Article
Computer Science, Information Systems
Faruk Hasic, Johannes De Smedt, Seppe vanden Broucke, Estefania Serral
Summary: This article presents a method for separating decision modeling from process modeling by using a service-oriented architecture that treats decisions as automated and externalized services. The Decision as a Service (DaaS) mechanism is explained through a formalization of Decision Model and Notation (DMN) constructs and relevant layer elements. The article also evaluates DaaS based on the fundamental characteristics of the service-oriented architecture paradigm and discusses the benefits of the DaaS design on process-decision modeling and mining.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Economics
Carlos Francisco Terneus Paez, Oswaldo Viteri Salazar
Summary: This research analyzes the impact of biofuel production in Ecuador on water, food, and energy, with a focus on ethanol produced from sugar cane. Despite the trend of promoting biofuels in countries highly dependent on petroleum imports, other options should be explored due to the risks biofuels pose to food security.
Article
Computer Science, Information Systems
Sugyan Kumar Mishra, Anirban Sarkar
Summary: This article presents an ontological framework for the IoT service-based environment to efficiently use service composition mechanisms in the large service domain. The proposed framework supports interoperability, heterogeneity, flexibility, manageability, extendibility, and scalability.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Mohammad Alherbawi, Ahmed AlNouss, Gordon Mckay, Tareq Al-Ansari
Summary: Research has been conducted to analyze the production and utilization process of Jatropha using various tools and technologies to find the most sustainable pathway for its utilization and address its potential impacts.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Review
Environmental Sciences
Hossein Akbari Variani, Abbas Afshar, Masoud Vahabzadeh, Amir Molajou
Summary: Agricultural crops are the primary food source, with livestock and poultry products indirectly depending on them. The lack of a comprehensive and easy-to-use simulation model for the food subsystem focusing on crops is a significant obstacle to adopting the water, food, and energy (WFE) nexus. This study reviewed simulation-based modeling studies of the WFE nexus, focusing on the crop growth models (CGMs) used in the system, and found that the AquaCrop model met more criteria compared to other CGMs.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Hossein Akbari Variani, Abbas Afshar, Masoud Vahabzadeh, Amir Molajou, Mohammad Matin Akbari Varyani
Summary: This study presents an Agriculture Simulation Model for the Food-Energy-Water (FEW) nexus at the watershed scale, which accurately models crop yield based on the dynamics between and within FEW subsystems in agriculture. The results show the highest and lowest energy consumption indices for Potato and rainfed Chickpea, respectively. The water economic productivity indices indicate irrigated Potato and Wheat as the highest and lowest.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Karpagam Subramanian, Shauhrat S. Chopra, Christopher M. Wharton, William Yonge, Julie Allen, Rozanne Stevens, Sam Fahy, Paschal Simon Milindi
Summary: The 'nexus' approach emphasizes the importance of the food service sector in achieving sustainable goals related to food waste and climate change. The FEWE Nexus Framework utilizes life cycle assessment and an audit tool to understand and optimize the interconnections between energy, water, emissions, and food waste.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Industrial
Lisi Liu, Yingxue Yao, Jianguang Li
Summary: The CNC system has made significant progress in precision and speed, but vendor-proprietary issue remains. Open CNC and cloud-CNC are proposed solutions, with INC application combining the two approaches.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Remote Sensing
Zhe Fang, Peng Yue, Mingda Zhang, Jinbiao Xie, Dongjin Wu, Liangcun Jiang
Summary: The international community has reached a consensus on the benefits of geospatial technologies in disaster management. However, integrating and coordinating geospatial resources in emergency situations face challenges due to encoding, source, knowledge, and network gaps. To bridge these resource gaps, a service-oriented collaborative approach is proposed to integrate geospatial resources and domain knowledge into a distributed environment for disaster decision support. This approach, implemented as GeoDR, a geospatial service platform for disaster response, has proven its capability to facilitate timely and effective responses to natural disasters through joint exercises and operation in China.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Review
Environmental Sciences
Chirenje Leonard Itayi, Geetha Mohan, Osamu Saito
Summary: This research systematically reviewed the literature in the food-energy-water nexus field, finding that the current methods lack a robust conceptualization and do not adequately explore social factors. A FEW nexus framework at the local household scale was proposed to address these gaps and consider socio-economic determinants.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Review
Agriculture, Multidisciplinary
Elizabeth Arnaud, Naama Menda, Thierry Tran, Amos Asiimwe, Michael Kanaabi, Karima Meghar, Lora Forsythe, Robert Kawuki, Bryan Ellebrock, Ismail Siraj Kayondo, Afolabi Agbona, Xiaofei Zhang, Thiago Mendes, Marie-Angelique Laporte, Mariam Nakitto, Reuben Tendo Ssali, Asrat Asfaw, Brigitte Uwimana, Chukwudi E. Ogbete, Godwill Makunde, Isabelle Maraval, Lukas A. Mueller, Alexandre Bouniol, Eglantine Fauvelle, Dominique Dufour
Summary: The 5-year project 'Breeding roots, tubers and banana products for end user preferences' collected consumers' preferences on 12 food products to guide breeding programmes. It involved multidisciplinary teams from Africa, Latin America, and Europe, generating diverse data on preferred qualities of users. Country-based target product profiles were produced with a comprehensive market analysis, providing prioritised lists of traits for new plant varieties. The project created a centralized and meaningful open access to sensory information on food products and genotypes through databases.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Computer Science, Information Systems
Chao Wang, Lei Gong, Xi Li, Qi Yu, Aili Wang, Patrick Hung, Xuehai Zhou
Summary: This paper introduces a services-oriented deep learning architecture, SOLAR, which utilizes various accelerators such as GPU and FPGA to improve performance. SOLAR provides a uniform programming model and leverages multi-target design space exploration to balance performance, power, energy, and efficiency.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Interdisciplinary Applications
Maryam Ghodsvali, Gamze Dane, Bauke de Vries
Summary: Making cities sustainable requires optimal integration and management of food, water, and energy resources, among others. Decision support tools and policy scenarios can help cities understand how sustainability can be achieved through the optimal integration of natural resources. However, there is a need for an integrative decision-making methodology and tool that incorporates food, water, and energy sectors into a general framework and quantitatively investigates synergies from a holistic perspective.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2023)
Article
Computer Science, Information Systems
Euiseok Kim, Taehyeong Son, Soonhoi Ha
Summary: This paper proposes a novel hierarchical IoT platform that provides scalability and enables communication and resource sharing between edges through the introduction of a super service. The viability of the proposed platform is demonstrated through the use of a simulation framework and experiments.
INTERNET OF THINGS
(2023)
Article
Chemistry, Multidisciplinary
Nemi Vora, Colin Gillen, Oleg A. Prokopyev, Vikas Khanna
Summary: This study examines the sustainability implications of rewiring U.S. rice production and trade to reduce water use and greenhouse gas emissions, modeling a series of optimization scenarios. Results show that restructuring trade can lead to reductions in irrigation and transportation emissions, but require changes in production patterns across states.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
Article
Food Science & Technology
Felipe A. Ribeiro, Soon K. Lau, Rebecca A. Furbeck, Nicolas J. Herrera, Morgan L. Henriott, Nicolas A. Bland, Samodha C. Fernando, Jeyamkondan Subbiah, Gary A. Sullivan, Chris R. Calkins
Summary: This study showed that pH levels did not significantly affect moisture loss and meat quality characteristics in dry-aged beef. Dark cutting steaks had lower color values regardless of aging method, and dry aging helped reduce microbial damage associated with dark cutting.
Article
Biotechnology & Applied Microbiology
Long Chen, Xinyao Wei, Byron D. Chaves, David Jones, Monica A. Ponder, Jeyamkondan Subbiah
Summary: The study investigated the effects of EtO processing parameters on Salmonella microbial inactivation and evaluated E. faecium as a suitable surrogate. The results showed that RH is critical for successful EtO inactivation treatment, and E. faecium is a suitable surrogate for Salmonella.
Article
Food Science & Technology
Xinyao Wei, Sabrina Vasquez, Harshavardhan Thippareddi, Jeyamkondan Subbiah
Summary: This study investigated the impact of water activity on the thermal inactivation kinetics of Salmonella and Enterococcus faecium in ground black pepper, finding significant negative effects of water activity and temperature on the thermal resistance of these bacteria. E. faecium was identified as a suitable surrogate for Salmonella in thermal processing validation due to its higher D-values at all three water activities.
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
(2021)
Article
Environmental Sciences
Xinjuan Hu, Yulie E. Meneses, Jayne Stratton, Soon Kiat Lau, Jeyamkondan Subbiah
Summary: The study integrated ozone pretreatment with microalgae biotreatment to effectively remove organic compounds and nutrients from high concentration meat processing wastewater. Results showed that ozone pretreatment significantly improved color removal and bacteria inactivation, while post biotreatment with microalgae and ACS bacteria enhanced bacterial growth and algal biomass, leading to efficient removal of pollutants.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Biotechnology & Applied Microbiology
Soon Kiat Lau, Rajendra Panth, Byron D. Chaves, Curtis L. Weller, Jeyamkondan Subbiah
Summary: Intervention technologies for inactivating Salmonella on whole chia seeds are limited. This study investigated the thermal inactivation kinetics of Salmonella on chia seeds and identified Enterococcus faecium as a potential nonpathogenic surrogate. The Weibull model was found to be a better fit for survivor data compared to the log-linear model.
JOURNAL OF FOOD PROTECTION
(2021)
Article
Food Science & Technology
Xinyao Wei, Long Chen, Byron D. Chaves, Monica A. Ponder, Jeyamkondan Subbiah
Summary: This study explored the impact of temperature and relative humidity on the inactivation of Salmonella and Enterococcus faecium on whole black peppercorns during ethylene oxide fumigation. The effects of temperature, humidity, and exposure time were found to have significant linear effects on microbial inactivation and were accurately predicted using the Weibull model. The developed response surface model successfully predicted log reductions in both Salmonella and E. faecium, providing valuable technical information for implementing EtO fumigation in black peppercorn processing.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2021)
Review
Food Science & Technology
Surabhi Wason, Tushar Verma, Jeyamkondan Subbiah
Summary: This review discusses the contamination and inactivation mechanisms of pathogenic microorganisms in low-moisture foods, as well as highlighting the importance and use of thermal and nonthermal technologies. It emphasizes the advantage of gas technologies for microbial inactivation in low-moisture foods.
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
(2021)
Article
Food Science & Technology
Tushar Verma, Byron D. Chaves, Sibel Irmak, Jeyamkondan Subbiah
Summary: The research showed that RF heating had no significant effect on the quality of dried basil leaves, while effectively reducing Salmonella and E. faecium populations to below detection limit after 65 seconds of treatment.
Article
Food Science & Technology
Long Chen, Jooyeoun Jung, Byron D. Chaves, David Jones, Mehrdad Negahban, Yanyun Zhao, Jeyamkondan Subbiah
Summary: The study determined the thermal inactivation kinetics of Salmonella and Enterococcus faecium in fresh hazelnut shell and kernel. Results showed that Enterococcus faecium has higher D-values than Salmonella in hazelnut kernel, making it a suitable surrogate for Salmonella. However, there was a large variation between calculated and experimental log reductions of Salmonella in hazelnut shell and kernel.
Article
Biotechnology & Applied Microbiology
Tushar Verma, Byron D. Chaves, Terry Howell, Jeyamkondan Subbiah
Summary: This study aimed to investigate the effect of water activity on thermal inactivation of Salmonella in dried basil leaves and evaluate Enterococcus faecium as an appropriate surrogate for Salmonella. The results indicated that the log-linear model fits well for thermal inactivation data, while the modified Bigelow model is better for fitting the D-values.
Article
Agriculture, Dairy & Animal Science
Xinyao Wei, Shantanu Agarwal, Jeyamkondan Subbiah
Summary: The study developed a process combining hot air assisted radio frequency (HARF) heating with high temperature holding in a convective oven for pasteurization of milk powders, which significantly reduced Salmonella levels. The research validated the effectiveness of the HARF-assisted thermal process for microbial safety of milk powder, providing valuable insights for process developers.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Food Science & Technology
Tushar Verma, Xinyao Wei, Byron D. Chaves, Terry Howell Jr, Jeyamkondan Subbiah
Summary: This study investigated the efficacy of chlorine dioxide gas on Salmonella inactivation on dried basil leaves and found that E. faecium may be a suitable surrogate for Salmonella. Results showed that at a relative humidity of 80%, the D-values for both microorganisms at a concentration of 10 mg/L exhibited different changes. The modified Bigelow model was found to be more effective in estimating D-values compared to the response surface model.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Food Science & Technology
Surabhi Wason, Tushar Verma, Sibel Irmak, Jeyamkondan Subbiah
Summary: This study evaluated the use of in-package RF pasteurization method for inactivation of Salmonella enterica in dried basil leaves. The results showed that a horizontally placed container achieved faster heating and achieved a significant reduction in the number of microorganisms. There was no significant change in the quality and chemical composition of dried basil leaves after RF treatment.
Article
Food Science & Technology
Xinyao Wei, Tushar Verma, Sibel Irmak, Jeyamkondan Subbiah
Summary: The study found that diluting and column chromatography purification of aflatoxin solutions treated with urease at pH 4 can better degrade the aflatoxin, reduce color and acidity changes, and have a good degradation effect on ochratoxin.
Article
Food Science & Technology
Surabhi Wason, Jeyamkondan Subbiah
Summary: Consumer awareness of the health benefits of chia seeds has led to increased consumption, even in their raw form. However, prior contamination with Salmonella can lead to an increase in microbial load during soaking, creating a potential health risk. In this study, chlorine dioxide (ClO2) gas was tested for its effectiveness in decontaminating Salmonella in chia seeds, and E. faecium was evaluated as a surrogate for Salmonella. The results showed that ClO2 gas significantly reduced both bacterial populations, and E. faecium proved to be a suitable surrogate for Salmonella during validation studies. The treated chia seeds showed minimal impact on their quality, except for a slight increase in peroxide value. The byproducts of ClO2 in the treated chia seeds were within safe levels.
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)