Brain ResearchPub Date : 2025-08-15Epub Date: 2025-05-19DOI: 10.1016/j.brainres.2025.149685
Jian Li, Cai Wang, John H Zhang, Jian-Mei Cai, Yun-Peng Cao, Xue-Jun Sun
{"title":"Expression of concern: \"Hydrogen-rich saline improves memory function in a rat model of amyloid-beta-induced Alzheimer's disease by reduction of oxidative stress\" [BRAIN RES, Volume 1328 (2010) 152-161].","authors":"Jian Li, Cai Wang, John H Zhang, Jian-Mei Cai, Yun-Peng Cao, Xue-Jun Sun","doi":"10.1016/j.brainres.2025.149685","DOIUrl":"https://doi.org/10.1016/j.brainres.2025.149685","url":null,"abstract":"","PeriodicalId":9083,"journal":{"name":"Brain Research","volume":"1861 ","pages":"149685"},"PeriodicalIF":2.7,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Economic, ecological and social perspectives of industrial hemp cultivation in Germany: A qualitative analysis.","authors":"Marius Michels, Adrian Brinkmann, Oliver Mußhoff","doi":"10.1016/j.jenvman.2025.126117","DOIUrl":"10.1016/j.jenvman.2025.126117","url":null,"abstract":"<p><p>Hemp cultivation is experiencing a resurgence in Europe, with the European Commission identifying it as a strategic crop for achieving Green Deal objectives. This study investigates opportunities and challenges of hemp cultivation from German farmers' perspectives across all three sustainability pillars. We conducted qualitative interviews with 14 agricultural enterprises across northern Germany in 2024, analyzing data through deductive category formation. Economic findings reveal opportunities through diversified revenue streams and reduced input costs, though scale requirements and market uncertainties present challenges. Ecologically, farmers confirm hemp's benefits for soil health and reduced chemical inputs, while noting specific management requirements for water and soil conditions. Social acceptance is improving when hemp is effectively distinguished from the drug cannabis, though regulations and conservative attitudes remain barriers for adoption. Success in hemp cultivation requires establishing stable market structures, developing region-specific management practices, and implementing effective knowledge transfer programs. This study provides the first comprehensive analysis of European farmers' experiences with hemp cultivation and offers practical insights for policymakers, farmers, and industry stakeholders while connecting farmer perspectives with European Green Deal objectives.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"389 ","pages":"126117"},"PeriodicalIF":8.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144293087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francisco José Castillo-Díaz, Luis J Belmonte-Ureña, Francisco Jesús Gálvez-Sánchez, Francisco Camacho-Ferre
{"title":"Sustainable technological innovations in agriculture: Financial challenges and investment priorities under the European Green Deal.","authors":"Francisco José Castillo-Díaz, Luis J Belmonte-Ureña, Francisco Jesús Gálvez-Sánchez, Francisco Camacho-Ferre","doi":"10.1016/j.jenvman.2025.126150","DOIUrl":"10.1016/j.jenvman.2025.126150","url":null,"abstract":"<p><p>This study explores the important financial challenges faced by Spanish agricultural and livestock companies to meet stringent environmental regulations without compromising their competitiveness. Using a Delphi method integrated with a systematic literature review, the research identifies key sustainable technological innovations (STIs) that require significant financial investment. Priority STIs include renewable energy sources, water use efficiency, by-product management, alternative fertilizers, and digital technologies, among others, each of which plays a key role in mitigating environmental impacts and aligning with overarching European sustainability frameworks, notably the European Green Deal and the 2030 Agenda for Sustainable Development. The findings support the formulation of specific policy recommendations aimed at overcoming the financial constraints that hinder the adoption of STIs. These include designing progressive financing schemes, launching green credit lines with subsidized interest rates, and increasing agri-environmental subsidies linked to STIs adoption. Furthermore, the study advocates the expansion of public-private investment frameworks and the establishment of technical advisory services to support producers in the selection, integration and implementation of appropriate technologies. These measures are essential to reduce economic barriers and accelerate the sector's technological transition to greater environmental and economic resilience.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"389 ","pages":"126150"},"PeriodicalIF":8.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144293137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The impact of green finance reform and innovation pilot zones on corporate pollution and carbon reduction: From the perspective of dual objective constraints.","authors":"Min Fan, Weixuan Liu, Di Yao","doi":"10.1016/j.jenvman.2025.126110","DOIUrl":"10.1016/j.jenvman.2025.126110","url":null,"abstract":"<p><p>This paper explores the impact of green finance reform and innovation pilot zones on corporate pollution and carbon reduction based on panel data of A-share listed enterprises from 2010 to 2022. The study finds that green finance reform and innovation pilot zones promote the synergistic effects of corporate pollution and carbon reduction, with mechanisms such as alleviating financing constraints, promoting environmental investment, and enhancing green technological innovation playing important roles. The effects are more pronounced for heavily polluting enterprises, high-tech enterprises, and enterprises cities in low-carbon pilot with environmental courts and eastern area. Under effective economic and environmental objective constraints, green finance reform and innovation pilot zones will provide greater \"acceleration\" for corporate pollution and carbon reduction. The study indicates that green financing serves as a viable strategy to enhance the combined impact of corporate efforts in reducing both pollution and carbon emissions. It also represents a practical approach to simultaneously achieving economic development and ecological environmental goals.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"389 ","pages":"126110"},"PeriodicalIF":8.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144293138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Auto-photocatalytic valorization of ZnS into ZnS/ZnO nanocomposite using O<sub>3</sub>/UV oxidation for photocatalytic dye degradation.","authors":"Jamshid Behin, Pegah Amiri, Sahar Ghabaee","doi":"10.1016/j.jenvman.2025.126166","DOIUrl":"10.1016/j.jenvman.2025.126166","url":null,"abstract":"<p><p>Cost-effective valorization of zinc sulfide (ZnS), by-product from desulfurization of zinc oxide (ZnO), poses a significant challenge due to energy requirement under high temperature and reaction time. This study introduces an innovative synthesis of ZnS/ZnO nanocomposites (NCs) from ZnS nanoparticles (NPs) for environmental remediation. Aqueous colloidal solution of ZnS NPs (10 g/L) was oxidized in an airlift photoreactor (5 L) at room-temperature using ozone (O<sub>3</sub>) and ozone/ultraviolet (O<sub>3</sub>/UV), respectively. The effects of pH (3-11), time (10-90 min), and oxidation modes were explored on oxygen content (OC) of NCs. The optimization results using RSM showed that higher pHs and longer reaction times led to increased OC of NCs up to 7.14 and 11.12 wt% in O<sub>3</sub> and O<sub>3</sub>/UV oxidation, respectively. Interaction of O<sub>3</sub>/UV and ZnS exerts a dual-effect involving O<sub>3</sub>-induced oxidation of ZnS, and promoted-photocatalytic role of ZnS precursor (auto-photocatalytic effect). This effect facilitates ZnS to ZnO conversion and enhances reaction kinetics across a broader pH range. Optical bandgap analysis revealed a decrease in the bandgap energy from 3.70 eV for ZnS NPs to 3.41 eV for ZnS/ZnO NCs synthesized under O<sub>3</sub>/UV (pH: 11 and time: 90 min). The proposed method was subsequently applied to spent ZnS NPs, yielding in ZnS/ZnO NCs with an OC of 9.32 wt%. The NCs synthesized from virgin and spent ZnS NPs were used for photocatalytic degradation of Congo red dye and the efficiencies of 91 and 98 % were achieved, respectively. Both NCs demonstrated reusable and environmentally friendly waste valorization, retaining 62-72 % efficiency after four recycling cycles. Cost-effectiveness of the suggested approach was also demonstrated in photocatalytic dye degradation.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"389 ","pages":"126166"},"PeriodicalIF":8.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144300903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance analysis of machine learning algorithms for the prediction of disinfection byproducts formation during chlorination: Effect of background water characteristics.","authors":"Gamze Ersan, Eda Goz, Tanju Karanfil","doi":"10.1016/j.jenvman.2025.126144","DOIUrl":"10.1016/j.jenvman.2025.126144","url":null,"abstract":"<p><p>This study investigated the comparison of the nonlinear machine learning algorithms and linear regression models to predict the formation of trihalomethanes (THM4), haloacetic acids (HAA5 and HAA9), and haloacetonitriles (HAN4 and HAN6) under uniform formation conditions in chlorinated waters. A wide range of water sources including wastewater effluent organic matters (EfOM), laboratory grown algal organic matters (AOM) samples from different algal species, and raw/treated/isolated natural organic matter (NOM) samples were selected to investigate background water effect on the model performance. Models for THM4, HAA5, HAA9, HAN4 and HAN6 formation were developed for all water sources combined (including NOM, AOM, and EfOM-impacted waters) and for NOM separately. The results showed that Least squares support vector machine (LS-SVM) delivered the best performance for both regulated THM (R<sup>2</sup><sub>train</sub>/R<sup>2</sup><sub>test</sub>: 0.92/0.80) and HAA5 (R<sup>2</sup><sub>train</sub>/R<sup>2</sup><sub>test</sub>: 0.91/0.72), while Kernel extreme learning machine (KELM) outperformed the other models for unregulated HAN4 (R<sup>2</sup><sub>train</sub>/R<sup>2</sup><sub>test</sub>: 0.89/0.70) and HAN6 (R<sup>2</sup><sub>train</sub>/R<sup>2</sup><sub>test</sub>: 0.91/0.41), across all water sources. For individual NOM waters, the Artificial neural network (ANN) model outperformed in predicting THMs (R<sup>2</sup><sub>train</sub>/R<sup>2</sup><sub>test</sub>: 0.97/0.94), HAA9 (R<sup>2</sup><sub>train</sub>/R<sup>2</sup><sub>test</sub>: 0.92/0.84), HAN4 (R<sup>2</sup><sub>train</sub>/R<sup>2</sup><sub>test</sub>: 0.98/0.96), and HAN6 (R<sup>2</sup><sub>train</sub>/R<sup>2</sup><sub>test</sub>: 0.98/0.89), emphasizing its ability to generalize across narrower, more specific datasets. This suggests that while LS-SVM and KELM models are more effective for both regulated and unregulated disinfection byproducts (DBPs) modeling as the variability in water source characteristics increases, the ANN model excels for more homogeneous DBP precursor types. These findings indicate the importance of selecting the appropriate modeling approach and the characteristics of the datasets for DBP modeling.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"389 ","pages":"126144"},"PeriodicalIF":8.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144300915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}