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An Ui Design Optimization Strategy for General App in Big Data Environment

Journal of quantum Computing 2019年第2期1卷 65-80页

作者： Hangjun Zhou Jieyu Zhou Guang Sun Wangdong Jiang Chuntian Luo Xiaoping Fan Haowen Zhang Haoran Zhang School of information Technology and Management Hunan University of Finance and EconomicsChangsha410000China The University of Alabama TuscaloosaAlabamaUSA Institute of Big Data Hunan University of Finance and EconomicsChangsha410000China

Due to the huge amount of increasing data, the requirements of people forelectronic products such as mobile phones, tablets, and notebooks are constantlyimproving. The development and design of various software applications attach greatimportance to users’ experiences. The rationalized UI design should allow a user not onlyenjoy the visual design experience of the new product but also operating it morepleasingly. This process is to enhance the attractiveness and performance of the newproduct and thus to promote the active usage and consuming conduct of users. In thispaper, an UI design optimization strategy for general APP in the big data environment isproposed to get better user experience while effectively obtaining information. Anexperimental example of a library APP is designed to optimize the user experience. Theexperimental results show that the user-centered UI design is the core of optimization,and user portrait based on big data platforms is the key to UI design.

关键词： UI design big data general APP user portrait

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Online News Sentiment Classification Using DistilBERT

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Journal of quantum Computing 2022年第1期4卷 1-11页

作者： Samuel Kofi Akpatsa Hang Lei Xiaoyu Li Victor-Hillary Kofi Setornyo Obeng Ezekiel Mensah Martey Prince Clement Addo Duncan Dodzi Fiawoo School of information and Software Engineering University of Electronic Science and Technology of ChinaChengduChina Faculty of Applied Sciences and Mathematical Education Akenten Appiah-Menka University of Skills Training and Entrepreneurial DevelopmentKumasiGhana Jasikan College of Education University of Cape CoastJasikanGhana

The ability of pre-trained BERT model to achieve outstanding performances on many Natural Language Processing(NLP)tasks has attracted the attention of researchers in recent ***,the huge computational and memory requirements have hampered its widespread deployment on devices with limited *** concept of knowledge distillation has shown to produce smaller and faster distilled models with less trainable parameters and intended for resource-constrained *** distilled models can be fine-tuned with great performance on a wider range of tasks,such as sentiment *** paper evaluates the performance of DistilBERT model and other pre-canned text classifiers on a Covid-19 online news binary classification *** analysis shows that despite having fewer trainable parameters than the BERT-based model,the DistilBERT model achieved an accuracy of 0.94 on the validation set after only two training *** paper also highlights the usefulness of the ktrain library in facilitating the building,training,and application of state-of-the-art Machine Learning and Deep Learning models.

关键词： Natural language processing DistilBERT text classification sentiment analysis

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Study on mechanism and molecular docking verification of Angelicae Sinensis Radix and Astragali Radix in treating ischemic stroke

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TMR Modern Herbal Medicine 2023年第2期6卷 9-17页

作者： Da-Yuan Zhong Hui Cheng Hong-Sheng Luo Yi-Hui Deng Huan-Jie Li De-Liang Liu Xue-Ming Ou Ping-Wen Liu Jia-Rong Li Xiang-Bo Kong Jia-Qi Chen Department of Neurosurgery Nanhai Hospital of Traditional Chinese and Western MedicineJinan UniversityFoshan 528200China Institute of Traditional Chinese Medicine Jinan UniversityGuangzhou 510632China Guangdong provincial Hospital of Integrated Traditional Chinese and Western Medicine Guangzhou University of Chinese MedicineGuangzhou 510006China College of Integrative Medicine Hunan University of Chinese MedicineChangsha 410208China Preventive Treating Disease Center Foshan Hospital of Traditional Chinese MedicineFoshan 528099China.

Background:Traditional Chinese medicine(TCM)has been shown to be effective in treating ischemic stroke(IS),and the combination of Angelicae Sinensis Radix(ASR)and Astragali Radix(AR)is a core TCM prescription that is widely acknowledged for its efficacy in IS *** study utilized network pharmacology methods to explore the molecular mechanisms underlying the therapeutic effects of Angelicae Sinensis Radix and Astragali Radix in IS treatment,with preliminary validation conducted through molecular ***:information on the structure,targets,main biological functions,and pathways of the active components in Angelicae Sinensis Radix and Astragali Radix was collected using databases such as PubChem,PharmMapper,UniProt,and *** results were visualized using software such as Cytoscape 3.6.1,Ledock,and ***:We retrieved 20 active components and 149 targets associated with the compatibility of Angelicae Sinensis Radix and Astragali Radix from various databases,and GeneCards database was used to search 3350 IS-related gene targets,including 78 key targets of Angelicae Sinensis Radix and Astragali Radix for the treatment of *** analysis of these 78 targets using gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)revealed the involvement of 48 GO terms in the treatment of IS,mainly in biological processes such as metabolism,biological regulation,and stress *** composition of biological devices such as supercavitary membrane,cell fluid,and extracellular space was also *** biological functions mainly included protein binding,ion binding,hydrolytic enzyme activity,and *** identified pathways were estrogen signaling pathway,mitogen-activated protein kinase(MAPK)signaling pathway,PI3K-AKT signaling pathway,RAP1 signaling pathway,P53 signaling pathway,PPAR signaling pathway,FOXO signaling pathway,RAS signaling pathway,prolactin signaling pathway,HIF-1 signaling pathway,and TNF signaling ***

关键词： Angelicae Sinensis Radix Astragali Radix ischemic stroke network pharmacology molecular docking

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Integrated silicon ohotonic MEMS

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Microsystems & Nanoengineering 2023年第2期9卷 227-248页

作者： Niels Quack Alain Yuji Takabayashi Hamed Sttari Pieirre Edinger Gaehun Jo Simon JBleker Carlos Errando-Herranz Kristinn BGylfason Frank Niklaus Umar Khan Peter Verheyen Arun Kumar Malik Jun Su Lee Moises Jezzini Padraic Morrissey Cleitus Antony Peter O'Brien Wim Bogaertso Ecole Polytechnique Federale de Lausanne(EPFL) 1015 LausanneSwitzerland school of Aerospace Mechanical and Mechatronic EngineeringThe University of SydneyCamperdownNSW 2006Australia swiss Center for Electronics and Microtechnology(CSEM) 2002 NeuchatelSwitzerland Division of Micro and Nanosystems KTH Royal Institute of Technology11428 StockholmSweden Department of information Technology Photonics Research GroupGhent University-IMECTechnologiepark-Zwijnaarde 1269052 GentBelgium imec vzw.3DSIP Department Si Photonics GroupKapeldreef 753001 LeuvenBelgium Tyndall National Institute Lee Maltings Complex Dyke ParadeCork T12 R5CPIreland

Silicon photonics has emerged as a mature technology that is expected to play a key role in critical emerging applications,including very high data rate optical communications,distance sensing for autonomous vehicles,photonic-accelerated computing,and quantum information *** success of silicon photonics has been enabled by the unique combination of performance,high yield,and high-volume capacity that can only be achieved by standardizing manufacturing ***,standardized silicon photonics technology platforms implemented by foundries provide access to optimized library components,including low-loss optical routing,fast modulation,continuous tuning,high-speed germanium photodiodes,and high-effciency optical and electrical ***,silicon's relatively weak electro-optic effects result in modulators with a significant footprint and thermo-optic tuning devices that require high power consumption,which are substantial impediments for very large-scale integration in silicon *** systems(MEMS)technology can enhance silicon photonics with building blocks that are compact,low-loss,broadband,fast and require very low power ***,we introduce a silicon photonic MEMS platform consisting of high-performance nano-opto-electromechanical devices fully integrated alongside standard silicon photonics foundry components,with wafer-level sealing for long-term reliability,flip-chip bonding to redistribution interposers,and fibre-array attachment for high port count optical and electrical *** experimental demonstration of fundamental silicon photonic MEMS circuit elements,including power couplers,phase shifters and wavelength-division multiplexing devices using standardized technology lifts previous impediments to enable scaling to very large photonic integrated circuits for applications in telecommunications,neuromorphic computing,sensing,programmable photonics,and quantum computing.

关键词： tuning sealing photonics

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