Comprehensive review on gene mutations contributing to dilated cardiomyopathy

Dilated cardiomyopathy (DCM) is one of the most common primary myocardial diseases. However, to this day, it remains an enigmatic cardiovascular disease (CVD) characterized by ventricular dilatation, which leads to myocardial contractile dysfunction. It is the most common cause of chronic congestive heart failure and the most frequent indication for heart transplantation in young individuals. Genetics and various other factors play significant roles in the progression of dilated cardiomyopathy, and variants in more than 50 genes have been associated with the disease. However, the etiology of a large number of cases remains elusive. Numerous studies have been conducted on the genetic causes of dilated cardiomyopathy. These genetic studies suggest that mutations in genes for fibronectin, cytoskeletal proteins, and myosin in cardiomyocytes play a key role in the development of DCM. In this review, we provide a comprehensive description of the genetic basis, mechanisms, and research advances in genes that have been strongly associated with DCM based on evidence-based medicine. We also emphasize the important role of gene sequencing in therapy for potential early diagnosis and improved clinical management of DCM

Inventory Replenishment Models with Advance Demand Information for Agricultural Online Retailers

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Dynamic lot-sizing models for retailers with online channels

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Designing public storage warehouses with high demand for revenue maximisation

International audienceThe design of public storage warehouses needs to fit market segments to increase the average revenue in an environment of high demand. This paper presents a revenue model integrated with queuing and price-demand theories to solve the design and pricing problem for public storage warehouses. We consider two demand cases in the model, which are exponential demand and piecewise linear demand. We also develop a solution based on dynamic programming techniques to solve the problem. Using data from a warehouse, we conduct numerical experiments. Results show that our approach can improve the expected revenue of public storage warehouses with high demand by 16.6% on average. We further conduct sensitivity analysis on price, and investigate the relation between revenue and price.<br/

Dynamic lot-sizing models with pricing for new products

International audienc

Designing public storage warehouses with high demand for revenue maximisation

International audienceThe design of public storage warehouses needs to fit market segments to increase the average revenue in an environment of high demand. This paper presents a revenue model integrated with queuing and price-demand theories to solve the design and pricing problem for public storage warehouses. We consider two demand cases in the model, which are exponential demand and piecewise linear demand. We also develop a solution based on dynamic programming techniques to solve the problem. Using data from a warehouse, we conduct numerical experiments. Results show that our approach can improve the expected revenue of public storage warehouses with high demand by 16.6% on average. We further conduct sensitivity analysis on price, and investigate the relation between revenue and price

Flexible and Broad-Spectral Hybrid Optical Modulation Transistor Based on a Polymer–Silver Nanoparticle Blend

The light-matter interplay on a soft substrate is critically important for novel optoelectronic applications such as soft robotics, human–machine interfaces, and wearable devices. Here, we for the first time report a flexible and efficiency–enhanced hybrid optical modulation transistor (h-OMT) in the ultraviolet–infrared spectral range by blending a polymer with silver nanoparticles (AgNPs). The h-OMT device exhibits a unipolar transport and an ultrahigh on-off ratio of ∼4.8 × 10⁶ in a small voltage range of ∼2 V. Using charge modulation reflection spectroscopy, we demonstrate that the h-OMT device shows a broad-spectral response from 400 to 2000 nm and maximum optical modulation of ∼15% at λ = 785 nm, 6-fold higher magnitude than that of the device without AgNPs. Furthermore, the incorporation of AgNPs enhances the extinction ratio by 4-fold magnitude without any complex geometry designs. We find that the performance improvement relies on the AgNP-induced electron trap states and electrochemical dopings in the polymer. Importantly, the device exhibits pronounced mechanical flexibility, and the optical modulation is kept down to a bending radius of 0.5 mm. Our data provide the possibility of organic materials for constructing novel optoelectronic systems in the future

Scheduling a tempered glass manufacturing system: a three-stage hybrid flow shop model

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