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中文描述“冷”不是温度低,“热”不是温度高——冷是分子运动降速、有序化;热是分子运动加速、无序化。本文正式提出冷热循环公理三条表述:分子运动速度的差异是宇宙中一切物质迁移的唯一驱动力;分子运动速度的周期性交替是自组织结构的唯一生成机制;在任何尺度上复制冷热边界条件,即可在该尺度上实现物质重构。该公理并非纯理论推导,而是从光刻机、数据中心、核聚变、石油重构、稀土重构等九个独立工程场景中逆向提取的共同规律。人类用“温度”这个代理指标便利了工程应用,却锁死了对驱动力的理解——冷热循环公理将其归还。 English Description"Cold" is not low temperature; "heat" is not high temperature. Cold is the slowing of molecular motion—ordering and compaction; heat is the accelerat...
We address a fundamental practical challenge in superluminal warp drive operation: themanagement of Unruh radiation generated at the bubble horizon. For the sake of simplicity wewill call this radiation source a ”photon”, although it is considered virtual particle. For the purpose of the solution it was percieved as such. Imagining it as demoralized photonthat can’t find the exit of local warped spacetime, confine...
G induced loss of consciousness (G LOC) remains a challenge in high performance aviation because it can rapidly impair pilot functional capacity and compromise aircraft control. Traditional approaches have largely treated G LOC as a physiological tolerance or threshold problem, emphasizing maximum +Gz tolerance, centrifuge based assessment, and post hoc identification of loss of consciousness. However, operational...
This paper studies the problem of stochastic variance reduction (SVR) for the maximum mean discrepancy (MMD) and correlation alignment (CORAL) loss functions. Although various offline SVR algorithms for these losses have been proposed, these are incompatible with online, distributed, or incremental learning settings. This paper presents Adaptive vaRiance Reduction via Online reWeighting (ARROW), the first online S...
The redshifted 21 cm line is a promising probe of the Epoch of Reionization, during which the first generation of stars ionized the InterGalactic Medium (IGM). We aimed to constrain the IGM neutral Hydrogen fraction and spin temperature via redshifted 21 cm absorption against high redshift radio sources. We analysed an 18 hour observation of the radio loud quasar PSO J352.4034 15.3373 ($z = 5.84$) in the 203 222.5...
Generative AI can produce book length works of fiction at near zero cost. These books are often dismissed as low quality slop'' that buyers will ignore, and are assumed to carry little commercial weight. We test that assumption with full text AI detection across 14,419 self published genre fiction books sold on Amazon from 2023 to 2026, matched to daily sales records through June 2026. None of these books disclose...
The gauge symmetry breaking $SU(2) \to U(1) \to Z 2 \to 1$ successively produces monopoles, strings and domain walls bounded by strings (WBS), with the elementary monopole carrying a $U(1)$ magnetic flux twice as large as the elementary string. The elementary strings and subsequently WBS emit gravitational waves, and during their decay, the WBS yield a network of composite strings that carry the same $U(1)$ flux a...
Covariate shift often occurs because, in many real applications, the source and the target observations may be generated from different distributions. In this case, the standard metric under the source distribution is not appropriate. This paper considers deep neural network estimators for nonparametric quantile and Huber regression under covariate shift and from dependent observations. We deal with a generalized ...
We study decentralized online optimization for strongly geodesically convex (strongly g convex) losses on Riemannian manifolds with bounded sectional curvature, including positively curved manifolds. In centralized Riemannian optimization, strong g convexity tightens the optimal regret from $O(\sqrt{T})$ to $O(\log T)$, where $T$ is the time horizon; in the decentralized Riemannian setting, however, existing metho...
Target user EEG identification for two class motor imagery is crucial In the field of brain computer interface (BCI). We propose a lightweight method combining transfer learning (TL) and wavelet packet transform (WPT). After common average reference preprocessing, WPT decomposes 0 3.5 s EEG from C3/Cz into three layers, reconstructs ERD related coefficients, and extracts variance and energy mean as features. Using...
We investigate the proposal of hole doping RuO$ {2}$ via alloying with Cr ions to induce altermagnetism. Thin film samples of Ru$ {1 x}$Cr$ {x}$O$ {2}$ ($0 \leq x \leq 0.28$) were prepared by reactive magnetron co sputtering on TiO$ {2}$ substrates, with epitaxial nature verified by X ray diffraction and composition depth profiles determined by X ray photoelectron spectroscopy combined with Ar etching. Neutron dif...
Stacking van der Waals materials provides a powerful route to engineer emergent electronic and magnetic behaviors through proximity driven interactions. The graphene/CrSBr heterostructure has emerged as a compelling platform in this frontier, exhibiting exotic macroscopic responses including uniaxial surface plasmon polariton propagation and an unconventional quantum Hall effect indicative of strong interfacial el...
Gravitational wave standard sirens provide an independent probe of cosmic expansion since their luminosity distances are inferred directly from the gravitational wave signal and, for bright sirens (BSs), the source redshifts are obtained through the identification of electromagnetic counterparts. In this work, we forecast the constraining power of future bright siren catalogues on the Hubble constant using simulat...
Fermion pairing underlies collective quantum phenomena across widely different forms of matter. In extended systems such as ultracold Fermi gases, pairing is commonly understood through the BCS BEC crossover, where the pair size evolves from large, overlapping Cooper pairs to tightly bound dimers. In finite systems such as atomic nuclei, superconducting grains and quantum dots, however, the same pairing tendency c...
Soft robot exteroception is increasingly being explored for a variety of field applications. In this work, we present a sound based system for localizing disaster victims in confined and unstructured environments, based on a distributed acoustic sensing architecture embedded along the body of a soft everting vine robot. We propose a dynamic Steered Response Power with Phase Transform framework that supports both f...
Programming distributed quantum systems requires multiple actors to coordinate precise sequences of quantum operations, classical communication, and entanglement generation. Writing such protocols directly as distributed processes is tedious and error prone, and subtle mismatches can cause deadlock or silently incorrect quantum states. We present Qoreo, a choreographic programming language for quantum distributed ...
Recent work established that under active inference, linear Gaussian state space models lose their epistemic drive (any incentive to act so as to gain information) "under any circumstances". The epistemic term of the Expected Free Energy becomes constant: the agent flattens to a Kalman filter whose gain sequence is fixed in advance, regardless of action. The minimal departure that restores the drive is unknown; th...
The field equations of Conformal Gravity (CG) are constructed from fourth order derivatives of the metric. While the second order field equations of General Relativity (GR) reduce to a second order Poisson equation in the weak field limit, those of CG yield a fourth order one. Despite this, works by Tanhayi, Fathi, and Takook [Mod. Phys. Lett. A 26, 2403 (2011)], Payandeh and Fathi [Int. J. Th. Phys. 51, 2227 (201...
Aquatic self reconfigurable robots must assemble into desired shapes while ensuring safe interactions among multiple agents. This paper proposes a hybrid framework that combines distributed Model Predictive Control (MPC) with Control Barrier Functions (CBFs) for multi agent shape formation and reconfiguration. Given a desired shape and target assignment, a distributed MPC scheme, solved via the Alternating Directi...
Closing the gap between benchmark performance and reliable real world operation remains a central challenge for Vision Language Action (VLA) humanoid robots, which must handle execution errors, distribution shifts, and environmental variability. This paper presents DEED (Data Efficient Post Training and Experience Driven Learning), a systems level approach evaluated on a supermarket chip restocking task using a Un...
