Order Of Priority Research Articles

The Priority Implementation of the Sustainable Development Goals in Underdeveloped Mountain Regions

ABSTRACTAt the midpoint of the 2030 Agenda for Sustainable Development implementation, over half of the targets remain unmet due to insufficient government funding and tradeoffs among the sustainable development goals (SDGs) globally. The shortage of government funding and tradeoff between goals is a major bottleneck affecting SDGs realization. Underdeveloped mountain areas face multiple challenges such as weak infrastructure, shortage of human capital, and slow economic development, which may hinder achieving the goal of “No one left behind.” In underdeveloped mountain regions with limited financial input for sustainable development, prioritizing the SDGs through research can optimize government funding efficiency, promoting synergies between goals and reducing tradeoffs, and accelerate progress toward local SDGs. Lincang city is a typical underdeveloped mountainous region; thus, the cost‐benefit maximization criterion, correlation analysis, cluster analysis, and progress evaluation are adopted to propose priorities for advancing the SDGs in three stages: 2010–2015, 2016–2020, and 2010–2020. The findings reveal that the environmental and social dimension goals in underdeveloped regions have made positive progress, while the economic dimension goals are relatively lagging behind. Economic goals take precedence over environmental and social goals in underdeveloped regions. The specific order of priority is as follows: SDGs 9, 7, 11, 15, 4, 17, 12, 13, 16, 1, 6, 3, 8, 2, 10, and 5. Through developing green economies such as organic agriculture, clean energy, and eco‐tourism, the ecological environment advantage is transformed into an economic development driving force, and enhancing institutional support and implementation is crucial for promoting sustainable development in underdeveloped mountainous areas.

An international perspective on priority areas for women’s cardiovascular health research: Qualitative findings from a cross-sectional survey.

BackgroundThe Global Cardiovascular Research Funders Forum (GCRFF) unites international research funders interested in supporting cardiovascular disease (CVD) research. One focus area is women’s cardiovascular health; this study identifies priority themes for future joint research funding opportunities. MethodsFollowing ethics approval, a survey was developed based on literature review, GCRFF feedback, and input from methodologists/content experts. The survey was comprised of three open-ended and five multiple choice questions. Using widespread dissemination strategies, an electronic survey portal was opened for eight weeks, from the 15th November 2023 to 15th January 2024, with various language options. Results were downloaded into a secure REDCap database for analysis. Independent theming of responses was completed by three reviewers until coding consensus was achieved, following which one coder completed the remaining theming. Descriptive statistics are reported. ResultsOf 191 responses, all GCRFF nine countries were represented. Most respondents identified as women (74%) and clinicians/academics (77%); fewer people with lived or living experience participated (23%). Common themes included women-specific risk factors and prevention strategies (56%), life course issues (43%), and sex and gender-specific treatments and outcomes (36%). Common topics were CVD (66%), coronary artery disease (18%), and heart disease (13%). Designated research pillars included clinical (52%), population health (36%) and basic science (30%). Solutions proposed included knowledge generation (71%), increased funding (55%), networking researchers (52%), and knowledge mobilization (41%). Congruence of priority ordering was demonstrated between sex and respondent residence subgroups. ConclusionDiverse international input prioritized research in risk factors and prevention strategies specific to women and in sex and gender-specific treatment and outcomes of heart disease, with considerations of life course issues across all research pillars.

Priority Order of Rural Infrastructure Investment Options: System Dynamics Analysis

Priority Order of Rural Infrastructure Investment Options: System Dynamics Analysis

Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: methods and application to STOPP/START v2

Clinical decision support systems are software tools that help clinicians to make medical decisions. However, their acceptance by clinicians is usually rather low. A known problem is that they often require clinicians to manually enter a lot of patient data, which is long and tedious. Existing solutions, such as the automatic data extraction from electronic health record, are not fully satisfying, because of low data quality and availability. In practice, many systems still include long questionnaire for data entry. In this paper, we propose an original solution to simplify patient data entry, using an adaptive questionnaire, i.e. a questionnaire that evolves during user interaction, showing or hiding questions dynamically. Considering a rule-based decision support systems, we designed methods for determining the relationships between rules and translating the system’s clinical rules into display rules that determine the items to show in the questionnaire, and methods for determining the optimal order of priority among the items in the questionnaire. We applied this approach to a decision support system implementing STOPP/START v2, a guideline for managing polypharmacy. We show that it permits reducing by about two thirds the number of clinical conditions displayed in the questionnaire, both on clinical cases and real patient data. Presented to clinicians during focus group sessions, the adaptive questionnaire was found “pretty easy to use”. In the future, this approach could be applied to other guidelines, and adapted for data entry by patients.

Heuristic approaches for a multi-mode resource availability cost problem in aircraft manufacturing

A multi-mode time-constrained project scheduling problem with generalized temporal constraints arising in aircraft manufacturing is studied in the paper. We propose a priority rule-based heuristic (PRH) and a biased random-key genetic algorithm (BRKGA) for its solution. A serial generation scheme (SGS) is used for computing schedules from a priority order of the tasks with given resource capacities and mode assignments. The SGS cannot guarantee that the maximum project duration and maximum time lags are respected. Starting with the highest possible resource capacities, the PRH performs the SGS in a repeated manner, reducing the least used resource capacity by one unit until the schedule becomes infeasible. Different priority rules are used for determining both mode assignments and task priority orders. We encode these two decisions as well as the resource capacities in the BRKGA and apply the SGS for decoding. Project duration and maximum time lag violations are penalized in the fitness function. Extensive computational experiments based on problem instances motivated by settings found at a large aircraft manufacturer demonstrate that the BRKGA outperforms the PRH under almost all experimental conditions, especially for problem instances with more complex networks and shorter maximum project durations.

Integration of Importance Performance Analysis (IPA) and Kano Model to Improve the Manggarai Station Service Quality

Manggarai Station is one of the transit stations with the highest number of passengers and will become the first central station in Indonesia. However, the process of station construction and changes in transit patterns resulted in a significant increase in the number of passengers, which had an impact on the quality of services provided. There are many complaints made by passengers due to the buildup which results in the discomfort they feel when traveling at Manggarai Station. This research aims to determine the order of priority and strategies required for each service attribute using the integration of Importance Performance Analysis (IPA) and Kano, determine the causes of dissatisfaction and low performance received by passengers, and provide recommendations for improvements to the service quality of Manggarai Station. The methods used in this research are Importance Performance Analysis (IPA) and the Kano Model, then the results of both are integrated. Based on the processing results, the categorization results obtained using the IPA method were divided into four quadrants based on performance and importance, the Kano category results were based on satisfaction and dissatisfaction, and the IPA and Kano results were integrated. The results of the IPA and Kano integration show that 4 of the 14 service attributes are included in the Fatal category, which means that performance needs to be improved in order of top priority.

Planning Development of Sustainability Tourism of Jikomalamo Beach in Ternate City, North Maluku Province

The tourism sector is a mainstay of Indonesia to increase revenue, both from the national level to the regional level. the level of development and optimal management of tourism has significant potential to increase the economic growth of a region, therefore, it needs proper planning, especially in the context of decision-making and policy. One of the areas that are developing this tourism area is the city of Ternate, north Maluku province, which is developing jikomalamo beach tourism using the guidelines of the regional long-term development plan and the vision and mission of Ternate city. This research uses a quantitative approach that is analyzed using SWOT, \ intending to determine the order of priority for planning the development of the jikomalamo beach tourism area based on the Tourism Development Master Plan document. The results of this study indicate that all the strengths, weaknesses, opportunities, and threats that have been owned by the tourist destination are quite good if analyzed comprehensively. This can be seen from the results of the analysis which reveals that the strengths and opportunities possessed by Jikomalamo beach tourism have a higher average value than the weaknesses and threats. However, in the development of the beach tourism area, there is no cooperation between the government and the local community so the development process does not guarantee sustainability in the development of these tourist destinations

Start Time Planning for Cyclic Queuing and Forwarding in Time-Sensitive Networks

Time-sensitive networking (TSN) is a kind of network communication technology applied in fields such as industrial internet and intelligent transportation, capable of meeting the application requirements for precise time synchronization and low-latency deterministic forwarding. In TSN, cyclic queuing and forwarding (CQF) is a traffic shaping mechanism that has been extensively discussed in the recent literature, which allows the delay of time-triggered (TT) flow to be definite and easily calculable. In this paper, two algorithms are designed to tackle the start time planning issue with the CQF mechanism, namely the flow–path–offset joint scheduling (FPOJS) algorithm and congestion-aware scheduling algorithm, to improve the scheduling success ratio of TT flows. The FPOJS algorithm, which adopts a novel scheduling object—a combination of flow, path, and offset—implements scheduling in descending order of a well-designed priority that considers the resource capacity and resource requirements of ports. The congestion-aware scheduling algorithm identifies and optimizes congested ports during scheduling and substantially improves the scheduling success ratio by dynamically configuring port resources. The experimental results demonstrate that the FPOJS algorithm achieves a 39% improvement in the scheduling success ratio over the naive algorithm, 13% over the Tabu-ITP algorithm, and 10% over the MSS algorithm. Moreover, the algorithm exhibits a higher scheduling success ratio under large-scale TSN.

Priority-Elastic net for binary disease outcome prediction based on multi-omics data

BackgroundHigh-dimensional omics data integration has emerged as a prominent avenue within the healthcare industry, presenting substantial potential to improve predictive models. However, the data integration process faces several challenges, including data heterogeneity, priority sequence in which data blocks are prioritized for rendering predictive information contained in multiple blocks, assessing the flow of information from one omics level to the other and multicollinearity.MethodsWe propose the Priority-Elastic net algorithm, a hierarchical regression method extending Priority-Lasso for the binary logistic regression model by incorporating a priority order for blocks of variables while fitting Elastic-net models sequentially for each block. The fitted values from each step are then used as an offset in the subsequent step. Additionally, we considered the adaptive elastic-net penalty within our priority framework to compare the results.ResultsThe Priority-Elastic net and Priority-Adaptive Elastic net algorithms were evaluated on a brain tumor dataset available from The Cancer Genome Atlas (TCGA), accounting for transcriptomics, proteomics, and clinical information measured over two glioma types: Lower-grade glioma (LGG) and glioblastoma (GBM).ConclusionOur findings suggest that the Priority-Elastic net is a highly advantageous choice for a wide range of applications. It offers moderate computational complexity, flexibility in integrating prior knowledge while introducing a hierarchical modeling perspective, and, importantly, improved stability and accuracy in predictions, making it superior to the other methods discussed. This evolution marks a significant step forward in predictive modeling, offering a sophisticated tool for navigating the complexities of multi-omics datasets in pursuit of precision medicine’s ultimate goal: personalized treatment optimization based on a comprehensive array of patient-specific data. This framework can be generalized to time-to-event, Cox proportional hazards regression and multicategorical outcomes. A practical implementation of this method is available upon request in R script, complete with an example to facilitate its application.

A method for determining efficiency parameters based on efficiency-quality graph in incremental sheet forming

This study reveals the mechanisms by which efficiency parameters affect surface quality, mechanical properties, and configuration offset in incremental sheet forming (ISF), focusing on surface morphology and microstructural evolution. By constructing an efficiency-quality graph, a method is developed to determine efficiency parameters that balance quality and efficiency synergistically. The results show that increasing the step depth (Z) and decreasing the feed rate (v) intensify plowing and adhesion effects at the interface, degrading surface quality and enriching the presence of {001}<100> Cube and {112}<111> Copper textures, while the cross-sectional crystal orientation remains unaffected. Additionally, increasing Z enlarges grain size and reduces high-angle grain boundaries (HAGBs), amplifying micro-stress and defects, which deteriorates mechanical properties and increases configuration offset. Conversely, increasing v has minimal impact on mechanical properties but significantly increases configuration offset due to the rise in HAGBs, micro-stress, and defects. The efficiency-quality graph elucidates the complex synergistic relationship between forming efficiency and comprehensive quality of the formed parts, and the optimal efficiency parameters are identified by considering the priority order of different quality dimensions. Specifically, when prioritizing surface quality and hardness, the optimal parameters are Z = 0.1 mm and v = 5000 mm/min; when prioritizing configuration offset, the optimal parameters are Z = 0.1 mm and v = 1000 mm/min. Therefore, this study provides a comprehensive method for evaluating efficiency parameters in ISF, emphasizing the importance of balancing efficiency with quality.

Awareness and Attitudes Towards Open Access Predatory Publications Among the Academic Staff Members of Faculty of Management Studies and Commerce, University of Jaffna, Sri Lanka

The scholarly community is now dealing with a serious issue with predatory journals. It might be difficult for authors to identify predatory publications apart from reputable ones. The purpose of this study is to investigate the academic staff members of the Faculty of Management Studies and Commerce, University of Jaffna, Sri Lanka on awareness of predatory publications and open access. The research methodology used in this study to gauge participants' knowledge of "open access" and "predatory publishing" was a questionnaire survey. Data collection involved the use of a pretested questionnaire. The permanent academic staff members affiliated with the Faculty of Management Studies and Commerce, university of Jaffna comprised the study's population. A link to an online survey was shared with every one of the faculty's fifty-two academic staff members. The response rate of the study was 67.30 %. MS Excel was used for the data analysis to describe the data in frequencies, percentages and rank orders of responses.Socio demographic details shows that, highest number of respondents are female (57.14%), completed master/MPhil (51.42%), senior lecturer (57.14%) and interested in marketing (28.57%) as their research discipline. Respondents expressed their priority order for the factors considered to select journal to submit manuscript for publications, journal indexing is the highest priority. All the respondents have an idea about the open access publishing system. Respondents are expected to publish in open access journals because of high visibility, increasing citation number, prestigious journals and fast publication process in a frequency order. The result of the survey shows that, 97.15% of the respondents are knowledgeable about predatory publishing. Majority of the respondents are characterized, the predatory journals are, no insufficient peer review process, and Beall’s list of predatory journals used by the high number of respondents to differentiate legitimate journals from predatory journals. More than half of the respondents are satisfied with the services provided by the library to avoid publishing in predatory journals. Responses are summarized for each of the 8 statements about the impact of publishing in predatory journals. Almost all the statements are agreed by the respondents other than the statement of “Articles published in predatory journals are poor in quality”. Highest agreement found for the statement 3 which is “Predatory publications are not considered for any academic reward” in which 14out of 35 were strongly agreed and followed by the statement 2 “many researchers published articles due to lack of awareness about predatory publication” (13 out of 35). Finally respondents are suggested to organize more awareness session on open access publishing and journal selection to avoid predatory publishing.

Transforming Higher Education Towards Economic Development: A Zimbabwean Case Study

This study is a systematic review of research on higher education in Zimbabwe, in particular, it assesses the contribution of higher education towards engendering socio-economic development. This is achieved through identifying higher education activities prioritised in research during the study period which spans a three-year period from 2021 to 2023. This period comes just after the introduction of Education 5.0, which includes innovation and industrialisation. Furthermore, the articles are assessed on whether they address socio-economic development issues. A total of 41 abstracts of research articles were subjected to qualitative content analysis. The findings reveal five major activities that research has focussed on in priority order: teaching and learning; quality in education; management operations and policy; knowledge and research; and equity and equality. Furthermore, while the analysis indicates that the prioritised activities contribute towards socio-economic development, the nuances of balancing political, individual and epistemic priorities affecting higher education institutions are brought to the fore. The identified activities underscore the need for interventions at national, institutional, departmental and individual lecturer levels. However, there are concerns about the de-prioritisation of gender equality and equity in higher learning institutions in Zimbabwe. In conclusion, the research topics not only highlight the complexities and the dynamics faced by higher education institutions in Zimbabwe in playing their expected role of contributing to socio-economic development but also the need to foreground specificity to allow for the identification of effective interventions and processes required to support higher education’s goal of contributing towards economic growth. The study further concludes that the neglect of equity and equality issues may be detrimental to educational outcomes geared towards economic growth.

Sistem pendukung keputusan pengujian kendaraan inspeksi keselamatan (rampcheck) menggunakan metode Analitycal Hierarchy Process (AHP) di Terminal Purabaya

Transportation plays an important role in the economic and social development of a country, especially in the era of globalization. Especially public transportation, public transportation serves to connect rural areas with urban centers, plays an important role in maintaining community mobility and supporting economic development, especially bus transportation. The technical inspection process or rampchcek on buses at the terminal is a critical step in ensuring transportation safety and security. This study discusses the stages of rampchcek and the criteria used in vehicle testing at Purabaya Terminal. The problems to be discussed in this study are: (1) What is the priority order of criteria in determining the roadworthiness of bus transportation? (2) Which bus transportation should be declared roadworthy by the Purabaya Terminal rampcheck officer? (3) How does the rampcheck inspection process compare between manual checklists and automatic checklists on bus transportation at Purabaya Terminal? This study uses the AHP (Analytical Hierarchy Process) method as an approach to improve the rampcheck decision-making process. From the results of the assessment of the level of importance of criteria in determining the roadworthiness of bus transportation produces a priority scale or weight as follows: priority I administrative elements (0.54), priority II main technical elements (0.39), and priority III supporting technical elements (0.07). from the results of the assessment of the level of importance of alternatives in determining the roadworthiness of bus transportation produces a priority scale or weight as follows: priority I bus jaya utama indo (2.12), priority II bus eka (0.64), and priority III bus sugeng rahayu (0.24). based on the results of the calculation of the AHP (Analytical Hierarchy Process) method in determining the roadworthiness of bus transportation. Jaya Utama Indo is considered the best bus transportation. Furthermore, Eka as the second bus transportation. And Sugeng Rahayu as the third bus transportation.

Exploring the feasibility of high-capacity vehicle strategy on ridesharing service from the perspective of economic, social, and environmental sustainability

The emergence of ridesharing services is poised to significantly reshape the urban sustainability paradigm. With ever-growing demand, the adoption of high-capacity vehicles in shared mobility is becoming increasingly feasible. In this study, we present a high-capacity vehicle strategy to improve the economic, social, and environmental sustainability of the ridesharing system. To optimize the initial solution, deep reinforcement learning (DRL) is introduced into the framework of the NSGA-II algorithm. Based on the priority order, we apply lexicographic optimization to achieve the final solution. Ultimately, a case study is investigated to simulate the system performance on a realistic network of Chicago area. The results suggest that the high-capacity strategy with an incentive mechanism can substantially benefit all the stakeholders. Per-vehicle profit has drastically promoted from $82.50 to $95.00, meanwhile regret utility and carbon emissions decline to some extent. The best incentive discount for the high-capacity vehicle strategy is approximately 0.2. Overall, this study is significantly conducive to providing a new strategy to promote economic-social-environmental sustainability.

Deriving Priorities: Analytical Hierarchy Process (AHP) Approach (Case Study Of Traditional Gedogan Weaving Craft Products, Ranggo Village, Dompu, West Nusa Tenggara)

The objective of this study is to use the Analytical Hierarchy Process (AHP) method to prioritize alternative marketing strategies for traditional weaving handicrafts in Ranggo Village, Dompu, West Nusa Tenggara. The data for this study came from the questionnaire that traditional weaving craft business owners received. AHP ranks five criteria according to their weight: product, price, promotion, market segmentation, and market position. The study's findings show that the product has the most weight (1.98), followed by the price (1.49), market segmentation (0.99), promotion (0.71), and market position (0.41). In general, the research indicates that the marketing strategy of Gedogan's traditional weaving craft products is characterized by the following priority orders and critical components: product quality, price, market segmentation, promotion, and market position.

행정기본법 및 기타 법령상 이의신청제도와 그 개선방향

As enforcement of General Act on Public Administration, its Art.36 Civil Objection to Administrative Disposition System has important in Korean Legal System. In consequence of comparative legal research, it become clear that many countries - Germany, France and Dutch- have similar scheme for Civil Objection to Administrative Disposition. However in Korean legal System, Systemic Contradiction between provision for Civil Objection to Administrative Disposition should be resolved. Not only General Act on Public Administration, but also Civil Petitions Treatment Act has general clause for Civil Objection to Administrative Disposition System. Nonetheless provisions for Civil Objection to Administrative Disposition of two Acts is discrepant. Priority order in application of laws, Extension effect of period for filing lawsuit are still debatable. It’s even more confusing in legal terminology and provision of Other Law and Regulations. These require a solution which is a clarifying statutory amendment.

Redefining the modified water benefit-based ecological index to evaluate the impact of cropland expansion on the ecological environment in an arid area

Global land-use changes have a significant impact on the environment and food security, and escalating human activity and uncontrolled agricultural land expansion pose a grave threat to regional ecosystems. This study aims to assess the challenges faced by the environment and food security, with a particular focus on the impact of land use change on ecosystems. The study selected the Ebinur Lake Basin, a typical arid region in China, as the object and analyzed the land type changes from 2013 to 2021 using the Google Earth Engine platform and the China Land Cover Dataset. We created an Improved Water-Benefit-Based Ecological Index (IWBEI) based on the poor air quality environment in the watershed, and then calculated the ecological index of the watershed. The results indicate that the grassland and bare land areas in the Ebinur Lake Basin have fluctuated and shown an overall downward trend. The trend of farmland expansion is to expand to surrounding areas on the basis of existing farmland. The overall center of gravity of cultivated land in the watershed is moving from northwest to southeast, mainly towards the water source area. The IWBEI index is more prominent in identifying cultivated land and wetlands in arid regions. According to IWBEI's calculations, the priority order of land types is: forest > cultivated land > wetland > water > snow > grassland > impermeable surface > bare land. The overall ecological environment quality of the watershed is showing a deteriorating trend. Therefore, relevant departments should pay attention to the impact of farmland expansion on the local ecological environment to avoid the continuous deterioration of the ecological environment.

Innovative-serpentine cooling method of batteries: Both thermal and statistical method approach

Renewable energy, in particular, is critical for a sustainable world. Effective storage of energy is at the heart of all systems. While energy storage allows us to preserve the beauties offered by nature, it also requires innovative solutions that push the limits of technology. The most important factor affecting the performance of batteries is their temperature. For this reason, the serpentine cooling model, which is an innovative battery cooling method, was evaluated in this study. Generally, in the literature, batteries are considered as heat masses and given a certain heat flux and their temperature distributions are examined. In this study, batteries were connected to each other with busbars as in reality and thermal analyses were performed. In addition, a serpentine cooling method, which has never been used before, was tried as a cooling method in batteries. While all these evaluations were made, statistical analyses were performed for the priority order of the parameters used. All of these situations show how innovative the study is. The NTGK model was used in CFD analyses. 5 different parameters were considered. These are the discharge rate (0.5C, 1C, 1.5C, 2C and 2.5C), the type of refrigerant (air and water), the speed at which the refrigerant enters the model (0.01 m/s, 0.03 m/s and 0.05 m/s), the ambient temperature (293K, 298K and 300K), and the SOH value (50 %, 65 %, 75 %).Water has been shown to be a better refrigerant than air. As the inlet speed of the refrigerant was increased, the discharge rate was reduced, and the SOH value decreased, the temperature values obtained by the model were lower. The temperature values of the batteries according to their location in the model were also examined. 5-factor, 2-level experiments were conducted to examine statistically. It was checked whether the created values fit the distributions and it was seen that the most effective parameter used in the model was the type of refrigerant. In addition, the most statistically effective working conditions were also determined.

The Development of Entrepreneurship Courses for Prospective Teacher Students: Competency Analysis and Study Materials

Entrepreneurship courses are one of the important courses to be developed in the curriculum of education study programs. This is to equip students, apart from having abilities in the field of education, to have an entrepreneurial spirit. Prospective teacher students need to be equipped with entrepreneurial competencies as a provision for living life after graduating from lectures as prospective teachers. Currently, there are rarely studies on the development of entrepreneurship courses for prospective teachers. This study aims to develop competencies and study materials that need to be mastered by prospective teacher students in entrepreneurship courses. This research was conducted using the delphi method involving expert consensus to determine the competencies and study materials for entrepreneurship courses. These competencies and study materials are used as the basis for developing semester learning plans (RPS) by lecturers. The results showed that there are ten competencies that must be mastered by prospective teacher students in carrying out entrepreneurship lectures. The most important thing is about exploring local potential which can be utilized for entrepreneurial activities. The ten competencies were also analyzed based on priority order factors that must be trained to students. Through this research, it is necessary to develop a more practical curriculum for educational study programs.

Peanut Pickup Combine Harvester Seedling Vines Crushing Mechanism Performance Enhancement and Pilot Studies

Aiming at the current peanut pickup combine harvester seedling vines crushing mechanism operation qualified seedling length rate is low, the impurity rate is high, and the seedling vines crushing mechanism is optimized design. On the basis of the material characteristics of peanut seedling vines, taking the crushing mechanism as the research carrier, the interaction mechanism of the seedling vine mechanism was analyzed. Establish the mechanical model and motion trajectory model in the crushing process, simulate the peanut seedling vines crushing process based on the discrete element method, analyze the influence of the cutter shaft rotational speed, movement speed, and bending angle on the crushing of peanut seedling vines, and establish the regression model, and the results of the research show that the influence factors in the main order of priority are: knife shaft speed &gt; movement speed &gt; bending angle The optimal parameter combination is knife shaft speed 2171.94 r/min, movement speed 0.79 m/s, and bending angle 45°. According to the field test conditions, it is determined that the knife shaft rotational speed of 2170 r/min, movement speed of 0.8 m/s, and bending angle of 45° can make the peanut seedling vines crushing mechanism of the work performance to achieve a qualified seedling length rate of 97.292%, the rate of impurity content of 2.746%, and the error with the predicted value is less than 2%, which indicates that this study can provide a reference for the optimal design of the seedling vines crushing mechanism of the peanut pickup combine harvester.