Literature classification and its applications in condensed matter physics and materials science by natural language processing

The exponential growth of literature is constraining researchers’access to comprehensive information in related fields.While natural language processing(NLP)may offer an effective solution to literature classification,it remains hindered by the lack of labelled dataset.In this article,we introduce a novel method for generating literature classification models through semi-supervised learning,which can generate labelled dataset iteratively with limited human input.We apply this method to train NLP models for classifying literatures related to several research directions,i.e.,battery,superconductor,topological material,and artificial intelligence(AI)in materials science.The trained NLP‘battery’model applied on a larger dataset different from the training and testing dataset can achieve F1 score of 0.738,which indicates the accuracy and reliability of this scheme.Furthermore,our approach demonstrates that even with insufficient data,the not-well-trained model in the first few cycles can identify the relationships among different research fields and facilitate the discovery and understanding of interdisciplinary directions.

Progress in neurorehabilitation research and the support by the National Natural Science Foundation of China from 2010 to 2022

The National Natural Science Foundation of China is one of the major funding agencies for neuro rehabilitation research in China.This study reviews the frontier directions and achievements in the field of neurorehabilitation in China and wo rldwide.We used data from the Web of Science Core Collection(WoSCC) database to analyze the publications and data provided by the National Natural Science Foundation of China to analyze funding information.In addition,the prospects for neurorehabilitation research in China are discussed.From 2010 to 2022,a total of 74,220 publications in neurorehabilitation were identified,with there being an overall upward tendency.During this period,the National Natural Science Foundation of China has funded 476 research projects with a total funding of 192.38 million RMB to support neuro rehabilitation research in China.With the support of the National Natural Science Foundation of China,China has made some achievements in neurorehabilitation research.Research related to neurorehabilitation is believed to be making steady and significant progress in China.

Aortic Dissection Research in China:Analysis of Studies Funded by the National Natural Science Foundation of China

Objective The National Natural Science Foundation of China(NSFC)has made great progress in promoting the development of aortic dissection research in recent years.This study aimed to examine the development and research status of aortic dissection research in China so as to provide references for future research.Methods The NSFC projects data from 2008 to 2019 were collected from the Internet-based Science Information System and other websites utilized as search engines.The publications and citations were retrieved by Google Scholar,and the impact factors were checked by the InCite Journal Citation Reports database.The investigator’s degree and department were identified from the institutional faculty profiles.Results A total of 250 grant funds totaling 124.3 million Yuan and resulting in 747 publications were analyzed.The funds in economically developed and densely populated areas were more than those in underdeveloped and sparsely populated areas.There was no significant difference in the amount of funding per grant between different departments’investigators.However,the funding output ratios of the grants for cardiologists were higher than those for basic science investigators.The amount of funding for clinical researchers and basic scientific researchers in aortic dissection was also similar.Clinical researchers were better in terms of the funding output ratio.Conclusion These results suggest that the medical and scientific research level of aortic dissection in China has been greatly improved.However,there are still some problems that urgently need to be solved,such as the unreasonable regional allocation of medical and scientific research resources,and the slow transition from basic science to clinical practice.

GIScience and remote sensing in natural resource and environmental research:Status quo and future perspectives

Geographic information science(GIScience)and remote sensing have long provided essential data and method-ological support for natural resource challenges and environmental problems research.With increasing advances in information technology,natural resource and environmental science research faces the dual challenges of data and computational intensiveness.Therefore,the role of remote sensing and GIScience in the fields of natural resources and environmental science in this new information era is a key concern of researchers.This study clarifies the definition and frameworks of these two disciplines and discusses their role in natural resource and environmental research.GIScience is the discipline that studies the abstract and formal expressions of the basic concepts and laws of geography,and its research framework mainly consists of geo-modeling,geo-analysis,and geo-computation.Remote sensing is a comprehensive technology that deals with the mechanisms of human ef-fects on the natural ecological environment system by observing the earth surface system.Its main areas include sensors and platforms,information processing and interpretation,and natural resource and environmental appli-cations.GIScience and remote sensing provide data and methodological support for resource and environmental science research.They play essential roles in promoting the development of resource and environmental science and other related technologies.This paper provides forecasts of ten future directions for GIScience and eight future directions for remote sensing,which aim to solve issues related to natural resources and the environment.

The 2010–2020 National Natural Science Foundation of China:Radiation Therapy

Objective This study explains the application number and funding rate of oncology projects undertaken by the National Natural Science Foundation of China(NSFC),with focus on tumor radiotherapy-related research over the past 11 years.Methods A stratified analysis was carried out on the application and funding status of tumor radiotherapy studies in different NSFC project categories,different research areas,and different tumor types.Research areas that required specific focus,such as immunology-related radiotherapy,multimodality imaging and radiomics,and post-radiotherapy organ injury,were separately analyzed.Results The status and development trends of various related research fields were studied,and the research results were presented with the support of the NSFC,in order to provide reference for future applications and funding allocations.Conclusion The number of applications for funding increases every year.Although the total number of funded projects has also increased every year,the funding rate has decreased year by year.Projects on radiotherapy and immunization have been at the forefront in recent years,and the funding rate for these projects increases yearly.

Nanotechnoscience as Combination of the Natural and Engineering Sciences

This paper discusses the methodological specialty of the theoretical investigation in the nanotechnology. In the nanotechnoscience, on the one hand, similar with the classical natural science are created explanatory schemes of the natural phenomena and formulated predictions of the course of the definite natural events on the basis of mathematics and experimental data, and on the other, as in the engineering sciences are constructed not only the projects of the new experimental situations but also structural schemes of the new nanosystem unknown in nature and technology. The operation of nanotheory is realized by the iteration method. At first a special engineering problem is formulated. Then it is represented in the form of the structural scheme of the nanosystem which is transformed into the idea about the natural process reflecting its performance. To calculate and mathematically model this process a functional scheme is constructed. Consequently, the engineering problem is reformulated into a scientific one and then into a mathematical problem solved by the deductive method. This path from the bottom to the top represents the analysis of schemes （the bottom up approach）. The way in the opposite direction--the synthesis of schemes （the top down approach）--makes it possible to synthesize the ideal model of a new nanosystem from idealized structural elements, according to the appropriate rules of deductive transformation, to calculate basic parameters of the nanosystem and simulate its function. Nanotechnology is at the same time a field of scientific knowledge and a sphere of engineering activity, in other words--nanotechnoscience--similar with systems engineering as the analysis and design of large-scale, complex, man-machine systems, but now as micro- and nanosystems. Scanning tunneling microscope in the nanoexperiment is not only an arrangement of scientific investigation but also at the same time a facility to fabricate the electrically conducting bridges between an electrode and the selected nanotubes and computer modeling and the design of different artifacts.

A Statistical Analysis on Papers and Authors in Wuhan University Journal of Natural Sciences in 2003

The author of this article counts and analyzes the papers and authors printed in 2003 Wuhan University Journal of Natural Sciences by means of bibliometric statistical methods, of which the characteristics of papers and authors are expounded. The result shows that the ratio of reprinting of this journal has been increased and the areas where the authors come from and their organization scattered in the whole world are widened as well, which implies a better-known fame of the journal. Key words Wuhan University Journal of Natural Sciences - papers analysis - authors analysis - statistical analysis CLC number G 353.1 Biography: HU Min(1961-), famale, Associate professor, research direction; editing science and biochemistry.

Research on the Significance of Incremental Utilization of Natural Resources Based on "Fenlong Science of Natural Resources"

The basic principle of Fenlong technology is to make full use of the cultivated layer and the below soil resources and natural precipitation. It can increase the amount of loosen soil by 1-2 times, water and oxygen by 1 time, and available nutrients by 10%-30%, surface air humidity by more than 10%, crop net photosynthetic efficiency by 10%-30%, biomass by 20%-30%, crop yield by 10%-50%, and crop quality by 5%, and decrease salt content by 20%-40% and the emission of methane and other gases by 10%. In this study, it is firstly proposed to establish a new research field——"Fenlong science of natural resources"(referred to as "Fenlong science"), and the research contents include Fenlong-based sciences of modern agricultural machinery and equipment for full-layer ploughing and bottom ploughing, tillage, crop cultivation, utilization of water resources (natural precipitation, farmland water conservancy, groundwater resources, etc.), conversion and utilization of saline-alkali land, arable degraded grassland reconstruction, ecological reconstruction of desertification land, ecological environment, climate change, economic and social development. It clarifies theory and enriches technology, and provides a major platform for carrying global population developing from more than 7 billion to 10 billion and helping people and nature to mutually benefit.

Natural Science and the Evolution of Categorial Discourse

In the second half of the last century the problem of categories became less and less prominent in philosophical debates. This twilight of categorial discourse did not go unnoticed, and some authors offered different solutions for the revival of categorial theorizing in contemporary philosophy＇s repertoire. One of these authors is the American philosopher Stephen Pepper. The purpose of the present discussion is to offer yet another explanation for the decline of categorial theory, and to explore Pepper＇s view and its role in the transformation of categorial discourse. The main thesis which I will argue for is that traditional categories did not disappear altogether, but they have been replaced, gradually, by key empirical concepts from natural science. Even if such concepts do not satisfy the traditional requirements categories in shaping our for a categorial scheme, they are, nonetheless, fulfilling the same role as traditional worldviews.

LIRR's Project of “Study on Spalling Mechanism Mechanism of Dense Refractory Castables by Rapid Heating-up” Being Obtained the Support from National Natural Natural Science Foundation of China

LIRR＇s Priject of ＂Research on Spalling Mechanism Due to Rapid Heating-up of Dense Refractory Castables＂ declared by Wang Zhanmin,vice-president of LIRR,will gain the fund support from National Natural Science Foundation of China in 2011.