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arXiv 2023年

作者： Izawa, Yukimura Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima739-8526 Japan International Institute for Sustainability with Knotted Chiral Meta Matter/WPI-SKCM2 Hiroshima University 2-313 Kagamiyama Higashi-Hiroshima City Hiroshima739-0046 Japan

We prsent a lepton flavor model with S4 and U(1)FN symmetry. The left-handed leptons are assigned as a triplet under the S4 symmetry, the right-handed electron and muon as S4 doublets, and the right-handed tauon as an S4 singlet. We introduce three right-handed Majorana neutrinos that are charged under the S4 symmetry and two scalar fields. Additionally, the three Higgs doublets are assigned as an S4 triplet, and we analyze the scalar potential to get the conditions for the Higgs VEVs. We numerically calculate the PMNS matrix, and give strong predictions for the mixing angle 0.486 23 ◦ CP | ◦. Our predictions for the lightest neutrino mass mlight 5.53 [meV] and the effective Majorana neutrino mass mee 6.33 [meV] from the neutrinoless double beta decay experiments are relatively close to upper limits. Lastly, we obtain the sum of neutrino masses m1 + m2 + m3 66.1 [meV], and two Majorana phases η1 and η2. © 2023, CC0.

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Zwitterion Functionalized Cuprous Oxide Nanoparticles for Highly Specific and Enzymeless Electrochemical Creatinine Biosensing in Human Serum

SSRN

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SSRN 2022年

作者： Rakesh, R.K. Kumar Shaikh, Muhammad Omar Kumar, Amit Liu, Chi-Hao Chuang, Cheng-Hsin Institute of Medical Science and Technology National Sun Yat-Sen University Kaohsiung80424 Taiwan Sustainability Science and Engineering Program Tunghai University Taichung407224 Taiwan Division of Nephrology Department of Internal Medicine Kaohsiung Armed Forces General Hospital Kaohsiung Taiwan

To overcome limitations of traditional enzymatic biosensors like poor long-term storage stability and high cost, widespread research efforts are being made to develop reliable nanomaterial based enzymeless biosensors. Herein, we report on the development of a novel enzymeless electrochemical biosensor for highly specific detection of creatinine. Our proposed biosensor employs a simple yet effective alternative to traditionally used cover layers based on the surface engineering of Cu 2 O NPs with N-hexadecyl -N,N dimethyl-3-ammonio-1-propanesulfonate . This surface modification generates a pseudo proton exchange membrane (PEM) consisting of the negatively charged terminal sulphonate group of the zwitterion which electrostatically hinders interfering agents from reaching the electrode surface, resulting in highly specific creatinine detection without loss in sensitivity. The proposed creatinine biosensor demonstrated fast response time ( © 2022, The Authors. All rights reserved.

关键词： Nanoparticles

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Unassisted photoelectrochemical CO2 reduction by employing Ⅲ–Ⅴ photoelectrode with 15% solar-to-fuel efficiency

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Carbon Energy 2025年第03期 6-15页

作者： Karthik Peramaiah Purushothaman Varadhan Vinoth Ramalingam Bilawal Khan Pradip Kumar Das Hao Huang Hui-Chun Fu Xiulin Yang Vincent Tung Kuo-Wei Huang Jr-Hau He Chemistry Program Center for Renewable Energy and Storage Technologies (CREST) and Division of Physical Science and Engineering King Abdullah University of Science and Technology (KAUST) Institute of Sustainability for Chemicals Energy and Environment (ISCE2) Agency for Science Technology and Research (A*STAR) School of Computing Engineering and Technology Robert Gordon University Department of Materials Science and Engineering City University of Hong Kong Guangxi Key Laboratory of Low Carbon Energy Materials School of Chemistry and Pharmaceutical Sciences Guangxi Normal University Department of Chemical System and Engineering University of Tokyo

Solar-driven carbon dioxide reduction reaction（CO2RR） provides an opportunity to produce value-added chemical feedstocks and ***,achieving efficient and stable photoelectrochemical（PEC） CO2RR into selective products is challenging owing to the difficulties associated with the optical and the electrical configuration of PEC devices and electrocatalyst ***,we construct an efficient,concentrated sunlight-driven CO2RR setup consisting of InGaP/GaAs/Ge triple-junction cell as a photoanode and oxide-derived Au（Ox-Au） as a cathode to perform the unassisted PEC *** one-sun illumination,a maximum operating current density of11.5 mA cm-2with an impressive Faradaic efficiency（FE） of ～98% is achieved for carbon monoxide（CO） production,leading to a solar-to-fuel conversion efficiency of ～15%.Under concentrated intensity of 10 sun,the photoanode records a maximum current density of ～124mA cm-2and maintains ～60% of FE for CO *** results demonstrate crucial advancements in usingⅢ-Ⅴ based photoanodes for concentrated PEC CO2RR.

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Effect of TiO 2 concentration in PVDF-TiO 2 -PVP mixed matrix membrane performance using ultrafiltration process

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Materials Today: Proceedings 2024年 96卷 1-5页

作者： Rianyza Gayatri Erna Yuliwati Ahmad Noor Syimir Fizal Muhamad Zulhilmi Zailani Juhana Jaafar Muzafar Zulkifli Wirach Taweepreda Ahmad Naim Ahmad Yahaya Universiti Kuala Lumpur Malaysian Institute of Chemical and Bioengineering Technology Alor Gajah Melaka 78000 Malaysia Department of Material Science and Technology Faculty of Science Prince of Songkla University (PSU) Hat Yai Songkla 90110 Thailand Program Study of Chemical Engineering Faculty of Engineering Universitas Muhammadiyah Palembang Jalan A.Yani 13 Ulu Kota Palembang 30263 Indonesia Centre for Sustainability of Ecosystem & Earth Resources (Pusat ALAM) Universiti Malaysia Pahang Lebuh Persiaran Tun Khalil Yaakob 26300 Gambang Pahang Malaysia Advanced Membrane Technology Research Centre (AMTEC) Faculty of Chemical and Energy Engineering Universiti Teknologi

This study investigated how the addition of hydrophilic TiO 2 to a porous asymmetric polyvinylidene fluoride (PVDF) Ultrafiltration (UF) membrane altered its properties and performance. The hydrophilicity and flux of PVDF and polyvinylpyrrolidone (PVP) combinations will be lower, and TiO 2 will significantly impact raising those values. By mixing titanium dioxide (TiO 2 ) nanoparticles with a pore-forming agent in a dope solution, PVDF-TiO 2 -PVP membranes were prepared via non-solvent-induced phase inversion method. Experiments using PVDF membranes with varying concentrations of TiO 2 (0, 0.25, 0.5, 1, 1.5, and 2% wt) were applied to evaluate pure water flux and Bovine Serum Albumin (BSA) flux. The functional group composition of membranes was investigated by Fourier transform infrared spectroscopy. The wettability of porous membranes was determined by measuring contact angles. Results demonstrated that membranes constructed from PVDF/PVP/TiO 2 with a lower loading of TiO 2 nanoparticles had a smaller mean pore size, more apertures inside the membrane, and better membrane hydrophilicity. The highest flux of pure water (121 L/m 2 h) was achieved by the PVDF-TiO 2 -PVP mixed-matrix membrane at a TiO 2 concentration of 2 wt%.

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Accelerating Electric Vehicle Uptake: Modelling Public Policy Options on Prices and Infrastructure

SSRN

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SSRN 2021年

作者： Broadbent, Gail Helen Allen, Cameron Ian Wiedmann, Thomas Metternicht, Graciela Isabel Earth and Sustainability Science Research Centre UNSW Sydney NSW2052 Australia Sustainability Assessment Program School of Civil and Environmental Engineering UNSW Sydney NSW2052 Australia School of Computer Science & Engineering Monash Sustainable Development Institute Monash University Melbourne Australia

Transitioning to passenger battery electric vehicles (BEV) can mitigate climate change impacts of road transportation. We develop a novel BEV policy model, nesting it within a national-scale macroeconomic system dynamics model ( iSDG-Australia ) to simulate a suite of policy pathways, underpinned by combinations of price incentive and infrastructure support. Subsidising vehicle purchase price brings forward the price-parity tipping point, rapidly accelerating BEVs’ share of new car sales. However, ongoing complementary charging infrastructure investment is critical to reach 100% new BEV car sales by 2050 in Australia. Despite rapid transition, the fleet we modelled would not achieve net-zero by 2050 due to vehicle longevity;and suddenly ceasing financial incentives could retard BEV sales by a decade. Results suggest emissions reductions are maximised by the fastest transition of the passenger vehicle fleet to BEVs, entailing government policy support for adequate infrastructure deployment and financial incentives to achieve earlier BEV price-parity with fossil-fuelled vehicles. © 2021, The Authors. All rights reserved.

关键词： Public policy

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Front-end circuit design for electroencephalography (EEG) signal 2

Front-end circuit design for electroencephalography (EEG) si...

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Indo - Taiwan 2nd International Conference on Computing, Analytics and Networks, Indo-Taiwan ICAN 2020

作者： Salahuddin Morsalin, S.M. Lai, Shin-Chi Master's Program of Green Technology for Sustainability Nanhua University Chiayi County Taiwan Nanhua University Department of Computer Science and Information Engineering Chiayi County Taiwan

ISBN: (纸本)9781728149998

Electroencephalography (EEG) signals are recorded for knowing the electrical activity of the brain from the scalp, and the recorded waveform provides acquits into the dynamic aspects of brain activity. This study incorporates the circuit design and device development to achieve the Electroencephalography signal acquisition front-end circuit design for future Brain-Computer Interface (BCI) applications. The amplitude of acquired signals should be strong enough and is usually expressed in the unit of millivolts. The data acquisition procedure consists three stages: 1) The acquisition of original EEG signal can be done by the active electrode and an instrumentation amplifier with a smaller gain;2) Improves the signal quality by using band-pass filter and band-stop filter;3) Those EEG signals convert into the digital code through the analog-to-digital converter (ADC) that will be integrated into a micro-controller. The digital code is stored into an embedded memory and is further transmitted via the Bluetooth module. The experimental results show that the system could implement the acquisition and storage of the EEG signals efficiently. The size of the printed circuit board (PCB) for the proposed design is smaller than 5.5 cm2. This system would be a benefit to all involved in the use of EEG for clinical diagnosis and monitoring, or even for the braincomputer interface. © 2020 IEEE.

关键词： Electrodes

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Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin Zhang Long Yu Fei Wang Yong Xie Jun Li Fang Wang Sabine Grunwald Bryan MWong Fan Zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai Zhang Husi Letu Bing Zhang Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng Zhang Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang Zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao Zhang Jiancheng Shi Lizhe Wang Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering Program Cooperating Faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA Institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China School of Environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

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Development of an Acoustic Flowmeter for Low Flow Rates

SSRN

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SSRN 2022年

作者： de Souza, Nilmar dos Santos Miranda, Igor Dantas Khun, André Romeiro, Lucas de Araujo Wanderley Fontes, Cristiano Hora de Castro Lima, Antonio Cezar Mechatronics Program Federal University of Bahia Brazil Center for Science and Technology in Energy and Sustainability Federal University of the Recôncavo of the Bahia Brazil Center for Exact Sciences and Technology Federal University of the Recôncavo of the Bahia Brazil Industrial Engineering Program Federal University of Bahia Brazil Department of Electrical Engineering Polytechnic School Federal University of Bahia Brazil

The use of non-intrusive acoustic flow meters for residential applications has been little explored. This work presents the development of a non-intrusive acoustic instrument for low water flow rates measured at a PVC pipe knee. A chest piece of stethoscope with an electret microphone was used, and 10 collection cycles were performed, in a range of 16 to 488 liters/hour (lph). The results show that there is a quadratic relationship between the standard deviation of the acoustic signal and the water flow, and the existence of a transition region is predicted. Furthermore, there was an exponential relationship between the standard deviation of the detail coefficients of the Wavelet Transform and the energy of the approximation coefficients with the fluidic flow. Thus, as far as we know, this is the first time that a correlation between the acoustic noise generated by a low flow of water on a residential scale is presented. This approach represents a potential alternative for monitoring water consumption at specific points in a residence, which, in turn, enables the identification of user patterns and contributes to the management of the distribution of water resources in a given location. © 2022, The Authors. All rights reserved.

关键词： Wavelet transforms

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Wearable strain sensor utilizing the synergistic effect of Ti3C2Tx MXene/AgNW nanohybrid for point-of-care respiratory monitoring

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Materials Today Chemistry 2024年 37卷

作者： Kumar, Amit Kumar, R.K. Rakesh Shaikh, Muhammad Omar Yang, Jia-Yu Bharti, Aditya Manu Huang, Bo-Yan Chang, Hsu-Liang Lee, Da-Huei Chuang, Cheng-Hsin Institute of Medical Science and Technology National Sun Yat-sen University Kaohsiung80424 Taiwan Department of Chemical Engineering National Taiwan University Taipei City10617 Taiwan Institute of Biomedical Engineering and Nanomedicine National Healthcare Research Institutes 350 Miaoli County Taiwan National Sun Yat-sen University Kaohsiung80424 Taiwan Sustainability Science and Engineering Program Tunghai University Taichung407224 Taiwan Department of Internal Medicine Kaohsiung Municipal Ta-Tung Hospital Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung Taiwan Department of Electrical Engineering National Chung-Kung University Tainan Taiwan

Respiratory signals are significant indicators for detecting changes in physiological conditions and early diagnosis of numerous respiratory illnesses. Herein, we have integrated a high-performance strain sensor and portable circuit board (PCB) with personalized interface to develop point-of-care respiratory monitoring device. The ultrasensitive strain sensor utilizes a conductive polymeric nanocomposite that harnesses the synergistic effect of Ti3C2Tx (MXene)/AgNW nanohybrid to develop a wearable device. The wearable device is capable of analysing pulmonary volumes, such as forced volume capacity (FVC) and forced expiratory volume (FEV1), while accurately recognizing various breathing patterns in a resting state (such as normal, forced, and obstructive), as well as during different physical activities. It shows excellent correlation (>93%) with commercial spirometer for measurement of pulmonary parameters. In addition, we present a wireless device for lab rat respiratory monitoring in anaesthetic state. The device is implemented for real-time respiratory monitoring under mild, normal and high anaesthesia doses. The levels of anaesthesia doses including a critical limit can be significantly discriminated by means of breathing frequency and amplitude, which ultimately results in saving their lives. These results demonstrate the practical feasibility of the strain sensing device as wearable electronics for point-of-care respiratory monitoring in humans and other species. © 2024 Elsevier Ltd

关键词： Diagnosis

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Topological Rigidity and Non-Abelian defect junctions in chiral nematic systems with effective biaxial symmetry

arXiv

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arXiv 2024年

作者： Wu, Jin-Sheng Valenzuela, Roberto Abril Bowick, Mark J. Smalyukh, Ivan I. Department of Physics and Chemical Physics Program University of Colorado Boulder United States Department of Physics University of California Santa Barbara United States Kavli Institute for Theoretical Physics University of California Santa Barbara United States French American Center for Theoretical Science CNRS KITP Santa Barbara United States International Institute for Sustainability with Knotted Chiral Meta Matter Japan Department of Electrical Computer and Energy Engineering Materials Science and Engineering Program and Soft Materials Research Center University of Colorado Boulder United States Renewable and Sustainable Energy Institute National Renewable Energy Laboratory University of Colorado Boulder United States

We study topologically stable defect structures in systems where the defect line classification in three dimensions and associated algebra of interactions (the fundamental group) are governed by the non-Abelian 8-element group, the quaternions Q8. The non-Abelian character of the defect algebra leads to a topological rigidity of bound defect pairs, and trivalent junctions which are the building blocks of multi-junction trivalent networks. We realize such structures laboratory chiral nematics and analyze their behavior analytically, along with numerical modeling © 2024, CC BY.

关键词： Rigidity

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