Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Resolution SAR Image Classification via Multiscale Local Fisher Patterns

With the increased number of synthetic aperture radar (SAR) systems that have been launched in recent years, many high-quality images have been produced for precise earth observation. The number of available images requires new feature extraction techniques to capture enough discriminant information from high-resolution SAR images. To effectively characterize different land covers, a multiscale local Fisher pattern (MLFP) is proposed to extract both statistical and spatial properties in this work. First, the Fisher vector (FV) of each pixel is calculated after the statistical distribution of high-resolution SAR intensities is modeled via a Gamma mixture model. Then, the generative and discriminant information implied in the FV is exploited after the extraction of the geometrical information between neighboring pixels within different scales. Two experiments are conducted to demonstrate the performance of the proposed MLFP, which are high-resolution SAR image land-cover classification and SAR scene classification. Compared with some existing approaches, the proposed MLFP shows superior performance after the statistical and spatial structure information from different land covers is exploited.
A Dual-Wideband Structure-Shared Antenna With Self-Diplexing Property for High-Power Microwave Application

This communication proposes a dual-wideband antenna that is composed of a shared structure with self-diplexing capability. The antenna structure is a combination of a tapered slot antenna (TSA) operating in the range of <inline-formula> <tex-math notation="LaTeX">$S$ </tex-math></inline-formula>- to <inline-formula> <tex-math notation="LaTeX">$X$ </tex-math></inline-formula>-bands and a horn antenna array that operates in <inline-formula> <tex-math notation="LaTeX">$Ka$ </tex-math></inline-formula>-band. The structure-shared antenna has high design freedom for each band with controllable properties for a dual-wideband application. The back-lobe level is greatly reduced at both bands due to the implementation of shared structure. The isolation between two ports is enhanced without additional decoupling structures that develops the self-diplexing characteristic of the antenna. Moreover, the electric field distributions of the proposed antenna are analyzed through simulation, which proves its potential in high-power microwave (HPM) application.
A generalized method for constructing hypothetical nanoporous materials of any net topology from graph theory

Here we present a method for constructing hypothetical crystalline nanoporous materials, such as metal–organic frameworks (MOFs), using a graph theoretical approach. The method takes as input the discrete secondary (or structural) building units (SBUs) with defined connection points, and a desired 3-dimensional net topology in the form of a labelled quotient graph. The hypothetical materials are constructed based on the principle that using a labelled quotient graph obtained, for example from the reticular chemistry structure resource (RCSR), one can construct a net embedding in 3-D Euclidean space with an infinite number of different representations. Thus, crystalline structures can be realized by manipulating a net's embedding such that vertices of the net match the geometries of the desired SBUs. To demonstrate the methodology, 46 different network topologies (i.e.tbo, pcu), are used to build MOFs from the same pair of 4-coordinate and 3-coordinate SBUs. We further show that the method can be used to generate hypothetical MOFs where the most common realization of a net, called the barycentric representation, will not produce a viable structure. When combined with a robust force field based geometry optimizer, the method can be used to generate large and structurally diverse hypothetical databases for virtual screening purposes.
MINDFULNESS, AORTIC WAVE REFLECTION, AND ARTERIAL STIFFNESS

Cardiovascular disease and hypertension are leading causes of death worldwide. The mitigation of high blood pressure is essential in decreasing the prevalence of cardiovascular-related deaths worldwide. Stress and anxiety are known to play a role in augmenting blood pressure in individuals of all ages. This increase in pressure can result in premature stiffening of large arteries in systemic circulation. Mindfulness is an ancient, non-secular practice which aids in stress reduction. Decentering, an aspect of mindfulness, involves accepting thoughts as transient rather than permanent associations. The purpose of this project was to examine the relationship between cardiovascular health and mindfulness practices. In Study 1, we investigated how a one-hour session of mindfulness meditation affected arterial stiffness and other cardiovascular variables. In Study 2, we compared inexperienced meditators’ inherent ability to decenter with their arterial stiffness. We hypothesized that an acute meditation session would improve cardiovascular variables in Study 1. In Study 2, we postulated that individuals who are better able to decenter would have a slower pulse wave velocity and more elastic arteries. Our results from Study 1 suggest that an acute session of meditation can significantly decrease aortic pulsatile load. In Study 2, we concluded that a greater ability to decenter is correlated with slower pulse wave velocity. These new findings support many previous studies that suggest that mindfulness practices are a beneficial lifestyle modification that can positively impact cardiovascular health.
What Matters in a Characteristic?

We investigate how different components in firm characteristics affect expected returns and comovements in international stock markets. We decompose characteristics into country, industry, and adjusted components. Then, we use these components to capture time-series and cross-sectional variations in stock-level alphas and factor exposures. We show that decomposing characteristics is crucial to model jointly expected returns and comovements: (i) country (adjusted) components capture systematic risk exposures (alphas), (ii) component-based models outperform benchmark models, and (iii) alphas in international markets are significant, contrary to the U.S. market. However, trading on predicted alphas does not generate significant out-of-sample net performances, indicating that they are related to limits to arbitrage.
Zinc Oxide Nanocrystals Grown on Cellulose Acetate Butyrate Nanofiber Mats and Their Potential Photocatalytic Activity for Dye Degradation

Zinc oxide (ZnO) nanostructures are among the most interesting nanomaterials due to their remarkable performance in optics, electronics, semiconducting materials, and photocatalysis. Recent literature reports the synthesis and characterization of ZnO–polymer nanocomposites which are more flexible materials for various applications. This paper is concerned with the synthesis of cellulose acetate butyrate (CAB) nanofiber mats useful as substrates for growing ZnO nanocrystals. CAB nanofibers and CAB nanofibers containing zinc acetate as precursor for ZnO nanoparticles are prepared via electrospinning from adequate solvents: 2-methoxyethanol and 2-methoxyethanol–DMF–water mixture, respectively. Formation and growing of ZnO nanocrystals are performed using a chemical deposition technique that implies multiple alternative dipping in an ammonium zincate bath and hot water bath, respectively. The morphology of CAB nanofibers and CAB–ZnO nanocomposites is studied by scanning electron microscopy (SEM). The presence.
Interpretable Machine Learning for Real Estate Market Analysis

While Machine Learning (ML) excels at predictive tasks, its inferential capacity is limited due to its complex non-parametric structure. This paper aims to elucidate the analytical behavior of ML through Interpretable Machine Learning (IML) in a real estate context. Using a hedonic ML approach to predict unit-level residential rents for Frankfurt, Germany, we apply a set of model-agnostic interpretation methods to decompose the rental value drivers and plot their trajectories over time. Living area and building age are the strongest predictors of rent, followed by proximity to CBD and neighborhood amenities. Our approach is able to detect the critical distances to these centers beyond which rents tend to decline more rapidly. Conversely, close proximity to hospitality facilities as well as public transport is associated with rental discounts. Overall, our results suggest that IML methods provide insights into algorithmic decision-making by illustrating the relative importance of hedonic variables and their relationship with rental prices in a dynamic perspective.
COLLECTIVE AGREEMENT - A TOOL FOR STRENGTHENING PUBLIC POLICIES IN THE AREA OF SOCIAL RESPONSIBILITY

The article aims to identify and demonstrate the benefits of other tools besides those already in place, tools that ensure greater responsibility for companies, namely tools to ensure the transition of production flows towards a sustainable approach. The research method included entities representing the interest of the capital and labor determiners, in order to identify their organizational structure and concrete elements deriving from this relationship. The collection of data was based on the analysis of 52 collective agreements in force, which involved the identification of the synergy with the ISO 26000 principles. The data processing involved the organization and classification of the collective agreement clauses based on the ISO 26000 principles, following an individual analysis approach aimed to identify the synergy and compliance of the collective agreements with the ISO 26000 principles. The research highlighted a way of organizing at the level of the social partners fully adapted to the amplitude and characteristics of the environmental and social protection issues. Moreover, their work provides a concrete framework of commitments, expressed in a specific type of contract, namely the collective agreement. The latter integrates in a meaningful way the specific principles of ISO 26000, the situation that provides the collective bargaining institution as a solution to the need to make companies accountable, among others, for catalyzing the process of converting the transfer of the production flows towards the bioeconomic area. A collective agreement is a solution that does not involve the state intervention, it is immediate, and attracts binding commitments from companies to strengthen bioeconomy and social responsibility.
Genetic divergence and path analysis in wheat cultivars under heat stress

ABSTRACT One of the biggest limitations for the wheat crop expansion to Brazilian tropical regions is the high temperature in the rainy season. This study aimed to select, based on genetic divergence and path analysis, cultivars that tolerate cultivation in the summer (heat stress). Nine wheat cultivars were sown, using a randomized block design with three replications, with plots consisting of 10 rows of 6 m and row spacing of 0.15 m. The highest grain yield and number of ears m-2 were observed for the CD 150 cultivar and the largest 1,000-grain weight for CD 116. BRS 220, IPR 136, IPR 144 and BRS Pardela had the highest number of sterile spikelets. The highest number of grains per ear was observed for CD 150, CD 116, BRS Pardela, IPR 130 and IPR 85, showing direct effects on grain yield, evidenced by the path analysis. CD 116 and CD 150 were the most productive cultivars and can be considered as possible parents in wheat breeding programs. IPR 85, CD 116, CD 108 and CD 150 showed a greater tolerance to high temperatures.
How to Testify to the Emergence of an Idea in Conversation: Methodological Avenues for Exploring Children’s Interviews

In line with socioconstructivist works analysing the impact of social interactions on cognitive development, the present study discusses how to capture, describe, and analyse the emergent co-production of new ideas or creative cognitive solutions. After introducing the methodologies that are currently used in this field, we recall the relevance of pragmatic analyses of conversations. We then identify several possible methodologies for probing and finely analysing the emergence of children’s new thinking, by cross-referencing third-person (i.e., from the researcher’s point of view) and first-person (i.e., from the children’s point of view, following an explicitation interview) analyses.
Easier Said Than Done: The Effect of ARUG II on Clawback Provision Adoption and the Diversity of Clawback Trigger Events in German DAX30 & MDAX Companies

In this study, we examine the annual reports of the German DAX30 and MDAX com-panies to analyze the level of clawback provision adoption in management compensation con-tracts due to the finalization of ARUG II in Germany. In addition, we investigate the diversi-ty of the trigger events named in the provisions already implemented. We find that although the number of companies that adopted clawback provisions slightly increased from 2018 to 2019, it is still relatively low, compared to the developments in the US several years ago. We find that in 2019 39 % of the companies had clawback provisions implemented in their com-pensation system. By analyzing the trigger events named in these provisions we show, that most of the clawback provisions are meant to prevent compliance violations or misconduct. Very few provisions cover errors in reporting or negative contribution to success. Based on these findings we present and discuss previous literature, which helps to explain the slow change and discuss the different effects of clawback trigger events. We further suggest ave-nues for future research and provide implications based on our findings.
Ag@Cu2O Core-Shell Nanoparticles as Visible-Light Plasmonic Photocatalysts

Compared to pristine Cu2O nanoparticles (NPs), Ag@Cu2O core-shell NPs exhibit photocatalytic activity over an extended wavelength range because of the presence of localized surface plasmon resonance (LSPR) in the Ag core. The photocatalysis action spectra and transient absorption measurements show that the plasmonic energy is transferred from the metal to the semiconductor via plasmon-induced resonant energy transfer (PIRET) and direct electron transfer (DET) simultaneously, generating electron–hole pairs in the semiconductor. The LSPR band of Ag@Cu2O core-shell NPs shows a red-shift with an increase in the Cu2O shell thickness, extending the light absorption of Ag@Cu2O heterostructures to longer wavelengths. As a result, the photocatalytic activity of the Ag@Cu2O core-shell NPs is varied by modulation of the shell thickness on the nanometer scale. This work has demonstrated that the Ag@Cu2O core-shell heterostructure is an efficient visible-light plasmonic photocatalyst, which allows for tunable light ab.
Postmodernism in Russian pedagogical discourse

The article analyzes the state and level of theoretical elaboration of the issues of pedagogy of the postmodern era in the Russian scientific literature. Based on the analysis of the content of publications posted in the Russian leading bibliographic resource - bibliographic database of scientific publications “The Russian Science Citation Index» – the ratio of publications devoted to the problems of postmodernism in non-pedagogical and pedagogical discourse is revealed. There are established the main clusters, which include publications on general problems of postmodern pedagogy, problems of meta-postmodern pedagogy and anti-pedagogy. The interpretive approach allows us to prove that in Russian pedagogy, critical and analytical consideration of foreign pedagogical arrays dominates. At the same time, there are first attempts to determine the author's position on the creation of Russian postmodern pedagogy, which at present is not completely methodologically entrusted. The arguments used by the authors to substantiate postmodern pedagogy are very exotic and fully correspond to the principle “Anything goes”, which is a methodologically regulating postmodern pedagogy.
Discharge Characteristics of Capsule-Type Thermal Energy Storage Unit Using Carbon-Fiber/Paraffin Composite.

潜熱蓄熱材であるパラフィンの熱伝導度を向上させるために, 炭素繊維を添加した複合蓄熱材を作成した. その蓄熱材を用いたカプセル型蓄熱槽を用いて, 炭素繊維の添加が放熱特性に及ぼす影響を検討した. 炭素繊維は体積分率で0から2%まで変化させた. その結果, 炭素繊維の添加は蓄熱槽の放熱特性を改善するのに有効であることが実証された. また, 著者らの一人が提案した伝熱モデルによって実験結果をほぼ予測することができた.
Spectral Zones Determination for Pebble Bed Reactor Cores Using Diffusion Theory Spectral Indices

A practical methodology is developed for the determination of spectral zones in Pebble Bed Reactors (PBR). The methodology involves the use of spectral indices based on few-group diffusion theory whole core calculations. In this work a spectral zone is defined as made up of a number of nodes whose characteristics are collectively similar and that are assigned the same few-group diffusion constants. Therefore, spectral indices that reflect the physical behaviors of interest can be used to characterize said behaviors within each zone and thus to identify and distinguish the spectral zones. Several plausible spectral indices have been investigated in this work. Special emphasis and focus was placed on the trend or behavior of the spectral index at various positions along the radial and axial dimensions in the core. The ratio of group-wise surface currents to total surface fluxes, has been used to successfully identify spectral zone boundaries. A plot of the absolute value of this ratio versus position in the reactor exhibits a series of minima and maxima points. These extrema correlate with regions of significant spectral changes, and therefore are identified as plausible spectral zone boundaries. © 2008 ASME
Clinical Features Of Ocular Myasthenia Gravis In Adult Patients: Diplopia and Ophthalmoplegia

Background: The diagnosis of ocular myasthenia gravis (OMG) in adult patients remained challenged and the characteristics of diplopia and ophthalmoplegia in OMG is unclear. Methods: Retrospective case series study of medical records of 40 adult patients diagnosed with OMG at The First Affiliated Hospital of Jinan University from June, 2016 to December, 2019, was performed to analyze the clinical features, diagnostic tests and preferential affected extraocular muscles of OMG. Results: 40 adult patients with OMG were involved and men represented 20 (50%) of cases. Mean age (±SD) among men was 49 ± 21 years (range: 19-81 years) and 40 ± 15 years (range: 21-65 years) among women. 18 patients (45.0%) were 18 to 39 years old, 12 patients (30.0%) were 40 to 59 years old, 9 patients (22.5%) were 60 to 79 years old, 1 patients (2.5%) over 80 years old. The median course of the disease among all the patients was 6 months (ranged: 1 month to 10 years). Neostigmine test was positive in 32 of 40 patients (80.0%), acetycholine receptors antibodies assay was positive in 4 of 40 patients (10.0%), Thymus CT showed abnormal findings in 5 of 40 patients (12.5%). At the first visit, 27 patients (67.5%) showed diplopia only, 9 patients (22.5%) showed ptosis only, 4 patients (10.0%) showed diplopia with ptosis. The most paralytic EOM, determined through light reflection, cover-uncover test and red glass test for patients presented with diplopia only (n=27) and diplopia with ptosis (n=9), was lateral rectus (51.6%), superior rectus (19.4%), medial rectus (12.9%), inferior rectus (9.8%), superior oblique (3.2%), inferior oblique (3.2%) in order. Conclusions: OMG mainly affected adults at the working ages. Diplopia serves as initial symptom in most adult patients with OMG and lateral rectus is most susceptible.
Meningitis caused by Mycobacterium fortuitum mimicking tuberculous meningitis in an immunocompetent patient: a case report and literature review.

Background: Nontuberculous mycobacteria (NTM) are a large group of microorganisms that mainly affect persons who have immune deficiency. Mycobacterium fortuitum is one of them, which usually cause soft tissue or pulmonary disease. Meningitis caused by M. fortuitum is extremely rare and is often confused with tuberculous meningitis (TBM) due to its low prevalence. Case presentation: A 35-year-old woman was referred to our hospital with a history of headache, followed by fever, chills, cough, and vomiting. The results of mycobacterial culture and TSPOT. TB of her cerebrospinal fluid were positive. Therefore, she was diagnosed with tuberculous meningitis and was given anti-tuberculous chemotherapy. During the observation, the CSF results were not significantly improved. Finally, hsp65 gene PCR revealed that the real pathogen was M. fortuitum . The treatment therapy was changed and the patient recovered after one-year combined chemotherapy. Conclusions: In this case we described a patient with M. fortuitum meningitis who was immunocompetent with no trauma or surgical history. The wrong diagnosis with TBM was made due to positive results of both blood and CSF TSPOT. TB . The pathological evidence and microbiological analysis of hsp65 gene PCR suggested the real pathogen to be M. fortuitum . The diagnostic accuracy of blood and CSF TSPOT. TB in case of TBM is moderate. Infections of NTM cannot be excluded when the patient does not respond to anti-tuberculous therapy and it is of great significance to do molecular identification for clinical isolates of mycobacterium.
Study of the method of spatial identification of polygonal features in the integration of geospatial datasets

Integration of geospatial datasets is complex and time-consuming process. Integration is especially difficult if the geospatial datasets do not share common feature identification attributes. In this study, we explored the software implementation of the method of spatial identification polygonal features of geospatial datasets by detecting matching pairs of features from two different datasets using measures of their spatial overlap and the similarity of their morphometric characteristics (perimeter, area, width-to-length ratio, blockiness, number of vertices). The polygonal feature identification program is implemented in PL/pgSQL for a spatial database in PostgreSQL/PostGIS. The results of the experiment on the example of the 13832 polygonal building models for the town of Bila Tserkva using an OSM dataset and a digital topographic plan of 1:2000 scale showed the ability to perform spatial identification of about 85% of buildings with little or no user intervention.