Specific Methodology Research Articles

Deprescribing in Older Adults: Attitudes, Awareness, Training, and Clinical Practice Among Portuguese Physicians.

The importance of deprescribing in clinical practice is growing, particularly in aging populations with polypharmacy scenarios, making it a crucial matter in Portugal, one of Europe's most aged nations. The aim of this study was to investigate deprescribing awareness, training, attitudes, and practices among Portuguese physicians to inform future healthcare strategies. A cross-sectional study using an anonymous online questionnaire was disseminated through the Portuguese Medical Association. It gathered sociodemographic and professional data, and insights into deprescribing awareness, attitudes, training, and practices. Descriptive statistics were summarized as frequencies, percentages, medians, and interquartile ranges. For inferential analysis, the Chi-square test and Fisher's exact test were used to evaluate categorical variables, and the Mann-Whitney U test was used for continuous variables. The significance level was set at p < 0.05. A total of 425 valid questionnaires were included. The participants were mostly women (61.6%), with a median age of 45 (IQR 34 - 42). General practice/family medicine (34.1%) and internal medicine (16.2%) were the most common medical specialties. While 81.2% of the respondents were familiar with the term 'deprescribing', 55.4% reported no training. A vast majority (91.9%) reported practicing deprescribing, but a smaller fraction employed specific methodologies to deprescribe (39.8%) and criteria for identifying potentially inappropriate medications (38.7%). Training in deprescribing was significantly associated with higher deprescribing awareness (p < 0.001), the use of specific deprescribing methods (p < 0.001), the use of criteria to identify potentially inappropriate medications (p < 0.001) and having certification in geriatrics by the Portuguese Medical Association (p = 0.006). Family physicians showed higher familiarity with and training in deprescribing than hospital-based specialists (p < 0.001). Deprescribing methodologies were adopted more often by family physicians than by hospital-based specialists (p = 0.004). This study highlights widespread deprescribing awareness among Portuguese physicians, while simultaneously uncovering considerable gaps in training and inconsistencies in its application. These findings highlight the pressing need for targeted educational initiatives that could contribute to medication optimization for older adults in the national healthcare system. Furthermore, these findings emphasize the importance of policy development and medical education in promoting safe deprescribing.

Analysis of dental chipping for identifying and diagnosing tooth fracture patterns in osteological series

ObjectiveTo develop a specific methodology for identifying dental chipping and determining its temporal occurrence in past populations. DesignThe analysed sample comprised of 2191 human teeth from various Bronze Age on the Iberian Peninsula (Argar culture, 1900–1450 cal BC). Among these, 471 chipped teeth were identified. Chipping was examined using various microscopic techniques (digital three-dimensional, optical, and confocal), focusing on distribution, morphology, position in the tooth, extent of damage, and post-chipping antemortem modifications (PCAM). ResultsThe distribution and morphology of the chips enabled the identification chipping mechanism of the chipping, providing valid criteria to distinguish between antemortem and postmortem chipping. Microscopic analyses of the chipping segments—edges, sidewalls, surface, and surrounding area—facilitated determination of the time the chip ocurred (antemortem: recent, less recent, or not recent). ConclusionsWhile experimental studies provide valuable insights into chipping mechanisms, many criteria may not be applicable to past populations because of the presence of PCAM. The lack of PCAM in some Argaric teeth suggests that previous studies may have underestimated the prevalence of chipping in past populations.

SynchroLINNce: toolbox for Neural Synchronization and Desynchronization Assessment in Epilepsy Animal Models

Epilepsy is a worldwide public health issue, given its biological, social, and economic impacts. Considering several open questions about synchronization and desynchronization mechanisms underlying epileptic phenomena, the development of algorithms and computational toolboxes for such analysis is highly relevant to their research. Moreover, given the recent developments of neurotechnology for epilepsy, it is essential to understand that proposals like computational tools may provide consistent data for closed-loop control systems, necessary in neuromodulation treatment alternatives, and for real-time monitoring systems to predict the occurrence of epileptic seizures. In the present work, SynchroLINNce, a freely distributable MATLAB toolbox designed to be used by epilepsy neuroscientists, including software-untrained), is proposed. Among its features, several functionalities such as recording visualization, digital filtering, and correlation analysis, as well as more specific methodologies, such as mechanisms for the automatic detection of epileptiform spikes, morphology analysis of these spikes, and their coincidence between channels are presented.

AI-driven antibody design with generative diffusion models: current insights and future directions.

Therapeutic antibodies are at the forefront of biotherapeutics, valued for their high target specificity and binding affinity. Despite their potential, optimizing antibodies for superior efficacy presents significant challenges in both monetary and time costs. Recent strides in computational and artificial intelligence (AI), especially generative diffusion models, have begun to address these challenges, offering novel approaches for antibody design. This review delves into specific diffusion-based generative methodologies tailored for antibody design tasks, de novo antibody design, and optimization of complementarity-determining region (CDR) loops, along with their evaluation metrics. We aim to provide an exhaustive overview of this burgeoning field, making it an essential resource for leveraging diffusion-based generative models in antibody design endeavors.

Fracture analysis of seawater sea-sand recycled aggregate concrete beams: Experimental study and analytical model

Seawater sea-sand recycled aggregate concrete (SSRAC) has garnered significant attention from engineers involved in various coastal engineering projects. Fracture constitutes one of the primary failure modes of SSRAC, and the accurate analysis of its fracture behavior is crucial for application. In this present study, SSRAC with 50% aggregate replacement was subjected to three-point bending tests to evaluate its fracture performance. Specific methodologies for calculating SSRAC fracture toughness were introduced, taking into account the effects of material microstructures and specimen boundaries. By comparing the fracture properties of SSRAC specimens with varying initial notch lengths, the size effect was addressed by using established methods, resulting in a constant fracture toughness value. Furthermore, the methods for analyzing the fracture of un-notched specimens were developed, considering fracture path analysis and the influence of internal defects. Notably, this research demonstrated that small specimens and established methodologies efficiently predict the fracture behavior of larger specimens, providing practical insights for engineering applications.

The Effects of Crystalline Admixtures on Concrete Permeability and Compressive Strength: A Review

The durability and strength of concrete in construction can be significantly compromised by permeability issues, which pose considerable challenges to its long-term effectiveness and reliability. By analyzing six selected articles from the Scopus database, this study meticulously synthesizes findings on the effectiveness of CAs in improving these essential properties of concrete. The research meticulously documents and analyzes key variables such as the CA dosage, water–cement ratio, evaluation duration, and treatment conditions, providing a thorough understanding of the factors that influence the performance of CAs in concrete. The results robustly indicate that CAs significantly reduce concrete permeability, thereby enhancing its resistance to water and other detrimental substances, and simultaneously boosts the compressive strength, leading to stronger and more durable concrete structures. However, the study also reveals that the impact of CAs can vary considerably depending on the specific conditions and methodologies employed in the individual studies. This underscores the importance of standardized testing procedures to ensure consistent and comparable results across different studies. This research provides valuable insights for optimizing the use of CAs in concrete formulations, ultimately aiming to improve the durability, performance, and sustainability of concrete in construction applications.

Clarification of the Methodology for Determining the Characteristics of Cable Cars

Purpose. The aim of this study is to clarify the methodology and develop an algorithm for determining the characteristics of cable cars of traditional design and with self-propelled cars, taking into account new factors of influence. Methodology. An analysis of existing methods for determining the characteristics of cable cars of various designs was carried out. This goal was achieved by taking into account the weight of the individual drive and the actual angle of the car's elevation relative to the horizon for a self-propelled car; the influence of the coefficient of adhesion of the rope to the tension pulley and the angle of envelopment of the rope around the tension pulley for a traditional cable car. To determine the required drive power of a cable car with self-propelled cars, the influence of the weight of an individual self-propelled car drive and the actual angle of the self-propelled car relative to the horizon are taken into account by the method of force analysis. For traditional cable cars, the contour traversal method is used, which takes into account the coefficient of adhesion of the rope to the tension pulley, as well as the angle of envelopment of the tension pulley by the rope. Findings. The dependencies of the required drive power on the design parameters of the cable car were obtained, taking into account new factors of influence. The choice of a specific methodology for calculating the required power is justified in accordance with the selected type of road and the initial data. The results obtained can be supplemented by performing additional calculations using the formulas given in this paper. The presented algorithms for determining the characteristics of a cable car using the refined methodology allow, at the programming level, to develop software for accurately calculating the value of the required drive power. Originality. The dependence of the required drive power on the characteristics of the cable car was clarified by taking into account additional factors, which made it possible to more accurately assess their impact on the final result. Practical value. The results of this work can be used in the design of energy-efficient cable cars, for which the electric motor is selected according to a refined methodology that takes into account more factors affecting the required drive power.

Criteria determination for selecting a projects management information system

The object of research is the process of selecting a project management information system. When selecting a PMIS for the customer organization, there is a need for a specific methodology to formalize the selection stages. The main existing selection methods and their criteria do not provide sufficient and objective information for selecting a PMIS. This research aims to develop a model and method based on it to systematize this process and ensure an objective and rational choice of PMIS, which in turn enhances the productivity and quality of project management. The method of analytic hierarchy process and a developed model are chosen as the basis for developing the method for selecting PMIS. The developed method consists of five stages: determining the basic assessments of PMIS criteria and their weights using experts; determining the assessment of PMIS sub-criteria; determining the global weight of the criteria; evaluating alternatives for each sub-criterion; and selecting the best alternative. An experimental verification of the developed model and method was conducted by creating a web application for data collection and processing within the considered stages. Python and specific libraries that enable the integration of the developed model and method into the company's website were used to develop the information technology. The obtained results demonstrate the feasibility of the chosen criteria in evaluating alternative PMIS by the customer using the formed model and method.

Sales expenses of trade and manufacturing organizations: Theoretical aspects and accounting considerations. Part 1

Subject. This article deals with the issues related to sales expenses as an object of accounting, conceptual framework, classification criteria, and particularities of analytical and synthetic accounting. Objectives. The article aims to conduct a comparative assessment of approaches to the concept of sales expenses of trade and manufacturing organizations, identify the classification criteria of sales expenses, consider options for reflecting sales expenses in analytical and synthetic accounting depending on the type of economic activity, and identify controversial issues in the distribution of sales expenses. Methods. For the study, we used the methods of comparative analysis, content analysis, systematization, and generalization. Results. The analysis of the conceptual framework in economic sources has revealed the ambiguity of approaches to the use of terms to designate sales costs. The article identifies the classification criteria of sales expenses typical for trade and manufacturing organizations, reveals the ambiguity of attribution of specific types of sales expenses to the relevant items of analytical accounting, shows options for accounting for sales expenses depending on the type of economic activity, and reveals the particularities of accounting for transportation costs in trade organizations. An analysis of regulatory documents shows that there is no specific methodology for allocating sales expenses for accounting purposes. Conclusions and Relevance. At the moment, all previously effective methodological recommendations, which contained a methodology for calculating the distribution of sales expenses in accounting, have been canceled. However, there are no newly adopted recommendations, so non-government regulatory bodies are invited to develop methodological tools for accounting for sales expenses and their distribution. The results obtained can be used both in the theory of accounting and in the practice of reflecting sales expenses.

Digital Maturity Assessment Model (DMAM): assimilation of Design Science Research (DSR) and Capability Maturity Model Integration (CMMI)

PurposeThis study introduces the Digital Maturity Assessment Model (DMAM), a model tailored to assess the digital maturity of SMEs, tracing its development from addressing business challenges to establishing a comparative analysis framework grounded in Resource Dependence Theory (RDT).Design/methodology/approachDMAM is based on positivist philosophy and objectivist epistemology, supported by Design Science Research (DSR) and Capability Maturity Model Integration (CMMI). The methodology involves iterative development, from problem identification to creating a practical solution for assessing SMEs' digital maturity and guiding digitalization efforts.FindingsDMAM offers a clear and specific methodology, distinguishing itself by addressing the unique needs of SMEs, particularly resource-dependent ones. The model’s development fills critical gaps in existing literature and provides a practical artifact for SMEs' digitalization.Originality/valueDMAM is original in its focus on the specific needs of resource-dependent SMEs, offering actionable recommendations and addressing shortcomings in existing models. It serves as a foundational framework for SMEs' digital transformation, making a significant contribution to the digital maturity assessment literature.

Calibration and Modeling of the Semmes-Weinstein Monofilament for Diabetic Foot Management.

Diabetic foot is a serious complication that poses significant risks for diabetic patients. The resulting reduction in protective sensitivity in the plantar region requires early detection to prevent ulceration and ultimately amputation. The primary method employed for evaluating this sensitivity loss is the 10 gf Semmes-Weinstein monofilament test, commonly used as a first-line procedure. However, the lack of calibration in existing devices often introduces decision errors due to unreliable feedback. In this article, the mechanical behavior of a monofilament was analytically modeled, seeking to promote awareness of the impact of different factors on clinical decisions. Furthermore, a new device for the automation of the metrological evaluation of the monofilament is described. Specific testing methodologies, used for the proposed equipment, are also described, creating a solid base for the establishment of future calibration guidelines. The obtained results showed that the tested monofilaments had a very high error compared to the 10 gf declared by the manufacturers. To improve the precision and reliability of assessing the sensitivity loss, the frequent metrological calibration of the monofilament is crucial. The integration of automated verification, simulation capabilities, and precise measurements shows great promise for diabetic patients, reducing the likelihood of adverse outcomes.

성리학의 中和論辨에서 보이는 불교의 영향과 변용: 朱熹의 中和新說 修養論 구축 과정을 중심으로

The purpose of this study was to examine the Buddhist influence seen in the process of establishing Neo-Confucianism and the transformation of such influence by overcoming or reinterpreting it in a Confucian way. First, the Dao nan[道南] school believed that humans wanted to seek Li[理] from within, and that seeking was possible during Wei fa[未發]. Accordingly, the Dao nan[道南] school spoke of Mo zuo cheng xin[默坐澄心] for the purpose of Wei fa qiu zhong[未發求中]·Wei fa ti ren[未發體認]. The characteristics of the Dao nan[道南] school, such as its desire to seek Li[理] and its specific methodology of sitting and practicing, clearly appear to be influenced by Zen Buddhism. Zhu xi[朱熹] believed that one cannot directly seek one's Xing li[性理] within a human being. In the criticism of Dao nan[道南] school, it was considered impossible to seek Zhong[中] during Wei fa[未發] because it was already Yi fa[已發] in itself. And, trying to discover Xing li[性理] in Yi fa cha shi[已發察識], it was believed that Xing li[性理] could not be grasped because the previous cultivation study was lacking. Accordingly, Zhu xi[朱熹] tried to seek Li[理] from work and things, not from within humans. Zhu Xi also emphasized internal studies, such as Wei fa han yang [未發涵養], in addition to submaterial studies such as Ge wu qiong li [格物窮理]. Wei fa han yang [未發涵養] mentioned here was different from the enlightenment through internal practice mentioned in Zen Buddhism. As mentioned earlier, Zhu xi [朱熹] believed that it was impossible to directly seek one's inner Li [理]. This is because Li[理] is in the state of Wei fa[未發], but the object sought is already Wei fa[已發]. Accordingly, the internal study methodology mentioned by Zhu Xi [朱熹] is cultivation study. The cultivation referred to here is one whose purpose is not to seek, but to protect. To summarize, Zhu xi [朱熹] completed his Zhong he xin shuo [中和新說] theory of cultivation based on the principle of seeking Li [理] below the form and only protecting the inner Li [理]. The process of completing Zhong he xin shuo [中和新說] as above appears to be the result of Zhu xi [朱熹]'s concerns to overcome the Buddhist practice theory seen in the previous Li xue [理學] schools.

Teachers’ strategies and challenges in conducting HOTS-based activities in Merdeka Curriculum era

This study investigated the approach used by English teachers to promote Higher-Order Thinking Skills (HOTS) during the learning process. The Indonesian government, specifically the Ministry of Education and Culture, has taken the lead in implementing the Merdeka Curriculum, a curriculum designed to prepare students for the 5.0 era of society. The objective of this curriculum is to develop students who have the Profil Pelajar Pancasila, equipping them with the ability to use their knowledge and abilities effectively in practical circumstances. To achieve this, teachers must employ specific methodologies that enhance students' critical thinking abilities. focused on thirteen English senior high school teachers in Pekalongan Regency, with two selected for interviews and observations. Data were collected through a questionnaire, interviews, and direct observation. The data analysis involved quantifying the questionnaire responses, evaluating the open-ended questionnaire responses, and reviewing the transcripts from the interviews and classroom observation notes. Thematic analysis was used to interpret the data from interviews and classroom observation, while coding was employed to extract the transcripts and observation notes. The study revealed that the strategies used by Merdeka Curriculum teachers were project-based learning and open-ended questioning. However, some teachers faced challenges in implementing these strategies in English classes, such as students' skill levels, teachers' expertise, and negative perceptions.

A Review of Methods of Generating Incremental Capacity–Differential Voltage Curves for Battery Health Determination

Incremental capacity–differential voltage is a powerful tool for transforming raw voltage data from battery cycling data into curves with distinguishable peaks and valleys. These peaks and valleys have been claimed as useful health features in the literature for providing non-invasive, comprehensive insights into a battery’s health and age. Although extensive studies exist on this topic, no standardized approach for generating these curves has been established. This paper analyzes various calculation methodologies and different post-processing filters employed in the literature. These methods are validated using three datasets: two publicly available datasets from Oxford University and a publication from Nature, along with a dataset collected from Loughborough University. The findings highlight the effectiveness of specific calculation methodologies and filters through the differences in the curves produced. Based on the results and analysis, a recommended operational procedure for generating incremental capacity curves is proposed. This standardized procedure aims to enhance the reliability and consistency of producing incremental capacity curves for state-of-health assessments for batteries.

Characterization and Agronomic Evaluation of 25 Accessions of Chenopodium quinoa in the Peruvian Coastal Desert

Quinoa is a healthy food that possesses high levels of protein that is enriched for dietary essential amino acids. The crop is highly diverse and well-adapted to changing climatic conditions. In spite of being vulnerable to pests and diseases, the development of new resistant varieties is possible. Taking advantage of this genetic variability is crucial for breeding programs, especially to adapt quinoa to the shifting needs of producers. In this study, 25 Peruvian accessions and two commercial varieties were characterized and agronomically evaluated in the Peruvian Pacific desert. Specific methodologies and descriptors of existing crops were used, analyzing a total of 24 quantitative and 23 qualitative variables with 15 repetitions per accession. The data were processed using descriptive statistics and a multivariate analysis. The results showed a high variability in morphological characteristics, with an area under the disease progress curve (AUDPC) of the presence of mildew between 529 and 1725, highlighting ACC06 with a lower severity of mildew. The percentage of saponins varied between 0.04 and 0.21 percent, with ACC06 being the one with the lowest percentage. Regarding the crop yield, it ranged between 0.35 and 8.80 t ha−1, highlighting the high-yielding accessions ACC55 and ACC14. These results were promising for the improvement of quinoa yield in the production conditions of the Peruvian Pacific desert.

Synchrotron Micro-X-ray Diffraction in Transmission Geometry: A New Approach to Study Polychrome Stratigraphies in Cultural Heritage

In cultural heritage, paint stratigraphies are complex systems typically consisting of various paint layers with fine crystalline phases mixed with coarse pigment and filler grains. This complexity poses significant challenges for X-ray diffraction (XRD) analysis. In this work, we employed synchrotron radiation micro-X-ray diffraction in transmission geometry (SR-µTXRD) with linear mapping to develop a novel approach for studying the crystalline phases (pigments and fillers) in mock-up paint stratigraphies. A targeted approach was followed for qualitative, quantitative, and microstructural analysis, combining signals from micrometric crystallites and coarse single crystals as well as from randomly oriented and iso-oriented crystalline phases. This allows for identifying, localizing, and quantifying these phases even in low fractions and distinguishes the same phases across different layers with varying grain sizes or spatial orientations. Critical analysis of 2D XRD patterns, coupled with full-profile fitting performed by the Rietveld method, provides insights into material preparation (e.g., grinding), painting technique (e.g., color palette, use of fillers, brushing), and crystallo-chemical modifications over time. This analytical approach, integrating spatially resolved investigation with high-quality phase characterization, enhances the potential of specific XRD methodologies for a 2D investigation of multi-phase materials in cultural heritage, even without dedicated micro-mapping techniques.

Characterization of pristine and aged NMC lithium-ion battery thermal runaway using ARC experiments coupled with optical techniques

Battery thermal runaway (TR) challenges battery applications due to safety considerations, potentially endangering consumers. Understanding the process is crucial to defining first alarm strategies that indicate the risk of TR and designing systems to mitigate this problem. For this reason, the present paper aims to characterise key variables of the venting and thermal runaway processes. Experimental tests were conducted in an accelerating rate calorimeter (ARC) using the heat wait seek (HWS) protocol, which tracks the battery temperature after detecting an exothermic reaction during the seek period. The maximum temperature rise rate and peak temperature that the calorimeter can achieve are 15 °C/min and 300 °C. Two optical accesses in the ARC were modified to use optical techniques such as Schlieren double pass and infrared. The results cover 3 different cell conditions: Pristine cells at state of charge (SOC) 100 %, pristine cells at SOC 50 %, and aged cells at SOC 100 %. For statical purposes, each cell condition was repeated 5 times. The aged battery was cycled to boost solid electrolyte interface growth. The images obtained were post-processed, with a specific methodology for each optical technique, and according to the parameters intended to be obtained. The main result shows that for higher SOC, the exothermic reaction is detected earlier than for SOC 50 %, which was only detected in an advanced TR stage (higher temperature rise rate). Therefore, the battery system capability to detect plays a crucial role in safety. Safety actuation time is reduced by ∼ 40 % for SOC 50 %. However, the energy to manage during this situation is lower (∼42 %), depending on the mass inside the battery, revealing the importance of a good venting cap design. Infrared images have shown higher particle temperatures for higher SOC, about 150 °C higher than the SOC 50 %. The particle velocity, in this case, achieved 30 m/s.

Gestión de factores de riesgo psicosocial: estudio de caso en una mediana empresa salvadoreña

Psychosocial risk factors are anything in the design or management of work that increases the risk of work-related stress. Their assessment is legally required in Salvadoran companies, nevertheless, the legislation itself lacks a specific methodology to comply with such requirements. In 2020, the Spanish National Institute of Health and Safety at Work (INSST) published a methodology to assist Micro and Small Enterprises in managing these factors that can also be used for larger companies. This article presents a case study in a medium-sized advertising Salvadoran company, where this methodology was applied in positions of its production department. The information required for its application was obtained through consultation with workers along with the review of their job descriptors and direct observation of work. The results indicate that all the jobs analyzed have psychosocial factors in adverse conditions. The most predominant ones were associated with autonomy, work pace, time and emotional demands, all with a medium level of importance. It was identified that taking on orders with short delivery deadlines modified the planning and extension of working hours, contributing to the situation observed. Based on this information, various measures were suggested, such as conducting capability and workload studies along with improving planning visibility. Given that the methodology facilitated the management of psychosocial factors, was easy to use and had a participatory approach, the experience of this research suggests that it can be an alternative for other micro, small and medium-sized Salvadoran companies to respond to regulatory requirements, ensuring the welfare of workers. Realidad Empresarial No. 18, 2024: 76-95.

A proposal for a comprehensive protocol to develop and provide user-tailored assistive technology

BACKGROUND: Various models, frameworks, and systems have been established to support persons with disabilities in accessing assistive technology (AT). This paper highlights the commonalities and complementary aspects of these resources for the optimal selection of the most appropriate AT for a particular user. The selection process considers the user characteristics, abilities, needs, and environment. However, it does not provide a specific methodology for tailoring this technology to individual users. OBJECTIVE: This study reports on the experience of an interdisciplinary team formed in 2001 to develop user-tailored AT. The team established a systematic methodology, detailed as a step-by-step protocol. METHODS: A survey was conducted to validate the protocol’s effectiveness and assess the impact of user-tailored AT. Participants included users and stakeholders. Quantitative data were requested and complemented with qualitative information. RESULTS: Eighty-one participants were involved, with 92.6% reliant on augmentative and alternative communication (AAC) systems. A user-tailored AT was developed for this cohort, with a sustained usage rate of 56.4%. Quantitative analysis revealed a 40% reduction in reported difficulties, and Individually Prioritized Problem Assessment (IPPA) scores demonstrated a corresponding 40% improvement in overall effectiveness. The qualitative data corroborated these findings, highlighting positive user feedback and underlining the significance of family support and interdisciplinary collaboration. CONCLUSIONS: The proposed methodology offers a step-by-step protocol that complements current models and frameworks and aims to guide individuals and teams that develop user-tailored AT for persons with disabilities. Additionaly, this study reflects the importance of applying user-tailored AT to improve the quality of life of persons with disabilities.

Assessment of the skin contamination dose coefficients for 252Cf radionuclide: Monte Carlo approach

Handling the 252Cf radionuclide source poses a potential hazard of skin surface contamination in case of an unexpected occurrence. Consequently, there is a growing need to establish precise dose conversion coefficients tailored to each type of emitted primary particle and various radionuclides. Nevertheless, the current body of literature does not provide specific data or methodologies for evaluating skin contamination dose and its associated coefficients, particularly with regard to the 252Cf source. Thus, this study aims to quantify the dose rate received by the skin and its associated coefficients after contamination scenario. Utilizing the established MCNPX environment, the Equivalent dose rate and Absorbed dose, along with Skin contamination dose coefficient (SCDC), have been calculated within the skin tissue. Two methodologies, specifically Watt Fission distribution and the Doppler Effect, are proposed to analyze particle spectra within skin phantom, enabling the calculation of Equivalent dose rate. In accordance with ICRP recommendations regarding the optimal depth for assessing skin doses, the designated scoring volume within the skin is located between depths of 50–100 μm. This volume is tasked with evaluating the dose. The SCDC results were entirely consistent with previously published data from MCNPX, with statistical uncertainties of less than 15%, demonstrating the efficacy of the methodologies employed in this study. This research presents an innovative method for generating data related to skin contamination doses. The novel outcomes in the current research facilitate the assessment of skin dose contamination for the targeted radionuclides and radiotherapy purposes due to staff oversight and radiobiological effects.