Theory of runs

Call number: LD2668 .R4 1965 S53

Growth Restoration Studies in Frost-Affected Mango (Mangifera indica L.) Orchards in Sub-Himalayan Region

Frost is a major constraint in mango production in the sub- Himalayan region. To restore growth and productivity in frost-affected Dashehari mango orchards, effect of different growth-restoring treatments was studied at highly frost-sensitive, medium frost-sensitive, low frost-sensitive and frost-free locations. Foliar application of urea, benzyladenine, gibberellic acid (individually or in combination) was made during the post-spring season. As the cut ends of branches or damaged open area serve as entry points for the propagation of ice crystals through the vascular system in plants, the experiments were also carried out with and without prior winter covering of cut ends of branches with wax or polythene cover. At low and high frost-sensitive locations, 7 and 5.5 number of news shoots emerged, on average, per scaffold when frost-affected trees were sprayed with benzyladenine (BA 20ppm), followed by 2% urea spray after fifteen days. Better restoration of reproductive growth was observed with this treatment. Pre-winter waxing or polythene covering of the cut ends of branches was very effective in preventing lethal frost-damage (stem injury below 20cm) to the trees. Effect of benzyladenine and urea treatments was found to be additive in trees whose cut surfaces were waxed or covered with polythene sheets

Prediction Models for Frost/Low-Temperature Stress in Subtropical Fruit Plantations

During winters, frost is a phenomenon of common occurrence in subtropical lower Himalayan region. In the recent past, it has caused considerable economic losses to fruit growers. Recommendations for protection against frost do exist, but benefits to orchards are rare due to lack of information on the level of low temperature these crops may experience in a frosty event. Studies have been conducted at Regional Horticultural and Forestry Research Station, Neri, Hamirpur, Himachal Pradesh on development of prediction models for minimum temperature and temperatureevolution during a frost event. Variables like sunset-time temperature, temperature drop and humidity increase from sunset time until two hours, have been found to explain about 74% of the total variation observed in minimum temperature. Evolution of temperature during a frosty night showed that temperature drop after sunset was an inverse exponential function of time after sunset. It justified about 67% of the total variation in temperature-evolution trend. Thiel's inequality coefficient for predicted versus actual values indicated good to very good forecasting performance of the regression lines developed. Further decomposition of inequality into bias, variance and covariance proportions also supported fitness of these lines for future prediction. Based on the information generated, a grower-friendly frost protection guide-chart (S-chart) has been developed. The chart provides information on intensity and duration of temperature below the critical level of damage for different fruit species. It also serves as a guide for the level of protection needed and for automation of protection methods against frost and low temperature damage

Review on Cooling Performance of Transformers

A power transformer is connected that converts electricity from one wired circuit to the next until maintaining a steady frequency. A transformer is characterized as static equipment because it does not rotate or transform into something new. This study discusses the concept, classifications, and operating procedures of transformers. The fundamental operation of transformers is seen below

Physics-Guided Abnormal Trajectory Gap Detection

Given trajectories with gaps (i.e., missing data), we investigate algorithms to identify abnormal gaps in trajectories which occur when a given moving object did not report its location, but other moving objects in the same geographic region periodically did. The problem is important due to its societal applications, such as improving maritime safety and regulatory enforcement for global security concerns such as illegal fishing, illegal oil transfers, and trans-shipments. The problem is challenging due to the difficulty of bounding the possible locations of the moving object during a trajectory gap, and the very high computational cost of detecting gaps in such a large volume of location data. The current literature on anomalous trajectory detection assumes linear interpolation within gaps, which may not be able to detect abnormal gaps since objects within a given region may have traveled away from their shortest path. In preliminary work, we introduced an abnormal gap measure that uses a classical space-time prism model to bound an object's possible movement during the trajectory gap and provided a scalable memoized gap detection algorithm (Memo-AGD). In this paper, we propose a Space Time-Aware Gap Detection (STAGD) approach to leverage space-time indexing and merging of trajectory gaps. We also incorporate a Dynamic Region Merge-based (DRM) approach to efficiently compute gap abnormality scores. We provide theoretical proofs that both algorithms are correct and complete and also provide analysis of asymptotic time complexity. Experimental results on synthetic and real-world maritime trajectory data show that the proposed approach substantially improves computation time over the baseline technique

A unique case of recurrent uterine inversion requiring double reposition

Acute puerperal uterine inversion is a rare but life threatening complication of third stage of labour. The incidence varies widely between 1 in 2000 to 1 in 50,000 deliveries, largely dependent upon the standard of management of the third stage of labour. Acute uterine inversion occurs within 24 hours delivery; subacute between 24 hours and 4 weeks of delivery and chronic uterine inversion after 4 weeks or in the non pregnant state. Cases of subacute and chronic uterine inversion require surgical management