Pub Date : 2026-01-01DOI: 10.1016/j.fmre.2024.06.003
Zhaoyuan Yu , Pei Du , Lin Yi , Wen Luo , Dongshuang Li , Binru Zhao , Longhui Li , Zhuo Zhang , Jun Zhang , Jiyi Zhang , Wenchao Ma , Changchun Huang , Shuo Li , Xiaolu Yan , Guonian Lv , Linwang Yuan
The coastal zone represents a critical intersection of naturally ecological and socio-economic processes. The abundance of data, models, and knowledge derived from various sources in coastal zones facilitates us to integrate them to better understand the evolution of coastal environments. This paper proposes a comprehensive framework of Coastal Zone Information Model (CZIM) to integrate multi-domain coastal information. The core idea of CZIM is to integrate multi-discipline coastal data, models, and knowledge for standardized governance, so as to carry, express, and apply coastal information by the digital system approaching the coastal digital twin. The CZIM framework includes four aspects: coastal data governance, model integration, knowledge engineering, and system construction. We perform a detailed literature review to illustrate the demands and challenges related to those four. The components of each aspect and their interlinks are introduced subsequently, and the future challenges of constructing coastal digital twins relying on CZIM are discussed. CZIM aims to strengthen the ability to organize, manage and apply refined coastal information to support more efficient, scientific, and intelligent decision-making in response to gradually volatile forces from both human activities and natural events, now and in the future. This paper provides a valuable reference for the next generation of coastal digitization in the target of the coastal digital twin.
{"title":"Coastal Zone Information Model: A comprehensive architecture for coastal digital twin by integrating data, models, and knowledge","authors":"Zhaoyuan Yu , Pei Du , Lin Yi , Wen Luo , Dongshuang Li , Binru Zhao , Longhui Li , Zhuo Zhang , Jun Zhang , Jiyi Zhang , Wenchao Ma , Changchun Huang , Shuo Li , Xiaolu Yan , Guonian Lv , Linwang Yuan","doi":"10.1016/j.fmre.2024.06.003","DOIUrl":"10.1016/j.fmre.2024.06.003","url":null,"abstract":"<div><div>The coastal zone represents a critical intersection of naturally ecological and socio-economic processes. The abundance of data, models, and knowledge derived from various sources in coastal zones facilitates us to integrate them to better understand the evolution of coastal environments. This paper proposes a comprehensive framework of Coastal Zone Information Model (CZIM) to integrate multi-domain coastal information. The core idea of CZIM is to integrate multi-discipline coastal data, models, and knowledge for standardized governance, so as to carry, express, and apply coastal information by the digital system approaching the coastal digital twin. The CZIM framework includes four aspects: coastal data governance, model integration, knowledge engineering, and system construction. We perform a detailed literature review to illustrate the demands and challenges related to those four. The components of each aspect and their interlinks are introduced subsequently, and the future challenges of constructing coastal digital twins relying on CZIM are discussed. CZIM aims to strengthen the ability to organize, manage and apply refined coastal information to support more efficient, scientific, and intelligent decision-making in response to gradually volatile forces from both human activities and natural events, now and in the future. This paper provides a valuable reference for the next generation of coastal digitization in the target of the coastal digital twin.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 281-289"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High Mountain Asia (HMA) has the largest volume of glaciers outside the polar region and protects approximately 800 million people in the downstream basins against water stress. HMA is facing rapid glacier melting and substantial glacier mass loss, reaching the peak of runoff (‘peak water’) in the following decades. In the present study, the timing of glacier peak water was calculated using a projected glacier runoff dataset forced by twelve General Circulation Models under the Shared Socioeconomic Pathway (SSP) scenarios. The dominant factors that influence the timing of peak water, such as glacial area, elevation, aspect, slope, latitude and debris thickness, were investigated using partial correlation and stratified analysis. Our results demonstrated that, for the entire HMA, glacier peak water was predicted to occur in 2028, 2052, 2057, and 2059 under SSP126, SSP260, SSP370, and SSP585, respectively. For each subregion, Hengduan Shan is projected to reach the earliest peak water in HMA in 2024, 2025, 2021, and 2024 under SSP126, SSP260, SSP370, and SSP585, respectively. In West Tianshan, glacier peak water is projected to occur in 2027, 2036, 2050, and 2050 under SSP126, SSP260, SSP370, and SSP585, respectively. In the West Kunlun, glacier peak water will occur in 2070 under SSP126 and 2080 under SSP245 but will not appear until 2100 under SSP370 and SSP585. Glacier elevation and latitude are highly correlated with peak water timing for the entire HMA, with the partial correlation coefficients being 0.48 and 0.47, respectively (P < 0.01). Additionally, earlier glacier peak water normally occurs in glaciers with a small area or steeper slope. Debris can also influence the timing of glacier peak water with a thinner debris cover (< 5 cm) leading to delayed peak water. Our findings indicated that glacier elevation and latitude are highly correlated with glacier peak water timing for the entire HMA.
{"title":"Variations in glacier peak water timing and its influencing factors in High-Mountain Asia","authors":"Haodong Lyu , Gonghuan Fang , Yaning Chen , Wenting Liang , Zewei Qiu , Yupeng Li , Weili Duan , Zhi Li","doi":"10.1016/j.fmre.2024.12.006","DOIUrl":"10.1016/j.fmre.2024.12.006","url":null,"abstract":"<div><div>High Mountain Asia (HMA) has the largest volume of glaciers outside the polar region and protects approximately 800 million people in the downstream basins against water stress. HMA is facing rapid glacier melting and substantial glacier mass loss, reaching the peak of runoff (‘peak water’) in the following decades. In the present study, the timing of glacier peak water was calculated using a projected glacier runoff dataset forced by twelve General Circulation Models under the Shared Socioeconomic Pathway (SSP) scenarios. The dominant factors that influence the timing of peak water, such as glacial area, elevation, aspect, slope, latitude and debris thickness, were investigated using partial correlation and stratified analysis. Our results demonstrated that, for the entire HMA, glacier peak water was predicted to occur in 2028, 2052, 2057, and 2059 under SSP126, SSP260, SSP370, and SSP585, respectively. For each subregion, Hengduan Shan is projected to reach the earliest peak water in HMA in 2024, 2025, 2021, and 2024 under SSP126, SSP260, SSP370, and SSP585, respectively. In West Tianshan, glacier peak water is projected to occur in 2027, 2036, 2050, and 2050 under SSP126, SSP260, SSP370, and SSP585, respectively. In the West Kunlun, glacier peak water will occur in 2070 under SSP126 and 2080 under SSP245 but will not appear until 2100 under SSP370 and SSP585. Glacier elevation and latitude are highly correlated with peak water timing for the entire HMA, with the partial correlation coefficients being 0.48 and 0.47, respectively (<em>P</em> < 0.01). Additionally, earlier glacier peak water normally occurs in glaciers with a small area or steeper slope. Debris can also influence the timing of glacier peak water with a thinner debris cover (< 5 cm) leading to delayed peak water. Our findings indicated that glacier elevation and latitude are highly correlated with glacier peak water timing for the entire HMA.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 324-334"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.fmre.2025.01.001
Tao Wang , Duoduo Mai , Han Shu , Jialu Hu , Yongtian Wang , Jiajie Peng , Jing Chen , Xuequn Shang
The emergence of single-cell RNA sequencing (scRNA-seq) technology has revolutionized the study of cellular heterogeneity at the single-cell level. However, existing methods for identifying subpopulations of cells in scRNA-seq data mainly rely on gene expression features, neglecting the valuable genomic information present in the raw sequencing data. To address this limitation, we propose an end-to-end deep clustering model called scCluster, which integrates single-cell gene expression profiles and expressed variant features derived from the raw scRNA-seq data to stratify cell subpopulations in cancer tissues. scCluster employs a joint optimization strategy that combines a zero-inflated negative binomial model-based dual-modal autoencoder with deep embedding clustering in the pre-training phase. This allows both gene expression profiles and variant features to be encoded into the same latent embedding space. In the fine-tuning stage, scCluster further enhances the discriminability of the latent representations by integrating deep soft K-means clustering and cross-instance guided contrastive clustering techniques. Our extensive evaluations reveal that scCluster surpasses state-of-the-art methods in multiple real-world cancer scRNA-seq datasets. The results also indicate that incorporating the expressed variant features alongside gene expressions substantially enhances the stratification of cell subpopulations in cancer single-cell research.
{"title":"Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants","authors":"Tao Wang , Duoduo Mai , Han Shu , Jialu Hu , Yongtian Wang , Jiajie Peng , Jing Chen , Xuequn Shang","doi":"10.1016/j.fmre.2025.01.001","DOIUrl":"10.1016/j.fmre.2025.01.001","url":null,"abstract":"<div><div>The emergence of single-cell RNA sequencing (scRNA-seq) technology has revolutionized the study of cellular heterogeneity at the single-cell level. However, existing methods for identifying subpopulations of cells in scRNA-seq data mainly rely on gene expression features, neglecting the valuable genomic information present in the raw sequencing data. To address this limitation, we propose an end-to-end deep clustering model called scCluster, which integrates single-cell gene expression profiles and expressed variant features derived from the raw scRNA-seq data to stratify cell subpopulations in cancer tissues. scCluster employs a joint optimization strategy that combines a zero-inflated negative binomial model-based dual-modal autoencoder with deep embedding clustering in the pre-training phase. This allows both gene expression profiles and variant features to be encoded into the same latent embedding space. In the fine-tuning stage, scCluster further enhances the discriminability of the latent representations by integrating deep soft K-means clustering and cross-instance guided contrastive clustering techniques. Our extensive evaluations reveal that scCluster surpasses state-of-the-art methods in multiple real-world cancer scRNA-seq datasets. The results also indicate that incorporating the expressed variant features alongside gene expressions substantially enhances the stratification of cell subpopulations in cancer single-cell research.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 88-98"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.fmre.2023.10.024
Boyi Cheng , Lei Chen , Lichang Zhou , Qingshan Lin , Jinqi Jiang , Hui Lu , Lei Miao , Xiaonan Feng , Zongping Wang , Guanghao Chen , Gang Guo
Biological nutrient (including nitrogen and phosphorus) removal is often hindered by the lack of organic carbon (C) sources, which can result in the excessive growth of glycogen-accumulating organisms (GAOs), even in sulfate-containing wastewater. Elemental sulfur (S0) has been considered as an economical and energy-efficient electron donor to achieve biological nutrient removal from wastewater. In this study, the long-term effects of C/S0 ratios on the competition between sulfur-mediated bacteria (SMB) and GAOs was investigated to explore the feasibility of using S0 to partially replace carbon and suppress the proliferation of GAOs in biological treatment systems. Four parallel bioreactors were continuously operated for approximately 100 days and fed a substrate consisting of 400, 200, 100, and 0 mg acetate-COD/L, in addition to 0.53 g S0/cycle (equal to 400 mg COD/L); the acetate-COD concentrations corresponded to C/S0 ratios of 0.28 (R1), 0.14 (R2), 0.07 (R3), and 0 (R4), respectively. The results showed that a relatively high C/S0 ratio of 0.28 (in R1) and low C/S0 ratios of 0.07 (in R3) and 0 (in R4) enhanced 1) S metabolism, especially anaerobic S0 reduction to form S2−, which was mediated by sulfate/sulfur-reducing bacteria (SRB/S0RB, e.g., Desulfobacter and Desulfuromonas), or 2) S0 oxidation to form sulfate, which was mediated by sulfur-oxidizing bacteria (SOB, e.g., Thiobacillus) to promote their growth over GAOs (e.g., Candidatus_Competibacter). However, when the C/S0 ratio was 0.14 in R2, this reactor displayed a GAO phenotype rather than a SMB phenotype since GAO communities have a higher acetate uptake rate than SMB. Thus, an appropriate amount of S0 addition supported the competitiveness of SMB over GAOs. Finally, the potential mechanism about competition between the two communities (SMB and GAOs) was revealed. This study provides a new mechanistic strategy to promote the proliferation of SMB over GAOs in carbon-deficient wastewater.
{"title":"Sulfur-mediated bacteria outperform glycogen-accumulating organisms in carbon-deficient wastewater: Key role of influent C/S0 ratios","authors":"Boyi Cheng , Lei Chen , Lichang Zhou , Qingshan Lin , Jinqi Jiang , Hui Lu , Lei Miao , Xiaonan Feng , Zongping Wang , Guanghao Chen , Gang Guo","doi":"10.1016/j.fmre.2023.10.024","DOIUrl":"10.1016/j.fmre.2023.10.024","url":null,"abstract":"<div><div>Biological nutrient (including nitrogen and phosphorus) removal is often hindered by the lack of organic carbon (C) sources, which can result in the excessive growth of glycogen-accumulating organisms (GAOs), even in sulfate-containing wastewater. Elemental sulfur (S<sup>0</sup>) has been considered as an economical and energy-efficient electron donor to achieve biological nutrient removal from wastewater. In this study, the long-term effects of C/S<sup>0</sup> ratios on the competition between sulfur-mediated bacteria (SMB) and GAOs was investigated to explore the feasibility of using S<sup>0</sup> to partially replace carbon and suppress the proliferation of GAOs in biological treatment systems. Four parallel bioreactors were continuously operated for approximately 100 days and fed a substrate consisting of 400, 200, 100, and 0 mg acetate-COD/L, in addition to 0.53 g S<sup>0</sup>/cycle (equal to 400 mg COD/L); the acetate-COD concentrations corresponded to C/S<sup>0</sup> ratios of 0.28 (R1), 0.14 (R2), 0.07 (R3), and 0 (R4), respectively. The results showed that a relatively high C/S<sup>0</sup> ratio of 0.28 (in R1) and low C/S<sup>0</sup> ratios of 0.07 (in R3) and 0 (in R4) enhanced 1) S metabolism, especially anaerobic S<sup>0</sup> reduction to form S<sup>2−</sup>, which was mediated by sulfate/sulfur-reducing bacteria (SRB/S<sup>0</sup>RB, e.g., <em>Desulfobacter and Desulfuromonas</em>), or 2) S<sup>0</sup> oxidation to form sulfate, which was mediated by sulfur-oxidizing bacteria (SOB, e.g<em>., Thiobacillus</em>) to promote their growth over GAOs (e.g., <em>Candidatus_Competibacter</em>). However, when the C/S<sup>0</sup> ratio was 0.14 in R2, this reactor displayed a GAO phenotype rather than a SMB phenotype since GAO communities have a higher acetate uptake rate than SMB. Thus, an appropriate amount of S<sup>0</sup> addition supported the competitiveness of SMB over GAOs. Finally, the potential mechanism about competition between the two communities (SMB and GAOs) was revealed. This study provides a new mechanistic strategy to promote the proliferation of SMB over GAOs in carbon-deficient wastewater.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 212-222"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139539045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.fmre.2024.03.004
Mengjie Hao , Yinghui Xie , Zhongshan Chen , Hui Yang , Geoffrey I.N. Waterhouse , Shengqian Ma , Xiangke Wang
Uranium extraction from seawater is a promising approach for ensuring continued uranium fuel supply to the nuclear power industry. However, extracting uranium by this route is challenging due to the low concentration of uranium, high ionic strength, and marine micro-organisms in seawater. Recently, a range of novel porous adsorbent materials have been developed for uranium extraction from ocean water. These adsorbents rely on specific pore characteristics and functional groups (hydroxyl, carboxyl, amidoxime, phosphate, etc.) to achieve a high affinity and selectivity for uranyl ions (UO22+) relative to other ions. Relying strongly on coordination principles, specific binding sites for uranium are assembled in these porous materials, with cooperative actions of several functional groups often used to achieve strong uranium capture and adsorption selectivity. In addition to traditional adsorbents, adsorption-photocatalytic and adsorption-electrocatalytic materials are also being pursued, which include both specific adsorption sites and photocatalytic or electrocatalytic moieties in their frameworks. These innovative strategies allow the conversion of uranyl ions into harvestable solid products (such as UO2 or Na2O(UO3·H2O)x) and result in high extraction efficiencies together with good biofouling resistance. This perspective aims to capture some of the recent breakthroughs in the design of porous materials for selective uranium extraction from seawater.
{"title":"Promising porous materials for uranium extraction from seawater","authors":"Mengjie Hao , Yinghui Xie , Zhongshan Chen , Hui Yang , Geoffrey I.N. Waterhouse , Shengqian Ma , Xiangke Wang","doi":"10.1016/j.fmre.2024.03.004","DOIUrl":"10.1016/j.fmre.2024.03.004","url":null,"abstract":"<div><div>Uranium extraction from seawater is a promising approach for ensuring continued uranium fuel supply to the nuclear power industry. However, extracting uranium by this route is challenging due to the low concentration of uranium, high ionic strength, and marine micro-organisms in seawater. Recently, a range of novel porous adsorbent materials have been developed for uranium extraction from ocean water. These adsorbents rely on specific pore characteristics and functional groups (hydroxyl, carboxyl, amidoxime, phosphate, etc.) to achieve a high affinity and selectivity for uranyl ions (UO<sub>2</sub><sup>2+</sup>) relative to other ions. Relying strongly on coordination principles, specific binding sites for uranium are assembled in these porous materials, with cooperative actions of several functional groups often used to achieve strong uranium capture and adsorption selectivity. In addition to traditional adsorbents, adsorption-photocatalytic and adsorption-electrocatalytic materials are also being pursued, which include both specific adsorption sites and photocatalytic or electrocatalytic moieties in their frameworks. These innovative strategies allow the conversion of uranyl ions into harvestable solid products (such as UO<sub>2</sub> or Na<sub>2</sub>O(UO<sub>3</sub>·H<sub>2</sub>O)<sub>x</sub>) and result in high extraction efficiencies together with good biofouling resistance. This perspective aims to capture some of the recent breakthroughs in the design of porous materials for selective uranium extraction from seawater.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 170-172"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140281154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.fmre.2023.06.016
Qi Zhang , Chenyang Hu , Xuan Pang
Stemming from the simultaneous activation among multiple metal centers, many multinuclear catalysts show markedly higher reaction rate and selectivity on a wide array of reactions. Inspired by these seminal discoveries, there has been a recent surge of interest in developing polymerization catalysts with three or more metal centers to achieve high activity, stereoselectivity and sequence controllability. In the multinuclear catalysts, the electron-absorbing effect between neighboring Lewis acid atoms was discovered to significantly enhance a multitude of catalytic properties. At the same time, the modification of the organic ligand structure can dramatically change the catalytic activity of the catalyst, widen the scope of copolymerization systems and simplify the catalytic system. In this review, the state-of-the-art design strategies, successful applications and catalytic performance of multinuclear organometallic catalysts are overviewed.
{"title":"Multinuclear catalyst: An efficient tool for the synthesis of polyesters and polycarbonates by ring-opening polymerization","authors":"Qi Zhang , Chenyang Hu , Xuan Pang","doi":"10.1016/j.fmre.2023.06.016","DOIUrl":"10.1016/j.fmre.2023.06.016","url":null,"abstract":"<div><div>Stemming from the simultaneous activation among multiple metal centers, many multinuclear catalysts show markedly higher reaction rate and selectivity on a wide array of reactions. Inspired by these seminal discoveries, there has been a recent surge of interest in developing polymerization catalysts with three or more metal centers to achieve high activity, stereoselectivity and sequence controllability. In the multinuclear catalysts, the electron-absorbing effect between neighboring Lewis acid atoms was discovered to significantly enhance a multitude of catalytic properties. At the same time, the modification of the organic ligand structure can dramatically change the catalytic activity of the catalyst, widen the scope of copolymerization systems and simplify the catalytic system. In this review, the state-of-the-art design strategies, successful applications and catalytic performance of multinuclear organometallic catalysts are overviewed.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 184-200"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135761662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.fmre.2025.07.014
Gang Xu, Tong Guo, Ai-Qun Li
Most structural design frameworks remain rooted in outdated assumptions: that hazards occur in isolation, materials do not degrade, and failure can be prevented through overdesign. In an era marked by accelerating climate volatility, cascading disasters, and mounting carbon constraints, such logic is increasingly untenable. From earthquake–flood sequences to heat-induced corrosion and permafrost collapse, modern infrastructure faces compound and evolving risks that current codes fail to anticipate. At the same time, conventional approaches often achieve safety through carbon-intensive construction, exacerbating the very environmental crises they must endure. This rethinking aligns with emerging paradigms in resilience engineering, disaster risk reduction, and adaptive infrastructure design, which similarly emphasize systems thinking, robustness, and long–term functionality under uncertainty. We argue for a fundamental redefinition of structural safety—one that prioritizes resilience over resistance, adaptability over rigidity, and sustainability over excess. This requires innovative tools (AI-driven diagnostics, lifecycle modeling frameworks), new materials (durable, repairable, low-carbon-footprint systems), and quantifiable metrics (recovery duration, embodied carbon emissions, residual functionality assessment). Structural engineers must now lead as strategists of climate-ready, socially responsive infrastructure. The goal of the next generation of design is not merely to ensure that structures survive,but that they serve, recover, and regenerate in a volatile century.
{"title":"Rethinking structural safety for a volatile century","authors":"Gang Xu, Tong Guo, Ai-Qun Li","doi":"10.1016/j.fmre.2025.07.014","DOIUrl":"10.1016/j.fmre.2025.07.014","url":null,"abstract":"<div><div>Most structural design frameworks remain rooted in outdated assumptions: that hazards occur in isolation, materials do not degrade, and failure can be prevented through overdesign. In an era marked by accelerating climate volatility, cascading disasters, and mounting carbon constraints, such logic is increasingly untenable. From earthquake–flood sequences to heat-induced corrosion and permafrost collapse, modern infrastructure faces compound and evolving risks that current codes fail to anticipate. At the same time, conventional approaches often achieve safety through carbon-intensive construction, exacerbating the very environmental crises they must endure. This rethinking aligns with emerging paradigms in resilience engineering, disaster risk reduction, and adaptive infrastructure design, which similarly emphasize systems thinking, robustness, and long–term functionality under uncertainty. We argue for a fundamental redefinition of structural safety—one that prioritizes resilience over resistance, adaptability over rigidity, and sustainability over excess. This requires innovative tools (AI-driven diagnostics, lifecycle modeling frameworks), new materials (durable, repairable, low-carbon-footprint systems), and quantifiable metrics (recovery duration, embodied carbon emissions, residual functionality assessment). Structural engineers must now lead as strategists of climate-ready, socially responsive infrastructure. The goal of the next generation of design is not merely to ensure that structures survive,but that they serve, recover, and regenerate in a volatile century.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 335-337"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01DOI: 10.1016/j.fmre.2024.11.026
Fangkun Sun , Zhilin Guo , Yangfan Lu , Jiang Li , Tian-Nan Ye , Hideo Hosono , Jiazhen Wu
Electrides are emerging materials that exhibit a unique electronic structure, where electrons, unbound to specific atomic nuclei, act as anions within periodic lattice vacancies. The most characteristic feature of an electride is its low work function (ΦWF < ∼3.5 eV), comparable to alkali metals, making it a highly promising electron donor in chemical reactions. In this paper, we summarized recent applications of variable electrides in various reactions, especially as catalysts. We thoroughly explored their unique behaviors and demonstrated their broad applicability in multiple reactions, such as selective hydrogenation, carbon-carbon coupling reactions, and electrocatalysis. In addition, we discussed the current challenges of electrides with active electron anions and highlighted their substantial potential for application in future advancements. This review provides fundamental guidance for utilizing high-performance electride-based materials in various chemical reactions, mainly focusing on heterogeneous catalysis.
{"title":"Electrides: Emerging electronic materials for catalysis","authors":"Fangkun Sun , Zhilin Guo , Yangfan Lu , Jiang Li , Tian-Nan Ye , Hideo Hosono , Jiazhen Wu","doi":"10.1016/j.fmre.2024.11.026","DOIUrl":"10.1016/j.fmre.2024.11.026","url":null,"abstract":"<div><div>Electrides are emerging materials that exhibit a unique electronic structure, where electrons, unbound to specific atomic nuclei, act as anions within periodic lattice vacancies. The most characteristic feature of an electride is its low work function (Φ<sub>WF</sub> < ∼3.5 eV), comparable to alkali metals, making it a highly promising electron donor in chemical reactions. In this paper, we summarized recent applications of variable electrides in various reactions, especially as catalysts. We thoroughly explored their unique behaviors and demonstrated their broad applicability in multiple reactions, such as selective hydrogenation, carbon-carbon coupling reactions, and electrocatalysis. In addition, we discussed the current challenges of electrides with active electron anions and highlighted their substantial potential for application in future advancements. This review provides fundamental guidance for utilizing high-performance electride-based materials in various chemical reactions, mainly focusing on heterogeneous catalysis.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 400-415"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Immunotherapy has revolutionized cancer treatment by leveraging the immune system to target tumors. However, its efficacy is often limited by the immunosuppressive tumor microenvironment and the development of resistance, leading to response rates of only 20%–30%. Ultrasound-targeted nanobubbles (UTN) combined with cancer immunotherapy present a promising solution to the limitations of current treatments. By utilizing the mechanical and biological effects of ultrasound, UTN improve drug delivery, reduce systemic toxicity, and modulate immune responses within the tumor microenvironment. Preclinical studies have shown that UTN combined with cancer immunotherapy can significantly increase the use of checkpoint inhibitors, tumor vaccines, and gene-based therapies, resulting in better tumor control. This article reviews the latest advancements, applications, and challenges of UTN combined with cancer immunotherapy, emphasizing the potential of UTN to overcome current therapeutic barriers and providing a forward-looking perspective on its translation into clinical practice.
{"title":"Recent advances in ultrasound-targeted nanobubbles combined with cancer immunotherapy: Mechanisms, applications, and challenges","authors":"Xueqin Chen , Lifan Xu , Chen Chen , Qizhao Huang , Jianjun Hu","doi":"10.1016/j.fmre.2024.10.017","DOIUrl":"10.1016/j.fmre.2024.10.017","url":null,"abstract":"<div><div>Immunotherapy has revolutionized cancer treatment by leveraging the immune system to target tumors. However, its efficacy is often limited by the immunosuppressive tumor microenvironment and the development of resistance, leading to response rates of only 20%–30%. Ultrasound-targeted nanobubbles (UTN) combined with cancer immunotherapy present a promising solution to the limitations of current treatments. By utilizing the mechanical and biological effects of ultrasound, UTN improve drug delivery, reduce systemic toxicity, and modulate immune responses within the tumor microenvironment. Preclinical studies have shown that UTN combined with cancer immunotherapy can significantly increase the use of checkpoint inhibitors, tumor vaccines, and gene-based therapies, resulting in better tumor control. This article reviews the latest advancements, applications, and challenges of UTN combined with cancer immunotherapy, emphasizing the potential of UTN to overcome current therapeutic barriers and providing a forward-looking perspective on its translation into clinical practice.</div></div>","PeriodicalId":34602,"journal":{"name":"Fundamental Research","volume":"6 1","pages":"Pages 489-497"},"PeriodicalIF":6.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}