Miracle-dz/UniFAR-FTUs huggingface dataset:
Message Frame–Tailoring in Digital Health Communication: Intervention Redesign and Usability Testing

Background Message frame–tailoring based on the need for autonomy is a promising strategy to improve the effectiveness of digital health communication interventions. An example of a digital health communication intervention is Personal Advice in Stopping smoking (PAS), a web-based content-tailored smoking cessation program. PAS was effective in improving cessation success rates, but its effect sizes were small and disappeared after 6 months. Therefore, investigating whether message frame–tailoring based on the individual’s need for autonomy might improve effect rates is worthwhile. However, to our knowledge, this has not been studied previously. Objective To investigate whether adding message frame–tailoring based on the need for autonomy increases the effectiveness of content-tailored interventions, the PAS program was redesigned to incorporate message frame–tailoring also. This paper described the process of redesigning the PAS program to include message frame–tailoring, providing smokers with autonomy-supportive or controlling message frames—depending on their individual need for autonomy. Therefore, we aimed to extend framing theory, tailoring theory, and self-determination theory. Methods Extension of the framing theory, tailoring theory, and self-determination theory by redesigning the PAS program to include message frame–tailoring was conducted in close collaboration with scientific and nonscientific smoking cessation experts (n=10), smokers (n=816), and communication science students (n=19). Various methods were used to redesign the PAS program to include message frame–tailoring with optimal usability: usability testing, think-aloud methodology, heuristic evaluations, and a web-based experiment. Results The most autonomy-supportive and controlling message frames were identified, the cutoff point for the need for autonomy to distinguish between people with high and those with low need for autonomy was determined, and the usability was optimized. Conclusions This resulted in a redesigned digital health communication intervention that included message frame–tailoring and had optimal usability. A detailed description of the redesigning process of the PAS program is provided. Trial Registration Netherlands Trial Register NL6512 (NRT6700); https://www.trialregister. nl/trial/6512
Lessons Learned from Topic Modeling Analysis of COVID-19 News to Enrich Statistics Education in Korea

This study aimed to investigate how mass media in Korea dealt with various issues arising from COVID-19 and the implications of this on statistics education in South Korea during the recent pandemic. We extracted news articles with the keywords “Corona” and “Statistics” from 18 February to 20 May 2020. We employed word frequency analysis, topic modeling, semantic network analysis, hierarchical clustering, and simple linear regression analysis. The main results of this study are as follows. First, the topic modeling analysis revealed four topics, namely “macroeconomy”, “domestic outbreak”, “international outbreak”, and “real estate and stocks”. Second, a simple linear regression analysis displayed two rising topics, “macroeconomy” and “real estate and stocks” and two falling topics, “domestic outbreak” and “international outbreak” regarding the statistics related to COVID-19 as time passed. Based on these findings, we suggest that the high school mathematics curriculum of Korea should be revised to use real-life context to enable integrated education, social justice for statistics education, and simple linear regression analysis.
Automated human chromosome segmentation and feature extraction: Current trends and prospects

Automated human chromosome segmentation and feature extraction aim to improve the overall quality of genetic disorder diagnosis by addressing the limitations of tedious manual processes such as expertise dependence, time-inefficiency, observer variability and fatigue errors. Nevertheless, significant differences caused by staining methods, chromosome damage which may occur during imaging, cell and staining debris, inhomogeneity, weak boundaries, morphological variations, premature sister chromatid separation, as well as the presence of overlapping, touching, di-centric and bent chromosomes pose challenges in automated human chromosome segmentation and feature extraction. This review paper extensively discusses how the approaches presented in literature have addressed these challenges, and their strengths and limitations. Human chromosome segmentation algorithms are presented under four broad categories; thresholding, clustering, active contours and convex-concave points-based methods. Chromosome feature extraction methods are discussed under two main categories based on banding-pattern and geometry. In addition, new insights for the improvement of fully automated karyotyping are provided.
Voltage balancing control of isolated modular multilevel dc–dc converter for use in dc grids with zero voltage switching

The isolated modular multilevel dc–dc converter (IMMDCC) constructed by two modular multilevel converters (MMCs) and a medium frequency transformer is attractive for medium- and high-voltage dc-grid applications by offering the following features: the modular multilevel structure can handle high voltages with the series connection of lower voltage submodules; the MMC operating manner reduces the current stress of the switches by dividing the ac currents among the phase-legs; using the square-wave modulation scheme can increase the power capacity meanwhile, achieve zero-voltage switching operation. In the square-wave modulation scheme of IMMDCC, the voltage balancing control of the floating capacitors needs further investigation since the unmatched losses and circuit parameters lead to the deviation of the voltages. In this study, a capacitor voltage balancing control strategy that does not rely on the detection of the arm currents is presented by introducing small delay times among the switching pulses of the submodules, meanwhile dv/dt in the ac link is reduced by doing so. Soft-switching boundary analysis imposes constraints on the balancing method to achieve zero-voltage switching of the converter. Experimental results have confirmed the correctness of the theoretical analysis as well as the effectiveness of the proposed control strategy.
Approximating Input-Output Curve of Pumped Storage Hydro Plant: A Disjunctive Convex Hull Method

Pumped storage hydro (PSH) plant is a valuable resource with storage and fast ramp capabilities, which can manage the intermittency of renewable energy. An accurate model for the input-output curve of PSH plant can capture its varying efficiency feature and enable accurate evaluations of available generating/pumping capability. However, the trade-off between approximation accuracy and computation time poses a significant challenge for input-output curve modeling. In this paper, we develop a hypograph-relaxation-based input-output curve modeling framework, wherein sufficient conditions for exact hypograph relaxation are defined, proved, and analyzed for fixed-speed PSH considering the value of water in the upper reservoir. Under this framework, a novel disjunctive convex hull model is proposed to balance the aforementioned trade-off. Our model can take advantage of high accuracy in time-consuming piece-wise approximation models, and acceptable computation burden in less-accurate convex hull models. To divide a given input-output curve into various components that can be approximated by their respective convex hulls, we propose to use an approximate convex decomposition (ACD) based approach. The proposed model is tested for profit maximization problems using real-world Ludington PSH station data. Numerical results demonstrated the superior computational advantage of the proposed approach.
Currency hedging behavior for stock returns uncertainty in Ghana

ABSTRACT This article investigates the dynamic interaction between stock market returns and exchange rate movement and their implication for portfolio risk management in Ghana. To do so, and considering the Covid-19 crisis, the Dynamic Conditional Correlation Multivariate GARCH estimation technique was employed on daily data for Ghana Stock Exchange (GSE) Composite Index and the Ghana Cedi to USD, Euro, and GBP exchange rates from 3 January 2012 to 26 November 2021. The results revealed that: (i) the GSE market has no significant exposure to the USD, Euro, and GBP exchange rates in the full sample and periods before the crisis but was significantly exposed to the Euro rates during the crisis, (ii) the returns on holding foreign currencies were relatively higher but riskier compared to returns on stocks for the full sample and periods before the crisis, and (iii) while the Euro rates act as the most efficient hedge currency for stock returns uncertainty the correlations between stock returns and exchange rate movement were generally low and therefore, forming a portfolio of stocks and currency pairs improved an investor’s daily returns and risk. Based on the findings, relevant policy suggestions are offered to guide investors and policymakers.
Fatiga local y general: efectos sobre la propiocepción de rodilla en futbolistas

El objetivo del presente estudio fue contrastar los efectos de dos tipos de fatiga, local y general, sobre la propiocepción de la rodilla. 22 jugadores semi-profesionales de fútbol, fueron evaluados en un dinamómetro isocinético antes y después de realizar esfuerzos que indujeron fatiga muscular local así como fatiga general. Dicha evaluación se basó en la prueba de reposicionamiento angular activo de la rodilla, registrando las desviaciones absolutas y relativas respecto al ángulo diana (30º de flexión). La inducción de ambos tipos de fatiga consiguió alterar de forma significativa la capacidad propioceptiva de los sujetos tras valorar únicamente el error absoluto, si bien no se observaron diferencias significativas en su contraste. En conclusión, e independientemente de su tipología, la fatiga inducida a estos futbolistas parece influir sobre la propiocepción de sus rodillas, aunque este efecto está condicionado por el tipo de error angular que se considere.
Meta‐analysis and traditional systematic literature reviews—What, why, when, where, and how?

Meta ‐ analysis is a research method for systematically combining and synthesizing findings from multiple quantitative studies in a research domain. Despite its importance, most literature evaluating meta ‐ analyses are based on data analysis and statistical discussions. This paper takes a holistic view, comparing meta ‐ analyses to traditional systematic literature reviews. We described steps of the meta ‐ analytic process including question definition, data collection, data analysis, and reporting results. For each step, we explain the primary purpose, the tasks required of the meta ‐ analyst, and recommendations for best practice. Finally, we discuss recent developments in meta ‐ analytic techniques, which increase its effectiveness in business research. Abstract Summarizing a meta ‐ analytic study in a short paragraph can be a challenging task. The meta ‐ analyst should mention the main relationships explored in the meta ‐ analysis, and explain its importance (Cooper, The of studies and observations should be
Cloud Point Microextraction of Sudan IV from Food and Cosmetics with Determination by Spectrophotometry

Abstract A cloud point extraction (CPE) procedure has been developed for the separation andpreconcentration of Sudan IV with spectrophotometric detection at 520 nm. The analytical parameters including pH, surfactant type, surfactant mass, alcohol type and volume, and matrix effects were optimized. Sudan IV was quantitatively recovered at pH 6.0 using Tergitol 15-S-7 and 1-pentanol. The limit of detection (LOD), limit of quantification (LOQ) and preconcentration factor (PF) were 30.6 ng mL−1, 102 ng mL−1 and 50, respectively. The presented cloud point extraction method was applied to determine Sudan IV in chili-containing foods and cosmetics.
Popular Art, Crime and Urban Order Beyond the State

This article engages with current discussions on the politics of aesthetics to theorize the role of popular art in reproducing or contesting urban orders. Specifically, we engage with scholars who have taken up the work of Jacques Rancière to understand how power structures are normalized through ‘the distribution of the sensible’. Building on and critically engaging with debates on the ‘post-political city’, we suggest that all too often scholars fall back on a binary, state-centric approach that depicts non-state popular aesthetics as either revolutionary and disruptive, or as indicative of an alternative form of oppression. Drawing on our work in Kingston, Jamaica, and Rio de Janeiro, Brazil, we argue that sensorial-political, art-based urban struggles shape multiple urban orders that are distinct but not necessarily antagonistic. Applying Stuart Hall’s work on popular culture to contexts of criminal governance, we show how art is often simultaneously supportive and disruptive of urban orders.
Modified TE modes of metal waveguide with integrated graphene structure in the sub-terahertz frequency range

The dispersion equation for waveguide modes of rectangular metal waveguides containing a dielectric buffer/graphene/air gap layered structure has been derived in the approximation of perfectly conducting metal waveguide walls. Dispersion dependences of TE0m modes for sub-terahertz frequencies were analysed against buffer layer thickness and Fermi energy level of graphene electrons. For the first time, it is demonstrated that the waveguide modes can be substantially modulated by tuning the electron Fermi energy level in graphene, especially near the regions of strong waveguide mode modifications. This enables the potential for future designs of amplitude and phase modulators for sub-THz waves in metal waveguides filled with an integrated graphene structure.
Comparing Policies to Improve Water Quality when Dischargers of Pollutants are Strategic

Abstract Market-based instruments such as fees or tradable permits can be used to simultaneously regulate point and nonpoint sources of pollution discharge into a river. However, sources of pollution discharge often have more information about their own costs of pollution abatement than do regulators. This information asymmetry may lead to strategic behavior, which can lead to different outcomes under different policies. This paper estimates a Nash payoff of a two-period strategic game using econometrically estimated abatement costs for point and nonpoint source phosphorus discharges in the Minnesota River Basin. Results show that when dischargers of pollutants are strategic, discharge permits may yield lower deadweight losses than discharge fees.
Motorcycle Stability Control - The Next Generation of Motorcycle Safety and Riding Dynamics

<div class="section abstract"><div class="htmlview paragraph">Anti-lock Braking Systems (ABS) for motorcycles have already contributed significantly to the safety of powered two-wheelers (PTW) on public roads by improving bike stability and controllability in emergency braking situations. </div><div class="htmlview paragraph">In order to address further riding situations, another step forward has been achieved with Motorcycle Stability Control (MSC) system. By combining ABS, electronically combined braking system (eCBS), traction control and inertial sensors even in situations like braking and accelerating in corners the riders' safety can be improved. The MSC system controls the distribution of braking and traction forces using an algorithm that takes into account all available vehicle information from wheels, power train and vehicle attitude. With its ability to control fundamental vehicle dynamics, the MSC system will be a basis for further development and integration of comprehensive safety systems. </div><div class="htmlview paragraph">The contribution of ABS towards motorcycle safety has been confirmed by numerous international research studies, making it the safety technology with the highest possible benefit for motorcycles available today. Recent investigations by Bosch accident researchers show the contribution of the MSC system to further increase the safety benefit for motorcycle riders by extending the acceleration and braking control functions to cover more riding situations. The MSC systems could avoid more than every 3<sup>rd</sup> accident with casualties involving a motorcycle in Germany. </div><div class="htmlview paragraph">This paper focuses on these new motorcycle technologies developed with centralized system architecture and their safety benefits in preventing and mitigating motorcycle accidents with injuries and fatalities. </div></div>
Riesgo Y Resiliencia: Exploring the Role of Parenting Stress and Self-efficacy on Young Latino Children’s Well-being and Home Learning Experiences during COVID-19

ABSTRACT The current study explored the associations between parenting stress and p\arental self-efficacy on children’s social-emotional functioning and home learning practices among Latino families. Families were recruited as part of a pilot study of a parent-focused school readiness intervention that was conducted via telehealth during the COVID-19 pandemic. The sample was comprised of children (Mage = 3.02 years; 64% male) enrolled in Early Head Start, and their parents (97% biological mothers). At baseline, parents reported on family demography, parenting stress, involvement in home learning activities (i.e., literacy and math), their self-efficacy in managing a range of situations related to raising young children, and children’s social-emotional functioning. Study findings indicated that parenting stress was negatively associated with parent’s home literacy involvement, but not with home math involvement. Results also indicated that parental self-efficacy moderated the relationship between parenting stress and children’s social-emotional functioning, specifically externalizing and internalizing problems. Lastly, results indicated a positive association between parenting stress and children’s adaptive skills. Findings from the current study help elucidate our understanding of the psychological well-being of young Latino children and families during COVID-19, and will potentially inform future efforts aimed at supporting Latino parents’ well-being and children’s early learning experiences during a global health crisis.
Sexual systems of Tropical Dry Forest trees in restored habitats

Background: Obligate outcrossing species (such as dioecious species) are more vulnerable to habitat fragmentation than self-compatible hermaphrodite trees. Questions: What is the effect of restoration intervention in the populations of dioecious, monoecious, and hermaphrodite tree species in permanent agricultural landscapes? Study site and dates: 8-year-old restoration settings in the seasonally dry tropical forest in Sierra de Huautla Biosphere Reserve, Morelos, Mexico. Methods: We measure richness and density of dioecious, monoecious, and hermaphrodite tree species with Diameter at Breast Height ≥ 2.5 cm in perturbed, 8-year-old restoration settings (plantings and natural succession) and conserved habitats. Results: Overall habitats, 2,042 trees from 46 species in 18 families were identified; the highest percentage of species and trees were hermaphrodites (63 % of species and 78 % of trees), the lowest percentage of species were monoecious (9 %) and the lowest percentage of trees (10 %) were dioecious. In the plantings were registered the largest number of species (37 species) and in the conserved habitat the largest number of trees (852 trees). Density and richness of dioecious, monoecious, and hermaphrodite species did not differ by habitat, contrary to our predictions. For dioecious trees, the restored and conserved habitats showed similar composition heterogeneity. Composition of hermaphrodites in agricultural landscapes differed the most with the conserved habitat. Conclusions: Dioecious and monoecious species are favored in agricultural landscapes due to their use value. Selection of species for restoration plantings should consider sexual systems of trees to recover not only forest structure but also ecosystem function.
Nano-Based Drug Delivery Systems of Potent MmpL3 Inhibitors for Tuberculosis Treatment

Tuberculosis remains one of the world’s deadliest infectious diseases, accounting for nearly 1.3 million deaths every year. Tuberculosis treatment is challenging because of the toxicity, decreased bioavailability at the target site of the conventional drugs and, most importantly, low adherence of patients; this leads to drug resistance. Here, we describe the development of suitable nanocarriers with specific physicochemical properties to efficiently deliver two potent antimycobacterial compounds. We prepared nanoemulsions and niosomes formulations and loaded them with two different MmpL3 inhibitors previously identified (NEs + BM635 and NIs + BM859). NEs + BM635 and NIs + BM859 were deeply characterized for their physicochemical properties and anti-mycobacterial activity. NEs + BM635 and NIs + BM859 showed good hydrodynamic diameter, ζ-Potential, PDI, drug-entrapment efficiency, polarity, and microviscosity and stability. Even though both formulations proved to perform well, only NIs + BM859 showed potent antimycobacterial activity against M. tuberculosis (MIC = 0.6 µM) compared to that of the free compound. This is most probably caused by the fact that BM635, being highly hydrophobic, encounters maximum hindrance in diffusion, whereas BM859, characterized by high solubility in aqueous medium (152 µM), diffuses more easily. The niosomal formulation described in this work may be a useful therapeutic tool for tuberculosis treatment, and further studies will follow to characterize the in vivo behavior of the formulation.
Low‐insertion‐loss planar four‐way Gysel power divider with high isolation employing two‐layer substrates

This paper presents a kind of novel planar four‐way Gysel power divider that has high isolation and low insertion loss (IL). This power divider adopts two‐layer substrates. The power divider circuit and isolation circuit are on different layers. For analysis and design, an equivalent circuit is given. The relationship between the impedance of the matching section and the working bandwidth is analyzed. The design process is given to illustrate a specific method that also applies to the N‐way Gysel power divider. For verification, a prototype is designed, manufactured. The measured results show that IL is 6.3 ± 0.1 dB approximately. The 20 dB relative isolation bandwidth achieves 45%. Between 1.88 and 2.64 GHz, the input return loss (RL) achieves 15 dB. And between 1.78 and 2.75 GHz, the output RL is better than 15 dB.
Embedded Microprocessor Extension Design and Optimization for Real-Time Edge Computing

With the development of 5G communication technology, more and more applications could be integrated into one system. Edge computing system and mixed-criticality system may integrate tasks of different criticality levels, which brings better balance in isolation and performance. Such advantages make it gradually become a research hotspot in edge computing and real-time systems with 5G. The important content of designing a mixed-criticality system is how to reduce interference between tasks and how to schedule tasks efficiently to ensure that tasks of different criticality levels can meet time constraints. Instruction extension and hardware software cooperative support may be an effective solution. Based on a fine-grained multithreaded RISC-V processor, this article gives some extensions for real-time operations and proposes a hardware software cooperative real-time scheduling mechanism. Experimental results show that, compared with FlexPRET hardware, the performance of thread scheduling is improved by 22.94% on average. Compared with software scheduling, the performance of scheduling same programs and multiple programs are improved by 15.46% and 26.00%, respectively.