We modify the Double Machine Learning estimator to broaden its applicability to macroeconomic time-series settings. A deterministic cross-fitting step, termed Reverse Cross-Fitting, leverages the time...
Daily probability changes in Kalshi macro prediction markets forecast cryptocurrency realized volatility through two distinct channels. The monetary policy channel, measured by Fed rate repricing on K...
Marine bioactive materials are obtained from diverse organisms, which include algae, sponges, corals, and mollusks. These materials possess unique chemical structures and evolutionary traits that prov...
With the help of harsh propagation environments, reliable data acquisition in UWSNs/UGWSNs may suffer from packet loss a few times, extra communication latency, energy scarcity, and retransmission ove...
Deep learning models often struggle under natural distribution shifts, a common challenge in real-world deployments. Test-Time Adaptation (TTA) addresses this by adapting models during inference witho...
Staged tree models enhance Bayesian networks by incorporating context-specific dependencies through a stage-based structure. In this study, we present a new framework for estimating staged trees using...
Online advertising platforms host hundreds of thousands of A/B tests, but the platform's delivery algorithm routes each creative to the audience it predicts will engage. Every two-arm test therefore c...
Chitosan, derived from marine resources and insects, is biodegradable, non-toxic, and chemically tunable, which makes it a good candidate in green technology. Recent improvements in chitosan composite...
We present MobileGym, a browser-hosted, lightweight, fully controllable environment for everyday mobile use, targeting interaction fidelity without replicating proprietary backends. It enables two cap...
Skill scores, which measure the relative improvement of a forecasting method over a benchmark via consistent scoring functions and proper scoring rules, are a standard tool in forecast evaluation, yet...
Cancer subtyping plays a crucial role in informing prognosis and guiding personalized treatment strategies. However, conventional subtyping approaches often rely on static, biopsy-derived scores that ...
The development of sustainable, bioderived, conductive ionic gels for low-temperature applications remains a critical challenge, particularly in eliminating reliance on ethylene glycol-based antifreez...
Multiparametric MRI is increasingly recommended as a first-line noninvasive approach to detect and localize prostate cancer, requiring at minimum diffusion-weighted (DWI) and T2-weighted (T2w) MR sequ...
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