Gasoline Vehicle Emissions at High Altitude: An Exploratory STATIS Study in Guaranda, Ecuador by Alejandro Sebastián Sánchez-Mendoza, Mariuxi Vinueza-Morales, Javier Alexander Alcázar-Espinoza, Giovanny Vinicio Pineda-Silva, Iván Patricio Aucay-García

“…The STATIS model revealed structural similarities among the 2000–2005, 2016–2019, and post-2020 models, whereas pre-2000 vehicles differed markedly from the 2010–2015 models. …”
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Optical and SAR Data Fusion Based on Transformer for Rice Identification: A Comparative Analysis from Early to Late Integration by Chenyang He, Jia Song, Huiyao Xu

“…The model exhibits exceptional robustness in cloud-obstructed regions and diverse field patterns, effectively balancing precision (90.98%) and recall (90.35%). …”
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Exploring the influence of urban green space and urban morphology on urban heat Islands using street view and satellite imagery by Ziteng Huang, Lian Duan, Yimin Xu, Siyi Yang, Zhiyan Lin, Han Yue, Jinxin Yang

“…Abstract Urban green spaces are essential for regulating land surface temperature (LST), but current research frequently neglects their structural complexity and perceived accessibility by humans. …”
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Adsorptive removal of Cr(VI) from wastewater using termite mound blended with chicken eggshell as an adsorbent: Equilibrium and kinetic approaches by Mebratu Ergete Mengistu, Yasin Ahmed Waday, Wondwosen Sime Geleta, Yigezu Mekonnen Bayisa, Dereje Tadesse Mekonnen

“…In line with this, the synthesized termite mounds blended with chicken eggshells (TMESP) adsorbent was assessed depending on their structural patterns, functional group, optical properties, and loss of mass using XRD, FTIR, UV–Vis spectra, and TGA, respectively. …”
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AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder by Yunseung Lee, Pilsung Kang

“…These methods are actively used in various fields such as manufacturing, medical care, and intelligent information. Encoder-decoder structures have been widely used in the field of anomaly detection because they can easily learn normal patterns in an unsupervised learning environment and calculate a score to identify abnormalities through a reconstruction error indicating the difference between input and reconstructed images. …”
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Soil moisture forecasting in wireless sensor networks via spatiotemporal graph convolutional networks by Weixuan Wang, Yating Wei, Longfei Hao, Zushuai Wei, Tianjie Zhao

“…Graph neural network is adept at capturing and utilizing the complex spatiotemporal relationships and patterns inherent in graph‐structured data, thereby enhancing prediction accuracy. …”
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Cybersecurity Framework: Addressing Resiliency in Welsh SMEs for Digital Transformation and Industry 5.0 by Nisha Rawindaran, Ambikesh Jayal, Edmond Prakash

“…Integrated with the CGF, the framework promotes structured, ongoing improvements across organizational, technological, and human domains. …”
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Securing Industrial IoT Environments: A Fuzzy Graph Attention Network for Robust Intrusion Detection by Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa

“…The Industrial Internet of Things (IIoT) faces significant cybersecurity threats due to its ever-changing network structures, diverse data sources, and inherent uncertainties, making robust intrusion detection crucial. …”
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An Innovative Solution to Design Problems: Applying the Chain-of-Thought Technique to Integrate LLM-Based Agents With Concept Generation Methods by Shijun Ge, Yuanbo Sun, Yin Cui, Dapeng Wei

“…To enhance the application capabilities of large language models (LLMs) in conceptual design, this study explores how to achieve deep integration between LLM-based agents and concept generation methods using the chain-of-thought (CoT) technique and evaluates its feasibility. Using GPT-4 as a case study, we designed two agents: IntelliStorm (based on the unstructured brainstorming method) and EvoluTRIZ (based on the structured TRIZ method). …”
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Enhancing LoRa-Based Outdoor Localization Accuracy Using Machine Learning by Nur Kelesoglu, Marzena Halama, Anna Strzoda

“…This architecture integrates the strengths of Deep Learning and tree-based models, aiming to capture both temporal signal patterns and structured input correlations for improved localization accuracy. …”
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The Relationship Between Vitamin B12 and Telomere Length: A Systematic Review by Zeyneb Yıldırım, Emine Merve Ekici

“…The present systematic review examines the results from clinical trials conducted in humans evaluating the role of vitamin B12 on telomere length. …”
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The role of surfactant proteins SP-A and SP-D in viral infection: a focus on COVID-19 by O. S. Kharlamovа, K. Yu. Nikolaev, Yu. I. Ragino

“…They have image-recognizing receptors that identify pathogen-associated molecular patterns, particularly viral glycoproteins. The surfactant proteins SP-A and SP-D, which are composed of trimerized units, belong to pulmonary collectins and oligomerize into higher-order structures. …”
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Chinese Paper-Cutting Style Transfer via Vision Transformer by Chao Wu, Yao Ren, Yuying Zhou, Ming Lou, Qing Zhang

“…To further embody the symmetrical structures and hollowed hierarchical patterns intrinsic to Chinese paper-cutting, the multi-level feature contrastive learning module is designed based on a contrastive learning strategy. …”
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Motives for new psychoactive substances consumption among young adults in Uzbekistan: a qualitative study protocol by Guzalkhon A. Zakhidova, Uladzimir I. Pikirenia, Timur S. Syunyakov, Mariya V. Prilutskaya

“…EXPECTED RESULTS: The study will identify the key motives of NPS use, usage patterns, and social and medical barriers of help-seeking. …”
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A novel transformer-based dual attention architecture for the prediction of financial time series by Anita Hadizadeh, Mohammad Jafar Tarokh, Majid Mirzaee Ghazani

“…A promising approach for generating accurate predictions is Transformers. Encoder-decoder structures efficiently capture complex temporal dependencies and patterns within large-scale data. …”
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Sustainable Food Security in Romania and Neighboring Countries—Trends, Challenges, and Solutions by Teodor Ioan Trasca, Ioana Mihaela Balan, Gina Fintineru, Jeni Veronica Tiu, Nicoleta Mateoc-Sirb, Ciprian Ioan Rujescu

“…The results highlight the need for coordinated public policies that go beyond increasing food availability to reducing regional disparities, improving equitable access to nutritious food, and promoting sustainable patterns of production and consumption. The study proposes a multidimensional and scientifically sound approach that addresses structural inequalities, strengthening the resilience of food systems and the importance of regional cooperation in Eastern Europe. …”
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Variações anatômicas do tecido celular subcutâneo pós-perda ponderal Anatomic variations of the subcutaneous tissue after ponderal weight lost by Sergio Levy Silva

“…METHODS: Twenty eight surgical skin human specimens obtained after surgeries, were selected from the epigastric, peri-umbilical, hypogastrium and flank regions to be evaluated in their thickness and structural variations, from patients after been submitted by bariatric surgery or diets with extensive ponderal weight lost. …”
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Preparation and Characterization of rGO/Fe3O4/MnO2 Nanocomposite for Enhanced Removal of Terasil Black Dye in Waste Water Treatment by Ali Fadhil Ismail, Entisar E. Al-Abodi

“…The nanocomposite was created using a co-precipitation method, followed by physical bonding with MnO2 NPs. The structural properties, surface morphology, and elemental composition were evaluated through X-ray diffraction (XRD), Field Emission Scanning Electron Microscopy (FESEM), and energy-dispersive X-ray (EDX) analysis. …”
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Mechanical properties of extrinsic foot muscles, Achilles tendon, and plantar fascia in patients with a history of diabetic foot ulcers by Fatmagül Varol, Ali Ilez, Yavuz Aslan

“…The increased stiffness and tone in these structures may contribute to abnormal foot loading patterns, potentially increasing the risk of ulcer recurrence. …”
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Enhancing Wearable Fall Detection System via Synthetic Data by Minakshi Debnath, Sana Alamgeer, Md Shahriar Kabir, Anne H. Ngu

“…To assess the quality of the synthetic data, we use quantitative metrics, including the Fréchet Inception Distance (FID), Discriminative Score, Predictive Score, Jensen–Shannon Divergence (JSD), and Kolmogorov–Smirnov (KS) test, and visually inspect temporal patterns for structural realism. We observe that Diffusion-based synthesis produces the most realistic and distributionally aligned fall data. …”
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