National Science ReviewPub Date : 2024-12-14eCollection Date: 2025-01-01DOI: 10.1093/nsr/nwae437
Panlong Li, Stefan Kaskel
{"title":"Non-linear ion transport in nanopores for the design of ultracapacitive ionic memristors.","authors":"Panlong Li, Stefan Kaskel","doi":"10.1093/nsr/nwae437","DOIUrl":"10.1093/nsr/nwae437","url":null,"abstract":"","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"12 1","pages":"nwae437"},"PeriodicalIF":16.3,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11702829/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143008593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
National Science ReviewPub Date : 2024-12-12eCollection Date: 2024-12-01DOI: 10.1093/nsr/nwae457
Yi-Xiang Chen, Kun Zhou, Qiang He, Yong-Fei Zheng, Hans-Peter Schertl, Kun Chen
{"title":"Reply to comment by Compagnoni <i>et al.</i> on \"First finding of continental deep subduction in the Sesia Zone of Western Alps and implications for subduction dynamics\".","authors":"Yi-Xiang Chen, Kun Zhou, Qiang He, Yong-Fei Zheng, Hans-Peter Schertl, Kun Chen","doi":"10.1093/nsr/nwae457","DOIUrl":"10.1093/nsr/nwae457","url":null,"abstract":"","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"11 12","pages":"nwae457"},"PeriodicalIF":16.3,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11694658/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142921890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
National Science ReviewPub Date : 2024-12-12eCollection Date: 2024-12-01DOI: 10.1093/nsr/nwae454
Roberto Compagnoni, Mattia Gilio, Stefano Ghignone, Emanuele Scaramuzzo, Alessia Borghini, Marco Bruno
{"title":"Comment on \"First finding of continental deep subduction in the Sesia Zone of Western Alps and implications for subduction dynamics\".","authors":"Roberto Compagnoni, Mattia Gilio, Stefano Ghignone, Emanuele Scaramuzzo, Alessia Borghini, Marco Bruno","doi":"10.1093/nsr/nwae454","DOIUrl":"10.1093/nsr/nwae454","url":null,"abstract":"","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"11 12","pages":"nwae454"},"PeriodicalIF":16.3,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11724474/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142971659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
National Science ReviewPub Date : 2024-12-11eCollection Date: 2025-02-01DOI: 10.1093/nsr/nwae458
Shuo Wang, Wei Zhi, Shengjie Li, Tao Lyu, Guodong Ji
{"title":"Sustainable management of riverine N<sub>2</sub>O emission baselines.","authors":"Shuo Wang, Wei Zhi, Shengjie Li, Tao Lyu, Guodong Ji","doi":"10.1093/nsr/nwae458","DOIUrl":"10.1093/nsr/nwae458","url":null,"abstract":"<p><p>The riverine N<sub>2</sub>O fluxes are assumed to linearly increase with nitrate loading. However, this linear relationship with a uniform EF<sub>5r</sub> is poorly constrained, which impedes the N<sub>2</sub>O estimation and mitigation. Our meta-analysis discovered a universal N<sub>2</sub>O emission baseline (EF<sub>5r</sub> = k/[NO<sub>3</sub> <sup>-</sup>], k = 0.02) for natural rivers. Anthropogenic impacts caused an overall increase in baselines and the emergence of hotspots, which constitute two typical patterns of anthropogenic sources. The k values of agricultural and urban rivers increased to 0.09 and 0.05, respectively, with 11% and 14% of points becoming N<sub>2</sub>O hotspots. Priority control of organic and NH<sub>4</sub> <sup>+</sup> pollution could eliminate hotspots and reduce emissions by 51.6% and 63.7%, respectively. Further restoration of baseline emissions on nitrate removal is a long-term challenge considering population growth and declining unit benefits (ΔN-N<sub>2</sub>O/N-NO<sub>3</sub> <sup>-</sup>). The discovery of EF lines emphasized the importance of targeting hotspots and managing baseline emissions sustainably to balance social and environmental benefits.</p>","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"12 2","pages":"nwae458"},"PeriodicalIF":16.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11745158/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143008141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
National Science ReviewPub Date : 2024-12-11eCollection Date: 2025-03-01DOI: 10.1093/nsr/nwae456
Taole Liu, Wei He, Zhaomin Zhong, Chenchen Lu, Lianxin Wu, Ziming Wang, William Kojo Smith, Quan Shi, Qiaoming Long, Han Wang
{"title":"The circadian clock orchestrates spermatogonial differentiation and fertilization by regulating retinoic acid signaling in vertebrates.","authors":"Taole Liu, Wei He, Zhaomin Zhong, Chenchen Lu, Lianxin Wu, Ziming Wang, William Kojo Smith, Quan Shi, Qiaoming Long, Han Wang","doi":"10.1093/nsr/nwae456","DOIUrl":"10.1093/nsr/nwae456","url":null,"abstract":"<p><p>The circadian clock generates and maintains ∼24-hour oscillations in almost all organs. The testis, however, remains mysterious, without a clear understanding of its circadian functions. Our time-series transcriptome analysis reveals more than 1000 rhythmically expressed genes in the zebrafish and mouse testes, respectively. Canonical circadian clock genes are rhythmically expressed in Sertoli cells and regulate retinoic acid (RA) production, which is also evidenced by their co-expression with RA synthesis genes in single Sertoli cells. Genetic and pharmacological manipulations and temporal desynchronization revealed that the circadian clock-regulated RA signaling synchronizes spermatogonial differentiation via <i>zbtb16a</i> and promotes fertilization via <i>izumo1</i> in zebrafish. Our findings indicate that the testicular circadian clock contributes to reproduction in a cell-specific manner through RA signaling, highlighting circadian roles in male fertility.</p>","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"12 3","pages":"nwae456"},"PeriodicalIF":16.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11884735/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143572987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A deep learning framework for <i>in silico</i> screening of anticancer drugs at the single-cell level.","authors":"Peijing Zhang, Xueyi Wang, Xufeng Cen, Qi Zhang, Yuting Fu, Yuqing Mei, Xinru Wang, Renying Wang, Jingjing Wang, Hongwei Ouyang, Tingbo Liang, Hongguang Xia, Xiaoping Han, Guoji Guo","doi":"10.1093/nsr/nwae451","DOIUrl":"10.1093/nsr/nwae451","url":null,"abstract":"<p><p>Tumor heterogeneity plays a pivotal role in tumor progression and resistance to clinical treatment. Single-cell RNA sequencing (scRNA-seq) enables us to explore heterogeneity within a cell population and identify rare cell types, thereby improving our design of targeted therapeutic strategies. Here, we use a pan-cancer and pan-tissue single-cell transcriptional landscape to reveal heterogeneous expression patterns within malignant cells, precancerous cells, as well as cancer-associated stromal and endothelial cells. We introduce a deep learning framework named Shennong for <i>in silico</i> screening of anticancer drugs for targeting each of the landscape cell clusters. Utilizing Shennong, we could predict individual cell responses to pharmacologic compounds, evaluate drug candidates' tissue damaging effects, and investigate their corresponding action mechanisms. Prioritized compounds in Shennong's prediction results include FDA-approved drugs currently undergoing clinical trials for new indications, as well as drug candidates reporting anti-tumor activity. Furthermore, the tissue damaging effect prediction aligns with documented injuries and terminated discovery events. This robust and explainable framework has the potential to accelerate the drug discovery process and enhance the accuracy and efficiency of drug screening.</p>","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"12 2","pages":"nwae451"},"PeriodicalIF":16.3,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11771446/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143053079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
National Science ReviewPub Date : 2024-12-09eCollection Date: 2025-01-01DOI: 10.1093/nsr/nwae450
Shunji Xie, Ye Wang
{"title":"Non-phosgene route: catalytic carbonylation of amines to form unsymmetrical ureas.","authors":"Shunji Xie, Ye Wang","doi":"10.1093/nsr/nwae450","DOIUrl":"https://doi.org/10.1093/nsr/nwae450","url":null,"abstract":"","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"12 1","pages":"nwae450"},"PeriodicalIF":16.3,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11708213/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142951452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
National Science ReviewPub Date : 2024-12-09eCollection Date: 2025-02-01DOI: 10.1093/nsr/nwae446
Xutao Zhang, Ke Gui, Hengheng Zhao, Nanxuan Shang, Zhaoliang Zeng, Wenrui Yao, Lei Li, Yu Zheng, Hujia Zhao, Yurun Liu, Yucong Miao, Yue Peng, Ye Fei, Fugang Li, Baoxin Li, Hong Wang, Zhili Wang, Yaqiang Wang, Huizheng Che, Xiaoye Zhang
{"title":"Real-time mapping of gapless 24-hour surface PM<sub>10</sub> in China.","authors":"Xutao Zhang, Ke Gui, Hengheng Zhao, Nanxuan Shang, Zhaoliang Zeng, Wenrui Yao, Lei Li, Yu Zheng, Hujia Zhao, Yurun Liu, Yucong Miao, Yue Peng, Ye Fei, Fugang Li, Baoxin Li, Hong Wang, Zhili Wang, Yaqiang Wang, Huizheng Che, Xiaoye Zhang","doi":"10.1093/nsr/nwae446","DOIUrl":"10.1093/nsr/nwae446","url":null,"abstract":"<p><p>Large-scale mapping of surface coarse particulate matter (PM<sub>10</sub>) concentration remains a key focus for air quality monitoring. Satellite aerosol optical depth (AOD)-based data fusion approaches decouple the non-linear AOD-PM<sub>10</sub> relationship, enabling high-resolution PM<sub>10</sub> data acquisition, but are limited by spatial incompleteness and the absence of nighttime data. Here, a gridded visibility-based real-time surface PM<sub>10</sub> retrieval (RT-SPMR) framework for China is introduced, addressing the gap in seamless hourly PM<sub>10</sub> data within the 24-hour cycle. This framework utilizes multisource data inputs and dynamically updated machine-learning models to produce 6.25-km gridded 24-hour PM<sub>10</sub> data. Cross-validation showed that the RT-SPMR model's daily retrieval accuracy surpassed prior studies. Additionally, through rolling iterative validation experiments, the model exhibited strong generalization capability and stability, demonstrating its suitability for operational deployment. Taking a record-breaking dust storm as an example, the model proved effective in tracking the fine-scale evolution of the dust intrusion process, especially in under-observed areas. Consequently, the operational RT-SPMR framework provides comprehensive real-time capability for monitoring PM<sub>10</sub> pollution in China, and has the potential to improve the accuracy of dust storm forecasting models by enhancing the PM<sub>10</sub> initial field.</p>","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"12 2","pages":"nwae446"},"PeriodicalIF":16.3,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11925011/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143670513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lattice plainification and band engineering lead to high thermoelectric cooling and power generation in n-type Bi<sub>2</sub>Te<sub>3</sub> with mass production.","authors":"Dongrui Liu, Shulin Bai, Yi Wen, Jiayi Peng, Shibo Liu, Haonan Shi, Yichen Li, Tao Hong, Huiqiang Liang, Yongxin Qin, Lizhong Su, Xin Qian, Dongyang Wang, Xiang Gao, Zhihai Ding, Qian Cao, Qing Tan, Bingchao Qin, Li-Dong Zhao","doi":"10.1093/nsr/nwae448","DOIUrl":"10.1093/nsr/nwae448","url":null,"abstract":"<p><p>Thermoelectrics can mutually convert between thermal and electrical energy, ensuring its utilization in both power generation and solid-state cooling. Bi<sub>2</sub>Te<sub>3</sub> exhibits promising room-temperature performance, making it the sole commercially available thermoelectrics to date. Guided by the lattice plainification strategy, we introduce trace amounts of Cu into n-type Bi<sub>2</sub>(Te, Se)<sub>3</sub> (BTS) to occupy Bi vacancies, thereby simultaneously weakening defect scattering and modulating the electronic bands. Meanwhile, the interstitial Cu can bond with the BTS matrix to form extra electron transport pathways. The multiple occupations of Cu substantially boost carrier mobility and electrical performance. Consequently, the BTS + 0.2%Cu achieves a room-temperature <i>ZT</i> of ∼1.3 with an average <i>ZT</i> <sub>ave</sub> of ∼1.2 at 300-523 K. Moreover, the kilogram-scale ingot designed for mass production also exhibits high uniformity. Finally, we fabricate a full-scale device that achieves an excellent conversion efficiency of ∼6.4% and a high cooling Δ<i>T</i> <sub>max</sub> of ∼70.1 K, both of which outperform commercial devices.</p>","PeriodicalId":18842,"journal":{"name":"National Science Review","volume":"12 2","pages":"nwae448"},"PeriodicalIF":16.3,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143008669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}