25 papers · ranked by Valyu relevance
Shivaram Mani, Saeed Afshar, Travis Monk
Introduction: Neuromorphic circuits operate by comparing fluctuating signals to thresholds. This operation underpins sensing and computation in both neuromorphic architectures and biological nervous systems. Rigorous analysis of such systems is rarely attempted because the statistical tools to study them are both…
Jonas M. Mikhaeil, Donald P. Green, David Blei
Scientific progress is inherently sequential: collective knowledge is updated as new studies enter the literature. We propose the sequential meta-analysis research trace (SMART), which quantifies the influence of each study at the time it enters the literature. In contrast to classical meta-analysis, our method can…
Alexander Grote, Anuja Hariharan, Christof Weinhardt
Introduction The analysis of discrete sequential data, such as event logs and customer clickstreams, is often challenged by the vast number of possible sequential patterns. This complexity makes it difficult to identify meaningful sequences and derive actionable insights. Methods We propose a novel feature selection…
Kundu, Sampurna, Jayant Jha, Subir Kumar Bhandari
We propose an adaptive sequential framework for testing two simple hypotheses that analytically ensures finite exposure to the less effective treatment. Our proposed procedure employs a likelihood ratio–driven adaptive allocation rule, dynamically concentrating sampling effort on the superior population while…
Kim May Lee, Richard Emsley
Background Group sequential designs are increasingly employed to allow trials to stop early with statistical rigor. While existing work focuses on intention-to-treat effect on clinical endpoints, the properties of mediation analysis (commonly conducted in psychological trials to understand a causal mechanism) remain…
Qiwei He, Yiming Chen, Elizabeth L. Tighe, Gal Kaldes
Technological advances have transformed the landscape of educational assessments, particularly in how we collect and analyze data on individuals’ cognitive processes and interactions with assessment items. The rich data recorded in log files during human-machine interactions are often referred to as process data. This…
Zhu, Jian, Lin, Zhidong + 8 more
—Discovering valuable insights from rich data is a crucial task for exploratory data analysis. Sequential pattern mining (SPM) has found widespread applications across various domains. In recent years, low-utility sequential pattern mining (LUSPM) has shown strong potential in applications such as intrusion detection…
Hidehiro Matsumoto, Manabu Tsukamoto, Nobukazu Okimoto, Satoshi Ikeda + 8 more
Introduction Studies launched in Japan on once-weekly teriparatide (1/W-TPTD) and twice-weekly teriparatide (2/W-TPTD) are limited. Therefore, we examined the effects of sequential therapy using anti-resorptive agents after administering 1/W-TPTD and 2/W-TPTD using dual-energy X-ray absorptiometry (DXA) and DXA-based…
Niki Z. Petrakos, Erica E. M. Moodie, Nicolas Savy, Manon de Raad + 2 more
Sequential Multiple Assignment Randomized Trials (SMARTs) provide evidence for treatment sequences based on patient profiles, which is relevant in chronic disease settings. Sample size formulae implemented in calculators are the primary tool available to power SMARTs, though they require strong assumptions. We propose…
Wei-Hung Chang, Ting-Yu Hu, Li-Kuo Kuo, Alessandro Russo
Background: Severe sepsis and septic shock remain major causes of ICU mortality despite advances in critical care. Polymyxin B hemoperfusion (PMX-HP) is widely used in Asia for refractory endotoxemia, yet the optimal session strategy remains unclear. Methods: We retrospectively analyzed adult ICU patients with severe…
Changqing Wang, Matthew E. Ritchie, Nadia M. Davidson
Visualizing and troubleshooting long-read sequencing data is a common task when analyzing novel protocols, but identifying several primer sequences from reads exceeding 2 kb with fuzzy matching is challenging for the human eye. Here, we present seqsizzle, a cross-platform terminal user interface (TUI) based tool for…
Helena Wright-Wieckowski, Kate Wilmut, Katja Kornysheva
Research suggests that motor difficulties in Developmental Coordination Disorder (DCD) are related to altered motor sequence planning, but it is unclear which mechanisms are affected, particularly in adults. This study addresses that gap by examining how the order of upcoming movements during the planning of skilled…
Hugo Math, Rainer Lienhart
We study causal discovery from a single observed sequence of discrete events generated by a stochastic process, as encountered in vehicle logs, manufacturing systems, or patient trajectories. This regime is particularly challenging due to the absence of repeated samples, high dimensionality, and long-range temporal…
Tianhao Zhang, Shusen Ma, Yu Kang, Yun-Bo Zhao
—Multivariate time-series forecasting, as a typical problem in the field of time series prediction, has a wide range of applications in weather forecasting, traffic flow prediction, and other scenarios. However, existing works do not effectively consider the impact of extraneous variables on the prediction of the…
Hsing-Hao Lee, Marisa Carrasco
Covert spatial attention selects and prioritizes relevant sensory information. Endogenous attention is voluntary, goal-driven, and flexible. However, it cannot alleviate visual polar-angle asymmetries, specifically, the horizontal-vertical anisotropy and the vertical meridian asymmetry. Visual perception is affected by…
Miriam Gorostidi-Aicua, Ane Otaegui-Chivite, Aitor Zabala, Laura Moles + 1 more
Microbiome analysis has become a pivotal tool in understanding the role of microbiota in human health and disease. However, the lack of standardized workflows, together with the limitations of proprietary software solutions, hampers reproducibility and flexibility. Here, we present Mbiome, an open-source, user-friendly…
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In this study, the M06 global hybrid functional coupled with the 6-311G(d,p) basis set has been employed to systematically investigate the reaction mechanisms and the energetics of the titled reaction having been inspired by the established unique pharmacological attributes of the products, among other scientific…
Marie-Luise Augsten, Martin J. Lindenbeck, Bernhard Laback
Cochlear implant (CI) users typically experience difficulties perceiving musical harmony due to a restricted spectro-temporal resolution at the electrode-nerve interface, resulting in limited pitch perception. We investigated how stimulus parameters affect discrimination of complex-tone triads (three-voice chords)…
Jarno Koetsier, Ozan Cinar, Egon L. Willighagen, Ammar Ammar + 7 more
Transcriptomic profiling has become a cornerstone of modern biomedical research. To make transcriptomic analyses accessible to a broader scientific community, specifically including researchers with limited bioinformatics expertise, we introduced ArrayAnalysis in 2013 as a user-friendly web-based application for…
Weilin Ruan, Yuxuan Liang
Time series analysis underpins many real-world applications, yet existing time-series-specific methods and pretrained large-model-based approaches remain limited in integrating intuitive visual reasoning and generalizing across tasks with adaptive tool usage. To address these limitations, we propose MAS4TS, a…
Xin Qiu, Junlong Tong, Yao Zhang, Yunpu Ma + 2 more
Time series analysis has recently been coupled with Large Language Models (LLMs) to leverage their reasoning and world knowledge capabilities, yet gains remain limited. We attribute this to a fundamental mismatch between existing task formulations and LLM strengths: most settings reduce time series understanding to…
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This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
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The analysis of molecular dynamics (MD) simulations is a critical but fragmented process, often requiring researchers to chain together multiple software tools and write bespoke scripts for routine structural and dynamic analyses. This workflow complexity creates a significant barrier to efficiency, standardization…
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Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical tool that can be used to determine the structures of both small organic molecules and large biomacromolecules. Many undergraduate students are exposed to NMR spectral analysis during organic chemistry courses, but few students have the opportunity…
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Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…