Factors influencing artificial intelligence (AI) adoption among Malaysian students: A partial least square-structural equation modeling approach

Background and Purpose: Artificial Intelligence (AI) is transforming higher education by enhancing learning experiences through personalised instruction, automated assessments, and intelligent tutoring systems. In Malaysia, AI adoption among students is gaining momentum, and it is influenced by digital literacy, perceived usefulness, and social influence. This study examines the key factors influencing AI adoption among Malaysian students. Methodology: A survey research design was employed, utilising a structured questionnaire distributed to 286 students across four Malaysian universities. 224 valid responses were analysed using Partial Least Square (PLS-SEM) to test the hypothesised relationships among the variables. Findings: Results indicate that social influence has the most substantial effect on AI adoption (β = 0.503, p < 0.001), followed by perceived usefulness (β = 0.236, p < 0.001) and digital literacy (β = 0.188, p = 0.036). These findings suggest that students are more likely to adopt AI when they observe peers and educators using it effectively. Additionally, students who perceive AI as beneficial for academic performance are more willing to engage with AI technologies. Implication: The study contributes to understanding AI adoption in higher education; institutions can better prepare students for an AI-driven academic and professional landscape by addressing the identified factors. Keywords:  AI adoption, digital literacy, Malaysian students, perceived usefulness, social influence

Collaboration Between Actors in Handling Beggs in Aceh Utara

Study This aims To analyze collaborative policies and processes in handling beggars in North Aceh District. formation collaboration between actors related to North Aceh District has bonded tightly with condition social and economic local. Collaboration This appears as a response to problems caused by the existence of a beggar and aims To give a comprehensive solution. Qualitative method used with data collection through interviews, documentation, and observation. Beggar appears Due to incompatibility between standard living and rate income as well as the growth rapid population, no can be avoided that there will be a number big fewer people lucky in a manner economy. As a result, many people will lose work so beggars will continue to increase every year. Under the Ansell and Gash Collaborative Governance model, Collaboration in handling beggars can be distinguished become three types, that is primary, secondary, and tertiary collaborations. condition beginning collaboration influenced by some phenomena, incl structure networking, commitment, and mutuality belief. There are also factors inhibitors and support collaboration. Research results show that moment These binding rules every agency related to handling beggars follows established regulations in Constitution Number 11 of 2009 concerning Well-being Social. Collaborative process This involved the Social Service and Satpol PP, while the Health Office was involved in the aspect of health beggar. Although the domination of Social Service in handling, collaboration has walked in handling beggars in North Aceh District. Supporting factors is actor commitment whereas factor inhibitor does Not yet exists bylaws and houses stop by to accommodate beggar. Expected results study This can give a base For increased policy and collaboration in handling beggars in North Aceh District

International Nosocomial Infection Control Consortium report, data summary of 50 countries for 2010-2015: Device-associated module

•We report INICC device-associated module data of 50 countries from 2010-2015.•We collected prospective data from 861,284 patients in 703 ICUs for 3,506,562 days.•DA-HAI rates and bacterial resistance were higher in the INICC ICUs than in CDC-NHSN's.•Device utilization ratio in the INICC ICUs was similar to CDC-NHSN's. Background: We report the results of International Nosocomial Infection Control Consortium (INICC) surveillance study from January 2010-December 2015 in 703 intensive care units (ICUs) in Latin America, Europe, Eastern Mediterranean, Southeast Asia, and Western Pacific. Methods: During the 6-year study period, using Centers for Disease Control and Prevention National Healthcare Safety Network (CDC-NHSN) definitions for device-associated health care-associated infection (DA-HAI), we collected prospective data from 861,284 patients hospitalized in INICC hospital ICUs for an aggregate of 3,506,562 days. Results: Although device use in INICC ICUs was similar to that reported from CDC-NHSN ICUs, DA-HAI rates were higher in the INICC ICUs: in the INICC medical-surgical ICUs, the pooled rate of central line-associated bloodstream infection, 4.1 per 1,000 central line-days, was nearly 5-fold higher than the 0.8 per 1,000 central line-days reported from comparable US ICUs, the overall rate of ventilator-associated pneumonia was also higher, 13.1 versus 0.9 per 1,000 ventilator-days, as was the rate of catheter-associated urinary tract infection, 5.07 versus 1.7 per 1,000 catheter-days. From blood cultures samples, frequencies of resistance of Pseudomonas isolates to amikacin (29.87% vs 10%) and to imipenem (44.3% vs 26.1%), and of Klebsiella pneumoniae isolates to ceftazidime (73.2% vs 28.8%) and to imipenem (43.27% vs 12.8%) were also higher in the INICC ICUs compared with CDC-NHSN ICUs. Conclusions: Although DA-HAIs in INICC ICU patients continue to be higher than the rates reported in CDC-NSHN ICUs representing the developed world, we have observed a significant trend toward the reduction of DA-HAI rates in INICC ICUs as shown in each international report. It is INICC's main goal to continue facilitating education, training, and basic and cost-effective tools and resources, such as standardized forms and an online platform, to tackle this problem effectively and systematically