This article explores the key strategies for writing SCI (Science Citation Index) papers. It covers the entire process from the title determination, abstract summarization, introduction’s background presentation, literature review recap, detailed method description, results presentation, analysis in the discussion, and summary in the conclusion. The article aims to assist authors in gaining a better understanding of the essential elements of SCI paper writing, while providing detailed guidance and recommendations.

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The overlay journal is an important innovation in academic communication, offering scholars greater freedom and openness. This article delves into the operational model and development trends of overlay journals, emphasizing their self-publishing and open-access nature, as well as their diverse peer-review processes and technological innovations. Keeping a continuous eye on future trends will help overlay journals continue to drive the development of the academic publishing field, providing new opportunities and challenges for scholars. This article aims to explore these operational models and development trends in-depth, offering a comprehensive understanding of overlay journals and insights for the academic community and publishers on how to address important issues in this emerging field.

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This paper examines the historical, cultural, and sustainable developmental aspects of Yokohama Red Brick Warehouse using an analysis of grey literature. The initial section introduces the background and architectural attributes of the Yokohama Red Brick Warehouse, followed by a thorough exploration of its transition from a storage facility to a dynamic cultural venue. The paper underscores its diverse range of activities, encompassing cultural and art exhibitions and performance events. Furthermore, the paper underscores the warehouse’s experience preserving cultural heritage and fostering sustainable practices, highlighting its pivotal role in enhancing local tourism and economic growth. Ultimately, the paper underscores the significance of the Yokohama Red Brick Warehouse as a cultural heritage site and advocates for drawing insights from its successful trajectory to propel sustainable development and innovation.

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ChatGPT is a natural language processing model that plays various roles, including providing information, answering questions, creative dialogue, language learning, and user engagement. However, there are limits to the accuracy and consistency of the information, and caution must be exercised in generating overly confident or inappropriate answers. Their understanding of emotions and context is also limited and may produce inappropriate content. Users should consult experts for expert information and important decisions. In this article, we describe the roles of ChatGPT and what to keep in mind.

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Microbiomes play a pivotal role in mediating essential ecosystem functions, yet understanding the relationship between microbiome composition and ecosystem function rates remains challenging. Directly manipulating microbiome composition proves difficult due to the impracticality of identifying key functional taxa beforehand, and microbiomes’ strong covariance with environmental drivers of function. To tackle these challenges, we conducted artificial selection on whole soil ecosystems over multiple generations to enrich microbial communities exhibiting high CH4 oxidation rates. This biologically “agnostic” approach minimizes assumptions about crucial taxa and weakens microbe-environment covariance through repeated passaging with fresh substrate. In response to selection, we observed a significant 50.7% increase in CH4 oxidation rate per passage compared to a randomly selected control. While 31.5% of the CH4 oxidation rate variation in soils could be attributed to microbiome variation (not statistically significant), the selection did not enrich for known CH4 oxidizers. Instead, 12 families not previously associated with CH4 oxidation, such as Fimbriimonadaceae, Cytophagaceae, and Diplorickettsiaceae, were enriched. This finding challenges the conventional assumption that ecosystem function rates are limited by the final step in the microbial pathway. Our study underscores that microbiome composition can independently influence ecosystem function rates, regardless of the environment, and that such rates may not always be constrained by the final pathway step. Consequently, directly manipulating microbiome composition without altering the environment emerges as a viable strategy for managing ecosystem functions.

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Grassland is one of the most widely distributed ecosystem types in nature, playing an important role in the development of animal husbandry, the maintenance of biodiversity, soil and water conservation, and the preservation of ecosystem balance. The term “grassland type” refers to a unit of grassland that reflects the patterns of occurrence and succession, and possesses certain natural and economic characteristics within a specific time and space range. Due to variations in natural conditions, productivity levels, and scientific and technological conditions worldwide, scholars from different countries have proposed diverse methods and systems for classifying grassland types. In China, the vegetation of grasslands exhibits great richness and diversity. This article provides a brief overview of the various types of grassland vegetation found in China. Understanding and studying these grassland types can uncover the patterns of occurrence and succession in grasslands and offer a scientific basis for the sustainable utilization of these ecosystems.

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Papers can be classified from various perspectives. For example, they can be categorized into academic papers and degree papers based on the research purpose, journal papers and conference papers based on the publication venue, and research papers, review papers, rapid communication papers, etc., based on the content and format of the research. They can also be divided into social science papers and natural science papers according to the research field. Furthermore, papers can be classified as professional papers in disciplines such as economics, management, literature, political science, law, science, medicine, agriculture, and others. Additionally, papers can be classified as theoretical papers or empirical papers based on the research methods employed. Despite the various classifications, the fundamental principles remain the same. This paper primarily focuses on the classification and orientation of papers from the perspectives of academic papers and degree papers.

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The abstract is a necessary additional essay to the paper and plays an important leading role for readers to read the paper. When reviewing a manuscript, the quality of the abstract affects the reviewer’s judgment of the paper to a great extent and plays an important role in whether it will be hired or not. When consulting the literature, the abstract is the first part for readers to read. Most readers understand the main contents and characteristics of the paper by reading the abstract and determining whether it is necessary to read the full text of the paper. More opportunities may be lost if a valuable paper is written simply because the abstract is simple. Because of the importance of abstracts in improving the hit rate of contributions, attracting readers, and increasing the number of searches of papers, the writing of abstracts needs to be revised and refined repeatedly. This paper mainly introduces the structural patterns and writing skills of the abstract.

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Shale is rich in oil and gas resources, but the geological conditions are very complex. The successful exploitation of shale gas resources depends on the geological evaluation of shale gas resources. A classification evaluation method for shale oil and gas resources is introduced in this paper. This method has been patented in China. This method solves the defects and deficiencies of the existing shale oil and gas resources classification evaluation methods, provides a feasible identification method for shale oil and gas resources classification, and can effectively avoid misjudgment in shale oil and gas resources development. This method can save the exploration cost of shale oil and gas resources, has remarkable beneficial effects, and is suitable for application and popularization. The characteristic of this method is that the measured data samples are replaced by random numbers by using multiple parameter index values of oil and gas generation and reservoir conditions, as well as the range of enrichment area and favorable area of parameter index values.

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At present, the main energy resources used are oil, natural gas, and coal, which are commonly referred to as conventional energy resources. In addition, there are large amounts of so-called unconventional energy resources. Since 2000, the development of technology has advanced and the movement toward the commercialization of unconventional oil and natural gas has increased. Unconventional energy is divided into unconventional oil and unconventional natural gas. Unconventional oil includes tight oil, shale oil, oil shale, and oil sand. Unconventional natural gas includes coalbed methane, tight gas, shale gas, natural gas hydrate, and water-soluble gas. Although the exploration and development of unconventional oil and gas have attracted wide attention, there are still some differences in the understanding of its concept. This paper mainly introduces the classification and geological characteristics of unconventional oil and gas resources.

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The uncertainty decision-making model is widely used, not only in the petroleum industry, but also in investment analysis, product development, scientific experiments, feasibility studies, and other aspects. Different decision-making criteria may lead to different decision-making schemes, and the judgment of the decision-maker is an important factor affecting its compliance with a certain criterion. This paper introduces the uncertainty decision-making model and explains it through an example. This paper has certain reference values for further understanding of the uncertainty decision-making model.

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To analyze the economy and predict future developments, foreign exchange movements are considered necessary. To analyze foreign exchange movements, economic indicators, which are used to judge monetary policy and business conditions, are considered necessary. Since 2000, the Australian dollar has gained attention as a resource-rich currency and a high-interest currency. Fluctuations in the Australian dollar have a major impact on Australia’s export-dependent economy, as well as on countries that source resources and investors in the money. This paper looks at the impact of economic indicators in Australia, the US, and China on the exchange rate of the Australian dollar against the U.S. dollar. This article is of reference in Australian economic analysis.

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This year is the second year of publication of Resources Data Journal. Resources Data Journal is an academic journal that publishes data papers, covering all disciplines of natural science and social science. A data paper is an important type of paper in academic communication. Data papers focus on the description of data resources, and their main purpose is to make data resources play a greater academic value. The data resource in the data paper is not the auxiliary material to support the academic point of view, but the main body of the data paper. The data resources in data papers are divided into three categories (1) primitive data resources, (2) phased data resources, and (3) grey literature resources. Resources Data Journal welcomes contributions from all over the world and looks forward to promoting a new era of data resource exchange through the joint efforts of academia. Resources Data Journal wishes all authors and readers fruitful results in the new year.

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