Usage Of Components Research Articles

Quality Improvement Assessment of Massive Transfusion Protocol (MTP) Utilization and Blood Component Return to Blood Bank in a Level 1 Trauma Center

Abstract Introduction/Objective The goal of MTP in management of patients with hemorrhage is to restore coagulation factors, oxygen carrying capacity, and platelets by transfusing equal amount of plasma, RBC, and platelets. Upon activation of MTP, blood components are released in rounds until deactivation. This quality improvement study was initiated to assess blood products transfused versus returned during MTP activation at our Level1 Trauma Medical Center. Methods/Case Report Upon MTP activation, the Blood Bank (BB) prepares first round of cooler with components at 5:5:1 ratio of plasma, RBC, apheresis platelets. We reviewed retrospective MTP data of eleven-month, from 10/2022- 08/2023. We analyzed patterns of blood component usage by service line, number of MTP rounds issued, and number of units transfused versus returned. Results (if a Case Study enter NA) MTP data was reviewed for 195 patients. MTP activation by service line included emergency department 58.5%, medical ICU (MICU) 14.4%, and surgical ICU (SICU) 11.8%. In many MTP activations, only one round of components was released. Overall, an average of 1.5 rounds were issued. Data of units transfused and returned by component type showed more RBC (43.1%) units were transfused than plasma (39.4%) suggesting MTP transfusion did not follow 1:1:1 ratio. Out of all issued blood units 58% were returned. The high fraction of returned blood components suggests MTP activation may not always truly indicate massive hemorrhage. This finding, and the notable frequency of MTP activation for MICU and SICU patients suggests that individual component order on an emergency-release basis may have been the appropriate option. Conclusion In general, the data suggests implementation of a quality improvement initiative focused on increasing awareness of criteria for MTP activation, and training of staff surrounding MTP is essential. We recently implemented an electronic emergency transfusion order set that allows providers to order individual components for non-massively bleeding patients.

Evaluating both usability and accessibility: the case of access@tour by action – a digital solution for accessible tourism

Aim: Information systems can help improve accessible tourism conditions. During the development of accessible technology, a crucial phase is testing. Notwithstanding, usability testing methodologies often dismiss accessibility. To overcome this gap, this work contributes with an innovative mixed-method testing methodology that integrates accessibility and usability components in technology evaluation. The capabilities of this methodological process are demonstrated through testing the prototype of a mobile solution for accessible tourism – access@tour by action. Methods: Nine experts evaluated the platform and helped correct accessibility failures. Afterward, 78 end-users tested the prototype. The procedure includes a set of tasks to be performed in the prototype and a final questionnaire. This questionnaire was specifically created for accessibility markets and is itself a significant contribution. Results: Testing with experts helped improve the prototype’s accessibility before it reached end-users. The results with end-users are provided in two distinct ways. First, the task performance measures are presented, which showed overall good completion rates. Second, the results obtained from the questionnaires are disclosed. Overall, the platform was considered relevant, accessible, and easy to use. Still, some minor flaws were identified regarding interface connectivity, symbology, and reading sequence. Thus, improvements are suggested based on obtained feedback. Conclusion: The testing procedure was essential to gather input from a user point of view, ensuring the final version of the access@tour by action is accessible and, therefore, “usable”. This allowed for validating the methodological method, significantly contributing to future research on evaluating technology accessibility.

Spatial factors associated with usage of different on-demand elements within mobility hubs: a systematic literature review

ABSTRACT Mobility hubs offer a strategic opportunity to enhance multimodal transportation and reduce greenhouse gas emissions within the transport sector. Identifying the spatial factors determinants influencing the usage of mobility hub components is essential for policymakers and transport planners aiming to identify their optimal locations. This study undertakes a systematic literature review and ranking of spatial factors associated with the usage of key on-demand services within mobility hub elements, including bike sharing, scooter sharing, car sharing, ride hailing and taxi and electric vehicle charging stations. Utilising databases such as Web of Science, Google Scholar and Francis & Taylor, we evaluated 119 records, identifying 39 key factors from social and built environments that are associated with usage of the on-demand elements. Key findings highlight the significance of population density, employment density, proximity to public transport, recreational POIs and household income, along with a noted negative association with the factor slope. This research contributes to exploring how these factors align across various on-demand mobility services that can be potentially used for policymakers, and transportation planners in evaluating potential strategies for the optimal allocation and development of mobility hubs.

Computer Simulation of Deformation characteristics of Hybrid Orthotropic Composite Sandwich Beams Under Bending and Axial Loading

This study focuses on the deformation characteristics of hybrid orthotropic composite sandwich beams under axial and bending loading. The homogeneous cores of the hybrid orthotropic sandwich beams affect different parameters on structures. We followed by analytically determining effective material properties to study response of the hybrid sandwich beam under axial and bending loading. Ensuing, we programmed all steps and procedures of solution algorithm into commercially available MATLABTM 2020 code to simulate practical scenarios. Subsequently, we collected and processed data in tabular and graphical forms to facilitate analyses. We compared simulation generated results to the data results available in the literature and found to be within the acceptable range of (±6%) deviations. We observed that the hybrid structure beams had undergone less deformation that confirmed that the hybrid structure beams have comprehensive mechanical advantages as well as has high strength and specific energy absorption capabilities. Based on comparison of the results, the hybrid beams are more damage resistant and tolerant than beams made of the other type of materials. Since hybrid sandwich beams are relatively light, economical, and perform better under axial and bending deformations. Therefore, this study could also be extended to investigate performance of the orthotropic sandwich beam structures under multiple loading directions as well as proposes that the usage of the hybrid sandwich beam components will be useful in global structures.

Trends in total shoulder arthroplasty utilization and implant pricing

BackgroundTotal shoulder arthroplasty (TSA) is the third most common total joint replacement procedure in the United States, with high rates of success and cost-effectiveness. As indications continue to expand, anatomic TSA (aTSA), reverse shoulder arthroplasty (RSA), and hemiarthroplasty are available procedures for treating patients with varying end-stage shoulder pathologies. While previous studies have documented trends in overall costs and reimbursements in TSA, there is limited information regarding recent trends in implant utilization, pricing, and procedure type. Therefore, this study aimed to analyze trends in implant and technology utilization for TSA in the United States between 2013 and 2022 to inform decision-making and improve clinical best practices. MethodsUtilization trends and average implant prices between 2013 and 2022 were extracted from Orthopedic Network News, the largest publicly available implant registry. All costs and prices were adjusted for inflation. Trends were analyzed using linear regressions. ResultsAverages and nationwide estimates for 2022 were based off 7339 shoulder cases from 117 US hospitals. RSA significantly increased from 40% in 2013 to 72% of all shoulder arthroplasties in 2022 (β = 4.18; P < .001), whereas aTSA significantly decreased from 43% to 20% (β = −0.34; P < .001), and hemiarthroplasty significantly decreased from 10% to 1% (β = −1.07; P < .001). Other types of procedures, such as revisions and shoulder resurfacings, constituted 7%. Anatomic constructs showed a rise in stemless humeral component usage from 2% in 2017 to 10% in 2022 (β = 1.4; P < .01). Financially, Medicare physician payment for shoulder surgeries witnessed significant decline from $1882 USD in 2017 to $1428 in 2023 (β = −73; P < .001). The inflation-adjusted cost of aTSA also decreased from $8055 in 2013 to $6223 in 2022 (β = −173.56; P < .01), and RSA from $12,207 to $8882 in 2022 (β = −318.31; P < .001). ConclusionTrends in primary TSA procedures feature a growing prevalence of RSA as compared to aTSA, in addition to a rise in stemless humeral implants within aTSA. As both Medicare physician reimbursements and implant prices continue to decrease, it is important for surgeons to consider the tradeoffs of different implant materials and patient-specific technology when performing such procedures.

Evaluating the Impact of Usability Components on User Satisfaction in Educational Board Games using the MEEGA+ Framework

Evaluating the Impact of Usability Components on User Satisfaction in Educational Board Games using the MEEGA+ Framework

Investigating the Impacts of A Simulation-Based Learning Model Using Simulation Virtual Laboratory on Engineering Students

Considering electrical engineering students at Universitas Negeri Medan as a case study, this research looks at how an SVL affected their grades. Integrating the TAM with the ABET Laboratory Learning Objectives, it provides a comprehensive framework for quality engineering and technology education. This research is the first of its kind to theoretically compare the two concepts in a VL context. This research examines the relationship between student performance in the classroom and the TAM's usability components as well as the ABET's learning objectives. The results from the surveys given to first-year Electrical Engineering students are analyzed using Structural Equation Modeling (SEM) and Partial Least Squares (PLS). Because it enhances student performance and satisfies their learning goals, the results demonstrate that utilizing simulation-based virtual laboratories (SVL) in engineering education offers substantial educational benefits.

Periprosthetic Fractures: A Rising Tide of Hip Arthroplasty Failure Noted in the American Joint Replacement Registry and the Preventative Role of Cemented Stems

BackgroundThis investigation examined cemented femoral component use in total hip arthroplasty (THA) and its impact on the incidence of periprosthetic fractures (PPFx), a common failure mode in THA. The study leverages data from the American Joint Replacement Registry (AJRR) to assess trends in cemented femoral component usage over time, its association with PPFx rates, and compares the survivorship and 90-day complication rates between cemented and cementless femoral component THAs. MethodsPrimary THAs, captured in the AJRR, in patients aged 65 years and older from 2012 to 2021 were analyzed. Variables considered included age, sex, race, region, teaching status, year, Charlson comorbidity index, and institution bed size. Analysis compared fixation types for THA on all-cause linked revision and PPFx. Logistic regression models analyzed the odds ratios for all-cause linked revision and PPFx for any follow-up time as well as for 90-day revision. The models were adjusted for the listed variables. ResultsDuring the study period, the rate of cement utilization as a percentage of primary THAs performed and reported to the AJRR increased from 4.4 to 8.3%. The rate of THA failure from PPFx increased from 11.4 to 33.3%. When both fixation groups were compared in the univariate analysis, there was a statistically significant difference in all demographic variables (P < .001). To account for this, multivariable logistic regression models were applied. In our models, cemented stems showed a 54.4% (odds ratio: 0.456; 95% confidence interval: 0.347 to 0.599; P < .0001) and 65.8% (odds ratio: 0.342; 95% confidence interval: 0.237 to 0.493; P < .0001) lower risk of PPFx linked and PPFx early linked revision, respectively. ConclusionsPeriprosthetic fractures are becoming a leading failure mode for THAs in the AJRR. Given cemented fixation’s relative resistance to this failure mode compared to cementless fixation, we should consider increasing the utilization of this technique.

Exergoenvironment evaluation of carbon resource conversion and utilization via CO2 direct hydrogenation for methanol and power cogeneration

CO2 hydrogenation technology is pivotal for achieving low-carbon and sustainable development goals by curbing carbon dioxide emissions and enabling new value chains. Traditional CO2 hydrogenation systems face challenges like excessive unreacted gas cycling and inefficient component usage. This study employed direct CO2 hydrogenation for methanol production, and integrated the chemical looping combustion (CLC) concept to enhance energy efficiency and carbon cycle utilization in methanol-electricity production. The proposed method has yielded remarkable results, attaining an exergy efficiency of 57.72 %, with CO2 equivalent emissions at 0.27 kgCO2/kgCH3OH. Furthermore, it has demonstrated a reduction of approximately 9.60 % in energy consumption and an impressive 83.63 % decrease in carbon emissions compared to the reference system. Exergoenvironmental analysis was conducted for the entire process and individual units. The results indicated superior environmental performance of the cogeneration system compared to the single-production system when the recycling ratio of unreacted gas (Ru) ranged from 1.64 to 2.72. Furthermore, CLC was identified as a key area requiring optimization within the system and determined by the values of rb,k and B˙D,k. This observation remains consistent even as Ru changes. The system showcases significant potential in thermodynamics and environmental sustainability, and lays a theoretical foundation and innovative perspective for CO2 utilization technologies.

Elemental analysis and metabolic profiling of medicinally potent members of Zingiberaceae family using FT-IR and LIBS coupled with PLS-DA

The role of organic and inorganic elemental profiles in the growth, development, and secondary metabolite synthesis of plants is crucial, particularly concerning their medicinal value. However, comprehensive studies addressing both aspects are scarce. Hence, the present manuscript aims to investigate the potential use of Fourier transform infrared spectroscopy (FT-IR) and laser-induced breakdown spectroscopy (LIBS) techniques to obtain the functional groups and organic and inorganic elemental profiles of significant medicinal plants belonging to the Zingiberaceae family collected from two different geographic regions in India. The FT-IR analysis of the methanolic extracts shows the presence of aliphatic and aromatic alcohols, esters, ethers, carboxyl compounds, and their derivatives. In LIBS analysis, the spectral characteristics of atomic and molecular species present in the samples were observed, encompassing both organic and inorganic elements. The presence of heavy metals and trace elements have also been observed in the LIBS spectra of the samples. Furthermore, partial least squares discriminant analysis (PLS-DA) has been used to obtain classification pattern of the samples based on their spectral fingerprints. This study not only helps in reflecting the significance of micronutrients in aiding secondary metabolism thus enhancing the medicinal properties of plants, but also enables the identification of trace elements within plants. This facilitates the determination of the suitable usage and dosage of particular plant components, contributing to the research goal of establishing pharmacological and nutraceutical significance. This study is imperative as it fills a critical gap in research, although further work in this direction is warranted.

Going beyond templates: composition and evolution in nested OSTRICH

AbstractLow-code frameworks strive to simplify and speed up application development. An essential mechanism to achieve these goals is to have native support for the safe reuse and usage of parameterized coarse-grain components, providing developers with strong guardrails and a rich software-building experience. —a rich template language for the OutSystems platform—was designed to simplify the use and creation of such components. Thus, the application developer can quickly reuse and assemble sophisticated and thoroughly tested application blocks. However, without a built-in composition and evolution mechanism, templates are still hard to create and maintain. This sometimes requires the repetition of code across different templates and creates a conflict between the customizations of the instantiated application models, and the update and reapplication of a template definition. This paper presents a principled mechanism for using abstraction in the creation of templates and simultaneously supporting the evolution of templates in applications after use. First, we introduce a template composition mechanism, its typing discipline, and its instantiation algorithm for model-driven low-code development environments. We start by extending to support nested templates and allow the instantiation (hatching) of templates in the definition of other templates. Nesting promotes a significant increase in code reuse potential, leading to a safer evolution of applications. We then introduce the support for customizable template instances, which allows one to evolve templates’ code and then update a template instance without losing customizations performed in the generated code. The present definition seamlessly extends the existing OutSystems metamodel with template constructs expressed by model annotations that maintain backward compatibility with the existing language toolchain. We present the metamodel, a set of annotations to support the extensions, and the corresponding validation and instantiation algorithms. In particular, we introduce a type-based validation procedure for abstractions that ensures that using templates always produces valid models. This work also extends prior developments on Nested OSTRICH with the support for safe customizations of instantiated code. We validate Nested OSTRICH using the benchmark by identifying the degree of reusability that can be reached in the existing sample of real templates and template uses. Our prototype is an extension of the OutSystems IDE that allows the annotation of models and their use to produce new models. We also analyze which existing OutSystems sample screen templates can be improved by using and sharing nested templates .

Impact of sharing imprecise information on fixed-bin selective assembly

Fixed-Bin Selective Assembly (FBSA) is widely used to improve the assembly quality of single units of different component types. FBSA has parts with similar dimensions, but with slight deviations due to production variances, sorted into pre-determined bins. A selection is made from paired bins for assembly. To ensure enough components, assemblers adopt a proactive or reactive strategy. For the proactive, predictions of component usage quantities are used to adjust processes for the internally manufactured matched component prior to production. With the reactive, component inventory levels are adjusted after assembly. The performance of each can be improved with information about incoming part dimensions. However, the communicated information may be imprecise. We developed a Bayesian Measurement Error Model to evaluate the impact of imprecision, in the supplier’s communicated information, on the efficacy of FBSA with either strategy. The model was tested with parameters obtained from a US assembler of combustion engines. We find that in most scenarios, the proactive approach results in better FBSA efficacy on average. A key exception was when imprecise information about the mean was communicated, resulting in no significant difference. The reactive approach is typically easier to implement, therefore it may be preferred when communicated information about the mean of incoming part dimensions is often inaccurate.

Integrated on-board electric vehicle battery charger with multifunctional features

ABSTRACT Because of the continuous demand for reliable, efficient, small-size, light weighted, and low-cost Electric Vehicle (EV) battery charging systems, an integrated on-board charger is proposed with a high-power propulsion motor drive. It utilises stator windings of motor, the 6-leg Voltage Source Converter (VSC), DC-DC converter, and feedback sensors to facilitate vehicular battery charging. With this system, soft switching technique based bidirectional isolated DC-DC converter is proposed that offers the advantage of simple circuitry design due to no usage of extra passive or active components. This paper presents mathematical modelling, analysis, and controller design of this proposed configuration under various operating modes. The complete system is developed in Sim Power system toolbox of MATLAB software and tested in real-time environment. The performance investigations of proposed system are carried out for three operating modes like Grid-to-Vehicle (G2V), Vehicle-to-Grid (V2G), Vehicle-to-Vehicle (V2V) under Constant Current (CC) and Constant Voltage (CV) battery charging modes. Furthermore, the investigations ensure the system’s excellent efficiency, less THD, and nearly unity power factor operation under all operating conditions.

Study on the treatment of pyrolysis products from the nitric acid pressure leach liquor of laterite

As the demand for nickel increases sharply, it is of great significance to extract valuable metals such as nickel and cobalt from lateritic nickel ore with huge reserves. Based on the nitric acid pressure leaching process (NAPL) of laterite nickel ore, a clean process of laterite nickel ore treatment is proposed. The process includes concentration and crystallization of pressure leaching solution of nitric acid, pyrolysis of mixed nitrate crystal, alkaline leaching of mixed oxides and acid leaching of alkaline leaching residue. Based on previous work, the high-pressure alkaline leaching process of pyrolysis products (mixed oxides) and atmospheric pressure sulfuric acid leaching process of alkaline leaching residue were studied in this paper. First, the Eh-pH diagrams of metal-water system of common elements in laterite nickel ore was summarized according to the reaction equations of different substances in aqueous solution, and the subsequent wet leaching process was guided. The following alkaline leaching experiments showed that under the conditions of 300 g/L NaOH concentration, 3.5 mL/g liquid–solid ratio, 160 °C leaching temperature and 1 h leaching temperature, 85.0 % of aluminum in mixed oxides can be leached and scandium can be enriched by 13 times. Finally, under the conditions of initial sulfuric acid concentration of 4 M, temperature of 100 °C, leaching time of 30 min and liquid–solid ratio of 4 mL/g, the leaching rates of Al, Ni, Mg, Co, Mn, Fe and Sc in alkaline leaching residue were 92.0 %, 97.5 %, 98.4 %, 92.3 %, 62.7 % and 68, respectively. A new procedure for treating lateritic nickel ore is proposed, allowing for thorough recovery and usage of important components. The technique is green and environmentally benign, resulting in closed-loop production of laterite-nickel ore treatment with numerous application possibilities.

Analysis Based on Intelligent Model about Intelligent Integrated Design of Additional Building Components and Solar Heat Collection Facilities for Offshore Residences

Using an intelligent model, this paper explores the incorporation of supplementary components in offshore buildings and their utilization within offshore residences. Additionally, it investigates the intelligent integration of solar heat collection systems with residential structures. Based on this computer intelligent method, by the building the 3D model, the potential impacts of additional components of offshore residential buildings on heat collection facilities are analyzed and the means for expanding the usage of additional components by the intelligent integrated design with heat collection facilities are explored. By conducting surveys and studying existing buildings, we analyze practical issues and propose viable solutions through integration with architectural design. This procedure lays down a solid theoretical groundwork to propel the intelligent amalgamation of solar water heaters with residential buildings situated offshore.The computer intelligent method discussed in the paper will enhance the analytical approach and efficiency for evaluating intelligent integrated building designs.

UIGuider: Detecting Implicit Design Guidelines Using a Domain Knowledge Graph Approach

Mobile application developers must adhere to a set of design guidelines to ensure consistency in graphical user interfaces (GUIs) and strive for best practices. Violating these widely accepted design guidelines can negatively impact user experience and diminish an application’s market value. Although a few explicit design guidelines outline specific user interface layouts to avoid, substantial design knowledge remains scattered across various web pages. This implicit design knowledge includes design guidelines for UI component usage scenarios, anatomy, fine-grained categorizations, etc. Manually inspecting design guideline violations is knowledge-intensive and time-consuming, demanding high levels of expertise. To address this, we propose UIGuider, a novel approach to automatically constructing a component-based design knowledge graph using multimodal data. UIGuider can discern valuable text containing design guidelines, extract component and concept entities, and establish relationships among them. Our experiments demonstrate the effectiveness and usefulness of UIGuider in automatically detecting implicit design guidelines and constructing domain knowledge graphs. Additionally, the result presentation of a design violation detection tool is optimized. The results of user studies confirm that the use of the knowledge graph and real-world app datasets enhances the overall usability of the tool.

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation

Recently, Table Structure Recognition (TSR) task, aiming at identifying table structure into machine readable formats, has received increasing interest in the community. While impressive success, most single table component-based methods can not perform well on unregularized table cases distracted by not only complicated inner structure but also exterior capture distortion. In this paper, we raise it as Complex TSR problem, where the performance degeneration of existing methods is attributable to their inefficient component usage and redundant post-processing. To mitigate it, we shift our perspective from table component extraction towards the efficient multiple components leverage, which awaits further exploration in the field. Specifically, we propose a seminal method, termed GrabTab, equipped with newly proposed Component Deliberator, to handle various types of tables in a unified framework. Thanks to its progressive deliberation mechanism, our GrabTab can flexibly accommodate to most complex tables with reasonable components selected but without complicated post-processing involved. Quantitative experimental results on public benchmarks demonstrate that our method significantly outperforms the state-of-the-arts, especially under more challenging scenes.

Is Less Sometimes More? An Experimental Comparison of Four Measures of Perceived Usability.

In usability studies, the subjective component of usability, perceived usability, is often of interest besides the objective usability components, efficiency and effectiveness. Perceived usability is typically investigated using questionnaires. Our goal was to assess experimentally which of four perceived-usability questionnaires differing in length best reflects the difference in perceived usability between systems. Conventional measurement wisdom strongly favors multi-item questionnaires, as measures based on more items supposedly yield better results. However, this assumption is controversial. Single-item questionnaires also have distinct advantages and it has been shown repeatedly that single-item measures can be viable alternatives to multi-item measures. N = 1089 (Experiment 1) and N = 1095 (Experiment 2) participants rated the perceived usability of a good or a poor web-based mobile phone contract system using the 35-item ISONORM 9241/10 (Experiment 1 only), the 10-item System Usability Scale (SUS), the 4-item Usability Metric for User Experience (UMUX), and the single-item Adjective Rating Scale. The Adjective Rating Scale represented the perceived-usability difference between both systems at least as good as, or significantly better than, the multi-item questionnaires (significantly better than the UMUX and the ISONORM 9241/10 in Experiment 1, significantly better than the SUS in Experiment 2). The single-item Adjective Rating Scale is a viable alternative to multi-item perceived-usability questionnaires. Extremely short instruments can be recommended to measure perceived usability, at least for simple user interfaces that can be considered concrete-singular in the sense that raters understand which entity is being rated and what is being rated is reasonably homogenous.

Evolution of a Combined UV/Vis and NMR Setup with Fixed Pathlengths for Mass-limited Samples.

The investigation of reaction mechanisms is a complex task that usually requires the use of several techniques. To obtain as much information as possible on the reaction and any intermediates - possibly invisible to one technique - the combination of techniques is a solution. In this work we present a new setup for combined UV/Vis and NMR spectroscopy and compare it to an established alternative. The presented approach allows a versatile usage of different commercially-available components like mirrors and fiber bundles as well as different fixed pathlengths according to double transmission or single transmission measurements. While a previous approach is based on a dip-probe setup for conventional NMR probes, the new one is based on a micro-Helmholtz coil array (LiquidVoxel™). This makes the use of rectangular cuvettes possible, which ensure well-defined pathlengths allowing for quantification of species. Additionally, very low quantities of compound can be analyzed due to the microfabrication and small cuvette size used. As proof-of-principle this new setup for combined UV/Vis and NMR spectroscopy is used to examine a well-studied photochromic system of the dithienylethene compound class. A thorough comparison of the pros and cons of the two setups for combined UV/Vis and NMR measurements is performed.

Reliability Prediction of Radiation Induced Failures in Semiconductor Packages

The growth and usage of semiconductor components has risen greatly due to evolution of applications in industries such as aerospace, defense, and automotive, in both the commercial and government sectors. Among the different types of components that make their way into such applications, digital logic and memory-based devices are of prime importance due to the ever-demanding need to store and compute vast amounts of data. This brings to the forefront the reliability of such components, especially in demanding applications in aerospace and defense where components are exposed to extremely harsh environments where high performance is critical. This is where we find that reliability is largely dependent on the susceptibility of semiconductor components to radiation induced effects - total ionizing dose (TID) and single event effects (SEE). Optimization in design, process, and packaging could make microelectronics more reliable to the radiation effects. Packaging material and thickness affect the incident flux of radiation on microelectronics and can help mitigate both dose and SEE effects in electronics. Additionally, packaging materials should not generate a high flux of secondary particles when exposed to environmental radiation (an example is alpha emissions from impurities in package mold compound or underfill). In this paper, the behavior of semiconductors at the component level due to radiation effects is evaluated. A reduced order model approach is presented where the analysis is performed at the functional block level then aggregated into component. The behavioral model can be used to predict the behavior across different operating, design, and process conditions.