Identification Process Research Articles

Development of image extraction using the centerline method in the identification of appendicitis in ultrasonography

Appendicitis is a disease that refers to inflammation of the appendix caused by obstruction, or blockage, in the lumen of the appendix. We investigated that this disease can be detected early through medical imaging such as ultrasonography (USG). However, the role of ultrasound in these cases is still limited due to the low visualization rate of the visible appendix. Based on this, this research aims to develop an image extraction process using the Centerline method in the process of identifying appendicitis in ultrasound images. The development of the extraction process is presented in the performance of the centerline and boundary extraction (CBE) algorithm which can represent image objects as boundaries that limit and separate one area from other areas. The research dataset used was 2097 ultrasound images sourced from 90 patients at the West Sumatra Lung Hospital. Based on the tests that have been carried out, it has been proven that it can reduce the width of the image object iteratively until the object is represented as a center line or the thinnest representation. The performance of the CBE algorithm in the identification process is sufficient to provide accuracy results of 92%. These results can be a new extraction concept that can provide accuracy in the identification process.

Time-Domain Load Identification and Dynamic Displacement Inversion of Discharge Sluice in Large Hydropower Stations Based on the Conjugate Gradient Least Squares Iteration Algorithm

The identification of flow-induced vibration loads is the key to solving the vibration problem of hydraulic structures induced by high-speed water flow. In this study, a time-domain load identification method for discharge sluices in large hydropower stations based on the conjugate gradient least squares (CGLS) iteration algorithm is proposed. The main idea of this method is to first construct a mathematical model through the response signal and the structural modal parameters for solving the equivalent load acting on the sluice structure. Then, it uses the iterative regularization method to solve the ill-posed problem in the load identification process of the traditional time-domain method. Numerical simulations show that, in comparison to the traditional Tikhonov regularization algorithm, the CGLS algorithm is capable of reducing the relative error of the identified dynamic loads by approximately 100%, with higher accuracy and noise immunity. In this study, the CGLS algorithm is used to identify the external dynamic loads acting on the sluice structure during the flood discharge process of a large hydropower station in China. Three equivalent dynamic loads acting on the pier and the bottom plate are obtained. The positive analysis of the vibration response of the discharge structure is conducted using the equivalent load. The results show that the error between the measured vibration response signals and the vibration response signals obtained from the positive analysis is relatively minor, with the exception of a few individual measurement points. The displacement response mean square error is less than 10%, thereby substantiating the accuracy and validity of the CGLS load identification method proposed in this study in the actual engineering.

Human Identification: Methods And Challenges in Forensic Anthropology

Abstract: The identification of human remains in forensic anthropology, especially in legal context, is of paramount importance and is achieved through the use of different available methods in the justice system as well as through a number of challenges. This study is made possible by many disciplines working together, namely osteology, anthropology and genetics,to determine the identity of the skeletal remains of a person. This includes, among others, theexamination of skeletal characteristics – age, the sex, ancestry and stature of an individual, and the more technical aspects like genetic profiling and isotopic indicator. In progress of all the inventions in this field and improvement in methodology some challenges still exist. Assessments are complicated by the presence of the particularly, the decomposed, burned or fragmented remains and ethical issues such as patient consent and the treatment of the body are further complications. In addition to this, the distinct skeletal characteristics prevalent in different populations may result in misidentification. In this abstract, we stress the importance of further studies and new implementation strategies dueto existing challenges in the identification processes in forensic anthropology to ensure that justice is able to reach the grieving families.

Stakeholder communication framework for successful implementation of community-based renewable energy projects

The implementation of community-based renewable energy projects demands effective stakeholder communication to ensure project sustainability, community acceptance, and overall success. This review proposes a strategic framework for communicating with diverse stakeholders, including local communities, government agencies, project developers, and non-governmental organizations. The framework emphasizes transparency, trust-building, and engagement as core principles to address the unique challenges and requirements of community-based renewable energy initiatives. Key components include identifying relevant stakeholders, establishing clear communication objectives, and selecting appropriate channels for tailored, ongoing dialogue. First, the framework outlines the identification process of key stakeholders, considering their roles, influence, and interests in the project. This involves categorizing stakeholders into primary (directly impacted) and secondary (indirectly impacted) groups, which enables targeted engagement efforts. Next, the framework recommends diverse communication channels, such as community meetings, social media platforms, local radio, and informational workshops. These channels are chosen based on accessibility, stakeholder preferences, and cultural appropriateness, ensuring messages reach all stakeholders effectively. The framework also includes strategic engagement tactics to enhance community participation, including participatory planning sessions, regular feedback loops, and transparent reporting on project milestones and impacts. By fostering continuous interaction, the project team can build and sustain trust, helping to alleviate concerns and gain community support. Moreover, the framework advocates for the inclusion of culturally relevant communication approaches that respect local values and practices, further strengthening stakeholder relationships. Implementing this communication framework is expected to enhance transparency, cultivate trust, and improve community buy-in, ultimately driving the success and long-term sustainability of community-based renewable energy projects. This approach aligns stakeholder interests, mitigates risks of opposition, and promotes shared ownership, facilitating smoother project execution. By engaging stakeholders meaningfully, community-based renewable energy initiatives can achieve greater resilience and acceptance, contributing to the broader goals of energy transition and environmental sustainability.

Exploring potential car trips for long-distance school escorting using smart card data and a household travel survey

Encouraging students to commute by the metro can effectively reduce household car use caused by long-distance commuting to school. This article focuses on the frequency of metro use by groups of students commuting to school based on the assumption that students who use the metro may occasionally be driven to school by their parents. For the 1st time, we propose a school metro commuter identification process that considers the potential behaviour of escorted students, and we study the potential car trips for long-distance school escorting in Nanjing (China) using Smart Card Data (SCD) and a household travel survey from Nanjing. 3 clusters of students who use the metro for commutes to school are identified by frequency of use for possible escorting behaviour based on the commuting day. As possible factors influencing the 3 frequency groups, usage pattern of the metro, entry time, travel duration and the school–housing relationship are extracted from SCD. Furthermore, a multinomial logistic regression model is used to examine the significant factors that influence the grouping of students. The results show that students who use the metro occasionally for a long commuting distance to school are more likely to be escorted to and from school by their parents, especially to school. The later the entry time is to the metro, the more likely that students are to be escorted to school. Additionally, a long school–housing travel duration/distance significantly contributes to parents’ car trips for commuting. The results of this article are valuable for transport policy to reduce car use for long-distance school trips.

Evaluating the Impact of Technological Innovations on Operational Risk Management in Financial Institutions

This study evaluates the impact of technological innovations on operational risk management in financial institutions, focusing on how emerging technologies influence risk identification, mitigation, and management processes. Employing a qualitative approach through literature review and library research, this study synthesizes recent findings on the integration of technologies such as artificial intelligence (AI), blockchain, big data analytics, and cloud computing within financial risk frameworks. Findings indicate that these technologies offer substantial improvements in risk management by enhancing accuracy in risk detection, increasing response speed, and reducing human error. AI and machine learning models, for instance, are shown to enable real-time monitoring and predictive analytics, allowing institutions to identify potential risks before they materialize. Blockchain technology improves transparency and security in transaction processing, thereby mitigating fraud-related risks. Big data analytics provides insights into customer behavior, which can help detect anomalous activities and improve decision-making. However, the study also highlights challenges, including the need for robust cybersecurity measures, potential regulatory gaps, and skill shortages in handling complex technological systems. This study provides insights for financial institutions aiming to balance technological integration with effective risk management, underscoring the need for comprehensive frameworks that align technological advancements with regulatory compliance and organizational capability. Future research should focus on empirical studies assessing the long-term implications of these technologies on risk management efficacy in diverse financial settings.

Different facets of age perception in people with developmental prosopagnosia and "super-recognisers".

The interplay between facial age and facial identity is evident from several scenarios experienced in daily life, such as when recognising a face several decades after the last exposure. However, the link between age and identity processing, and how age perception abilities might diverge in individuals with different face processing abilities, has scarcely been considered. Furthermore, the approach used to test age perception ability may also influence outcome, but the effect of different paradigms on performance is not yet known. Across three studies, we compare super-recognisers (SRs), people with developmental prosopagnosia (DPs), and a group of neurotypical controls, on three age perception paradigms. There were no differences on the numeric age estimation task (i.e. providing precise age estimates for a series of faces; Study 1), and numeric age estimation task with added noise-distortion to stimuli (Study 2). However, SRs were more accurate when instructed to classify ambient faces as either over- or under- the age of 18 compared to both DPs and controls (Study 3). Thus, there may be nuanced differences in age processing which can be tapped into using separate paradigms; however, given that the difference is only with SRs it remains unclear to what extent these are linked to facial identity processing.

Study protocol of the ALMA-CKD trial; an electronic triggering decision-support system to improve the detection, recognition, and management of patients with chronic kidney disease in primary care.

Chronic kidney disease (CKD) is a global health problem affected by under-recognition and under-treatment in primary care settings. Electronic clinical decision support (CDS) triggering systems have the potential to improve detection and management of people with CKD by assisting clinicians in adhering to guideline recommendations. We aimed to test whether an electronic CDS triggering system would improve the detection, recognition, and management of patients with CKD in primary care. This is a pragmatic cluster-randomized controlled trial where 66 primary healthcare centers from the Stockholm Region, Sweden were randomized 1:1 to receive either a new expanded CDS-triggering system offering kidney-specific advice or to continue with their current CDS-triggering system. The expanded CDS system reminds and provides practical facilitators of the processes of CKD screening, recognition with a diagnosis, management and referral to specialist care. The trial duration is 24 months and it is embedded into the Stockholm CREAtinine measurements (SCREAM) project, a repository of healthcare data from the region, which minimizes disturbances with healthcare praxis due to the trial and makes it fully pragmatic. The primary outcomes are the number of eligible patients screened for creatinine and albuminuria once annually and the re-testing of these labs within 6 months in patients with abnormal eGFR or albuminuria. Secondary outcomes are the proportions of issued clinical diagnoses among those fulfilling criteria, proportions of patients with significant albuminuria receiving prescribed nephroprotective medications, proportions of accepted referrals to nephrologist care among those fulfilling criteria and proportion of referrals for ultrasound of the kidneys. Prior pragmatic trials of CDS-systems in CKD has shown an improvement in quality indicators primarily in patients already diagnosed with CKD. This study expands this evidence by focusing on the process of screening, identification, monitoring and diagnostic work-up. This pragmatic trial will assess the value of CDS for improved adherence to CKD guidelines in primary care. gov registration: NCT06386172, submitted 2024-04-23.

Abstract IA025: A DNA methylation atlas of normal human cell types

Abstract DNA methylation is a fundamental epigenetic mark that governs gene expression and chromatin organization, thus providing a window into cellular identity and developmental processes. Current datasets typically include only a fraction of methylation sites and are often based either on cell lines that underwent massive changes in culture or on tissues containing unspecified mixtures of cells. Here we describe a human methylome atlas, based on deep whole-genome bisulfite sequencing, allowing fragment-level analysis across thousands of unique markers for 39 cell types sorted from 205 healthy tissue samples. Replicates of the same cell type are more than 99.5% identical, demonstrating the robustness of cell identity programmes to environmental perturbation. Unsupervised clustering of the atlas recapitulates key elements of tissue ontogeny and identifies methylation patterns retained since embryonic development. Loci uniquely unmethylated in an individual cell type often reside in transcriptional enhancers and contain DNA binding sites for tissue-specific transcriptional regulators. Uniquely hypermethylated loci are rare and are enriched for CpG islands, Polycomb targets and CTCF binding sites, suggesting a new role in shaping cell-type-specific chromatin looping. The atlas provides an essential resource for study of gene regulation and disease-associated genetic variants, and a wealth of potential tissue-specific biomarkers for use in liquid biopsies. Citation Format: Tommy Kaplan. A DNA methylation atlas of normal human cell types [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr IA025.

Machine learning enabled fast optical identification and characterization of 2D materials.

Two-dimensional materials are a class of atomically thin materials with assorted electronic and quantum properties. Accurate identification of layer thickness, especially for a single monolayer, is crucial for their characterization. This characterization process, however, is often time-consuming, requiring highly skilled researchers and expensive equipment like atomic force microscopy. This project aims to streamline the identification process by using machine learning to analyze optical images and quickly determine layer thickness. In this paper, we evaluate the performance of three machine learning models - SegNet, 1D U-Net, and 2D U-Net- in accurately identifying monolayers in microscopic images. Additionally, we explore labeling and image processing techniques to determine the most effective and accessible method for identifying layer thickness in this class of materials.

Developing an accurate finite element model for brake disc in contact with the pad using experimental modal analysis

The brake system is a critical safety component in cars, and its performance is essential for the safety of both the driver and passengers. The stability of the brake disc and understanding the contact area between the disc and the brake pads are crucial aspects of brake system design and performance. This paper aims to create an accurate model of the brake system, especially the contact area between the disc and the pads. This model can be used to investigate the effects of increasing braking pressure and changing the contact surface. Moreover, this model can calculate the dynamic responses of the system when an angular velocity is applied to the disc. First, a braking system was tested experimentally several times. Then a finite element model of the structure was created in ANSYS commercial software with defining suitable elements for the contact area between the disc and the pads. In the following, by an identification process a distribution of contact parameters at different braking pressures was obtained. The results shows that when the braking pressure increases, the dynamic responses of the structure increase, as well as the contact stiffness. A further increase in braking pressure does not have much effect on the contact stiffness and the contact area becomes like a new support.

Transformation processes of professional identity against the background of media convergence

The purpose of the work is to study the transformation processes of constructing professional identity under the influence of new information technologies and to consider the evolution of views on the processes of scientific and practical understanding of new media resources in the context of the development of convergent journalism as a phenomenon of the modern information society. It was established based on the conducted research that the values and beliefs of journalists, reflecting the process of professional self-identification, are forming in the process of choosing certain options among a variety of alternatives and transforming further under the current conditions of the information and communication environment. In the process of the study, the article identifies the features, content, and main trends in the transformational processes of professional identity and professional culture of journalists in the context of technological changes in the media industry. The dynamics of the development of media convergence are shown from the point of view of the mutual influence of traditional and new media and the tendency of improving their technological and dialogue features and capabilities in content creation and broadcasting. An assessment is made of the degree of adaptation of regional media to modern conditions of the information and communication environment in the context of organizational, professional, and communicative convergence.

Abstract 4138246: Differences in Major Adverse Cardiovascular and Lower Limb Events and Guideline-Directed Medical Therapy Among Males and Females Within an Integrated Healthcare System

Background: Health disparities based on gender have been recognized as having a detrimental impact on care delivery and early identification of disease processes. Peripheral arterial disease (PAD) is the third leading cause of atherosclerotic disease mortality. It is unclear what role, if any, gender plays in the diagnosis, treatment, and outcomes of PAD. Hypotheses: Females are less likely to have guideline-directed medical therapy (GDMT) and more likely to have major adverse cardiovascular events (MACE) and major adverse lower limb events (MALE) than males. Methods: The Intermountain Health electronic database was queried for patients meeting the following criteria: ≥18-years of age, PAD diagnosis between Jan 2006 to Dec 2021, seen at least once within the 18-months following initial PAD diagnosis, and had a symptom of PAD (see table). Follow-up GDMT, based on the 2016 AHA/ACC PAD guidelines, was determined by medication and procedures. Time to outcomes of MACE (all-cause death, MI, stroke, or unstable angina hospitalization) and MALE (limb ischemia, limb revascularization, or limb amputation) were examined using Cox-proportional hazard adjusted for GDMT, age, and prior CAD. Results: A total of 7522 patients had a symptomatic PAD diagnosis, with 38% female and 62% male. Females tended to be older (70.1±13.0 vs 68.6±11.7), more likely to be obese (25% v 21%), and less likely to have Afib (21% v. 24%), CAD (30% v 41%), MI (11% v 16%), renal failure (19% v 22%) but more likely to have a bleeding history (30% v 26%) (all p<0.01). Females were slightly less likely to have all the GDMT and yet had similar rates of referrals to specialists but higher rates to primary care providers (Table). After adjustment, females were less likely to have MACE (HR=0.94; 95% CI: 0.88, 0.99) and MALE (HR=0.85; 95% CI: 0.80, 0.92). Conclusion: Females had lower rates of MALE, driven by lower limb revascularization or amputation rates, and slightly lower rates, after adjustment, for MACE. This was observed despite the high rates of GDMT for both females and males (~80% in any category), with females having slightly less GDMT.

Understanding community perspective on the heritage of locality: memory map methodology

PurposeCommunity involvement in heritage preservation requires appropriate approaches. Sanciai (in Lithuanian: Šanciai) historic district in Kaunas (Lithuania) has long-lasting military and industrial heritage, valuable urban structure and connections to the natural frame of the city. Sanciai residents’ willingness to participate in heritage preservation and urban planning prompted the aim of this research – to develop, test and present the mapping methodology, that would be applicable in the process of community involvement into heritage identification, preservation, interpretation and creation process.Design/methodology/approachThe methods of research included analysis of literature and theoretical research, development and testing of the methodology for the community involvement in heritage identification, preservation, interpretation and creation process. The workshop methodology and interactive online map are presented in this research. The memory map methodology developed and presented in this research includes the elements of mental mapping, design thinking and citizen science.FindingsThe methodology was tested in spring of 2021 in two-day online workshops with the students of pro-gymnasium located in Sanciai. Workshop participants together with workshop coordinator and moderators created different layers of the mental map, collected stories from the members of community and gathered the data for online interactive Sanciai memory map. The evaluation of the methodology and workshop results allowed concluding that memory map methodology is a functioning participant, community and research-oriented approach that can be applied in diverse heritage and community related circumstances.Originality/valueThe originality of the research is determined by the synergistic nature of developed memory map methodology which complements traditional mental mapping with creative hands-on techniques, empathy-oriented tasks and interactive online tool. Moreover, the research reveals the importance of local-global connections in urban studies as active local community became the stimulus for memory map methodology. The two-fold aim of the methodology – community cohesion and empowerment as well as research data collection – contributes to the originality of the research as well.

Intelligent-based approach for parameters identification and control of fractional order systems

The optimization algorithms for identification and control processes take more and more place in the industrial domain. However, determining a control law for fractional systems remains challenging for researchers today. This paper presents a simple method for using a fractional PID (FOPID) corrector to regulate a class of fractional systems that show a stable step response. The procedure is based on an algorithmic identification to assimilate the fractional system into a simple model. Optimization methods were used. Using techniques like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Artificial Bee Colony (ABC), and Ant Colony Optimization (ACO) to ascertain the parameters of the basic model, a first-order system with delay. Then, the FOPID controller will be calculated using Ziegler–Nichols methods and optimization algorithms to stabilize the real process. Better performance Overshoot and Settling time as well as minimal Energy control effort are benefits of the proposed design. To confirm that the fractional regulator is robust which is optimized by the best-chosen method (PSO), the parameters of the chosen process will be randomly varied. Through two numerical simulations, the efficiency of the suggested method has been confirmed.

Parameter Identification of Solid Oxide Fuel Cell Using Elman Neural Network and Dynamic Fitness Distance Balance-Manta Ray Foraging Optimization Algorithm

An accurate solid oxide fuel cell model is a prerequisite for optimizing the operation and state estimation of subsequent cell systems. Hence, this work aimed to utilize a vigoroso algorithmic tool, i.e., Elman neural network, for data prediction to enrich cell measurement data and employ the trained network model for noise reduction of voltage–current data. Furthermore, to obtain reliable cell parameters, a novel parameter identification model based on the dynamic fitness distance balance-manta ray foraging optimization (dFDB-MRFO) algorithm is proposed. Two datasets were applied to extract the electrochemical model and simple electrochemical model parameters of the solid oxide fuel cell model. To verify adequately the superiority of this method, which is compared with another seven conventional heuristic algorithms, four performance indicators were selected as evaluation criteria. Comprehensive case studies demonstrated that through data processing, the precision and robustness of identification could be effectively heightened. In general, the model fitting data obtained via parameter identification using dFDB-MRFO have excellent fitting precision contrast with the measured voltage–current data. Notably, the fitting degree obtained by dFDB-MRFO in the simple electrochemical model reached 99.95% and 99.91% under the two datasets, respectively.

The Anthropological Process of Identifying Missing Persons as a Teaching Method for Increasing Awareness in Legal and Forensic Dentistry in the Republic of Cyprus

Forensic Odontology is a critical field within forensic science, with significant importance in legal contexts and the identification of victims in mass disasters or cases of abuse. This article focuses on the efforts made by the European University Cyprus (EUC) School of Dentistry to raise awareness among dental students regarding legal and forensic dentistry practices. Through voluntary visits to the Anthropological Laboratory of the Committee on Missing Persons (CMP) in Cyprus, students gain firsthand experience and insights into anthropological analysis for identifying missing individuals. These visits provide students with practical application opportunities, emphasizing record-keeping practices, oral tissue morphology analysis, and unique aspects of restorative work during identification processes. Feedback from participating students highlights the value of experiential learning in increasing awareness about forensic odontology’s importance and relevance in real-world scenarios. The initiatives undertaken by the EUC School of Dentistry contribute to enhancing legal and forensic dentistry awareness among future dental professionals in Cyprus.

RCTV's "Wewara" Program in Preserving Cirebon Local Wisdom

The rapid development of technology has made it easier for humans to communicate. Communication is a process of conveying and receiving symbols that contain a meaning, whether in the form of information, thoughts, knowledge or other forms. The researcher conducted a study related to a RCTV "Wewara" Program in preserving Cirebon Local Wisdom. The purpose of this research is so that all people and readers know the importance of maintaining local wisdom and cultural communication from an area that we live in, besides that the researcher wants to know more about the process, principles, and editorial policies of the Cirebon language contained in the "wewara" news broadcast program. This research uses a qualitative descriptive research method, by conducting an interview and conducting a direct observation in the field. The results of this study show that the agenda setting agenda in RCTV's "Wewara" Program in Preserving Cirebon Local Wisdom gives birth to three stages, namely the process of problem identification (problem stream), policy determination (policy stream) and finally the political process (political stream).

Encounter, Critique, and Postcritique: A Play in Two Acts

What’s at stake in debates over critique and postcritique in International Relations (IR)? To subvert that question, this article is written in the format of a theatre play that stages a repeated encounter between scholars who are invested, or not, in that debate. At the centre of the conversations that take place are questions linked to academic responsibility, the nature of reflexivity, and the possibility of different political futures. The play and its characters are fictions, though they are hoped to reflect the ‘narcissism of small differences’ that often pervades academia. In doing so, we seek to (1) foreground how small changes in context (here, from an academic to a practitioner conference) force radical changes on how intellectual controversies are debated, (2) emphasize that the true stakes of debates such as those between critique and postcritique are often obscured by the combative nature of academic discourse, and (3) advocate for a refusal of, or active withdrawal from, the arbitrary classification of scholars into particular intellectual camps or positions. This process of fixing identities, the false idea that we are simply our academic personas, very rarely reflects either our personal-political realities nor the complex, polyphonic, and sometimes happily contradictory qualities of our evolving intellectual lives.

Drug-related problems among pediatric intensive care units: prevalence, risk factors, and clinical pharmacists’ interventions

BackgroundDrug-related problems (DRPs) are frequently observed in intensive care units, resulting in a higher occurrence of drug side effects and increased treatment expenses. This study aimed to assess the prevalence of DRPs in pediatric patients admitted to the most prominent surgical and medical pediatric intensive care units (PICUs) in southern Iran, given the susceptibility of children to the effects of DRPs.MethodThis cross-sectional study was conducted at Namazi Hospital, which is affiliated with Shiraz University of Medical Sciences in Shiraz, Iran, from June 2022 to March 2023. The research focused on identifying and detecting drug-related problems (DRPs) among pediatric patients during their hospital stays across three medical wards, two pediatric intensive care units, and a surgical intensive care unit. The identification process occurred concurrently with patient treatment and utilized the Pharmaceutical Care Network of Europe’s data collection form for DRPs version 8.01. Before any documentation, all cases were thoroughly reviewed and validated by a professional focus group. The data gathered were then statistically analyzed using SPSS to evaluate the study’s outcomes.ResultDuring the study, 323 pediatric patients were involved, of whom 57% experienced at least one DRP. The primary issues identified during the study were suboptimal drug treatment, accounting for 41.13% of cases, followed by concerns related to treatment safety, which constituted 38.53% of cases. Drug-drug interactions were found to be the leading cause of DRPs, accounting for 36.26% of cases. Two significant factors associated with DRP occurrence were the number of prescribed drugs and the number of prescribed anticonvulsants. Out of all clinical pharmacist interventions, 97% were accepted.ConclusionPatients admitted to the PICUs experience a high occurrence of DRPs. It is essential to consider optimal dosage adjustment, particularly for pediatric patients with impaired kidney function.