This paper aims to contribute with a literature review on the use of AI for cleaner production throughout industries in the consideration of AI’s advantage within the environment, economy, and society. The survey report based on the analysis of research papers from the recent literature from leading database sources such as Scopus, the Web of Science, IEEE Xplore, Science Direct, Springer Link, and Google Scholar identifies the strategic strengths of AI in optimizing the resources, minimizing the carbon footprint and eradicating wastage with the help of machined learning, neural networks and predictive analytics. AI integration presents vast aspects of environmental gains, including such enhancements as a marked reduction concerning the energy and materials consumed along with enhanced ways of handling the resulting waste. On the economic aspect, AI enhances the processes that lead to better efficiency and lower costs in the market on the other hand, on the social aspect, the application of any AI influences how people are utilized as workers/clients in the community. The following are some of the limitations towards AI adoption as proposed by the review of related literature; The best things that come with AI are yet accompanied by some disadvantages; there are implementation costs, data privacy, as well as system integration that may be a major disadvantage. The review envisages that with the continuation of the AI development in the following years, the optic is going to be the accentuation on the enhancement of the process of feeding the data in real-time mode, IoT connections, and the implementation of the proper ethical approaches toward the AI launching for all segments of the society. The conclusions provide precise suggestions to the people working in the industry to adopt the AI advancements appropriately and at the same time, encourage the lawmakers to create favorable legal environments to enable the ethical uses of AI. This review therefore calls for more targeted partnerships between the academia, industry, and government to harness the full potential of AI for sustainable industrial practices worldwide.

Concession agreements (CAs) in the port sector are designed to establish mutually beneficial arrangements for involved parties. They serve as catalysts, enabling ports to attract adept private investors and secure requisite funding to enhance port infrastructure, superstructure, and service quality. Concurrently, the imperative to mitigate negative externalities and promote sustainable practices in port organization and development remains paramount. In this context, the paper explores the nuanced landscape of CAs, specifically focusing on the urgent need for an innovative framework that integrates sustainability within port organization, operations and development. Drawing from existing academic discourse and field evidence, it systematically identifies, examines, and analyzes fundamental requirements and key factors that should be considered in CAs, in line with sustainable development and proposes a reference framework for an ideal Concession Agreement model. Despite evident strengthening of sustainability implications in port concessions, significant room for improvement persists. Nevertheless, dynamics in the field create a certain optimism for the future.

Competency-based education is one of the many important educational objectives in the cultivation of senior vocational talents. In the past education model, the importance of achievement is greater than ability. Teachers rely on the scores of test papers to classify students' grades. Competency-based education has changed this situation very well, paying special attention to students' ability training. This paper mainly studies how to better promote the reform and innovation of English teaching in higher vocational colleges and strengthen students' learning ability and vocational skills while ensuring students' ability development.

The Convention on the Rights of Persons with Disabilities (CRPD) constitutes a crucial international framework that underscores the significance of inclusive education for individuals with disabilities, a vital goal for nations globally. This study seeks to examine the alignment of the recently established Saudi Law on the Rights of Persons with Disabilities (SLRPD) with the CRPD in the educational sector. The study employs a comparative analytical methodology to examine pertinent legal material and international treaties regarding inclusive education for individuals with disabilities. The findings indicate that the SLRPD substantially improves the rights of persons with disabilities by facilitating access to educational opportunities. Article 8 of the bill significantly enhances Saudi Arabia’s adherence to Article 24 of the CRPD objectives regarding inclusive education. The report emphasizes Saudi Arabia’s dedication to the ongoing evaluation and enhancement of its legal frameworks to facilitate access to educational opportunities for disabled children and youth. Under Saudi Arabia’s Vision 2030, the Kingdom has made significant strides in assisting those with disabilities, aligning with worldwide norms and its strategic goals. The research advises nations to intensify their initiatives for inclusive education by bolstering intersectoral collaboration, amplifying awareness activities, and cultivating relationships with international organizations. These measures will not only guarantee ongoing adherence to the CRPD but will also empower persons with disabilities to attain sustainable educational opportunities.

Preserving roads involves regularly evaluating government policy through advanced assessments using vehicles with specialized capabilities and high-resolution scanning technology. However, the cost is often not affordable due to a limited budget. Road surface surveys are highly expected to use low-cost tools and methods capable of being carried out comprehensively. This research aims to create a road damage detection application system by identifying and qualifying precisely the type of damage that occurs using a single CNN to detect objects in real time. Especially for the type of pothole, further analysis is to measure the volume or dimensions of the hole with a LiDAR smartphone. The study area is 38 province’s representative area in Indonesia. This research resulted in the iRodd (intelligent-road damage detection) for detection and classification per type of road damage in real-time object detection. Especially for the type of pothole damage, further analysis is carried out to obtain a damage volume calculation model and 3D visualization. The resulting iRodd model contributes in terms of completion (analyzing the parameters needed to be related to the road damage detection process), accuracy (precision), reliability (the level of reliability has high precision and is still within the limits of cost-effective), correct prediction (four-fifths of all positive objects that should be identified), efficient (object detection models strike a good balance between being able to recognize objects with high precision and being able to capture most objects that would otherwise be detected-high sensitivity), meanwhile, in the calculation of pothole volume, where the precision level is established according to the volume error value, comparing the derived data to the reference data with an average error of 5.35% with an RMSE value of 6.47 mm. The advanced iRodd model with LiDAR smartphone devices can present visualization and precision in efficiently calculating the volume of asphalt damage (potholes).

English writing is an important output skill cultivated in college English courses. And in the age of informationization, college English writing teaching relies on the support of information technology. In order to cope with the solution of this dilemma, Production-Oriented Approach(POA) proposes Teacher-Student Collaborative Assessment (TSCA), which creates a new form of assessment. Through TSCA, teachers can not only alleviate the heavy teaching load, but also fully tap the network resources to efficiently use students' time before, during and after class to maximize and optimize the teaching effect. In this paper, the teaching concept of TSCA is used to conduct writing teaching experiments, to study and analyze the writing ability of students who write effectively, so as to provide insights for the practice of English writing teaching.