This study examines cultural risks in led outdoor activity programs, highlighting how cultural perceptions and system design factors interact to influence safety context. Using Hofstede’s dimensions and social identity factors (e.g., ability, gender, ethnicity, social class), the analysis reveals how a Western paradigm can misalign with participants’ and local cultural norms. The authors adapted the NET-HARMS risk assessment method (Dallat et al., 2017) to examine cultural perceptions in program design, planning, and delivery through a mock scenario. The analysis achieved acceptable validity and revealed a significant increase in identified risks when culture was considered in risk assessment, indicating culture’s significant role in overall risk management. Contextualizing these findings within the Mangatepopo Canyon tragedy and safety science, this paper offers a pathway to more culturally relevant and ultimately safer LOA programs. Implications for further research and practice are discussed.
Permeability coefficient (kp) is routinely used to quantify the movement of chemicals across the skin. Log octanol-water partition coefficient (log Kow) and molecular weight (MW) are often incorporated into skin permeation models to generate the kp. Given that the same dataset is used to estimate skin permeation, novel approaches are required to achieve targeted and accurate results. The main goal of this study is to identify a prioritization scheme for quantitative structure-permeability relationships (QSPRs) when using two molecular descriptors, log Kow and MW. A second goal is to determine whether classification based on functional groups and structural similarities enhances the existing QSPR models. Ten QSPR models using log Kow and MW were reviewed to identify the predictive ability of kp using a comprehensive dataset. The dataset was filtered to identify molecules with structural and functional group similarities, and the resulting subset was subjected to the QSPRs used in the preceding analysis to demonstrate improvements in predictive performance. By comparing the kp predictions of the QSPRs to measured kp values, we were able to devise a systematic approach to improve the predictive ability of QSPRs. Using the proposed hierarchical approach, researchers can select an appropriate QSPR model to accurately predict the dermal kp of a given chemical compound. Such predictions can be a viable alternative to experimentation, which can be resource-intensive.
Megaprojects are known for their budgets exceeding one billion dollars, prolonged timelines, and a complex contractor’s management environment. They are at the center of industrial development, specifically in the Gulf Cooperation Council (GCC) region under initiatives such as the United Arab Emirates’ sustainability agenda and Saudi Vision 2030. Despite advances in technical controls and risk systems, megaprojects still struggle to prevent serious injuries and fatalities. This indicates that compliance alone does not create a mature safety culture. This paper reviews the literature on safety culture transformation, leadership accountability, and mega-project governance, generating lessons from global case studies such as the Macondo/Deepwater Horizon disaster, the United Kingdom’s cross-rail project, and Qatar’s World Cup construction programs. The analysis demonstrates that leadership accountability at board, project director, and site levels is an essential element for cultural maturity, shifting organizations from dependent or independent safety stages to interdependent, high- performing cultures. In this paper, a three-level accountability cascade framework is proposed to link executive governance with frontline behaviors. Implications are discussed for GCC megaprojects, where reputational, ESG, and legal pressures come together. The paper concludes that without executive-level ownership, safety culture transformation in megaprojects is becoming superficial.
Digital economy has become a driving force for the high-quality development of regional economy that cannot be ignored. Under the background of the continuous progress and promotion of digital technology, the digital economy industry is developing rapidly, and more enterprises are turning their attention to the digital transformation. Digital economy has become a new engine to promote the regional economy. Digital economy can bring new impetus to regional economy and enhance regional economic competitiveness and development level. At the same time, the digital economy can also promote the optimal allocation of resources, improve efficiency, reduce costs, and bring new vitality to the regional economy.
ABSTRACTS : The problem that arises when using solar panels is the unstable output due to the intensity of sunlight received. The greater the intensity of sunlight, the greater the voltage generated. One of the supporters of the application of SCC (Solar Charger Controller) is a dc-dc converter. Zeta converter is a DC-DC converter that can be used to regulate the voltage on solar panels to produce maximum power on solar panels. Therefore, a zeta converter circuit is used which is controlled by a solar charger controller using the fuzzy method. With this fuzzy method, it is expected to produce a stable output (14Volt). Fuzzy logic control with the mamdani method uses 5 error membership functions (NB, NK, Z, PK and PB) and 5 delta error membership functions (dNB, dNK, dZ, dPK and dPB), and 5 membership functions (K, AK, S, AB and B) output in the form of a single tone. The test results found the response signal value of fuzzy logic control, namely for response time (tr) = 2.266 seconds, overshoot = 0%, settling time (ts) = 5.074 seconds, and Error (ess) = 1%, from the parameters that have been applied and the results show that the voltage output value is stable and can run according to the design that has been made ABSTRAK: Permasalahan yang muncul saat menggunakan solar panel adalah output yang tidak stabil akibat intensitas sinar matahari yang diterima. Semakin besar intensitas sinar matahari, semakin besar tegangan yang dihasilkan. Salah satu pendukung penerapan SCC (Solar Charger Controller) adalah konverter dc-dc. Konverter Zeta adalah konverter DC-DC yang dapat digunakan untuk mengatur tegangan pada panel surya untuk menghasilkan daya maksimum pada panel surya. Oleh karena itu digunakan rangkaian zeta converter yang dikendalikan dengan solar charger controller dengan menggunakan metode fuzzy. Dengan metode fuzzy ini diharapkan dapat menghasilkan keluaran yang stabil (14Volt). Kontrol logika fuzzy dengan metode mamdani menggunakan 5 fungsi keanggotaan error(NB, NK, Z, PK dan PB) dan 5 fungsi keanggotaan delta error (dNB, dNK, dZ, dPK dan dPB), serta 5 fungsi keanggotaan (K, AK, S, AB dan B) keluaran berupa single tone. Hasil pengujian ditemukan nilai sinyal respon dari kontrol logika fuzzy yaitu untuk respon time (tr) = 2,266 detik, overshoot = 0 %, settling time (ts) = 5,074 detik, dan Error (ess) = 1%, dari parameter yang telah diterapkan dan menunjukkan hasil bahwa nilai keluran tegangan stabil dan dapat berjalan sesuai perancangan yang telah dibuat.
