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Series Statistics Data of Non-ferrous Metals of China──Ⅰ Surveying
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《中国有色金属学会会刊:英文版》 CSCD 1996年第2期152-153,共2页
SeriesStatisticsDataofNon-ferrousMetalsofChinaⅠ2ASurveyingofTheChinaNationalNon-ferrousMetalsIndustryCorpcra... SeriesStatisticsDataofNon-ferrousMetalsofChinaⅠ2ASurveyingofTheChinaNationalNon-ferrousMetalsIndustryCorpcration(CNNC)Bycourt... 展开更多
关键词 Series statistics data of Non-ferrous Metals of China SURVEYING
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Comparisons of Three-Dimensional Variational Data Assimilation and Model Output Statistics in Improving Atmospheric Chemistry Forecasts 被引量:1
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作者 Chaoqun MA Tijian WANG +1 位作者 Zengliang ZANG Zhijin LI 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2018年第7期813-825,共13页
Atmospheric chemistry models usually perform badly in forecasting wintertime air pollution because of their uncertainties. Generally, such uncertainties can be decreased effectively by techniques such as data assimila... Atmospheric chemistry models usually perform badly in forecasting wintertime air pollution because of their uncertainties. Generally, such uncertainties can be decreased effectively by techniques such as data assimilation(DA) and model output statistics(MOS). However, the relative importance and combined effects of the two techniques have not been clarified. Here,a one-month air quality forecast with the Weather Research and Forecasting-Chemistry(WRF-Chem) model was carried out in a virtually operational setup focusing on Hebei Province, China. Meanwhile, three-dimensional variational(3 DVar) DA and MOS based on one-dimensional Kalman filtering were implemented separately and simultaneously to investigate their performance in improving the model forecast. Comparison with observations shows that the chemistry forecast with MOS outperforms that with 3 DVar DA, which could be seen in all the species tested over the whole 72 forecast hours. Combined use of both techniques does not guarantee a better forecast than MOS only, with the improvements and degradations being small and appearing rather randomly. Results indicate that the implementation of MOS is more suitable than 3 DVar DA in improving the operational forecasting ability of WRF-Chem. 展开更多
关键词 data assimilation model output statistics WRF-Chem operational forecast
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Cryo-EM Data Statistics and Theoretical Analysis of KaiC Hexamer
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作者 Xu Han Zhaolong Wu +1 位作者 Tian Yang Qi Ouyang 《Chinese Physics Letters》 SCIE EI CAS CSCD 2022年第7期24-29,共6页
Cryo-electron microscopy(cryo-EM) provides a powerful tool to resolve the structure of biological macromolecules in natural state. One advantage of cryo-EM technology is that different conformation states of a protein... Cryo-electron microscopy(cryo-EM) provides a powerful tool to resolve the structure of biological macromolecules in natural state. One advantage of cryo-EM technology is that different conformation states of a protein complex structure can be simultaneously built, and the distribution of different states can be measured. This provides a tool to push cryo-EM technology beyond just to resolve protein structures, but to obtain the thermodynamic properties of protein machines. Here, we used a deep manifold learning framework to get the conformational landscape of Kai C proteins, and further obtained the thermodynamic properties of this central oscillator component in the circadian clock by means of statistical physics. 展开更多
关键词 Cryo-EM data statistics and Theoretical Analysis of KaiC Hexamer
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Statistical Data Mining with Slime Mould Optimization for Intelligent Rainfall Classification
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作者 Ramya Nemani G.Jose Moses +4 位作者 Fayadh Alenezi K.Vijaya Kumar Seifedine Kadry Jungeun Kim Keejun Han 《Computer Systems Science & Engineering》 SCIE EI 2023年第10期919-935,共17页
Statistics are most crucial than ever due to the accessibility of huge counts of data from several domains such as finance,medicine,science,engineering,and so on.Statistical data mining(SDM)is an interdisciplinary dom... Statistics are most crucial than ever due to the accessibility of huge counts of data from several domains such as finance,medicine,science,engineering,and so on.Statistical data mining(SDM)is an interdisciplinary domain that examines huge existing databases to discover patterns and connections from the data.It varies in classical statistics on the size of datasets and on the detail that the data could not primarily be gathered based on some experimental strategy but conversely for other resolves.Thus,this paper introduces an effective statistical Data Mining for Intelligent Rainfall Prediction using Slime Mould Optimization with Deep Learning(SDMIRPSMODL)model.In the presented SDMIRP-SMODL model,the feature subset selection process is performed by the SMO algorithm,which in turn minimizes the computation complexity.For rainfall prediction.Convolution neural network with long short-term memory(CNN-LSTM)technique is exploited.At last,this study involves the pelican optimization algorithm(POA)as a hyperparameter optimizer.The experimental evaluation of the SDMIRP-SMODL approach is tested utilizing a rainfall dataset comprising 23682 samples in the negative class and 1865 samples in the positive class.The comparative outcomes reported the supremacy of the SDMIRP-SMODL model compared to existing techniques. 展开更多
关键词 Statistical data mining predictive models deep learning rainfall prediction parameter tuning
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Adaptive and local analysis of climate data
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作者 Wu Zhaohua Huang Norden E Wallace John M 《Engineering Sciences》 EI 2014年第2期36-40,共5页
This paper focuses on how to extract physically meaningful information from climate data,with emphases placed on adaptive and local analysis. It is argued that many traditional statistical analysis methods with rigoro... This paper focuses on how to extract physically meaningful information from climate data,with emphases placed on adaptive and local analysis. It is argued that many traditional statistical analysis methods with rigorous mathematical footing may not be efficient in extracting essential physical information from climate data;rather,adaptive and local analysis methods that agree well with fundamental physical principles are more capable of capturing key information of climate data. To illustrate the improved power of adaptive and local analysis of climate data,we also introduce briefly the empirical mode decomposition and its later developments. 展开更多
关键词 statistical analysis of data adaptive analysis of data locality of analysis empirical mode decom- position ensemble empirical mode decomposition global warming trend multidecadal climate variability
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On the non-Gaussian errors in high-z supernovae type Ia data
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作者 Meghendra Singh Ashwini Pandey +2 位作者 Amit Sharma Shashikant Gupta Satendra Sharma 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2016年第11期53-56,共4页
The nature of random errors in any data set is Gaussian, which is a well established fact according to the Central Limit Theorem. Supernovae type Ia data have played a crucial role in major discoveries in cosmology. U... The nature of random errors in any data set is Gaussian, which is a well established fact according to the Central Limit Theorem. Supernovae type Ia data have played a crucial role in major discoveries in cosmology. Unlike in laboratory experiments, astronomical measurements cannot be performed in controlled situations. Thus, errors in astronomical data can be more severe in terms of systematics and non-Gaussianity compared to those of laboratory experiments. In this paper, we use the Kolmogorov-Smiruov statistic to test non-Gaussianity in high-z supernovae data. We apply this statistic to four data sets, i.e., Gold data (2004), Gold data (2007), the Union2 catalog and the Union2.1 data set for our analysis. Our results show that in all four data sets the errors are consistent with a Gaussian distribution. 展开更多
关键词 cosmology - data analysis - statistics - probability
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Nationwide Statistical Data on Electric Power Industry in Year 2000(Predicted Value)
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《Electricity》 2001年第1期54-54,共1页
关键词 Nationwide Statistical data on Electric Power Industry in Year 2000
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Statistical data of Printing and Printing Equipment Industries and materials of China 2007
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作者 Printing and Printing Equipment Industries Association of China 《印刷工业》 2008年第3期106-106,共1页
According to statistics of Printing and Printing Equipment Industries Association of China (PEIAC), the total output value of printing industry of China in 2007 reached 440 billion RMB , the total output value of prin... According to statistics of Printing and Printing Equipment Industries Association of China (PEIAC), the total output value of printing industry of China in 2007 reached 440 billion RMB , the total output value of printing equipment was 展开更多
关键词 Statistical data of Printing and Printing Equipment Industries and materials of China 2007 data
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Global Statistical Study of Ionospheric Waves Based on COSMIC GPS Radio Occultation Data
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作者 Xuan-Yun Zeng Xiang-Hui Xue +4 位作者 Xin-An Yue Ming-Jiao Jia Bing-Kun Yu ian-Fei Wu Chao Yu 《Chinese Physics Letters》 SCIE CAS CSCD 2018年第10期93-97,共5页
Extracting and parameterizing ionospheric waves globally and statistically is a longstanding problem. Based on the multichannel maximum entropy method(MMEM) used for studying ionospheric waves by previous work, we c... Extracting and parameterizing ionospheric waves globally and statistically is a longstanding problem. Based on the multichannel maximum entropy method(MMEM) used for studying ionospheric waves by previous work, we calculate the parameters of ionospheric waves by applying the MMEM to numerously temporally approximate and spatially close global-positioning-system radio occultation total electron content profile triples provided by the unique clustered satellites flight between years 2006 and 2007 right after the constellation observing system for meteorology, ionosphere, and climate(COSMIC) mission launch. The results show that the amplitude of ionospheric waves increases at the low and high latitudes(~0.15 TECU) and decreases in the mid-latitudes(~0.05 TECU). The vertical wavelength of the ionospheric waves increases in the mid-latitudes(e.g., ~50 km at altitudes of 200–250 km) and decreases at the low and high latitudes(e.g., ~35 km at altitudes of 200–250 km).The horizontal wavelength shows a similar result(e.g., ~1400 km in the mid-latitudes and ~800 km at the low and high latitudes). 展开更多
关键词 COSMIC Global Statistical Study of Ionospheric Waves Based on COSMIC GPS Radio Occultation data GPS
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Commercial Credit and Corporate Productivity
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作者 Tinghua Liu Jingru Wang Xiao Liu 《Journal of Management Science & Engineering Research》 2020年第1期1-10,共10页
As an important form of informal finance,commercial credit is widely used among enterprises.Does commercial credit promote the total factor productivity of enterprises?According to the theoretical literature and the r... As an important form of informal finance,commercial credit is widely used among enterprises.Does commercial credit promote the total factor productivity of enterprises?According to the theoretical literature and the reality,using the large sample data of Chinese industrial enterprises,the paper empirically tests the impact of commercial credit on the productivity of enterprises from three aspects:the provision and acquisition of commercial credit and the net commercial credit.The study finds that the provision of commercial credit reduces the productivity level of enterprises;the acquisition of commercial credit fails to promote productivity;while the net commercial credit as a short-term financial buffer for enterprises can alleviate the financing constraints,faced by enterprises,especially private enterprises,which help to increase their productivity levels.In addition,the study found that the higher the marketization process in the region,the more favorable the commercial credit is to the improvement of the production efficiency of private enterprises. 展开更多
关键词 MARKETIZATION OWNERSHIP Performance management National Bureau of statistics data Provision of commercial credit Access to commercial credit
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Big Data analytics for privacy through ND-homomorphic encryption
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作者 S.Saravanan N.Poornima 《Journal of Control and Decision》 EI 2023年第1期64-71,共8页
Rapidly rising the quantity of Big Data is an opportunity to flout the privacy of people. Whenhigh processing capacity and massive storage are required for Big Data, distributed networkshave been used. There are sever... Rapidly rising the quantity of Big Data is an opportunity to flout the privacy of people. Whenhigh processing capacity and massive storage are required for Big Data, distributed networkshave been used. There are several people involved in these activities, the system may contributeto privacy infringements frameworks have been developed for the preservation of privacy atvarious levels (e.g. information age, information the executives and information preparing) asfor the existing pattern of huge information. We plan to frame this paper as a literature surveyof these classifications, including the Privacy Processes in Big Data and the presentation of theAssociate Challenges. Homomorphic encryption is particularised aimed at solitary single actionon the ciphered information. Homomorphic enciphering is restrained to an honest operation onthe encoded data. The reference to encryption project fulfils many accurate trading operationson coded numerical data;therefore, it protects the written in code-sensible information evenmore. 展开更多
关键词 Security and confidentiality vast statistics data ENCRYPTION nondeterministic fully homomorphic encryption
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Treatment responses in Asians and Caucasians with chronic hepatitis C infection 被引量:12
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作者 Kenneth K Yan Marianne Guirgis +4 位作者 Amany Zekry Thuy Dinh Anouk Dev Jacob George Alice Lee 《World Journal of Gastroenterology》 SCIE CAS CSCD 2008年第21期3416-3420,共5页
AIM:To conduct a multicentre retrospective review of virological response rates in Asians infected with genotype 1 chronic hepatitis C(CHC) treated with combination interferon and ribavirin and then to compare thei... AIM:To conduct a multicentre retrospective review of virological response rates in Asians infected with genotype 1 chronic hepatitis C(CHC) treated with combination interferon and ribavirin and then to compare their responses to that among Caucasians.METHODS:Asian patients infected with genotype 1 CHC treated at 4 Australian centres between 2001 to 2005 were identified through hospital databases.Baseline demographic characteristics,biochemical,virological and histological data and details of treatment were collected.Sustained virological responses(SVR) in this cohort were then compared to that in Caucasian subjects,matched by genotype,age,gender and the stage of hepatic fibrosis.RESULTS:A total of 108 Asians with genotype 1 CHC were identified.The end of treatment response(ETR) for the cohort was 79% while the SVR was 67%.Due to the relatively advanced age of the Asian cohort,only sixty-four subjects could be matched with Caucasians.The ETR among matched Asians and Caucasians was 81% and 56% respectively(P=0.003),while the SVR rates were 73% and 36%(P 〈0.001) respectively.This difference remained significant after adjusting for other predictive variables. CONCLUSION: Genotype 1 CHC in Asian subjects is associated with higher rates of virological response compared to that in Caucasians. 展开更多
关键词 Hepatitis C Treatment Asians Retro-spective studies Comparative study INTERFERON RIBAVIRIN Statistical data analysis
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Association of serum lipids and severity of epithelial ovarian cancer:an observational cohort study of 349 Chinese patients 被引量:3
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作者 Yi Zhang Jing Wu +5 位作者 Junya Liang Xing Huang Lei Xia Dawei Ma Xinyu Xu Pingping Wu 《The Journal of Biomedical Research》 CAS CSCD 2018年第5期336-342,共7页
While obesity and fat intake have been associated with the risk and prognosis of epithelial ovarian cancer, the association between the lipid levels and epithelial ovarian cancer phenotype remains controversial. We co... While obesity and fat intake have been associated with the risk and prognosis of epithelial ovarian cancer, the association between the lipid levels and epithelial ovarian cancer phenotype remains controversial. We conducted a retrospective study of 349 epithelial ovarian cancer patients who received treatment at Jiangsu Cancer Hospital, China between 2011 and 2017. We analyzed age at diagnosis, blood pressure, plasma glucose content, body mass index(BMI), lipid levels and clinical parameters. Severity of epithelial ovarian cancer was classified according to the International Federation of Gynecology and Obstetrics(FIGO) grading system. Univariate analysis of the clinical factors according to the severity of epithelial ovarian cancer was followed by logistic regression analysis to identify clinical factors significantly associated with epithelial ovarian cancer severity. Univariate analysis indicated that age,BMI, triglyceride(TG), and high density lipoproteins(HDL) differed significantly among different stages of epithelial ovarian cancer(P〈0.05). In the logistic regression model, elevated TG(OR: 1.883; 95% CI= 1.207-2.937), and low HDL(OR: 0.497; 95% CI = 0.298-0.829) levels were significantly associated with the high severity epithelial ovarian cancer. Our data indicate that high TG and low HDL levels correlate with a high severity of epithelial ovarian cancer. These data provide important insight into the potential relationship between the lipid pathway and epithelial ovarian cancer phenotype and development. 展开更多
关键词 TRIGLYCERIDES epithelial ovarian cancer high density lipoproteins DYSLIPIDEMIA clinical data statistics
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Learning Vector Quantization for Classifying Astronomical Objects 被引量:3
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作者 Yan-Xia Zhang and Yong-Heng ZhaoNational Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012 《Chinese Journal of Astronomy and Astrophysics》 CSCD 北大核心 2003年第2期183-190,共8页
The sizes of astronomical surveys in different wavebands are increasing rapidly. Therefore, automatic classification of objects is becoming ever more important. We explore the performance of learning vector quantizati... The sizes of astronomical surveys in different wavebands are increasing rapidly. Therefore, automatic classification of objects is becoming ever more important. We explore the performance of learning vector quantization (LVQ) in classifying multi-wavelength data. Our analysis concentrates on separating active sources from non-active ones. Different classes of X-ray emitters populate distinct regions of a multidimensional parameter space. In order to explore the distribution of various objects in a multidimensional parameter space, we positionally cross-correlate the data of quasars, BL Lacs, active galaxies, stars and normal galaxies in the optical, X-ray and infrared bands. We then apply LVQ to classify them with the obtained data. Our results show that LVQ is an effective method for separating AGNs from stars and normal galaxies with multi-wavelength data. 展开更多
关键词 method: data analysis - method: statistical - catalogs
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Identifying Carbon stars from the LAMOST pilot survey with the efficient manifold ranking algorithm 被引量:1
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作者 Jian-Min Si Yin-Bi Li +8 位作者 A-Li Luo Liang-Ping Tu Zhi-Xin Shi Jian-Nan Zhang Peng Wei Gang Zhao Yi-Hong Wu Fu-Chao Wu Yong-Heng Zhao 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2015年第10期1671-1694,共24页
Carbon stars are excellent kinematic tracers of galaxies and can serve as a viable standard candle, so it is worthwhile to automatically search for them in a large amount of spectra. In this paper, we apply the effici... Carbon stars are excellent kinematic tracers of galaxies and can serve as a viable standard candle, so it is worthwhile to automatically search for them in a large amount of spectra. In this paper, we apply the efficient manifold ranking algorithm to search for carbon stars from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) pilot survey, whose performance and robustness are verified comprehensively with four test experiments. Using this algorithm, we find a total of 183 carbon stars, and 158 of them are new findings. According to different spectral features, our carbon stars are classified as 58 C-H stars, 11 C-H star candidates, 56 C-R stars, ten C-R star candidates, 30 C-N stars, three C-N star candidates, and four C-J stars. There are also ten objects which have no spectral type because of low spec- tral quality, and a composite spectrum consisting of a white dwarf and a carbon star. Applying the support vector machine algorithm, we obtain the linear optimum clas- sification plane in the J - H versus/-/- Ks color diagram which can be used to distinguish C-H from C-N stars with their J - H and H - Ks colors. In addition, we identify 18 dwarf carbon stars with their relatively high proper motions, and find three carbon stars with FUV detections likely have optical invisible companions by cross matching with data from the Galaxy Evolution Explorer. In the end, we detect four variable carbon stars with the Northern Sky Variability Survey, the Catalina Sky Survey and the LINEAR variability databases. According to their periods and ampli- tudes derived by fitting light curves with a sinusoidal function, three of them are likely semiregular variable stars and one is likely a Mira variable star. 展开更多
关键词 methods: data analysis -- methods: statistical -- stars: carbon -- binaries-- stars: variables
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Investigation of intergranular bright points from the New Vacuum Solar Telescope 被引量:1
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作者 Kai-Fan Ji Jian-Ping Xiong +4 位作者 Yong-Yuan Xiang Song Feng Hui Deng Feng Wang Yun-Fei Yang 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2016年第5期69-80,共12页
Six high-resolution TiO-band image sequences from the New Vacuum Solar Telescope (NVST) are used to investigate the properties of intergranular bright points (igBPs). We detect the igBPs using a Laplacian and morp... Six high-resolution TiO-band image sequences from the New Vacuum Solar Telescope (NVST) are used to investigate the properties of intergranular bright points (igBPs). We detect the igBPs using a Laplacian and morphological dilation algorithm (LMD) and automatically track them using a three- dimensional segmentation algorithm, and then investigate the morphologic, photometric and dynamic prop- erties of igBPs in terms of equivalent diameter, intensity contrast, lifetime, horizontal velocity, diffusion index, motion range and motion type. The statistical results confirm previous studies based on G-band or TiO-band igBPs from other telescopes. These results illustrate that TiO data from the NVST are stable and reliable, and are suitable for studying igBPs. In addition, our method is feasible for detecting and track- ing igBPs with TiO data from the NVST. With the aid of vector magnetograms obtained from the Solar Dynamics Observatory/Helioseismic and Magnetic Imager, the properties of igBPs are found to be strongly influenced by their embedded magnetic environments. The areal coverage, size and intensity contrast values of igBPs are generally larger in regions with higher magnetic flux. However, the dynamics of igBPs, includ- ing the horizontal velocity, diffusion index, ratio of motion range and index of motion type are generally larger in the regions with lower magnetic flux. This suggests that the absence of strong magnetic fields in the medium makes it possible for the igBPs to look smaller and weaker, diffuse faster, and move faster and further along a straighter path. 展开更多
关键词 techniques: image processing -- Sun: photosphere -- methods: data analysis -- methods:statistical
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Founding of the Big Data Statistics Branch
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作者 Shanping Wang 《Statistical Theory and Related Fields》 2019年第1期85-88,共4页
The founding conference of the Big Data Statistics Branch (BDSB) of the Chinese Association forApplied Statistics (CAAS) was held on 8 December 2018, at East China Normal University (ECNU),Shanghai, China. More than 6... The founding conference of the Big Data Statistics Branch (BDSB) of the Chinese Association forApplied Statistics (CAAS) was held on 8 December 2018, at East China Normal University (ECNU),Shanghai, China. More than 600 experts and scholars attended the conference. Professor ZhangRiquan was elected as the chairman of the first Board of Directors of the BDSB. Fang Xiangzhong,Chairman of the CAAS, delivered a speech. Professor Wang Zhaojun and Dr Liu Zhong delivered,respectively, keynote reports on the development of Big Data researches and practices, at theconference. The BDSB will be dedicated to building a high-level big data statistics exchange platform for experts and scholars in universities, governments, enterprises, and other fields to betterserve the society and serve the country’s major strategies. 展开更多
关键词 Big data Big data statistics Branch Chinese Association for Applied statistics FOUNDATION East China Normal University
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Education and sustainable development in Romania and the European Union countries
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作者 Carmen Pintilescu Danut Jemna Gabriela Pascariu 《Chinese Business Review》 2009年第1期55-63,共9页
The sustainable development supposes a development strategy that would ensure the interdependence and complementarily of objectives from the social, economic and environmental fields. The degree of priority establishe... The sustainable development supposes a development strategy that would ensure the interdependence and complementarily of objectives from the social, economic and environmental fields. The degree of priority established for the three dimensions of sustainable development differs from one country to another, a fact that confers a national and local meaning to this issue. For the Central and Eastern European countries, balanced economic development represents one of the fundamental objectives of the reforms started in 1990. Education represents a priority of any country's economic development and an extremely important element of economic growth. This paper presents the characteristics of the Romanian educational system while achieving a comparative analysis regarding different countries of the European Union, both from a quantitative viewpoint (using the main indicators in the education field) and a qualitative viewpoint (using student performances in international evaluations). In the end, we present some proposals for the improvement of the present state of the Romanian educational system. 展开更多
关键词 EDUCATION sustainable development Lisbon objectives data multivariate statistical analysis
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Investigating Evacuation Trends and Restoration Processes from Serious Earthquake Damage in Japan
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作者 Habib Sufian Tatsuo Oyama 《American Journal of Operations Research》 2021年第1期35-61,共27页
Japan has experienced many large-scale natural disasters, such as earthquakes, typhoons accompanied by heavy rain, and landslides. Based on data for the damage caused by four recent major earthquakes in Japan, we inve... Japan has experienced many large-scale natural disasters, such as earthquakes, typhoons accompanied by heavy rain, and landslides. Based on data for the damage caused by four recent major earthquakes in Japan, we investigate the trends in the number of evacuees and evacuation centres after these disasters as well as the restoration processes for public utilities such as electricity, gas, water, and communication lines. We compare the restoration speeds and trends of the damaged infrastructure systems. We also propose various mathematical models to approximate the recovery trends using both evacuee-related data and damage recovery process data. These results can be used to design natural disaster mitigation policies not only in Japan, but also in other countries. The results of various statistical data analyses and mathematical modelling techniques are applied to provide policy suggestions. 展开更多
关键词 EARTHQUAKE Evacuees Restoration Process Statistical data Analysis Public Utilities Mathematical Model Social Infrastructure
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Statistical analysis of geomagnetic field variations during the partial solar eclipse on 2011 January 4 in Turkey
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作者 Abdullah Ates Yunus Levent Ekinci +2 位作者 Aydin Buyuksarac Attila Aydemir Alper Demirci 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2015年第5期742-752,共11页
Some geophysical parameters, such as those related to gravitation and the geomagnetic field, could change during solar eclipses. In order to observe geomagnetic fluctuations, geomagnetic measurements were carded out i... Some geophysical parameters, such as those related to gravitation and the geomagnetic field, could change during solar eclipses. In order to observe geomagnetic fluctuations, geomagnetic measurements were carded out in a limited time frame during the partial solar eclipse that occurred on 2011 January 4 and was observed in Canakkale and Ankara, Turkey. Additionally, records of the geomagnetic field spanning 24 hours, obtained from another observatory (in Iznik, Turkey), were also analyzed to check for any peculiar variations. In the data processing stage, a polynomial fit, following the application of a running average routine, was applied to the geomagnetic field data sets. Geomagnetic field data sets indicated there was a characteristic decrease at the beginning of the solar eclipse and this decrease can be well-correlated with previous geomagnetic field measurements that were taken during the total solar eclipse that was observed in Turkey on 2006 March 29. The behavior of the geomagnetic field is also consistent with previous observations in the literature. As a result of these analyses, it can be suggested that eclipses can cause a shielding effect on the geomagnetic field of the Earth. 展开更多
关键词 SUN magnetic field -- eclipses -- methods data analysis -- methods statistics
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