Article
Multidisciplinary Sciences
Connor R. Forsythe, Kenneth T. Gillingham, Jeremy J. Michalek, Kate S. Whitefoot
Summary: Electric vehicle sales have been growing rapidly worldwide, and this study investigates the reasons behind this trend. It finds that technological improvements have played a significant role, as consumers are willing to pay more for features like improved operating costs, acceleration, and fast-charging capabilities in battery electric vehicles (BEVs). Forecasts also suggest that by 2030, consumer valuation of many BEVs may exceed their gasoline counterparts, potentially leading to a majority of new car and sport-utility vehicle choices being electric.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Clinical Neurology
S. K. Simblett, M. Pennington, M. Quaife, S. Siddi, F. Lombardini, J. M. Haro, M. T. Penarrubia-Maria, S. Bruce, R. Nica, S. Zorbas, A. Polhemus, J. Novak, E. Dawe-Lane, D. Morris, M. Mutepua, C. Odoi, E. Wilson, F. Matcham, K. M. White, M. Hotopfjk, T. Wykes
Summary: This study explores the preferences for adoption of mobile technologies among individuals with a history of depression. The findings suggest that accurate symptom detection is the most important factor for these individuals, followed by privacy and clinical support. However, there are some individuals who are willing to compromise on accuracy in order to gain more privacy and clinical support.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Development Studies
Hery Toiba, Arif Yustian Maulana Noor, Moh Shadiqur Rahman, Fitria Dina Riana
Summary: Contract farming schemes are crucial for farmers, but many quit due to the lack of consideration for their preferences. This study analyzes farmers' preferences for organic rice contract farming schemes, providing management implications for maintaining existing farmers and information on key contract characteristics for attracting new farmers.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2023)
Article
Economics
Siwon Choi, Kyuil Kwak, Soyoung Yang, Sesil Lim, JongRoul Woo
Summary: This study designs a consumers' choice model for buying a scooter in Jakarta, Indonesia, and simulates the effects of two supportive policies to expand electric two-wheelers. The results show that people in Jakarta highly prefer electric scooters and consider their environmental impacts. The study suggests the need for comprehensive policy packages to successfully deploy electric two-wheelers in Jakarta.
ECONOMIC ANALYSIS AND POLICY
(2022)
Article
Energy & Fuels
Keumju Lim, Jongsu Lee, Hyunjoo Lee
Summary: Energy consumers in South Korea have heterogeneous preferences for residential DR programs, with a strong emphasis on reducing monthly electricity bills. The study estimates that approximately 60.0% of metropolitan consumers in South Korea would participate in a residential DR program, resulting in a forecasted reduction in peak load of approximately 1.74 GW.
Article
Business
Jinyang Cai, Yiming Chen, Ruifa Hu, Mingyin Wu, Zhiyang Shen
Summary: This study investigated the impact of farmer field schools (FFS) on promoting the adoption of environment friendly irrigation and fertilization technologies. The results showed that FFS training significantly increased the adoption rate of these technologies, which could contribute to solving the problems of water shortage and nitrate leaching.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Environmental Sciences
Ifedotun Victor Aina, Djiby Racine Thiam, Ariel Dinar
Summary: Given the deteriorating effects of climate change on rainfall patterns, global temperature, and evaporation, drought severity is expected to increase in South Africa. This study examines household preference heterogeneity for water-saving technologies in urban Cape Town, South Africa, and identifies four preference classes based on taste heterogeneity. The findings have important policy implications for water-stressed cities in South Africa and elsewhere.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Agriculture, Dairy & Animal Science
Ruiqi Chen, Yingxin Zeng, Zhile Deng, Hongfu Liu, Manyi Chen, Yaoming Liang
Summary: This study found that households in China have significant preferences for dog rabies vaccination services. The households can be classified into three types: resolute executors, mischievous rebels, and incentivized compliers. Residence, presence of children in the household, perception of safety risks, and knowledge of rabies may contribute to this heterogeneity. Recommendations include providing supportive services such as weekend vaccination, mobile stations, and home vaccination, as well as increasing vaccine supply through various channels. Increasing awareness and implementing dog management innovation can further enhance rabies prevention and control.
Article
Agriculture, Multidisciplinary
Guang Han, Meredith T. Niles
Summary: This study explores the complexity of farmer adoption of best management practices by developing a framework that considers adoption across multiple components. Through latent class analysis, several types of adopters are identified, challenging existing innovation theories. The factors influencing farmers' adoption classification are further examined using multinomial logit models.
AGRICULTURAL SYSTEMS
(2023)
Review
Social Issues
Hazem Yusuf Osrof, Cheng Ling Tan, Gunasekaran Angappa, Sook Fern Yeo, Kim Hua Tan
Summary: This paper provides a comprehensive overview of the adoption of smart farming technologies (SFTs) by synthesizing findings from 182 empirical studies. It highlights the main theories, characteristics, contexts, and methods related to SFT adoption and presents a state-of-the-art integrative framework of the main drivers and barriers.
TECHNOLOGY IN SOCIETY
(2023)
Article
Green & Sustainable Science & Technology
Yunlong Sui, Qiang Gao
Summary: The objective of this paper is to investigate the impact of farmers' endowments and technology perceptions on their adoption behaviors of green production technologies. Through a survey of 471 grain farmers in Shandong Province, the Heckman model was employed to empirically analyze the influence of farmers' endowments on green production technology adoption, and the moderating effect of technology perception was further examined. The study found that farmers' endowments have a significant positive effect on their adoption behaviors, and technology cognition can effectively promote the positive effect of farmers' endowments on technology adoption.
Article
Thermodynamics
Haixia Wu, Yan Ge, Jianping Li
Summary: This paper examines the impact of uncertainty and time preference on the adoption of rooftop photovoltaic technology in rural China. The findings suggest that risk aversion, ambiguity aversion, and time preference all positively influence the likelihood of technology adoption. Furthermore, time preference plays a crucial moderating role in the relationship between uncertainty preference and technology adoption. This research provides insights and policy recommendations for promoting household rooftop photovoltaic technology in rural areas.
Article
Clinical Neurology
George Dranitsaris, Quanwu Zhang, Lin Mu, Christopher Weyrer, Erik Drysdale, Peter Neumann, Alireza Atri, Amir Abbas Tahami Monfared
Summary: This study assessed the key attributes of Alzheimer's disease therapies using a discrete choice experiment and compared the preferences between caregivers and neurologists. The study found that clinical effects and ARIA-E were highly important determinants of therapeutic choice, while variation in clinical effects and treatment duration were less important.
ALZHEIMERS RESEARCH & THERAPY
(2023)
Article
Agronomy
Giacomo Giannoccaro, Luigi Roselli, Ruggiero Sardaro, Bernardo C. de Gennaro
Summary: This study proposes a novel agri-environmental payment scheme aimed at saving irrigation water, with findings showing that farmers are willing to respond to such a scheme to save water. The study suggests that factors such as farm crop specialization and groundwater salinity map have significant impacts on farmers' choices.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Development Studies
Michael Poku-Boansi, Nathan Tetteh, Kwasi Kwafo Adarkwa
Summary: With increasing demand for housing worldwide, rental housing is becoming a popular choice to meet the supply deficit. A study conducted in Koforidua, Ghana, using a discrete choice experimental approach, found that factors such as location outskirts, rent payment modality of two years' advance, electricity availability, access road quality, and monthly rent payable significantly influence housing renters' preferences. The study also revealed variations in preferences based on renters' age, gender, vehicle ownership, and employment status. Recommendations included improving access routes within built-up areas, promoting alternative energy sources, and enhancing neighborhood road infrastructure for sustainable rental housing provision.
HABITAT INTERNATIONAL
(2023)
Review
Food Science & Technology
Carolien Buve, Wouter Saeys, Morten Arendt Rasmussen, Bram Neckebroeck, Marc Hendrickx, Tara Grauwet, Ann Van Loey
Summary: This paper highlights the importance of multivariate data analysis (MVDA) in food quality investigations, presenting methods such as PCA, PLS, PARAFAC, and ASCA. PCA is recommended for data exploration, PLS for predictive purposes, ASCA for considering design factors, and PARAFAC for multi-way data exploration. Further exploration of these methods is needed to understand the complex interplay of compounds and reactions contributing to food quality.
FOOD RESEARCH INTERNATIONAL
(2022)
Article
Agricultural Engineering
Jorre Goossens, Bart Lenaerts, Steven Devos, Konstantinos Gryllias, Bart De Ketelaere, Wouter Saeys
Summary: Driven by increasing food demand and the urgent need for intelligent land use, the size and complexity of agricultural machinery has increased significantly. Automatic condition monitoring systems can lighten the load for operators and pave the way for fully autonomous machines. This paper proposes a system based on cyclostationary analysis techniques to detect operation anomalies on agricultural machine components and highlights the importance of intelligent sensor selection for condition monitoring purposes.
BIOSYSTEMS ENGINEERING
(2023)
Article
Biochemical Research Methods
Manju Joseph, Lorenz Van Hileghem, Annelies Postelmans, Jeroen Lammertyn, Wouter Saeys
Summary: This paper presents porous PDMS optical phantoms with tunable microstructural and optical properties to mimic porous biological tissues. The phantoms were obtained by using a well connected salt network with salt particles of various size distributions. The microstructural features of the phantoms are strongly related to the light scattering, and the prepared phantoms were used to validate GASMAS H2O and O-2 sensors.
JOURNAL OF BIOPHOTONICS
(2023)
Article
Agricultural Engineering
S. T. Babak Alizadeh, Tom Leblicq, Wouter Saeys
Summary: The aerodynamic properties of chopped ryegrass particles were investigated, and it was found that these properties are influenced by the mass, projected area, and moisture content of the particles. The terminal velocity of leaf blades was found to be lower (1.75 m/s) compared to stems (4.44 m/s). Additionally, it was observed that leaf blades had higher drag coefficients compared to stems. Moisture content did not significantly affect the drag coefficient of the grass particles.
BIOSYSTEMS ENGINEERING
(2023)
Article
Agricultural Engineering
Chanjun Sun, Ben Aernouts, Wouter Saeys
Summary: This study investigated the structural changes between healthy and puffy Satsuma mandarins and explored the potential of using optical methods for disorder detection. It was found that there were no consistent differences in the appearance of the fruits, but the puffy mandarins had higher soluble solids content and Brix minus acid values compared to healthy fruits. The structural properties of the flavedo and albedo tissue layer in the peel were quantified using X-ray CT scans, and the distinction between healthy and puffy mandarins based on ms' was validated using laser scatter images.
BIOSYSTEMS ENGINEERING
(2023)
Article
Biochemistry & Molecular Biology
Elisa Driesen, Wouter Saeys, Maurice De Proft, Arthur Lauwers, Wim van den Ende
Summary: Photosynthetic active radiation (PAR) refers to photons between 400 and 700 nm, which drive photosynthesis and provide carbohydrates for plant metabolism and development. Far-red radiation (FR, 701-750 nm) is not included in PAR, but including FR in the light spectrum can enhance biomass production and resource-use efficiency.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Plant Sciences
Moges A. Retta, Xinyou Yin, Quang Tri Ho, Rodrigo Watte, Herman N. C. Berghuijs, Pieter Verboven, Wouter Saeys, Francisco Javier Cano, Oula Ghannoum, Paul C. Struik, Bart M. Nicolai
Summary: A novel 3D reaction-diffusion model revealed that movement of mesophyll chloroplasts in C-4 plants increased photosynthesis rate but also increased leakiness. A 3D leaf model was developed to investigate how chloroplast movement affects the CO2 concentrating mechanism. Results showed that movement of chloroplasts towards bundle sheath cells increased light absorption, while avoidance movement decreased it. ATP, NADPH production, and net photosynthetic rate increased for aggregative movement and decreased for avoidance movement. Leakiness increased in both scenarios due to energy imbalance.
JOURNAL OF EXPERIMENTAL BOTANY
(2023)
Article
Engineering, Chemical
Manju Joseph, Annelies Postelmans, Wouter Saeys
Summary: This study analyzed the optical properties of different parts of three pear cultivars and the light transmittance of intact pears. The findings are important for optimizing fruit monitoring using spectroscopy methods.
JOURNAL OF FOOD ENGINEERING
(2023)
Article
Plant Sciences
Elisa Driesen, Maurice De Proft, Wouter Saeys
Summary: The physiological control of stomatal opening by which plants adjust for water availability has been extensively researched, but the impact of water availability on stomatal development, especially for amphistomatic plants, has not received as much attention. Therefore, we investigated the acclimation of stomatal development in basil leaves under water-deficit conditions. Our results show that leaves developed under water-deficit conditions possess higher stomatal densities and decreased stomatal length for both the adaxial and abaxial leaf sides. Stomatal development serves as a tool for long-term acclimation to limit water loss, with minimal reduction in biomass production, highlighting the central role that stomata play in plants' reaction to water availability.
HORTICULTURE RESEARCH
(2023)
Article
Food Science & Technology
Bart De Ketelaere, Matthias Corion, Ines Adriaens, Paul Van Liedekerke, Wouter Saeys
Summary: A fast and low-cost method for the non-destructive determination of eggshell strength was presented in this study. The method used a small steel ball to impact the egg and a microphone to analyze the impact characteristics, and applied Hertz contact theory to relate the measured impact characteristics to the local stiffness of the eggshell. The results showed a strong correlation of 0.93 between the traditional static stiffness measured during quasi-static compression tests and the average stiffness obtained from the new methodology. This paves the way for fast, low-cost, and non-destructive in-line shell strength measurements to reduce the number of cracked eggs reaching the consumer.
Article
Food Science & Technology
Bart De Ketelaere, Matthias Corion, Ines Adriaens, Paul Van Liedekerke, Wouter Saeys
Summary: This study presents a new method based on Hertz contact theory for non-destructively determining eggshell strength. The goal was to evaluate the material and structural strength of eggshells by measuring the collision of an eggshell with a small steel ball using a laser vibrometer. The study found a correlation of 0.85 between the traditional static stiffness and the stiffness obtained from the Hertz contact theory.
Article
Automation & Control Systems
Valeria Fonseca Diaz, Ben Aernouts, Els Bobelyn, Bart Nicolai, Wouter Saeys
Summary: Multivariate calibration models are commonly used in analytical chemistry for non-destructive quantification of constituents. While training calibration models is well-established, monitoring strategies for their prediction performance over time are still limited. This study addresses the problem of monitoring calibration models and proposes two methods focusing on bias drift and spectral variation drift. Real case studies involving milk composition and apple harvesting are used to demonstrate the application of these methods. Conclusions, recommendations, and future research directions are provided.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Agronomy
Jeremie Haumont, Jan Diels, Eddie Schrevens, Simon Cool, Peter Lootens, Wouter Saeys
Summary: Some regions monitor the leaching of residual soil nitrate during winter months to persuade farmers to adopt better fertilization practices and reduce nitrate pollution. However, the reduction of nitrate concentration in surface and groundwater is limited, especially in areas with intensive vegetable production. This study used simulation with historical weather data to evaluate localized fertilizer placement, soil-based fertilization, recommendations, and nitrate monitoring policies. The results showed that soil-based advisory systems can reduce nitrate leaching and residual soil nitrate while maintaining similar biomass production levels, but the fertilization advice was still too high in most cases to meet legal limits.
EUROPEAN JOURNAL OF AGRONOMY
(2023)
Article
Multidisciplinary Sciences
Jose A. Diaz-Olivares, Arnout van Nuenen, Martin J. Gote, Valeria Fonseca Diaz, Wouter Saeys, Ines Adriaens, Ben Aernouts
Summary: Monitoring milk composition is crucial for identifying the health status of cows and ensuring the quality of dairy products. Traditional methods using chemical or laboratory analyses are expensive and time-consuming, while modern technology using nondestructive near-infrared spectroscopy allows for real-time monitoring on farms.
Article
Agronomy
Astrid Tempelaere, Bart De Ketelaere, Jiaqi He, Ioannis Kalfas, Michiel Pieters, Wouter Saeys, Remi Van Belleghem, Leen Van Doorselaer, Pieter Verboven, Bart M. Nicolai
Summary: This article introduces recent developments in artificial intelligence for extracting information on postharvest disorders from complex image data obtained by modern imaging systems. Machine vision inspection using RGB imaging and advanced techniques such as spectral cameras, X-ray, and MRI is increasingly used in the postharvest industry to nondestructively analyze disorders in horticultural products. However, challenges in the design of deep learning models, such as the need for large quantities of labeled data, model explainability, and generalizability, need to be addressed.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2023)
