High-quality Design Research Articles

Risk control of sports flooring in athletic activities from the perspective of inertia mechanics

From the perspective of inertia mechanics, sports flooring plays a critical role in controlling safety risks in athletic activities. Firstly, high-quality flooring materials and structural designs can effectively absorb impact forces generated during exercise, thereby reducing the physical burden on athletes and lowering the risk of injury. Secondly, flooring materials with good resilience can provide appropriate rebound properties, offering better support and reaction forces for athletes, thus improving both performance and safety. Additionally, high-quality flooring materials possess high durability and stability, maintaining their performance over prolonged use and minimizing safety hazards caused by material degradation. Lastly, flooring design should account for the characteristics of different sports, providing suitable coefficients of friction and elasticity to meet the needs of various athletes and reduce the likelihood of accidents during sports activities. Therefore, the design and material selection of sports flooring play an essential role in ensuring athlete safety and enhancing athletic performance. The findings of this study have significant implications for future research and practical applications, as they provide a scientific basis for the development of safer, more effective sports flooring solutions that can be tailored to meet the specific needs of different sports disciplines.

The application of artificial intelligence-assisted technology in cultural and creative product design

This study proposes a novel artificial intelligence (AI)-assisted design model that combines Variational Autoencoders (VAE) with reinforcement learning (RL) to enhance innovation and efficiency in cultural and creative product design. By introducing AI-driven decision support, the model streamlines the design workflow and significantly improves design quality. The study establishes a comprehensive framework and applies the model to four distinct design tasks, with extensive experiments validating its performance. Key factors, including creativity, cultural adaptability, and practical application, are evaluated through structured surveys and expert feedback. The results reveal that the VAE + RL model surpasses alternative approaches across multiple criteria. Highlights include a user satisfaction rate of 95%, a Structural Similarity Index (SSIM) score of 0.92, model accuracy of 93%, and a loss reduction to 0.07. These findings confirm the model’s superiority in generating high-quality designs and achieving high user satisfaction. Additionally, the model exhibits strong generalization capabilities and operational efficiency, offering valuable insights and data support for future advancements in cultural product design technology.

Light design in children's play environment

The article offers a review of domestic and foreign experiences in lighting design of children's playgrounds. The need to study this topic is due to the lack of clear differentiation of lighting equipment for children's play environments. The analysis includes the possibilities and prospects for the participation of light in children's play activities. Lighting design is considered in terms of its features, location and lighting scenarios. Based on a broad analysis of design experiences, a typology of lighting scenarios in a children's play environment is proposed, and examples of their implementation and characteristic features are presented. The typology will allow design proposals to be differentiated and the advantages of individual types to be used for high-quality lighting design for children's play environments.

Biosecurity measures reducing Salmonella spp. and hepatitis E virus prevalence in pig farms—a systematic review and meta-analysis

Salmonella spp. and hepatitis E virus (HEV) are significant foodborne zoonotic pathogens that impact the health of livestock, farmers, and the general public. This study aimed to identify biosecurity measures (BSMs) against these pathogens on swine farms in Europe, the United States, and Canada. Overall, 1,529 articles from three scientific databases were screened manually and with the artificial intelligence (AI) tool ASReview. We identified 54 BSMs from 32 articles, primarily focused on Salmonella spp. control. Amongst the extracted BSMs, only five measures for Salmonella spp. control, namely, ‘acidification of feed’, ‘acidification of drinking water’, ‘rodent control’, ‘all-in and all-out production’, and ‘disinfection’ had sufficient observations to conduct a meta-analysis. Of these five, acidification and rodent control were found to be protective measures, that is, their summary odds ratios in the corresponding meta-analyses were lower than 1, indicating lower odds of Salmonella spp. presence on farms which implemented these BSM compared to farms which did not implement them (odds ratio [OR] around 0.25). All-in and all-out production showed a non-significant protective effect (OR = 0.71), while disinfection showed a statistically non-significant lack of association between disinfection and the presence of Salmonella spp. on the farm (OR = 1.03). For HEV, no meta-analysis could be performed. According to multiple articles, two BSMs were significantly associated with a lower risk of HEV presence, namely, disinfecting vehicles (OR = 0.30) and quarantining pigs before introducing them on the farm (OR = 0.48). A risk of bias assessment for each included article revealed a high risk in the majority of the articles, mainly due to selection and performance bias. This emphasises the lack of standardised, high-quality study designs and robust empirical evidence linking BSM implementation to pathogen reduction. The limited data available for meta-analysis, coupled with the high risk of bias (RoB) in the literature, highlights the urgent need for more substantial evidence on the effectiveness of BSMs in mitigating the transmission and spread of zoonotic pathogens, such as Salmonella spp. and HEV on pig farms.

Challenges and coping strategies of cancer screening research and practice in China: Taking esophageal cancer as an example

For most cancers, clear intervention targets for primary prevention are lacking, due to unidentified high-risk causal factors. Consequently, the focus of cancer prevention and control in China has shifted towards early screening and treatment within the general population. This review outlines the significant challenges in research and practice of cancer prevention and control in China, including: ①inadequate understanding of the natural history of cancer; ② limited high-level evidence supporting cancer screening effectiveness and value; ③compromised efficiency and accuracy in current screening modality; and ④ insufficient universality and sustainability of the current screening practices, taking esophageal cancer as an example. To address these challenges, we propose potential coping strategies: ① establishing tailored technologies and pathways for cancer prevention and control based on population-based and clinical epidemiological studies using high-quality designs; ②breaking conventional constraints to establish a novel, efficient, and precision cancer screening strategy and modality that aligned with the frontline needs of cancer prevention and control; and ③establishing enhanced communication platforms among government policymaking departments, scientific research teams, and industrial institutions to foster collaboration and translation in the field of cancer prevention and control. Ultimately, through the collaboration of multiple disciplines and departments, we will jointly achieve the long-term goal of cancer prevention and treatment.

Group Aural Rehabilitation: A Scoping Review

Purpose: The purpose of this study was to synthesize published literature on group aural rehabilitation (AR) for older adults with hearing loss and update the research guidance since Hawkins (2005). Method: The scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Scoping Review extension and included five databases. Articles were selected for evaluation if they had been published since 2005, were primary research about group AR for older adults, and were in the English language. Evaluation criteria and data extraction were based on the study design, participant demographics, intervention, and outcome. Results: Three randomized controlled trials (Hickson et al., 2007; Preminger & Yoo, 2010; Preminger & Ziegler, 2008) met all criteria and were selected for further review. Common exclusion reasons included small sample sizes and study designs that were low on the hierarchy of evidence. Conclusion: A few published articles for group AR indicate effectiveness, but the area is in need of additional research that includes high-quality study designs, including consideration of effect sizes, reporting of participant demographics, variables specific to the intervention, and outcomes. Supplemental Material: https://doi.org/10.23641/asha.27122271

A175: Effects of Physical Activity Interventions on Physical Fitness in Chinese Preschool Children

Background: The early years are a critical period for the development of health-related physical fitness (PF). National surveillance data showed that PF decreased among Chinese preschool children aged 3-6 years. There is a widespread call for effective physical activity (PA) intervention strategies for this age group. Nevertheless, the depth and breadth of the evidence on such interventions in Chinese preschoolers remains relatively small. Therefore, the present systematic review aimed to investigate the effects of PA interventions on PF in typically developing Chinese young children. Methods: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, a literature search was carried out for full-text articles published in journals on China National Knowledge Infrastructure (CNKI), Wanfang Database, Web of Science, PubMed, and EBSCO from inception to February 2024. Search terms were used in combinations: (preschool* OR kindergarten OR child*) AND (OR activ* OR exercis* OR game*) AND (intervention OR program OR trial) AND (physical fitness OR health-related fitness OR physical performance) AND (China OR Chinese). The inclusion criteria were: (1) sample which was comprised of healthy, normal developing Chinese children (3-6 years) without motor or mental impairments; (2) intervention studies with implementation of any forms of PA; (3) outcome measures for changes in PF. Results: A total of 35 studies were included. Among eligible literature, 25.7% of studies (n=9) were reported as randomized controlled trials, 17.1% of studies (n=6) were cluster-randomized controlled trials and the remaining 57.2% (n=20) were non-randomized controlled trials. Sample sizes ranged from 50 to 2132 (51.2% boys). Intervention duration varied from two weeks to sixty weeks. The sessions were held once to seven times a week, and the duration of one intervention session varied from 15 to 120 minutes. There was a large variation in the content of PA interventions from structural physical exercise curriculum, traditional Chinese games, and specific sport games (e.g., basketball, football, wushu) to multiple programs including interventions on levels of schools, teachers, and parents. Most of the included studies demonstrated the beneficial effects of PA interventions on preschoolers' flexibility, agility, balance, and coordination ability, while significant effects were rarely observed in anthropometric indicators. Conclusion: PA interventions were consistently found to be favorable to a broad range of physical fitness indicators in Chinese preschool children. We recommend researchers conduct more studies with high-quality designs to testify the effectiveness of PA strategies in improving PF among young children.

The Influence of Material and Design on the Selling Price of Bebe Longtorso Party Wear and Vest Children's Clothing

This study aims to analyze the influence of material and design on the purchasing potential of two categories of children's fashion products, namely Bebe Longtorso party wear and vest children's clothing. In the children's fashion industry, material and design play a crucial role in attracting consumer interest, especially in categories of clothing with specific usage purposes. Party wear and playwear have different functional and aesthetic needs, making the selection of appropriate materials and designs essential for determining consumer preferences and purchasing decisions. This research employs a quantitative descriptive method, utilizing a survey assessment of a sample population of 61 respondents, including fashion design students from UNY, fashion practitioners, and parents who frequently purchase children's clothing, and employs multiple regression data analysis. The research objects consist of four Bebe party wear products and four casual playwear products. The results indicate that the fabric and design of the clothing significantly influence the selling price of Bebe Longtorso party wear and vest children's clothing. Therefore, it can be concluded that high-quality materials and designs can enhance the purchasing potential of Bebe Longtorso party wear and vest children's clothing.

Automated optimisation design of barge structures using integrated knowledge-based approaches

ABSTRACT An integrated automatic optimisation simulation system for barge structure design has been developed to enhance efficiency and quality. This system incorporates a knowledge-based geometrical modelling method for barge structure design, allowing for the automatic construction of computational models of barge sections through direct transfer of geometric models. Furthermore, a barge structure optimisation simulation system integrated with direct calculation has been established. The effectiveness of this approach is demonstrated through the successful application of structural optimisation to a 65 m barge section, resulting in higher quality design solutions. This research offers an efficient and effective method for achieving high-quality design solutions in the field of barge structure design.

Integrating symbolic reasoning into neural generative models for design generation

Design generation requires tight integration of neural and symbolic reasoning, as good design must meet explicit user needs and honor implicit rules for aesthetics, utility, and convenience. Current automated design tools driven by neural networks produce appealing designs, but cannot satisfy user specifications and utility requirements. Symbolic reasoning tools, such as constraint programming, cannot perceive low-level visual information in images or capture subtle aspects such as aesthetics. We introduce the Spatial Reasoning Integrated Generator (SPRING) for design generation. SPRING embeds a neural and symbolic integrated spatial reasoning module inside the deep generative network. The spatial reasoning module samples the set of locations of objects to be generated from a backtrack-free distribution. This distribution modifies the implicit preference distribution, which is learned by a recurrent neural network to capture utility and aesthetics. The sampling from the backtrack-free distribution is accomplished by a symbolic reasoning approach, SampleSearch, which zeros out the probability of sampling spatial locations violating explicit user specifications. Embedding symbolic reasoning into neural generation guarantees that the output of SPRING satisfies user requirements. Furthermore, SPRING offers interpretability, allowing users to visualize and diagnose the generation process through the bounding boxes. SPRING is also adept at managing novel user specifications not encountered during its training, thanks to its proficiency in zero-shot constraint transfer. Quantitative evaluations and a human study reveal that SPRING outperforms baseline generative models, excelling in delivering high design quality and better meeting user specifications.

Optimization Analysis of Clothing Fabric Design Based on Autoencoder and Generative Adversarial Neural Network

In order to meet the challenges of increasingly diverse clothing styles and consumer demands in the market, traditional fabric design methods have become difficult to meet the needs of rapid iteration and innovation due to their time-consuming, costly, and subjective preferences of designers. In view of this, we propose an innovative fabric design optimization simulation strategy aimed at breaking through these bottlenecks through technological means. This strategy cleverly integrates advanced technologies of variational autoencoder (VAE) and generative adversarial network (GAN). First, VAE is used to capture and learn the complex distribution characteristics of existing clothing fabric designs, which include key information such as fabric texture, color matching, and structural details. Subsequently, GAN uses the hidden vectors obtained from VAE as input to generate brand new fabric design samples. During the training phase, GAN continuously iterates and optimizes, engaging in intense “adversarial” interactions between its generator and discriminator. The generator is dedicated to creating new samples that are as close to real fabric designs as possible, while the discriminator is responsible for identifying the authenticity of these samples. This process is implemented through backpropagation (BP) loss function, ensuring that the generated fabric design can visually simulate real fabrics. Experimental verification shows that this method can not only effectively generate high-quality and realistic clothing fabric designs, but also greatly shorten the design cycle and reduce costs.

Research on the "Dual System" Talent Cultivation Model of School-Enterprise Cooperation

Taking the packaging planning and design major as the research object, this paper focuses on the application of the "dual system" talent cultivation model of school-enterprise cooperation. By deeply analyzing relevant educational theories and extensively collecting and studying practical cases at home and abroad, the purpose is to comprehensively and deeply reveal the significant advantages of this cultivation model in improving the practical ability of packaging major students and enhancing their adaptability to the rapidly changing market demands. On this basis, this research further discusses the challenges and problems faced by this model in the implementation process from multiple dimensions, such as the depth and breadth of school-enterprise cooperation, the rationality of curriculum setting, and the effectiveness of practical teaching. At the same time, combined with the actual situation and development trends, a series of practical optimization strategies and constructive suggestions are put forward in a targeted manner to promote the more perfect and efficient operation of the "dual system" talent cultivation model in the packaging major and provide strong support and guarantee for cultivating high-quality packaging planning and design talents.

Expanding the associations between built environment characteristics and residential mobility in high-density neighborhood unit

Global trend of urbanization has led to frequent residential mobility and urban shrinkage issues. Planners and policy makers advocate for enhancing built environment quality of neighbourhood units to address these issues. Although the impact factors and degree of the influence of the built environment on residential mobility have been studied, the nonlinear effects at the neighbourhood level, and the relative importance when considered alongside other factors, remain unclear. In this study, the central area of Nanjing using mobile phone signalling data, the 5Ds framework, machine learning algorithms, and interpretable model Shapley Additive exPlanations (SHAP) are examined. The finding shows that (1) economy and neighbourhood ties are still key drivers of relocation. (2) Optimizing highly accessible road network for short-distance travel and developing low-density urban mode has become significant methods to attract relocators, interacting with other factors to influence residential mobility. (3) High-quality neighbourhood design, diverse amenities, and proximity to natural landscapes increase willingness to relocate, (4) while religion, socio-demographics, and large-scale transportation accessibility have minimal impact. The study offers four urban development recommendations to help municipal planners and policy makers create liveable cities and cohesive communities, providing essential insights for early or renewal stage urban planning stages.

High-Quality Image Compression Algorithm Design Based on Unsupervised Learning.

Increasingly massive image data is restricted by conditions such as information transmission and reconstruction, and it is increasingly difficult to meet the requirements of speed and integrity in the information age. To solve the urgent problems faced by massive image data in information transmission, this paper proposes a high-quality image compression algorithm based on unsupervised learning. Among them, a content-weighted autoencoder network is proposed to achieve image compression coding on the basis of a smaller bit rate to solve the entropy rate optimization problem. Binary quantizers are used for coding quantization, and importance maps are used to achieve better bit allocation. The compression rate is further controlled and optimized. A multi-scale discriminator suitable for the generative adversarial network image compression framework is designed to solve the problem that the generated compressed image is prone to blurring and distortion. Finally, through training with different weights, the distortion of each scale is minimized, so that the image compression can achieve a higher quality compression and reconstruction effect. The experimental results show that the algorithm model can save the details of the image and greatly compress the memory of the image. Its advantage is that it can expand and compress a large number of images quickly and efficiently and realize the efficient processing of image compression.

Comprehensive analysis of clinical research profiles and study characteristics of oral potentially malignant disorders: an observational study

ObjectiveThe study aims to present an observational study of clinical trials on Oral Potentially Malignant Disorders (OPMDs) and corresponding publications. Study design and settingWe searched the OPMDs-related clinical studies registered in the ClinicalTrials.gov database before March 1, 2024. Subsequently, we investigated the publication status of primary completed studies using PubMed and Google Scholar. ResultsA total of 185 studies were identified for analysis, including 141 interventional studies and 44 observational studies. The most commonly studied disease type was oral lichen planus (OLP), accounting for 113 studies (61.1 %). Interventional studies on OPMDs were predominantly early-phased, blind, randomized, parallel and single-center. The primary purpose of these studies was treatment (106, 75.2 %). Among the treatments, herbal medicine (21, 19.8 %), photodynamic therapy (17, 16.0 %), and glucocorticoids (14, 13.2 %) were of greatest interest. In addition, 58 (63.0 %) of the primarily completed interventional studies were published, with a median time to publication of 33.6 months. Published interventional studies including OLP patients and factorial designs had shorter time to publication. However, these studies were less frequently published in high-impact journals and most primary results were positive. ConclusionsClinical trials on OPMDs predominantly focused on OLP and herbal medicine. The quality of studies is unsatisfactory and publication rate is suboptimal. Improvements are needed in ClinicalTrials.gov registration standards, high-quality study design and more stringent publishing requirements.

Exploration of Integrating South African Heritage into Art and Design Courses in Universities

With the country s attention to the cultural industry enabling rural revitalization, the inheritance and protection of intangible cultural heritage (hereinafter referred to as intangible cultural heritage ) has become an important subject of art and design professional education in colleges and universities. How to integrate the South African heritage into the teaching of art and design courses in universities aims to cultivate high-quality art and design talents with regional cultural characteristics through innovative education mode, and help the construction of Hainan Free trade Port and rural revitalization. The rich connotation and educational value of the South African heritage, the specific practice of universities in the integration of intangible cultural heritage into teaching, including curriculum setting, teaching mode, scientific research projects and social services.

Fabrication of Conical Microstructure Array for Stable Droplet Generation Over Wide Flow Rate Range.

Droplet generators with the ability to resist flow fluctuations are of importance for microfluidic chip analysis systems. However, obtaining stably desired-size droplets is still a bugbear since even slight fluctuations can cause polydisperse droplets. In this study, a high-performance droplet generator is achieved with a functional conical array housed in the junction of the channels. The conical microstructures are fabricated through the selective etching of the scratched silicon nitride/silicon (Si3N4/Si) substrate in potassium hydroxide (KOH) etchant, where the combination of lateral and normal material removal contributes to the structure formation. It is found that the key role of the conical microstructures is to regulate the flow rate of the continuous phase, which allows droplet generation to turn to the necking phase and enables droplets to shed more easily. It is also noted that the droplet generator with such a conical array can produce monodisperse droplets in wide-range flow, providing new insights for high-quality device design.

A scoping review of coaching in occupational therapy: Mapping methods, populations and outcomes.

Coaching is proposed as a core enabling skill of occupational therapy and increasingly suggested for a diverse range of health populations. In recent years, research on coaching has proliferated, emerging from within and outside of occupational therapy. Yet, concern has been raised about the absence of theoretical underpinning and diversity of descriptions of coaching in occupational therapy, as well as low-quality evidence supporting its effectiveness. The aim of this study is to map the use of coaching by occupational therapists from 2007 to 2022 to identify the populations, settings and outcomes it is applied to, differences between coaching interventions and evidence supporting its use. This systematic scoping review applied Arksey and O'Malley's five-stage methodological framework with further methodological direction using the Levac framework. There was no consumer involvement in undertaking this review. Findings from 60 research publications on coaching indicate its use with populations across the lifespan in primarily community settings to improve occupational performance, participation and self-efficacy. A wide range of coaching interventions are designed or used by occupational therapists, with Occupational Performance Coaching being the most researched (16/27, 59% of named interventions). Common elements of coaching interventions included collaborative goal setting and problem-solving; however, a lack of described theory or coaching methods persists. High-quality study designs indicate its effectiveness; however, an absence of fidelity definition or monitoring limits interpretation of many studies. The language of coaching is becoming common practice within occupational therapy, and evidence indicates effectiveness of some coaching interventions. Advances in coaching research and use by occupational therapists will be aided by an explicit statement of the theoretical basis for coaching interventions, with congruent coaching methods, mechanisms and outcomes stated. This scoping review maps the use of coaching by occupational therapists in current published research. Key aspects of coaching examined include how coaching is defined, who it is used with and how effective it is. The kinds of outcomes that coaching is intended to improve are also reported. From 633 publications, 60 research publications were fully analysed. The use of coaching by occupational therapists has grown rapidly over the past 10years. Strong evidence of its effectiveness exists for achieving the personal goals of people receiving occupational therapy when goals describe changes in everyday life activities. Coaching is being used with people across the lifespan with a variety of disabilities and chronic conditions and their caregivers/parents, most commonly parents of children with developmental issues. The key features of coaching interventions used by occupational therapists include collaborative goal setting, shared problem-solving and client-led action planning. Some elements of coaching are also used within other interventions with a wider range of methods. Coaching is believed to work by supporting an individual's self-belief that they can make changes. Theories that underpin coaching vary but commonly focus on self-determination, behaviour change and occupational therapy theory. However, many of the coaching interventions do not describe any theoretical basis nor coaching methods in detail. Future research on coaching in occupational therapy should ensure a clear explanation of the theory that underpins it, coaching methods and monitoring of how well coaching is applied.

The Use of Nudge Strategies in Improving Physicians' Prescribing Behavior: A Systematic Review and Meta-analysis.

Nudges have been proposed as a method of influencing prescribing decisions. The purpose of this article is to 1) investigate associations between nudges' characteristics and effectiveness, 2) assess the quality of the literature, 3) assess cost-effectiveness, and 4) create a synthesis with policy recommendations. We searched health and social science databases. We included studies that targeted prescribing decisions, included a nudge, and used prescribing behavior as the outcome. We recorded study characteristics, effect size of the primary outcomes, and information on cost-effectiveness. We performed a meta-analysis on the standardized mean difference of the studies' primary outcomes, tested for associations between effect size and key intervention characteristics, and created a funnel plot evaluating publication bias. We identified 21 studies containing 25 nudges. In total, 62 of 85 (73%) outcomes showed a statistically significant effect. The average effect size was -0.22 standardized mean difference. No studies included heterogeneity analyses. We found no associations between effects and selected study characteristics. Study quality varied and correlated with study design. A total of 7 of 21 (33%) studies included an evaluation of costs. These studies suggested that the interventions were cost-effective but considered only direct effects. We found evidence of publication bias. Heterogeneity and few studies limit the possibilities of statistical inference about effectiveness. Nudges may be effective at directing prescribing decisions, but effects are small and health effects and cost-effectiveness are unclear. Future nudge studies should contain a rationale for the chosen nudge, prioritize the use of high-quality study designs, and include evaluations of heterogeneity, cost-effectiveness, and health outcomes to inform decision makers. Moreover, preregistration of the protocol is warranted to limit publication bias. Nudging as a method to improve prescribing decisions has gained popularity during the past decade.We find that nudging can improve prescribing decisions, but effect sizes are mostly small, and the size of derived health outcomes is unclear.Most studies use feedback and error-stopping nudges to target excessive opioid or antibiotic prescribing, making heterogeneity analyses across nudge types difficult.Further research on the cost-effectiveness of nudges and generalizability is needed to guide decision makers considering nudging as a tool to guide prescribing decisions.

Effect of Tryptophan Restriction in the Therapy of Irritable Bowel Syndrome: a Systematic Review.

The metabolic pathways of tryptophan (TRP) have been implicated in the pathophysiology of irritable bowel syndrome (IBS), positing that the strategic modulation of TRP consumption may exert regulatory effects on serotonin levels, consequently altering the clinical manifestation of IBS. This systematic review was meticulously orchestrated to evaluate the effect of TRP restriction on IBS. A comprehensive search of the MEDLINE/PubMed, Cochrane Library, and Embase databases was conducted. Controlled trials that compared the efficacy of TRP restriction in IBS patients were scrutinized. The primary outcomes were gastrointestinal symptoms, quality of life, and pain, whereas the secondary outcomes included anxiety, mood, and safety. The risk of bias was meticulously assessed according to the guidelines recommended by the Cochrane Collaboration. A total of five trials, enrolling 135 participants, were incorporated into the qualitative synthesis. Low-TRP intake attenuated gastrointestinal discomfort and enhanced psychological well-being in IBS patients, while the effects of acute TRP depletion were controversial. Safety data from one randomized controlled trial reported no occurrence of adverse events. This systematic review suggests that moderating, rather than depleting, TRP intake may potentially be a feasible and safe adjunctive treatment for patients with IBS. Future research incorporating a high-quality study design and consensus on clinical outcome measurements for IBS is warranted.