Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (40)

Search Parameters:
Keywords = ordination platform

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
32 pages, 2072 KiB  
Article
Airline Ranking Using Social Feedback and Adapted Fuzzy Belief TOPSIS
by Ewa Roszkowska and Marzena Filipowicz-Chomko
Entropy 2025, 27(8), 879; https://doi.org/10.3390/e27080879 - 19 Aug 2025
Viewed by 177
Abstract
In the era of digital interconnectivity, user-generated reviews on platforms such as TripAdvisor have become a valuable source of social feedback, reflecting collective experiences and perceptions of airline services. However, aggregating such feedback presents several challenges: evaluations are typically expressed using linguistic ordinal [...] Read more.
In the era of digital interconnectivity, user-generated reviews on platforms such as TripAdvisor have become a valuable source of social feedback, reflecting collective experiences and perceptions of airline services. However, aggregating such feedback presents several challenges: evaluations are typically expressed using linguistic ordinal scales, are subjective, often incomplete, and influenced by opinion dynamics within social networks. To effectively deal with these complexities and extract meaningful insights, this study proposes an information-driven decision-making framework that integrates Fuzzy Belief Structures with the TOPSIS method. To handle the uncertainty and imprecision of linguistic ratings, user opinions are modeled as fuzzy belief distributions over satisfaction levels. Rankings are then derived using TOPSIS by comparing each airline’s aggregated profile to ideal satisfaction benchmarks via a belief-based distance measure. This framework presents a novel solution for measuring synthetic satisfaction in complex social feedback systems, thereby contributing to the understanding of information flow, belief aggregation, and emergent order in digital opinion networks. The methodology is demonstrated using a real-world dataset of TripAdvisor airline reviews, providing a robust and interpretable benchmark for service quality. Moreover, this study applies Shannon entropy to classify and interpret the consistency of customer satisfaction ratings among Star Alliance airlines. The results confirm the stability of the Airline Satisfaction Index (ASI), with extremely high correlations among the five rankings generated using different fuzzy utility function models. The methodology reveals that airlines such as Singapore Airlines, ANA, EVA Air, and Air New Zealand consistently achieve high satisfaction scores across all fuzzy model configurations, highlighting their strong and stable performance regardless of model variation. These airlines also show both low entropy and high average scores, confirming their consistent excellence. Full article
(This article belongs to the Special Issue Dynamics in Biological and Social Networks)
Show Figures

Figure 1

18 pages, 847 KiB  
Article
Modeling Public Transportation Use Among Short-Term Rental Guests in Madrid
by Daniel Gálvez-Pérez, Begoña Guirao and Armando Ortuño
Appl. Sci. 2025, 15(14), 7828; https://doi.org/10.3390/app15147828 - 12 Jul 2025
Viewed by 458
Abstract
Urban tourism has experienced significant growth driven by platforms such as Airbnb, yet the relationship between short-term rental (STR) location and guest mobility remains underexplored. In this study, a structured survey of STR guests in Madrid during 2024 was administered face-to-face through property [...] Read more.
Urban tourism has experienced significant growth driven by platforms such as Airbnb, yet the relationship between short-term rental (STR) location and guest mobility remains underexplored. In this study, a structured survey of STR guests in Madrid during 2024 was administered face-to-face through property managers and luggage-storage services to examine factors influencing public transport (PT) use. Responses on bus and metro usage were combined into a three-level ordinal variable and modeled using ordered logistic regression against tourist demographics, trip characteristics, and accommodation attributes, including geocoded location zones. The results indicate that first-time and international visitors are less likely to use PT at high levels, while tourists visiting more points of interest and those who rated PT importance highly when choosing accommodation are significantly more frequent users. Accommodation in the central almond or periphery correlates positively with higher PT use compared to the city center. Distances to transit stops were not significant predictors, reflecting overall network accessibility. These findings suggest that enhancing PT connectivity in peripheral areas could support the spatial dispersion of tourism benefits and improve sustainable mobility for STR guests. Full article
Show Figures

Figure 1

21 pages, 3617 KiB  
Article
Numerical and Experimental Study of Enhanced Heat Dissipation Performance of Graphene-Coated Heating Cables
by Zhenzhen Chen, Chenchen Xu, Feilong Zhang and Tao Sun
Coatings 2025, 15(7), 777; https://doi.org/10.3390/coatings15070777 - 30 Jun 2025
Viewed by 403
Abstract
Low-temperature radiant heating systems utilizing heating cables face challenges including low heat dissipation efficiency and high energy consumption, hindering widespread application. Graphene coatings, characterized by high thermal conductivity and far-infrared radiation properties, offer a novel approach to enhance cable heat dissipation efficiency. This [...] Read more.
Low-temperature radiant heating systems utilizing heating cables face challenges including low heat dissipation efficiency and high energy consumption, hindering widespread application. Graphene coatings, characterized by high thermal conductivity and far-infrared radiation properties, offer a novel approach to enhance cable heat dissipation efficiency. This study systematically investigates the effects of coating position, thickness, and ambient temperature on cable heat dissipation using numerical simulations and experiments. A three-dimensional heat transfer model of the heating cable was established using Fluent software (2022R1). The radiation heat transfer equation was solved using the Discrete Ordinates (DO) model, and the coating position and thickness parameters were optimized. The reliability of the simulation results was validated using a temperature-rise experimental platform. The results indicate that graphene coatings significantly improve the heat dissipation performance of cables. Under optimal parameters (coating thickness: 100 μm, coating position: aluminum fin surface, initial temperature: 5 °C), the heat flux increased by approximately 26%, aluminum fin surface temperature decreased to 41.5 °C, and experimental temperature-rise efficiency improved by nearly 50%. The discrepancy between simulated and experimental results was within 8.5%. However, when coating thickness exceeded 100 μm, interfacial thermal resistance increased, reducing heat dissipation efficiency. Additionally, higher ambient temperatures suppressed heat dissipation. These findings provide a theoretical basis for optimizing the energy efficiency of low-temperature radiant heating systems. Full article
(This article belongs to the Section Surface Characterization, Deposition and Modification)
Show Figures

Figure 1

26 pages, 25547 KiB  
Article
Estimation of Damaged Regions by the Bark Beetle in a Mexican Forest Using UAV Images and Deep Learning
by Gildardo Godinez-Garrido, Juan-Carlos Gonzalez-Islas, Angelina Gonzalez-Rosas, Mizraim U. Flores, Juan-Marcelo Miranda-Gomez and Ma. de Jesus Gutierrez-Sanchez
Sustainability 2024, 16(23), 10731; https://doi.org/10.3390/su162310731 - 6 Dec 2024
Cited by 4 | Viewed by 1334
Abstract
Sustainable forestry for the management of forest resources is more important today than ever before because keeping forests healthy has an impact on human health. Recent advances in Unmanned Aerial Vehicles (UAVs), computer vision, and Deep Learning (DL) models make remote sensing for [...] Read more.
Sustainable forestry for the management of forest resources is more important today than ever before because keeping forests healthy has an impact on human health. Recent advances in Unmanned Aerial Vehicles (UAVs), computer vision, and Deep Learning (DL) models make remote sensing for Forest Insect Pest and Disease (FIPD) possible. In this work, a UAV-based remote sensing process, computer vision, and a Deep Learning framework are used to automatically and efficiently detect and map areas damaged by bark beetles in a Mexican forest located in the Hidalgo State. First, the image dataset of the region of interest (ROI) is acquired by a UAV open hardware platform. To determine healthy trees, we use the tree crown detection prebuilt Deepforest model, and the trees diseased by pests are recognized using YOLOv5. To map the area of the damaged region, we propose a method based on morphological image operations. The system generates a comprehensive report detailing the location of affected zones, the total area of the damaged regions, GPS co-ordinates, and both healthy and damaged tree locations. The overall accuracy rates were 88% and 90%, respectively. The results obtained from a total area of 8.2743 ha revealed that 16.8% of the surface was affected and, of the 455 trees evaluated, 34.95% were damaged. These findings provide evidence of a fast and reliable tool for the early evaluation of bark beetle impact, which could be expanded to other tree and insect species. Full article
(This article belongs to the Section Sustainable Forestry)
Show Figures

Figure 1

25 pages, 3408 KiB  
Article
Non-Inertial Dynamic Analysis of 3-SPS/U Parallel Platform by Screw Theory and Kane’s Method
by Tianzhu Wang, Haifeng Yang, Qiang Zhang, Jinhui Fang, Zhenyu Lai, Ruilin Feng, Jianhua Wei and Zhanfeng Wang
Actuators 2024, 13(11), 430; https://doi.org/10.3390/act13110430 - 24 Oct 2024
Viewed by 12386
Abstract
This paper presents an improved method for the non-inertial dynamic analysis of the 3-SPS/U parallel platform (3-SPS/U PM), employing the screw theory and Kane’s method, where S, P, and U denote spherical, prismatic, and universal joints, respectively. The proposed method extends the traditional [...] Read more.
This paper presents an improved method for the non-inertial dynamic analysis of the 3-SPS/U parallel platform (3-SPS/U PM), employing the screw theory and Kane’s method, where S, P, and U denote spherical, prismatic, and universal joints, respectively. The proposed method extends the traditional inertial dynamic analysis to non-inertial systems. First, the generalized screw method is introduced, followed by the derivation of a transformation formula that adapts the screw method to various co-ordinate systems. Subsequently, the velocities and accelerations of each rigid body within the platform under non-inertial conditions are examined by combining the extended screw method with the system’s inverse kinematics model. The extended screw method is not only conceptually simple, but also adaptable to other non-inertial systems. Finally, the standard non-inertial dynamic model of the 3-SPS/U PM is derived through the Kane’s method and validated by the co-simulations with RecurDyn (V9R5) and MATLAB/Simulation (2019b). Full article
(This article belongs to the Section Control Systems)
Show Figures

Figure 1

24 pages, 7251 KiB  
Article
Assessing Heterogeneity Among Cyclists Towards Importance of Bicycle Infrastructural Elements in Urban Areas
by Tufail Ahmed, Ali Pirdavani, Geert Wets and Davy Janssens
Infrastructures 2024, 9(9), 153; https://doi.org/10.3390/infrastructures9090153 - 8 Sep 2024
Cited by 4 | Viewed by 1780
Abstract
Promoting bicycling and making it attractive requires appropriate infrastructure. Sociodemographic characteristics, frequency and experiences of bike use, and purpose of bicycle trips can affect preferences towards bicycle infrastructure facilities in urban areas. Hence, this study aims to explore the heterogeneity in the perceived [...] Read more.
Promoting bicycling and making it attractive requires appropriate infrastructure. Sociodemographic characteristics, frequency and experiences of bike use, and purpose of bicycle trips can affect preferences towards bicycle infrastructure facilities in urban areas. Hence, this study aims to explore the heterogeneity in the perceived importance of bicycle infrastructure facility attributes in various cyclist groups based on gender, age, weekly biking frequency, daily cycling distance, cycling experience, and bicycle trip purpose. Data were collected from bicycle users through a questionnaire disseminated via social media platforms and QR code brochures distributed in Hasselt, Belgium. A 5-point Likert-type ordinal scale was used to collect data on the perceived importance of bicycle infrastructure facility indicators. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to rank the indicators. At the same time, Mann–Whitney U and Kruskal–Wallis tests were utilized to verify the heterogeneity among the groups. The findings reveal that bicycle infrastructure, i.e., bicycle lanes or paths, is the most critical variable, while the slope was considered the least important. No heterogeneity was found regarding the importance of bicycle infrastructure indicators based on gender. However, heterogeneity was observed based on age, daily bicycle use, cycling experience, weekly bicycle use, and bicycle trip purpose. The findings of this research help urban and transport planners develop improvement strategies for the city’s existing bicycling facilities and prioritize future developments by considering various cyclist groups’ preferences. Full article
Show Figures

Figure 1

13 pages, 3827 KiB  
Article
Formation of Vibration Fields for a Mechatronic Platform Driven by Dual Asynchronous Motors
by Alexander L. Fradkov, Boris Andrievsky, Olga P. Tomchina and Iuliia Zaitceva
Electronics 2024, 13(16), 3165; https://doi.org/10.3390/electronics13163165 - 10 Aug 2024
Viewed by 1205
Abstract
This paper investigates the formation of vibration fields in a mechatronic setup driven by dual induction motors, relying on the controlled synchronization of unbalanced rotors. The proposed algorithm enables precise control over rotor speeds and phase shifts. Experimental results from a multi-resonance vibration [...] Read more.
This paper investigates the formation of vibration fields in a mechatronic setup driven by dual induction motors, relying on the controlled synchronization of unbalanced rotors. The proposed algorithm enables precise control over rotor speeds and phase shifts. Experimental results from a multi-resonance vibration laboratory setup demonstrate this approach’s ability to form the vibration fields. The ability to control these fields is crucial for applications such as vibratory transportation and the mixing of bulk materials. The results obtained can ensure a diverse picture of the complex trajectories of motion for various points of the platform, primarily in the screens, making various useful effects for vibration technologies. Additionally, the practical value of this research is that in the case of double synchronous mode the ordinate of the lower point of the trajectory is lower than in the case of single synchronous mode, which improves the efficiency of unloading and prevents congestion formation. The experimental data highlight the practical advantages and potential improvements in efficiency and reliability offered by this method. Full article
(This article belongs to the Special Issue Advances in Control for Permanent Magnet Synchronous Motor (PMSM))
Show Figures

Figure 1

23 pages, 3780 KiB  
Article
An Efficient Approach for Localizing Sensor Nodes in 2D Wireless Sensor Networks Using Whale Optimization-Based Naked Mole Rat Algorithm
by Goldendeep Kaur, Kiran Jyoti, Samer Shorman, Anas Ratib Alsoud and Rohit Salgotra
Mathematics 2024, 12(15), 2315; https://doi.org/10.3390/math12152315 - 24 Jul 2024
Cited by 2 | Viewed by 988
Abstract
Localization has emerged as an important and critical component of research in Wireless Sensor Networks (WSNs). WSN is a network of numerous sensors distributed across broad areas of the world to conduct numerous activities, including sensing the data and transferring it to various [...] Read more.
Localization has emerged as an important and critical component of research in Wireless Sensor Networks (WSNs). WSN is a network of numerous sensors distributed across broad areas of the world to conduct numerous activities, including sensing the data and transferring it to various devices. Most applications, like animal tracking, object monitoring, and innumerable resources put in the interior as well as outdoor locations, need to identify the position of the occurring incident. The primary objective of localization is to identify the locality of sensor nodes installed in a network so that the location of a particular event can be traced. Different optimization approaches are observed in the work for solving the localization challenge in WSN and assigning the apt positions to undiscovered sensor nodes. This research employs the approach of localizing sensor nodes in a 2D platform utilizing an exclusive static anchor node and virtual anchors to detect dynamic target nodes by projecting these six virtual anchors hexagonally at different orientations and then optimizing the estimated target node co-ordinates employing Whale Optimization-based Naked Mole Rat Algorithm (WONMRA). Moreover, the effectiveness of a variety of optimization strategies employed for localization is compared to the WONMRA strategy concerning localization error and the number of nodes being localized, and it has been investigated that the average error in localization is 0.1999 according to WONMRA and is less than all other optimization techniques. Full article
Show Figures

Figure 1

17 pages, 2098 KiB  
Review
Regulation of Mitochondria-Derived Immune Activation by ‘Antiviral’ TRIM Proteins
by Seeun Oh and Michael A. Mandell
Viruses 2024, 16(7), 1161; https://doi.org/10.3390/v16071161 - 19 Jul 2024
Cited by 4 | Viewed by 3300
Abstract
Mitochondria are key orchestrators of antiviral responses that serve as platforms for the assembly and activation of innate immune-signaling complexes. In response to viral infection, mitochondria can be triggered to release immune-stimulatory molecules that can boost interferon production. These same molecules can be [...] Read more.
Mitochondria are key orchestrators of antiviral responses that serve as platforms for the assembly and activation of innate immune-signaling complexes. In response to viral infection, mitochondria can be triggered to release immune-stimulatory molecules that can boost interferon production. These same molecules can be released by damaged mitochondria to induce pathogenic, antiviral-like immune responses in the absence of infection. This review explores how members of the tripartite motif-containing (TRIM) protein family, which are recognized for their roles in antiviral defense, regulate mitochondria-based innate immune activation. In antiviral defense, TRIMs are essential components of immune signal transduction pathways and function as directly acting viral restriction factors. TRIMs carry out conceptually similar activities when controlling immune activation related to mitochondria. First, they modulate immune-signaling pathways that can be activated by mitochondrial molecules. Second, they co-ordinate the direct removal of mitochondria and associated immune-activating factors through mitophagy. These insights broaden the scope of TRIM actions in innate immunity and may implicate TRIMs in diseases associated with mitochondria-derived inflammation. Full article
(This article belongs to the Special Issue TRIM Proteins in Antiviral Immunity and Virus Pathogenesis)
Show Figures

Figure 1

15 pages, 2208 KiB  
Article
Two for One—Combined Morphologic and Quantitative Knee Joint MRI Using a Versatile Turbo Spin-Echo Platform
by Teresa Lemainque, Nicola Pridöhl, Marc Huppertz, Manuel Post, Can Yüksel, Robert Siepmann, Karl Ludger Radke, Shuo Zhang, Masami Yoneyama, Andreas Prescher, Christiane Kuhl, Daniel Truhn and Sven Nebelung
Diagnostics 2024, 14(10), 978; https://doi.org/10.3390/diagnostics14100978 - 8 May 2024
Cited by 1 | Viewed by 2248
Abstract
Quantitative MRI techniques such as T2 and T1ρ mapping are beneficial in evaluating knee joint pathologies; however, long acquisition times limit their clinical adoption. MIXTURE (Multi-Interleaved X-prepared Turbo Spin-Echo with IntUitive RElaxometry) provides a versatile turbo spin-echo (TSE) platform for simultaneous morphologic and [...] Read more.
Quantitative MRI techniques such as T2 and T1ρ mapping are beneficial in evaluating knee joint pathologies; however, long acquisition times limit their clinical adoption. MIXTURE (Multi-Interleaved X-prepared Turbo Spin-Echo with IntUitive RElaxometry) provides a versatile turbo spin-echo (TSE) platform for simultaneous morphologic and quantitative joint imaging. Two MIXTURE sequences were designed along clinical requirements: “MIX1”, combining proton density (PD)-weighted fat-saturated (FS) images and T2 mapping (acquisition time: 4:59 min), and “MIX2”, combining T1-weighted images and T1ρ mapping (6:38 min). MIXTURE sequences and their reference 2D and 3D TSE counterparts were acquired from ten human cadaveric knee joints at 3.0 T. Contrast, contrast-to-noise ratios, and coefficients of variation were comparatively evaluated using parametric tests. Clinical radiologists (n = 3) assessed diagnostic quality as a function of sequence and anatomic structure using five-point Likert scales and ordinal regression, with a significance level of α = 0.01. MIX1 and MIX2 had at least equal diagnostic quality compared to reference sequences of the same image weighting. Contrast, contrast-to-noise ratios, and coefficients of variation were largely similar for the PD-weighted FS and T1-weighted images. In clinically feasible scan times, MIXTURE sequences yield morphologic, TSE-based images of diagnostic quality and quantitative parameter maps with additional insights on soft tissue composition and ultrastructure. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
Show Figures

Figure 1

23 pages, 27971 KiB  
Article
Research on the Coupling Co-ordination between Quality of County-Level New Urbanization and Ecosystem Service Value in Shaanxi Province
by Qingsong Ni, Xue Ma, Ruiming Duan, Yan Liang and Peng Cui
Land 2024, 13(1), 105; https://doi.org/10.3390/land13010105 - 18 Jan 2024
Cited by 4 | Viewed by 1711
Abstract
Rapid urbanization has significantly impacted the structure of ecosystem services, accelerating the pressure on natural resources and ecological space. The clarification of the interdependent relationship between new-type urbanization (NTU) and ecosystem services (ESs) has contributed to ecological conservation and high-quality co-ordinated development, in [...] Read more.
Rapid urbanization has significantly impacted the structure of ecosystem services, accelerating the pressure on natural resources and ecological space. The clarification of the interdependent relationship between new-type urbanization (NTU) and ecosystem services (ESs) has contributed to ecological conservation and high-quality co-ordinated development, in contrast to traditional urbanization. This study focuses on the counties in Shaanxi Province as the research subjects, develops a new urbanization evaluation model for county-level areas, and utilizes Section data at the county level in Shaanxi Province for the years 2000, 2010, and 2020. (To analyze land cover change, we selected four data periods: 1990, 2000, 2010, and 2020, to capture significant spatial trends.) This study employed the comparative analysis method and the Coupled Co-ordination Model (CCDM) to assess the correlation between traditional urbanization and the value of ecosystem services, as well as between new urbanization and the value of ecosystem services. Additionally, the study utilizes the ArcGIS platform to analyze the spatiotemporal characteristics of the two types of urbanization evolution and the spatiotemporal relationship between urbanization and ecosystem co-ordination. The study findings suggest the following: (1) a “low-level coordination” coupling relationship exists between traditional and new urbanization in county-level areas of Shaanxi Province and the value of ecosystem services. (2) The coupling co-ordination of traditional and new urbanization with the value of ecosystem services shows a spread of low-value areas in space, leading to a pattern of low disorder assimilation and significant spatial aggregation. (3) From 2000 to 2020, traditional and new urbanization in various counties of Shaanxi Province consistently exhibited a steady increase, with spatial patterns of “Guanzhong region > Northern Shaanxi region > Southern Shaanxi region”. Both types of urbanization have displayed a “low-level coupling” with ecosystem services. (4) During the same period, the new urbanization index in different counties of Shaanxi Province showed a steady increase, demonstrating an advantage of Guanzhong. Its impact on the ecosystem was significantly weaker than that of traditional urbanization. (5) The development of new urbanization can be more effectively co-ordinated with ecosystem services compared to traditional urbanization. However, currently, its co-ordination with the ecosystem service system is relatively poor. The study’s results suggest that enhancing new urbanization from multiple dimensions is beneficial for promoting the integrated coherence between urbanization development and ecosystem service systems. Full article
Show Figures

Figure 1

27 pages, 53028 KiB  
Article
Differences in Soil Fungal Communities between Forested Reclamation and Forestry Sites in the Alberta Oil Sands Region
by John. A. Trofymow, Philip-Edouard Shay, Bradley Tomm, Jean A. Bérubé and Tod Ramsfield
J. Fungi 2023, 9(11), 1110; https://doi.org/10.3390/jof9111110 - 16 Nov 2023
Cited by 1 | Viewed by 1835
Abstract
Fungi play key roles in forest soils and provide benefits to trees via mycorrhizal symbioses. After severe disturbance, forest regrowth can be impeded because of changes in fungal communities. In 2013–2014, soil fungi in forest floor and mineral soil were examined by Roche [...] Read more.
Fungi play key roles in forest soils and provide benefits to trees via mycorrhizal symbioses. After severe disturbance, forest regrowth can be impeded because of changes in fungal communities. In 2013–2014, soil fungi in forest floor and mineral soil were examined by Roche 454 pyrosequencing in undisturbed, harvested, and burned jack pine stands in a forested area near Fort Chipewyan, Alberta. These fungal communities were compared with jack pine, white spruce, and larch stands in Gateway Hill, a nearby certified reclaimed area. In 2014, a more detailed sampling of forestry and reclamation jack pine sites examined fungi in soil fractions using two high-throughput sequencing platforms and a sporocarp survey. The significances of compositional and functional differences in fungal communities between the forested and reclamation sites were assessed using permutation tests of partially constrained ordinations, accounting for confounding factors by variance partitioning. Taxa associated with the forestry area were primarily ectomycorrhizal. Fungal richness and diversity were greater in soils from the reclamation sites and included significantly more pathogenic taxa and taxa with unknown functional properties. Fungal community dissimilarities may have been artefacts of historical legacies or, alternatively, may have resulted from contrasting niche differentiation between forestry and reclamation sites. Full article
(This article belongs to the Section Environmental and Ecological Interactions of Fungi)
Show Figures

Figure 1

15 pages, 1461 KiB  
Article
Developing A Baseline Metabolomic Signature Associated with COVID-19 Severity: Insights from Prospective Trials Encompassing 13 U.S. Centers
by Kaifeng Yang, Zhiyu Kang, Weihua Guan, Sahar Lotfi-Emran, Zachary J. Mayer, Candace R. Guerrero, Brian T. Steffen, Michael A. Puskarich, Christopher J. Tignanelli, Elizabeth Lusczek and Sandra E. Safo
Metabolites 2023, 13(11), 1107; https://doi.org/10.3390/metabo13111107 - 24 Oct 2023
Cited by 1 | Viewed by 2376
Abstract
Metabolic disease is a significant risk factor for severe COVID-19 infection, but the contributing pathways are not yet fully elucidated. Using data from two randomized controlled trials across 13 U.S. academic centers, our goal was to characterize metabolic features that predict severe COVID-19 [...] Read more.
Metabolic disease is a significant risk factor for severe COVID-19 infection, but the contributing pathways are not yet fully elucidated. Using data from two randomized controlled trials across 13 U.S. academic centers, our goal was to characterize metabolic features that predict severe COVID-19 and define a novel baseline metabolomic signature. Individuals (n = 133) were dichotomized as having mild or moderate/severe COVID-19 disease based on the WHO ordinal scale. Blood samples were analyzed using the Biocrates platform, providing 630 targeted metabolites for analysis. Resampling techniques and machine learning models were used to determine metabolomic features associated with severe disease. Ingenuity Pathway Analysis (IPA) was used for functional enrichment analysis. To aid in clinical decision making, we created baseline metabolomics signatures of low-correlated molecules. Multivariable logistic regression models were fit to associate these signatures with severe disease on training data. A three-metabolite signature, lysophosphatidylcholine a C17:0, dihydroceramide (d18:0/24:1), and triacylglyceride (20:4_36:4), resulted in the best discrimination performance with an average test AUROC of 0.978 and F1 score of 0.942. Pathways related to amino acids were significantly enriched from the IPA analyses, and the mitogen-activated protein kinase kinase 5 (MAP2K5) was differentially activated between groups. In conclusion, metabolites related to lipid metabolism efficiently discriminated between mild vs. moderate/severe disease. SDMA and GABA demonstrated the potential to discriminate between these two groups as well. The mitogen-activated protein kinase kinase 5 (MAP2K5) regulator is differentially activated between groups, suggesting further investigation as a potential therapeutic pathway. Full article
(This article belongs to the Special Issue Inflammatory Biomarkers in Critical Patients)
Show Figures

Graphical abstract

17 pages, 3855 KiB  
Article
Integrating a UAV System Based on Pixhawk with a Laser Methane Mini Detector to Study Methane Emissions
by Timofey Filkin, Iliya Lipin and Natalia Sliusar
Drones 2023, 7(10), 625; https://doi.org/10.3390/drones7100625 - 7 Oct 2023
Cited by 7 | Viewed by 3681
Abstract
This article describes the process of integrating one of the most commonly used laser methane detectors, the Laser Methane mini (LMm), and a multi-rotor unmanned aerial vehicle (UAV) based on the Pixhawk flight controller to create an unmanned aerial system designed to detect [...] Read more.
This article describes the process of integrating one of the most commonly used laser methane detectors, the Laser Methane mini (LMm), and a multi-rotor unmanned aerial vehicle (UAV) based on the Pixhawk flight controller to create an unmanned aerial system designed to detect methane leakages from the air. The integration is performed via the LaserHub+, a newly developed device which receives data from the laser methane detector, decodes it and transmits it to the flight controller with the protocol used by the ArduPilot platform for laser rangefinders. The user receives a single data array from the UAV flight controller that contains both the values of the methane concentrations measured by the detector, and the co-ordinates of the corresponding measurement points in three-dimensional space. The transmission of data from the UAV is carried out in real time. It is shown in this project that the proposed technical solution (the LaserHub+) has clear advantages over not only similar serial commercial solutions (e.g., the SkyHub complex by SPH Engineering) but also experimental developments described in the scientific literature. The main reason is that LaserHub+ does not require a deep customization of the methane detector or the placement of additional complex devices on board the UAV. Tests using it were carried out in aerial gas surveys of a number of municipal solid waste disposal sites in Russia. The device has a low cost and is easy for the end user to assemble, connect to the UAV and set up. The authors believe that LaserHub+ can be recommended as a mass solution for aerial surveys of methane sources. Information is provided on the approval of LaserHub+ for aerial gas surveys of a number of Russian municipal waste disposal facilities. Full article
Show Figures

Figure 1

11 pages, 503 KiB  
Article
Perceptions of Community Pharmacists toward the National E-Prescribing Service (Wasfaty) and Exploring the Benefits and Challenges of the Service: A Descriptive Study from Qassim Region, Saudi Arabia
by Saud Alsahali, Ghazwaa Almutairi, Raghad Aedh, Sarah Alanezi, Hanan Almutairi, Mohammed Anaam, Mohammed Alshammari, Abdulmalik Alhabib, Abdullah Alowayed and Suhaj Abdulsalim
Pharmacy 2023, 11(5), 152; https://doi.org/10.3390/pharmacy11050152 - 21 Sep 2023
Cited by 6 | Viewed by 4611
Abstract
Background: Electronic prescribing systems (e-prescription) for medications have many benefits, including patient safety, increase in patient satisfaction, efficiency of pharmacy work, and quality of patient care. However, few studies have been conducted to evaluate the national e-prescription system “Wasfaty” service in [...] Read more.
Background: Electronic prescribing systems (e-prescription) for medications have many benefits, including patient safety, increase in patient satisfaction, efficiency of pharmacy work, and quality of patient care. However, few studies have been conducted to evaluate the national e-prescription system “Wasfaty” service in Saudi Arabia, which was recently adopted. Objective: The aims of this study were to explore the benefits observed through the use of the system and most frequent challenges experienced by community pharmacists in the Qassim region of Saudi Arabia. Methods: This study was conducted using a descriptive survey on a web-based platform. The target population of the study included community pharmacists in the Qassim region of Saudi Arabia who worked in pharmacy chains utilizing the e-prescription service between September 2022 and November 2022. Descriptive statistics along with multiple ordinal regression were used for data analysis. Results: The study population consisted of 124 pharmacists, of which 62.9% (78/124) were males and 37.1% (46/124) were females. Most of the participants had a positive perception of the e-prescription system with regard to medication safety, with 68.6% (85/124) indicating that e-prescriptions reduce the risk of dispensing errors. However, 81.5% (101/124) did not agree that the e-prescription system resulted in a reduction in workload, and 70.2% (87/124) disagreed that the service increased patient satisfaction. Conclusions: The results of this study indicated that the national e-prescription system has many benefits to healthcare employees and improves their work, particularly for patient safety, reducing medication errors, and improving the management of patient medications. The participants believe that there is a need to improve communication with prescribers, showing concern about the unavailability of some medications; thus, it is important for policymakers to encourage other pharmacy chains and suppliers to join the service to increase patient access to medications. Full article
Show Figures

Figure 1

Back to TopTop