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Preparation and Characterization of Porous Collagen Membranes on Silicon

MRS Online Proceedings Library (OPL) 2011年第1期752卷 AA8.17-AA8.17页

作者： Lori A. Lepak Troy Richards Nancy Guillen Michelle Caggana James N. Turner Michael G. Spencer Cornell University Dept. of Chemistry and Chemical Biology Ithaca NY 14853 Cornell University Dept. of Electrical and Computer Engineering Research Experience for Undergraduates (REU) Program Wadsworth Center Empire State Plaza Albany NY 12201

Advances in biotechnology in the past decade have raised the possibility of fabricating biocompatible, porous membranes for molecular sieving and dialysis separations of particles sized 20–50 nm or less. As a prerequisite for such applications, we demonstrate that thin films (∼ 400 nm) of monomeric bovine dermal collagen spin-deposited on a silicon substrate are patternable using standard semiconductor microlithographic processing techniques. Patterning via liftoff has reliably produced square features as small as 10–25 μm laterally, and 50 nm thick, in initial *** (high vacuum electron microscope) images of these collagen membranes have revealed typical pore sizes ranging from 1–100 nm. Through-membrane diffusion of chromophores spanning this size range was quantified via UV/vis spectrometry. These studies revealed that a 400 nm thick collagen membrane crosslinked with 0.02% glutaraldehyde rejected detectable quantities of methyl orange dye (MW 327) for at least 48 hours, while a 100 nm thick layer admitted methyl orange in under 30 minutes. DNA has been demonstrated to pass through a 100 nm thick collagen layer more slowly than through a bare through-etched control wafer.

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Dental Imaging Using a Higher Signal-to-Noise Ratio Optical Coherence Tomography System

Dental Imaging Using a Higher Signal-to-Noise Ratio Optical ...

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Electrical, computer and Energy Technologies (ICECET), International Conference on

作者： Akeem. A. Azeez Biniyam Mezgebo Rodrigo França Sherif S. Sherif Biomedical Engineering Graduate Program University of Manitoba Winnipeg Canada Dept. of Electrical andComputer Engineering University of Manitoba Winnipeg Canada Dept. of Restorative Dentistry University of Manitoba Winnipeg Canada Dept. of Electrical and Computer Engineering University of Manitoba Winnipeg Canada

This paper presents an optical coherence tomography (OCT) system in conjunction with a novel image reconstruction technique employed for in vitro imaging of human teeth. The primary goal is to enhance the signal-to-noise ratio (SNR) in the obtained images. The study entails a comparative analysis between the conventional Fast Fourier Transform (FFT) OCT image reconstruction method and a newly introduced scaled nonuniform discrete Fourier transform (NDFT) approach. The findings reveal that the NDFT method consistently delivers superior results in terms of peak signal-to-noise ratio (PSNR) and overall image quality, even when dealing with redundant and nonuniform frequency domain samples. In light of these results, this paper concludes that integrating NDFT into OCT procedures has the potential to significantly enhance the quality of image reconstructions, thereby fostering its broader application in the field of dental imaging.

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Extrinsic LiDAR-Robot And LiDAR-Camera Calibration For Multi-sensor Fusion*

Extrinsic LiDAR-Robot And LiDAR-Camera Calibration For Multi...

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IEEE Latin American Robotics Symposium, LARS

作者： Gilmar Pereira Da Cruz Hector Azpúrua Fernando Lizarralde Gustavo Medeiros Freitas Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais - Av. Antônio Carlos 6627 Belo Horizonte MG Brazil Department of Computer Science Universidade Federal de Minas Gerais MG Brasil Electrical Engineering Program - COPPE Universidade Federal do Rio de Janeiro RJ Brasil

ISBN: (数字)9798331508807

ISBN: (纸本)9798331508814

In mobile robotics, an essential requirement for the fusion of different sensors is that measurements are expressed with respect to the same reference. In this sense, the transformation between sensors and robot is necessary to ensure better sensor fusion. Therefore, this article proposes an extrinsic sensor calibration based on markers and associated to three orthogonal planes. This technique is applied to two calibration approaches, LiDAR-Robot and LiDAR-Camera. The first one calculates the transformation between a 3D LiDAR sensor and a robot, and the second system calculates the transformation between a 3D LiDAR and an embedded RGB camera. To demonstrate the efficiency of our method, we performed simulations on the CoppeliaSim simulator and experiments in the laboratory. Then, the results show that it is possible to calibrate the sensors with the methodologies.

关键词： Visualization Laser radar Three-dimensional displays Robot vision systems Sensor fusion Cameras Sensor systems Sensors Calibration Registers

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Stochastic unit commitment in a distribution system with photovoltaic power: Empirical assessment

Stochastic unit commitment in a distribution system with pho...

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Thaís F. Araújo Wadaed Uturbey Luis G. Monteiro Le Xie Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte MG Brazil Electrical Engineering Department Federal University of Minas Gerais Belo Horizonte MG Brazil Department of Electrical and Computer Engineering Texas A&M University College Station Texas

ISBN: (纸本)9781479979943

This paper proposes an economic dispatch strategy to accommodate photovoltaic (PV) generation, using the solar radiation historical data. The stochastic scenario based economic dispatch approach is formulated in the context of a power system with photovoltaic generators. The stochastic nature of PV power is represented through scenarios. The strategy proposed addresses the improvement of system ability to maintain the power balance while minimizing the management costs of power system. The benefits of this approach are illustrated using a modified version of the IEEE 30-bus test system. The results obtained show that the proposed model is appropriated to accommodate the estimation error of PV generation, while providing economic benefits.

关键词： Generators Stochastic processes Production Solar radiation Power systems Predictive models Economics

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An Observation Data Driven Simulation and Analysis Framework for Early Stage <i>C. elegans</i>Embryogenesis

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Journal of Biomedical Science and engineering 2018年第8期11卷 225-234页

作者： Dali Wang Zi Wang Xiaopeng Zhao Yichi Xu Zhirong Bao Department of Electric Engineering and Computer Science University of Tennessee Knoxville USA Environmental Science Division Oak Ridge National Laboratory Oak Ridge USA Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville USA Developmental Biology Program Memorial Sloan Kettering Cancer Center NYC USA

Recent developments in cutting-edge live microscopy and image analysis provide a unique opportunity to systematically investigate individual cell’s dynamics as well as simulation-based hypothesis testing. After a summary of data generation and analysis in the observation and modeling efforts related to C. elegans embryogenesis, we develop a systematic approach to model the basic behaviors of individual cells. Next, we present our ideas to model cell fate, division, and movement using 3D time-lapse images within an agent-based modeling framework. Then, we summarize preliminary result and discuss efforts in cell fate, division, and movement modeling. Finally, we discuss the ongoing efforts and future directions for C. elegans embryo modeling, including an inferred developmental landscape for cell fate, a quasi-equilibrium model for cell division, and multi-agent, deep reinforcement learning for cell movement.

关键词： C. elegans Embryogenesis Agent-Based Modeling Deep Reinforcement Learning Observation-Driven Modeling Framework 3D Live Images

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Deep Learning with Greedy Layer-Wise Compound Scaling for Temperature and Humidity Prediction in Solar Dryer Dome

SSRN

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SSRN 2022年

作者： Cenggoro, Tjeng Wawan Elwirehardja, Gregorius Natanael Dominic, Nicholas Setiawan, Karli Eka Rahutomo, Reza Djuana, Endang Gunawan, Fergyanto E. Budiman, Arief S. Romeli, Sugiarto Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta11440 Indonesia Industrial Engineering Department BINUS Graduate Program Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Department of Manufacturing and Mechanical Engineering and Technology Oregon Institute of Technology Klamath FallsOR97601 United States PT. Impack Pratama Industri Jakarta Indonesia

Drying has been an eco-friendly and cost-efficient method to reduce post-harvest losses of agricultural crops. In various countries, the technique has been widely utilized in the form of Solar Dryer Dome (SDD) buildings. Accurate indoor microclimate forecasting is very important to implement smart control systems in SDDs that can maintain the ideal conditions, as the availability of solar energy is limited only at daytimes and the temperature may drop significantly during nighttimes in remote areas. The microclimate variables that play an important role in maintaining ideal environmental conditions include temperature and relative humidity. © 2022, The Authors. All rights reserved.

关键词： Forecasting

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Single-Phase Transformerless UPS with Interleaved Boost Converters for Battery Discharging

Single-Phase Transformerless UPS with Interleaved Boost Conv...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Alan R. A. Pinto Filipe A. C. Bahia Reuben P. R. Souza José R. Pinheiro Fabiano F. Costa Post-Graduate Program in Electrical Engineering PPGEE Federal University of Bahia Salvador Brazil Dept. of Electrical and Computer Engineering DEEC Federal University of Bahia Salvador Brazil Dept. of Electrical Engineering DEE Federal University of Campina Grande Campina Grande Brazil

This paper proposes a reconfiguration for a single-phase, double conversion uninterruptible power supply (UPS). With the addition of two static switches to the original circuit, the UPS mitigates the ripple in the current, through battery discharge performed by two legs. Other than these switches, the circuit topology is preserved. The preliminary results show a satisfactory level of ripples for the inductor current and suitable power quality for the output voltage.

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Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning

arXiv

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arXiv 2023年

作者： Kim, Nayeon Piao, Yinhua Kim, Sun Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of Department of Computer Science and Engineering Seoul National University Korea Republic of Institute of Computer Technology Seoul National University Korea Republic of AIGENDRUG Co. Ltd Korea Republic of

Leveraging knowledge from electronic health records (EHRs) to predict a patient’s condition is essential to the effective delivery of appropriate care. Clinical notes of patient EHRs contain valuable information from healthcare professionals, but have been underused due to their difficult contents and complex hierarchies. Recently, hypergraph-based methods have been proposed for document classifications. Directly adopting existing hypergraph methods on clinical notes cannot sufficiently utilize the hierarchy information of the patient, which can degrade clinical semantic information by (1) frequent neutral words and (2) hierarchies with imbalanced distribution. Thus, we propose a taxonomy-aware multi-level hypergraph neural network (TM-HGNN), where multi-level hypergraphs assemble useful neutral words with rare keywords via note and taxonomy level hyperedges to retain the clinical semantic information. The constructed patient hypergraphs are fed into hierarchical message passing layers for learning more balanced multi-level knowledge at the note and taxonomy levels. We validate the effectiveness of TM-HGNN by conducting extensive experiments with MIMIC-III dataset on benchmark in-hospital-mortality prediction. Copyright © 2023, The Authors. All rights reserved.

关键词： Taxonomies

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Sentiment Analysis: Indonesia Netflix User's Comment Using Multiple Lexicon-Based Dictionaries

Sentiment Analysis: Indonesia Netflix User's Comment Using M...

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Intelligent Cybernetics Technology & Applications (ICICyTA), International Conference on

作者： Sebastianus Adi Santoso Mola Tiwuk Widiastuti Rosa V. K. Isabela Ohe Roma Andrea Stevens Karnyoto Bens Pardamean Faculty of Science and Engineering University of Nusa Cendana Kupang Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331506490

ISBN: (纸本)9798331506506

A subscription movie streaming service from the United States, Netflix, has been present in Indonesia since 2016 and provides a wide variety of films without showing any single advertisements that can be viewed from anywhere, as long as there is access to the internet. Despite these advantages, many users have complained through the Google Play Store's comments column. Some of the common complaints include frequent buffering and connectivity issues, dissatisfaction with the limited selection of Indonesian movies, lack of subtitles for specific languages, or pricing concerns have also been raised. In this study developed two combined scenario methods using the InSet and SentiStrength_id dictionary to obtain better performance and compare them against independent InSet and SentiStrength_id. This study collected users' comments for the Netflix app in the Google Play Store as a dataset using web scraping techniques through the Google Collaboration tool. The dataset contains 3250 rows spanning the period from January 22, 2024, through June 6, 2024. To ensure proper processing of the text, data cleaning, lowercasing, normalization, tokenization, stemming, and stopwords removal are conducted. The results show that most user opinions are negative. The InSet dictionary has an accuracy of 92%, SentiStrength_id 78%, Combined scenario 1 is 87%, and scenario 2 reaches the highest among others which is 92.52%.

关键词： Sentiment analysis Dictionaries Accuracy Films Collaboration Pricing Motion pictures Tokenization Cleaning Internet

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Contributor Catalyst: A Pilot program to Support HBCU Undergraduates Contributing to Open Source

Contributor Catalyst: A Pilot Program to Support HBCU Underg...

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Frontiers in Education (FIE) Conference

作者： Emily Lovell Thorna Humphries Stephanie Lieggi Computer Science and Engineering University of California Santa Cruz Santa Cruz California USA Computer Science Department Norfolk State University Norfolk Virginia USA Open Source Program Office University of California Santa Cruz Santa Cruz California USA

ISBN: (数字)9798350351507

ISBN: (纸本)9798350363067

This Innovative Practice Work in Progress paper reports on a pilot program to support HBCU undergraduates in learning about open source software contribution. Offered in the Summer of 2023, this program was called Contributor Catalyst. This program was designed to support students who had completed foundational computing coursework (i.e. intro-ductory programming, data structures), but were still evaluating future education and career pathways. We served four HBCU undergraduates from the same institution in our pilot year. The program offered mentorship, instruction, and community-building through a hybrid-modality cohort model, in which students spent one week learning remotely, four weeks together in-person on an Rl residential campus, and then three more weeks collaborating remotely. Roughly the first half of the program was spent learning about open source tools, practices, and norms; the second half was spent contributing to p 5 js, a real world project which the students chose from a vetted list of options. Community-building events were highlighted during the in-person portion of the program, for example: welcome and departure dinners, regional excursions, and participating in a Black Lives Matter garden workday. Students also participated in professional development such as attending an academic research conference and visiting a tech company. Student learning was scaffolded by workshop-style instruction and was further supported by a layered community of practice. This community of practice included peer support from within the cohort, program support from their instructor, and project support from p 5 js community members. Students also had many opportunities to engage with guests including project maintainers, faculty members, and industry professionals, all working in the realm of open source. This paper offers an early report on our experiences and suggests how the program might evolve and grow in future years. In particular, we hope to build partnershi

关键词： Industries engineering profession Catalysts Computational modeling Education Data structures programming profession Open source software

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