Miracle-dz/UniFAR-FTUs huggingface dataset:
Statistical complexity of the quasiperiodical damped systems

Abstract We consider the concept of statistical complexity to write the quasiperiodical damped systems applying the snapshot attractors. This allows us to understand the behaviour of these dynamical systems by the probability distribution of the time series making a difference between the regular, random and structural complexity on finite measurements. We interpreted the statistical complexity on snapshot attractor and determined it on the quasiperiodical forced pendulum.
Omentectomy for oncological surgical staging by transvaginal natural orifice transluminal endoscopic surgery (vNOTES): a preliminary study

Objective This study aimed to determine the feasibility of performing omentectomy by transvaginal natural orifice transluminal endoscopic surgery (vNOTES) for surgical staging of ovarian and high-risk endometrial malignancies. Methods This descriptive study was realized in a non-university hospital in Switzerland. Eighteen patients with suspicious adnexal masses or high-risk endometrial cancer underwent surgical staging comprising infracolic omentectomy by vNOTES between May 2020 and April 2023. Results Patients underwent oncological surgical staging for suspicious adnexal masses in 14 cases (77.8%) and high-risk endometrial cancer in 4 cases (22.2%). vNOTES omentectomies were performed in all patients without complications. Associated procedures included salpingo-oophorectomy (94.4%), hysterectomy (55.6%), peritoneal biopsies (33.3%), pelvic sentinel lymph node biopsies (22.2%), and appendectomy (5.6%). The median time to perform omentectomies was 9 (4–13) min. All oncological staging were completed by vNOTES. No significant intraoperative complications occurred. We observed 1 case (5.6%) of postoperative fever probably associated with vaginal cuff infection (Clavien-Dindo grade II). Conclusions This study demonstrated the feasibility of performing vNOTES oncological staging requiring complex extrapelvic procedures such as infracolic omentectomy, supporting its potential role for managing gynecological malignancies such as ovarian and high-risk endometrial cancers. However, before expanding this approach outside study settings, strong evidence of its feasibility, practical benefits, and long-term oncological outcomes are needed.
A Lightweight Monocular 3D Face Reconstruction Method Based on Improved 3D Morphing Models

In the past few years, 3D Morphing Model (3DMM)-based methods have achieved remarkable results in single-image 3D face reconstruction. However, high-fidelity 3D face texture generation has been successfully achieved with this method, which mostly uses the power of deep convolutional neural networks during the parameter fitting process, which leads to an increase in the number of network layers and computational burden of the network model and reduces the computational speed. Currently, existing methods increase computational speed by using lightweight networks for parameter fitting, but at the expense of reconstruction accuracy. In order to solve the above problems, we improved the 3D deformation model and proposed an efficient and lightweight network model: Mobile-FaceRNet. First, we combine depthwise separable convolution and multi-scale representation methods to fit the parameters of a 3D deformable model (3DMM); then, we introduce a residual attention module during network training to enhance the network’s attention to important features, guaranteeing high-fidelity facial texture reconstruction quality; and, finally, a new perceptual loss function is designed to better address smoothness and image similarity for the smoothing constraints. Experimental results show that the method proposed in this paper can not only achieve high-precision reconstruction under the premise of lightweight, but it is also more robust to influences such as attitude and occlusion.
A Limited Feedback Algorithm Sacred from Feedback Error for Slowly Time-varying Channel

The Grassmannian predictive codebook algorithm is an effective method for limited feedback in slowly time-varying channels. But a drawback of this algorithm is feedback error propagation that can cause errors in lots of channel states. This paper proposed an algorithm that can detect feedback error by comparing the choral distance between two adjacent predicting channels to a predefined threshold. Numerical results show that the algorithm can correct feedback error at the expense of little performance loss in tracking channel evolution.
Simulated Haptic Textures: Roughness

We present a novel technique for simulating haptic surface texture using only lateral forces with a two-degree-of-freedom device. Using surfaces built by this technique, we investigate the psychophysics of texture perception, and more specifically, roughness. We find a relationship between lateral force and perceived roughness that could be used to provide controlled amounts of roughness in haptic-simulation environments.
Crystal structure, magnetic properties and conductivity mechanisms of La0.7Ca0.3Mn0.5Fe0.5O3

ABSTRACT La0.7Ca0. 3Mn0.5Fe0. 5O3 (LCMFO) ceramic samples were prepared by conventional solid-state reaction. X-Ray diffraction investigations show that samples have orthorhombic space group Pnma (a = 5.447(2) Ǻ, b = 7.709(3) Ǻ, c = 5.467(3) Ǻ). During the neutron powder diffraction measurements of LCMFO in the temperature range of 10 ÷ 300 K the antiferromagnetic long-range ordering of G-type was seen. It has been established that 50% substitution of Mn/Fe leads to a complete suppression of the ferromagnetism in LCMFO samples. Investigations of temperature dependence of the magnetization, M(T), suggests the frustration of magnetic ground state and the existence of a spin-glass or a cluster-glass phase below the magnetic transition temperature close to 350 K. The temperature dependences of conductivity for La0.7Ca0. 3Mn0.5Fe0. 5O3 sample investigated in magnetic fields B = 0 and 1 T. According to the research, the mechanisms of hopping conductivity were established. Micro parameters in density of localized states were calculated for LCMFO samples. The width of the Coulomb gap Δ = 0.67 eV, rigid gap δ = 0.324 eV and the localization radii of charge carriers were estimated.
Numerical simulation of static and dynamic aerodynamics for formation flight with UCAVs

Using the effect of wingtip vortex from a leading aircraft, the formation flight of unmanned combat aerial vehicles (UCAVs) can accomplish various tasks with much more efficiency. Combined with the sliding mesh technique, this paper investigates a computational fluid dynamics (CFD) method to simulate and analyze, in detail, the static and dynamic aerodynamic characteristics of formation with two flying wing models named as SACCON. Besides, the dynamic derivatives indicating the dynamic stability of aircrafts in formation are identified and validated, and normal single flights are also analyzed as a comparative study. The results demonstrate that, due to the wake of the leader, significant enhancements of the wingman are achieved, in terms of the lift-to-drag ratio, pitching, rolling, and yawing moments in steady states, but the static stabilities are reduced as unbalanced moments. Moreover, compared with a single aircraft, the unsteady sinusoidal motions indicate that the dynamic aerodynamics and its corresponding dynamic derivatives change in a much more complex manner. It is concluded that the initial angle of attack and distance in the formation flight are the main factors to evaluate the effect, which should be monitored and adjusted in real time for better use of the profit of formation, especially in dynamic maneuvering.
Injury risk functions for 5th percentile females: ankle inversion and eversion

Females are more likely to sustain lower extremity injuries than males. Many injury risk functions (IRFs) for females are derived from scaled male data. Biomechanical differences between males and females in the lower extremity are known, but little is known about how these differences affect the applicability of scaling between the sexes. Twenty matched pair small female PMHS legs were tested by applying inversion and eversion of the ankle, matching a condition previously tested on males and larger females. For the new dataset, half the specimens were barefoot and the remainder were shod. The goal of this study was to generate IRFs for ankle inversion and eversion from a combined dataset of male and female PMHS tests to determine the extent to which sex, scaling, and the presence of a shoe affect the prediction of ankle injury tolerance. Results suggest that sex-specific IRFs exhibit greater predictive ability than those developed with scaled male and female data combined. Scaling inversion and eversion moment was found to misconstrue the measured data, even within the same sex. Therefore, IRFs for each sex (no specific anthropometry) are recommended. Absence or presence of a shoe was a significant predictor of injury tolerance and the presented IRFs take both conditions into account.
Transformation of the economy and society: motivation for the achievement of Latvian population

Digitalization of Latvian economy is set as a comprehensive and long-term developmental strategy for the society as a whole. The economic crisis caused by the COVID-19 pandemic determined the quantitative values for the economic growth score in order to overcome the existing technological gap with leading countries in technological progress, thus aiming to achieve national goal of mobilizing local national resources. The increasing role of information technology in the modern world objectively determines the necessity of training specialists who are able to improve the efficiency of digitalization process. Therefore, development of professional competences is important for the economic growth of the entire society. This article examines such aspect of a human resource as motivation for success, as an essential component for preparing Latvian specialists in the field of IT technologies. The topicality of the study is determined by the fact that there is still a lack of studies in which the content of the concept of achievement motivation is clearly defined. In this study, the content of the concept of achievement motivation was justified. It was discovered that two aspects of motivation of Latvian residents have not been studied in Latvia properly: motivation for success and fear of failure. This study summarizes the aspects of forming the content for the achievement motivation. The aim of the research was to explore motivation towards achievements of Latvian population. The main result of the study: the content of the concept of achievement motivation was determined. It was discovered that there are no statistically significant relationships between the motivation for achievement, age and gender. Methods applied in this study include methods of statistical data analysis: Cronbach's Alpha coefficient that was identified for measuring the reliability and consistency of indicators; Chi-Square tests (χ2); parametric one-way analysis of variance ANOVA; Pearson correlation coefficient (r-Pearson); Mann-Whitney U - test, Kruskal-Wallis rank-sum H - test.
Divergences and estimating tight bounds on Bayes error with applications to multivariate Gaussian copula and latent Gaussian copula

In Bayesian decision theory, there has been a great amount of research into theoretical frameworks and information– theoretic quantities that can be used to provide lower and upper bounds for the Bayes error. These include well-known bounds such as Chernoff, Battacharrya, and J-divergence. Part of the challenge of utilizing these various metrics in practice is (i) whether they are ”loose” or ”tight” bounds, (ii) how they might be estimated via either parametric or non-parametric methods, and (iii) how accurate the estimates are for limited amounts of data. In general what is desired is a methodology for generating relatively tight lower and upper bounds, and then an approach to estimate these bounds efficiently from data. In this paper, we explore the so-called triangle divergence which has been around for a while, but was recently made more prominent in some recent research on non-parametric estimation of information metrics. Part of this work is motivated by applications for quantifying fundamental information content in SAR/LIDAR data, and to help in this, we have developed a flexible multivariate modeling framework based on multivariate Gaussian copula models which can be combined with the triangle divergence framework to quantify this information, and provide approximate bounds on Bayes error. In this paper we present an overview of the bounds, including those based on triangle divergence and verify that under a number of multivariate models, the upper and lower bounds derived from triangle divergence are significantly tighter than the other common bounds, and often times, dramatically so. We also propose some simple but effective means for computing the triangle divergence using Monte Carlo methods, and then discuss estimation of the triangle divergence from empirical data based on Gaussian Copula models.
Pain in High-Dose-Rate Brachytherapy for Cervical Cancer: A Retrospective Cohort Study

High-dose-rate brachytherapy (HDR) is part of the main treatment for locally advanced uterine cervical cancer. Our aim was to evaluate the incidence and intensity of pain and patients’ satisfaction during HDR. Risk factors for suffering pain were also analyzed. A retrospective study was carried out by extracting data from patients who had received HDR treatment for five years. Postoperative analgesia had been administered using pre-established analgesic protocols for 48 h. Pain assessment was collected according to a protocol by the acute pain unit. Analgesic assessment was compared according to analgesic protocol administered, number of needles implanted, and type of anesthesia performed during the procedure. From 172 patients treated, data from 247 treatments were analyzed. Pain was considered moderate in 18.2% of the patients, and 43.3% of the patients required at least one analgesic rescue. Patients receiving major opioids reported worse pain control. No differences were found regarding the analgesic management according to the intraprocedural anesthesia used or the patients’ characteristics. The number of inserted needles did not influence the postoperative analgesic assessment. Continuous intravenous infusion of tramadol and metamizole made peri-procedural pain during HDR mild in most cases. Many patients still suffered from moderate pain.
It takes two hearts to cope with an artificial one: the necessity of applying a dyadic approach in the context of left ventricular assist device transplantation—Opinion paper

COPYRIGHT © 2023 Golan and Vilchinsky. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. It takes two hearts to cope with an artificial one: the necessity of applying a dyadic approach in the context of left ventricular assist device transplantation—Opinion paper
In Situ Ultra-Small- and Small-Angle X-ray Scattering Study of ZnO Nanoparticle Formation and Growth through Chemical Bath Deposition in the Presence of Polyvinylpyrrolidone

ZnO inverse opals combine the outstanding properties of the semiconductor ZnO with the high surface area of the open-porous framework, making them valuable photonic and catalysis support materials. One route to produce inverse opals is to mineralize the voids of close-packed polymer nanoparticle templates by chemical bath deposition (CBD) using a ZnO precursor solution, followed by template removal. To ensure synthesis control, the formation and growth of ZnO nanoparticles in a precursor solution containing the organic additive polyvinylpyrrolidone (PVP) was investigated by in situ ultra-small- and small-angle X-ray scattering (USAXS/SAXS). Before that, we studied the precursor solution by in-house SAXS at T = 25 °C, revealing the presence of a PVP network with semiflexible chain behavior. Heating the precursor solution to 58 °C or 63 °C initiates the formation of small ZnO nanoparticles that cluster together, as shown by complementary transmission electron microscopy images (TEM) taken after synthesis. The underlying kinetics of this process could be deciphered by quantitatively analyzing the USAXS/SAXS data considering the scattering contributions of particles, clusters, and the PVP network. A nearly quantitative description of both the nucleation and growth period could be achieved using the two-step Finke–Watzky model with slow, continuous nucleation followed by autocatalytic growth.
Comparison between sevoflurane and propofol on immunomodulation in an in vitro model of sepsis

Introduction Patients with sepsis often require sedation and/or anesthesia. Although the immunomodulatory effects of anesthetics have been increasingly recognized, the molecular mechanisms require better elucidation. We compared the effects of sevoflurane with propofol on the expression of pro- and anti-inflammatory biomarkers released by monocytes/macrophages and blood/bronchoalveolar lavage fluid (BALF) neutrophils, the phagocytic capacity of monocytes/ macrophages, and neutrophil migration, as well as mediators associated with alveolar epithelial and endothelial cells obtained from rats with sepsis. Methods Polymicrobial sepsis was induced by cecal ligation and puncture in nine male Wistar rats. After 48 h, animals were euthanized and their monocytes/alveolar macrophages, blood and BALF neutrophils, as well as alveolar epithelial and endothelial cells were extracted, and then exposed to (1) sevoflurane (1 minimal alveolar concentration), (2) propofol (50 μM), or (3) saline, control (CTRL) for 1 h. Results Sevoflurane reduced interleukin (IL)-6 mRNA expression in monocytes and alveolar macrophages (p = 0.007, p = 0.029), whereas propofol decreased IL-6 mRNA only in alveolar macrophages (p = 0.027) compared with CTRL. Sevoflurane increased IL-10 expression (p = 0.0002) in monocytes compared with propofol and increased IL-10 mRNA and transforming growth factor (TGF)-β mRNA (p = 0.037, p = 0.045) compared with CTRL. Both sevoflurane and propofol did not affect mRNA expression of IL-10 and TGF-β in alveolar macrophages. The phagocytic capacity of monocytes (p = 0.0006) and alveolar macrophages (p = 0.0004) was higher with sevoflurane compared with propofol. Sevoflurane, compared with CTRL, reduced IL-1β mRNA (p = 0.003, p = 0.009) and C-X-C chemokine receptor 2 mRNA (CXCR2, p = 0.032 and p = 0.042) in blood and BALF neutrophils, and increased CXCR4 mRNA only in BALF neutrophils (p = 0.004). Sevoflurane increased blood neutrophil migration (p = 0.015) compared with propofol. Both sevoflurane and propofol increased zonula occludens-1 mRNA (p = 0.046, p = 0.003) in alveolar epithelial cells and reduced Toll-like receptor 4 mRNA (p = 0.043, p = 0.006) in alveolar endothelial cells compared with CTRL. Only propofol reduced surfactant protein B mRNA (p = 0.028) in alveolar epithelial cells. Discussion Sevoflurane, compared with propofol, increased anti-inflammatory biomarkers in monocytes, but not in alveolar macrophages, enhanced monocyte/alveolar macrophage phagocytic capacity and increased neutrophil migration in in vitro experimental sepsis. Both propofol and sevoflurane protected lung epithelial and endothelial cells.
Purity-Preserving Kernel Tensor Low-Rank Learning for Robust Subspace Clustering

In recent years, multi-kernel learning (MKL) methods have been widely used in performing nonlinear data subspace clustering tasks, benefiting from the fact that they do not require the selection and tuning of predefined kernels. However, the effect of raw noise on the data structure in the feature space has been neglected in most MKL studies so far. In this paper, we propose a robust subspace clustering method called purity kernel tensor low-rank learning (KTLL), which effectively isolates noise transfer from the original data space to the high-dimensional feature space. Specifically, we construct the kernel pool obtained by MKL as a primitive third-order kernel tensor, separate the corrupted information in the feature space, and use the separated pure kernel tensor to learn the optimal affinity matrix. The tensor learning of the kernel pool can effectively mine the higher-order correlations among different kernel matrices, thus improving the clustering performance of KTLL.We have conducted extensive experiments to compare KTLL with state-of-the-art MKL and deep subspace clustering algorithms, and our results demonstrate the superiority of KTLL.
Adaptive-Optimization-Based Digital Simulation Database for Nonuniform Aging Diagnosis of Transformer Insulation System

The trend toward intellectualization is pervasive in the field of power equipment fault diagnosis. However, due to the sample database's limitations, intelligent diagnosis of transformer insulation aging states near the internal hotspot regions remains a challenge. To address this issue, an optimization-design-based simulation model is proposed for the development of a frequency domain spectroscopy (FDS) database for diagnosing nonuniform aging states of power transformer. The simulation model is developed in the current work using distributed relaxation circuits and fast Fourier transforms, and the electric parameters used are identified using adaptive iteration particle swarm optimization. Finally, verification established that the extended simulation model was capable of simulating the FDS of a system with nonuniformly assigned aging states. In this regard, the contribution will aid in the establishment of a trustworthy FDS database for the purpose of advancing intelligent diagnosis of the aging state of transformer oil–paper insulation at hotspots.
Design of a side-band-separating heterodyne mixer for band 9 of ALMA

A side-band-separating (SBS) heterodyne mixer has been designed for the Atacama large millimeter array (ALMA) 602-720 GHz band, as it presents a great improvement over the current double-side-band configuration under development at the moment. Here we present design details and the results of extensive computer simulations of its performance. The designed SBS mixer exploits waveguide technology. At its core it consists of a quadrature hybrid, two LO injectors, and three dumping loads. The entire structure has been analyzed in a linear circuit simulator with custom code written to accurately (verified by HFSS finite element simulations) model the hybrid structures. This technique permitted an optimization of the dimensions and the study of the consequences of deviations from the ideal situation. It is estimated that the tolerances in several of the components should be kept at less than 3 /spl mu/m.