Miracle-dz/UniFAR-FTUs huggingface dataset:
Modes of a nonlinear planar waveguide with a dielectric layer immersed in a hyperbolic medium

The guided waves of a symmetric planar waveguide formed by an isotropic dielectric placed in a hyperbolic medium and having a cubic-nonlinear response are studied theoretically. The optical axis of the hyperbolic medium is directed along the normal to the interfaces between the media. If the permittivity of the waveguide core exceeds the main permittivity for an extraordinary wave in the hyperbolic medium, then each TM mode is characterised by two cut-off frequencies. Dispersion relations for these modes are found in the case of focusing and defocusing core media. The number of the modes possible at a given frequency depends on the radiation intensity. It is shown that zero values of the mode propagation constants are possible in the waveguide, which corresponds to the formation of a standing wave between the boundaries of the waveguide. In addition, in the case of a defocusing waveguide layer, such stopped modes can be obtained with increasing field intensity. The dependences of the propagation constant and the width of the transverse distribution of the mode field on the radiation intensity are found and analysed.
Explicit Computation of Sampling Period in Periodic Event-Triggered Multiagent Control Under Limited Data Rate

This paper investigates the coordination of nonlinear sampled-data multiagent systems subject to a data rate constraint. The purpose is to design resource-efficient communication and control strategies that guarantee exponential synchronization. Two implementation scenarios are considered: the period time-triggered control and the period event-triggered control. One of the main difficulties of the problem is to obtain an explicit formula for the maximum-allowable sampling period (MASP). To this end, an approach on finding the MASP for period time-triggered control is proposed first. Then, an asynchronous period event-triggered control strategy is formulated, and a communication function and a control function are designed for each agent to determine, respectively, whether the sampled state and control input should be transmitted at each sampling instant. Finally, the constraint of the limited data rate is considered. An observer-based encoder–decoder and a finite-level quantizer are designed, respectively, for the sensor-controller communication and the controller-actuator communication such that a certain constraint on the data rate is satisfied. It is shown that exponential synchronization can still be achieved in the presence of the data-rate constraint. A simulation example is given to illustrate the effectiveness of the theoretical results.
Education, Credentials, and Immigrant Earnings

An overedge stitch sewing device comprising a straight sewing needle and a lower looper that travels in a curved path and has advanced timing relative to the sewing needle. The device may also contain a needle thread cam which is shaped such that the needle thread is in partial contact with the front surface of the needle thread cam during the needle stroke.
The Consequences of COVID-19 on Breast Cancer Screenings in an Underserved Urban Population and the Screening Access of Value for Essex Program’s Efforts to Control the Damage

Objective: This study aims to examine the impact of the COVID-19 pandemic on breast cancer screening in an underserved population, identify patient barriers, and discuss strategies to promote the importance of screening. Methods/operations: The Rutgers New Jersey Medical School Screening Access of Value for Essex (SAVE) program delivers cancer prevention services to the most vulnerable population in Essex County, New Jersey. The SAVE program was shut down from March 2020 to June 2020 due to COVID-19. The number of mammograms performed 18 months before the pandemic (September 2018 to March 2020) and 18 months after the shutdown of the program (July 2020 to December 2021) were recorded. A calling project was created in response to the pandemic to educate patients about COVID-19 precautions and provide healthcare and social services resources. Results: There was a 15.4% reduction in screening mammograms during the post-shutdown period (1,459 pre-COVID-19 versus 1,234 post-shutdown). The number of diagnostic mammograms increased from 264 to 272. The calling project spoke with 1,548 patients and identified the following concerns: exposure to COVID-19, language barriers, and lack of health insurance. Conclusion: Although COVID-19 had a profound impact on most patients, especially in the realm of breast cancer screening, the implementation of the SAVE program's strategies such as transitioning to an appointment-only system has helped minimize the negative impacts. Reaching out to the patients, partnering with community organizations, and promoting SAVE services have played a vital role in encouraging more patients to have screening done.
Cosmic censorship and the third law of black hole dynamics

Israel's proof of the third law of black hole dynamics is based on the semi-rigidity assumption which requires that the areas of the outermost trapped surfaces are preserved. We argue that the condition that the area of the event horizon should not decrease is necessary -but not sufficient- for the semi-rigidity assumption to hold. It is known that the presence of a naked singularity in the exterior region invalidates Hawking's proof of the area theorem. In this sense, the third law assumes the validity of the strong form of the cosmic censorship conjecture, contrary to general acceptance. Still, one cannot guarantee that the semi-rigidity assumption holds. Therefore the current proof is incomplete. Recent studies on the interactions of black holes with fermionic fields imply a generic formation of naked singularities. The presence of these singularities invalidates the laws of black hole dynamics and cosmic censorship conjecture for the processes that satisfy the weak energy condition.
Ellipse Detection in Very Noisy Environment

Ellipse detection is a major issue of image analysis because circles are transformed into ellipses by projective transformations, and most of 3D scenes contain circles that are signiﬁcant for understanding them (mechanical parts, man-made objects, interior decoration,). Several algorithms have been designed and published, some of them very recently, to characterize ellipses within images and they are very efﬁcient in most classical situations. But they all fail in some speciﬁc cases that regularly happen as, for example, when the noise in the image is such as it produces dashed ellipses, or when they are very ﬂat, or when only small parts of them are visible. We propose an algorithm that brings a solution in such cases, even if it is not more efﬁcient than the other ones in classical situations. Hence, it can be used as a complement of other algorithms when we want to detect ellipses in a robust way, i.e. in all situations. This algorithm takes advantage of a property of ellipses related to their tangent lines, without any assumption on edge connectivity: primitives are designed to characterize the possibility for a point and an orientation to locally represent an edge; these primitives are not connected and their global analysis enables to obtain the center location and the three other parameters of ellipses that can be drawn through this set of primitives, i.e. that go through some of these points and that have the corresponding tangent lines. A set of tests has been used to measure its robustness.
L1L5Together: Report of Workshop on Future Missions to Monitor Space Weather on the Sun and in the Solar Wind Using Both the L1 and L5 Lagrange Points as Valuable Viewpoints

The “L5 in Tandem with L1: Future Space Weather Missions Workshop” was held in London on 6–9 March 2017 to discuss technical and programmatic steps toward an operational system for monitoring space weather conditions on the Sun and in the solar wind. This system would exploit the viewpoints provided by the Sun‐Earth L1 and L5 Lagrange points—two locations where we can place spacecraft in quasi‐stable orbits with complementary views of solar and interplanetary conditions that could lead to adverse space‐weather impacts at Earth. This personal report summarizes the talks and discussions at the workshop—pulling out key issues of likely interest to a wider audience and important considerations on the route to an operational system at L1 and L5, a system that can help to protect societies around the world from the risks posed by space weather.
COMPARATIVE SURVEY OF DEEP UNDERWATER IMAGE ENHANCEMENT USING CNN

: Underwater image enhancement attracts ocean explorers and researchers in the field of marine archaeology consistently. There are numerous underwater image enhancement algorithms has been proposed in recent years. Although the existing algorithms achieve better enhancement results for degraded images, these methods experience some limitations in terms of identification and recognition of underwater objects captured at various depth. Convolutional Neural Network (CNN) is the best alternative solution used for object recognition and image classification. CNN is a most powerful algorithm in the field of deep learning and computer vision. Therefore this paper presents the indepth survey of the various underwater image enhancement algorithms of CNN and description about its qualitative and quantitative results in order to give potential insight for the future researchers.
Conditional Moment Closure Methods for Turbulent Combustion Modelling

This thesis describes the application of the first-order Conditional Moment Closure (CMC) to the autoignition of high-pressure fuel jets, and to piloted and lifted turbulent jet flames using classical and advanced CMC submodels. A Doubly-Conditional Moment Closure (DCMC) formulation is further proposed. In the first study, CMC is applied to investigate the impact of C2H6, H2 and N2 additives on the autoignition of high-pressure CH4 jets injected into lower pressure heated air. A wide range of pre-combustion air temperatures is considered and detailed chemical kinetics are employed. It is demonstrated that the addition of C2H6 and H2 does not change the main CH4 oxidisation pathways. The decomposition of these additives provides additional ignition-promoting radicals, and therefore leads to shorter ignition delays. N2 additives do not alter the CH4 oxidisation pathways, however, they reduce the amount of CH4 available for reaction, causing delayed ignition. It is further shown that ignition always occurs in lean mixtures and at low scalar dissipation rates. The second study is concerned with the modelling of a piloted CH4/air turbulent jet flame. A detailed assessment of several Probability Density Function (PDF), Conditional Scalar Dissipation Rate (CSDR) and Conditional Velocity (CV) submodels is first performed. The results of two β-PDF-based implementations are then presented. The two realisations differ by the modelling of the CSDR. Homogeneous (inconsistent) and inhomogeneous (consistent) closures are considered. It is shown that the levels of all reactive scalars, including minor intermediates and radicals, are better predicted when the effects of inhomogeneity are included in the modelling of the CSDR. The two following studies are focused on the consistent modelling of a lifted H2/N2 turbulent jet flame issuing into a vitiated coflow. Two approaches are followed to model the PDF. In the first, a presumed β-distribution is assumed, whereas in the second, the Presumed Mapping Function (PMF) approach is employed. Fully consistent CV and CSDR closures based on the β-PDF and the PMF-PDF are employed. The homogeneous versions of the CSDR closures are also considered in order to assess the effect of the spurious sources which stem from the inconsistent modelling of mixing. The flame response is analysed over a narrow range of coflow temperatures (Tc). The stabilisation mechanism is determined from the analysis of the transport budgets in mixture fraction and physical spaces, and the history of radical build-up ahead of the stabilisation height. The β-PDF realisations indicate that the flame is stabilised by autoignition irrespective of the value of Tc. On the other hand, the PMF realisations reveal that the stabilisation mechanism is susceptible to Tc. Autoignition remains the controlling stabilisation mechanism for sufficiently high
Mathematical Formula Identification Method Based on Transformer

Mathematical formulas are crucial in academic research. For those who need to write LaTeX, it is necessary to be able to identify formulas quickly and conveniently. LaTeX formula recognition can be viewed as a subtask of image recognition. With the development of deep learning technology, the previous traditional character recognition methods can no longer meet our requirements. This paper proposes a new framework to recognize formulas in images, based on the model consisting of a ViT encoder with a ResNet backbone and a Trans-former decoder. On this basis, we added the hybrids, beam search, data enhancement and preprocessing network resizer to improve the accuracy of formula recognition. Finally, experiments are conducted to verify the improvement of model performance on the two metrics of BLEU and ACC.
Relationship Between Helicobacter Pylori Infection and Inflammatory Cytokines, Homocysteine in Patients With Coronary Artery Disease

Objective: To study the relationship between helicobacter pylori (HP) infection and inflammatory cytokines, homocysteine (Hcy) in patients with coronary artery disease (CAD), and the relationship between cytotoxin associated protein A toxins of HP (HPCagA) and CAD occurrence. Methods: Our research included 2 groups: CAD group, n=105 and Control group, n=76 patients without CAD. The serum Hp-IgG antibody and HpCagA-IgG antibody were measured by ELISA. Blood levels of Hs-CRP, TNF-α, IL-6 and Hcy were examined and compared between 2 groups. The differences between CAD patients with HP infection and without HP infection were compared, and the differences between CAD patients with positive HPCagA-IgG and negative HPCagA-IgG were compared Logistic regression analysis was conducted to study the risk factors of CAD, the adjusted OR and 95% CI were used to evaluate the positive Hp for CAD risk. Results: The positive rate of HP-IgG in CAD group and Control group were 52.3% and 35.5%; compared with
Drowsy Caches: Simple Techniques for Reducing Leakage Energy—A Retrospective

This paper was published at ISCA 2002 [1]. Most of the authors were at the University of Michigan. Nam Sung Kim and Steve Martin were PhD students, and David Blaauw and Trevor Mudge were faculty members. Krisztián Flautner was the Director of Advanced Research at Arm. The ideas were developed during the early 2000’s. A paper trail of their development can be found in Drowsy Caches [1]–[4]. The impact of this work was recognized by an ACM SIGARCH/IEEECS TCCA Influential ISCA Paper Award in 2017. The paper proposed a technique for reducing the power consumption of L1 data caches. This was later extended to instruction caches in [4]. By 2002, metal–oxide–semiconductor (CMOS) logic had become the leading silicon technology. Its advantage over then competing technologies, such as transistor-transistor logic (TTL) and emitter coupled logic (ECL), was its lower power dissipation. It made large chips possible without exceeding the power constraint or power limit of a single chip. In the past when CMOS transistors did not switch, negligible amounts of power where dissipated. However, as the feature size of these devices decreased, their leakage (static) power dissipation became a growing and significant contributor. As process technology moved below 0. 1μm, static power dissipation was on target to dominate the total power used by digital circuits [3]. Furthermore, leakage presents a tradeoff. On one hand, performance demands require the use of fast high-leakage transistors; on the other hand, new applications and cost issues favor designs that are energy efficient. Even in the technology of 2002, leakage power dissipation was becoming comparable to dynamic power dissipation. In fact, according to a projection from Intel [5] at that time, the off-state leakage component of the total power in a microprocessor was set to exceed active power as technology nodes moved below 65nm. Leakage was becoming a problem for all transistors, but it was a particularly important problem in on-chip caches, because they were a growing fraction of the total number of microprocessor devices. For instance, 30% of Alpha 21264 (1998) and 60% of StrongARM are devoted to cache and memory structure [6]. A recent chip from Apple, the M2, now has 36 MB of shared L2 and a 48 MB system level cache (L3). The 2002 paper focused on reducing the power consumption of data caches by putting infrequently used cache lines into a low power state-retention drowsy state. They set the voltage of memory cells to a much lower level to reduce their leakage power while preserving their states.
Factors Analysis on Affecting Regional Inequality in South Sulawesi Province, 2010-2016

: The diverse characteristics of the Indonesian region can affect the creation of different patterns of economic development. This study aims to analyze the effect of regional income, labor force and human development index on regional inequality in South Sulawesi Province during 2010-2016. The province of South Sulawesi was chosen because based on data from the province's central statistical body it showed significant economic growth in 2016. The data used in this study used data from the statistical body of the province of South Sulawesi. Data analysis method used in this study uses the Williamson Index method. The results of this study indicate that local income variables have a negative but significant effect on regional inequality. Labor force variables show a positive and significant effect on regional inequality, while the human development index variable shows a positive but not significant effect on regional inequality.
Increased susceptibility in adult mice to the Alzheimer medicine Donepezil in animals exposed to ethanol during a critical period of brain development

In various mammalian species the fetal and/or neonatal period is characterized by a rapid development of the brain. Several environmental toxicants have been shown to induce permanent disorders of brain functions when administered to neonates during a period of rapid brain development. A few of these disorders can’t be observed unless the subject is challenged with the substance later in life. It is also known that an altered adult susceptibility created at an early stage in life might also be a cause to why different mammals within the same species react different to the same chemical. This present studies were conducted to explore if there are any differences in adult behavior in mice neonatally exposed to different doses of ethanol (experiment 1). Furthermore, to see if it was possible to induce a different behavioral pattern using an active substance from an Alzheimer’s medicine, which is an organophosphate-like substance, in mice neonatally treated with ethanol (experiment 2). In experiment 1, neonatal mice at the age of 3, 10 or 19 days were exposed to ethanol 2 g/kg bw s.c. twice with 6 hours apart. Spontaneous behavior was observed in 12 and 16 weeks old mice. The spontaneous behavior revealed a difference between the saline treated and ethanol treated mice. A different spontaneous behavior was seen in mice treated neonatally with ethanol day 3 or 10, but not day 19. The animals showed a lack of habituation and a hyperactive condition. In experiment 2, neonatal mice at the age of 10 days were exposed to ethanol, either
Conjectures de Lusztig

© Société mathématique de France, 1996, tous droits réservés. L’accès aux archives de la collection « Astérisque » (http://smf4.emath.fr/ Publications/Asterisque/) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.
Design and analysis of Coanda effect nozzle with two independent streams

ABSTRACT This project aims at presenting a method of making use of the ACHEON Coanda effect based on velocity. The main component of the model is HOMER nozzle. It consists of two inlets, in which streams of different velocity can be made to flow. It is made possible by using the PEACE concept. This project is an analysis work of six different 2D models varying in their geometry. Deflection at various angles is produced. From the base design, five designs are made by varying their domain and they are analysed at different conditions. Higher deflection angle is produced in either direction. The graphs are plotted for pressure and also in terms of velocity. The concept of thrust vectoring is used here. This project helps in creating more flexibility of thrust vectoring nozzle. It overcomes the limitations of traditional systems related to jet deflection exhausts.
IN VITRO AND IN VIVO EVALUATION OF SOME NOVEL HERBAL COMPOSITION FOR TREATMENTS OF DIABETES AND PANCREATITIS BY USING CURCUMIN AND CINNAMON EXTRACTS

Diabetes mellitus is a metabolic disease that is spreading internationally and represents an extreme danger to general well-being. Despite the fact that there are synthetics and biochemical specialists that can help direct diabetes, there is no drawn-out treatment that will help an individual completely recuperate from this disease. Many conventional treatments for diabetes have been discovered via extensive research. Long-term negative effects on one's health are caused by the chronic metabolic condition known as diabetes mellitus, which is becoming more common. Diabetes mellitus (DM), which affects close to 500 million people worldwide, is expected to rise dramatically in the future years. Over the past two decades, research on curcumin, the primary component of the Curcuma longa plant, has gained significant traction due to its potential as an antioxidant, anti-inflammatory, anti-diabetic, and anticancer agent. For its anti-inflammatory, antibacterial, antioxidant, anticancer, cardiovascular, cholesterol-lowering, and immune-modulating properties, cinnamon has been used as a spice and a traditional herbal remedy