Miracle-dz/UniFAR-FTUs huggingface dataset:
Free energy of ABJM theory

The free energy of ABJM theory has previously been computed in the strong and weak coupling limits. In this note, we report on results for the computation of the first non‐vanishing quantum correction to the free energy, from the field theory side. The correction can be expressed in terms of a thermal mass for the scalar fields. This mass vanishes to 1‐loop order, but there is a non‐vanishing result to 2‐loop order. Hence, the leading correction to the free energy is non‐analytic in the 't Hooft coupling constant λ. The reason is that the infrared divergences necessitate a resummation of ring diagrams and a related reorganization of perturbation theory, in which already the leading correction receives contributions from all orders in λ. These results suggest that the free energy interpolates smoothly between weak and strong coupling.
A Low-Cost Millimeter-Wave 5G V2X Multi-Beam Dual-Polarized Windshield Antenna

Design procedure and experimental validation for a millimeter-wave (MMW) vehicular antenna with simultaneous multi-beam, for 5G V2X application, is presented. The design overcomes the constraint for requiring both wide angular coverage and high gain through a compact multi-array design. Each array is designed to have a fixed beam direction and sufficient beamwidth so that the overall pattern guarantees simultaneous coverage in the elevation plane. The multi-array idea is a cost-effective technique compared to employing phase shifters and beam steering of a single array and avoids latency associated with beam steering. The proposed design is composed of three compact dual polarized patch arrays. Each array covers different elevation angles, and their beam maxima are chosen to be at 10°, −20° and −40° with respect to the normal of the windshield. The antenna covers the entire 28 GHz 5G band which ranges from 26.5 GHz to 29.5 GHz. Each feeding network is designed to minimize beam scanning with frequency. Dual-polarized antenna arrays are implemented to provide polarization diversity. Antenna mounting behind the laminated windshield have been investigated and proven to have a negligible effect on the antenna matching and a minor effect on the radiation pattern.
Region and boundary based level set method for contour tracking

We present a robust geometric active contour model to track targets in video sequences captured from mobile cameras. The target's contour is tracked on each frame of the sequence by both region and boundary information. The region information is formulated by minimizing the Bhattacharyya coefficient between the color histogram of reference target and that of the background. For the boundary information, we use gradient vector flow field to attract the contour from either side of the target's boundary. The contour's evolution is implemented using the level set method. For each frame coming from the sequence, template matching is performed before the curve evolution process to locate the region of interest. The robustness and effectiveness of the proposed algorithm is demonstrated on real sequences.
Nongyroresonant Pitch Angle Scattering

The spatial transport of charged particles, in a turbulence of slab Alfvén waves and isotropic fast magnetosonic waves, is determined by the pitch angle scattering of these particles. For pitch angle cosines μ larger than the Alfvén speed over the particle speed, this pitch angle scattering is provided by either gyroresonance with the Alfvén waves or transit-time damping (TTD) with the fast-mode component of the spectrum. For smaller pitch angle cosines, however, there is no TTD, and if the particle rigidity is less than 1 GV, in the solar wind there is no gyroresonance possible either. A new nonresonant process is presented here that very efficiently scatters the particles through μ=0 and is due to waves that cannot be in gyroresonance with the particles. The contributions to the particles' mean free path, of this nonresonant scattering process as well as of the TTD and gyroresonant ones, are calculated. The application to low-energy cosmic rays in the solar wind leads to the following conclusions. Below 102-103 MV, the nonresonant process dominates the gyroresonant one at large pitch angles. Below 0.1-1 MV, the slowest scattering does not occur any longer at large pitch angles but at small ones, via TTD, with a relatively high and flat curve of mean free path versus rigidity. The resulting mean free path, between 10-2 and 105 MV, gives very reasonable fits for the observational data, which diversity could be explained by slight modifications of the turbulence parameters.
GENETIC DIVERSITY OF ALPINIA MALACCENSIS (BURM.F.) ROSCOE (ZINGIBERACEAE) IN JAVA ISLAND, INDONESIA

Alpinia malaccensis (Burm.f.) Roscoe is a rare plant in Java, Indonesia, that produces essential oils. Its sustained decline causes great concern for future uses. Therefore, the study of its diversity in its natural habitat to predict future survival needs serious focus. The present study aims to determine the genetic diversity of A. malaccensis in Java based on ISSR markers. The sampling of a total of 11 populations yielded 33 accessions, which underwent amplifying using 12 ISSR primers. Using the molecular data analyzed their relationships, population structure, and genetic diversity. The UPGMA cluster, structure, and principal component analysis (PCA) demonstrated that the accessions divide in three groups, a result that correlates with their geography in Java. Group I consisted of var. malaccensis populations, while groups II and III comprised the var. nobilis populations, which proved truer among populations of var. nobilis. The genetic diversity category of A. malaccensis showed moderate based on Nei's genetic diversity (h = 0.2892) and Shannon's information index (I = 0.4438). The coefficient of genetic differentiation (GST) and molecular variance among the populations displayed higher within the individual population, which revealed a significant genetic variance among the 11 populations of A. malaccensis. The latest results confirm that ISSR markers can help distinguish the genotypes of A. malaccensis.
The Correlation of Interleukin-6, Malnutrition Inflammation Score and Asymmetric Dimethylarginine in Chronic Kidney Disease Patients Undergoing Routine Hemodialysis

Introduction: Chronic kidney disease (CKD) patients undergoing routine hemodialysis (HD) have a high prevalence of protein-energy malnutrition (PEM) and inflammation. The combination of inflammation and PEM is associated with cardiovascular disease and poor outcomes. Interleukin-6 (IL-6) is an inflammatory factor that runs parallel to endothelial damage and is closely related to the nutritional status of CKD HD patients. The tool to assess nutrition status is Malnutrition Inflammation Score (MIS) and to assess endothelial damage is Asymmetric Dimethylarginine (ADMA). It is currently unclear whether there is a correlation between inflammation, malnutrition, and endothelial dysfunction. Therefore the aim of this study is to determine the correlation between IL-6, MIS and ADMA in CKD HD patients. Methods: A cross-sectional design with analytic observational study was conducted on end stage renal disease patient who undergo routine hemodialysis for at least 2 years with the duration of hemodialysis is 4-5 hours and at least twice per week. IL-6 was examined by kit (ELISA) and ADMA using LC-MS/MS at a certified laboratory in Manado city. History taking and physical examination were used to calculate MIS. Data analysis was done using SPSS version 22. Results: There were 30 participants consisting of 22 men (72%) and 8 women (28%). The median age of the subjects was 56.50 years. There was a statistically significant positive correlation between IL-6 and ADMA (r = 0.440, p = 0.015), MIS and ADMA (r = 0.378, p = 0.039), and IL-6 and MIS (r = 0.682, p = 0.0001). Conclusion: There was a significant correlation between IL-6, MIS and ADMA.
MODELING POLIO DATA USING THE FIRST ORDER NON-NEGATIVE INTEGER-VALUED AUTOREGRESSIVE, INAR(1), MODEL

Time series data may consists of counts, such as the number of road accidents, the number of patients in a certain hospital, the number of customers waiting for service at a certain time and etc. When the value of the observations are large it is usual to use Gaussian Autoregressive Moving Average (ARMA) process to model the time series. However if the observed counts are small, it is not appropriate to use ARMA process to model the observed phenomenon. In such cases we need to model the time series data by using Non-Negative Integer valued Autoregressive (INAR) process. The modeling of counts data is based on the binomial thinning operator. In this paper we illustrate the modeling of counts data using the monthly number of Poliomyelitis data in United States between January 1970 until December 1983. We applied the AR(1), Poisson regression model and INAR(1) model and the suitability of these models were assessed by using the Index of Agreement(I.A.). We found that INAR(1) model is more appropriate in the sense it had a better I.A. and it is natural since the data are counts.
UBV PHOTOMETRY OF NGC 6649.

This paper reports UBV photographic photometry of NGC 6649 and the analysis to derive a minimum distance modulus, (m - AI)o, of which indicates the cluster is well within the Carina-Sagittarius-Scutum arm of the Milky Way. Distance and age of the cepheid V367 Sct near the cluster center are consistent with cluster membership. Key words: galactic cluster - UBV photometry - cepheid variables
AUTOMATIC DETECTION AND CLASSIFICATION OF RETINAL VASCULAR LANDMARKS

The main contribution of this paper is introducing a method to distinguish between different landmarks of the retina: bifurcations and crossings. The methodology may help in differentiating between arteries and veins and is useful in identifying diseases and other special pathologies, too. The method does not need any special skills, thus it can be assimilated to an automatic way for pinpointing landmarks; moreover it gives good responses for very small vessels. A skeletonized representation, taken out from the segmented binary image (obtained through a preprocessing step), is used to identify pixels with three or more neighbors. Then, the junction points are classified into bifurcations or crossovers depending on their geometrical and topological properties such as width, direction and connectivity of the surrounding segments. The proposed approach is applied to the public-domain DRIVE and STARE datasets and compared with the state-of-the-art methods using proper validation parameters. The method was successful in identifying the majority of the landmarks; the average correctly identified bifurcations in both DRIVE and STARE datasets for the recall and precision values are: 95.4% and 87.1% respectively; also for the crossovers, the recall and precision values are: 87.6% and 90.5% respectively; thus outperforming other studies.
Phenotyping and marker based identification of resistant lines in wheat (Triticum aestivum) against spot blotch pathogen (Cochliobolus sativus)

Spot blotch of wheat caused by Cochliobolus sativus is an emerging disease in hot and humid climate. Breeding for resistance is most suitable approach for management of this disease. A collection of 55 wheat (Triticum aestivum L.) genotypes were phenotyped for spot blotch resistance at seedling and adult plant stages. Based on phenotyping of 10 days old seedling Chirya 7, Chirya 3, Ning 8139, Suzhou, Milan-3, HD 2888, HD 2967, WR 95 were identified as resistant, while genotypes, viz. A-9-30-1, Agra local, C-306, K-68, Sonalika were highly susceptible. Phenotyping of adult plants stage revealed Chirya 7, Chirya 3, Ning 8139, Suzhou, Milan-3, HD 2888, HD 2967, WR 95, HW 3081 as resistant, whereas genotypes A-9-30-1, Agra local, C-306, Sonalika were highly susceptible. Phenotyping in adult and seedling plants showed a strong correlation of r = 0.91. DNA was isolated from all genotypes and was subjected to polymerase chain reaction (PCR) using simple sequence repeat (SSR) primers, viz. Xgwm148, Xgwm374 and Xgwm067, Xgwm371 for QTL Qsb.bhu-2B and Qsb.bhu-5B respectively. Presence and absence of different markers was confirmed by a unique amplification by PCR and visualized in Agarose gel electrophoresis. Two markers Xgwm371 and Xgwm374 showed significant association with resistance to B. sorokiniana and established to be linked with resistance since these were absent in highly susceptible genotypes. Hence, these markers could be useful in increasing the efficiency of selection for resistance to B. sorokiniana in wheat breeding and can be used in marker assisted selection.
Clustering Algorithm Based on Improved Particle Swarm Optimization

K-means algorithm has therefore become one of the methods widely used in cluster analysis. But the classification results of K-means algorithm depend on the initial cluster centers choice. We present a new neighborhood for PSO methods called the area of influence (AOI) and consider the combination of K-means has strong capacity of local searching and PSO has power global search ability. The improved PSO, i.e., improves the K-means local searching capacity, accelerates the convergence rate, and prevents the premature convergence effectively.
Seismic Anisotropy Tomography and Mantle Dynamics of Central‐Eastern USA

We present high‐resolution 3‐D tomographic models of isotropic P‐wave velocity (Vp), azimuthal anisotropy, and radial anisotropy down to 1,300 km depth beneath the central and eastern United States (CEUS), which are obtained by inverting a great number of local and teleseismic data and making a whole‐mantle correction to teleseismic travel‐time data recorded by the USArray. Trade‐offs between azimuthal and radial anisotropies occur due to the correlation between the azimuthal and incidence angles of seismic rays, but the use of uniform and crisscrossing rays can reduce the trade‐off effect. Our tomographic images reveal the North American Craton with layered anisotropy and strong anisotropies in the lower mantle related to the deeply subducted Farallon slab and passage of the Bermuda hotspot. In the upper mantle, low‐velocity anomalies with significant seismic anisotropy are revealed beneath three intraplate seismic zones in New Madrid, East Tennessee, and South Carolina, suggesting that hot and wet mantle upwelling occurs under the seismic zones, and the related fluids affect the earthquake generation. The most important dynamic processes in the mantle beneath the CEUS are the deep subduction of the Farallon plate and the passage of the Bermuda hotspot, which have caused strong structural heterogeneities, seismic anisotropy, as well as thermal anomalies and fluids that contributed to the formation of intraplate seismic zones in the CEUS.
High kinetic energy release upon dissociation and ionization of an N2+ beam by intense few-cycle laser pulses

The kinetic energy release (KER) and angular distribution for dissociation and ionization of $\mathrm{N}_{2}{}^{+}$ in an intense short pulse $(7\phantom{\rule{0.3em}{0ex}}\mathrm{fs})$ laser at $790\phantom{\rule{0.3em}{0ex}}\mathrm{nm}$ was measured by employing a coincidence three-dimensional momentum imaging method that provides kinematically complete information on the dissociation. At an intensity of $6.0\ifmmode\times\else\texttimes\fi{}{10}^{15}\phantom{\rule{0.3em}{0ex}}\mathrm{W}∕{\mathrm{cm}}^{2}$ a high-KER peak $(\ensuremath{\sim}6.1\phantom{\rule{0.3em}{0ex}}\mathrm{eV})$ unexpectedly appears in the dissociation spectrum in addition to the usual low-KER peak $(\ensuremath{\sim}0.6\phantom{\rule{0.3em}{0ex}}\mathrm{eV})$. Additionally, the KER distribution in ionization, which peaks around $7\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$, has a tail that surprisingly extends well beyond the Coulomb explosion energy. Both these high-KER contributions result from dissociation pathways involving highly excited states of $\mathrm{N}_{2}{}^{+}$ with steep potential curves as indicated by the dressed state potential energy curves picture.
Predicting first-year university progression using early warning signals from accounting education: A machine learning approach

In this paper, we examine whether early warning signals from accounting courses (such as early engagement and early formative performance) are predictive of ﬁ rst-year progression outcomes, and whether this data is more predictive than personal data (such as gender and prior achievement). Using a machine learning approach, results from a sample of 609 ﬁ rst-year students from a continental European university show that early warnings from accounting courses are strongly predictive of ﬁ rst-year progression, and more so than data available at the start of the ﬁ rst year. In addition, the further the student is along their journey of the ﬁ rst undergraduate year, the more predictive the accounting engagement and performance data becomes for the prediction of programme progression outcomes. Our study contributes to the study of early warning signals for dropout through machine learning in accounting education, suggests implications for accounting educators, and provides useful pointers for further research in this area.
THE HILBERT MARGINAL SPECTRUM ANALYSIS AND FEATURE EXTRACTION OF SHORT-TERM HEART RATE SIGNAL OF SPONTANEOUS VENTRICULAR TACHYARRHYTHMIA

The malignant ventricular tachyarrhythmia including ventricular tachycardia (VT) and ventricular fibrillation (VF) is the major cause of triggering sudden cardiac death (SCD) and it is seriously harmful to human. There is a great significance to predict the VT/VF. In this study, the RR interval series preceding the onset of VT/VF events are used as the study objects, and the 135 RR interval series are recorded by implantable cardioverter defibrillators (ICD) from 78 patients. Instantaneous heart rate (IHR) series are obtained after preprocessing the RR interval series. The Hilbert spectrum and the frequency marginal spectrum of IHR series are analyzed based on the traditional Hilbert-Huang transform (HHT) and the improved HHT. Some signal spectrum features are extracted from the marginal spectrum of IHR series: low frequency amplitude, high frequency amplitude, very high frequency amplitude, total amplitude and the low-to-high frequency amplitude ratio. The statistical analysis shows that the performance .
Panel Data with Survival: Hospitalization of HIV-Positive Patients

Abstract This article provides an analysis of the hospitalization experience of a panel of HIV-positive patients. It is part of a program of work designed to study the medical expenditures of such patients and their variation both between people and over time. We model the joint distribution of the inpatient episodes and the survival times of a panel of patients over 15 months. The model induces correlation between hospitalization and death via an unmeasured, person-specific, frailty term, and it allows rates of hospitalization and of death each to be affected by time-invariant and time-varying covariates. We subject the model to a variety of predictive tests and show that it is generally consistent with the data. We study and present estimates of the time variation in the rate of hospitalization. We also report the effects of a large number of covariates on rates of hospitalization and mortality. The model generalizes fairly easily in a number of ways, one of which is to handle vector-valued measures of .
Strong feedback limit of the Goodwin circadian oscillator

The three-variable Goodwin model constitutes a prototypical oscillator based on a negative feedback loop. It was used as a minimal model for circadian oscillations. Other core models for circadian clocks are variants of the Goodwin model. The Goodwin oscillator also appears in many studies of coupled oscillator networks because of its relative simplicity compared to other biophysical models involving a large number of variables and parameters. Because the synchronization properties of Goodwin oscillators still remain difficult to explore mathematically, further simplifications of the Goodwin model have been sought. In this paper, we investigate the strong negative feedback limit of Goodwin equations by using asymptotic techniques. We find that Goodwin oscillations approach a sequence of decaying exponentials that can be described in terms of a single-variable leaky integrated-and-fire model. © 2013 American Physical Society.
Agrobiodiversity dynamics in a French wine-growing region

Agrobiodiversity is a promising nature-based solution in the pursuit of sustainable agriculture. In wine-growing systems, commercial pressure and varietal regulations have narrowed agrobiodiversity in vineyards despite higher diversity being an important buffer against the effects of climate change. If drivers of grape diversity change are well-understood at national to global scales, little is known about the local, past or anticipated trajectories that drive agrobiodiversity dynamics depending on growers’ cultural values, practices and choices. We combined quantitative agricultural census data and qualitative ethnographic approaches to characterise changes in the diversity of grape varieties from 1960 to 2020 at the communal and vineyard levels in a French wine-growing region, and to decipher the drivers of change. We highlight that vineyards have drastically changed in 60 years, with a decline in planted area and in farm number. We outline that despite a loss of varietal richness across both vineyard and communal scales, varietal richness remains high and evenness have increased across geographic scales in 2020. Ethnographic field observations emphasize that growers account for external drivers (e.g., market changes, regulation and policy, technology, environmental), but also cultural values when they choose which grape varieties to plant. Grape diversity was maintained despite market integration as an insurance to spread production risk, mitigate market volatility and address environmental uncertainties. Securing livelihoods in the midst of market changes has been a major concern for growers over the last six decades and remains so. Despite a pessimistic future vision of the vineyard shared by most growers, the Gaillac region has a cultural heritage that values diversity and that thereby supports adaptation to climate change. We expect that environmental factors may play a more important role in grape selection and planting sites in the future under the influence of climate change and pesticide reduction policies. In order to expand individual initiatives resulting in diversified grape selection, growers need to be better connected with stakeholders at a variety of institutional levels.
THE COLORED JONES POLYNOMIALS OF 2-BRIDGE LINK AND HYPERBOLICITY EQUATIONS OF IT'S COMPLEMENTS

In this paper, we discuss the relation between the colored Jones polynomial of a 2-bridge link and the ideal triangulation of it's complement in S3. The aim of this paper is to describe the ideal triangulation of a 2-bridge link complement and to show that the hyperbolicity equations coincide with the equations obtained from the colored Jones polynomial of a 2-bridge link, and to compare this triangulation with the canonical decomposition of the 2-bridge link complement introduced by Sakuma and Weeks in [10].