An Approach to Carbon Emissions Prediction Using Generalized Regression Neural Network Improved by Genetic Algorithm

The study on scientific analysis and prediction of China’s future carbonemissions is conducive to balancing the relationship between economicdevelopment and carbon emissions in the new era, and actively respondingto climate change policy. Through the analysis of the application of thegeneralized regression neural network (GRNN) in prediction, this paperimproved the prediction method of GRNN. Genetic algorithm (GA) wasadopted to search the optimal smooth factor as the only factor of GRNN,which was then used for prediction in GRNN. During the prediction of carbon dioxide emissions using the improved method, the increments of datawere taken into account. The target values were obtained after the calculation of the predicted results. Finally, compared with the results of GRNN,the improved method realized higher prediction accuracy. It thus offers anew way of predicting total carbon dioxide emissions, and the predictionresults can provide macroscopic guidance and decision-making referencefor China’s environmental protection and trading of carbon emissions

EL-VIT: Probing Vision Transformer with Interactive Visualization

Nowadays, Vision Transformer (ViT) is widely utilized in various computer vision tasks, owing to its unique self-attention mechanism. However, the model architecture of ViT is complex and often challenging to comprehend, leading to a steep learning curve. ViT developers and users frequently encounter difficulties in interpreting its inner workings. Therefore, a visualization system is needed to assist ViT users in understanding its functionality. This paper introduces EL-VIT, an interactive visual analytics system designed to probe the Vision Transformer and facilitate a better understanding of its operations. The system consists of four layers of visualization views. The first three layers include model overview, knowledge background graph, and model detail view. These three layers elucidate the operation process of ViT from three perspectives: the overall model architecture, detailed explanation, and mathematical operations, enabling users to understand the underlying principles and the transition process between layers. The fourth interpretation view helps ViT users and experts gain a deeper understanding by calculating the cosine similarity between patches. Our two usage scenarios demonstrate the effectiveness and usability of EL-VIT in helping ViT users understand the working mechanism of ViT.Comment: 10 pages, 7 figures, conferenc

Estimation of skin surface roughness in vivo based on optical coherence tomography combined with convolutional neural network

The texture of human skin is influenced by both external and internal factors, and changes in wrinkles can most directly reflect the state of the skin. Skin roughness is primarily used to quantify the wrinkle features of the skin. Therefore, effective and accurate quantification of skin roughness is essential in skincare, medical treatment, and product development. This study proposes a method for estimating the skin surface roughness using optical coherence tomography (OCT) combined with a convolutional neural network (CNN). The proposed algorithm is validated through a roughness standard plate. Then, the experimental results revealed that skin surface roughness including arithmetic mean roughness and depth of roughness depends on age and gender. The advantage of the proposed method based on OCT is that it can reduce the effect of the skin surface’s natural curvature on roughness. In addition, the method is combined with the epidermal thickness and dermal attenuation coefficient for multi-parameter characterization of skin features. It could be seen as a potential tool for understanding the aging process and developing strategies to maintain and enhance skin health and appearance

Evidence for a Monolayer Excitonic Insulator

The interplay between topology and correlations can generate a variety of unusual quantum phases, many of which remain to be explored. Recent advances have identified monolayer WTe2 as a promising material for exploring such interplay in a highly tunable fashion. The ground state of this two-dimensional (2D) crystal can be electrostatically tuned from a quantum spin Hall insulator (QSHI) to a superconductor. However, much remains unknown about the nature of these ground states, including the gap-opening mechanism of the insulating state. Here we report systematic studies of the insulating phase in WTe2 monolayer and uncover evidence supporting that the QSHI is also an excitonic insulator (EI). An EI, arising from the spontaneous formation of electron-hole bound states (excitons), is a largely unexplored quantum phase to date, especially when it is topological. Our experiments on high-quality transport devices reveal the presence of an intrinsic insulating state at the charge neutrality point (CNP) in clean samples. The state exhibits both a strong sensitivity to the electric displacement field and a Hall anomaly that are consistent with the excitonic pairing. We further confirm the correlated nature of this charge-neutral insulator by tunneling spectroscopy. Our results support the existence of an EI phase in the clean limit and rule out alternative scenarios of a band insulator or a localized insulator. These observations lay the foundation for understanding a new class of correlated insulators with nontrivial topology and identify monolayer WTe2 as a promising candidate for exploring quantum phases of ground-state excitons.Comment: 37 pages, 4 Main Figures + 15 SI Figur

Snx27 Deletion Promotes Recovery From Spinal Cord Injury by Neuroprotection and Reduces Macrophage/Microglia Proliferation

Sorting nexin 27 (SNX27) is an endosome-associated cargo adaptor that is involved in various pathologies and development of neurological diseases. However, the role of SNX27 in spinal cord injury (SCI) remains unclear. In this study, we found that SNX27 was up-regulated in injured mice spinal cords by western blot and immunofluorescence. A comparative analysis of Basso mouse scale (BMS), footprint test and corticospinal tract (CST) tracing in Snx27+/+ and Snx27+/− mice revealed that haploinsufficiency of SNX27 ameliorated the clinical symptoms of SCI. Based on the results of western blot and immunofluorescence, mechanistically, we found that SNX27 deficiency suppresses apoptotic caspase-3 induced neuronal death. In addition, SNX27 haploinsufficiency lowers the infiltration and activation of macrophage/microglia by suppressing their proliferation at the SCI lesion site. Together, these results suggest that down-regulation of SNX27 is a potential therapy targeting both acute neuronal death and chronic neuroinflammation, and promoting nerve repair after SCI

Čínské investice v Africe

Historie čínských investic v Africe není příliš dlouhá, ale vzbuzuje mnoho diskusí. Jedná se jejich netransparentnosti nebo o matoucí rozsah. Některé názory přinášejí pohled přínosu čínských investic pro Afriku, některé argumentují, že se jedná o nový fenomén. Tato práce popisuje sektory a oblasti, ve kterých se uskutečňují čínské investice, a zároveň ozřejmují půjčky a dluhy a nakonec předkládá některé názory a náměty.The history of Chinese investment in Africa did not last long, but it brings a lot of discussions. Some people think that investment is opaque; some people think that the amount of investment is confusing; some people think that Chinese investment in Africa has provided a lot of help for Africa, and some people believe that this is new. The embodiment of colonialism, this paper describes the sectors and areas in which Chinese investments are going through, and at the same time, depicts loans and debt issues and finally gives some opinions and suggestions

PREDICTIVE REGRESSION ANALYSIS OF HOUSING PRICE IN IOWA

This thesis presents an analysis of predictive modeling techniques and outlier detection methods in the context of real estate sale price prediction. The study aims to find an optimal regression model by integrating variable selection procedures, influential observation removal, and regression outlier detection, and understand the impacts of different variable selection methods. The investigation, conducted on a real-world housing dataset, evaluates the models using metrics such as Mean Square Error (MSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE).This thesis presents an analysis of predictive modeling techniques and outlier detection methods in the context of real estate sale price prediction. The study aims to find an optimal regression model by integrating variable selection procedures, influential observation removal, and regression outlier detection, and understand the impacts of different variable selection methods. The investigation, conducted on a real-world housing dataset, evaluates the models using metrics such as Mean Square Error (MSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE)

An Evolutionary Game Model for Quality Control of Agricultural Supermarket Matched Supply Chain with Government Participation

Based on the basic problems such as the motivation of the quality and safety management and control of the agricultural supermarket docking supply chain, this paper studies the game behavior of the three parties involved in the agricultural professional cooperatives, large chain supermarkets and government regulatory departments in the agricultural supermarket docking supply chain under the influence of government participation. To build a three-party evolutionary game model for the quality and safety management and control of agricultural supermarket docking supply chain with the participation of the government, the goal is to find a stable strategy for the game parties to maintain cooperation, so as to ensure the safety of agricultural supermarket docking supply chains

Patterning of Au nanoparticles via secondary phase-separation of large-sized compound micelles of amphiphilic block copolymer

This work contributes to a new protocol of patterning gold nanoparticles (NPs) via secondary phase-separation of micelle template of PS-b-P2VP-b-PEO block copolymer. The immiscibility between hydrophobic PS and hydrophilic P2VP and PEO leads to a bulk phase-separation in large compound micelles (LCMs) when heated at the temperature of 130 degrees C. The bulk-separated template then constitutes an ideal precursor for Au NPs loading by an immersion in an aqueous solution bath of chloroauric acid such that the primed P2VP domains would coordinate to the charged [AuCl4](-) through electrostatic interactions. With the following treatment of air plasma, pseudo-hexagonal nanopatterns are created with Au NPs on P2VP matrix. (C) 2017 Elsevier B.V. All rights reserved