ZVS-PWM Converter). The topology is composed of four switches. Two of them are subjected to the input voltage level and the other two to half the input voltage. All primary side switches commutate under zero-voltage. The proposed converter has the following in common with the Full Bridge Zero-Voltage Switching (FB-ZVS-PWM) and the Three-Level Zero-Voltage Switching (TL-ZVS-PWM) converters: (a) symmetrical operation of the isolation transformer, (b) modulation by pulse-width with constant frequency, (c) zero voltage switching, and (d) three-level voltage applied to the primary winding of the transformer. Theoretical analysis, small signal model, design example and experimental results for a 3 kW, 400 VDC input, 60 VDC output, and 50 kHz switching frequency laboratory prototype, are included. Measured efficiency was 93% at full load and a peak efficiency of 95.2% occured at 1.2 kW.
Fabrication of MoS2/C60 Nanolayer Field-Effect Transistor for Ultrasensitive Detection of miRNA-155

As a major public health issue, early cancer detection is of great significance. A field-effect transistor (FET) based on an MoS2/C60 composite nanolayer as the channel material enhances device performance by adding a light source, allowing the ultrasensitive detection of cancer-related miRNA. In this work, atomic layer deposition (ALD) was used to deposit MoS2 layer by layer, and C60 was deposited by an evaporation coater to obtain a composite nanolayer with good surface morphology as the channel material of the FET. Based on the good absorption of C60 by blue-violet light, a 405 nm laser was selected to irradiate the channel material, improving the function of FET biosensors. A linear detection window from 10 pM to 1 fM with an ultralow detection limit of 5.16 aM for miRNA-155 was achieved.
Super-resolution based on laser Flying Spot technique coupled with IR thermography

A super-resolution method based on laser Flying Spot technique and InfraRed (IR) thermography is proposed. The thermal resolution given by an IR camera is limited by the pixel dimensions of the camera. The objective of this work is to achieve a better resolution through the displacement of a laser spot that is smaller than the pixel. The study of the thermal response and the knowledge of the laser displacement inside the camera pixels enable a first step toward the thermal super-resolution. The methodology of this technique and a first numerical example are presented in this paper
A Simulation of the Effect of External and Internal Parameters on the Synthesis of a Carbyne with More than 6000 Atoms for Emerging Continuously Tunable Energy Barriers in CNT-Based Transistors

Transistors made up of carbon nanotube CNT have demonstrated excellent current–voltage characteristics which outperform some high-grade silicon-based transistors. A continuously tunable energy barrier across semiconductor interfaces is desired to make the CNT-based transistors more robust. Despite that the direct band gap of the carbyne inside a CNT can be widely tuned by strain, the size of the carbyne cannot be controlled easily. The production of a monoatomic chain with more than 6000 carbon atoms is an enormous technological challenge. To predict the optimal chain length of a carbyne in different molecular environments, we have developed a Monte Carlo model in which a finite-length carbyne with a size of 4000–15,000 atoms is encapsulated by a CNT at finite temperatures. Our simulation shows that the stability of the carbyne@nanotube is strongly influenced by the nature and porosity of the CNT, the external pressure, the temperature, and the chain length. We have observed an initiation of the chain-breaking process in a compressed carbyne@nanotube. Our work provides much-needed input for optimizing the carbyne length to produce carbon chains much longer than 6000 atoms at ~300 K. Design rules are proposed for synthesizing ~1% strained carbyne@(6,5)CNT as a component in CNT-based transistors to tune the energy barriers continuously.
Challenges in the Management of Sarcopenia in the Primary Care Setting: A Scoping Review

Background: Sarcopenia is a disease associated with the loss of muscle mass, strength, and function. It affects the elderly in various ways, such as reduced mobility, compromising their daily activities, and even deteriorating metabolic health. Primary care serves as the first point of contact for patients and plays an important role in health promotion and disease prevention. Hence, this review is conducted to identify the challenges in the management of sarcopenia in the primary care setting. Method: In December 2022, a scoping review was conducted using PubMed, SCOPUS, Web of Science, and a manual search, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. We used articles that have been written in English, and relevant articles were then screened, duplicates were removed, eligibility criteria were applied, and studies that met the criteria were reviewed. The keywords challenges, management, sarcopenia, and primary care were included. Result: The initial search generated 280 publications, and 11 articles were included after inclusion and exclusion criteria for this review. In this review, challenges in the management of sarcopenia in a primary care setting are reviewed based on the screening and diagnosis. Conclusions: With an increasing aging population, it is important to understand the challenges in the management of sarcopenia in a primary care setting. Identification of elderly at risk of sarcopenia, followed by referring the affected elderly for confirmation of the diagnosis, is essential to preventing the adverse health effects. The initiation of treatment that comprises resistance exercise training and nutrition should not be delayed, as they are salient in the management of sarcopenia.
The second-order deformation of a finite compressible isotropic elastic annulus subjected to circular shearing

This work investigates the second-order deformation of a uniformly thick compressible isotropic elastic annulus with an axial cylindrical hole. The annulus is clamped at its outer edge and is subjected to a constant angular deformation on the interior boundary of the hole. The implicit m athematical solution is formulated in term s of finite Hankel transform s with Weber-Orr kernel functions which are then numerically inverted.
Fake news detection: a systematic literature review of machine learning algorithms and datasets

Fake news (i.e., false news created to have a high capacity for dissemination and malicious intentions) is a problem of great interest to society today since it has achieved unprecedented political, economic, and social impacts. Taking advantage of modern digital communication and information technologies, they are widely propagated through social media, being their use intentional and challenging to identify. In order to mitigate the damage caused by fake news, researchers have been seeking the development of automated mechanisms to detect them, such as algorithms based on machine learning as well as the datasets employed in this development. This research aims to analyze the machine learning algorithms and datasets used in training to identify fake news published in the literature. It is exploratory research with a qualitative approach, which uses a research protocol to identify studies with the intention of analyzing them. As a result, we have the algorithms Stacking Method, Bidirectional Recurrent Neural Network (BiRNN), and Convolutional Neural Network (CNN), with 99.9%, 99.8%, and 99.8% accuracy, respectively. Although this accuracy is expressive, most of the research employed datasets in controlled environments (e.g., Kaggle) or without information updated in real-time (from social networks). Still, only a few studies have been applied in social network environments, where the most significant dissemination of disinformation occurs nowadays. Kaggle was the platform identified with the most frequently used datasets, being succeeded by Weibo, FNC-1, COVID-19 Fake News, and Twitter. For future research, studies should be carried out in addition to news about politics, the area that was the primary motivator for the growth of research from 2017, and the use of hybrid methods for identifying fake news.
Effect of NH2-MWCNTs sprayed carbon fiber on the mechanical properties of carbon fiber reinforced polycarbonate composite for lightweight structural applications

In this work, amine-Multi-walled Carbon Nanotubes (MWCNTs) were reinforced on the surface of fiber fabric by solvent spray deposition method in order to improve the mechanical and thermal properties of carbon fiber/polycarbonate film (CF/PC) stacked composites. The hot press method was used to fabricate the CF/PC composites with varied NH2-MWCNTs concentrations of 0.1, 0.3, 0.5, and 0.7 wt. %, as well as the reference composite. The multifarious assembly features of Carbon nanotubes (CNTs) on the fiber surface exhibit greater interfacial mechanics and have a major influence on the load transfer efficiency of the composite. In comparison with reference CF/PC composite, the tensile strength (384.55 MPa) and modulus (23.78 GPa) of composites increase by 67% and 40% respectively for 0.1% NH2-MWCNT reinforcement, whereas flexural strength and flexural modulus increase by 98% and 80%. However, as compared to the 0.1% CNT reinforcement, the impact strength of the 0.7% increases over 6% by absorbing substantial fracture energy. The inclusion of MWCNTs lowers the glass transition temperature (Tg) of composites due to the role of molecular conformations in free surface volume of the polymer. X-ray Photoelectron spectroscopy (XPS) and FTIR analysis confirms the functional groups present in the nanocomposite. Field Emission Scanning electron microscopy (FESEM) was used to analyze the dispersion and adhesion surface morphology of MWCNTs on fiber and the fiber/matrix interface interaction fractograph of tensile and impact tested samples.
An industry survey on approaches, success factors, and barriers for technology transfer in software engineering

One central aspect of software engineering research is the transfer of the proposed approaches into industrial practice. In the past, a number of technology transfer approaches and experiences from technology transfer projects in software engineering have already been reported. However, many researchers still struggle to get their research results noticed by practitioners. To investigate what is important to practitioners, we conducted a mixed‐methods study that provides us with reliable quantitative data as well as deeper insights from qualitative data. Our results show that there is a mismatch between industry professionals' needs and commonly proposed technology transfer approaches in the software engineering field. For instance, collaboration between industry and academia as well as participation in empirical evaluations is not deemed important from an industry point of view. In contrast, industry professionals emphasize the use of company‐specific pilot projects conducted by industry and the need for experts to be available in every phase of technology transfer.
A Reconstruction Algorithm with Bayesian Compressive Sensing for Synthetic Aperture Radar Images

A reconstruction algorithm with Bayesian compressive sensing for synthetic aperture radar(SAR) images(DLWT-TDC) is proposed to solve the problem that the dependencies of wavelet coefficients are not fully exploited by existing compressive sensing(CS) reconstruction algorithms.The new algorithm exploits both the interscale attenuation and the intrascale directional clustering property of the directional lifting wavelet transform(DLWT) coefficients.The DLWT is used for SAR image's sparse representation,and then,3×5、5×3 and 5×5 neighboring blocks are used to design prior probability models with local adaptivity in both the direction and space.Then the Bayesian inference via Markov chain Monte Carlo sampling is used to recover the image's wavelet coefficients and the reconstructed image is generated in turn.Experimental results show that the DLWT-TDC achieves high reconstruction performance when the sampling percentage is in the range from 50% to 90%. Comparisons with the Bayesian tree-structured wavelet compressive sensing algorithm,which only uses the interscale dependencies,show that the proposed algorithm improves the peak-signal-to-noise-ratio by about 3 dB when the sampling percentage is 90%.
Periodic Solutions, Stability and Non-Integrability in a Generalized Hénon-Heiles Hamiltonian System

We consider the Hamiltonian function defined by the cubic polynomial , where A, B, D ∈ ℝ are parameters and so H is an extension of the well known Hénon-Heiles problem. Our main contribution for D ≠ 0, A + B ≠ 0 and other technical restrictions are in three aspects: existence of periodic solutions, stability and instability of these periodic solutions and the problem of non-integrability of the system associated to H. Initially we give sufficient conditions on the three parameters of these generalized Hénon-Heiles systems, which guarantees that at any positive energy level, the Hamiltonian system has periodic orbits. After that, we prove that its stability changes with the values of the parameters. Finally, we show that the generalized Hénon–Heiles systems cannot have any second first integral of class 1 in the sense of Liouville–Arnol'd. In fact, the parameters where our problem is not integrable in the sense of Liouville–Arnol'd are the same where the periodic orbits were analytically found through averaging theory.
The role of electric space charge in nuclear lightning

The phenomenon of nuclear lightning is reexamined with theoretical models and laboratory-scale experiments. It is shown that the distribution of electric space charge, rather than the electric field alone, must be considered in accounting for the shapes and locations of nuclear lightning channels in the atmosphere. A self-consistent distribution of space charge requires a consideration of both electronic and ionic conduction in the irradiated atmosphere, in agreement with earlier findings (Grover, 1980). The magnitudes of nuclear lightning currents (105–106 A) (Colvin et al., 1987) are compatible with predictions for electrical conduction currents based on contemporary theory. Comparisons between the theoretical predictions and laboratory discharge experiments for the nuclear lightning case emphasize the dominant influence of electric space charge on discharge paths in both solid insulators and thunderclouds.
Sleep disruption by memory cues selectively weakens reactivated memories

A widely accepted view in memory research is that recently stored information can be reactivated during sleep, leading to memory strengthening. Two recent studies have shown that this effect can be reversed in participants with highly disrupted sleep. To test whether weakening of reactivated memories can result directly from sleep disruption, in this experiment we varied the intensity of memory reactivation cues such that some produced sleep arousals. Prior to sleep, participants (local community members) learned the locations of 75 objects, each accompanied by a sound naturally associated with that object. Location recall was tested before and after sleep, and a subset of the sounds was presented during sleep to provoke reactivation of the corresponding locations. Reactivation with sleep arousal weakened memories, unlike the improvement typically found after reactivation without sleep arousal. We conclude that reactivated memories can be selectively weakened during sleep, and that memory reactivation may strengthen or weaken memories depending on additional factors such as concurrent sleep disruption.
Optimization of Mopan Persimmon Wine Fermentation with Pectinase and Analysis of Its Mechanism of Action

Due to the high sugar content of Mopan persimmon, which has an annual output of more than 0.5 million tons in China, it can be processed to make fruit wine. In this study, a strain of yeast screened from different persimmon samples was used for persimmon wine fermentation. The optimal conditions of persimmon wine fermentation were determined through single-factor experiments as follows: Yeast addition of 0.08 g/kg; a fermentation temperature of 28 °C; sucrose addition of 18%; and pectinase addition of 0.01%. Under these conditions, the alcohol content of persimmon wine reached 12.9%. The addition of pectinase during persimmon wine fermentation was found to decompose pectin at high speed, reduce the viscosity of the fermentation liquid, increase the dissolved oxygen content in the fermentation liquid, promote the growth and reproduction of yeast, and effectively convert the sugars into alcohol. After fermentation, alcohol, residual sugars, and total phenolic content with or without pectinase treatment were 12.9 and 4.4%, 2.2 and 13.4 g/L, and 738.7 and 302 µg/mL, respectively. Scanning electron microscopy (SEM) results showed that compared with the mash without pectinase treatment, the mash with pectinase had a larger network structure and more pores and yeasts.
Development and Evaluation of Novel Encapsulated Isoeugenol-Liposomal Gel Carrier System for Methicillin-Resistant Staphylococcus aureus

In recent years, methicillin-resistant Staphylococcus aureus (MRSA) bacteria have seriously threatened the health and safety of the world’s population. This challenge demands the development of alternative therapies based on plant origin. This molecular docking study ascertained the orientation and intermolecular interactions of isoeugenol within penicillin-binding protein 2a. In this present work, isoeugenol as an anti-MRSA therapy was selected by encapsulating it into a liposomal carrier system. After encapsulation into the liposomal carrier, it was evaluated for encapsulation efficiency (%), particle size, zeta potential, and morphology. The percentage entrapment efficiency (% EE) was observed to be 57.8 ± 2.89% with a particle size of 143.31 ± 7.165 nm, a zeta potential of (−)25 mV, and morphology was found to be spherical and smooth. After this evaluation, it was incorporated into a 0.5% Carbopol gel for a smooth and uniform distribution on the skin. Notably, the isoeugenol-liposomal gel was smooth on the surface with a pH of 6.4, suitable viscosity, and spreadability. Interestingly, the developed isoeugenol-liposomal gel was safe for human use, with more than 80% cell viability. The in vitro drug release study shows promising results with 75.95 ± 3.79% of drug release after 24 h. The minimum inhibitory concentration (MIC) was 8.236 µg/mL. Based on this, it can be concluded that encapsulating isoeugenol into the liposomal gel is a potential carrier for MRSA treatment.
AN ADAPTIVE OPTICS MULTIPLICITY CENSUS OF YOUNG STARS IN UPPER SCORPIUS

We present the results of a multiplicity survey of 91 stars spanning masses of ∼0.2–10 M☉ in the Upper Scorpius star-forming region, based on adaptive optics imaging with the Gemini North telescope. Our observations identified 29 binaries, 5 triples, and no higher order multiples. The corresponding raw multiplicity frequency is 0.37 ± 0.05. In the regime where our observations are complete—companion separations of 0. ″1–5″ (∼15–800 AU) with magnitude limits ranging from K < 9.3 at 0. ″1 to K < 15.8 at 5″—the multiplicity frequency is 0.27. For similar separations, the multiplicity frequency in Upper Scorpius is comparable to that in other dispersed star-forming regions, but is a factor of two to three higher than in denser star-forming regions or in the field. Our sample displays a constant multiplicity frequency as a function of stellar mass. Among our sample of binaries, we find that both wider (>100 AU) and higher-mass systems tend to have companions with lower companion-to-primary mass ratios. Three of the companions identified in our survey are unambiguously substellar and have estimated masses below 0.04 M☉ (two of them are new discoveries from this survey—1RXS J160929.1−210524b and HIP 78530B—although we have reported them separately in earlier papers). These three companions have projected orbital separations of 300–900 AU. Based on a statistical analysis factoring in sensitivity limits, we calculate an occurrence rate of 5–40 MJup companions of ∼4.0% for orbital separations of 250–1000 AU, compared to <1.8% at smaller separations, suggesting that such companions are more frequent on wider orbits.
Robust zero-watermark algorithm based on non-subsampled shearlet transform and QRdecomposition

A novel zero-watermark algorithm is proposed based on non-subsampled shearlet transform(NSST) and QR decomposition for copyright protection of digital images.In this method,the host image is processed with NSST firstly,and a sub-image is extracted from the low-frequency component randomly by the Logistic chaotic system.Then the sub-image is divided into non-overlapping sub-blocks,and each sub-block is processed with QR decomposition,so the zero-watermark is derived by judging the numerical relationship between vector l1 norm from the first row elements of each sub-block's R-matrix and the mean of vector l1 norms from the first row elements of all sub-blocks' R-matrices.Experimental results show that the method is very robust to adding noise,filtering,JPEG compression and cropping,and can resist on the geometrical attack of rotation,scaling and translations(RST) to some extent.
Metrics for maternity unit staffing in low resource settings: Scoping review and proposed core indicator

Background The lack of usable indicators and benchmarks for staffing of maternity units in health facilities has constrained planning and effective program implementation for emergency obstetric and newborn care (EmONC) globally. Objectives To identify potential indicator(s) and benchmarks for EmONC facility staffing that might be applicable in low resource settings, we undertook a scoping review before proceeding to develop a proposed set of indicators. Eligibility criteria Population: women attending health facilities for care around the time of delivery and their newborns. Concept: reports of mandated norms or actual staffing levels in health facilities. Context studies conducted in healthcare facilities of any type that undertake delivery and newborn care and those from any geographic setting in both public and private sector facilities. Sources of evidence and charting Searches were limited to material published since 2000 in English or French, using Pubmed and a purposive search of national Ministry of Health, non-governmental organization and UN agency websites for relevant documents. A template for data extraction was designed. Results Data extraction was undertaken from 59 papers and reports including 29 descriptive journal articles, 17 national Ministry of Health documents, 5 Health Care Professional Association (HCPA) documents, two each of journal policy recommendation and comparative studies, one UN Agency document and 3 systematic reviews. Calculation or modelling of staffing ratios was based on delivery, admission or inpatient numbers in 34 reports, with 15 using facility designation as the basis for staffing norms. Other ratios were based on bed numbers or population metrics. Conclusions Taken together, the findings point to a need for staffing norms for delivery and newborn care that reflect numbers and competencies of staff physically present on each shift. A Core indicator is proposed, “Monthly mean delivery unit staffing ratio” calculated as number of annual births/365/monthly average shift staff census.
Vertices of Mather's beta function

Given a Lagrangian L, Mather introduced the $\beta$-function of L, which is a convex function. Many interesting properties of the Euler–Lagrange flow can be derived from the study of the behaviour of the $\beta$-function. In this work we obtain some links between the vertices of the $\beta$-function and the Hausdorff dimension of the associated invariant measures, from which we recover a result of differentiability of the $\beta$-function.