Miracle-dz/UniFAR-FTUs huggingface dataset:
Sirtuin 1 and Vascular Function in Healthy Women and Men: A Randomized Clinical Trial Comparing the Effects of Energy Restriction and Resveratrol

Background: Sirtuin 1 (SIRT1) has been associated with longevity and protection against cardiometabolic diseases, but little is known about how it influences human vascular function. Therefore, this study evaluated the effects of SIRT1 activation by resveratrol and energy restriction on vascular reactivity in adults. Methods: A randomized trial allocated 48 healthy adults (24 women and 24 men), aged 55 to 65 years, to resveratrol supplementation or energy restriction for 30 days. Blood lipids, glucose, insulin, C-reactive protein, noradrenaline, SIRT1 (circulating and gene expression), and flow-mediated vasodilation (FMD) and nitrate-mediated vasodilation (NMD) were measured. Results: Both interventions increased circulating SIRT1 (p < 0.001). Pre- and post-tests changes of plasma noradrenaline were significant for both groups (resveratrol: p = 0.037; energy restriction: p = 0.008). Baseline circulating SIRT1 was inversely correlated with noradrenaline (r = −0.508; p < 0.01), and post-treatment circulating SIRT1 was correlated with NMD (r = 0.433; p < 0.01). Circulating SIRT1 was a predictor of FMD in men (p = 0.045), but not in women. SIRT1 was an independent predictor of NMD (p = 0.026) only in the energy restriction group. Conclusions: Energy restriction and resveratrol increased circulating SIRT1 and reduced sympathetic activity similarly in healthy adults. SIRT1 was independently associated with NMD only in the energy restriction group.
Changes in physical properties of graphene oxide with thermal reduction

Reduced graphene oxide (rGO) has attracted significant attention as an easily fabricable twodimensional material. Depending on the oxygen-containing functional groups (OFGs) in an rGO specimen, the optical and electrical properties can vary significantly, directly affecting the performance of devices in which rGO is implemented. Here, we investigated the optical and electrical properties of GO treated with various annealing (reduction) temperatures from 350 to 950 °C in H2 ambient. Using diverse characteristic tools, we found that the transmittance, nanoscale domain size, OFGs in GO and rGO, and Schottky barrier height (SBH) measured on n-type GaN are significantly influenced by the annealing temperature. The relative intensity of the defect-induced band in Raman spectroscopy showed a minimum at the annealing temperature of approximately 350 °C, before the OFGs in rGO showed vigorous changes in relative content. When the domain size of rGO reached a minimum at the annealing temperature of 650 °C, the SBH of rGO/GaN showed the maximum value of 1.07 eV.
Opportune detections of global P-wave propagation from microseisms interferometry

Global seismological observations are sensitive to oceanic forcings, namely microseisms. In addition to dominant surface waves, these sources generate body waves that travel through the deep structures of our planet. Despite these sources’ inherent complexity, interferometric methods allow isolating coherent waves for imaging applications. For a given station pair, only specific microseism events contribute to the illumination of a specific target. We propose an opportune workflow based on ocean sea state models to extract robust interferences. This approach is illustrated with a strong microseism source in the North Atlantic Ocean, occurring around December 9, 2014.
Cyclones and violence against civilians: Evidence from the Cabo Delgado insurgency

Do natural shocks increase insurgent rates of civilian victimization? We consider one case of a natural shock that directly affected an ongoing rebellion, Mozambique’s Cabo Delgado insurgency, where in recent years an insurgency with few societal ties and an extremist, pro-Islamic State ideology has engaged in multiple attacks on civilians. Our assessment employs both time series analysis and qualitative evaluations. Our focus is on the effects of cyclones—a climatic event whose rates are predicted to intensify over the coming decades—on this insurgency’s use of violence against civilians. In contrast to several past studies of natural shocks in conflict zones and strategic violence against civilians, our findings suggest that in contexts of insurgencies that do not have a strong local support base and where the group purports an extremist transnational ideology, natural shocks may lead to more violence against civilians.
Time-dependent axial fluid model of the Hall thruster discharge and its plume

One-dimensional axial models of a Hall thruster give a good qualitative picture of the main physical phenomena in the discharge with small computational effort. Time-dependent models, in particular, are widely used for the analysis of low-frequency axial oscillations (i.e. the breathing mode). The standard time-dependent three-fluid model found in the literature is here enhanced by extending the physical domain beyond the cathodic surface into the far plume, and improving the modeling of some physical phenomena. A suite of five models is presented in this work with an increasing complexity of added physics; the most complete version accounting for ion and neutral energy evolution equations along with the partial inclusion of electron inertia. The added physics has a non negligible impact on both the dynamics of the breathing mode and the time-averaged response of the plasma. In particular, it is found that the onset of the instability is sensitive to both the level of modeled physics and the operational parameters. In some cases, the strong breathing mode oscillations can result in a weak plasma attachment to the anode, leading to the collapse of the normal anode sheath and to the subsequent failure of the model.
Quasiparticle excitations in FeSe in the vicinity of BCS-BEC crossover studied by thermal transport measurements

The iron-based superconductor FeSe with the superconducting transition temperature Tc ∼ 8−9 K has stirred great interest because it exhibits several unique properties, which had been covered until recently due to the difficulty in growing the clean single crystals. Here we report some of the interesting electronic and superconducting properties of FeSe revealed by using high-quality single crystals grown by the chemical vapor transport method. BCS-BEC crossover in FeSe (Section 6) The physics of the crossover between the weak-coupling Bardeen-Cooper-Schrieffer (BCS) and strong-coupling Bose-Einstein-condensate (BEC) limits gives a unified framework of quantum bound (superfluid) states of interacting fermions. In the region of this crossover, the size of the interacting pairs, which is represented by the coherence length ξ, becomes comparable to the average distance between particles, which is close to the inverse Fermi momentum 1/kF , i. e. , kF ξ ∼ 1, and a new exotic state of matter has been expected to emerge. The BCS-BEC crossover has hitherto been realized experimentally in ultracold atomic gases. On the other hand, in solids, almost all superconductors are in the BCS regime, where the superconducting gap energy ∆ is usually several orders of magnitude smaller than the Fermi energy εF , ∆/εF ∼ 1/kF ξ ≪ 1, and it has thus been extremely difficult to access the crossover regime. Our quasipaticle interference (QPI), Seebeck, and penetration depth measurements revealed that FeSe has extremely small Fermi energies, εF ≈ 10meV for the hole band and εF ≈ 3meV for the electron bands. We found that FeSe is a multigap superconductor with two distinct superconducting gaps of ∆ ∼ 2.5 and 3.5meV by scanning
Does the climate influence the variance of residual in litter traits of Taiwan Landrace sows?

Abstract Heat stress adversely affects the litter traits of Landrace, the primary dam breed in Taiwan. This study aimed to evaluate the effects of heat stress during sow pregnancy with homogeneous and heterogeneous residuals to estimate the genetic parameters of the Taiwan Landrace. Performance records for 11 657 litters and weather data from 2008 to 2021 were collected. The climate effect was defined proportionally from cool to hot for climates 1 to 5. The homogeneous residual analysis showed that the heritabilities of the total number born (TNB) and number born alive (NBA) were 0.164 ± 0.014 and 0.111 < ± < 0.014 with residual variances of 10.338 and 9.164, respectively. The heterogeneous residual analysis showed that the residual variances for TNB and NBA were 8.934–11.113 and 8.196–9.810, respectively. For TNB, the residual variance in the herd–year–climate effect differed significantly in climate 1 from climates 3 to 5 (p < 0.01). In NBA, the residual variance was significantly lower in climates 1 and 2 than in climates 3 and 5 (p < 0.01). In conclusion, heritability was estimated for TNB and NBA. In addition, residual variances could interact with the climate effect in heterogeneous residual analysis.
Perception of Local Journalists in West Nusa Tenggara about the Media Industry

This study aims to determine the perceptions of local journalists in West Nusa Tenggara (NTB) province, especially Lombok. This type of research is qualitative and the method used is phenomenology. The process of collecting research data was carried out through observation, and in-depth interviews. The researcher also conducted documentation and literature studies relevant to the research. The researcher analyzed the stages of organizing data, noting important points, describing meanings for informants, grouping statements into several units, developing descriptive text, detailing the experiences of informants more deeply through descriptions, and drawing conclusions. This research found that journalists who work in online media think that the print media industry still has a special niche of customers from the educated to government employees, but if they are not creative then print media will decrease. On the other hand, print media journalists feel that the print media industry will survive as long as regulations regarding local government advertising spending do not change. This regulation benefits print media because the value of their advertising partnership is much higher than online media. This research also found that print media journalists understand the condition of their company's dependence on local government and this relationship pattern is not sustainable. Meanwhile, online media journalists understand that their work culture in this industry demands more work while there is very little support for social and health insurance, especially for those who are contributing journalists.
The surprising secret identity of the semidefinite relaxation of K-means: manifold learning

In recent years, semidefinite programs (SDP) have been the subject of interesting research in the field of clustering. In many cases, these convex programs deliver the same answers as non-convex alternatives and come with a guarantee of optimality. Unexpectedly, we find that a popular semidefinite relaxation of K-means (SDP-KM), learns manifolds present in the data, something not possible with the original K-means formulation. To build an intuitive understanding of its manifold learning capabilities, we develop a theoretical analysis of SDP-KM on idealized datasets. Additionally, we show that SDP-KM even segregates linearly non-separable manifolds. SDP-KM is convex and the globally optimal solution can be found by generic SDP solvers with polynomial time complexity. To overcome poor performance of these solvers on large datasets, we explore efficient algorithms based on the explicit Gramian representation of the problem. These features render SDP-KM a versatile and interesting tool for manifold learning while remaining amenable to theoretical analysis.
The Effect of Taxes and Capital Expenditures on Economic Growth The Effects of the COVID-19 Pandemic in Indonesia

This study aims to determine tax revenues and capital expenditures before and during the COVID-19 pandemic on Indonesia's economic growth. The secondary data from 1980 to 2019 was collected through Badan Pusat Statistik (BPS). This study uses a descriptive quantitative approach. The analysis used in this study is to use the ARDL (Autoregressive Distributed Lag) method. The survey results indicate that tax revenues and capital expenditures in the short and long term have a positive and significant effect on economic growth in Indonesia, which follows the hypothesis of this study. Even tax revenues and capital expenditures have a significant positive impact on fiscal policy to help overcome the pandemic's economic impact. The resulting coefficient value is 0.6705. So that in the long term, an increase in tax revenue of 1 percent will increase economic growth by 0.6705 percent. Furthermore, the long-term capital expenditure variable also has a positive and statistically significant effect, with the resulting coefficient of 0.1743. an increase in capital expenditure of 1 percent will increase economic growth by 0.1743 percent.
Connecting the Dot: Understanding the Link between Secondary School Heads' Leadership Styles and Teacher Performance

School Heads assume the ultimate obligation of accountability for student Academic excellence and teachers' performance in their institutions. The current Research exploration endeavored to analyze how the different leadership styles of school heads affect the performance of their teachers at public secondary schools in Multan. A descriptive research approach was employed in the current investigation. Data was collected using a questionnaire from a sample of four hundred and nineteen (419), including 187 male and 232 female teachers selected through stratified random sampling from secondary schools in the district of Multan, South Punjab, Pakistan. According to key highlighted observations of the study, Heads practiced all mixed leadership styles according to contextual requirements. However, no statistically significant differences were observed between teachers in terms of their professional and academic backgrounds or on the basis of their teaching experience. Moreover, according to manifested results, teachers' performance varied significantly according to their locations and gender. This study may help identify leadership approaches that inspire and empower teachers, leading to higher levels of productivity and overall job performance. Additionally, it is recommended that training for cultivating leadership styles that positively impact teacher performance be provided in educational institutions.
Simulations of natural transition in viscoelastic channel flow

Orderly, or natural, transition to turbulence in dilute polymeric channel flow is studied using direct numerical simulations of a FENE-P fluid. Three Weissenberg numbers are simulated and contrasted to a reference Newtonian configuration. The computations start from infinitesimally small Tollmien–Schlichting (TS) waves and track the development of the instability from the early linear stages through nonlinear amplification, secondary instability and full breakdown to turbulence. At the lowest elasticity, the primary TS wave is more unstable than the Newtonian counterpart, and its secondary instability involves the generation of $\unicode[STIX]{x1D6EC}$ -structures which are narrower in the span. These subsequently lead to the formation of hairpin packets and ultimately breakdown to turbulence. Despite the destabilizing influence of weak elasticity, and the resulting early transition to turbulence, the final state is a drag-reduced turbulent flow. At the intermediate elasticity, the growth rate of the primary TS wave matches the Newtonian value. However, unlike the Newtonian instability mode which reaches a saturated equilibrium condition, the instability in the polymeric flow reaches a periodic state where its energy undergoes cyclical amplification and decay. The spanwise size of the secondary instability in this case is commensurate with the Newtonian $\unicode[STIX]{x1D6EC}$ -structures, and the extent of drag reduction in the final turbulent state is enhanced relative to the lower elasticity condition. At the highest elasticity, the exponential growth rate of the TS wave is weaker than the Newtonian flow and, as a result, the early linear stage is prolonged. In addition, the magnitude of the saturated TS wave is appreciably lower than the other conditions. The secondary instability is also much wider in the span, with weaker ejection and without hairpin packets. Instead, streamwise-elongated streaks are formed and break down to turbulence via secondary instability. The final state is a high-drag-reduction flow, which approaches the Virk asymptote.
STUDIES ON TOTAL PLASMA VOLUME, CORPUSCULAR VOLUME AND BLOOD WEIGHT IN RELATION TO BODY WEIGHT IN A FRESH WATER TELEOSTEAN FISH MYSTUS CAVASIUS (HAM.)

In the present work an attempt has been made to study the totalplasma volume (TPV), corpuscular volume (TCV) and total blood weight(TBV) in relation to body weight in a fresh water teleostean fish Mystuscavasius (Ham.). Dye dilution technique using Evans Blue (T-1124) andhaematocrit method were employed to determine the relative volume ofplasma and red blood cells in the blood. TPV, TCV and TBW per gram bodyweight decreases from lower to higher weight groups but becomes almostconstant at 45.1g animals. The details have been discussed in this paper
Asymptotic behaviour and symmetry of positive solutions to nonlinear elliptic equations in a half-space

We consider the following equation: where d(x) = d(x, ∂Ω), θ > –2 and Ω is a half-space. The existence and non-existence of several kinds of positive solutions to this equation when , f(u) = up (p > 1) and Ω is a bounded smooth domain were studied by Bandle, Moroz and Reichel in 2008. Here, we study exact the behaviour of positive solutions to this equation as d(x) → 0+ and d(x) → ∞, respectively, and the symmetry of positive solutions when , Ω is a half-space and f(u) is a more general nonlinearity term than up . Under suitable conditions for f, we show that the equation has a unique positive solution W, which is a function of x 1 only, and W satisfies
Multiattribute multitask transformer framework for vision‐based structural health monitoring

Using deep learning (DL) to recognize building and infrastructure damage via images is becoming popular in vision‐based structural health monitoring (SHM). However, many previous studies solely work on the existence of damage in the images and directly treat the problem as a single‐attribute classification or separately focus on finding the location or area of the damage as a localization or segmentation problem. Abundant information in the images from multiple sources and intertask relationships are not fully exploited. In this study, the vision‐based SHM problem is first reformulated into a multiattribute multitask setting, where each image contains multiple labels to describe its characteristics. Subsequently, a general multiattribute multitask detection framework, namely ϕ‐NeXt, is proposed, which introduces 10 benchmark tasks including classification, localization, and segmentation tasks. Accordingly, a large‐scale data set containing 37,000 pairs of multilabeled images is established. To pursue better performance in all tasks, a novel hierarchical framework, namely multiattribute multitask transformer (MAMT2) is proposed, which integrates multitask transfer learning mechanisms and adopts a transformer‐based network as the backbone. Finally, for benchmarking purposes, extensive experiments are conducted on all tasks and the performance of the proposed MAMT2 is compared with several classical DL models. The results demonstrate the superiority of the MAMT2 in all tasks, which reveals a great potential for practical applications and future studies in both structural engineering and computer vision.
Exploring the Effect of Minimum Magnitude on California Seismic Hazard Maps

A recent topic of interest is the performance of probabilistic seismic hazard maps relative to historical shaking datasets. Maps developed for different countries appear to overpredict shaking relative to historical shaking datasets. To explore whether this discrepancy arises because of incompleteness in historical datasets, we consider maps and historical data from California. Current probabilistic seismic hazard maps for California appear to predict stronger short period shaking than historical maxima captured by the California Historical Intensity Mapping Project (CHIMP) dataset between 1857 and 2019. We estimate that CHIMP has a magnitude completeness between M 6-6.6, whereas California hazard maps assume a minimum magnitude (MMin) of 5. Disaggregating the maps shows that earthquakes smaller than M 6 and 6.6 respectfully contribute about 25% and 45% of the hazard across California. Increasing the hazard map's MMin to 6 and 6.6 respectively reduces the discrepancy between predicted and observed shaking by approximately 10-20% and 30-35%. These reductions are not enough to bring the maps and data in alignment. Thus, MMin inconsistencies contribute to, but are not the sole cause of, the discrepancy between predicted and historically observed shaking. These results may be generally applicable to maps elsewhere, although MMin will vary for different historical datasets.
Multiple robustness estimation in causal inference

Abstract Estimation of average treatment effect is crucial in causal inference for evaluation of treatments or interventions in biostatistics, epidemiology, econometrics, sociology. However, existing estimators require either a propensity score model, an outcome vector model, or both is correctly specified, which is difficult to verify in practice. In this paper, we allow multiple models for both the propensity score models and the outcome models, and then construct a weighting estimator based on observed data by using two-sample empirical likelihood. The resulting estimator is consistent if any one of those multiple models is correctly specified, and thus provides multiple protection on consistency. Moreover, the proposed estimator can attain the semiparametric efficiency bound when one propensity score model and one outcome vector model are correctly specified, without requiring knowledge of which models are correct. Simulations are performed to evaluate the finite sample performance of the proposed estimators. As an application, we analyze the data collected from the AIDS Clinical Trials Group Protocol 175.
Adding Sound Transparency to a Spacesuit: Effect on Cognitive Performance in Females

Spacesuits may block external sound. This induces sensory deprivation; a side effect is lower cognitive performance. This can increase the risk of an accident. This undesirable effect can be mitigated by designing suits with sound transparency. If the atmosphere is available, as on Mars, sound transparency can be realized by augmenting and processing external sounds. If no atmosphere is available, such as on the Moon, then an Earth-like sound can be re-created via generative AR techniques. We measure the effect of adding sound transparency in an Intra-Vehicular Activity suit by means of the Koh Block test. The results indicate that participants complete the test more quickly when wearing a suit with sound transparency.