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1. Risk Assessment of Software Project Based on Principal Component Analysis and Neural Network | |||
Cui Ran,Zhang Xiaohang,Tong Lei,Hou Chao | |||
Management 11 March 2024 | |||
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Abstract:With the development of software industry, the risk of software project attracts extensive attention increasingly within the industry. Due to there be feature, which is typical nonlinear of risk assessment of software project, therefore, the paper make risk evaluation by way of applying neural network. And meanwhile, there are so many related factors, which can affect risk of software project, here we simplify dimension of data by conduct principal component analysis. By study the case of a practical application in a software company, we found that, evaluation model predict accurately and has a high practical value by combining use of principal component analysis and neural network. | |||
TO cite this article:Cui Ran,Zhang Xiaohang,Tong Lei, et al. Risk Assessment of Software Project Based on Principal Component Analysis and Neural Network[OL].[11 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762498 |
2. Efficient production of ε-poly-L-lysine from L-lysine in <i>Streptomyces albulus</i> by L-lysine importer identification and overexpression | |||
Zhang Jiawei,Chen Xusheng | |||
Biology 11 March 2024 | |||
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Abstract:ε-Poly-L-lysine (ε-PL) is a natural cationic antimicrobial peptide widely recognized for its potential in food preservation. Current production methods predominantly rely on de novo synthesis utilizing substrates like glucose, with some studies exploring the supplementation of lysine to enhance fermentation efficiency. However, lysine transporters have not been investigated. In this study, we employed genomic and bioinformatic strategies to pinpoint seven potential lysine transporters in <i>S. albulus</i> . Gene knockout experiments confirmed <i>GL6157</i> as a functional lysine transporter. Overexpression of lysine transporters with different promoters increased lysine consumption by 19.3% and ε-poly-lysine yield by 10% during fermentation | |||
TO cite this article:Zhang Jiawei,Chen Xusheng. Efficient production of ε-poly-L-lysine from L-lysine in <i>Streptomyces albulus</i> by L-lysine importer identification and overexpression[OL].[11 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762469 |
3. Intensity-driven bounding box supervised brain white matter hyperintensities segmentation algorithm | |||
Cheng Ao | |||
Computer Science and Technology 08 March 2024 | |||
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Abstract:White matter hyperintensities (WMHs) serves as a crucial imaging feature for assessing cerebral white matter abnormalities, and accurate segmentation of WMHs holds significant importance for tracking disease progression, evaluating treatment effects, and studying and understanding various neurological and geriatric disorders. Presently, deep learning-based methods for WMHs segmentation rely heavily on extensively annotated training data at the pixel level. However, the irregular shapes, random distribution, and fuzzy boundaries characteristic of WMHs make acquiring pixel-level precise labels prohibitively costly. To mitigate the reliance on pixel-level annotations, this paper introduces an intensity-driven bounding box supervised brain white matter hyperintensities segmentation algorithm (IDBB), which substitutes precise labels with weak bounding box labels during model training. IDBB employs an intensity-based adaptive thresholding method to generate pixel-level pseudo-labels from bounding box labels and trains the segmentation network using both Dice loss and cross-entropy loss. Additionally, this paper introduces a WMHs segmentation dataset containing bounding box labels of various sizes, serving as a benchmark dataset for bounding box supervised WMHs segmentation tasks. Results demonstrate that the proposed method achieves segmentation performance on the Dice similarity coefficient (DSC) comparable to 90\% of fully supervised methods, surpassing other weakly supervised approaches. Experimental validation illustrates the effectiveness of the proposed method in reducing annotation costs while achieving satisfactory segmentation performance. | |||
TO cite this article:Cheng Ao. Intensity-driven bounding box supervised brain white matter hyperintensities segmentation algorithm[OL].[ 8 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762582 |
4. Cold Start Mitigation Approach for Serverless Applications Based on Adaptive Container Pool | |||
LI Zhuo,WANG Chun | |||
Computer Science and Technology 08 March 2024 | |||
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Abstract:With the development of cloud computing technology, Serverless is becoming increasingly popular among developers as an emerging paradigm for building applications in the cloud. Serverless allows developers to focus on the logic of applications without worrying about underlying server management. However, the performance of serverless applications is easily affected when facing cold start issues. In order to mitigate the impact of cold start issues on serverless applications, this paper proposes a cold start mitigation approach for serverless applications based on adaptive container pools to reduce the overall latency caused by cold start issues. This approach optimizes the cold start latency of serverless applications based on the internal structure of serverless applications, through the analysis of container pool mechanisms and request history. Experiments show that this approach has achieved significant effects in improving the performance of serverless applications and the efficiency of cloud resource utilization. | |||
TO cite this article:LI Zhuo,WANG Chun. Cold Start Mitigation Approach for Serverless Applications Based on Adaptive Container Pool[OL].[ 8 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762581 |
5. Quantum Transport Simulations of α-In2Se3 Antiferroelectric Tunnel Junctions | |||
Zhang Lingxue,Zhang Jiaxin,Sun Yuxuan,Li Wei,Quhe Ruge | |||
Physics 08 March 2024 | |||
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Abstract:Due to semiconductor characteristics and non-volatile ferroelectricity, two-dimensional (2D) In2Se3 are considered as potential candidates for next-generation storage and computing devices. Based on first principles calculations, we designed antiferroelectric tunnel junctions (AFTJs) using α-In2Se3 as channels. The tunneling barrier height is controlled by the antiferroelectric to ferroelectric (AFE-FE) phase transition of the channel. A maximum current ratio up to 426 is predicted between the AFE and FE phases, enabling the two distinct memory states. By constructing two AFTJs into a calculation unit, the total current can either be fully turned on/off or function as XNOR logic with bias as inputs. Our research provides a new approach to implementing integrated storage and computing devices, making it possible for efficient data centric applications in the era of big data. | |||
TO cite this article:Zhang Lingxue,Zhang Jiaxin,Sun Yuxuan, et al. Quantum Transport Simulations of α-In2Se3 Antiferroelectric Tunnel Junctions[OL].[ 8 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762525 |
6. Funnel Control of Lower-Triangular Nonlinear Systems With Singular Input-output Links | |||
Hai Liu,Yong-Hua Liu,Chun-Yi Su | |||
Electrics, Communication and Autocontrol Technology 08 March 2024 | |||
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Abstract:In this article, we delve into the issue of output tracking control with predefined transient behavior for lower-triangular nonlinear systems (LTNSs), especially when faced with the presence of unknown nonlinearities. Unlike the results in the current state of the art, the LTNS under consideration exhibits singular input-output links, which is inherently not feedback linearizable. This general characteristic significantly complicates the controller design process, rendering the tool of adding one power integrator (AOPI) ineffective. In response to this challenge, we develop a novel funnel control (FC) algorithm that ingeniously leverages the bilateral barrier functions (BBFs) alongside the $\varrho-\delta$ definition of limit, to meet predefined transient performance specifications of the output tracking. To validate the efficacy of the proposed FC approach, we conduct a comprehensive evaluation of key performance metrics, including tracking error and transient response. | |||
TO cite this article:Hai Liu,Yong-Hua Liu,Chun-Yi Su. Funnel Control of Lower-Triangular Nonlinear Systems With Singular Input-output Links[OL].[ 8 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762514 |
7. Optimized LightGBM-Based Survival Prediction Model for ENKTL | |||
Wenke Lian,Yu Song,Dong Dong,Wenxiang Yang,Huafeng Zeng,Shibiao Xu,Li Guo,Fengyang An,Xuemei Zhu | |||
Computer Science and Technology 08 March 2024 | |||
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Abstract:With the rapid advancements in artificial intelligence and machine learning, particularly in fields like image recognition, time series forecasting, disease diagnostics, and certain tumor prognostics, these technologies have demonstrated clear advantages over traditional statistical methods, offering vital support for developing more precise predictive models. However, challenges arise due to frequent data omissions in clinical datasets and the intricate relationships between data and survival outcomes. This study specifically addresses the complex survival relationships in ENKTL by comparing discrete and continuous time survival prediction methodologies. It employs an HSIC-Lasso optimized LightGBM algorithm for discrete-time survival forecasting, successfully predicting ENKTL patient survival rates. By evaluating the impact of various interpolation techniques on the predictive accuracy of models dealing with missing values, this work enhances the precision of discrete-time survival forecasts. The findings not only offer fresh insights and strategies for navigating the complex survival dynamics in extranodal nasal NK/T lymphoma but also bolster technical support in this medical domain. This contributes to enhancing the accuracy of disease prognostics and equipping physicians with more targeted treatment options. | |||
TO cite this article:Wenke Lian,Yu Song,Dong Dong, et al. Optimized LightGBM-Based Survival Prediction Model for ENKTL[OL].[ 8 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762512 |
8. A 1.7 nJ 978 nm All-Polarization-Maintaining Ytterbium-Doped Mode-Locked Fiber Laser | |||
Wang Weijin,Zhou Yue,Zhou Xiangxiang | |||
Electrics, Communication and Autocontrol Technology 07 March 2024 | |||
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Abstract:We report a core-pumped all-polarization-maintaining (PM) passively mode-locked ytterbium-doped fiber laser operating at 978 nm. All fibers and elements used in this laser have normal dispersion at 978 nm. In this work, 10.7 MHz linear polarized, 1.7 nJ pulses that can be compressed to 234 fs at 978 nm are experimentally obtained. Compared to other all-PM 978 nm fiber lasers, its pulse energy is more than three times higher. Numerical simulations are performed to reveal the pulses\' temporal and spectral evolution inside the cavity. This robust femtosecond laser operating at 978 nm has great potential in biomedical imaging, material processing, and underwater communication.In this paper | |||
TO cite this article:Wang Weijin,Zhou Yue,Zhou Xiangxiang. A 1.7 nJ 978 nm All-Polarization-Maintaining Ytterbium-Doped Mode-Locked Fiber Laser[OL].[ 7 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762515 |
9. Research progress of cement radioactivity in China | |||
Wang Feng,Wu Chuncen,Zhang Xiuqin,Song Yifan,Geng Shang,Wu Zhong,Wang Guoqiang,Sun Yuan-nan | |||
Nuclear Science and Technology 06 March 2024 | |||
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Abstract:Cement, as one of the fundamental building materials, often incorporates industrial solid waste or byproducts as alternative raw materials. Some of these materials contains natural radioactivity at higher levels. Inadequate control of the quantity of these materials can potentially result in prolonged exposure to high levels of radioactivity, posing potential threats to health. This paper provides a comprehensive analysis of radioactivity in cement, including the influence of raw and auxiliary materials on cement radioactivity, release of radioactive nuclides during production, the assessment of radio-nuclide levels in various cement types, and the uncertainty related to radioactivity measurements. The main goal of this study is to begin monitoring natural radioactivity levels at the source of cement production and offer relevant production recommendations for the cement industry. Furthermore, it emphasizes the need for future research to focus on monitoring the natural radioactivity levels of various industrial byproducts used as alternative raw materials, while simultaneously enhancing relevant standards and regulations. This will contribute to ensuring environmental safety in cement production and mitigating potential health risks. | |||
TO cite this article:Wang Feng,Wu Chuncen,Zhang Xiuqin, et al. Research progress of cement radioactivity in China[OL].[ 6 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762394 |
10. Normalized bound state solutions for mass supcritical fractional Schr\"{o}dinger equation with potential | |||
BAO Xin,OU Zeng-Qi,LV Ying | |||
Mathematics 06 March 2024 | |||
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Abstract:In this paper, we study the following fractional Schr\"{o}dinger equation with prescribed mass\begin{equation*}\left\{\begin{aligned}&(-\Delta)^{s}u=\lambda u+a(x)|u|^{p-2}u,\quad\text{in $\mathbb{R}^{N}$},\\&\int_{\mathbb{R}^{N}}|u|^{2}dx=c^{2},\quad u\in H^{s}(\mathbb{R}^{N}),\end{aligned}\right.\end{equation*}where $0<s<1$, $N>2s$, $2+\frac{4s}{N}<p<2_{s}^{*}:=\frac{2N}{N-2s}$, $c>0$, $\lambda\in \mathbb{R}$ and $a(x)\in C^{1}(\mathbb{R}^{N},\mathbb{R}^{+})$ is a potential function. By using a minimax principle, we prove the existence of bounded state solution for the above problem under various conditions on $a(x)$. | |||
TO cite this article:BAO Xin,OU Zeng-Qi,LV Ying. Normalized bound state solutions for mass supcritical fractional Schr\"{o}dinger equation with potential[OL].[ 6 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762069 |
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