Miracle-dz/UniFAR-FTUs huggingface dataset:
MHD-mixed convection flow in a lid-driven trapezoidal cavity under uniformly/non-uniformly heated bottom wall

Purpose The purpose of this paper is to analyze numerical results for heat transfer through mixed convection in an incompressible steady lid-driven fluid flow inside a trapezoidal cavity in the presence of a uniform magnetic field. Design/methodology/approach In this study, the authors have considered three different cases, in which left and right walls of the cavity are tilted at different angles of 0, 30 and 45 degrees, respectively. Both left and right side walls of the cavity are taken cold and the upper wall is insulated and assumed moving with constant speed, whereas the bottom wall is considered to be heated uniformly/non-uniformly. To eliminate pressure term, penalty method is applied to governing Navier–Stokes’ equations. The reduced equations are solved by Galerkin weighted residual technique of finite element method. Grid-independent results are obtained and shown in terms of plots for streamlines, isotherms, Nusselt number and average Nusselt number for a wide range of flow parameters, including Rayleigh numbers Ra, Prandtl number Pr and Hartman number Ha. Findings It has been observed that the effects of moving lid become negligible for Ra = 100,000, whereas increasing Rayleigh number results in stronger streamline circulation and convection dominant effects inside the enclosure. Local Nusselt number Nu along the bottom wall is observed to be maximum at edges and it reduces while moving toward the center from edges, and attains minimum value at the center of the bottom wall. Research limitations/implications The problem is modeled for laminar and incompressible flow, induced magnetic field has been considered negligibly small and local thermal equilibrium has been assumed. Originality/value In this investigation, the authors have presented new and original results for mixed convection flow inside a lid-driven trapezoidal cavity under the influence of a magnetic field. Hence, this study would be important for the researchers working in the area of heat transfer in cavity flows involving magnetic effects to become familiar with the flow behavior and properties.
Broadband spectra translation between mid-infrared band and telecom band in a nonlinear silicon-based symmetric hybrid plasmonic waveguide

A symmetric hybrid plasmonic waveguide is designed to realize high-efficient conversion between mid-infrared (MIR) and telecom wavelength bands. The proposed hybrid plasmonic waveguide consists of an insulator–metal–insulator structure buried into a silicon ridge on silica substrate. By using geometry optimization, the dispersion of waveguide is optimized, leading to broadband (resulting in a 3-dB bandwidth of 1,919[Formula: see text]nm from 1.496[Formula: see text][Formula: see text]m to 3.415[Formula: see text][Formula: see text]m) and efficient (resulting in a peak conversion efficiency of [Formula: see text]18.9[Formula: see text]dB) four-wave mixing (FWM) in a 200-[Formula: see text]m-long waveguide pumped by a 1.725-[Formula: see text]m source of 0.5 W. This waveguide configuration shows its great potential in all-optical switching between MIR band and telecom band.
Comments to “Quantification of network structural dissimilarities” published by Schieber et al

Recently, we came across the paper entitled “Quantification of network structural dissimilarities” published by Nature Communications. In this paper, Schieber et al claimed to propose a novel technique for measuring the structural similarity of networks. The authors of this commentary are familiar with this special area of network analysis. After reading the paper, we doubt that the graph similarity (distance) measure due to Schieber et al is entirely novel. Instead, parts thereof are very similar to contributions we have authored. Unfortunately, they have not been cited nor acknowledged in Schieber et al.
Tropical Graph Parameters

Connection matrices for graph parameters with values in a field have been introduced by M. Freedman, L. Lovasz and A. Schrijver (2007). Graph parameters with connection matrices of finite rank can be computed in polynomial time on graph classes of bounded tree-width. We introduce join matrices, a generalization of connection matrices, and allow graph parameters to take values in the tropical rings (max-plus algebras) over the real numbers. We show that rank-finiteness of join matrices implies that these graph parameters can be computed in polynomial time on graph classes of bounded clique-width. In the case of graph parameters with values in arbitrary commutative semirings, this remains true for graph classes of bounded linear clique-width. B. Godlin, T. Kotek and J.A. Makowsky (2008) showed that definability of a graph parameter in Monadic Second Order Logic implies rank finiteness. We also show that there are uncountably many integer valued graph parameters with connection matrices or join matrices of fixed finite rank. This shows that rank finiteness is a much weaker assumption than any definability assumption.
Ex Utero Intrapartum Treatment (EXIT) in a rare infantile tongue fibrosarcoma and it’s management dilemma

Abstract Ex utero intrapartum treatment (EXIT) has been described as a safe procedure to secure challenging fetal airways while on placental support. Here we present an extremely rare case of huge infantile tongue fibrosarcoma diagnosed prenatally and successfully delivered via EXIT. Initial diagnosis of infantile tongue haemangioma was made based on physical examination, radiological findings and high incidence of infantile haemangioma in the first year of life hence trial of oral propranolol was given. Tracheostomy was performed at 1 week of life in anticipation of airway compromise and failed extubation. A biopsy of the tongue tumour was performed to rule out soft tissue malignancy. Histopathological examination (HPE) revealed a malignant tumour suggestive of infantile fibrosarcoma. The management of infantile fibrosarcoma is a multidisciplinary team’s involvement. However, non-mutilating surgery should be the primary treatment for infantile fibrosarcoma aiming for complete excision. Neoadjuvant chemotherapy is indicated when upfront resection is unfeasible as in the present case.
Current Trends in Incubator Control for Premature Infants with Artificial Intelligence Based on Fuzzy Logic Control: Systematic Literature Review

Incubator Control for Premature Babies has benefited greatly from the development of creative methods and uses of artificial intelligence. Due to the immaturity of the epidermis, premature infants lose fluid and heat early in life, which causes hyperosmolar dehydration and hypothermia. Water loss through the epidermis. Therefore, in order to maintain the baby's healthy temperature, an incubator is required. As a result, it is anticipated that the baby will maintain the same temperature as in the mother's womb. A temperature regulation system with good measurement and regulation quality is necessary due to the necessity of Incubator Control for Premature Infants with Artificial Intelligence Based on Fuzzy Logic in treating premature infants. The purpose of this research is to assess current trends in artificial intelligence-based fuzzy logic incubator control for preterm infants. The Preferred Reporting Items for Systematic Review (PRISMA) were used in this study's systematic literature review. 188 suitable articles that fit the inclusion requirements were found after the articles were screened and chosen. The outcomes demonstrated that the Incubator Control for Premature Infants offered the best environment for newborns with growth or disease-related issues (premature babies). An incubator is a sealed space free of dust and bacteria with the ability to regulate temperature, humidity, and oxygen to maintain a stable environment.
A numerical study of ultrasonic response of random cortical bone plates

A probabilistic study on ultrasound wave reflection and transmission from cortical bone plates is proposed. The cortical bone is modeled by an anisotropic and heterogeneous elastic plate sandwiched between two fluids and has randomly varied elastic properties in the thickness direction. A parametric stochastic model is proposed to describe the elastic heterogeneity in the plate. Reflection and transmission coefficients are computed via the semi-analytical finite element (SAFE) method. The effect of material heterogeneity on reflected and transmitted waves is investigated from a probabilistic point of view. The parametric study highlights effects of the uncertainty of material properties on the reflection and transmission coefficients by varying the frequency, angle of incidence and bone thickness.
The Use of Double Moment Based Descriptors to Speed up FIC

In this research, an improved Partitioned Iterated Function System (PIFS) scheme is introduced to speed up the encoding stage time in Fractal Image Compression (FIC). The proposed system is based on using both symmetry prediction and blocks indexing to speed up the block matching process; these two methods have been used to manage the way of selecting the suitable domain to represent the range block. For block indexing the moment features have been used for determining double block descriptors, each one is affine invariant. The two block descriptors are utilized in a combined indexing scheme to classify the blocks of both range and domain pool. So, the block indexing method is introduced to filter the domain blocks, and keeps only those domain blocks have similar block indices with that of the mapped range block which will be approximately represented using affine mapping. The symmetry predictor is used to reduce the number of isometric trails from 8 to one trail . The research also includes the implementation of the use of single moment descriptor to speed up FIC for comparison. The test results indicated that the proposed improvement has reduced the required encoding time to 0.25 second, and the attain compression ratio is 7.99 without making significant degradation in image quality.
Level Of Effectiveness And Contribution Of Rural And Urban Land And Building Taxes To Regional Original Income

The Rural and Urban Land and Building Tax (PBB-P2) is one of the strategic taxes for local governments, including the Jember Regency Government. This is because PBB-P2 revenue contributes to Regional Original Income (PAD), so it is necessary to know the level of effectiveness on PAD, as the purpose of this study. This type of research is descriptive, which explains the conditions based on the results of the analysis, with the data source in the form of secondary data. In general, this study resulted in the findings that the effectiveness of PBB-P2 in the less effective category, and its contribution to PAD at the very low level or category. The recommendation from the results of this study is that the Jember Regency Government should always strive to increase the target and realization of PBB-P2 revenue in accordance with its potential, so that it can contribute maximally to PAD.
Investigation of the Wisdom of Older Adults to Live in Harmony With Nature

Environmental destruction is progressing rapidly around the world, including in Japan. What familiar social groups should we refer to when we aim for a symbiosis between nature and humans? We believe that one of the appropriate social groups is older adults. They have developed a wide range of wisdom for living through the utilization of nature’s benefits and countermeasures against nature’s threats. Examples are agriculture that does not harvest more than necessary and traditional wooden houses with good ventilation. These pearls of wisdom have contributed greatly to the development of Japan’s agriculture, forestry, and fisheries industries. In this study, a wide range of wisdom for living in harmony with nature (how to utilize nature’s benefits and countermeasures against nature’s threats) was investigated among older Japanese participants ( N = 218, mean age = 73.04 years). An online survey was conducted, and participants responded in an open-ended format. A qualitative analysis was conducted to examine in detail which responses were frequent. As a result, specific examples of utilizing nature’s benefits included the management of fields by pest-eating animals. Specific examples of countermeasures against nature’s threats included wrapping towels around water pipes to withstand the winter cold. Meanwhile, older participants had a very favorable view of passing on the wisdom of living in harmony with nature to generations younger than themselves. The data from the open-ended survey of many older adults is of high material value and will be useful for improving the policies for supporting older adults.
Advantage of Alginate Bioinks in Biofabrication for Various Tissue Engineering Applications

Bioprinting is fast emerging as a viable technique for organ fabrication. Though various types of bioprinting methods have been developed, the most commonly used bioprinting is extrusion-based bioprinting (EBB). Bioinks are extruded layer-by-layer forming a 3D multicellular construct and scaled up to dimensions depending upon the specific tissue to be regenerated. Among various bioinks, alginate, a natural polysaccharide, has been extensively used because of its good printability in physiologically amenable conditions. Though alginate possesses good printability properties, it promotes little cell–material interaction resulting in limited biofunctionality. Therefore, it becomes necessary to blend/modify alginate to improve the biological properties of bioink without compromising printability. This paper presents a review of the various approaches used to optimize bioprinting with alginate bioinks and their limitations.
Detection of Attacks Causing Network Service Denial

This article deals with ICT security and particularly the Denial of Service (DoS) executed on the application layer. The main objective of the article is to describe the original algorithm designed for timely detection of DoS application attacks and, subsequently, on the results of experimental verification of the designed process. This algorithm is focused on the detection of HTTP GET Flood attack, which will cause a crash of the attacked server. Appropriate detection of attack from the analysis of incoming traffic is able to prevent a crash of server from happening. To detect such an attack, an original algorithm designed by our team was used.
Graphical goodness-of-fit test for mortality models

ABSTRACT Candidate parametric mortality models are tested graphically. If the model is correct, the transformed data are distributed exponentially. The graphical test is based on scale and space inference. It involves smoothing of the hazard rate and simultaneous confidence intervals. It is applied to a frailty model used to set annuity reserves. Simulation and the comparison with other non-graphical tests shows that the graphical test helps localize discrepancies of empirical data with respect to the tested model.
Robust stabilization of measure differential systems with impulse, time delay and nonlinear uncertainty

This article considers robust stabilizing controller design for a class of measure-differential systems with impulse, time-varying delay, and nonlinear uncertainty. A nonlinear type of robust control is proposed based on Riccati-like approach. To analyse the exponential stability of closed loop, a result of differential inequality with impulse is introduced. A numerical example is given to illustrate the design process of the controller in the final section.
DISTRIBUTION THEORY FOR GLASS'S ESTIMATOR OF

Glass's estimator of effect size, the sample mean difference divided by the sample standard deviation, is studied in the context of an explicit statistical model. The exact distribution of Glass's estimator is obtained and the estimator is shown to have a small sample bias. The minimum variance unbiased estimator is obtained and shown to have uniformly smaller variance than Glass's (biased) estimator. Measurement error is shown to attenuate estimates of effect size and a correction is given. The effects of measurement invalidity are discussed. Expressions for weights that yield the most precise weighted estimate of effect size are also derived.
Exact Ergodic Capacity Analysis for Cognitive Underlay Amplify-and-Forward Relay Networks over Rayleigh Fading Channels

: In this paper, we propose a novel derivation approach to obtain the exact closed form expression of ergodic capacity for cognitive underlay amplify-and-forward (AF) relay networks over Rayleigh fading channels. Simulation results are performed to verify the analysis results. Numerical results are provided to compare the system performance of cognitive underlay amplify-and-forward relay networks under both cases of AF and decode-and-forward (DF) conﬁrming that the system with DF provides better performance as compared with that with AF.
Implementation of a Non-Invasive Bioprospecting Protocol for Isolation of Lactobacillus from Feces of Hens Under Foraging Conditions

In animal production, probiotics seek to replace the use of antibiotics, while diminishing mortality and morbidity rates to raise productivity. Probiotics constitute a natural alternative that, in contrast with antibiotics, neither produces pathogen resistance, nor leaves chemical residues in the final product. Several bacteria, including some belonging to the genus Lactobacillus have been described as probiotics with high potential. A non-invasive bioprospecting protocol aimed for the isolation and characterization of lactobacilli from chicken feces was established. Fecal samples were collected from the ground. These were diluted and cultured in LAB selective medium. Colonies were identified by three methods: Gram stain, MALDI-TOF MS and sequencing of 16S rRNA gene. An initial probiotic potential of lactobacilli isolates was determined via antagonism tests using five enteropathogen reference strains: Staphylococcus aureus, Enterococcus faecium, Candida albicans, Pseudomonas spp. and Salmonella spp. 24 isolates belonging to four Lactobacillus species were identified by MALDITOF MS. BLAST of 16S rRNA gene of eight randomly selected isolates, confirmed MALDI-TOF MS identification. Five of these eight isolates inhibited the growth of at least one of the pathogenic strains used, three isolates of Lactobacillus plantarum and two of Lactobacillus salivarius. Our protocol achieved 21 lactobacilli per 100 isolates performance, greatly surpassing the normal percentage of lactobacilli in chicken gut microbiome, that so, its implementation would facilitate the isolation and identification of new probiotic strains from feces.
Massive Geomodel Compression and Rapid Geomodel Generation Using Advanced Autoencoders and Autoregressive Neural Networks

The reduction of computational cost when using large geomodels requires low-dimensional representations (transformation or reparameterization) of large geomodels, which need to be computed using fast and robust dimensionality reduction methods. Additionally, to reduce the uncertainty associated with geomodel-based predictions, the probability distribution/density of the subsurface reservoir needs to be accurately estimated as an explicit, intractable quantity for purposes of rapidly generating all possible variability and heterogeneity of the subsurface reservoir. In this paper, we developed and deployed advanced autoencoder-based deep-neural-network architectures for extracting the extremely low-dimensional representations of field geomodels. To that end, the compression and reconstruction efficiencies of vector-quantized variational autoencoders (VQ-VAE) were tested, compared and benchmarked on the task of multi-attribute geomodel compression. Following that, a deep-learning generative model inspired by pixel recurrent network, referred as PixelSNAIL Autoregression, learns not only to estimate the probability density distribution of the low-dimensional representations of large geomodels, but also to make up new latent space samples from the learned prior distributions. To better preserve and reproduce fluvial channels of geomodels, perceptual loss is introduced into the VQ-VAE model as the loss function. The best performing VQ-VAE achieved an excellent reconstruction from the low-dimensional representations, which exhibited structural similarity index measure (SSIM) of 0.87 at a compression ratio of 155. A hierarchical VQ-VAE model achieved extremely high compression ratio of 667 with SSIM of 0.92, which was further extended to a compression ratio of 1250 with SSIM of 0.85. Finally, using the PixelSNAIL based autoregressive recurrent neural network, we were able to rapidly generate thousands of large-scale geomodel realizations to quantify geological uncertainties to help further decision making. Meanwhile, unconditional generation demonstrated very high data augmentation capability to produce new coherent and realistic geomodels with given training dataset.
From single SQUID to superconducting quantum arrays

Superconducting quantum arrays (SQAs) capable of providing highly linear voltage response to magnetic signal and high dynamic range have been suggested and developed. Base elements of the arrays, quantum cells, were devised and studied in detail. Using niobium process, SQAs with different number of the cells and prototypes of the SQA-based broadband active electrically small antennas were fabricated and tested.
A Numerical Study of Different Types of Collimators for a High-Resolution Preclinical CdTe Pixelated Semiconductor SPECT System

In single-photon-emission computed tomography (SPECT) with a pixelated semiconductor detector (PSD), not only pinhole collimators but also parallel-hole collimators are often used in preclinical nuclear-medicine imaging systems. The purpose of this study was to evaluate and compare pinhole and parallel-hole collimators in a PSD. For that purpose, we paired a PID 350 (Ajat Oy Ltd., Finland) CdTe PSD with each of the four collimators most frequently used in preclinical nuclear medicine: (1) a pinhole collimator, and (2) low-energy high-resolution (LEHR), (3) low-energy general-purpose (LEGP), and (4) low-energy high-sensitivity (LEHS) parallel-hole collimators. The sensitivity and spatial resolution of each collimator was evaluated using a point source and a hot-rod phantom. The highest sensitivity was achieved using LEHS, followed by LEGP, LEHR, and pinhole. Also, at a source-to-collimator distance of 2 cm, the spatial resolution was 1.63, 2.05, 2.79, and 3.45 mm using pinhole, LEHR, LEGP, and LEHS, respectively. The reconstructed hot-rod phantom images showed that the pinhole collimator and the LEHR parallel-hole collimator give a fine spatial resolution for preclinical SPECT with PSD. In conclusion, we successfully compared different types of collimators for a preclinical pixelated semiconductor SPECT system.
Modelagem matemática dos efeitos biológicos da radiação ionizante em células cancerosas in vitro

Cancer e o nome dado a um conjunto de mais de 100 doencas que configuram-se como a segunda causa de morbimortalidade mundial, com aproximadamente 8,8 milhoes de mortes estimadas em 2015 [5]. Uma das formas de tratamento do cancer e a radioterapia, a qual consiste na aplicacao de uma radiacao ionizante, geralmente colimada na regiao tumoral a ser tratada [4]. Em radioterapia e para a pesquisa cientifica, e crucial poder descrever e entender quantitativamente o efeito de morte celular provocado pela radiacao ionizante, seja para tecidos sadios ou tumorais. A esse respeito, o modelo linear quadratico (LQ) [3] e a descricao matematica mais utilizada para se descrever dinamicas de populacoes celulares sob radiacao ionizante, tanto do ponto de vista fundamental (curvas de sobrevivencia celular) como na pratica clinica da radioterapia (para se definir o valor de dose). [. ]