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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Criteria and Classification Problem in Identifying Old Uighur Personal Letters by Hüsnü Çağdaş Arslan

“…In COUL, letters were evaluated in five main groups, and at the same time, 7 envelopes and the texts on them were examined. …”
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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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Reliability and Quality of Complex Systems by I.V. Peshkov, V.A. Zhigulin, N.A. Fortunova

“…A method is proposed to reduce the consumption of FPGA resources by using a parallel-sequential structure.…”

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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Synthesis of a novel carboxymethyl chitosan-silver - ginger nanocomposite, characterization, and antimicrobial efficacy by Manal A. El-Sheikh

“…AgNPs obtained were evaluated by the absorbance of the nanocomposite colloidal solution. …”
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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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QbD-based green synthesis and multifaceted characterization of silver nanoparticles from Mitragyna parvifolia leaves extract with enhanced bio-efficacy by Sukanya Pote, Preeti Salve

“…XRD analysis confirmed a face-centered cubic structure with an average crystallite size of 13.05 nm, and TEM analysis revealed well-dispersed spherical particles ranging from 18 to 22 nm, with SAED patterns supporting their crystalline nature. …”
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One-Pot Approach Towards Peptoids Synthesis Using 1,4-Dithiane-2,5-Diol via Multicomponent Approach and DFT-Based Computational Analysis by Musrat Shaheen, Akbar Ali

“…This alteration in the backbone structure is highly valued because it endows beneficial properties, including enhanced resistance to proteolysis, greater immunogenicity, improved biostability, and superior bioavailability. …”
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Design and implementation of a compact ultra-wideband reconfigurable antenna using RF MEMS switch technology by Preeti Rani, Manoj Kumar Gaur, Poonam Tiwari, Meenu Kaushik, Anshuman Shastri, Vishant Gahlaut

“…The antenna maintains VSWR < 2 across the band except for the notched region, with stable omnidirectional radiation patterns. Compared to existing designs, the proposed structure offers compact size (28 × 23 × 1.6) mm3, superior reconfigurability, and improved gain stability, making it an excellent candidate for next-generation UWB communication systems.…”
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IMPLEMENTATION OF THE DBSCAN METHOD FOR CLUSTER MAPPING OF EARTHQUAKE SPREAD LOCATION by Muhammad Bariklana, Achmad Fauzan

“…This research began with nearest-neighbor analysis to see patterns of data distribution. If the data distribution pattern is grouped, then DBSCAN analysis can be continued. …”
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Causal knowledge graph construction for enterprise innovation events in the digital economy and its application to strategic decision-making by Pengfei Wu, Bingtao Xu, Xuhan Zhang

“…We introduce a new architecture that integrates pre-trained language encoders and graph neural networks to jointly model event contexts and global causal structure. The proposed approach is evaluated on three datasets: a DEMAND competition dataset of digital economy innovation events, the FinCausal financial causality dataset, and the Causal News Corpus of news events. …”
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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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Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals. by Reihaneh Hassanzadeh, Rogers F Silva, Anees Abrol, Mustafa Salman, Anna Bonkhoff, Yuhui Du, Zening Fu, Thomas DeRamus, Eswar Damaraju, Bradley Baker, Vince D Calhoun

“…Individuals can be characterized in a population according to their brain measurements and activity, given the inter-subject variability in brain anatomy, structure-function relationships, or life experience. …”
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