Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk Sensitivities of Bermuda Swaptions

A new approach to the problem of computing risk sensitivities of Bermuda swaptions in a lattice, or PDE, framework is presented. The algorithms developed perform the task much faster and more accurately that the traditional approach in which the Greeks are computed numerically by shocking the appropriate inputs and revaluing the instrument. The time needed to execute the tradition scheme grows linearly with the number of Greeks required, whereas our approach computes any number of Greeks for a Bermuda swaption in nearly constant time. The new method explores symmetries in the structure of Bermuda swaptions to derive recursive relations between different Greeks, and is essentially model-independent. These recursive relations allow us to represent risk sensitivities in a number of ways, in particular as integrals over the "survival" density. The survival density is obtained as a solution to a forward Kolmogorov equation. This representation is the basis for practical applications of our approach.
Precision propagation and orbit decay predication of low earth orbit satellites

This study investigates the theory of precision satellite orbit propagation and satellite lifetime prediction and lead to the development of two necessary software tools for analysis in these fields. Precision propagation was achieved through the implementation of Cowell's method of special perturbations, considering perturbations due to a 70x70 asymmetrical gravity field, atmospheric drag, Luni-Solar attraction and Solar radiation pressure. The satellite's perturbed equations of motion were integrated utilizing a seveneighth order Runge-Kutta-Fehlberg numerical integration procedure, limiting error propagation by employing adaptive step size control. The MSlS-90 atmospheric density model, providing for diurnal and semi-annual variations, was employed to determine atmospheric density. Care was taken in the precision modelling of the motion of the 12000 equator and equinox. Propagation results for this test case proved to be superior to the SGP4 propagator and a commercial package. The long-term effects of Earth oblateness and atmospheric drag on a satellite's orbital elements were investigated and applied to the orbit decay prediction problem. Orbit decay was predicted by integrating the rates of change of the orbital elements due to Earth oblateness and atmospheric drag. A semi-analytical technique involving Runge-Kutta and Gauss-Legendre quadrature was employed in the solution process. Relevant software was developed to implement the decay theory. Optimum drag coefficients, estimated from drag analysis using precision propagation, were used in decay prediction. Two test cases of observed decayed satellites were used to evaluate the theory. Results for both test cases indicated that the theory fitted observational data well within acceptable limits. Stellenbosch University http://scholar.sun.ac.za
A bioinspired 3D-printable flexure joint with cellular mechanical metamaterial architecture for soft robotic hands

Compliant flexure joints have been widely used for cable-driven soft robotic hands and grippers due to their safe interaction with humans and objects. This paper presents a soft and compliant revolute flexure joint based on the auxetic cellular mechanical metamaterials with a heterogeneous structure. The heterogeneous architecture of the proposed metamaterial flexure joint (MFJ), which is inspired by the human finger joints, provides mechanically tunable multi-stiffness bending motion and large range of bending angle in comparison to conventional flexure joints. The multi-level variation of the joint stiffness over the range of bending motion can be tuned through the geometrical parameters of the cellular mechanical metamaterial unit cells. The proposed flexure joints are 3D printed with single flexible material in monolithic fashion using a standard benchtop 3D printer. The application of the MFJ is demonstrated in robotic in-hand manipulation and grasping thin and deformable objects such as wires and cables. The results show the capability and advantages of the proposed MFJ in soft robotic grippers and highly functional bionic hands.
Deployment and Robust Hybrid Beamforming for UAV MmWave Communications

We deploy an unmanned aerial vehicle (UAV) equipped with a large-scale uniform planar array (UPA) to serve multiple ground users in millimeter-wave band. Particularly, the practical UAV jitter is carefully considered, which may affect the beam gains and impact the communication quality. To provide a stable service, we first model the attitude change of the UPA caused by UAV jitter. Then, an optimization problem is formulated to maximize the minimum achievable rate of the users by optimizing the position and robust hybrid beamforming of the UAV. To solve the non-convex problem with highly coupled variables, a two-stage optimization strategy is developed. The first stage aims to decouple the beamforming from the original problem and design the UAV deployment under the assumption of an ideal beam pattern. The second stage aims to design robust hybrid beamforming with the obtained UAV position. Specifically, we first design analog beamforming for wide beams to cover the potential jitter angle range for each user via a chirp sequence-inspired method. Then, with equivalent channel estimation, we design digital beamforming by combining zero-forcing and water-filling power allocation algorithms. Extensive simulation results show the performance superiority of the proposed solution compared to the benchmark algorithms.
A bird's view of info-gap decision theory

Purpose - The purpose of this paper is to clarify a number of important facts about info-gap decision theory. Design/methodology/approach - Theorems are put forward to rebut claims made about info-gap decision theory in papers published in this journal and elsewhere. Findings - Info-gap's robustness model is a simple instance of the most famous model in classical decision theory for the treatment of decision problems subject to severe uncertainty, namely Wald's maximin model. This simple instance is the equivalent of the well-established model known universally as radius of stability. Info-gap's robustness model has an inherent local orientation. Therefore, it is in principle unable to address the fundamental difficulties presented by the type of severe uncertainty that is postulated by info-gap decision theory. Practical implications - These findings caution against accepting the assertions made in the info-gap literature about: info-gap decision theory's role and place in decision making under severe uncertainty; and its ability to model, analyze, and manage severe uncertainty. Originality/value - This paper exposes the serious difficulties with claims made in papers published in this journal and elsewhere regarding the place and role of info-gap decision theory in decision theory and its ability to handle severe uncertainty.
An inset-fed rectangular microstrip patch antenna with multiple slits for sub 6GHz – 5G applications

This paper presents an inset feed Rectangular Microstrip Patch Antenna with Multiple slits for sub 6 GHz - 5G Applications. This antenna is proposed with the development, design, running simulations and finally a conclusion of the analysis. The antenna in this paper is implemented using a technique called “inset-feed” and multiple slits. The dielectric used as a substrate is FR-4. The proposed antenna is useful for a sub 6 GHz 5G band, which comes under the 5G band of frequency. The proposed and designed antenna gives the input match of -10.74 dB, and 5.99 dB gain at the design frequency of 5.045 GHz. These outputs are usable for the 5G applications. The antenna is simulated and developed in a radio technology design software Sonnet.
Reduction of cocycles with hyperbolic targets

Abstract We show that any cocycle from an ergodic, finite measure preserving action of a higher-rank group to a closed subgroup of the isometry group of a proper, geodesic hyperbolic, ‘at most exponential’ metric space is necessarily cohomologous to a cocycle with values in a compact subgroup. Philosophically, this says that higher-rank dynamics is incompatible with hyperbolic dynamics; since hyperbolicity is, in some sense, generic among finitely presented groups, this places strong restrictions on the possible dynamics of higher-rank groups. We derive some applications of the main result. When the target group of the cocycle has no small subgroups, we show that the main result holds for a wider class of domain groups.
Assessing the epithelial-to-mesenchymal plasticity in a small cell lung carcinoma (SCLC) and lung fibroblasts co-culture model

The tumor microenvironment (TME) is the source of important cues that govern epithelial-to-mesenchymal transition (EMT) and facilitate the acquisition of aggressive traits by cancer cells. It is now recognized that EMT is not a binary program, and cancer cells rarely switch to a fully mesenchymal phenotype. Rather, cancer cells exist in multiple hybrid epithelial/mesenchymal (E/M) states responsible for cell population heterogeneity, which is advantageous for the ever-changing environment during tumor development and metastasis. How are these intermediate states generated and maintained is not fully understood. Here, we show that direct interaction between small cell lung carcinoma cells and lung fibroblasts induces a hybrid EMT phenotype in cancer cells in which several mesenchymal genes involved in receptor interaction with the extracellular matrix (ECM) and ECM remodeling are upregulated while epithelial genes such as E-cadherin remain unchanged or slightly increase. We also demonstrate that several core EMT-regulating transcription factors (EMT-TFs) are upregulated in cancer cells during direct contact with fibroblasts, as is Yes-associated protein (YAP1), a major regulator of the Hippo pathway. Further, we show that these changes are transient and reverse to the initial state once the interaction is disrupted. Altogether, our results provide evidence that tumor cells’ direct contact with the fibroblasts in the TME initiates a signaling cascade responsible for hybrid E/M states of cancer cells. These hybrid states are maintained during the interaction and possibly contribute to therapy resistance and immune evasion, while interference with direct contact will result in slow recovery and switch to the initial states.
Μ -synthesis of an Electromagnetic Suspension System

This paper deals with /spl mu/-synthesis of an electromagnetic suspension system. First, an issue of modeling a real physical electromagnetic suspension system is discussed. We derive a nominal model as well as a set of models in which the real system is assumed to reside. Different model structures and possible model parameter values are fully employed to determine unstructured additive plant perturbations, which directly yield uncertainty frequency weighting function. Second, based on the set of plant models, we setup robust performance control objectives. Third, we make use of the D-K iteration approach for the controller design. Finally, implementing the controller with a digital signal processor, experiments are carried out. With these experimental results, we show robust performance of the designed control system. >
Interaction with a Virtual Coach for Active and Healthy Ageing

Since life expectancy has increased significantly over the past century, society is being forced to discover innovative ways to support active aging and elderly care. The e-VITA project, which receives funding from both the European Union and Japan, is built on a cutting edge method of virtual coaching that focuses on the key areas of active and healthy aging. The requirements for the virtual coach were ascertained through a process of participatory design in workshops, focus groups, and living laboratories in Germany, France, Italy, and Japan. Several use cases were then chosen for development utilising the open-source Rasa framework. The system uses common representations such as Knowledge Bases and Knowledge Graphs to enable the integration of context, subject expertise, and multimodal data, and is available in English, German, French, Italian, and Japanese.
Implementation of Face Recognition Based on 3D Image

Biometric is used to confirm the unique of identity. In general, face is the most characteristic to recognize a person. In this paper, it is emphasized and compared the quality of 2D and 3D face recognition. There are three parts in this paper. First part is the detection of skin color which is used RGB color space. In order to reduce color red and green which are sensitive to illuminant, Normalized Color Coordinate (NCC) method is chosen to pick up the range of skin color directly. Second, to increase choosing of the important characteristics by Principle Component Analysis (PCA) the wavelength distinguishes technique is used to make 3D images. The third part is about identifying. An improved PCA through a transfer matrix to get optimal total scatter matrix of within-class scatter matrix is used. The optimal total scatter matrix represents the eigenvalue of face characteristics. Finally, the recognition rate and process performance between 2D and 3D images are compared via Euclidean Distance. The efficiency and recognition rate of 3D images are superior to 2D images. The recognition rate of 3D images attains to 92% and costs 0.39 second to recognize each image. It is improved 28% compared with the recognition rate of 2D images.
Metal oxide nanowire growth for nanotechnology-enhanced device applications

This paper presents our on-going nano-epitaxial efforts to grow tin oxide (SnO2), zinc oxide (ZnO), and lead zirconate titanate (PZT) for nanotechnology-enhanced devices. The applicable devices involve piezoelectric energy harvesting devices and nanomaterial-enhanced chemical sensors, with the Systems-level vision involving the piezoelectric energy harvesting devices that could self-power chemical sensors for a stand-alone, self-powered device that could harvest its own power from mechanical vibrations. To this end, device concepts are presented herein and preliminary details for ZnO, SnO2, and PZT material synthesis are presented. The growth of nanowires and nanotetrapods are presented for said device applications using vapor-liquid-solid (VLS), solution synthesis, as well as the results from other synthesis processes. Characterization was done by scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS).
Modelling, Analysis and Performance of a Low Inertia AC-DC Microgrid

In a world where the energy crisis is becoming overwhelming, demand for integrating renewable energy sources is increasing and forming microgrids is becoming an essential solution. The new microgrid systems, which depend mainly on renewable energy sources instead of conventional synchronous generators, come with a low inertia concern. This paper proposes a virtual inertia controller based on a high-pass filter (HPF) to support the frequency of the AC microgrid while maintaining the DC voltage of the DC microgrid within the nominal ranges in cases of contingencies. The proposed system encounters an AC-DC microgrid with a renewable energy source on the DC microgrid alongside constant power load and resistive loads, while on the AC microgrid side, a synchronous generator is used to present the low inertia of the grid with dynamic loads and static loads. The state-space linearized model of the system is developed and verified using Matlab Simulink. The dynamic response of the proposed controller is compared to the low-pas filter (LPF)-based controller. Moreover, the effect of changing the system’s parameters on eigenvalues is investigated.
Sensor optimization for progressive damage diagnosis in complex structures

We propose a sequential Monte Carlo (SMC) based progressive structural damage diagnosis framework that tracks damage by integrating information from physics-based damage evolution models and using stochastic relationships between the measurements and the damage. The approach described in this paper adaptively configures the sensors used to collect the measurements using the minimum predicted mean squared error (MSE) as the performance metric. Optimization is performed globally over the entire search space of all available sensors. Results are presented for the diagnosis of fatigue damage in a notched laminate, demonstrating the effectiveness of the proposed method.
On-Centered Growth of Periodically Poled LiNbO3:Er3+/Yb3+ Crystals

The formation of periodic domain structures in LiNbO3:Er3+/Yb3+ codoped crystals is reported. The crystals, grown along the c-axis using on-centered Czochralski technique, exhibit a changing morphology along the growth direction. A correspondence between morphology and the appearance of the periodic ferroelectric domain patterns has been established and attributed to the different crystal-melt interfaces and growth kinetics. The periodic domains are homogeneous with a well defined periodicity with relative deviation smaller than 5%. The results are analysed by using Micro-Raman spectroscopic techniques.
Minimal number of periodic points for smooth self-maps of S3

Let f be a continuous self-map of a smooth compact connected and simply-connected manifold of dimension m ≥ 3, r a fixed natural number. A topological invariant Dm r [f ], introduced in [5], is equal to the minimal number of r-periodic points for all smooth maps homotopic to f . In this paper we calculate D3 r [f ] for all self-maps of S3.
Interactive effect of nitrogen and irrigation on evapotranspiration, growth, yield and water productivity of subsurface drip‐irrigated spring maize: Field and simulation studies

In northwest India, spring maize water productivity can be increased with subsurface drip irrigation. Therefore, a field experiment was conducted in a split‐plot design for 2 years to assess the effect of three nitrogen levels (125 [N1], 100 [N2] and 75 [N3] kg N ha−1) in the main plots and seven irrigation regimes (six subsurface and one surface drip) in the subplots on water productivity of spring maize. Subsurface drip irrigation was applied at 100%, 80% and 60% cumulative pan evaporation on alternate days (I1, I3 and I5) and at 2‐day intervals (I2, I4 and I6) along with surface drip irrigation at 80% pan evaporation on alternate days (I7). The evapotranspiration (ET), transpiration (T), dry matter accumulation (DMA), leaf area index (LAI), root mass density (RMD), N uptake and grain yield were at par in N1 and N2 but significantly higher than in N3. T, DMA, LAI, RMD, grain N uptake and grain yield were at par in I1, I2, I3 and I7 but significantly higher than in I4, I5 and I6. The real water productivity was at par in N1I1, N1I3 and N2I3 but significantly higher than other interactive combinations. The CERES‐Maize model satisfactorily simulated crop biomass, grain yield, LAI, ET and transpiration.
Supervisor Cultural Humility and Supervisee Nondisclosure: The Supervisory Working Alliance Matters

Given that at least half of supervisees (therapist trainees) never have their clinical work monitored or observed, supervisees who withhold salient information in clinical supervision compromise supervisors’ ability to monitor client welfare and promote supervisees’ professional development. Attempting to further understand the factors explaining supervisee nondisclosure, we tested the supervisory working alliance as a mediator of the hypothesized inverse relations of cultural humility and collaborative supervision with supervisee nondisclosure (supervision-related and clinically-related nondisclosure) among a diverse sample of 214 supervisees in applied psychology and allied mental health programs. Results supported the hypotheses that (a) descriptively, supervision-related nondisclosure was more prominent than clinically-related nondisclosure; (b) cultural humility substantially inversely predicted supervisee nondisclosure; and (c) the supervisory working alliance fully mediated the inverse relations of cultural humility and collaborative supervision with supervisee nondisclosure. Understanding the mechanisms underlying supervisee nondisclosure has broad implications for clinicians and researchers alike.
Remote influence of North Atlantic SST on the equatorial westerly wind anomalies in the western Pacific for initiating an El Niño event: an Atmospheric General Circulation Model Study

This article uses an atmospheric general circulation model to show that the cooler North Atlantic sea surface temperature anomalies in summer can produce a Rossby wave‐like teleconnection pattern strengthening the Siberian High in winter and next spring. The stronger Siberian High enhances the continent northerlies over East Asia and the associated cyclonic circulation over the western North Pacific, which provides a tropical westerly background for occurrence of the westerly wind bursts. The stronger northerlies over East Asia can also induce frequent cold surges, which tend to produce the equatorial westerly wind anomalies in the western Pacific for initiating an El Niño event. Copyright © 2013 Royal Meteorological Society
Description of texture for permanent magnets

A least mean square procedure was used to fit five types of trial texture functions, each of them containing one fitting parameter, to demagnetization curves of Zn-bonded Sm/sub 2/Fe/sub 17/N/sub x/ samples with varying degree of easy-axis alignment as well as Zn-bonded Sm/sub 2/Fe/sub 17/C/sub x/. The demagnetization curves were measured in the first quadrant of polarization-field plane, parallel and perpendicularly to the texture axis. The temperature dependence (above room temperature) of the intrinsic magnetic properties K/sub 1/K/sub 2/J/sub s/ was determined for both materials. The sensitivity of the calculated anisotropy constants to the degree of easy-axis alignment turns out to be the best criterion to find out the correct texture function which can be described by a Gaussian density in the case of our Zn-bonded Sm/sub 2/Fe/sub 17/N/sub x/. >