Harmonizing the past: EEG-based brain network unveil modality-specific mechanisms of nostalgia by Hu Shuxiang, Hu Shuxiang, Liu Ying, Liu Ying, Yue Qizong, Yue Qizong, Zhao Huan, Zhao Huan, Zheng Maoping, Zheng Maoping

“…IntroductionNostalgia is a complex emotional experience involving fond memories of the past and mild sadness, characterized by positive emotions associated with reflecting on previous events. …”
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Research on IoT network performance prediction model of power grid warehouse based on nonlinear GA-BP neural network by Pang Lele, Xia Bo, Cheng Zhanfeng, Ren Zhiqiang, Shen Hao, Li Pengfei

“…To ensure the model’s applicability across various scenarios, the study verifies its scalability and robustness, proving its suitability for IoT systems in power grid warehouses of differing scales and complexities. This comprehensive verification, establish a grid warehouse model that accurately reflects the actual operation logic, and provide decision support for material management and allocation content.…”
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Silicon-induced photosynthetic adaptations in common buckwheat under salt stress revealed by prompt chlorophyll a fluorescence analysis by Md. Rakib Hossain Raihan, Michal Antala, Marcin Stróżecki, Md. Intesaful Haque, Mirza Hasanuzzaman, Radosław Juszczak, Anshu Rastogi

“…Salt stress significantly altered the chlorophyll a fluorescence transient (OJIP) curve, disrupting energy flow and electron transport in photosystem II (PSII), as reflected in the O-J, J-I, and I-P phases, along with the emergence of a positive K-band indicating damage to the oxygen-evolving complex (OEC). …”
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Exploring the Cooling Effects of Urban Wetlands in Colombo City, Sri Lanka by Darshana Athukorala, Yuji Murayama, N. S. K. Herath, C. M. Madduma Bandara, Rajeev Kumar Singh, S. L. J. Fernando

“…The threshold value of efficiency (TVoE) of urban wetlands in Colombo was 1.42 ha. …”
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A Precise and Scalable Indoor Positioning System Using Cross-Modal Knowledge Distillation by Hamada Rizk, Ahmed Elmogy, Mohamed Rihan, Hirozumi Yamaguchi

“…At the core of <i>DistilLoc</i>, the FNet architecture is employed for its computational efficiency and capacity to capture complex relationships among RSSI signals from multiple access points. …”
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Relational model of public-private partnership in railway transport by N. F. Sirina, V. P. Pershin

“…The results obtained are integrated into the software complex for innovative development of facilities and are tuned for transformation, effective use of the potential of partners, investors, performers and industry enterprises.…”
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ResilioMate: A Resilient Multi-Agent Task Executing Framework for Enhancing Small Language Models by Yubing Xiong, Mingrui Huang, Xuechen Liang, Meiling Tao

“…The method employs dynamic task decomposition across specialized agents (e.g., Assistant, Checker) to minimize computational costs and combines short-term trajectory tracking with long-term self-reflective optimization for adaptive execution. At its core, the LeptoConnect model series (1.8B/7B parameters) is created using hybrid attention distillation and dynamic curriculum learning to enable cross-domain competence while retaining SLM efficiency. …”
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Study on relationship between shrinkage and transformation of resource-based cities in China by YANG He, XUE Dongqian, SONG Yongyong

“…Shrinkage was mainly reflected in the population dimension, while transformation was most evident in the industrial and innovation dimensions. …”
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Machine Learning-Based Morphological Classification and Diversity Analysis of Ornamental Pumpkin Seeds by Sıtkı Ermiş, Uğur Ercan, Aylin Kabaş, Önder Kabaş, Georgiana Moiceanu

“…<i>ovifera</i>) seeds are highly morphologically variable, and their classification is hence a complex task for the seed industry. Efficient and accurate classification is critical for agricultural production, breeding programs, and seed sorting for commerce. …”
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Robust Methods for Assessing the Characteristics of Locomotor Activity Based on Markerless Video Capture Data by M. I. Bogachev, K. R. Grigarevichius, N. S. Pyko, S. A. Pyko, M. Tsygankova, E. A. Plotnikova, T. V. Ageeva, Ya. O. Mukhamedshina

“…The movement trajectories of biological objects can be represented by time series exhibiting a complex multicomponent structure and non-stationary dynamics, thus limiting the effectiveness of conventional correlation and spectral time series analysis methods. …”
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Healthcare Futures: Opportunities, Challenges and Risks in a Blockchain-Driven Environment by Robert Goldberg, Peter J. Pitts, Jennifer Hinkel

“…By leveraging smart contracts, which automate transactions and ensure trust through pre-defined algorithms, the platform offers a seamless and secure environment for managing complex healthcare data and financial instruments. …”
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Creative tourism as a zone of entrepreneurship and innovation in management by Yulia L. Rybakova, Olga V. Karpova, Igor L. Kaverzin

“…The article formulates criteria for assessing the effectiveness, efficiency and potential of projects in the field of creative tourism, and discusses a number of cases reflecting the specific features of the implementation of the creative tourism concept in Russia (Kolomenskaya Pastila, Kolomna; New Tourist Geography, New Culture of Souvenirs, St. …”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
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Far-field ammonia gas sensing at room temperature with graphene nanoplatelets-infused PEDOT:PSS transparent thin film by Vinod K Ganesan, Chun Hui Tan, Pei Song Chee, Jen Hahn Low, Soon Poh Lee, Eng Hock Lim

“…Widely used in various industrial applications, ammonia poses significant environmental and health risks, emphasizing the need for efficient monitoring. Although traditional gas sensing methods effective, they often constrained by high operating temperatures and complex electronic components, limiting their practicality. …”
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LncRNA of peripheral blood mononuclear cells: HYMAI acts as a potential diagnostic and therapeutic biomarker for female major depressive disorder by Tianyi Bu, Jiarun Yang, Jiawei Zhou, Yeran Liu, Kexin Qiao, Yan Wang, Jili Zhang, Erying Zhao, Boakye Kwame Owura, Xiaohui Qiu, Zhengxue Qiao, Yanjie Yang

“…IntroductionAs a common and complex mental disorder, major depressive disorder (MDD) has brought a huge burden and challenges globally. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Machine learning models can process complex datasets, identify hidden patterns, and facilitate early risk detection, enabling banks to implement preventive measures before risks materialize. …”
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ETAFHrNet: A Transformer-Based Multi-Scale Network for Asymmetric Pavement Crack Segmentation by Chao Tan, Jiaqi Liu, Zhedong Zhao, Rufei Liu, Peng Tan, Aishu Yao, Shoudao Pan, Jingyi Dong

“…These findings demonstrate the effectiveness of interpretable, multi-scale attention architectures in complex object detection and image classification tasks, making our approach relevant for broader applications, such as autonomous driving, remote sensing, and smart infrastructure systems.…”
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Precision medicine in oncology: role and prospects of mass spectrometry by E. S. Khmelevskaya, E. A. Perina, E. E. Buyko, A. A. Ufandeev, O. A. Kaidash, V. V. Ivanov, A. N. Baikov, E. V. Parochkina, E. V. Udut

“…Mass spectrometry is becoming an indispensable tool in basic and applied research due to its sensitivity, specificity, and accuracy. It allows for efficient analysis of complex biological compounds, even at low concentrations. …”
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Developing an ISO11783-compliant prescription map for variable rate spraying in vineyards based on 3D canopy reconstruction by Björn Poss, Nikos Tsoulias, Galibjon M. Sharipov, Andreas Heiß, Dimitrios S. Paraforos

“…With the advent of the digital era in viticulture and the use of increasingly complex implements from different manufacturers, a standardised communication interface is essential. …”
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SEEI: spherical evolution with feedback mechanism for identifying epistatic interactions by De-yu Tang, Yi-jun Mao, Jie Zhao, Jin Yang, Shi-yin Li, Fu-xiang Ren, Junxi Zheng

“…Abstract Background Detecting epistatic interactions (EIs) involves the exploration of associations among single nucleotide polymorphisms (SNPs) and complex diseases, which is an important task in genome-wide association studies. …”
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