Technical Variables Research Articles

Forecasting the European Monetary Union equity risk premium with regression trees

This paper investigates whether classification and regression trees ensemble algorithms such as bagging, random forests and boosting improve on traditional parametric models for forecasting the equity risk premium. In particular, we work with European Monetary Union (EMU) data for the period from its foundation in 2000 to 2020. The paper first compares the monthly out-of-sample forecasting ability of multiple economic and technical variables using univariate linear regression models and regression tree techniques. The results obtained suggest that regression trees do not show better forecasting ability than a first-order autoregressive benchmark model and univariate linear regressions. The paper then analyses asset allocation strategies with regression trees and checks whether these can select the best economic predictors to form dynamic portfolios composed of two assets: a risk-free asset and an equity index. The results indicate that trading strategies built with two or three economic predictors selected with boosting and random forest algorithms can generate economic value for a risk-averse investor with a quadratic utility function.

Considerations before the application of 5-hydroxymethylation levels of long non-coding RNAs for non-invasive cancer diagnosis.

Previous studies have suggested that aberrant 5-hydroxymethylcytosines (5hmC) modifications are related to cancer pathobiology. Genome-wide profiling 5hmC in circulating cell-free DNA (cfDNA) using the highly sensitive chemical labeling-based 5hmC-Seal technique has been demonstrated to have the potential to be a robust epigenomic tool for cancer biomarker discovery. Prior studies have mostly focused on cfDNA-derived 5hmC-Seal data summarized in well-annotated genic features (e.g., gene bodies) or unbiased bins. Zhou et al. recently proposed long non-coding RNAs (lncRNAs) as an alternative molecular target for biomarker discovery using publicly available 5hmC-Seal data. Considering its potential clinical impact, we would like to comment on Zhou et al. and advocate more serious consideration of critical issues such as the availability of clinical information and technical variables, especially when performing secondary analysis using publicly available data, with the aim of improving data transparency and translatability.

A composite indicator index as a proxy for measuring the quality of water supply as perceived by users for urban water services

• Development of a composite indicator to measure the quality of water supply based on variables that are considered to affect users' perceptions of the quality of water supply. • A CI that includes relevant aspects that determine users' perceptions of water supply quality. • A new CI application, using MCDA with common DEA weights, to calculate a proxy for water supply service quality. • A CI that combines economic, technical and service quality variables, as they may be perceived by users, into a single indicator for water managers. The objective of this study is to develop a composite indicator (CI) to measure the quality of water supply based on the variables that are considered to affect users’ perceptions of water supply quality. The proposed CI includes six relevant aspects that determine users’ perceptions of water supply quality (network quality, water quality, water price, complaints, inconvenience caused by upgrading the network, and continuity of service) in a simple, economical, and objective way, using multi-criteria decision analysis (MCDA) with weights based on data envelopment analysis (DEA). The CI was applied to 32 municipalities in the metropolitan area of Valencia (Spain). The results show the high quality of the water supply service in this area. The use of this CI to measure the quality of the water supply service may prove useful for public institutions and managers of urban water supply, giving them an instrument to improve the management, efficiency, and quality of the water services they provide.

Društveni izazovi u obrazovanju za budućnost održivog inženjerstva - transformativne smernice

Engineers are educated and trained to take the lead in sustainable development, tackling worldwide difficulties like depletion of natural resources, contamination, fast-growing populations, and ecological degradation. The relevance of government entities dealing with sustainable development is linked to the societal problem of future education. While all social-economical and/or technical variables play a role in determining the outlook in which each competence originates, novel-adaptive thinking, social intelligence, design mentality, and sense-making, social imagination (cross-sectoral fertilization), cognitive load management, virtual collaboration and networking, and novel media literacy suggest representing crucial drivers for the development of each ability. An extensive selection of continuing education programs enables graduates to improve subject-specific skills and extend their professional networks, with the objective of preparing motivated and highly-trained professionals for the job market. It is feasible to achieve the aim of a sustainable engineering future by recognizing the relevance of these criteria, comprehending, and adequately fulfilling them.

Pengaruh E-Commerce Terhadap Pendapatan UMKM Yang Bermitra Gojek Dalam Masa Pandemi Covid-19

Tight business competition, especially during the COVID-19 pandemic until the second semester in 2021, is still very much felt. Consumer incomes are starting to decline and the urgency of using technology is due to direct buying activities that are recommended to use electronic money more nowadays. The emergence of the e-commerce market has created vast market opportunities for retailers and logistics service providers, can increase purchase and sales satisfaction and can facilitate the ability of logistics service providers to manage greater. This is what makes us as researchers want to know how much influence e-commerce has on income, especially for MSMEs that have used e-commerce in the South Sumatra area. The population in this study is MSME users of e-commerce. The sampling technique used non-probability sampling with purposive sampling type obtained as many as 397 samples. By using the multiple linear regression technique, the results obtained that the interface, navigation, content, and reliability variables have a significant effect on the income of MSMEs in South Sumatra during the COVID-19 pandemic, while technical variables have no effect on the income of MSMEs in South Sumatra.

Alternative Livelihood Potential of Fishermen Households in The Liukang Tangaya Aquatic Conservation Area, Pangkajene Islands Regency

The potential and development of alternative livelihoods for fishermen households in marine conservation areas must be relevant to or refer to the context of contextual technical considerations (locality), and not a deduction or bottom-up policies derivation so that they can grow and develop (facilitating) local fishermen's households in production activities that are complementary to increasing the spirit of the locality, community harmonious with natural resoureces and welfare through the opening of new economic spaces that can be accessed and controlled by the local community themselves. This type of research is qualitative with a case study approach. Data was collected through direct observation and in-depth interviews with some informants. There are 30 fisherman’s household which is used as primary data source informants. Qualitative analysis based on technical variables, namely community interest, availability of local raw materials/natural resources, availability of labor and market opportunities through content analysis from compilation of interview results through snowball technique with reference to triangulation principle. While quantitative data analysis is carried out with business feasibility indicators for new alternative types of livelihoods that can be applied to fishermen households, namely B/C Ratio indicators, Return Of Investment (ROI), and Payback Period (PP). Research result show that based on the analysis of technical variables, the potential alternative livelihoods carried out by fishermen households are seaweed aquaculture, floating net cage aquaculture, processed fishery products, coconut and household scale chicken and duck farming. The B/C ratio value of these businesses is > 1 with very profitable criteria to do.

Position-specific physical and technical demands during the 2019 COPA América Football tournament.

Despite a substantial body of literature on the physical and technical performance characteristics of football players in Asian and European tournaments, research on South American football players is scarce. The purpose of the study was to examine the physical and technical characteristics of football players according to specific playing positions at the 2019 COPA América tournament. A total of 180 match observations from 13 games were monitored using the InStat tracking system. Players were grouped into the following five playing positions: central defenders (n = 45), wide defenders (n = 46), central midfielders (n = 50), wide midfielders (n = 17), and forwards (n = 22). Descriptive statistics (means ± standard deviations) and the one-way analysis of variance were used to analyse the data. Findings showed that the total distance covered by central midfielders (10 553 ± 763 m) was significantly (p < 0.05) higher than that of central defenders (9226 ± 720 m; effect size (d) = 1.79), wide defenders (9929 ± 633 m; d = 0.89) and forwards (9383 ± 820 m; d = 1.45). Wide midfielders (214 ± 170 m), wide defenders (152 ± 199 m) and forwards (138 ± 94 m) covered greater distances sprinting than central defenders (67 ± 42 m; d = 1.19) and central midfielders (91 ± 66 m; d = 0.95). Concerning technical variables, central midfielders played significantly more passes compared to players in other playing positions (p < 0.05). In relation to crossing, wide defenders completed significantly more crosses than players in other positions (p < 0.05). These findings have direct implications for tailoring tactics so players can meet the physical and technical demands of the game.

The effect of bio-banding on technical and tactical indicators of talent identification in academy soccer players

ABSTRACT Aim: The aim of this study was to examine the effect of bio-banding on technical and tactical markers of talent identification in 11- to 14-year-old academy soccer players. Methods: Using a repeated measures design, 92 players were bio-banded using percentage of estimated adult stature attainment (week 1), maturity-offset (week 2) and a mixed-maturity method (week 3). All players contested five maturity (mis)matched small-sided games with technical and tactical variables measured. Data were analysed using a series of Bayesian hierarchical models, fitted with different response distributions and different random and fixed effect structures. Results: Despite differences during maturity-matched bio-banding for post-peak height velocity players, very few tactical differences were evident during the remaining maturity-matched and mis-matched fixtures for both banding methods. In fact, the results showed no consistent differences across both banding methods for practitioner and video analysis-derived technical performance characteristics during maturity matched and mis-matched fixtures. Both bio-banding methods explained similar levels of variance across the measured variables. Conclusion: Maturity-matched bio-banding had some effect on both technical and tactical characteristics of players during maturity-matched bio-banded formats. That said, this trend remained during maturity mis-matched bio-banded formats which restricts the conclusions that can be made regarding the effectiveness of bio-banding to manipulate technical and tactical measures in academy soccer players.

Intraoperative Bleeding Management: An Updating Literature Review: Review Article

Background: Intraoperative bleeding remains a major complication during and after surgery, leading to increased morbidity and mortality. Several influences determine the complex causes of bleeding in surgical patients. About 75 to 90% of early intraoperative and postoperative bleeding is due to technical factors. In some cases, however, acquired or congenital coagulopathies can stimulate, if not directly cause, surgical bleeding.&#x0D; Objectives: This paper aims to overview etiology, causes, diagnosis, and updated management of intraoperative bleeding.&#x0D; Methods: The review article ran from July 1, 2021 to October 31, 2021. We searched articles on etiology, causes, and treatments published in English worldwide in the Medline, EBSCO and PubMed databases. No software was used to analyze the data. Team members reviewed the data to determine initial results.&#x0D; Results: All patients scheduled for elective surgery should be screened for possible hemostatic defects using tests, and, if necessary, laboratory tests. Treatment of intraoperative bleeding consists of identifying patients at risk and understanding the effect of surgery on hemostasis. For patients at high risk of bleeding, a pre-operative meeting with a multidisciplinary team (anesthesiologist, surgeon, hematologist, radiologist) can discuss the correct surgical procedure.&#x0D; Conclusion: Technical variables account for 75-90% of initial intraoperative and postoperative bleeding. However, in other cases it is associated with acquired or congenital coagulation disorders. All patients scheduled for elective surgery should be checked for problems with hemostasis. Treatment of intraoperative bleeding involves identifying those at risk and understanding the effect of surgery on hemostasis.

Covid 19: How Is the Ability of Local Governments to Deal with It?

Countermeasures to minimize the spread of Covid-19 are still being carried out. The city of Padang has reduced the rate of the space of Covid-19 when implementing the Large-Scale Social Restriction policy. However, the spike in Covid-19 cases occurred again when the New Normal policy began to be implemented in the city of Padang. The purpose of this study is to explain the ability of local governments in dealing with Covid-19. The research method in data collection is qualitative through interviews and documentation. The results of this study are that the Padang City Covid-19 Handling Task Force as a local government agency for the Covid-19 response has played a good role in overcoming Covid-19 in Padang City. However, several things need to be maximized related to the capacity of the local government in Padang City. First, in the Human Resources variable, regarding the resources of health workers and health service facilities for handling health for Covid-19 survivors at the Padang City regional hospital, it still needs to be improved. Second, on the technical variables, namely Covid-19 logistics, there are still some Covid-19 survivors who do not receive logistical assistance when self-isolating Covid-19 at home, besides that the Covid-19 Handling Task Force also still needs to maximize its coordination in conveying information. The latest news regarding the development of Covid-19 to the public. Therefore, to suppress the rate of growth of Covid-19, the ability of local governments is urgently needed

Conserved architecture of brain transcriptome changes between Alzheimer's disease and progressive supranuclear palsy in pathologically affected and unaffected regions.

Alzheimer's disease (AD) is a complex proteinopathy with abnormal accumulation of amyloid β and tau in which the temporal cortex (TCx) is severely affected. Progressive supranuclear palsy (PSP) is a primary tau proteinopathy. Neurodegeneration in the TCx is less severe in PSP than in AD. In contrast, the cerebellum (CER) is relatively spared from gross pathology especially in AD. To determine if there are shared molecular changes that occur in both AD and PSP and explore these in the context of neuropathological burden, we analyzed RNAseq data from post-mortem TCx and CER of AD and PSP patients, as well as controls without neurodegenerative disease. For each brain region, we performed differential gene expression analyses between AD and normal controls (ADvC), and between PSP and controls (PSPvC) using two linear regression models independently. The first model adjusted for sex, age, and technical variables, whereas the second model adjusted for cellular composition in addition to the variables included in the first. We performed comparative analysis (Pearson correlation) of the results between disease groups and brain regions. The slope and Pearson correlation between β coefficients of DEGs obtained from PSPvC and those from ADvC were highly significant for both TCx (slope=0.31, R2 =0.27, p<1.0E-10) and CER (slope=0.78, R2 =0.69, p<1.0E-10). The slope and correlation between the β coefficients increased with increasing significance of DEGs, approaching R2 =1 for DEGs with q<0.01. These observations held for both models. Comparison of β coefficients between TCx ADvC and CER ADvC, and between TCx PSPvC and CER PSPvC revealed similar trends. Enrichment analysis identified shared pathways implicated in both diseases. There is a striking correlation in the directionality and magnitude of significant gene expression changes in brain transcriptomes between AD and PSP and between the temporal and cerebellar cortices. These findings indicate conservation in transcriptomic alterations due to common proteinopathies or their downstream effects and demonstrate the widespread perturbations of systems in the whole brain in neurodegenerative diseases. This work highlights the presence of transcriptome changes in pathologically "unaffected" brain regions and identifies biological pathways that are ubiquitously altered across brain regions and distinct neurodegenerative diseases.

Profiling the metabolome of patients with dementia in the UK Biobank

AbstractBackgroundThere is increasing interest in early metabolic changes in dementia, which may reflect the effects of genetic determinants of dementia, medical history and co‐morbidity, environmental risk factors, and aging. We studied the relation of blood‐based metabolites to the risk of dementia.MethodThe analyses are conducted in 121,389 participants of the UK Biobank (UKB) and include over 1172 incident dementia patients who developed dementia during the follow‐up. The metabolome was characterized using Nuclear Magnetic Resonance of the Nightingale Health platform. The platform covers 249 metabolic measures, including small molecules, fatty acids and detailed lipoprotein lipids. We integrated metabolic data measured before dementia onset with genetic data to determine whether the metabolites associations reflect causal pathways or rather consequences of the disease process. After log transformation of metabolites, scaling, and quality control, data were analysed using Cox‐regression. We adjusted for age, sex, BMI, technical variables ethnicity, smoking, alcohol, education, metabolic and neuropsychiatric medication and APOE genotypes.ResultWe identified 36 novel metabolites that are significantly associated with incident dementia (FDR&lt;0.05), with positive associations of ketone bodies to the future risk of dementia and negative associations of fatty acids, various amino acids, and cholesterol subfractions. The metabolic pattern is remarkably similar for incident patients with Alzheimer disease and vascular dementia and overlaps substantially with the metabolic profile identified for incident Parkinson’s disease. We found evidence that a number of metabolites may mediate the association between the APOE e2 and APOE e4 variants and dementia.ConclusionOur findings suggest that changes in the metabolism that occur before the onset of disease are associated to the future risk of dementia.

FORECASTING BITCOIN PRICES WITH THE ANFIS MODEL

Recently, Bitcoin has gained great importance in the cryptocurrency market with the highest market capitalization. Investors and researchers have attempted to find out the drivers of Bitcoin prices and if they are predictable. However, there is only limited research in the literature that identifies the most effective economic and technical variables for predicting Bitcoin prices using machine learning models. Thus, in this study, the future Bitcoin prices utilizing several economic and technical factors using the ANFIS model are aimed to forecasted between 01.05.2013 - 26.02.2021 periods. The findings show that the ANFIS model produced accurate and consistent predicting results that are in line with the real data. As a result, investors who wish to make a profit by predicting future Bitcoin values might consider using the ANFIS approach as a forecasting tool.

EUS-guided gallbladder drainage and subsequent peroral endoscopic cholecystolithotomy: A tool to reduce chemotherapy discontinuation in neoplastic patients?

Background and AimsEUS-guided gallbladder drainage (EUS-GBD) is emerging as a valuable treatment for acute cholecystitis (AC) in patients unfit for surgery. When lumen-apposing metal stents are used, large-caliber access to the gallbladder allows for subsequent direct peroral endoscopic cholecystoscopy (POEC) and eventual cholecystolithotomy (CL), offering a potentially “curative” solution for frailer patients. The aim of this series was to evaluate the outcome of these procedures in oncologic patients experiencing AC, with a specific focus on chemotherapy continuity.MethodsA prospective registry of all consecutive therapeutic EUS procedures performed in the San Raffaele Institute between December 2020 and April 2021 was searched for EUS-GBD + POEC-CL performed in chemotherapy candidates. Clinical and technical variables were prospectively registered, as were days of chemotherapy delay and postprocedural outcomes.ResultsThree consecutive patients with a diagnosis of a malignancy (2 pancreatic cancers and 1 severe myeloproliferative disease with skeletal lesions) experienced AC and were primarily treated by EUS-GBD. After 4 weeks, they were systematically scheduled for POEC-CL and lumen-apposing metal stent exchange for a double-pigtail plastic stent. All procedures and revisions were successful, with rapid clinical improvement. All gallbladders were cleared of food debris and stones between 3 and 15 mm using grasping forceps, polypectomy snares, Dormia baskets, and mechanical lithotripsy. One mild adverse event without any clinical consequence was registered during POEC-CL. Revisions did not interfere with the chemotherapy schedule. Technical variables (eg, gastric vs duodenal drainage or need for coaxial double-pigtail plastic stent) are discussed.ConclusionsEUS-GBD and subsequent POEC-CL allows a highly effective and minimally invasive solution for AC. These initial experiences promote further evaluation of this approach for all those individuals in whom surgical interventions are undesirable, such as oncologic patients whose prognosis depends on chemotherapy continuity, although further prospective confirmation in this setting should be pursued.

Economic Analysis and Modelling of Rooftop Photovoltaic Systems in Spain for Industrial Self-Consumption

This article has been developed to assess the economic feasibility of a rooftop photovoltaic installation of industrial self-consumption. Numerical models that enable an interested person to obtain the main expected parameters will be generated, with those models being the article’s main contribution to the field. To do this, a calculation methodology will be developed through which the reader, knowing the location of the facility and dimensions of the roof, will be able to calculate the maximum installable power, the main parameters related to production, the cost of the installation, and the LCOE of the plant. The use of actual costs will be facilitated in case they are known. Still, it will remain possible to apply the major equipment costs (modules, inverter, and structure) considered throughout the article. This developed calculation methodology will also allow a quick comparison of the forecasts of production, CAPEX, and LCOE of plants designed with different inclinations and different types of modules. Consequently, it will be especially useful in decision-making before developing the plant’s basic engineering. Moreover, the calculations used for modeling the LCOE will be analyzed in depth. This analysis will allow evaluating how the different technical variables affect the profitability of a photovoltaic installation, such as the selected tilt, the location, the module’s technology, or the available area.

Sustainability Perspective to Support Decision Making in Structural Retrofitting of Buildings: A Case Study

The reuse of existing materials in buildings can give a contribution to sustainable practices such as a balance in embodied energy, water, and emission reduction. However, it is not always possible to maintain the existing structural materials because some different technical variables could hamper their usability, namely seismic reinforcement needs, fire safety protection, conservation state, and new legal requirements. The paper follows a case study approach for assessing the technical and environmental performances of structural options for old building retrofitting works. All structural options were analyzed through the results of several categories of environmental impact. Some parameters of a retrofitting management system were also used to frame in a comprehensive way the technical constraints pertaining to building retrofitting works. The structural option choice was taken by the owner with the contribution of the design team and the construction manager of the construction project as well as the results of interviews with other construction professionals, considering the variables related to technical suitability and environmental impact. The results of the study show that the steel structure is the solution that best addresses the technical constraints of the building retrofit works and minimizes environmental impact. The results of the study also suggest that the consideration of other variables other than the technical ones can contribute to the effective functioning of the renovation subsegment of the building market. Some suggestions for further studies to enhance the results of this work are put forward.

A stochastic analytic-probabilistic approach to distributed generation hosting capacity evaluation of active feeders

The unregulated penetration of distributed generation (DG) on distribution networks can cause wide-ranging technical issues, such as voltage variation, thermal loading, and unbalance. To regulate penetration, a planner needs to determine the maximum penetration or hosting capacity (HC) of a network, which requires extensive studies assessing the technical impacts of DG on the most sensitive quality of supply variables. Several uncertainties complicate the HC computation, such as the stochasticity of customer loads, variable DG outputs, and unknown location and capacity of future DG installations. This uncertainty demands approaches with the capability of stochastic simulation of DG allocation and probabilistic assessment of the corresponding range of feeder performance. Existing uncertainty-based HC computation methods have inadequate probabilistic representation, high computational burden, and restricted scope of technical variables, reducing any confidence in the assessed HC. We use a stochastic analytic-probabilistic approach that embeds an analytic probabilistic load flow (PLF) transform in a Monte-Carlo simulation (MCS) of DG allocation, and applies a polynomial smoothing technique to further enhance computational efficiency. The acceptable variation of radial distribution feeder performance is identified by voltage limits, thermal capacity, and unbalance. The PLF has significant benefits in reducing the overall computational burden. The HC is quantified statistically using the beta probability density function, reflecting the composite risk from the multiple uncertainties. Compared with other formulations, this stochastic-analytic approach to HC improves feeder performance evaluation under a wide range of DG penetration scenarios and is appropriate for design and operational analysis.

Pengaruh Makro Ekonomi, Struktur Modal, Struktur Kepemilikan, Faktor Teknikal terhadap Profitabilitas dengan Total Pendapatan Sebagai Variabel Intervening pada Sub Sektor Perkebunan Di Bursa Efek Indonesia Periode 2014-2020

This study aims to see the relationship between macroeconomic variables, capital structure, ownership structure, technical factors on profitability variables with total income as an intervening variable in the plantation sub-sector stock group on the Indonesia Stock Exchange for the period 2014 – 2020. This study uses SEM (Structural) analysis. Equation Modeling) based on component or variance, namely Partial Least Square (PLS), using Smart PLS 3.0 software. The results showed that 1) macroeconomic variables had no effect on total income. 2) capital structure variable has no effect on total income. 3) ownership structure variable has an effect on total income. 4) technical factor variables have no effect on total income. 5) macroeconomic variables affect profitability. 6) the capital structure variable has no effect on profitability. 7) ownership structure variable has no effect on profitability. 8) technical factor variables affect profitability. 9) Macro economy has no effect on profitability through total income. 10) capital structure has no effect on profitability through total income. 11) ownership structure has no effect on profitability through total income. 12). technical factors have no effect on profitability through total revenue.

Impact of financing and payout policy on the economic profitability of solar photovoltaic plants

This paper introduces an innovative comprehensive evaluation model for appraising an investment in a solar photovoltaic plant which encompasses both operational and financial management. We illustrate the intricate network of logical relations among technical (estimated) variables and financial (decision) variables and show that establishing transparent links between the former and the latter enhances the accuracy and soundness of the model. The results indicate that understanding the conceptual and formal relations of operating variables and financial decisions is necessary for correctly measuring shareholder value creation and making rational decisions, even for those projects (such as solar energy projects) where the operating, technical component is of paramount importance. We show how a firm's decision of replacing conventional energy with solar energy may be affected by managerial decisions regarding the firm's payout/retention policy and its financing policy to support the project. The model discloses insights on how to fine-tune the financing and distribution decisions in order to maximize the value creation for shareholders. We apply the model to a real-life photovoltaic project to be located in the province of Modena, in Northeast Italy, and quantify the effect of financial decisions on the project's net present value, showing that the financing and distribution policies may amplify or shrink the impact of changes in other inputs and may even revert an otherwise unprofitable project into a value-creating one. Finally, we allow operational variables as well as financial variables to change in order to measure their importance via the application of the Clean Finite Change Sensitivity Indices (Magni et al., 2020).

Residential Solar Water Heater Adoption Behaviour: A Review of Economic and Technical Predictors and Their Correlation with the Adoption Decision

The successful deployment of the solar water heater (SWH) in the residential sector relies on the household’s bounded rational decision-makers to accept this system. The decision is shaped by a wide spectrum of predictors that form heterogeneous behaviour. Over the past years, research has employed a wide range of these predictors to understand their role in the decision and predict the behaviour and diffusion rate of SWHs. This review primarily identifies economic and technical predictors of 100 quantitative and qualitative studies on the residential SWH adoption decision. For the identified predictors, their characteristics and popularity are explored in a structured and coherent framework. The review further investigates the correlation between the identified predictors and the adoption decision from 97 of the 100 initially reviewed studies. The outcome of the research revealed 123 (56 economic and 67 technical) predictors that were classified into seven categories. ‘Financial incentives’ and ‘perceived attitude towards government policies’ are among the most popular economic predictors, whereas ‘house type’ and ‘knowledge of SWH’ were the most frequent technical factors in the research. Analysing the correlation between 99 predictors and the decision also unfolded that certain attitudinal attributes have a stronger influence on the residential SWH take-up than some common factors (e.g., electricity cost, technical variables).