Submission Deadline ( Vol 70 , Issue 11 )
05 Nov 2025Publish On ( Vol 70 , Issue 11 )
30 Nov 2025Chinese Science Bulletin (ISSN:0023-074X) and (E-ISSN:2095-9419) is a monthly peer-reviewed scopus indexed journal originally from 1963 to 1964, from 1980 to 1984, 1989, from 2015 to Present. The publisher of the journal is Editorial Office of Journal of Science China Press.The journal welcomes all kind of research/review/abstract papers regarding Multidisciplinary subjects.
AIM AND SCOPE
1.Agricultural Science/Agricultural Engineering
2.Electrical Engineering and Telecommunication Section
3.Computer Science and Engineering
4.Civil and Architectural Engineering Section
5.Mechanical and Materials Engineering Section
6.Chemical Engineering Section
7.Food Engineering Section
8.Physics Section
9.Mathematics Section
10.Accounting and finance
11.Economics
12.Management
13.Social science
14.Earth science
15.Law
16.Linguistics
17.Biological science
18.Environmental science
19.Material science
20.zoology
21.Fishery and Science
22.Psychology
23.International Business
24.HRM
25.Marketing
26.History
27.Public health
28.Botany
ALL PUBLISH JOURNAL HERE
CSB-20-03-2024-1265
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Chinese Science Bulletin
This research aimed to analyze porosity based on observations using FE-SEM, crystal index, crystal size based on XRD observations, and functional groups based on FT-IR observations of coconut dreg cells due to variations in the length of pulsed electric fields (PEF) contact. Research has been done using a completely randomized design approach, and the data was analyzed using R Studio. Coconut dreg is a waste product from processing coconut into coconut milk, which is produced quite a lot, especially in West Sumatra Province, Indonesia. PEF is a non-thermal physical treatment with relatively lo
CSB-19-03-2024-1263
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Chinese Science Bulletin
Manufacturing assembly selection are challenging due to numerous joining process and physical and economic factors, often relying on experienced engineers and limited processes. So, the purpose of this study is to present a case study on the topic of the se-lection of joining process.” Using a program programmed via Visual Basic Access, which consists of two stages, it chooses the type of joining operation from among many proposed operations for a specific purpose and under specific conditions. get up the first stage involves excluding processes that are not fully compatible with the require
CSB-16-03-2024-1258
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Chinese Science Bulletin
This paper proposes an integrated approach using the Nearest Neighbor Heuristic (NNH), historical delivery data analysis, and Multi-Criteria Decision Making (MCDM) with Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) within a Genetic Algorithm (GA) to optimize routes for middle-mile delivery (MMD) in the Closed-Open Mixed Vehicle Routing Problem (COMVRP). By leveraging delivery history and managerial input, this method facilitates optimal route generation, aiding logistics planning and decision-making. Focused on middle-mile distr
CSB-15-03-2024-1257
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Chinese Science Bulletin
This paper implements a novel Simplified Optimum Intelligent PID controller for servo permanent magnet synchronous motor (SPMSM). An algorithm is proposed to solve the optimization problem of controller parameters in the design of a permanent magnet synchronous motor servo system. The proposed method updates the Simplified optimum intelligent PID (SOI-PID) controller gains in an online manner to drive the SPMSM with better speed response during variable load and parameter uncertainty occurrence. A comparative analysis in real-time implementation of the SPMSM with SOI-PID and interval type-2 fu
CSB-14-03-2024-1255
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Chinese Science Bulletin
Passive Islanding Detection Techniques (PIDT) are renowned for their simplicity, absence of power quality degradation, and cost-effectiveness in implementation. However, these techniques are not without challenges, notably in the form of threshold setting limitations and a considerable non-detection zone (NDZ). To address these limitations, this research paper introduces a novel machine learning-based islanding detection technique proficient of detecting islanding events even with zero NDZ and without encountering threshold limitations. The study involves an in-depth analysis of the sensitivit