Comprehensive Measures Research Articles

Pengaruh Media Pembelajaran (Bingo dan Textbook) dan Perbedaan Usia terhadap Pemahaman Kosakata Bahasa Inggris

This study was conducted to determine the effect of learning media (bingo and textbook) and age differences on understanding English vocabulary. It aims to determine the effectiveness of the use of learning media on understanding English vocabulary based on age differences. This study was structured using an experimental design because it was carried out directly and the results obtained directly from field data. The sample used in this study was taken from 32 students aged over 9 years and 32 students aged less than 9 years. The independent variables in this study were learning media (bingo and textbook) and age differences. While the dependent variable is the understanding of English vocabulary. Measurement of vocabulary comprehension was done using descriptive statistical methods. The software used for data analysis is SPSS. To determine the results in this study using Two Way Anova if there is an interaction between two independent variables on the dependent variable. The results of data analysis show that there are differences in understanding of English vocabulary between students who use bingo and textbook learning media with significant results. The Middle Value Line Fcount = 7.932 and FTable = 4.001 which implies that there are differences in the understanding of English vocabulary of students aged over nine years and less than nine years. The conclusion of this study is the use of learning media (bingo and textbook) and the difference in age have an influence on the understanding of English vocabulary in third grade students.

Applying Cross-Validated Psychometric Models to the Bavarian Reading Test (BYLET)

Abstract: In this study, we compared three different models of reading comprehension on a large dataset of more than 6,500 students. We compared two models representing four comprehension processes as well as the influence of text difficulty to a one-factor model by applying multi-dimensional item response models to the newly developed Bavarian reading test (BYLET). Cross-validation indicated the best generalizability for the one-factor model, but factor loadings and global model fit showed some evidence for the influence of text difficulty measured by word and sentence length and the process structure. All psychometric models tested had a good fit, as indicated by global fit indices and loading patterns. The general factor scores point to reliability and validity. We conclude that theories of reading comprehension processes also apply to some extent to the measurement of reading comprehension as a trainable skill and that the general factor score of the BYLET is suitable for a reading comprehension screening between grades two and six. The study is preregistered. The analysis code is available at https://osf.io/xw9bv/?view_only=21549993ef79426eb4006ef82415f25c . Test materials can be sent to interested researchers on request.

The effects of generating examples on comprehension and metacomprehension.

Teachers and students often report using examples to support learning. Research has shown benefits of viewing provided examples and generating examples during declarative concept learning; however, there is less work showing clear benefits when learners generate their own examples on comprehension measures while students are attempting to learn from expository science texts. The present study tested whether generating examples would be useful for improving comprehension and comprehension monitoring in the context of an undergraduate science course. In a pre-post design, students completed an initial reading activity, followed by taking practice tests on each topic. Some students were assigned to complete an additional example generation activity after taking the practice tests. Some students also evaluated the quality of generated examples and received explanatory feedback. While there was an overall improvement in comprehension for all students, those who generated examples without the opportunity to evaluate the quality had the smallest overall learning gains. Students who evaluated the quality of examples showed the greatest learning gains on application-based test questions. And, although overall overconfidence decreased, there were no differences between conditions. These results suggest that example generation may not always be as helpful for improving learning as many students and teachers assume. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Triangular Greenness Index Analysis for Monitoring Fungal Disease in Pine Trees: A UAV-based Approach

The Triangular Greenness Index (TGI) is a vegetation index derived from high-resolution aerial images acquired using unmanned aerial vehicles (UAVs). It serves as a valuable tool for quantifying vegetation health and dynamics in the visible spectrum. The TGI combines key components, including red reflectance and green reflectance, extracted from UAV-based imagery. The red component represents chlorophyll absorption and photosynthetic activity, while the green component reflects vegetation density and canopy structure. By integrating these components, the TGI offers a comprehensive measure of photosynthetically active vegetation, utilizing UAVs as a data collection platform. This study highlight the importance of the TGI derived from UAV-based imagery in monitoring vegetation changes, assessing ecosystem responses, and tracking variations in land cover and biodiversity. Furthermore, the application of TGI analysis using UAV-based aerial imagery shows promise in accurately identifying and monitoring vegetation affected by fungal diseases. This integrated approach enables the detection of diseased trees based on distinct changes in greenness observed in their foliage. Because fungal diseases dry the plant and cause the green areas to disappear. The integration of UAV technology enhances the accuracy and efficiency of TGI calculation, contributing to effective management and conservation strategies in the context of fungal disease detection in vegetation. In this study, TGI was produced using UAV-based orthophoto and healthy and sick trees were determined. According to the accuracy analysis, producer accuracy for detecting green plants was 99.7% and user accuracy was 98.5%. Fungal disease could be detected with 98.5% producer accuracy and 96.5% user accuracy. The overall accuracy of the study was calculated as 98.6%.

Mobile device screen time is associated with poorer language development among toddlers: results from a large-scale survey

BackgroundDespite young children’s widespread use of mobile devices, little research exists on this use and its association with children’s language development. The aim of this study was to examine the associations between mobile device screen time and language comprehension and expressive language skills. An additional aim was to examine whether three factors related to the domestic learning environment modify the associations.MethodsThe study uses data from the Danish large-scale survey TRACES among two- and three-year-old children (n = 31,125). Mobile device screen time was measured as time spent on mobile devices on a normal day. Measurement of language comprehension and expressive language skills was based on subscales from the Five to Fifteen Toddlers questionnaire. Multivariable linear regression was used to examine the association between child mobile device screen time and language development and logistic regression to examine the risk of experiencing significant language difficulties. Joint exposure analyses were used to examine the association between child mobile device screen time and language development difficulties in combination with three other factors related to the domestic learning environment: parental education, reading to the child and child TV/PC screen time.ResultsHigh mobile device screen time of one hour or more per day was significantly associated with poorer language development scores and higher odds for both language comprehension difficulties (1–2 h: AOR = 1.30; ≥ 2 h: AOR = 1.42) and expressive language skills difficulties (1–2 h: AOR = 1.19; ≥ 2 h: AOR = 1.46). The results suggest that reading frequently to the child partly buffers the negative effect of high mobile device screen time on language comprehension difficulties but not on expressive language skills difficulties. No modifying effect of parental education and time spent by the child on TV/PC was found.ConclusionsMobile device screen time of one hour or more per day is associated with poorer language development among toddlers. Reading frequently to the child may have a buffering effect on language comprehension difficulties but not on expressive language skills difficulties.

Validation of the Inclusion Scale

Despite the importance of inclusion in education, studies that clearly define and operationalize the concept of early childhood inclusive education in South Korea remain scarce. In this study, we aimed to translate and validate a comprehensive measurement scale to assess Korean early childhood teachers' attitudes and perceptions regarding inclusion. We analyzed data from a group of 224 respondents from 82 daycare centers in South Korea and tested the inclusion scale's internal consistency, subscale reliability, and content and construct validity. The exploratory factor analysis identified four factors with varying number of items in each factor. Researchers could use this instrument to better understand Korean teachers' beliefs about themselves with respect to inclusive education. Implications for research include the utility of the survey instrument with Korean early childhood teachers.

Is "tobacco harm reduction" possible? Other countries' experiences and perspectives, and how they could inform tobacco control in Japan

"Tobacco harm reduction" is defined as a method to minimize harm and risk of death and disease without eliminating tobacco and nicotine use. In Japan, where heated tobacco products (HTPs) are prevalent, the tobacco industry is progressively endorsing the concept of "tobacco harm reduction." Therefore, stakeholders in tobacco control must urgently share perspectives and experiences surrounding this issue. This discussion paper aimed to propose four requirements for effectively implementing "tobacco harm reduction" as a public health measure: (1) disease risk reduction, (2) cigarette smoking cessation, (3) no additional public health concerns, and (4) regulatory authorities held by health agencies, and compile information on them regarding nicotine-containing electronic cigarettes (e-cigarettes) and HTPs. Another aim was to summarize policies related to "tobacco harm reduction" adopted by an international organization (World Health Organization (WHO) and health authorities in foreign countries (the United States of America (USA), the United Kingdom (UK), Australia, Italy, and the Republic of Korea) to explore the implications of these requirements on Japan's approach. Regarding the first three requirements, scientific evidence indicated that e-cigarettes offers some level of risk reduction and can assist with cigarette smoking cessation. The potential uptake of e-cigarettes among youth and their possibility to serve as a gateway to combusted cigarette use is a concern, though a definitive causal link is yet to be established between the uptake of e-cigarette in youth and the subsequent use of different tobacco products. There is insufficient scientific evidence for any of the three requirements for HTPs. Regarding the official policies, WHO took the position that the same regulations should be applied to all tobacco products. Only the UK and USA officially established a health system based on the concept of "tobacco harm reduction"; even in Italy and the Republic of Korea, where HTPs are relatively widespread, health authorities denied any risk reduction by introducing HTPs. The UK officially adopted a smoking cessation policy with e-cigarettes. The USA established a modified risk tobacco product system under federal legislation enacted in 2009, whereas of June 2023, no HTP or e-cigarettes were recognized as explicitly reducing health risk. Regarding the fourth requirement, the UK and USA institutionalized "tobacco harm reduction" under health authorities' regulation independent of the tobacco industry. The introduction of a tobacco harm reduction policy in Japan should be considered only in line with health authorities' regulation and implementation of comprehensive tobacco control measures independent of the tobacco industry.

The Legal and Political Implications of AI Bias: An International Comparative Study

Purpose: "The Legal and Political Implications of AI Bias: An International Comparative Study" extensively navigates the intricate terrain of AI governance, with a specific focus on the ethical challenges arising from bias in AI systems. The purpose of this study is to underscore the urgent need for robust regulatory frameworks to address issues of bias, discrimination, and fairness within the realm of AI technologies.
 Materials and Methods: The research methodology involved a comprehensive analysis of international perspectives on AI bias. This entailed examining existing literature, legal frameworks, and political dynamics surrounding AI governance in various countries. Comparative analysis was conducted to elucidate the diverse approaches adopted by different nations to tackle AI bias and unravel the corresponding legal and political consequences.
 Findings: The study highlighted the inherent risks associated with biased algorithms and stressed the paramount importance of proactively detecting and mitigating bias to prevent discrimination and promote fairness in AI systems. Additionally, it advocated for comprehensive measures such as risk management strategies, conformity assessments for high-risk AI applications, and the careful handling of sensitive data to identify and rectify biases that could lead to discriminatory outcomes.
 Implication to Theory, Practice and Policy: The study was informed by theories of ethical governance and legal frameworks in AI development and deployment. It was validated through the comparative analysis of international perspectives, which provided insights into the effectiveness of different regulatory approaches in addressing AI bias. Recommendations to practitioners include implementing risk management strategies, conducting conformity assessments for high-risk AI applications, and ensuring the careful handling of sensitive data to identify and rectify biases. Practitioners are urged to prioritize ethical considerations and advocate for responsible deployment practices to mitigate AI bias effectively. Recommendations to policymakers emphasize the need to prioritize ethical considerations and advocate for responsible deployment practices in AI governance. Policymakers are urged to develop robust regulatory frameworks that promote transparency, accountability, and inclusivity in AI development and deployment to build a more equitable and trustworthy AI ecosystem.
 In essence, the study provides crucial insights into the complex interplay between legal frameworks, political dynamics, and ethical considerations in addressing AI bias on a global scale. It paves the way for the establishment of fair and unbiased AI systems that benefit society as a whole.

Experimental investigation on a lightweight, efficient, counter-rotating fan with and without boundary layer ingestion

AbstractThe experimental investigations on the counter-rotating CRISPmulti fan with boundary layer ingestion are presented in this paper. The Counter Rotating Integrated Shrouded Propfan (CRISP) was designed, aerodynamically optimized and manufactured in lightweight material by the German Aerospace Center (DLR). The main task was to maximize the aerodynamic efficiency under restricted static, dynamic and acoustic properties of the blade designed with lightweight carbon-fiber material and to apply it as a demonstrator for the development of a new innovative blade manufacturing technology. The rotors were manufactured at the DLR Institute of Structures and Design and tested on the Multi-stage 2-shaft Compressor Test Facility (M2VP) at the DLR Institute of Propulsion Technology. The instrumentation enabled the measurement of the aerodynamic, static, dynamic and acoustic behavior of the fan. In general, the targets of the experimental investigation were to validate the optimization results, the numerical calculational methods and the acoustic tools. Additionally, inlet distortion measurements were carried out on the fan rig to investigate the effect of the boundary layer ingestion on a real counter-rotating propfan. A radially traversable disturbance body, designed to simulate the boundary layer of the aircraft fuselage on an aircraft architecture with embedded engines, enables a comprehensive measurement program to be carried out for both undisturbed and disturbed inflow.

A full-scale composite tidal blade fatigue test using single and multiple actuators

In order to perform fatigue testing on tidal turbine blades, it is necessary to apply cyclic loads that do not match the blade’s natural frequency. This is due to the high stiffness of the blades and the thermal challenges associated with testing composite materials at frequencies typically around 18–20 Hz. To overcome this challenge, auxiliary systems are used to load the blades. However, conventional hydraulic systems commonly used for this purpose are known to be energy-intensive and inefficient. In this work, we present results obtained at the FastBlade fatigue testing facility, which utilises a regenerative digital displacement hydraulic pump system to address these issues. This innovative system has proven to be highly efficient, resulting in up to 75% energy savings compared to standard hydraulic systems. To perform these tests, we first performed a series of Reynolds-Averaged Navier–Stokes (RANS) simulations using on-site water velocity data to determine equivalent target hydrodynamic loads. These target loads are applied to the blades using initially a single contact point and, later, three load contact points. The FastBlade facility showcases an effective approach to fatigue testing during these tests. Throughout the testing process, comprehensive measurements are taken to evaluate the response of the blades and the FastBlade test structure itself. These measurements provide valuable insights into the mechanical behaviour of the blades when a single or multi-actuator setup is used to match the root bending moment and contribute to the refinement of testing practices. Notably, the blades successfully endured the equivalent of 20 years of tides in an accelerated fatigue loading test without experiencing catastrophic failure. The data obtained from these tests will enable the identification of improvements in testing procedures, including control strategies, load introduction methods, instrumentation layout, instrument calibration, and test design. This knowledge will lead to enhanced performance and reliability of the FastBlade facility, further advancing the field of tidal turbine blade testing.

Consumer trust in local food system – An empirical research in Hungary

AbstractConsumer trust is essential to any market but particularly relevant to the food sector. Sustainable food systems require integration of small-scale food producers, for them consumer trust is pivotal. However, comprehensive measurement of consumer trust regarding local food is a less explored area. Based on the adjusted version of Benson's trust toolkit, local food trust was measured on four levels. This approach, connecting locality/proximity to food-related trust, was tested with a representative quantitative consumer survey (n = 1,001) in Hungary. Interpersonal trust, general organisation trust, local food chain trust, and local food product trust were measured on a 5-point Likert scale. Correlation and boxplot analysis conducted revealed that trust levels correlate significantly but remain independent from demographic characteristics, indicating that trust in local food is not region-, education-, or income-specific amongst Hungarian consumers. A relatively high level of consumer trust was measured for local food products and producers compared to other stakeholders, strengthening the assumption for the proximity-trust relationship regarding food. This is a key factor for small-scale food producers: only shared values with the local community and earned trust can attract customers despite less flexibility with pricing and limited capacity for advertising.

WHO Recommendations for Care of the Preterm or Low-Birth-Weight Infant

Premature infants (gestation age<37 weeks) and low-birth-weight infants (< 2.5 kg) require complex care to ensure their survival, growth and neurological development. Increased risk for developmental disorders, infections, and challenges with nutrition and body temperature regulation require comprehensive measures in care. The aim of this guideline was to improve the care of premature and low-birth-weight infants through updated recommendations. The recommendations of the World Health Organization (WHO) have been implemented in this guideline in accordance with the WHO handbook for guideline development. This publication has been translated into German by staff members of the WHO Collaborating Centre at the Danube University Krems (Austria). This guideline includes 11 strong and 14 conditional recommendations, of which 16 describe preventive and promotive care, 6 recommendations about care for complications and 3 for family involvement and support, as well as one statement of good practice.

Development of the Parental Experience with Care for Children with Serious Illnesses (PRECIOUS) quality of care measure

BackgroundParent-reported experience measures are part of pediatric Quality of Care (QoC) assessments. However, existing measures were not developed for use across multiple healthcare settings or throughout the illness trajectory of seriously ill children. Formative work involving in-depth interviews with parents of children with serious illnesses generated 66 draft items describing key QoC processes. Our present aim is to develop a comprehensive parent-reported experience measure of QoC for children with serious illnesses and evaluate its content validity and feasibility.MethodsFor evaluating content validity, we conducted a three-round Delphi expert panel review with 24 multi-disciplinary experts. Next, we pre-tested the items and instructions with 12 parents via cognitive interviews to refine clarity and understandability. Finally, we pilot-tested the full measure with 30 parents using self-administered online surveys to finalize the structure and content.ResultsThe Delphi expert panel review reached consensus on 68 items. Pre-testing with parents of seriously ill children led to consolidation of some items. Pilot-testing supported feasibility of the measure, resulting in a comprehensive measure comprising 56 process assessment items, categorized under ten subthemes and four themes: (1) Professional qualities of healthcare workers, (2) Supporting parent-caregivers, (3) Collaborative and holistic care, and (4) Efficient healthcare structures and standards. We named this measure the PaRental Experience with care for Children with serIOUS illnesses (PRECIOUS).ConclusionsPRECIOUS is the first comprehensive measure and has the potential to standardize assessment of QoC for seriously ill children from parental perspectives. PRECIOUS allows for QoC process evaluation across contexts (such as geographic location or care setting), different healthcare workers, and over the illness trajectory for children suffering from a range of serious illnesses.

Innovating in-situ characterization: a comprehensive measurement system for measuring the ZT and the contact resistance of vertical thermolegs exploiting the vertical transfer length method

In order to optimize their system design and manufacturing processes, it is crucial to undertake a thorough electrical and thermal characterization of micro thermoelectric generators (µTEGs). To address this need, a highly advanced and fully integrated in-situ measurement system has been developed. The main objectives of this system are to (1) enable the measurement of ZT and thereby of all thermoelectric (TE) properties of thermolegs made from powder-based TE materials and (2) at the same time accurately measure the contact resistance between the TE material and the electrical contacts. The µTEG fabrication concept used in this study is based on copper-cladded printed circuit board (PCB) material as a substrate, using the Cu layers for easy contact formation. In a first step, an innovative measurement concept, based on a distinctive vertical rendition of the well-established transfer length method, has been realized, allowing for the in-situ measurement of contact resistance between the TE material and the copper conductors on the PCB substrate. This enables a comprehensive assessment of the impact exerted by the applied force and temperature during e.g. a hot-pressing step for compacting the powder-based thermolegs during the manufacturing process. In a second step, a comprehensive measurement platform, referred to as the ZT-Card, has been devised to facilitate the evaluation of all relevant TE material properties—Seebeck voltage, electrical conductivity and thermal conductivity (all measured in vertical cross-plane orientation)—inherent to a highly miniaturized thermoleg. Additionally, the ZT-Card also allows for the assessment of contact resistance between the copper contacts and the TE material. Successful testing of this measurement system inspires confidence in the capabilities of the platform and will aid in future µTEG development.

Measuring and Assessing Long‐Duration Impacts for Truck and Trailer

ABSTRACTA vehicle's long‐duration impacts events are experienced during turning, braking, and accelerating and decelerating. These long‐duration events are mixed with random impacts and shocks from various patterns and magnitudes. This study reports a comprehensive measurement and assessment of horizontal long‐duration impact dynamics for less‐than‐truckload (LTL) transportation. The collected horizontal impacts were synchronized with GPS data, allowing for the geographical location and identification of the event's signatures. All critical horizontal long‐duration impacts were detected by a MATLAB‐based algorithm and clustered into designated groups. A maximum collected environment and statistical analysis were assessed for the collected data, including the range, mean and cumulative probabilities. The study revealed that horizontal impacts caused by left‐turning and longitudinal braking are likely the most critical horizontal impacts. Additionally, lateral and longitudinal linear jerks were obtained for comparison with the EUMOS standard.

Security in Machine Learning (ML) Workflows

Purpose: This paper addresses the comprehensive security challenges inherent in the lifecycle of machine learning (ML) systems, including data collection, processing, model training, evaluation, and deployment. The imperative for robust security mechanisms within ML workflows has become increasingly paramount in the rapidly advancing field of ML, as these challenges encompass data privacy breaches, unauthorized access, model theft, adversarial attacks, and vulnerabilities within the computational infrastructure.&#x0D; Methodology: To counteract these threats, we propose a holistic suite of strategies designed to enhance the security of ML workflows. These strategies include advanced data protection techniques like anonymization and encryption, model security enhancements through adversarial training and hardening, and the fortification of infrastructure security via secure computing environments and continuous monitoring.&#x0D; Findings: The multifaceted nature of security challenges in ML workflows poses significant risks to the confidentiality, integrity, and availability of ML systems, potentially leading to severe consequences such as financial loss, erosion of trust, and misuse of sensitive information.&#x0D; Unique Contribution to Theory, Policy and Practice: Additionally, this paper advocates for the integration of legal and ethical considerations into a proactive and layered security approach, aiming to mitigate the risks associated with ML workflows effectively. By implementing these comprehensive security measures, stakeholders can significantly reinforce the trustworthiness and efficacy of ML applications across sensitive and critical sectors, ensuring their resilience against an evolving landscape of threats.

Running in circles: A systematic review of reviews on technological pedagogical content knowledge (TPACK)

Extensive research exists on the Technological Pedagogical Content Knowledge (TPACK) model and has led to a substantial number of systematic reviews and meta-analyses. These publications vary greatly in their focus and provide overviews of specific aspects of TPACK research. This paper aims to consolidate these insights and investigate the following research questions: What do systematic literature reviews and meta-analyses reveal about the current state of the art of TPACK research? What is the methodological quality of systematic reviews and meta-analyses of TPACK? This study identified 21 systematic reviews and 2 meta-analyses eligible for analysis. Overall, the review of the reviews revealed that many of the recurring theoretical or methodological issues of the TPACK framework remain unresolved. To address these issues, research on TPACK needs to simultaneously account for the complex, situated, and dynamic nature of TPACK and clarify the concept of professional knowledge. The review engenders several directions for future research, including a better operationalization of knowledge, more experimental and longitudinal studies, and a more comprehensive measurement and integration of student learning as a dependent variable in research on TPACK.

Assessing the Drivers of Sustained Agricultural Economic Development in China: Agricultural Productivity and Poverty Reduction Efficiency

Poverty eradication is a crucial element of SDG 1. Whether the financial resources invested by the Government provide a critical impetus for deeply impoverished rural areas needs to be studied by quantitative analysis. Therefore, this study presents a theoretical analytical framework for agricultural production–government poverty reduction. It divides the poverty reduction process into two stages, agricultural production and poverty reduction, from the perspective of sustainable agricultural development. The comprehensive measurement and spatio-temporal evolution analysis of China’s agricultural production and poverty reduction efficiency are conducted using a novel dynamic two-stage DEA model, which incorporates non-expected factors. The study found that (1) China’s agricultural production and poverty reduction efficiency exhibit overall poor performance, characterized by two poles of differentiation. (2) The agricultural production efficiency score is higher in the northern region than in the southern region, while the poverty reduction efficiency score is higher in the eastern region compared to the western region. (3) The coupling and coordination between China’s production efficiency and poverty reduction efficiency are inadequate.

Advanced Surveillance System with Encrypted Alerts and Privacy Enhancement

The proposed project "Advanced Surveillance System with Encrypted Alerts and Privacy Enhancement" addresses the critical need to increase public safety through a sophisticated security surveillance system. This multi-faceted system integrates core functions including real-time object detection, encrypted image capture, secure email alerts and comprehensive security measures. Different algorithms are used for face detection, which allows the system to continuously evolve and improve its object detection capabilities and adapt to real-world scenarios. The primary goal is to identify specific objects in public spaces and thus contribute to safer communities. The project further prioritizes the protection of captured and transmitted data, implementing strict security measures to protect against attempts to hack email accounts and decrypt images. This project represents a significant leap forward in security and surveillance, offering a versatile and adaptable solution designed to effectively address evolving public safety challenges.. Keywords — Encryption, Decryption, Cryptography, Object Detection, RNS, Machine learning algorithms.

A Comprehensive Patient Blood Management Program During Cardiopulmonary Bypass in Patients Over 60 Years of Age.

There is currently no consensus on the most appropriate blood transfusion strategy for older adults undergoing cardiovascular surgery. We aimed to investigate the potential benefits of the patient blood management (PBM) program specifically for advanced age patients, and to evaluate the relationship of age and PBM in cardiovascular surgery. We collected data from patients over 60 years old who underwent on-pump cardiovascular surgery. We compared transfusion and clinical outcomes between the pre-PBM and post-PBM groups using a propensity score matching method. Then, we conducted a subgroup analysis within the original cohort, specifically focusing on patients aged of 75 and above with multivariable adjusted models. Data of 9703 older adults were analyzed. Red blood cell (RBC) transfusion rates during cardiopulmonary bypass (CPB) (31.6% vs 13.1%, P<0.001), during the operation (50.8% vs 39.0%, P<0.001) and after the operation (5.6% vs 3.1%, P<0.001) were significantly reduced, and mortality and the risk of some adverse events were also reduced after the PBM. Subgroup analysis showed that there was no interaction between age and PBM, and advanced age (over age 75) did not modify the effect of PBM program in reducing RBC transfusion (Pinteraction=0.245), on mortality (Pinteration=0.829) and on certain complications. The comprehensive PBM program could reduce RBC transfusion without adverse outcomes in older patients undergoing CPB. Even patients over age 75 may benefit from a more stringent transfusion indication. Comprehensive blood conservation measures should be applied to optimize the blood management for older patients.