EFFECT OF SALT (NACL) STRESS ON GERMINATION AND EARLY SEEDLING GROWTH OF FOUR VEGETABLES SPECIES

Due to increasing salinity problems, in this experiment four vegetables species were treated with different concentration of salt solution to study salt effect. Results indicated that salinity caused signifi cant reduction in germination percentage, germination rate, root and shoot lengths and fresh root and shoot weights. Liner relation was developed to fi nd relation between salt stress and plant growth and also between germination and rest of plant characters

Effect of soil salinity on the growth, amino acids and ion contents of rice transgenic lines

Rice seedling of different transgenic lines (T-99, T-112, T-115 and T-121) were grown in sand culture with salt concentration of 0, 50, 100 and 150 mM to determine the effect of salinity on growth, amino acid, and ion contents. It was observed that all the lines could tolerate concentration of up to 50 mM of salt solution. The lines (T-99, T-112 and T-115) were more salt tolerant even at a concentration of 100 mM of NaCl with their relative growth rate (RGR), and net assimilation rate (NAR) were unaffected as compared to the control. With the increase in salt concentrations, the proline contents increased for all the transgenic lines. On the other hand, a gradual decrease in the contents of glycine and arginine were observed with the increase in salinity treatments. A massive increase in the Na+ contents was measured in all the transgenic lines by application of the saline solutions. The K+ and Ca++ contents decreased with the increase in salt concentrations. The present study shows that although the plants accumulated Na, the lines T-99, T-112 and T-115 could tolerate concentrations of up to 100 mM.Key words: Salt stress, proline, glycine, Na, K, Ca, Oryza sativa

ChatGPT versus human in generating medical graduate exam multiple choice questions-A multinational prospective study (Hong Kong S.A.R., Singapore, Ireland, and the United Kingdom).

IntroductionLarge language models, in particular ChatGPT, have showcased remarkable language processing capabilities. Given the substantial workload of university medical staff, this study aims to assess the quality of multiple-choice questions (MCQs) produced by ChatGPT for use in graduate medical examinations, compared to questions written by university professoriate staffs based on standard medical textbooks.Methods50 MCQs were generated by ChatGPT with reference to two standard undergraduate medical textbooks (Harrison's, and Bailey & Love's). Another 50 MCQs were drafted by two university professoriate staff using the same medical textbooks. All 100 MCQ were individually numbered, randomized and sent to five independent international assessors for MCQ quality assessment using a standardized assessment score on five assessment domains, namely, appropriateness of the question, clarity and specificity, relevance, discriminative power of alternatives, and suitability for medical graduate examination.ResultsThe total time required for ChatGPT to create the 50 questions was 20 minutes 25 seconds, while it took two human examiners a total of 211 minutes 33 seconds to draft the 50 questions. When a comparison of the mean score was made between the questions constructed by A.I. with those drafted by humans, only in the relevance domain that the A.I. was inferior to humans (A.I.: 7.56 +/- 0.94 vs human: 7.88 +/- 0.52; p = 0.04). There was no significant difference in question quality between questions drafted by A.I. versus humans, in the total assessment score as well as in other domains. Questions generated by A.I. yielded a wider range of scores, while those created by humans were consistent and within a narrower range.ConclusionChatGPT has the potential to generate comparable-quality MCQs for medical graduate examinations within a significantly shorter time