Article
Biochemistry & Molecular Biology
Segun Fatumo, Tinashe Chikowore, Ananyo Choudhury, Muhammad Ayub, Alicia R. Martin, Karoline Kuchenbaecker
Summary: This article describes the factors contributing to the imbalance in representation of different populations in genetic and genomic studies, and proposes a roadmap to enhance inclusion and ensure equal health benefits of genomics advances. The authors emphasize the importance of global efforts to ensure that everyone can benefit from genomic medicine.
Article
Thermodynamics
Sining Ma, Siyue Guo, Dingqian Zheng, Shiyan Chang, Xiliang Zhang
Summary: This research explores the provincial roadmap for the transformation of urban and rural heating in Northern Region of China by 2035, emphasizing the effectiveness of clean heating policies in reducing air pollution but noting the inadequacy in reducing CO2 emissions. It proposes the future development of industrial waste heat, air source heat pumps, and biomass heating for heating areas, highlighting the importance of addressing both air pollutants and carbon emissions reduction.
Article
Thermodynamics
Chenchen Zou, Minda Ma, Nan Zhou, Wei Feng, Kairui You, Shufan Zhang
Summary: Restraining the rapid growth of operational carbon emissions from residential buildings is critical to achieve carbon neutrality. This study builds an end-use emissions model to analyze past decarbonization efforts and projected emission change in China's residential building operations by mid-century. The study proposes a stepwise data analysis benchmark to decarbonize the residential building operations of top emitters, contributing to global building decarbonization in the era of carbon neutrality.
Review
Chemistry, Analytical
Lubna Luxmi Dhirani, Eddie Armstrong, Thomas Newe
Summary: Industrial Internet of Things (IIoT) is a new concept aiming to improve manufacturing processes and efficiency through a fully connected, transparent, automated, and intelligent factory setup. However, the transition from existing models to a vertical model and the implementation of new communication technologies pose challenges in achieving desired levels of data security.
Article
Construction & Building Technology
Shufan Zhang, Xiwang Xiang, Zhili Ma, Minda Ma, Chenchen Zou
Summary: This study provides a detailed data analysis and carbon neutral roadmap for step-wise carbon neutrality of commercial building operations through the analysis of dynamic emission scenarios. The results show that the carbon emissions of commercial building operations will peak in 2039, requiring an additional 169.73 Mt CO2 to be cut to achieve carbon neutrality. It is suggested that a multi-sectoral synergistic strategy is needed, with a better understanding of the challenges and urgent action required in the building sector to achieve carbon neutrality.
Article
Computer Science, Information Systems
Ayodeji O. Rotibi, Neetesh Saxena, Pete Burnap, Alex Tarter
Summary: Identifying risks in complex systems like Industrial Control Systems (ICS) requires a holistic understanding of the entire system. Dependency modelling (DM) is a participative methodology that helps identify system goals and dependencies. However, there are limitations in the current expressions of DM that hinder its adaptation for risk identification in ICS environments. This research explores how DM can be extended to address these limitations and proposes additional variables specific to ICS environments. The proposed extension improves risk identification at the enterprise, business process, and technology levels.
Review
Chemistry, Analytical
Gintaras Valusis, Alvydas Lisauskas, Hui Yuan, Wojciech Knap, Hartmut G. Roskos
Summary: This article focuses on the latest advances in terahertz imaging, specifically on optimization and miniaturization of the systems. It also discusses the integration with other technologies and their applications.
Article
Biodiversity Conservation
Istem Fer, Anthony K. Gardella, Alexey N. Shiklomanov, Eleanor E. Campbell, Elizabeth M. Cowdery, Martin G. De Kauwe, Ankur Desai, Matthew J. Duveneck, Joshua B. Fisher, Katherine D. Haynes, Forrest M. Hoffman, Miriam R. Johnston, Rob Kooper, David S. LeBauer, Joshua Mantooth, William J. Parton, Benjamin Poulter, Tristan Quaife, Ann Raiho, Kevin Schaefer, Shawn P. Serbin, James Simkins, Kevin R. Wilcox, Toni Viskari, Michael C. Dietze
Summary: In an era of rapid global change, the ability to understand and predict Earth's natural systems lags behind monitoring changes in the biosphere. Improving the information infrastructure through community-driven approaches is crucial to meeting the pressing needs of science and society in the 21st century. This roadmap focuses on key opportunities for community tools to bridge the gap between empirical research and modeling and accelerate the pace of discovery.
GLOBAL CHANGE BIOLOGY
(2021)
Article
Engineering, Biomedical
Steven R. Meikle, Vesna Sossi, Emilie Roncali, Simon R. Cherry, Richard Banati, David Mankoff, Terry Jones, Michelle James, Julie Sutcliffe, Jinsong Ouyang, Yoann Petibon, Chao Ma, Georges El Fakhri, Suleman Surti, Joel S. Karp, Ramsey D. Badawi, Taiga Yamaya, Go Akamatsu, Georg Schramm, Ahmadreza Rezaei, Johan Nuyts, Roger Fulton, Andre Kyme, Cristina Lois, Hasan Sari, Julie Price, Ronald Boellaard, Robert Jeraj, Dale L. Bailey, Enid Eslick, Kathy P. Willowson, Joyita Dutta
Summary: PET technology has played a crucial role in research and clinical applications, particularly in oncology. Recent advancements such as PET/MR and total-body PET have opened up new possibilities for expanding PET applications and radiotracer development, highlighting the need for more sophisticated quantitative analysis methods.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Siva Athreya, Gautam I. Menon, Rajesh Sundaresan
Summary: Several models have been developed in India to predict the spread of COVID-19. These models include variants of the classical SEIR model as well as approaches like time-series analysis, machine-learning, network models, and agent-based simulations. However, the lack of quality data has hindered the predictive power of these models.
COMMUNICATIONS OF THE ACM
(2022)
Article
Engineering, Environmental
Valeria Alvarado, Shu-Chien Hsu, Zhuoying Wu, Huichuan Zhuang, Po-Heng Lee, Jeremy S. Guest
Summary: Biological models of anaerobic digestion have been used to test control strategies. This study developed a novel microbial individuality model that identified the importance of homoacetogenesis in anaerobic digestion.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Economics
Le Xu, Lili Yang, Ding Li, Shuai Shao
Summary: Exploring the asymmetric effects of different environmental standards on green technology innovation is important for sustainable development. This study analyzes provincial-industrial level green patent data and uses difference-in-differences (DID) and propensity score matching DID (PSM-DID) models to investigate the effects of heterogeneous environmental standards. The results show that cleaner production standards promote green technology innovation while pollution emission standards inhibit it, with variations observed between regions and industries. The influence mechanisms identified include market competition, foreign direct investment (FDI), and research and development (R&D) inputs.
Article
Engineering, Electrical & Electronic
Bo Liu, Weizhe Zhang, Wenjuan Duan, Qingduan Meng
Summary: This paper proposes a novel accuracy-aware modeling and solving approach using a back-propagation neural network (BP-NN) for a classical analog five-transistor operational transconductance amplifier (OTA). Three complex BP-NN algorithms are described in detail for performance model training, utilizing genetic algorithm (GA), particle swarm optimization (PSO), and mind evolutionary algorithm (MEA) to speed up the search for global solutions. Simulations using SMIC 180 nm/1.8 V CMOS technology show that the algorithms have significantly superior features in solving accuracy, with improvements in mean square errors (MSEs) of 82.7%, 99.7%, and 99.9% respectively. The results demonstrate that the proposed BP-NN modeling approach effectively aids in accelerating the global design solution of long-cycle, nonlinear, and multivariable-solved analog circuits.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Bo Liu, Weizhe Zhang, Kai Li, Wenjuan Duan, Min Liu, Qingduan Meng
Summary: This paper proposes a complex algorithm for high-efficiency high-precision multiobjective synchronous modeling and optimal solving of analog ICs. The algorithm combines response surface methodology with an improved support vector regression machine, and has been demonstrated to be practical and effective in the experimental verification.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Review
Infectious Diseases
Frank Cobelens, Rajinder Kumar Suri, Michelle Helinski, Michael Makanga, Ana Lucia Weinberg, Britta Schaffmeister, Frank Deege, Mark Hatherill
Summary: In order to eliminate tuberculosis worldwide, there is an urgent need for a new, effective, and affordable vaccine, especially for adults and adolescents in low-income and middle-income countries. A roadmap has been created to accelerate tuberculosis vaccine research and development through a participatory process. The vaccine pipeline needs to incorporate more diverse immunological approaches, antigens, and platforms. Clinical development can be expedited through validated preclinical models, agreed laboratory correlates of protection, efficient trial designs, and validated endpoints. The public health impact of new tuberculosis vaccines can be determined by understanding the demand for them in each country, integrating vaccine implementation with ongoing tuberculosis prevention efforts, considering cost, and stimulating vaccine production on a national and global scale. Investments in tuberculosis vaccine research and development should be increased, with diversification of funding sources and coordination between funders. Open science is crucial for enhancing the efficiency of tuberculosis vaccine research and development, including early and freely available publication of study findings, as well as effective mechanisms for sharing datasets and specimens. Increased engagement of industry vaccine developers, political commitment to new tuberculosis vaccines, and addressing stigma and vaccine hesitancy are also necessary. The rapid development and introduction of COVID-19 vaccines provide valuable insights for tuberculosis vaccine research and development.
LANCET INFECTIOUS DISEASES
(2022)
Article
Engineering, Electrical & Electronic
Yosuke Kondo, Masato Izumichi, Osami Wada
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
(2018)
Article
Engineering, Electrical & Electronic
Katsuya Ohishi, Takashi Hisakado, Tohlu Matsushima, Osami Wada
IEICE TRANSACTIONS ON ELECTRONICS
(2018)
Article
Engineering, Electrical & Electronic
Daniel Kiss, Takashi Hisakado, Tohlu Matsushima, Osami Wada
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2019)
Article
Engineering, Electrical & Electronic
Tohlu Matsushima, Akira Sugiura, Osami Wada
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
(2020)
Article
Engineering, Electrical & Electronic
Daiki Tashiro, Takashi Hisakado, Tohlu Matsushima, Osami Wada
Summary: This article presents a transmission line model for studying electromagnetic phenomena in a finite-length single conductor, including radiation effects, which can be classified into three components: the principal wave, the radiation reaction, and the scattering wave. These components reveal the dynamic characteristics of the model.
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
(2021)
Article
Engineering, Electrical & Electronic
Hiroshi Tanaka, Tohlu Matsushima, Yusuke Yano, Osami Wada
Summary: This study proposes an EMC macromodel for predicting RF emission and power integrity issues inside an LSI, with compensation of equivalent current sources using correction factors to account for voltage fluctuations in on-chip PDN. This method addresses the issues arising from transient supply voltage fluctuations.
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
(2022)
Article
Engineering, Electrical & Electronic
Shun Yamaguchi, Mahfuzul Islam, Takashi Hisakado, Osami Wada
Summary: This study proposes a digital LDO solution that achieves fast transient response and low power operation by using a built-in non-linear VCO. The solution generates a clock signal with a non-linear symmetric function based on the output voltage error, resulting in low power consumption and symmetric frequency generation.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Engineering, Electrical & Electronic
Hiroshi Tanaka, Tohlu Matsushima, Yusuke Yano, Osami Wada
Summary: When designing LSI's on-chip PDNs, ensuring power integrity is crucial to avoid malfunctions. LSI-core macromodels are commonly used for fast PI simulation, but it is important to consider on-chip supply voltage fluctuations due to interference between function blocks. This article proposes a PI simulation method that accurately accounts for these fluctuations, and experiments demonstrate its effectiveness.
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Takehiro Kitamura, Mahfuzul Islam, Takashi Hisakado, Osami Wada
Summary: This study introduces a flash ADC architecture that reduces area and power consumption by utilizing offset voltage variations, successfully achieving a 5-bit ADC with power consumption of less than 1 mW at high speeds.
PROCEEDINGS OF THE 2021 TWENTY SECOND INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN (ISQED 2021)
(2021)
Article
Engineering, Electrical & Electronic
Yusuke Yano, Tohlu Matsushima, Osami Wada
IEICE COMMUNICATIONS EXPRESS
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
A. Haegawa, T. Hisakado, A. Islam, O. Wada
2019 THIRTEENTH INTERNATIONAL CONGRESS ON ARTIFICIAL MATERIALS FOR NOVEL WAVE PHENOMENA (METAMATERIALS))
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Hiro Shida, Osami Wada, Yasushi Asaji, Kenji Otani, Hisashi Ninomiya, Yoshitsugu Okuda, Masahiro Inoue
2018 JOINT IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY AND 2018 IEEE ASIA-PACIFIC SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC/APEMC)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Takanori Uno, Koji Maeda, Toshiyasu Tanaka, Yoshitsugu Okuda, Osami Wada
2018 JOINT IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY AND 2018 IEEE ASIA-PACIFIC SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC/APEMC)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Tohlu Matsushima, Takashi Hisakado, Osami Wada, Shinpei Oe, Tsuyoshi Sasaoka
2018 JOINT IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY AND 2018 IEEE ASIA-PACIFIC SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC/APEMC)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Yujiro Seki, Atsushi Shinozaki, Masato Morooka, Nobuhito Samoto, Kazuo Ogasawara, Osami Wada
2018 JOINT IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY AND 2018 IEEE ASIA-PACIFIC SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY (EMC/APEMC)
(2018)
