Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313594413> ?p ?o ?g. }
- W4313594413 endingPage "878" @default.
- W4313594413 startingPage "869" @default.
- W4313594413 abstract "The natural world is constantly changing, and planetary boundaries are issuing severe warnings about biodiversity and cycles of carbon, nitrogen, and phosphorus. In other views, social problems such as global warming and food shortages are spreading to various fields. These seemingly unrelated issues are closely related, but it can be said that understanding them in an integrated manner is still a step away. However, progress in analytical technologies has been recognized in various fields and, from a microscopic perspective, with the development of instruments including next-generation sequencers (NGS), nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC/MS), and liquid chromatography-mass spectrometry (LC/MS), various forms of molecular information such as genome data, microflora structure, metabolome, proteome, and lipidome can be obtained. The development of new technology has made it possible to obtain molecular information in a variety of forms. From a macroscopic perspective, the development of environmental analytical instruments and environmental measurement facilities such as satellites, drones, observation ships, and semiconductor censors has increased the data availability for various environmental factors. Based on these background, the role of computational science is to provide a mechanism for integrating and understanding these seemingly disparate data sets. This review describes machine learning and the need for structural equations and statistical causal inference of these data to solve these problems. In addition to introducing actual examples of how these technologies can be utilized, we will discuss how to use these technologies to implement environmentally friendly technologies in society." @default.
- W4313594413 created "2023-01-06" @default.
- W4313594413 creator A5014945517 @default.
- W4313594413 creator A5032423070 @default.
- W4313594413 date "2023-01-01" @default.
- W4313594413 modified "2023-10-14" @default.
- W4313594413 title "An evaluation of homeostatic plasticity for ecosystems using an analytical data science approach" @default.
- W4313594413 cites W1784626615 @default.
- W4313594413 cites W1908991493 @default.
- W4313594413 cites W1963692075 @default.
- W4313594413 cites W1965856348 @default.
- W4313594413 cites W1966992782 @default.
- W4313594413 cites W1972266000 @default.
- W4313594413 cites W1974724367 @default.
- W4313594413 cites W1975031806 @default.
- W4313594413 cites W1975785352 @default.
- W4313594413 cites W1980516134 @default.
- W4313594413 cites W1984156791 @default.
- W4313594413 cites W1988233872 @default.
- W4313594413 cites W1991799868 @default.
- W4313594413 cites W1998182374 @default.
- W4313594413 cites W2001619934 @default.
- W4313594413 cites W2006666561 @default.
- W4313594413 cites W2007321142 @default.
- W4313594413 cites W2010038722 @default.
- W4313594413 cites W2011282676 @default.
- W4313594413 cites W2018459257 @default.
- W4313594413 cites W2021410487 @default.
- W4313594413 cites W2027763661 @default.
- W4313594413 cites W2029412578 @default.
- W4313594413 cites W2057254587 @default.
- W4313594413 cites W2083278075 @default.
- W4313594413 cites W2096885696 @default.
- W4313594413 cites W2105263240 @default.
- W4313594413 cites W2110681512 @default.
- W4313594413 cites W2120337732 @default.
- W4313594413 cites W2122266551 @default.
- W4313594413 cites W2127344845 @default.
- W4313594413 cites W2128160875 @default.
- W4313594413 cites W2136697674 @default.
- W4313594413 cites W2148185586 @default.
- W4313594413 cites W2203396742 @default.
- W4313594413 cites W2228864849 @default.
- W4313594413 cites W2276951137 @default.
- W4313594413 cites W2326583940 @default.
- W4313594413 cites W2335306347 @default.
- W4313594413 cites W2413154614 @default.
- W4313594413 cites W2509381699 @default.
- W4313594413 cites W2522602384 @default.
- W4313594413 cites W2735926146 @default.
- W4313594413 cites W2744112845 @default.
- W4313594413 cites W2760518967 @default.
- W4313594413 cites W2765397352 @default.
- W4313594413 cites W2769943196 @default.
- W4313594413 cites W2781246871 @default.
- W4313594413 cites W2792165586 @default.
- W4313594413 cites W2802835051 @default.
- W4313594413 cites W2913491728 @default.
- W4313594413 cites W2921406058 @default.
- W4313594413 cites W2929112394 @default.
- W4313594413 cites W2951888555 @default.
- W4313594413 cites W2970597185 @default.
- W4313594413 cites W2998856058 @default.
- W4313594413 cites W3000158641 @default.
- W4313594413 cites W3019846091 @default.
- W4313594413 cites W3021495625 @default.
- W4313594413 cites W3023071677 @default.
- W4313594413 cites W3033466752 @default.
- W4313594413 cites W3033612670 @default.
- W4313594413 cites W3046739437 @default.
- W4313594413 cites W3072837421 @default.
- W4313594413 cites W3114377573 @default.
- W4313594413 cites W3117523201 @default.
- W4313594413 cites W3118172429 @default.
- W4313594413 cites W3129016099 @default.
- W4313594413 cites W3134605995 @default.
- W4313594413 cites W3134711845 @default.
- W4313594413 cites W3136437647 @default.
- W4313594413 cites W3143661006 @default.
- W4313594413 cites W3155054929 @default.
- W4313594413 cites W3162048596 @default.
- W4313594413 cites W3163824135 @default.
- W4313594413 cites W3164673428 @default.
- W4313594413 cites W3171879401 @default.
- W4313594413 cites W3194357643 @default.
- W4313594413 cites W3200542697 @default.
- W4313594413 cites W3200886524 @default.
- W4313594413 cites W3208342997 @default.
- W4313594413 cites W4205303072 @default.
- W4313594413 cites W4206055485 @default.
- W4313594413 cites W4206929172 @default.
- W4313594413 cites W4220995298 @default.
- W4313594413 cites W4224229773 @default.
- W4313594413 cites W4225248597 @default.
- W4313594413 cites W4281761307 @default.
- W4313594413 cites W4283073285 @default.
- W4313594413 cites W4283656148 @default.
- W4313594413 cites W4292449043 @default.