Miracle-dz/UniFAR-FTUs huggingface dataset:
Modulation of South Indian Ocean Tropical Cyclones by the Madden–Julian Oscillation and Convectively Coupled Equatorial Waves

Abstract The subseasonal modulation of tropical cyclone (TC) genesis by large-scale atmospheric wave modes is studied using data from the south Indian Ocean region. The modes considered are the Madden–Julian oscillation (MJO), and the convectively coupled equatorial Rossby (ER), Kelvin, and mixed Rossby–gravity (MRG) waves. Analysis of all TCs west of 100°E reveals a large and statistically significant modulation by the MJO and ER waves, a small yet significant modulation by Kelvin waves, and a statistically insignificant modulation by MRG waves. Attribution of the observed TC modulation was made through examination of the wave-induced perturbations to the dynamical fields of low-level vorticity, vertical shear, and deep convection. Possible thermodynamic influences on TC genesis were neglected. Different combinations of the three dynamical fields were necessary for successful attribution for each of the large-scale wave modes. For example, for the MJO, the modulation was best attributable to its perturba.
Estudio biliométrico de la relación del Cambio Organizacional con los Valores Organizacionales

Este proyecto de investigación estudia un proceso de cambio organizacional tomando como base el punto de vista de la corriente de estudio de los Valores. La metodología fue de 2 lapsos: 1. - Estudio Teórico, del Estado del Arte del tema 2. - Un análisis de tipo bibliométrico referente a la relación del cambio organizacional con los valores organizacionales. El objetivo determinado fue: Establecer qué elementos relativos a los Valores Organizacionales intervienen en un proceso de cambio organizacional. Los resultados de este estudio establecen que los Valores son elementos esenciales, por lo que se tienen que fomentar los valores organizacionales entre los integrantes de la organización, y que trabajen éticamente y en armonía, por lo que se debe tener una apropiada difusión de los valores empresariales. Los Valores Organizacionales resultan ser un elemento que contribuye a llevar a cabo un proceso de cambio organizacional.
Selecting the Best Instrumental Variables Estimator

This paper considers the problem of finding the "best" estimator among a class that includes most of the commonly used limited information estimators in simultaneous equation systems. Concentration comparisons, based on the Edgeworth expansion of the distribution of these estimators, lead to selection rules of sufficient simplicity to be useful in applied econometric research.
MANAGEMENT OF RESULTS IN LATIN AMERICAN NON-FINANCIAL COMPANIES WITH RECEIVABLE LOSS ALLOWANCE

This study aimed to evaluate whether publicly traded non-financial companies in Latin America use the recognition of the receivable loss allowance (RLA) for losses associated with credit risk for the purpose of earnings management. The empirical tests were based on annual data between 2016 and 2019, covering 333 non-financial companies from 6 countries listed on the MSCI Emerging Markets Index. The results showed evidence that non-financial companies used discretion in recognizing credit losses for the practice of income smoothing. This behavior is more relevant in the observations related to the period of validity of IFRS 9 among companies with a substantial volume of financial assets. Consequently, we confirmed the expectations that the adoption of the expected loss model, instituted by IFRS 9, increases the perspective of the practice of earnings
On the Mechanism of Choked Jet Noise

The character of jet noise undergoes a marked change above choking, the noise due to turbulent mixing being dominated by a powerful whistle or screech whose wavelength is related to the regular shock wave spacing. The mechanism in two-dimensional flow is further examined (by the aid of a dynamic Schlieren apparatus), verifying the suggested mechanism and showing the similarity to that in axially symmetric flow where discontinuities in frequency, partly analogous to edge tones, occur. The resultant sound emitted as the periodic eddy system traverses the regular shock wave pattern is highly directional, producing a powerful beam at doubled frequency normal to the jet and an intense beam at eddy frequency in the upstream direction adjacent to the jet, resulting in fluctuations in jet velocity direction at the orifice which initiate new stream disturbances. A gain criterion for the self-maintained cycle is given, enabling certain qualitative deductions concerning the intensity to be made, and use will be made of this in considering methods of reducing the noise level.
Evidence for a Pulsar Jet Producing a Hot Nebula in the Supernova Remnant MSH 15—52

We have discovered direct evidence for a pulsar jet from the young X-ray and radio pulsar PSR 1509—58 in the supernova remnant MSH 15—52 with the X-ray astronomy satellite ASCA. With its high-energy resolution combined with its imaging capability over a wide energy band, ASCA has studied the two morphologically and spectroscopically different components in this supernova remnant: a non-thermal nebula powered by the pulsar with a jet-like structure, and a hot thermal plasma cloud located at the end of the "jet". We propose that the jet is a stream of relativistic electrons generated by the pulsar, and that the thermal nebula is created by the collision of the jet with interstellar matter. This scenario can explain the peculiar X-ray morphology and the energy budget of MSH 15—52 consistently.
Room‐temperature laser operation of quantum‐well Ga(1−x)AlxAs‐GaAs laser diodes grown by metalorganic chemical vapor deposition

The achievement of room‐temperature (300 °K) operation of Ga(1−x)AlxAs‐GaAs double‐heterostructure lasers with active layers of quantum‐well dimensions ∼200 A thick is reported. These devices are grown by metalorganic chemical vapor deposition and exhibit pronounced effects in the spectral and lasing characteristics that are related to the small active region thickness and are the first such effects observed for DH lasers in the GaAlAs‐GaAs system.
Cladding mode resonances of etch-eroded fiber Bragg grating for ambient refractive index sensing

In this Letter, the cladding mode resonances of a chemical etch-eroded fiber Bragg grating are proposed for highly sensitive ambient refractive index sensing. The varying characteristics of several different order cladding mode resonances with ambient refractive index are explored experimentally. The maximum sensing sensitivity of 172nm∕riu for the third-order cladding mode resonance is achieved in the experiments. Under the same cladding diameter, the cladding mode resonances have narrower bandwidth and response much more sensitive to the ambient refractive index changing than conventional Bragg core mode resonance, which would enable them to achieve a higher resolution.
Some features of the optimal design theory – a survey

In this survey paper the regression model with uncorrelated observations and its infinitedimensional generalization are considered. The stress is on a functional approach to the experiment in both models. Results of several authors on the convex properties of the decision problem connected with the experimental design are collected, The iterative methods of computing optimal designs for convex criteria functions are considered from a geometrical aspect, Singular designs and designs for the nonlinear estimation. are considered as well.
Research into the dynamic nature of the human fovea-cortex systems with intermittent and modulated light. I. Attenuation characteristics with white and colored light.

A generally known method for the dynamic investigation of any linear system is recalled to mind. Applied to the visual organ with sinusoidally modulated light, the dynamic nature of the system fovea→brightness perception is embodied in attenuation characteristics, by plotting the ratio output amplitude over input amplitude against frequency at constant mean luminance. This manner of investigation, first applied in previous papers with white light, is expanded over a greater part of the range of cone vision and is continued with colored light. The existing theories on flicker fusion provide no explanation for the shape of the attenuation characteristics obtained with the experiments and calculated from investigations of other authors.
Performance of large area, thin silicon cells

The author shows that cell manufacturers have established processing methods that produce cells that meet the requirements for electrical output, solar absorptivity, radiation resistance, contact performance, and environmental stability. In addition, some current cell designs are described that involve more complicated features such as the placement of all contacting areas on the back surface and a back surface contact that either has very high reflectance or high transparency for the wavelengths in the solar spectrum that are beyond the cutoff wavelength for silicon (>1.1 mu m). Many of the cell designs feature rugged, weldable contacts. <<ETX>>
Calculation of pattern in UTD method based on NURBS modeling with the source on surface

The UTD method with the source on convex surface which is usually used in the analysis and design of antennas especially conformal arrays on electrically large platforms is studied in this article where NURBS is introduced as way of modeling. Together with the information from ray‐tracing done before, the calculation of fields is presented which includes direct field in the lit region and creeping ray field in the shadow region. The method can be applied to arbitrary electrically large targets and the usefulness can be seen in the examples given. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2492–2498, 2007; Published online in Wiley InterScience (www.interscience.wiley.com) DOI 10.1002/mop.22727
A complete basis of generalized Bell states

A generalization of the Bell states and Pauli matrices to dimensions which are powers of 2 is considered. A basis of maximally entangled multidimensional bipartite states (MEMBS) is chosen very similar to the standard Bell states and constructed of only symmetric and antisymmetric states. This special basis of MEMBS preserves all basic properties of the standard Bell states. We present a recursive and non-recursive method for the construction of MEMBS and discuss their properties. The antisymmetric MEMBS possess the property of rotationally invariant exclusive correlations which is a generalization of the rotational invariance of the antisymmetric singlet Bell state.
A revised model for diffusion induced segregation processes

A mathematical model for chalcopyrite disease within sphalerite is developed. As one main result, by analyzing the system enthalpy, correct expressions for the reaction terms in a system undergoing phase transitions are worked out. For the resulting equations, the thermodynamical validity is shown and the existence of a unique solution is proved.
Constructing Domain Ontology Based on Fuzzy Set and Concept Lattice

The major content in FCA is to extract formal concepts and connections between them from data in form of formal context so as to form a lattice structure of formal concepts. Fuzzy set theory and fuzzy logic are acknowledged as an appropriate formalism for capturing imprecise and vague knowledge. The paper offers a methodology for building ontology for knowledge sharing and reusing based on fuzzy concept lattices union. This paper makes up these defects by applying formal concept analysis theory and fuzzy sets to construct concept hierarchies of ontology, and the experiments shows the CPU Time in the attribute numbers, indicating that FFCA is superior to FCA in building the ontology of semantic web.
Genotype-driven downregulation of interleukin 6 signaling and periodontitis

Interleukin 6 (IL-6) is considered to play a role in the dysbiotic host response in the development of periodontitis. To explore whether downregulation of IL-6 signaling could represent a viable treatment target for periodontitis, we tested the association of genetically proxied downregulation of IL-6 signaling with periodontitis. As proxies for IL-6 signaling downregulation, we selected 52 genetic variants in close vicinity of the gene encoding IL6 receptor (IL6R) that were associated with lower circulating C-reactive protein (CRP) levels in a genome-wide association study (GWAS) of 575,531 participants of European ancestry from the UK Biobank and the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. Associations with periodontitis were tested with inverse-variance weighted Mendelian randomization in a study of 17,353 cases and 28,210 controls of European descent in the Gene-Lifestyle Interactions in Dental Endpoints (GLIDE) consortium. In addition, the effect of CRP reduction independent of the IL-6 pathway was assessed. Genetically proxied downregulation of IL-6 signaling was associated with lower odds of periodontitis (odds ratio (OR) = 0.81 per 1-unit decrement in log-CRP levels; 95% confidence interval (CI): [0.66;0.99]; P = 0.0497). Genetically proxied reduction of CRP independent of the IL-6 pathway had a similar effect (OR = 0.81; 95% CI: [0.68; 0.98]; P = 0.0296). In conclusion, genetically proxied downregulation of IL-6 signaling was associated with lower odds of periodontitis and CRP might be a causal target for the effect of IL-6 on the risk of periodontitis.
Quantum Nonlocality and Biological Coherence

Quantum-mechanical nonlocality considered as possible mechanism of long-distance correlations in living organisms and plants, which regulate their coherent development and functioning. It’s shown that Doebner-Goldin nonlinear quantum formalism permits to extend nonlocality effects beyond standard EPR-Bohm scheme and due to it supposedly can describe long-distance correlations in some biological processes. Comparison of model calculations with some experimental results discussed.
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error

Training agents via off-policy deep reinforcement learning (RL) requires a large memory, named replay memory, that stores past experiences used for learning. These experiences are sampled, uniformly or non-uniformly, to create the batches used for training. When calculating the loss function, off-policy algorithms assume that all samples are of the same importance. In this paper, we hypothesize that training can be enhanced by assigning different importance for each experience based on their temporal-difference (TD) error directly in the training objective. We propose a novel method that introduces a weighting factor for each experience when calculating the loss function at the learning stage. In addition to improving convergence speed when used with uniform sampling, the method can be combined with prioritization methods for non-uniform sampling. Combining the proposed method with prioritization methods improves sampling efficiency while increasing the performance of TD-based off-policy RL algorithms. The effectiveness of the proposed method is demonstrated by experiments in six environments of the OpenAI Gym suite. The experimental results demonstrate that the proposed method achieves a 33%~76% reduction of convergence speed in three environments and an 11% increase in returns and a 3%~10% increase in success rate for other three environments.
Coded Caching Schemes for Two-Dimensional Caching-Aided Ultra-Dense Networks

Coded caching technique is an efficient approach to reduce the transmission load in networks. In this paper, we consider a new widespread caching system called <inline-formula> <tex-math notation="LaTeX">$(K_{1},K_{2},U,r,M,N)$ </tex-math></inline-formula> two-dimensional (2D) caching-aided ultra-dense networks (UDNs) with a server containing <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> files, <inline-formula> <tex-math notation="LaTeX">$K_{1}K_{2}$ </tex-math></inline-formula> cache nodes arranged neatly on a grid with <inline-formula> <tex-math notation="LaTeX">$K_{1}$ </tex-math></inline-formula> rows and <inline-formula> <tex-math notation="LaTeX">$K_{2}$ </tex-math></inline-formula> columns, and <inline-formula> <tex-math notation="LaTeX">$U$ </tex-math></inline-formula> cache-less users randomly distributed around cache nodes. Each cache node can cache at most <inline-formula> <tex-math notation="LaTeX">$M\leq N$ </tex-math></inline-formula> files and has a certain service region by Euclidean distance. The server connects to users through the error-free shared link and the users in the service region of a cache node can freely retrieve all cached contents of this cache node. We aim to design a coded caching scheme for 2D caching-aided UDN system to reduce the transmission load in the worst case while meeting all possible users’ demands. First, we divide all possible users into four classes according to their geographical locations. Then our first order optimal scheme is proposed based on the Maddah-Ali and Niesen scheme. Furthermore, by compressing the transmitted signals of our first scheme based on Maximum Distance Separable (MDS) code, we obtain an improved order optimal scheme with a smaller transmission load.
Multiferroic response of nanocrystalline lithium niobate

In this research work the multiferroic nature of nanocrystalline lithium niobate (NLN) was investigated. The NLN samples were prepared by mechanochemical alloying followed by calcination; after that, the samples were annealed in Ar-5% H atmosphere in order to generate oxygen vacancies in the surface of the nanoparticles. X-ray diffraction (XRD) spectrum showed the formation of a single crystalline phase of LN with an average size of 25 nm. This was confirmed by high-resolution transmission electron microscopy (HRTEM). Ferroelectric hysteresis loop measurements showed a maximum polarization of Ps = 0.21 μC/mm2, remnant polarization Pr = 0.11 μC/mm2 and coercive field Ec = 5.1 kV/cm. Ferromagnetic measurements showed a magnetic remanence of Mr = 0.35 × 10−3 emu/g and a coercive field of HC = 0.75 kOe. Thus, confirming the multiferroic nature of nanometer-scale particles of LN.In this research work the multiferroic nature of nanocrystalline lithium niobate (NLN) was investigated. The NLN samples were prepared by mechanochemical alloying followed by calcination; after that, the samples were annealed in Ar-5% H atmosphere in order to generate oxygen vacancies in the surface of the nanoparticles. X-ray diffraction (XRD) spectrum showed the formation of a single crystalline phase of LN with an average size of 25 nm. This was confirmed by high-resolution transmission electron microscopy (HRTEM). Ferroelectric hysteresis loop measurements showed a maximum polarization of Ps = 0.21 μC/mm2, remnant polarization Pr = 0.11 μC/mm2 and coercive field Ec = 5.1 kV/cm. Ferromagnetic measurements showed a magnetic remanence of Mr = 0.35 × 10−3 emu/g and a coercive field of HC = 0.75 kOe. Thus, confirming the multiferroic nature of nanometer-scale particles of LN.
MURPHY: Relations Matter in Surgical Workflow Analysis

Autonomous robotic surgery has advanced significantly based on analysis of visual and temporal cues in surgical workflow, but relational cues from domain knowledge remain under investigation. Complex relations in surgical annotations can be divided into intra- and inter-relations, both valuable to autonomous systems to comprehend surgical workflows. Intra- and inter-relations describe the relevance of various categories within a particular annotation type and the relevance of different annotation types, respectively. This paper aims to systematically investigate the importance of relational cues in surgery. First, we contribute the RLLS12M dataset, a large-scale collection of robotic left lateral sectionectomy (RLLS), by curating 50 videos of 50 patients operated by 5 surgeons and annotating a hierarchical workflow, which consists of 3 inter- and 6 intra-relations, 6 steps, 15 tasks, and 38 activities represented as the triplet of 11 instruments, 8 actions, and 16 objects, totaling 2,113,510 video frames and 12,681,060 annotation entities. Correspondingly, we propose a multi-relation purification hybrid network (MURPHY), which aptly incorporates novel relation modules to augment the feature representation by purifying relational features using the intra- and inter-relations embodied in annotations. The intra-relation module leverages a R-GCN to implant visual features in different graph relations, which are aggregated using a targeted relation purification with affinity information measuring label consistency and feature similarity. The inter-relation module is motivated by attention mechanisms to regularize the influence of relational features based on the hierarchy of annotation types from the domain knowledge. Extensive experimental results on the curated RLLS dataset confirm the effectiveness of our approach, demonstrating that relations matter in surgical workflow analysis.
Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders

Data-driven soft sensors are extensively used in industrial and chemical processes to predict hard-to-measure process variables whose real value is difficult to track during routine operations. The regression models used by these sensors often require a large number of labeled examples, yet obtaining the label information can be very expensive given the high time and cost required by quality inspections. In this context, active learning methods can be highly beneficial as they can suggest the most informative labels to query. However, most of the active learning strategies proposed for regression focus on the offline setting. In this work, we adapt some of these approaches to the stream-based scenario and show how they can be used to select the most informative data points. We also demonstrate how to use a semi-supervised architecture based on orthogonal autoencoders to learn salient features in a lower dimensional space. The Tennessee Eastman Process is used to compare the predictive performance of the proposed approaches.
LOCKS: User Differentially Private and Federated Optimal Client Sampling

With changes in privacy laws, there is often a hard requirement for client data to remain on the device rather than being sent to the server. Therefore, most processing happens on the device, and only an altered element is sent to the server. Such mechanisms are developed by leveraging differential privacy and federated learning. Differential privacy adds noise to the client outputs and thus deteriorates the quality of each iteration. This distributed setting adds a layer of complexity and additional communication and performance overhead. These costs are additive per round, so we need to reduce the number of iterations. In this work, we provide an analytical framework for studying the convergence guarantees of gradient-based distributed algorithms. We show that our private algorithm minimizes the expected gradient variance by approximately $d^2$ rounds, where d is the dimensionality of the model. We discuss and suggest novel ways to improve the convergence rate to minimize the overhead using Importance Sampling (IS) and gradient diversity. Finally, we provide alternative frameworks that might be better suited to exploit client sampling techniques like IS and gradient diversity.
FMM-Net: neural network architecture based on the Fast Multipole Method

In this paper, we propose a new neural network architecture based on the H2 matrix. Even though networks with H2-inspired architecture already exist, and our approach is designed to reduce memory costs and improve performance by taking into account the sparsity template of the H2 matrix. In numerical comparison with alternative neural networks, including the known H2-based ones, our architecture showed itself as beneficial in terms of performance, memory, and scalability.