Micro-Expression Recognition Using Convolutional Variational Attention Transformer (ConVAT) With Multihead Attention Mechanism by Hafiz Khizer Bin Talib, Kaiwei Xu, Yanlong Cao, Yuan Ping Xu, Zhijie Xu, Muhammad Zaman, Adnan Akhunzada

“…These outcomes not only surpass current state-of-the-art benchmarks but also highlight ConVAT’s robustness and reliability in capturing micro-expressions, marking a significant advancement toward developing sophisticated automated systems for real-world applications in micro-expression recognition.…”
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Engineered CRISPR-Cas9 for Streptomyces sp. genome editing to improve specialized metabolite production by Duck Gyun Kim, Boncheol Gu, Yujin Cha, Jeonghan Ha, Yongjae Lee, Gahyeon Kim, Byung-Kwan Cho, Min-Kyu Oh

“…Cas9-BD is also used to capture large BGCs using a developed in vivo cloning method. …”
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Thermo-mechanical and material flow characteristics of tool sequencing dynamics in refill FSSW of thin alclad AA7075-T6 sheets: Numerical analysis using meshless smoothed-particle... by Venkata Somi Reddy Janga, Mokhtar Awang, Nabihah Sallih, Tamiru Alemu Lemma

“…A smoothed-particle hydrodynamics (SPH) formulation-based 3D thermo-mechanical model is developed to study the thermo-mechanical and material flow properties as it is possible to trace the field variables explicitly; it can manage significant material/elemental deformations and capture material mixing dynamically. The PPRSP-RFSSW is numerically analyzed and compared to existing sleeve plunging RFSSW (SP-RFSSW). …”
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Design and Deployment of a Pediatric Cardiac Arrest Surveillance System by Jordan Michel Duval-Arnould, Heather Marie Newton, Leann McNamara, Branden Michael Engorn, Kareen Jones, Meghan Bernier, Pamela Dodge, Cheryl Salamone, Utpal Bhalala, Justin M. Jeffers, Lilly Engineer, Marie Diener-West, Elizabeth Anne Hunt

“…By leveraging hospital information technology and medical device data, identification of pediatric cardiac arrest with an associated increased capture in the proportion of objective performance data is possible.…”
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MambaShadowDet: A High-Speed and High-Accuracy Moving Target Shadow Detection Network for Video SAR by Xiaowo Xu, Tianwen Zhang, Xiaoling Zhang, Wensi Zhang, Xiao Ke, Tianjiao Zeng

“…By introducing SSM with the linear complexity into YOLOv8, MambaShadowDet effectively captures the global feature dependencies while relieving computational load. …”
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Access and sustainment of ELMy H-mode operation for ITER pre-fusion power operation plasmas using JINTRAC by E. Tholerus, L. Garzotti, V. Parail, Y. Baranov, X. Bonnin, G. Corrigan, F. Eriksson, D. Farina, L. Figini, D.M. Harting, S.H. Kim, F. Koechl, A. Loarte, E. Militello Asp, H. Nordman, S.D. Pinches, A.R. Polevoi, P. Strand

“…Assuming that the L–H power threshold is well captured by the Martin08 scaling law, the presented simulations have found that 30 MW of ECRH power is likely required for the investigated hydrogen plasma scenarios, rather than the originally planned 20 MW in the 2016 Staged Approach ITER Baseline. …”
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Morphological diversity variation of seed traits among 587 germplasm resources of Medicago Genus and 32 germplasm resources of Trigonella Genus by Bingcheng Han, Xueming Dong, Mingyu Li, Zhaoming Wang, Congcong Shi, Qiang Zhou, Zhipeng Liu, Longfeng Yan

“…The results revealed that: (1) there was significant diversity (P < 0.05) in SL, SW, WL, PE, RL, HL, and SY across Medicago species; (2) principal component analysis of the 587 Medicago accessions identified SL, SW, PE, HL, RL, and SY as the primary contributors to morphological diversity; and (3) high-resolution images of seeds from various accessions were captured for future research. This study provides a solid foundation for the establishment of seed banks and the enhancement of germplasm resources through the systematic analysis of these morphological traits.…”
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Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification by Vinaykumar Vajjanakurike Nagaraju, Ananda Babu Jayachandra, Andrzej Stateczny, Swathi Holalu Yogesh, Raviprakash Madenur Lingaraju, Balaji Prabhu Baluvaneralu Veeranna

“…The stacked LSTM contains multiple layers stacked on top of each other to capture high-level temporal data. By integrating residual connection with stacked LSTM, gradient flow is enabled directly among long sequences, reducing the vanishing gradient issue and fastening the convergence rate. …”
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Determining the Level of Service Scale of Public Transport System considering the Distribution of Service Quality by Min Wang, Baohua Mao, Yanqiang Yang, Ruijia Shi, Junsheng Huang

“…The research proves the feasibility of considering the service distribution to determine the overall LOS of PTS, and it is useful for capturing more detailed information of the system performance in time and space. …”
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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

“…The proposed approach addresses the limitations of existing methods by capturing both hierarchical and temporal dependencies in network traffic, improving the detection of subtle and advanced attacks. …”
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A review of characteristic lengths in the coupled criterion framework and advanced fracture models by Molnár, Gergely, Doitrand, Aurélien, Estevez, Rafael,  Gravouil, Anthony

“…These enhancements could better capture the complex behaviors at smaller scales.The paper concludes by advocating for a combined approach that integrates various fracture models, which could provide a more comprehensive understanding of crack initiation and propagation across different scales. …”
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Effect of drought disturbance in a sclerophyll forest on the micromammal community in the Río Clarillo National Park, Metropolitan Region, Chile by Susan Fletcher, Carlos Sarmiento, Gisela C. Stotz, Verónica Quirici

“…To study the community of micromammals in these forests, the Capture-Mark-Recapture method was used with Sherman traps. …”
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Using Hyperspectral Imaging and Principal Component Analysis to Detect and Monitor Water Stress in Ornamental Plants by Van Patiluna, James Owen, Joe Mari Maja, Jyoti Neupane, Jan Behmann, David Bohnenkamp, Irene Borra-Serrano, José M. Peña, James Robbins, Ana de Castro

“…The analyses revealed that the first two principal components captured a majority of variance in the data, with specific wavelengths around 680 nm, 760 nm, and 810 nm playing a significant role in distinguishing between the stress levels. …”
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Low‐carbon economic schedule of the H2DRI‐EAF steel plant integrated with a power‐to‐hydrogen system driven by blue hydrogen and green hydrogen by Bokang Zou, Yuanshi Zhang, Qirui Chen, Qinran Hu, Xiaoyan Hu, Jing Shi, Zesen Li, Qi Wang

“…An illustrating method is utilised for modelling the entire steel production process and power to hydrogen (PtH2) process in detail for the H2DRI‐EAF steel plant, which includes natural gas, photovoltaic, wind power self‐provided power plants, and carbon capture and storage (CCS) systems. A mixed integer linear programming (MILP) model is developed for the comprehensive scheduling of the steel mill. …”
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Optimizing dental implant identification using deep learning leveraging artificial data by Shintaro Sukegawa, Kazumasa Yoshii, Takeshi Hara, Futa Tanaka, Yoshihiro Taki, Yuta Inoue, Katsusuke Yamashita, Fumi Nakai, Yasuhiro Nakai, Ryo Miyazaki, Takanori Ishihama, Minoru Miyake

“…Images of 10 types of implants were classified using ResNet50 into the following datasets: (A) images of implants captured in vivo, (B) artificial implant images generated without background adjustments, and (C) implant images derived from in vivo images and generated with background adjustments. …”
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Factores contextuales, socioinstitucionales y subjetivos que configuran las transiciones juveniles educativas inter e intra niveles educativos en la ciudad de Bahía Blanca by Maria Soledad Boquin, Bianca Miralles

“…El presente artículo propone, a la luz de los actuales aportes teórico-normativos, una caracterización de las transiciones educativas experimentadas por jóvenes, las que se dividen en dos grupos, a saber: las que se dan interniveles (escuela secundaria-universidad) y las que tienen lugar intra nivel superior (universidad-institutos superiores). …”
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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

“…Therefore, this work proposes a machine learning-based device modeling algorithm to capture the complex nonlinear relationship between parameters and electrical characteristics of gate-all-around (GAA) nanowire field-effect transistors (NWFETs) from technology computer-aided design (TCAD) simulation results. …”
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Facial masks and soft‐biometrics: Leveraging face recognition CNNs for age and gender prediction on mobile ocular images by Fernando Alonso‐Fernandez, Kevin Hernandez‐Diaz, Silvia Ramis, Francisco J. Perales, Josef Bigun

“…Abstract We address the use of selfie ocular images captured with smartphones to estimate age and gender. …”
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Proinflammatory Effects of Diesel Exhaust Nanoparticles on Scleroderma Skin Cells by A. Mastrofrancesco, M. Alfè, E. Rosato, V. Gargiulo, C. Beatrice, G. Di Blasio, B. Zhang, D. S. Su, M. Picardo, S. Fiorito

“…We aimed to verify whether environmental pollution from diesel engine exhaust nanoparticulate (DEP) of actually operating vehicles could play a role in the development of a rare immune-mediated disease, systemic sclerosis (SSc), in which the pathogenetic role of environment has been highlighted. …”
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Declining precipitation frequency may drive earlier leaf senescence by intensifying drought stress and enhancing drought acclimation by Xinyi Zhang, Xiaoyue Wang, Constantin M. Zohner, Josep Peñuelas, Yang Li, Xiuchen Wu, Yao Zhang, Huiying Liu, Pengju Shen, Xiaoxu Jia, Wenbin Liu, Dashuan Tian, Prajal Pradhan, Adandé Belarmain Fandohan, Dailiang Peng, Chaoyang Wu

“…Finally, we find 30 current state-of-art Earth system models largely fail to capture the sensitivity of DFS to changes in precipitation frequency and incorrectly predict the direction of correlations for approximately half of the northern global lands, in both historical simulations and future predictions. …”
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