bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of dynamic transmission of HPV with reproduction numbers R0
Authors: Ou Bangqi 
Published: November 2023

Abstract
In this paper, we discuss the patterns of the transmission of how the Human papillomavirus (HPV) spreads in the public. We analyze the behaviors of infectious disease in SIR, SEIR, and Multistrian models. In terms of this disease, HPV has many subtypes, some are high-risk, and some are low-risk. Unfortunately, many people in some areas are not aware of it. That will always cause many delays for the disease and aggravations. The harm caused by HPV is different for different groups of people, people will take various measures to handle the situation according to the severity. We divided them into 3 cases. That is case1-negative for people who may have caught HPV; case 2-negative people who may have caught HPV, but excluding exposures; case 3-negative for people who is sure to catch HPV. After that, by computing the disease-free equilibrium (DFE) to get the value for calculating reproduction number
R
0
to estimate the stability for every case. Then the way of getting the derivatives and partitioned matrix and computing reproduction number with the measure of the Jacobian matrix were used for deciding the response for the epidemic eventually.
Simulation and optimization of metal gate CMOS process and circuit by TCAD
Authors: Tong Yushang 
Published: November 2023

Abstract
The feature size of CMOS transistors is shrinking as the semiconductor industry and technology advance. This phenomenon will have significant research implications for how to change device performance and maintain good performance. As a result, this paper completed a design and simulation of the CMOS process flow using TCAD. It was discovered through a qualitative analysis of the simulation results that the transfer and input characteristics of NMOS transistors decrease proportionally with the scale factor.
Recent advances of colloidal quantum dots in a physical perspective
Authors: Mo Jieqing 
Published: November 2023

Abstract
In quantum-confined semiconductor nanostructures, electrons show unique behaviors compared to bulk solids, which endows materials with tunable physicochemical and photoelectric properties. Zero-dimensional semiconductor quantum dots (QDs) provide intense light absorption and strong narrowband emission at visible and infrared bands, and have been employed to exhibit optical gain and lasing. These properties are beneficial for different application. Here, we provide a review in the synthesis and understanding of unique properties of colloidal QDs, and discuss their applications in display, lasers, sensing and solar energy conversion.
Study and analysis of lift to drag ratio performance of supercritical wing based on computational fluid dynamics method
Authors: Bai Xuyang 
Published: November 2023

Abstract
As the main airfoil of large fixed-wing aircraft at present, the supercritical wing has better performance than the traditional airfoil, especially its aerodynamic performance. Therefore, it is necessary to calculate and experiment with the supercritical wing to optimize its structure. In this paper, computational fluid dynamics (CFD) technology is used to evaluate and compare the performance of a supercritical wing (half wingspan) and a flat wing (half wingspan) with similar size and the same boundary conditions. First, shrink modelling of the two airfoils is performed using the similarity principle. Then it was imported into the simulation environment to calculate the lift-drag ratio under different boundary conditions and draw a corresponding dot plot for comparison. The results show that the aerodynamic indexes of the supercritical wing are better than those of the flat wing of the same size at the cruise stage. Under the standard cruise condition (the angle of attack of the flow is 2°, the air density is 0.5259 kg/m3, and the incoming flow velocity is 800 km/h, for example), the lift-drag ratio of the supercritical wing is increased from 15.0855 to 28.1962 by 1.869 times.
Research on high frequency reliability of silicon carbide MOSFETs resonant circuit
Authors: Shan Yuxuan 
Published: November 2023

Abstract
Silicon carbide MOSFETs could process high power at high switching frequency with little loss. The driving circuit produce loss, which is proportional to the switching frequency. Resonant gate driving circuit, which has a inductor to produce resonant with a parasitic capacitor to recycle energy is used to reduce energy loss in the high frequency situation. Firstly, this paper introduces the simplest resonant gate driver. After that, three different types of resonant gate driver with their similar versions are introduced. In these optimized circuits, the third resonant gate driver (RGD3) is the simplest to control and has the lower energy loss, but the second resonant gate driver (RGD2) has faster switching speed and the first resonant gate driver (RGD1) provides more loops to energy feedback.
Design of a Ka-band power amplifier
Authors: Ma Ruitao 
Published: November 2023

Abstract
This paper introduces the design of a type of power amplifier working in the Ka-band, which has three stages based on 45nm CMOS technology. The operating frequency is 25-27GHz, and it has good efficiency and linearity. Among them, the driving stage adopts a cascode structure, the power stage adopts common source structure, and the matching network adopts a transformer structure. Using Cadence Virtuoso for simulation at the operating voltage of 1.8V, power gain of the single-ended power amplifier is 44.76 dB, saturation output power is 14.66 dBm, the output power at the 1dB compression point is 12.9dBm, and corresponding power-added efficiency is 22.19%.
An optimal algorithm for bilateral filtering
Authors: Li Rongdi 
Published: November 2023

Abstract
Noise is unavoidable in digital signal processing, therefore studying effective denoising method is very important. Bilateral filter is one of them as effective filter methods. But the parameters of conventional bilateral filter are often fixed, thus we can’t realize adaptive parameters according to contents of videos or pictures. A video denoising algorithm based on both spatial domain and time domain is proposed in this paper to improve the video quality based on bilateral filter. This algorithm can adaptively estimate noise intensity, edge intensity and apply motion detection, which will be employed to adaptively adjust the bilateral filter strength. Peak signal to noise ratio (PSNR) is elevated significantly by the proposed algorithm after experimental verification..
A light-weighted convolutional neural network for image classification in autopilot system
Authors: Yutong Tian 
Published: November 2023

Abstract
Autopilot has been a heated technology in recent days, and it is used in plenty of car brands. People are becoming dependent on autopilot technology. However, before this technology becomes mature, there are still a lot of insufficiencies that need to improve. The focus of this essay is on the object detection shortage that exists in the autopilot system. This essay is first going to introduce a lite CNN-based method to improve the object detection and identification module. In the result part of the essay, the essay is going to show the result of the training and some new prediction function will be implemented. Also, some accuracy improving methods including data augmentation and Dropout will be introduced, and the effect of the improving methods will be shown in the essay. After training, the autopilot system is going to distinguish pedestrians from vehicles. Although the road condition is far more complex than just vehicles and pedestrians, for convenience this essay is only going to implement the two datasets. Also, some further improvement intension will be introduced.
VGG-based discrimination for pneumonia images enhanced by Generative Adversarial Network
Authors: Zeng Xiyin 
Published: November 2023

Abstract
Due to problems such as blurring of chest X-ray image and double shadow of heart and lung, the accuracy of judging whether there is COVID-19 is not high. This study intends to use Generative Adversarial Network (GAN) to segment images, and then put the segmented image set into the classification algorithm to determine whether it is infected by the pneumonia. The data set is divided into “normal” and “pneumonia”. In order to remove the interference of rib and heart on lung contour in X-ray image, GAN technology is used to segment the original data set. The segmented image only retains the most important lung silhouette, which is convenient for the next step of recognition and information extraction. The classification algorithm uses Visual Geometry Group (VGG)-16. During the training, only fully connected layer 1 and fully connected layer 2 layers were trained, and the rest layers were frozen. When the model loads the original weight, the top level of the model will be replaced by the head model. The head model is placed on the basic model and becomes part of the actual training model to determine the best weight. After the original X-ray image is processed by GAN, the accuracy of the segmented lung image is improved from 84% to 98%. Loss decreased from 17% to 3%, and the accuracy of classification results was greatly improved. Therefore, it is proved that the segmented image can effectively remove irrelevant parts in the recognition process, and the accuracy is improved due to the removal of noise interference and clearer lung contour.
Researches advanced in VSLAM for dynamic environment
Authors: Wang Qimin , Wu Peilin 
Published: November 2023

Abstract
Simultaneous Localization and Mapping (SLAM), which has been widely utilized in a number of different fields, including unmanned vehicle, path planning, and robotics, has always been a topic of significant concern to computer vision community. Visual SLAM (VSLAM) only relies on cameras as sensors. Compared with lidar SLAM, data collection is convenient and low-cost, and it is the most representative technical direction in SLAM research. Traditional visual SLAM (VSLAM) mainly focuses on the static or low speed objects. However, in real life, most objects are moving, which makes the performance of traditional visual SLAM technology in the dynamic environment is not ideal. Benefited from the development of deep learning, VSLAM in dynamic scenes has make breakthrough in both accuracy and robustness. In this paper, the concept of SLAM and the development history of VSLAM are briefly introduced, and then the common methods used for dynamic region detection in semantic VSLAM are described in detail, which mainly include methods that use deep learning, methods that use optical/scene flow, and methods that use multi-view geometry. In addition, the existing data sets and evaluation indexes are also introduced. At the end of the paper, the current problems and shortcomings of semantic VSLAM are pointed out, and the future is prospected.
Research on the deposition and properties characterization of novel conductive getter films on the inner wall of accelerator vacuum chamber
Authors: Ge Xiaoqin , Ma Wenjing , Zhu Bangle , Bian Baoyuan , Wang Yigang , Fan Le , Hong Yuanzhi , Zhang Wenli , Xu Xiaopeng , Wang Sihui 
Published: November 2023

Abstract
The new generation diffraction-limited storage ring has
small vacuum chamber apertures, resulting in a distributed vacuum
problem. Depositing a Ti-Zr-V NEG film layer on the inner face of
vacuum chambers is an ideal solution for resolving the non-uniform
vacuum distribution problem. However, Ti-Zr-V NEG coatings on the
surface of the vacuum chamber increase its surface resistivity,
which can intensify the wakefield impedance effect. This article
proposes adding conductive Ag to the Ti-Zr-V NEG film. A novel
Ti-Zr-V-Ag NEG film not only has good vacuum performance, but also
has good conductivity. Ti-Zr-V-Ag NEG film is successfully prepared
by magnetron sputtering. The activation kinetic processes and
surface resistivity of Ti-Zr-V-Ag and Ti-Zr-V NEG films are detected
in detail, and comparative research on the activation behavior and
surface resistivity of Ti-Zr-V-Ag films deposited with various
sputtering pressures is investigated. The results show that adding
pure metallic silver to the Ti-Zr-V film effectively decreases the
DC resistivity of the NEG films, and this reduction can be further
enhanced by reducing the sputtering pressure. The activation
kinetics behavior of the Ti-Zr-V-Ag film shows minor degradation
compared with that of the Ti-Zr-V film.
Storm-induced saltwater intrusion responds divergently to sea level rise in a complicated estuary
Authors: Yang Jie , Zhang Wei 
Published: November 2023

Abstract
Global warming and sea level rise (SLR) not only increase the intensity and frequency of coastal hazards but also complicate associated dynamics. The exacerbated saltwater intrusion in this context will further be adversely affected by storms with deepening distances and growing duration, aside from the simultaneous coastal flooding they cause. Here, we investigate storm-induced saltwater intrusion and its responses to SLR in the Pearl River Estuary by numerical simulation. Predominant in competition with river runoffs, typhoons passing by cause fast stratification and dramatic increase of saltwater intrusion lengths via wind mixing. Stronger destratification and longer recovery time are linked to a narrow long channel, where the tidal excursion is weak owing to bay/channel-shape modulation. The rising sea levels enhance the tidal prism and shift the saline water universally to the upper reaches, and this impact tends to be amplified in the upper part of the bays owing to the narrowing bay shape and shoaling bathymetry. The saltwater intrusion length could be expressed as a linear relationship with the water level, but with divergent responses to storms, depending on bay/channel shapes. Amplification of saline intrusion is indicated in the channel-shaped estuary, but the farthest distance during a storm is less sensitive to SLR than in a bell-shaped estuary. The present study reveals the potential importance of storm-induced compound hazards to coastal communities, and highlights the notably specific salinity responses whereby tributary morphology.
A high efficiency gas phase photoreactor for eradication of methane from low-concentration sources
Authors: Krogsbøll Morten , Russell Hugo S , Johnson Matthew S 
Published: November 2023

Abstract
Despite the urgent need, very few methods are able to efficiently remove methane from waste air with low cost and energy per unit volume, especially at the low concentrations found in emissions from e.g. wastewater treatment, livestock production, biogas production and mine ventilation. We present the first results of a novel method based on using chlorine atoms in the gas phase, thereby achieving high efficiency. A laboratory prototype of the methane eradication photochemical system (MEPS) technology achieves 58% removal efficiency with a flow capacity of 30 l min−1; a reactor volume of 90 l; UV power input at 368 nm of 110 W; chlorine concentration of 99 ppm; and a methane concentration of 55 ppm; under these conditions the apparent quantum yield (AQY) ranged from 0.48% to 0.56% and the volumetric energy consumption ranged from 36 to 244 kJ m−3. The maximum achieved AQY with this system was 0.83%. A series of steps that can be taken to further improve performance are described. These metrics show that MEPS has the potential to be a viable method for eliminating low-concentration methane from waste air.
Economic impacts of climate change on EU agriculture: will the farmers benefit from global climate change?
Authors: Hristov Jordan , Pérez Domínguez Ignacio , Fellmann Thomas , Elleby Christian 
Published: November 2023

Abstract
This paper analyses how climate change might impact EU agricultural markets by mid-century, considering a large ensemble of climate change projections from different models, market adjustments and trade feedbacks. Applying consistent climate change driven productivity shocks to a global multi-commodity agricultural market model we show that the negative direct effects from climate change on crop production in the EU could be offset by market and trade adjustments. The simulations reveal that climate change has heterogeneous impacts across regions. EU farming sector, in particular, might actually benefit from climate change as the impacts on agricultural productivity are expected to be more severe in important non-EU production regions such as US, Russia and Ukraine, depending on the crop. Higher producer prices for important crops such as wheat, barley, grain maize, rice and soybeans, lead to an increase in EU production and exports. For instance EU wheat production could increase by 13% and exports by 28%, with 19% higher farm incomes on average than in a business-as-usual situation. Our study has several limitations. In particular, we do not consider CO2 fertilization effects and direct effect from climate change on livestock sector, climate variability and extreme weather effects. Notwithstanding, our findings highlight the heterogeneity of climate change impacts across regions, specifically Northern versus Southern Europe, and the importance of market and trade adjustments as economic adaptation mechanisms to climate change.
Northeast Pacific marine heatwaves associated with high-latitude atmospheric blocking
Authors: Niu Xingfei , Chen Yihui , Le Chengfeng 
Published: November 2023

Abstract
The Northeast Pacific Ocean (NEP) is one of the hotspots of marine heatwaves (MHWs) occurring in the global ocean. The causes of MHWs in this region have been widely investigated, but the physical processes underlying heatwaves and regional climate variability remain under debate. By analyzing interannual large-scale high-latitude atmospheric dynamics and oceanic physical conditions over the NEP, we show that winter-spring sea surface temperature (SST) anomalies are strongly correlated with winter-spring atmospheric blocking events over Alaska. The occurrence of weaker westerly wind over the subarctic region over the NEP during the period of the blocking, accompanies a shallower vertical mixed layer, less southward horizontal Ekman transport, and higher SST in the upper NEP. These findings establish a linkage between high-latitude atmospheric dynamics and subarctic oceanic conditions and reveal the physical mechanisms of this connection, providing new insight into the possible causes of MHW in the NEP.
Zoo guide to network embedding
Authors: Baptista A , Sánchez-García R J , Baudot A , Bianconi G 
Published: November 2023

Abstract
Networks have provided extremely successful models of data and complex systems. Yet, as combinatorial objects, networks do not have in general intrinsic coordinates and do not typically lie in an ambient space. The process of assigning an embedding space to a network has attracted great interest in the past few decades, and has been efficiently applied to fundamental problems in network inference, such as link prediction, node classification, and community detection. In this review, we provide a user-friendly guide to the network embedding literature and current trends in this field which will allow the reader to navigate through the complex landscape of methods and approaches emerging from the vibrant research activity on these subjects.
Climate change impacts on global potato yields: a review
Authors: Adekanmbi Toyin , Wang Xiuquan , Basheer Sana , Liu Suqi , Yang Aili , Cheng Huiyan 
Published: November 2023

AbstractPotatoes as a food crop contribute to zero hunger: Sustainable Development Goal 2. Over the years, the global potato supply has increased by more than double consumption. Changing climatic conditions are a significant determinant of crop growth and development due to the impacts of meteorological conditions, such as temperature, precipitation, and solar radiation, on yields, placing nations under the threat of food insecurity. Potatoes are prone to climatic variables such as heat, precipitation, atmospheric carbon dioxide (CO2), droughts, and unexpected frosts. A crop simulation model (CSM) is useful for assessing the effects of climate and various cultivation environments on potato growth and yields. This article aims to review recent literature on known and potential effects of climate change on global potato yields and further highlights tools and methods for assessing those effects. In particular, this review will explore (1) global potato production, growth and varieties; (2) a review of the mechanisms by which changing climates impact potato yields; (3) a review of CSMs as tools for assessing the impacts of climate change on potato yields, and (4) most importantly, this review identifies critical gaps in data availability, modeling tools, and adaptation measures, that lays a foundation for future research toward sustainable potato production under the changing climate.
Snapper: high-sensitive detection of methylation motifs based on Oxford Nanopore reads
Authors: Konanov Dmitry N , Babenko Vladislav V , Belova Aleksandra M , Madan Arina G , Boldyreva Daria I , Glushenko Oksana E , Butenko Ivan O , Fedorov Dmitry E , Manolov Alexander I , Krivonos Danil V , Lazarev Vassilii N , Govorun Vadim M , Ilina Elena N 
Published: November 2023

Abstract

Motivation
The Oxford Nanopore technology has a great potential for the analysis of methylated motifs in genomes, including whole-genome methylome profiling. However, we found that there are no methylation motifs detection algorithms, which would be sensitive enough and return deterministic results. Thus, the MEME suit does not extract all Helicobacter pylori methylation sites de novo even using the iterative approach implemented in the most up-to-date methylation analysis tool Nanodisco.

Results
We present Snapper, a new highly sensitive approach, to extract methylation motif sequences based on a greedy motif selection algorithm. Snapper does not require manual control during the enrichment process and has enrichment sensitivity higher than MEME coupled with Tombo or Nanodisco instruments that was demonstrated on H.pylori strain J99 studied earlier by the PacBio technology and on four external datasets representing different bacterial species. We used Snapper to characterize the total methylome of a new H.pylori strain A45. At least four methylation sites that have not been described for H.pylori earlier were revealed. We experimentally confirmed the presence of a new CCAG-specific methyltransferase and inferred a gene encoding a new CCAAK-specific methyltransferase.

Availability and implementation
Snapper is implemented using Python and is freely available as a pip package named “snapper-ont.” Also, Snapper and the demo dataset are available in Zenodo (10.5281/zenodo.10117651).