Laser-enhanced hydrogen production: designing a PEC cell photoanode with an exclusive dye material for superior efficiency by Sally A. Al-Ani, Mohamed K. Dhahir

“…The photoanode’s design harnesses the power of the multiple layers to control the absorption of the photoanode to encompass the UV, VIS, and NIR regions.  …”
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Data-Driven Carbon Emission Dynamics Under Ship In-Port Congestion by Weiyu Liu, Bowei Xu, Junjun Li

“…We propose a hybrid deep learning model that integrates Two-Dimensional Convolutional Neural Networks (2DCNN) with Squeeze-and-Excitation Attention Mechanisms (SEAM) and Bidirectional Long Short-Term Memory Networks (BiLSTM) layers, optimized via the Triangulation Topology Aggregation Optimizer (TTAO) for hyperparameter tuning. …”
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Contextual ITSM Adoption Across Educational Levels: A University and a Secondary School in Jakarta by Marcel Marcel, Nur Chalik Azhar

“…This research investigates contextual ITSM adaptation across educational levels through a comparative case study of a university and secondary school in Jakarta. …”
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Enhancing Smart City Functions through the Mitigation of Electricity Theft in Smart Grids: A Stacked Ensemble Method by Muhammad Hashim, Laiq Khan, Nadeem Javaid, Zahid Ullah, Ifra Shaheen

“…These advanced IOTs and cyber layers introduced new types of vulnerabilities and could compromise the stability of smart grids. …”
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Accurate disaster entity recognition based on contextual embeddings in self-attentive BiLSTM-CRF. by Noor E Hafsa, Hadeel Mohammed Alzoubi, Atikah Saeed Almutlq

“…These contextual word embedding features, combined with lexicon features, are encoded using a novel contextualized deep Bi-directional LSTM network augmented with self-attention and conditional random field (CRF) layers. We compare the performance of our proposed model with existing word embedding approaches. …”
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Radionuclides as inorganic contaminants of the aquatic environment by Agnieszka Dołhańczuk-Śródka, Daniel Janecki, Alicja Gawdzik

“…Radon generated in the ground has the ability to migrate into the upper layers of soil, the atmosphere, and natural water reservoirs. …”
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A Dense Pyramidal Residual Network with a Tandem Spectral–Spatial Attention Mechanism for Hyperspectral Image Classification by Yunlan Guan, Zixuan Li, Nan Wang

“…Dilated convolution structures were used in the last two layers of the pyramid network, which can enhance the network’s perception of fine textures and features, improving information transfer efficiency. …”
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Focal Points of Architecture in Four Architectural Histories by Omid Shams

“…The historian’s viewpoint does influence his or her questions, testimonies, and interpretations, but more crucially it highlights or conceals certain layers of architectural knowledge.  The present paper studies some distinct viewpoints through which an architectural history views architecture. …”
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Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data by Bohui Jiang, Weifeng Zhou

“…The multi-branch structure significantly outperforms single-branch counterparts, and MB-1dCNN demonstrates superior performance over multi-branch model with fully connected layers (MB-FCNN), achieving additional gains in accuracy and F1-score. …”
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A digital twin-based green construction management method for prefabricated buildings [version 1; peer review: 2 approved] by Zhufu Zhu, Anxiu Li, Zhe Sun, Shuxin Ni, Zhansheng Liu

“…Energy consumption and pollution were reduced by comparing with the plan before construction. In addition, the model evolution method optimized green management measures and improved the level of green construction management on site. …”
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Artificial Ageing Study and Evaluation of Methods for Oil Removal on Decorative Plaster in Artistic Hispano-Muslim Artworks by Eva Vivar-García, Ana García-Bueno, Silvia Germinario, Marianna Potenza, Laura Bergamonti, Claudia Graiff, Antonella Casoli

“…Cleaning tests demonstrated that both a heptane–acetone gel and a novel polyamidoamine–glycine (PAAGLY) treatment effectively removed oil-based repaintings while preserving the original layers. These findings highlight the critical role of pigment–binder interactions in conservation strategies and advocate for selective, minimally invasive restoration methods.…”
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SCRM-Net: Self-Supervised Deep Clustering Feature Representation for Urban 3D Mesh Semantic Segmentation by Jiahui Wang, Wei Leng, Xinjie Hao, Rongting Zhang, Guangyun Zhang

“…During the semantic segmentation process, only a limited proportion of the labeled samples is required to fine-tune the pretrained encoder of SCRM-Net for discriminative feature extraction and to train the segmentation head consisting of two edge convolution layers. Extensive comparative experiments demonstrate the effectiveness of our approach and show its competitiveness against the state-of-the-art semantic segmentation methods.…”
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Model description of combined numerical and stochastic groundwater flow in Bandung-Soreang Groundwater Basin, West Java, Indonesia by Achmad Darul, Dasapta Erwin Irawan, Prihadi Sumintadireja, Gumilar Ramadhan

“…Background: The first groundwater modeling of the Bandung Aquifer Basin in 2009 used a finite difference method with a 0.5 km² grid, representing three volcanic geological layers. It assumed uniform hydraulic properties and used an equivalent homogeneous aquifer with anisotropic hydraulic conductivity. • Dataset: The study analyzed a comprehensive dataset of 196 boreholes. …”
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Mitigating microstructural heterogeneity in laser-directed energy deposition Ni-based superalloys by heat accumulation in-situ heat treatment by Chen Yang, Haibo Tang, Zhuo Li, Ziheng Zeng, Shujing Shi, Yansong Zhang, Chunjie Shen

“…Notably, the layered γ′ phase, previously underexplored in literature, is attributed to IHT-induced local Ostwald ripening, driven by aluminium (Al) diffusion gradients. …”
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MXene-based multilayered and ultrawideband absorber for solar cell and photovoltaic applications by Jusu M. Ngobeh, Vishal Sorathiya, Abdullah Alwabli, Amar Y. Jaffar, Osama S. Faragallah

“…The proposed solar absorber is numerically investigated for the different physical parameters, such as the height of the layers, unit cell size, and resonator orientation, to identify optimized results for the high absorption capacity. …”
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Recycling of Multilayer Polymeric Barrier Films: an Overview of Recent Pioneering Works and Main Challenges by Hissein Bechibo Adam, Mohamed Yousfi, Abderrahim Maazouz, Khalid Lamnawar

“…However, their complex chemical composition and strong interlayer adhesion—due to the presence of tie layers pose significant recycling challenges. This review explores waste management technologies for these complex films, including physical recycling (mechanical recycling, delamination, and selective dissolution‐precipitation) and chemical recycling (pyrolysis, gasification, and depolymerization). …”
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EHC-GCN: Efficient Hierarchical Co-Occurrence Graph Convolution Network for Skeleton-Based Action Recognition by Ying Bai, Dongsheng Yang, Jing Xu, Lei Xu, Hongliang Wang

“…Secondly, we introduce depth-wise separable convolution layers to reduce the model parameters. Additionally, we apply a two-stream branch and attention mechanism to further extract discriminative features. …”
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TuSegNet: A Transformer-Based and Attention-Enhanced Architecture for Brain Tumor Segmentation by Mir Nafiul Nagib, Rahat Pervez, Afsana Alam Nova, Hadiur Rahman Nabil, Zeyar Aung, M. F. Mridha

“…The model combines convolutional layers with transformer blocks for global context awareness, incorporates Atrous Spatial Pyramid Pooling (ASPP) for multi-scale feature extraction, and employs channel attention mechanisms to concentrate on tumor-relevant parts. …”
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A High-Performance SPR Biosensor for Female Reproductive Hormone Detection by Rajeev Kumar, Suman Garia, Saurav Joshi, Amrindra Pal, Indrasen Singh, Umesh Kumar Sahu

“…In this work, a plasmonic sensor using copper (Cu) with palladium (Pd) and hexagonal boron nitride (h-BN) (structure: SF11/Cu/Pd/h-BN/SM) based on surface plasmon resonance (SPR) for the detection of female reproductive hormones (progesterone and estradiol). A comparative study is performed between various layers of Cu and Cu/h-BN, which obtained performance parameters for the proposed structure. …”
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First‐principle screening of corrosion resistant solutes (Al, Zn, Y, Ce, and Mn) in Mg alloys for Integrated Computational Materials Engineering guided stainless Mg design by Zhihao Yang, Junsheng Wang, Chi Zhang, Shuo Wang, Chengpeng Xue, Guangyuan Tian, Hui Su, Chengming Yan, Zhifei Yan, Yingchun Tian

“…Using first‐principle calculations, we first obtained the substitution energies of alloying elements to compare their segregation preference, and then analyzed the influence of solutes at different layers on the stability and hydrogen adsorption properties of Mg(0001) surface by calculating the formation enthalpy, surface energy, vacancy formation energy, work function, Bader charge, deformation charge density, and adsorption free energy of H atom. …”
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