Article
Biochemical Research Methods
Ruoyu Tang, Xinyu He, Ruiqi Wang
Summary: The study presents a general computational method for constructing maps between different cell fates and parametric conditions by systematic perturbations. The method does not require accurate parameter measurements or bifurcations. The maps obtained can help in understanding how systematic perturbations drive cell fate decisions and transitions, providing valuable information for predicting and controlling cell states.
Article
Chemistry, Applied
Zhang Jianxin, Zhang Kangping, Huang Xuejiao
Summary: In this article, a method based on multi-pathlength spectroscopy was proposed to improve the test performance for wide dye concentration. The results showed that introducing spectra at the 5 mm pathlength generally promoted the test performance for all three dyestuffs. Based on the results of single-component experiment, 10 and 5 mm pathlengths were eventually decided as the detection pathlengths for three-component solutions.
COLORATION TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Abdullah Kaid Al-Swidi, Hamid Mahmood Gelaidan, Redhwan Mohammed Saleh
Summary: This study investigates the determinants and outcomes of green organizational culture and employees' green behavior, confirming the effects of environmental concern, green human resource management, and green leadership behavior on green organizational culture. The study also shows that green organizational culture mediates the relationship between environmental concern, green human resource management, green leadership behavior, and employees' green behavior.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Industrial Relations & Labor
Gabriel C. W. Gim, Say Keat Ooi, Siau Teng Teoh, Hui Ling Lim, Jasmine A. L. Yeap
Summary: This study examines the importance of sustainable development on green human resource management, as well as the impact of leader-member exchange and core self-evaluations on employee work engagement. Results indicate that green human resource management and leader-member exchange positively influence HRM performance attributions, leading to higher levels of employee work engagement.
INTERNATIONAL JOURNAL OF MANPOWER
(2022)
Article
Multidisciplinary Sciences
Emilio Gomez-Gonzalez, Alejandro Barriga-Rivera, Beatriz Fernandez-Munoz, Jose Manuel Navas-Garcia, Isabel Fernandez-Lizaranzu, Francisco Javier Munoz-Gonzalez, Ruben Parrilla-Giraldez, Desiree Requena-Lancharro, Pedro Gil-Gamboa, Cristina Rosell-Valle, Carmen Gomez-Gonzalez, Maria Jose Mayorga-Buiza, Maria Martin-Lopez, Olga Munoz, Juan Carlos Gomez-Martin, Maria Isabel Relimpio-Lopez, Jesus Aceituno-Castro, Manuel A. Perales-Esteve, Antonio Puppo-Moreno, Francisco Jose Garcia-Cozar, Lucia Olvera-Collantes, Raquel Gomez-Diaz, Silvia de los Santos-Trigo, Monserrat Huguet-Carrasco, Manuel Rey, Emilia Gomez, Rosario Sanchez-Pernaute, Javier Padillo-Ruiz, Javier Marquez-Rivas
Summary: This study demonstrates the feasibility of using hyperspectral image analysis in the visible and near-infrared range for primary screening of SARS-CoV-2. By applying spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence, information can be extracted from fluid samples and analyzed quantitatively and descriptively. The proposed technology is reagent-free, fast, scalable, and could significantly reduce the number of molecular tests required for COVID-19 mass screening, even in resource-limited settings.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Freeh N. Alenezi
Summary: The study introduces a method for variable selection in high dimensional data modeling, using majority scoring with backward elimination in PLS to improve prediction accuracy. The method performs well in predicting corn and diesel contents, while also examining the impact of data properties on prediction behavior.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Sciences
Everson Cezar, Tatiane Amancio Alberton, Evandro Freire Lemos, Karym Mayara de Oliveira, Liang Sun, Luis Guilherme Teixeira Crusiol, Marlon Rodrigues, Amanda Silveira Reis, Marcos Rafael Nanni
Summary: The quantification of soil organic matter (SOM) has been increasing in the Brazilian Cerrado region, where SOM content tends to be low. This study evaluated the performance of a local spectral model for SOM prediction using spectroradiometry. The results showed that recalibration of the local models improved the prediction accuracy, but further research is needed to improve the identification of SOM spatial variability.
Article
Chemistry, Analytical
Marina Antonio, Renato L. Carneiro, Ruben M. Maggio
Summary: This study evaluated the feasibility of using middle- and near-infrared spectroscopy, as well as Raman spectroscopy, coupled with multivariate calibration to quantify MLXForm I in commercial raw material. The results showed that NIR-PLS had the best predictive capacity.
MICROCHEMICAL JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Lavi Rizki Zuhal, Ghifari Adam Faza, Pramudita Satria Palar, Rhea Patricia Liem
Summary: This paper aims to assess the potential of Kriging combined with partial least squares (KPLS) for fast uncertainty quantification and sensitivity analysis in high-dimensional problems. Results show that KPLS with four principal components is significantly faster than the ordinary Kriging while yielding comparable accuracy in approximating the statistical moments and Sobol indices.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Environmental Sciences
Onuwa Okwuashi, Christopher E. Ndehedehe, Dupe Nihinlola Olayinka
Summary: This research explores the novel application of Tensor Partial Least Squares (TPLS) for hyperspectral image classification. The results show that TPLS performed better than unfolded PLS, but fell short of traditional classifiers.
GEOCARTO INTERNATIONAL
(2022)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Limin Li, Xiaojing Chen
Summary: In this study, a new robust PLS method called partial least median of squares (PLMS) regression is proposed by incorporating the idea of least median of squares. Unlike most existing robust methods, the PLMS problem is solved using modern optimization techniques rather than heuristic processes or reweighting strategies. Comparisons are made with a classical PLS method and two efficient robust PLS methods, demonstrating the effectiveness and robustness of the proposed approach through simulations and real-world data sets.
JOURNAL OF CHEMOMETRICS
(2022)
Article
Optics
Giovanni Gibertoni, Nicola Lenzini, Luca Ferrari, Luigi Rovati
Summary: Near-infrared spectroscopy (NIRS) is widely used for fruit and vegetable quality evaluations, especially for moisture content determination. However, in-field measurements present challenges. In this study, we propose and demonstrate a prototype NIRS-based system for moisture content measurement, which was evaluated in both laboratory and field environments. Through preliminary testing, we have shown that our system can accurately estimate the moisture content of alfalfa.
Article
Industrial Relations & Labor
Dmitri Sokolov, Elena Zavyalova
Summary: This study examines the relationships between HRM practices and intellectual capital, highlighting the positive impact of HRM practices on firms' human, social, and structural capital. The study also explores the role of knowledge management strategies in moderating these relationships, emphasizing the complexity of the contingent effects. Although some relationships were not significantly influenced by the firm's knowledge management strategy, it underscores the importance of considering different factors in understanding the HRM-intellectual capital relationship.
INTERNATIONAL JOURNAL OF MANPOWER
(2021)
Review
Computer Science, Information Systems
Ayaz Ali Khan, Muhammad Zakarya
Summary: This paper discusses the impact of virtualization and containerization technologies on energy consumption, performance, and cost issues in large-scale data centres, highlighting the feasibility of energy saving and performance efficiency, and proposing energy and performance management methods at different levels.
COMPUTER SCIENCE REVIEW
(2021)
Article
Engineering, Industrial
Mike Bourne, Monica Franco-Santos, Pietro Micheli, Andrey Pavlov
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2018)
Review
Business
Pietro Micheli, Sarah J. S. Wilner, Sabeen Hussain Bhatti, Matteo Mura, Michael B. Beverland
JOURNAL OF PRODUCT INNOVATION MANAGEMENT
(2019)
Article
Green & Sustainable Science & Technology
Matteo Mura, Mariolina Longo, Ana Rita Domingues, Sara Zanni
Article
Engineering, Industrial
Terry Williams, Hang Vo, Mike Bourne, Pippa Bourne, Terry Cooke-Davies, Richard Kirkham, Gordon Masterton, Paolo Quattrone, Jason Valette
PRODUCTION PLANNING & CONTROL
(2020)
Article
Green & Sustainable Science & Technology
Matteo Mura, Mariolina Longo, Sara Zanni
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Management
Andrea Bellisario, Andrey Pavlov, Martijn Pieter van der Steen
Summary: This study explores how performance measurement drives the implementation of a new strategy in a large beer manufacturer in Italy, suggesting that internal alignment is an ongoing interpretative process sustained by performance measurement. Performance measurement plays a central role in establishing and maintaining internal alignment by providing interpretive support.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2021)
Article
Management
Andrey Pavlov, Pietro Micheli
Summary: This paper proposes a new paradigm for organizational performance management based on complexity theory, which is more suitable for complex and dynamic environments. By considering organizations as complex systems and performance as an emergent property, it offers new research questions and implications for both academic research and managerial practice.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2023)
Article
Business
Peter D. Kerr, Monica Franco-Santos
Summary: This study investigates the relationship between performance measurement choices and selling behavior, finding that sales management can encourage pro-customer behavior by using a diverse performance measurement schema. This is particularly important in transactional selling environments.
INDUSTRIAL MARKETING MANAGEMENT
(2023)
Article
Management
Daniele Tumidei, Constantinos Alexiou, Michael Bourne
Summary: In this article, the two distinct planning approaches of strategic choice and determinism in strategic management are discussed. By analyzing different philosophical perspectives on human agency, empirical evidence is provided to support their real-life existence. This strategic framework not only reduces theoretical fragmentation, but also establishes a connection between the philosophical debate on free will/determinism and strategic management, helping to reduce uncertainty in planning.
REVIEW OF MANAGERIAL SCIENCE
(2021)
Article
Business
Michael Bourne, David Anker, Glen Chambers, Laszlo Torjai
MEASURING BUSINESS EXCELLENCE
(2020)
Article
Management
Daniela Carlucci, Matteo Mura, Giovanni Schiuma
INTERNATIONAL JOURNAL OF INNOVATION MANAGEMENT
(2020)
Article
Engineering, Industrial
Mike Bourne, Matteo Mura
PRODUCTION PLANNING & CONTROL
(2018)
Article
Business
Matteo Mura, Mariolina Longo, Pietro Micheli, Daniela Bolzani
INTERNATIONAL JOURNAL OF MANAGEMENT REVIEWS
(2018)
Review
Business
Monica Franco-Santos, David Otley
INTERNATIONAL JOURNAL OF MANAGEMENT REVIEWS
(2018)
