Results 121 to 130 of about 511,753 (356)

Fast bootstrap and reliable readout using hidden references for DNA data storage

iMeta, EarlyView.
This study provides a bootstrap readout framework for DNA data storage based on multiple‐fold hidden references. We employ a multi‐stage alignment and error correction strategy, transforming the de novo readout into a resequencing‐like workflow. Correlation to the hidden watermark reference identifies low‐error‐rate reads, and bit‐wise consensus ...
Weigang Chen, Shuang Liu, Quan Guo, Rui Qin, Qi Ge, Tingting Qi, Yingjin Yuan   +6 more
wiley   +1 more source

Ophidiomycosis Prevalence and Disease Ecology in a Natrix tessellata (Laurenti, 1768) Population From Northern Italy

Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.
ABSTRACT Fungal pathogens pose a growing threat to vertebrate biodiversity. In snakes, Ophidiomyces ophidiicola (Oo) has garnered particular concern, although its impact in Europe remains poorly understood. We conducted a season‐long, standardized survey of dice snakes (Natrix tessellata) along the northern shore of Lake Como (Italy) to quantify Oo and
Matteo Riccardo Di Nicola, Luca Colla, Kevin P Mulder, Federico Storniolo, Elin Verbrugghe, Giuseppe Esposito, Donato A. Grasso, Frank Pasmans, An Martel   +8 more
wiley   +1 more source

The Double‐Edged Sword of Servant Leadership: Motivational Climates, Helping Behavior, and Financial Performance

Journal of Organizational Behavior, EarlyView.
ABSTRACT Research on the effects of servant leadership on firm success has yielded inconsistent results. Connecting servant leadership theory to achievement goal theory, we theorize that servant leadership exerts both beneficial and detrimental effects on firms by shaping two distinct motivational climates: mastery climate and performance climate ...
Therese Egeland, Alexander Madsen Sandvik, Vidar Schei, Claudia Buengeler   +3 more
wiley   +1 more source

Proper account of auto-correlations improves decoding performances of state-space (semi) Markov models

Peer Community Journal
State-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas, Gloaguen, Pierre, Etienne, Marie-Pierre, Lanco, Sophie, Joo, Rocío, Rivot, Etienne, Walker, Emily, Woillez, Mathieu, Mahévas, Stéphanie   +8 more
doaj   +1 more source

Artificial Intelligence in Multimedia Content Generation: A Review of Audio and Video Synthesis Techniques

Journal of the Society for Information Display, EarlyView.
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley   +1 more source

Opportunistic Channel Access Algorithm Based on Hidden Semi Markov Model for Cognitive Radio Networks [PDF]

, 2014
Bhupal Kumar, Dr.S.K. Srivatsa
openalex   +1 more source

A Systematic Review of Hidden Markov Models and Their Applications

Archives of Computational Methods in Engineering, 2020
B. Mor, S. Garhwal, Ajay Kumar
semanticscholar   +1 more source

Optical Coherence Tomography for High‐Precision Industrial Inspection in Industry 4.0: Advances, Challenges, and Future Trends

Laser &Photonics Reviews, EarlyView.
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya, Sm Abu Saleah, Daewoon Seong, Naresh Kumar Ravichandran, Sangyeob Han, Ruchire Eranga Wijesinghe, Mansik Jeon, Jeehyun Kim   +7 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source