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Mary Mehrnoosh Eshaghian-Wilner
(2016)
John Wiley & Sons
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Wireless Computing in Medicine
From Nano to Cloud with Ethical and Legal Implications
Mary Mehrnoosh Eshaghian-Wilner
(2016)
Sprog: Engelsk
John Wiley & Sons, Incorporated
1.662,00 kr.
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Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: John Wiley & Sons (Juni 2016)
- ISBN: 9781118993613
Provides a comprehensive overview of wireless computing in medicine, with technological, medical, and legal advances This book brings together the latest work of leading scientists in the disciplines of Computing, Medicine, and Law, in the field of Wireless Health. The book is organized into three main sections. The first section discusses the use of distributed computing in medicine. It concentrates on methods for treating chronic diseases and cognitive disabilities like Alzheimer’s, Autism, etc. It also discusses how to improve portability and accuracy of monitoring instruments and reduce the redundancy of data. It emphasizes the privacy and security of using such devices. The role of mobile sensing, wireless power and Markov decision process in distributed computing is also examined. The second section covers nanomedicine and discusses how the drug delivery strategies for chronic diseases can be efficiently improved by Nanotechnology enabled materials and devices such as MENs and Nanorobots. The authors will also explain how to use DNA computation in medicine, model brain disorders and detect bio-markers using nanotechnology. The third section will focus on the legal and privacy issues, and how to implement these technologies in a way that is a safe and ethical. Defines the technologies of distributed wireless health, from software that runs cloud computing data centers, to the technologies that allow new sensors to work Explains the applications of nanotechnologies to prevent, diagnose and cure disease Includes case studies on how the technologies covered in the book are being implemented in the medical field, through both the creation of new medical applications and their integration into current systems Discusses pervasive computing’s organizational benefits to hospitals and health care organizations, and their ethical and legal challenges Wireless Computing in Medicine: From Nano to Cloud with Its Ethical and Legal Implications is written as a reference for computer engineers working in wireless computing, as well as medical and legal professionals. The book will also serve students in the fields of advanced computing, nanomedicine, health informatics, and technology law.
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Detaljer om varen
- Hardback: 664 sider
- Udgiver: John Wiley & Sons, Incorporated (Juli 2016)
- ISBN: 9781118993590
Provides a comprehensive overview of wireless computing in medicine, with technological, medical, and legal advances
This book brings together the latest work of leading scientists in the disciplines of Computing, Medicine, and Law, in the field of Wireless Health. The book is organized into three main sections. The first section discusses the use of distributed computing in medicine. It concentrates on methods for treating chronic diseases and cognitive disabilities like Alzheimer's, Autism, etc. It also discusses how to improve portability and accuracy of monitoring instruments and reduce the redundancy of data. It emphasizes the privacy and security of using such devices. The role of mobile sensing, wireless power and Markov decision process in distributed computing is also examined. The second section covers nanomedicine and discusses how the drug delivery strategies for chronic diseases can be efficiently improved by Nanotechnology enabled materials and devices such as MENs and Nanorobots. The authors will also explain how to use DNA computation in medicine, model brain disorders and detect bio-markers using nanotechnology. The third section will focus on the legal and privacy issues, and how to implement these technologies in a way that is a safe and ethical.
- Defines the technologies of distributed wireless health, from software that runs cloud computing data centers, to the technologies that allow new sensors to work
- Explains the applications of nanotechnologies to prevent, diagnose and cure disease
- Includes case studies on how the technologies covered in the book are being implemented in the medical field, through both the creation of new medical applications and their integration into current systems
- Discusses pervasive computing's organizational benefits to hospitals and health care organizations, and their ethical and legal challenges
Contributors xiii Foreword xvii Preface xix
PART I INTRODUCTION 1 1 Introduction to Wireless Computing in Medicine 3 Amber Bhargava, Mary Mehrnoosh Eshaghian-Wilner, Arushi Gupta, Alekhya Sai Nuduru Pati, Kodiak Ravicz, and Pujal Trivedi
1.1 Introduction, 3
1.2 Definition of Terms, 5
1.3 Brief History of Wireless Healthcare, 5
1.4 What is Wireless Computing? 6
1.5 Distributed Computing, 7
1.6 Nanotechnology in Medicine, 10
1.7 Ethics of Medical Wireless Computing, 12
1.8 Privacy in Wireless Computing, 13
1.9 Conclusion, 14 References, 14 2 Nanocomputing and Cloud Computing 17 T. Soren Craig, Mary Mehrnoosh Eshaghian-Wilner, Nikila Goli, Arushi Gupta, Shiva Navab, Alekhya Sai Nuduru Pati, Kodiak Ravicz, Gaurav Sarkar, and Ben Shiroma
2.1 Introduction, 17
2.2 Nanocomputing, 18
2.3 Cloud Computing, 30
2.4 Conclusion, 37 Acknowledgment, 37 References, 37
PART II PERVASIVE WIRELESS COMPUTING IN MEDICINE 41 3 Pervasive Computing in Hospitals 43 Janet Meiling Wang-Roveda, Linda Powers, and Kui Ren
3.1 Introduction, 43
3.2 Architecture of Pervasive Computing in Hospitals, 45
3.3 Sensors, Devices, Instruments, and Embedded Systems, 49
3.4 Data Acquisition in Pervasive Computing, 59
3.5 Software Support for Context-Aware and Activity Sharing Services, 63
3.6 Data and Information Security, 66
3.7 Conclusion, 71 Acknowledgment, 71 References, 72 4 Diagnostic Improvements: Treatment and Care 79 Xiaojun Xian
4.1 Introduction, 79
4.2 System Design, 81
4.3 Body Sensor Network, 82
4.4 Portable Sensors, 84
4.5 Wearable Sensors, 88
4.6 Implantable Sensors, 94
4.7 Wireless Communication, 95
4.8 Mobile Base Unit, 97
4.9 Conclusion and Challenges, 98 Acknowledgment, 99 References, 99 5 Collaborative Opportunistic Sensing of Human Behavior with Mobile Phones 107 Luis A. Castro, Jessica Beltran-Marquez, Jesus Favela, Edgar Chavez, Moises Perez, Marcela Rodriguez, Rene Navarro, and Eduardo Quintana
5.1 Health and Mobile Sensing, 107
5.2 The InCense Sensing Toolkit, 110
5.3 Sensing Campaign
1: Detecting Behaviors Associated with the Frailty Syndrome Among Older Adults, 119
5.4 Sensing Campaign
2: Detecting Problematic Behaviors among Elders with Dementia, 123
5.5 Discussion, 131
5.6 Conclusions and Future Work, 132 References, 133 6 Pervasive Computing to Support Individuals with Cognitive Disabilities 137 Monica Tentori, José Mercado, Franceli L. Cibrian, and Lizbeth Escobedo
6.1 Introduction, 137
6.2 Wearable and Mobile Sensing Platforms to Ease the Recording of Data Relevant to Clinical Case Assessment, 144
6.3 Augmented Reality and Mobile and Tangible Computing to Support Cognition, 151
6.4 Serious Games and Exergames to Support Motor Impairments, 158
6.5 Conclusions, 168 Acknowledgments, 172 References, 172 7 Wireless Power for Implantable Devices: A Technical Review 187 Nikita Ahuja, Mary Mehrnoosh Eshaghian-Wilner, Zhuochen Ge, Renjun Liu, Alekhya Sai Nuduru Pati, Kodiak Ravicz, Mike Schlesinger, Shu Han Wu, and Kai Xie
7.1 Introduction, 187
7.2 History of Wireless Power, 189
7.3 Approach of Wireless Power Transmission, 191
7.4 A Detailed Example of Magnetic Coupling Resonance, 194
7.5 Popular Standards, 199
7.6 Wireless Power Transmission in Medical use, 201
7.7 Conclusion, 204 Acknowledgments, 205 References, 205 8 Energy-Efficient Physical Activity Detection in Wireless Body Area Networks 211 Daphney-Stavroula Zois, Sangwon Lee, Murali Annavaram, and Urbashi Mitra
8.1 Introduction, 211
8.2 Knowme Platform, 215
8.3 Energy Impact of Design Choices, 217
8.4 Problem Formulation, 228
8.5 Sensor Selection Strategies, 232
8.6 Alternative Problem Formulation, 237
8.7 Sensor Selection Strategies for the Alternative Formulation, 241
8.8 Experiments, 244
8.9 Related Work, 254
8.10 Conclusion, 256 Acknowledgments, 257 References, 257 9 Markov Decision Process for Adaptive Control of Distributed Body Sensor Networks 263 Shuping Liu, Anand Panangadan, Ashit Talukder, and Cauligi S. Raghavendra
9.1 Introduction, 263
9.2 Rationale for MDP Formulation, 265
9.3 Related Work, 268
9.4 Problem Statement, Assumptions, and Approach, 269
9.5 MDP Model for Multiple Sensor Nodes, 272
9.6 Communication, 274
9.7 Simulation Results, 276
9.8 Conclusions, 292 Acknowledgment, 294 References, 294
PART III NANOSCALE WIRELESS COMPUTING IN MEDICINE 297 10 An Introduction to Nanomedicine 299 Amber Bhargava, Janet Cheung, Mary Mehrnoosh Eshaghian-Wilner, Wan Lee, Kodiak Ravicz, Mike Schlesinger, Yesha Shah, and Abhishek Uppal
10.1 Introduction, 299
10.2 Nanomedical Technology, 301
10.3 Detection, 303
10.4 Treatment, 305
10.5 Biocompatibility, 309
10.6 Power, 311
10.7 Computer Modeling, 313
10.8 Research Institutions, 315
10.9 Conclusion, 317 Acknowledgments, 317 References, 317 11 Nanomedicine Using Magneto-Electric Nanoparticles 323 Mary Mehrnoosh Eshaghian-Wilner, Andrew Prajogi, Kodiak Ravicz, Gaurav Sarkar, Umang Sharma, Rakesh Guduru, and Sakhrat Khizroev
11.1 Introduction, 323
11.2 Overview of MENs, 324
11.3 Experiment
1: Externally Controlled On-Demand Release of Anti-HIV Drug Azttp Using Mens as Carriers, 325
11.4 Experiment
2: Mens to Enable Field-Controlled High-Specificity Drug Delivery to Eradicate Ovarian Cancer Cells, 331
11.5 Experiment
3: Magnetoelectric "Spin" on Stimulating the Brain, 339
11.6 Bioceramics: Bone Regeneration and MNS, 348
11.7 Conclusion, 351 References, 353 12 DNA Computation in Medicine 359 Noam Mamet and Ido Bachelet
12.1 Background for the Non-Biologist, 359
12.2 Introduction, 362
12.3 In Vitro Computing, 364
12.4 Computation in Vivo, 370
12.5 Challenges, 373
12.6 Glimpse into the Future, 373 References, 374 13 Graphene-Based Nanosystems for the Detection of Proteinic Biomarkers of Disease: Implication in Translational Medicine 377 Farid Menaa, Sandeep Kumar Vashist, Adnane Abdelghani, and Bouzid Menaa
13.1 Introduction, 377
13.2 Structural and Physicochemical Properties of Graphene and Main Derivatives, 379
13.3 Graphene and Derivatives-Based Biosensing Nanosystems and Applications, 382
13.4 Conclusion and Perspectives, 389 Conflict of Interest, 390 Abbreviations, 390 References, 391 14 Modeling Brain Disorders in Silicon Nanotechnologies 401 Alice C. Parker, Saeid Barzegarjalali, Kun Yue, Rebecca Lee, and Sukanya Patil
14.1 Introduction, 401
14.2 The BioRC Project, 402
14.3 Background: BioRC Neural Circuits, 404
14.4 Modeling Synapses with CNT Transistors, 408
14.5 Modeling OCD with Hybrid CMOS/Nano Circuits, 410
14.6 The Biological Cortical Neuron and Hybrid Electronic Cortical Neuron, 411
14.7 Biological OCD Circuit and Biomimetic Model, 412
14.8 Indirect Pathway: The Braking Mechanism, 413
14.9 Direct Pathway: The Accelerator, 414
14.10 Typical and Atypical Responses, 415
14.11 Modeling Schizophrenic Hallucinations with Hybrid CMOS/Nano Circuits, 416
14.12 Explanation for Schizophrenia Symptoms, 416
14.13 Disinhibition due to Miswiring, 418
14.14 Our Hybrid Neuromorphic Prediction Network, 418
14.15 Simulation Results, 419
14.16 Numerical Analysis of False Firing, 421
14.17 Modeling PD with CMOS Circuits, 422
14.18 Modeling MS with CMOS Circuits, 424
14.19 Demyelination Circuit, 425
14.20 Conclusions and Future Trends, 426 References, 428 15 Linking Medical Nanorobots to Pervasive Computing 431 Sylvain Martel
15.1 Introduction, 431
15.2 Complementary Functionalities, 432
15.3 Main Specifications for such Nanorobotic Agents (Nanorobots), 433
15.4 Medical Nanorobotic Agents--An Example, 436
15.5 Nanorobotic Communication Links Allowing Pervasive Computing, 438
15.6 Types of Information, 439
15.7 Medical Nanorobotic Agents for Monitoring and Early Detection, 440
15.8 Medical Nanorobotics and Pervasive Computing--Main Conditions that must be met for its Feasibility, 442
15.9 Conclusion, 443 References, 444 16 Nanomedicine''s Transversality: Some Implications of the Nanomedical Paradigm 447 José J. López and Mathieu Noury
16.1 Introduction, 447
16.2 Nanomedicine''s Promises, 448
16.3 Analysing Implications of the Nanomedicine Paradigm, 451
16.4 The Molecular Underpinnings of Nanomedicine''s Transversality, 456
16.5 Nanomedicine as Predictive Medicine, 457
16.6 Nanomedicine as Personalized Medicine, 460
16.7 Nanomedicine as Regenerative Medicine, 465
16.8 Conclusion, 466 References, 468
PART IV ETHICAL AND LEGAL ASPECTS OF WIRELESS COMPUTING IN MEDICINE 473 17 Ethical Challenges of Ubiquitous Health Care 475 William Sims Bainbridge
17.1 Int
PART I INTRODUCTION 1 1 Introduction to Wireless Computing in Medicine 3 Amber Bhargava, Mary Mehrnoosh Eshaghian-Wilner, Arushi Gupta, Alekhya Sai Nuduru Pati, Kodiak Ravicz, and Pujal Trivedi
1.1 Introduction, 3
1.2 Definition of Terms, 5
1.3 Brief History of Wireless Healthcare, 5
1.4 What is Wireless Computing? 6
1.5 Distributed Computing, 7
1.6 Nanotechnology in Medicine, 10
1.7 Ethics of Medical Wireless Computing, 12
1.8 Privacy in Wireless Computing, 13
1.9 Conclusion, 14 References, 14 2 Nanocomputing and Cloud Computing 17 T. Soren Craig, Mary Mehrnoosh Eshaghian-Wilner, Nikila Goli, Arushi Gupta, Shiva Navab, Alekhya Sai Nuduru Pati, Kodiak Ravicz, Gaurav Sarkar, and Ben Shiroma
2.1 Introduction, 17
2.2 Nanocomputing, 18
2.3 Cloud Computing, 30
2.4 Conclusion, 37 Acknowledgment, 37 References, 37
PART II PERVASIVE WIRELESS COMPUTING IN MEDICINE 41 3 Pervasive Computing in Hospitals 43 Janet Meiling Wang-Roveda, Linda Powers, and Kui Ren
3.1 Introduction, 43
3.2 Architecture of Pervasive Computing in Hospitals, 45
3.3 Sensors, Devices, Instruments, and Embedded Systems, 49
3.4 Data Acquisition in Pervasive Computing, 59
3.5 Software Support for Context-Aware and Activity Sharing Services, 63
3.6 Data and Information Security, 66
3.7 Conclusion, 71 Acknowledgment, 71 References, 72 4 Diagnostic Improvements: Treatment and Care 79 Xiaojun Xian
4.1 Introduction, 79
4.2 System Design, 81
4.3 Body Sensor Network, 82
4.4 Portable Sensors, 84
4.5 Wearable Sensors, 88
4.6 Implantable Sensors, 94
4.7 Wireless Communication, 95
4.8 Mobile Base Unit, 97
4.9 Conclusion and Challenges, 98 Acknowledgment, 99 References, 99 5 Collaborative Opportunistic Sensing of Human Behavior with Mobile Phones 107 Luis A. Castro, Jessica Beltran-Marquez, Jesus Favela, Edgar Chavez, Moises Perez, Marcela Rodriguez, Rene Navarro, and Eduardo Quintana
5.1 Health and Mobile Sensing, 107
5.2 The InCense Sensing Toolkit, 110
5.3 Sensing Campaign
1: Detecting Behaviors Associated with the Frailty Syndrome Among Older Adults, 119
5.4 Sensing Campaign
2: Detecting Problematic Behaviors among Elders with Dementia, 123
5.5 Discussion, 131
5.6 Conclusions and Future Work, 132 References, 133 6 Pervasive Computing to Support Individuals with Cognitive Disabilities 137 Monica Tentori, José Mercado, Franceli L. Cibrian, and Lizbeth Escobedo
6.1 Introduction, 137
6.2 Wearable and Mobile Sensing Platforms to Ease the Recording of Data Relevant to Clinical Case Assessment, 144
6.3 Augmented Reality and Mobile and Tangible Computing to Support Cognition, 151
6.4 Serious Games and Exergames to Support Motor Impairments, 158
6.5 Conclusions, 168 Acknowledgments, 172 References, 172 7 Wireless Power for Implantable Devices: A Technical Review 187 Nikita Ahuja, Mary Mehrnoosh Eshaghian-Wilner, Zhuochen Ge, Renjun Liu, Alekhya Sai Nuduru Pati, Kodiak Ravicz, Mike Schlesinger, Shu Han Wu, and Kai Xie
7.1 Introduction, 187
7.2 History of Wireless Power, 189
7.3 Approach of Wireless Power Transmission, 191
7.4 A Detailed Example of Magnetic Coupling Resonance, 194
7.5 Popular Standards, 199
7.6 Wireless Power Transmission in Medical use, 201
7.7 Conclusion, 204 Acknowledgments, 205 References, 205 8 Energy-Efficient Physical Activity Detection in Wireless Body Area Networks 211 Daphney-Stavroula Zois, Sangwon Lee, Murali Annavaram, and Urbashi Mitra
8.1 Introduction, 211
8.2 Knowme Platform, 215
8.3 Energy Impact of Design Choices, 217
8.4 Problem Formulation, 228
8.5 Sensor Selection Strategies, 232
8.6 Alternative Problem Formulation, 237
8.7 Sensor Selection Strategies for the Alternative Formulation, 241
8.8 Experiments, 244
8.9 Related Work, 254
8.10 Conclusion, 256 Acknowledgments, 257 References, 257 9 Markov Decision Process for Adaptive Control of Distributed Body Sensor Networks 263 Shuping Liu, Anand Panangadan, Ashit Talukder, and Cauligi S. Raghavendra
9.1 Introduction, 263
9.2 Rationale for MDP Formulation, 265
9.3 Related Work, 268
9.4 Problem Statement, Assumptions, and Approach, 269
9.5 MDP Model for Multiple Sensor Nodes, 272
9.6 Communication, 274
9.7 Simulation Results, 276
9.8 Conclusions, 292 Acknowledgment, 294 References, 294
PART III NANOSCALE WIRELESS COMPUTING IN MEDICINE 297 10 An Introduction to Nanomedicine 299 Amber Bhargava, Janet Cheung, Mary Mehrnoosh Eshaghian-Wilner, Wan Lee, Kodiak Ravicz, Mike Schlesinger, Yesha Shah, and Abhishek Uppal
10.1 Introduction, 299
10.2 Nanomedical Technology, 301
10.3 Detection, 303
10.4 Treatment, 305
10.5 Biocompatibility, 309
10.6 Power, 311
10.7 Computer Modeling, 313
10.8 Research Institutions, 315
10.9 Conclusion, 317 Acknowledgments, 317 References, 317 11 Nanomedicine Using Magneto-Electric Nanoparticles 323 Mary Mehrnoosh Eshaghian-Wilner, Andrew Prajogi, Kodiak Ravicz, Gaurav Sarkar, Umang Sharma, Rakesh Guduru, and Sakhrat Khizroev
11.1 Introduction, 323
11.2 Overview of MENs, 324
11.3 Experiment
1: Externally Controlled On-Demand Release of Anti-HIV Drug Azttp Using Mens as Carriers, 325
11.4 Experiment
2: Mens to Enable Field-Controlled High-Specificity Drug Delivery to Eradicate Ovarian Cancer Cells, 331
11.5 Experiment
3: Magnetoelectric "Spin" on Stimulating the Brain, 339
11.6 Bioceramics: Bone Regeneration and MNS, 348
11.7 Conclusion, 351 References, 353 12 DNA Computation in Medicine 359 Noam Mamet and Ido Bachelet
12.1 Background for the Non-Biologist, 359
12.2 Introduction, 362
12.3 In Vitro Computing, 364
12.4 Computation in Vivo, 370
12.5 Challenges, 373
12.6 Glimpse into the Future, 373 References, 374 13 Graphene-Based Nanosystems for the Detection of Proteinic Biomarkers of Disease: Implication in Translational Medicine 377 Farid Menaa, Sandeep Kumar Vashist, Adnane Abdelghani, and Bouzid Menaa
13.1 Introduction, 377
13.2 Structural and Physicochemical Properties of Graphene and Main Derivatives, 379
13.3 Graphene and Derivatives-Based Biosensing Nanosystems and Applications, 382
13.4 Conclusion and Perspectives, 389 Conflict of Interest, 390 Abbreviations, 390 References, 391 14 Modeling Brain Disorders in Silicon Nanotechnologies 401 Alice C. Parker, Saeid Barzegarjalali, Kun Yue, Rebecca Lee, and Sukanya Patil
14.1 Introduction, 401
14.2 The BioRC Project, 402
14.3 Background: BioRC Neural Circuits, 404
14.4 Modeling Synapses with CNT Transistors, 408
14.5 Modeling OCD with Hybrid CMOS/Nano Circuits, 410
14.6 The Biological Cortical Neuron and Hybrid Electronic Cortical Neuron, 411
14.7 Biological OCD Circuit and Biomimetic Model, 412
14.8 Indirect Pathway: The Braking Mechanism, 413
14.9 Direct Pathway: The Accelerator, 414
14.10 Typical and Atypical Responses, 415
14.11 Modeling Schizophrenic Hallucinations with Hybrid CMOS/Nano Circuits, 416
14.12 Explanation for Schizophrenia Symptoms, 416
14.13 Disinhibition due to Miswiring, 418
14.14 Our Hybrid Neuromorphic Prediction Network, 418
14.15 Simulation Results, 419
14.16 Numerical Analysis of False Firing, 421
14.17 Modeling PD with CMOS Circuits, 422
14.18 Modeling MS with CMOS Circuits, 424
14.19 Demyelination Circuit, 425
14.20 Conclusions and Future Trends, 426 References, 428 15 Linking Medical Nanorobots to Pervasive Computing 431 Sylvain Martel
15.1 Introduction, 431
15.2 Complementary Functionalities, 432
15.3 Main Specifications for such Nanorobotic Agents (Nanorobots), 433
15.4 Medical Nanorobotic Agents--An Example, 436
15.5 Nanorobotic Communication Links Allowing Pervasive Computing, 438
15.6 Types of Information, 439
15.7 Medical Nanorobotic Agents for Monitoring and Early Detection, 440
15.8 Medical Nanorobotics and Pervasive Computing--Main Conditions that must be met for its Feasibility, 442
15.9 Conclusion, 443 References, 444 16 Nanomedicine''s Transversality: Some Implications of the Nanomedical Paradigm 447 José J. López and Mathieu Noury
16.1 Introduction, 447
16.2 Nanomedicine''s Promises, 448
16.3 Analysing Implications of the Nanomedicine Paradigm, 451
16.4 The Molecular Underpinnings of Nanomedicine''s Transversality, 456
16.5 Nanomedicine as Predictive Medicine, 457
16.6 Nanomedicine as Personalized Medicine, 460
16.7 Nanomedicine as Regenerative Medicine, 465
16.8 Conclusion, 466 References, 468
PART IV ETHICAL AND LEGAL ASPECTS OF WIRELESS COMPUTING IN MEDICINE 473 17 Ethical Challenges of Ubiquitous Health Care 475 William Sims Bainbridge
17.1 Int
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