Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry by Linn B. Norbom, Bilal Syed, Rikka Kjelkenes, Jaroslav Rokicki, Antoine Beauchamp, Stener Nerland, Azadeh Kushki, Evdokia Anagnostou, Paul Arnold, Jennifer Crosbie, Elizabeth Kelley, Robert Nicolson, Russell Schachar, Margot J. Taylor, Lars T. Westlye, Christian K. Tamnes, Jason P. Lerch

“…T1w/T2w-ratio features were the most relevant for demarcation, followed by surface area. …”
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Navigating the Dynamics: Modeling of Wave Propagation at Taiping Bay Port for Enhanced Design and Management by Dachuan He, Xi Zhang, Yakun Liu, Zhi Chen, Xiangjun Nie, Ke Wang

“…Our findings elucidate the intricate wave patterns and transformations within the harbor, highlighting the significant impact of the deep navigation channel on wave attenuation. …”
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Image-Text Joint Learning for Social Images with Spatial Relation Model by Jiangfan Feng, Xuejun Fu, Yao Zhou, Yuling Zhu, Xiaobo Luo

“…The rapid developments in sensor technology and mobile devices bring a flourish of social images, and large-scale social images have attracted increasing attention to researchers. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…InSAR techniques allow for high-precision measurements of surface deformation across large areas, making them invaluable in understanding and modeling subsidence patterns. When combined with machine learning approaches, these technologies offer even greater potential for developing predictive models and susceptibility maps, enabling proactive risk management. …”
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Three decades of wetland transformation in the middle and lower Yangtze River Basin: classification, inundation dynamics, and ecological impacts by Pingheng Li, Qing Wang, Muhammad Umair, Nargizakhon Shamshieva, Yichen Zheng

“…This study investigates wetland classification and inundation dynamics across the UMRB from 2002 to 2022, employing a multi-tiered remote sensing framework that integrates morphological features, topographic context, seasonal flooding patterns, and landscape configuration using time-series Landsat data. …”
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Microecological aspects of relationship between skin microbiota and psoriasis by Arsenyeva A.A., Lyamin A.V., Migacheva N.B., Orlov E.V., Alekseev D.V.

“…In particular, various patterns of deviations in the composition of microbiological communities are considered, such as an increase in the ratio of individual pathogens (Staphylococcus aureus and Streptococcus pyogenes) and a decrease in the number of microorganisms that limit the growth of pathogenic flora (Staphylococcus epidermidis and Cutibacterium acnes). …”
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Detection and Monitoring of Floating Plastic Debris on Inland Waters From Sentinel-2 Time Series by Daniele Cerra, Stefan Auer, Adrian Baissero, Felix Bachofer

“…First, the detection of plastic candidates is conducted with a rule-based approach relying on variations in signal intensity, temporal patterns, spectral features, and information fusion. …”
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Automated building typology clustering and identification using a variational autoencoder on digital land cadastres by Jaime de-Miguel-Rodriguez, M.V. Requena-Garcia-Cruz, E. Romero-Sánchez, A. Morales-Esteban

“…Unlike traditional shape clustering approaches, that depend on predefined rules or manual labelling, the method employs unsupervised learning to identify building typologies, based solely on geometric features, derived from roof-print shapes. Leveraging a large-scale dataset of over 100,000 buildings from the Seville, Spain cadastre, the VAE has been trained with augmented data to generate a latent space that captures dominant morphological patterns. …”
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The New Paradigm of Deepfake Detection at the Text Level by Cosmina-Mihaela Rosca, Adrian Stancu, Emilian Marian Iovanovici

“…These features are used to develop a custom-made written-style machine learning model named the custom deepfake text model. …”
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Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

“…Escalating temperature, polar ice melting, global sea level rise, and shifting weather patterns, all stem from climate change. One of the pathways towards achieving sustainable development involves the advancement of the agricultural sector, a vital economic segment. …”
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Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

“…Links will be made throughout between environmental issues, economic development and social and environmental justice. Another key feature of Green Criminology is the way in which it seeks to align with environmental activism, and an account will be given here of ethnographic research into a contemporary environmental protest movement, the 'anti-fracking' movement. …”
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Self-staging on the Himalayan trails: online storytelling videos as a medium for young Nepalese people to discover trekking by Pierre Dérioz, Philippe Bachimon, Pranil Kumar Upadhayaya

“…Combined, they have become a common feature of contemporary ‘connected’ tourism, a major producer and consumer of images. …”
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Task relevant autoencoding enhances machine learning for human neuroscience by Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard, Cody Cushing, Mouslim Cherkaoui, Mitsuo Kawato, Hakwan Lau, Megan A. K. Peters

“…We thus developed a Task-Relevant Autoencoder via Classifier Enhancement (TRACE) designed to identify behaviorally-relevant target neural patterns. …”
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Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models by Luis H. T. Bandoria, Walquiria N. Silva, Madson C. De Almeida

“…Results based on statistical and temporal metrics indicate that Max-Abs normalization consistently yields more accurate and stable synthetic profiles across all models and datasets, while Robust and Quantile methods often degrade essential distributional features. These findings highlight the critical role of normalization in developing effective synthetic data generation pipelines for power system applications.…”
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A microhistological key for the identification of plant fragments in herbivore droppings from Mongolia’s steppe and semi-desert. by Bayarmaa Chuluunbat, Gantumur Khuderchuluun, Munkhtulga Dariganga, Nyambayar Batbayar, Badamdorj Bayartogtokh

“…This study examined 93 plant species, focusing on epidermal cell types, stomatal patterns, trichomes, and specialized cells. Key anatomical features, such as elongated, lobed, and angular epidermal cells, along with various stomatal configurations, were essential for plant identification, with anomocytic stomata being particularly prevalent. …”
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Risk factors of mild behavioral impairment: a systematic review by Song Lin Tang, Song Lin Tang, Ponnusamy Subramaniam, Ching Sin Siau, Agnes Shu Sze Chong, Fang Liu

“…Forty-one human studies meeting predefined inclusion criteria were selected through dual independent screening.ResultsFive key domains emerged: (1) Genetic susceptibility (APOE ε4 allele showing strongest association), (2) Motor system pathology (particularly Parkinsonian features), (3) Multisensory deficits (auditory impairment demonstrating bidirectional relationships), (4) Metabolic dysregulation (diabetes mellitus and frailty phenotypes), and (5) Neuroanatomical correlates (frontolimbic atrophy patterns on MRI). …”
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Assessment of Digital Activity of the Population in the Context of the Theory of Generations by M. V. Bikeeva

“…Each generation has its own patterns of behavior. Comparative characteristics of the features of the use of the digital environment led to the conclusion that for all generations the priority goals of using the Internet are communications and personal interaction. …”
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Comparison of the Environment of EU Countries for Sharing Economy State by Modern Multiple Criteria Methods by Grybaitė, V., Stankevičienė, J., Lapinskienė, G., Podvezko, A.

“…Sharing improves resource conservation and efficiency of use, reformats consumption patterns, raises the spirit of entrepreneurship and responsibility of every capital owner, and improves social trust among people worldwide. …”
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Metro Station Passenger Volume Prediction Algorithm Based on Improved LSTNet Model by XU Ling, GUAN Jianbo, XU Xiwei, BAN Yong

“…[Objective] To effectively address the pressure of inbound/outbound passenger volume on metro lines during peak hours, it is necessary to develop an accurate passenger volume prediction model to understand the spatiotemporal distribution patterns of metro station inbound/outbound volumes and enhance the scientific basis for operational and scheduling decisions of metro lines. …”
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Refining Parkinson’s syndrome symptom forecasting using incorporated ocular imaging and the SymptoSense model by V. Jayasudha, N. Deepa, Devi Thiyagarajan

“…Additionally ocular imaging features of microvascular changes of retina and abnormalities in eye movements patterns are investigated to enhance prediction accuracy. …”
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