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941.
Various studies have built models, using aggregate box-office data, to predict the contribution of a motion picture’s features
to its theatrical demand. But such an approach fails to represent the heterogeneous influence of movie features on demographic
groups and is unable to assist market-segmentation decisions. We propose and illustrate a new approach for modeling the appeal
of movie features to market segments via the use of appropriate individual-specific data and canonical correlation analysis.
Specifically, through demographically detailed movie-attendance data available in Spain, we build a model of how movie features
influence the demographic composition of audiences. Via a canonical correlation analysis, we identify four dimensions underlying
the relationships between several movie features (country of origin, genre, objectionable content, stars, promotional effort,
and critical evaluations) and audience demographics (gender, age range, presence of children, education, social class, and
size of municipality). These dimensions represent the strong pairings between four moviegoer demographic profiles and four
movie-feature profiles. Our approach can potentially aid in segmentation and green-lighting decisions by matching movie features
with the most relevant segment-specific preferences. 相似文献
942.
Assessment practitioners are often encouraged to adopt an “intelligent” approach to the interpretation of intelligence tests. A fundamental assumption of the “intelligent testing” philosophy is that psychometric test information (e.g., subtest g loadings) should be considered during the interpretive process. The relevant psychometric information is provided in the form of sample-based estimates. Unfortunately, the accuracy of these estimates, and the subsequent qualitative classification of intelligence subtests (e.g., good, fair, poor), are influenced to an unknown degree by sampling error. The current study demonstrated how data smoothing procedures, procedures commonly used in the development of continuous test norms, can be used to provide better estimates of the reliability, uniqueness, and general factor characteristics for the WISC-III subtests. © 1997 John Wiley & Sons, Inc. 相似文献
943.
Sunita Mathur A. William Sheel Jeremy D. Road W. Darlene Reid 《Cardiopulmonary Physical Therapy Journal》2010,21(1):5-12
Purpose: Skeletal muscle damage occurs following high-intensity or unaccustomed exercise; however, it is difficult to monitor damage to the respiratory muscles, particularly in humans. The aim of this study was to use clinical measures to investigate the presence of skeletal muscle damage in the inspiratory muscles. Methods: Ten healthy subjects underwent 60 minutes of voluntary inspiratory threshold loading (ITL) at 70% of maximal inspiratory pressure. Maximal inspiratory and expiratory mouth pressures, delayed onset muscle soreness on a visual analogue scale and plasma creatine kinase were measured prior to ITL, and at repeated time points after ITL (4, 24 and 48 hours post-ITL). Results: Delayed onset muscle soreness was present in all subjects 24 hours following ITL (intensity = 22 ± 6 mm; significantly higher than baseline p = 0.02). Muscle soreness was reported primarily in the anterior neck region, and was correlated to the amount of work done by the inspiratory muscles during ITL (r = 0.72, p = 0.02). However, no significant change was observed in maximal inspiratory or expiratory pressures or creatine kinase. Conclusions: These findings suggest that an intense bout of ITL results in muscle soreness primarily in the accessory muscles of inspiration, however, may be insufficient to cause significant muscle damage in healthy adults.Key Words: delayed onset muscle soreness, respiratory muscles, skeletal muscle damage 相似文献
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Jalyn Mason Christopher Morris Douglas E. Long Madison N. Sanden 《Measurement in physical education and exercise science》2020,24(1):65-73
ABSTRACTAccurate body composition assessment, which includes fat mass (adipose tissue mass, FM), fat-free mass (FFM), and percent fat mass (%FM) is needed to evaluate health and treatment efficacy. The current study compared body composition estimates obtained from the Norland Elite® DXA, BodPod®, and iDXA® before and after a12-week exercise intervention in adults (n=30, BMI 25–35 kg/m2) . Bland-Altman methods determined mean bias and limits of agreement for FM, %FM, and FFM between methods. Compared to the iDXA® and BodPod®, Elite® overestimated BF% and FM (P < .01). FFM was similar between iDXA® and Elite® but lower in Elite® than BodPod® (P < .01). There were no differences between methods in changes in FM or FFM after the exercise intervention. Prior to this study, it was unknown how the Norland Elite®, a DXA model marketed to bariatric surgery patients, compared to other common body composition assessment methodologies.. 相似文献
945.
Previous studies of the movie industry have raised questions concerning the problematic relationship between the success-related
aspects of artistic excellence and commercial appeal. The present article proposes that—when the former is measured by industry
recognition (Oscars and other awards) and the latter by market performance (box office and video rentals) and when the former
hinges on the evaluative judgments of reviewers and consumers (ratings of excellence) and the latter on the level of buzz
among these audience members (amount of attention, word of mouth, or click of mouse)—the two phenomena are essentially separable
as independent paths to conceptually distinct and empirically uncorrelated aspects of motion-picture success. An analysis
of data for 190 movies from the year 2003 shows that reviewer-and-consumer evaluations and buzz respond differently to a film’s
marketing clout (production budget, opening screens, and opening box office) and that these audience responses contribute
independently to a film’s industry recognition and market performance along two separable paths. These findings suggest various
implications for movie marketers, film producers, actors or actresses, and other members of the motion-picture industry.
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Michela AddisEmail: |
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