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Objective: To characterize the clinical findings in dogs and cats that sustained blunt trauma and to compare clinical respiratory examination results with post‐traumatic thoracic radiography findings. Design: Retrospective clinical study. Setting: University small animal teaching hospital. Animals, interventions and measurements: Case records of 63 dogs and 96 cats presenting with a history of blunt trauma and thoracic radiographs between September 2001 and May 2003 were examined. Clinical signs of respiratory distress (respiratory rate (RR), pulmonary auscultation) and outcome were compared with radiographic signs of blunt trauma. Results: Forty‐nine percent of dogs and 63.5% of cats had radiographic signs attributed to thoracic trauma. Twenty‐two percent of dogs and 28% of cats had normal radiographs. Abnormal auscultation results were significantly associated with radiographic signs of thoracic trauma, radiography score and presence and degree of contusions. Seventy‐two percent of animals with no other injuries showed signs of thoracic trauma on chest radiographs. No correlation was found between the radiographic findings and outcome, whereas the trauma score at presentation was significantly associated with outcome and with signs of chest trauma but not with the radiography score. Conclusion: Thoracic trauma is encountered in many blunt trauma patients. The RR of animals with blunt trauma is not useful in predicting thoracic injury, whereas abnormal chest auscultation results are indicative of chest abnormalities. Thorough chest auscultation is, therefore, mandatory in all trauma animals and might help in the assessment of necessity of chest radiographs.  相似文献   
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This study aimed to test taper functions and artificial intelligence (AI) models in order to estimate merchantable volumes of Japanese cedar (Cryptomeria japonica) trees in a homogenous plantation in southern Brazil. A total of 30 individuals were rigorously scaled and their total volumes were calculated, including those of the following log assortments: veneer, sawn, pulp and energy. Three AI models, i.e. two variants of k-nearest neighbours (KNN) instance-based classification (one and three nearest neighbours) and an artificial neural network (ANN) approach, were compared with three traditional taper models: fifth-order polynomial, fractional powers and the Garay model. The estimated volumes were compared with the actual volumes by means of the standard error (Syx), bias, precision and accuracy. Total volume estimates proved to be unbiased (maximum bias 5.42%), precise (maximum precision 9.28%) and accurate (maximum accuracy 10.79%) with all of the investigated models. The tested models tended to give lower bias, better precision and accuracy in the middle portion of the stems, but worse estimates at the base and tip (maximum bias ?12.41%). In general, the KNN models improved merchantable volume estimation, particularly KNN1, which is a straightforward and simple method. We conclude that AI techniques have appeal for application in forest inventories and that KNN is a particularly interesting alternative for tree volume estimation.  相似文献   
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Rapid abdominal enlargement and weight gain occurred in a four-year-old Rhodesian ridgeback bitch in late oestrus. The bitch was nulliparous. Severe cardiovascular dysfunction followed and an exploratory laparotomy was performed. A large, single, spheroid mass weighing 17 kg was located in the middle section of the left uterine horn. A diagnosis of sterile, focal, cystic endometrial hyperplasia was made from gross pathology, histopathol-ogy and bacteriology. The bitch made a complete recovery following an ovariohysterectomy.  相似文献   
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This paper describes a method which enables the similarity of diseases based upon their physical sign frequencies to be defined relative to bovine spongiform encephalopathy (BSE). The means of the absolute differences between the sign frequencies of BSE and the differential diagnoses were used as measure of similarity. Four sets of signs were compared. The most useful quantitative measurement of difference between the diseases was achieved when only the variant signs were used. Diseases that have a high similarity to BSE when the variant signs are compared are more likely to have case presentations that approximate to those found in BSE. These are the diseases that are most likely to be confused with BSE by clinicians. Previously published BSE differential diagnoses from clinical opinion and brain histopathology are reported and compared to the diseases used in this study.  相似文献   
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This study has described a method for generating the probability of a bovine spongiform encephalopathy (BSE) suspect being a true positive BSE case. A weighting equivalent to the clinical sign frequencies recorded in histopathologically confirmed BSE cases was assigned to 14 clinical observations and a clinical profile score for the case was generated by the summation of the weightings. This method was applied to 50 histopathologically confirmed (true positive cases) BSE suspects and 50 histopathologically unconfirmed (false positive cases) BSE suspects. The profile scores for the true positive BSE suspect cases were statistically significantly higher than the profile scores of the false positive BSE suspect cases (P = 0.0014) using a Mann-Whitney U non-parametric test. The mean profile score for the true positive cases was 944 and for the false positive scores was 879. Likelihood ratios for BSE suspects with different clinical profile scores were computed using different clinical profile score cut off point and ranges. A BSE suspect with profile score of 727 or above (the lowest cut off point) and 1037 or above (the highest cut off point) had likelihood ratios for being BSE of 1. 09 and 4.00 respectively. The likelihood ratios for a BSE suspect being a true positive BSE case in the profile score ranges 627-866, 867-966, 967-1036 and 1037-1067 were 0.35, 1.06, 1.30 and 4.0 respectively. Further investigations or a revisit may be justified in animals with a low probability of being BSE.  相似文献   
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