Methodological Approach Research Articles

The role of social-evaluative threat for cortisol profiles in response to psychosocial stress: A person-centered approach.

Heterogeneity in individuals' physiological stress responses is central to theories linking stress with vulnerability to disease. Although multiple cortisol profiles have been reported in response to acute psychological stress, most prior work focuses on a single, average pattern and relative deviations from it, such as greater or lesser response peaks or reactivity. The present aims were to identify cortisol stress response trajectory classes using a data-driven approach and test whether social-evaluative threat (SET), a reliable elicitor of cortisol, predicted a greater likelihood of membership in the more reactive profiles. Data were pooled from 13 acute laboratory stressor studies from two geographically distinct U.S. university communities. Participants included 1,258 adults ranging from 18 to 52 years (Mage = 20.5; 62% women; 38% men) with diverse racial/ethnic identities and socioeconomic statuses. Studies included a version of the Trier Social Stress Test and at least three salivary cortisol assessments. SET was tested in three ways: study conditions with evaluators present, perceptions of evaluation, and ratings of shame-related emotions. Latent group-based trajectory modeling was applied to identify cortisol response patterns that best fit the data. Results revealed five unique cortisol response profiles. Consistent with hypotheses, SET conditions, greater perceived evaluation, and greater shame-related emotions predicted membership in the most reactive response trajectories. The findings highlight the high degree of heterogeneity that characterizes cortisol stress response profiles, which has important implications for theories of stress and health and methodological approaches in future research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A new cryptic species in Behria (Asparagaceae, Brodiaeoideae), from the Baja California peninsula, Mexico

Behria is a genus of petaloid geophytes endemic to the Cape Region of Baja California Sur, Mexico. It belongs to the Milla clade within the subfamily Brodiaeoideae of the Asparagaceae family. Currently, Behria tenuiflora is the only recognized species within this genus. In our methodological approach, we considered two distinct floral morphotypes: Group A consists of populations found at lowland elevations (10–150 m), while Group B comprises plants growing at mid to high elevations (400–2060 m). The aim of our study was to investigate whether there are discernible morphological differences and correlations with climate variables between Behria Group A and Group B. To address this, we measured nine quantitative characters for 94 plants from seven populations of Behria tenuiflora. Our findings revealed statistically significant differences (P < 0.05) in pedicel length, perianth length, perianth base diameter, and perianth aperture diameter of the analyzed Behria groups. Based on these results, we propose the recognition of Behria leonis as a new species. Additionally, we provide a morphological key for distinguishing Behria and Bessera genera, along with illustrations, a distribution map, and photographs.

Exploring the role of service dogs for Canadian military Veterans experiencing suicidality

Abstract Despite ample anecdotal evidence, there are limited meaningful studies speaking to the important role of the human-animal bond (HAB) in reducing suicidality. However, research is increasingly showing the viability of service dogs (SDs) as a complementary approach for military Veterans suffering from post-traumatic stress disorder (PTSD) and substance use harms – two of the strongest indicators of suicidality across any population. An original, exploratory study completed in 2020 focused on how SDs supported Canadian Veterans living with PTSD and substance use concerns. From this work, a secondary analysis was then undertaken: 28 transcripts were examined through thematic analysis to explore the experiences of the Veterans who were identified as being at high risk for suicide to better understand how SDs may assist with their suicidality. Our methodological approach for the secondary analysis employed affective coding to discover how the social support system enabled by the SDs reduced experiences of loneliness and hopelessness, as well as symptoms of PTSD, depression, and substance use concerns that are commonly associated with suicidality. The SDs were reported by the Veterans as being a catalyst in reducing self-harm and suicidality, as the HAB provided a unique and necessary form of social support for Veterans that was distinct from what other human-human interactions could provide. While acknowledgement of how context specificity and the lived experience of each individual remains crucial for making sense of suicidality, the significant finding from this research has been the identification of the critical impact that SDs have in the lives of Veterans when it comes to preventing suicide. The SD has been explained as a bridge to improve Veterans’ overall quality of life and reduce markers commonly recognized as precursors to suicide – a finding that may be critical in helping reduce future suicide risk among military Veterans, and warrants further investigation.

Analysis of asset management difficulties observed in Brazilian firms: a study based on expert survey and fuzzy TOPSIS

PurposeThe purpose of this paper was to understand the difficulties related to asset management observed by experts in Brazilian organizations in light of the requirements outlined in the ISO 55001:2014 standard.Design/methodology/approachA survey was performed with asset management experts. The collected data were analyzed using frequency analysis, hierarchical cluster analysis and fuzzy technique for order preference by similarity to deal solution (TOPSIS).FindingsBased on data analysis, the most critical difficulties observed were related to managing and controlling the impact of changes in the company that affect asset management objectives; to the committing to and supporting the asset management system by the top management of the organization; to manage the processes for dealing with risks and opportunities for the asset management system and plans, and correcting failures in asset performance; and to plan and conduct actions in an integrated manner to identify and minimize adverse impacts associated with the asset management system, and afterwards verifying their effectiveness.Originality/valueThe findings of this study have important theoretical and practical contributions, since they indicate the most critical points observed in asset management in Brazil, which can be used as a source for future research and by professionals to prioritize difficulties in future planning and develop action plans to overcome them. The step-by-step methodological approach presented in this study provides professionals and researchers with a replicable method of identifying potential asset management difficulties in a given specific reality.

Using Response Surface Methodology Approach to Modeling and Optimization of the Combustion Process in Cement Kiln

AbstractIn this study, this process has been modeled and optimized using the design of experiment technique and response surface methodology (RSM). The RSM was employed to optimize the combustion process in the cement kiln. Kiln feed (X1 = 160–190 t h−1), fan speed (X2 = 840–870 rpm), kiln rotational speed (X3 = 2.8–3.4 rpm), kiln fuel rate (X4 = 3800–4150 L h−1), calciner fuel rate (X5 = 5700–6200 L h−1), pressure of kiln inlet (X6 = 98–102 Pa), and limestone saturation factor (LSF) (X7 = 94–95.8 %) as independent variables were investigated. The carbon monoxide and the kiln body temperature in RSM were considered as response variables. The absolute average error in the model predictions for the combustion process in the cement kiln, for the kiln body's temperature, is about 1.6 % and for carbon monoxide is about 15.5 %.

ASSESSMENT OF THE IMPLEMENTATION OF CROSS-INDUSTRY PERFORMANCE INDICATORS OF ENERGY SAVING PROGRAMS IN THE LIFE CYCLE OF BUILDINGS

This article is devoted to the study of the possibility of energy saving of buildings. The relevance of the article lies in the fact that the role of efficiency of energy saving programs is currently growing. The novelty of the research lies in the development of methodology and new approaches for the analysis of energy saving. The author suggests cross-industry indicators of strategic management of energy saving programs. They can provide analysis of a wide range of useful information to confirm the costs of investment, operation and efficiency of a project. Information modeling of buildings is used as the basis of the research in the article. Based on the analysis of scientific literature, the author has developed cross-sectoral indicators of strategic management of energy saving programs. The author proposes a calculation of energy saving taking into account such new indicators as indicators in terms of replacement cost, indicators of power losses, environmental impact, reliability indicators. A methodology for assessing the impact of energy management solutions and the use of key performance indicators is proposed. The methodology consists of a preparatory stage and a two-stage assessment. It can be used to quantify specific aspects or objectives of a project, such as economic feasibility, environmental impact, reliability and quality of electricity. In the study, the author used general scientific methods of systematization and classification of data, methods of statistical processing and generalization, logical, comparative and system analysis, as well as mathematical methods.

Unpacking the Nuances of Agenda-Setting in the Online Media Environment: An Hourly-Event Approach in the Context of Chinese Economic News

ABSTRACT The study of agenda-setting has faced considerable challenges in the digital age. Not only are the existing conceptualizations inadequate regarding the new features of online media outlets, but traditional analysis has also become insufficient to address the nuances of agenda-setting in the dynamic online media environment. In this study, we refined assumptions of reverse and intermedia agenda-setting theory, introduced the news events and hourly intervals approach, and considered economic news events in China as an appropriate theme. Our analysis showed that the few popular media played a gatekeeping role in the Chinese online media environment, and the average time interval in which agendas transferred across media and netizens was about 4 h. This study, thereby, advanced the understanding of agenda-setting dynamics in the digital society and showed directions for future agenda-setting research in terms of establishing more up-to-date conceptual assumptions and employing more nuanced methodological approaches.

Animating migration journeys from Colombia to Chile: expressing embodied experience through co-produced film

ABSTRACT This paper analyses the process of co-producing an animated film about the migration journeys of Colombian women resident in Antofagasta, Chile. It first establishes the relationship between feminist epistemologies and arts-based methodologies, which hinges on embodiment. It then turns to a detailed discussion of using film co-production as a research method for accessing and expressing embodied experiences of migration. This discussion highlights how moments of discomfort (Gokariksel, Hawkins, Neubert, and Smith, 2021) experienced by the researcher motivated the search for a more collaborative methodological approach that was better attuned to lived experience. This included striving towards more inclusive practices with respect to recruitment, anonymity, and confidentiality. Moments of discomfort also revealed how care and caring responsibilities are entangled with research, and how they gender possibilities of participation and production for community co-producers and artists, as well as for researchers. Finally, through discomfort, lessons were learned about the politics of representing experiences of migration, violence, and endurance, as well as joy. The paper concludes that, whilst by no means a panacea, collaborative arts-based research methods can offer an innovative toolset for exploring embodied experience and for navigating the relational and representational complexities attendant to research.

Towards High-Efficiency Buildings for Sustainable Energy Transition: Standardized Prefabricated Solutions for Roof Retrofitting

Enhancing energy efficiency in buildings plays a pivotal role in realizing the ambitious objective of achieving carbon neutrality by 2050, as outlined in the European Green Deal. Roofs represent the technical element most affected by energy phenomena related to heat transfer: in winter, roofing can lose up to 35% of heat, and the summer heat flux can even be higher. This paper provides a catalogue of optimized and sustainable solutions, with a specific focus on standardization and prefabrication principles, for enhancing the energy efficiency of the most prevalent types of roofs that characterize the national residential building heritage. The methodological approach that guided the research presented in this article was based on the identification and study of the most common roofings in the diverse national residential building heritage, followed by their classification according to their construction era. In the context of essential energy retrofitting of deteriorated residential building stock, 21 optimized standardized solutions have been identified. The outcome of performance evaluations of the proposed solutions allowed the implementation of a matrix that can be a valuable support for designers in selecting the most efficient precalculated and prefabricated solutions for the national residential building heritage based on energy performance and sustainability criteria.

A Review of Wrist Rehabilitation Robots and Highlights Needed for New Devices

Various conditions, including traffic accidents, sports injuries, and neurological disorders, can impair human wrist movements, underscoring the importance of effective rehabilitation methods. Robotic devices play a crucial role in this regard, particularly in wrist rehabilitation, given the complexity of the human wrist joint, which encompasses three degrees of freedom: flexion/extension, pronation/supination, and radial/ulnar deviation. This paper provides a comprehensive review of wrist rehabilitation devices, employing a methodological approach based on primary articles sourced from PubMed, ScienceDirect, Scopus, and IEEE, using the keywords “wrist rehabilitation robot” from 2007 onwards. The findings highlight a diverse array of wrist rehabilitation devices, systematically organized in a tabular format for enhanced comprehension. Serving as a valuable resource for researchers, this paper enables comparative analyses of robotic wrist rehabilitation devices across various attributes, offering insights into future advancements. Particularly noteworthy is the integration of serious games with simplified wrist rehabilitation devices, signaling a promising avenue for enhancing rehabilitation outcomes. These insights lay the groundwork for the development of new robotic wrist rehabilitation devices or to make improvements to existing prototypes incorporating a forward-looking approach to improve rehabilitation outcomes.

The European Union's Ecodesign Directive – Analysis of Carbon Footprint Assessment Methodology and Implications for Photovoltaic Module Manufacturers

With an increasing shift away from fossil fuels toward renewable energy sources within the European Union (EU), photovoltaics (PV) are projected to see substantial growth with estimates of nearly 600 GWp of capacity by 2030. As the use of PV technology continues to expand, the European Commission has introduced various policy instruments, enabling consumers to make informed choices. Among those, the Ecodesign directive 2009/125/EC sets a carbon footprint threshold as a minimum qualification for the European market to cut out the least sustainable PV modules. For this directive, the methodological guidelines for the complex carbon footprint calculation of PV modules are under development. To this end, this analysis compares the two methodologies, namely Electronic Product Environmental Assessment Tool (EPEAT) and the Ecodesign adaptation of Product Environmental Footprint Category Rules (PEFCR), emphasizing the implications of choosing one over the other for the PV industry. This study illustrates how varying parameters, like module lifetime, degradation rate, and purchased renewable electricity certificate allowance limit, stemming from the differing methodological approaches can influence the carbon footprint calculation. Apart from the strengths and weaknesses of each methodology, this article emphasizes the need for globally harmonized standards to ensure consistency in evaluating the carbon footprint of PV modules. The observations made in this study should be considered not just for Ecodesign directive but for any such market regulation policy like the recently passed EU Net Zero Industry Act or the EU Ecolabel for PV modules. It underlines the significance of choosing a transparent and fair approach to ensure the credibility of carbon footprint labels and meet the EU's decarbonization objectives successfully, propelling the transition toward a more sustainable energy landscape.

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis.

Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation. This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies. We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health. While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health. The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

Enhancing Bitcoin Price Volatility Estimator Predictions: A Four-Step Methodological Approach Utilizing Elastic Net Regression

This paper provides a computationally efficient and novel four-step methodological approach for predicting volatility estimators derived from bitcoin prices. In the first step, open, high, low, and close bitcoin prices are transformed into volatility estimators using Brownian motion assumptions and logarithmic transformations. The second step determines the optimal number of time-series lags required for converting the series into an autoregressive model. This selection process utilizes random forest regression, evaluating the importance of each lag using the Mean Decrease in Impurity (MDI) criterion and optimizing the number of lags considering an 85% cumulative importance threshold. The third step of the developed methodological approach fits the Elastic Net Regression (ENR) to the volatility estimator’s dataset, while the final fourth step assesses the predictive accuracy of ENR, compared to decision tree (DTR), random forest (RFR), and support vector regression (SVR). The results reveal that the ENR prevails in its predictive accuracy for open and close prices, as these prices may be linear and less susceptible to sudden, non-linear shifts typically seen during trading hours. On the other hand, SVR prevails for high and low prices as these prices often experience spikes and drops driven by transient news and intra-day market sentiments, forming complex patterns that do not align well with linear modelling.

Untangling the Paradoxical Relationship Between Religion and Business: A Systematic Literature Review of Chief Executive Officer (CEO) Religiosity Research

AbstractDespite numerous chief executive officers (CEOs) citing their religious convictions as the primary guiding framework for their decision-making, leadership behavior, business philosophy, and motivation to contribute to society, the impact of CEOs’ religious convictions is relatively limited in the business literature. However, the widespread yet potentially ambiguous impact of CEO religiosity, encompassing both a CEO’s religious denomination and level of religiosity, on individual, organizational, economical, and societal levels remains a neglected area of research. This gap is attributed to challenges in conceptualizing and measuring this multifaceted construct, with existing research scattered and predominantly confined to the ethics domain. Notably, this oversight is significant given the pivotal role that CEOs, as primary decision-makers, play in organizational dynamics. This article aims to address this gap by conducting a systematic literature review of 50 articles focused on CEO religiosity, seeking to enhance the understanding of personal religion in the business world. Through an analysis of publication trends, methodological approaches, theoretical frameworks, and empirical findings, the review not only offers insights for future research and theorizing but also proposes a conceptual framework for understanding and advancing CEO religiosity research. Additionally, this review identifies specific areas warranting further investigation, thereby highlighting existing research gaps and providing explicit starting points for future research. Through these contributions, this article provides a blueprint for future research on CEO religiosity and holds significant implications for management practice.

Методика управленческого учета затрат и калькулирования себестоимости неамортизируемой организационно-технологической оснастки производства продукции промышленного предприятия

The article is devoted to the search for scientific and practical solutions aimed at improving the quality of the information and instrumental space of management cost accounting and calculating the cost of not amortised organizational and technological equipment of industrial enterprises. In the course of the conducted research on a number of economic entities of the Nizhny Novgorod region, methods of observation, collection, systematization, classification and reflection in information registers of information relevant to the studied subject area were used; complex managerial, practice-oriented and statistical types of analysis, scientific interpretation of accumulated data using calculations and graphical formalization; the existing theoretical and methodological approaches used in the subject area under study are considered; a methodology for managerial cost accounting and calculating the cost of OTP using analytical accounting registers formed directly in the context of this type of product is proposed. The integrated use of the proposed methodology will improve the quality of awareness of decision makers on production cost management; create institutional conditions for its application in the field of manufacturing products for their own technological needs.

Integrating inquiry and mathematical modeling when teaching a common topic in lower secondary school: an iSTEM approach

The world has been increasingly shaped by Science, Technology, Engineering and Mathematics (STEM). This has resulted in educational systems across the globe implementing STEM education. To reap maximum benefits, researchers are now advocating for the integration of STEM domains. In recent studies, the integration of science and mathematics has become increasingly popular. The domains are much more suitable for integration because of their fields of application and their mutual approach toward problem-solving. However, there is little empirical evidence to drive the development of a practical model for classroom implementation. This study aims to cover that gap through integrating mathematics and science concepts when teaching a common topic to two classes of Form 1 (13–14 years) students. A mathematics and a science teacher went through two cycles of lesson study, integrating and teaching the concept of density. Results show a strong synergy between the BSCS 5E instructional model of inquiry and mathematical modeling; hence the methodological approaches can be used to integrate common topics like density. Further, teacher collaboration, teacher immersion in the iSTEM practices, teacher’s knowledge, and skills of the other subject and an in-depth understanding of a problem and its contextualization, are variables that can be capitalized on to enhance the teacher’s capacity to implement innovative and integrated STEM programs effectively.

An Innovative Methodological Approach to Analysing Social Media Movements

Social media movements take place in an increasingly volatile technological landscape. Researchers who want to analyse their spread must navigate methodological challenges relating to data accessibility, combining qualitative and quantitative data, and remaining attentive to the shifting technological affordances of social media platforms. In response to key challenges, the paper outlines an innovative, three-fold methodological approach to the analysis of social media movements integrating three strands: the Linguistic, Material, and Processual (LMP). Using the hashtag #JeSuisCharlie as a case study, the paper demonstrates how an LMP approach can provide richer insights into social media movements which would be missed by most current methods. Its low-cost design, flexible approach, and technical accessibility equips the researcher in anticipation of further change in the technical landscape. The framework outlined in the paper can be applied to other social media platforms.

A new approach for environmental damage assessment pursuant to the European Union Environmental Liability Directive.

The European Union and Member States national laws require competent authorities to promptly and effectively address environmental incidents, noncompliances, and criminal offenses, necessitating thorough planning of investigation and assessment activities. To enhance environmental damage assessments in line with the European Environmental Liability Directive (ELD, 2004/35/EC), the European Union Network for the Implementation and Enforcement of Environmental Law (IMPEL Network) has introduced the Criteria for the Assessment of the Environmental Damage (CAED) framework. This framework, outlined in a Practical Guide, offers a methodological approach to environmental damage assessment (EDA) focusing on three key objectives: case screening, identification of "clues" of damage, and determination of "evidence" of damage. Given the critical importance of structured data collection and evaluation, the CAED project has adopted a Driver, Pressure, State, Impact, and Response (DPSIR) model adapted to environmental damage and developed the Practical Tables. These tables serve as a comprehensive tool for systematically identifying investigative priorities and collecting standardized data and information using a predefined list of qualitative or quantitative indicators. This article provides an overview of the Practical Guide and Practical Tables, collectively referred to as the CAED Toolkit, aiming to establish a common framework for environmental damage assessments among various competent authorities and stakeholders across Europe. Integr Environ Assess Manag 2024;00:1-10. © 2024 SETAC.

Abstract PO3-16-07: Strategies to Enact for Equitable and Unbiased Care of Black, Triple Negative Breast Cancer Patients

Abstract Background: Black women are at higher risk for early onset and increased breast cancer mortality, especially from the sub-type Triple-Negative Breast Cancer (TNBC), than their white peers. A patient experience survey has not been implemented or published for Black women diagnosed with TNBC. Tigerlily Foundation (TLF) conducted a TNBC survey of BIack women to understand the patient experience throughout the cancer continuum of care. Methods: The survey instrument received an IRB exception and included 40 questions organized by the following themes: Demographics, Self-Detection/Early Assessment, Screening to Diagnosis, Diagnosis to Treatment, Post Treatment and Palliative Care/Survivorship, Emotional Trauma and Mental Health, and Trust/Bias. Data collection occurred between December 2022 and January 2023.  Two methodological approaches influenced this innovative study design: 1) a Health Literate and Culturally Sensitive approach and 2) a Trusted Outreach approach. The survey was sent to leaders of patient-based organizations who shared the TLF survey with their constituents. Results: All participants (N = 106) racially identified as Black women diagnosed with TNBC. The age of participants ranged from 25 – 71. Participants were not always given information to manage their expectations before or after the screening process, as 38% reported they did not receive such information, while 45% reported they did. The number of times participants required diagnostic imaging ranged from only once (24%), two-three times (41%), four-five times (17%), or greater than six times (11%). Biopsies also varied among participants from one (25%), two-three times (40%), four-five times (15%), or greater than six times (8%). Biomarker testing was not equitably offered to all participants, as 30% reported they were not given the opportunity, while 48% were given the choice. While most participants reported a good understanding of their prognosis and treatment options (59%), other participants shared that the information they received could have been better (26%). Others stated they were given zero information to work with (15%). Many participants experienced a diagnosis change, and 57% were initially diagnosed with a different breast cancer subtype, while 24% were initially diagnosed with TNBC. Conclusions: Prospective implementation science is needed to ensure equitable care standards are sustainably provided to Black women. It is imperative to understand the cancer care continuum from the perspective of the patients, what they think of the care received. Equally important, it is necessary to know what education, resources and care the patients would have liked to receive before or upon diagnosis. Health equity is not achieved based on EHR, county-level beneficiary data, or SEER data alone. Gathering information regarding the patients' experience is a factor in achieving health equity. TLF successfully reached Black TNBC patients to share their authentic experiences and provided a framework for other research institutions and patient advocacy groups to do the same. Citation Format: Virginia Leach, Jeanne Regnante, Maimah Karmo, Shanda Cooper, Krista Peoples, Lizzie Wittig. Strategies to Enact for Equitable and Unbiased Care of Black, Triple Negative Breast Cancer Patients [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-16-07.

Machine Learning-Accelerated High-Throughput Computational Screening: Unveiling Bimetallic Nanoparticles with Peroxidase-Like Activity.

Bimetallic nanoparticles (NPs) with peroxidase-like (POD-like) activity play a crucial role in biosensing, disease treatment, environmental management, and other fields. However, their development is impeded by a vast range of tunable properties in components and structures, making the establishment of structure-effect relationships and the discovery of active materials challenging. Addressing this, we established robust scaling relationships by meticulously analyzing the catalytic reaction networks of pure metal NPs, which laid the volcano-shaped correlation between the activity and O* adsorption energy. Utilizing these relationships, we introduced an innovative and versatile descriptor of the NPs, which was then integrated into a machine learning-accelerated high-throughput computational workflow, significantly boosting the predictive accuracy for the POD-like activity of bimetallic NPs. Our methodological approach enabled the successful prediction of activities for 1260 bimetallic NPs, leading to the identification of several highly effective catalysts. Furthermore, we distilled several strategies for designing efficient bimetallic NPs based on our screening results.