High Level Of Confidence Research Articles

An exploration of the Return to Practice experience of nursing students: An evaluative mixed methods research study

AimThis study was conducted to explore the experiences of nursing students on a Return to Practice course; including their confidence levels and intention to remain on the nursing register. BackgroundNurses and midwives whose registration with the NMC (Nursing & Midwifery Council) has lapsed may choose to undertake a Return to Practice course. This course enables those who have left the profession to update their skills and knowledge and to re-join the register. Currently, little information exists concerning the experience of returners as they prepare to re-enter the nursing workforce. DesignExploring the confidence levels and preparedness of Return to Practice nursing students and measuring the effectiveness of a Return to Practice course using an online questionnaire. MethodsMixed methods research design was used to address the evaluative research questions. An anonymous questionnaire was administered online to collect quantitative and qualitative data reflecting the experiences of the Return to Practice nursing students. ResultsReturn to Practice nursing students feel well prepared by their Return to Practice course and report a high level of confidence in returning to the clinical workforce. ConclusionsDespite their concerns around aspects of nursing, such as the highly pressured working environment, most Return to Practice students intend to continue as a nurse for the remainder of their careers and should therefore be supported with this route into the nursing profession.

The Influence of Thoracic Ultrasound on the Clinical Practice of Pulmonologists in Portugal.

Thoracic ultrasound (TUS) has garnered increased recognition, both in aiding pleural procedures and as a complement to physical examination. Operator ability is essential to obtain reliable findings. This study aimed to inquire pulmonology specialists and residents about their confidence with the technique and to determine future needs. A self-administered online survey, including a total of 24 questions, was sent to pulmonology specialists and residents registered as members of the Portuguese Pulmonology Society. Participation was pseudoanonymized and voluntary. One hundred fourteen valid answers were obtained. Most responders had prior TUS training. The primary method for knowledge consolidation was unsupervised practice. The majority had an ultrasound machine available in their daily practice; only 17% performed TUS more than 3 times per week. Overall confidence in TUS usage for diagnostic purposes (median: 7/10), disease monitoring (median: 7/10), and invasive procedures (median: 8/10) were high. There was a significant relation between higher levels of confidence and regularly attending TUS courses and performing TUS more than 3 times per week. The main reasons cited as preventing regular use of TUS were the availability/cost of courses and the availability/cost of equipment. Regular TUS training and utilization are essential to boost user's confidence degree. Its use is already a regular feature in the daily practice of pulmonologists in Portugal, but further and better structured training is required to meet the needs of clinicians. The inclusion of mandatory TUS training in residency programs should be considered in the future.

Looking for Actives in the Haystack: Merging HRMS2-Based Molecular Networking, Chemometrics, and 13C NMR-Based Dereplication Approaches.

The identification of bioactive natural products (NPs) in complex mixtures has become an important subject of contemporary NP research. In an attempt to address this challenge, the present work proposes an integrated strategy that combines tandem mass spectrometry (MS2)-based molecular networking (MN), a partial least-squares (PLS) chemometric model, as well as 13C NMR-based dereplication using MixONat software. In addition, an advanced glycation end product (AGEs) assay was used for activity evaluation. The approach was implemented on a Garcinia parvifolia bark extract that comprised a high content of prenylated xanthones and had previously shown a notable inhibitory effect on AGE formation. As a main result, the proposed strategy permitted the identification of potentially active metabolites within complex mixtures and their annotation with a higher level of confidence by NMR data. Overall, this comprehensive approach provides a powerful and efficient solution for the targeting and annotating of active compounds in complex NP mixtures.

Untargeted Metabolomic Biomarker Discovery for the Detection of Ectopic Pregnancy.

Ectopic pregnancy (EP) is the leading cause of maternal morbidity and mortality in the first trimester. Using an untargeted metabolomic approach, we sought to identify putative plasma biomarkers using tandem liquid chromatography-mass spectrometry for the detection of tubal EP. This case-control study included the prospective recruitment of 50 tubal EP cases and 50 early intrauterine pregnancy controls. To avoid over-fitting, logistic regression models were developed in a randomly selected discovery group (30 cases vs. 30 controls) and validated in the test group (20 cases vs. 20 controls). In total, 585 mass spectral features were detected, of which 221 molecular features were significantly altered in EP plasma (p < 0.05). Molecular networking and metabolite identification was employed using the Global Natural Products Social Molecular Networking (GNPS) database, which identified 97 metabolites at a high confidence level. Top significant metabolites include subclasses of sphingolipids, carnitines, glycerophosphocholines, and tryptophan metabolism. The top regression model, consisting of D-erythro-sphingosine and oleoyl-carnitine, was validated in a test group and achieved an area under receiving operating curve (AUC) (95% CI) = 0.962 (0.910-1) with a sensitivity of 100% and specificity of 95.9%. Metabolite alterations indicate alterations related to inflammation and abnormal placentation in EP. The validation of these metabolite biomarkers in the future could potentially result in improved early diagnosis.

Developing and implementing an Einsteinian science curriculum from years 3–10: B. Teacher upskilling: response to training and teacher’s classroom experience

Abstract Recent years have seen a growing interest in modernizing school science curricula to reflect the discoveries in physics since 1900, especially with the recent broad recognition of the importance of quantum physics in the modern world. Much effort has been expended in the development of appropriate teaching instruments for teaching Einsteinian physics in schools, but less effort on the crucial topic of teacher professional development. Successful curriculum innovation requires teacher professional development. This paper reports an analysis of teacher professional development for practising primary and secondary teachers who were upskilled as part of a process for implementing an 8-year Einsteinian curriculum across 38 primary and secondary schools in Australia. Most participants had little prior knowledge of Einsteinian physics. Using self-assessment through questionnaires and interviews, combined with classroom validation, we show that three different professional development programs led to high levels of content knowledge and confidence to teach Einsteinian physics in classes from Year 3 to Year 10. The analysis presented supports our conclusion that it is feasible to upskill teachers from diverse backgrounds in Einsteinian physics and break the cycle that has inhibited the modernisation of school curricula.

Приоритетный рост заработной платы как фактор повышения производительности труда

Based on Rosstat data, the trends and factors determining labor productivity in modern Russia are assessed. It is shown that the main trend in the development of the Russian economy is a decrease in the growth rate of labor productivity. It is shown that the influence of wages and accumulated fixed capital on labor productivity is equivalent. At the same time, with a high level of confidence, labor productivity is determined by the amount of wages, and the advance of wage growth in relation to productivity growth largely determines the growth of labor productivity.

Interrater agreement and variability in visual reading of [18F] flutemetamol PET images.

The purpose of this study was to validate the concordance of visual ratings of [18F] flutemetamol amyloid positron emission tomography (PET) images and to investigate the correlation between the agreement of each rater and the Centiloid (CL) scale. A total of 192 participants, clinically classified as cognitively normal (CN) (n = 59), mild cognitive impairment (MCI) (n = 65), Alzheimer's disease (AD) (n = 55), or non-AD dementia (n = 13), participated in this study. Three experts conducted visual ratings of the amyloid PET images for all 192 patients, assigning a confidence level to each rating on a three-point scale (certain, probable, or neither). The positive or negative determination of amyloid PET results was made by majority vote. The CL value was calculated using the CapAIBL pipeline. Overall, 101 images were determined to be positive, and 91 images were negative. Of the 101 positive images, the three raters were in complete agreement for 92 images and in disagreement for 9 images. Of the 91 negative images, the three raters were in complete agreement for 75 images and in disagreement for 16 images. Interrater reliability among the three experts was particularly high, with both Fleiss' kappa and Conger's kappa measuring 0.83 (0.76-0.89). The CL values of the unanimous positive group were significantly greater than those of the other groups, whereas the CL values of the unanimous negative group were significantly lower than those of the other groups. Images with rater disagreement had intermediate CLs. In cases with a high confidence level, the positive or negative visual ratings were in almost complete agreement. However, as confidence levels decreased, experts' visual ratings became more variable. The lower the confidence level was, the greater the number of cases with disagreement in the visual ratings. Three experts independently rated 192 amyloid PET images, achieving a high level of interrater agreement. However, in patients with intermediate amyloid accumulation, visual ratings varied. Therefore, determining positive and negative decisions in these patients should be performed with caution.

Proposing the Model to Accelerate SMEs to Apply Green Economy Practices Through the Utilization of Social Crowdfunding

Following Indonesia's commitment to promoting the achievement sustainable consumption and production practices (RCP- SDGs Number 12), a plan must be put in place to motivate important players (SMEs) to support the green economy. The limitations of SMEs in terms of funding to be able to implement green economic practices are accommodated through access to financial technology, namely social crowdfunding. To gain insight into how SMEs implement green economic practices by utilizing social crowdfunding, a survey was conducted on 75 SMEs use descriptive research design. The results of the descriptive analysis found that some SMEs have not been able to take advantage of social crowdfunding due to several reasons: not being able to access the right website, having requirements that are difficult to fulfill and their technology skills are not yet good. An interesting insight that was extracted from the results of this survey is the high level of confidence among SMEs that implementing green economic practices using social crowdfunding can improve business performance and are confident that they can overcome all difficulties. The proposed conceptual model can apparently be supported by research results which produce the proposition namely:" willingness to participate in implementing green economic practices using social crowdfunding needs to be driven by creating strong awareness and interest by triggering 3 important determinants, namely stakeholder management, community engagement and entrepreneurship strategy”. In the future, this conceptual modeling can be used to conduct quantitative research so that it can explore the facts in the field in a comprehensive manner.

The implementation and evaluation of a mock trial using a flipped classroom pedagogy in practical nursing education.

Background: This quality improvement study explores the implementation and evaluation of a mock trial within a flipped classroom pedagogy to help first-year practical nursing learners meet the class objectives. Methods: Sixty-two (N=62) practical nursing learners participated in a mock trial as part of their first year Nursing Arts course at Bow Valley College in July 2022. The mock trial was evaluated using qualitative and quantitative data collection. Results: The thematic analysis suggested that a mock trial using a flipped classroom pedagogy may be an effective way of teaching course objectives. The learners reported a moderate to high level of confidence in managing challenging situations after participating in the mock trial. Conclusions: The study highlights the potential benefits of incorporating a mock trial using a flipped classroom pedagogy in practical nursing education.

Cognitive assessment of nursing home residents: Survey data on tools used and perceptions of use among social service professionals in one U.S. state.

Background: Social service professionals routinely use screening tools to assess for cognitive decline or identify suspected dementia in nursing home residents. Published literature lacks details about the specific tools used and how professionals use and perceive them in practice. The aim of this study is to better understand cognitive screening roles performed by nursing home social service professionals and how they view their use and efficacy.Methods: An online survey was administered to all 230 nursing homes in the US state of Alabama between October 2021 and March 2022. Fifty-three social service professionals who conduct resident cognitive screenings responded to the survey.Results: In addition to completing the US-mandated Brief Interview of Mental Status (BIMS) quarterly, 75% of participants reported using additional tools, most notably the Mini Mental Status Examination (MMSE). Participants reported using different tools for varied purposes. Those who used both the BIMS and MMSE rated the BIMS significantly higher on ease and time to administer while rating the MMSE higher on reliability and validity. Although most participants reported high levels of confidence using the tools, over half of participants indicated interest in further training in cognitive assessment tools.Discussion: Findings provide evidence regarding who administers nursing home cognitive screenings, which tools are used, and their experiences using those tools. Participant responses reveal the value of using multiple screening tools for improved detection of cognitive status and decline for residents as well as a need for additional training in cognitive assessment. Findings also suggest that the primary tool used for cognitive screening may be quick and easy to use at the expense of perceived reliability and validity. Further evaluation of nursing home cognitive assessment is needed.

Effects of acupuncture on shoulder impingement syndrome: A systematic review and meta-analysis.

Shoulder impingement syndrome (SIS) is a common condition that causes chronic shoulder pain. The effectiveness of acupuncture in treating chronic shoulder pain has been documented in previous studies; however, existing systematic reviews and meta-analyses have often excluded Chinese databases and combined different types of acupuncture interventions, such as electroacupuncture, warm acupuncture, pharmacopuncture, and acupotomy. Thus, this study specifically examines the exclusive impact of manual acupuncture on SIS. Several databases, including PubMed, Cochrane Central, Embase, 1 Chinese database (China National Knowledge Infrastructure), and 5 Korean databases (ScienceON, Oriental Medicine Advanced Searching Integrated System, KoreaMed, Korean Studies Information Service System, and KMBASE), were systematically searched for relevant studies. The quality of the included studies was evaluated using the Cochrane Assessment Tool for Risk of Bias Version 2. Data collected from the selected studies were synthesized for meta-analysis. The primary outcome was a pain scale score, and the secondary outcomes were shoulder function and disability. This study included 5 randomized controlled trials. The primary outcome assessment revealed significantly reduced pain (standardized mean difference [SMD] = -0.50, 95% confidence interval [CI] = -0.74 to -0.27) and improvements in shoulder function and disability (SMD = -0.57, 95% CI = -0.96 to -0.19). A subgroup analysis based on treatment duration indicated that short-term acupuncture treatment (≤4 weeks) exhibited a high level of confidence with low heterogeneity (SMD = -0.37, 95% CI = -0.73 to -0.02). Manual acupuncture is effective for relieving pain and improving shoulder function and disability in patients with SIS. However, further research is necessary to validate these findings owing to the limited number of patients and heterogeneity among the studies reviewed.

Online Supercritical Fluid Chromatography Hyphenated to Fourier Transform Ion Cyclotron Resonance Mass Spectrometry with Quadrupole Detection for Microalgae Bio-Oil Characterization.

Microalgae are an attractive feedstock for biofuel production thanks to their renewable nature, high growth rate, and ability to use anthropogenic CO2. The conversion of microalgae by hydrothermal liquefaction (HTL) leads to a solid residue, a gaseous phase, and a biocrude. However, the bio-oil is rich in heteroatoms and requires upgrading processes to be used as biofuels. For these treatments to be effective, detailed knowledge of the sample is crucial. The bio-oil was characterized by direct introduction into a Fourier transform ion cyclotron resonance mass spectrometer (DI-FTICR MS) with an electrospray ionization source (ESI). Thousands of molecular formulas were assigned with a high level of confidence, mainly compounds with nitrogen and oxygen atoms. Additionally, the bio-oil was analyzed by coupling supercritical fluid chromatography (SFC) and FTICR to combine the separation power of SFC to the high performances of a 12 T FTICR. Quadrupole detection (2ω) was used in FTICR to have a high resolving power with a lower transient time. The coupling allowed the separation of many isomers along the chromatogram, showing the isomeric complexity of microalgae bio-oils. Moreover, classes of compounds were separated according to their heteroatom class thanks to the SFC separation. In this work, the advantages of DI-FTICR MS and SFC-FTICR MS proved complementary, and DI was useful to study the bio-oil at the molecular scale thanks to the high performances, while SFC proved useful for the characterization at the isomeric scale. This demonstrated the significant potential of this new online hyphenated technique for the characterization of complex matrices.

Accuracy of stochastic finite element analyses for the safety assessment of unreinforced masonry shear walls

ABSTRACT To examine structural safety and reliability, an accurate prediction of the variability of structural resistance must first be determined. This may be achieved through extensive physical testing or, more commonly in modern research, synthetic data generation, such as stochastic finite element analyses (SFEAs). Due to the prevalence and versatility of such techniques, and the need for a high level of confidence when performing a safety assessment, an understanding of the accuracy of data derived from SFEAs is essential. In this paper, SFEA models have been developed to predict the responses of 16 unreinforced masonry walls tested in a laboratory under cyclic in-plane lateral loading. Each SFEA has been developed to reflect the as-built conditions of these experimental specimens and focus on predicting the shear capacity of the failure mechanisms that unreinforced masonry shear walls are susceptible to. From the results of these SFEAs, the accuracy (quantified as model error) of this modelling strategy has been estimated by comparing the peak in-plane shear resistances of the laboratory and numerical models.

Automatic target detection in vehicle images based on YOLOv10 deep learning algorithm

In this paper, we explore the effect of its application in vehicle image detection based on the latest YOLOv10 model.YOLOv10, as the latest version in the YOLO series, inherits and optimises the advantages of the previous generations of models, aiming to provide higher detection accuracy and faster inference speed. In our experiments, we firstly divided the dataset reasonably and trained the YOLOv10 model with data from the training set. By analysing the Precision-Recall curve, we found that the area below the PR curve is larger, which indicates that the AUC value of the model is close to 1, thus reflecting the superiority of the model in classification performance. In addition, from the F1-confidence curve, the model is still able to maintain good classification results at higher confidence levels and maintains high F1 scores in most confidence intervals, which further validates the reliability of the model. Test results show that the trained YOLOv10 model is able to accurately recognise vehicles and effectively predict vehicle types. This enables the model to monitor the vehicle conditions on the road in real time and achieve accurate detection and classification of road traffic targets. Therefore, this paper demonstrates the powerful ability of YOLOv10 in the field of vehicle detection, which provides an important reference for the development of future intelligent transport systems. Overall, this study not only verifies the effectiveness of YOLOv10 in practical applications, but also lays the foundation for further improvement of target detection technology.

Exploration of network facilitator experiences implementing payer-partner programs within a nationwide clinically integrated network

BackgroundThe Community Pharmacy Enhanced Services Network (CPESN) is a clinically integrated network (CIN) of approximately 3500 community-based pharmacies in 48 local networks across the United States. CPESN USA promotes expansion of innovative programs within community-based pharmacies including value-based contracting for patient care services. As opportunities grow, it is important to define strategies and tools needed to implement payer-partner programs. ObjectiveThis study aimed to explore strategies and resources used when implementing payer-partner programs within a CIN. MethodsThis cross-sectional electronic survey was e-mailed to 48 managing network facilitators (MNFs) representing 48 local CPESN networks across the United States. An electronic survey was e-mailed to the MNF of each local CPESN network. Fourteen questions collected the MNFs experience with (1) opportunities at the local network, (2) resources found helpful for implementing payer-partner programs, (3) barriers to implementing payer-partner programs, (4) confidence with tasks related to payer-partner program implementation, and (5) reporting what types of teammates they work with or manage when implementing a payer-partner program. The survey was open for data collection for 65 days. Data were analyzed using descriptive statistics. ResultsA total of 42 completed surveys were returned (response rate, 87.5%). MNFs ranked the barriers most frequently experienced as buy-in effect (n = 16, 41.0%) and management of pharmacy/network follow-through (n = 11, 28.2%). MNFs reported helpful resources for program implementation as peer-to-peer guidance (n = 31, 79.5%) and program handouts/guides (n = 30, 76.9%). MNFs reported additional resources needed as subject matter experts (n = 23, 59.0%) and templated communications (n = 22, 56.4%). MNFs expressed their highest levels of confidence in tasks related to leadership management (n = 30, 76.9%) and implementing programs (n = 28, 71.8%). ConclusionBarriers to payer-partner program implementation within the CIN were buy-in effect, management of pharmacy/network follow-through, management of peers, and management of pharmacy/network implementation. Leaders within the CIN reported desires for a toolkit that iterates successful strategies and education on building community and accountability within local networks. Development of tailored support and resources can enhance the capacity of network leaders to scale payer-partner programs within community-based pharmacies.

One-index vector quantization based adversarial attack on image classification

To improve storage and transmission, images are generally compressed. Vector quantization (VQ) is a popular compression method as it has a high compression ratio that suppresses other compression techniques. Despite this, existing adversarial attack methods on image classification are mostly performed in the pixel domain with few exceptions in the compressed domain, making them less applicable in real-world scenarios. In this paper, we propose a novel one-index attack method in the VQ domain to generate adversarial images by a differential evolution algorithm, successfully resulting in image misclassification in victim models. The one-index attack method modifies a single index in the compressed data stream so that the decompressed image is misclassified. It only needs to modify a single VQ index to realize an attack, which limits the number of perturbed indexes. The proposed method belongs to a semi-black-box attack, which is more in line with the actual attack scenario. We apply our method to attack three popular image classification models, i.e., Resnet, NIN, and VGG16. On average, 55.9 % and 77.4 % of the images in CIFAR-10 and Fashion MNIST, respectively, are successfully attacked, with a high level of misclassification confidence and a low level of image perturbation.

Perceptions, Expectations, Reality, and Public Confidence Regarding the Role of Pharmacists in Pharmacy Services in Bandung

Background: The shifting from the old paradigm to the new paradigm with the philosophy of pharmaceutical care demands pharmacists to enhance the quality of pharmaceutical services. However, this role has not been optimally fulfilled, especially in the community setting.Objectives: This study aimed to identify the perceptions and expectations, the gap between expectations and reality, and public confidence as well as to analyze the relationship between sociodemographic factors and the perceptions, expectations, and public confidence in Bandung City regarding the role of pharmacists in pharmaceutical services.Methods: A cross-sectional study was conducted using a validated survey instrument with 440 respondents in Bandung, West Java, from March to April 2023. The survey data were analyzed descriptively and through inferential statistics.Results: The analysis showed that 58.41% of the community had a positive perception, 56.82% had high expectations, the average gap between expectations and reality was 14.04%, and more than 51.36% had a high level of public confidence in pharmacists. Sociodemographic factors influencing perceptions were age and the highest level of education (p = 0.005; p = 0.003), factors influencing public confidence were age, the highest level of education, residence address according to ID card (KTP), and occupation (p &lt; 0.001; p = 0.034; p = 0.001; p = 0.001), and the factor influencing expectations was the residence address according to ID card (KTP) (p = 0.043). A correlation was found between the dimensions of perceptions, expectations, and public confidence.Conclusion: Most participants held a positive perception, had high expectations, and shown high confidence in the pharmacist's position, despite the existence of a disparity between expectations and the actual provision of pharmacy services. The elements of perception, expectations, and confidence are interrelated.

Enhancing quantitative capacity for the health sector in post-Ebola Liberia, a tracer study of a locally developed and owned coding and biostatistics program

Background Despite the demonstrated value of quantitative research in understanding and responding to public health events, analytics capability is not always prioritized or available in settings that would greatly benefit from it. In Liberia, there are no university degree-granting programs in biostatistics or mathematical modeling, promoting dependence on external technical assistance. To address the gap, a local NGO, Quantitative-Data for Decision-Making (Q4D), was founded to enhance capacity and opportunities for analyzing quantitative data among Liberians. Methods To understand the relevance, utility, and impact of the skills being taught at Q4D, a tracer study was undertaken with current and former students. Participants completed an online survey that evaluated how often and in what ways they are applying course skills, as well as any personal or professional advancement they have attributed to their learning of coding and/or biostatistics through the program. Results Among 43 participants, 81% reported a high level of confidence in independently applying skills learned through Q4D classes in their jobs and/or academic programs. Most participants (81%) responded that they were actively demonstrating the skills they acquired; 74% were teaching the skills to others. Among the 83% of employed participants who reported using the skills currently in their jobs, 56% rated the skills they learned as very or extremely useful in their current positions. Several students attributed salary increments, consultancy opportunities, and scholarships to the skills gained through the program. Conclusions Program skills are being applied by students employed in health-related sectors, suggesting that the training content is relevant and useful for addressing some of the workforce’s analysis needs. Moreover, skills built through the program have positively impacted students by preparing them with the skills required for additional employment and training opportunities to advance in-country health research capacity and reduce inequities.

Spatial identification of public spaces’ functions: a case study of Bach Dang Wharf Park in Ho Chi Minh City, Vietnam

Abstract Urban public spaces serve various functions and roles, such as physical, symbolic, ecological, economic, political, social, psychological, and aesthetic. Each function has specific design requirements and holds different meanings for space users. This study aims to identify the location of various functions within Bach Dang Wharf Park, one of the famous central riverside parks of Ho Chi Minh City, Vietnam, and test hypotheses about the concentration of hotspots for each function. To achieve these, we combined participatory GIS methods and face-to-face interviews using quantitative questionnaires and then used SPSS software to examine the relationship between park users’ identification of functions and other factors. We conducted two surveys, each lasting one week, in June 2022 and April 2023, with a total of 223 respondents and 1,413 marked points for park functions. The results showed that how people perceive park functions significantly relates to the characteristics of their park visitation rather than personal information. The hotspots of physical, symbolic, ecological, economic, and political functions appeared with high confidence levels and differed in size and location between the survey times. Meanwhile, in the 2022 survey, hotspots of social function appeared at the old pier near the high-speed boat station and opposite Nguyen Hue walking street. Later in 2023, these areas were mostly concentrated by markers of psychological function. At the same time, hotspots of aesthetic function were recorded in the space in front of the ASEAN flagpole. This approach effectively promotes community involvement in urban planning by better understanding citizens’ needs for public space.

Fingerprinting of emerging contaminants in L'Albufera natural park (Valencia, Spain): Implications for wetland ecosystem health

Wetlands are crucial ecosystems that are increasingly threatened by anthropogenic activities. L'Albufera Natural Park, the second-largest coastal wetland in Spain, faces significant pressures from surrounding agricultural lands, industrial activities, human settlements, and associated infrastructures, including treated wastewater inputs. This study aimed at (i) establishing pathways of emerging pollutants entering the natural wetland using both target and non-target screening (NTS) for management purposes, (ii) distinguishing specific contamination hotspots through Geographic Information System (GIS) and (iii) performing basic ecological risk assessment to evaluate ecosystem health. Two sampling campaigns were conducted in the spring and summer of 2019, coinciding with the start and end of the rice cultivation season, the region's primary agricultural activity. Each campaign involved the collection of 51 samples. High-resolution mass spectrometry (HRMS) was employed, using a simultaneous NTS approach with optimized gradients for pesticides and moderately polar compounds, along with complementary NTS methods for polar compounds, to identify additional contaminants of emerging concern (CECs). Quantitative analysis revealed that fungicides comprised a substantial portion of detected CECs, constituting approximately 50% of the total quantified pesticides. Tebuconazole emerged as the predominant fungicide, with the highest mean concentration (>16.9 μg L−1), followed by azoxystrobin and tricyclazole. NTS tentatively identified 16 pesticides, 43 pharmaceuticals and personal care products (PPCPs), 24 industrial compounds, and 12 other CECs with high confidence levels. Spatial distribution analysis demonstrated significant contamination predominantly in the southwestern region of the park, gradually diminishing towards the north-eastern outlet. The composition of contaminants varied between water and sediment samples, with pharmaceuticals predominating in water and industrial compounds in sediments. Risk assessment, evaluated through risk quotient calculations based on parent compound concentrations, revealed a decreasing trend towards the outlet, suggesting wetland degradation capacity. However, significant risk levels persist throughout much of the Natural Park, highlighting the urgent need for mitigation measures to safeguard the integrity of this vital ecosystem.