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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： david A.O. Ferreira diego A. Amoedo Luciana r. Costa Myke d.M. Valadão Adriana S. Souza Kethilen Y. Ouchi Antônio M.C. Pereira Gustavo M. Torres Mateus O. Silva Caio F.S. Cruz Agemilson P. Silva ruan J.S. Belem Anderson S. Jesus André S. Costa Lucas G.C. Evangelista Osmar r.A. Silva Thiago B. Bezerra Waldir S.S. Júnior Celso B. Carvalho Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI) Brazil ENVISION/TPV Technology Limited Brazil ICTS Institute Center of Development Research in Software Technology Brazil

ISBN: (数字)9781728173993

ISBN: (纸本)9781728174006

Manufacturing TVs and monitors requires an effective method to detect the dead pixels. These defects are usually identified by operators manually. However, manual inspection is susceptible to failure due to human fatigue and generate a high cost for production process. In this work, conducted by three partners (UFAM/CETELI, ICTS and ENVISION/TPV), we propose three methods for automated detection of dead pixels. Two proposed methods were based on machine learning (ML) techniques, random forest (rF) and support vector machine (SVM) algorithms. The third method was based in digital image processing (dIP), Harris algorithm. As result, the SVM obtained the better performance with 92.1% of precision in two of three used image database.

关键词： databases Support vector machines radio frequency Liquid crystal displays Measurement Training Monitoring

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Automated dead/Bright Pixel distance Measurement System on Computer Monitors

Automated Dead/Bright Pixel Distance Measurement System on C...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Victor L.G. Cavalcante diego A. Amoedo Adriana S. Souza Luciana r. Costa Myke d.M. Valadão Caio F.S. Cruz Agemilson P. Silva ruan J.S. Belem Anderson S. Jesus Lucas G.C. Evangelista Osmar r.A. Silva ricardo G. Paula Thiago B. Bezerra Waldir S.S. Júnior Celso B. Carvalho Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI) Brazil ENVISION/TPV Technology Limited Brazil ICTS Institute Center of Development Research in Software Technology Brazil

ISBN: (数字)9781728173993

ISBN: (纸本)9781728174006

In this work, conducted by three partners (UFAM/CETELI, ICTS and ENVISION/TPV), we propose an automated dead/bright pixel distance measurement system for use on monitors and TVs screen. The proposed system use Homography transformation and proportion estimation and some simple detection algorithms to detect edge, corners, and contour. As result, the proposed system perform the 700 Euclidean distance in millimeters. As result, the average distance measurement error was 0.44 millimeter.

关键词： TV Image edge detection Estimation Euclidean distance detection algorithms Monitoring Corner detection

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Corrigendum to "An industrial approach towards solid dosage development for first-in-human studies: Application of predictive science and lean principles" [drug discov. Today 25 (2020) 505-518]

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drug discovery today 2021年第8期26卷 2076页

作者： dhaval r Kalaria Keith Parker Gavin K reynolds Johanna Laru Early Product Development Pharmaceutical Sciences R&D AstraZeneca Macclesfield UK. Electronic address: dhaval.kalaria@***. Early Product Development Pharmaceutical Sciences R&D AstraZeneca Macclesfield UK. Global Product Development Pharmaceutical Technology & Development AstraZeneca Macclesfield UK.

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OA12.03 Osimertinib After definitive CrT in Unresectable Stage III EGFr-mutated NSCLC: Safety Outcomes from the Phase 3 LAUrA Study

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Journal of Thoracic Oncology 2024年第10期19卷 S36-S36页

作者： T. Kato X. dong T. Takahashi N. Soparattanapaisarn S.L. Geater K.V. Nguyen C.-L. Wang E. Arriola F. Moiseenko L. Thompson S. Harker E. Grainger E. Armenteros-Monterroso A. Bolanos S. ramalingam S. Lu Department of Thoracic Oncology Kanagawa Cancer Center Yokohama/JP Cancer Center Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan/CN Division of Thoracic Oncology Shizuoka Cancer Center Shizuoka/JP Mahidol University Sriraj Hospital Bangkok/TH Prince of Songkla University Hat Yai District Songkhla/TH Cho Ray Hospital Oncology Department Ho Chi Minh/VN Division of Pulmonary Oncology and Interventional Bronchoscopy Department of Thoracic Medicine Chang Gung Memorial Hospital Taoyuan/TW Hospital del Mar Medical Research Institute Barcelona/ES Chemotherapy Department Saint-Petersburg Clinical Scientific and Practical Center for Specialized Types of Medical Care (Oncological) Saint Petersburg/RU Global Patient Safety Oncology R&D AstraZeneca Cambridge/GB Global Patient Safety Oncology R&D AstraZeneca Luton/GB Biometrics Late-stage Development Oncology R&D AstraZeneca Cambridge/GB Late-stage Development Oncology R&D AstraZeneca Barcelona/ES Late-stage Development Oncology R&D AstraZeneca Mississauga/ON/CA Department of Hematology and Medical Oncology Emory University School of Medicine Winship Cancer Institute Atlanta/GA/USA Shanghai Lung Cancer Center Shanghai Chest Hospital School of Medicine Shanghai Jiao Tong University Shanghai/CN

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Industry-Scale Orchestrated Federated Learning for drug discovery

arXiv

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arXiv 2022年

作者： Oldenhof, Martijn Ács, Gergely Pejó, Balázs Schuffenhauer, Ansgar Holway, Nicholas Sturm, Noé dieckmann, Arne Fortmeier, Oliver Boniface, Eric Mayer, Clément Gohier, Arnaud Schmidtke, Peter Niwayama, ritsuya Kopecky, dieter Mervin, Lewis rathi, Prakash Chandra Friedrich, Lukas Formanek, András Antal, Peter rahaman, Jordon Zalewski, Adam Heyndrickx, Wouter Oluoch, Ezron Stößel, Manuel Vančo, Michal Endico, david Gelus, Fabien de Boisfossé, Thaïs darbier, Adrien Nicollet, Ashley Blottière, Matthieu Telenczuk, Maria Nguyen, Van Tien Martinez, Thibaud Boillet, Camille Moutet, Kelvin Picosson, Alexandre Gasser, Aurélien djafar, Inal Simon, Antoine Arany, Ádám Simm, Jaak Moreau, Yves Engkvist, Ola Ceulemans, Hugo Marini, Camille Galtier, Mathieu Ku Leuven ESAT-STADIUS Kasteelpark Arenberg 10 Heverlee3001 Belgium BME-HIT CrySyS Lab Budapest Hungary BME-MIT Budapest Hungary Novartis Institutes for BioMedical Research Novartis Campus BaselCH-4002 Switzerland Bayer Ag Leverkusen51373 Germany Substra Foundation Labelia Labs Nantes France Discngine 79 Avenue Ledru Rollin Paris75012 France Institut de Recherches Servier 125 chemin de ronde Croissy-sur-Seine78290 France Boehringer Ingelheim Rcv GmbH & Co Kg Vienna Austria Molecular Ai Discovery Sciences R&d AstraZeneca Cambridge United Kingdom R&d It AstraZeneca Cambridge United Kingdom Molecular Ai Discovery Sciences R&d AstraZeneca Gothenburg Sweden Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden Merck KGaA Global Research & Development Frankfurter Strasse 250 Darmstadt64293 Germany GmbH Staffelseestraße 2 Munich81477 Germany Pillar Biosciences Inc. 9 Strathmore Rd NatickMA01760 United States Janssen Pharmaceutica Nv Turnhoutseweg 30 Beerse2340 Belgium Kubermatic Hamburg Germany Owkin Paris France

To apply federated learning to drug discovery we developed a novel platform in the context of European Innovative Medicines Initiative (IMI) project MELLOddY (grant n°831472), which was comprised of 10 pharmaceutical companies, academic research labs, large industrial companies and startups. The MELLOddY platform was the first industry-scale platform to enable the creation of a global federated model for drug discovery without sharing the confidential data sets of the individual partners. The federated model was trained on the platform by aggregating the gradients of all contributing partners in a cryptographic, secure way following each training iteration. The platform was deployed on an Amazon Web Services (AWS) multi-account architecture running Kubernetes clusters in private subnets. Organisationally, the roles of the different partners were codified as different rights and permissions on the platform and administrated in a decentralized way. The MELLOddY platform generated new scientific discoveries which are described in a companion paper. Copyright © 2022, The Authors. All rights reserved.

关键词： Web services

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Process modelling of biodiesel production process using genetic programming

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Materials Today: Proceedings 2024年

作者： Ishwer Shivakoti Jasgurpeet Singh Chohan divya Zindani Kanak Kalita Department of Mechanical Engineering Sikkim Manipal Institute of Technology Rangpo 737102 India Department of Mechanical Engineering and University Centre for Research & Development Chandigarh University Mohali 140413 India Department of Mechanical Engineering Sri Sivasubramaniya Nadar (SSN) College of Engineering Kalavakkam 603 110 India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi 600062 India

Biodiesel production is a complex process that involves a number of process parameters. These process parameters must be carefully optimized to increase its yield. In this paper, a process model for biodiesel production is developed by using genetic programming (GP). A case study on biodiesel production from palm oil transesterification is selected from the literature to analyze the proposed methodology. The dataset from literature is based on a central composite design (CCd) with four process parameters (namely methanol-to-oil ratio ( x 1 ), catalyst loading ( x 2 ), reaction time ( x 3 ) and reaction temperature ( x 4 )). The FAME yield % is the target response. The available CCd data is divided into dedicated training (90 %) and testing (10 %) sets to analyze and evaluate the predictive power of the GP metamodel. The GP metamodel is trained using the tuned parameters and validated on the testing data using various statistical metrics. A high accuracy with an r 2 of 0.9676 for training data and 0.8834 for testing data is obtained. This study shows that the GP metamodel is a robust and accurate approach to model biodiesel production processes.

关键词： Biodiesel production Genetic programming Process modeling Central composite design response surface methodology

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Novel Translucent Hollow Fiber Polyvinylidene Fluoride Photocatalytic Membrane: The role of Translucency on degradation Efficiency

SSRN

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SSrN 2023年

作者： Kannathasan, Komathi Jaafar, Juhana Suhaimin, Nuor Sariyan Jafri, Nurul Natasha Mohammad Samitsu, Sadaki Alias, N.H. Ismail, A.F. Matsuura, T. Othman, M.H.d. rahman, Mukhlis A. Aziz, Farhana Yusof, Norhaniza Qtaishat, Mohammed rasool Ismail, M.I. Faculty of Chemical and Energy Engineering Universiti Teknologi Malaysia Johor Johor Bahru81310 UTM Malaysia National Institute for Materials Science 1-2-1 Sengen Tsukuba305-0047 Japan Department of Oil and Gas Engineering School of Chemical Engineering College of Engineering Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia Industrial Membrane Research Laboratory Department of Chemical Engineering University of Ottawa Canada King Abdullah University of Science and Technology Innovation and Economic Development Building #24 Innovation Cluster 3 #3-335 Thuwal23955-6900 Saudi Arabia UMW Innovation and R&D Centre Mukim Bandar Serendah Serendah Hulu Selangor Selangor48200 Malaysia

A novel thermally modified non-solvent induced phase separation (T-NIPS) fabrication method to produce translucent hollow fiber PVdF (THF-PVdF) photocatalytic membrane is developed. This method relies on attacking polymer crystalline property of PVdF by two steps temperature treatment process involving melting at high temperature (200°C) and rapid cooling at 0°C during spinning process thereby producing more γ-phase crystalline structure PVdF. The effect of membrane translucency on the photodegradation efficiency of immobilized photocatalyst were assessed. Graphitic carbon nitride in modified morphological structure (hollow nanofiber) were utilized. Membrane’s rejection, pure water flux and permeate flux of oil produced water were also investigated. The overall data shows that the produced membrane exhibits high translucency between 60.0% and 93.9% with THF-PVdF/PVP-GCN (2.0) exhibiting the highest. Comparatively, the filtration experiment on membrane with GCN photocatalyst showed high pure water flux (1200 L/m2h) and rejection (90%) of OPW than bare THF-PVdF and THF-PVdF/PVP. The photodegradation of GCN in suspended mode showed 99.98% degradation. The efficiency of GCN when immobilized in translucent membrane showed 95% photodegradation while membrane that is produced following commercial NIPS method showed only 49.40% photodegradation of OPW. This excellent performance is attributed by the transparency of membrane where the penetration of light is fully accommodated to the produced translucent photocatalytic membrane. The translucent photocatalytic membrane's preparation process and exceptional degradation efficiency meet the demands of current industrial productivity while also offering a bright application prospect for the industry. © 2023, The Authors. All rights reserved.

关键词： Crystal structure

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Modeling Long-Term Transfers of radiocesium in Farmland Under different Tillage and Cover Crop Treatments

SSRN

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SSrN 2023年

作者： Li, Peiran Gong, Yingting Tanaka, Taku Thiry, Yves Huang, Qiliang Komatsuzaki, Masakazu State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment South China Institute of Environmental Sciences Ministry of Ecology and Environment of the PRC Guangzhou China Institute of Agricultural Resources and Environment Guangdong Academy of Agricultural Sciences Guangzhou China EDF R&D LNHE 6 Quai Watier Chatou78400 France - Research and Development Division Chatenay-Malabry92298 France United Graduate School of Agricultural Science Tokyo University of Agriculture and Technology Saiwaicho 3-5-8 Fuchu Tokyo183-8509 Japan Center for International Field Agriculture Research & Education Ibaraki University 3-21-1 Ami Ibaraki Inashiki300-0393 Japan

The 2011 nuclear accident at Japan's Fukushima daiichi Nuclear Power Plant (FdNPP) prompted inquiries about the long-term transfer of Cesium-137 (137Cs) from soil to agricultural plants. In this context, numerical modeling is particularly useful for the long-term evaluation of the consequences of agroecosystem contamination. Agricultural practices, such as tillage and cover cropping, play key roles in 137Cs recycling in agroecosystems. In this study, we used 10-year monitoring data to develop a dynamic model to predict 137Cs redistribution (via uptake, litterfall, translocation, and percolation) under different tillage (no-tillage, NT;rotary cultivation, rC;moldboard plow, MP) and cover crop (rye;hairy vetch;fallow weed) treatments. The verification exercise and assessment results indicated the model's reliability, as the temporal dynamics of predicted values agreed with observed values. Tillage significantly influenced the 137Cs distribution in soil, thereby affecting plant uptake of 137Cs, whereas cover crop exerted a minimal effect on 137Cs cycling. Furthermore, while the 137Cs concentrations in soybean grain under rC and NT treatments were comparable 62 years after the FdNPP accident, the concentration under MP treatment remained consistently the lowest. despite natural decay being the main cause of the decreased global 137Cs level in the agroecosystem, with minimal losses from percolation to deeper soil layers and soybean harvesting, adopting an appropriate tillage practice was shown to promote a long-term reduction of 137Cs concentration in crops. Finally, to improve the model’s accuracy, further research should consider incorporating the effects of soil properties and extreme weather events on 137Cs flow into the model, as these factors are essential for realizing improved agroecosystem predictions. © 2023, The Authors. All rights reserved.

关键词： Tillage

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A newly designed Flexible Hydrated-Hardening Bone Graft (FHBG) promotes bone regeneration and in vivo calvarial repair

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Biomedical journal 2025年 100836页

作者： Wei-Ting Wang Chun-Chieh Tseng Huan-Chieh Cho Kuan-Yu Chiu Li-Wen Weng Yen-Hao Chang rong-Fu Chen Su-Shin Lee Yi-Chia Wu Division of Plastic Surgery Department of Surgery Kaohsiung Medical University Hospital Kaohsiung 807377 Taiwan. Electronic address: damouguai@***. Combination Medical Device Technology Division Medical Devices R&D Service Department Metal Industries Research & Development Centre Kaohsiung 821011 Taiwan. Electronic address: cctseng0915@***. Consortium of Integrative Biomedical Science Key Technology National Taiwan University Taipei 106319 Taiwan. Electronic address: huanchiehcho@ntu.edu.tw. Combination Medical Device Technology Division Medical Devices R&D Service Department Metal Industries Research & Development Centre Kaohsiung 821011 Taiwan. Electronic address: kychiu@mail.mirdc.org.tw. Combination Medical Device Technology Division Medical Devices R&D Service Department Metal Industries Research & Development Centre Kaohsiung 821011 Taiwan. Electronic address: only7110@mail.mirdc.org.tw. Combination Medical Device Technology Division Medical Devices R&D Service Department Metal Industries Research & Development Centre Kaohsiung 821011 Taiwan. Electronic address: yhchang830@***. Division of Plastic Surgery Department of Surgery Kaohsiung Medical University Hospital Kaohsiung 807377 Taiwan Regenerative Medicine and Cell Therapy Research Center Kaohsiung Medical University Kaohsiung 807378 Taiwan. Electronic address: chenrf@***. Department of Surgery School of Medicine Kaohsiung Medical University Kaohsiung 807378 Taiwan Regenerative Medicine and Cell Therapy Research Center Kaohsiung Medical University Kaohsiung 807378 Taiwan. Electronic address: k831702000@***. Regenerative Medicine and Cell Therapy Research Center Kaohsiung Medical University Kaohsiung 807378 Taiwan. Electronic address: yichiawu1124@***.

BACKGrOUNd:Autologous bone remains the gold standard for surgical bone reconstruction but presents clinical challenges like donor site complications and operational difficulties. METHOd:We investigate the osteogenic effects of a newly designed, ceramic and collagen-based, submicron-processed Flexible Hydrated-Hardening Bone Graft (FHBG), using both murine and human mesenchymal stem cells. We also compare the efficacy and safety of FHBG with a commercially available (CA) graft in New Zealand white rabbits with cranial bone defects. rabbits were divided into three groups: no graft, CA, and FHBG, and evaluated using Micro-CT and histological analysis at three and six weeks post-surgery. Safety was assessed through blood samples. rESULTS:In vitro, FHBG promoted osteogenesis and upregulated osteogenic-associated genes in mesenchymal stem cells. In vivo, FHBG significantly enhanced bone regeneration, showing approximately 25% and 30% more improvement than the control at three and six weeks post-surgery. FHBG also had about half the residual content compared to the CA group. Blood analysis showed no hepatotoxicity or nephrotoxicity associated with the graft. CONCLUSION:FHBG significantly promotes bone regeneration both in vitro and in vivo. Additionally, FHBG has been demonstrated to be safe, with fewer residuals remaining in the body compared to currently in-use clinical bone grafts. This study validates the ability of the newly designed FHBG to facilitate osteogenesis in vitro and demonstrates its efficacy and safety in new bone formation in vivo. The lower residual material further suggests a reduced long-term impact and associated risk with the graft.

关键词： Bone graft Bone regeneration Bone repair FHBG Micro-CT

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Gum based functional binder for high-performance artificial graphite anode for lithium-ion batteries

Sustainable Chemistry for the Environment

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Sustainable Chemistry for the Environment 2023年 2卷

作者： Chang, Joon Ha Pin, Min Wook Choi, Jiman Park, Jaewon Choi, Gyeong Min Yun, Jeongsik Cho, Kie Yong Chandio, Zubair Ahmed Kim, Inhye Kim, Youngjin Padil, Vinod V.T. Cheong, Jun Young LiB Materials Research Group Secondary Battery Materials Research Laboratory Research Institute of Industrial Science and Technology (RIST) 67 Cheongam-ro Pohang 37673 South Korea Industrial Materials R&D Group Korea Institute of Industrial Technology Incheon 21999 South Korea Quantum Technology Institute Korea Research Institute of Standards and Science Daejeon 34113 South Korea Department of Industrial Chemistry Pukyong National University 45 Yongso-ro Nam-gu Busan 48513 South Korea Bavarian Center for Battery Technology (BayBatt) and Department of Chemistry University of Bayreuth Universitätsstraße 30 Bayreuth 95447 Germany Department of Battery Convergence Engineering Kangwon National University Chuncheon 24341 South Korea Amrita School for Sustainable Development (AST) Amrita Vishwa Vidyapeetham Amrita University Amritapuri Kerala Kollam India

Artificial graphite (AG), in contrast to natural graphite, has received much attention due to its superior rate capabilities and stability under high current density. Although the rate capabilities can be enhanced by employing artificial graphite, there is room for improvement in the cycle retention characteristics of artificial graphite. In particular, further optimization on the binder type on anodes is necessary, as commercially used polyvinylidene fluoride (PVdF) has limitations in long-term cycling stability. Furthermore, PVdF is dissolved in N-Methyl-2-pyrrolidone (NMP), which is not environmentally- and eco-friendly. In this work, we have introduced a water-soluble binder based on deacetylated kondagogu gum (KG) for AG anodes, which are derived from the gum tree. Upon deacetylation, kondagogu gum can be dissolved in water, which can be directly used together with active materials and conductive agents in a slurry. replacing a PVdF binder with a KG binder results in an enhanced cycle retention and comparable rate capabilities, without the changes in the overall redox reactions with Li⁺. Postmortem analysis reveals that the improved electrochemical performance of the AG anode contributed to the excellent structural integrity of the KG binder compared with the PVdF binder. © 2023 The Author(s)

关键词： Anode Binder Graphite Kondagogu gum Lithium

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