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A Two-Stage Robust Optimization for Reliable Logistics Network Design via Evolutionary Computation
This paper presents a novel two-stage robust optimization model for designing a dependable logistics network that integrates evolutionary computation techniques. The proposed model considers both the normal and disrupted states...
Information Seeking and Online Deal Seeking Behavior
Deal-seeking behavior is booming over the last decade. This article aims to identify online deal-seeking resources, understand the current status of online deal-seeking and identify key insights and trends for understanding...
Seven non-differentially expressed 'dark biomarkers' show transcriptional dysregulation in chronic lymphocytic leukemia.
Aim: Transcriptional regulation is actively involved in the onset and progression of various diseases. This study used the feature-engineering approach model-based quantitative transcription regulation to quantitatively measure...
How the City of London lost at Brexit
HE Thompson
Aug 23, 2017
The nature of the City of London as an offshore financial centre has long made London dependent on the British state providing protection from external political regulation, even as London’s foreign currency business separated...
A Novel Ensemble Learning Model Combined XGBoost With Deep Neural Network for Credit Scoring
Credit scoring, aiming to distinguish potential loan defaulter, has played an important role in the financial industry. To further improve the accuracy and efficiency of classification, this paper develops an ensemble model...
Inherent SM Voltage Balance for Multilevel Circulant Modulation in Modular Multilevel DC--DC Converters

The modularity of a modular multilevel dc converter (MMDC) makes it attractive for medium-voltage distribution systems. Inherent balance of submodule (SM) capacitor voltages is considered as an ideal property, which avoids a...

Inherent SM Voltage Balance for Multilevel Circulant Modulation in Modular Multilevel DC--DC Converters

The modularity of a modular multilevel dc converter (MMDC) makes it attractive for medium-voltage distribution systems. Inherent balance of submodule (SM) capacitor voltages is considered as an ideal property, which avoids a...

Implementing and Assessing a Teaching Mode Based on Smart Education in English Literature Teaching
This study addresses the problems in traditional English literature teaching methods for Chinese English majors, proposing a new teaching approach based on smart education concepts to enhance learning effectiveness. An...
Visible emission and energy transfer in Tb<sup>3+</sup>/Dy<sup>3+</sup> co-doped phosphate glasses

In this work, we systematically study the spectroscopic properties of Tb3+/Dy3+ co-doped phosphate glasses in the visible spectral region and explore the sensitization role of Dy3+ in the...

Electronic stopping power in gold
The electronic stopping power of H and He moving through gold is obtained to high accuracy using time-evolving density-functional theory, thereby bringing usual first principles accuracies into this kind of strongly coupled...
Visible emission and energy transfer in Tb<sup>3+</sup>/Dy<sup>3+</sup> co-doped phosphate glasses

In this work, we systematically study the spectroscopic properties of Tb3+/Dy3+ co-doped phosphate glasses in the visible spectral region and explore the sensitization role of Dy3+ in the...

Route to high-energy density polymeric nitrogen t-N via He-N compounds.
Polymeric nitrogen, stabilized by compressing pure molecular nitrogen, has yet to be recovered to ambient conditions, precluding its application as a high-energy density material. Here we suggest a route for synthesis of a...
Individual Decision Model for Using Technology of Health Crowdsensing in the Digital Era
Digital transformation has brought about great social changes, and individuals are constantly facing the challenge of using emerging technologies. This article, for the first time, combines the Diffusion of Innovation Theory and...
Leveraging User Ideas for Product Innovation in Open Innovation Communities
The abundance of user ideas in the open innovation community poses a challenge of information overload for enterprises, making it difficult to effectively adopt ideas for product innovation. Existing studies primarily focus on...
R-matrix Electron-impact Excitation Data for the H- and He-like Ions with Z = 6−30
Abstract Plasma models built on extensive atomic data are essential to interpreting observed cosmic spectra. H-like Lyman series and He-like triplets observable in the X-ray band...
Fluorescent probes for the detection of disease-associated biomarkers

Fluorescent probes have emerged as indispensable chemical tools to the field of chemical biology and medicine. The ability to detect intracellular species and monitor physiological processes has not only advanced our...

Stokes drift through corals
JJ Webber, HE Huppert
Oct 01, 2021
We investigate the all-penetrating drift velocities, due to surface wave motion in an effectively inviscid fluid that overlies a saturated porous bed of finite depth. Previous work in this area either neglects the large-scale...
Fluorescent probes for the detection of disease-associated biomarkers

Fluorescent probes have emerged as indispensable chemical tools to the field of chemical biology and medicine. The ability to detect intracellular species and monitor physiological processes has not only advanced our...

Photochromic Fluorescent Probe Strategy for the Super-resolution Imaging of Biologically Important Biomarkers

Here, we report a β-galactosidase (β-Gal)-responsive photochromic fluorescent probe, NpG, that was designed to prebind to human serum albumin (HSA) to form the probe/protein hybrid, NpG@HSA. The formation of NpG@HSA led to an...

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