Results 181 to 190 of about 544,925 (236)

Advances in Double‐Stranded DNA Targeting Technologies

Exploration, EarlyView.
Double‐stranded DNA (dsDNA) plays a crucial role in genetic information storage and disease management, but its inherent stability limits access to internal bases. To overcome this challenge, various high‐specificity molecular targeting technologies have been developed to destabilize the DNA structure.
Zuhao Shen, Yiqun Liu, Yingjie Hao, Yifan Bo, Xiaochuan Dai, Shihui Wang, Tian Xia, Xin Su, Huiyu Liu   +8 more
wiley   +1 more source

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

Journal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, EarlyView.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Micro and Nanoencapsulation of Omega‐3 Fatty Acids: Functional Applications and Future Perspectives in Food Systems

Food Safety and Health, EarlyView.
Whey protein‐based microencapsulation for omega‐3 PUFA delivery in food systems. Objective: Enhance oxidative stability & bioavailability of omega‐3 PUFAs using whey protein as an encapsulating agent. Current methods: Spray drying & coacervation—effective but limited by heat sensitivity and encapsulation efficiency. Emerging technologies: Electrospray &
Jihan M. Kassem, Fadwa W. Abdulqahar, Ahmed A. Zaky, Mohamed Said Boulkrane, Aya Darwish, Amr Farouk, Beraat Ozçelik, Osama Magouz, Xueming Liu, Tamer M. El‐Messery   +9 more
wiley   +1 more source

Spin‐Crossover Modulated Luminescence in Materials and Molecular Complexes

Helvetica Chimica Acta, EarlyView.
The synergistic coupling of spin‐crossover and luminescent properties holds great promise for the development of multifunctional and stimuli‐responsive molecular materials. This contribution provides a comprehensive overview of the field, surveying the possible coupling mechanisms, the various synthetic strategies and their potential applicability, as ...
Charlotte Egger, Claude Piguet
wiley   +1 more source

Scaling With Bias? The Role of Founders' HR Knowledge and Experience in Hiring and Managerial Appointments

Human Resource Management, EarlyView.
ABSTRACT New ventures are expected to continuously add new jobs and managerial positions to meet the expanding demands of scaling. However, the rapid pace and inherent uncertainty of scaling often lead founders of new ventures to rely on heuristics when making these critical hiring and managerial appointment decisions.
Mohamed Genedy, Lucia Naldi, Karin Hellerstedt, Johan Wiklund   +3 more
wiley   +1 more source

Hydrogen Halide Gas Sensors: Active Materials, Operation Principles, and Emerging Technologies

Interdisciplinary Materials, EarlyView.
This review considers hydrogen halide (HX) gas sensors across functional materials and principles: acoustic, chemical, optical and nanophotonic. The strong acidity and reactivity of HX gases are discussed as constraints for stability and selectivity of these devices.
Xiuzhen Liu, Nikita Tukachev, Kehang Wang, Dmirty Zhirihin, Yaopeng Cheng, Pavel Krasnov, Mingzhao Song, Soslan Khubezhov, Wenping Yin, Emmanuel Stratakis, Sailing He, Andrey L. Rogach, Sergey Makarov   +12 more
wiley   +1 more source

Ultrafast in‐memory computing and highly efficient deep neural networks driven by phase‐change memory materials with partially amorphous state transitions

InfoScience, EarlyView.
This work addresses challenges including the nonlinear weight‐conductance update and the trade‐off between increasing melting uniformity and reducing solid‐to‐liquid transition time. It utilizes all four melting states to create an integrated framework for attaining in‐memory computing and deep neural network applications. The framework achieves a near‐
Kian‐Guan Lim, Shao‐Xiang Go, Qiang Wang, Dong‐Gwan Kim, Chan‐Hwi Baek, Qishen Wang, Tae Hoon Lee, Desmond K. Loke   +7 more
wiley   +1 more source

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On the $q$-continuous natural exponential family

Теория вероятностей и ее применения
В этой статье мы представляем концепцию $q$-натуральных экспоненциальных семейств в рамках $q$-исчисления, которое расширяет классическое понятие, используя $q$-ядро $e_q^{\theta x f(x)^{q-1}}$ вместо традиционного экспоненциального ядра $e^{\theta x}$.
BenSalah Nahla
openaire   +2 more sources

Haight's distributions as a natural exponential family

Statistics & Probability Letters, 1988
In an index to the distributions of mathematical statistics, \textit{F. A. Haight} [J. Res. Nat. Bureau of Standards 65B(1), 23-60 (1961)] considers, without giving any references, the following distribution: \[ \alpha^{-1}\exp (-xe^{\alpha}\alpha^{- 1})\sum^{\infty}_{n=0}(n+1)^{n-1}(n!)^{-2}x^ n\mathbf{1}_{(0,\infty)}(x)dx\quad for\quad ...
Letac, Gérard, Seshadri, V.
openaire   +2 more sources