Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolation of Surfactants Synthesized by the Pseudomonas Bacteria and Study of Their Properties

Background. The important problem of biosurfactants production is biosynthesis optimization. But lack of effective isolation methods elaboration with simultaneous new costeffective products is the greatest weaknesses of existing technologies. Objective. The aim of the study is rational technology elaboration for isolation of biosurfactants obtained from strains Pseudomonas sp. PS-17 and P. fluorescens 8573. Investigation of the influence of different acids and temperatures on the efficiency of isolation of the surfactant products, study the properties of the obtained products. Determination of the possible directions of the use of supernatant obtained after precipitation of the biocomplexes (SPL) as a new inexpensive product. Methods. Rhamnolipid surfactant concentrate was precipitated from culture liquid supernatant (CLS) by acidification to pH 3-4 with acid solutions (HCl, H 2 SO 4 , H 3 PO 4 , HNO 3 , CH 3 COOH), kept at 100 °C for 25 min, cooled to room temperature, centrifuged before the phase separation, the supernatant was decanted. The surface tension of the SPL was determined by du Nouy method (with a platinum ring). The emulsification index of biosurfactants was determined regarding mineral oil and sunflower oil. The RLs were isolated from the SPL by extraction with a mixture of ethyl acetate and isopropanol, their composition was determined by thin layer chromatography. Influence on plants was assessed by their morphometric parameters after presowing seed treatment. Results. The rational technology for surfactants isolation from strains Pseudomonas sp. PS-17 and P. fluorescens 8573 was developed It was shown that the suitable method of the isolation of the biosurfactants of Pseudomonas sp. PS-17 and P. fluorescens 8573 is acidic precipitation from CLS with heating. As a result, the product yield was increased by 20%, and the duration of the process was reduced. The physico-chemical properties of the SPLs after the isolation of biosurfactants from the CLS were studied. SPLs have been shown to be effective oil emulsifiers, foaming and wetting agents for various surfaces. It was shown that SPLs (at dilutions 1:10) do not exhibit phytotoxic effects and stimulate the growth of watercress. Conclusions. The new wasteless technology for Pseudomonas strains biosurfactants isolation has been proposed, which provides for the elimination of the extraction stage with solvents, as a result, the yield of the target products has been increased. Thus, the technology has economic and environmental advantages. It was shown that SPLs, being inexpensive and effective products, can be used in environmentally friendly technologies: in agriculture (for stimulation of plant growth), for remеdiation of contaminated soils, production of detergent compositions.
Pool of Biological Resources for Potential Applications in Solid State Fermentation Obtained from a Forest Plantation of Pinus pseudostrobus Lindl, Mexico

A forest plantation, product of the reforestation of pine trees, represented a pool of biological resources for the implementation of a solid state fermentation process. The trees were identified as Pinus pseudostrobus Lindl from which lignocellulosic material in the form of pine needles was collected. Soil fungi, responsible for plant litter decomposition, were cultured at laboratory conditions and tested for their ability to grow on cellulose and hemicellulose as the sole carbon sources. A fungal strain, belonging to the genus Penicillium, was selected for growing it on pine needles as the substrate in a solid state culture. After following the culture for six days, the newly isolated strain exhibited a much higher capacity for spore production and holocellulose degradation, compared to a purchased strain of Penicillium chrysogenum and two control conditions. This work marks the beginning of future studies focused on commercial applications and represents the first report of a biotechnological process based on pine needles and their degradation by an ascomycetes species belonging to the genus Penicillium.
Adaptive Control Strategy for Time-Varying Power System Based on Continuous Markov Model

Abstract Concerning the variation of power system operating condition caused by time-varying factors such as wind generator output power fluctuation and load change, an adaptive control strategy for time-varying power system based on continuous Markov model is proposed in this paper. First, the Lyapunov functional containing the continuous Markov time-varying power system model is constructed, and the robust stochastic stability theorem with H∞ norm bound γ is derived using the Dynkin lemma. On this basis, according to the Schur complement theorem, the robust stochastic stability LMI (linear matrix inequality) which satisfies the disturbance attenuation degree γ and the minimum variance constraint is derived considering the system operating conditions steady-state variance constraint. And then, through transforming the LMI to the minimization problem of linear objective function, the matching controller of each operating condition is solved. Finally, the stochastic gradient method is used to identify the system operating condition and determine the weighting coefficient of each controller, thus the adaptive control strategy is established. Time-domain simulation tests show that, the proposed control strategy could effectively suppress cascading disturbances as well as avoid the problem of mismatch between current operating condition and the fixed fault set. Besides, the impact on power system caused by controller switching is reduced.
Terahertz Hyper-Raman Time-Domain Spectroscopy

A new spectroscopic method has been demonstrated on the benchmark crystal α-SiO2. The new technique makes use of femtosecond optical pulses and intense, sub-ps, broadband terahertz (THz) pulses to generate a THz-optical four wave mixing in the investigated material. The spectrum of the generated signal is resolved in wavelength and displays two pronounced frequency sidebands close to the optical second harmonic central frequency 2ωL, where ωL is the optical central frequency of the fundamental beam. The two sidebands develop around the central frequency at the (anti-) Stokes side of ωs;a = 2ωL ∓ ωT, where ωT is the THz central frequency, thus resembling the spectrum of standard hyper-Raman scattering, and hence, we named this effect “THz Hyper-Raman”—THYR. Due to the large laser and THz bandwidths, it is not possible to resolve the THYR signal in the frequency domain. Nonetheless, by taking advantage of the same principle at work in THz time-domain spectroscopy, it is possible to follow the evolution of t.
Picking Robot Visual Servo Control Based on Modified Fuzzy Neural Network Sliding Mode Algorithms

Through an analysis of the kinematics and dynamics relations between the target positioning of manipulator joint angles of an apple-picking robot, the sliding-mode control (SMC) method is introduced into robot servo control according to the characteristics of servo control. However, the biggest problem of the sliding-mode variable structure control is chattering, and the speed, inertia, acceleration, switching surface, and other factors are also considered when approaching the sliding die surface. Meanwhile, neural network has the characteristics of approaching non-linear function and not depending on the mechanism model of the system. Therefore, the fuzzy neural network control algorithm can effectively solve the chattering problem caused by the variable structure of the sliding mode and improve the dynamic and static performances of the control system. The comparison experiment is carried out through the application of the PID algorithm, the sliding mode control algorithm, and the improved fuzzy neural network sliding mode control algorithm on the picking robot system in the laboratory environment. The result verified that the intelligent algorithm can reduce the complexity of parameter adjustments and improve the control accuracy to a certain extent.
The Rubens morph of Formica exsecta Nylander, 1846 and its separation from Formica fennica Seifert, 2000 (Hymenoptera, Formicidae)

A study of numeric morphology-based alpha-taxonomy (NUMOBAT) considering the species Formicaexsecta Nylander, 1846 and F.fennica Seifert, 2000 was performed in 166 nest samples with 485 worker individuals originating from 117 localities of the Palaearctic west of 59°E. The presence of intraspecific pilosity dimorphism is shown for F.exsecta. The setae-reduced phenotype, termed the Rubens morph, shows a frequency of about 25%, and the more abundant setae-rich phenotype, termed the Normal morph, one of 75%. The frequency of nests containing workers of both phenotypes is 15.5% in 58 samples from Denmark, Sweden, and Finland. Applying the DIMORPH test of Seifert (2016) on this territory, it is demonstrated that the association of Rubens and Normal phenotypes within the same nest cannot be interpreted as parabiosis of independent species (p=0.017) or as temporary (p=0.0004) and permanent (p=0.0001) socially parasitic association, whereas genetically mediated intraspecific dimorphism is most likely (p=0.659, all p data according to Fisher’s exact test). The Rubens morph of F.exsecta is phenotypically most similar to F.fennica but is safely separable by four different forms of exploratory data analyses using nest centroids (NC) as input data: NC-Ward, NC-part.hclust, NC-part.kmeans, and NC-NMDS-k-means. Data on zoogeography and the narrow climate niche indicate that F.fennica is unlikely to occur in Norway.
Wind speed forecasting using neural networks

The prediction of wind speed is critical in the assessment of feasibility of a potential wind turbine site. This work presents a study on prediction of wind speed using artificial neural networks. Two variations of artificial neural networks, namely, nonlinear autoregressive neural network and nonlinear autoregressive neural network with exogenous inputs, were used to predict wind speed utilizing 1 year of hourly weather data from four locations around the United States to train, validate, and test these networks. This study optimized both neural network configurations and it demonstrated that both models were suitable for wind speed prediction. Both models outperformed persistence model (with a factor of about 2 to 10 in root mean square error ratio). Both artificial neural network models were implemented for single-step and multi-step-ahead prediction of wind speed for all four locations and results were compared. Nonlinear autoregressive neural network with exogenous inputs model gave better prediction performance than nonlinear autoregressive model and the difference was statistically significant.
Spatial Resolution in GNSS-R Under Coherent Scattering

Global Navigation Satellite Systems Reflectometry can be understood as a multistatic radar using satellite navigation signals as signals of opportunity. The scattered signals over sea ice, flooded areas, even under dense vegetation, and in some cases, over land show a significant coherent component. Under coherent scattering conditions, it is usually stated that the coherent signal component comes from an area equal to the first Fresnel zone. This letter analyzes in more detail the spatial resolution in this forward scattering configuration, showing that, when coherent scattering is nonnegligible, the spatial resolution is mostly determined by the geometry and not by typical surface roughness values. As the scattering area around the specular reflection point increases and encompasses the first Fresnel zone, the received power increases and then it fluctuates as higher order Fresnel zones are included (rapid phase changes due to the spherical waves). These contributions may explain in part the large scattering encountered over inhomogeneous land regions, as these different contributions add or subtract, depending on the phase of the electric field, and are weighted by different scattering coefficients (i.e., changes in the dielectric constant and/or surface roughness, such in water ponds or some agricultural fields). Finally, over homogeneous targets, when all Fresnel zones are included, the received power tends asymptotically to the value obtained using the free-space propagation with a total path length equal to the sum of the path lengths, weighted by the reflection coefficient. This value can also be interpreted as coming from an effective region that is actually ~0.6 times the first Fresnel zone.
Antimicrobial activity of oil extracted from Rana tigerina skin and its impact on gelatin-based film

Oil from the Asian bullfrog ( Rana tigerina ) skin (FSO) was extracted and evaluated for its antibacterial activities against food-borne pathogenic bacteria. The FSO showed inhibitory activities on both Gram +ve ( Bacillus cereus , Staphylococcus aureus , Listeria monocytogenes ) and Gram -ve ( Escherichia coli , Salmonella Typhimurium and Vibrio cholera ) bacteria with minimum inhibitory concentrations (MIC) ranged from 0.059-0.469 mg/mL; on the other hand, those bacteria could not be inhibited by palm oil. Gelatin film solutions emulsified with FSO (FSOS) or palm oil (POS) were tested for antimicrobial activity. The result showed that emulsion system of FSOS had impact on inhibitory activity. FSOS exhibited the higher activity with the lower MIC (p<0.05), compared to that of FSO. However, MIC obtained from FSOS increased for S. aureus and S. Typhimurium. This might indicate the loss of antimicrobial availability of FSO when incorporated with gelatin film solution. Characteristics of the FSO emulsion gelatin-based film (FSOF) were evaluated in comparison with those of palm oil emulsion film (POF). FSOF showed the higher intense of yellow color, compared with those of POF (p<0.05). Two different assays, suspension culture medium (SCM) and disk-diffusion (DD) assays, were conducted to determine the antimicrobial activity of FSOF and POF. Based on SCM method, FSOF showed the potential on microbial growth inhibition against all bacterial tested by decreasing the bacterial count number. Nevertheless, there was no inhibition zone detected, when DD was applied. These could be accounted that the oil might be trapped in the film matrix and limited the release of the oil into agar. Therefore, the oil extracted from R. tigerina skin could be an excellent natural alternative antimicrobial agent against both Gram +ve and Gram -ve bacteria, which could be develop and use as antimicrobial film packaging.
Visual hashing of digital video: applications and techniques

This paper present the concept of robust video hashing as a tool for video identification. We present considerations and a technique for (i) extracting essential perceptual features from a moving image sequences and (ii) for identifying any sufficiently long unknown video segment by efficiently matching the hash value of the short segment with a large database of pre-computed hash values.
FPGA-Based True Random Number Generation Using Programmable Delays in Oscillator-Rings

True random number generators (TRNGs) play a fundamental role in cryptographic systems. This brief presents a new and efficient method to generate true random numbers on field programmable gate array (FPGA) by utilizing the random jitter of free-running oscillators as a source of randomness. The free-running oscillator rings incorporate programmable delay lines (PDLs) to generate large variation of the oscillations and to introduce jitter in the generated ring oscillators clocks. The main advantage of the proposed TRNG utilizing PDLs is to reduce correlation between several equal length oscillator rings, and thus improve the randomness qualities. In addition, a Von Neumann corrector as post-processor is employed to remove any bias in the output bit sequence. The validation of the proposed approach is demonstrated on Xilinx Spartan-3A FPGAs. The proposed TRNG occupies 528 slices, achieves 6 Mb/s throughput with 0.999 per bit entropy rate, and passes all the national institute of standards and technology (NIST) statistical tests.
Formal Verification Toolkit for Requirements and Early Design Stages

Efficient flight software development from natural language requirements needs an effective way to test designs earlier in the software design cycle. A method to automatically derive logical safety constraints and the design state space from natural language requirements is described. The constraints can then be checked using a logical consistency checker and also be used in a symbolic model checker to verify the early design of the system. This method was used to verify a hybrid control design for the suit ports on NASA Johnson Space Center's Space Exploration Vehicle against safety requirements.
The Prediction Research of Population Density Based on Deep Learning in Grain Stored Insects

Precision of pests, in stored grain insect population density, has been a hot and difficult research in pest detection and control system. The accuracy of prediction of pest density will directly affect to warehouse grain temperature and the food quality etc. In order to improve the accuracy, the paper which using the depth study method, established an insects density prediction mode with the depth of the belief network as the core. The model is applied to the algorithm of deep learning predictive control. According to the temperature and humidity of the grain obtained from the actual measurement and the initial density of the pest, we predicted the pest density. Simulation results show that the root mean square error is small between the predictive value and actual value, high prediction accuracy. The deep learning algorithm is applied to the population density of pests is effective.
Characterization of the untranslated region of lymphocytic choriomeningitis virus S segment

Lymphocytic choriomeningitis virus (LCMV) is a prototypic arenavirus. The viral genome consists of two RNA segments, L and S. The 5’- and 3’-termini of both L and S segments are highly conserved among arenaviruses. These regions consist of 19 complementary base pairs and are essential for viral genome replication and transcription. In addition to these 19 nucleotides in the 5’- and 3’-termini, there are untranslated regions (UTRs) composed of 58 and 41 nucleotide residues in the 5’ and 3’ UTRs, respectively, in the LCMV S segment. Their functional roles, however, have yet to be elucidated. In this study, a reverse genetics and a minigenome system for the LCMV strain WE were established and used to analyze the function of these regions. The results obtained from these analyses, plus RNA secondary structure prediction, revealed that not only these 19 nucleotides but also the 20th–40th and 20th–38th nucleotides located downstream of the 19 nucleotides in the 5’- and 3’-termini, respectively, are heavily involved in viral genome replication and transcription. Furthermore, the introduction of mutations in these regions depressed viral propagation in vitro and enhanced attenuation in vivo. Conversely, recombinant LCMVs (rLCMVs), which had various deletions in the other UTRs, propagated as well as wild-type LCMV in vitro but were attenuated in vivo. Most mice previously infected with rLCMVs with mutated UTRs, when further infected with a lethal dose of wild-type LCMV, survived. These results suggest that rLCMVs with mutated UTRs could be candidates for an LCMV vaccine. IMPORTANCE The function of untranslated regions (UTRs) of the arenavirus genome has not well been studied except for the 19 nucleotides of the 5’- and 3’-termini. In this study the function of the UTRs of the LCMV S segment was analyzed. It was found that not only the 19 nucleotides of the 5’- and 3’-termini but also the 20th–40th and 20th–38th nucleotides located downstream of the 19 nucleotides in the 5’- and 3’-termini, respectively, were involved in viral genome replication and transcription. Furthermore, other UTRs in the S segment were involved in virulence in vivo. The introduction of mutations to these regions makes it possible to establish attenuated LCMV and potentially develop LCMV vaccine candidates.
A Low-Complexity Linear Precoding for MIMO Channels With Finite Constellation Inputs

This letter investigates linear precoding scheme that maximizes the mutual information (MI) of multiple-input multiple-output (MIMO) channel with arbitrary input constellations. Since traditional precoding schemes which rely on the relationship between MI and minimum mean-square error (MMSE) are too time consuming, this letter first proposes a lower bound of MI with which the computational complexity can be significantly reduced compared with direct computation of MI, and we prove that the bound is asymptotically optimal with a constant shift. Based on this lower bound, a low-complexity precoding scheme is obtained. Numerical results verify the effectiveness and high-performance of the proposed precoding method compared with traditional precoding schemes.
‘Gaps, mishaps and overlaps’. Nursing documentation: How does it affect care?

Complete, accurate and relevant nursing documentation is essential for the multidisciplinary comprehensive geriatric assessment (CGA) process which can improve older patients’ outcomes following a hospital admission. Our aim is to understand older person nurses’ experiences of and attitudes to documentation, via semi-structured, in-depth interviews of eight qualified nurses at an acute hospital trust. Interviews were analysed using the framework approach to identify key themes. Three overarching themes were identified: gaps, mishaps and overlaps. Gaps refer to information which was missing, inaccurate or inconsistent; mishaps refer to the consequences of these inaccuracies and inconsistencies; and overlaps refer to the problem of duplications in recording of information. Older person nurses report many inconsistencies, omissions and duplications in their documentation. This has implications for how nursing contributes to the CGA and the quality of care of older patients. New ways must be found to minimise and streamline existing documentation to ensure that records are complete, timely and person-centred. Nurses should be mindful that emerging digital technology systems do not create further problems. Ward nurses need to take greater control of development of documentation.
THE CHANGES OF WOMEN’S IMAGE REPRESENTED BY SNOW WHITE CHARACTER IN MIRROR MIRROR MOVIE

Nowadays, movie becomes one of favorite entertainmentsamong people.Not only for entertainment, movie can be the media to explore idea, opinion, and knowledge. There are a lot of genres in movie, for example drama, thriller,action, etc. Some of the exist movie, there is a fairytale or fiction story. Fairy talestories usually tells about prince and princess. Nevertheless, modernfairytale portrayed female domination in the story. The writer conducts a studyabout the changes of gender role as reflected in the movie Mirror Mirror . There is a problem to be solved, which is how Snow White as the main character in the movie changes the women image and gender role. As a comparative, the writer uses Snow White and the Seven Dwarfs movie. This study uses qualitative approach in relation to analyze the object material.To figure out the research question, the writer uses Gender Studies whichemploys three concepts, they are Traditional Gender Role, Patriarchal, and Gender Equalit This study uncovers Snow White experience in the changing of gender role and the image of woman. The result showsthat there is a changing of women image represent by Snow White in Mirror Mirror movie. Women in Mirror Mirror are no longer images as weak character. They now images as strong and brave character. It is recommended to do a further research in order to acquire new knowledge from this movie. The suggestion for the next researchersis that they can use Marxist theory from the capitalist point of view in analyzing this movie. It is to analyze how the power of authority can involve the gender function in society. Keywords : gender role, women image