Miracle-dz/UniFAR-FTUs huggingface dataset:
Cavitating Flow Structure and Noise Suppression Analysis of a Hydrofoil with Wavy Leading Edges

The effects of the wavy leading edge (WLE) on the noise suppression mechanism due to a cavity cloud formation around a hydrofoil, which contains condensation, detachment, collapse and shedding phenomenon has been studied numerically. Change of the frequencies during these phenomena can be used for cavitation detection. The oscillations global frequency modes and spectral content for two cases of the straight leading edge (SLE) and wavy leading edge (WLE) hydrofoils are analyzed using Fourier and continuous wavelet transformations. Produced counter -rotation vortices between the peaks of WLE hydrofoil, by destroying the horseshoe vortex and delaying the tail vortex, changes the frequency. Here, in addition to the noise, the hydrodynamic forces also have been discussed. To have a better understanding in designing of the underwater vehicles with W LE hydrofoil, two important hydrodynamic factors, noise and flow forces, had been investigated precisely. We solved the cavitating flow in the cavitation numbers of σ=0.8at a chord-based Reynolds number of 7.2×105, using large eddy simulation (LES) approach, as well as Kunz mass transfer model which is performed under the framework of the OpenFOAM package.
WHAT ARE COMPLETELY INTEGRABLE HAMILTON SYSTEMS

This paper is aimed to undergraduate students of mathematics and mechanics to draw their attention to a modern and exciting field of mathematics with applications to mechanics and astronomy. We cared to keep our exposition not to go beyond the supposed knowledge of these students. ZDM Subject Classification: M55; AMS Subject Classification: 97M50.
Performance based fire safety regulation under intentional uncertainty

Many technical variables used as inputs to fire models actually represent the output of unpredictable human decisions. Human decisions related to fire safety constitute a distinct problem for fire modelling that is not captured by epistemic or aleatory uncertainty, since it is often irreducible even with additional knowledge. Intentional (teleological) uncertainty is proposed to describe this uncertainty. Performance based codes shift fire safety decision making from political to technical domains, but there exist no technical methods for resolving intentional uncertainty. Social decisions can cope with uncertainties because society can not only set overall goals but also resolve the acceptable level of uncertainty in the model, Resolution of the uncertainties will take different forms depending on whether the human decisions are internal to the model or external. External decisions represent 'conditions' for the model, which will have to be accepted politically. Decisions with credible estimates can be internal to the model. Some decision outputs cannot be estimated but can be controlled by a regulatory process as a pre-condition to the use of the model. The existence of a functioning regulatory system capable of resolving uncertainties and keeping human decisions within the conditions of the model is a prerequisite for performance based codes.
Split Convolutional Neural Networks for Distributed Inference on Concurrent IoT Sensors

Convolutional neural networks (CNNs) are increasingly adopted on resource-constrained sensors for in-situ data analytics in Internet of Things (IoT) applications. This paper presents a model split framework, namely, splitCNN, in order to run a large CNN on a collection of concurrent IoT sensors. Specifically, we adopt CNN filter pruning techniques to split the large CNN into multiple small-size models, each of which is only sensitive to a certain number of data classes. These class-specific models are deployed onto the resource-constrained concurrent sensors which collaboratively perform distributed CNN inference on their same/similar sensing data. The outputs of multiple models are then fused to yield the global inference result. We apply splitCNN to three case studies with different sensing modalities, which include the human voice, industrial vibration signal, and visual sensing data. Extensive evaluation shows the effectiveness of the proposed splitCNN. In particular, the splitCNN achieves significant reduction in the model size and inference time while maintaining similar accuracy, compared with the original CNN model for all three case studies.
A Dual-chromosome Representation Genetic Algorithm for Resource Allocation in Container-based Clouds

—Containerization does not only support fast development and deployment of web applications, but also provides the potential to improve the energy efﬁciency in cloud data centers. In container-based clouds, containers are allocated to virtual machines and VMs are allocated to physical machines. This new architecture requires consolidation algorithms to select heterogeneous VMs to host containers and consolidate VMs to PMs simultaneously. Existing server consolidation techniques in VM-based clouds can hardly be applied because of the two-level architecture. This paper proposes a novel dual-chromosome genetic algorithm (GA) to solve the static container allocation problem. The experiments show that the proposed GA achieves signiﬁcantly higher energy efﬁciency than the state-of-the-art algorithms on a wide range of test problems.
Dietary fiber and risk of coronary heart diseases

Dietary fiber is the portion of plant-derived food that cannot be completely broken down by human digestive enzymes. Dietary fibers can be grouped generally by their solubility, viscosity, and fermentation, which affect how fibers are processed in the body. Dietary fiber has two main components: soluble fiber and insoluble fiber, which are components of plant foods, such as legumes, whole grains and cereals, vegetables, fruits, and nuts or seeds. Consumption of cereals, vegetable and fruit may lower the risk of coronary heart disease. Coronary heart disease involves the reduction of blood flow to the heart muscle due to build-up of plaque on the arteries of the heart. Dietary fiber makes three primary contributions: bulking, viscosity and fermentation. The bulking effect of some fibers reduces constipation and the risk of colon disease because they absorb water, which increases bulking and promotes regularity. Viscosity effects on fibers reduce the absorption of cholesterol and other nutrients because of the formation of gels that attenuate postprandial blood glucose and lipid rises. The formation of gels also slows gastric emptying, maintaining levels of satiety and contributing towards less weight gain. In the fermentation process, the bacteria GIT helps to digest fiber through a process of microbial fermentation to generate short chain fatty acids like acetate, propionate and butyrate. Butyrate binds to G-protein coupled receptors on the brush borders of intestinal lining and trigger a signal cascade that release GLP-1 and PYY. These peptides behave like hormones to trigger satiety. One of the reasons for eating fiber rich foods is because they promote satiety and prevent uncontrollable quest for food. People that eat food low in fiber experience over feeding issues. When people over eat they consume more calories leading to weight gain and that contributes to obesity. Obesity is the accumulation of fats in fat tissues. Excess fats are converted to cholesterol (LDL) which accumulates on the walls of the arteries and prevent the flow of blood to the heart. This is prevented when an individual consumes foods rich in fiber.
The service architecture in the ACTIVEMATH learning environment

We discuss the usage of web-services in the ACTIVEMATH learning environment, describe the prototypes implemented and the experience gained. Requirements for an ideal web-service technology are described. They include the notion of event propagation as well as the consideration for stateful web-services. Finally we propose models to make the web-services of ACTIVEMATH available to client components without affecting privacy or security. Further work, within the LE ACTIVEMATH EU project is described.
INFLUENCE OF ORGANIC FERTILIZATION ON ORGANOLEPTIC INDICATORS AND NITRATE CONTENT IN GREENHOUSE SALAD

In an experiment with a greenhouse lettuce in the period 2018-2020, the influence of biological fertilization on the visual characteristics, taste indicators and nitrate content were studied. The biological fertilizers were tested: Arcobaleno, Italpolina, Lumbrical and the microbiological fertilizer Ecoprop NX with control of non-fertilized and mineral fertilization (MF) NPK. The study was conducted with three varieties of salads: ʻMaritimaʼ ʻBataviaʼ type, ʻTuskaʼ variety ʻLolo rosaʼ type and ʻWinter Butterheadʼ ʻButterheadʼ type. An organoleptic assessment was performed on a five-point scale. A differentiated variety reaction was established. The ʻMaritimaʼ variety is the most responsive to the applied organic fertilizer. The variants with organic fertilization have a complex score from 3.52 for Ecoprop NX to 3.62 for Arcobaleno compared to 3.30 for the control of non-fertilized and 3.49 for the control of mineral fertilization. For the variety ʻTuskaʼ only the variant fertilized with Italpolina exceeds the control and has the highest complex score of 3.82. Biological fertilization has improved the quality of the ʻWinter ButterHeadʼ variety and the complex assessment is from 3.14 in Italpolina to 3.41 in Lumbrical compared to the control variants non-fertilized 3.07 and MF 3.10. Fertilization with the tested biological fertilizers does not increase the amount of nitrates in lettuce leaves above the maximum permissible amounts set by the European Commission.
AComparison of Autometrics and Penalization Techniques under Various Error Distributions: Evidence from Monte Carlo Simulation

*is work compares Autometrics with dual penalization techniques such as minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) under asymmetric error distributions such as exponential, gamma, and Frechet with varying sample sizes as well as predictors. Comprehensive simulations, based on a wide variety of scenarios, reveal that the methods considered show improved performance for increased sample size. In the case of low multicollinearity, these methods show good performance in terms of potency, but in gauge, shrinkage methods collapse, and higher gauge leads to overspecification of the models. High levels of multicollinearity adversely affect the performance of Autometrics. In contrast, shrinkage methods are robust in presence of high multicollinearity in terms of potency, but they tend to select a massive set of irrelevant variables. Moreover, we find that expanding the data mitigates the adverse impact of high multicollinearity on Autometrics rapidly and gradually corrects the gauge of shrinkage methods. For empirical application, we take the gold prices data spanning from 1981 to 2020. While comparing the forecasting performance of all selected methods, we divide the data into two parts: data over 1981–2010 are taken as training data, and those over 2011–2020 are used as testing data. All methods are trained for the training data and then are assessed for performance through the testing data. Based on a root-mean-square error and mean absolute error, Autometrics remain the best in capturing the gold prices trend and producing better forecasts than MCP and SCAD.
Has the time come to consider Omega-3 to be part of treatment protocol for atopy and neurodevelopmental disorder?

Omega-3 fatty acid benefits health throughout life. It is especially important for children’s health. It improves symptoms of children with autism and other neurodevelopmental disorders by improving communication and language development and improving behaviour and cognitive function. It also helps in controlling asthma and other atopic conditions. Adding omega-3 to routine management plan for children with asthma, allergic rhinitis, and neurodevelopment worth consideration.
Influence of Traffic Signal Timing on Red-Light Running and Potential Vehicle Conflicts at Urban Intersections

Motor vehicle crashes at traffic signals are a major source of injuries and property damage, especially in urban areas. Many crashes result from vehicles entering the intersection after the onset of a red light, a traffic violation that may be affected by the duration of the change interval (the yellow and all-red periods of the traffic signal). The purpose of this study was to examine short-term and sustained effects on red-light compliance and potential vehicle conflicts as a result of an increase in change intervals to values associated with the Institute of Traffic Engineers (ITE) proposed recommended practice for determining vehicle change intervals. Data were collected during an experiment in an urban location involving changes in signal timing at some 10 intersections. Observations included the proportion of signal cycles with vehicles entering on a red light and the proportion of vehicles exiting the intersection after the onset of a conflicting green signal. Results indicate that change intervals set closer to ITE’s proposed recommended practice can reduce red-light violations and potential right-angle vehicle conflicts and that such safety benefits can be sustained.
Monte Carlo simulation of halos in the crystal clouds

In this paper, we try to answer the question: how the multiple scattering, the sun elevation, shape and orientation of ice crystals in the cirrus clouds affect a halo pattern. To study the radiation transfer in optically anisotropic clouds, we have developed the software based on Monte Carlo method and ray tracing. In addition to halos, this software enables one to simulate “anti-halos”, which above the cloud layer can be seen by observers. We present the visualization of halos and anti-halos generated by the cirrus clouds for different shapes and orientations of ice crystals.
Status of the development of superconducting undulators at ANKA

In order to produce high-brilliance hard X-ray photon beams, permanent magnet short-period undulators are applied in many synchrotron facilities worldwide. Superconducting undulators (SCUs) have the potential to further increase the spectral range and brilliance. At the ANKA (ÅNgstrom source KArlsruhe) synchrotron radiation facility, we thus pursue an SCU-focused research and development program in a collaboration between the Karlsruhe Institute of Technology (KIT) and Babcock Noell GmbH (BNG), the status of which is reported in this contribution. The effort to develop instruments and tools for quality assessment of the magnetic field of SCUs and to enhance the understanding of beam heat load mechanisms in a cold bore is also described.
On the recovering of acoustic attenuation in 2D acoustic tomography

The inverse problem of recovering the acoustic attenuation in the inclusions inside the human tissue is considered. The coefficient inverse problem is formulated for the first-order system of PDE. We reduce the inverse problem to the optimization of the cost functional by gradient method. The gradient of the functional is determined by solving a direct and conjugate problem. Numerical results are presented.
Co-authorship network structure analysis

The analysis of networks of collaboration between scientists reveals features of academic communities that help in understanding the specifics of collaborative scientific work and identifying the notable researchers. In these networks, the set of nodes consists of authors and there exists a link between two authors if they have coauthored one or more papers. This article presents an analysis of the co-authorship network based on bibliometric data retrieved from the distributed economic database. Here we use the simple network model without taking into account the strength of collaborative ties. The data were analyzed using statistical techniques in order to get such parameters as the number of papers per author, the number of authors per paper, the average number of coauthors per author and collaboration indices. We show that the largest component occupies near 90 % of the network and the node degree distribution follows a power-law. The study of typical distances between nodes and the degree of clustering makes it possible to classify the network as a ‘small world’ network.
ACCOUNTING HARMONIZATION BETWEEN UNIFORMITY AND DIVERSITY AVRAM

The internationalization of economy as a result of business globalization and the ongoing development of international cooperation have led to the globalization of financial markets, which has forced the convergence of accounting systems and implicitly generated a universal accounting language. The process of globalization has a significant impact on accounting diversity that tends to diminish, leaving room for uniformity in terms of respecting the cultural, ethical and traditional values of each state. Current accounting regulations at international level are aimed at harmonization, convergence and compliance. The need for harmonization and uniformity in accounting implies the establishment of norms and rules, i.e. the normalization of it. Therefore, objectives, concepts, rules, methods and procedures for obtaining and using financial-accounting information are set and regulated. In this context, the relationship between uniformity and diversity in the international accounting harmonization process needs to be carefully considered, it is necessary to know the opinion of specialists about their perception of the impact of accounting harmonization on uniformity and diversity Diversity in itself must not encourage resistance to change; the process of harmonization once started will certainly continue, and it is necessary to understand what will be preserved from what we call accounting diversity and how will accounting reasoning, alternative accounting treatments or creativity specific to the accounting profession adapt to the new conditions. Index Terms Accounting harmonization, accounting normalization, diversity, international accounting standards, uniformity.
A circular layout algorithm for attributed hierarchical graphs with ports

Information visualization based on graph models is a key component of support tools for many applications in science and engineering. The Visual Graph system is intended for visualization of big amounts of complex information on the basis of attributed hierarchical graph models. In this paper, a circular layout algorithm for attributed hierarchical graphs with ports and its effective implementation in the Visual Graph system are presented.
Problematic Mobile Phone Use Among Undergraduate Medical Students and Its Impact on Sleep Quality and Sleep Pattern

Introduction: Sleep deprivation is a concern in young adults and the use of mobile phone is very common in this population. This study aimed to measure and correlate the sleep quality, pattern of sleep and problematic mobile phone use in young medical students. Methods: A cross-sectional study was conducted using the Pittsburgh Sleep Quality Index (PSQI), Problematic Mobile Phone Use Scale (PMPUS) and Morningness-Eveningness Questionnaire (MEQ) among medical students in a Malaysian medical college. Correlation among the variables was done using bi-variate analysis followed by Pearson correlation coefficient and 2-tailed significance. A level for p ≤ 0.05 was considered as statistically significant. Results: We found significant positive correlation between poor sleep quality and total problematic mobile phone use as well as its sub dimensions, namely deprivation, adverse outcomes and control disorder. PSQI score showed significant negative correlation with different patterns of MEQ like moderate evening, late sleepers, moderate morning and early risers. Positive correlation of the PSQI with sub dimension of PMPUS reflects unhealthy dependency on mobile phone in this population. Conclusion: Our study revealed that the unhealthy use of mobile phone adversely affected sleep quality in the cohort of young medical students. It is thus important for medical schools to formulate policies and create educational programs vis-a-vis sleep health and to increase awareness regarding controlled mobile phone usage.
RESEARCH ON FRUIT QUALITY OF SEVERAL APPLE CULTIVARS FROM DIFFERENT LOCATIONS IN THE AREA OF WESTERN ROMANIA

Known since ancient times, the apple remains one of the most appreciated fruits of temperate climate, contributing to a good functionality of the human body through its complex chemical composition, being recommended in the prophylaxis or control of many diseases, such as: liver, cardiovascular, renal, insomnia, rheumatic diseases et al. In Banat, Șiria area in Arad County, is among the areas with tradition in the cultivation of this fruit species. This paper, part of a larger research conducted in a doctoral thesis, aimed at a comparative study of the fruit quality on apple cultivars found in the private orchards of several families in Șiria area and cultivars purchased from various supermarkets in Arad and Lipova. The paper presents results on the fruits quality in three cosmopolitan cultivars: Starkrimson, Florina and Golden delicious, which could be purchased both from private orchards and from various stores. For example, in terms of the size and appearance of the fruit studied in the Starkrimsom cultivar, it was found that the fruit from three locations had higher values than those from the store; the content in mineral substances (g/100 g product) varied between 0.144 for the fruits in the store and 0.662. respectively 0.900 for the fruits from the same two locations; the sugar content had quite close values between samples, however, one of the private locations was highlighted (15.3oBrix); the total polyphenol content exceeded the value in the supermarket in four of the five locations. The fruit weight of Florina cultivar apples was higher than those from the supermarket, with one exception. The content in minerals and sugars exceeded in two locations the fruits from the store; while the polyphenols exceeded in all five private orchards the value of the fruits purchased from the store (1491.7 ppm compared to 650.9 ppm). In the Golden delicious cultivar, the appearance and fruit weight were superior in the case of those in the supermarket, but the content in mineral substances and in the sugars was higher for the local fruits than for those in the store. The polyphenols accumulated in the fruit exceeded in three of the five locations the value of those from the fruits purchased in the store.
A Robust Visual Inertial Navigation System Based on Low-cost Inertial Measurement Unit

A visual-inertial system (VINS) based on vision sensor is vulnerable to environment illumination and texture, the problem of initial scale ambiguity still exists in a monocular VINS system. The fusion of a monocular camera and an inertial measurement unit (IMU) can effectively solve the scale blur problem, improve the robustness of the system, and obtain higher positioning accuracy. Based on a monocular visual inertial navigation system (VINS-mono), a state-of-the-art fusion performance of monocular vision and IMU, an initialization scheme is designed which can calculate the acceleration bias as a variable during the initialization process so that it can be applied to low-cost IMU sensors. The experimental result on the EuRoc dataset shows that the initial values obtained through the initialization process can be efﬁciently used for launching nonlinear visual-inertial state estimator and positioning accuracy of the improved VINS-mono has been improved by about 8% than VINS-mono.