Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of a Near-Wall-Modeled Large Eddy Lattice Boltzmann Method for the Analysis of Complex Flows Relevant to IC Engines

In this paper, we compare the capabilities of two open source near-wall-modeled large eddy simulation (NWM-LES) approaches regarding prediction accuracy, computational costs and ease of use to predict complex turbulent flows relevant to internal combustion (IC) engines. The applied open source tools are the commonly used OpenFOAM, based on the finite volume method (FVM), and OpenLB, an implementation of the lattice Boltzmann method (LBM). The near-wall region is modeled by the Musker equation coupled to a van Driest damped Smagorinsky-Lilly sub-grid scale model to decrease the required mesh resolution. The results of both frameworks are compared to a stationary engine flow bench experiment by means of particle image velocimetry (PIV). The validation covers a detailed error analysis using time-averaged and root mean square (RMS) velocity fields. Grid studies are performed to examine the performance of the two solvers. In addition, the differences in the processes of grid generation are highlighted. The performance results show that the OpenLB approach is on average 32 times faster than the OpenFOAM implementation for the tested configurations. This indicates the potential of LBM for the simulation of IC engine-relevant complex turbulent flows using NWM-LES with computationally economic costs.
Deep Learning Assisted Efficient AdaBoost Algorithm for Breast Cancer Detection and Early Diagnosis

Breast cancer is one of the most dangerous diseases and the second largest cause of female cancer death. Breast cancer starts when malignant, cancerous lumps start to grow from the breast cells. Self-tests and Periodic clinical checks help to early diagnosis and thereby improve the survival chances significantly. The breast cancer classification is a medical method that provides researchers and scientists with a great challenge. Neural networks have recently become a popular tool in cancer data classification. In this paper, Deep Learning assisted Efficient Adaboost Algorithm (DLA-EABA) for breast cancer detection has been mathematically proposed with advanced computational techniques. In addition to traditional computer vision approaches, tumor classification methods using transfers are being actively developed through the use of deep convolutional neural networks (CNNs). This study starts with examining the CNN-based transfer learning to characterize breast masses for different diagnostic, predictive tasks or prognostic or in several imaging modalities, such as Magnetic Resonance Imaging (MRI), Ultrasound (US), digital breast tomosynthesis and mammography. The deep learning framework contains several convolutional layers, LSTM, Max-pooling layers. The classification and error estimation that has been included in a fully connected layer and a softmax layer. This paper focuses on combining these machine learning approaches with the methods of selecting features and extracting them through evaluating their output using classification and segmentation techniques to find the most appropriate approach. The experimental results show that the high accuracy level of 97.2%, Sensitivity 98.3%, and Specificity 96.5% has been compared to other existing systems.
Consequences of facilitation: one plant's benefit is another plant's cost

Summary Facilitation is known as the positive effect of one species (benefactor) on associated neighbouring species (beneficiaries). Although the beneficial part of this interaction has received considerable research interest, there is a gap of knowledge on the bidirectional nature of these interactions; in particular, the physiological and fitness consequences for both beneficiaries and benefactors. Alpine cushion plants are generally strong benefactors, increasing species richness and abundance on a global scale, and provide a suitable system to study the physiological effects of bidirectional interactions and its consequences for reproduction. Current knowledge suggests that species improve their fitness when associated to a benefactor cushion species, whereas cushions may receive predominantly negative feedbacks. We measured physiological and reproductive traits of the cushion species Arenaria tetraquetra ssp. amabilis and three other forbs (Eryngium glaciale, Lotus corniculatus ssp. glacialis and Plantago nivalis) in the dry Sierra Nevada Mountains, southern Spain. All four species were studied either when growing alone or when the three forbs were associated with the cushion plant. The three forb species improved their water status when associated with the cushion, and Lotus and Plantago significantly increased their seed set. In contrast, Arenaria showed poorer water status and reduced flower density and seed set with increasing cover of beneficiary species. There was a clear relationship between physiological and reproductive traits in Arenaria growing without beneficiaries but not in Arenaria with beneficiaries. Control cushions (without beneficiary species) showed increased seed set and seed mass with increasing photosynthetic and water use efficiencies, respectively, the latter being positively related to leaf nitrogen content. In contrast, cushions with a large cover of beneficiary species did not show such relations. The missing relationship between physiological and reproductive traits for these facilitating cushions indicates that reproductive output in heavily colonized cushions may not be directly related to the plant physiological status and the availability of resources. Our results revealed the antagonistic behaviour underlying the interaction between beneficiary species and facilitating cushion plants, similar to parasitic interactions. They also provide indications for changes in cushions' resource allocation pattern in response to colonization by beneficiaries.
PFR constrained energy storage and interruptible load scheduling under high RE penetration

: Large-scale renewable energy (RE) integration in the power systems is displacing conventional sources of generation, thus reducing the system's inherent inertia and primary frequency response (PFR) capabilities. This reduced response may decline the system's ability to stabilise frequency after inevitable events such as loss of generation or load and thus requires additional PFR. To meet the PFR requirements, fast-acting resources like energy storage systems (ESS) and demand response (DR) (transferrable and interruptible loads) need to be integrated within the system. In this regard, a novel stochastic security-constrained unit commitment framework is proposed to assess the potential of ESS and DR to ensure additional PFR requirements and handle post contingency frequency dynamics. Moreover, the proposed methodology analyses the impact of uncertain RE integration on system frequency dynamics using Bayesian inference statistics. Case studies are carried out on 39 bus New England and 118 bus IEEE test systems, incorporating post fault frequency security parameters. Simulation results analyse the PFR contribution of ESS and DR and indicate a substantial reduction in system operating cost and RE curtailment with their integration. The proposed analysis would help system operators to maintain required PFR under high RE penetration, and handle unavoidable contingencies.
Process Variable Importance Analysis by Use of Random Forests in a Shapley Regression Framework

Linear regression is often used as a diagnostic tool to understand the relative contributions of operational variables to some key performance indicator or response variable. However, owing to the nature of plant operations, predictor variables tend to be correlated, often highly so, and this can lead to significant complications in assessing the importance of these variables. Shapley regression is seen as the only axiomatic approach to deal with this problem but has almost exclusively been used with linear models to date. In this paper, the approach is extended to random forests, and the results are compared with some of the empirical variable importance measures widely used with these models, i.e., permutation and Gini variable importance measures. Four case studies are considered, of which two are based on simulated data and two on real world data from the mineral process industries. These case studies suggest that the random forest Shapley variable importance measure may be a more reliable indicator of the influence of predictor variables than the other measures that were considered. Moreover, the results obtained with the Gini variable importance measure was as reliable or better than that obtained with the permutation measure of the random forest.
Escherichia coli produtora de toxina shiga (STEC): principais fatores de virulência e dados epidemiológicos

Escherichia coli produtora de toxina Shiga (STEC) e um importante patogeno veiculado por alimentos, principalmente produtos derivados de carne bovina e esta associado a quadros de diarreias leves a severas e sanguinolentas. Em alguns individuos, a infeccao por STEC pode progredir para a sindrome hemolitico-uremica (HUS), sequela caracterizada pela falencia renal e a purpura trombocitopenica trombotica (TTP), com possivel envolvimento do sistema nervoso central. O gado bovino, geralmente saudavel, e o principal reservatorio de STEC, embora estas cepas tambem tenham sido isoladas de outros animais domesticos: ovelhas, cabras, caes, gatos e suinos. A principal caracteristica de virulencia, a producao de toxinas Shiga, nao e suficiente para causar doencas e outros fatores sao considerados relevantes, como a producao de enterohemolisina e de adesinas fimbriais e afimbriais. Embora as doencas humanas associadas a STEC sejam pouco descritas no Brasil, podemos observar uma significativa ocorrencia destas cepas nos rebanhos bovinos, bem como a correlacao entre sorotipos encontrados nestes animais e em pacientes humanos.
Nicardipine and Itraconazole Inhibited Transcellular Transport of Digoxin

The inhibitory effects of nicardipine, nifedipine and itraconazole on P-glycoprotein-mediated transport of [3H]digoxin were examined using LLC-PK1 and LLC-GA5-COL150 cells, a porcine kidney epithelial LLC-PK1 cell line transformed with MDRI cDNA from man which results in overexpression of P-glycoprotein on the apical membrane. Basal-to-apical transport of [3H]digoxin in LLC-GA5-COL150 cells was higher than in LLC-PK1 cells; apical-to-basal transport was markedly lower in LLC-PK1 cells and even lower in LLC-GA5-COL150 cells. This is consistent with the possibility that [3H]digoxin is transported by P-glycoprotein. Co-administration of nicardipine or itraconazole markedly inhibited the basal-to-apical transport of [3H]digoxin in LLC-GA5-COL150 cells, and apical-to-basal transport also increased. The effect of nifedipine was less marked than that of nicardipine or itraconazole. Intracellular accumulation of [3H]digoxin after apical application in LLC-GA5-COL150 cells was 2.3 times less than in LLC-PK1 cells, and was increased by the addition of nicardipine or itraconazole, consistent with their inhibitory effects on transcellular transport. Following basal application of [3H]digoxin, its intracellular accumulation in LLC-GA5-COL150 cells was, unexpectedly, comparable with that in LLC-PK1 cells, and was hardly affected by the addition of nicardipine or itraconazole. In conclusion, it has been shown that nicardipine and itraconazole inhibited transport of digoxin, which is presumably mediated by P-glycoprotein. This explains their effects observed in clinical use.
SONG STRUCTURE AND SINGING BEHAVIOUR OF WILLOW WARBLER PHYLLOSCOPUS TROCHILUS ACREDULA IN POPULATIONS OF LOW AND HIGH DENSITY

ABSTRACT Song structure and singing behaviour in two nesting populations of Willow Warbler Phylloscopus trochilus acredula of different density were studied in Moscow and Kostroma Regions, Russia, from 1994–1997. In total 520 songs of 9 males from the low-density population and 566 songs of 12 males from the high density population were analysed. Singing periods in the high density Willow Warbler population (11 males, 758 min.) were longer (58% of the time) than in the low density population (13 males, 866 min.) (58%). In the high density population, 51% of singing time consisted of “singing duels” (singing in gaps between the songs of a neighbouring male, and singing during the singing of a neighbouring male), while in the low density population only 7% did. The initial phrases of Willow Warbler songs were significantly longer in the high density population, with up to 9–13 elements, while there were no occurrences of this length in the low density population. Songs as a whole were longer and more variable in the high density population. Thus changes in structure, singing activity and behaviour are linked to male-male interaction and density of the nesting community.
Performance Analysis of Hospitals in Kerala Using Data Envelopment Analysis Model

Abstract Performance analysis in any industry plays a vital role in understanding the current scenario and thereby improving the overall efficiency. Using a sample of 20 hospitals randomly selected in Kerala, performance measures of quality were examined as they related to technical efficiency. Efficiency scores for the study hospitals were computed using data envelopment analysis (DEA). The study found that the technically efficient hospitals were performing well as far as quality measures were concerned. DEA can be used to benchmark both dimensions of hospital performance, that is, technical efficiency and quality. The variables selected for the study were divided under input and output measures. Using the DEA model, the factors considered were weighed and analysis was done. The input variables under study are bed number, trained medical staff and services offered. The output variables considered were outpatient rate, mortality rate and number of surgical operations in a month. Through the study, performance of each hospital is measured, and it aims to find out a relation between the input and output variables.
Intellectual Capital and Company Performance: Evidence from European FinTech Companies

The scope of this study is to examine the impact of Intellectual Capital (IC) on the performance of European FinTech companies. Despite numerous studies conducted to measure the IC, only a few of these explore the impact of IC in dynamic and technological markets. This study intents to contribute to the existing literature by examining a completely new sample of companies that operate in the condition of Industry 4.0. This paper uses data of 12 European Fintech companies from 2016 to 2018, listed in the Dealroom global database. This research employs the Value Added Intellectual Coefficient (VAIC) model proposed by Pulic to measure Intellectual Capital. To obtain accounting information, the authors utilised the Amadeus Bureau van Dijk database.
Management of Barrett’s esophagus with dysplasia refractory to radiofrequency ablation

Radiofrequency ablation (RFA) is very effective for eradication of flat Barrett’s mucosa in dysplastic Barrett’s esophagus after endoscopic resection of raised lesions. However, in a minority of the time, RFA may be ineffective at eradication of the Barrett’s mucosa. Achieving complete eradication of intestinal metaplasia can be challenging in these patients. This review article focuses on the management of patients with dysplastic Barrett’s esophagus refractory to RFA therapy. Management strategies discussed in this review include optimizing the RFA procedure, optimizing acid suppression (with medical, endoscopic, and surgical management), cryotherapy, hybrid argon plasma coagulation, and EndoRotor resection.
Karier Subkultural dan Kritisisme Street Artist Yogyakarta

This article is based on research in 2017 about street artists in Yogyakarta. The study uses qualitative method with following issue and visuals approach on six street artists to extract 3 aspects: issue, medium, and actor. Street artist as subcultural career is a process of creating space and efforts to maintain it. Street artists is mentally affected through perception of surroundings, then their awareness of reality and hopes for public spaces collide so that alternative spaces are created in the street walls, in the end the walls become space wich symbolically interpreted by the viewer. To be able to create space and maintain it, street artists have a side of criticism. Starting from the awareness of differences in public space, selection of street as a core element in the city, as well as accuracy in momentum. Criticism is carried out repeatedly and build a resistance identity. Each street artist is in a position to oppose and criticize the various problems that surround them through two work patterns, issue first or place first. The pattern is also carried out together to form a collective identity.
Genetic variation in testcrosses and relationship between line per se and testcross performance for resistance to Gibberella ear rot in maize.

Gibberella ear rot (GER), caused by Fusarium spp. , is a major concern in maize production in Central Europe, and development of hybrid cultivars having GER resistance is an important breeding goal. The objectives of the present study were to (i) evaluate the variation in testcross performance (TP) of European maize germplasm for GER resistance and deoxynivalenol (DON) contamination, (ii) estimate variance components, heritabilities, and correlations of these traits, and (iii) examine the relationship between line per se performance (LP) and TP. Testcrosses of 30 diverse flint inbred lines with two dent inbred testers were evaluated in four environments under artificial inoculation. Data were recorded on severity of GER and concentration of DON. There was substantial GER development and the range of both traits was greater for LP than TP. Estimates of genotypic and genotype x environment interaction variances were significant for testcrosses with both testers. Genotypic variances were generally higher for LP than for TP in each testcross set. Correlations between LP and TP were moderate (ȓ p ≤ 0.57) for GER rating and DON concentration. We recommend multi-stage selection to develop GER resistant maize hybrids based on evaluation of GER resistance under artificial inoculation for (1) LP in one environment followed by (2) TP evaluation in two to three environments. Only the most promising testcrosses should be tested for DON concentration.
Uptake of Baits by Red Foxes (Vulpes vulpes): Implications for Rabies Contingency Planning in Australia

Baits containing the bait marker iophenoxic acid were used to quantify bait uptake by red foxes in a rural environment in north-eastern New South Wales. Baits were distributed at a mean density of 4·4 baits km-2. Serum iodine levels were analysed from a sample of 29 foxes shot on two baited sites and a nil-treatment site. The mean percentage of foxes with elevated seral iodine, indicating the consumption of at least one bait, was 58·3%. This rate of bait uptake would not consistently deliver reductions in fox densities or immunisation levels considered necessary for the control of rabies enzootics in Europe and North America. The minimum number known to be alive (MNA) method overestimated population reduction and underestimated abundance. Indirect estimators of population abundance, such as bait-station indices, are of more use in rabies contingency planning and modelling. This is because they are more reliable, are likely to overestimate abundance, and are more precautionary. Shooting of foxes at night was an inefficient method of reducing fox populations.
Cut-off shoots method for estimation of partial resistance in apple cultivars to fruit tree canker caused by Neonectria ditissima

Fruit tree canker, caused by the fungus Neonectria ditissima, is an economically devastating disease in apple orchards, especially in north-western Europe. Complete resistance has not yet been reported in apple, but variation in levels of partial resistance has been described and could be valuable in plant breeding programmes. A screening method based on spore inoculation of manually inflicted leaf scars on cut shoots was evaluated for reliability and repeatability in discrimination of 11 apple cultivars during two years – 2012 and 2013 – in two different facilities – biotron and standard greenhouse – and different time periods (February–May). The resulting cankers were counted (infection percentage), first appearance noted (incubation period) and lesion size measured at regular intervals during a period of 25–29 days for comparison of resistance levels. Results of two-way analysis of variance and correlation analyses showed that the area under the disease progress curve yielded the most robust data. This parameter was then applied for screening 30 apple cultivars using the same cut-shoot method. ‘Elise’ showed very high susceptibility, while the ornamental ‘Prairifire’ showed the highest level of partial resistance. Results suggested that cut shoots can be used to assess levels of resistance among cultivars, but great care must be taken to provide stable experimental conditions.
Unique Microbial Community in Drilling Fluids from Chinese Continental Scientific Drilling

Circulating drilling fluid is often regarded as a contamination source in investigations of subsurface microbiology. However, it also provides an opportunity to sample geological fluids at depth and to study contained microbial communities. During our study of deep subsurface microbiology of the Chinese Continental Scientific Deep drilling project, we collected 6 drilling fluid samples from a borehole from 2290 to 3350 m below the land surface. Microbial communities in these samples were characterized with cultivation-dependent and -independent techniques. Characterization of 16S rRNA genes indicated that the bacterial clone sequences related to Firmicutes became progressively dominant with increasing depth. Most sequences were related to anaerobic, thermophilic, halophilic or alkaliphilic bacteria. These habitats were consistent with the measured geochemical characteristics of the drilling fluids that have incorporated geological fluids and partly reflected the in-situ conditions. Several clone types were closely related to Thermoanaerobacter ethanolicus, Caldicellulosiruptor lactoaceticus, and Anaerobranca gottschalkii, an anaerobic metal-reducer, an extreme thermophile, and an anaerobic chemoorganotroph, respectively, with an optimal growth temperature of 50–68°C. Seven anaerobic, thermophilic Fe(III)-reducing bacterial isolates were obtained and they were capable of reducing iron oxide and clay minerals to produce siderite, vivianite, and illite. The archaeal diversity was low. Most archaeal sequences were not related to any known cultivated species, but rather to environmental clone sequences recovered from subsurface environments. We infer that the detected microbes were derived from geological fluids at depth and their growth habitats reflected the deep subsurface conditions. These findings have important implications for microbial survival and their ecological functions in the deep subsurface.