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Abstract

Capacity Development is needed in the Iranian Agricultural System. Integrating Information and Communication Technologies (ICTs) in the agricultural research system is an appropriate capacity development mechanism. The appropriate application of ICTs and information such as a National Agricultural Information System requires a systemically developed strategic plan, based on identifying and recognizing system-wide organizational implications. In this regard, this paper focuses on the implications of integrating ICTs in the Iranian agricultural research system. To this aim, the authors conducted a survey research study using qualitative analysis of interview data from a select sample of agricultural researchers and agricultural faculty members. After designing an interview protocol and doing interviews with the select sample of agricultural researchers and faculty members (n = 29), a qualitative procedure was used to analyze the data, based on conceptual extraction and thematic categorization of statements. Categories included guidelines, expected outcomes, challenges and barriers of appropriate ICTs integration in the Iranian agricultural research system. In addition, different phases of the ICTs integration process were identified in the form of a pathway diagram. Finally, based on related Iranian lessons learned, which are explained in this research, some appropriate mechanisms for integrating ICTs in national agricultural research system were indicated.  相似文献   
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Industrial software development today requires a fundamental education in computer science as well as the ability to work productively and collaboratively in a team environment. Employers will therefore favor graduates who have mastered computer science and software engineering concepts and can apply them while developing a software system. To produce computer science graduates possessing the skills necessary to succeed in the workplace, team‐oriented software engineering courses with real projects (and with real clients) are increasingly emphasized. It is, however, difficult to successfully present a software engineering course that covers software engineering concepts and offers opportunities to apply them during a project in a team environment. The difficulties lie in project selection, team formation, team and project organization, process management, and, finally, grading. The objective of this article is to discuss these difficulties and provide suggestions for alleviating or avoiding them.  相似文献   
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Objective: To develop a new bioinformatic tool based on a data-mining approach for extraction of the most infor-mative proteins that could be used to fred the potential biomarkers for the detection of cancer. Methods: Two independent datasets from serum samples of 253 ovarian cancer and 167 breast cancer patients were used. The samples were examined by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). The datasets were used to extract the informative proteins using a data-mining method in the discrete stationary wavelet transform domain. As a dimensionality re-duction procedure, the hard threshoiding method was applied to reduce the number of wavelet coefficients. Also, a distance measure was used to select the most discriminative coefficients. To find the potential biomarkers using the selected wavelet coefficients, we applied the inverse discrete stationary wavelet transform combined with a two-sided t-test. Results: From the ovarian cancer dataset, a set of five proteins were detected as potential biomarkers that could be used to identify the cancer patients from the healthy cases with accuracy, sensitivity, and specificity of 100%. Also, from the breast cancer dataset, a set of eight proteins were found as the potential biomarkers that could separate the healthy cases from the cancer patients with accuracy of 98.26%, sensitivity of 100%, and specificity of 95.6%. Conclusion: The results have shown that the new bioinformatic tool can be used in combination with the high-throughput proteomic data such as SELDI-TOF MS to find the potential biomarkers with high discriminative power.  相似文献   
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Thin-walled spread foundations are used in coastal projects where the soil strength is relatively low. Developing a predictive model of bearing capacity for this kind of foundation is of interest due to the fact that the famous bearing capacity equations are proposed for conventional footings. Many studies underlined the applicability of artificial neural networks (ANNs) in predicting the bearing capacity of foundations. However, the majority of these models are built using conventional ANNs, which suffer from slow rate of learning as well as getting trapped in local minima. Moreover, they are mainly developed for conventional footings. The prime objective of this study is to propose an improved ANN-based predictive model of bearing capacity for thin-walled shallow foundations. In this regard, a relatively large dataset comprising 145 recorded cases of related footing load tests was compiled from the literature. The dataset includes bearing capacity (Qu), friction angle, unit weight of sand, footing width, and thin-wall length to footing width ratio (Lw/B). Apart from Qu, other parameters were set as model inputs. To enhance the diversity of the data, four more related laboratory footing load tests were conducted on the Johor Bahru sand, and results were added to the dataset. Experimental findings suggest an almost 0.5 times increase in the bearing capacity in loose and dense sands when Lw/B is increased from 0.5 to 1.12. Overall, findings show the feasibility of the ANN-based predictive model improved with particle swarm optimization (PSO). The correlation coefficient was 0.98 for testing data, suggesting that the model serves as a reliable tool in predicting the bearing capacity.  相似文献   
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The hypothesis that proportionately more boys than girls experience reading failure was tested on a sample of 708 children using both test-identified and teacher-identified criteria. Test-identified reading failure was defined by low scores on standardized reading achievement tests given at the end of first and third grade. For Severely Reading Disabled (total reading score at the 10th percentile or lower), the ratio of boys to girls was 1.4:1 at first grade and 1.3:1 at third. At both grades equal proportions of boys and girls were represented in the Reading Disabled category (total reading score between the 11th and 30th percentile). Teacher-identified reading failure criteria consisted of enrollment in LD and Chapter One (remedial reading) programs at first and third grades. Teacher-identified ratios of boys to girls in LD were 2:1 at both first and third grade, exceeding the test-identified ratios, while identification for Chapter One services did not show a gender difference.  相似文献   
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Multipotentiality is widely cited as a characteristic of the most gifted individuals. It refers to their ability and interest to pursue various activities and goals especially as related to leisure and career choice. Multipotentiality appears beneficial, but can also lead to problems in career decision-making. Evidence for such problems, however, is contradictory and often anecdotal. This research, a follow-up study to Rysiew, Shore and Carson (1984), through the examination of longitudinal empirical data, sought to ascertain the outcomes of multipotentiality and to examine its effects on career decision-making. The sample comprised 180 participants (110 males and 70 females), which is 73% of 1984 sample. The average verbal IQ (Otis & Lennon, 1969) was 124.5. Results show that multipotentiality seemed not problematic, and evidence for career indecision was lacking. As for moderating variables, participants' considered experiences to be beneficial.  相似文献   
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The effectiveness of using acoustical (sonochemical) reactor for degradation of linear alkylbenzen sulfonate (LAS) from aqueous solution was investigated. LASs are anionic surfactants,found in relatively high amounts in domestic and industrial wastewaters. In this study,experiments on LAS solution were performed using methylene blue active substances (MBAS) method. The effectiveness of acoustical processor reactor for LAS degradation is evaluated with emphasis on the effect of treatment time and initial LAS concentration. Experiments were performed at initial concentrations of 0.2,0.5,0.8 and 1.0 mg/L,acoustic fre-quency of 130 kHz,applied power of 500 W and temperature of 18 °C~20 °C. At the conditions involved,LAS degradation was found to increase with increasing sonochemical time. In addition,as the concentration increased,the LAS degradation rate de-creased in the acoustical processor reactor.  相似文献   
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