Methodological Approach Research Articles

Using modified Fenn diagrams to assess ventilatory acclimatization during ascent to high altitude: Effect of acetazolamide.

High altitude (HA) ascent imposes systemic hypoxia and associated risk of acute mountain sickness. Acute hypoxia elicits a hypoxic ventilatory response (HVR), which is augmented with chronic HA exposure (i.e., ventilatory acclimatization; VA). However, laboratory-based HVR tests lack portability and feasibility in field studies. As an alternative, we aimed to characterize area under the curve (AUC) calculations on Fenn diagrams, modified by plotting portable measurements of end-tidal carbon dioxide ( ) against peripheral oxygen saturation ( ) to characterize and quantify VA during incremental ascent to HA (n=46). Secondarily, these participants were compared with a separate group following the identical ascent profile whilst self-administering a prophylactic oral dose of acetazolamide (Az; 125mg BID; n=20) during ascent. First, morning and measurements were collected on 46 acetazolamide-free (NAz) lowland participants during an incremental ascent over 10days to 5160m in the Nepal Himalaya. AUC was calculated from individually constructed Fenn diagrams, with a trichotomized split on ranked values characterizing the smallest, medium, and largest magnitudes of AUC, representing high (n=15), moderate (n=16), and low (n=15) degrees of acclimatization. After characterizing the range of response magnitudes, we further demonstrated that AUC magnitudes were significantly smaller in the Az group compared to the NAz group (P=0.0021), suggesting improved VA. These results suggest that calculating AUC on modified Fenn diagrams has utility in assessing VA in large groups of trekkers during incremental ascent to HA, due to the associated portability and congruency with known physiology, although this novel analytical method requires further validation in controlled experiments. HIGHLIGHTS: What is the central question of this study? What are the characteristics of a novel methodological approach to assess ventilatory acclimatization (VA) with incremental ascent to high altitude (HA)? What is the main finding and its importance? Area under the curve (AUC) magnitudes calculated from modified Fenn diagrams were significantly smaller in trekkers taking an oral prophylactic dose of acetazolamide compared to an acetazolamide-free group, suggesting improved VA. During incremental HA ascent, quantifying AUC using modified Fenn diagrams is feasible to assess VA in large groups of trekkers with ascent, although this novel analytical method requires further validation in controlled experiments.

A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction.

Error analysis plays a crucial role in clinical concept extraction, a fundamental subtask within clinical natural language processing (NLP). The process typically involves a manual review of error types, such as contextual and linguistic factors contributing to their occurrence, and the identification of underlying causes to refine the NLP model and improve its performance. Conducting error analysis can be complex, requiring a combination of NLP expertise and domain-specific knowledge. Due to the high heterogeneity of electronic health record (EHR) settings across different institutions, challenges may arise when attempting to standardize and reproduce the error analysis process. This study aims to facilitate a collaborative effort to establish common definitions and taxonomies for capturing diverse error types, fostering community consensus on error analysis for clinical concept extraction tasks. We iteratively developed and evaluated an error taxonomy based on existing literature, standards, real-world data, multisite case evaluations, and community feedback. The finalized taxonomy was released in both .dtd and .owl formats at the Open Health Natural Language Processing Consortium. The taxonomy is compatible with several different open-source annotation tools, including MAE, Brat, and MedTator. The resulting error taxonomy comprises 43 distinct error classes, organized into 6 error dimensions and 4 properties, including model type (symbolic and statistical machine learning), evaluation subject (model and human), evaluation level (patient, document, sentence, and concept), and annotation examples. Internal and external evaluations revealed strong variations in error types across methodological approaches, tasks, and EHR settings. Key points emerged from community feedback, including the need to enhancing clarity, generalizability, and usability of the taxonomy, along with dissemination strategies. The proposed taxonomy can facilitate the acceleration and standardization of the error analysis process in multi-site settings, thus improving the provenance, interpretability, and portability of NLP models. Future researchers could explore the potential direction of developing automated or semi-automated methods to assist in the classification and standardization of error analysis.

Neuropsychological mechanisms of observational learning in human placebo effects.

Scientific evidence indicates that placebo effects are psychoneurobiological events involving the contribution of distinct central nervous systems and peripheral physiological mechanisms that influence pain perception and other symptoms. Placebo effects can occur without formal conditioning and direct prior experience because crucial information can be acquired through observational learning. Observation of benefits in another person results in placebo effects of a magnitude like those induced by directly experiencing an analgesic benefit. Understanding the psychological mechanisms of observationally induced placebo effects is a complex and multifaceted endeavor. While previous reviews have highlighted various frameworks and models to understand these phenomena, the underlying biological mechanisms have been overlooked. We summarize critically current understanding of its behavioral and neural mechanisms. Understanding the neural mechanisms of hypoalgesia driven by observation can serve as a foundation for future development of novel theoretical and methodological approaches and ultimately, applications.

A credence-based theory-heavy approach to non-human consciousness

Many different methodological approaches have been proposed to infer the presence of consciousness in non-human systems. In this paper, a version of the theory-heavy approach is defended. Theory-heavy approaches rely heavily on considerations from theories of consciousness to make inferences about non-human consciousness. Recently, the theory-heavy approach has been critiqued in the form of Birch’s (Noûs 56(1):133–153, 2022) dilemma of demandingness and Shevlin’s (Mind Lang 36(2):297–314, 2021) specificity problem. However, both challenges implicitly assume an inapt characterization of the theory-heavy approach. I argue that an alternative characterization of the approach, what I call a credence-based theory-heavy approach, avoids these challenges. Theorists can generate interpretations of their theory, at different levels of generality, and operationalize these into theory-informed markers. These theory-informed markers are assigned a likelihood and are used to assess the probability that a target system is conscious. In providing this characterization, and mapping out the possible ways in which a credence-based theory-heavy approach can be fleshed out, the aim is to situate the theory-heavy approach as a more compelling approach than it is currently being perceived as. Our attention, then, needs to shift towards remaining challenges such as the consensus problem and the problem of calibrating the likelihoods associated with theory-informed markers. I also explore methodological pluralism and assess how the credence-based theory-heavy approach can benefit from other methodological approaches.

Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: Insights using a novel nickel-strontium-zirconium-aluminum catalyst

This study investigates the molecular dynamics of methane dry reforming catalyzed by a novel nickel-strontium-zirconium-aluminum (5Ni+3Sr/10Zr+Al) catalyst, leveraging both Response Surface Methodology (RSM) and Radial Basis Function Neural Network (RBFNN) for predictive optimization. Focusing on the impact of operational parameters—hourly space velocity, reaction temperature, and CO2:CH4 mole ratio—on the conversion rates and formation of reaction components, we aim to predict optimal conditions and corresponding process variables. Through a comparison of a three-layer Feed Forward Neural Network, optimized at a 3:10:1 topology, with traditional RSM approaches, our findings highlight the superior predictive capabilities of ANN models. Notably, ANN demonstrated exceptional performance with Radj2and F_Ratio values significantly surpass those of RSM, alongside lower statistical error terms. This superiority is attributed to ANN's robust handling of nonlinear relationships between inputs and outputs, asserting its potential for enhancing predictive accuracy in chemical process optimization. At optimum predicted conditions like 1 CH4/CO2,750 °C reaction temperature, 12000 cm3g−1h−1 space velocity, NiSrZrAl outperformed with > 85 % CH4 and CO2 conversion with H2/CO ∼1 up to 20 h time on stream. Our research underscores the importance of integrating advanced modeling techniques for the efficient and accurate prediction of catalytic reactions, offering valuable insights for future applications in chemical engineering and catalysis.

Lost, mislabeled, and mishandled surgical and clinical pathology specimens: A systematic review of published literature.

To perform a systematic review of published academic literature related to lost, mislabeled, and mishandled surgical and clinical pathology specimens during the preanalytical stage. The authors used Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines to search PubMed, MEDLINE, Web of Science, and Scopus for relevant articles published from January 1, 1990, to May 1, 2023. The authors screened 1313 articles and identified 44 peer-reviewed, English-language articles published between 1990 and 2021 for inclusion in the final systematic review. Most articles (n = 36) reported results from US-based facilities. Articles primarily focused on general clinical and general surgical pathology. Analysis of the articles revealed that articles reported a range of methodological approaches, including incident reports, implementation analyses, case studies, and commentary recommendations. Most articles focused on mislabeling errors (61.3%) and missing or lost specimens (18.2%), while several articles combined specimen errors (20.5%). Several implementation studies (22.7%) reported using multiple interventions to mitigate errors. Implementation efforts reported between 70% and 100% reduction in pathology errors. The review highlights the limited research on the topic, with an average of 2 articles per year discussing lost, mislabeled, or mishandled specimens. Intervention studies addressed The Joint Commission's patient safety goals for laboratory practice. More research is needed about error incidents and reporting in non-Western countries to gain a more global perspective on the topic.

An efficient methodological approach for synthesis of selenopyridines: generation, reactions, anticancer activity, EGFR inhibitory activity and molecular docking studies.

In the present work, we successfully synthesized Se-alkyl selenopyridines 1 and 3, selenopheno[2,3-b]pyridine 2, and bis-selenopyridine 4 derivatives using an eco-friendly method by utilizing NaHSe instead of toxic hydrogen selenide. The effect of the temperature on the reaction was screening at various temperatures. The regiospecific reaction of selenopyridine 1 with bromine afforded an unexpected product 4,6-diamino-5-bromo-2-[(cyanomethyl)selenyl]-pyridine-3-carbonitrile (5), which was cyclized to selenopheno[2,3-b]pyridine (7) by refluxing in the presence of TEA. While its treatment with thiophenol and/or p-chlorothiophenol gave 8a, b. On the other hand, its reaction with aminothiophenol afforded 2-(benzo[d]-thiazol-2-yl)-5-bromoselenopheno[2,3-b]pyridine-3,4,6-triamine (9). Also, N-(2-cyano-4-methyl-5H-1-seleno-3,5,8-triazaacenaphthylen-7-yl)acetamide (11) and a novel series of selenoazo dyes 12a-d were synthesized by treatment of selenopheno[2,3-b]pyridine 2 with acetic anhydride and/or diazonium chlorides of aromatic amines, respectively. Then, we ascertained the potential activity of synthesized compounds against highly metastatic prostate cancer cells (PC-3) and osteosarcoma cells (MG-63) and found that 12a, 12b, 12c, and 12d were more cytotoxic than doxorubicin in both tested cell lines, showing nearly the same anticancer activity with IC50 values ranging from 2.59 ± 0.02µM to 3.93 ± 0.23µM. Mechanistically, the most potent compounds 12a and 12b proved to be potent EGFR inhibitors with IC50 values of 0.301 and 0.123µM, respectively, compared to lapatinib as a positive reference (IC50 = 0.049µM). Moreover, the docking results are in good agreement with the anticancer activity as well as the EGFR inhibitory activity, suggesting these two compounds as promising EGFR anticancer candidates.

GreenR: An open-source framework for quantifying urban greenness

How do we quantify the levels of greenness within urban street networks? Numerous attempts to quantify this factor have been made through survey methodologies, remote sensing data, and street view imagery. The results are promising, but are often limited by scalability constraints, including limited data availability, high requirements of computational power, and validation challenges. This study introduces a comprehensive framework for urban greenness assessment, leveraging open-source data to overcome these limitations. Central to this framework is the development of the greenR R package and an accompanying Shiny app, designed to compute, visualize, and analyze a novel proximity-based green index for individual street segments. Beyond this, the framework innovatively extends its analytical capability by integrating accessibility analysis, Green View Index quantification as well as introducing the Green Space Similarity Index, a novel metric that evaluates and compares the characteristics of urban green spaces across different regions. This extension enriches the proposed framework, providing not just a measure of proximity to green spaces, but also insights into their spatial connectivity and distribution. The efficacy of greenR is demonstrated by studying urban greenness patterns across several cities, highlighting the potential impact of such an open-source framework for citizens, urban planners, and policy-makers. This study not only advances our methodological approach to quantifying urban greenness but also provides practical tools and metrics that can inform sustainable urban planning and policy decisions.

A Response Surface Methodological Approach for Large-Scale Production of Antibacterials from Lactiplantibacillus plantarum with Potential Utility against Foodborne and Orthopedic Infections

A Response Surface Methodological Approach for Large-Scale Production of Antibacterials from Lactiplantibacillus plantarum with Potential Utility against Foodborne and Orthopedic Infections

SINO-US STRATEGIC COMPETITION IN THE INDO-PACIFIC: EXPLORING RESPONSES FROM MALAYSIA AND INDONESIA

The Indo-Pacific region has emerged as a significant global focal point due to the increasing influence exerted by China and the UnitedStates. In light of the dynamic nature of the global geopolitical landscape, Malaysia and Indonesia, as two prominent Southeast Asianstates, find themselves at the nexus of this competition. China and the United States are two regional superpowers which have strategically positioned themselves in the Indo-Pacific. A systematic literature review was conducted to examine the crucial role of Indonesia and Malaysia in the context of the escalating Sino-US strategic competition in the Indo-Pacific region. By focusing on research articles, books and reports, this work explored the policy and strategic outlook, methodological approaches and methods underpinning Indo-Pacific discourse in Indonesia and Malaysia. The methodology adopted for this review was systematic by following the seven stages suggested by Petticrew and Roberts (2008). This review’s findings indicated the diverse range of theories, methodologies, practical strategies, and approaches that scholars have employed in examining the roles of Indonesia and Malaysia in the Indo-Pacific region. Consequently, this paper broadens the scope for scholars by expounding upon the strategic outlook of Indonesia and Malaysia within the Indo-Pacific discourse, along with the various methodological and theoretical frameworks and conceptual models that may inform future research endeavours. This study was however, limited to gathering input from journal articles, books, book chapters, and reports, and excluding other sources such as conference papers and op-eds. Furthermore, thescope of studies accessed was limited to data available from 2013 to September 2023.

Current challenges in ethics and accountability in financial auditing

In today's complex business landscape, characterized by technological advances and e-commerce, ethics and accountability in financial auditing are essential to safeguard the integrity of accounting information. This study set out to examine the impact of contemporary challenges, those associated with technological evolution and online commerce, on ethics and accountability in financial auditing. A methodological approach involving literature review and case study analysis was used. The findings reveal that technological sophistication and globalization have exacerbated the relevance of ethics and responsibility in financial auditing. The need for continuous adaptation, preservation of independence and conscious implementation of emerging technologies is highlighted. In conclusion, auditors must be prepared to face ethical and technical challenges in a dynamic business environment to ensure the reliability and veracity of financial auditing.

Risk assessment in performance auditing: a review of approaches and methods

Performance auditing has evolved over time from a focus on error and fraud detection to a more comprehensive and strategic approach. The main objective of this study was to analyze and compare traditional and modern approaches to performance auditing. A non-experimental and qualitative methodological approach was used, based on a documentary review of indexed academic sources. The results revealed a significant transition in auditing practices, with the modern approach oriented towards continuous improvement and risk anticipation. The importance of adopting advanced technologies, such as artificial intelligence, to improve audit efficiency and effectiveness was highlighted. In conclusion, performance auditing plays a conclusive role in process improvement and informed decision making, contributing to the achievement of organizational objectives and the maintenance of high standards of performance and transparency.

INTERDISCIPLINARY DICTIONARY: MEETING OF HUMAN PHILOSOPHY AND CULTURE WITH PSYCHOLOGY

Relevance. The authors present the encyclopedic edition of 2022 - an interdisciplinary dictionary that intersects research fields and methodological approaches of a number of humanities. In this case, such sciences are philosophical anthropology, philosophy of culture and cultural studies, as well as psychology. Methodology. The basic heuristics of the categorical analysis of the concepts and philosophical practices presented in the dictionary is the author's original metaanthropological approach, which involves a level interpretation of the phenomenology of existing and new terms and techniques of working with the client. Among the main ones, the dictionary includes such terms as "psyche", "psychoanalysis", "philosophical psychoanalysis", "androgynous analysis", "philosophical art therapy", "aphorism therapy", etc. Results. In the context of psychological understanding, the reader may be most interested in dictionary articles devoted to philosophical psychoanalysis and androgynous analysis. The term "philosophical psychoanalysis" describes the modern domestic direction of psychoanalysis, which developed thanks to the efforts of the authors based on the original methodology of philosophical anthropology as meta anthropology. Its essence consists in the specialist's organization during psychotherapeutic work of a special psycho developmental practice of a consistent transition of the client from the everyday worldview to the personal one and further - from the personal one to the philosophical one, which actualizes constructive material changes in a person. From the standpoint of metaanthropological vision, the text also presents the understanding of human immortality and beauty and the practice of androgynous analysis. Androgynous analysis (from the Greek Andros – man, gin – woman) is the theory and practice of research and deep correction of the existence of the individual and relationships between people through the use of the strategy of interaction of the existential dimensions of masculinity and femininity as spirituality and spirituality.

Effect of Bleaching Agents on Healthy Enamel, White Spots, and Carious Lesions: A Systematic Review and Meta-Analysis

This systematic review examines studies focusing on tooth bleaching and its effects on healthy enamel or incipient caries and bacterial adhesion. The aim is to explore the impact of different bleaching agents on incipient caries lesions and healthy enamel. Clinical studies, in vitro studies, and observational studies that compared at least two groups were included. A search strategy was used to select studies from the MEDLINE via Pubmed and Scopus databases. Two evaluators performed data extraction, screening, and quality assessment independently. Only studies written in English were included. From 968 initial records, 28 studies were selected for a full-text evaluation. Of these, 7 studies were classified as cluster 1 (bacterial adherence on teeth), 12 studies as cluster 2 (no bacteria involved), 4 studies as cluster 3 (no teeth deployment), and 5 clinical studies were cluster 4. Of the selected studies, 6 (21.4%) supported increased bacterial attachment capacity and cariogenic dynamics, 4 (14.3%) decreased adhesion and cariogenic activity, 7 (25%) showed no difference, and 11 (39.3%) followed a different methodological approach and could not be categorized. The risk of bias appeared to be high, mainly because of the different methodologies in the studies, so we cannot reach a confident conclusion. Nevertheless, as far as carbamide peroxide bleaching is concerned, there does not seem to be a clinically significant alteration, neither in microorganism counts nor in enamel microstructure.

The Role of Value Orientations of High School Students in the Process of Choosing a Professional Activity

This article delves into the intricate details of research that focuses on analyzing specific aspects of value orientation in the process of high school students determining their future professional paths. The study delves into the essence of self-determination in the professional realm, identifies the problem, offers solutions, and pinpoints factors for successful implementation. It underscores the crucial role of a complex value orientation in personality development and individuality formation. An individual's attitude towards themselves, the world, and the future, including their career, is reflected through priorities and values. These value orientations can serve as a dependable guide for high school students when making successful professional choices. The conducted research supports the hypothesis that value orientation is an essential factor in shaping a mature personality. Value orientation plays a pivotal role in making informed decisions about future careers. Labor value orientations are particularly important and can serve as a solid foundation for high school students as they navigate their professional paths.The purpose of this study is to study the influence of Labor value orientation on the process of professional self-determination of modern high school students.To achieve the purpose of the research, various methodological approaches are used, including systemic, socio-psychological and axiological approaches oriented on the humanist principle. Various methods have been used to conduct research, including theoretical analysis of scientific research, organizational approaches, and empirical methods such as observation, questionnaires, and psychodiagnostic methods.This article conducted a bibliometric analysis of the problem, as well as empirical research. Thanks to the experiment carried out, it turned out that most of the high school students surveyed suffer from a certain anxiety that prevents them from choosing professional preferences that correspond to their abilities, desires and needs.

The economic impacts of information and communication technologies in the tourism and hospitality industry: A systematic review of the literature

Recognizing the pivotal role of information and communication technologies (ICTs) in generating economic benefits within the tourism and hospitality industry, this research aimed to develop a comprehensive understanding of the economic impacts of ICTs through a systematic review of the literature published on this topic since 2000. Synthesizing the information shared in 60 articles, this research presents the methodological approaches and identifies that the economic impacts of ICTs can be categorized into performance (financial and operational), operational efficiency (e.g., cost reduction and operation time saving), and market (e.g., popularity and reputation). Furthermore, this research discusses potential directions for future studies examining the economic impacts of ICTs. The present research contributes to the literature by synthesizing knowledge on the economic impacts of ICTs in the tourism and hospitality industry. The findings also serve as a valuable reference for industry practitioners seeking to navigate the extensive body of knowledge in this field.

Civil Conflict’s Impact on the Pursuit of Inclusivity, Safety, Resilience and Sustainability in Anglophone Cities of Cameroon

AbstractCities are increasingly becoming sites where violence and conflict thrive. In the African continent, civil conflict has been rife, with cities not only being targets but also hosts to civil unrest. Since 2016, Anglophone (English-speaking) cities in Cameroon have been host to a civil conflict that has had devastating impacts on the socio-economic well-being of the Anglophone regions, impeding efforts to achieve sustainable development goal 11 (SDG 11), related to inclusivity, safety, resilience and sustainability in Anglophone cities. Moreover, the conflict has deepened the divide between the Anglophone and Francophone populations, making peaceful coexistence between them increasingly difficult. Utilising a content analysis methodological approach, this paper examines the Anglophone Cameroon civil conflict through the lens of urban sustainability, looking to unravel how the conflict has affected efforts towards pursuing SDG 11 in Anglophone cities. The paper argues that civil conflict has robbed Anglophone cities of the required ingredient of socio-economic and political stability necessary for SDG 11 to thrive, and unless the civil conflict is curbed and a stable peace attained, the pursuit of inclusivity, safety, resilience and sustainability in Anglophone cities would be a futile venture. This paper recommends the establishment of a comprehensive approach to resolve the conflict in a way that considers the root causes of the conflict, as well as measures to foster urban sustainability in Anglophone cities. When this is done, it would be more feasible to attain inclusivity, safety, resilience, and sustainability in Anglophone cities.

How social innovations emerge in a rigid regulatory context: the case of demand responsive transport in Switzerland

ABSTRACT Demand responsive transport (DRT) solutions may improve rural transport systems. These solutions often emerge as social innovations in rural areas. In Switzerland, their planning process is embedded in a rigid regulatory framework of the public transport system. The objective of this paper is to understand in which way the regulatory framework of the public transport system influences planning processes of a DRT solution in a rural setting. The methodological approach of social innovation biographies helps to examine the necessary planning steps to start mybuxi, a DRT in two Swiss rural municipalities. Our findings show that regulatory constraints dominate the final planning stage of the social innovation. Protections of current public transport regulations hinder federal offices from subsidizing the DRT, having direct implications on the financial sustainability of the system. The findings of this paper help actors to better address regulatory questions in the early stage of the respective innovation process.

A systematic literature review of research examining the impact of citizenship education on active citizenship outcomes

AbstractThis article reports on a systematic review of the evidence concerning the impact of citizenship education, specifically focusing on the effect of different teaching activities on a range of active citizenship outcomes. It provides a narrative synthesis of 109 articles in peer reviewed journals, representing a wide range of methodological approaches. The review was undertaken for a teacher audience and the research team identified four themes with practical implications. First, we discuss the significance of school ethos and distinguish between distinctive aspects of ethos in the literature including relationships between students and teachers, values and behaviours. Second, we explore some of the characteristics of successful projects, including detailed consideration of the type of projects selected for action by young people, the role of teachers, and the duration of projects. This discussion suggests that, whilst full project cycles (involving students identifying and researching areas for action and devising, implementing and reviewing action plans) are valuable, there is also evidence to suggest that short, partial projects may be easier to implement and still secure comparable benefits. Third, we consider the evidence about whether and how citizenship education can have some compensatory effect, closing the civic gap between different groups of young people. In the fourth theme we consider the wide range of teaching strategies which have been demonstrated to have some success in practice.Context and implicationsRationale for this studyThis literature review was undertaken on behalf of a teacher's organisation to consider the evidence base for citizenship education.Why the new findings matterThe review demonstrates the breadth of evidence for the positive impact of citizenship education and highlights several avenues for further exploration relating to school ethos, action projects and reducing inequalities.Implications for researchers and educational institutionsImplications for practice relate to the importance of how students perceive the ethos of the school as a whole, as well as their experiences when learning citizenship. This has specific implications for school leaders whose support is required to nurture a positive school ethos (beyond the formal curriculum). Implications for citizenship teachers include making use of short, partial active citizenship projects more routinely; and adopting strategies for closing the civic gap. Researchers are urged to move beyond large‐scale surveys to explore longitudinal studies in specific contexts to track impacts over time for different students.

MocapMe: DeepLabCut-Enhanced Neural Network for Enhanced Markerless Stability in Sit-to-Stand Motion Capture

This study examined the efficacy of an optimized DeepLabCut (DLC) model in motion capture, with a particular focus on the sit-to-stand (STS) movement, which is crucial for assessing the functional capacity in elderly and postoperative patients. This research uniquely compared the performance of this optimized DLC model, which was trained using ’filtered’ estimates from the widely used OpenPose (OP) model, thereby emphasizing computational effectiveness, motion-tracking precision, and enhanced stability in data capture. Utilizing a combination of smartphone-captured videos and specifically curated datasets, our methodological approach included data preparation, keypoint annotation, and extensive model training, with an emphasis on the flow of the optimized model. The findings demonstrate the superiority of the optimized DLC model in various aspects. It exhibited not only higher computational efficiency, with reduced processing times, but also greater precision and consistency in motion tracking thanks to the stability brought about by the meticulous selection of the OP data. This precision is vital for developing accurate biomechanical models for clinical interventions. Moreover, this study revealed that the optimized DLC maintained higher average confidence levels across datasets, indicating more reliable and accurate detection capabilities compared with standalone OP. The clinical relevance of these findings is profound. The optimized DLC model’s efficiency and enhanced point estimation stability make it an invaluable tool in rehabilitation monitoring and patient assessments, potentially streamlining clinical workflows. This study suggests future research directions, including integrating the optimized DLC model with virtual reality environments for enhanced patient engagement and leveraging its improved data quality for predictive analytics in healthcare. Overall, the optimized DLC model emerged as a transformative tool for biomechanical analysis and physical rehabilitation, promising to enhance the quality of patient care and healthcare delivery efficiency.