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Large circuit models: opportunities and challenges

Science China(Information Sciences) 2024年第10期67卷 25-66页

作者： Lei CHEN Yiqi CHEN Zhufei CHU Wenji FANG Tsung-Yi HO Ru HUANG Yu HUANG Sadaf KHAN Min LI Xingquan LI Yu LI Yun LIANG Jinwei LIU Yi LIU Yibo LIN Guojie LUO Hongyang PAN Zhengyuan SHI Guangyu SUN dimitrios tsaras Runsheng WANG Ziyi WANG Xinming WEI Zhiyao XIE Qiang XU Chenhao XUE Junchi YAN Jun YANG Bei YU Mingxuan YUAN Evangeline F.Y.YOUNG Xuan ZENG Haoyi ZHANG Zuodong ZHANG Yuxiang ZHAO Hui-Ling ZHEN Ziyang ZHENG Binwu ZHU Keren ZHU Sunan ZOU Huawei Noah’s Ark Lab School of Integrated Circuits Peking University Faculty of Electrical Engineering and Computer Science Ningbo University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University Huawei HiSilicon Peng Cheng Laboratory School of Computer Science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(RTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词： AI-rooted EDA large circuit models (LCMs) multimodal circuit representation learning circuit optimization

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Predictive roles of organizational and personal factors in work engagement among nurses

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Frontiers of Nursing 2022年第4期9卷 379-387页

作者： Charlie C.Falguera Leodoro J.Labrague Janet Alexis A.De Los Santos Carmen N.Firmo Konstantinos tsaras School of Health Sciences University of the Philippines ManilaLeyteManila 2801Philippines School of Nursing Loyola University ChicagoIllinois 60660United States College of Nursing Visayas State UniversityBaybayLeyte 6521APhilippines Department of Nursing Technological Educational Institute of ThessalyKarditsaThessaly 43100Greece

Objective:To determine the work engagement levels of hospital nurses and the predictive roles that nurses’personal and organizational characteristics ***:A cross-sectional design was employed in this study,which included 549 nurses working in the Central *** were selected through purposive sampling,and a self-repor t questionnaire outlining personal and organizational characteristics was *** Utrecht Work Engagement Scale(UWES)was applied to gather data about nurse ***:The dedication score was the highest among the three dimensions of engagement while the vigor score was the ***,Filipino nurses experienced an average level of work *** observed significant relationships between a nurse’s age,years of experience in nursing,years in their present unit,and their position at work and their levels of engagement,vigor,sense of dedication,and *** capacity was a negative predictor of vigor,dedication,absorption,and overall work *** ther,the type of nursing contract was a negative predictor of vigor and *** type of hospital and the nurse’s position were positive predictors of vigor,dedication,and ***:Filipino nurses were satisfactorily engaged at work.A number of nurses’personal and organizational characteristics play a predictive role in their work ***,nursing administrators must suppor t,develop,and implement activities and measures that engage nurses at work.

关键词： Filipino nurses nurse personal factors organizational factors work engagement work engagement predictors

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Organizational commitment and turnover intention among rural nurses in the Philippines: Implications for nursing management

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International Journal of Nursing Sciences 2018年第4期5卷 403-408页

作者： Leodoro J.Labrague Denise M.McEnroe-Petitte Konstantinos tsaras Jonas P.Cruz Paolo C.Colet Donna S.Gloe Sultan Qaboos University MuscatOman Kent State University Tuscarawas USA Technological Educational Institute of Thessaly LarissaGreece Shaqra University Saudi Arabia Nazarbayev University Kazakhstan Southwest Baptist University USA

Objectives:The unrelenting migration trend of Filipino nurses to other countries has threatened the quality of patient care services in the *** study explored the extent of nurses'organizational commitment and turnover intention in the ***,predictors of nurses'organizational commitment and turnover intention were ***:A cross-sectional research design was adopted for this *** hundred nurses from nine rural hospitals in the Central Philippines were asked to participate in the study and 166 nurses responded(an 83%response rate).Two standardized instruments were used:the Organizational Commitment Questionnaire and the Six-item Turnover Intention Inventory ***:Findings revealed that Philippine nurses were moderately committed(3.13±0.24)to and were undecided(2.42±0.67)whether or not to leave their ***'age(P=0.006),gender,(t=-2.25,P=0.026),education(t=2.38,P<0.001),rank(t=4.38,P<0.001),and work experience(t=2.18,P=0.031)correlated significantly with organizational commitment,while nurses'age(P=0.028)and education(t=1.99,P=0.048)correlated significantly with turnover *** inverse relationship was identified between the organizational commitment and turnover intention(r=-0.22,P=0.005).Conclusion:The findings of this study highlight the need for formulation and implementation of interventions to promote life-long commitment in nurses and to reduce turnover rates.

关键词： Hospitals Rural Nurses Organizational commitment Philippines Turnover intention

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Pain and Care： Interventions in Daily Nursing Practice

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Journal of Pharmacy and Pharmacology 2016年第11期4卷 611-617页

作者： Lambrini Kourkouta Areti Tsaloglidou Konstantinos tsaras Konstantinos KoukouFikos Christos F.Kleisiaris Evangelos C. Fradelos Ioanna V. Papathanasiou Nursing Department Alexander Technological Educational Institute of Thessaloniki Thessaloniki 57400 Greece Nursing Department Technological Educational Institute of Thessaly Larissa 41110 Greece Nursing Department Technological Educational Institute of Crete Heraklion 71500 Greece State Mental Hospital of Attica "Daphne " Athens 12462 Greece

Pain is a common symptom in humans, which differs significantly depending on their status of health. This review lists the specific features of pain that are necessary for its evaluation and treatment by the health professionals. Extensive review of the recent literature was conducted in electronic databases （PubMed, Medline and Iatrotek） and scientific journals in Greek and English. Pain is perceived as any uncomfortable feeling, and emotional experience that occurs anywhere in the body when there is some kind of injury. The assessment of pain in humans is a complex and demanding process. Pain should be treated early with appropriate pharmaceutical or other treatment. Each pain has a different cause and treatment. The objective of health professionals＇ interventions is to cure or at least reduce pain and to relieve those who are in pain.

关键词： Pain nursing care nursing interventions nursing practice.

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Predictive roles of organizational and personal factors in work engagement among nurses

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Frontiers of nursing 2022年第4期

作者： Charlie C.Falguera Leodoro J.Labrague Janet Alexis A.De Los Santos Carmen N.Firmo Konstantinos tsaras

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