Miracle-dz/UniFAR-FTUs huggingface dataset:
The Predictive Role of Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Monocytes-to-Lymphocyte Ratio (MLR) and Gammaglobulins for the Development of Cutaneous Vasculitis Lesions in Primary Sjögren’s Syndrome

Background: In primary Sjögren’s Syndrome (pSS), cutaneous vasculitis lesions (CVL) are extraglandular manifestations with an important clinical and prognostic impact and their early detection might contribute to the improvement of disease control and even patients’ survival. The aim of this study was to evaluate the predictive potential of hematological elements in the development of CVL in pSS patients. Methods: In this single center, retrospective study, a total of 245 participants were included (124 pSS patients and 121 healthy controls). Complete blood count, inflammatory and immunological parameters were determined at the initial visit. pSS patients underwent a periodical follow-up program, when disease progression and response to therapy was monitored, including the emergence of CVL. Results: In pSS, leucocytes, lymphocyte, neutrophil, monocyte, erythrocyte and platelet counts are significantly decreased compared to healthy subjects (p < 0.001), whereas cellular ratios: NLR, PLR, MLR, and immunological and inflammatory parameters are significantly increased (p < 0.001). A total of 34 patients with pSS (27.41%) developed CVL during the follow-up period. The occurrence of CVL was positively correlated with neutrophil and platelet counts (p < 0.001), while for lymphocytes the correlation was negative (p < 0.001). Cellular ratios: NLR, PLR and MLR, and gammaglobulins also revealed significant positive correlations with the emergence of CVL in pSS (p < 0.001). The multivariate analysis confirmed the independent predictive character for CVL emergence in pSS for NLR (CI95% 0.053–0.2, p < 0.002), PLR (CI95% 0.001–0.003, p < 0.003), MLR (CI95% 0.086–0.935, p < 0.019), and gammaglobulins (CI95% 0.423–0.688, p < 0.001). Conclusions: Standard hematological parameters, widely used in the assessment of pSS patients, such as NLR, PLR, MLR and gammaglobulins could become valid elements that might be used for the early detection of patients at risk for the development of CVL.
A Selective Review and Virtual Screening Analysis of Natural Product Inhibitors of the NLRP3 Inflammasome

The NLRP3 inflammasome is currently an exciting target for drug discovery due to its role in various inflammatory diseases; however, to date, no NLRP3 inhibitors have reached the clinic. Several studies have used natural products as hit compounds to facilitate the design of novel selective NLRP3 inhibitors. Here, we review selected natural products reported in the literature as NLRP3 inhibitors, with a particular focus on those targeting gout. To complement this survey, we also report a virtual screen of the ZINC20 natural product database, predicting favored chemical features that can aid in the design of novel small molecule NLRP3 inhibitors.
Better forest policies and management for sustainability transformations : How can expectations for forests be met?

Nowadays we recognize that forests have a critical role in balancing our environment. Halting biodiversity loss, regulating climate, sequestering and storing carbon, and improving resilience against droughts, storms, pest outbreaks and other risks are among key ecosystem services. At the same time, forests provide a wide variety of products for the bio-based economy and for replacing fossil resources. Forests help regulate water and provide recreation. These multiple ecosystem services are discussed in several policies and strategies, with some defining specific targets. However, said policies rarely address the conflicts and links between these multiple demands. Rather, policies often primarily focus on prominent ecosystem services and are designed from specific interests, creating policy incoherence that renders policy targets unfeasible and even threatens sustainability of forest ecosystems.
Exact error probability of DQPSK signal with nonlinear phase noise

Differential quadrature phase-shift keying (DQPSK) signal has received renewed attention recently for spectral-efficiency transmission systems. Nonlinear phase noise is the major degradation for phase-modulated signals. Correlated with received intensity, nonlinear phase noise can be compensated by the received intensity. The exact error probability of DQPSK signal is derived with and without linear compensation, taking into account the dependence between linear and nonlinear phase noise.
Cooperative relay pursuit with input saturation constraint and external disturbances

This paper studies a class of tracking consensus problem called the cooperative relay pursuit where a group of agents cooperatively pursuit and capture an evading agent that enters the surveillance region. A subgroup of agents closest to the evader is commanded to pursuit the evader and thus called pursuers, while others called surveillance agents stay at their origin places. A relay mechanism is introduced to respect the pursuit efficiency, energy constraints and other factors. As the evader moves, some pursuers that do not remain the closest vicinity of the evader leave the pursuing group, while some surveillance agents that become more closer to the evader join into the pursuing. Due to the relay mechanism, the dynamics of pursuers are naturally an impulsive system and thus is nonsmooth. This paper aims to propose a distributed controller to achieve cooperative relay pursuit even when agents are subjected to both input saturation constraint and external disturbances. A modified algebraic Riccati equation and low‐gain technique are proposed to achieve the tracking consensus with an H∞$$ {H}_{\infty } $$ performance. A simulation example is provided to validate the theoretical results.
Metro Traffic Flow Prediction via Knowledge Graph and Spatiotemporal Graph Neural Network

Existing traffic flow prediction methods generally only consider the spatiotemporal characteristics of traffic flow. However, in addition to the spatiotemporal characteristics, the interference of various external factors needs to be considered in traffic flow prediction, including severe weather, major events, traffic control, and metro failures. The current research still cannot fully use the information contained in these external factors. To address this issue, we propose a novel metro traffic flow prediction method (KGR-STGNN) based on knowledge graph representation learning. We construct a knowledge graph that stores factors related to metro traffic networks. Through the knowledge graph representation learning technology, we can learn the influence representation of external factors from the traffic knowledge graph, which can better incorporate the influence of external factors into the prediction model based on the spatiotemporal graph neural network. Experimental results demonstrate the effectiveness of our proposed model.
The Seiberg-Witten equations on a surface times a circle

In this thesis I study the Seiberg-Witten equations on the product of a genus g surface [Sigma] and a circle. I exploit S1 invariance to reduce to the vortex equations on [Sigma] and thus completely describe the Seiberg-Witten monopoles. In the case where the monopoles are not Morse-Bott regular, I explicitly perturb the equations to obtain such a situation and thus find a candidate for the chain complex that calculates the Seiberg-Witten Floer homology groups.
Stress-induced self-biasing of magnetoelectric coupling in embedded Ni/PZT/FeNi composite

In this study, a self-biased magnetoelectric (ME) composite is designed without employing the epoxy and magnetization-graded materials. The composite is referred to as the three-phases-embedded one, consisting of a PZT ring with an inner disc of Ni50Fe50 and an outer ring of Ni via hard contact (Ni/PZT/FeNi composite). A large self-biased ME response and apparent hysteresis behavior are observed in the composites. Stress analysis and finite element simulation are carried out to reveal the underlying mechanism of the self-biased ME coupling and the magnetic-elastic-electric coupling of the embedded composites. The results indicate that the assembly stress induces magnetization of Ni at zero bias, and renders the self-biased ME coupling effect for the embedded Ni/PZT/FeNi composite.
Two-dimensional numerical modeling of nonisothermal flows for unsteady thermal-hydraulic analysis

Finite difference numerical methods are available for the computation of unsteady nonisothermal flows with possibly strong buoyancy effects or head loss terms. The algorithm uses either velocity-pressure or velocity-stream-function formulations. The treatment of advective terms involves the method of characteristics. Arbitrary nonorthogonal curvilinear grids may be used, and turbulence is modeled by means of a k-epsilon eddy viscosity model. Two examples of application to liquid-metal fast breeder reactor thermal analysis are: hot plenum flow in a pool-type vessel during flow and thermal transients and unsteady flow in a pipe resulting from an inlet temperature change with a very low flow rate. For both cases, comparisons with experimental studies and applications to real reactors are shown.
Modelagem de Tópicos em Textos Curtos: uma Avaliação Experimental

As redes sociais são utilizadas para expressar opiniões ou interagir com outras pessoas. Diante do amplo escopo de assuntos publicados e a linguagem informal presente nas postagens, a busca de informações é significativamente desafiadora. Assim, descobrir automaticamente os tópicos tratados nos textos ruidosos e com pouco contexto postados é primordial. Dado este cenário, este artigo contribui com uma análise comparativa de métodos de modelagem de tópicos, incluindo os baseados em abordagens probabilísticas e neurais. Ademais, esse artigo contribui com um método para rotular automaticamente os tópicos, permitindo uma análise qualitativa dos tópicos descobertos.
Research on Intelligent Production Line Design and Dynamic Balance for 3C Products

An intelligent production line design scheme for 3C products is introduced amid the current situation of low automation in assembly, testing, packaging and other production contacts in the 3C manufacturing industry, high demand for upgrades and fierce market competition, taking a 3C electronic product as an example to investigate its overall layout, workstation structure, architecture system and control system. In addition, according to the concept of lean production, a method is proposed to realize dynamic balance of production line. First of all, the dynamic balance mathematical model is established, then the genetic algorithm is used to solve the model parameters, and finally the production line can keep the balance by adjusting the running speed of field equipment according to the calculation results. The actual verification shows that the production line runs stably, completes the automatic and intelligent production of products, with a balance rate at an excellent level. This can serve as a reference for relevant enterprises to build intelligent production lines for 3C products and implement lean production.
A meta-scientific broad panorama of ethical aspects in the Brazilian IHC

Ethics is a field of study that analyses practices, their principles, customs, and habits. The Grand Research Challenges in Human-Computer Interaction in Brazil (GranDIHC-BR) between 2012 and 2022 highlighted the relevance of the topic Ethics in the context of Human Values. Aligned with that, we claim that computational techniques are not neutral and, therefore, ethical analysis is essential to the design of applications as well as theoretical or conceptual research. The goal of this work is to provide an understanding on how researchers have addressed the ethical aspects by analyzing the publications of the IHC-BR: the Brazilian Symposium on Human Factors in Computing Systems, the leading conference dedicated to HCI in Brazil. Thus, we conducted a Systematic Literature Review guided by the main research question: how does ethics permeate research published between 2006 and 2021? As a result, although less than 5% of the papers discussed ethical content, we observed a significant growth in ethical aspects over the years, both associated with the meta-research and its application.
Wind measurements in Mars' middle atmosphere at equinox and solstice: IRAM Plateau de Bure interferometric CO observations

Characterizing the Martian atmosphere is an essential objective to understand its meteorology and its climate. The lower atmosphere (< 40 km) and middle atmosphere (40-80 km) of Mars appear dynamically coupled at much higher levels than in the case of the Earth. The vertical extension of the weather phenomena is considerable with for example Hadley's cells reaching the top of the neutral atmosphere (120 km). The circulation in the middle atmosphere modifies the meteorology of the lower atmosphere, affecting the transport and climatic processes Observations of the CO rotational lines at millimeter (mm) wavelengths (Clancy et al 1990) have strongly contributed in the study of the vertical distribution of this compound and the thermal profile in the atmosphere of Mars over 0-70 km. Singledish observations of the CO Doppler lineshift have allowed direct wind measurements in the martian middle atmosphere near 50 km altitude (Lellouch et al 1991), but at a low spatial resolution (12'') enabling only an essentially hemispheric resolution of the martian disk. The use of mm interferometry has allowed us to better spatially resolve the Martian disk, in order to obtain wind maps of the middle atmosphere (Moreno et al 2001).
Mesh-free methods and time integrations for transient heat conduction

The paper deals with transient heat conduction in functionally gradient 浡terials. The spatial variation of the te浰eratureeld is approxi浡ted by using alternatively two various 浥sh free app牯xi浡tions, while the ti浥 dependence is t牥ated either by the 䱡place transform 浥thod and/or by the polyno浩al interpolationintheti浥stepping浥thod. Theaccuracyandconvergenceofthenu浥ricalresultsaswell as the co浰utational e๣iency of various approaches are compared in nu浥rical test exa浰le.
Synthesis, Characterization, and Comparison of Pure Zinc Oxide and Magnesium-Doped Zinc Oxide Nanoparticles and their Application on Ethanol Sensing Activities

In this study, we reported the synthesis of pure ZnO and Mg-doped ZnO (Mg-ZnO) nanoparticles by simple co-precipitation method and studied the ethanol sensing activity of the synthesized nanostructures. XRD analysis illustrates that the synthesized ZnO and Mg-doped ZnO nanoparticles (NPs) possess hexagonal wurtzite structure and the average crystallite size is calculated to be 29 nm and 33 nm, respectively. The FT-IR spectra of pure and Mg-doped ZnO NPs confirm that the presence of bands appeared near 400 cm-1 for Zn-O and the bands at 622 cm-1 can be attributed to Mg-O stretching modes. The band gap energy estimated from the absorption spectra for ZnO and Mg-ZnO NPs, respectively, at 3.26 eV and 3.32 eV, displays the considerable optical property. Further, we observed that the UV-Vis spectroscopic data exhibits high absorbance in the UV range for the prepared samples. The SEM images clearly display the needle-like morphology of the synthesized samples. Dynamic light scattering analysis shows average particle size of 110 nm. The ethanol sensing measurements were carried out with 100 ppm concentration, and the linear responses from ZnO and Mg-ZnO NPs-based sensors are detected in the working temperature of 350°C. The obtained results demonstrated that the synthesized Mg-ZnO nanostructures have improved conductivity with larger active surface area for the most promising application in the ethanol sensing activity.
EFFECT OF SEASON AND GROWTH REGULATORS ON IN VITRO PROPAGATION OF JACKFRUIT (ARTOCARPUS HETEROPHYLLUS LAM)

The present study was conducted at the Laboratory of Plant Tissue Culture of Agrotechnology Discipline, Khulna University, Khulna, during the period from September, 2004 to May, 2005 with a view to study the effect of time of the year and growth regulators on in vitro propagation of jackfruit. Shoot tips from fresh sprouts on the trunk of mature jackfruit trees (Artocarpus heterophyllus Lam.) were used as explants. The explants were collected at three different times of the year from the same jackfruit plants viz. 5/09/04, 18/10/04, 5/01/05. The collected explants were cultured on MS medium supplemented with NAA-0.5 mgl-1 and fortified with different levels (1.0, 1.5 and 2.0 mgl-1) of BA to study the proliferation and multiplication of shoots from the cultured shoot tips and their subsequent growth and development. The in vitro shoot bud proliferation, multiplication and survivability were found better when the explants were cultured in January. BA at a concentration of 1.5 mgl-1 was found most suitable for shoot proliferation and multiplication. And all the three concentrations of BA varied significantly. The survivability of the proliferated shoot buds was found better in concentration of BA at 1.0 and 1.5 mgl-1.
On the Local Separation of E and B Polarization Patterns in CMBR

The work examines the small-scale E and B patterns of the CMBR polarization anisotropy. Particularly we address the topological natures and spatial symmetries of the E and B modes, and how one may make use of the local measurements of Stokes parameters to separate these two modes. The analysis of a local map in the Fourier space for separating the E and B modes can be an ill-defined problem, due to the non-periodic boundary condition in the map for each mode. A strategy for the E-B separation in a local map can be through an appropriate projection of the polarization tensor field into a unique vector field, which naturally contains a curl-free E component and a divergence-free B component. An integral method, equivalent to the real-space, top-hat filtering, is proposed for extracting the smoothed "charge" and "current" of the E and B modes separately. The top-hat filter function exhibits, in its power spectrum, an oscillation of a well-defined frequency comparable to the filter size. It is pointed out that when the inverse filter size is chosen properly, matching the oscillation period in the E-mode power spectrum, the sensitivity for the E-mode detection can be made to be significantly improved.
Accuracy of Prenatal Ultrasound Scans for Screening Cleft Lip and Palate: A Systematic Review

Children born with clefts encounter various postnatal issues which have a negative impact and long-term psychological effects on both the parents and themselves. This systematic review aims to find the accuracy of two-dimensional (2D)/3D scans for screening cleft lip and palate which would help the parents to be mentally and psychologically prepared to plan for future surgeries. To identify relevant literature, an electronic search was performed using PubMed, Trip database, Cochrane, and Google Scholar database. The search yielded 927 articles, of which 10 fulfilled the eligibility criteria and were included in this systematic review. These studies showed that the combination of 2D and 3D ultrasound scans has increased the specificity and sensitivity in detecting orofacial clefts, as they aid in improved visualization of the fetal face. However, in future, the visualization of the palate can be improved by inventing other modified views as cleft palate diagnosis is more prone to error.
Impact of Seeding Techniques and Planting Density on Productivity and Profitability of Oat Cultivar (Supergreen Oat)

Less fodder availability in the Rabi season causes a dramatic reduction in Pakistan's livestock sector's production capacity. In this regard, a field investigation was carried out for two years (2016-17 to 2017-18) at the Research Area of Fodder Research Sargodha to assess the most suitable seeding techniques and planting density for the new oat cultivar “Supergreen Oat”. Three seeding techniques were tested, i.e., 15 cm, 30 cm, and 45 cm apart rows, and three planting densities of 67.5 kg ha-1, 80 kg ha-1, and 92.5 kg ha-1. The experiment was sown during the first week of November each year by using seed rate according to treatments of new oat cultivars “Supergreen Oat”. Data regarding average forage yield, agronomic yield attributes, and economics of both variable factors, row spacing, and seeding rate were recorded. Perspective indicated statistically significant differences among the treatments. Row spacing of 15 cm apart lines produced the maximum forage yield (116.53 t ha-1) as compared to other sowing techniques, and the seeding rate (80 kg ha-1) performed better (118.58 t ha-1) as compared to both seeding rates. The interactive effect of both variable factors revealed that the seeding rate 80 kg ha-1 (SR2) performed better when sown at 15 cm (RS1) apart line to line (127.26 t ha-1) and also showed a maximum benefit cost ratio (2.85).
"The Waters I am Entering No One yet Has Crossed": Alexander Friedman and the Origins of Modern Cosmology

Ninety years ago, in 1922, Alexander Friedman (1888-1925) demonstrated for the first time that the General Relativity equations admit non-static solutions and thus the Universe may expand, contract, collapse, and even be born. The fundamental equations he derived still provide the basis for the current cosmological theories of the Big Bang and the Accelerating Universe. Later, in 1924, he was the first to realize that General Relativity allows the Universe to be infinite. Friedman's ideas initially met strong resistance from Einstein, yet from 1931 he became their staunchest supporter. This essay connects Friedman's cosmological ideas with the 1998-2004 results of the astronomical observations that led to the 2011 Nobel Prize in Physics. It also describes Friedman's little known topological ideas of how to check General Relativity in practice and compares his contributions to those of Georges Lemaitre. Recently discovered corpus of Friedman's writings in the Ehrenfest Archives at Leiden University sheds some new light on the circumstances surrounding his 1922 work and his relations with Paul Ehrenfest.
General Continuum Mechanics

Part I. Basic Topics: 1. Introduction 2. Kinematics 3. Kinetics 4. Linear elasticity 5. Newtonian fluid mechanics Part II. Special Topics: 6. Curvilinear continuum 7. Nonlinear continuum 8. Electromagnetic continuum 9. Differential geometry continuum Epilogue.
Integrating Machine Learning Model Ensembles to the SAVIME Database System

The integration of machine learning algorithms into database systems has brought new opportunities in different areas from indexing to query optimization. In this paper, we describe the integration of an approach for the automatic computation of model ensembles to answer a predictive query. We have extended the SAVIME multi-dimensional array DBMS by adding a new function to its query language and implementing the selection and allocation ensemble model dataflow into the query processing component of SAVIME. We show some initial experimental results depicting its performance against a pure Python implementation of the ensemble approach. Interestingly enough the C++ implementation within SAVIME is up to 4 times faster than its competitor.