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Long-range enhancement for fluorescence and Raman spectroscopy using Ag nanoislands protected with column-structured silica overlayer

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Light(Science & Applications) 2024年第12期13卷 3158-3170页

作者： Takeo Minamikawa Reiko Sakaguchi Yoshinori Harada Hiroki Tanioka Sota Inoue Hideharu Hase Yasuo Mori Tetsuro Takamatsu Yu Yamasaki Yukihiro Morimoto Masahiro Kawasaki Mitsuo Kawasaki Department of Systems Innovation Graduate School of Engineering ScienceOsaka UniversityOsaka 560-8531Japan Division of Interdisciplinary Researches for Medicine and Photonics Institute of Post-LED PhotonicsTokushima UniversityTokushima 770-8506Japan Department of Pathology and Cell Regulation Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyoto 602-8566Japan PRESTO Japan Science and Technology Agency(JST)Tokushima 770-8506Japan Institute for Integrated Cell-Material Sciences(iCeMS) Kyoto UniversityKyoto 606-8501Japan Department of Synthetic Chemistry and Biological Chemistry Graduate School of EngineeringKyoto UniversityKyoto 615-8510Japan Department of Medical Photonics Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyoto 602-8566Japan Technology and Engineering Division Ushio Inc.Hyogo 671-0224Japan The Institute of Science and Industrial Research Osaka UniversityOsaka 567-0047Japan Department of Molecular Engineering Graduate School of EngineeringKyoto UniversityKyoto 615-8510Japan

We demonstrate long-range enhancement of fluorescence and Raman scattering using a dense random array of Ag nanoislands(AgNIs)coated with column-structured silica(CSS)overlayer of over 100 nm thickness,namely,remote plasmonic-like enhancement(RPE).The CSS layer provides physical and chemical protection,reducing the impact between analyte molecules and metal *** plates are fabricated with high productivity using sputtering and chemical immersion in gold(I)/halide *** RPE plate significantly enhances Raman scattering and fluorescence,even without proximity between analyte molecules and metal *** maximum enhancement factors are 10^(7)-fold for Raman scattering and 102-fold for *** is successfully applied to enhance fluorescence biosensing of intracellular signalling dynamics in HeLa cells and Raman histological imaging of oesophagus *** findings present an interesting deviation from the conventional near-field enhancement theory,as they cannot be readily explained within its ***,based on the phenomenological aspects we have demonstrated,the observed enhancement is likely associated with the remote resonant coupling between the localised surface plasmon of AgNIs and the molecular transition dipole of the analyte,facilitated through the CSS *** further investigation is warranted to fully understand the underlying mechanisms,the RPE plate offers practical advantages,such as high productivity and biocompatibility,making it a valuable tool for biosensing and biomolecular analysis in chemistry,biology,and *** anticipate that RPE will advance as a versatile analytical tool for enhanced biosensing using Raman and fluorescence analysis in various biological contexts.

关键词： structure silica protected

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Minimizing the Number of Stunting Prevalence Using the Euclid Algorithm Clustering Approach 7

Minimizing the Number of Stunting Prevalence Using the Eucli...

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7th IEEE International Conference of Computer Science and Information Technology, ICOSNIKOM 2023

作者： Zarlis, Muhammad Oktavia, Tanty Buaton, Relita Ernawan, Ferda Andrian, Kevin Bina Nusantara University Information System Management Department BINUS Graduate Program - Master of Information System Management Jakarta11480 Indonesia STMIK Kaputama Informatics Engineering Binjai20714 Indonesia Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Pekan26600 Malaysia BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Department of Information Systems Management Jakarta Indonesia

ISBN: (纸本)9798350360752

Superior and quality human resources are based on healthy human resources with indicators of adequate nutritional intake according to age development. However, the world still faces the problem of hunger and malnutrition today. According to a UNICEF report, the number of people suffering from malnutrition in the world will reach 767.9 million people in 2021. The World Health Organization (WHO) said that malnutrition is a dangerous threat to the health of the world's population. Stunting also has an impact in Indonesia, the prevalence of toddlers experiencing stunting in Indonesia is 24.4% in 2021. The solution created is to classify and cluster the prevalence of stunting to produce a pattern that can be used as best practice to be transmitted to other affected areas. The algorithm used is Euclid. The Euclid algorithm can cluster stunting prevalence data into 4 clusters with the very little category at 79%, the little category at 67%, the many categories at 51%, and the very much category at 21%. The results of the classification and clustering of the best stunting prevalence in cluster one with a very small number, can be used as a source of accurate and updated information that can be used by the government in its efforts to optimize stunting handling in each district/city based on artificial intelligence which can provide handling and optimization patterns. stunting in every district/city. © 2023 IEEE.

关键词： Classification (of information)

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Development of Trans-nail PPG Controller Using Fingertip Blood Volume Changes to Enable Highly Accurate Motion Prediction

Development of Trans-nail PPG Controller Using Fingertip Blo...

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2023 IEEE Biomedical Circuits and systems Conference, BioCAS 2023

作者： Nakamura, Kohei Du, Bang Sugishita, Keishun Hasegawa, Ryo Kino, Hisashi Fukushima, Takafumi Kiyoyama, Koji Tanaka, Tetsu Nagasaki Institute of Applied Science Graduate School of Engineering Nagasaki851-0193 Japan Tohoku University Graduate School of Engineering Department of Mechanical Systems Engineering Sendai980-8579 Japan Tohoku University Graduate School of Biomedical Engineering Sendai980-8579 Japan

ISBN: (纸本)9798350300260

The widespread adoption of Virtual Reality (VR)/Augmented Reality (AR) has increased the demand for versatile controllers for VR/AR. Most conventional controllers for VR/AR have issues with a lack of immersive sensation, comfort, and stability. This study proposes a trans-nail PPG (photoplethysmography) controller using fingertip blood volume changes to enable accurate motion prediction. This controller utilizes the fact that the mainly DC component of the PPG signal varies with the state and movement of the hand and fingers. Based on reservoir computing, this controller also learns the PPG signals under various conditions and predicts the state and movement of the hand and fingers. Since this controller is attached to the fingernail, it does not compromise immersion, comfort, or stability. Three PPG sensor circuits in the trans-nail PPG sensor were designed, prototyped, and assembled with an LED on a nail-sized PCB. The output signals of the PPG sensor for various motions such as thumb raising and lowering, wrist raising and lowering, and wrist twisting were used for the learning and predictions of reservoir computing. As a result, the motion predictions with accuracies of over 90% were achieved successfully. © 2023 IEEE.

关键词： AR augmented reality controller photoplethysmography PPG reservoir computing trans-nail virtual Reality VR

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Portfolio Selection Using Mean Variance Theory Based on the 30-year Historical Returns of Selected Subsectors of the Philippine Industrial Sector

Portfolio Selection Using Mean Variance Theory Based on the ...

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2024 IEEE International Conference on Industrial engineering and engineering management, IEEM 2024

作者： Yamanaka, A.D. Young, M.N. Chuahay, T.N. Pratseyo, Y. Persada, S. Nadlifatin, R. School of Graduate Studies Mapua University Manila Philippines School of Industrial Engineering and Engineering Management Mapua University Manila Philippines Department of Finance Chung Yuan University Taoyuan City Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan City Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan City Taiwan Entrepreneurship Business Creation Business School Binus University West Jakarta Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9798350386097

Portfolio selection is an important part of investment management that aims to select the right combination of assets to achieve an optimal risk-return ratio. This study integrates the Mean-Variance Theory utilizing the 30-year historical returns of the Philippine Stock Exchange. Three subsectors of the Industrial Sector were used as the investment pool. The back-test results showed that the Mean-Variance portfolios of selected subsectors can outperform the industrial sector and not the market. Stakeholders must be cautious when investing in these three subsectors, considering the values obtained from the simulations. There are recommended portfolio selections wherein companies have a specific allocation that investors and financial managers can use whenever they decide to invest in these subsectors. Overall, this study offers a framework for investors to use as a guide in diversifying their stakes in the Philippine Stock Exchange. © 2024 IEEE.

关键词： Decentralized finance

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Control engineering investigation of the effects of proliferative diabetic retinopathy on the crystalline lens and ciliary muscle dynamic behavior

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Research on Biomedical engineering 2023年第3期39卷 663-676页

作者： Oliveira, Rebeca Hannah de M. Silva, Mayla dos S. Nunes, Gustavo A. M. A. Faria, Rafael Mendes Santos, Kleriston Silva Rosa, Leandro L. F. Rosa, Mário F. F. Rosa, Suélia de S. R. F. Department of Biomedical Engineering Johns Hopkins University School of Medicine BaltimoreMD United States Postgraduate Program in Mechatronic Systems University of Brasília DF Brasilia Brazil Optometry Clinic GO Goiânia Brazil Biomedical Engineering Graduate Program University of Brasília DF Brasilia Brazil University of Brasilia – UnB DF Brasilia Brazil

Purpose: Proliferative diabetic retinopathy (PDR) affects more than 100 million adults worldwide and is one of the primary diseases leading to blindness and affecting the eye’s retina. Few papers mention its impact on the anterior segment of the eye. Methods: We present a novel bond graph model of the human eye calibrated with data from the literature to simulate the effects of retinopathy on lens behavior. Through mathematical representation in state space and transfer functions, we simulate the dynamic responses of the physiological and pathological systems. Results: The dynamic response to impulse inputs shows a distinct peak amplitude (0.01 difference) and transient time (0.0001 s) for PDR and Healthy systems at Region B (lens and ciliary muscle). Qualitative increase in ocular vasculature aggravation attenuates PDR dynamic response to unitary step input compared to Healthy (50% decay at 20 days of simulation) at Region B. Conclusions: The model suggests the potential impact of PDR on ciliary muscle behavior, which can have a clinical translation on diagnosis, follow-up, and treatment of the disease. It can be used for future studies on the effects of retinopathy on different ocular regions. © 2023, The Author(s), under exclusive licence to The Brazilian Society of Biomedical engineering.

关键词： Eye protection

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Volt-Var Control for Utility-scale Solar PV Plants to Replace SVCs 4

Volt-Var Control for Utility-scale Solar PV Plants to Replac...

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4th International Conference on High Voltage engineering and Power systems, ICHVEPS 2023

作者： Shimomukai, Ken Maeda, Haruka Fujita, Goro Shibaura Institute of Technology Functional Control Systems Graduate School of Engineering and Science Tokyo Japan Shibaura Institute of Technology Graduate School of Engineering and Science Department of Electrical Engineering and Computer Science Tokyo Japan Shibaura Institute of Technology Department of Electrical Engineering Tokyo Japan

ISBN: (纸本)9798350318678

One way to increase solar photovoltaic penetration in the grid is management of voltage fluctuations. This is because a photovoltaic plant cannot be interconnected to the grid if it causes voltage violations. Voltage violation is where voltage exceeds the acceptable range. Often, grid operators request photovoltaic plant owners to regulate voltage sufficiently with expensive and space-consuming static Var compensators. Unfortunately, this sometimes makes the project less feasible. This paper argues that there are better ways to regulate voltage. We ran a simulation with a 70 MWp photovoltaic plant as an addition to the grid. Without voltage regulation, voltage violations were found to be significant. This paper found that oversizing the inverter sufficiently would remove all voltage violations without deploying a static Var compensator. This is often a cheaper and space-saving solution for voltage management. This paper argues that economics and spatial efficiency of reactive power compensation devices is key to increasing photovoltaic penetration. © 2023 IEEE.

关键词： Reactive power

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OPTIMIZING HYPERPARAMETERS OF RANDOM FOREST MODEL FOR TRAFFIC INCIDENT DETECTION 50

OPTIMIZING HYPERPARAMETERS OF RANDOM FOREST MODEL FOR TRAFFI...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Elsahly, O. Abdelfatah, A. Alshraideh, H. Engineering Systems Management PhD Program American University of Sharjah Sharjah United Arab Emirates Department of Civil Engineering American University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

Traffic incidents are non-recurring events that disrupt normal traffic flow and can have negative impacts on traffic operations, safety, and economy. As a result, there is a growing need for developing effective and reliable Automatic Incident Detection (AID) systems to detect incidents as early as possible to minimize their impacts. Machine Learning models, such as Neural Networks and Random Forests, have been utilized to develop AID models. However, the performance of machine learning models is significantly determined by its hyperparameters that need to be tuned to improve its performance in detecting incidents accurately and quickly. In this study, incident and normal traffic scenarios were generated using traffic simulator data, which is used to train and test a Random Forest incident detection model. The proposed methodology uses VISSIM microsimulation software to generate a diverse dataset of incident and normal conditions scenarios. Traffic parameters such as flow rate, speed, and occupancy at upstream and downstream stations were used as input variables for the model. The Random Forest model was trained and tested through RapidMiner software with 5-fold cross validation. Model performance was enhanced through the model hyperparameters tunning. An improvement of 0.35% in the F-score and 0.15% in the overall accuracy was achieved compared to the default model parameters. Findings of this study suggest that the tunning of hyperparameters of Random Forest models is crucial for developing accurate AID systems. The proposed methodology and optimized hyperparameter values provided by this study can be used as a guideline for developing Random Forest models for incident detection in transportation systems. Overall, this study contributes to the development of accurate and efficient traffic incident detection systems, which could help to mitigate the negative impacts of traffic incidents and improve transportation operations, safety, and economy. © 2023 Computers an

关键词： Software testing

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Stunting Classification in Toddlers: Implementation and Evaluation of the Decision Tree Algorithm

Stunting Classification in Toddlers: Implementation and Eval...

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2024 International Conference on Information Technology and Computing, ICITCOM 2024

作者： Alita, Debby Ahmad, Imam Jafar Rumandan, Rhaishudin Erkamim, Moh Widyasmoro Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia Institut Agama Islam Negeri Ambon Islamic Education Management Study Program Ambon Indonesia Universitas Tunas Pembangunan Smart City Information Systems Study Program Surakarta Indonesia Universitas Muhammadiyah Yogyakarta Faculty of Engineering Department of Electrical Engineering Yogyakarta Indonesia

ISBN: (纸本)9798350379839

Stunting in toddlers is a chronic nutritional issue that affects the physical and cognitive development of children, with serious long-term consequences such as reduced cognitive function and an increased risk of chronic diseases in adulthood. Therefore, early identification and prevention efforts for stunting are crucial. Classifying toddlers into categories of at-risk for stunting or not is essential to provide timely and appropriate interventions. This study employs data mining techniques using the decision tree algorithm to expedite the stunting detection process and improve the accuracy of nutritional status classification in children. The results indicate that the constructed decision tree model can classify children's nutritional status with an accuracy of 83.26%. The decision tree achieves high accuracy in classifying stunting in toddlers due to its ability to handle complex data and identify significant patterns within the data. © 2024 IEEE.

关键词： Classification Data Mining Decision Tree Stunting

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Social Radars: Finding Targets in Cyberspace for Cybersecurity

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 279-282页

作者： Lili Fan Changxian Zeng Yutong Wang Jiaqi Ma Fei-Yue Wang School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Science Dalian Minzu UniversityDalian 116600China State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Department of Civil and Environmental Engineering University of CaliforniaLos AngelesCA 90024 USA IEEE State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China

INSPIRED by the insight from American political scientist Lasswell, who summarized the environmental role in societal surveillance [1], Schramm coined the term “social radar” [2] as it resembles the activities of radar in collecting and processing information, playing a crucial role in helping humans perceive changes in the internal and external environment and promptly adjusting adaptive behaviors.

关键词： prompt summarized insight

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The Influence of Significant Public Health Events on Offline Consumption and Its Pathways

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Journal of systems Science and systems engineering 2024年第5期33卷 627-648页

作者： Baile Lu Kewei Zhou Shuai Hao La Ta Hongyan Dai Weihua Zhou College of Systems Engineering National University of Defense TechnologyChangsha 410073China Business School Central University of Finance and EconomicsBeijing 100081China Department of Marketing and Operations Management College of BusinessSouthern University of Science and TechnologyShenzhen 518055China School of Management Zhejiang UniversityHangzhou 310058China

In the face of a significant public health event,consumers may either increase their panic buying or decrease their willingness to make *** study focuses on the impact of a significant public health event on offline store sales and consumer consumption,utilizing data from chain convenience stores in Hefei and Wuhu during early 2019 and early 2020 in *** a difference-in-differences model,the study investigates the effect of the significant public health event outbreak on weekly store sales,order numbers,and consumer consumption in terms of product quantities,transaction amount,average amount per order,and transaction *** from prior literature that finds hoarding behavior of consumers online,the findings of this paper indicate a significant reduction in stores’offline weekly sales and order numbers,as well as consumers’offline weekly consumption across the four dimensions,as a result of the significant public health event ***,employing a mediation model,the study explores the pathway of population mobility through which the significant public health event adversely affects offline ***,subset analysis is conducted for stores located in different areas and consumers with varying characteristics,revealing that the aforementioned conclusions predominantly apply to stores situated in office areas and residential areas,as well as consumers with either no apparent preference for different product categories or a noticeable preference for food.

关键词： Significant public health event offline consumption population mobility mediating effect

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