bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental study on electricity generation performance of T‐type direct‐expansion solar PVT heat pump system
Authors: Zhang Dianguang , Zhou Yiheng , Yu Zongjun , Ma Tianyan , Wang Xuyang 
Published: October 2024

AbstractFocusing on the electricity generation performance of a direct expansion solar PVT heat pump system, a novel T‐type optimized collector/evaporator was designed. The experiment used refrigerant R410a as the working medium and was conducted under the average winter ambient temperature of 16°C in Fuzhou. Through experimental comparison, the differences in panel temperature, electricity generation, and efficiency under different radiation intensities were tested against traditional PV panels and honeycomb PVT panels. The experimental results showed that the T‐type PVT system exhibited significant advantages under various weather conditions. The back panel temperature was reduced by 12.74, 8.52, and 13.06°C compared to traditional PV panels and honeycomb PVT panels, respectively, and it maintained a stable increase in electricity generation. The maximum instantaneous electricity output increased by 56.6% relatively, and the total electricity generation increased by 9.3% to 14.5% compared to traditional PV panels. The photoelectric efficiency reached 21.54% and 22.6%, surpassing traditional PV panels and honeycomb PVT panels, with measured values relatively increased by 1.7%, 2.38%, and 2.76%, respectively. Economic evaluation indicated that the T‐type PVT system could save on self‐generated electricity costs, achieving savings of up to 386.50 and 210.81 yuan/year compared to traditional PV panels and honeycomb PVT panels. The T‐type PVT system demonstrated clear advantages in self‐generated electricity costs, significantly reducing costs for application scenarios and providing strong support for the practical application of renewable energy technologies.
Bioprocess strategies for enhanced performance in single‐use bioreactors for biomolecule synthesis: A biokinetic approach
Authors: Dutta Debashis , Kumar Prashant , Singh Ajay , Khade Shankar 
Published: October 2024

AbstractSingle‐use bioreactors (SUB) have made a significant impact on the field of bioprocessing, becoming increasingly popular for biomolecule synthesis due to their many advantages, such as minimizing contamination risks and streamlining processes. Extensive research has been conducted on the hydrodynamic conditions within single‐use bioreactors, with a focus on parameters like mixing time, oxygen transfer rate, and stress levels to improve cell cultivation procedures. Several studies have demonstrated that SUB can effectively nurture various cell types, including those that generate monoclonal antibodies, yielding outcomes similar to conventional bioreactor systems, thus highlighting their adaptability and effectiveness in biomolecule processing. SUB equipped with wave mechanisms have shown to display comparable metabolic behaviors and fermentation consistency to conventional bioreactors, confirming their dependability in supporting fungal growth and metabolite generation. Mechanical stirring for agitation leads to high shear forces alongside enhanced monitoring and control, influencing microbial physiology and macro‐morphologies. This underscores the importance of operational factors such as rocking speed, rocking angle, and gas flow rate. Overall, the integration of single‐use bioreactors in biomolecule synthesis is expected to expand, driven by the need for increased yields and cost‐effective manufacturing solutions.
Pharmacological antagonism of Ccr2+ cell recruitment to facilitate regenerative tendon healing
Authors: Smolyak Gilbert , Rodenhouse Andrew , Nichols Anne E. C. , Ketonis Constantinos , Loiselle Alayna E. 
Published: October 2024

AbstractSuccessful tendon healing requires sufficient deposition and remodeling of new extracellular matrix at the site of injury, with this process mediating in part through fibroblast activation via communication with macrophages. Moreover, resolution of healing requires clearance or reversion of activated cells, with chronic interactions with persistent macrophages impairing resolution and facilitating the conversion to fibrotic healing. As such, modulation of the macrophage environment represents an important translational target to improve the tendon healing process. Circulating monocytes are recruited to sites of tissue injury, including the tendon, via upregulation of cytokines including Ccl2, which facilitates recruitment of Ccr2+ macrophages to the healing tendon. Our prior work has demonstrated that Ccr2−/− can modulate fibroblast activation and myofibroblast differentiation. However, this approach lacked temporal control and resulted in healing impairments. Thus, in the current study we have leveraged a Ccr2 antagonist to blunt macrophage recruitment to the healing tendon in a time‐dependent manner. We first tested the effects of Ccr2 antagonism during the acute inflammatory phase and found that this had no effect on the healing process. In contrast, Ccr2 antagonism during the early proliferative/granulation tissue period resulted in significant improvements in mechanical properties of the healing tendon. Collectively, these data demonstrate the temporally distinct impacts of modulating Ccr2+ cell recruitment and Ccr2 antagonism during tendon healing and highlight the translational potential of transient Ccr2 antagonism to improve the tendon healing process.
Spent coffee grounds as an alternative fertilizer: impact on bioaccessibility of antioxidants and commercial quality of lettuce
Authors: Patrignani Mariela , Hasperué Héctor Joaquín , Cervera‐Mata Ana , Pastoriza Silvia , Rufián Henares José Ángel 
Published: October 2024

AbstractBackgroundDuring the processing of spent coffee grounds (SCGs) several residues are obtained, which are mostly disposed of in landfills. There is an urgent need for a comprehensive waste management strategy for these residues. This study evaluates the potential of SCGs as a biofertilizer by assessing their effects on lettuce leaves and the release of antioxidants following in vitro digestion and fermentation.ResultsLettuce plants were grown with different amounts of SCGs (0–150 g kg−1) in the substrate. High SCG concentrations in the soil generated lighter colored tissues, a decrease in the green color, less root development, and lower dry weight of leaves (P < 0.05). The SCG levels also affected the release of antioxidants by the final product. This effect was more pronounced in the digested fraction: applying the Ferric Reducing Antioxidant Power (FRAP) method, the addition of SCGs from 10 g kg−1 to 125 g kg−1 increased the amount of antioxidant from 43.88 ± 4.81 to 105.96 ± 29.09 μmol Trolox g−1 of dry weight (P < 0.05). The Indigo Carmine Reducing Capacity (ICRED) method also showed a similar trend, but in this case the highest value was obtained with 150 g kg−1 of SCGs (16.41 ± 3.93 mmol catechin g−1 of dry weight) (P < 0.05). Moreover, in the fermented fraction a significant increase in the antioxidant released was found with low levels of SCG(P<0.05), while lettuces fertilized with intermediate amounts of SCGs (25 and 50 g kg−1) presented the highest amount of insoluble antioxidant (P < 0.05).ConclusionA compromise should be found in order to achieve a product with a high antioxidant capacity and an acceptable visual quality. © 2024 Society of Chemical Industry.
Radiofrequency ablation: mechanisms and clinical applications
Authors: Wu Jianhua , Zhou Zhiyuan , Huang Yuanwen , Deng Xinyue , Zheng Siting , He Shangwen , Huang Genjie , Hu Binghui , Shi Min , Liao Wangjun , Huang Na 
Published: October 2024

AbstractRadiofrequency ablation (RFA), a form of thermal ablation, employs localized heat to induce protein denaturation in tissue cells, resulting in cell death. It has emerged as a viable treatment option for patients who are ineligible for surgery in various diseases, particularly liver cancer and other tumor‐related conditions. In addition to directly eliminating tumor cells, RFA also induces alterations in the infiltrating cells within the tumor microenvironment (TME), which can significantly impact treatment outcomes. Moreover, incomplete RFA (iRFA) may lead to tumor recurrence and metastasis. The current challenge is to enhance the efficacy of RFA by elucidating its underlying mechanisms. This review discusses the clinical applications of RFA in treating various diseases and the mechanisms that contribute to the survival and invasion of tumor cells following iRFA, including the roles of heat shock proteins, hypoxia, and autophagy. Additionally, we analyze‌ the changes occurring in infiltrating cells within the TME after iRFA. Finally, we provide a comprehensive summary of clinical trials involving RFA in conjunction with other treatment modalities in the field of cancer therapy, aiming to offer novel insights and references for improving the effectiveness of RFA.
Hybrid TBETI domain decomposition for huge 2D scalar variational inequalities
Authors: Dostál Zdeněk , Sadowská Marie , Horák David , Kružík Jakub 
Published: October 2024

AbstractThe unpreconditioned H‐TFETI‐DP (hybrid total finite element tearing and interconnecting dual‐primal) domain decomposition method introduced by Klawonn and Rheinbach turned out to be an effective solver for variational inequalities discretized by huge structured grids. The basic idea is to decompose the domain into non‐overlapping subdomains, interconnect some adjacent subdomains into clusters on a primal level, and enforce the continuity of the solution across both the subdomain and cluster interfaces by Lagrange multipliers. After eliminating the primal variables, we get a reasonably conditioned quadratic programming (QP) problem with bound and equality constraints. Here, we first reduce the continuous problem to the subdomains' boundaries, then discretize it using the boundary element method, and finally interconnect the subdomains by the averages of adjacent edges. The resulting QP problem in multipliers with a small coarse grid is solved by specialized QP algorithms with optimal complexity. The method can be considered as a three‐level multigrid with the coarse grids split between primal and dual variables. Numerical experiments illustrate the efficiency of the presented H‐TBETI‐DP (hybrid total boundary element tearing and interconnecting dual‐primal) method and nice spectral properties of the discretized Steklov–Poincaré operators as compared with their finite element counterparts.
The TRUNC element in any dimension and application to a modified Poisson equation
Authors: Li Hongliang , Ming Pingbing , Zhou Yinghong 
Published: October 2024

AbstractWe introduce a novel TRUNC finite element in dimensions, encompassing the traditional TRUNC triangle as a particular instance. By establishing the weak continuity identity, we identify it as crucial for error estimate. This element is utilized to approximate a modified Poisson equation defined on a convex polytope, originating from the nonlocal electrostatics model. We have substantiated a uniform error estimate and conducted numerical tests on both the smooth solution and the solution with a sharp boundary layer, which align with the theoretical predictions.
Effects of biopsychosocial approach on cognition among Parkinson's population
Authors: Elango Jayadharshini , Abathsagayam Kumaresan , Vishnuram Surya , Suganthirababu Prathap , Natarajan Senthilkumar 
Published: October 2024

AbstractBackgroundCognitive decline is a debilitating symptom in Parkinson's disease (PD). Cognitive impairment in PD has a significant impact on many aspects of an individual's life, social interactions, and overall quality of life (QOL). It is also associated with a faster disease progression and an increased risk of developing dementia. A biopsychosocial approach is likely to address not only the underlying biological mechanisms of cognitive impairment in PD but also the psychological and social factors that can contribute to cognitive decline and influence treatment outcomes.MethodThis experimental study was conducted on 60 older adults with PD at Saveetha medical college and hospital. Participants who met the inclusion criteria were randomly allocated into two groups of Biopsychosocial (n = 30) and conventional (n = 30). Participants in the intervention group received the multiple interventions based on the biopsychosocial approach with a duration of 60 min per session. Pre and post‐test evaluation conducted using Scales for Outcomes in PD‐cognition (SCOPA‐cog) and Parkinson disease QOL Questionnaire (PDQ‐8).ResultThe results of the study showed that there is a statistically significant difference in the median scores within the Groups for the outcome measures SCOPA‐cog and PDQ‐8 (p < 0.001). For SCOPA‐cog, the BPS group median score increased from 30 to 36, while the Conventional group median score increased from 31 to 33. For PDQ‐8, the BPS group median reduced from 27 to 14, compared to the Conventional group's reduced from 30 to 24. On comparison between the post‐test values, the biopsychosocial approach group showed more improvement in cognition and QOL with (p < 0.001).ConclusionThe findings of this study concluded that the biopsychosocial approach is effective in improving cognition and QOL among the Parkinson population.
Asynchronous time dependent switched model predictive control for nonlinear systems considering feasibility constraints
Authors: Rahdan Ali , Abedi Mostafa 
Published: October 2024

AbstractThis paper presents a model predictive control for nonlinear asynchronous switched systems, aiming to achieve H∞ performance and addressing feasibility issues. The method proposed guarantees the recursive feasibility of each sub‐system after switching moments in the presence of exogenous disturbances and unknown matched and mismatched time intervals due to asynchronous switching. The boundaries of the feasibility region for each sub‐system are determined in order to impose constraints on decision parameters and switching signals. These constraints aim to maximize the mentioned region while ensuring stability. Additionally, by identifying the common region of feasibility among different sub‐systems, conditions are established for initializing the sub‐systems at the switching moments to ensure that the system states remain within this feasibility region even under the worst switching scenario. Therefore, by ensuring the initial feasibility at the switching moments and demonstrating recursive feasibility, the overall feasibility of the developed MPC is guaranteed at all times. The benefits of the proposed approach are thoroughly investigated through the simulation of a chemical system. The results demonstrate the effectiveness of the proposed method.
Collaborative Design Capacity for Enactment Framework: An Analytic Tool for Conceptualizing Pedagogical Design Capacity Within Social Context
Authors: Ellingson Charlene , Roehrig Gillian 
Published: October 2024

ABSTRACTThis study examines an urban middle school teacher design team's capacity for creating integrated science, technology, engineering, and mathematics curricula. Using Brown's pedagogical design capacity (PDC) theory, which highlights interactions between personal and curricular resources, this paper introduces an extended framework that includes social interactions as key influences on teachers' design abilities. Findings show that individual teachers' spontaneous curriculum modifications were adopted by the team, becoming collective resources for ongoing redesign and improving their design capacity. Teachers effectively used each other as resources to address unexpected challenges in integrating science, engineering, and mathematics concepts. Three types of social interactions were identified as collaborative resources: (i) Storytelling: sharing experiences to make abstract concepts actionable for curriculum development; (ii) Protocols: structured methods to address curricular problems related to integration; and (iii) Assessment “for” curriculum redesign: using assessment tools to inform and improve the curriculum. The Collective Design Capacity for Enactment framework is introduced to describe PDC within a social context, highlighting the importance of social interactions in bridging curriculum use and development, thus extending the literature on PDC.
A Comprehensive Formal Specification of ARINC 653 With Conformity Proof
Authors: Feng Zhang , Yongwang Zhao , Yang Liu , Jun Sun 
Published: October 2024

ABSTRACTAs the predominant standard for partitioning operating systems, ARINC 653 has been applied in many critical domains. However, its reliance on informal textual languages presents challenges for ensuring both the correctness of the standard itself and the conformity of a specification or an OS to this standard. This paper addresses the gap through formal work on the ARINC 653 standard. We provide a comprehensive formal specification of multi‐core ARINC 653 Part 1–5 using Isabelle/HOL that encompasses all the 68 services and covers all components outlined in the standard, then conduct a formal proof of conformity of the specification according to ARINC 653 Part 3A. Our work marks the first comprehensive multi‐core ARINC 653 specification with a formal conformity proof. Notably, we identify and address three defects in the standard document during the formal specification and proof.
Digital twins for engineering structures—An Industry 4.0 perspective
Authors: Wimmer Johannes , Braml Thomas 
Published: October 2024

AbstractThe term “digital twin” is becoming increasingly prevalent in both research and politics with regard to infrastructure structures. Industry is making significant advancements in the fields of automation and autonomy. While numerous definitions are in circulation, some of which are identical, many are similar in nature. This work examines the digital twin from its original industry perspective and considers its relevance to the constructional engineering sector. The objective of this study is to provide an overview of the current approaches in the Industry 4.0 and constructional engineering industry, examining the associated technical opportunities and challenges. The study compares the definitions, requirements and projects executed in this field. The technologies under examination are contrasted on the basis of their position within the data model. The preliminary findings suggest that some solutions for Industry 4.0 have already been developed for the construction engineering sector. However, it must be acknowledged that some solutions have yet to be fully validated.
Green hydrogen revolution: Mapping G20 nations' policies and geopolitical strategies in the net‐zero emission era
Authors: Yalamati Hari Pavan Sriram , Vij Rakesh Kumar , Srivastava Rohit 
Published: October 2024

AbstractThe transition towards net‐zero carbon emissions is increasingly defined by the emergence of green hydrogen as a pivotal technology. This review article explores the policies and geopolitical strategies of G20 nations in navigating the Green Hydrogen Revolution. Green hydrogen, produced through renewable energy‐powered electrolysis, promises to decarbonize sectors traditionally reliant on fossil fuels. This article examines how G20 countries are positioning themselves within this transformative energy landscape, emphasizing policy frameworks, investment trends, and technological advancements. Geopolitical implications, including international cooperation, competition, and energy security considerations, are analyzed to understand the evolving global dynamics of energy transition. By mapping out the diverse approaches of G20 nations, this article provides insights into the complex interplay between domestic policies and global energy strategies in achieving sustainable development goals and addressing climate change challenges in the 21st century.This article is categorized under:
Climate and Environment > Net Zero Planning and Decarbonization
Policy and Economics > Energy Transitions
Sustainable Development > Goals
An efficient water quality index forecasting and categorization using optimized Deep Capsule Crystal Edge Graph neural network
Authors: Nanjappachetty Anusha , Sundar Suvitha , Vankadari Nagaraju , Bathey Ramesh Bapu Tapas Bapu , Shanmugam Pradeep 
Published: October 2024

AbstractThe world's freshwater supply, predominantly sourced from rivers, faces significant contamination from various economic activities, confirming that the quality of river water is critical for public health, environmental sustainability, and effective pollution control. This research addresses the urgent need for accurate and reliable water quality monitoring by introducing a novel method for estimating the water quality index (WQI). The proposed approach combines cutting‐edge optimization techniques with Deep Capsule Crystal Edge Graph neural networks, marking a significant advancement in the field. The innovation lies in the integration of a Hybrid Crested Porcupine Genghis Khan Shark Optimization Algorithm for precise feature selection, ensuring that the most relevant indicators of water quality (WQ) are utilized. Furthermore, the use of the Greylag Goose Optimization Algorithm to fine‐tune the neural network's weight parameters enhances the model's predictive accuracy. This dual optimization framework significantly improves WQI prediction, achieving a remarkable mean squared error (MSE) of 6.7 and an accuracy of 99%. By providing a robust and highly accurate method for WQ assessment, this research offers a powerful tool for environmental authorities to proactively manage river WQ, prevent pollution, and evaluate the success of restoration efforts.Practitioner Points
Novel method combines optimization and Deep Capsule Crystal Edge Graph for WQI estimation.
Preprocessing includes data cleanup and feature selection using advanced algorithms.
Deep Capsule Crystal Edge Graph neural network predicts WQI with high accuracy.
Greylag Goose Optimization fine‐tunes network parameters for precise forecasts.
Proposed method achieves low MSE of 6.7 and high accuracy of 99%.
Evaluating Public Policies for Sustainable Mobility: A Review Through Some Interdisciplinary Methodologies and Procedures
Authors: Alonso Francisco , Faus Mireia , Useche Sergio A. , Velarte José Luis , Alonso Mónica 
Published: October 2024

AbstractWe recommend acknowledging the importance of evaluation as an undisputable need in developing sustainable mobility policies. To achieve this policy recommendation, we propose to take into account the following: (1) Evaluations must be comprehensive, multidisciplinary, continuous, summative, rigorous, and economically feasible, led by those responsible for its design and implementation; (2) The incorporation of Key Performance Indicators (KPI) as a structured tool to evaluate the success of policies is recommended; (3) Continuous innovation should be encouraged in policy development and evaluation processes, taking advantage of potential new technological advances to ensure that policies are current, relevant, and effective over time; (4) Emphasize the relevance of involving all stakeholders and incorporating social and community perceptions through different tools and feedback mechanisms; and (5) Conducting a cost–benefit analysis is essential to maximize the effectiveness of budgets that are limited by definition and in reality.