Computer Spreadsheet Research Articles

Knowledge and attitude towards HPV infection, HPV vaccination and cervical cancer among middle- and high-school students in Gwalior

ABSTRACT Background: There is little information available regarding knowledge and attitudes towards the human papillomavirus (HPV) and its vaccines among the students in mainland India. Furthermore, there has not been much information accessible on how to increase their understanding of and readiness to receive HPV and associated vaccines, which could be crucial for the future success of vaccination campaigns. This study aims to assess the knowledge and attitude of middle- and high-school students towards HPV infection, HPV vaccine and cervical cancer prevention. Method: The present study was an observational study conducted from July 2023 to December 2023 in the Gwalior District of Northern India among the 490 students aged 11–16 years. A self-administered questionnaire was used to collect information from the students. The collected data was entered into an Microsoft Excel spreadsheet for easy calculation. Frequency and percentage were calculated and significance in proportion was tested using the chi-square test. P value was judged at a 5% level of significance. Results: The average age of the student was 13.67 ± 1.95 years range between 11 years and 16 years with a 0.52:1 sex ratio. Out of the 490 enrolled participants, 41.0% of subjects had previously heard about cervical cancer. About 64.7% of students heard it from the mass media. A total of 181 (36.9%) knew that cervical cancer was caused by HPV infection. Only 168 (34.3%) participants knew the fact that men were also infected by HPV infection. Only 12.4% knew that a healthy-looking person could have an HPV infection. Only 11.6% had shown their willingness for the HPV vaccination. There was a significant difference observed among the males and females regarding knowledge questions. Males (54.76%) heard more about cervical cancer than females (33.85%). Males had more knowledge (60.1%) regarding cervical cancer caused by HPV infection as compared with females (24.8%). Conclusion: Students’ awareness of HPV and the HPV vaccine was low. Training that focusses on HPV information in addition to sex education is needed to promote HPV vaccine coverage.

Classification of Social Assistance Recipients Using Machine Learning

Social assistance is assistance funds provided by local governments. In the Minister of Home Affairs Regulation No. 32 of 2011, it is explained that social assistance is the provision of assistance in the form of money/goods from local governments to individuals, families, groups, and communities which is not continuous and selective in nature. One of the villages in North Lampung still often experiences problems, including high poverty rates and low education levels. The Naive Bayes algorithm method was chosen to classify aid recipients based on employment, age, and income. The spreadsheet calculations show that the Family Hope Program Assistance (PKH) class is 135 people and the Direct Cash Assistance (BLT) class is 39 people with a total of 176 people in the social assistance recipient data. From the results of Rapid Miner calculations, the accuracy value for the PKH and BLT classes is 100.00%.

Determination of Energy Losses of the Crank Press Mechanism

This paper focuses on determining the friction energy loss in the mechanism of a mechanical crank press. After defining the crank press mechanism and how it works, we describe the energy balance of a technological operation—forming. Four distinct methodologies for calculating friction loss in the mechanism are then presented, namely an empirical method, a spreadsheet calculation utilising force decomposition in a crank mechanism, an analytical calculation of the dynamic behaviour of a press, and a multibody simulation. Each additional approach expands the possibilities for approaching reality, but as the primary aim of the study is to compare the approaches, these possibilities are not exploited. Multibody simulation has proved itself to be accurate and suitable for simulating press mechanisms and investigating their dynamics. Multibody simulation is a much more powerful tool that can lead to a digital twin, which can help us to develop a less energy-demanding press. Confirmation of the multibody simulation results is the main outcome of the comparison and will be used in future work.

Required Minimum Distribution (RMD) Spreadsheet Calculators Based on the SECURE Act of 2022

Required Minimum Distribution (RMD) Spreadsheet Calculators Based on the SECURE Act of 2022

On the Assignment of Target/Ambient Illuminance Ratio in Designing Mean Room Surface Exitance

ABSTRACT In the application of lighting design objectives (LiDOs) procedure, the target first reflected flux (FRF) may at times underestimate or overestimate the expected FRF based on the specified mean room surface exitance (MRSE). In that case, further manipulation of the direct illumination is required. To avoid such remedial actions, the appropriate target/ambient illuminance ratio (TAIR) for each room surface shall be assigned. This article aims to propose methods to optimally assign the TAIR values, demonstrated through analytical calculation and worked examples. In the recommended scenario, the designers are given the freedom to choose the desired TAIR for each surface, except for the last (n-th) surface, which must be computed individually to guarantee that the specified MRSE is achieved in the actual result. An optimization approach to minimize the energy associated with the total direct flux is also proposed using Monte Carlo simulation technique, which can be done using a simple calculation spreadsheet, in which the lower and upper boundaries for each TAIR value are introduced as input. Overall, this article has contributed to giving better insight on the MRSE design calculations, while helping lighting designers to satisfy the target appearance, without losing too much flexibility.

Rapid predictive dosimetry for Second Strike prescription based on whole body radioiodine kinetics in differentiated thyroid cancer.

In systemic radionuclide therapy such as radioiodine (I-131) for differentiated thyroid cancer, post-therapy dosimetry is essential to verify pre-therapy predictions, which in turn informs the next treatment. However, post-therapy multi-time point dosimetry is resource intensive and unfeasible in many institutions. We devised a schema of rapid predictive dosimetry by circumventing post-First Strike multi-time point dosimetry with carefully assigned gestalt values of predicted kinetics to personalise the Second Strike prescription. Verification is performed after the First Strike. Patient-specific time-activity curve is plotted from serial measurements of whole body exposure rates to obtain its decay constant; its inverse is the whole body Time Integrated Activity Coefficient (TIAC). The percentage of whole body TIAC attributed to blood is carefully assigned by gestalt based on population kinetics tabulated in Part 1, adjusted by any metastasis on I-131 whole body scintigraphy. Marrow absorbed dose is calculated by EANM formularism. Lung safety threshold at 48h post-therapy is linearly scaled by height, where the patient's risk of lung radiotoxicity is revealed from the whole body time-activity curve value at 48h. Predictive prescription for the second I-131 fraction (Second Strike) is by careful gestalt assessment based on predicted kinetics, remaining marrow and lung tolerance, marrow dose rate constraint per fraction (0.265 Gy/h), local regulatory and facility requirements in relation to radiation protection. Tumour dosimetry is obviated under the assumption of severe tumour absorbed dose heterogeneity. The final prescription for the Second Strike is usually the lowest I-131 activity amongst all clinical, dosimetric and regulatory constraints. This schema is incorporated into a Predictive Calculator spreadsheet for rapid predictive dosimetry, and is freely available. Calculations may be completed within minutes to generate personalised predictive prescriptions, making it feasible for routine clinical implementation. Our innovative schema of rapid verification and predictive dosimetry bridges the technological gap between empiric vs theranostic prescription to help institutions modernise. Its expeditious design makes this schema feasible to be integrated into the routine clinical workflow. Its predictive estimates provide invaluable dosimetric insight to inform the next I-131 fraction, allowing every prescription to be scientifically rationalised and personalised according to individual circumstances.

Integrated Mass and Energy Balance Course Project using Spreadsheet for a Chemical Engineering Degree Program

In this innovation, team projects from two courses offered in different semesters are integrated. On top of that, students are trained to use a spreadsheet-based tool to solve the problem in the project. Those two courses are Mass Balance (SETK 1123) and Energy Balance (SETK 2133) offered to Chemical Engineering students in Universiti Teknologi Malaysia at their second and third semester. The main objective of the innovation is to scaffold the students’ understanding of the problems given to them in the projects. At the end of the project, they should be able to clearly see the overall processes in a typical chemical industry, starting from raw materials to the targeted products, by-products, and wastes produced. In addition to that, the projects also foster digital skills by enhancing the students’ skills to use the spreadsheet tools to solve Chemical Engineering problems. This is inline with their study as the students learnt about computer programming and spreadsheet tools in their first semester. From the students’ reflections, it can be concluded that this innovation are able to increase the comprehension of the students on the two courses, increase the skills in using spreadsheet tools for solving problems and also inculcate critical thinking and problem solving skills.

Technical note: Excel spreadsheet calculation of the Henssge equation as an aid to estimating postmortem interval

In forensic cases for which the time of death is unknown, several methods are used to estimate the postmortem interval. The quotient (Q) defined as the difference between the rectal and ambient temperature (Tr − Ta) divided by the initial difference (T0 − Ta) represents the progress of postmortem cooling: Q = (Tr − Ta)/(T0 − Ta), (1 ≥ Q ≥ 0). Henssge was able to show that with the body weight and its empirical corrective factor, Q can be reasonably predicted as a double exponential decay function of time (Qp(t)). On the other hand, actual Q is determined as Qd by measuring Tr and Ta under an assumption of T0 = 37.2 °C. Then, the t value at which Qp(t) is equal to Qd (Qd=Qp(t)) would be a good estimate of the postmortem interval (the Henssge equation). Since the equation cannot be solved analytically, it has been solved using a pair of nomograms devised by Henssge. With greater access to computers and spreadsheet software, computational methods based on the input of actual parameters of the case can be more easily utilized. In this technical note, we describe two types of Excel spreadsheets to solve the equation numerically. In one type, a fairly accurate solution was obtained by iteration using an add-in program Solver. In the other type (forward calculation), a series of Qp(t) was generated at a time interval of 0.05 h and the t value at which Qp(t) was nearest to Qd was selected as an approximate solution using a built-in function, XLOOKUP. Alternatively, a series of absolute values of the difference between Qd and Qp(t) (|Dq(t)| = |Qd − Qp(t)|) was generated with time interval 0.1 h and the t value that produces the minimum |Dq(t)| was selected. These Excel spreadsheets are available as Supplementary Files.

Methods for Estimating Hydrogen Fuel Tank Characteristics

Abstract The pressure vessels needed to store hydrogen for next-generation hydrogen fuel cell vehicles are expected to be a substantial portion of the total system mass, volume, and cost. Gravimetric capacity, volumetric capacity, and cost per kilogram of usable hydrogen are key performance metrics that the U.S. Department of Energy (DOE) uses to determine the viability of hydrogen fuel cell systems. Research and development related to hydrogen storage systems covers a wide range of potential operating conditions, from cryogenic temperatures to high temperatures (above ambient) and low pressure to high pressure. Researchers at PNNL have developed methods for estimating these key pressure vessel characteristics to support on-board hydrogen storage system design and performance evaluation and to support decision-making about DOE hydrogen storage system research investments. This article describes the pressure tank estimation methodology that has been used as a stand-alone calculation and has been incorporated into larger system evaluation tools. The methodology estimates the geometry, mass, and material cost of type I, type III, and type IV pressure vessels based on operating pressure and material strength at the system's operating temperature, using classical thin-wall and thick-wall pressure vessel stress calculations. The geometry, mass, and material cost requirements of the pressure vessel have significant impacts on the total system performance. For example, hydrogen storage materials that can separately achieve a very high hydrogen density can be deemed impractical for use in fuel cell vehicle hydrogen storage systems because the pressure tank containing them is too large, heavy, or expensive. This article describes the design philosophy and analytical process of the tank characteristic estimation methodology, which has been implemented in spreadsheet calculation tools and system-level analysis tools used by DOE researchers. Each of the three tank types (type I, type III, and type IV) uses a different analysis methodology with some common elements. This article also provides examples of implementing the methodology to perform parametric studies of all three pressure vessel types. The goal of this article is to present the methodology in sufficient detail so it can be implemented in other hydrogen fuel cell vehicle design and analysis tools.

Modeling and simulation of successive breakdown events in thin gate dielectrics using standard reliability growth models

The application of constant electrical stress to a metal–insulator-semiconductor (MOS) or metal–insulator-metal (MIM) structure can generate multiple breakdown events in the dielectric film. Very often, these events are detected as small jumps in the current–time characteristic of the device under test and can be treated from the stochastic viewpoint as a counting process. In this letter, a wide variety of standard reliability growth models for this process are assessed in order to determine which option provides the best simulation results compatible with the experimental observations. For the generation of the breakdown event arrivals, two alternative stochastic methods for the power-law Poisson process are investigated: first, the inversion algorithm for the cumulative distribution function and second, an on-the-fly method based on the so-called rejection algorithm. Though both methods are equivalent, the first one is more appropriate for data analysis using spreadsheet calculations while the second one is highly suitable for circuit simulation environments like LTSpice. The connection of the selected nonhomogeneous Poisson process with the Weibull model for dielectric breakdown is also discussed.

Analisa Nilai OTTV (Overall Thermal Transfer Value) pada Bangunan Pemerintahan di Kota Lhokseumawe

Global warming and the energy crisis are the biggest problems in the world today, many efforts must be made to avoid them. One of them is by continuing to increase the implementation of energy efficient buildings. In Indonesia, energy-efficient buildings must meet the requirements set out in SNI 03-6389-2020 where the maximum limit for the OTTV (Overall Thermal Transfer Value) value is 35 Watt/m² and has been enforced by the Government from now on. However, these requirements have not been fully fulfilled by investors, as well as planning agencies or consulting units. There are still many buildings whose OTTV value is not yet known. As is the case with the object of this research, namely the Lhokseumawe Mayor's Office building. This research aims to calculate and determine the OTTV value for the research object of the Lhokseumawe Mayor's Office building, so that later it will be known whether the building is categorized as an energy efficient building or not. The research method used is an experimental quantitative method using the OTTV Microsoft Excel spreadsheet calculator from the Ministry of Public Works and Public Housing (BGH-PUPR). The results of this research analysis show that the Lhokseumawe Mayor's Office building has many large openings and has sunlight fenestration, so that the overall OTTV value on the building envelope is below the SNI standard threshold of 35 Watt/m² and can be categorized as an energy efficient building.

GENERAL SOLUTION OF TWO-DIMENSIONAL PROJECTILE MOTION WITH AIR RESISTANCE

In this study, two-dimensional projectile motion is considered under the effect of a general power law model of air resistance. Classically, a projectile is treated as a point mass with mass m moving in a uniform gravitational field. The projectile is launched from the ground with an angle α to horizon. the drag force is assumed to be proportional to the speed raised to the power n. The analysis of the problem is performed using Cartesian coordinates. A general exact parametrical solution (with respect to the angle of motion) is derived for any power n, following simple steps: 1) find the speed in the direction of the axis x (horizontal – no gravity) 2) find the vertical component of the speed 3) find the time 4) find the horizontal position of the projectile and finally,5) find the vertical position of the projectile. Steps 1) and 2) give explicit closed form equations and the rest are given by exact integrals which can be solved numerically. In this study spreadsheet calculation are performed using trapezoidal rule of integration. The cases of motion in avacuum and linear drag law are used to check the accuracy of the numerical calculations.The importance of the proposed study is three-fold: a) The method of the derived solution is new, and couldnt be found elsewhere b) The derived equations make it possible to use spreadsheets for presenting the subject (no programming is required), and thus, serve as a tool to enhance teaching c) The derived equations are general for any power n thus, the same procedure could be used to find the position of the projectile at any time.

Correction to “Exploring the Nature of the H2 Bond. 1. Using Spreadsheet Calculations To Examine the Valence Bond and Molecular Orbital Methods”

ADVERTISEMENT RETURN TO ARTICLES ASAPAddition/CorrectionNEXTORIGINAL ARTICLEThis notice is a correctionCorrection to “Exploring the Nature of the H2 Bond. 1. Using Spreadsheet Calculations To Examine the Valence Bond and Molecular Orbital Methods”Arthur M. Halpern*Arthur M. HalpernMore by Arthur M. Halpernhttps://orcid.org/0000-0002-2211-2826 and Eric D. GlendeningEric D. GlendeningMore by Eric D. GlendeningCite this: J. Chem. Educ. 2023, XXXX, XXX, XXX-XXXPublication Date (Web):May 17, 2023Publication History Published online17 May 2023https://doi.org/10.1021/acs.jchemed.3c00363© 2023 American Chemical Society and Division of Chemical Education, Inc.RIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (577 KB) Get e-Alerts Get e-Alerts

Teaching Sprinkler Irrigation Engineering by a Spreadsheet Tool

Since being released 40 years ago, computer spreadsheets have proven to be worthwhile for use in educational contexts. There is plenty of evidence for this in practically every scientific discipline and engineering field. In view on this fact, the present work exposes a didactical resource, named the sprinkler irrigation tool, developed in Excel® spreadsheet licensed by 2018 Microsoft©. The objective of this tool is to offer an alternative to students in irrigation engineering, particularly for those training in the design of sprinkler irrigation systems so they can develop their theoretical knowledge and practical skills acquired in laboratory and field experiments. The main findings reported in this paper address well-agreed methodologies for evaluating radial patterns of precipitation rates, diameter distribution frequency, ballistic simulation of water drops’ movement through air, kinetic energy, and performance indicators as part of the core parameters of efficient irrigation system management. This computing tool provides outcomes in tabular and graphical formats that are consistent with those found in studies previously published in specialized literature on related topics. Likewise, spreadsheets have been proven to be adequate pedagogical instruments on the path to achieving meaningful learning; however, this assertion still needs to be confirmed through a rigorous study of students who have used the developed tool.

Assessing the “sufficient ventilation” requirement for Austrian buildings: development of a Monte Carlo based spreadsheet calculation to estimate airing intervals and mould risk in window ventilated buildings

In Austria the lack of guidelines or standards has caused many discussions and disputes on the question if “sufficient ventilation” can be ensured with window airing only, in particular in newly constructed, airtight residential buildings. This work presents the development of a calculation method aiming to provide a simple-to-use tool to estimate the risk of mould growth and the window airing interval required to ensure good indoor air quality assuming a range of different boundary conditions and occupant behaviours. The method implements a Monte Carlo approach calculating 1000 single zone mass balances for carbon dioxide (on a room level) and water vapor (on a housing level). Air infiltration through the building envelope is accounted using the so-called LBL-model. The time interval between window airing required to comply with CO2 limit value is estimated by calculating the time evolution of the CO2 concentration for 1000 different parameter combinations. The mould risk is estimated by a 1000-fold calculation of the daily averaged indoor air humidity and the resulting water activity on critical wall surfaces. The results are displayed as probability distributions providing information on the risk that the queried situation can or cannot ensure “sufficient ventilation”. Exemplary calculations for bedrooms of new multifamily buildings estimate that intervals between window airing events (to keep time-averaged CO2-concentration below 1000 ppm), will vary between 23 and 190 minutes (representing the 5th and the 95th percentile). This is clearly below an acceptable intervention interval for bedrooms. For living rooms, the assessment shows a strong sensitivity on the “accessible” air volume. The humidity assessment for this type of housing suggests that mould growth could occur in about 17% of the cases even though air exchange corresponding to two airing events per day were assumed. An additional outdoor air exchange of up to 40 m³/h would be required to reduce the mould risk fraction to <1%, suggesting the need for mechanical ventilation concepts in residential housing to enable healthy indoor environment independently of occupant behaviour.

Determination of rheological properties of crude oil blends

The article presents an overview of widely applicable methods of calculation of viscosity of liquid mixtures, as well as rheology characterisation of crude oil. It is focused on the evaluation of rheological properties, particularly in order to assess the flow conditions in pipelines at different temperatures and flow rates, especially in the case of waxy crude oils. A specific calculation procedure was proposed and described, suitable for practical purposes, i.e. field implementation in the form of a spreadsheet calculator. Using this method, it is possible to calculate the rheological properties of a mixture of known components at a given temperature over a range of shear gradients corresponding to a specified range of flow rates in a circular pipeline of specified diameter. The proposed calculation method was verified on the properties of specific types of oils and their mixtures.

Step-by-Step Process for Assessing the Economic Impact of Regional Medical Campuses in Canada

Background: Regional medical campuses (RMCs) create positive economic impacts in communities and small cities. RMCs increase educational capacity, medical services, and address the shortage or maldistribution of physicians in rural areas. Our paper answers the question: How do you assess the economic impact of a RMC? Methods: The Canadian Input-Output (I-O) model and the Simplified American Council on Education (ACE) model are adapted to assess the economic impact of an individual RMC using a step-by-step process. The models are tested using data from three Canadian RMCs. Results: A comparison of the two models found similarities with data requirements and spreadsheet calculations. However, the Canadian I-O model spreadsheet is linked to Statistics Canada multipliers and calculations are more complex. Outputs are calculated for multiple economic variables. The Simplified ACE model, in contrast, uses a single multiplier and provides a single number by input category and a cumulative total of all impacts. Conclusion: Both models successfully assess economic impacts of RMC. The step-by-step process allows RMC administrators and others to understand the limitations of each model, but also facilitates an in-house economic assessment of RMC. The authors provide guidance on choosing the best model.

Spreadsheet Calculation of Energy Based Method to Predict Temperature in Concrete Slabs

Under various fire scenarios, both heat transfer analysis and structural analysis are required to assess fire resistance of reinforced concrete member. For heat transfer analysis, Finite element method and Finite difference method are complicate for practical use. To simply predict temperature in concrete slab, the energy based method is a simplified FDM based on the predetermined temperature profile and the energy conservation. However, the method provides an inaccurate temperature prediction. To improve the prediction accuracy, this study reformulates the energy based method and investigates a suitable predetermined temperature profile. Furthermore, to facilitate design engineers, the method is proposed as a simple spreadsheet calculation. Through the empirical study of the FEM temperature profile, the exponent is found to be logarithmic proportional to the ratio of the lowest temperature to the highest in concrete slabs. The power function with variation of the exponent provides the better accurate temperature prediction. Comparing with FEM analysis and experimental results, the spreadsheet calculation is validated for temperature prediction of concrete slab under various fire loads.

Improvement to Gravity Drainage Recovery by Repressurization as a Criterion to Screen and Rank Naturally Fractured Reservoirs for Gas Injection

Summary Many of the naturally fractured carbonate reservoirs of the Middle East exhibit low natural-depletion recoveries. The reason is that most of their oil reserves are stored in the low-permeability host rocks and are left behind by the fast advancing gas/oil contact (GOC) and water/oil contact (WOC) in fractures. Producing the remaining oil in the large gas-invaded zone of these reservoirs has been a crucial reservoir management issue. We show in this study using experimental observations, analytical calculations, and numerical investigations that repressurizing naturally fractured reservoirs (NFRs) by crestal immiscible gas injection has the potential to produce a large portion of this remaining oil by improving gravity drainage (GD) through two main mechanisms. One is that at higher pressures, the gas-oil interfacial tension (IFT) and hence the capillary forces that control recovery by GD are lessened, allowing additional recovery. This mechanism is aided by the other one, which is swelling of the oil at higher pressures. In this way, repressurization is thought to be not only a means for pressure maintenance but also a methodology for enhanced-oil recovery (EOR). This is confirmed by both laboratory studies and field performance of large-scale gas injection projects. Despite the desire for implementation of projects of repressurization, gas availability and cost of these projects are important concerns, requiring a cost-benefit analysis. Screening and ranking methodologies have been previously presented for some EOR techniques but not for repressurization by gas in NFRs. Evaluating the performance of gas injection in NFRs is often done using methodologies such as numerical simulations, which are in-depth, costly, and tedious. The methodology developed here is simple, requiring spreadsheet calculations. To develop the methodology, we first obtain simple relations to calculate additional GD recovery by considering the interplay of capillary and gravity forces in a matrix block subjected to pressurization by equilibrium gas injection and then use experimental data from literature to show that these relations can predict primary and secondary GD recoveries to a good approximation. We also show by mechanistic studies using a history-matched numerical model that IFT reduction and oil swelling are the main mechanisms contributing to additional oil recovery. Then, we propose a methodology to screen and rank candidate NFRs for gas injection that uses commonly available reservoir data and is based upon two criteria, these being additional oil recovered from a matrix block by pressurization and required volume of gas to produce an additional barrel of oil. We then implement this methodology to more than 20 Iranian NFRs and identify six reservoirs with potential for additional recovery of more than 20%. By quantifying and including the uncertainties associated with the reservoir data, we illustrate that for the reservoirs under study, capillary pressure parameters along with matrix-block height are the main parameters affecting GD recovery and should be characterized more accurately.

How can innovation district performance be assessed? Insights from South East Queensland, Australia

Purpose Many cities across the world are actively investing in ways to excel in the innovation economy through the development of innovation districts as one of the most popular policy options. While innovation districts are among the leading drivers of innovation activities in cities, they are also high-cost and high-risk investments. Besides, holistic approaches for assessing these districts’ multifaceted performances are scarce. Bridging this knowledge gap is critical, hence, this paper aims to explore how innovation district performance can be assessed through a classification framework. Design/methodology/approach The paper introduces a multidimensional innovation district classification framework and applies it into Australian innovation districts with divergent features, functions, spatial and contextual characteristics. The study places 30 innovation districts from South East Queensland under the microscope of the framework to assess the multifaceted nature of innovation district performance. It uses qualitative analysis method to analyse both the primary and secondary data, and descriptive analysis with basic excel spreadsheet calculations to analyse the validity of the data. Findings The data analysis clusters 30 innovation districts from South East Queensland under three performance levels – i.e. desired, acceptable and unsavoury – concerning their form, feature and function characteristics. Originality/value The results disclose that the framework is a practical tool for informing planners, developers and managers on innovation district performances, and it has the capability to provide guidance for policymakers on their policy and investment decisions regarding the most suitable innovation district types and characteristics to consider.