Article
Business
Vivek Kumar, Arpita Srivastava
Summary: This study provides a comprehensive overview of corporate social responsibility (CSR) research by analyzing 14,523 articles published in scholarly journals from 1991 to 2020 using an unsupervised text-mining method. It contributes to the literature by characterizing the CSR concept, exploring the dimensions that constitute CSR, and examining the shift from injunctive to instrumental CSR in the literature.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Jia Liu, Hemin Golpira, Hassan Bevrani, Toshifumi Ise
Summary: This paper proposes a simple power system modeling method to analyze the grid integration effect of a virtual synchronous generator (VSG), showing high efficiency in representing slow power and frequency deviations. Modal analyses provide insight into the synthesis of system poles by individual generator poles, and the impact of different VSG designs on system oscillation modes. Discussions on potential errors due to topology simplifications and measures to avoid them are included.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Paola Gomez, Claudia Roncancio, Rubby Casallas
Summary: Document-oriented databases offer flexibility in data representation, but developers often neglect the choice of representation, resulting in issues with database and application quality. This research aims to provide objective metrics to reveal the advantages and disadvantages of different data structuring alternatives.
DATA & KNOWLEDGE ENGINEERING
(2021)
Article
Computer Science, Information Systems
Zheng Liu, Guisheng Fan, Huiqun Yu, Liqiong Chen
Summary: This paper studied the modeling and analysis of service reliability in the cloud environment, proposed a formal description language for modeling microservices, user requests, and containers, designed a fault-tolerant strategy with redundancy operation, and verified the effectiveness of the method through experiments. Simulation results showed that the algorithm obtained maximum benefits and high performance through multiple experiments.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Article
Engineering, Chemical
Maria Matusiewicz
Summary: This article examines the attitudes of recipients/businesses in the neighboring agglomerations of Gdansk and Gdynia towards selected city logistics measures, and finds that the difficulty of implementing a measure and the size of the business affect the openness towards new logistics solutions.
Article
Ergonomics
Elif Deniz Oguz Erkal, Matthew R. Hallowell, Siddharth Bhandari
Summary: This study evaluates existing safety performance measures in construction and explores how multiple metrics can be used together to optimize strengths and offset weaknesses. The results show that no single metric is strong in all evaluation criteria, but weaknesses can be addressed through research and development. It is also demonstrated that combining multiple complementary metrics can result in a more comprehensive evaluation of safety systems.
JOURNAL OF SAFETY RESEARCH
(2023)
Article
Operations Research & Management Science
Shilpi Verma, Mukesh Kumar Mehlawat, Divya Mahajan
Summary: This paper proposes a two-phase approach for decision-making in designing component-based modular software system with multiple applications. The first phase evaluates components using technique for order preference by similarity to ideal solution. The second phase develops a non-linear multi-objective optimization model to determine whether to buy commercial-off-the-shelf components or to build in-house components. Critical parameters such as reliability, reusability, and compatibility are considered in the proposed model.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Construction & Building Technology
Fabiana Trindade da Silva, Neyval Costa Reis Jr, Jane Meri Santos, Elisa Valentim Goulart, Felipe Simoes Maciel, Luis Braganca, Cristina Engel de Alvarez
Summary: The study revealed significant differences in urban block typologies and urban metrics between literature studies and real cities, suggesting that urban block parameterization derived from real urban areas provides a more accurate representation of density.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Thermodynamics
Nuo Lei, Hao Zhang, Rulong Li, Jun Yu, Hong Wang, Zhi Wang
Summary: The physics-informed data-driven approach is used for powertrain modeling and optimization of a plug-in hybrid electric vehicle. Data-driven models for engine fuel consumption and battery state of health (SOH) loss are proposed and compared with other approaches. The driving cycle representing the commuting scenario is reconstructed based on Beijing's traffic data. The parameters of the hybrid powertrain are further optimized using the non-dominated sorting genetic algorithm-II (NSGA-II), resulting in reduced fuel consumption and battery capacity loss.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Green & Sustainable Science & Technology
Peer Jeelani, Shamim Ahmad Shah, Sajad Nabi Dar, Huma Rashid
Summary: The success of sustainable tourism is dependent on the involvement of various stakeholders, particularly communities. This study aims to measure the attitudes of local communities towards sustainable tourism development and evaluate the reliability and validity of the SUS-TAS. The findings suggest that the SUS-TAS is a valuable tool for monitoring sustainable tourism development.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Studies
Vera Goetze, Mathias Jehling
Summary: This study compares urban development in the Netherlands and Switzerland and finds that land policies have a significant impact on the negative social effects of densification. The analysis also reveals different patterns of development between the two countries, with frequent contiguous redevelopments in Dutch cities.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
Article
Acoustics
Asli Ozcevik Bilen, Zerhan Yuksel Can
Summary: Soundscape research has evolved since the 1970s, with diverse aims, area selections, evaluation criteria, and methodologies. The ISO 12913 series aims to harmonize definitions and regulate methods for data collection and analysis. This study presents an applied soundscape approach for evaluating, conserving, and improving acoustical comfort in urban areas based on field studies linking objective and subjective assessments.
Article
Engineering, Manufacturing
Duong Xuan Bien
Summary: This study focuses on establishing and evaluating surface roughness prediction models for hard turning with self-driven rotary cutting tools on a 45HRC hardness 40X steel shaft. The predictive models are developed using Multivariable Regression Analysis, Artificial Neural Network, and Genetic Programming. The evaluation criteria include Coefficient of Determination, Mean Square Error, and Mean Absolute Percent Error.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Energy & Fuels
Jan-Philip Beck, Parantapa Sawant, Simon Ruben Drauz, Jan Soeren Schwarz, Annika Heyer, Philipp Huismann
Summary: Simulation-based studies are crucial for evaluating new energy technologies and concepts in the energy grid. In this paper, four different models representing various approaches are compared in real-world scenarios. The results indicate that simplified models are sufficient for system-wide analysis, but component-oriented approaches are more important for field-level operations.
Article
Energy & Fuels
Zhao Jin, Jie Zhang, Shuyuan Wang, Bingda Zhang
Summary: This paper proposes a component-oriented modeling method to enhance the computational efficiency of FPGA-based real-time digital simulators (FRTDS) in power system simulation. It presents a user-friendly and scalable modeling process for different types of elements in FRTDS. By applying the concepts of combination and reconstruction of components, it becomes better suited for combined elements with fixed connection modes and elements that require online model replacement. The variable declaration structure and node elimination strategy in the simulation script are optimized to fit better with the hardware structure of FRTDS. A substation is simulated in FRTDS to verify the correctness of the component-oriented modeling method and its ability to improve computational power.
Article
Engineering, Environmental
M. Zilio, V Orzi, M. E. Chiodini, C. Riva, M. Acutis, G. Boccasile, F. Adani
Article
Soil Science
Elena Valkama, Gulya Kunypiyaeva, Rauan Zhapayev, Muratbek Karabayev, Erbol Zhusupbekov, Alessia Perego, Calogero Schillaci, Dario Sacco, Barbara Moretti, Carlo Grignani, Marco Acutis
Article
Environmental Sciences
Calogero Schillaci, Alessia Perego, Elena Valkama, Michael Marker, Sergio Saia, Fabio Veronesi, Aldo Lipani, Luigi Lombardo, Tommaso Tadiello, Hannes A. Gamper, Luigi Tedone, Cami Moss, Elena Pareja-Serrano, Gabriele Amato, Kersten Kuehl, Claudia Damatirca, Alessia Cogato, Nada Mzid, Rasu Eeswaran, Marya Rabelo, Giorgio Sperandio, Alberto Bosino, Margherita Bufalini, Tulay Tuncay, Jianqi Ding, Marco Fiorentini, Guadalupe Tiscornia, Sarah Conradt, Marco Botta, Marco Acutis
Summary: In this study, a suitable pedotransfer function (PTF) for bulk density (BD) estimation of arable land in the Mediterranean Basin was developed using climatic, topographic, soil texture, and organic carbon data. The newly developed Artificial Neural Network (ANN) PTF outperformed other traditional methods for estimating BD, showing better performance in training, validation, and transferability to external datasets.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Keith B. Matthews, Ansel Renner, Kirsty L. Blackstock, Kerry A. Waylen, Dave G. Miller, Doug H. Wardell-Johnson, Alba Juarez-Bourke, Juan Cadillo-Benalcazar, Joep F. Schyns, Mario Giampietro
Summary: The paper presents insights from conducting a pan-EU sustainability assessment using FADN data and SMA processes, focusing on the interactions between crop and livestock systems and the resulting impacts and challenges on the environment and other aspects.
Article
Green & Sustainable Science & Technology
Calogero Schillaci, Tommaso Tadiello, Marco Acutis, Alessia Perego
Summary: Proximal sensing technology shows potential in precision fertilization and crop growth monitoring, with variable rate nitrogen distribution calculated by proximal sensors showing economic benefits over fixed rate applications in maize yield experiments.
Article
Environmental Sciences
Calogero Schillaci, Sergio Saia, Aldo Lipani, Alessia Perego, Claudio Zaccone, Marco Acutis
Summary: This study found that there was no significant difference in soil organic carbon concentration in the SICILY region from 2008 to 2017. Only 40% of resampled sites showed a higher SOC concentration than in 2017, suggesting that soil resampling is necessary when using legacy data to estimate SOC concentration dynamics to overcome model errors.
CARBON BALANCE AND MANAGEMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Marco Acutis, Tommaso Tadiello, Alessia Perego, Andrea Di Guardo, Calogero Schillaci, Elena Valkama
Summary: This study developed a new Excel tool for extracting standard deviations from ANOVA and MCT results to facilitate the correct execution of statistical techniques like Meta-analysis. The tool includes four methods for extraction, applicable to various experimental designs, and its performance was tested in a case study.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Agronomy
Angela Puig-Sirera, Marco Acutis, Marialaura Bancheri, Antonello Bonfante, Marco Botta, Roberto De Mascellis, Nadia Orefice, Alessia Perego, Mario Russo, Anna Tedeschi, Antonio Troccoli, Angelo Basile
Summary: This study uses the ARMOSA model to assess the effects of tillage and no-tillage practices on durum-wheat-cropping systems. The results show that no-tillage can increase wheat yield, increase soil organic carbon, and reduce nitrogen leaching, suggesting that it is a more resilient soil-management practice.
Article
Soil Science
Tommaso Tadiello, Marco Acutis, Alessia Perego, Calogero Schillaci, Elena Valkama
Summary: Conservation agriculture (CA) is an agronomic system that emphasizes minimum soil disturbance, permanent soil cover, and species diversification. A meta-analysis of 47 studies worldwide revealed that CA can significantly increase soil organic carbon (SOC) accumulation, particularly in vulnerable regions such as Mediterranean and humid subtropical climates. Various factors, including soil characteristics, agricultural management, climate, and geography, influence the effectiveness of CA on SOC accumulation.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Marcello Ermido Chiodini, Michele Costantini, Michele Zoli, Jacopo Bacenetti, Daniele Aspesi, Lorenzo Poggianella, Marco Acutis
Summary: This study conducted a real-scale trial at a commercial dairy farm to test the effectiveness of the commercial additive SOP LAGOON in reducing carbon-based greenhouse gas emissions from liquid manure. The results showed that after 3 to 4 months of additive application, the treated storage tank emitted significantly lower levels of methane and carbon dioxide compared to the untreated tank (-80% for CH4 and -75% for CO2). SOP LAGOON proved to be an effective additive in mitigating global methane emissions from stored liquid manure.
Article
Environmental Sciences
Maria Raffaella Vuolo, Marco Acutis, Bhishma Tyagi, Gabriele Boccasile, Alessia Perego, Simone Pelissetti
Summary: The study compared two different application techniques for odour emissions and evaluated the effect of a barrier downwind from the source. The results showed that the direct injection technique was more effective in reducing odour emissions.
Article
Green & Sustainable Science & Technology
Marialaura Bancheri, Angelo Basile, Marco Botta, Giuliano Langella, Federica Cavaliere, Antonello Bonfante, Giuliano Ferraro, Marco Acutis, Alessia Perego
Summary: This article introduces a new web-based tool, the Nitrate Fate tool (NFt), for evaluating groundwater vulnerability to nitrate pollution under different climatic conditions. The tool combines a crop-growth model and a transfer function model to assess nitrate transport and provides visual results on a geospatial decision support system platform. Case studies in the Campania region of Italy demonstrate significant groundwater vulnerability. The tool offers a reproducible and applicable solution for studies in other regions worldwide.
Article
Multidisciplinary Sciences
Tommaso Tadiello, Alessia Perego, Elena Valkama, Calogero Schillaci, Marco Acutis
Summary: To assess carbon sequestration in agricultural and natural systems, it is necessary to report and compute soil organic carbon (SOC) stock and its standard deviation (SD). This can be done by considering the correlation between SOC concentration and bulk density (BD) and taking into account the correlation between adjacent and non-adjacent soil sub-layers when calculating the SD of a single soil layer.
Article
Soil Science
Andrea Fiorini, Roberta Boselli, Stefania Codruta Maris, Stefano Santelli, Alessia Perego, Marco Acutis, Stefano Brenna, Vincenzo Tabaglio
APPLIED SOIL ECOLOGY
(2020)
Article
Environmental Studies
K. B. Matthews, Doug Wardell-Johnson, Dave Miller, Nuala Fitton, Ed Jones, Stephen Bathgate, Tim Randle, Robin Matthews, Pete Smith, Mike Perks