Miracle-dz/UniFAR-FTUs huggingface dataset:
Fibrosis Progression Rate in Biopsy-proven Nonalcoholic Fatty Liver Disease among People with Diabetes versus People without Diabetes: A Multicenter Study.

BACKGROUND AND AIMS There are limited data regarding fibrosis progression in biopsy-proven nonalcoholic fatty liver disease (NAFLD), between people with type 2 diabetes mellitus (T2DM) versus people without T2DM. We assessed the time to fibrosis progression in people with T2DM versus people without T2DM in a large, multicenter, study of people with NAFLD who had paired liver biopsies. METHODS This study included 447 adult participants (64% female) with NAFLD who had paired liver biopsies >1 year apart. Liver histology was systematically assessed by a central pathology committee blinded to clinical data. The primary outcome was the cumulative incidence of a ≥1-stage increase in fibrosis, compared between participants with T2DM versus participants without T2DM. RESULTS The mean (±SD) age and BMI were 50.9 (±11.5) years and 34.7 (±6.3) kg/m2, respectively. The median (IQR) time between biopsies was 3.3 (1.8-6.1) years. Participants with T2DM had a significantly higher cumulative incidence of fibrosis progression at 4-years (24% versus 20%), 8-years (60% versus 50%), and 12-years (93% versus 76%), P=0.005. Using a multivariable Cox proportional hazards model adjusted for multiple confounders, T2DM remained an independent predictor of fibrosis progression (adjusted hazard ratio 1.69, 95%CI 1.17 - 2.43, P=0.005). The cumulative incidence of fibrosis regression by ≥1 stage was similar between participants with T2DM versus participants without T2DM, (P=0.24). CONCLUSION In this large, multicenter cohort study of well-characterized participants with NAFLD and paired liver biopsies, we demonstrate that fibrosis progresses faster in participants with T2DM compared to participants without T2DM. These data have important implications for clinical practice and trial design.
The Altmetrics Hot 100: What Are the Most Influential Articles in Criminology and Criminal Justice?

Citation counts have commonly been used to measure “influence” of criminal justice and criminology (CCJ) scholars and articles. However, citation counts do not reflect influence outside of academia and thus may not be the best way to determine the true impact of scholarly work. This study uses the Altmetrics Attention Score (AAS) to measure which CCJ articles are the most influential in CCJ. Results demonstrate how AAS affects the ranking of “top” articles relative to the typical citation count measures. Implications for future ranking studies are discussed.
A New Look at Secondary Teachers' Conceptions of Mathematics and its

This article describes a statistical study of secondary teachers' concep- tions of, and beliefs about, mathematics and its teaching. A questionnaire was developed from the extant literature and distributed to all teachers of mathematics in 200 secondary schools drawn from three regions of England. A factor analysis of 577 responses identified five conceptions of mathematics and five of mathematics teaching. Correlations indicated that teachers tend to possess simultaneously disparate concep- tions of both mathematics and its teaching although, for most, there are dominant conceptions of mathematics manifested in (largely) commensurate beliefs about teach- ing. It is argued that the simultaneous possession of diverse conceptions may be a consequence of cultural and curricular ambiguities in respect of mathematics teaching in England. Some implications in respect of teachers being able to fulfil English National Curriculum requirements are discussed.
Enhanced secondary motion of the turbulent flow through a porous square duct

Direct numerical simulations of the fully developed turbulent flow through a porous square duct are performed to study the effect of the permeable wall on the secondary cross-stream flow. The volume-averaged Navier–Stokes equations are used to describe the flow in the porous phase, a packed bed with porosity ${\it\varepsilon}_{c}=0.95$ . The porous square duct is computed at $\mathit{Re}_{b}\simeq 5000$ and compared with the numerical simulations of a turbulent duct with four solid walls. The two boundary layers on the top wall and porous interface merge close to the centre of the duct, as opposed to the channel, because the sidewall boundary layers inhibit the growth of the shear layer over the porous interface. The most relevant feature in the porous duct is the enhanced magnitude of the secondary flow, which exceeds that of a regular duct by a factor of four. This is related to the increased vertical velocity, and the different interaction between the ejections from the sidewalls and the porous medium. We also report a significant decrease in the streamwise turbulence intensity over the porous wall of the duct (which is also observed in a porous channel), and the appearance of short spanwise rollers in the buffer layer, replacing the streaky structures of wall-bounded turbulence. These spanwise rollers most probably result from a Kelvin–Helmholtz type of instability, and their width is limited by the presence of the sidewalls.
Fabrication of high power microwave feed output window

Based on physic-optics and geometric-optics, a design method of high power microwave feed vacuum output window was discussed. For an X band, 1.5 GW pulse power handling ability gaussian feed, a dishing type of Teflon vacuum output window was fabricated, with a diameter of 548 mm, a height of 83.4 mm and a thickness of 33.4 mm. The test results are in good agreement with theoretics. The voltage standing wave ratio(VSWR) at the central frequency 9.3 GHz was 1.07. The band with VWSR less than 1.24 was 9%. The direction pattern of the feed with the dielectric window was the same as that without the dielectric window. The temperature distribution was analysed by one dimension stable heat transmission theory.
Anti-disturbance autopilot design for missile system via finite time integral sliding mode control method and nonlinear disturbance observer technique

In this paper, a composite anti-disturbance autopilot design for a missile system is proposed based on finite time integral sliding mode control scheme and nonlinear disturbance observer technique. First, a nonlinear disturbance observer is developed to estimate the external disturbances with partial known information. Second, in order to obtain good disturbance rejection performance and reject the other type of disturbances, a finite time integral sliding mode control strategy is employed to the design of a feedback controller. Third, an improved adaptive composite anti-disturbance autopilot is given to avoid the inaccuracy of the upper bound of external disturbances. Finally, simulation results are employed to demonstrate the effectiveness of the proposed method.
Anomalous transport in a toroidal plasma

Experimentally obtained data from the toroidal Blaamann device have been analysed. Blaamann is a simple magnetised torus with no rotational transform, and plasma is generated by a discharge from a hot filament emitting electrons. The data were obtained using a three pin Langmuir probe in combination with a stationary reference probe. Sampled floating potential and electron saturation currents from 19 different positions along the horizontal central line in a poloidal cross section, enabled us to study the turbulent transport within the plasma column. Several statistical properties of the data were investigated. The average transport of flux is outwards, with large fluctuations in signals near the filament, but decreasing with distance from the source. A clear and systematic relation between skewness and kurtosis was also identified. Through use of cross correlation functions and the conditional sampling technique we were able to investigate the nature of the anomalous transport, as well as identify coherent structures. These structures appear to be burst-like in nature, with a lifetime of ∼ 100 μs. There is some indication that these structures are vortex-like. The coherent structures propagate around the poloidal cross section along with the rest of the plasma column, rotating with the E × B/B-velocity, and at the same time transporting plasma radially out of the column, giving rise to spiral trajectories.
RTS-Net: efficient and accurate network for real-time tongue segmentation

The tongue organ has been widely studied by researchers because of its special status in Traditional Chinese Medicine (TCM). Doctors can determine the health condition of patients by observing their tongues. With the development of Artificial Intelligence (AI) technology, many efficient models have been designed for automated diagnosis, especially for mobile devices. In this way, many people can use the tongue diagnostic system deployed to mobile devices for health management. However, the small memory and low imaging quality of mobile devices have been limiting the efficiency of diagnosis. To address these problems, we design the efficient and accurate network for real-time tongue segmentation (RTS-Net) on mobile devices. The RTS-Net consists of two parts: lightweight ghost encoder for accurate feature extractor with less parameters and efficient decoder to recover the tongue details. Specially, we take GhostNet as backbone and remove its last avgpool layer, fully connection layer and pointwise convolution. Then, the ASPP module is adopted to capture multi-scale features and abstract semantics. We also design an efficient and accurate decoder to recover the resolution of features as well as compensate for feature details. We collect tongue images taken from mobile devices on the web and build the corresponding dataset to test the effectiveness of our model for low-quality images taken by mobile devices. Overall, the dataset contains images of tongues taken in different backgrounds, various angles, diverse ages and non-uniform lighting. Extensive experiments are conducted on our mobile tongue dataset and the result shows that proposed method is lightweight and accurate for mobile tongue segmentation.
NILAI EKONOMI TUMBUHAN (KAJIAN ETNOMEDISIN) OLEH MASYARAKAT ADAT MANDAR DI KECAMATAN LUYO, KABUPATEN POLEWALI MANDAR

One of the economic values of plants is that they can be used as medicine. Indonesian people since ancient times have used plants as traditional medicine. This knowledge has been passed down from generation to generation and there are differences between regions. This is due to differences in customs and experiences of people who use traditional medicine. Based on this, it is necessary to carry out an inventory or record of plants that act as medicines so that they can be properly documented. The purpose of this study was to obtain data on the types of plants used as traditional medicine by the local community. This research was conducted in West Pussui Village, Luwo District, Kab. Polewali Mandar, West Sulawesi. The method used is explorative which is descriptive qualitative in nature. The data collection technique used Participatory Rural Appraisal (PRA), through in-depth interviews covering the types of plants that can be used as medicine, their uses and how to mix the plants used. In addition to interviews, direct observation was also carried out to see the conditions at the research location. The technique of selecting respondents was done by snowball sampling. Data from interviews and observations were then presented in the form of pictures and tables and then analyzed using descriptive qualitative. The results showed that the people of the Mandar tribe used kirinyuh, guava, soursop, jatropha banana, cocoa duck, papaya, black turmeric, moringa, coconut, secang wood, bitter melon, meniran, lime, purslane and breadfruit as traditional medicine to treat various kinds of diseases. The part of the plant that is most widely used to treat diseases is the leaf with a percentage of 50%.
Small Savings Scheme of the Post Office and Savings Habit of People: The Role of Financial Consultant

The small savings scheme plays a vital role in mobilizing savings for the economy, and the post office provides a variety of products to people to promote a savings habit. The current research attempts to analyze the moderation effect of financial consultants in relationship between the small savings scheme of the post office, financial literacy and behavior, and the savings habit of people. The study exhibits a significant positive impact of predictors and moderation variables on savings habits. In this regard, a two-phase structural equation modeling (SEM) has been employed to validate the hypothesized measurement model using confirmatory factor analysis (CFA), and in the next phase, the structural model verifies the hypothesized association between exogenous and endogenous variables to draw rational inferences. And a positive effect of predictors and interaction variables is observed. Finally, the study concluded with an important suggestion for the investment manager and other intermediaries: integrate the financial engineering process by giving due importance to investor needs.
The Effect of Gender on Consumer Satisfaction and Loyalty in Modern Retail Stores

This study aimed to determine whether there were differences in the satisfaction and loyalty of male and female consumers at the Alfamart Mujur branch of the retail store in East Praya. A total of 140 respondents participated, and the data analysis used was the MANOVA Test with SPSS 17. From the several hypotheses proposed, it was found that the three alternative hypotheses were rejected. In other words, there was no difference, either partially or simultaneously, between the satisfaction and loyalty of male consumers. - male and female. Based on these findings, Alfamart Branch Mujur must remain focused on developing consumer-oriented marketing and service strategies without the need to differentiate services or treatment for male and female consumers.
Non‐Stationary Lags and Legacies in Ecosystem Flux Response to Antecedent Rainfall

Ecosystem function can be affected directly by climate, including by meteorological extremes, and also by sustained lags and legacies on timescales that surpass those of the weather events themselves. However, important gaps remain in our understanding of the influence and timescale of persistence of antecedent climate, known as environmental memory, on terrestrial carbon and water fluxes. Identifying the interactions between the lagged response to climate and the legacies to climate extremes, and whether the influence of memory varies through time, has not been fully explored. Here, we used a novel k‐means clustering plus regression approach to examine timeseries of the sensitivity of terrestrial fluxes to antecedent precipitation at 65 eddy‐covariance sites across a range of ecosystems. Quantifying the sensitivity to past precipitation and temperature reveals that the role of memory in ecosystem fluxes varies across sites and in time. When memory was accounted for in the model, relative improvement in modeled site flux r2 compared to an instantaneous model varied between 0% and 57%, with mean of 12%. Our results show that vegetation type was a stronger predictor of memory importance than site aridity, implying a need to understand vegetation resilience conferred by physiological traits and acclimation capacity. The influence of memory varied strongly through time at many sites, with the role of different timescales exhibiting consistent non‐stationarity. Our results demonstrate the importance of accounting for time‐varying vegetation response to antecedent rainfall in land surface models to accurately predict future terrestrial fluxes.
Single-machine earliness–tardiness scheduling with two competing agents and idle time

ABSTRACT Two-agent scheduling has gained a lot of research attention recently. Two competing agents who have their own objective functions have to perform their respective set of jobs on one or more shared machines. This study considers a two-agent single-machine earliness and tardiness scheduling problem where jobs have distinct due dates and unforced idleness in between any two consecutive jobs is allowed. The objective is to minimize the total earliness and tardiness of jobs from one agent given that the maximum earliness–tardiness of jobs from the other agent cannot exceed an upper bound. In other words, each job from the second agent has a hard due window, whereas each job from the first agent will incur a penalty if completed either before or after its due date. Two mathematical models of the problem are presented, and several necessary optimality conditions are derived. By exploiting the established dominance properties, heuristic algorithms are developed for the problem. Finally, computational experiments are conducted to assess the models and heuristic procedures.
Absence and presence of Dirac electrons in silicene on substrates

silicene in current experiments, we find several stable and metastable structures with the 4 × 4, √ 13 × √ 13, and 2 √ 3 × 2 √ 3 periodicities with respect to the 1 × 1 Ag(111) lateral cell within the total-energy difference of 70meVperSiatom.Thosestablestructuresshowtheexcellentagreementwiththescanningtunnelingmicroscopy measurement in their structural characteristics. The metastable structures with comparable total energies await experimental observations. In all the stable and metastable structures, the silicene is buckled substantially so that the π state rehybridizes with the σ state, leading to the π + state, and then the linear energy dispersion peculiar to the Dirac electrons disappears in several cases associated with the opening of the energy gap. Moreover, we find that the substantial mixing of the π + state, generated in such a way, with the states of the Ag atoms in the substrate converts the π + state to the mixed π + state and thus makes the state shift downwards or upwards, eventually annihilating Dirac electrons near the Fermi level. The absence of Dirac electrons caused in this way is found to be common to all the stable and metastable structures of the silicene on the Ag(111) substrates. We also find that the interaction between the π + and the substrate orbitals should be weak enough to preserve Dirac electrons and at the same time be sizable to keep the system stable. We then propose two specific substrates as good candidates for the silicene with Dirac electrons, i.e., hexagonal BN and the hydrogen-processed Si(111) surface. We clarify that the silicene on those substrates are stable enough with the binding energy comparable to or twice that of the graphite and preserve Dirac electrons near the Fermi level.
An investigation of financial contagion between cryptocurrency and equity markets: Evidence from developed and emerging markets

Abstract The present study conducts a dynamic conditional cross-correlation and time–frequency correlation analyses between cryptocurrency and equity markets in both advanced and emerging economies. The purpose of the study is twofold. First, the study investigates the presence of the pure (narrow) form of financial contagion between cryptocurrency and stock markets in both advanced and emerging economies, during the black swan event of the COVID-19 crisis. Second, the study examines the hedging and safe-haven properties of cryptocurrencies against equity markets, before and during periods of financial upheaval triggered by the COVID-19 pandemic. Two econometric models are used: (1) the dynamic conditional correlation (DCC) GARCH and (2) the wavelet analysis models. Using the DCC GARCH model, the study found the evidence of high conditional correlations between cryptocurrency and equity markets. The high conditional correlation was mostly detected in periods of financial turmoil corresponding to the first quarter and the second quarter of 2020. The increase in conditional correlation during periods of financial upheaval (compared to a tranquil period) indicates the presence of the pure form of financial contagion. The wavelet cross-correlation analysis showed the evidence of positive cross-correlation between the Bitcoin and the equity markets during period of financial turmoil. The cross-correlation was identified in both short and long (coarse) scales. In short scales, the equity markets lead the cryptocurrency market, while the cryptocurrency market leads equity markets in coarse scales. The findings of the present study revealed that the degree of interdependence between cryptocurrency and equity markets has substantially increased during the COVID-19 period, and this has negated the safe-haven and hedging benefits of cryptocurrencies over equity markets.
Moderating Role of Consumers’ Attachment Style on Post-Recovery Satisfaction Behavior

Abstract This study examines the moderating role of consumers’ attachment anxiety and attachment avoidance, on the relationship between recovery satisfaction and their behavior after service recovery. This study analyzes the moderating effect of consumers’ attachment styles to explain the differences in their behavior after service recovery efforts, which has not been explored previously. Primary data was collected from hand-phone users, and the effect of consumers’ attachment styles was examined in the context of the telecommunication sector. Findings indicate that consumers high in attachment anxiety were more likely to repurchase but not to engage in positive word-of-mouth after recovery satisfaction. Attachment avoidance did not impact consumers’ behavioral intentions. In addition, the interaction of anxiety and avoidance positively influenced word-of-mouth intentions upon satisfaction with recovery efforts. However, the interaction did not affect repurchase intentions. This study provides insight into how consumer’s attachment style influences their positive behavioral intentions after recovery satisfaction. We present segment-specific relationship marketing strategies that can aid service providers in managing service recoveries and minimizing the adverse effects of service failures on customer retention.
Orbital Characterization of the Composition and Distribution of Spinels Across the Crisium Region: Insight From Luna 20 Samples

Spinels represent a small fraction of lunar surface materials but provide important insights into the petrological evolution of the lunar crust and mantle. Previous remote sensing analyses of highlands spinel‐bearing lithologies have focused on pure Mg‐Al spinels, which are rare in the lunar sample collection. Using Moon Mineralogy Mapper data, we develop and test an approach for detecting spectral signatures of spinel across a wider range of Mg, Al, Fe, Cr, Ti‐bearing compositions than have been addressed in previous studies, including within mafic‐bearing assemblages. This approach is validated through integration with laboratory‐measured spinel spectra and petrographic observations of samples returned by the Luna 20 mission from the Hilly and Furrowed Terrain surrounding the Crisium Basin. Applying this approach to data from the Crisium region, small abundances of spinel (<∼5 vol%) with a range of Mg, Al, Fe, Cr, and Ti content and petrologic origin (inferred from Luna 20 samples) were found to be widespread within highlands soils across the Crisium region. This result diverges from previous remote sensing analyses, which only reported small, isolated exposures of pure Mg‐Al spinel (as well as a possible detection of Fe, Cr‐bearing spinels localized within pyroclastic materials at Sinus Aestuum). Geologic associations of candidate spinel detections across this region are consistent with a shallow crustal origin rather than excavation from depth during the Crisium‐forming impact. These spinels are detectible in near‐infrared spectroscopic data, particularly in areas of low optical maturity and may influence the spectral continuum of highlands soils.