A Water Futures Approach on Water Demand Forecasting with Online Ensemble Learning by Dennis Zanutto, Christos Michalopoulos, Georgios-Alexandros Chatzistefanou, Lydia Vamvakeridou-Lyroudia, Lydia Tsiami, Konstantinos Glynis, Panagiotis Samartzis, Luca Hermes, Fabian Hinder, Jonas Vaquet, Valerie Vaquet, Demetrios Eliades, Marios Polycarpou, Phoebe Koundouri, Barbara Hammer, Dragan Savić

“…The water demand trajectory over a week exhibits complex overlapping patterns and non-linear dependencies to multiple features and time-dependent events that a single model cannot accurately predict. …”
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Label efficient phenotyping for Long COVID using electronic health records by Chuan Hong, Jun Wen, Harrison G. Zhang, Vidul Ayakulangara Panickan, Doris Y. Yang, Alicia W. Chen, Xin Xiong, Xuan Wang, Michele Morris, Sara Morini, Rahul Sangar, Andrew Dey, Malarkodi J. Samayamuthu, Katherine Liao, Clara-Lea Bonzel, Vidisha Tanukonda, Monika Maripuri, Jacqueline Honerlaw, Yuk-Lam Ho, Shyam Visweswaran, Isaac S. Kohane, Kelly Cho, Gabriel Brat, Zongqi Xia, Tianxi Cai

“…Our downstream analysis revealed a pattern of elevated healthcare utilization due to Long COVID, peaking at and continuing beyond the fourth month following COVID infection. …”
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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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CINEMA SPACES: AN IMAGINATIVE WORLD OF THE CULTURAL LANDSCAPE. REVIEW OF THE 6TH INTERNATIONAL SCIENTIFIC CONFERENCE “GEOGRAPHY OF ART” / ПРОСТРАНСТВА КИНО: ОБРАЗНЫЙ МИР КУЛЬТУРНОГ... by LAVRENOVA OLGA A. / ЛАВРЕНОВА О.А.

“…It traditionally considers not only spacing of artifacts and monuments over the earth’s surface, but also specific features related to the reflection of geographical space in art and creation of fantasy worlds in which the dependence on consistent patterns of the real world formation can easily be traced. …”
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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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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…This semantic information reveals underlying features and patterns, offering valuable scientific insights. …”
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StructureNet: Physics-Informed Hybridized Deep Learning Framework for Protein–Ligand Binding Affinity Prediction by Arjun Kaneriya, Madhav Samudrala, Harrish Ganesh, James Moran, Somanath Dandibhotla, Sivanesan Dakshanamurthy

“…Overall, the results show that structural data alone are sufficient for binding affinity predictions and can address pattern recognition challenges introduced by sequence and interaction features. …”
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Hip Involvement in Pediatric Scurvy: Early Magnetic Imaging Signs by Lisa Gamalero, Anna Perrone, Chiara Macucci, Alessandra Meneghel, Marta Balzarin, Sandra Trapani, Giuseppe Indolfi, Giorgia Martini, Teresa Giani

“…In all patients, pelvic MRI showed a bilateral, patchy, abnormal, water-like signal intensity pattern in the sacroiliac area. Sacroiliitis was detected in three children and hip effusion in another child. …”
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Machine Learning Approaches to Predict No-Shows in Saudi Arabian Primary and General Healthcare Settings by Abdulrahman Alshehri, Abdullah Saeed, Abdullah AlShafea, Sabah Althubiany, Mohammed Alshehri, Amer Alzahrani, Khalid Hakami, Lamia Ibrahim, Abdulrahim Alshehri, Rana Alamri

“…Regular appointments and PHCCs showed different attendance patterns than hospitals, while walk-in appointments did. …”
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Investigating Kalmykia’s Governance Arrangements, Mid-to-Late Nineteenth Century: Documents of Horde [Affairs] Department at Astrakhan Chamber of State Property (1848–1867) as a Hi... by Larisa B. Mandzhikova

“…The documents that resulted from the latter’s activities are related to official record keeping and their formatting patterns meet the requirements of that era. The archival documents included in Collection И-6 are a valuable source for further historical insights into how local public institutions in Russia would develop throughout the prerevolutionary period, and how Kalmykia’s administrative structures would evolutionize accordingly. …”
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Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology by Olga Fourkioti, Matt De Vries, Reed Naidoo, Chris Bakal

“…By incorporating neighboring tiles into the analysis, we examined whether contextual information improves or impairs the network’s ability to identify patterns and features critical for accurate classification. …”
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Decoding Customer Experience: A Comparative Analysis of Electric and Internal Combustion Vehicles in the U.S. Market Through Structured Topic Modeling by Nina Rizun, Bartosz Duzinkewicz

“…By integrating metadata contexts such as satisfaction levels (rating), review timelines, and predicted author gender, we uncovered patterns in functional and non-functional values driving consumer perceptions. …”
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Case Report: Genetic predisposition to low-dose NSAID-induced liver injury in real-world China by Yuan Lyu, Yangjie Li, Yingying Jiang, Qi Li, Chen Shao, Chunlei Fan, Ying Han, Hui Liu, Lingna Lyu, Huiguo Ding

“…Immunohistochemistry demonstrated abnormal BSEP expression patterns—reduced membrane localization in Patient 2 and intracellular retention in Patient 1—mirroring the pathological features of progressive familial intrahepatic cholestasis type 2 (PFIC-2). …”
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Integrative bioinformatics and immunohistochemical analysis unravel the prognostic significance and immunological implication of LIMCH1 in breast cancer: a retrospective study by Xin Yu, Bei Li, Wenge Li, Jingping Yuan, Shengrong Sun, Juanjuan Li

“…We analysed LIMCH1 expression patterns, its associations with clinicopathological features and prognosis, and its impact on the tumour immune microenvironment (TIME). …”
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FOMO, Materialism and the Gen Z Shopping Behavior: The Impact on Online Impulse Buying and Post-Purchase Regret (With a Gender Perspective) by Clivyne Eugenia Charles, Dewi Mustikasari Immanuel

“…Online buying patterns have changed dramatically as e-commerce, especially among Generation Z, and the growing influence of digital revolutions rapidly rise. …”
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