A review of AI for optimization of 3D printing of sustainable polymers and composites by Malik Hassan, Manjusri Misra, Graham W. Taylor, Amar K. Mohanty

“…The advent of Industry 4.0 further boosted this progress by seamlessly incorporating artificial intelligence (AI) in 3D printing processes. …”
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Intelligent Demand Response Resource Trading Using Deep Reinforcement Learning by Yufan Zhang, Qian Ai, Zhaoyu Li

“…The hierarchical decision process of the two players is modeled as a Stackelberg game. …”
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Emerging trends in sequencing batch reactor operation and enhancement for improved phenol removal by Haitham Elnakar, Muhammad Faizan Khan, Usman M. Ismail

“…Systems employing aerobic granulation have been shown to boost the microbial population's resilience to sudden phenol influxes and considerably reduce the sludge volume index (SVI), thereby enhancing the sedimentation of microbial aggregates and improving the overall phenol biodegradation process.…”
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Re-Crafting Energy-Related Household Routines. The Integration of Design Methods in Behavioural Change Theory to Foster More Sustainable Routines by Giovanni Profeta, Francesca Cellina, Desirée Veschetti, Evelyn Lobsiger-Kägi, Devon Wemyss, Pasquale Granato

“…The shift towards the adoption of sustainable practices in energy consumption has been boosted by the unprecedented diffusion of digital technologies, such as smart meters and other monitoring devices, that support households in changing their daily behaviour. …”
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Detecting Changeover Events on Manufacturing Machines with Machine Learning and NC data by Bastian Engelmann, Anna-Maria Schmitt, Moritz Heusinger, Vladyslav Borysenko, Niklas Niedner, Jan Schmitt

“…The machine learning approach uses several algorithms to classify different phases of the changeover process. The changeover of a milling process was defined using different phase concepts (2-phases, 6-phases, 23-phases) to be applicable to other types of manufacturing machines. …”
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Synthesizing intra-individual and social comparisons: how integrated comparative advantage shapes math attitudes and gender stereotypes by Ran Liu

“…The internal/external (I/E) frame of reference model has acknowledged that both intra-individual and social comparison processes matter. However, most studies measure and investigate the two processes separately, neglecting a potentially integrated comparison process. …”
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Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images by C. B. Vanaja, P. Prakasam

“…Methods To address the aforementioned issues, a unique approach for MA segmentation is proposed based on the CBAM-AG U-Net model, which incorporates Convolutional Block Attention Module (CBAM) and Attention Gate (AG) processes into the U-Net architecture to boost the extraction of features and segmentation accuracy. …”
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The Preparation of C-S-H Powder Seeds and Their Effect on the Early Hydration Performance of Cement Paste by Chunlong Huang, Yiren Wang, Zhongyuan Wei, Yong Yu

“…C-S-H/PCE suspension can boost the hydration degree and strength of cement composite binding. …”
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Entrepreneurship education and self-efficacy among Chinese college students mediated by harmonious passion and moderated by parental psychological control by Yuan Gao, Jinjin Lu

“…Abstract Despite the rapid development of entrepreneurship education among college students, limited research has examined the hindering role of Chinese parents in this process under the socio-cultural context of China. …”
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Challenge of Adapting Marketing Concepts and Tools to The Territory by Samia Bounab, Samra Doumi

“… This research paper investigates the necessity and process of adapting traditional marketing concepts and tools to the unique context of territories, aiming to enhance their attractiveness for targeted groups at both national and international levels. …”
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Multiview clustering method for view-unaligned data by Ao LI, Cong FENG, Yutong NIU, Shibiao XU, Yingtao ZHANG, Guanglu SUN

“…A new challenge for multi-view learning was posed by corrupted view-correspondences.To address this issue， an effective multi-view learning method for view-unaligned data was proposed.First，to capture cross-view latent affinity in multi-view heterogenous feature spaces，representation learning was employed based on multi-view non-negative matrix factorization to embed original features into a measurable low-dimensional subspace.Second, view-alignment relationships were modeled as optimal matching of a bipartite graph, which could be generalized to multiple-views situations via the proposed concept reference view.Representation learning and data alignment were further integrated into a unified Bi-level optimization framework to mutually boost the two learning processes, effectively enhancing the ability to learn from view-unaligned data.Extensive experimental results of view-unaligned clustering on three public datasets demonstrate that the proposed method outperforms eight advanced multiview clustering methods on multiple evaluation metrics.…”
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Pulsed electrochemistry: A pathway to enhanced electrocatalysis and sustainable electrosynthesis by Chen Wei, He Yuanqing, Zou Yuqin, Wang Shuangyin

“…We examine the underlying theory of pulsed electrocatalysis and explore how waveform characteristics, potential, and pulse time affect catalytic processes. The review pays special attention to its application in key areas such as organic electrosynthesis, CO₂ reduction reactions, and water splitting, explaining how pulsed techniques improve reaction conditions to boost yields and selectivity. …”
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Applying ChatGPT and AI-Powered Tools to Accelerate Evidence Reviews by Kien Nguyen-Trung, Alexander K. Saeri, Stefan Kaufman

“…In this article, we used a critical reflection approach to document and evaluate the capacity of different generative AI tools such as ChatGPT, GPT for Google Sheets and Docs, Casper AI, and ChatPDF to assist in the early stages of a rapid evidence review process. Our results demonstrate that these tools can boost research productivity in formulating search strings and screening literature, but they have some notable weaknesses, including producing inconsistent results and occasional errors. …”
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Citizenship Education - Between Social Inequality and the Promises of Modernity by Hans Dorf

“…Socio-cultural tensions and inequalities created by globalisation processes boosted by neo-liberal modes of government seem to inspire a concern with"social cohesion", and the European Community assigns a key role to education in engendering European democratic citizenship. …”
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Unveiling the Power of Storytelling to Enhance EFL Listening and Speaking: An Action Research Study by Wafia Tihal

“…It aimed to improve students’ listening and speaking skills by incorporating storytelling into the teaching process. Many students have trouble understanding listening scripts in class, and struggle to articulate their thoughts in the speaking sessions. …”
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Occlusion‐robust markerless surgical instrument pose estimation by Haozheng Xu, Stamatia Giannarou

“…To deal with partial instrument visibility, a keypoint object representation is used and stable and accurate instrument poses are computed using a PnP solver. To boost the learning process of the model under occlusion, a new mask‐based data augmentation approach has been proposed. …”
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Learner behavior modeling: an interpretable knowledge tracking model based on pretrained model by ZHOU Tao, LI Yangting, YANG Yueting, REN Junlin, JU Shenggen, SHI Wei

“…Knowledge tracing aims to track the transformation of learners’ knowledge states during the learning process, thereby enhancing learners’ learning efficiency. …”
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How does the audience return to the music theater? Exploring the influence of musical theater adaptation of Chinese nursery rhymes. by Jian Li, Yu Hu

“…The results indicate that audience interaction significantly boosts affective reactions, leading to heightened satisfaction and a greater likelihood of repurchase. …”
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Research on Public Adoption Willingness of “Internet + Government Affairs” in Blockchain Industry by Li Qian

“…The empirical research is carried out from three dimensions: perceived trust, environmental characteristics, and public satisfaction; combined with the advantages of application blockchain technology in “Internet + government affairs,” it analyzes the characteristics of public adoption behavior at different stages, builds a process-based “Internet + government affairs” public adoption model, and utilizes methods of factor analysis and structural equations to verify the models, and finally recommendations are provided to boost the public adoption. …”
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High Step-up DC-DC Converter Using Voltage Lift Techniques for Renewable Applications by Saed Mahmoud Alilou, Mohammad Maalandish, Ataollah Samadian, Pouya Abolhassani, Seyed Hossein Hosseini, Mohammad-Hassan Khooban

“…This paper presents a non-isolated DC-DC boost converter using voltage lift techniques. The proposed structure offers continuous input current. …”
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