Miracle-dz/UniFAR-FTUs huggingface dataset:
Pokročilé metody analýz a modelování v podnikatelství a veřejné správě

Adaptace byla provedena na přani Poradenskeho centra Alfons, ICV VUT v Brně za ucelem zpřistupněni studijni literatury studentům se specifickými potřebami Vysokeho uceni technickeho v Brně. Adaptovaný titul je proto soucasti fondu Digitalni knihovny Ustředni knihovny VUT v Brně a poskytnut třetim stranam smi být pouze se souhlasem Poradenskeho centra Alfons. Uživatel tohoto dokumentu jej smi využit výhradně pro svou vlastni potřebu a nesmi jej jakkoli množit a dale siřit. Nakladani s adaptovanou studijni literaturou je vazano dle zakona c. 121/2000 Sb. autorskými pravy, jejichž poruseni je trestne.
Tracking Library for the Web

In this dissertation, I designed and implemented a tracking library for the web aiming to provide a common infrastructure to develop applications and to accelerate the use of those techniques on the web in commercial products. It runs on native web browsers without requiring third-party plugins installation. This involves the use of several modern browser specifications as well as implementation of different computer vision algorithms and techniques into the browser environment. Between the several techniques available there are algorithms that can be used for different applications, such as, detect faces, identify objects and colors and track moving objects. The source language of the library is JavaScript that is the language interpreted by all modern browsers. The majority of interpreted languages have limited computational power when compared to compiled languages, such as C. The computational complexity involved in visual tracking requires highly optimized implementations. Some optimizations are discussed and implemented on this work in order to achieve good results when compared with similar implementations in compiled languages. A series of evaluation tests were made, to determine how effective these techniques were on the web.
Geomagnetic activity during the Sun-Earth connection events on April 1999 and February 2000

We study two geomagnetic storms: April, 16-17 1999 (peak Dst = -91 nT) and February 10-12 2000 (peak Dst = -131 nT). These two storms were very different in character due to the interplanetary driver: the April 1999 storm was driven by a smooth rotating B z field in a magnetic cloud which produced a very smooth, single-step and monotonic storm; the February 2000 storm was driven by the interaction of two shocks
Risk-Constrained Day-Ahead Scheduling for Concentrating Solar Power Plants With Demand Response Using Info-Gap Theory

The emerging concentrating solar power plant (CSPP) represents one of the promising technologies for promoting solar power applications. In this paper, risk-constrained day-ahead scheduling strategies for a virtual power plant (VPP) integrating a CSPP with some responsive residential and industrial loads are proposed considering the uncertainties from electricity price, thermal production of the solar field of the CSPP, and participation factor of residential demand response. The well-established information gap decision theory (IGDT) is utilized to hedge against the risk caused by these uncertainties. Based on IGDT, both a robust scheduling strategy for the risk-aversion decision maker and an opportunistic scheduling strategy for the opportunity-seeking decision maker are presented for hedging the profit risk of the VPP against variations of electricity price, thermal production, and demand response. Simulation results show that the presented IGDT-based method can act as an effective tool for managing risks from uncertainties, and also demonstrate that the RA VPP should focus more on the thermal production of the CSPP so as to guarantee the desired profit, whereas the OS VPP should pay more attention to the market price so as to achieve a windfall profit.
Turkish Neonatal Society guideline on the management of respiratory distress syndrome and surfactant treatment

Respiratory distress syndrome is the leading cause of respiratory failure in preterm infants. The incidence and severity of respiratory distress syndrome are inversely related to the gestational age of the newborn. The major underlying pathophysiologic mechanisms are surfactant deficiency and anatomic, structural immaturity of the lung. Recent improvements such as antenatal steroid treatment to enhance pulmonary maturity, appropriate resuscitation facilitated by placental transfusion and immediate use of continuous positive airway pressure for alveolar recruitment, early rescue administration of surfactant, ventilation with gentler modes to minimize damage to the immature lungs, and the other supportive therapies have significantly decreased respiratory distress syndrome-related morbidity and mortality. This guideline was addressed to overview the mentioned improvements in order to standardize respiratory distress syndrome management in neonatal intensive care units in Turkey.
Augmented visual feedback in second language learning: Training Japanese post‐alveolar flaps to American English speakers

Recent studies suggest beneficial effects of kinematic feedback in the articulatory training of individuals with speech disorders [Katz et al. (2002)]. To better understand the nature of speech motor learning in healthy individuals, the present study examines how adult monolingual speakers of American English learn to produce a non‐native consonant: The Japanese post‐alveolar flap. Eight participants were randomly assigned to one of two training groups: (1) Conventional L2 training, and (2) conventional L2 training with electromagnetic articulography (EMA)‐based kinematic feedback on tongue tip position. Participants completed three baseline recording sessions, eight training sessions, and two post‐training sessions (four weeks after training). During training, participants practiced a total of 16 disyllabic non‐words containing the post‐alveolar flap in word‐initial or word‐medial position. Participants practiced trained words 20× in blocked fashion, with summarized oral feedback given after every five r.
Diet, physical activity, and behavioural interventions for the treatment of overweight or obesity in children and adolescents.

Data collection and analysis Search methods We performed a systematic literature search in the databases Cochrane Library, MEDLINE, EMBASE, PsycINFO, CINAHL, and LILACS, as well as in the trial registers ClinicalTrials.gov and ICTRP Search Portal. We also checked references of identified trials and systematic reviews. We applied no language restrictions. The date of the last search was March 2015 for all databases.
Alterations in Specific Gravity during the Ripening of Bull Spermatozoa

Summary Determinations of the specific density of spermatozoa in ejaculates collected from normal dairy bulls in regular service were performed by centrifugation in umbradil-methylglucamine-salt solutions of different specific gravities. A negative correlation between the mean specific gravity of the spermatozoa and the frequencies of unripe spermatozoa (having a residual protoplasmic drop) was found, indicating a lower specific gravity in these than in ripe and over-ripe (non-motile) ones. The distribution of the three kinds of spermatozoa between the sedimenting and floating fractions of cells supports this conclusion, and suggests a higher specific density of over-ripe than of ripe spermatozoa. The process of ripening thus implies a continuous rise in density.
Antiviral Effect of Ethanolic Extract of Salvadora Persica (Siwak) on Herpes Simplex Virus Infection.

Aims: To investigate the effect of ethanolic extract of Salvadora Persica extract on HSV–1 infection both in vitro and in vivo in the mouse model system. Materials and methods: Ethanolic extract of Salvadora Persica was used at different concentrations. BHK cells that grown in Eagles medium were used for virus isolation and titration using PFU/ml. The effects of different concentrations of Salvadora Persica on viral growth in BHK cells as well as cytolytic activity of HSV–1 were evaluated at different time post infection. The therapeutic efficacy of Salvadora Persica in vivo was studied in mice. Lesions were scored and viral isolation from infected skin and ganglia was titrated on BHK cells. Results: Salvadora Persica inhibited the replication of HSV–1 in BHK cells as well as the cytolytic activity of cell free virus. Topical application of Salvadora Persica on the skin of mice infected with HSV–1 reduced the development of cutaneous lesions and the viral titers in the skin and ganglia were also reduced. Conclusion: The results of this work may be beneficial for the treatment of recurrent oral herpes infections.
Effects of photodynamic treatment on DNA

A common feature of the photosensitizers in current or proposed use for photodynamic therapy (PDT) is their lipophilicity which promotes their accumulation in cellular membranes. In spite of the absence of observable photosensitizers in the nucleus, photodynamic activation of photosensitizer-loaded cells produces substantial amounts of DNA damage. With either porphyrins or phthalocyanines as photosensitizers, the yield of DNA single-strand breaks plus alkali-labile sites (SSB) is less than that resulting from an equitoxic dose of ionizing radiation; however, these same photodynamic treatments produce high yields of DNA-protein crosslinks (DPC), which are not repaired during post-treatment incubation of the cells, in contrast to the DPC produced by ionizing radiation. Initial yields of DPC after photodynamic treatment of murine lymphoma L5178Y cells sensitized by chloroaluminum phthalocyanine (AlPcCl) are greater in the relatively PDT-sensitive strain LY-R as compared to the relatively PDT-resistant strain LY-S. Photodynamic treatment sensitized either by AlPcCl or by Photofrin II is mutagenic at the thymidine kinase (tk) locus in one or more sub-strains of LY-R and LY-S. With Photofrin II, the induction of mutations has been observed in the tk+/- heterozygous strains LY-R16 and LY-S1, but not in the hemizygous tk+/0 strain LY-R83. This pattern of strain-specific mutagenesis is found for other agents, such a ionizing radiation, which produce a high proportion of multi-locus lesions. With AlPcCl, mutation induction is found in strains LY-S1 and LY-SR1, but not in either of the sub-strains of LY-R. Treatment of strains LY-R and LY-S with identical doses of AlPcCl and red light results in degradation of the DNA, which occurs earlier and to a greater extent in the more PDT-sensitive strain. Examination of the size of the DNA during the period of degradation revealed a series of fragments with sizes which were multiples of approximately 190 bp. This suggests that PDT treatment of L5178Y cells induces the process known as apoptosis, or programmed cell death, in which endonucleolytic scission of the DNA occurs in the internucleosomal linker region. DNA degradation is also stimulated by treatment of murine L929 fibroblasts with phthalocyanine and light but not by gamma- irradiation alone. Combined treatment with a minimally lethal dose of PDT and a dose of gamma-radiation producing 90% cell death results in the induction of a PDT-type cell death in a substantial portion of the cells. When the level of programmed cell death is very high, the recovery of mutants may be compromised. Thus, PDT appears to produce extensive DNA damage, but events at other cellular locations may alter the expression of that damage.
Inline high-bandwidth network analysis using a robust stream clustering algorithm

High-bandwidth network analysis is challenging, resource consuming, and inaccurate due to the high volume, velocity, and variety characteristics of the network traffic. The infinite stream of incoming traffic forms a dynamic environment with unexpected changes, which requires analysing approaches to satisfy the high-bandwidth network processing challenges such as incremental learning, inline processing, and outlier handling. This study proposes an inline high-bandwidth network stream clustering algorithm designed to incrementally mine large amounts of continuously transmitting network traffic when some outliers can be dropped before determining the network traffic behaviour. Maintaining extended-meta-events as abstracting data structures over a sliding window, enriches the algorithm to address the high-bandwidth network processing challenges. Evaluating the algorithm indicates its robustness, efficiency, and accuracy in analysing high-bandwidth networks.
Variables determining the impact of diazinon on aquatic insects: Taxon, developmental stage, and exposure time

Several variables determine the impact of a pesticide onaquatic invertebrates. In this study, aquatic insects weresubjected to the common insecticide diazinon; we analyzed the variables taxon, developmental stage, and exposure time. Effects of diazinon on the caddis fly Hydropsyche angustipennis and the midge Chironomus riparius were determined in the laboratory during different exposure times (48 and 96 h) using mortality, activity, and growth as end points. Last instars of both species displayed a clear behavioral response at concentrations much lower than those affecting survival. Doubling the exposure time from 2 to 4 d decreased survival of midges and caddis flies by a factor 1.4 to 8.4. The 96‐h 50% lethal concentrations were: 1.3 μg/L (first instar of the caddis fly), 29 μg/L (fifth instar of the caddis fly), 23 μg/L (first instar of the midge) and 167 μg/L (fourth instar of the midge). Within the spectrum of tested insects (nine species for which 48‐h 50% lethal concentrations have been reported in the literature), H. angustipennis is the second most sensitive, and C. riparius the most tolerant species. However, the ranking of species strongly depends on the developmental stage; differences between species are often smaller than differences between instars of one species. The large difference in sensitivities between young and old larvae imply that the impact of a pesticide strongly depends on the season of occurrence. Runoff from pesticide applications on crops is more likely to occur in spring and summer and may have a relatively greater impact on insect communities since young larvae prevail in these seasons. In addition, recovery of typical riverine insects such as H. angustipennis from incidental exposure will be slow, considering their relatively long life cycle.
A domain based protein structural modelling platform applied in the analysis of alternative splicing

Functional families (FunFams) are a sub-classification of CATH protein domain superfamilies that cluster relatives likely to have very similar structures and functions. The functional purity of FunFams has been demonstrated by comparing against experimentally determined Enzyme Commission annotations and by checking whether known functional sites coincide with highly conserved residues in the multiple sequence alignments of FunFams. We hypothesised that clustering relatives into FunFams may help in protein structure modelling. In the first work chapter, we demonstrate the structural coherence of domains in FunFams. We then explore the usage of FunFams in protein monomer modelling. The FunFam based protocol produced higher percentages of good models compared to an HHsearch (the state-of-the-art HMM based sequence search tool) based protocol for both close and remote homologs. We developed a modelling pipeline that, utilises the FunFam protocol, and is able to model up to 70% of domain sequences from human and fly genomes. In the second work chapter, we explore the usage of FunFams in protein complex modelling. Our analysis demonstrated that domain-domain interfaces in FunFams tend to be conserved. The FunFam based complex modelling protocol produced significantly more good quality models when compared to a BLAST based protocol and slightly better than a HHsearch based protocol. In the final work chapter, we employ the FunFam based structural modelling tool to understand the implications of alternative splicing. We focused on isoforms derived from mutually exclusively exons (MXEs) for which there is more enriched in proteomics data. MXEs which could be mapped to structure show a significant tendency to be exposed to the solvent, are likely to exhibit a significant change in their physiochemical property and to lie close to a known/predicted functional sites. Our results suggest that MXE events may have a number of important roles in cells generally.
An Efficient Hybrid Self-Learning Intrusion Detection System Based on Neural Networks

An intrusion detection system (IDS) is an immunizing system that identifies the hostile activities in a network, and alerts the network administrator in case of detecting suspicious behaviors. Signature-based systems are the most common methods for intrusion detection, but however, they are not able to detect new attacks on the network. The main problem of these systems is to keep up to date the database of already containing known attack signatures. Neural networks have a high ability to learn and are generalizable. This study present as follow: A new intrusion detection system that is a hybrid of self-organizing map algorithm (SOM), radial basis function (RBF) and perceptron networks is proposed to solve this problem. For the first time, The Imperialist Competitive Algorithm is used to calculate the parameters of the Perceptron neural network. The proposed approach uses a hybrid architecture that tries to increase the quality of warnings. Signature-based systems using this method can detect new attacks as a self-learner. The results indicated better performance of the proposed hybrid algorithm compared to earlier methods.
Immunosuppressive Properties of Infectious Bronchitis Vaccine4/91 strain against different programs and method of vaccination against Newcastle disease in Broilers

Infectious bronchitis virus (IBV) primarily induces a respiratory disease in broilers causing important economic losses in poultry industry. The aim of this study was to investigate the immunosuppressive properties of live IB vaccine on the different programs and method of vaccination against Newcastle disease (ND) in broilers. A total of 125 one-day-old broiler chicks were assigned into five equal groups. At day one G1 and G2groupswere vaccinated with a live (ND, IB)vaccine by dipping the head in the vaccine and intra-cloacae method respectively. Afterward, G3and G4 groups were vaccinated with a live ND vaccine alone by the same method of G1 and G2. At the same time all these4 groups were vaccinated by subcutaneous injection (S/C) with inactivated oil based vaccine ND. The G5 group was left without vaccination as a control group. After that, all treated groups were vaccinated with a live ND by spray method at day 10 of the age. The immunosuppressive effects of this IB virus was evaluated by Haemagglutination inhibition test (HI), and challenged by virulent ND virus. Bursa and Spleen indices were estimated in all groups. The results showed that the antibody titers against ND was higher (P<0.05) in G3and G4 in compared with G1, G2 and control groups at 20 and 30 days of age. However, there was no significant difference of bursa index and spleen index in all groups. Challenge test showed no mortality in the 3 rd group while 10% in the 4 th group, 85% in the 1 st group and 90% in the 2 nd group. In conclusion it’s revealed that the best method and program of vaccination which can protect against ND was applied in the 3 rd group.
Thirty years of in situ tree growth under elevated CO2: a model for future forest responses?

Rising concentrations of atmospheric carbon dioxide have been predicted to stimulate the growth of forest trees. However, long‐term effects on trees growing to maturity and to canopy closure while exposed to elevated CO2 have never been examined. We compared tree ring chronologies of Mediterranean Quercus ilex which have been continuously exposed to elevated CO2 (around 650 μmol mol–1) since they were seedlings, near two separate natural CO2 springs with those from trees at nearby ambient‐CO2‘control’ sites. Trees grown under high CO2 for 30 years (1964–93) showed a 12% greater final radial stem width than those growing at the ambient‐CO2 control sites. However, this stimulation was largely due to responses when trees were young. By the time trees were 25–30 y old the annual difference in tree ring width between low and high CO2 grown trees had disappeared. At any given tree age, elevated CO2 had a relatively greater positive effect on tree ring width in years with a dry spring compared to years with more rainfall between April and May. This indicates a beneficial effect of elevated CO2 on tree water relations under drought stress. Our data suggest that the early regeneration phase of forest stands can be accelerated in CO2‐enriched atmospheres and that maximum biomass per land area may be reached sooner than under lower CO2 concentrations. In our study, high CO2 grown Q. ilex trees reached the same stem basal area at the age of 26 y as control trees at 29 y, i.e. three years earlier (faster turnover of carbon? ). Reliable predictions of the future development of forests need to account for the variable responses of trees over their entire lifetime. Such responses to elevated CO2 can presently only be assessed at such unique field sites.
Unified model for droop control inverters operated in microgrid

Inverter is widely used in microgrids. Inverter’s control strategy plays very important role for its performance and system stability. Several control strategies are proposed, such as droop control, robust droop control and virtual synchronous generator (VSG) control. In microgrid, inverters manufactured by different factories with different control strategies work together. This situation is not good when modelling, analysing and managing microgrid. It naturally rises a question: could these controllers be unified as a unified one? Although some comparisons have been made and proved they have some common characteristics, but there lies no explicit unified controller. In this paper, after investigation of three most common inverter control strategies in microgrid, the unified inverter model is proposed. Simulation results via MATLAB/Simulink software prove that the proposed unified model can be used to represent other three inverters’ controllers. A microgrid scheme is used to explain application of the unified model. This research will benefit the design of inverter control strategy and simplify microgrid modelling.
Deep-learning-based scenario generation strategy considering correlation between multiple wind farms

: It is important to model the future scenarios of wind farm power output in enhancing capability of wind power accommodation and decreasing wind power curtailment. A scenario generation strategy considering the correlation between multiple wind farms is proposed. A convolutional neural network combined with quantile regression technique is introduced to achieve detailed quantiles of corresponding predicted wind power output, which can be regarded as the cumulative distribution function (CDF) by approximation. Marginal conditional probability density function (PDF) for each wind farm can be constructed from the CDF. A copula function-based method is used to form the joint PDF of multiple wind farm power outputs from the marginal PDF constructed before. By inversing the joint PDF, the required scenario set can be formed. In case studies, the proposed strategy is tested with two wind farms data, and the simulation results verify the effectiveness of the proposed strategy.