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Wyświetlanie 1-15 z 383
Tytuł:
Data correction method of the persistent scatterer interferometric synthetic aperture radar technique in landslide surface monitoring
Autorzy:
Xie, Mo-Ewn
Lv, Fu-Xia
Wang, Li-Wei
Powiązania:
https://bibliotekanauki.pl/articles/89050.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
Tematy:
landslide monitoring
PS-InSAR technology
reservoir landslide
error analysis
Opis:
Landslides generally cause more damage than first predicted. Currently, many methods are available for monitoring landslides occurrence. Conventional methods are mainly based on single-point monitoring, which omits the aspect of variation in large-scale landslides. Due to the development of radar satellites, the differential interferometric synthetic aperture radar technique has been widely used for landslide monitoring. In this study, an experimental region in the Wudongde Hydropower Station reservoir area was studied using archived spaceborne synthetic aperture radar (SAR) data collected over many years. As the permanent scatterer interferometric SAR (PS-InSAR) technique is an advanced technology, it could be suitably used to overcome the time discontinuity in long time series. However, the accuracy of date processing obtained using the PS-InSAR technique is lower than that obtained using the single-point monitoring method. The monitoring results of the PS-InSAR technique only demonstrate the moving trend of landslides and do not present the actual displacement. The Advanced Land Observation Satellite and a high-precision total station were used for long-term landslide monitoring of the Jinpingzi landslide at the Wudongde Hydropower Station reservoir area. Based on a relationship analysis between the data obtained using the PS-InSAR technique and the total station, a revised method was proposed to reduce the errors in the PS-InSAR monitoring results. The method can not only enhance the monitoring precision of the PS-InSAR technology but also achieve long-term monitoring of landslide displacement from a bird's-eye view.
Źródło:
Mining Science; 2019, 26; 91-109
2300-9586
2353-5423
Pojawia się w:
Mining Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Convection rolls and individual particles movements in horizontally vibrated granular particles system
Autorzy:
Rehman, A.
Wu, Ping
Li, Li
Zhang, Shiping
Wang, Li
Powiązania:
https://bibliotekanauki.pl/articles/1058505.pdf
Data publikacji:
2016-12
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
45.70.-n
47.57.Gc
47.52.+j
47.57.Qk
83.80.Fg
Opis:
Convection in horizontally vibrated granular systems is significant for scientists and engineers for their importance in the field of mining, geo-physics, and pharmaceutical etc. This research work studied three types of convection rolls, "Homogeneous convection roll", "lower-right diagonal convection roll" and "upper-right diagonal convection roll" which occurred in a square container filled with binary granular particles mixture of sized d=(4.0±0.2) mm and d=(8.0±0.2) mm. Container was vibrated horizontally with low frequencies f and low dimensionless acceleration Γ. Helical movement was observed along the walls perpendicular to direction of motion while straight-line movement along the walls horizontal to direction of motion. Helical and straight-line movements of particles along the walls are the part of convection rolls. A heap appeared due to vibration, which has dominant effect on the convection rolls. Heap position is function of frequency f and dimensionless accelerations Γ.
Źródło:
Acta Physica Polonica A; 2016, 130, 6; 1336-1342
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analytical solution for one-dimensional consolidation of unsaturated soils under dynamic load
Autorzy:
Liu, Zhi-Yi
Song, Yu
Zhou, Feng-Xi
Wang, Li-Ye
Powiązania:
https://bibliotekanauki.pl/articles/2200882.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
unsaturated soil
consolidation characteristic
dynamic load
analytical solution
numerical calculation
Opis:
Firstly, in this paper, based on the theory of the porous elastic medium and combined with the effective stress principle of unsaturated soil, a set of governing equations is established to describe consolidation of the unsaturated soil. Secondly, an analytical expression under any dynamic loads is obtained with the help of Laplace integral transformation. Finally, analysis of numerical examples under specific boundary conditions is made to discuss one-dimensional consolidation characteristics under harmonic loads and the influence of factors on the consolidation characteristics of unsaturated soil, such as excitation frequency and initial saturation.
Źródło:
Journal of Theoretical and Applied Mechanics; 2023, 61, 1; 11--22
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of Preheating Temperature on Microstructure and Optical Properties of ZnO Thin Films Prepared by Sol-Gel Spin Coating Technique
Autorzy:
Ji, Qiang-min
Wang, Ya-li
Gao, Xiao-yong
Gao, Hui
Zhai, Yao-fei
Powiązania:
https://bibliotekanauki.pl/articles/1398971.pdf
Data publikacji:
2016-06
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
78.55.Et
78.55.-m
Opis:
Highly-oriented ZnO thin films prepared by using low-cost technique such as sol-gel technique are of much importance to ZnO-based white light-emitting diodes. The chose of proper preheating temperature in sol-gel technique is still critical for highly-oriented ZnO thin film so far. The mechanisms for the preheating in the formation of ZnO thin film and for the reactions involved in the sol solution have not been clearly stated yet. Thus, in this work, the highly-oriented ZnO thin films were prepared on glass substrates by using sol-gel spin-coating technique. The sol solution was prepared by using the two-step method rather than usual one-step method, which facilitates the understanding of the mechanism for the reactions involved in the sol solution. The effect of the preheating temperature on the microstructure and the optical properties of the films were in particular investigated. The mechanisms for the preheating in the formation of the films and for the reactions involved in the sol solution prepared by the two-step method were also proposed in terms of the experimental results. The preheating not only enhances the volatilization of the solvent 2-methoxyethanol and the decomposition of the residual organic species, but also results into the formation of small number of ZnO particles. The preheating temperature of 300°C is most favorable for the highly-oriented ZnO thin film. Increasing the preheating temperature results into the blue shift of the absorption edges of the films. This can be explained by using the quantum-size effect. The photoluminescence spectra of the films show an UV emission at the near-band edge and a broad green-yellow emission at 470-620 nm. The former is closely related to the excitons, while the latter is to the intrinsic defect species in the film.
Źródło:
Acta Physica Polonica A; 2016, 129, 6; 1191-1196
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Denseformer for single image deraining
Autorzy:
Wang, Tianming
Wang, Kaige
Li, Qing
Powiązania:
https://bibliotekanauki.pl/articles/24987759.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
artificial intelligence
convolutional neural network
image deraining
sztuczna inteligencja
sieć neuronowa konwolucyjna
obraz pojedynczy
Opis:
Image is one of the most important forms of information expression in multimedia. It is the key factor to determine the visual effect of multimedia software. As an image restoration task, image deraining can effectively restore the original information of the image, which is conducive to the downstream task. In recent years, with the development of deep learning technology, CNN and Transformer structures have shone brightly in computer vision. In this paper, we summarize the key to success of these structures in the past, and on this basis, we introduce the concept of a layer aggregation mechanism to describe how to reuse the information of the previous layer to better extract the features of the current layer. Based on this layer aggregation mechanism, we build the rain removal network called DenseformerNet. Our network strengthens feature promotion and encourages feature reuse, allowing better information and gradient flow. Through a large number of experiments, we prove that our model is efficient and effective, and expect to bring some illumination to the future rain removal network.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2023, 33, 4; 651--661
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modified convolutional neural network with global average pooling for intelligent fault diagnosis of industrial gearbox
Diagnostyka błędów przekładni przemysłowych z wykorzystaniem zmodyfikowanej splotowej sieci neuronowej z globalnym uśrednieniem wartości dla poszczególnych kanałów
Autorzy:
Li, Yaxin
Wang, Kesheng
Powiązania:
https://bibliotekanauki.pl/articles/300870.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
modified convolutional neural network
global average pooling
intelligent fault diagnosis
industrial Gearbox
zmodyfikowana splotowa sieć neuronowa
globalne uśrednienie względem kanałów
inteligentna diagnostyka błędów
przekładnia przemysłowa
Opis:
Gearboxes are key transmission components and widely used in various industrial applications. Due to the possible operational conditions, such as varying rotational speeds, long period of heavy loads, etc., gearboxes may easily be prone to failure. Condition Monitoring (CM) has been proved to be an effective methodology to improve the safety and reliability of gearboxes. Deep learning approaches, nowadays, further enable the CM with more powerful capability to exploit faulty information from massive data and make intelligently diagnostic decisions. However, for most of conventional deep learning models, such as Convolutional Neural Network (CNN), a large amount of labelled training data is a prerequisite, while to obtain the labelled data is usually a laborious and time-consuming job and sometimes even unattainable. In this paper, to handle the case of only a limited labelled data is available, a modified convolutional neural network (MCNN) is proposed by integrating global average pooling (GAP) to reduce the number of trainable parameters and simplify the architecture of deep learning model. The proposed MCNN improves the traditional CNN’s ability in fault diagnosis with limited labelled data. Two experimental gearbox datasets are utilized to demonstrate the effectiveness of the proposed MCNN method. Compared with traditional deep learning approaches, namely LSTM, CNN and its variant methods, the experimental results show that the proposed MCNN with higher discrimination and generalization ability in fault classification and diagnostics under the scenario of limited labelled training samples.
Przekładnie stanowią kluczowe elementy układów napędowych i jako takie znajdują szerokie zastosowane w przemyśle. Ze względu na warunki eksploatacji, takie jak różne prędkości obrotowe czy długie okresy pracy pod dużym obciążeniem itp., przekładnie mogą łatwo ulegać uszkodzeniom. Udowodniono, że monitorowanie stanu skutecznie poprawia bezpieczeństwo i niezawodność przekładni. Podejścia oparte na uczeniu głębokim umożliwiają ponadto monitorowanie stanu z większym wykorzystaniem informacji o błędach pochodzących z dużych zbiorów danych i podejmowanie inteligentnych decyzji diagnostycznych. Jednak w przypadku większości konwencjonalnych modeli uczenia głębokiego, takich jak splotowe sieci neuronowe (convolutional neural networks, CNN), wymagana jest duża ilość etykietowanych danych uczących, których pozyskanie jest zwykle zadaniem praco- i czasochłonnym, a czasem wręcz niemożliwym do wykonania. W niniejszej pracy, przedstawiono zmodyfikowaną splotową sieć neuronową (modified convolutional neural network, MCNN), która rozwiązuje problem dostępności danych etykietowanych poprzez zastosowanie globalnego uśrednienia względem kanałów (global average pooling), co pozwala na zmniejszenie liczby możliwych do wyuczenia parametrów i uproszczenie architektury modelu głębokiego uczenia. W porównaniu do tradycyjnych sieci CNN, proponowana sieć MCNN zwiększa możliwości diagnozowania błędów przy ograniczonych danych etykietowanych. Skuteczność proponowanej metody wykazano na przykładzie dwóch zbiorów danych doświadczalnych dotyczących błędów przekładni. Wyniki eksperymentalne pokazują, że, w porównaniu z tradycyjnymi metodami uczenia głębokiego, takimi jak LSTM, CNN oraz warianty tej ostatniej, proponowane podejście MCNN daje większe możliwości rozróżniania i uogólniania podczas klasyfikacji i diagnostyki błędów w przypadku ograniczonej dostępności etykietowanych danych uczących.
Źródło:
Eksploatacja i Niezawodność; 2020, 22, 1; 63-72
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of engine speeds and dimethyl ether on methyl decanoate HCCI combustion and emission characteristics based on low-speed two-stroke diesel engine
Autorzy:
Wang, Shiye
Yao, Li
Powiązania:
https://bibliotekanauki.pl/articles/258938.pdf
Data publikacji:
2020
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
homogeneous charge compression ignition (HCCI)
methyl decanoate (MD)
dimethyl ether (DME)
speed
NOx emission
Opis:
The combustion and emission characteristics of homogeneous charge compression ignition (HCCI) fuelled by methyl decanoate (MD) with different engine speeds and dimethyl ether (DME) mixing ratios are investigated in this work. Engine data of a MAN B&W 6S70MC low-speed two-stroke marine diesel engine were used for the reactor. The results show that a decrease of engine speed has little effect on the in-cylinder temperature and pressure of the engine at constant excess air coefficient of 1.5. Meanwhile, NOx emissions decrease with a decrease of engine speed in pure MD HCCI combustion. The results also indicate that NOx and CO2 emissions decrease significantly with an increase in the percentage of DME in MD and DME mixing combustion at a constant total mole fraction and engine speed of 85 revolutions per minute (r/min).
Źródło:
Polish Maritime Research; 2020, 2; 85-95
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Overtone Modes in an At-Cut Quartz Trapped-Energy Resonator with Elliptical Electrodes
Autorzy:
Li, Long
Wang, Zhi
Powiązania:
https://bibliotekanauki.pl/articles/1033433.pdf
Data publikacji:
2017-02
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
quartz
resonator
thickness-shear vibration
elliptical
overtone modes
Opis:
We analyze thickness-shear vibrations of an at-cut quartz plate with elliptical electrodes. The electrodes are essentially optimal in the sense of Mindlin in that they approximately satisfy the criterion for the Bechmann number in every direction. The scalar differential equation derived by Tiersten and Smythe is used which allows us to obtain the overtone modes in addition to the fundamental modes.
Źródło:
Acta Physica Polonica A; 2017, 131, 2; 294-296
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improved dolphin swarm optimization algorithm based on information entropy
Autorzy:
Li, Y.
Wang, X.
Powiązania:
https://bibliotekanauki.pl/articles/200085.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
dolphin swarm optimization
information entropy
convergence
self-adaptive
combinational optimization
Opis:
In order to overcome the shortcomings of the dolphin algorithm, which is prone to falling into local optimum and premature conver-gence, an improved dolphin swarm algorithm, based on the standard dolphin algorithm, was proposed. As a measure of uncertainty, information entropy was used to measure the search stage in the dolphin swarm algorithm. Adaptive step size parameters and dynamic balance factors were introduced to correlate the search step size with the number of iterations and fitness, and to perform adaptive adjustment of the algorithm. Simulation experiments show that, comparing with the basic algorithm and other algorithms, the improved dolphin swarm algorithm is feasible and effective.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2019, 67, 4; 679-685
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Deficiency and Forbidden Subgraphs of Connected, Locally-Connected Graphs
Autorzy:
Li, Xihe
Wang, Ligong
Powiązania:
https://bibliotekanauki.pl/articles/32083830.pdf
Data publikacji:
2020-02-01
Wydawca:
Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Tematy:
05C40
05C70
Opis:
A graph $G$ is locally-connected if the neighbourhood $ N_G (v) $ induces a connected subgraph for each vertex $v$ in $G$. For a graph $G$, the deficiency of $G$ is the number of vertices unsaturated by a maximum matching, denoted by $ \text{def} (G) $. In fact, the deficiency of a graph measures how far a maximum matching is from being perfect matching. Saito and Xiong have studied subgraphs, the absence of which forces a connected and locally-connected graph $G$ of sufficiently large order to satisfy $ \text{def} (G) \le 1 $. In this paper, we extend this result to the condition of $ \text{def} (G) \le k $, where k is a positive integer. Let $ \beta_0 = \ceil{ 1/2 (3+\sqrt{8k+17} ) } −1 $, we show that $ K_{1,2}, K_{1,3}, . . ., K_{1,β_0}, K_3 $ or \( K_2 \lor 2K_1 \) is the required forbidden subgraph. Furthermore, we obtain some similar results about 3-connected, locally-connected graphs. Key Words: deficiency, locally-connected graph, matching, forbidden subgraph.
Źródło:
Discussiones Mathematicae Graph Theory; 2020, 40, 1; 195-208
2083-5892
Pojawia się w:
Discussiones Mathematicae Graph Theory
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of the Language Characteristics of Types of Business English Speeches from the Perspective of Functional Linguistics
Charakterystyka lingwistyczna typów angielskich wystąpień biznesowych w świetle językoznawstwa funkcjonalnego
Autorzy:
Wang, Xian
Li, Huixian
Powiązania:
https://bibliotekanauki.pl/articles/49101228.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Instytut Slawistyki PAN
Tematy:
business English speech
sentence structure
business vocabulary
corpus
Opis:
Business English speeches are an essential form of business communication, and the question of how to improve their effectiveness is essential to successful business communication. Based on a self-built corpus of Business English speeches, this paper studies the relationship of sentence structure, business vocabulary, and speech type with business speeches by using a quantitative statistical method. It reveals that the sentence structure used by the speaker changes according to the content and type of speech, while the proportion of business vocabulary relative to the type of business speech stays at a low level of 5%, with little variance. Sentence structure and the frequency of business vocabulary should be adapted according to the type of speech so that positive effectiveness can be ensured.
Przemówienia biznesowe w języku angielskim są podstawową formą komunikacji biznesowej, a pytanie o to, jak poprawić ich efektywność, jest kluczowe dla udanej komunikacji biznesowej. Na podstawie samodzielnie zbudowanego korpusu przemówień biznesowych w języku angielskim badany jest związek struktury zdań, słownictwa biznesowego i typu wypowiedzi z przemówieniami biznesowymi z zastosowaniem statystycznej metody ilościowej. Okazuje się, że struktura zdania używana przez mówiącego zmienia się w zależności od treści i typu wypowiedzi, podczas gdy udział słownictwa biznesowego w stosunku do typu wypowiedzi biznesowej pozostaje na niskim, 5 procentowym poziomie, z niewielkimi odchyleniami. Struktura zdania i częstość użycia słownictwa biznesowego powinny być dostosowane do rodzaju wypowiedzi, aby zapewnić jej skuteczność.
Źródło:
Cognitive Studies | Études cognitives; 2021, 21
1641-9758
2392-2397
Pojawia się w:
Cognitive Studies | Études cognitives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-attribute decision-making based on q-rung dual hesitant power dual Maclaurin symmetric mean operator and a new ranking method
Autorzy:
Li, Li
Wang, Jun
Ji, Chunliang
Powiązania:
https://bibliotekanauki.pl/articles/2175106.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
q-rung dual hesitant fuzzy sets
power geometric
dual Maclaurin symmetric mean
power dual Maclaurin symmetric mean
multi-attribute decision-making
Opis:
The ability of q-rung dual hesitant fuzzy sets (q-RDHFSs) in dealing with decision makers’ fuzzy evaluation information has received much attention. This main aim of this paper is to propose new aggregation operators of q-rung dual hesitant fuzzy elements and employ them in multi-attribute decision making (MADM). In order to do this, we first propose the power dual Maclaurin symmetric mean (PDMSM) operator by integrating the power geometric (PG) operator and the dual Maclaurin symmetric mean (DMSM). The PG operator can reduce or eliminate the negative influence of decision makers’ extreme evaluation values, making the final decision results more reasonable. The DMSM captures the interrelationship among multiple attributes. The PDMSM takes the advantages of both PG and DMSM and hence it is suitable and powerful to fuse decision information. Further, we extend the PDMSM operator to q-RDHFSs and propose q-rung dual hesitant fuzzy PDMSM operator and its weighted form. Properties of these operators are investigated. Afterwards, a new MADM method under q-RDHFSs is proposed on the basis on the new operators. Finally, the effectiveness of the new method is testified through numerical examples.
Źródło:
Archives of Control Sciences; 2022, 32, 3; 627--658
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optical coherence tomography image for automatic classification of diabetic macular edema
Autorzy:
Wang, Ping
Li, Jia-Li
Ding, Hao
Powiązania:
https://bibliotekanauki.pl/articles/1835815.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
diabetic macular edema
optical coherence tomography
transfer learning
fine-tuning
Opis:
Diabetic macular edema (DME) is the dominant reason of diabetic visual loss, so early detection and treatment of DME is of great significance for the treatment of diabetes. Based on transfer learning, an automatic classification method is proposed to distinguish DME images from normal images in optical coherence tomography (OCT) retinal fundus images. Features of the DME are automatically identified and extracted by the pre-trained convolutional neural network (CNN), which only involves fine-tuning the VGGNet-16 network without any user intervention. An accuracy of 97.9% and a sensitivity of 98.0% are acquired with the OCT images in the Duke data set from experimental results. The proposed method, a core part of an automated diagnosis system of the DME, revealed the ability of fine-tuning models to train non-medical images, allowing them can be classified with limited training data. Moreover, it can be developed to assist early diagnosis of the disease, effectively delaying (or avoiding) the progression of the disease, consequently.
Źródło:
Optica Applicata; 2020, 50, 4; 567-577
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new strategy: high level expression and immunogenicity analysis of triplicate repeated multigenes in Mycoplasma hyopneumoniae
Autorzy:
Li, J.
Wang, G.
Powiązania:
https://bibliotekanauki.pl/articles/16647587.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
multi-epitope fusion protein
Mycoplasma hyopneumoniae
new generation vaccines
Opis:
Highly immunogenic nucleotide fragments from 3 genes of Mycoplasma hyopneumoniae strain 232 were selected using information software technology. After repeating each fragment three times, a total of 9 nucleotide fragments were joined together to form a new nucleotide sequence called Mhp2321092bp. Mhp2321092bp was directly synthesized and cloned into a pET100 vector and expressed in Escherichia coli. After purification, the proteins were successfully validated by SDS-PAGE and Western blotting using mouse His-tag antibody and pig anti-Mhp serum. BALB/c mice were intraperitoneally injected with purified proteins in the high-dose (100 µg), medium-dose group (50 µg) and low-dose (10 µg) groups. Mice in each group were injected on day 1, day 8 and day 15 of feeding, respectively. Serum samples were collected from all mice on the day before immunization and on day 22 after immunization. The antibody level in the mouse serum was detected using western blotting using purified expressed proteins as antigens. IL-2, TNF-α and IFN-γ were simultaneously detected in the mouse serum by ELISA. The results showed that the 60 kDa protein was successfully expressed and reacted specifically with the specific serum Mhp His-Tag mouse monoclonal antibody and pig anti-Mhp serum. From day 0 to day 22 of immunization, IFN-γ increased from 269.52 to 467.74 pg/mL, IL-2 increased from 14.03 to 145.16 pg/mL, and TNF-α increased from 6.86 to 12.37 pg/mL. The IgG antibody in mice increased significantly from 0 day to day 22 after immunization. This study suggests that the expressed recombinant protein may serve as one of the novel vaccine candidates for Mhp.
Źródło:
Polish Journal of Veterinary Sciences; 2023, 26, 2; 275-283
1505-1773
Pojawia się w:
Polish Journal of Veterinary Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
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