Miracle-dz/UniFAR-FTUs huggingface dataset:
Large Signal Analysis on Variations of the Hybridized Dickson Switched-Capacitor Converter

Dickson-type dc–dc converters have gained renewed interest in recent years due to their best-in-class volt-amp switch utilization. In addition, “hybrid” switched-capacitor (HSC) structures increase passive component utilization while avoiding the slow-switching limit (SSL), and yet, most HSC work to date has done little to assess large signal voltage ripple behavior and subsequent passive utilization limits. This work contributes a comprehensive review of contemporary Dickson-type HSC converters before introducing eight fundamental reduced HSC Dickson structures, including three that are proposed here. Analysis allowing characterization of large signal operating points, capacitor sizing regimes, switching schemes, and maximum allowable power throughput is introduced. The analysis for “split-phase” switching is also presented in detail, without making small ripple approximations. Furthermore, an expression for large ripple flying capacitor energy density utilization is derived, assisting with optimal topology selection and revealing that split-phase operation may be preferable for conversion ratios greater than 6:1. All analysis is verified in simulation, with an additional discrete hardware prototype further validating a complex case of resonant split-phase timing. The analytical results of 17 distinct Dickson variations are recorded, assisting with topology selection and design.
Evidências da contabilidade e capacidades de absorção no processo de sucessão familiar e continuidade da atividade rural

Resumo: Motivado por investigar aspectos sucessórios no agronegócio, buscou-se analisar a contabilidade e as capacidades de absorção (potencial e realizada) como determinantes para o processo de sucessão familiar e a continuidade da atividade rural. Os dados foram obtidos por meio da aplicação de questionário com produtores rurais da região central do Rio Grande do Sul. A amostra é composta por 200 respondentes. A análise dos dados foi realizada por meio de modelagem de equações estruturais. Para os produtores rurais a sucessão é um processo que ocorre de forma gradual, quando o sucessor estiver apto para assumir as responsabilidades, porém, a maioria não possui sucessores definidos. No modelo validado, a contabilidade explica 10% da sucessão familiar rural; e contabilidade e capacidade de absorção potencial explicam 25,6% a continuidade da atividade rural. Este estudo reduz a lacuna na literatura científica sobre contabilidade, capacidades de absorção, sucessão familiar e continuidade da atividade rural, temáticas raramente retratadas conjuntamente. A pesquisa implica em melhorar a gestão das propriedades rurais frente às temáticas de sucessão familiar e continuidade da atividade rural, realçando a prática da contabilidade junto ao agronegócio. Isso também reflete em fomento para atuação da classe contábil.
Application of extracellular vesicles from mesenchymal stem cells promotes hair growth by regulating human dermal cells and follicles

BACKGROUND Dermal papillae (DP) and outer root sheath (ORS) cells play important roles in hair growth and regeneration by regulating the activity of hair follicle (HF) cells. AIM To investigate the effects of human mesenchymal stem cell-derived extracellular vesicles (hMSC-EVs) on DP and ORS cells as well as HFs. EVs are known to regulate various cellular functions. However, the effects of hMSC-EVs on hair growth, particularly on human-derived HF cells (DP and ORS cells), and the possible mechanisms underlying these effects are unknown. METHODS hMSC-EVs were isolated and characterized using transmission electron micro scopy, nanoparticle tracking analysis, western blotting, and flow cytometry. The activation of DP and ORS cells was analyzed using cellular proliferation, migration, western blotting, and real-time polymerase chain reaction. HF growth was evaluated ex vivo using human HFs. RESULTS Wnt3a is present in a class of hMSC-EVs and associated with the EV membrane. hMSC-EVs promote the proliferation of DP and ORS cells. Moreover, they translocate β-catenin into the nucleus of DP cells by increasing the expression of β-catenin target transcription factors (Axin2, EP2 and LEF1) in DP cells. Treatment with hMSC-EVs also promoted the migration of ORS cells and enhanced the expression of keratin (K) differentiation markers (K6, K16, K17, and K75) in ORS cells. Furthermore, treatment with hMSC-EVs increases hair shaft elongation in cultured human HFs. CONCLUSION These findings suggest that hMSC-EVs are potential candidates for further preclinical and clinical studies on hair loss treatment.
Selection for Lean Growth Rate in a Synthetic Line of YorkshireMeishan Pigs 2. Correlated Responses in Litter Traits

and Implications Correlated responses for litter traits in a synthetic line of Yorkshire-Meishan pigs selected for lean growth rate were studied in 133 litters and 1,057 pigs. The following traits were studied: total number born; number born alive; number nursed at 21 and 42 days; litter weights at birth, 21 and 42 days; piglet weights at birth, 21and 42 days; and nipple number. Correlated responses were estimated by two methods: deviation of the selected line from a control line and multiple trait derivative free restricted maximum likelihood. Generally, estimates from the two methods were similar but tended to be more precise for the latter. Correlated responses based on the two methods were regressed on generation and cumulative selection differential. These regression coefficients were negative (P>.05) for total number born by method 1, and for number born alive and number at 21 and 42 days by method 1 and method 2. In method 1, statistically significant correlated responses occurred in 42-day litter weight and 21-day piglet weight. In method 2, statistically significant correlated responses occurred only in 42-day litter weight. Coefficients were positive (P>.05) for individual and litter weights at birth and 42 days and for 21-day litter weight by method 2. Selection for lean growth rate should have little effect on litter traits.
Insight into Significance of Bioconvection on MHD Tangent Hyperbolic Nanofluid Flow of Irregular Thickness across a Slender Elastic Surface

This numerical investigation effectively establishes a unique computing exploration for steady magnetohydrodynamic convective streams of tangent hyperbolic nanofluid traveling across a nonlinearly elongating elastic surface with a variable thickness. In addition, the importance of an externally imposed magnetic field of tangent hyperbolic nanofluid is comprehensively analyzed by considering the substantial impact of thermal conductivity and thermal radiation consequences. The governing PDEs (partial differential equations) are transmuted into a nonlinear differential structure of coupled ODEs (ordinary differential equations) using a series of variable similarity transformations. Furthermore, these generated ODEs (ordinary differential equations) are numerically set using a novel revolutionary Runge-Kutta algorithm with a shooting approach constructed in a MATLAB script. In this regard, extensive comparison studies are carried out to validate the acquired numerical results. The interactions between the associated profiles and the relevant parameters are rationally explored and shown using graphs and tabular forms. The velocity distribution declined with improving Weissengberg number We and power-law index m, while the reverse performance can be observed for temperature. As enhancement in Brownian motion, Thermophoretic and radiation parameters significantly rise in temperature distribution. The use of many different technological and industrial systems, including nano-bioconvective systems, nano-droplet evaporation, nano-ink jet printing, and microbial fuel cells, would benefit this research study.
Using relative return‐on‐effort scoring to evaluate a novel coral nursery in Malaysia

Coral reefs in Malaysia have been degraded by environmental and anthropogenic stressors, and enthusiasm for coral propagation aimed at site restoration is rapidly growing as a local management tool. However, coral propagation activities in the region are in their infancy and little data currently exists to guide and inform effective practices. We therefore established the first multi‐taxa coral tree nursery (6 species and 300 fragments) in Malaysia and tracked survival and growth to determine the relative return‐on‐effort (RRE) over an approximately 14‐month monitoring period. We observed differences in growth and survival among six coral species and were successful at benchmarking results against coral restoration operations globally and in the East Asian Seas region. Major findings include (1) overall ranges in species level survivorship of 34–94% and specific growth rate of 0.14–0.29%/day, leading to variable RRE scores among species, (2) variable growth rates among coral species based on seasonal changes in environmental conditions, (3) similar RRE scores to other nursery locations worldwide, which suggests effective practice, and (4) calculation of RRE scores for species not previously reported in nursery culture (Acropora florida, A. hoeksemai, and Echinopora horrida). Ultimately, our study supports previous findings that RRE is an effective technique for comparing coral nursery performance and offers valuable insight to guide future restoration activities in Malaysia.
Grid-Forming Hybrid Angle Control and Almost Global Stability of the DC–AC Power Converter

This article introduces a new grid-forming control for a grid-connected dc–ac power converter, termed hybrid angle control (HAC) that combines the dc-based matching control with a novel nonlinear angle feedback reminiscent of (though not identical to) classic droop control. The synthesis of HAC is inspired by the complementary benefits of the dc-based matching and ac-based grid-forming controls as well as ideas from direct angle control and nonlinear damping assignment. The proposed HAC is applied to a nonlinear converter model that is connected to an infinite bus or a center-of-inertia dynamic grid models. We provide parametric sufficient existence, uniqueness, stability, and boundedness conditions that are met by appropriate choice of control parameters. Next, we take into account the safety constraints of power converter, and synthesize a new current-limiting control that is compatible with HAC. Last, we present details on the practical implementation of HAC that are followed by a robustness analysis (which showcases a theory–practice gap), uncover the HAC droop behavior, derive a feedforward-like ac voltage and power control, and illustrate the behavior of the system with simulation case studies.
The Future of Fishing for Fun: The Economics and Sustainable Management of Recreational Fisheries

The management of recreational fisheries has received relatively little research attention from economists. Nevertheless, recreational fisheries generate substantial economic benefits and ecological impacts in many freshwater and marine systems, although they frequently face a range of management challenges. In this article we consider the endogenous feedbacks and exogenous stressors within the coupled human-natural system of recreational fisheries that threaten their efficient and sustainable management, and we review the potential role of economics in addressing these challenges. We discuss key similarities and differences between commercial and recreational fisheries and the implications of the differences for the theory and practice of managing recreational fisheries. Finally, we identify important research gaps that must be addressed to enable policy makers to more accurately weigh the costs and benefits of changes to recreational fishery policies.
The two-valued iterative systems of mathematical logic

*Frontmatter, pg. i*CONTENTS, pg. vi*INTRODUCTION, pg. 1*Part I. PRELIMINARIES, pg. 10*PART II. DERIVATION OP CLOSED SYSTEMS, pg. 43*PART III. CO-ORDINATION AND APPLICATION, pg. 96*BIBLIOGRAPHY, pg. 119
Uncovering Hierarchical Regulation among MYB-bHLH-WD40 Proteins and Manipulating Anthocyanin Pigmentation in Rice

Anthocyanins accumulate in various organs of rice, and the regulatory genes involved in pigmentation of specific organs, such as pericarp, hull, leaf, apiculus, and stigma have been elucidated. However, the corresponding gene for rice culm pigmentation has not been clarified. The well-known MYB-bHLH-WD40 (MBW) complex plays vital role in regulating the anthocyanin biosynthesis pathway in plants. However, the core members of MBW and the hierarchical regulation between these members are not fully elucidated in rice. Here, by map-based cloning, we identified the culm-specific pigmentation gene S1 whose alleles are also known for hull/pericarp pigmentation. We also clarified that one WD40 protein encoding gene, WA1, is indispensable for anthocyanin biosynthesis in rice. In the cascading regulation among MBW members, S1 (bHLH) acts as the master gene by activating the expression of C1 (MYB), and then C1 activates the expression of WA1 (WD40), which is unique in plant species. This enables MBW members to be coordinated in a common way to efficiently regulate anthocyanin biosynthesis genes. Based on these studies, we explored the minimal gene set required for anthocyanin biosynthesis in rice. These findings will help us design new rice varieties with anthocyanin accumulation in specific organs as needed.
Recovering the 3D UUV Position using UAV Imagery in Shallow-Water Environments

In this paper we propose a novel approach aimed at recovering the 3D position of an UUV from UAV imagery in shallow-water environments. Through combination of UAV and UUV measurements, we show that our method can be utilized as an accurate and cost-effective alternative when compared to acoustic sensing methods, typically required to obtain ground truth information in underwater localization problems. Furthermore, our approach allows for a seamless conversion to geo-referenced coordinates which can be utilized for navigation purposes. To validate our method, we present the results with data collected through a simulation environment and field experiments, demonstrating the ability to successfully recover the UUV position with sub-meter accuracy.
Empirical analysis of the effect of work stress on employee productivity in the banking industry

This paper analyzes the effect of workplace stress on employee productivity in the service industry with reference to bankers. The study was carried out to identify the job stress of Nigerian bankers as it will be of interest to the management to evaluate their staff performance. The study used survey design with a sample size of 400 working staff from select banks in Benin City, Edo State; this was premised on the purposive sampling method. The study adopts primary data with the aid of questionnaire, which was administered to respondents to collect data. The data collected were analyzed using regression analysis. The result from the regression analysis indicated that employee workload, role ambiguity, and role conflict were statistically significant with a value of P &gt; 0.05. The value of the Adjusted R2 of 64% reveals that the variability observed in the target variable is explained by the regression model. The study made recommendations that will enhance employee productivity in the banking industry in Nigeria.
Detection of vacA, cagA and iceA genes of H. pylori in dyspeptic patients and their association with clinical data and histopathological abnormalities

Background : Despite that most H. pylori infections are asymptomatic, some can develop major diseases like peptic ulcer and adenocarcinoma of stomach. Objectives : This study aimed to study the prevalence of H. pylori using real time PCR. Furthermore, detection of the cagA, iceA1, iceA2, vacA virulence genes and their relationship to clinical and histopathological alterations. Methods : Two gastric specimens were taken from every patient endoscopically, one of them was sent to histopathological analysis and the second biobsy was minced into tiny parts for real time PCR assay. Results : The results revealed that the prevalence of H. pylori was 66.67%. Thirty one (50%) of the studied strains harbored cagA gene. IceA gene was positive in 41.94%. The vacA gene was detected in all 62 (100%) samples. Many vacA gene subtypes were detected, the highest found was s1as1bm 20.97%. A significant association was detected between the endoscopic features and vacA presence. The subtypes of vacA: s2, m2,s1a1b, s1as1bm2, were related to gastritis, while s1a, s1b, m1were related to duodenal and stomach ulcers. No significant association between cagA presence and endoscopical or histopathological findings, but more than 66% of duodenal ulcers had positive cagA gene. There was a significant association between the iceA1 and iceA2 genes presence with gastritis and gastric ulcer. Conclusion the study of H. pylori virulence factors allows the clinician to identify high-risk patients caused by H. pylori infections.
Cross-Domain Consistent Fingerprint Denoising

Performance of the state-of-the-art fingerprint denoising model on poor-quality fingerprints degrades due to cross-domain shift observed between training and testing domains. To address this limitation, we present a cross-domain consistent fingerprint denoising model, which ensures that the output of two fingerprint images with the same ridge structure, however, varying contrast and ridge-valley clarity should be similar. Results indicate that the proposed CDC-GAN outperforms state-of-the-art fingerprint denoising algorithms on challenging publicly available poor-quality fingerprint databases.
APPLICATION OF REMOTE SENSING IN MONITORING FOREST COVER CHANGE AND CARBON DIOXIDE LEVELS AT KISATCHIE NATIONAL FOREST OF LOUISIANA

Abstract. It is estimated that the globe’s forest has shrunk by 3% since 1990, an area equivalence to the geographical boundaries of South Africa. The Kisatchie National Forest of Louisiana replicates plentiful climatic, physiographic and edaphic differences in the country and this forest faces a serious problem of degradation and disturbance of different nature. Remote sensing from satellites offers the best way to observe these changes over time. This study will employ Landsat-8 satellite imagery to analyze forest cover change in Kisatchie National Forest from 2010 to 2020. The objectives of the study are to (i) identify the trend, nature, and the magnitude of forest cover change, (ii) prepare image maps delineating forest cover change for the duration of the study (iii) establish the trend of CO2 levels within Kisatchie environs. Results showed a gain of forest cover within the Kisatchie National Forest which correlated to the rate of CO2 sequestration by sinks. NDVI of 2010 was 0.65 compared to 0.86 for 2020 indicating a gain of 32% of forest cover since 2010. This showed how effective Protected areas are in conserving forest cover and restricting land uses that may disturb forest structure.
Gesture recognition from RGB images using convolutional neural network‐attention based system

Hand gestures can be categorized based on their applications as conversational, manipulative, controlling, and communicative gestures. Hand gesture recognition is an aspect of human action recognition, which plays a notable role in communication among the deaf and dumb community. Accurate recognition and classification of hand gestures with similar postures is still a complex problem. The main objective of this work is to employ deep learning based convolutional neural networks for human action recognition. This article introduces a convolutional neural network based on VGG16 architecture with an attention approach to mitigate the issue. Incorporating an attention‐based module with the VGG16 architecture is the prime reason for potentially learning distinguishing image features by the network. Besides, the proposed robust system collectively recognizes and classifies all the available 36 hand gesture classes of the Massey database, where most previous work selected only a few distinguishable gestures. Experimental results show that the average recognition accuracy for characters with similar hand postures like “m” and “n” is better than the state‐of‐the‐art networks. Additionally, the proposed method attains about 3% higher recognition accuracy than the state‐of‐the‐art networks for all gesture classes. The efficacy of the proposed architecture has also been validated via precision, recall, and F‐score.
Volumetric measurement of the tongue and oral cavity with cone-beam computed tomography: A systematic review

Purpose The goal of this systematic review was to compare the use of cone-beam computed tomography (CBCT) with that of computed tomography (CT) for volumetric evaluations of the tongue and oral cavity. Materials and Methods A search for articles was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-analyses guidelines. The PubMed, Scopus, ScienceDirect, and SAGE Journals databases were searched for articles published between 2011 and 2021. Articles were screened and assessed for eligibility. Screening involved checking for duplication, reading the title and abstract, and reading the full text. Results The initial search retrieved 25,780 articles. Application of the eligibility criteria yielded 16 articles for qualitative analysis. Multiple uses of CBCT were identified. In several studies, researchers assessed the volumetric correlation between tongue and oral cavity volumes, as well as other parameters. Post-treatment volumetric evaluations of the oral cavity were also reported, and the reliability of CBCT was assessed. The use of CT resembled that of CBCT. Conclusion CBCT has been used in the evaluation of tongue and oral cavity volumes to assess correlations between those volumes and with the upper airway. It has also been used for volumetric evaluation after surgical and non-surgical procedures and to assess the relationships between tongue volume, tooth position, occlusion, and body mass index. Participants with obstructive sleep apnea and malocclusion have been evaluated, and the reliability of CBCT has been assessed. In the included studies, CT was utilized for similar purposes as CBCT, but its reliability was not assessed.
Spherical Matrix Ensembles

The spherical orthogonal, unitary, and symplectic ensembles (SOE/SUE/SSE) $S_\beta(N,r)$ consist of $N \times N$ real symmetric, complex hermitian, and quaternionic self-adjoint matrices of Frobenius norm $r$, made into a probability space with the uniform measure on the sphere. For each of these ensembles, we determine the joint eigenvalue distribution for each $N$, and we prove the empirical spectral measures rapidly converge to the semicircular distribution as $N \to \infty$. In the unitary case ($\beta=2$), we also find an explicit formula for the empirical spectral density for each $N$.