OBJECTIVE: This study aimed to determine the validity of the content and psychometric properties of HSOPSC 2.0 for use in Indonesian hospitals.

METHODS: The study was divided into three stages: translation, adaptation, and validation. Culture-adaptation was assessed using cognitive interviews with ten direct care nurses who worked in the hospital to evaluate their perceptions and the coherence of the translated items, response categories, and questionnaire directions. Content validity was also done by ten experts from academic and clinical settings. Finally, Confirmatory Factor Analysis (CFA) and reliability testing were conducted among 220 nurses from two Indonesian hospitals.

RESULTS: The cognitive test results indicated that the language clarity was 87.8 % and 84.5% for cultural relevance. The Content Validity Index (CVI) ranged between 0.73 to 1.00, while the construct validity results indicated that each factor had factor loadings above 0.4, from 0.47 to 0.65. The fit indices showed an acceptable fit for the data provided by the 10-factor model, with RMSEA = 0.052, SRMR = 0.089, and CFI = 0.87. The Pearson correlation coefficients between the ten subscales ranged from 0.276 to 0.579 (p < 0.05). The Cronbach's alpha for all sub-scales was more than 0.70, except for organizational learning - continuous improvement, response to error, and communication openness.

Methods: This study was conducted cross-sectional on 174 respondents, who were selected by using a simple random sampling method. Socio-demographic data and the use of the internet and media for health-related information were obtained via questionnaires.

Results: The most preferred social media used for searching and sharing health-related information was WhatsApp (73.6%), followed by Facebook (67.8%), Instagram (18.4%) and Twitter (17.2%). The social media preference related to socio-demographic data of age was statistically significant (P < 0.002), which had a medium effect. Furthermore, the media preference was not significantly related to health-related information searched or shared on social media and the frequency of usage.

OBJECTIVES: Our study intended to (i) resolve the taxonomic uncertainties between B. dorsalis and B. carambolae, (ii) reveal the population structure and global invasion routes of B. dorsalis across Asia, Africa, and Oceania, and (iii) identify genomic regions that are responsible for the thermal adaptation of B. dorsalis.

METHODS: Based on a high-quality chromosome-level reference genome assembly, we explored the population relationship using a genome-scale single nucleotide polymorphism dataset generated from the resequencing data of 487 B. dorsalis genomes and 25 B. carambolae genomes. Genome-wide association studies and silencing using RNA interference were used to identify and verify the candidate genes associated with extreme thermal stress.

RESULTS: We showed that B. dorsalis originates from the Southern India region with three independent invasion and spread routes worldwide: (i) from Northern India to Northern Southeast Asia, then to Southern Southeast Asia; (ii) from Northern India to Northern Southeast Asian, then to China and Hawaii; and (iii) from Southern India toward the African mainland, then to Madagascar, which is mainly facilitated by human activities including trade and immigration. Twenty-seven genes were identified by a genome-wide association study to be associated with 11 temperature bioclimatic variables. The Cyp6a9 gene may enhance the thermal adaptation of B. dorsalis and thus boost its invasion, which tended to be upregulated at a hardening temperature of 38 °C. Functional verification using RNA interference silencing against Cyp6a9, led to the specific decrease in Cyp6a9 expression, reducing the survival rate of dsRNA-feeding larvae exposed to extreme thermal stress of 45 °C after heat hardening treatments in B. dorsalis.