Practical Support Research Articles

Vector Storage Based Long-term Memory Research on LLM

Abstract Current large language model (LLM) intelligences face the challenges of high inference cost and low decision quality when dealing with complex tasks, and are especially deficient in maintaining context coherence during long tasks. This research presents an innovative vector storage long-term memory mechanism model (VIMBank) to enhance the long-term context retention ability and task execution efficiency of LLM intelligences by storing and retrieving historical interaction data through a vector database. VIMBank utilizes a dynamic memory updating strategy and the Ebbinghaus forgetting curve theory to efficiently manage the memory of intelligences and reinforce critical information, forgetting unimportant data, and optimizing storage and reasoning costs. The experimental results show that VIMBank significantly improves the decision quality and efficiency of LLM intelligences in multi-tasking scenarios and reduces the computational cost. Compared with different agents, the success rate of task decision is increased by 10% to 20%, and the reasoning cost is reduced by about 23%, which provides an important theoretical basis and practical support for the future development of intelligences with long term memory and adaptive learning ability.

Society of Family Planning Research Practice Support: Approaching the concepts of gender and sex in family planning research

Gender and sex are distinct constructs that shape family planning related experiences, outcomes, and opportunities. This commentary provides guidance to clinical and social science researchers on: 1) current definitions of gender and sex; 2) when and why capturing information about gender, sex, or both is relevant to family planning studies; 3) recommended language for each stage of the research process to accurately and affirmingly recruit participants, collect and analyze data, and disseminate findings; and 4) approaches for engaging with already collected data or published research. Failing to address gender and sex with clarity and intention in family planning research can lead to biased samples, biased instruments, and biased data, consequently limiting scholarly knowledge of family planning desires, abilities, experiences, outcomes, and preferences.

상담사의 범죄경력 가족 상담 경험에 대한 질적 연구

This study was conducted to examine the counseling experiences of professional counselors who participated in the Family Psychological Support Project conducted by the Gyeonggi Branch of the Korea Legal Protection and Welfare Corporation from 2022 to 2023, and to explore improvements and complementary points of the project from the perspective of professional counselors. The study was conducted among six counselors, five of whom were affiliated with Gyeonggi National University, and aimed to help provide more suitable and efficient programs and practical institutional support for criminal offenders and their families. The research method used a phenomenological research method that can reflectively analyze participants' experiences in terms of structure and subjectivity, and in the data analysis, iterative comparative analysis was applied to deeply explore the inner experience and define the meaning of a total of 633 consultations in 28 cases from 2022 to 2023. As a result of the research analysis, 57 semantic units were derived, which were grouped into 12 components, which were further categorized into 5 categories. Category 1. 'Feelings before participating in counseling' consisted of two components, 'Worry and curiosity about clients with special needs' and 'Challenging new types of clients', with three and two semantic units, respectively. Category 2. 'Difficulties and obstacles' consisted of four components: 'Limitations faced in the counseling process', 'Clients' insincere attitude to participate in counseling', 'Lack of family cooperation and support', and 'Difficulties due to the situation faced by the client', with seven, three, five, and three meaning units respectively. Category 3. 'Emotions felt while participating in the project' consisted of three components: 'Emotions felt in the counseling scene', 'Gratitude and regret for institutional support', and 'Activeness of support from the industrial complex', with 9, 2, and 4 meaning units, respectively. Category 4. 'Positive outcomes' consisted of two components, 'Positive changes in clients through counseling' and 'Capacity enhancement of counselors', with 7 and 3 meaning units, respectively. Category 5. 'Effective improvement direction of business' is 'business and counseling support area', which has a total of 1 component and 7 meaning units. Based on these findings, we discussed the improvements and deficiencies of the Family Psychological Support Project and made recommendations to provide more suitable and efficient programmes and practical institutional support for criminal offenders and their families.

The Moderating Effect of Role Conflict on the Relationship between Perceived Organizational Support and Work Engagement

The purpose of the study is to investigate how role conflict affects the relationship between work engagement and perceived organizational support. The emotional and practical support that workers feel they receive from their organizations is referred to as perceived organizational support. Work engagement is the term used to describe a person's dedication, loyalty, and commitment to their work. The emergence of competing demands that people encounter in their professional responsibilities is referred to as role conflict. A questionnaire-based approach is used to collect data from 299 workers in a public agency. The acquired data is then subjected to statistical analysis using the AMOS and SPSS 24 software programs. The results imply that work engagement and perceived organizational support are positively correlated. Moreover, it is discovered that role conflict moderated the association between work engagement and perceived organizational support.

아동보호 목적에 부합하는 아동학대 초기대응 및 피해자지원에 대한 소고

An effective response to child abuse is a coordinated response by all agencies involved in preventing abuse and supporting children. Our legal system is very similar to that of the United Kingdom, which responded to child abuse early on by enacting the Children Act. It is very important to make child protection a nationwide goal and set a specific action plan for it, and to create a system that overhauls the relevant legal system and makes the many organizations involved in child abuse work together organically. The interviews with child abuse officials also highlighted a number of shortcomings in cooperation with other organizations, especially the police, which are involved in handling child abuse cases. The reasons for this include the lack of a complete legal system for information sharing and the lack of a higher authority to mediate conflicts. It is necessary to revise the law to substantially improve cooperation between organizations in the child abuse legal system. In addition, the victim's public defender system is being introduced to provide practical support to victims of child abuse, but it was found that there are limitations in the legal system for victim's public defenders to obtain information on child abuse. In this regard, it can be said that a prerequisite for receiving practical help for the healthy growth and protection of children is to obtain detailed information about the child and the environment in which the child is placed, so the law should be amended to give them practical authority in this regard.

Formulation Design and Optimization of High-Performance Concrete for Enhanced Properties

High-performance concrete, as a crucial construction material, finds extensive applications in critical engineering projects. This paper focuses on the formulation design and optimization of high-performance concrete. By analyzing the impact of different admixtures, additives, and mix proportions on concrete properties, the methods for enhancing concrete strength, durability, and crack resistance are explored. The study integrates experimental and simulation approaches to provide theoretical and practical support for the reliable application of high-performance concrete.

The impact of public art education on college students' mental health literacy.

This study aims to explore the impact of public art education on the mental health literacy of College Students. Conducted over a four-month period, the intervention involved freshmen from a Chinese college, comparing 1,334 students in the experimental group with 1,139 in the control group. Data were collected through a self-developed questionnaire and a standardized mental health literacy scale before and after the intervention. Results showed that the experimental group's overall mental health literacy score significantly increased from 64.051 pre-intervention to 79.260 post-intervention, while the control group showed no significant changes during the same period. The experimental group demonstrated significant improvements in their ability to identify psychological disorders, belief in receiving professional help, attitudes towards seeking appropriate help, and knowledge in seeking mental health information. Furthermore, the frequency of classroom interaction was positively correlated with improvements in mental health literacy (regression coefficient = 2.261***), highlighting the critical role of active participation in public art education settings. This study underscores the importance and effectiveness of implementing public art education in higher education and provides empirical support for future educational policies and practices.

Economic Growth, Industrialization, and CO2 Emissions in Pakistan: Insights from ARDL Modeling

This study explores how industrialization, economic growth (measured by GDP per capita), and CO? emissions have interacted in Pakistan over nearly five decades, from 1974 to 2022. It also considers the influence of population growth and foreign direct investment (FDI) on this relationship. To analyze the data, the ARDL model was used, ensuring the reliability of the results by confirming stationarity with the Augmented Dickey-Fuller (ADF) test. The results showed that in the long run, a 1% increase in GDP per capita and FDI inflows results in respective increases in CO? emissions of 0.33% and 0.061%. Still, a 1% rise in industrial activity lowers CO? emissions by 0.34%. In the short run, a 1% rise in GDP per capita and FDI reduces CO? emissions by 0.21% and 0.020%, respectively. Conversely, a 1% increase in industrial activity causes emissions of 0.29%. These findings are in line with the Environmental Kuznets Curve (EKC) theory, which holds that CO? emissions initially rises when a nation industrializes but as the technology advances and more rigorous rules are followed, the level of CO? emissions decreases. Based on these results, policies emphasizing investments in renewable energy, strict environmental rules enforced, and support of clean technologies and sustainable industrial practices are suggested.

A New Method for Non-Destructive Identification and Tracking of Multi-Object Behaviors in Beef Cattle Based on Deep Learning.

The method proposed in this paper provides theoretical and practical support for the intelligent recognition and management of beef cattle. Accurate identification and tracking of beef cattle behaviors are essential components of beef cattle production management. Traditional beef cattle identification and tracking methods are time-consuming and labor-intensive, which hinders precise cattle farming. This paper utilizes deep learning algorithms to achieve the identification and tracking of multi-object behaviors in beef cattle, as follows: (1) The beef cattle behavior detection module is based on the YOLOv8n algorithm. Initially, a dynamic snake convolution module is introduced to enhance the ability to extract key features of beef cattle behaviors and expand the model's receptive field. Subsequently, the BiFormer attention mechanism is incorporated to integrate high-level and low-level feature information, dynamically and sparsely learning the behavioral features of beef cattle. The improved YOLOv8n_BiF_DSC algorithm achieves an identification accuracy of 93.6% for nine behaviors, including standing, lying, mounting, fighting, licking, eating, drinking, working, and searching, with average 50 and 50:95 precisions of 96.5% and 71.5%, showing an improvement of 5.3%, 5.2%, and 7.1% over the original YOLOv8n. (2) The beef cattle multi-object tracking module is based on the Deep SORT algorithm. Initially, the detector is replaced with YOLOv8n_BiF_DSC to enhance detection accuracy. Subsequently, the re-identification network model is switched to ResNet18 to enhance the tracking algorithm's capability to gather appearance information. Finally, the trajectory generation and matching process of the Deep SORT algorithm is optimized with secondary IOU matching to reduce ID mismatching errors during tracking. Experimentation with five different complexity levels of test video sequences shows improvements in IDF1, IDS, MOTA, and MOTP, among other metrics, with IDS reduced by 65.8% and MOTA increased by 2%. These enhancements address issues of tracking omission and misidentification in sparse and long-range dense environments, thereby facilitating better tracking of group-raised beef cattle and laying a foundation for intelligent detection and tracking in beef cattle farming.

Integrated deep learning model for automatic detection and classification of stenosis in coronary angiography

Coronary artery disease poses a significant threat to human health. In clinical settings, coronary angiography remains the gold standard for diagnosing coronary heart disease. A crucial aspect of this diagnosis involves detecting arterial narrowings. Categorizing these narrowings can provide insight into whether patients should receive vascular revascularization treatment. The majority of current deep learning methods for analyzing coronary angiography are mostly confined to the theoretical research domain, with limited studies offering direct practical support to clinical practitioners. This paper proposes an integrated deep-learning model for the localization and classification of narrowings in coronary angiography images. The experimentation employed 1606 coronary angiography images obtained from 132 patients, resulting in an accuracy of 88.9 %, a recall rate of 85.4 %, an F1 score of 0.871, and a MAP value of 0.875 for vascular stenosis detection. Furthermore, we developed the "Hemadostenosis" web platform (http://bioinfor.imu.edu.cn/hemadostenosis) using Django, a highly mature HTTP framework. Users are able to submit coronary angiography image data for assessment via a visual interface. Subsequently, the system sends the images to a trained convolutional neural network model to localize and categorize the narrowings. Finally, the visualized outcomes are displayed to users and are downloadable. Our proposed approach pioneers the recognition and categorization of arterial narrowings in vascular angiography, offering practical support to clinical practitioners in their learning and diagnostic processes.

“For them it’s not the work, it’s the life”: humanitarian leadership development in the Global South

What are the leadership development needs of so-called ‘Global South’ humanitarian professionals? The humanitarian professionalisation agenda begun in the 1990s has evolved to include short courses and accredited programmes specifically aiming to build leadership skills. This paper explores how humanitarian professionals from the Global South understand the current context of leadership development, including its barriers of access, and potential for change to be more relevant to their lives and work. Using thematic analysis of eleven key informant interviews, the paper finds three levels of consideration: global politics and inequality, personal and professional enrichment, and practical support. The findings suggest that while humanitarian leadership training can be better tailored and made available to Global South leaders at all career stages, there is a wider, more crucial need to address systemic imbalances. This paper contributes to wider discussion on localisation and inequality in the humanitarian aid sector, and more specifically contributes to the literature on how systemic factors shape the limits of both professionalisation and expansion of humanitarian education initiatives.

Efficacy and Safety of Minimally Invasive Neuroendoscopic Surgery in the Therapy of Supratentorial Hypertensive Intracerebral Hemorrhage: A Meta-Analysis.

To systematically investigate the therapeutic effects of neuroendoscopic (NE) surgery in supratentorial hypertensive intracerebral hemorrhage (HICH), including key indicators such as hematoma evacuation rate, complications, and neurological prognosis, thus comprehensively understanding the superiority of NE surgery in supratentorial HICH therapy, and to provide scientific basis and decision-making support for clinical practice. The PubMed, EMBASE, Cochrane, Google, and CNKI databases were searched for relevant literature related to NE surgery for supratentorial HICH published before October 2023. Summary analyses of hematoma evacuation rate, mortality, clinical treatment, good functional outcome (Glasgow Outcome Scale, Glasgow Coma Scale, and modified Rankin Scale), and postoperative complications in the NE group were performed, and Revman 5.3 was used to conduct the meta-analysis. Fourteen trials with 1266 patients were enrolled in this meta-analysis, with an overall moderate risk of bias. Compared with craniotomy, NE-treated patients had a higher rate of cerebral hematoma evacuation, and their operative time, intraoperative blood loss, and hospital stay were markedly reduced. Moreover, NE surgery could better restore patients' neurological function and autonomy, presenting a higher Glasgow Outcome Scale, Glasgow Coma Scale, and a lower modified Rankin Scale. Moreover, NE surgery effectively reduced the incidence of mortality and postoperative complications, especially rebleeding and lung infection. Neuroendoscopic surgery not only better removes intracranial hematomas and improves neurological function and autonomy in supratentorial HICH patients, but also effectively reduces mortality and postoperative complications.

Resident and supervisor perceptions of gaining obstetrical competency in Family Medicine: a qualitative descriptive study

Introduction: Canadian Family Medicine (FM) residents, upon graduation, are disinclined to provide intrapartum care. The FM resident experience with obstetrical training has not been studied in over a decade while the FM landscape has changed. This study explored the FM resident experience in working towards their obstetrical competencies as one of the chief influences on their career decision to provide intrapartum care or not. Methods: Using a qualitative descriptive design, we conducted semi-structured interviews with second-year FM residents (n = 7) and obstetrical supervisors (n = 8) from one Ontario FM program. We coded and interpreted the transcripts for common themes. Results: FM residents working towards their intrapartum skills are influenced by the following themes: the learners’ unique and individual experience and expectations; opportunities in the training environment; and learning obstetrics in the changing FM landscape. Notably, the influence of FM maternity care role models permeated all themes. Conclusion: This study offers insight into potential areas of intervention to improve the FM residency training experience in intrapartum care. Investment in FM maternity education, in the undergraduate and postgraduate medical curricula, with continued support in practice, is critical to maintain comprehensive education and patient care, especially while Canada faces a maternity care crisis.

Transforming Wine By-Products into Energy: Evaluating Grape Pomace and Distillation Stillage for Biomass Pellet Production

The by-products of the wine industry represent a global production of 10.5 to 13.1 million tons of wine pomace annually. This study examines the chemical composition and energy potential of wine pomace and distillation stillage, evaluating their suitability for pellet production within ENplus® standards. Proximate analysis, elemental analysis, and calorimetric analysis were conducted on samples of the two by-products collected in a local Distillery in Portugal. The results reveal that wine pomace has a higher volatile matter content (62.695%) than distillation stillage, which, however, has lower ash content (3.762%) and higher fixed carbon (31.813%). Calorimetric analyses show that distillation stillage has a superior low heating value compared to wine pomace, with values exceeding 19 MJ/kg. Both by-products, however, exceed ENplus® limits for ash (≤0.70), nitrogen (≤0.3), and sulfur (≤0.04) content, presenting challenges for use as high-quality fuel pellets. Combining these biomasses with other materials could reduce the pollutant content of the pellet and improve efficiency. This study highlights the need for pre-treatment strategies to lower ash content and enhance combustion. Policy support for sustainable practices is essential to optimize the use of wine pomace and distillation stillage as renewable energy sources.

Practical evaluation of intelligent algorithms in ESG management of manufacturing enterprises

ESG (Environmental, Social and Governance) management practice is an important part of promoting sustainable operation and development of manufacturing enterprises. Currently, traditional evaluation methods have limitations such as low efficiency and lack of objectivity. To improve the efficiency and accuracy of ESG evaluation and promote the optimization of ESG performance in manufacturing enterprises, this article combined data mining and analytic hierarchy process (AHP) to conduct effective research on ESG management practice evaluation in manufacturing enterprises. This article adopted the best priority search strategy to collect and process enterprise ESG data. By using AHP to construct hierarchical and segmented objectives for target problems, a performance evaluation index system for management practices was built based on the evaluation objectives and hierarchical priority order. Finally, based on the performance evaluation of ESG management practices, the K-nearest Neighbor algorithm was applied to analyze historical data of key indicators. According to the weights, various key indicators were re-integrated, achieving practical evaluation and decision support for enterprise ESG management. To verify the effectiveness of data mining and AHP, this article took Z enterprise as the research object and conducted empirical analysis on it. The results showed that in terms of evaluation accuracy, the method proposed in this article achieved the highest evaluation accuracy of 92.51%, 91.16%, and 91.75% in environmental, social, and governance dimension data use case evaluation, respectively. The conclusion indicated that data mining and AHP could improve the accuracy of ESG management practice evaluation in enterprises, provide reliable decision support for enterprise development, and help promote sustainable development of enterprises.

Relationships among adult full, half, and stepsiblings: Does coresidence explain the stepgap?

AbstractObjectiveThis article aims to compare adult sibling ties of stepsiblings to the ties of full and half‐siblings in divorced families, widowed families, and single‐parent families.BackgroundSiblings are one of the most stable sources of attachment and companionship over the life course and function as important providers of practical and emotional support when going through important life transitions. Due to a steep rise in divorce over the past decades and accompanied increases in remarriage and multipartner fertility, many adults nowadays not only have full siblings, but also half‐siblings and stepsiblings.MethodUsing a new module on adult sibling relationships and random‐ and fixed‐effects modeling (OKiN, N = 4506 dyads nested in N = 1742 respondents), we examine the quality of full, half, and stepsibling ties in adulthood and test the main mechanisms driving a potential stepgap in sibling ties: (1) the (absence) of a shared genetic relatedness and (2) the amount of time shared in the same parental household.ResultsThe weaker bonds adults, on average, have with their stepsiblings compared to their biological (full and half) siblings are largely explained by the shorter period of time they have lived together during childhood. Nevertheless, a substantial gap remains.ConclusionOur results confirm that a stepgap in sibling closeness, contact, and support is visible, but substantially reduced once shared time is considered.

The SME tool supporting employers of small- and medium-sized enterprises during the return to work of employees on long-term sick leave: study protocol for a randomized controlled trial and for a process evaluation

BackgroundReturning to work after long-term sick leave can be challenging, particularly in small- and medium-sized enterprises (SMEs) where support may be limited. Recognizing the responsibilities and challenges of SME employers, a web-based intervention (hereafter the SME tool) has been developed. The SME tool aims to enhance the employer’s intention and ability to support the sick-listed employee. Based on the Self-Determination Theory, it is hypothesized that this intention is enhanced by intervening in the employer’s autonomy, competences, and relatedness targeted at, e.g., communication with sick-listed employee, involvement of other stakeholders, and practical support. This is achieved by means of providing templates, communication videos, and information on legislation. This article describes the design of an effect and process evaluation of the SME tool.MethodsA randomized controlled trial (RCT) with a 6-month follow-up will be conducted with a parallel-group design with two arms: an intervention group and a control group. Sick-listed employees (≤ 8 weeks) of SMEs (≤ 250 employees) at risk of long-term sick leave and their employers will be recruited and randomly allocated as a dyad (1:1). Employers randomized to the intervention group receive unlimited access to the SME tool, while those in the control group will receive care as usual. The primary outcome is the satisfaction of the employee with the return to work (RTW) support provided by their employer. Secondary outcomes include social support, work performance, and quality of work life at the employee level and self-efficacy in providing RTW support at the employer level. Outcomes will be assessed using questionnaires at baseline and 1, 3, and 6 months of follow-up. Process evaluation measures include, e.g., recruitment and use of and perceived usefulness of the SME tool. Additionally, semi-structured interviews with employers, employees, and occupational physicians will explore the interpretation of the RCT results and strategies for the national implementation of the SME tool.DiscussionThe SME tool is hypothesized to be valuable in addition to usual care helping employers to effectively support the RTW of their long-term sick-listed employees, by improving the employers’ intention and ability to support.Trial registrationClinicalTrials.gov, NCT06330415. Registered on February 14, 2024.

Moderate burden amongst caregivers posthip arthroscopy linked to younger caregiver age and task load: A cross-sectional survey study.

To evaluate the burden experienced by primary informal caregivers of patients who have undergone hip arthroscopy and to identify factors that predict increased caregiver burden. A cross-sectional study was conducted at a single academic hospital centre, enroling caregivers of patients who underwent hip arthroscopy between November 2018 and November 2023. Caregiver burden was assessed using the Caregiver Burden Inventory (CBI) survey. Multivariable linear regression models were used to identify predictors of caregiver burden, with the global CBI score serving as the primary outcome measure. Secondarily, open-ended survey questions were analyzed qualitatively to elucidate specific challenges and facilitators of caregiving, as reported by the caregivers themselves. The study involved 99 eligible caregivers (mean [standard deviation] age; 47 [11] years), 58% were female, and 85% were relatives of the patient. The median global CBI score was 13.0 (interquartile range: 8.0-22.4), indicating a moderate burden. Regression analyses demonstrated that younger caregiver age and a higher number of caregiving tasks were significant predictors of increased global burden. Additionally, nonweightbearing status of patients, female gender of caregivers and working full-time statistically significantly increased specific dimensions of caregiver burden. This study highlights the meaningful burden faced by caregivers of patients undergoing hip arthroscopy, despite its minimally invasive nature and outpatient setting. Identified risk factors such as younger caregiver age, female gender of the caregiver, nonweight-bearing status and increased caregiving tasks suggest targeted areas for intervention. The qualitative analysis revealed that caregivers struggle with time management and physical and emotional strain, yet better communication and practical support from healthcare teams could help to alleviate these challenges. Level IV, prognostic study.

Developing an institutional control framework for contaminated sites in China: An analytical case study

Institutional controls, as an important measure for risk management of contaminated sites, is widely used in site management by the United States, Canada and European countries. At present, some regions in China have also begun to explore the implementation of institutional controls, but its path, safeguard mechanism, and tracking evaluation are still unclear. Based on China's unique contaminated site remediation control system and land management system, this paper proposes a framework for the whole life cycle institutional controls of China's contaminated sites: (1) evaluate the need for institutional controls; (2) establish the objectives of institutional controls; (3) identify the restrictive requirements of institutional controls; (4) establish the implementation form of institutional controls; and (5) regularly review the effectiveness of institutional controls. To demonstrate the applicability of the institutional control framework, a case demonstration study was conducted at a petrochemical contaminated site in China. By analyzing the information on residual pollutants after the implementation of risk management measures at the site, the exposure pathways and hazards in case of re-release, and the engineering facilities, we proposed eight restrictive requirements, including the prohibition of disturbing and damaging the clean and planted soil layers of the site and the protection of long-term monitoring wells. At the same time, we constructed a multi-departmental pathway to implement institutional controls in conjunction with ecological environment, natural resources and housing departments to ensure effective implementation of institutional controls. Eventually, we summarized a set of replicable and generalizable institutional controls application models, which provide valuable theoretical and practical support for China and other local governments in the implementation of institutional controls at contaminated sites.

The evolution of cutinase Est1 based on the clustering strategy and its application for commercial PET bottles degradation

The rapid increase in global plastic consumption, especially the worldwide use of polyethylene terephthalate (PET), has caused serious pollution problems. Due to the low recycling rate of PET, a substantial amount of waste accumulates in the environment, which prompts a growing focus on enzymatic degradation for its efficiency and environmentally friendliness. This study systematically designed and modified a cutinase, Est1 from Thermobifida alba AHK119, known for its potential of plastic-degradation at high temperatures. Additionally, the introduction of clustering algorithms provided the ability to understand and modify biomolecules, to accelerate the process of finding the optimal mutations. K-means was further proceeded based on the positive mutations. After comprehensive screening for thermostability and activity mutation sites, the dominant mutation Est1_5M (Est1 with the mutations of N213M, T215P, S115P, Q93A, and L91W) exhibited satisfying degradation ability for commercial PET bottles. The results showed that Est1_5M achieved a degradation rate of 90.84% in 72 h, 65-fold higher than the wild type. This study offers reliable theoretical and practical support for the development of efficient PET-degrading enzymes, providing a reference for plastic pollution management.