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1
Content available remote On new Ostrowski type inequalities
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EN
In this short note, some new inequalities of Ostrowski type involving two functions and their derivatives for mapping whose derivations belong to Lp[a,b], p > 1 are established.
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The paper is concerned with the existence of positive solutions for the nonlinear eigenvalue problem with singularity and the superlinear semipositone problem of higher order delay differential equations. The main results are obtained by using Guo-Krasnoselskii's fixed point tbearem In cones. These results extend some of the existing literature.
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Content available remote Generating new styles of Chinese strokes based on statistical model
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Chinese calligraphy is one of the most important Chinese arts: a form of entertainment as well as an embodiment of figurative thinking. In this paper, a statistical model-based approach to generating new styles of Chinese character strokes is proposed. Original calligraphy samples are aligned in a common co-ordinate frame and a training set consisting of landmarks is generated semi-automatically. The most significant features of the training set are extracted and a statistical model is built in order to generate strokes in new styles. The Bezier curve is used to fit the discrete contour data.
EN
The aim of the studies was to develop an alternative method which could overcome the lack of sampling to improve the efficiencx of control efforts for bovine endemic fluorosis. The spatial distribution characteristics of the disease were analysed and a prediction model for the estimation of fluorosis distribution in some districts in northwest Liaoning province in China was established. The model used ordinary kriging, and was evaluated using cross-validation. Analysis showed that the distribution of the disease was spatial autocorrelation. The prediction error of the cross-validation (ME = -0.0092, PMSE = 0.627, AKSE = 0.597, and RMSP = 1.007) and comparison with the actual disease distribution indicated that the prediction map accurately distributed bovine endemic fluorosis. It is feasible to predict bovine endemic fluorosis in the area by using ordinary kriging and limited data.
EN
The regional distribution and driving factors of total carbon emissions have been the focus of considerable research. However, carbon intensity rather than total carbon emissions has been selected as the emissions reduction index in China. The Chinese government has committed to reducing carbon intensity by 60-65% from 2005 levels. Currently, limited academic attention has been given to the regional distribution and driving factors of carbon intensity. To explore the means of achieving the carbon intensity target in China, Gini coefficients were employed in this paper to investigate regional differences in carbon intensity across 30 provinces from 1995 to 2014. Moreover, the FGLS (feasible generalized least squares) method was applied to identify the key influencing factors of carbon intensity at the national and three regional levels. The results indicate that: 1. Chinese inter-provincial Gini coefficients of carbon intensity have increased steadily in recent years, which indicates that the difference in carbon intensity between provinces in China has widened. 2. Economic growth, foreign direct investment, and trade openness were negatively correlated with carbon intensity. Conversely, coal consumption, industrial proportion, and urbanization were positively correlated with carbon intensity. Moreover, urbanization has proven to be the most important factor affecting China’s carbon intensity. 3. The dominant cause of carbon intensity varies by region. In particular, the dominant cause of carbon intensity in low- and medium-level regions is urbanization. However, the dominant cause of carbon intensity in high-level regions is coal consumption. 4. Based on these empirical findings, policy recommendations to reduce carbon intensity were proposed. In summary, the improvement of urbanization quality in both low- and medium-level regions is urgently needed. However, optimizing the energy structure is essential to carbon intensity reduction in high-level regions.
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Content available remote Decomposition and Approximation of Loopy Bayesian Networks
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This paper proposes a new method, conditional probability table (CPT) decomposition, to analyze the independent and deterministic components of CPT. This method can be used to approximate and analyze Baysian networks. The decomposition of Bayesian networks is accomplished by representing CPTs as a linear combination of extreme CPTs, which forms a new framework to conduct inference. Based on this new framework, inference in Bayesian networks can be done by decomposing them into less connected and weighted subnetworks. We can achieve exact inference if the original network is decomposed into singly-connected subnetworks. Besides, approximate inference can be done by discarding the subnetworks with small weights or by a partial decomposition and application of belief propagation (BP) on the still multiply-connected subnetworks. Experiments show that the decomposition-based approximation outperforms BP in most cases.
EN
The exploitation and utilization of mineral resources bring changes of the regional material cycle and energy flow, resulting in degradation and negative evolution of the local ecosystem. Many countries are committed to researching ecological environment issues and have proposed a series of techniques and methods in recent years, but the comprehensive study of mining area ecosystems and restoration modes is not enough. To further clarify the mining area ecosystem and global restoration, this research analyzed the characteristics and functions of the ecosystem in mining areas, explored its evolution principles, types and processes, and put forward four typical ecological restoration modes. The mining area ecosystem features open, artificial and complex characteristics and special energy and material flows. Its functions mainly refer to the input and output of materials, energy, information and stream of people in the internal and external systems. The ecosystem evolution of mining areas consists of negative evolution and positive evolution in arid and semi-arid areas and humid and semi-humid areas. Overall, four typical restoration modes of mining area ecosystems are featured, including land engineering reclamation, soil improvement and vegetation restoration, secondary wetland construction and ecological self-restoration modes.
EN
Subsurface coal mining causes subsidence of day ground below groundwater level. To restore these areas for agriculture, the areas have been or will be filled with waste material. The surface will be covered with one meter of loess. In this research project three different filled areas were analyzed: the first area was filled with wastes from coal mining and coal processing, the second area with ash from coal power plants and a third area with soil only (The soil-filled area was chosen as a standard without contamination from mining power plants). In the site investigations, physical parameters (such as ability of root penetration and conductivity) of the soil were researched. Infiltration and permeability of the soil and its sorption capacity were tested with a Guelph-Permeameter. Samples of soil and plants were taken from the sites and, with in-depth laboratory tests, the contaminant concentrations of plants and soils were determined. The question is whether the agriculture on these restored fields can supply the raw-materials for Chinese foodstuff production. This is the first investigation of possible contamination of plants with heavy metals and other contaminants. To ensure the safety of food, especially the heavy-metals contaminated soils are urged to remediate through stabilization or removal. The aim of this study was to carry out an investigation of the environmental comparability of waste materials from coal mining and coal processing, as well as ash from coal power plants.
PL
Podziemna eksploatacja górnicza powoduje obniżenie się terenu poniżej poziomu wód gruntowych. Aby odzyskać tereny pod uprawy rolnicze, obszary górnicze zostały lub zostaną poddane wypełnieniu (rekultywacji) odpadami kopalnianymi. Powierzchnia terenu zostanie pokryta jednometrową warstwą gleby lessowej. W ramach projektu przeanalizowano trzy różne tereny poddane procesowi wypełniania: pierwszy zawierał odpady z procesu produkcji i przeróbki węgla, drugi popiół z elektrowni węglowej, natomiast trzeci został wypełniony wyłącznie glebą (gleba użyta do wypełnienia została wybrana jako standard bez zanieczyszczeń pochodzących z elektrowni węglowych). W badaniach terenowych sprawdzano parametry fizyczne gleby (zdolność roślin do ukorzenienia i przewodność właściwą). Infiltracja gleby, przepuszczalność i zdolności sorpcyjne sprawdzono przyrządem pomiarowym Guelph-Permeameter. W czasie badań terenowych pobrano próbki gleb i roślin, następnie za pomocą testów laboratoryjnych oznaczono stężenia substancji zanieczyszczających rośliny i gleby. Jednakże, powstaje pytanie, czy działalność rolnicza prowadzona na rekultywowanych terenach może dostarczać bezpiecznych surowców do produkcji żywności w Chinach. Niniejszy projekt jest pierwszym badaniem, dotyczącym zanieczyszczenia roślin metalami ciężkimi i innymi substancjami. Aby zagwarantować bezpieczną żywność, gleby zawierające metale ciężkie muszą być rekultywowane poprzez stabilizację lub usunięcie. Celem niniejszej pracy było ustalenie efektywności środowiskowej (porównywalności ekologicznej) materiału odpadowego z procesu wydobycia i przeróbki węgla z popiołem z procesu spalania węgla w elektrowniach.
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Content available remote Preparation of a Ferroelectric Liquid Crystal Electrolyte Solution
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A ferroelectric liquid crystal was synthesised. We attempted electrochemical polymerisation in ferroelectric liquid crystal.
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Content available remote Teaching Research on Cryptography in Computer Science and Technology Specialty
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With the speeding up of global information pace, the security of network information is becoming an increasingly serious problem. As the related course of information security, cryptography turns into a basic and important course of Computer Science and Technology Specialty in universities. Based on an intensive study of this course, this paper probes into the effective teaching method of cryptography as well as the selection of textbook. The paper begins from designing theoretic and experiment teaching model, and then puts these models into practice. Thirdly, the paper provides corresponding assessment means to these models. Lastly, the paper puts the models into practical teaching and they are turned out to be effective and be of reference value.
PL
W artykule omówiono metody uczenia kryptografii. Przedstawiono teoretyczne i eksperymentalne doświadczenia oraz zaproponowano praktyczne przykłady nauczania kryptografii.
EN
In order to obtain the optimal technological parameters of lettuce vacuum osmotic dehydration, the effects of osmotic temperature, slice thickness, sucrose concentration, and vacuum degree on the vacuum osmotic dehydration were explored. The lettuce water loss rate and solid gain rate decreased with the increase of slice thickness and vacuum degree, and increased with the increase of sucrose concentration and osmotic temperature. Response surface methodology was applied to analyze the infl uence of the four infl uential factors on the evaluated parameters and the optimization of lettuce vacuum osmotic dehydration was studied. The results indicated that, within the experimental scope, the optimized technological parameters of lettuce vacuum osmotic dehydration are the temperature of 28º C, the slice thickness of 2 mm, sucrose concentration of 47%, the vacuum degree of 22 kPa, and the water loss rate and solid gain rate are 72.16% and 11.82%, respectively.
EN
Thaumatin-like protein (TLP) genes constitute a large, highly complex gene family involved in host defense against abiotic stresses, as well as other physiological processes. However, their functions in the abiotic stress-induced defense response in poplar remain largely unknown. In this study, one full-length cDNA from a hybrid poplar (Populus deltoides 9 P. euramericana cv. ‘Nanlin895’) that encodes a TLP was isolated by RACE and designated PeTLP. The deduced amino acid sequence of PeTLP encodes a protein of a predicted molecular mass 24.5 kDa and a pI of 8.19. Transcript of PeTLP accumulated in stems, but the gene showed low transcriptional levels in roots and leaves. PeTLP was upregulated in leaves after abiotic treatments, including 200 mM NaCl, 10 % PEG6000, 100 lM gibberellin, 1 mM salicylic acid and 100 lM abscisic acid. Subcellular localization analysis showed that GFP-tagged PeTLP predominantly localizes as discrete points in the cytoplasm and the periphery of the plasma membrane. Recombinant PeTLP obtained using Escherichia coli expression produced antifungal activities to Rhizopus sp., Aspergillus niger and Penicillium citrinum. These results suggest that PeTLP is an abiotic stresses- induced protein and plays roles in physiological processes of poplar development, and is involved in the defense of poplar against abiotic stresses. Manipulation of PeTLP in poplar or other trees should improve their performance under various abiotic stress conditions.
EN
Cats were injected with 2.4 mg/kg of tiletamine-zolazepam, 0.36 mg/kg of xylazine, and 0.8 mg/kg of tramadol, then blood was collected from their peripheral veins at 0.5, 1, 4, 8, 24, 48, 72, and 168 h after the injection. Before injection, the same cats were used as control group (0 h). Biochemical and haematological parameters were measured. The results revealed that the combination of the compounds produced good immobilisation, with minimal changes over time in biochemical and haematological parameters, which were within biologically acceptable limits.
EN
Tomato (Solanum lycopersicum L.) is one of the world’s most important cultivated vegetable. In the traditional cultivation methods, the excessive use of pesticides and fertilizers leads to an imbalance of nutrient elements in the soil, an increase in pests and diseases and a decrease in vegetable quality and yield. In the face of increasingly serious environmental and food problems, organic agriculture is considered to be an effective solution. In this experiment, the effects of organic cultivation patterns on the growth, quality, disease resistance in tomatoes, and the physical and chemical properties of soil were studied by different treatments. The results showed that the application of effective microorganisms (EM) bio-organic fertilizer in the cultivation process can significantly improve the yield, quality, and antioxidant enzyme activity of tomato. The use of straw mulching was found to significantly increase the growth, chlorophyll content, transpiration rate, and soluble sugar content of tomatoes. The application of EM bio-organic fertilizer or straw mulching significantly increased the activity of antioxidant enzyme and the expression of LeCHI gene in tomato leaves and enhanced tomato resistance to diseases. Organic production practices were found to significantly improve the soil.
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