METHODS: Using a purposive sampling method, this study was conducted on dietitians practising in the Malaysian hospitals (government and private). The Toronto Empathy Questionnaire (TEQ), a validated 16-item questionnaire was self-administered, either by online survey method or face-to-face method. Additional information on gender, ethnicity, years of experience and percentage of working time spent on clinical, administrative and other areas were collected.
RESULTS: A total of 69 dietitians participated in the study (private (n = 36) and government (n = 33)). The dietitians' mean total TEQ scores were 49.72 ± 5.62 (score ranged between 35 and 63). Significant difference of mean total TEQ scores was found between dietitians from private (51.06 ± 5.26) and government hospitals (48.27 ± 5.72). There was no significant difference in the level of empathy by gender, ethnicity, years of experience and percentage of time spent on clinical consultations, administration or others while at work.
CONCLUSIONS: Results from this study showed that there were differences in empathy level of Malaysian dietitians by work setting. This preliminary finding serves as a baseline for future studies and could facilitate the development of dietetics education in Malaysia.
RESULTS: Here, we present draft genome information for five agriculturally, biologically, medicinally, and economically important underutilized plants native to Africa: Vigna subterranea, Lablab purpureus, Faidherbia albida, Sclerocarya birrea, and Moringa oleifera. Assembled genomes range in size from 217 to 654 Mb. In V. subterranea, L. purpureus, F. albida, S. birrea, and M. oleifera, we have predicted 31,707, 20,946, 28,979, 18,937, and 18,451 protein-coding genes, respectively. By further analyzing the expansion and contraction of selected gene families, we have characterized root nodule symbiosis genes, transcription factors, and starch biosynthesis-related genes in these genomes.
CONCLUSIONS: These genome data will be useful to identify and characterize agronomically important genes and understand their modes of action, enabling genomics-based, evolutionary studies, and breeding strategies to design faster, more focused, and predictable crop improvement programs.