Children's ability to estimate approaching vehicle time-to-arrival following training in a virtual pedestrian environment.

OBJECTIVES: Child pedestrian injuries represent a significant public health challenge. Understanding the most complex cognitive skills required to cross streets helps us understand, improve, and protect children in traffic, as underdeveloped cognitive skill likely impacts children's pedestrian safety. One complex component of street-crossing is the cognitive-perceptual task of judging time-to-arrival of oncoming traffic. We examined capacity of 7- and 8-year-olds to judge time-to-arrival for vehicles approaching from varying distances and speeds, as well as improvement in those judgments following intensive street-crossing training in a virtual reality (VR) pedestrian simulator. METHODS: 500 seven- and eight-year-olds participated in a randomized trial evaluating use of a large kiosk VR versus smartphone-based VR headset to teach street-crossing skills. Prior to randomization into VR training condition and also prior to initiation of any training, children engaged in a video-based vehicle approach estimation task to assess ability to judge traffic time-to-arrival. They then engaged in multiple VR-based pedestrian safety training sessions in their randomly assigned condition until achieving adult functioning. Soon after training and again 6 months later, children repeated the vehicle estimation task. RESULTS: Prior to randomization or training, children were more accurate judging time to arrival for closer versus farther traffic, and rapidly-moving versus slower-moving traffic, but those results were subsumed by a speed x distance interaction. The interaction suggested distance cues were used more prominently than speed cues, and speed had varying effects at different distances. Training group had minimal effect on learning and all children became significantly better at judging vehicle arrival times following training. CONCLUSIONS: Children tend to underestimate vehicle arrival times. Distance cues are more impactful on time-to-arrival judgments than speed cues, but children's estimations based both on manipulations of vehicle speed and manipulations of vehicle distance improved post-training. Improvements were retained six months later. This finding is consistent with psychophysics research suggesting vehicle approach judgments rely on optical size and looming, which are impacted both by vehicle speeds and distances. Implementation of VR-based training for child pedestrian safety is recommended, as it may improve children's judgment of vehicle time-to-arrival, but it must be conducted cautiously to avoid iatrogenic effects.

Comparing virtual reality vs. augmented reality in promoting COVID-19 self-testing, vaccination, and preventive behaviors.

Objective: Virtual Reality (VR) and Augmented Reality (AR) are innovative technologies that can serve as effective tools for creating health interventions by altering psychological distance. Based on construal level theory and the reality-virtuality continuum, we designed, tested, and compared VR and AR campaigns to encourage proactive measures against COVID-19. Methods: 143 participants were randomly assigned to one of three messages: VR, AR, and a CDC video, and completed surveys before, immediately, and one week following message exposure. Results: VR and AR increased preventive intentions and behaviors against COVID-19 both in the short and long run. VR was particularly effective as it also increased risk perceptions, more preventive intentions in the short term, and more preventive behaviors, including social distancing and mask wearing, in the long term. VR was more efficient than AR in enhancing risk perceptions and preventive intentions right after being exposed to the messages as well as promoting behaviors such as avoiding crowds, maintaining social distance from others, and wearing a mask in indoor public areas one week later. Moreover, among the three conditions, VR was the only intervention that generated actual behavior change after one week, which indicated potential long-term advantages of VR compared to other mediums. VR decreased social, spatial, and hypothetical distances to a greater degree than AR. VR was more effective than video. However, AR was not more persuasive than video. Conclusions: Insights gained from the findings extend beyond the pandemic phase, offering practical applications for employing VR and AR technologies in health campaigns.

Changes in Eyelid Height Based on Intra-Operative Quantification of Levator Aponeurosis Advancement in Patients with Unilateral Ptosis.

OBJECTIVE: To present marginal reflex distance (MRD-1) outcomes based on intra-operative quantification of levator aponeurosis advancement. METHODS: Forty-eight patients with unilateral aponeurotic ptosis underwent anterior levator aponeurosis advancement. Distance of advancement intra-operatively was compared with MRD-1 outcomes at the immediate postoperative sitting, approximately 1 week, and 1 month period. Surgical success was defined as a symmetric MRD-1 or an MRD-1 within 1 millimeter of the contralateral eyelid. RESULTS: Most MRD-1 exhibited the following trends: 1) initial decrease at about 1 week and increase at 1 month (n = 11), 2) initial increase at about 1 week with levelling at 1 month (n = 8), and 3) increasing through time (n = 7). Success rate significantly decreased through time (p = .0464). The change in proportion of successful and failed surgeries was insignificant. Surgical revision rate was 10.4%. CONCLUSION: Levator aponeurosis advancement distances do not correlate with MRD-1 outcomes linearly. MRD-1 exhibited stability over time with a satisfactory success rate at 1 month.

Shedding Light on Iron Nutrition: Exploring Intersections of transcription factor cascades in light and iron deficiency signaling.

In the dynamic environment of plants, the interplay between light-dependent growth and iron nutrition is a recurring challenge. Plants respond to low iron levels by adjusting growth and physiology through enhanced iron acquisition from the rhizosphere and internal iron pool reallocation. Iron deficiency response assays and gene co-expression networks aid in documenting physiological reactions and unraveling gene regulatory cascades, offering insight into the interplay between hormonal and external signaling pathways. However, research directly exploring the significance of light in iron nutrition remains limited. This review provides an overview on iron deficiency regulation and its cross-connection with distinct light signals, focusing on transcription factor cascades and long-distance signaling. The circadian clock and retrograde signaling influence iron uptake and allocation. The light-activated shoot-to-root mobile transcription factor ELONGATED HYPOCOTYL5 (HY5) affects iron homeostasis responses in roots. Blue light triggers the formation of biomolecular condensates containing iron deficiency-induced protein complexes. The potential of exploiting the connection between light and iron signaling remains underutilized. With climate change and soil alkalinity on the rise, there is a need to develop crops with improved nutrient use efficiency and modified light dependencies. More research is needed to understand and leverage the interplay between light signaling and iron nutrition.

Strong Gravitational Lensing and Microlensing of Supernovae.

Strong gravitational lensing and microlensing of supernovae (SNe) are emerging as a new probe of cosmology and astrophysics in recent years. We provide an overview of this nascent research field, starting with a summary of the first discoveries of strongly lensed SNe. We describe the use of the time delays between multiple SN images as a way to measure cosmological distances and thus constrain cosmological parameters, particularly the Hubble constant, whose value is currently under heated debates. New methods for measuring the time delays in lensed SNe have been developed, and the sample of lensed SNe from the upcoming Rubin Observatory Legacy Survey of Space and Time (LSST) is expected to provide competitive cosmological constraints. Lensed SNe are also powerful astrophysical probes. We review the usage of lensed SNe to constrain SN progenitors, acquire high-z SN spectra through lensing magnifications, infer SN sizes via microlensing, and measure properties of dust in galaxies. The current challenge in the field is the rarity and difficulty in finding lensed SNe. We describe various methods and ongoing efforts to find these spectacular explosions, forecast the properties of the expected sample of lensed SNe from upcoming surveys particularly the LSST, and summarize the observational follow-up requirements to enable the various scientific studies. We anticipate the upcoming years to be exciting with a boom in lensed SN discoveries.

The physical demands of the match according to playing positions in a South African Premier Soccer League team.

Background: Evidence indicates that international soccer players cover a total distance of between eight and 14 km in a match. Approximately 80 - 90% of this distance constitutes low-intensity actions, and about 10 - 20% is high-intensity. These data are influenced by playing position, formation, league standard, and national differences in different countries. Objective: To quantify the physical demands of competitive matches on the different playing positions in a South African Premier Soccer League team. Methods: A descriptive study design included 21 players on the same team. Data were collected over 23 official matches during the 2019/2020 season using PlayerTek GPS devices (10Hz). The data collected included total distance covered, high-intensity running distance, power plays, top-end speed, and distance per minute. Results: Statistical differences were evident only in the high-intensity running distance and power plays. The centre-forwards (p<0.001), attacking central midfielders (p=0.006), and full-backs (p=0.01) covered the most high-intensity running distance (p<0.001) than centre-backs. The attacking central midfielders and centre-forwards recorded more power plays than the centre-backs. Total distance (p=0.01), power plays (p=0.004) and distance per minute (p=0.001) were lower in the second half than in the first half of the match. Conclusion: Centre-forwards performed more high-intensity actions, whereas the centre-backs sprinted less than all the other positions. These data provide insight into the positional differences that exist and could help coaches to prescribe position-specific training programmes.

Influence of cultural values and hierarchical social norms on buying counterfeits online: a 17-country study.

Introduction: As a globally prevalent phenomenon, buying counterfeit products harms consumers, economies, societies, governments, and the environment. The study examined the hierarchy of injunctive normative influence (personal vs. societal) on counterfeit purchase intentions and trends in non-deceptive (known) counterfeit purchase behavior. The current research expands the hierarchical norms approach by examining how the cultural values of power distance and individualism-collectivism predict injunctive normative perceptions and counterfeit buying intention and behavior. Methods: A cross-sectional survey (N = 13,053) of consumers from 17 nations, administered in seven languages, explored cross-country differences in perceived social norms about buying counterfeits. Results: The findings of multilevel moderated mediation analyses showed that personal injunctive norms (perceived acceptance of buying counterfeits by close friends) mediated the relationship between societal injunctive norms (perceived acceptance for buying counterfeits by peers in the same country) and the outcome variables. Selected paths of the mediation model were moderated by the two cultural dimensions. Discussion: Theoretical implications are discussed within the context of cultural orientations' and social norms' roles in informing risky behavior, and practically, within the context of awareness-raising and behavior-change interventions.

Steering the Site Distance of Atomic Cu-Cu Pairs by First-Shell Halogen Coordination Boosts CO2-to-C2 Selectivity.

Electrocatalytic reduction of CO2 into C2 products of high economic value provides a promising strategy to realize resourceful CO2 utilization. Rational design and construct dual sites to realize the CO protonation and C-C coupling to unravel their structure-performance correlation is of great significance in catalysing electrochemical CO2 reduction reactions. Herein, Cu-Cu dual sites with different site distance coordinated by halogen at the first-shell are constructed and shows a higher intramolecular electron redispersion and coordination symmetry configurations. The long-range Cu-Cu (Cu-I-Cu) dual sites show an enhanced Faraday efficiency of C2 products, up to 74.1%, and excellent stability. In addition, the linear relationships that the long-range Cu-Cu dual site is accelerated to C2H4 generation and short-range Cu-Cu (Cu-Cl-Cu) dual site is beneficial for C2H5OH formation are disclosed. In situ electrochemical attenuated total reflection surface enhanced infrared absorption spectroscopy, in situ Raman and theoretical calculations manifest that long-range Cu-Cu dual sites can weaken reaction energy barriers of CO hydrogenation and C-C coupling, as well as accelerating deoxygenation of *CH2CHO. This study uncovers the exploitation of site-distance-dependent electrochemical property to steer the CO2 reduction pathway, as well as a potential generic tactic to target C2 synthesis by constructing the desired Cu-Cu dual sites.

A New Paradigm for High-dimensional Data: Distance-Based Semiparametric Feature Aggregation Framework via Between-Subject Attributes.

This article proposes a distance-based framework incentivized by the paradigm shift towards feature aggregation for high-dimensional data, which does not rely on the sparse-feature assumption or the permutation-based inference. Focusing on distance-based outcomes that preserve information without truncating any features, a class of semiparametric regression has been developed, which encapsulates multiple sources of high-dimensional variables using pairwise outcomes of between-subject attributes. Further, we propose a strategy to address the interlocking correlations among pairs via the U-statistics-based estimating equations (UGEE), which correspond to their unique efficient influence function (EIF). Hence, the resulting semiparametric estimators are robust to distributional misspecification while enjoying root-n consistency and asymptotic optimality to facilitate inference. In essence, the proposed approach not only circumvents information loss due to feature selection but also improves the model's interpretability and computational feasibility. Simulation studies and applications to the human microbiome and wearables data are provided, where the feature dimensions are tens of thousands.

A Quarter-Century of Online Informatics Education: Learners Served and Lessons Learned.

The value and methods of online learning have changed tremendously over the last 25 years. The goal of this paper is to review a quarter-century of experience with online learning by the author in the field of biomedical and health informatics, describing the learners served and the lessons learned. The author details the history of the decision to pursue online education in informatics, describing the approaches taken as educational technology evolved over time. A large number of learners have been served, and the online learning approach has been well-received, with many lessons learned to optimize the educational experience. Online education in biomedical and health informatics has provided a scalable and exemplary approach to learning in this field.

Pulmonary Rehabilitation Once a Week for One Year in a Patient With Chronic Obstructive Pulmonary Disease.

Pulmonary rehabilitation (PR) has been shown to alleviate dyspnea, increase exercise capacity, and improve quality of life in patients with chronic obstructive pulmonary disease (COPD). However, such PR programs have focused on short-term effects. Thus, this study aimed to report our experience with a COPD patient who underwent PR once a week for one year. An 84-year-old male with stage II COPD, which was classified by the Global Initiative for Obstructive Lung Disease, presented symptoms of dyspnea while walking. The patient underwent PR once a week for one year, which included exercise training, self-management support, instructions on breathing during exertion, and respiratory muscle stretching. Before and after PR, we assessed the patient's physical function, dyspnea, and quality of life. For one year, no adverse events were recorded. We observed that the patient's physical function, dyspnea, and quality of life improved over time. In particular, his six-minute walking distance (6MWD) reached the minimal clinically important difference at three months and the predictive value of 6MWD for healthy adults at six months. The present case showed that a PR program conducted once a week for one year might be feasible and effective.

Spatiotemporal variation of microplastics along the long-distance raw water pipeline.

Raw water pipelines are considered a significant pathway for human exposure to microplastics (MPs, <5 mm) in surface water. However, there is currently very limited information on the longitudinal distribution characteristics of microplastics in raw water pipelines. This study assessed the abundance and distribution characteristics of microplastics in surface water from two different water sources in Jiangsu Province during different seasons. The correlation between conventional water quality indicators and microplastics was also explored. Specifically, the longitudinal variation of microplastics in raw water pipelines was investigated. Results showed that microplastics were detected in both basins during different seasons. In Basin 1, the abundance of MPs ranged from 34 ±â€¯1 to 58 ±â€¯2 n/L in March and from 3 ±â€¯1 to 6.7 ±â€¯4 n/L in June. In Basin 2, the abundance ranged from 6.5 ±â€¯1 to 14 ±â€¯1 n/L in March and from 2 ±â€¯1 to 7.7 ±â€¯1 n/L in June. The abundance of microplastics showed a decreasing trend along the pipeline. Polymethyl methacrylate (PMMA) was the main polymer type detected in both basins. Polyethylene terephthalate (PE) and polyurethane (PU) showed higher removal rates in the pipeline due to their higher density. The predominant size ranges of microplastics in the raw water were 10-50 µm and 50-100 µm. Additionally, the average particle size of MPs increased with the transportation distance, likely due to microbial colonization. This study is the first comprehensive investigation of the distribution characteristics of microplastics in raw water pipeline systems. The removal of microplastics in raw water pipelines contributes significantly to the elimination of microplastics at the source. This research helps to fill the knowledge gap regarding the fate of microplastics in raw water pipeline systems.

Professional long distance runners achieve high efficiency at the cost of weak orbital stability.

Successful performance in long distance race requires both high efficiency and stability. Previous research has demonstrated the high running efficiency of trained runners, but no prior study quantitatively addressed their orbital stability. In this study, we evaluated the efficiency and orbital stability of 8 professional long-distance runners and compared them with those of 8 novices. We calculated the cost of transport and normalized mechanical energy to assess physiological and mechanical running efficiency, respectively. We quantified orbital stability using Floquet Multipliers, which assess how fast a system converges to a limit cycle under perturbations. Our results show that professional runners run with significantly higher physiological and mechanical efficiency but with weaker orbital stability compared to novices. This finding is consistent with the inevitable trade-off between efficiency and stability; increase in orbital stability necessitates increase in energy dissipation. We suggest that professional runners have developed the ability to exploit inertia beneficially, enabling them to achieve higher efficiency partly at the cost of sacrificing orbital stability.

The ultrametric backbone is the union of all minimum spanning forests.

Minimum spanning trees and forests are powerful sparsification techniques that remove cycles from weighted graphs to minimize total edge weight while preserving node reachability, with applications in computer science, network science, and graph theory. Despite their utility and ubiquity, they have several limitations, including that they are only defined for undirected networks, they significantly alter dynamics on networks, and they do not generally preserve important network features such as shortest distances, shortest path distribution, and community structure. In contrast, distance backbones, which are subgraphs formed by all edges that obey a generalized triangle inequality, are well defined in directed and undirected graphs and preserve those and other important network features. The backbone of a graph is defined with respect to a specified path-length operator that aggregates weights along a path to define its length, thereby associating a cost to indirect connections. The backbone is the union of all shortest paths between each pair of nodes according to the specified operator. One such operator, the max function, computes the length of a path as the largest weight of the edges that compose it (a weakest link criterion). It is the only operator that yields an algebraic structure for computing shortest paths that is consistent with De Morgan's laws. Applying this operator yields the ultrametric backbone of a graph in that (semi-triangular) edges whose weights are larger than the length of an indirect path connecting the same nodes (i.e. those that break the generalized triangle inequality based on max as a path-length operator) are removed. We show that the ultrametric backbone is the union of minimum spanning forests in undirected graphs and provides a new generalization of minimum spanning trees to directed graphs that, unlike minimum equivalent graphs and minimum spanning arborescences, preserves all max - min shortest paths and De Morgan's law consistency.

Effects and optimization of hydrolysis conditions on the diameter distance ratio for metatitanic acid.

Controlling and predicting the narrow particle size distribution of metatitanic acid could help to improve pigment and application performances of TiO2. To prepare metatitanic acid with narrow particle size distribution, the hydrolysis conditions of industrial TiOSO4 solution were optimized by using the response surface methodology of Box-Behnken design method. The effects of hydrolysis conditions such as TiO2 concentration, aging time and hydrolysis time on the diameter distance ratio and structure of metatitanic acid were investigated. The prediction model including the hydrolysis variables with good fitting result was established to predict the diameter distance ratio or optimize the hydrolysis variable values. The regression equation model was significant and reliable with actual correlation coefficient R2 of 0.9989. The hydrolysis conditions greatly influenced the quality and quantity of hydrolysis induced crystal nucleus, hydrolysis rate, completeness degree of hydrolysis, crystallization growth and aggregation rate, and eventually affected the particle size distribution of metatitanic acid. The synergistic interaction for TiO2 concentration and hydrolysis time was very significant. The verification experiments confirmed that the diameter distance ratio could reach the average value of 1.100 under the optimal conditions. The prepared metatitanic acid had anatase TiO2 phase structure, with average particle size of 1.621-1.819 µm. And this helped to improve the high quality and green development of the titanium dioxide industry.

Conductive single-phase SrMoO3 epitaxial films synthesized in pure Ar ambience via plasma-assisted radio frequency sputtering.

The cubic perovskite SrMoO3 with a paramagnetic ground state and remarkably low room-temperature resistivity has been considered as a suitable candidate for the new-era oxide-based technology. However, the difficulty of preparing single-phase SrMoO3 thin films by hydrogen-free sputtering has hindered their practical use, especially due to the formation of thermodynamically favorable SrMoO4 impurity. In this work, we developed a radio frequency sputtering technology enabling the reduction reaction and achieved conductive epitaxial SrMoO3 films with pure phase from a SrMoO4 target in a hydrogen-free, pure argon environment. We demonstrated the significance of controlling the target-to-substrate distance (TSD) on the synthesis of SrMoO3; the film resistivity drastically changes from 1.46 × 105 µΩ·cm to 250 µΩ·cm by adjusting the TSD. Cross-sectional microstructural analyses demonstrated that films with the lowest resistivity, deposited for TSD = 2.5 cm, possess a single-phase SrMoO3 with an epitaxial perovskite structure. The formation mechanism of the conductive single-phase SrMoO3 films can be attributed to the plasma-assisted growth process by tuning the TSD. Temperature-dependent resistivity and Hall effect studies revealed metal-like conducting properties for low-resistive SrMoO3 films, while the high-resistive ones displayed semiconductor-like behavior. Our approach makes hydrogen-free, reliable and cost-efficient scalable deposition of SrMoO3 films possible, which may open up promising prospects for a wide range of future applications of oxide materials.

For the first time, we developed a plasma-assisted RF sputtering technology enabling the reduction reaction for the synthesis of single-phase conductive SrMoO₃ epitaxial films from insulating SrMoO₄ in pure-argon atmosphere.

Capillarity-powered and CRISPR/Cas12a-responsive DNA hydrogel distance sensor for highly sensitive visual detection of HPV DNA.

The rapid and specific identification and sensitive detection of human papillomavirus (HPV) infection is critical for preventing cervical cancer, particularly in resource-limited regions. In this work, we hope to propose a capillarity-powered and CRISPR/Cas12a-responsive DNA hydrogel distance sensor for point-of-care (POC) DNA testing. Using the thermal reversibility of DNA hydrogel and capillarity, the novel DNA hydrogel distance sensor can be rapidly and simply constructed by loading an ultra-thin CRISPR/Cas12a-responsive DNA-crosslinked hydrogel film at the end of the capillary tube. The target DNA-specific recombinase polymerase reaction (RPA) amplicons activate the trans-cleavage activity of the Cas12a enzyme, cleaving the crosslinked DNA in hydrogel film, and causing an increase of hydrogel's permeability. As a result, a sample solution containing target DNA travels into the capillary tube at a longer distance compared to the negative samples. Reading the solution traveling distance in capillary tubes, the novel sensor realizes target DNA detection without any special equipment. Benefiting from the exponential target amplification of RPA and multiple turnover response of trans-cleavage of CRISPR/Cas12a, the developed sensor can visually and specifically detect as low as 1 aM HPV 16 DNA within 30 min. These outstanding features, including exceptional sensitivity and specificity, simple and portable design, mild measurement conditions, quick turnaround time, and user-friendly read-out, make the novel distance sensor a promising option for POC diagnostic applications.

Innovation Efficiency, Productive Performance and Undesirable Outputs across European Regions: Are there any missing links?

We introduce an analytical methodological framework that links knowledge generation efficiency with economic efficiency and the corresponding environmental impact for 199 European Regions during 2000-2018, using a benchmarking approach and especially a chain network DEA technique. A clear trade-off between knowledge generation efficiency and productive performance emerges. European regions which exhibit high innovation efficiency enjoy higher overall performance compared to their counterparts. In a second stage, we investigate the convergence patterns of the examined regions with respect to all the three facets of the estimated efficiency where the coexistence of multi-type convergence clubs is revealed.

The impact of body image on social cognition: Fear of negative evaluation mediates the relationship between body surveillance and interpersonal distance in women.

Interpersonal distance (IPD) refers to the distance naturally maintained during social interactions, while peripersonal space (PPS) refers to the immediate space surrounding the body, or the space within reaching distance. Previous research has preliminarily indicated that IPD is associated with body image disturbances. We sought to expand extant literature by exploring associations between aspects of positive and negative body image, IPD, and PPS. Seventy-five women from the United Kingdom aged 18-40 years completed measures of body appreciation, body image flexibility, body shame, body surveillance, and body dissatisfaction. IPD boundaries were estimated using a lab-based comfort-distance task, whereas PPS boundaries were estimated using an audio-tactile reaction-time task. Measures of body acceptance by others and fear of negative evaluation were completed as potential mediators. Overall, we identified positive associations between IPD, body surveillance, and fear of negative evaluation, with no statistically significant associations identified between the other indices. The association between active IPD and body surveillance was mediated by fear of negative evaluation, even after controlling for demographic factors. These findings suggest a nuanced relationship between IPD and body image-related factors, highlighting the role of social evaluation anxiety. Future investigations should use experimental designs to further understand these relationships and their implications.

New insights into biologic interpretation of bioinformatic pipelines for fish eDNA metabarcoding: A case study in Pearl River estuary.

Environmental DNA (eDNA) metabarcoding is an emerging tool for monitoring biological communities in aquatic ecosystems. The selection of bioinformatic pipelines significantly impacts the results of biodiversity assessments. However, there is currently no consensus on the appropriate bioinformatic pipelines for fish community analysis in eDNA metabarcoding. In this study, we compared three bioinformatic pipelines (Uparse, DADA2, and UNOISE3) using real and mock (constructed with 15/30 known fish) communities to investigate the differences in biological interpretation during the data analysis process in eDNA metabarcoding. Performance evaluation and diversity analyses revealed that the choice of bioinformatic pipeline could impact the biological results of metabarcoding experiments. Among the three pipelines, the operational taxonomic units (OTU)-based pipeline (Uparse) showed the best performance (sensitivity: 0.6250 ± 0.0166; compositional similarity: 0.4000 ± 0.0571), the highest richness (25-102) and minimal inter-group differences in alpha diversity. It suggested the OTU-based pipeline possessed superior capability in fish diversity monitoring compared to ASV/ZOTU-based pipeline. Additionally, the Bray-Curtis distance matrix achieved the highest discriminative effect in the PCoA (43.3%-53.89%) and inter-group analysis (P < 0.01), indicating it was better at distinguishing compositional differences or specific genera of fish community at different sampling sites than other distance matrices. These findings provide new insights into fish community monitoring through eDNA metabarcoding in estuarine environments.