Miracle-dz/UniFAR-FTUs huggingface dataset:
Nematodes associated with the double‐spined bark beetle Ips duplicatus (Coleoptera: Curculionidae) in central Europe

Ips duplicatus (Sahlberg) is an important forest pest in central Europe, but its nematode associates have seldom been studied. Therefore, nematodes associated with I. duplicatus were determined at three localities in the Czech Republic. The percentage of beetles with phoretic nematodes ranged from 18 to 65%. Micoletzkya buetschlii and other phoretic nematodes were found under elytra, on wings, and between body segments. The percentage of beetles with nematodes in the haemocoel ranged from 3 to 30%, and the nematodes included Contortylenchus diplogaster and Parasitylenchus cf. aculeatus. Juveniles of Parasitorhabditis obtusa (Fuchs 1915) were found in the intestines of 0–16% of the beetles. The most abundant species in I. duplicatus galleries were P. obtusa and M. buetschlii. Cryptaphelenchus sp. , Parasitaphelenchus sp. and unidentified tylenchid juveniles also were found in the galleries. The percentage of beetles with nematodes was greater in the overwintering than in the offspring generation, and numbers of nematodes per gallery increased with gallery development.
A Framework for Optimal Fault Tolerance Protocol Selection Using Fuzzy Logic onIoT Sensor Layer

— Internet of things (IoT) is the intersection of many different technologies and networks. The management of these is very complex and important. One of the dimensions that must be considered in IoT management is the fault tolerance level of the systems. Of particular importance is the fact that lack of, or a weakness of this feature would threaten the survival and existence of the system. In this paper, a framework called FISWSN is proposed to evaluate the fault tolerance feature of protocols and frameworks in the first layer of the IoT architecture (Sensing layer). Given that the Fault Tolerance is a qualitative parameter, the linguistic variables and fuzzy logic are used to implement the proposed framework. FISWSN is used to elect optimal protocols and architectures with the aim of increasing fault tolerance and higher efficiency in the final output but at a lower cost.
Chemical characterization of leaves of organically grown carrot Dacus carota L.) in various stages of development for use as food

In Brazil, street markets and vegetable distributors discard vegetable leaves and stems, including those of carrot (Dacus carota L.). Seeking to reduce the waste of vegetable parts, this study characterized chemically the leaves of organically grown carrot in three stages of development to determine the best time for their removal and consumption as food. The leaves were dehydrated in an oven at 70 °C for 43 hours and analyzed for chemical composition, antioxidant activity, chlorophyll content, fatty acid composition, and also calcium (Ca), sodium (Na), potassium (K), magnesium (Mg), manganese (Mn), iron (Fe), zinc (Zn), and copper (Cu) contents. The analyses indicated 100 days of development as the ideal stage for the removal and consumption of carrot leaves with good antioxidant activity requiring only 63.78 ± 0.5 mg.L-1 methanol leaf extract to inhibit 50% of the concentration of the free radical DPPH (2,2-diphenyl-1picrilidrazil), and total protein and alpha-linolenic acid (18:3 n-3/LNA) contents of 18.23% ± 2.8 and 876.55 ± 20.62 mg.100 g-1 of dry matter, respectively.
Autoantibodies in Viral Infections

The immune system’s ability to distinguish self from nonself is essential for initiating host defense against microbial antigens and protection of self-antigens from autoimmune-associated destruction. Virus infections have been implicated in the initiation of multiple human autoimmune diseases. This chapter aims to summarize the main principles for some specific viral infections and the subsequent production of autoantibodies resulting in the initiation, progression, and perpetuation of autoimmune diseases. Various mechanisms by which virus infections can induce autoimmune responses including molecular mimicry and epitope spreading are discussed with respect to these viruses, and evidence implicating virus infections in the pathogenesis of various human autoimmune diseases is reviewed. A better understanding of the viral origin of autoimmune diseases is an important step in the identification of high-risk patients as well as designing prevention and disruption strategies.
Edge-based graph grammar: theory and support system

—As a useful formal tool, graph grammar provides a rigorous but intuitive way for defining graphical languages and analyzing graphs. This paper presents a new context-sensitive graph grammar formalism called Edge-based Graph Grammar or EGG, in which a new methodology is proposed to tackle issues, such as the embedding problem, the membership problem and the parsing algorithm. It presents the formal definitions of EGG and its language with a proof of its decidability. Then, a new parsing algorithm with an analyses of its computational complexity is given for checking the structural correctness or validity of a given host graph. The paper finally describes the development of an EGG support system with friendly GUI.
Reflections About the Gut, A Microbiologist’sPerspective

Without doubt, the original function of the human gut was to digest and absorb food. Its epithelial cells absorb food after it has been processed to smaller components by enzymatic digestion. Comparable epithelial processes are also found in animals, including sea animals, and plants [1]. Disturbance of the gut homeostasis by infections leads to disease. From mild diarrhea of short duration (e.g. caused by poliovirus, rotavirus, norovirus and Campylobacter) to lethal infections by toxin producing bacteria such as cholera. Cholera often occurs as a result of crowding and poor hygiene. It was very problematic during the first industrial revolution in the UK where poor migrants lived under dismal conditions. This situation was a trigger for Karl Marx and Friedich Engels to write the Communist Manifesto. More recently it hit Haiti after the earthquake in 2010. In addition to acute and life threating disease an accumulation of milder diarrheal episodes can have dire consequences. It may cause under nutrition with as results impaired development of the brain. An analysis by Eppig et al. [2] found an inverse correlation between disease burden and average intelligence. They explain this by a lack of energy to build the brain, as a consequence of infectious disease [2]. Another, Brazilian, study found a correlation between early childhood diarrhea and impaired growth and cognitive abilities [3].
China After Socialism: In the Footsteps of Eastern Europe or East Asia?

Book file PDF easily for everyone and every device. You can download and read online China After Socialism: In the Footsteps of Eastern Europe or East Asia? : In the Footsteps of Eastern Europe or East Asia? (Socialism & Social Movements) file PDF Book only if you are registered here. And also you can download or read online all Book PDF file that related with China After Socialism: In the Footsteps of Eastern Europe or East Asia? : In the Footsteps of Eastern Europe or East Asia? (Socialism & Social Movements) book. Happy reading China After Socialism: In the Footsteps of Eastern Europe or East Asia? : In the Footsteps of Eastern Europe or East Asia? (Socialism & Social Movements) Bookeveryone. Download file Free Book PDF China After Socialism: In the Footsteps of Eastern Europe or East Asia? : In the Footsteps of Eastern Europe or East Asia? (Socialism & Social Movements) at Complete PDF Library. This Book have some digital formats such us :paperbook, ebook, kindle, epub, fb2 and another formats. Here is The Complete PDF Book Library. It's free to register here to get Book file PDF China After Socialism: In the Footsteps of Eastern Europe or East Asia? : In the Footsteps of Eastern Europe or East Asia? (Socialism & Social Movements).
Hematology of the bronze Turkey (Meleagris gallopavo): Variations with age and gender

7 Abstract: One hundred and ten Bronze Turkeys: 40 females (19-23 week-old), 13 males (19-23 week-old), 35 females (30-32 week-old) and 22 males (30-32 week-old), were investigated to analyse the influences of age and sex on hematological parameters. Statistical comparisons were made for differences in values between male and female and among different ages. Lymphocytes were the major circulating leukocyte for all birds. Total serum protein, lymphocytes and basophils were significantly different between females of both ages. The RBC values were significantly different between males of both ages.
Diet and Trophic Niche Overlap of Three Toad Species (Amphibia, Anura) from Poland

ABSTRACT During our study we identified 53 prey items in the trophic spectrum of Bombina bombina, 124 prey items in the diet of Bufo bufo and 95 prey items in the diet of Epidalea viridis. The average number of prey items per stomach is as follows: Bombina bombina - 7.57, Bufo bufo - 9.0 and Epidalea viridis - 13.57. In all studied species the most important prey category is Coleoptera. Other important prey animals are Hemiptera, Hymenoptera and Dermaptera as well as non-insect invertebrates (Gastropoda and Arachnida) which also play significant role. All toads consume almost only terrestrial prey. The trophic niche breadths for the three species are as follows: Bombina bombina - 5.40, Bufo bufo - 4.47 and Epidalea viridis - 2.42. The estimated trophic niche overlap between the species is moderate (58.82% - 63.72%) and probably there is no or insignificant competition for food resources between them in the places with sympatric distribution. All studied species are polyphagous zoophages, like other amphibian species and they are probably consuming all mobile objects which they come in contact with and can swallow.
OVEREDUCATION AMONG IMMIGRANTS DEPENDING ON RESIDENCE TYPE

The analysis confirms that the overeducation rate in Denmark is larger for immigrants than natives and in particular for immigrants with a foreign education. Exploring overeducation among immigrants of different residence types reveals that EU-citizens from new EU-countries, other immigrant workers and students are most often overeducated. Among overeducated, it is only immigrants from old EU-countries and the Nordics and – to some extent – immigrants with a work-permit that are close to obtaining educational returns at the level of overeducated natives. For all other residence types, the returns are lower. The results emphasize that overeducation among immigrants can be closely linked to the reasons initiating the migration and therefore also immigrants’ type of residence permit.
Zynq SoC based acceleration of the lattice Boltzmann method

Cerebral aneurysm is a life‐threatening condition. It is a weakness in a blood vessel that may enlarge and bleed into the surrounding area. In order to understand the surrounding environmental conditions during the interventions or surgical procedures, a simulation of blood flow in cerebral arteries is needed. One of the effective simulation approaches is to use the lattice Boltzmann (LB) method. Due to the computational complexity of the algorithm, the simulation is usually performed on high performance computers. In this paper, efficient hardware architectures of the LB method on a Zynq system‐on‐chip (SoC) are designed and implemented. The proposed architectures have first been simulated in Vivado HLS environment and later implemented on a ZedBoard using the software‐defined SoC (SDSoC) development environment. In addition, a set of evaluations of different hardware architectures of the LB implementation is discussed in this paper. The experimental results show that the proposed implementation is able to accelerate the processing speed by a factor of 52 compared to a dual‐core ARM processor‐based software implementation.
ROBUSTNESS ANALYSIS OF MULTI-STOREY RC FRAME STRUCTURE FOR CORNER COLUMN LOSS

Miloš Ĉokić 2 UDK: 624.042. 072.2:69.032. 2 DOI: 10.14415/konferencijaGFS2019.002 Summary: Structural robustness represents the properties of a structural system to resist the progressive collapse i.e. to prevent the chain collapse of the structure, in the case of local failure of vital elements, by establishing the redistribution of effects and by enabling the formation of alternative load paths. Most often, in case of loss of one of the vertical element, the structure is subjected to large deformations, which makes the application of non-linear analysis necessary to study the behaviour of the structure until the formation of mechanisms or progressive collapse.
Computational Experience with Lenstra's Algorithm

Integer programming is an important mathematical approach for many decisionmaking problems. In this field, a major theoretical breakthrough came in 1983 when H. W. Lenstra, Jr. proposed a polynomial-time algorithm for a general integer programming feasibility problem where the number of variables is fixed. Two key ingredients of Lenstra’s algorithm are ellipsoidal approximation of polytopes and lattice basis reduction. However, the lack of practically efficient algorithms and software for the ellipsoidal approximation of polytopes had made it difficult to study the computational properties of Lenstra’s algorithm. In this paper, using a newly developed ellipsoidal approximation algorithm as a subroutine, we have implemented a version of Lenstra’s algorithm for the general integer programming feasibility problem. Our numerical results on smallto medium-sized test instances indicate that Lenstra’s algorithm often examines far fewer nodes than the traditional branch-and-bound approach. Currently, the main bottle-neck in the performance of the algorithm lies in the step of lattice basis reduction.
Pressure dependence of the nitrogen dissociation fraction and concentration of active species in Magnetic Pole Enhanced Inductively Coupled Plasma

RF generated inductively coupled Ar-N2 plasma is investigated by optical emission spectroscopy and Langmuir probe over a wide range of filling pressure (15-300mTorr), different rf power (10-100W) and various argon content (5-95%) in nitrogen discharge. The emission intensity of second positive band head of molecular nitrogen N2 at (λ=337.1 nm, 0-0) and atomic nitrogen N at (λ=746.83 nm) are used to determine the concentration of their ground electronic states and dissociation fraction using actinometry method. The Boltzmann plot method is used to calculate the excitation temperature. Important plasma parameters such as electron temperature and electron number density are determined by the Langmuir probe for different discharge conditions in Ar-N2 discharge. It is observed that the filling pressure and input rf power influence strongly the plasma parameters, dissociation fraction and the concentration of reactive species in the ground electronic state. “The maximum dissociation is found with filling pressure of 150mTorr in Ar-N2 plasma”. It is also found that the excitation temperature and electron temperature have similar trends with rf power and filling pressure. (PACS: 52.80.Hc; 52.80.Sm; 34.70. +e; 52.70.Kz; 81.65.Lp)
HAND GESTURE RECOGNITION USING BIOACOUSTIC RE-SPONSE

In recent years, wearable devices such as the smartwatch and activity tracker are becoming more popular. They are unique from the viewpoints that they are worn on the body, therefore they are applicable as always-available interface for input and output. Especially, such a device located on the wrist is advantageous for capturing biosignals such as the biometric and bioacoustic signals. Some studies on estimation of hand gestures by using biosignals has been conducted, however, few studies have focused on the problem that the number of measuring times for the estimation increases in proportion to the number of gestures. In this study, we propose the method to reduce the number of measuring times for estimating the hand gestures. We recognize the hand gestures by actively applying the biometric vibrations. First, we developed a wearable wristband sensor provided with a transducer and a contact microphone. For estimating the hand gestures, the transducer inputs the unnoticeable vibration to the wrist and the contact microphone receives the transmitted signal. We estimated energy spectral density(ESD) of the received signals and measured the subset hand dimensions(SHD), the 4 hand dimensions independent of each other. we made the individual multi-layer perceptron (MLP) model by fine-tuning the pre-trained MLP model, applying it to estimate hand gestures. We input the dataset of ESD and SHD as the feature values to individual MLP model. We confirmed the recognition accuracy and the mean value of the accuracy reached more than 80% (7 participants, 7 kinds of gestures). As future work, we planned to consider estimating the SHD from recorded bioacoustics signals.
Institutional Authority or Powers of Human Proximity ? Impact of Chosen Macroeconomic Indicators on Quality of Microfinance Portfolios

Portfolio quality is the lighthouse indicator of the finance– macro economy nexus, even more important in unstructured immature environments of development finance sector such as microfinance. Growing over indebtedness indicated by deteriorating portfolio quality seems to signalup coming stress in m ost m icrofinance m arkets, b ecoming a ricocheting specter of a global repayment crisis lurking in the shades of the past repayment crisis. The question what factors are important for the portfolio quality thus acquires new significance as resources demarginalizing microfinance including regulatory attention are to be directed to most efficient directions. Is it rather the microeconomic forces at arm’s l ength w ithin v illage b anks s uch a s t he m usketeer principle or rather macroeconomic powers that can be traced to impact of the aggregate portfolio quality?
Population genetic structure of the butterfly Melitaea didyma (Nymphalidae) along a northern distribution range border

The population genetic structure of the butterfly Melitaea didyma was studied along the northern distribution range border in Central Germany by means of allozyme electrophoresis. Individuals were sampled from a total of 21 habitat patches from four regions, and two provinces. Sampling was designed to estimate local vs. regional differentiation. High levels of variability were found, He= 0.14‐0.21. The mean expected sample heterozygosity from one region, Mosel, was significantly lower than from the Hammelburg region, He= 0.17 and 0.19, respectively. Two hierarchical levels of genetic differentiation were found. Within regions individuals sampled from different patches behaved as belonging to one population with high levels of gene flow (Hammelburg FST= 0.015, Mosel FST= 0.044), though local isolation barriers did create a substructuring of these populations. The inbreeding coefficients, FIS, were constant over all sample levels, suggesting a similar distribution of habitat patches within regions. Between regions gene flow was limited. An isolation by distance analysis indicated that the hierarchical structure, at the provincial level, may be breaking down due to isolation of regional populations. A more general observation was that the sampling design may greatly have influenced the estimation of genetic differentiation. Depending on which samples were included, overall FST estimates ranged from 0.059‐0.090.
MODELING OF MAGNETIC HYSTERESIS UNDER WEAK MAGNETIC FIELDS AND TRIAXIAL STRESS STATE

The problem of a theoretical description of changes in the magnetization of ferromagnets in external magnetic fields and mechanical stresses is associated with the need to take into account its total free energy, which depend in a complex way on internal factors (internal and applied stresses, magnetic anisotropy, dislocations, non-equilibrium point defects and inclusions, phase composition). One of the popular mathematical models of magnetic hysteresis of ferromagnetic materials was developed by Jiles and Atherton [1] and then was supplemented by the other scientists. The Jiles-Atherton model (JA-model) has a higher computational performance compared with Preisach phenomenological model and the Stoner-Wolfart hysteresis model [2]. And taking into account modifications, important advantages of the JA-model are the connection with the actual physical parameters of the ferromagnetic material, the calculation of major and any minor hysteresis loops on the same model parameters, the simulation of materials with isotropic and anisotropic properties, the calculation of the effect of mechanical stresses on magnetization.
Power Quality Enhancement for A Grid Connected Wind Turbine System

In this project, the harmonics present in the system has been reduced and the voltage dip has been mitigated. The method used to overcome these problems were the use of STATCOM controller to reduce the harmonics and TCSC system to mitigate the dip in voltage. The harmonics were reduced in the system from 0.70% to 0.69% in the wind turbine system. Harmonics in the source has been reduced from 6.9% to 0%. The reduction also takes place in the non-linear load from 29.29% to 27.88%. The TCSC system reduced the voltage dip from 30% to 0%. For future work, a controller could be designed which reduces harmonics of more that one nature since different wind turbines use different generators to convert mechanical energy to electrical energy. Keywords— Wind Turbine; Grid; STATCOM; Energy Storage; Efficiency
Lipophorin uptake by the larval fat body and adult ovary in the wax moth Galleria mellonella

Lipophorin (Lp) acts in the circulation of insects to selectively deliver lipids to target tissues. In the present study, we wanted to show that Lp is taken up into larval fat body cells and the adult ovary in Galleria mellonella. Larval fat body and adult ovary tissues were incubated at room temperature for 30 min with fluorescein isothiocyanate (FITC)‐labeled Lp. Fluorescence microscopy and sodium dodecylsulfate (SDS)–polyacrylamide gel electrophoresis (PAGE) revealed that fat body and ovary tissues internalize fluorescence‐labeled Lp. The results suggest that both lipids and proteins are taken up by fat body cells and the ovary and also that large amounts of proteins and lipids taken up can serve as building blocks and as a source of energy. Immunological relationships with other insects were investigated using western blotting. The data showed that the Lp of Galleria mellonella is related to that of Hyphantria cunea.
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data

Managing a chronic disease like Type 1 diabetes (T1D) is both challenging and time consuming, but new technologies that allow continuous measurement of glucose and delivery of insulin have led to significant improvements. The development of an artificial pancreas (AP), which algorithmically determines insulin dosing and delivers insulin in a fully automated way, may transform T1D care but it is not yet widely available. Patient-led alternatives, like the Open Artificial Pancreas (OpenAPS), are being used by hundreds of individuals and have also led to a dramatic increase in the availability of patient generated health data (PGHD). All APs require an accurate forecast of blood glucose (BG). While there have been efforts to develop better forecasts and apply new ML techniques like deep learning to this problem, methods are often tested on small controlled datasets that do not indicate how they may perform in reality - and the most advanced methods have not always outperformed the simplest. We introduce a rigorous comparison of BG forecasting using both a small controlled research dataset and large heterogeneous PGHD. Our comparison advances the state of the art in BG forecasting by providing insight into how methods may fare when moving beyond small controlled studies to real-world use.