Iterative Image Generation via Voice Interaction with an Image Generation Model

Image generation models enable users to generate images by providing instructions. However, such models cannot be invoked with voice commands and are also unable to update a prior image based on the user instruction. This disclosure describes techniques that enable users to obtain and refine images by iteratively interacting with an image generation model in real time, e.g., via voice commands to a virtual assistant. Implementation of the techniques can enable users to use their voice and imagination for artistic visual expression. The techniques can be provided via a virtual assistant available via a smart speaker, smartphone, or other device. The techniques incorporate appropriateness checks for the input query and/or the output image, thus ensuring that the interactive experience is safe and trustworthy

Component traits influencing seed yield in recombinant inbred lines of lentil (Lens culinaris Medik.)

One hundred and thirty five RILs (Recombinant Inbred Lines) developed from a cross between an indigenous and exotic line of lentil (Lens culinarisMedik.)were evaluated for seed yield and component traits during rabi 2012-13 and 2013-14. Pooled analysis of variance revealed significant differences among the RILsfor all the traits studied. This suggested that there was ample scope for selection of promising RILs for yield improvement in lentil. Phenotypic and genotypic coefficients of variation were high for pods per plant(32.49% and 26.75%) followed by biological yield per plot(24.38% and 21.28%). Genetic advance was highest for 100-seed weight(47.75%)followed by pods per plant(45.39%). Estimation of phenotypic correlation coefficients indicated that seed yield per plot expressed highly significant and positive correlation with biological yield per plot(0.634), harvest index(0.300) and seeds per pod(0.156). Path coefficient analysis revealed that the traits; biological yield per plot , harvest index, number of pods per plant, days to 50% flowering, days to maturity , plant height and primary branches per plant had positive direct effect on seed yield per plot. The selection of these traits would be helpful for further yield improvement in lentil

Moisture stress induced changes in metabolites and cellular functions in chickpea (Cicer arietinum L.) genotypes

The present investigation was aimed to study influence of moisture stress in in vitro identified tolerant (GL28151, RSG963, PDG3) and sensitive (GL22044, GNG1861, PBG1) chickpea genotypes under field conditions. Moisture stress treatments included crop sown with one pre-sowing irrigation (WSVFP), irrigation withheld at flower initiation stage (WSF), irrigation withheld at pod initiation stage (WSP) and control (irrigated as and when required). Osmolytes (in seeds) viz. total soluble sugars, starch, proline, cellular functions; relative water content, membrane permeability index and lipid peroxidation (in leaves), antioxidant enzymes (at pod filling stage) viz. peroxidase, catalase, superoxide dismutase, glutathione reductase were estimated in chickpea seeds under control and stressed conditions. WSVFP was most severely affected by moisture stress followed by WSP and WSF and emphasized on pod intuition stage as critical stage attributable to hindered transport of assimilates towards formation of pods and development of seeds under stress imposed by lack of sufficient moisture. Highest accumulation of total soluble sugars (73.33), starch (73.12), proline (2.04) in mg/g fresh weight, least percentage reduction over control in relative water content (20.3), membrane permeability index (18.8) and minimal lipid peroxidation (31.3) accompanied by significantly enhanced activities of antioxidant enzymes under WSVFP rendered moisture stress tolerance in RSG963. The pronounced cellular damage, lesser alleviation in the content of osmolytes, antioxidant enzymes activity was observed in sensitive genotype GL22044 under stress treatments. High molecular weight protein bands were found either absent or of low intensity in sensitive genotypes (GL22044, GNG1861 and PBG1) under severe stress treatment (WSVFP)

Salinity induced physiological and biochemical changes in chickpea (Cicer arietinum L.) genotypes

Plant growth and development are adversely affected by salinity- a major environmental stress that limits agricultural production. Chickpea (Cicer arietinum L.) is sensitive to salinity that affects its yield and there is need to identify the tolerant genotypes. The present study was conducted to evaluate the effect of salinity on chickpea genotypes with specific physiological and biochemical attributes contributing to their adaptability to salinity stress. Seven chickpea genotypes both desi (ICC8950, ICCV10, ICC15868, GL26054) and kabuli (BG1053, L550, L552) were evaluated for salinity tolerance. Maximum decrease in relative leaf water content and chlorophyll content was observed with ICC15868 and GL26054 among the desi and L552 from the kabuli genotypes. The photosynthetic pigments, activity of nitrate reductase and relative leaf water content was also reduced in response to salt application with effect being more pronounced in ICC15868, GL26054 and L552 as compared to ICC8950, ICCV10, BG1053 and L550. Lipid peroxidation increases with the increase in NaCl concentration, maximum increment was observed in genotypes ICC15868, GL26054 and L552. Accumulation of proline in response to environmental stresses seems to be widespread among plants. Higher protein fractions were observed with tolerant genotypes in contrast to sensitive genotypes. Salt imposed stress finally caused a higher decline in number of filled pods. On the basis of physiological and biochemical parameters genotypes ICC8950 and ICCV10 from the desi genotypes and BG1053 and L550 from kabuli were identified as the tolerant while ICC15868, GL26054 as the sensitive ones and L552 as the moderately tolerant genotypes. These genotypes could be used as a source of tolerance in breeding programme to develop salt tolerant genotypes

A comparative clinical study on Udvartana with Shaileyadi Churna and Yoga Asanas in Sthaulya

Obesity has reached epidemic proportions in India in the 21st century. Sedentary life style and unhealthy food habits being a major causative factors, resulting in many serious systemic complications like Diabetes, Heart disease etc. Udvartana is commonly practiced and this therapy explained to be Kaphahara and Meda Pravilayana property. Asana is the first step of Hatayoga. One should practice Asanas to obtain Sthairya, Arogya and Laghuthva. Sthoulya is one such disease where Asanas are useful in reducing the weight and their complications. A Comparative clinical Study of 40 patients suffering from Sthaulya were selected after thorough history taking, clinical assessment and laboratory investigations. Patients were subjected to Udvartana using in Shaileyadi Churna, Group A and Udvartana with Shaileyadi churna and Asanas in Group B for a period of 14 days where in the procedure was carried out daily for 45 min

Unravelling the potential of susceptibility genes in plant disease management: Present status and future prospects

The increasing global population requires an equivalent increase in food production to meet the global food demand. Crop production is challenged by various biotic and abiotic stresses, which decrease crop yield and production. Thus, proper disease management for crops ensures global food security. Various chemical, physical, and biological disease control methods have been devised and used for plant protection. However, due to the low efficiency of these methods, modern research has shifted to genetic engineering approaches. The recent advances in molecular techniques have revealed the molecular mechanisms controlling the plant’s innate immune system and plant-pathogen interactions. Earlier studies revealed that the pathogens utilize the susceptibility (S) genes in hosts for their sustainability and disease development. The resistance achieved by suppressing the S genes expression provides resistance against pathogens. Exploiting S genes for imparting/enhancing disease resistance would offer a more durable and effective alternative to conventional disease control methods. Therefore, the present review highlights the potential of this novel tool for inducing disease resistance in plants

Improving Automatic Speech Recognition by Co-embedding Voice Queries and Voice Query Refinements

Automatic speech recognition (ASR) models are used to recognize voice commands or queries from users in hardware products such as smartphones, smart speakers/displays, as well as applications that enable speech interaction, e.g., virtual assistant applications. However, the query abandonment rates for voice queries continue to be much higher than text queries which is often due to incorrect interpretation of the spoken query. This disclosure describes techniques to improve the performance of recognition of spoken queries by combining user specific phonetic variations and session specific contextual signals, obtained with specific user permission

Introgression of productivity and other desirable traits from ricebean (Vigna umbellata) into black gram (Vigna mungo)

Crosses were performed to introgress genes for productivity and other desirable traits from ricebean (Vigna umbellata) into black gram (Vigna mungo). Crossability was very poor in black gram × ricebean crosses, and only two to nine true hybrid plants were obtained. Plant fertility was very poor in initial generations, but was improved gradually from F2 onwards. Twenty-four uniform progenies, bulked in F7, were evaluated for yield potential. The percentage increase/decrease in yield ranged from −35.48 to 50.31 over the check cultivar (‘Mash338’, female parent). All the progenies were found resistant to Mungbean yellow mosaic virus, Cercospora leaf spot and Bacterial leaf spot diseases. Overall, it was found that desirable traits such as high pod number, seed weight, productivity and resistance to diseases have been introgressed successfully into black gram from ricebean. A derivative line, KUG114, recorded yield superiority of 39.45% over the check cultivar ‘Mash338’ on the average of 14 multilocation research trials. It was released under the name ‘Mash114’ for cultivation in the Punjab state

Urdbean variety Mash 391

Mash 391, an urdbean (Vigna mungo L. Hepper) variety was developed by Pulses Section, Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana. It was identified by the All India Group Meet of MULLaRP and Pigeonpea Workers held on May 16-18, 2010 at CSKHPKV, Palampur. This variety was released and notified by the Central Sub- Committee on Crop Standards Notification and the Release of the vaieties for Agricultural Crops Govt. of India vide notification Number 3-8/2010-SD-IV dated January 11, 2011 for commercial cultivation in South Zone consisted of Karnataka, Andhra Pradesh, Orissa and Tamil Nadu states in summer season..

Dynamic Throttling of In-App Promotions to Reduce Marketing Spend Based on Machine-Learning

This document describes a technique of dynamically throttling a promotion or content item placement to reduce marketing spending using machine-learning. A data processing system can determine a click score or an auction score based on various factors. The data processing system can further determine a threshold, for example, by predicting an annoyance effect of showing the promotion or the content item to a user. If the click score or the auction score is below the threshold, the data processing system can throttle the promotion or the content item placement such that the promotion or the content item is not shown to the user