The InnovationPub Date : 2025-02-19eCollection Date: 2025-06-02DOI: 10.1016/j.xinn.2025.100841
Yansheng Li, Jieyi Tan, Bo Dang, Mang Ye, Sergey A Bartalev, Stanislav Shinkarenko, Linlin Wang, Yingying Zhang, Lixiang Ru, Xin Guo, Liangqi Yuan, Lei Yu, Jingdong Chen, Ming Yang, José Marcato Junior, Yongjun Zhang
{"title":"Unleashing the potential of remote sensing foundation models via bridging data and computility islands.","authors":"Yansheng Li, Jieyi Tan, Bo Dang, Mang Ye, Sergey A Bartalev, Stanislav Shinkarenko, Linlin Wang, Yingying Zhang, Lixiang Ru, Xin Guo, Liangqi Yuan, Lei Yu, Jingdong Chen, Ming Yang, José Marcato Junior, Yongjun Zhang","doi":"10.1016/j.xinn.2025.100841","DOIUrl":"10.1016/j.xinn.2025.100841","url":null,"abstract":"","PeriodicalId":36121,"journal":{"name":"The Innovation","volume":"6 6","pages":"100841"},"PeriodicalIF":33.2,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12169302/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144318201","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}
The InnovationPub Date : 2025-02-13eCollection Date: 2025-05-05DOI: 10.1016/j.xinn.2025.100839
Yi Peng, Eyal Ben-Dor, Asim Biswas, Sabine Chabrillat, José A M Demattê, Yufeng Ge, Asa Gholizadeh, Cecile Gomez, Cesar Guerrero, Jeffrey Herrick, Jonathan J Maynard, Abdul Mounem Mouazen, Yuxin Ma, Alex B McBratney, Budiman Minasny, Leonardo Ramirez-Lopez, A H Jean Robertson, Raphael A Viscarra Rossel, Zhou Shi, Bo Stenberg, Alexandre M J-C Wadoux, Leigh Ann Winowiecki, Ganlin Zhang
{"title":"Spectroscopic solutions for generating new global soil information.","authors":"Yi Peng, Eyal Ben-Dor, Asim Biswas, Sabine Chabrillat, José A M Demattê, Yufeng Ge, Asa Gholizadeh, Cecile Gomez, Cesar Guerrero, Jeffrey Herrick, Jonathan J Maynard, Abdul Mounem Mouazen, Yuxin Ma, Alex B McBratney, Budiman Minasny, Leonardo Ramirez-Lopez, A H Jean Robertson, Raphael A Viscarra Rossel, Zhou Shi, Bo Stenberg, Alexandre M J-C Wadoux, Leigh Ann Winowiecki, Ganlin Zhang","doi":"10.1016/j.xinn.2025.100839","DOIUrl":"https://doi.org/10.1016/j.xinn.2025.100839","url":null,"abstract":"<p><p>While global efforts to operationalize soil spectroscopy are progressing, cooperation is needed to fully leverage its potential for generating digital soil information to support sustainable soil management worldwide. The Global Soil Laboratory Network's soil spectroscopy initiative (GLOSOLAN-Spec), led by the Food and Agriculture Organization of the United Nations (FAO) through its Global Soil Partnership (GSP), is dedicated to the further development and adoption of soil spectroscopy by fostering international collaboration via a scientific community of practice to produce accurate and reliable soil information for sustainable soil management and decision-making. To support this effort, we, a global consortium of soil scientists under the auspices of the International Union of Soil Sciences (IUSS) and GLOSOLAN-Spec, aim to address seven key challenges hindering the adoption of soil spectroscopy worldwide. Here, we offer perspectives on what is needed to advance soil spectroscopy as a routine soil analysis method, emphasizing its potential to generate new and reliable spatial and temporal soil data.</p>","PeriodicalId":36121,"journal":{"name":"The Innovation","volume":"6 5","pages":"100839"},"PeriodicalIF":33.2,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12105478/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144162635","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":"The inadequacy of the ρ-T curve for phase transitions in the presence of magnetic fields.","authors":"Shengnan Zhang, Zhong Fang, Hongming Weng, Quansheng Wu","doi":"10.1016/j.xinn.2025.100837","DOIUrl":"10.1016/j.xinn.2025.100837","url":null,"abstract":"<p><p>The resistivity-temperature (<i>ρ(T)</i>) curve is traditionally employed to distinguish metallic, semiconducting, and insulating behaviors in materials, with deviations often interpreted as evidence of phase transitions. However, such interpretations are valid only under specific conditions, including the presence of a magnetic field. This study critically reexamines the <i>ρ(T)</i> curve in magnetic environments. Our findings reveal that shifts between metallic and insulating states, as well as reentrant metallic behavior, may not necessarily indicate genuine phase transitions. Instead, these phenomena can be attributed to the scaling behavior of magnetoresistance, governed by a power law dependence on both the magnetic field and temperature. Employing first-principles calculations and the Boltzmann transport method, we analyzed the magnetoresistance of SiP<sub>2</sub> and NbP across varying conditions. This approach not only explains the reentrant behavior observed experimentally but also reconciles discrepancies in magnetoresistance findings reported by different research groups. These findings challenge the conventional reliance on the <i>ρ(T)</i> curve as a straightforward indicator of phase transitions in magnetic fields. We underscore the importance of accounting for standard magnetoresistance effects caused by the Lorentz force before confirming the existence of such transitions. This novel perspective advances our understanding of material properties in magnetic fields and establishes a new framework for interpreting transport phenomena in condensed matter physics.</p>","PeriodicalId":36121,"journal":{"name":"The Innovation","volume":"6 5","pages":"100837"},"PeriodicalIF":33.2,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12105513/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144162649","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":"Ozone exposure and increased risk of age-related macular degeneration: Evidence from nationwide cohort and toxicological studies.","authors":"Guanran Zhang, Yanlin Qu, Xiaoling Wan, Xinyi Fang, Yidong Wu, Tong Li, Junran Sun, Xinxin Liu, Yanyi Xu, Huihuan Luo, Xia Meng, Weiting Hu, Renjie Chen, Zhenyu Wu, Huixun Jia, Xiaodong Sun","doi":"10.1016/j.xinn.2025.100808","DOIUrl":"10.1016/j.xinn.2025.100808","url":null,"abstract":"<p><p>Evidence regarding the impact of ozone on age-related macular degeneration (AMD) remains limited. We conducted a nationwide cohort analysis of 27,923 participants in China, along with a random control animal toxicological study, to elucidate the temporal relationship between ozone exposure and AMD as well as the underlying biological explanation. In the population study, 5,149 participants were diagnosed with incident AMD during a 348,701 person-month follow-up. The participants were divided into low-, medium-, and high-exposure groups. Fully adjusted Cox regression models showed that the risk of AMD increased by 28% for the medium- and 101% for the high-exposure groups relative to the low-exposure group (<i>p</i> for trend < 0.001). The exposure-response curves exhibited a J-shaped trend. Sensitivity analyses confirmed these results, revealing stronger associations among participants older than 65 years old and those living in rural or northern China. In the toxicological study, the mice were randomized to inhale ozone or filtered air, and those exposed to ozone had photoreceptor damage and vision impairment, which are hallmarks of AMD. We further clarified that ozone exposure contributes to AMD by activating systemic inflammation and detailing how external air-pollutant-induced inflammation factors reach the retina, which is the innermost layer of the eye, and cause retinal disease. Our comprehensive studies provide key evidence on the temporal relationship between ozone exposure and increased AMD risk, suggesting the visual health benefits of collaboratively enforcing necessary ozone pollution control policies, especially in regions with high ozone concentrations, within the context of a globally aging population.</p>","PeriodicalId":36121,"journal":{"name":"The Innovation","volume":"6 4","pages":"100808"},"PeriodicalIF":33.2,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12131036/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144226931","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":"The rising threats of wildland-urban interface fires in the era of climate change: The Los Angeles 2025 fires.","authors":"Minghao Qiu, Deyang Chen, Makoto Kelp, Jing Li, Guanyu Huang, Mahdieh Danesh Yazdi","doi":"10.1016/j.xinn.2025.100835","DOIUrl":"10.1016/j.xinn.2025.100835","url":null,"abstract":"","PeriodicalId":36121,"journal":{"name":"The Innovation","volume":"6 5","pages":"100835"},"PeriodicalIF":33.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12105517/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144162660","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":"Toward bridging the gap between machine intelligence and machine wisdom: Dilemmas and conjectures.","authors":"Rui Wang, Shixuan Liu, Changjun Fan, Guozheng Li, Jincai Huang, Zhong Liu, Gang Zhou","doi":"10.1016/j.xinn.2025.100834","DOIUrl":"10.1016/j.xinn.2025.100834","url":null,"abstract":"<p><p>In recent years, artificial intelligence (AI) has achieved tremendous development, akin to a significant leap, similar to progressing from 1 to 100. However, a significant gap still exists between current machine intelligence and human wisdom: machine intelligence is constrained to post hoc inference based on existing data, lacking the ability for genuine exploratory innovation and possessing no prospective reasoning inherent to human wisdom. Drawing inspiration from human wisdom, this article presents conjectures for overcoming the four dilemmas faced by machine intelligence: neglect of silicon-based cognition, lack of artistry, pitfall of perfectionism, and obsession with uniformity. These conjectures aim to propel machine intelligence toward machine wisdom, achieving a great leap from 1 to i.</p>","PeriodicalId":36121,"journal":{"name":"The Innovation","volume":"6 7","pages":"100834"},"PeriodicalIF":33.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12277733/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144691847","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}