This paper explores the influence mechanism of artificial intelligence application on corporate green innovation with a sample of A-share listed companies in Shanghai and Shenzhen from 2010 to 2023. It is found that artificial intelligence application is significantly positively related to corporate green innovation. After robustness tests such as replacing core variables, excluding new crown epidemics, and excluding green innovation outliers, the finding remains unchanged, indicating that AI application significantly promote corporate green innovation. Further analysis reveals that the promotion effect of AI application on corporate green innovation is more obvious in high management shareholding ratio and non-heavily polluted enterprises, while it does not show a significant difference in the nature of ownership and industry attributes. The findings of this paper not only enrich the existing literature on AI application, but also provide empirical evidence on how governments can promote corporate green innovation.

This study examined the probability of death using survival data of individuals with diabetes. The main objective of this study was to identify the most appropriate distribution to represent the survival time of patients with diabetes from 50 individuals in the Bengkalis area using 1-parameter probability modeling, such as the Lindley (LL), Sujatha (SJ), Amarendra (AR), Devya (DV), and Shambhu (SB) distributions. The maximum likelihood method was used to estimate the parameter values of the distributions used in this study. In addition, graphical assessment (density-density plots) and numerical criteria (Akaike’s Information Criterion (AIC), -2 log likelihood (-2*l)) will be used to determine the most appropriate model. In most cases, the results obtained from the graphical assessment were consistent but differed from the numerical criteria. The model with the lowest AIC value (-2*l) is selected as most appropriate. Overall, the Amarendra and Devya distributions were identified as the most appropriate models.

Due to the ever increase in energy demand, it becomes imperative to design appropriate reactor for the conversion of available raw materials to energy source such as bio oil. A fluidized bed reactor is one the most promising reactor for the conversion of biomass to bio-oil via pyrolysis. This work take into consideration the design of fluidized bed reactor and its subsidiaries (cyclone, filter, condenser and feed hopper) to be used for bio-oil production using sawdust as the feedstock. The operating conditions were temperature between 400-6000C, pressure 9.9atm and flow rate 1.86m/s. From the design calculations, it was found that the volume of the reactor, area, height, diameter and minimum fluidized velocity were 15.0796mm3, 5026mm2, 300mm, 80mm and 1.86m/s respectively. The material for construction for the reactor is stainless steel because of its high thermal conductivity and resistance to corrosion.

Ammonia is widely used for production of many chemicals such as urea, and also as refrigerant in industrial systems. Ammonia is produced via the Haber process, in which nitrogen reacts with hydrogen in the presence of iron catalyst. The hydrogen is form by reacting natural gas and steam at high temperature. Ammonia synthesis is a reversible, thus temperature gradient occurs as the reaction progresses. The inlet temperature is usually high. To achieve this progressive temperature reduction a suitable packed bed reactor is required. A good configuration of a packed bed would help in reducing the complexities in the heat transfer equipment while ensuring a progressive reduction in temperature from the first to the fourth bed. Subsequently there is a decrease in the composition of hydrogen and nitrogen from bed to bed and a corresponding increase in ammonia conversion. This forms the bases of this design. To actualize the design, inlet operating conditions for the reactor were assumed to be 15m3/sec flow rate, pressure of 2.896 x 107Pa and temperature of 720k the diameter was calculated to be 1.5m. A gas velocity of 0.439m/s, reactor height 5.23m, mass of catalyst =14178.5kg, and volume of reactor zone/catalyst =4.051m3 were obtained.

Cyber-attacks on critical infrastructure can be disastrous and undermine states' national security. Different groups execute these attacks for varying reasons; some may be state-sponsored, and their attack for geopolitical reasons or to achieve strategic national cyber objectives. Regardless of the nation-state actor, it is essential to identify the techniques used and defend critical infrastructure against these attacks. This study evaluated the attack methodology of five nation-state actors based on the MITRE ATT&CK ICS matrix and proposed a multi-layered defense architecture. A virtual organization with critical and enterprise infrastructure domains was created, and the proposed defense architecture and tooling were implemented there. Then, techniques of the nation-state adversaries were emulated against the infrastructure to evaluate the performance of the defense strategies. The results show that the multi-layered approach was sufficient to mitigate all the techniques of the nation-state actors.

Regional connectivity plays a crucial role in supporting economic growth, especially for areas that are geographically remote or separated by bodies of water. As an archipelagic country, Indonesia heavily relies on sea transportation as the main axis of its maritime logistics routes, which connect various regions and support the distribution of goods as well as the mobility of people. Therefore, planning and developing transportation networks require accurate measurements, such as the connectivity index, to understand the extent to which a region is connected to others. This study aims to analyze the regional connectivity index of the islands in South Halmahera Regency, North Maluku, using a graph method approach. This method is employed to evaluate how well the districts in the regency are interconnected through sea routes. The results show that overall, maritime connectivity between regions in South Halmahera Regency is fairly good. From the analysis, 13 districts have a connectivity index of > 1, indicating good connectivity, while 17 districts have an index of < 1, indicating limited connectivity. These findings suggest a disparity in connectivity between regions in South Halmahera, highlighting the need for efforts to improve infrastructure and sea transportation networks to enhance inter-district connections, especially in areas with low connectivity indices.

Soil stabilization by combining several minerals is a form of material engineering aimed at increasing the bearing capacity of the soil to a higher level. The development of waste-based materials and the utilization of local potential are part of environmentally conscious construction. This study aims to analyses the mechanical behaviour of soil stabilized with several pozzolanic materials derived from nickel processing waste and limestone, which are local materials with very large deposits. ASTM standards were used in this study for both physical and mechanical testing. Unconfined compressive strength (UCS) tests were conducted to compare the mechanical behaviour of stabilized soil with that of natural soil. The test samples used were cylindrical with a diameter of 35 mm and a height of 70 mm. The binding materials consisted of nickel slag, aluminium hydroxide, and limestone, with the amount of each material based on the dry soil weight (γdry). The addition of lime in this study was varied at 2%, 4%, and 6%. The test results generally show that lime variations and curing time affect the increase in unconfined compressive strength (qu), with the highest value of 30.91 kg/cm² observed at 6% lime content after 28 days of curing.