Miracle-dz/UniFAR-FTUs huggingface dataset:
A new methodology to train fracture network simulation using multiple-point statistics

Abstract. Natural fracture network characteristics can be establishes from high-resolution outcrop images acquired from drone and photogrammetry. Such images might also be good analogues of subsurface naturally fractured reservoirs and can be used to make predictions of the fracture geometry and efficiency at depth. However, even when supplementing fractured reservoir models with outcrop data, gaps will remain in the model and fracture network extrapolation methods are required. In this paper we used fracture networks interpreted from two outcrops from the Apodi area, Brazil, to present a revised and innovative method of fracture network geometry prediction using the multiple-point statistics (MPS) method. The MPS method presented in this article uses a series of small synthetic training images (TIs) representing the geological variability of fracture parameters observed locally in the field. The TIs contain the statistical characteristics of the network (i.e. orientation, spacing, length/height and topology) and allow for the representation of a complex arrangement of fracture networks. These images are flexible, as they can be simply sketched by the user. We proposed to simultaneously use a set of training images in specific elementary zones of the Apodi outcrops in order to best replicate the non-stationarity of the reference network. A sensitivity analysis was conducted to emphasise the influence of the conditioning data, the simulation parameters and the training images used. Fracture density computations were performed on selected realisations and compared to the reference outcrop fracture interpretation to qualitatively evaluate the accuracy of our simulations. The method proposed here is adaptable in terms of training images and probability maps to ensure that the geological complexity in the simulation process is accounted for. It can be used on any type of rock containing natural fractures in any kind of tectonic context. This workflow can also be applied to the subsurface to predict the fracture arrangement and fluid flow efficiency in water, geothermal or hydrocarbon fractured reservoirs.
Textual Contexts for “Democracy”: Using Topic-and Word-Models for Exploring Swedish Government Ofﬁcial Reports

We here demonstrate how two types of NLP models – a topic model and a word2vec model – can be combined for exploring the content of a collection of Swedish Government Reports. We investigate if there are topics that frequently occur in paragraphs mentioning the word “democracy”. Using the word2vec model, 530 clusters of semantically similar words were created, which were then applied in the pre-processing step when creating a topic model. This model detected 15 reoc-curring topics among the paragraphs containing “democracy”. Among these topics, 13 had closely associated paragraphs with a coherent content relating to some aspect of democracy.
Design of S/X-Band Dual-Loop Shared-Aperture 2 × 2 Array Antenna

This article proposes the S/X band dual-loop shared-aperture 2 × 2 array antenna, which is constructed using a unit-cell having one S-band element stacked on 3 × 3 X-band elements. The unit-cell employs a coupled-fed dual-loop structure with a direct-feed pin on the upper loop to obtain the broadband matching characteristics and low manufacturing error. This radar configuration has the advantages of easy installation and low cost. In addition, the thin loop structure of the upper layer S-band element is optimized so that the S-band element has electromagnetic (EM) transparent characteristics in the X-band. The extended via cavity wall is also applied outside the nine X-band elements to block the mutual coupling effect among the X-band elements. To confirm the feasibility of the proposed array antenna, the beamforming performance and active reflection coefficient (ARC) characteristics of the fabricated array are examined in the S/X band.
Natural Frequencies of Diatom Shells: Alteration of Eigenfrequencies Using Structural Patterns Inspired by Diatoms

Diatoms have delicate and complex shells showing different lightweight design principles that have already been applied to technical products improving the mechanical properties. In addition, diatom inspired structures are expected to significantly affect the vibration characteristics, i.e., the eigenfrequencies. Directed eigenfrequency shifts are of great interest for many technical applications to prevent undesired high vibration amplitudes. Therefore, numerous complex diatom inspired dome structures primarily based on combs, ribs, and bulging patterns were constructed and their eigenfrequencies were numerically studied. Different structural patterns were identified to significantly affect eigenfrequencies. The results were compared to dome structures equipped with rib patterns in combination with a common structural optimization tool. The study indicates that a combination of (1) selecting diatom inspired structural patterns that strongly affect eigenfrequencies, and (2) adapting them to the boundary conditions of the technical problem is an efficient method to design diatom inspired lightweight solutions with high eigenfrequencies.
THE CAMPAIGN ON ATMOSPHERIC AEROSOL RESEARCH NETWORK OF CHINA

A erosols represent an important component of Earth's atmosphere and are composed of solid and liquid particles of varying chemical complexity, size, and phase. The main components of anthropogenic aerosols are sulfate, nitrate, ammonium salt, black carbon (EC), and organic carbon (OC) (Prather et al. 2008). Aerosols play an important role in global and regional climate change through direct and indirect effects. The direct effects influence the radiation and energy budget of Earth, mainly by absorbing and scattering solar and terrestrial radiation (Dubovik et al. 2002; Menon 2004). The indirect effects, however, are more complicated. Aerosols can act as cloud condensation nuclei (CCN), thereby participating in the process of cloud formation, evolution, and dissipation, which changes the microphysical structure of clouds, their lifespan and optical properties. Furthermore, they can influence cloud droplet size and precipitation, thus having a significant influence on climate (Jones et al. 1994; Buseck 2010; Gantt et al. 2012). In addition, the impacts of nonnatural levels of aerosols on the atmospheric environment and human health are generally quite negative. The effects of atmospheric aerosols on climate and the environment depend on their physical properties, chemical composition, and optical characteristics (Charlson et al. 1992; Cwiertny et al. 2008; Buseck 2010). China is one of the world’s major sources of aerosols, with large spatiotemporal differences across the country (Xin et al. 2007; Lee et al. 2007; Y. Wang et al. 2011), and one can begin to understand the aforementioned level of uncertainty in terms of the climatic effects of aerosols. During the past 30 years, dramatic development has taken place in China, which in turn may aggravate further the degree of uncertainty in the impact of aerosols on the radiation budget of the region (Penner et al. 1992; Streets and Aunan 2005; Galloway et al. 2008). China has become a hot-topic area for studying the uncertainty CARE-China is the first comprehensive attempt to assess the physical, chemical, and optical
Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization

We present a new method for using texture and color to visualize multivariate data elements arranged on an underlying height field. We combine simple texture patterns with perceptually uniform colors to increase the number of attribute values we can display simultaneously. Our technique builds multicolored perceptual texture elements (or pexels) to represent each data element. Attribute values encoded in an element are used to vary the appearance of its pexel. Texture and color patterns that form when the pexels are displayed can be used to rapidly and accurately explore the dataset. Our pexels are built by varying three separate texture dimensions: height, density, and regularity. Results from computer graphics, computer vision, and human visual psychophysics have identified these dimensions as important for the formation of perceptual texture patterns. The pexels are colored using a selection technique that controls color distance, linear separation, and color category. Proper use of these criteria guarantees colors that are equally distinguishable from one another. We describe a set of controlled experiments that demonstrate the effectiveness of our texture dimensions and color selection criteria. We then discuss new work that studies how texture and color can be used simultaneously in a single display.
Integrated data models on Receptor-Like Kinases for novel domain discovery and functional inference in the plant kingdom

Receptor-like kinases (RLKs) are the largest signal transduction component in plants, determining how different plants adapt to their ecological environment, resulting in plant-specific ecological niches. Current research on RLKs has focused mainly on a small number of typical RLK members of a few model plants. There is an urgent need to study the composition, distribution, and evolution of RLKs at the holistic level to accelerate the understanding of how RLK assists in the ecological adaptation of different plants. In this study, we have collected 528 plant genomes and established an RLK data model, resulting in the discovery and characterization of 524,948 RLK members. Each member is subject to systematic topology classification and coherent gene ID assignment. Using this data model, we discovered two novel families (Xiao and Xiang) of RLKs. Evolutionary analysis of the RLK families indicates that RLCK-XVII and RLCK-XII-2 exist exclusively in dicots, suggesting that the diversification in RLKs between monocots and dicots could cause differences in downstream cytoplasmic responses. We also use interaction proteome to help empower the data mining of inferring new functions of RLK from a global perspective, with the ultimate goal of understanding how RLKs shape the adaptation of different plants to the environment/ecology. The RLK data model compiled herein, together with the annotations and analytic tools, form an integrated data foundation involving multi-omics data and is publicly accessible via the web portal (http://metaRLK.biocloud.top).
Validation of a scale for measuring the adaptation of Peruvian university teachers to virtual academic settings

: University teachers have had to adapt to the changes required by virtual education. The aim of this study is to adapt and validate the scale of adaptation to virtual academic media in Peruvian university teachers. The participants were 252 university teachers selected using purposive non-probability sampling. The instrument being adapted was the student adaptation to college questionnaire of Rodriguez-Ayan and Sotelo (2014), which consists of eleven items distributed across three dimensions. The content validity was studied by means of the judgement of twelve experts. We carried out exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) and estimated the reliability using Cronbach’s alpha. Before calculating the Kaiser-Meyer-Olkin coefficient (0.916) and performing Bartlett’s test of sphericity ( χ 2 = 2571.3, p <0.001), we performed EFA. As a result, we found an underlying three-factor model, which was corroborated by CFA with satisfactory goodness of fit indexes ( χ 2 = 107.55, df = 37, χ 2 / df = 2.907; p = 0.000; RMR = 0.034; GFI = 0.943; AGFI = 0.899; CFI = 0.972; TLI = 0.959; NFI = 0.959; IFI = 0.973, and RMSEA = 0.077), and acceptable reliability (alpha = 0.897). The scale of adaptation to virtual academic settings shows evidence of validity and reliability and can be applied to Peruvian university teachers.
Species roles in plant–pollinator communities are conserved across native and alien ranges. Diversity and Distributions , 22 (8), 841-852.

Aim. Alien species alter interaction networks by disrupting existing interactions, for example 22 between plants and pollinators, and by engaging in new interactions. Predicting the effects 23 of an incoming invader can be difficult, although recent work suggests species roles in 24 interaction networks may be conserved across locations. We test whether species roles in 25 plant-pollinator networks differ between their native and alien ranges, and whether the 26 former can be used to predict the latter. Methods . We used 64 plant-pollinator networks to search for species occurring in at least 29 one network in its native range and one network in its alien range. We found 17 species 30 meeting these criteria, distributed in 48 plant-pollinator networks. We characterized each species’ role by estimating species-level network indices: normalised degree, closeness 32 centrality, betweenness centrality, and two measures of contribution to modularity ( c and z 33 scores). Linear Mixed Models and Linear Regression Models were used to test for differences in species role between native and alien ranges and to predict those roles from native to 35 the alien range, respectively. conclusions. species in the alien range, whilst species with few interactions in their native range will behave 43 similarly in their alien range. Our results provide new insights into species role conservatism, and could help ecologists to predict alien species impact at the community level.
DOJO: Applied Cybersecurity Education in the Browser

This paper introduces DOJO , a state-of-the-art, open-source learning platform for hands-on cybersecurity education that aims to minimize barriers for both students and instructors. DOJO draws insight and inspiration from the Capture The Flag (CTF) community, which has pioneered the use of hands-on challenges to teach cybersecurity concepts. DOJO improves upon the accessibility and usability of existing platforms by making available a pre-configured, full-featured learning environment immediately accessible from any device in the browser. Students are able to write code, interact with a shell, explore complex network configurations, debug processes and kernel modules, and more, all from the browser. Instructors can easily deploy DOJO to their own servers with a single docker run command, or use our already-deployed instance to host their own challenges or already existing challenges with a single git push command. DOJO has been successfully used in multiple university courses and workshops, and is available for free to the world, with more than 10,000 students from around the world having already benefited from using DOJO . In this paper, we discuss the infrastructure, design, implementation, and effectiveness of DOJO , and compare it to related work.
Dynamic capabilities for leading industries: proof of export commitment of chocolate products

Harya, G. I. , Hanani, N. , Asmara, R. & Muhaimin, dan A. W. (2023). Dynamic capabilities for leading industries: proof of export commitment of chocolate products. Bulg. J. Acric. Sci.,29 (4), 579–589 The objective of this research is to create a model of industrial competitive advantage. Sample of respondents in 40 choco-late industries in East Java, Indonesia, using purposive sampling. The Structural Equation Model (SEM) is used in conjunction with the Partial Least Square (PLS) analysis to evaluate the hypothesis that the competitive advantage factor serves as an intervening variable between dynamic capacity factors and corporate performance variables. The dynamic capability variable has a considerable positive influence on the performance variable of the company, which is mediated via the competitive advantage variable. There is still a paucity of studies demonstrating the relationship between dynamic skills and competitive advantage and none that uses competitive advantage factors to mediate the connection between dynamic capabilities and industry performance. Dynamic capabilities may be obtained by boosting technical innovation, product innovation, employee skills, industrial capital and product development, quality, service, new business transformation and industrial export strength to assure outstanding industry performance. This approach can be implemented by nations with comparable resources and support for similar socio-political practices. This article is innovative in that it combines the nine-factor model with the diamond porter model, which is the most recent notion of academics for developing a competitive advantage model for the East Java chocolate sector in Indonesia.
MULTIDISCIPLINARY TECHNOVATION Exploration of Solvent Effects, Structural and Spectroscopic Properties, Chemical Shifts, Bonding Nature, Reactive Sites and Molecular Docking Studies on 3-Chloro-2,6-Difluoropyridin-4-Amine as a Potent Antimicrobial Agent

: This study delved into the electronic structure of Pyridine derivative 3-Chloro-2,6-difluoropyridin-4-amine (3C26D4A) using quantum-chemical computational calculations and employing the DFT/B3LYP/6-311++G(d,p) method and basis set. Spectroscopic, electronic, Mulliken population analysis and molecular electrostatic potential surface (MESP) calculations were carried out to gain deeper insights, shedding light on their bonding characteristics and reactive sites. The simulated electronic and frontier molecular orbitals (FMO) energy gaps of 3C26D4A in both polar (aniline, DMSO and methanol) and nonpolar (CCl 4 , chloroform, cyclohexane and toluene) confirm the stability and chemical reactivity. The highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energy gap of 3C26D4A in the gas phase is found to be 6.0214 eV and shows low reactivity and stability as compared to the solvent phase. In parallel, in silico molecular docking investigated their promise as antimicrobial agents by targeting key enzyme DNA gyrase. The obtained binding energy revealed a significant inhibitory potential docking score of -4.07 kcal/mol.
Advances and Applications

Purpose: Apixaban is often coadministered with treatments for cardiovascular comorbidities, which may lead to unintended drug−drug interactions (DDIs). The effects of apixaban on pharmacokinetics (PK) of multidose Lanoxin ® (digoxin) and single-dose Tenormin ® (atenolol) and the effects of single-dose atenolol on apixaban PK in healthy subjects were investigated in two Phase 1 studies. Patients and methods: The digoxin DDI study was an open-label, multidose, two-treatment, single-sequence study in which subjects received digoxin 0.25 mg q6h on day 1, then once daily on days 2–10, followed by apixaban 20 mg and digoxin 0.25 mg once daily on days 11–20. The atenolol DDI study was an open-label, single-dose, randomized, three-period, three-treatment, crossover study in which subjects received a single oral dose of apixaban 10 mg, atenolol 100 mg, or apixaban 10 mg plus atenolol 100 mg. The 90% confidence intervals (CIs) for the ratios of geometric means of peak plasma concentration (C max ) and area under the concentration–time curve (AUC tau ), with and without apixaban were calculated. Absence of effect was concluded if the point estimates and 90% CI were within the equivalence interval of 80%–125% (digoxin) or 70%–143% (atenolol). A similar analysis was performed to assess the effect of atenolol on apixaban. Results: Apixaban had no clinically relevant effect on the PK of either atenolol or digoxin: point estimates and 90% CI for both digoxin and atenolol C max and AUC were entirely within their respective no-effect intervals. Apixaban C max and AUC inf were slightly decreased (ie, 18% and 15% lower, respectively) following atenolol coadministration. No serious or major bleeding-related adverse events were reported during either study. Conclusion: Apixaban had no effect on the PK of digoxin and there was no clinically relevant interaction between apixaban and atenolol. Coadministration of digoxin or atenolol with apixaban in healthy subjects was generally well tolerated.
Framework for the Standardized Description of Handwritten Annotations

In this paper we introduce a novel way for the standardized description of handwritten annotations on an electronic document. This approach allows it on the one hand to describe the annotation itself which means the geometric representation. On the other hand information about the handwritten annotation like author, type, or the text it refers to can also be stored together with the annotation. Furthermore, since our approach is based on Scalable Vector Graphics (SVG) which is based on XML, it nicely ? fits into the structure of a Document Object Model (DOM). This allows it to store the annotation together with the annotated document as well as separate.
Scylla serrata Forskal as natural source of glucosamine hydrochloride

Glucosamine (GlcN) has great application in the food, cosmetic, pharmaceutical, and biomaterial areas; it is typically produced by hydrolysis in the exoskeletons of marine animals, one of the types of mud crab (Scylla serrata Forskal). Mud crab shells contain chitin and chitosan compounds which can be further derivatives for the production of GlcN HCl. The purpose of this study is to isolate and determine the level of GlcN HCl by hydrolysis of chitin and chitosan from mud crab shell. GlcN HCl was characterized by Fourier Transform Infra-Red (FT-IR) spectrophotometry, and its quantity was analyzed by UV-Vis spectrophotometry. Both methods used GlcN HCl as a standard for comparison and calculation of match factor (MF). The results of this study showed that the samples contain GlcN HCl either chitin or chitosan. FT-IR spectrum of chitin sample appears at wave number 1033 cm-1, 1532 cm-1, 3415 cm-1 whereas for chitosan at 1033 cm-1, 1532 cm-1, 3356 cm-1. Both sample spectrums showed vibration corresponding to ether (-O-), ethyl (CH2) and amine group (NH). The MF value of sample chitin and chitosan is 933 and 974, respectively; it shows that the resulting spectra are identical with the standard. The GlcN HCl level of sample chitin and chitosan was 553 and 993 mg/g, respectively. It can be concluded that the waste of mud crab shell has high potential as a natural source of GlcN HCl.
HSOA Journal of Allergy Disorders and Therapy

Bronchial hyperreactivity (BHR), also defined as airway hyperre - activity (AHR), is still nowadays one of the noteworthy pathophysiological elements defining asthma. It is described as an excessive airway narrowing in response to different stimuli leading to increased air flow resistance and significantly decreased forced expiratory vol - ume in 1 second (FEV1. BHR may be provoked by environmental stimuli, both chemical and physical (e.g., inhaled allergens, drugs, etc.), or physiological stimuli such as hyperventilation or physical exercise. The phenomenon of BHR involves a series of airway struc - tural and functional changes, which can contribute to the onset of several pathological conditions, not necessarily limited to the respiratory system.