{"title":"Does ESG disclosure enhance financial performance in the Pacific Alliance mining sector?","authors":"Víctor Josué Álvarez-Quiroz , Erick Enrique Quispe-Calderón","doi":"10.1016/j.grets.2025.100301","DOIUrl":"10.1016/j.grets.2025.100301","url":null,"abstract":"<div><div>The Pacific Alliance — comprising Peru, Chile, Mexico, and Colombia — ranked as the world’s leading copper mining bloc in 2024 and holds a significant share of critical and commodity minerals such as molybdenum, lithium, zinc, and fluorspar. This study investigates the effects of Bloomberg’s ESG (Environmental, Social, and Governance) disclosure scores — both overall and by individual pillars — on Tobin’s Q as a proxy for financial performance among mining companies in Pacific Alliance countries from 2015 to 2023. The analysis incorporates control variables including commodity share price, firm size, debt, and leverage, using a panel data pooled mean-group estimation approach, except for Colombia, where time-series data from only one firm was available. The findings indicate that Mexican companies align with the stakeholder theory, in which enhanced sustainable performance contributes positively to financial performance. In this context, ESG disclosure serves as a green signal in the stock market, when the share price is non-signal market. In contrast, firms in Peru, Chile, and Colombia appear to adhere more closely to shareholder theory, wherein increased ESG transparency is associated with a decline in Tobin’s Q, although share price emerges as the primary market signal positively influencing Tobin’s Q. All variables were found to contribute to a long-run equilibrium relationship for each company, except for the Colombian case. Based on our findings, we recommend that companies primarily guided by shareholder interests enhance their sustainable environmental, social, and governance (ESG) practices. This involves strengthening ESG disclosure strategies, adopting green technologies to reduce emissions and mitigate the environmental impact of tailings, and integrating ESG considerations into financial planning processes. Furthermore, promoting their listing on ESG-focused stock indices can help support the development of regulated ESG markets.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100301"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sustainable valorization of onion bulbs for the green synthesis of gold nanoparticles and catalytic degradation of methylene blue","authors":"Parawee Rattanakit , Kamonpan Wongyai , Bongkot Ngamsom , Pilan Saensuk","doi":"10.1016/j.grets.2025.100284","DOIUrl":"10.1016/j.grets.2025.100284","url":null,"abstract":"<div><div>The catalytic degradation of toxic synthetic dyes in wastewater remains a pressing environmental concern due to their adverse effects on ecosystems and public health. In this study, we present a green and sustainable method for synthesizing gold nanoparticles (AuNPs) using <em>Allium cepa</em> (onion) bulb extract — an agricultural byproduct with significant post-harvest and processing losses. The onion bulb extract served as a natural reducing and stabilizing agent, enabling the eco-friendly synthesis of AuNPs. The formation of AuNPs was evidenced by a ruby-red coloration and an absorption peak at 530 nm in UV–visible spectroscopy. Further characterization confirmed the production of ultrafine spherical nanoparticles (<span><math><mo>∼</mo></math></span>8 nm) with good colloidal stability (zetapotential: –24.40 mV). The biosynthesized AuNPs exhibited excellence catalytic activity toward the degradation of methylene blue, achieving 95% removal within 8 min. The reaction followed pseudo-first-order kinetics with a rate constant (<em>k</em>) of 0.3550 min<sup>−1</sup>. This study demonstrates the effective valorization of onion biomass into functional nanomaterials and highlights a sustainable pathway for wastewater treatment using green nanotechnology.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100284"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145694329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast-track decarbonization of existing diesel engines via Hydrogen-Dodecane dual-fuel retrofit: A machine learning and combustion kinetics framework","authors":"Amr Abbass","doi":"10.1016/j.grets.2026.100342","DOIUrl":"10.1016/j.grets.2026.100342","url":null,"abstract":"<div><div>This research introduces a hybrid modeling framework that combines intricate combustion dynamics with machine learning (ML) to facilitate the decarbonization and retrofitting of traditional diesel engines utilizing Hydrogen-Dodecane dual-fuel mixtures. A Cantera-based kinetic model was used to predict combustion stability, heat release, expansion power, efficiency, and emissions over a diverse array of fuel blends and injection timings. The findings indicated that injection angles duration (10°–15°) and moderate hydrogen enrichment produce maximum combustion performance, achieving a balance among ignition reliability, thermal efficiency, and emissions reduction. Optimal efficiency (56%) and power output (21.2 kW) were recorded at mid-range blending ratios under lean conditions, highlighting a significant interaction between fuel composition and combustion timing. Ensemble-based machine learning models were developed to enhance predictive capability by forecasting heat release and classifying combustion stability. Of the systems evaluated, the random forest regressor attained the highest predictive accuracy (R<span><math><mrow><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>895</mn></mrow></math></span>). The innovation of this work lies in the integration of high-fidelity kinetic modeling and machine learning for real-time predictive control of hydrogen-retrofitted engines, providing a technically sound approach to clean and adaptable decarbonized combustion systems.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100342"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advancing sustainable organic waste management: A comparative analysis of fixed media and conventional anaerobic digestion systems","authors":"Kreeraya Kittiwaraphan , Kittikorn Sasujit , Jutaporn Chanathaworn , Rameshprabu Ramaraj , Chen-yeon Chu , Rotjapun Nirunsin","doi":"10.1016/j.grets.2026.100339","DOIUrl":"10.1016/j.grets.2026.100339","url":null,"abstract":"<div><div>Organic waste is currently causing a huge challenge for the planet. For many years, managing waste was mostly about dumping it in landfills. On the other hand, anaerobic digestion is now proving to be a good solution for turning waste into usable energy. This study focused on understanding biogas formation from organic substrates of food wastes and cow dung slurry through plastic material in a continuously stirred tank reactor (CSTR). The main purpose of the experiment was to turn waste into biogas through semi-continuous anaerobic digestion in a pilot reactor of 1000 L, all at regular ambient temperature. At 4 points inside the digester, 100 units of plastic media, made for high porosity, were installed. The mixer blade in the tank was designed to ensuring continuous mixing of feedstock and microbial communities. The experiments involved maintaining a retention time of 30 days and an organic loading rate of 1 kg COD/m<sup>3</sup><span><math><mi>⋅</mi></math></span> day. It was found that using fixed media helped produce more biogas, giving an average output of 300 liters each day. The system produced a maximum amount of 67.3% methane, demonstrating good conversion of organic waste into energy. The treatment system reached high reduction rates for COD, TS, and VS, which were 63.64%, 66.68%, and 67.76%, respectively. Based on the positive findings, a local prototype biogas system was formed to safely process family organic waste and fuel projects for renewable energy.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100339"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reinventing solar mobility: A meta-analysis and innovation synthesis of PCM-based PV cooling for EV charging deployment","authors":"Zainal Arifin , Singgih Dwi Prasetyo , Yuki Trisnoaji , Dominicus Danardono Dwi Prija Tjahjana , Chico Hermanu Brillianto Apribowo","doi":"10.1016/j.grets.2026.100343","DOIUrl":"10.1016/j.grets.2026.100343","url":null,"abstract":"<div><div>The rapid increase in electric-vehicle (EV) adoption across emerging economies is challenged by weak-grid conditions, high ambient temperatures, and limited investment capacity, making conventional charging infrastructure economically and operationally constrained. Phase Change Materials (PCM) integrated into photovoltaic (PV) systems offer a promising thermal-management solution to enhance solar-powered EV charging performance under these conditions. This review employs a combined bibliometric analysis, PRISMA-guided systematic screening, and meta-analysis of 50 high-quality studies published between 2015 and 2025. Random-effects modeling, meta-regression, and cross-study thematic synthesis were employed to evaluate the thermal behavior of PCM, PV efficiency gains, techno-economic feasibility, policy interactions, and innovation ecosystem readiness. Results indicate that PCM cooling achieves an average PV temperature reduction of 24–28 °C, resulting in a 7% efficiency improvement and an 11% increase in electrical output, with low heterogeneity in electrical metrics. Techno-economic comparisons show declining global costs for PV, storage, and PCM materials, improving the financial viability of integrated solar–storage–PCM charging systems. However, adoption remains limited by high capital risk, weak policy feedback mechanisms, and fragmented innovation ecosystems across emerging markets. The analysis demonstrates that technical feasibility alone is insufficient without supportive business models and enabling regulatory frameworks. In conclusion, PCM-enhanced PV systems represent a robust thermal-management strategy with clear performance and economic benefits for solar-powered EV charging. Scalable deployment requires an integrated policy design, investment de-risking instruments, localized value chain development, and long-term empirical validation.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100343"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Field survey of farming practices in onion farms in Morocco and diagnosis of ability to move toward agroecological practices","authors":"Yasmine Elouattassi , Mohamed Ferioun , Aziza Irhza , Naima El Ghachtouli , Khalid Derraz , Fouad Rachidi","doi":"10.1016/j.grets.2025.100298","DOIUrl":"10.1016/j.grets.2025.100298","url":null,"abstract":"<div><div>This study aimed to investigate onion (<em>Allium cepa</em> L.) production practices in the Fez–Meknes region of Northern Morocco and explore the potential for adopting an agroecological model. Field visits and interviews were conducted in seven provinces, involving 211 farmers aged 25 to over 65 years. The study assessed farm characteristics, farming practices, and farmers’ perspectives on agroecology. Most farmers (54.5%) were illiterate, with farm sizes ranging from 4 to 12 ha, predominantly in the 4–8 ha range. A majority (80.57%) practiced crop rotation, including potatoes, beans, and wheat, while others engaged in monoculture and crop associations with olives and almonds. Farmers noted negative effects of monoculture, such as decreased quality, soil erosion, and pest resistance, while crop rotation improved yield and quality. Pests such as powdery mildew and thrips, as well as weeds, were common challenges. Conventional tillage and drip irrigation were widely used. Fertilization practices varied, with 55.45% using only mineral fertilizers. Most farmers (84.46%) were unaware of agroecology, citing concerns over low productivity and lack of demand for organic products. After learning about agroecology, 54.98% expressed interest in adopting this approach. These findings offer new insights into onion farming and agroecology in Central Morocco and North Africa.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100298"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145652045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ESG emphasis of top companies in East and Southeast Asian countries unveiled by deep learning","authors":"Chao Li, Alexander Ryota Keeley, Shunsuke Managi","doi":"10.1016/j.grets.2025.100296","DOIUrl":"10.1016/j.grets.2025.100296","url":null,"abstract":"<div><div>Environmental, social, and governance (ESG) considerations are becoming increasingly vital in evaluating corporate performance and addressing global challenges. This study examines the ESG emphasis of leading companies in eight East and Southeast Asian countries through the analysis of 480 corporate reports published in 2024. By employing the Text Match Pre-trained Transformer (TMPT) model, which features advanced zero-shot learning capabilities with 519,939,541 parameters for multi-language analyses, we investigate the relatedness of report contents to 13 ESG-related topics across environmental, social, and economic dimensions. This zero-shot framework enables accurate and language-independent ESG analysis without the need for task-specific fine-tuning, allowing consistent comparison across countries. Our findings reveal that economic topics, including governance risk, production cost, and economic ripple effect, dominate corporate emphasis, while significant regional variations exist. Specifically, South Korean companies prioritize environmental and social issues, whereas Chinese firms focus more heavily on economic aspects. Japanese corporations demonstrate a balanced pattern, emphasizing work environment and domestic job creation, while companies in Indonesia, Malaysia, and the Philippines emphasize community-related topics and human rights. This research highlights the capabilities of AI-driven models in investigating specific patterns in corporate ESG emphasis across multilingual datasets. By providing a detailed understanding of regional ESG priorities and tendencies, this study demonstrates emphasis variations among countries, sectors, and topics to support societal efforts towards accountability and sustainable development.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100296"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145652046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Economic assessment of biodiesel pathways for carbon neutrality: Scenario analysis of China’s transportation sector","authors":"Chuangbin Chen , Bo Zhang , Song Yang","doi":"10.1016/j.grets.2025.100322","DOIUrl":"10.1016/j.grets.2025.100322","url":null,"abstract":"<div><div>The advancement of global endeavors to mitigate climate change is largely influenced by developments within China’s transportation sector. This study focuses on the crucial role of biodiesel as a biofuel in China’s transportation sector and its significant contributions to China’s carbon neutral target. Employing the Long-range Energy Alternative Planning System, this paper formulates five distinct scenarios encompassing the prevailing trend, the promotion of B5 (5% biodiesel blend) and B10 (10% biodiesel blend), China’s existing policy framework, European Union policy portfolio, as well as alternative biofuels. Our analysis reveals that all scenarios exhibit varying degrees of CO2 emissions reduction by the year 2040, with the EU scenario achieving the largest absolute reduction in emissions (about 8.6% of China’s peak annual emissions). The B5-B10 scenario presents a more significant reduction in CO2 emissions compared with the alternative biofuel scenario, although it proves to be less effective in addressing other pollutant emissions. Furthermore, through policy instruments such as a 70% value-added tax (VAT) rebate and informal regulations driven by public participation in waste cooking oil recycling, China could reduce biodiesel production costs by approximately $1,800 per ton annually. These findings underscore the global implications of China’s low-carbon transportation strategy and highlight the impact of integrating both formal environmental policies and informal public engagement in shaping the sustainable development of China’s transportation sector.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100322"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145797948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ade Gafar Abdullah , Samsu Arif , Muhammad Kunta Biddinika , Reza Nugraha , Dadang Mohamad
{"title":"Sustainable planning of EV charging infrastructure in urban regions: A hybrid GIS-MCDM approach for West Java, Indonesia","authors":"Ade Gafar Abdullah , Samsu Arif , Muhammad Kunta Biddinika , Reza Nugraha , Dadang Mohamad","doi":"10.1016/j.grets.2026.100348","DOIUrl":"10.1016/j.grets.2026.100348","url":null,"abstract":"<div><div>Rapid urbanization and increasing energy demand have intensified environmental pressures, particularly in the transportation sector, which remains one of the largest contributors to greenhouse gas emissions. Although electric vehicles (EVs) represent a cleaner alternative, their widespread adoption in developing countries is constrained by insufficient and poorly planned charging infrastructure. This study introduces a hybrid Geographic Information System (GIS) and Fuzzy Analytical Hierarchy Process (F-AHP) framework for optimizing Electric Vehicle Charging Station (EVCS) site selection in West Java, Indonesia, a densely populated and hazard-prone region. Eighteen technical, environmental, social, and disaster-related criteria were evaluated through expert weighting and spatial overlay analysis to develop a disaster-integrated suitability map. The results show that only 5.02% (<span><math><mo>≈</mo></math></span>2079 km<sup>2</sup>) of the province is suitable for EVCS deployment, primarily concentrated in lowland urban areas such as Bogor, Bekasi, and Bandung, while 94.98% is unsuitable due to steep topography, active faults, and flood-prone zones. The integration of AHP and F-AHP enhances analytical precision by addressing uncertainty and expert subjectivity in complex decision-making environments. Theoretically, this research bridges a critical gap between sustainable mobility planning and disaster risk science by demonstrating the adaptability of fuzzy-based MCDM in resilient infrastructure development. Practically, the proposed model serves as a decision-support tool for policymakers, the national electric utility company, and the Ministry of Energy and Mineral Resources to guide spatially equitable and disaster-resilient EVCS deployment aligned with Indonesia’s net-zero emission targets.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100348"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Farah T. Jasim , Mohammad F. Abid , Saba A. Gheni , Kosar Hikmat Hama Aziz , Asawer A. Alwaasiti , Amer A. Abdulrahman , Islam Md Rizwanul Fattah , Kui Zhang , Anh N. Phan , Adam P. Harvey
{"title":"Hydrogen-driven enhancement of CO2 splitting in a non-thermal plasma reactor for sustainable carbon utilization","authors":"Farah T. Jasim , Mohammad F. Abid , Saba A. Gheni , Kosar Hikmat Hama Aziz , Asawer A. Alwaasiti , Amer A. Abdulrahman , Islam Md Rizwanul Fattah , Kui Zhang , Anh N. Phan , Adam P. Harvey","doi":"10.1016/j.grets.2026.100347","DOIUrl":"10.1016/j.grets.2026.100347","url":null,"abstract":"<div><div>As the global carbon crisis worsens, we need the technology which can evolve from capturing carbon to efficiently using it. Dielectric barrier discharge (DBD) systems under mild conditions, a type of non-thermal plasma (NTP) reactor, provide a promising electrified route to CO<sub>2</sub> splitting. However, their large-scale application is curtailed due to their low energy efficiency and modest CO<sub>2</sub> conversion. The study reveals that the radical-assisted dissociation channels are activated by the controlled addition of H<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>\u0000 (4–15 vol%) to CO<sub>2</sub> feed. By intentionally adjusting discharge power (10–40 W) and residence time (6–26 s), our study revealed that H<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> co-feeding helps in the formation of H<span><math><msup><mrow></mrow><mrow><mi>⋅</mi></mrow></msup></math></span> and OH<span><math><msup><mrow></mrow><mrow><mi>⋅</mi></mrow></msup></math></span>. This, in turn reduces the activation barrier of CO<sub>2</sub> cleavage and influences the distribution of vibrational excitation and electron energy. Energy efficiency has improved by around 38%. A rise in H<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> concentration lowers total conversion of CO<sub>2</sub> due to rise in radical recombination. Results of the BOLSIG<span><math><msup><mrow></mrow><mrow><mo>+</mo></mrow></msup></math></span> simulation indicate that the values of the electron temperature and the reduced electric field (E/N) experience distinct shifts which help rationalize the dual behaviour of Hydrogen as a reaction enhancer and quencher. These results provide design principles for next-generation electrified reactors with optimized co-feeding and power-modulation strategies, establishing hydrogen-assisted plasma catalysis as a strategic path towards energy-efficient CO2 utilization.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 2","pages":"Article 100347"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}