Results 61 to 70 of about 463 (201)

Electrically Coded Retinomorphic Spectrophotodetector

open access: yesAdvanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source

Biointegrated Battery‐Based Electroceuticals

open access: yesAdvanced Materials, EarlyView.
Biointegrated batteries go beyond passive power to serve as active therapeutic platforms for delivering programmable electrical cues and bioactive agents. This review examines their mechanisms and applications and provides a framework to guide battery‐based therapeutic design and clinical translation.
Yan Zhou   +6 more
wiley   +1 more source

A Wireless, Passive Multimodal Wearable Sensor With Decoupled Sensing Capabilities

open access: yesAdvanced Materials, EarlyView.
A wireless passive multimodal electronic skin is presented for the simultaneous perception of pressure, humidity, and odor through a frequency‐divided LC resonator array. The decoupled sensing architecture suppresses cross‐interference and enables independent signal readout under superimposed stimuli while maintaining high stability.
Wenjiang Han   +8 more
wiley   +1 more source

Skeleton Key Framework (SKF) Disclosure of Method V2.1: Morphological-Linguistic Model for Voynich Manuscript Decipherement

open access: yes
Abstract  The Voynich Manuscript (VMS) has resisted decipherment for over a century. The Skeleton Key Framework (SKF) proposes a reproducible structural method that treats VMS glyph clusters as morphemic shorthand rather than single-letter substitution.
openaire   +2 more sources

De Novo Autogenic Engineered Living Functional Materials

open access: yesAdvanced Materials, EarlyView.
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad   +9 more
wiley   +1 more source

Harappan Phonetic Constraint Field: Complete Monograph & Method Pack A Non-Decipherment Framework for Understanding Indus Valley Administrative Abstraction and Post-Collapse Phonological Convergence

open access: yes
The Indus Valley script resists phonetic decipherment because it does not encode phonetic language. This monograph proposes that sustained administrative and trade interaction during the Harappan period (c. 2600-1900 BCE) created a Phonetic Constraint Field—a probabilistic phonotactic environment that shaped spoken languages without standardizing ...
openaire   +2 more sources

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

open access: yesAdvanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee   +13 more
wiley   +1 more source

Humoral Vector Theory (HVT): A Humoral Medical Framework for Voynich Decipherment, with a Working Key, Translations Across Multiple Sections, & Method Replication Resources

open access: yes
The Humoral Vector Theory (HVT) details how to understand the script of the Voynich Manuscript (Beinecke MS 408) through a simple, but fundamental change in perspective: What if the missing ‘code’ or lost ‘language’ is actually a worldview? Specifically, the humoral worldview of medicine that dominated the world of medicine for nearly 2,000 years ...
openaire   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

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