Search Results (1,854)

Background and Objectives: Despite the significant impacts of cognitive impairment on patients with chronic obstructive pulmonary disease (COPD), there is limited information available on healthcare workers’ (HCWs) perceptions, current practice, and barriers to managing COPD patients with cognitive impairment. Materials and Methods: A cross-sectional questionnaire was distributed to HCWs in Saudi Arabia between April and December 2023. The collected responses were analysed using descriptive statistics and logistic regression models. Results: A total of 890 participants, including nursing, physical, and respiratory therapists, completed the online questionnaire. Over two-thirds of the study participants indicated not having sufficient knowledge or adequate training in managing cognitive impairment in patients with COPD. The majority of HCWs perceive cognitive impairment to underdiagnose COPD (83%), underestimate COPD severity (81%), exacerbate COPD symptoms (80%), and interfere with self-management (81%) and pulmonary rehabilitation (81%). However, less than 45% (n = 394) reported having the potential to recognise signs of cognitive impairment during patient encounters. Logistic regression analysis revealed that male healthcare practitioners were more likely to recognise cognitive impairment than females (OR: 1.48; 95% CI: 1.13 to 1.95; p < 0.001). Physical and respiratory therapists were more likely to identify cognitive impairment compared to nurses. Additionally, having more years of experience (≥10 years, OR: 1.63; 95% CI: 1.02 to 2.61; p = 0.001) and adequate knowledge of cognitive impairment (OR: 6.23; 95% CI: 4.18 to 9.29; p = 0.001) were strongly associated with better recognition. Confidence in managing cognitively impaired COPD patients was low, attributed to poor training (64%), inadequate knowledge (64%), and the absence of standardised procedures (58%). Conclusions: HCWs agreed upon the negative impacts associated with cognitive impairment in patients with COPD. However, the potential of recognising signs of cognitive impairment and confidently dealing with the existence of cognitive impairment in COPD is not optimal, owing to poor training and limited knowledge. A focus should be given to managing comorbidities alongside COPD. Full article

The degrowth movement is gradually gaining recognition within North American urban planning, but its influence and application remain limited. Most degrowth-oriented initiatives have remained at a small scale, mostly pertaining to communities and neighbourhoods. This study explores whether it is possible to incorporate degrowth principles into larger planning institutions and policies. The paper reviews existing studies on zoning policies and the degrowth movement, employing a qualitative research approach, and utilising secondary data analysis through document and critical discourse analysis. Through this exploration, this study aims to contribute to upscaling and institutionalising degrowth principles and to provide a clear outlook on the movement and its characteristics. Drawing on 32 key sources on zoning and degrowth, alongside two policy documents and a case study of Texas, this study applies coding, content analysis, and GIS mapping to explore the intersections of zoning regulations and degrowth principles in urban planning. The six key principles found to be essential to the degrowth movement—decoupling economics, fostering stronger communities, self-sufficiency, equity, political autonomy/collaboration, and ecological/environmental protection—were analysed in the context of the Texas municipal code for zoning to see whether current zoning ordinances follow the degrowth ideology. The findings reveal that while aspects of degrowth, such as affordable housing initiatives and environmental sensitivity, are present in Texas’ zoning regulations, these remain minimal and often constrained by the overarching focus on economic profitability. To integrate degrowth principles more effectively, significant reforms are required, including disengaging zoning ideologies from economic growth, fostering autonomy and self-sufficiency, and reimagining zoning practices to prioritise equity, ecology, and collective resource management. Full article

Modern city construction focuses on developing smart transportation, but the recognition of the large number of non-motorized vehicles in the city is still not sufficient. Compared to fixed recognition equipment, drones have advantages in image acquisition due to their flexibility and maneuverability. With the dataset collected from aerial images taken by drones, this study proposed a novel lightweight architecture for small objection detection based on YOLO framework, named EBR-YOLO. Firstly, since the targets in the application scenario are generally small, the number of Backbone layers is reduced, and the AZML module is proposed to enrich the detail information and enhance the model learning capability. Secondly, the C2f module is reconstructed using part of the convolutional PConv to reduce the network’s computational volume and improve the detection speed. Finally, the downsampling operation is reshaped by combining with the introduced ADown module to further reduce the computational amount of the model. The experimental results show that the algorithm achieves an mAP of 98.9% and an FPS of 89.8 on the self-built dataset of this paper, which is only 0.2% and 0.3 lower compared to the original YOLOv8 network, respectively, and the number of parameters is 70% lower compared to the baseline, which ensures the accuracy and computational speed of the model while reducing its computational volume greatly. At the same time, the model generalization experiments are carried out on the UCAS-AOD and CARPK datasets, and the performance of the model is almost the same as the baseline. Full article

Considering the ambitious climate goals defined by the European Union, the significant share of energy demand represented by buildings, the slow process of their renovation due to challenges such as a need for majority consent from residents and limited available space in dense urban areas, this study aims to foster retrofitting of energy supply systems of multi-storey apartment buildings, improving their sustainability. This entails making the transition to sustainable energy systems more socially acceptable and practical in urban contexts by proposition and demonstration of the potential of a power and heat supply system retrofit that minimises disruptions felt by residents. It integrates rooftop renewable power sources, heat storage with an electric heater, heat pumps, and existing connections to public utility networks. Furthermore, simulation results of both single- and multi-objective optimisation (performed by the genetic algorithm) for equipment selection, as well as conventional and smart control (implemented as a gradient-based optimisation) for daily scheduling, are compared, defining the main scientific contribution of the study. It is found possible to achieve a net present value of up to almost twice the annual energy expenses of the unrenovated building or self-sufficiency rate of up to 41.6% while using conventional control. These benefits can reach 2.6 times or 49.8% if the smart control is applied, demonstrating both the profitability and improved self-sufficiency achievable with the proposed approach in Latvian conditions. Full article

The study area is a densely populated residential zone located in central Mexico, characterized by a semi-arid climate and diverse land uses, including domestic, commercial, and services. In the study area, water demand is assessed based on land use requirements set by national and local regulations, and an urban configuration pinpoints spaces suitable for rainwater harvesting for self-consumption. This research proposes indicators based on urban, demographic, and hydrological parameters to assess the effectiveness of low-impact development (LID) techniques, such as rooftop rainwater harvesting, aimed at reducing water scarcity in a residential area vulnerable to water shortages in a semi-arid city in the Global South. Additionally, hydrological design conditions are defined to estimate the potential volumes of recoverable water. Indicators for infiltrated water, available water for consumption, runoff water, and sufficient water are established. This framework enables the development of strategies to mitigate water scarcity and improve water management in the area. Full article

EU regulations get stricter from 2028 on by imposing net-zero energy building (NZEB) standards on new residential buildings including on-site renewable energy integration. Heat pumps (HP) using thermal building mass, and Model Predictive Control (MPC) provide a viable solution to this problem. However, the MPC potential in NZEBs considering the impact on indoor comfort have not yet been investigated comprehensively. Therefore, we present a co-simulative approach combining MPC optimization and IDA ICE building simulation. The demand response (DR) potential of a ground-source HP and the long-term indoor comfort in an NZEB located in Vorarlberg, Austria over a one year period are investigated. Optimization is performed using Mixed-Integer Linear Programming (MILP) based on a simplified RC model. The HP in the building simulation is controlled by power signals obtained from the optimization. The investigation shows reductions in electricity costs of up to 49% for the HP and up to 5% for the building, as well as increases in PV self-consumption and the self-sufficiency ratio by up to 4% pt., respectively, in two distinct optimization scenarios. Consequently, the grid consumption decreased by up to 5%. Moreover, compared to the reference PI controller, the MPC scenarios enhanced indoor comfort by reducing room temperature fluctuations and lowering the average percentage of people dissatisfied by 1% pt., resulting in more stable indoor conditions. Especially precooling strategies mitigated overheating risks in summer and ensured indoor comfort according to EN 16798-1 class II standards. Full article

The determinate inflorescence trait of Brassica napus L. is associated with various desirable agricultural characteristics. BnTFL1s (BnaA10.TFL1 and BnaC09.TFL1), which encode the transcription factor TERMINAL FLOWER 1 (TFL1), have previously been identified as candidate genes controlling this trait through map-based cloning. However, the mechanism underlying the effects of the BnTFL1 proteins remains unclear. Further, proteins generally interact with each other to fulfill their biological functions. The objective of this study was to construct a cDNA library of the shoot apical meristem (SAM) of B. napus and screen for proteins that interact with BnTFL1s, to better understand its mechanism of action. The recombination efficiency of the yeast two-hybrid (Y2H) library that we constructed was 100%, with insertion fragment lengths ranging from 750 to 2000 bp and a capacity of approximately 1.44 × 10⁷ CFUs (colony-forming units), sufficient for screening protein interactions. Additionally, the bait vector pGBKT7-BnTFL1s was transformed into yeast cells alongside positive and negative controls, demonstrating no toxicity to the yeast cells and no self-activation. This bait was used to screen the SAM cDNA library of B. napus, ultimately identifying two BnTFL1s-interacting proteins: 14-3-3-like protein GF14 omega GRF2. These interactions were verified through one-to-one interaction experiments. This study provides a foundation for further research on the biological functions of the BnTFL1s genes and their regulatory role in inflorescence formation in B. napus, while providing a reference for studying similar mechanisms in other plants. Full article

Rooftop photovoltaic (RTPV) systems have the potential to significantly boost residential electricity self-sufficiency in urban areas. However, estimating the self-sufficiency potential of each city is challenging due to the trade-off between target accuracy and data availability, which limits the scalability of existing methods. This study aims to evaluate the potential of RTPV systems to enhance residential electricity self-sufficiency in major Japanese cities. The self-sufficiency analysis employs a balanced approach using statistical data to estimate RTPV and battery storage capacity in detached houses and hourly simulations to capture supply–demand variations. To project the penetration rate, a logistic curve is utilized to estimate the timeline for achieving a 100% installation rate in detached houses. The analysis reveals that RTPV systems could supply approximately 40% of the residential electricity demand in major cities, with some achieving self-sufficiency rates exceeding 65%. Densely populated cities like Tokyo, Osaka, and Kawasaki may only meet a quarter of their demand due to higher energy requirements. Including older detached houses in RTPV deployment boosted self-sufficiency by an average of 11.77%, with cities like Nagoya, Kyoto, and Kitakyushu achieving increases of 15–20%. Battery storage plays a critical role in enhancing self-sufficiency and reducing energy curtailment. Logistic curve projections suggest that most cities are unlikely to reach 100% RTPV penetration before 2050, though leading cities could achieve 75% penetration by then due to favorable growth rates. These findings reveal that while RTPV has substantial potential to improve residential electricity self-sufficiency, additional efforts are necessary to accelerate adoption. Further research is needed to refine capacity estimates, explore the socioeconomic and political context of the cities, and examine alternative pathways for cities like Tokyo, Osaka, and Kawasaki. Full article

The paper aims to assess the dynamics of production and income in Polish agriculture against the agriculture in the entire EU and estimate the trade-related effects of participation in the Single European Market over the 20 years of Poland’s EU membership. The analyses showed that a positive phenomenon observed in Polish agriculture after joining the EU was a stable upward trend in agricultural production and the strengthening of farm links with the agricultural market. This was followed by increased agricultural income. Incorporation into the Single European Market triggered an increase in the value of Polish trade in agri-food products. Poland strengthened its position as a net exporter of agri-food products and proved the ability of the food industry to compete effectively in foreign markets. Except for cognitive value, the research can be a benchmark for other countries aspiring to EU membership and constitute a justification for their move toward accession. Long-run ex post analysis of trends in production, income, and foreign trade offers a background for assessing the efficiency of agricultural and trade policy actions taken up to date. The recommendation arising from the analysis and the new conditions related to the European Green Deal and the liberalization of trade policy for the import of agri-food products from outside the European Union is as follows: given the benefits of the liberalization of foreign trade in agri-food products, it should be supported, but it should not be allowed to make agricultural production in the country unprofitable or threaten food self-sufficiency. Full article

Recommendation systems offer an effective solution to information overload, finding widespread application across e-commerce, news platforms, and beyond. By analyzing interaction histories, these systems automatically filter and recommend items that are most likely to resonate with users. Recently, with the swift advancement of social networking, group recommendation has emerged as a compelling research area, enabling personalized recommendations for groups of users. Unlike individual recommendation, group recommendation must consider both individual preferences and group dynamics, thereby enhancing decision-making efficiency for groups. One of the key challenges facing recommendation algorithms is data sparsity, a limitation that is even more severe in group recommendation than in traditional recommendation tasks. While various group recommendation methods attempt to address this issue, many of them still rely on single-view modeling or fail to sufficiently account for individual user preferences within a group, limiting their effectiveness. This paper addresses the data sparsity issue to improve group recommendation performance, overcoming the limitations of overlooking individual user recommendation tasks and depending on single-view modeling. We propose MCSS (multi-view collaborative training and self-supervised learning), a novel framework that harnesses both multi-view collaborative training and self-supervised learning specifically for group recommendations. By incorporating both group and individual recommendation tasks, MCSS leverages graph convolution and attention mechanisms to generate three sets of embeddings, enhancing the model’s representational power. Additionally, we design self-supervised auxiliary tasks to maximize the data utility, further enhancing performance. Through multi-task joint training, the model generates refined recommendation lists tailored to each group and individual user. Extensive validation and comparison demonstrate the method’s robustness and effectiveness, underscoring the potential of MCSS to advance state-of-the-art group recommendation. Full article

Linear Variable Filter (LVF) hyperspectral cameras possess the advantages of high spectral resolution, compact size, and light weight, making them highly suitable for unmanned aerial vehicle (UAV) platforms. However, challenges arise in data registration due to the imaging characteristics of LVF data and the instability of UAV platforms. These challenges stem from the diversity of LVF data bands and significant inter-band differences. Even after geometric processing, adjacent flight lines still exhibit varying degrees of geometric deformation. In this paper, a progressive grouping-based strategy for iterative band selection and registration is proposed. In addition, an improved Scale-Invariant Feature Transform (SIFT) algorithm, termed the Double Sufficiency–SIFT (DS-SIFT) algorithm, is introduced. This method first groups bands, selects the optimal reference band, and performs coarse registration based on the SIFT method. Subsequently, during the fine registration stage, it introduces an improved position/scale/orientation joint SIFT registration algorithm (IPSO-SIFT) that integrates partitioning and the principle of structural similarity. This algorithm iteratively refines registration based on the grouping results. Experimental data obtained from a self-developed and integrated LVF hyperspectral remote sensing system are utilized to verify the effectiveness of the proposed algorithm. A comparison with classical algorithms, such as SIFT and PSO-SIFT, demonstrates that the registration of LVF hyperspectral data using the proposed method achieves superior accuracy and efficiency. Full article

Background/Objectives: Adequate knowledge and correct attitudes about the HPV vaccine influence awareness of the importance of preventing HPV-related diseases, which is particularly important for future healthcare professionals. We aim to examine the share of correct answers and the prevalence of different attitudes about the HPV vaccine among active regular students of the Faculty of Medicine in Novi Sad. Methods: A cross-sectional study was conducted from 1 to 30 November 2023 using a structured survey questionnaire. Results: A total of 1760 students were included, of which 78% were female, with an average age of 21 years. Students who participated in prior HPV education) demonstrated significantly higher knowledge (81.92% vs. 65.60%, p < 0.001) and were more likely to recommend the vaccine to patients (89.91% vs. 82.99%, p < 0.001). Almost all vaccinated students (99.41%) would recommend the vaccine, compared to 82.91% of unvaccinated students (p < 0.001). Students who actively sought HPV information also showed a higher likelihood of recommending the vaccine (93.05% vs. 83.02%, p < 0.001). Moreover, those with sufficient self-assessed knowledge were more inclined to recommend the vaccine (89.88%) than those with insufficient knowledge (81.66%, p < 0.001). The analysis demonstrated that an increase in the number of correct answers in the knowledge evaluation corresponds to higher odds of recommending the HPV vaccine to patients (OR = 1.23, 95% CI 1.17–1.28). Positive attitudes prevailed, with 68.89% supporting more education on HPV vaccination. Conclusions: Students who previously attended education on HPV infection/vaccination and those who would recommend the vaccine have significantly higher levels of knowledge. The study highlights the importance of HPV-related education in shaping future healthcare professionals’ attitudes and knowledge. Full article

Governments and politicians are very concerned about the environmental sustainability of the energy sector, particularly with regard to oil and gas. To assist in achieving global climate objectives, the clean energy transition involves moving away from a fossil-fuel-based economy and toward one that is dominated by clean, renewable energy. This reduces carbon emissions. Here, we consider the moderating effects of natural resources, urbanization, and energy consumption between 1990 and 2022 as we analyze the impact of China’s energy transition and the external balance of goods and services on the country’s environmental quality. We used ARDL econometric techniques and present a thorough empirical investigation. Overall, the findings indicate that the ecological footprint is adversely correlated with energy transition, natural resource use, the external balance of goods and services, and renewable energy usage. Urbanization and the use of non-renewable energy, however, are positively associated with that footprint. The use of renewable energy sources, richness of natural resources, and energy transition all contribute to environmental sustainability. The sustainability of the environment is weakened by urbanization and non-renewable energy usage. It is recommended that policymakers facilitate the acceleration of the energy transition by utilizing renewable energy, promoting policies that create favorable conditions for the widespread adoption of renewables, and balancing the nation’s urban structure in a way that enhances self-sufficient urban development and ensures a sustainable future. Limitations of this study and future directions for research are outlined. Full article

(1) Background: Globally, an estimated 1.7 million adolescents (aged 10–19 years) were living with HIV in 2023, with 82% residing in sub-Saharan Africa. For ALHIV, transitioning to adult care involves assuming responsibility for their own health and disease management, posing significant challenges to persistent engagement in care. There is a paucity in health policies guiding this transition in many sub-Saharan African countries. Overburdened and poorly functioning health systems struggle to provide optimal care for ALHIV amidst the rising HIV pandemic in this priority population. (2) Methods: This study employed a mixed-methods design, comprising a descriptive qualitative study with healthcare workers and managers and a cross-sectional survey to examine the practices and pathways in which the transition to adult HIV care occurs in the Cape Town Metropole, South Africa. (3) Results: We delineate three distinct ways in which transition occurs (transfer-only, adolescent-friendly, and supportive transition). A successful transition involves a sufficient level of self-management of their chronic condition and healthcare journey, which is preceded by adequate preparation pre-transition, and the monitoring of engagement post-transition. This ideally requires developing relevant health policies and implementing guidelines signaling political will and providing the impetus and agency of implementation at the service level in South Africa. Full article

Distributed Energy Resources (DERs) aggregation increases the sustainability of the Electric Vehicles (EVs) market. For example, Fast Charging Stations (FCSs) associated with distributed generation and storage systems in a microgrid infrastructure may be beneficial in increasing self-consumption and peak-shaving strategies and mitigating impacts on the grid. However, microgrid sizing planning is a complex challenge, mainly due to numerous factors related to EV market growth and user behavior. This work defines a methodology focusing on sizing planning and analysis of microgrids for FCSs based on quantitative indices formulated according to the Net Zero Energy Building (NZEB) concept, optimizing self-sufficiency and limiting impacts on the primary electrical grid. The methodology is applied to a real case study considering the growth of EVs in southern Brazil. The developed analyses demonstrate that the proposed microgrid meets the energy needs of the FCS and presents the best NZEB indexes within the considered study horizon. Additionally, representative profiles were characterized for different load and generation conditions, complementing the analyses. It was shown that the storage promotes a delay and reduction in the reverse peak power flow, further enhancing the NZEB indexes. Full article