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Search Results (231)

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24 pages, 10345 KiB  
Article
Dynamic Evolution and Driving Mechanism of a Multi-Agent Green Technology Cooperation Innovation Network: Empirical Evidence Based on Exponential Random Graph Model
by Jing Ma, Lihua Wu and Jingxuan Hu
Systems 2025, 13(8), 706; https://doi.org/10.3390/systems13080706 - 18 Aug 2025
Viewed by 273
Abstract
As a crucial vehicle for green technological innovation, cooperative networks significantly promote resource integration and knowledge sharing. Yet, their dynamic evolution and micro-mechanism remain underexplored. Drawing on data from the joint applications of green invention patents between 2006 and 2021, this study constructed [...] Read more.
As a crucial vehicle for green technological innovation, cooperative networks significantly promote resource integration and knowledge sharing. Yet, their dynamic evolution and micro-mechanism remain underexplored. Drawing on data from the joint applications of green invention patents between 2006 and 2021, this study constructed a multi-agent GTCIN involving multiple stakeholders, such as enterprises, universities, and research institutions, and analyzed the topological structure and evolutionary characteristics of this network; an exponential random graph model (ERGM) was introduced to elucidate its endogenous and exogenous driving mechanisms. The results indicate that while innovation connections increased significantly, the connection density decreased. The network evolved from a “loose homogeneity” to “core aggregation” and then to “outward diffusion”. State-owned enterprises in the power industry and well-known universities are located at the core of the network. Preferential attachment and transitive closure as endogenous mechanisms exert strong and continuous positive effects by reinforcing local clustering and cumulative growth. The effects of exogenous forces exhibit stage-specific characteristics. State ownership and regional location become significant positive drivers only in the mid-to-late stages. The impact of green innovation capability is nonlinear, initially promoting but later exhibiting a significant inhibitory effect. In contrast, green knowledge diversity exerts an opposite pattern, having a negative effect in the early stage due to integration difficulties that turns positive as technical standards mature. Geographical, technological, social, and institutional proximity all have a positive promoting effect on network evolution, with technological proximity being the most influential. However, organizational proximity exerts a significant inhibitory effect in the later stages of GTCIN evolution. This study reveals the shifting influence of endogenous and exogenous mechanisms across different evolutionary phases, providing theoretical and empirical insights into the formation and development of green innovation networks. Full article
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22 pages, 1500 KiB  
Article
Ultra-Processed Food and Frailty: Evidence from a Prospective Cohort Study and Implications for Future Research
by Elsa M. Konieczynski, Shivani Sahni, Paul F. Jacques and Elena N. Naumova
Nutrients 2025, 17(16), 2631; https://doi.org/10.3390/nu17162631 - 14 Aug 2025
Viewed by 410
Abstract
Background: Ultra-Processed Foods (UPFs) make up a growing share of older adults’ diets and may contribute to frailty through pro-inflammatory pathways. The objective of this study was to examine the association of UPF intake with frailty development and with annual changes in select [...] Read more.
Background: Ultra-Processed Foods (UPFs) make up a growing share of older adults’ diets and may contribute to frailty through pro-inflammatory pathways. The objective of this study was to examine the association of UPF intake with frailty development and with annual changes in select frailty components. Methods: This prospective cohort study used data from 2547 participants in the Framingham Offspring Cohort. UPF intake was assessed using a food frequency questionnaire and classified according to the NOVA framework, and frailty was defined by the Fried frailty phenotype. We used cumulative and mixed logistic regression models to examine the association between daily servings of UPF and odds of developing frailty, adjusting for baseline age, education, energy intake, multivitamin use, smoking, self-rated health, history of diabetes, cancer, cardiovascular disease, and diet quality. For the frailty component analysis, we used cumulative linear regression models to assess the association between UPF intake and annual changes in grip strength, gait speed, and weight, further adjusting for BMI and physical activity. We also evaluated potential effect modification by sex and baseline age (<60 vs. ≥60 years). Results: The study population was 55.1% female, with a mean age of 60.3 ± 8.9 years. Over an average follow-up of 10.8 years, 233 participants (9.2%) developed frailty. UPF intake was not associated with frailty development in either the cumulative or mixed regression models. UPF intake was not associated with annual weight change but was inversely associated with annual change in gait speed and with annual change in grip strength in men only. Conclusions: Our findings contribute preliminary evidence that, in middle-aged and older adults, increased UPF intake is not associated with frailty but may be related to worsening muscle strength and function. Further research with a more granular approach to UPF classification is required to translate these findings to practical recommendations and to clarify their clinical significance. Full article
(This article belongs to the Special Issue Ultra-Processed Foods, Dietary Quality and Human Health)
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12 pages, 249 KiB  
Article
Optimization of Grist Composition for Mash Production from Unmalted Wheat and Wheat Malt of Red Winter Wheat with Hybrid Endosperm Type
by Kristina Habschied, Iztok Jože Košir, Miha Ocvirk, Krešimir Mastanjević and Vinko Krstanović
Beverages 2025, 11(4), 110; https://doi.org/10.3390/beverages11040110 - 4 Aug 2025
Viewed by 375
Abstract
Since wheats used for use in brewing mainly belong to the winter red hard hybrid endosperm type, this paper examined the influence of different proportions of wheat of this type (seven varieties) in the ratio of 0–100% in the grist, both unmalted and [...] Read more.
Since wheats used for use in brewing mainly belong to the winter red hard hybrid endosperm type, this paper examined the influence of different proportions of wheat of this type (seven varieties) in the ratio of 0–100% in the grist, both unmalted and as wheat malt. The quality of the starting wheats, the resulting malts and mashs with different added wheat proportions (100, 80, 60, 40, 20 and 0%) were examined. The obtained results show that the maximum shares of wheat/wheat malt in the infusion are significantly different between varieties of similar initial quality. However, they can differ considerably for the same variety when it is used as unmalted raw material and when it is used as wheat malt. Wheat malt can be added to the mixture in a significantly larger proportion compared to unmalted wheat. Furthermore, when an extended number of criteria (parameters) are applied, some varieties may be acceptable that otherwise would not be if the basic number of parameters were applied (total protein—TP, total soluble protein—TSP and viscosity—VIS) and vice versa. The inclusion of other parameters—filtration speed (FIL), saccharification time (SAC), color (COL), proportion of fine extract (EXT) and fermentability of pomace (FAL) (some of which have the character of so-called “cumulative parameters”)—complicates a clear classification into the aforementioned qualitative groups but also increases the number of varieties acceptable or conditionally acceptable for brewing. Full article
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27 pages, 1739 KiB  
Article
Hybrid Small Modular Reactor—Renewable Systems for Smart Cities: A Simulation-Based Assessment for Clean and Resilient Urban Energy Transitions
by Nikolay Hinov
Energies 2025, 18(15), 3993; https://doi.org/10.3390/en18153993 - 27 Jul 2025
Viewed by 684
Abstract
The global transition to clean energy necessitates integrated solutions that ensure both environmental sustainability and energy security. This paper proposes a scenario-based modeling framework for urban hybrid energy systems combining small modular reactors (SMRs), photovoltaic (PV) generation, and battery storage within a smart [...] Read more.
The global transition to clean energy necessitates integrated solutions that ensure both environmental sustainability and energy security. This paper proposes a scenario-based modeling framework for urban hybrid energy systems combining small modular reactors (SMRs), photovoltaic (PV) generation, and battery storage within a smart grid architecture. SMRs offer compact, low-carbon, and reliable baseload power suitable for urban environments, while PV and storage enhance system flexibility and renewable integration. Six energy mix scenarios are evaluated using a lifecycle-based cost model that incorporates both capital expenditures (CAPEX) and cumulative carbon costs over a 25-year horizon. The modeling results demonstrate that hybrid SMR–renewable systems—particularly those with high nuclear shares—can reduce lifecycle CO2 emissions by over 90%, while maintaining long-term economic viability under carbon pricing assumptions. Scenario C, which combines 50% SMR, 40% PV, and 10% battery, emerges as a balanced configuration offering deep decarbonization with moderate investment levels. The proposed framework highlights key trade-offs between emissions and capital cost and seeking resilient and scalable pathways to support the global clean energy transition and net-zero commitments. Full article
(This article belongs to the Special Issue Challenges and Opportunities in the Global Clean Energy Transition)
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22 pages, 430 KiB  
Article
Corporate Social Responsibility as a Buffer in Times of Crisis: Evidence from China’s Stock Market During COVID-19
by Dongdong Huang, Shuyu Hu and Haoxu Wang
Sustainability 2025, 17(14), 6636; https://doi.org/10.3390/su17146636 - 21 Jul 2025
Viewed by 630
Abstract
Prior research often portrays Corporate Social Responsibility (CSR) as a coercive institutional force compelling firms to passively conform for legitimacy. More recent studies, however, suggest firms actively pursue CSR to gain sustainable competitive advantages. Yet, how and when CSR buffers firms against adverse [...] Read more.
Prior research often portrays Corporate Social Responsibility (CSR) as a coercive institutional force compelling firms to passively conform for legitimacy. More recent studies, however, suggest firms actively pursue CSR to gain sustainable competitive advantages. Yet, how and when CSR buffers firms against adverse shocks of crises remains insufficiently understood. This study addresses this gap by using multiple regression analysis to examine the buffering effects of CSR investments during the COVID-19 crisis, which severely disrupted capital markets and firm valuation. Drawing on signaling theory and CSR literature, we analyze the stock market performance of China’s A-share listed firms using a sample of 2577 observations as of the end of 2019. Results indicate that firms with higher CSR investments experienced significantly greater cumulative abnormal returns during the pandemic. Moreover, the buffering effect is amplified among firms with higher debt burdens, greater financing constraints, and those operating in regions with stronger social trust and more severe COVID-19 impact. These findings are robust across multiple robustness checks. This study highlights the strategic value of CSR as a resilience mechanism during crises and supports a more proactive view of CSR engagement for sustainable development, complementing the traditional legitimacy-focused perspective in existing literature. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
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22 pages, 2112 KiB  
Article
Cultural Diversity and the Operational Performance of Airport Security Checkpoints: An Analysis of Energy Consumption and Passenger Flow
by Jacek Ryczyński, Artur Kierzkowski, Marta Nowakowska and Piotr Uchroński
Energies 2025, 18(14), 3853; https://doi.org/10.3390/en18143853 - 20 Jul 2025
Viewed by 445
Abstract
This paper examines the operational consequences and energy demands associated with the growing cultural diversity of air travellers at airport security checkpoints. The analysis focuses on how an increasing proportion of passengers requiring enhanced security screening, due to cultural, religious, or linguistic factors, [...] Read more.
This paper examines the operational consequences and energy demands associated with the growing cultural diversity of air travellers at airport security checkpoints. The analysis focuses on how an increasing proportion of passengers requiring enhanced security screening, due to cultural, religious, or linguistic factors, affects both system throughput and energy consumption. The methodology integrates synchronised measurement of passenger flow with real-time monitoring of electricity usage. Four operational scenarios, representing incremental shares (0–15%) of passengers subject to extended screening, were modelled. The findings indicate that a 15% increase in this passenger group leads to a statistically significant rise in average power consumption per device (3.5%), a total energy usage increase exceeding 4%, and an extension of average service time by 0.6%—the cumulative effect results in a substantial annual contribution to the airport’s carbon footprint. The results also reveal a higher frequency and intensity of power consumption peaks, emphasising the need for advanced infrastructure management. The study emphasises the significance of predictive analytics, dynamic resource allocation, and the implementation of energy-efficient technologies. Furthermore, systematic intercultural competency training is recommended for security staff. These insights provide a scientific basis for optimising airport security operations amid increasing passenger heterogeneity. Full article
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24 pages, 5988 KiB  
Article
Research on Construction Sequencing and Deformation Control for Foundation Pit Groups
by Ziwei Yin, Ruizhe Jin, Shouye Guan, Zhiwei Chen, Guoliang Dai and Wenbo Zhu
Appl. Sci. 2025, 15(14), 7719; https://doi.org/10.3390/app15147719 - 9 Jul 2025
Cited by 1 | Viewed by 413
Abstract
With the rapid urbanization and increasing development of underground spaces, foundation pit groups in complex geological environments encounter considerable challenges in deformation control. These challenges are especially prominent in cases of adjacent constructions, complex geology, and environmentally sensitive areas. Nevertheless, existing research is [...] Read more.
With the rapid urbanization and increasing development of underground spaces, foundation pit groups in complex geological environments encounter considerable challenges in deformation control. These challenges are especially prominent in cases of adjacent constructions, complex geology, and environmentally sensitive areas. Nevertheless, existing research is lacking in systematic analysis of construction sequencing and the interaction mechanisms between foundation pit groups. This results in gaps in comprehending stress redistribution and optimal excavation strategies for such configurations. To address these gaps, this study integrates physical model tests and PLAXIS 3D numerical simulations to explore the Nanjing Jiangbei New District Phase II pit groups. It concentrates on deformations in segmented and adjacent configurations under varying excavation sequences and spacing conditions. Key findings reveal that simultaneous excavation in segmented pit groups optimizes deformation control through symmetrical stress relief via bilateral unloading, reducing shared diaphragm wall displacement by 18–25% compared to sequential methods. Sequential excavations induce complex soil stress redistribution from asymmetric unloading, with deep-to-shallow sequencing minimizing exterior wall deformation (≤0.12%He). For adjacent foundation pit groups, simultaneous excavation achieves minimum displacement interference, while phased construction requires prioritizing large-section excavation first to mitigate cumulative deformations through optimized stress transfer. When the spacing-to-depth ratio (B/He) is below 1, horizontal displacements of retaining structures increase by 43% due to spacing effects. This study quantifies the effects of excavation sequences and spacing configurations on pit group deformation, establishing a theoretical framework for optimizing construction strategies and enhancing retaining structure stability. The findings are highly significant for underground engineering design and construction in complex urban geological settings, especially in high-density areas with spatial and geotechnical constraints. Full article
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21 pages, 601 KiB  
Article
Cladolosides of Groups S and T: Triterpene Glycosides from the Sea Cucumber Cladolabes schmeltzii with Unique Sulfation; Human Breast Cancer Cytotoxicity and QSAR
by Alexandra S. Silchenko, Elena A. Zelepuga, Ekaterina A. Chingizova, Ekaterina S. Menchinskaya, Kseniya M. Tabakmakher, Anatoly I. Kalinovsky, Sergey A. Avilov, Roman S. Popov, Pavel S. Dmitrenok and Vladimir I. Kalinin
Mar. Drugs 2025, 23(7), 265; https://doi.org/10.3390/md23070265 - 25 Jun 2025
Cited by 1 | Viewed by 584
Abstract
Four new minor monosulfated triterpene penta- and hexaosides, cladolosides S (1), S1 (2), T (3), and T1 (4), were isolated from the Vietnamese sea cucumber Cladolabes schmeltzii (Sclerodactylidae, Dendrochirotida). The structures of the [...] Read more.
Four new minor monosulfated triterpene penta- and hexaosides, cladolosides S (1), S1 (2), T (3), and T1 (4), were isolated from the Vietnamese sea cucumber Cladolabes schmeltzii (Sclerodactylidae, Dendrochirotida). The structures of the compounds were established based on extensive analysis of 1D and 2D NMR spectra as well as HR-ESI-MS data. Cladodosides S (1), S1 (2) and T (3), T1 (4) are two pairs of dehydrogenated/hydrogenated compounds that share identical carbohydrate chains. The oligosaccharide chain of cladolosides of the group S is new for the sea cucumber glycosides due to the presence of xylose residue attached to C-4 Xyl1 in combination with a sulfate group at C-6 MeGlc4. The oligosaccharide moiety of cladolosides of the group T is unique because of the position of the sulfate group at C-3 of the terminal sugar residue instead of the 3-O-Me group. This suggests that the enzymatic processes of sulfation and O-methylation that occur during the biosynthesis of glycosides can compete with each other. This can presumably occur due to the high level of expression or activity of the enzymes that biosynthesize glycosides. The mosaicism of glycoside biosynthesis (time shifting or dropping out of some biosynthetic stages) may indicate a lack of compartmentalization inside the cells of organism producers, leading to a certain degree of randomness in enzymatic reactions; however, this also offers the advantage of providing chemical diversity of the glycosides. Analysis of the hemolytic activity of a series of 26 glycosides from C. schmeltzii revealed some patterns of structure–activity relationships: the presence or absence of 3-O-methyl groups has no significant impact, hexaosides, which are the final products of biosynthesis and predominant compounds of the glycosidic fraction of C. schmeltzii, are more active than their precursors, pentaosides, and the minor tetraosides, cladolosides of the group A, are weak membranolytics and therefore are not synthesized in large quantities. Two glycosides from C. schmeltzii, cladolosides D (18) and H1 (26), display selectivity of cytotoxic action toward triple-negative breast cancer cells MDA-MB-231, while remaining non-toxic in relation to normal mammary cells MCF-10A. Quantitative structure–activity relationships (QSAR) were calculated based on the correlational analysis of the physicochemical properties and structural features of the glycosides and their hemolytic and cytotoxic activities against healthy MCF-10A cells and cancer MCF-7 and MDA-MB-231 cell lines. QSAR highlighted the complexity of the relationships as the cumulative effect of many minor contributions from individual descriptors can have a significant impact. Furthermore, many structural elements were found to have different effects on the activity of the glycosides against different cell lines. The opposing effects were especially pronounced in relation to hormone-dependent breast cancer cells MCF-7 and triple-negative MDA-MB-231 cells. Full article
(This article belongs to the Special Issue Novel Biomaterials and Active Compounds from Sea Cucumbers)
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20 pages, 10105 KiB  
Article
MissPred: A Robust Two-Stage Radar Echo Extrapolation Algorithm for Incomplete Sequences
by Ziqi Zhao, Chunxu Duan, Lin Song, Qilin Zhang, Wenda Zhu and Yi Liu
Remote Sens. 2025, 17(12), 2066; https://doi.org/10.3390/rs17122066 - 16 Jun 2025
Viewed by 389
Abstract
Radar echo extrapolation based on real-world data is a fundamental problem in meteorological forecasting. Existing extrapolation models typically assume complete radar echo sequences, but in practice, data loss frequently occurs due to equipment failures and communication disruptions. Although traditional solutions can handle missing [...] Read more.
Radar echo extrapolation based on real-world data is a fundamental problem in meteorological forecasting. Existing extrapolation models typically assume complete radar echo sequences, but in practice, data loss frequently occurs due to equipment failures and communication disruptions. Although traditional solutions can handle missing values through a interpolation-then-prediction pipeline, they suffer from a major limitation: interpolating the missing data and then extrapolating will introduce a cumulative error. To address these issues, we propose MissPred, a radar echo extrapolation model specifically designed for missing data patterns. MissPred employs a dual encoder–decoder architecture. Specifically, the training process involves the sequential execution of interpolation and extrapolation as two distinct serial tasks. In order to circumvent the occurrence of cumulative errors, interpolation and extrapolation are required to share encoder parameters. Furthermore, a missing spatiotemporal feature fusion module (MSTF) that is absent has been designed for the purpose of extracting fine-grained complete spatiotemporal features. Finally, the incorporation of adversarial training is introduced to enhance the authenticity of the prediction results. In order to evaluate the proposed model, case studies are conducted on real radar datasets. Our dataset covers missing rates ranging from 10% to 50%. The experimental results show that the model outperforms the baseline model with the prior interpolation of missing data in the missing mode with stable robustness. Full article
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22 pages, 2361 KiB  
Article
Effect of Malthouse Size and Transportation on the Environmental Profile of Malt Production
by Mauro Moresi and Alessio Cimini
Sustainability 2025, 17(11), 5077; https://doi.org/10.3390/su17115077 - 1 Jun 2025
Viewed by 507
Abstract
Malting is one of the most energy-intensive stages in beer brewing, yet its environmental impacts remain under-characterized despite recent efficiency gains. Barley and malt transport drive significant greenhouse gas emissions in import-dependent countries, while local, small-scale production can offset those savings through lower [...] Read more.
Malting is one of the most energy-intensive stages in beer brewing, yet its environmental impacts remain under-characterized despite recent efficiency gains. Barley and malt transport drive significant greenhouse gas emissions in import-dependent countries, while local, small-scale production can offset those savings through lower process efficiencies or higher resource use. This study conducted a cradle-to-gate Life Cycle Assessment (LCA) of three Italian malthouses—small, medium, and large—using SimaPro 10.2.0.0 and a functional unit of 1 kg of malted barley delivered by bulk truck to local breweries. Primary data on barley, water, methane, and electricity consumption, as well as waste generation, were collected via questionnaires; secondary data were sourced from Ecoinvent and Agri-Footprint. Impact categories were evaluated using the Cumulative Energy Demand (CED) and Product Environmental Footprint (PEF) methodologies. Barley cultivation dominates the footprint (84–92% of total impacts when using local grain). Drying and transport contribute 3.7–4.4% and 0–8.4% of impacts, respectively, depending on facility scale and import share. Smaller malthouses exhibit higher per-kilogram impacts due to lower energy efficiency and transportation modes. Mitigation strategies —including sustainable agriculture, renewable energy adoption, logistics optimization, and process improvements—can substantially reduce impacts. Notably, sourcing barley from low-impact suppliers alone lowers the carbon footprint from 0.80 to 0.66 kg CO2e/kg, freshwater eutrophication from 227 to 32 CTUe/kg, land use from 196 to 136 Pt/kg, and overall PEF from 192 to 81 µPt/kg. These results underscore the critical role of feedstock sourcing and process efficiency in decarbonizing malt production and provide a quantitative baseline for targeted sustainability interventions. Full article
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19 pages, 3395 KiB  
Article
End-to-End Online Video Stitching and Stabilization Method Based on Unsupervised Deep Learning
by Pengyuan Wang, Pinle Qin, Rui Chai, Jianchao Zeng, Pengcheng Zhao, Zuojun Chen and Bingjie Han
Appl. Sci. 2025, 15(11), 5987; https://doi.org/10.3390/app15115987 - 26 May 2025
Viewed by 800
Abstract
The limited field of view, cumulative inter-frame jitter, and dynamic parallax interference in handheld video stitching often lead to misalignment and distortion. In this paper, we propose an end-to-end, unsupervised deep-learning framework that jointly performs real-time video stabilization and stitching. First, collaborative optimization [...] Read more.
The limited field of view, cumulative inter-frame jitter, and dynamic parallax interference in handheld video stitching often lead to misalignment and distortion. In this paper, we propose an end-to-end, unsupervised deep-learning framework that jointly performs real-time video stabilization and stitching. First, collaborative optimization architecture allows the stabilization and stitching modules to share parameters and propagate errors through a fully differentiable network, ensuring consistent image alignment. Second, a Markov trajectory smoothing strategy in relative coordinates models inter-frame motion as incremental relationships, effectively reducing cumulative errors. Third, a dynamic attention mask generates spatiotemporal weight maps based on foreground motion prediction, suppressing misalignment caused by dynamic objects. Experimental evaluation on diverse handheld sequences shows that our method achieves higher stitching quality, lower geometric distortion rates, and improved video stability compared to state-of-the-art baselines, while maintaining real-time processing capabilities. Ablation studies validate that relative trajectory modeling substantially mitigates long-term jitter and that the dynamic attention mask enhances stitching accuracy in dynamic scenes. These results demonstrate that the proposed framework provides a robust solution for high-quality, real-time handheld video stitching. Full article
(This article belongs to the Collection Trends and Prospects in Multimedia)
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14 pages, 1282 KiB  
Article
Reduced Risk of Benign Paroxysmal Positional Vertigo in Patients with Parkinson’s Disease: A Nationwide Korean Cohort Study
by Dae Myoung Yoo, Ho Suk Kang, Ji Hee Kim, Joo-Hee Kim, Hyo Geun Choi, Kyeong Min Han, Nan Young Kim, Woo Jin Bang and Mi Jung Kwon
Healthcare 2025, 13(10), 1145; https://doi.org/10.3390/healthcare13101145 - 14 May 2025
Viewed by 711
Abstract
Background/Objectives: Parkinson’s disease (PD) and benign paroxysmal positional vertigo (BPPV) are both prevalent in the geriatric population. While dizziness is a common non-motor symptom in PD, the relationship between PD and incident BPPV remains unclear. Limited data suggest potential shared mechanisms, including [...] Read more.
Background/Objectives: Parkinson’s disease (PD) and benign paroxysmal positional vertigo (BPPV) are both prevalent in the geriatric population. While dizziness is a common non-motor symptom in PD, the relationship between PD and incident BPPV remains unclear. Limited data suggest potential shared mechanisms, including mitochondrial dysfunction and oxidative stress, but large-scale epidemiological evidence is lacking. This investigation focused on assessing the incidence of BPPV in patients with PD compared to matched controls using a nationwide cohort. Methods: Data from the Korean National Health Insurance Service–Health Screening Cohort were used to perform a retrospective cohort analysis. We identified 8232 newly diagnosed PD patients and matched them 1:4 with 32,928 controls based on age, sex, income, and residential region. Stratified Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident BPPV. Subgroup and Kaplan–Meier analyses were also performed. Results: Over 220,151 person-years of follow-up revealed a lower incidence of BPPV in the PD group relative to the control group (4.98 vs. 5.95 per 1000 person-years); the corresponding adjusted HR was 0.77 (95% CI: 0.66–0.90; p = 0.001), indicating a 23% reduced risk. The inverse association remained consistent across most subgroups, including older adults and rural residents. Kaplan–Meier analysis further illustrated a significant decline in the cumulative incidence of BPPV in PD patients (p = 0.007). Conclusions: PD may contribute to a lower incidence of BPPV, which could be explained by reduced mobility, altered vestibular function, or diagnostic challenges. Clinicians should consider BPPV in PD patients presenting with dizziness. Full article
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35 pages, 7112 KiB  
Article
The Dynamic Effects of Economic Uncertainties and Geopolitical Risks on Saudi Stock Market Returns: Evidence from Local Projections
by Ezer Ayadi and Noura Ben Mbarek
J. Risk Financial Manag. 2025, 18(5), 264; https://doi.org/10.3390/jrfm18050264 - 14 May 2025
Cited by 2 | Viewed by 2178
Abstract
This paper examines the impact of various uncertainty channels on stock market returns in Saudi Arabia, with a focus on the Tadawul All Share Index (TASI). It examines factors such as Saudi-specific Geopolitical Risk, Global Oil Price Uncertainty, Climate Policy Uncertainty, and U.S. [...] Read more.
This paper examines the impact of various uncertainty channels on stock market returns in Saudi Arabia, with a focus on the Tadawul All Share Index (TASI). It examines factors such as Saudi-specific Geopolitical Risk, Global Oil Price Uncertainty, Climate Policy Uncertainty, and U.S. Monetary Policy Uncertainty. Using monthly data from November 1998 to June 2024 and the Local Projections (LP) methodology, the study examines how these uncertainties impact market returns across various time horizons, taking into account potential structural breaks and nonlinear dynamics. Our findings indicate significant variations in the market’s response to the uncertainty measures across two distinct periods. During the first period, geopolitical risks have a strong positive impact on market returns. Conversely, the second period reveals a reversal, with negative cumulative effects, suggesting a shift in risk–return dynamics. Oil Price Uncertainty consistently exhibits a negative impact in both periods, highlighting the changing nature of oil dependency in the Saudi market. Additionally, Climate Policy Uncertainty is becoming more significant, reflecting increased market sensitivity to global environmental policy changes. Our analysis reveals significant asymmetries in the effects of various uncertainty shocks, with Monetary Policy Uncertainty exhibiting nonlinear effects that peak at intermediate horizons, while commodity-related uncertainties exhibit more persistent impacts. These findings, which remain robust across various tests, offer critical insights for portfolio management, policy formulation, and risk assessment in emerging markets undergoing substantial economic changes. Full article
(This article belongs to the Section Financial Markets)
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22 pages, 1566 KiB  
Article
Opportunistic Allocation of Resources for Smart Metering Considering Fixed and Random Wireless Channels
by Christian Jara, Juan Inga and Esteban Inga
Sensors 2025, 25(8), 2570; https://doi.org/10.3390/s25082570 - 18 Apr 2025
Viewed by 545
Abstract
This paper presents an optimization model for wireless channel allocation in cellular networks, specifically designed for the transmission of smart meter (SM) data through a mobile virtual network operator (MVNO). The model efficiently allocates transmission channels, minimizing smart grid (SG) costs. The MVNO [...] Read more.
This paper presents an optimization model for wireless channel allocation in cellular networks, specifically designed for the transmission of smart meter (SM) data through a mobile virtual network operator (MVNO). The model efficiently allocates transmission channels, minimizing smart grid (SG) costs. The MVNO manages fixed and random channels through a shared access scheme, optimizing meter connectivity. Channel allocation is based on a Markovian approach and optimized through the Hungarian algorithm that minimizes the weight in a bipartite network between meters and channels. In addition, cumulative tokens are introduced that weight transmissions according to channel availability and network congestion. Simulations show that dynamic allocation in virtual networks improves transmission performance, contributing to sustainability and cost reduction in cellular networks. This study highlights the importance of inefficient resource management by cognitive mobile virtual network and cognitive radio virtual network operators (C-MVNOs), laying a solid foundation for future applications in intelligent networks. This work is motivated by the increasing demand for efficient and scalable data transmission in smart metering systems. The novelty lies in integrating cumulative tokens and a Markovian-based bipartite graph matching algorithm, which jointly optimize channel allocation and transmission reliability under heterogeneous wireless conditions. Full article
(This article belongs to the Special Issue AI and Smart Sensors for Intelligent Transportation Systems)
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21 pages, 469 KiB  
Article
Digital Commerce as a Catalyst for Ecological Transformation: Evidence from China’s Manufacturing Sector
by Ruixiang Li and Gyung-yong Song
Sustainability 2025, 17(8), 3600; https://doi.org/10.3390/su17083600 - 16 Apr 2025
Viewed by 462
Abstract
The ecological transformation of industrial enterprises is crucial for promoting sustainable development, improving energy efficiency, and boosting environmental quality. This study provides empirical insights into the relationship between digital commerce and the ecological transformation of manufacturing firms, using panel data from Chinese A-share-listed [...] Read more.
The ecological transformation of industrial enterprises is crucial for promoting sustainable development, improving energy efficiency, and boosting environmental quality. This study provides empirical insights into the relationship between digital commerce and the ecological transformation of manufacturing firms, using panel data from Chinese A-share-listed manufacturing businesses from 2011 to 2021. The findings demonstrate that digital commerce significantly accelerates the environmental transition of manufacturing firms, particularly within established organizations, competitive sectors, and non-renewable energy industries. Mechanism analysis reveals that advancements in digital commerce improve the breadth, quality, and sustainability of green technology innovation. Examining threshold effects identifies a distinct threshold in the cumulative impact of green technological improvements, beyond which digital commerce facilitates the ecological transition of industrial firms. Manufacturing enterprises need to optimize the use of digital tools and provide more efficient solutions around resource allocation, so as to gain an advantageous position in the green supply chain. Full article
(This article belongs to the Special Issue Ecodesign of Products and Sustainable Manufacturing)
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