Explore the vast range of titles available.

Recent advancements in membrane-assisted seawater electrolysis powered by renewable energy offer a sustainable path to green hydrogen production. However, its large-scale implementation faces challenges due to slow power-to-hydrogen (P2H) conversion rates. Here we report a modular forward osmosis-water splitting (FOWS) system that integrates a thin-film composite FO membrane for water extraction with alkaline water electrolysis (AWE), denoted as FOWS AWE . This system generates high-purity hydrogen directly from wastewater at a rate of 448 Nm 3  day −1  m − 2 of membrane area, over 14 times faster than the state-of-the-art practice, with specific energy consumption as low as 3.96 kWh Nm −3 . The rapid hydrogen production rate results from the utilisation of 1 M potassium hydroxide as a draw solution to extract water from wastewater, and as the electrolyte of AWE to split water and produce hydrogen. The current system enables this through the use of a potassium hydroxide-tolerant and hydrophilic FO membrane. The established water-hydrogen balance model can be applied to design modular FO and AWE units to meet demands at various scales, from households to cities, and from different water sources. The FOWS AWE system is a sustainable and an economical approach for producing hydrogen at a record-high rate directly from wastewater, marking a significant leap in P2H practice. Green hydrogen production faces increased water risks due to scarce supplies of water. Here, authors develop a modular forward osmosis-water splitting system that utilises wastewater effluent to generate high-purity hydrogen, providing a sustainable solution for water and energy security.

Membrane technology has shown a promising role in combating water scarcity, a globally faced challenge. However, the disposal of end-of-life membrane modules is problematic as the current practices include incineration and landfills as their final fate. In addition, the increase in population and lifestyle advancement have significantly enhanced waste generation, thus overwhelming landfills and exacerbating environmental repercussions and resource scarcity. These practices are neither economically nor environmentally sustainable. Recycling membranes and utilizing recycled material for their manufacturing is seen as a potential approach to address the aforementioned challenges. Depending on physiochemical conditions, the end-of-life membrane could be reutilized for similar, upgraded, and downgraded operations, thus extending the membrane lifespan while mitigating the environmental impact that occurred due to their disposal and new membrane preparation for similar purposes. Likewise, using recycled waste such as polystyrene, polyethylene terephthalate, polyvinyl chloride, tire rubber, keratin, and cellulose and their derivates for fabricating the membranes can significantly enhance environmental sustainability. This study advocates for and supports the integration of sustainability concepts into membrane technology by presenting the research carried out in this area and rigorously assessing the achieved progress. The membranes’ recycling and their fabrication utilizing recycled waste materials are of special interest in this work. Furthermore, this study offers guidance for future research endeavors aimed at promoting environmental sustainability.

The conventional linear life cycle of membrane materials, spanning fabrication, use, and disposal through landfilling or incineration poses serious sustainability challenges. The environmental burden associated with both the production of new membranes and the disposal of end-of-life (EoL) modules is considerable, further intensified by the reliance on fossil fuel-derived polymers, toxic solvents, and resource-intensive manufacturing processes. These challenges underscore the urgent need to integrate sustainability principles across the entire membrane life cycle, from raw material selection to reuse and regeneration. Emerging approaches such as membrane regeneration using recyclable polymers based on covalent adaptable networks (CANs) have introduced a new paradigm of closed-loop design, enabling complete depolymerization and reformation. In parallel, more conventional strategies, including the valorization of recycled plastic waste and the upcycling or downcycling of EoL membranes, offer practical routes toward a circular membrane economy. In this review, we consolidate current advances in membrane recycling, critically evaluate their practical constraints, and delineate the technical and environmental challenges that must be addressed for broader implementation. The insights presented here aim to guide the development of next-generation circular membrane technologies that harmonize sustainability with performance.

The apparel consumer, one of the vital stakeholders in the apparel supply chain, has a significant role to play in moving the clothing industry in a sustainable direction. From purchasing and care practice to donation and disposal, every step of their decisions impacts the environment. Various internal and external variables influence those decisions, including culture, customs, values, beliefs, norms, assumptions, economy, gender, education and others. Therefore, we believe having a scientific understanding is very important, because consumers need to be aware of what makes eco-conscious apparel behavior; only then will the circular transition be eased. However, the key concern is whether the apparel consumers are aware of this knowledge or not. Therefore, we formulated a prospective study from a life cycle thinking point of view with a key focus on synthesizing apparel consumer behavior concerning clothing acquisition, maintenance and disposal through the circular economy lens. Hence, a circular economy lens framework is proposed, followed by three research questions’ (RQ) formulation: RQ1. What is the current norm of clothing acquisition, maintenance and disposal behavior?; RQ2. Is apparel consumer clothing acquisition, maintenance and disposal behavior circular-driven?; RQ3. What is the sustainable way of clothing acquisition, maintenance and disposal? These questions are followed by circular economy lens framework development for apparel consumers. Second, following the research questions, state-of-the-art literature-driven decisions were gathered to form constructive consumer-centric decisions over the apparel lifecycle. Third, building on this synthesis, a critical discussion is offered, following the decision-tree approach to inform relevant behavioral guidelines for consumers and other stakeholders in the apparel supply chain. Overall, our findings on apparel consumer behavior through the circular economy lens could serve as new guidelines for consumers to exercise mindful clothing consumption behavior.

Background: Despite being a pillar of heart failure (HF) management, the guideline-directed initiation of sodium-glucose cotransporter-2 inhibitors (SGLT2is) may be challenging due to the barrier of associated urinary tract infections (UTIs). Although there is a known risk, it remains unclear whether UTI incidence differs between patients with and without a prior history of UTIs. Methods: This study aimed to evaluate the risk–benefit profile of initiating an SGLT2i in patients with a history of UTIs. This retrospective, single-center healthcare system cohort analysis included adult patients hospitalized and taking an SGLT2i between 1 January 2020, and 31 August 2024. The included patients were divided into two cohorts: patients with and without a history of UTI pre-SGLT2i (described in this study as UTI-naive). Patients with urogenital structural abnormalities, indwelling catheters, or high-risk profiles were excluded. The primary outcome was the incidence of UTIs post-SGLT2i initiation. Secondary outcomes included the number of UTIs within 30, 60, and 90 days after starting an SGLT2i. Results: A total of 280 patients were evaluated for this study, of which 250 were included for analysis. Of those, 197 were UTI-naive, and 53 had a history of UTI pre-SGLT2i use. The most utilized SGLT2i was empagliflozin (75.6%). Amongst the cohorts, 20.4% of the UTI-naive patients developed a UTI post-SGLT2i versus 30.2% in patients with a historical UTI (p = 0.13). Conclusions: There was no significant difference in UTIs developed up to 90 days post-SGLT2i initiation, regardless of previous infections, suggesting that a history of UTI should not be a barrier to differing first-line therapy.

Membrane engineering is a complex field involving the development of the most suitable membrane process for specific purposes and dealing with the design and operation of membrane technologies. This study analyzed 1424 articles on reverse osmosis (RO) membrane engineering from the Scopus database to provide guidance for future studies. The results show that since the first article was published in 1964, the domain has gained popularity, especially since 2009. Thin-film composite (TFC) polymeric material has been the primary focus of RO membrane experts, with 550 articles published on this topic. The use of nanomaterials and polymers in membrane engineering is also high, with 821 articles. Common problems such as fouling, biofouling, and scaling have been the center of work dedication, with 324 articles published on these issues. Wang J. is the leader in the number of published articles (73), while Gao C. is the leader in other metrics. Journal of Membrane Science is the most preferred source for the publication of RO membrane engineering and related technologies. Author social networks analysis shows that there are five core clusters, and the dominant cluster have 4 researchers. The analysis of sentiment, subjectivity, and emotion indicates that abstracts are positively perceived, objectively written, and emotionally neutral.

Surface patterning is a promising anti-fouling strategy, yet its integration with conductive polymers remains underexplored. This study investigates electrically conductive, surface-patterned membranes with integrated porous feed spacers using polyaniline (PANI) as a conductive additive in polyethersulfone (PES) membranes. Among tested concentrations (0.25–2.00 wt.%), 1.00 wt.% PANI membrane (PN1) showed the best performance, with electrical conductivity of ≈130.5 ± 2.87 mS·m − 1 and pure water flux of 107.2 ± 15.5 L·m − 2 ·h − 1 which is around five times that of pristine PES membrane. Under a 4 V electric field, PN1 exhibited lower flux decline (60.6%) and higher flux recovery (FRR 90.1 ± 2.15%). Surface-patterned PN1 membrane (PN1_Patterned) further enhanced performance, achieving a flux of 168.2 ± 20.7 L·m − 2 ·h − 1 and reduced fouling (51.6% flux decline) compared to surface-patterned PES membrane (66.7%). PN1_Patterned membrane also showed higher FRR (95.4 ± 1.68%) and stable natural organic matter (NOM) rejection ( > 92.9 ± 1.65%). These results highlight the synergistic benefits of combining conductivity with surface patterning, offering a potential approach for improved membrane performance.

Reverse osmosis (RO) spiral wound membrane generation reached 93.5% in 2020, resulting in 14,000 tons of used RO membranes being discarded annually into landfills, which is unprecedented. The current study aims to chemically convert the end-of-life RO membrane, followed by its performance evaluation and microbial removal efficiency on three different sources of water, i.e., tap water (TW), integrated constructed wetland permeate (ICW-P), and membrane bio-rector permeate (MBR-P), respectively. This was accomplished by selecting 6 years of spent Filmtech (LC-LE-4040) thin film composite type brackish water reverse osmosis (BWRO) membrane, followed by alkaline and acidic cleaning for 2 h. Finally, the conversion was carried out by 6% sodium hypochlorite (NaOCl) with 300,000 ppm/h exposure by active system (AS) using the clean in place CIP pump at 2 bars for 10 h duration. The membrane demonstrated 67% water recovery and 1% saltwater rejection, which means RO membrane now converted into recycled RO (R-RO) or (UF) by removal of the polyamide (PA) layer. Water recovery was 67% for TW, 68% for ICW-P, and 74% for MBR-P, respectively, with the consistent saltwater rejection rate of 1% being observed, while R-RO exhibited an effective COD removal of 65.79%, 62.96%, and 67.72% in TW, ICW-P, and MBR-P, respectively. The highest turbidity removal of 96% in the ICW-P was also recorded for R-RO. For morphological properties, SEM analysis of the R-RO membrane revealed a likewise appearance as a UF membrane, while pore size is also comparable with the UF membrane. The most probable number (MPN) also showed complete removal of total coliforms after passing through the R-RO membrane. These features made the R-RO membrane an excellent choice for drinking water treatment and wastewater treatment polishing steps. This solution can help developing nations to be efficient in resource recovery and contribute to the circular economy.

Human Action Recognition (HAR) has grown significantly because of its many uses, including real-time surveillance and human-computer interaction. Various variations in routine human actions make the recognition process of action more difficult. In this paper, we proposed a novel deep learning architecture known as Inverted Bottleneck Residual with Self-Attention (InBRwSA). The proposed architecture is based on two different modules. In the first module, 6-parallel inverted bottleneck residual blocks are designed, and each block is connected with a skip connection. These blocks aim to learn complex human actions in many convolutional layers. After that, the second module is designed based on the self-attention mechanism. The learned weights of the first module are passed to self-attention, extract the most essential features, and can easily discriminate complex human actions. The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. The trained model is employed in the testing phase for the feature extraction from the self-attention layer and passed to the shallow wide neural network classifier for the final classification. The HMDB51 and UCF 101 are frequently used as action recognition standard datasets. These datasets are chosen to allow for meaningful comparison with earlier research. UCF101 dataset has a wide range of activity classes, and HMDB51 has varied real-world behaviors. These features test the generalizability and flexibility of the presented model. Moreover, these datasets define the evaluation scope within a particular domain and guarantee relevance to real-world circumstances. The proposed technique is tested on both datasets, and accuracies of 78.80% and 91.80% were achieved, respectively. The ablation study demonstrated that a margin of error value of 70.1338 ± 3.053 (±4.35%) and 82.7813 ± 2.852 (±3.45%) for the confidence level 95%,1.960σx̄ is obtained for HMDB51 and UCF datasets respectively. The training time for the highest accuracy for HDMB51 and UCF101 is 134.09 and 252.10 seconds, respectively. The proposed architecture is compared with several pre-trained deep models and state-of-the-art (SOTA) existing techniques. Based on the results, the proposed architecture outperformed existing techniques.

This study aimed to examine global hypertensive heart disease (HHD) trends (1990–2019). Methods: We extracted data from the Global Burden of Disease (GBD) 2019 Study, encompassing 204 countries and territories. We analyzed the age-adjusted mortality rates (AAMRs), crude mortality, prevalence, years lived with disability (YLD), years of life lost (YLL), and disability-adjusted life years (DALY). Joinpoint Regression Analysis was used to calculate the Annual Percentage Change (APC), with p < 0.05 indicating statistical significance. Results were stratified by region, Socio-Demographic Index (SDI), and gender. Results: Globally, the crude mortality rate for HHD rose from 12.2 (95% UI 9.9–13.6) to 14.9 (95% UI 16.5–11.1) deaths/100,000 population (1990–2019), whereas the AAMR declined from 19.3 (95% UI 5.8–21.6) to 15.1 (95% UI 11.1–16.7). A Joinpoint Analysis revealed significant APC shifts: a decrease of −1.53% (p < 0.05) from 1990 to 2006, an increase of +0.60% (p < 0.05) from 2006 to 2015, and a subsequent decrease of −1.28% (p < 0.05) from 2006 to 2019. Eastern Europe showed the highest annual rate of change in AAMR at 0.9 (95% UI: −0.1 to 1.2), whereas the high-income Asia Pacific region experienced the largest decline at −0.66 (95% UI −0.27–−0.72). Central Asian males had an AAMR of 31.1 (95% UI 35.3–22.9) in 2019, and Sub-Saharan African females reached 38.5 (95% UI 48.4–26.3). YLL trended downward in both sexes (APC: −1.94, p < 0.05 in males; −1.81, p < 0.05 in females), yet YLD rose steadily in recent years, underscoring a growing chronic burden. The AAMR was highest in 2019 among Sub-Saharan African females, which is a particularly important area. Conclusions: Targeted strategies are essential to mitigate the escalating HHD burden.