Miracle-dz/UniFAR-FTUs huggingface dataset:
Notes on egg-laying, clutch size and hatchling feeding of Emys orbicularis in the Kharkiv region, Ukraine

Emys orbicularis was studied 1999–2004 in the Kharkiv region of Ukraine. There, it inhabits oxbows, main riverbeds, springs, swamps, and artificial ponds. Egg-laying takes place at the end of May to the middle of July. The majority of nesting sites are situated on sandy terraces of rivers, on southfacing slopes with steppe-meadow vegetation. The most frequent clutch size is 9–11 eggs but it varies from 6–22 eggs (maximum for Ukraine). Hatchlings migrate to permanent water bodies in autumn or the next spring following terrestrial hibernation. Post-mortem examination of migrating hatchlings in spring revealed the presence of terrestrial insect remains in their digestive tracts.
The effect of feeding with low-protein feed mixes on the growth and slaughter value of young male Pharaoh quails

Abstract. Experimental material consisted of one-day Pharaoh quail chicks, which were separated into three experimental groups. The birds of group I received a fodder, the nutritive value of which was consistent with recommended feeding standards for growing quails, whereas for those of group II and III the protein level was lowered in all feed mixes appropriated for the whole rearing period. During the experiment, individual body weight, feed consumption, and bird deaths and their health culling were controlled. At the age of 42 days, 11 males of each group, with a body weight similar to the group mean, were slaughtered. In blood samples collected, the level of amylase was assayed, as well as quail slaughter value was calculated and depot fat and extramuscular fat contents were determined. Meat chemical determinations were made (dry matter, protein and fat contents), as well as physicochemical (pH, colour, water binding capacity) and sensory ones (cooked meat and bouillon). Basing on the performed examination, it was found that a lowered level of protein in fodder did not affect quail body weight, slaughter yield, or breast part and leg participation in body weight. Carcass fatness decreased and meat water binding capacity improved. The values of majority of other examined meat qualitative traits were similar to those obtained in control group.
Effect of probiotic with ascorbic acid on the growth performance of broilers in summer season

An experiment was conducted to study the effect of probiotic and ascorbic acid supplementation independently and simultaneously either in feed or in drinking water on production performance of broilers in summer season. Four hundred and twenty day-old commercial broiler chicks were procured and distributed to seven treatment groups with two replicates of thirty chicks each. In the control group (T1) basal diet without any feed supplement was used. In the other treatment groups, basal diet with (T2) probiotic in feed, (T3) ascorbic acid in feed, (T4) combination of probiotic with ascorbic acid in feed, (T5) probiotic in drinking water, (T6) ascorbic acid in drinking water, (T7) combination of probiotic and ascorbic acid in drinking water were used. The inclusion of probiotic and ascorbic acid both independently and simultaneously either in feed or in drinking water to broilers had made significant (P<0.01) improvement in body weight, total feed consumption and feed efficiency.
Moduli stabilization in toroidal type IIB orientifolds

We discuss the first step in the moduli stabilization program a la KKLT for a general class of resolved toroidal type IIB orientifolds. In particular, we discuss their geometry, the topology of the divisors relevant for the D3–brane instantons which can contribute to the superpotential, and some non–trivial aspects of the orientifold action.
Biological and molecular effects of pyriproxyfen, insect growth regulator (IGR), on Met gene in susceptible wild type and Met mutant Drosophila

Juvenile hormone (JH) signaling pathway at the molecular level is still not well understood. Methoprene-tolerant (Met) in Drosophila melanogaster fulfills many of the requirements for a hormone receptor gene. However, Met mutant flies are resistant to insect growth regulators (IGRs). In our study, the resistance to juvenile hormone agonist (JHA) in Methoprene-tolerant (Met) mutant flies was studied. Met mutant and susceptible wild type larvae were treated by different concentrations of pyriproxyfen at 0, 0.03, 0.1, 0.3, 1, and 3 ppm. We observed that the mean percentage mortalities in Met mutant were significantly (P<0.05) lower than that in the susceptible wild type. Also, resistance in insects to IGRs due to Met gene was studied using PCR and DNA sequencing analyses. We found that there are no changes in the DNA sequences of Met gene after the treatment with pyriproxyfen.
Statistical Time-based Intrusion Detection in Embedded Systems

This paper presents a statistical method based on cumulative distribution functions (CDF) to analyze an embedded system’s behavior to detect anomalous and malicious executions behaviors. The proposed method analyzes the internal timing of the system by monitoring individual operations and sequences of operations, wherein the timing of operations is decomposed into multiple timing subcomponents. Creating the normal model of the system utilizing the internal timing adds resilience to zero-day attacks, and mimicry malware. The combination of CDF-based statistical analysis and timing subcomponents enable both higher detection rates and lower false positives rates. We demonstrate the effectiveness of the approach and compare to several state-of-theart malware detection methods using two embedded systems benchmarks, namely a network connected pacemaker and an unmanned aerial vehicle, utilizing seven different malware.
Inbreeding and Coancestry of Freestone Peach Cultivars of the Eastern United States and Implications for Peach Germplasm Improvement

Analysis of the pedigrees of selected eastern United States freestone peach [Prunus persica (L.) Batsch] cultivars reveals high degrees of inbreeding and coancestry. Commonly used parents include ‘Admiral Dewey’, ‘Elberta’, ‘Halehaven’, ‘J.H. Hale’, ‘Rio Oso Gem’, and ‘St. John’. These cultivars and their progeny were used as parents primarily for superior fruit quality. Selection for fruit quality has led to the intensive use of relatively few cultivars and a restriction in freestone peach germplasm. Future progress in the development of high quality, cold hardy, disease- and insect-resistant cultivars will depend upon expansion of the germplasm base, and identification and interfusion of genes conferring desired tree and fruit characters into existing eastern United States peach germplasm.
Two New Species of Dactylospora (Dactylosporaceae, Lecanorales), with a Key to the Known Species in Scandinavia

Abstract Dactylospora aeruginosa Holien & Ihlen, sp. nov. is described from Norway and U.S.A. and D. borealis Holien & Ihlen, sp. nov. is described from Norway, Sweden, and U.S.A. Both species are lichenicolous, but D. aeruginosa is also saprobic on wood and bark of Picea abies and Juniperus communis, whereas D. borealis is only rarely growing on bark of P. abies. Notes are given on their ecology and distribution. A key to the known lichenicolous species of Dactylospora occurring in Scandinavia is included. Lichenodiplis lecanorae is suggested to be the anamorph of D. borealis.
Environmental Sources of Listeria and Yersinia in Vermont Dairy Plants.

This survey was conducted to identify specific environmental sources of Listeria and Yersinia in Vermont dairy plants, and to further determine whether the type of plant and specific conditions existing within plants influenced the incidence of positive microbiological results. A total of 361 environmental samples, focusing on floors and other nonproduct contact surfaces, was taken from all of Vermont's 34 dairy processing plants. The incidence of Listeria monocytogenes (1.4%) was low compared to the incidence of Listeria innocua (16.1%). While only 2.5% yielded other Yersinia species, 10.5 % of the sites were positive for Yersinia enterocolitica . Sites positive for either Listeria or Yersinia were statistically more likely to produce a positive result for both (P<.05). Fluid plants had the highest incidence of both Listeria and Yersinia when compared to cheese plants or other types of dairy manufacturing plants. Areas associated with case washers in fluid plants had the highest incidence of microbial contamination. An additional area of concern for all types of plants was sanitizing floor mats and foot baths from which positive microbiological results were obtained. Contamination in wet areas was significantly greater than in dry areas of the plants (P<.05). Identification of the sources and conditions associated with these problematic bacterial pathogens is an important step in learning to control their incidence in dairy processing environments.
An Analytical Method to Investigate Propagation Properties of Magnetostatic Biased Graphene Layers

The transmission and reflection properties of magnetostatic biased graphene layers are investigated based on analytical method, where graphene is treated as a bulk material. Considering the anisotropic nature of the magnetostatic biased graphene (magnetized graphene), the generalized reflection and transmission coefficients of a plane wave incidence on anisotropic multilayer structures are first derived. The accuracy of this method is validated by a numerical example of a plane wave incidence on a magnetized monolayer graphene in free space. Based on this model, the transmission coefficient decreases with increasing the incident angle for the TE (transverse electric) polarized wave incidence, while an opposite phenomenon occurs for the TM (transverse magnetic) polarized wave incidence. The transmission properties can be also modulated by changing the external static magnetic field. The electromagnetic propagation properties of composites consisting of magnetized graphene and dielectric layers are also analyzed based on this method. The transmission properties degrade with increasing the number of magnetized graphene layers.
Estimation of the Microbiological Quality of Meat Using Rapid and Non-Invasive Spectroscopic Sensors

Spectroscopic methods in tandem with machine learning methodologies have attracted considerable research interest for the estimation of food quality. The objective of this study was the evaluation of Fourier transform infrared (FTIR) spectroscopy and multispectral imaging (MSI) coupled with appropriate machine learning regression algorithms for assessing meat microbiological quality. For this purpose, minced pork patties were stored aerobically and under modified atmosphere packaging (MAP) conditions, at isothermal and dynamic temperature conditions. At regular time intervals during storage, samples were subjected to (i) microbiological analysis, (ii) FTIR measurements and (iii) MSI acquisition. The collected FTIR data were processed by feature extraction methods to reduce dimensionality, and subsequently Support Vector Machines (SVM) regression models were trained using spectral features (FTIR and MSI) to estimate microbiological quality of meat (microbial population). The regression models were evaluated with different experimental replicates using distinct meat batches. The performance of the models was evaluated in terms of correlation coefficient (r), root mean square error (RMSE), mean absolute error (MAE) and residual prediction deviation (RPD). The RMSE values for the microbial population estimation models using FTIR were 1.268 and 1.024 for aerobic and MAP storage, respectively. The performance in terms of RMSE for the MSI-based models was 1.144 for aerobic and 0.923 for MAP storage, while the combination of FTIR and MSI spectra resulted in models with RMSE equal to 1.146 for aerobic and 0.886 for MAP storage. The experimental results demonstrated the potential of estimating the microbiological quality of minced pork meat from spectroscopic data.
Genotypic Differences in the Leaf Emergence Rate of Young Peach Trees

Leaf emergence was studied on main and first-order shoots of peach and nectarine (Prunus persica (L.) Batsch. ) trees belonging to nine standard cultivars, during their first growing season. The number of emerged leaves was recorded on main shoots (originating from the grafted buds) and on first-order shoots (inserted directly on main shoots). Similarly shaped leaf emergence curves were observed on main and first-order shoots for all the cultivars. Leaf emergence rate decreased gradually as the number of leaves increased. The number of emerged leaves could be modeled as a monomolecular function of accumulated thermal units. Significant differences were found between cultivars in a multiple analysis of variance of the model parameters, for main and first-order shoots. The ranking of the cultivars was similar for both types of shoots. Leaf emergence rate was lower on first-order shoots than on main shoots. Differentiating between shoot types is necessary for a reliable comparison of genotypes. Leaf emergence observation is useful to quantify growth and development. Leaf emergence is a component of the dynamics of leaf area and therefore of plant growth. The number of leaves is also an indirect count of the number of metamers (set of node, internode, leaf, and axillary bud, as defined by White, 1979). As such, it may be used to characterize development stages (Snyder
Effects of monensin and increasing dose levels of a mixture of essential oil compounds on intake, digestion and growth performance of beef cattle

Two experiments were conducted with beef cattle to evaluate the effects of dietary addition of monensin (Rumensin® premix, MO) and different doses of a mixture of essential oils (Vertan®; EO) on feed intake, growth performance and feed efficiency (exp. 1), nutrient digestibility and N retention (exp. 2). In exp. 1, 20 steers and 20 heifers (Angus × Hereford, initial BW = 369 ± 10 kg) used in a random block design were fed a total mixed ration (TMR) without supplementation (control, CO), or supplemented with MO (33 mg kg DM-1) or EO (2 and 4 g d-1). In exp. 2, five steers (Angus × Hereford, initial BW = 244 ± 4 kg) used in a 5 × 5 Latin square design were fed CO, MO (33 mg kg DM-1), or EO (2, 3, and 4 g d-1). In exp. 1, DM intake was not affected (P > 0.05) by the addition of EO, but it was 10% lower (P 0.05) between cattle fed CO and those fed MO or EO. Feed efficiency (ADG to DM intake ratio) was not affected .
Influence of Electrodes Shape on Electrical Impedance Registration in Solving Bionic Control Problems

The choice of electrodes for neuromuscular activity signals registration is crucial to providing convenient and accurate control of bionic devices. This paper assesses the influence of the electrodes shape and size choice on the calculated value of the electrical impedance signal, which is gaining popularity in neuromuscular interface modules implementation. To analyze signal changes a physical model based on the finite element method was developed with the use of flat circular, flat elliptical and hemispherical electrodes. Physical modeling was also performed to determine the displacement depth for different electrode shapes with the same pressing force applied. As the result recommendations on the choice of the electrodes geometry were made taking into account affecting pressing force in the electrical impedance registration. As the result of study flat circular electrodes showed the smallest deviation of modeled electrical impedance value from analytical in the widest range of sizes. That implies the preference for using flat circular electrodes.
Microbial production of lactic acid by using crude glycerol from biodiesel.

Biodiesel derived raw glycerol represent a copious and inexpensive source which can be used as raw material for lactic acid conversion. Lactobacillus delbrueckii strain when grown with 20 g raw glycerol l-1, produced 4.37 g lactic acid l-1 after 2 days and Lactococcus lactis subsp.la strain with pure glycerol produced 2.26 g lactic acid l-1 Keywords : Biodiesel, crude glycerol, lactic acid.
Memtransistors Based on Non-Layered In2S3 Two-Dimensional Thin Films With Optical-Modulated Multilevel Resistance States and Gate-Tunable Artificial Synaptic Plasticity

Memtransistor, a hybrid structure that integrates the function of memristor and transistor, is a promising device prototype for the realization of complex neuromorphic learning owing to its diverse functionality and additional flexibility in emulating synaptic behaviors. Memtransistor of two-dimensional (2D) chalcogenide materials have received many interests as it has distinctive memristive mechanism quite different from conventional oxide memristors. Here, we report a memtransistor based on the two-dimensional thin films (2DTFs) of non-layered <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula>-In<sub>2</sub>S<sub>3</sub>. The In<sub>2</sub>S<sub>3</sub> 2DTFs grown by physical vapor deposition method have microscopically visible grain boundaries (GBs) formed by the stacking and interconnecting of 2D In<sub>2</sub>S<sub>3</sub> flakes. The memtransistors of In<sub>2</sub>S<sub>3</sub> 2DTFs show tunable bipolar resistive states with resistance ratio up to 10<sup>5</sup>, endurance over 200 cycles, and a retention time of 10<sup>4</sup> s. Illumination of laser light from visible and near-infrared are able to induce intermediate resistance states in memtransistors, enabling optical-modulated multilevel memory storage. Also, the memtransistors are able to emulate the synaptic function of long-term potentiation (LTP) and long-term depression (LTD) with tunable synaptic weight in response to presynaptic stimuli of drain/gate pulses. Interestingly, the plasticity of LTP and LTD behavior can be switched in a highly tunable manner by simply varying the gate voltages. The diverse optoelectronic properties and controllable functionality of memtransistors based on the emerging 2D In<sub>2</sub>S<sub>3</sub> offer a useful guide to potential application in electronic memory and artificial synapses
TermBall: Tracking and Predicting Evolution Types of Research Topics by Using Knowledge Structures in Scholarly Big Data

The exponential growth in the number of publications and the prevalence of interdisciplinary research in recent years call for new approaches for analyzing how topics in science are evolving at large. This paper proposes TermBall, a framework that tracks and predicts fine-grained topic evolution in terms of the evolution types: emergence, growth, shrinkage, survival, merging, splitting, and dissolution. TermBall builds the knowledge structure, which is a weighted dynamic network of co-occurring keywords in the literature, and then discovers key topic structures that consist of keywords and their relationships by performing community detection methods. Based on the topic structures, TermBall provides two applications: (1) Retrospective application to identify topic evolution in the past and (2) Predictive application to forecast upcoming topic evolution type based on the structural and temporal features of the topic structures. For the evaluation, we built the knowledge structure by applying TermBall to 19 million articles in PubMed that were published from 1980 to 2014. We conducted qualitative analysis on the derived topic evolution types and quantitative analysis on the prediction results. As a result, our qualitative analysis reveals that TermBall is able to find various topic evolution types from the knowledge structure and also can predict how topics will evolve after five years with an accuracy of 83%.
Segmentation of 2D Echocardiography Images using Residual Blocks in U-Net Architectures

In this paper, we analyze the results of automatic contouring of the left cardiac structures using deep learning UNet architectures. We use the Cardiac Acquisitions for Multi-structure Ultrasound Segmentation (CAMUS) fully-annotated dataset which contains of the left inner cardiac regions (left ventricle (LV) and left atrium (LA)) with two and four-chamber views of 500 patients. The public-available dataset contains images of 450 patients which was divided into 9 folds with 50 patients each based on image quality and ejection fraction (EF) value. 8 folds were used for training models while the last one for their validation. Every fold was used as validation one in 9 independent models of each architecture and the final result is the mean Dice value of those models. The best contours identification accuracy by the Dice coefficient of the LV endocardium, LV epicardium and LA on validation subsample among our trained models was obtained with U-Net ResNet34 architecture: 0.9348, 0.9459, 0.9038. Those scores show that U-Net architectures with residual blocks achieve better results than U-Net architectures without additional skip-connections.
An Evaluation of the Proportional Fair Scheduler in a Physically Deployed LTE-A Network

The Proportional Fair (PF) scheduler has been extensively studied in wireless communications research. Most of the research done, however, focuses on theoretical or simplistic simulations. In this paper, both theory and practical measurements for a PF scheduler are studied. Two data collections are conducted to verify the performance of the scheduler in an actual LTE-A network (small cells) environment. Allocated Physical Resource Blocks (PRBs) and throughput of each phone used in the data collection are estimated. Three different types of PF schedulers are implemented to predict user throughput. The results show that the scheduler maintains good fairness for both user throughputs and PRB allocation. Further it is shown that our results, derived from actual recorded data are different from those derived from simulation models presented in the literature [1] [2]. Similarly, the cell throughput and fairness values are dynamic and randomly distributed with the time in an actual LTE-A network in contrast to simulation models. From our study, we show that the generalize PF Scheduler performs more accurately to predict the user throughput values. It is concluded that this real-world LTE-A network study is more meaningful and valuable in enhancing the understanding of actual 4G and future 5G networks.
Genetics of Lint Yield, Boll Weight, Boll Number and Seed Index in Gossypium Hirsutum

A study to obtain information on different generations of an intervarietal cross (CL20X H14) in cotton on the genetics of yield of cotton per plant, boll weight, boll number and seed index was conducted. Three designs of mating as suggested by Comstock and Robinson (1952) and analysis of generations means (Hayman, 1958), was used for the genetic analysis. The two parents and their F1, F2, backcrosses, F3 progenies of the three designs and F3 progenies from F2 plants used in crosses were examined.
50W C-Band GaN MMIC Power Amplifier Design

This paper presents a 50W C-Band GaN MMIC Power Amplifier using 0.25 µm GaN/AlGaN HEMT based process from United Monolithic Semiconductor (UMS). It is a 2-stage circuit which achieves a power level greater than 48 dBm over 400MHz bandwidth centered around 5.35 GHz with a large signal gain of 25dB. The amplifier has been designed for high efficiency by optimizing fundamental and harmonic impedances and ensuring low loss matching networks. The simulated efficiency of the amplifier is 48 – 53 % over the band. The circuit core occupies a small area of 26.8mm2 (4.7mm X 5.7mm). The power density over the full chip area is 2.57 Watt/mm2. Further, the design satisfies the de-rating condition essential for space applications.