Shibboleth: An agent-based model of signalling mimicry. by Jonathan R Goodman, Andrew Caines, Robert A Foley

“…This suggests that theoretical models in biology should place greater emphasis on the likelihood of detection, which does not explicitly entail costs, rather than on the costs to individuals who are detected. …”
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Longwall top coal caving technological process in the notation of the system-functional approach by Cherkasov P.V.

“…The technology of mining high-power coal deposits with production, currently used in many countries of the world, is promising for the coal basins of our country. …”
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Machine learning and deep learning in medicine and neuroimaging by Iván Sánchez Fernández, Jurriaan M. Peters

“…Machine learning is the subfield of artificial intelligence in which computers have the ability to learn and iteratively improve their performance without being explicitly programmed. Deep learning algorithms learn by processing the data with increasing levels of abstraction in each layer. …”
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Evaluation of Simulations for Short-Term Voltage Stability Assessment with Respect to Model Uncertainties by Dorothee Nitsch, Hendrik Vennegeerts

“…In order to evaluate the short-term voltage stability of an electrical power grid, it is necessary to employ not only systematic and well-targeted fault simulations, but also an evaluation method that assesses the criticality of the individual scenarios. …”
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Diffraction of low-frequency waves on elastic thin-walled shells of rotation by V. Yu. Prikhodko, . Do Vu Minh Thang

“…The number of lobes, their direction and power can be changed by using special distributions of the shell surface impedances.…”
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Conservation futures 2050: Developing future scenarios to explore potential socio-economic developments and their impact on biodiversity. by Jennifer L Bufford, Angela J Brandt, Anne-Gaelle Ausseil, Amanda Black, Bradley S Case, Adam Sean Forbes, Catherine Kirby, Rowan Sprague, Anita Wreford, Duane A Peltzer

“…Scenario-building can be a powerful tool to imagine possible futures, integrating across sectors and disciplines and promoting long-term thinking and planning. …”
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220–325 GHz all-photopolymer Bragg horn antennas towards eco-friendly terahertz applications by Nonchanutt Chudpooti, Binbin Hong, Rungrat Viratikul, Feaveya Kheawprae, Akkarat Boonpoonga, Panuwat Janpugdee, Weijia Zhang, Prayoot Akkaraekthalin, Joachim Oberhammer, Nutapong Somjit

“…Abstract This paper presents the development of the world’s first high-gain, all-photopolymer Bragg horn antennas explicitly designed for the WR-3.4 band (220–325 GHz), marking a groundbreaking advancement in terahertz (THz) antenna technology. …”
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Mobile Location With Multi-Spot Measurements Model Considering Anchor Node Position Errors by Chenyu Yang, Rui Ren, Dongkun Jin, Jiyan Huang

“…Multi-spot measurements model has emerged as a powerful approach for enhancing positioning accuracy in wireless sensor networks (WSNs), particularly in dynamic environments like autonomous aerial vehicles (AAV) swarms. …”
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A Community Effort to Develop Common Data Elements for Pre-Clinical Spinal Cord Injury Research by Britt A. Fedor, Abel Torres-Espin, Romana Vavrek, Maryann E. Martone, John L. Bixby, John C. Gensel, Vance Lemmon, Jeffrey S. Grethe, J. Russel Huie, Adam R. Ferguson, Karim Fouad

“…To utilize these approaches and harness the continuously increasing computational power requires data to be both machine readable and, ideally, harmonized across studies. …”
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Exploring European hydrogen demand variations under tactical uncertainty with seasonal hydrogen storage by Sebastian Emil Hummelen, Erlend Hordvei, Marianne Petersen, Stian Backe, Hongyu Zhang, Pedro Crespo del Granado

“…This study addresses two key objectives: (1) to develop a modeling framework that integrates seasonal storage into a stochastic multi-horizon capacity expansion model, explicitly capturing tactical uncertainty across timescales; and (2) to assess the impact of seasonal hydrogen storage on long-term investment decisions in European power and hydrogen infrastructure under three hydrogen demand scenarios. …”
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A binary choice model for adoption of an emerging travel mode with unique service features by Yu Gu, Anthony Chen, Sunghoon Jang, Songyot Kitthamkesorn

“…To facilitate the understanding of the behavioral impacts and the adoption of innovative mobilities, a novel binary weibit model with an oddball alternative (BW-O) is developed for the binary choice between conventional and emerging mobilities. The BW-O model explicitly considers the unprecedented (or unique) service features of emerging travel modes while retaining the closed-form choice probability. …”
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Impact of Virtual Synchronous Generators on Frequency-Constrained Unit Commitment: A Neural Network-Assisted Framework for Assessing Rate of Change of Frequency by Ryosuke Shikuma, Yu Fujimoto, Dai Orihara, Hiroshi Kikusato, Hisao Taoka, Yasuhiro Hayashi

“…The increasing penetration of inverter-based resources (IBRs) into electric power systems and the retirement of synchronous generators (SGs) both reduce system inertia and challenge frequency stability. …”
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The Neural Correlates of Chewing Gum—A Neuroimaging Review of Its Effects on Brain Activity by James Chmiel, Agnieszka Malinowska

“…Methods: Using a targeted search strategy, we screened the major databases (PubMed/Medline, Scopus, ResearchGate, Google Scholar, and Cochrane) from January 1980 to March 2025 for clinical studies published in English. Eligible studies explicitly measured brain activity during gum chewing using EEG, fNIRS, or fMRI. …”
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Comparative study of agricultural parcel delineation deep learning methods using satellite images: Validation through parcels complexity by Amine Hadir, Mohamed Adjou, Olga Assainova, Gaëtan Palka, Marwa Elbouz

“…We systematically evaluate nine state-of-the-art methods using a public database, explicitly analyzing how their strengths and weaknesses are affected by different levels of parcel complexity. …”
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Differential decay of multiple environmental nucleic acid components by Pedro FP Brandão-Dias, Megan Shaffer, Gledis Guri, Kim M. Parsons, Ryan P. Kelly, Elizabeth Andruszkiewicz Allan

“…Abstract Detections of environmental nucleic acids (eNA), such as DNA and RNA, are powerful tools for monitoring biodiversity. Yet, precise interpretation of these indirect detections requires understanding of eNAs persistence. …”
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UpStory: the uppsala storytelling dataset by Marc Fraile, Natalia Calvo-Barajas, Anastasia Sophia Apeiron, Giovanna Varni, Joakim Lindblad, Nataša Sladoje, Ginevra Castellano

“…Finally, we confirm the informative power of the UpStory dataset by establishing baselines for the prediction of rapport. …”
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Spike-Driven Channel-Temporal Attention Network with Multi-Scale Convolution for Energy-Efficient Bearing Fault Detection by JinGyo Lim, Seong-Eun Kim

“…To address these demanding requirements, we propose the Spike Convolutional Attention Network (SpikeCAN), a novel spike-driven neural architecture tailored explicitly for real-time industrial diagnostics. SpikeCAN utilizes the inherent sparsity and event-driven processing capabilities of spiking neural networks (SNNs), significantly minimizing both computational load and power consumption. …”
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Between Disability and Illness in Ancient Rome - The Case of Emperor by Myongjoo SHIN

“…In this, Claudius offers a powerful symbol of resilience and hope.…”
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Recalibrating the compass: towards effective competition law enforcement on mixed markets by Jasper P. Sluijs

“…To protect the level playing field on mixed markets, all economic activity should explicitly be subject to EU competition law. …”
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Navigating authoritarian politics: towards reflexive framing in healthcare research by Marit Tolo Østebø, Kenneth Maes, Gabrielle Gibb, Rebecca Henderson

“…Yet, they were reluctant to explicitly integrate politically sensitive topics and discuss questions related to local political context in their research. …”
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