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Profiling a Rydberg-Atom Electric Field Sensor for Off-Resonant Detection of Sub-100 MHz RF Signals
arXiv:2606.10151v1 Announce Type: new Abstract: We present a Rydberg-Atom electric field sensor optimized to detect signals at sub-100 MHz carrier frequencies. The sensing setup employs a sapphire vapor cell that allows for detection of signals below 100~MHz -- typical vapor cells made of glass or quartz demonstrate strong screening of radio frequency (RF) signals in this frequency regime. Applied signals are detected by observing AC Stark shifts in the atomic vapor energy levels.
A stellar “Rosetta stone” reveals the source of mysterious cosmic signals
A stellar “Rosetta stone” reveals the source of mysterious cosmic signals A star caught cannibalizing its companion has finally revealed the origin of one of astronomy’s most puzzling repeating signals. - Date: - June 2, 2026 - Source: - University of Sydney - Summary: - Astronomers have finally cracked the mystery behind a strange class of repeating cosmic signals that has baffled scientists for years.
Why plant cells need heme: Hidden signal reshapes photosynthesis gene control
Why plant cells need heme: Hidden signal reshapes photosynthesis gene control Sadie Harley Scientific Editor Andrew Zinin Lead Editor For plants, light is an important environmental factor not only as a source of energy for photosynthesis, but also as a signal for capturing environmental information. Light signals are sensed by photoreceptor proteins called phytochromes. The amino acids that make up proteins are transparent and cannot absorb visible light.
Algebraic Diversity: Principles of a Group-Theoretic Approach to Signal Processing
arXiv:2604.19983v5 Announce Type: replace-cross Abstract: We present principles of algebraic diversity (AD), a group-theoretic approach to signal processing exploiting signal symmetry to extract more information per observation, complementing classical methods that use temporal and spatial diversity. The transformations under which a signal's statistics are invariant form a matched group; this group determines the natural transform for analysis, and averaging an estimator over the group...
From "Weak" Signals to Strong Models: Preference Delta Aggregation with LoRA Merging
arXiv:2606.00357v2 Announce Type: replace Abstract: Training strong large language models (LLMs) requires high-quality supervision, which is often scarce. Recent work shows that paired preference data from weak-weaker model pairs (e.g., Qwen3 4B over 1.7B), despite the limited quality of individual responses, can provide an effective supervision signal through relative quality deltas, which we term a "weak" signal. This motivates a key research question: can multiple "weak" signals be...
Privacy-Robust Incrementality Measurement for Advertising Systems under Signal Loss
arXiv:2606.03878v1 Announce Type: cross Abstract: Advertising platforms use randomized lift tests to measure incrementality, but privacy-preserving reporting systems degrade the observed signal through match-rate loss, linkability loss, attribution-window loss, aggregation-threshold suppression, randomized reporting noise, and segment-heterogeneous signal loss. This paper formulates privacy-constrained advertising measurement as a robust causal decision problem under the mentioned signal...
Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding
arXiv:2603.03312v3 Announce Type: replace Abstract: Decoding natural language from non-invasive EEG signals is a promising yet challenging task. However, current state-of-the-art models remain constrained by three fundamental issues: Semantic Bias, where outputs collapse into generic linguistic templates; Signal Neglect, where models rely heavily on LLM priors to hallucinate fluent text even in the absence of meaningful signals; and the "BLEU Trap", where high-frequency stopwords inflate...
Scientists locate source of mysterious radio signals after 20 year search: A vampire star and its victim
Scientists locate source of mysterious radio signals after 20 year search: A vampire star and its victim The vampire star is ripping material off that friend. The clashing magnetic fields of a white dwarf star and its neighboring red dwarf star are the source of signals from space that have remained a puzzle for over 20 years, radio astronomers in Australia have found. The signals, or long-period radio transients, are a class of celestial radio emissions discovered in 2005.
Optimal Wiener-Filter Solutions for Denoising of Graph Signals on Directed Graphs
Electrical Engineering and Systems Science > Signal Processing [Submitted on 5 Jun 2026] Title:Optimal Wiener-Filter Solutions for Denoising of Graph Signals on Directed Graphs View PDF HTML (experimental)Abstract:Graph signal processing has opened new avenues to the canonical denoising problem in interesting settings.
A Na⁺-PINK1 signaling axis couples mitochondrial fission to structural remodeling during synaptic depression
Mitochondrial density in dendrites adapts to the number of synaptic inputs to adequately sustain local ATP and Ca2+ buffering for neuronal signaling. During long-term depression (LTD), synapse elimination is accompanied by activation of caspase-3 through sublethal mitochondria-derived apoptotic signals, driving neurotransmitter receptor internalization and spine shrinking. However, the upstream signals that link synaptic activity to mitochondrial remodeling remain unknown.