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Predicting rice diseases using advanced technologies at different scales: present status and future perspectives

aBIOTECH 2023年第4期4卷 359-371页

作者： Ruyue Li Sishi Chen Haruna Matsumoto Mostafa Gouda Yusufjon Gafforov Mengcen Wang Yufei Liu College of Biosystems Engineering and Food Science Zhejiang UniversityHangzhou 310058China College of Environmental and Resource Sciences Zhejiang UniversityHangzhou 310058China State Key Laboratory of Rice Biology and Ministry of Agricultural and Rural Affairs Laboratory of Molecular Biology of Crop Pathogens and InsectsZhejiang UniversityHangzhou 310058China Department of Nutrition and Food Science National Research CentreGiza 12622Egypt Central Asian Center for Development Studies New Uzbekistan UniversityTashkent 100000Uzbekistan Global Education Program for AgriScience Frontiers Graduate School of AgricultureHokkaido UniversitySapporo 060-8589Japan

The past few years have witnessed significant progress in emerging disease detection techniques foraccurately and rapidly tracking rice diseases and predicting potential solutions. In this review we focuson image processing techniques using machine learning (ML) and deep learning (DL) models related tomulti-scale rice diseases. Furthermore, we summarize applications of different detection techniques,including genomic, physiological, and biochemical approaches. In addition, we also present the state-ofthe-art in contemporary optical sensing applications of pathogen–plant interaction phenotypes. Thisreview serves as a valuable resource for researchers seeking effective solutions to address the challenges of high-throughput data and model recognition for early detection of issues affecting rice cropsthrough ML and DL models.

关键词： Artificial intelligence Rice disease Model algorithms Imaging technology Plant-pathogen interactions High-throughput data

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Reconfigurable Inflated Soft Arms

Reconfigurable Inflated Soft Arms

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Nam Gyun Kim Jee-Hwan Ryu Robotics Program Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea Department of Civil and Environmental Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea

Inflatable structures have attracted considerable research attention in many fields owing to their numerous advantages, such as being light and able to engage in interactions safely. However, in most cases, the inflatable structure can only have one stable configuration, which is undesirable for robotic arms. This study proposes a novel inflatable structure that can be easily reconfigured into multiple stable configurations, even with single-body inflation. In the proposed mechanism, the structure length can be freely adjusted, and its respective joints can be set in the desired directions to facilitate the reconfiguration of its pose. An additional advantage of the proposed mechanism is that it can withstand external forces as well as its own weight. This study analyzes and experimentally validates the shape locking and load-carrying properties of the proposed mechanism. Further, the fabrication process and design guidelines for the proposed mechanism are presented. Through a suitable demonstration, the proposed mechanism is shown to exhibit multiple stable configurations and lock its poses.

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Enhancing Contact Stability in Admittance-Type Haptic Interaction Using Bidirectional Time-Domain Passivity Control

Enhancing Contact Stability in Admittance-Type Haptic Intera...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Seong-Su Park Huseyin Tugcan Dinc Kwang-Hyun Lee Jee-Hwan Ryu Department of Civil and Environmental Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea Robotics Program Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea

The present paper proposes a novel strategy to enhance admittance-type haptic interaction using bidirectional time-domain passivity control. While admittance-type haptic interaction is widely employed in human-robot collaboration, its ability to render low virtual inertia can be limited, leading to unstable interactions with rigid environments. The proposed strategy seeks to stabilize a lower range of virtual inertia while maintaining responsive behavior in free space. The Franka Emika Collaborative robot was utilized in various experiments to test the approach, and the results indicate that the bidirectional time-domain passivity controller can improve interaction performance relative to the conventional unidirectional time-domain passivity approach. This technique may aid in reducing operator fatigue during the manipulation of heavy, non-back drivable industrial robots while preserving a lightweight feel.

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Global distribution of forest classes and leaf biomass for use as alternative foods to minimize malnutrition

World Food Policy

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World Food Policy 2021年第2期7卷 128-146页

作者： Fist, Tim Adesanya, Adewale A. Denkenberger, David Pearce, Joshua M. Alliance to Feed the Earth in Disasters (ALLFED) Environmental and Energy Program Social Science Department Michigan Technological University Department of Mechanical Engineering University of Alaska Fairbanks Department of Electrical and Computer Engineering Western University

Due to the ready availability of tree leaves in many geographies, the alternative food of leaf concentrate currently has the potential to alleviate hunger in over 800 million people. It is therefore potentially highly impactful to determine the edibility of leaf concentrates, which are in the same regions as the world's most undernourished populations. Unfortunately, the toxicity of leaf concentrate for most common tree leaf types has not been screened and the cost of doing so demands a prioritization. This preliminary study explores this potential solution to world hunger by finding the forest classes most likely to offer proximate access to the world's hungry, thus providing the basis for a prioritized list of leaf types to screen for toxicity. Specifically, this study describes a novel methodology for mapping available green leaf biomass and corresponding forest classes (e.g., tropical moist deciduous forest), and their spatial relationship to the global distribution of people who are underweight. These results will be useful for developing a targeted list of tree species to conduct leaf toxicity analysis on, in the interest of developing leaves as an alternative food source for both current malnutrition problems and global catastrophic scenarios. © 2021 Policy Studies Organization.

关键词： agriculture edible leaves forests GIS global catastrophic risk hunger

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Development of flexible Li-ion batteries for flexible electronics

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InfoMat 2020年第5期2卷 866-878页

作者： Yifan Zhao Juchen Guo Materials Science and Engineering Program University of California–RiversideRiversideCalifornia Department of Chemical and Environmental Engineering University of California–RiversideRiversideCalifornia

We provide a critical review on the recent development of flexible lithium-ion batteries(FLIBs)for flexible electronic *** innovative designs of cell configuration for bendable and stretchable FLIBs,selection of active materials,and evaluation methods for FLIBs are *** grand challenges for FLIBs are energy density and scale-up fabrication as demonstrated in the ***,the lack of quantitative evaluation methods for FLIBs'performance and nondestructive tools to probe the mechanical degradation may significantly hinder the development of FLIB *** for future research directions,based on the current state of progress,are discussed.

关键词： flexible electronic devices flexible Li-ion batteries nondestructive probe

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An ANN-Based Electronic Nose for Monitoring Pollutant Gases in Landfills

An ANN-Based Electronic Nose for Monitoring Pollutant Gases ...

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IEEE Instrumentation and Measurement Technology Conference

作者： Juliene dos Santos Davi Muniz Francisco Auriberto Ferreira Marques Junior Cleonilson Protasio De Souza William De Paiva Post-Graduate Program of Electrical Engineering Federal University of Paraíba João Pessoa PB Brazil Post-Graduate Program of Environmental Science and Technology State University of Paraíba Campina Grande PB Brazil Department of Electrical Engineering Federal University of Paraíba João Pessoa PB Brazil Department of Sanitary and Environmental Engineering State University of Paraíba João Pessoa PB Brazil

ISBN: (数字)9798350380903

ISBN: (纸本)9798350380910

Biogas generated from urban solid waste degradation in landfills is composed of various types of gases, some of them are very toxic and harmful to the health of both humans and animals, and contribute directly to global warming as well. In this way, the monitoring of biogas concentration in landfills and their surroundings is very important because this can assess the air contamination around landfills, as well as to propose means to minimize it. In this work, an electronic nose for gas identification and measurement of gases present in landfill biogas using an Artificial Neural Network (ANN) is introduced. The ANN training data have been collected by the developed electronic nose, which consisted on a set of low-cost gas sensors and on a signal acquisition system controlled by the LabViewsoftware. After the ANN training, a neural architecture has been obtained and implemented in a microcontrolled digital system to measure different gas concentrations, mainly, methane. The main results of the proposed ANN-based Electronic Nose show that it was possible to measure the gases concentrations, with RMSE less than 1%, for the most of target gases, confirming the accuracy of the developed system.

关键词： Gases Semiconductor device measurement Accuracy Landfills Artificial neural networks Electronic noses Biogas

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Investigation of Microplastics in Raw and Processed Water for Unbranded Refilled Drinking Water in Karawang, Indonesia

SSRN

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SSRN 2025年

作者： Sari, Gina Lova Utami, Marsah Rahmawati Kasasiah, Ahsanal Rohmana, Andini Siti Amethysia, Nur Ridha Cahyaningrum, Putri Sekti Nainggolan, Adinda Melianda Kurniawan, Setyo Budi Study Program of Environmental Engineering Faculty of Engineering Universitas Singaperbangsa Karawang H.S Ronggowaluyo Karawang41361 Indonesia Study Program of Pharmacy Faculty of Health Science Universitas Singaperbangsa Karawang H.S Ronggowaluyo Karawang41361 Indonesia Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Selangor UKM Bangi 43600 Malaysia

It is undeniable that microplastics are found in many types of water, including drinking water. This study aims to investigate the presence of microplastics in one of the drinking waters widely used by communities in Indonesia, known as unbranded refilled drinking water. The investigation was conducted at eight unbranded refilled drinking water depots in Karawang, West Java. A total of 2.00 L of raw air and processed water samples were taken from each depot, then prepared by the National Oceanic and Atmospheric Administration, analyzed using an Olympus BX - 41 microscope with a magnification of ten times, and then counted manually. The results showed that raw and processed water in all unbranded refilled drinking water depots contained microplastics with details of 15.50-42.00 particles/L and 6.50-17.50 particles/L, respectively. The dominant microplastics found were fibers and fragments with sizes of 1.00-3.00 mm and less than 1.00 mm. Furthermore, the dominant color of the microplastics was black, indicating that the polymers of microplastics were polyethylene, polypropylene, or polystyrene. This finding has confirmed that refilled drinking water consumed by the community in Indonesia has potentially become one of the main pathways for the entry and accumulation of microplastics into the human body, posing significant health risks. Based on current research, further research is needed to improve water treatment performance to protect public health. © 2025, The Authors. All rights reserved.

关键词： Microplastic

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Real Time Monitoring System of Drinking Water Quality Using Internet of Things 24

Real Time Monitoring System of Drinking Water Quality Using ...

引用

24th International Electronics Symposium, IES 2022

作者： Abidin, Zainul Maulana, Eka Nurrohman, Muhammad Yogi Wardana, Fitri Candra Warsito Universitas Brawijaya Faculty of Computer Science Department of Computer Engineering Malang Indonesia Universitas Brawijaya Faculty of Engineering Department of Electrical Engineering Malang Indonesia Universitas Brawijaya Master Program in Environmental Resources and Development Management Postgraduate School Malang Indonesia Universitas Brawijaya Faculty of Mathematics and Natural Sciences Department of Chemistry Malang Indonesia

ISBN: (数字)9781665489713

ISBN: (纸本)9781665489713

In order to reduce Polyethylene Terephthalate (PET) bottle plastic waste, Universitas Brawijaya (UB) provided reverse osmosis drinking water in some buildings. Water monitoring is needed to keep the water quality. Therefore, a water monitoring system based on Total Dissolved Solids (TDS), pH, and water flow was proposed. Since the UB buildings have good internet connection (WiFi), Internet of Things (IoT) was employed to the system to support real time monitoring. So, data of TDS, pH, and water flow can be periodically sent to cloud and displayed to a specific website. The system worked very well and the data can be summarized and used by operator as indicators of performance of the reverse osmosis machine. When water quality and performance decrease, operator must check filters membrane or water pump for further maintenance to support long life use. Although the sensors have been calibrated properly, some measurement errors occur. The measurement error percentages of TDS and pH are 0.62% and 0.94%, respectively. © 2022 IEEE.

关键词： Internet of things

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NMD-mediated posttranscriptional regulation fine-tunes the NLR-WRKY regulatory module to modulate bacterial defense response

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Plant science 2025年 356卷 112528页

作者： Nasim, Zeeshan Karim, Nouroz Blilou, Ikram Ahn, Ji Hoon Department of Molecular Life Sciences Korea University Seoul 02841 South Korea Plant Science Program Biological and Environmental Science and Engineering Division (BESE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia

Nonsense-mediated mRNA decay (NMD) is a conserved eukaryotic surveillance system that maintains transcriptome integrity by degrading aberrant RNA transcripts. NMD ensures proper growth and development by preventing autoimmunity through the direct regulation of nucleotide-binding, leucine-rich repeat (NLR) genes. Whether NMD directly regulates WRKY genes remains unclear, despite their upregulation in NMD-deficient plants, and potential feedback between NLRs and WRKYs is also poorly understood. In this study, we showed that NMD also directly regulates a subset of WRKY (WRKY15, 18, 25, 33, 46, 60, and 70) genes, particularly at lower temperatures (16°C). NMD signature-containing transcripts of WRKY46 and WRKY70, selected as representative NMD-regulated WRKY genes, showed increased half-lives in NMD-deficient mutants. Transcriptome analyses showed that these seven NMD-regulated WRKY genes are induced in response to bacterial infection. Potential homologues of these seven NMD-regulated WRKY genes in maize and rice showed similar induction in response to bacterial pathogen infection. Furthermore, these NMD-regulated WRKY genes are induced in plants overexpressing RESISTANT TO P. SYRINGAE 4 (RPS4) in a temperature-dependent manner. By using ChIP-seq and DAP-seq data of WRKY transcription factors, we showed that WRKYs potentially regulate a significant number of NLR genes by directly binding to the W-box in their promoter regions. Taken together, our findings revealed that in addition to the NLRs, the NMD machinery also regulates WRKY genes to keep the basal defense levels in check and the WRKY transcription factors directly regulate NLR genes to constitutes a positive feedback regulatory loop to optimize the plant response to invading pathogens. © 2025 Elsevier B.V.

关键词： Arabidopsis Defense NLR NMD UPF WRKY

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A Systematic Review of Forensic Approaches to Disasters: Gaps and Challenges

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International Journal of Disaster Risk science 2023年第5期14卷 722-735页

作者： Adriano Mota Ferreira Victor Marchezini Tatiana Sussel Gonçalves Mendes Miguel Angel Trejo-Rangel Allan Yu Iwama Graduate Program in Disasters Institute of Science and TechnologySão Paulo State University(Unesp)São Josédos CamposSP12247-004Brazil Cemaden–National Center for Monitoring and Early Warning of Natural Disasters São Josédos CamposSP12247-004Brazil Natural Hazards Center Institute of Behavioral ScienceUniversity of Colorado BoulderBoulderCO80309USA Department of Environmental Engineering Institute of Science and TechnologySão Paulo State University(Unesp)São Josédos CamposSP12247-004Brazil Irish Climate Analysis and Research UnitS(ICARUS) Department of GeographyMaynooth UniversityMaynoothW23 F2H6KildareIreland Graduate Program in Development and Environment Federal University of ParaíbaJoão PessoaPB58051-900Brazil

Disaster forensic approaches aim to identify the causes of disasters to support disaster risk ***,few studies have conducted a systematic literature review of scientific articles that labeled themselves as a forensic approach to *** article provides a qualitative analysis of these forensic studies,focusing on five main issues:(1)the methodologies applied;(2)the forensic approaches used in the disaster risk management phases;(3)the hazards addressed;(4)if the methodologies involve social participation,and using what types of participation;and(5)if there are references to urban planning in the scientific studies *** results showed a predominance of the Forensic Investigations of Disasters(FORIN)and Post-Event Review Capability(PERC)methodologies used in isolation or *** is a need for methodologies that engage people in participatory FORIN,fostering the co-production of knowledge and action research approaches.

关键词： Dynamic pressures Forensic investigation Participatory research Risk drivers Root causes

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