Article
Green & Sustainable Science & Technology
Franciely Velozo Aragao, Daiane Maria de Genaro Chiroli, Fernanda Cavicchioli Zola, Emanuely Velozo Aragao, Luis Henrique Nogueira Marinho, Ana Lidia Cascales Correa, Joao Carlos Colmenero
Summary: The concept of smart cities has become increasingly important in recent years, with public managers planning investments to transform their cities. However, existing maturity models often fail to meet their goals. Therefore, this research aims to develop a maturity model based on social and technological indicators to assess the smartness of a city.
Article
Business
Kerem Elibal, Eren Ozceylan
Summary: This paper conducts a comparison of four Industry 4.0 maturity models using TQM principles, and applies fuzzy logic principles for analysis and decision making. The results show that the model by Schumacher et al. (2016) has the highest score in terms of alignment with TQM principles.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Environmental Studies
Lu Liu, Jingjing Pei, Huiquan Wang, Yun Luo
Summary: Urban resilience assessment is crucial for the safe and stable operation of cities. This study uses a multi-factor comprehensive assessment model to analyze the level of urban safety resilience and provide decision-making support for city managers.
Article
Computer Science, Artificial Intelligence
Cansu Altan Koyuncu, Erdal Aydemir, Ali Cem Basarir
Summary: The study employs various maturity models and compares them to find the most suitable one for Industry 4.0. By using the FTOPSIS and IFTOPSIS methods, the seven model properties are compared and the Impuls readiness maturity model is chosen by decision makers for a solar cell manufacturing company.
Article
Environmental Studies
S. Charles Ruskin Kumar, R. Anuradha, R. Dharmaraj
Summary: The study experimentally explored the properties of ultra-high performance concrete and focused on increasing its performance through resource optimization and additive materials. Results showed that 2% of 13 mm steel fibers with 150 mm spacing of shear connector provided better results compared to other combinations under pure bending.
Article
Multidisciplinary Sciences
Shengteng Qu, Huan Chen, Zhuge Shen, Haoxiang Ma
Summary: Due to societal factors, small rural water resources projects in China face management problems. This study evaluates the performance of management mode of small water resources projects in Guangdong Province using an improved TOPSIS model combined with the entropy weight method. The evaluation index system considers the coverage, hierarchy, and systematization of indicators to ensure a management mode with high environmental adaptability. The results suggest that the water user association management mode is the most suitable for small water resources projects in Guangdong Province.
Article
Environmental Sciences
Khaoula Houssini, Yong Geng
Summary: Green growth is crucial for developing countries, with Morocco prioritizing it along with sustainable energy practices. The study found that Morocco's comprehensive evaluation index of green growth has been increasing over the years, but the growing resource investment and economic benefit indices are accompanied by increasing environmental impacts.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Studies
Liyin Shen, Xiaoyun Du, Guangyu Cheng, Xiaoxuan Wei
Summary: Carbon emissions are a major factor affecting sustainable urban development, and cities are implementing low carbon city strategies to reduce emissions. However, existing assessment methods often overlook the effects of individual dimensions like industrial structure and energy efficiency. This study proposes a new method, LCC-CMM, to assess both overall and dimensional LCC performance, helping policymakers identify weak areas and improve them with tailored measures.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2021)
Article
Multidisciplinary Sciences
Timea Czvetko, Gergely Honti, Janos Abonyi
Summary: This paper identifies the external regional success factors for implementing Industry 4.0 solutions through analyzing readiness models. The developed I4.0+ readiness index correlates with regional economic, innovation, and competitiveness indexes, highlighting the importance of enhancing regional I4.0 readiness.
Article
Construction & Building Technology
Farid Bouziadi, Bensaid Boulekbache, Touhami Tahenni, Abdelkader Haddi, Mostefa Hamrat, Sofiane Amziane
Summary: This study proposes a new approach to predict the long-term thermal compressive and tensile uniaxial basic creep behavior of high-performance concrete at different temperature levels. The results show that thermal shrinkage plays an important role in the estimation of basic creep, and increasing the temperature amplifies the rate and magnitude of basic creep and thermal stress.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Hui Ran
Summary: As an important supplement to financial institutions in China, micro-loan companies serve agriculture, rural areas, farmers, small and micro enterprises, and individuals, to some extent, alleviating their financing difficulties and regulating private finance. However, due to inadequate risk management, the risk problem has become increasingly prominent in micro-loan companies, which face certain risk management issues with the continuous growth of rural credit loan amounts and increasing microfinance lending customers. This paper proposes the SVNN-MABAC method, which uses Hamming distances of single-valued neutrosophic sets (SVNSs) and maximizing deviation method (MDM) to evaluate the performance of sustainable microfinance groups lending under SVNSs.
Article
Engineering, Industrial
Cassia Taisy Alencar de Andrade, Ana Paula Henriques de Gusmao, Wladson Silva
Summary: This study proposes a model for evaluating the maturity of organizations when applying the WCM system, which was applied in four companies and received positive evaluations and acceptance. The model aims to provide a new tool for evaluating the performance of production systems of companies that use WCM in a VUCA environment.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Chun Fu, Huimin Zhang
Summary: The establishment of a scientific and reasonable evaluation index system for eco-livable cities helps analyze the level of sustainable development of cities and the quality of life of residents, thus promoting high-quality development of cities. This paper establishes a multidimensional evaluation index system based on the Theory of Synergism of Five Laws and analyzes the trends of the evaluation value and coupling coordination degree of five systems in Beijing. The results show that the ecological livability of Beijing generally maintains an upward trend and reaches a well-coordinated level in 2021, but the development level of each system is constrained by different factors. Based on the above results, this paper proposes policy recommendations to improve the ecological livability of cities.
Article
Multidisciplinary Sciences
Paulo Francisco de Almeida-Neto, Rafaela Catherine da Silva Cunha de Medeiros, Dihogo Gama de Matos, Adam D. G. Baxter-Jones, Felipe J. Aidar, Gilmara Gomes de Assis, Paulo Moreira Silva Dantas, Breno Guilherme de Araujo Tinoco Cabral
Summary: The study found that biological maturation, lean body mass, peak height velocity, and bone age were associated with muscle strength and power in adolescent athletes. Results showed that lean body mass had a high accuracy in predicting muscle strength of the upper and lower limbs, as well as muscle power of the upper limbs.
Review
Computer Science, Information Systems
Siaw-Teng Liaw, Myron Anthony Godinho
Summary: This study provides a literature review on capability maturity models (MMs) for the implementation and evaluation of digital health (DH) ecosystems. It identifies diverse domain-specific MMs and their development, implementation, and evaluation methods. The study also introduces a new category of community-facing MMs. The conclusion suggests using a metamodel like DHPMAT-MM to unify domain-specific MMs and guide the overall implementation and evaluation of DH ecosystems.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Article
Geosciences, Multidisciplinary
Xiao-Yi Li, Bao-Jun Tang
Article
Green & Sustainable Science & Technology
Qian Wang, Xiao-Yi Li, Zhan-Tao Zhang, Zhi-Lin Tao, Bao-Jun Tang
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Geosciences, Multidisciplinary
Chang-Jing Ji, Xiao-Yi Li, Yu-Jie Hu, Xiang-Yu Wang, Bao-Jun Tang
Article
Energy & Fuels
Bao-Jun Tang, Xiao-Yi Li, Biying Yu, Yi-Ming Wei
Article
Green & Sustainable Science & Technology
Bao-Jun Tang, Xiao-Yi Li, Biying Yu, Yi-Ming Wei
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2020)
Article
Energy & Fuels
Bao-Jun Tang, Ru Li, Xiao-Yi Li, Hao Chen
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)