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Nutritional Assessment Tools for Patients with Cancer:A Narrative Review

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Current Medical Science 2024年第1期44卷 71-80页

作者： peng-peng wang Kim Lam Soh Huzwah binti Khazaai Chuan-yi NING Xue-ling HUANG Jia-xiang YU Jin-lian LIAO Faculty of Medicine and Health Sciences Universiti Putra MalaysiaSerdang 43400Malaysia NursingCollege of Guangxi Medical University Nanning 530021China Department of Biomedical Sciences Universiti Putra MalaysiaSerdang 43400Malaysia Department of Nursing The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021China

Cancer patients are at high risk of malnutrition,which can lead to adverse health outcomes such as prolonged hospitalization,increased complications,and increased *** and timely nutritional assessment plays a critical role in effectively managing malnutrition in these ***,while many tools exist to assess malnutrition,there is no universally accepted *** different tools have their own strengths and limitations,there is a lack of narrative reviews on nutritional assessment tools for cancer *** address this knowledge gap,we conducted a non-systematic literature search using PubMed,Embase,Web of Science,and the Cochrane Library from their inception until May 2023.A total of 90 studies met our selection criteria and were included in our narrative *** evaluated the applications,strengths,and limitations of 4 commonly used nutritional assessment tools for cancer patients:the Subjective Global Assessment(SGA),Patient-Generated Subjective Global Assessment(PG-SGA),Mini Nutritional Assessment(MNA),and Global Leadership Initiative on Malnutrition(GLIM).Our findings revealed that malnutrition was associated with adverse health *** of these 4 tools has its applications,strengths,and *** findings provide medical staff with a foundation for choosing the optimal tool to rapidly and accurately assess malnutrition in cancer *** is essential for medical staff to be familiar with these common tools to ensure effective nutritional management of cancer patients.

关键词： cancer malnutrition nutrition nutritional assessment tool

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手性稀土纳米材料的圆偏振发光研究进展

中国科学：化学 2024年第8期54卷 1178-1193页

作者：陈玉婷董胜贺王鹏鹏金属材料强度国家重点实验室陕西省软物质国际联合研究中心西安交通大学材料科学与工程学院西安710049

圆偏振发光(CPL)是手性材料受到激发后发射出具有差异的左旋或右旋圆偏振光的独特光学现象,可以应用于量子计算、信息加密和三维显示等领域.随着纳米科学和技术的发展,具有CPL性能的手性稀土纳米材料因其出色的光学稳定性等特点而备受关... 详细信息

圆偏振发光(CPL)是手性材料受到激发后发射出具有差异的左旋或右旋圆偏振光的独特光学现象,可以应用于量子计算、信息加密和三维显示等领域.随着纳米科学和技术的发展,具有CPL性能的手性稀土纳米材料因其出色的光学稳定性等特点而备受关注,并具有大的应用潜力.本文综述了手性稀土纳米材料的最新研究进展,首先介绍了稀土元素的光谱特性及早期手性稀土配合物的研究,详述了如何构筑具有CPL的手性稀土纳米材料,强调了合成过程中手性结构对发光性能的调控特点,并通过主-客体策略讨论了如何通过稀土发光客体与手性主体的选择来优化CPL性能.最后,探讨了CPL稀土纳米材料领域面临的挑战,如发光性能和手性控制等问题,并对手性稀土纳米材料在未来的应用前景进行了展望.

关键词：手性圆偏振发光手性稀土纳米材料主-客体策略

Design and implementation of accelerator control monitoring system

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Nuclear Science and Techniques 2023年第4期34卷 102-114页

作者： Chao Yuan Wei Zhang Tao Ma Min Yue peng-peng wang Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China

IMPCAS has constructed and currently manages a large number of accelerator facilities. However, the current accelerator monitoring methods are unable to satisfy all of the device requirements. The accelerator control monitoring system(ACMS) was created and established to provide an efficient and accurate accelerator control monitoring system. It enables automatic alerting of problems with accelerator control systems and infrastructure. It utilizes a big data distributed stream processing engine and open-source monitoring tools. Metrics, logs, and EPICS PV values are the major three types of data that it monitors. Prometheus is primarily used to monitor metrics such as network traffic, hardware devices, and software operations. Graylog is used to monitor logs created by various applications and systems. We also created the EPICS Pulsar connector software, which allows us to transfer PV values to the Pulsar messaging cluster and use the Flink compute engine for real-time monitoring. The designed data management module allows users to define alert rules in a variety of ways. The ACMS enables the separation of the Flink business system and alarm rules. Users may use the data management module to add or alter alarm rules in real-time without having to restart the alarm software. This reduces the effect of alarm flooding when the accelerator reaches the beam shifting or shutdown condition and dramatically enhances alarm efficiency. The main components of the ACMS may be deployed in clusters, making it extremely versatile. Experimental results demonstrated that it has a higher throughput than the Phoebus Alarm system and can handle millions of monitoring indicators. The ACMS employs a modular framework that is very scalable. Long-term stability analyses were performed at the SESRI and HIRFL facilities. It achieved all of the intended goals and could greatly improve the accident handling efficiency while minimizing the failure time of the accelerator control system.

关键词： EPICS ACMS Pulsar Flink Graylog Prometheus

Chiral inorganic nanomaterials:Harnessing chirality-dependent interactions with living entities for biomedical applications

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Nano Research 2023年第8期16卷 11107-11124页

作者： Qi Gao Lili Tan Zhihao Wen Daidi Fan Junfeng Hui peng-peng wang Shaanxi Key Laboratory of Degradable Biomedical Materials Shaanxi R&D Center of Biomaterials and Fermentation EngineeringSchool of Chemical EngineeringNorthwest UniversityXi’an 710069China State Key Laboratory for Mechanical Behavior of Materials Shaanxi International Research Center for Soft MatterSchool of Materials Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China

Chirality is an intriguing and fundamental property of natural matter,which is especially crucial in supporting the processes of living *** selective interactions between natural chiral compounds are widespread at all levels in living entities and play a vital role in biochemical *** cutting-edge advancements in synthetic chiral inorganic nanostructures have led to significant progress in their applications within biological *** developments have unraveled chirality-dependent interactions at the nanoscale and molecular scale,providing a better understanding of intricate process of chiral selection in biological systems and demonstrating the potential of chiral inorganic nanostructures for life science ***,we summarize recent progress in understanding the chirality origin of inorganic chiral nanoparticles and the development of wet-chemical *** also discuss the captivating interaction between chiral inorganic nanostructures and biological entities at various ***,we discuss the challenges and potential of functional chiral nanomaterials for future biomedical and bioengineering applications,offering design ideas and a forecast for their future impact.

关键词： chiral inorganic nanomaterials living system chirality-dependent interaction bioengineering application

Two-Stage Online Debiased Lasso Estimation and Inference for High-Dimensional Quantile Regression with Streaming Data

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Journal of Systems Science & Complexity 2024年第3期37卷 1251-1270页

作者： peng Yanjin wang Lei School of Statistics and Data Science KLMDASRLEBPS and LPMCNankai UniversityTianjin 300071China

In this paper,the authors propose a two-stage online debiased lasso estimation and statistical inference method for high-dimensional quantile regression(QR)models in the presence of streaming *** the first stage,the authors modify the QR score function based on kernel smoothing and obtain the online lasso smoothed QR estimator through iterative *** estimation process only involves the current data batch and specific historical summary statistics,which perfectly accommodates to the special structure of streaming *** the second stage,an online debiasing procedure is carried out to eliminate biases caused by the lasso penalty as well as the accumulative approximation error so that the asymptotic normality of the resulting estimator can be *** authors conduct extensive numerical experiments to evaluate the performance of the proposed *** experiments demonstrate the effectiveness of the proposed method and support the theoretical *** application to the Beijing PM2.5 Dataset is also presented.

关键词： Adaptive tuning asymptotic normality debiased lasso online updating quantile regres-sion

Accelerated water harvesting from vapor via a bio-inspired hydrogel pattern

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National Science Review 2024年第3期11卷 48-49页

作者： Lianbin Zhang peng wang State Key Laboratory of Material Processing and Die&Mould Technology Key Laboratory of Materials Chemistry for Energy Conversion and Storage of Ministry of Education School of Chemistry and Chemical Engineering Huazhong University of Science and Technology(HUST) School of Environmental Science and Engineering Sun Yat-sen University

Water and energy sustainability are integral parts of resource sustainability of the world. Due to water molecules' superior capability of serving as both hydrogenbond donor and acceptor, phase change of water, especially between liquid and vapor, underpins global water cycles,facilitates energy transformation and transfer, and thus helps shape the unique local weather and global climate patterns.

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Hydrogen Storage Performances of Nanocrystalline and Amorphous NdMg11Ni+x wt% Ni （x=100, 200） Alloys Synthesized by Mechanical Milling

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Acta Metallurgica Sinica(English Letters) 2019年第9期32卷 1089-1098页

作者： Yang-Huan Zhang Kai-Feng Zhang Ze-Ming Yuan peng-peng wang Ying Cai Wen-Gang Bu Yan Qi Key Laboratory of Integrated Exploitation of Baiyun Obo Multi-Metal Resources Inner Mongolia University of Science and TechnologyBaotou 014010China Department of Functional Material Research Central Iron and Steel Research InstituteBeijing 100081China

Nanocrystalline and amorphous NdMg12-type NdMg11Ni+x wt%Ni(x=100,200)alloys were successfully prepared through ball milling(BM).The microstructures and electrochemical properties were systematically studied to get a more comprehensive understanding of the sample *** maximum discharging capacity could be obtained at only two cycles,indicating that as-milled alloys have superior activation *** more the Ni content,the better the electrochemical properties of the as-milled *** be specific,the discharge capacities of x=100 and x=200(BM 20 h)samples are 128.2 and 1030.6 mAh/g at 60 mAh/g current density,respectively,revealing that enhancement of Ni content could significantly improve the discharging capacities of the ***,milling duration obviously influences the electrochemical properties of the *** discharging capacity always rises with milling duration prolonging for the x=100 sample,but that of the(x=200)sample shows a trend of first augment and then *** cycling stability of the(x=100)alloy clearly decreases with extending milling duration,whereas that of the(x=200)alloy first declines and then augments under the same *** addition,the high rate discharge(HRD)abilities of the sample display the maximal values as milling duration *** HRD(HRD=C300/C60×100%)values of the as-milled alloys(x=100,200)are 80.24%and 85.17%,respectively.

关键词： NdMg12 alloy Mechanical milling Electrochemical hydrogen storage performance Dynamic characteristics Activation energy

Brain-inspired chaotic spiking backpropagation

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National Science Review 2024年第6期11卷 169-179页

作者： Zijian wang peng Tao Luonan Chen Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of Sciences Key Laboratory of Systems Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Guangdong Institute of Intelligence Science and Technology Pazhou Laboratory(Huangpu)

Spiking neural networks(SNNs) have superior energy efficiency due to their spiking signal transmission,which mimics biological nervous systems, but they are difficult to train effectively. Although surrogate gradient-based methods offer a workable solution, trained SNNs frequently fall into local minima because they are still primarily based on gradient dynamics. Inspired by the chaotic dynamics in animal brain learning, we propose a chaotic spiking backpropagation(CSBP) method that introduces a loss function to generate brain-like chaotic dynamics and further takes advantage of the ergodic and pseudo-random nature to make SNN learning effective and robust. From a computational viewpoint, we found that CSBP significantly outperforms current state-of-the-art methods on both neuromorphic data sets(***-CIFAR10 and DVS-Gesture) and large-scale static data sets(e.g. CIFAR100 and Image Net) in terms of accuracy and robustness. From a theoretical viewpoint, we show that the learning process of CSBP is initially chaotic, then subject to various bifurcations and eventually converges to gradient dynamics,consistently with the observation of animal brain activity. Our work provides a superior core tool for direct SNN training and offers new insights into understanding the learning process of a biological brain.

关键词： spiking neural networks surrogate gradient local minima backpropagation brain-inspired learning chaos

Some Rotundities of Orlicz–Lorentz Spaces

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Acta Mathematica Sinica,English Series 2024年第8期40卷 1893-1919页

作者： Wan Zhong GONG peng wang Department of Mathematics Anhui Normal UniversityWuhu 241000P.R.China

K-UR,K-LUR and K-R are the generalizations of UR,LUR and R respectively,which are of great significance in Banach space *** in Orlicz–Lorentz function spaceΛ_(ϕ,ω)^(◦)[0,γ)equipped with the Orlicz norm,the research methods of K-UR,K-LUR and K-R are much more complicated than those of UR,LUR and *** this paper we obtain some criteria of K-UR,K-LUR and K-R ofΛ_(ϕ,ω)^(◦)[0,γ)by means of the norm of dual space and H_(μ)property ofΛ_(ϕ,ω)^(◦)[0,γ).

关键词： Orlicz-Lorentz space Orlicz norm k-uniform rotundity locally k-uniform rotundity krotundity