Developing and presenting a mathematical model for the purpose of organizational culture architecture based on creating alignment between the strategic reference points of organiza... by Elyas hasanzadeh Shweili, Mir Mehrdad peidaie, Ali reza Rezghi Rostami

“…Extended abstract Introduction Organizations need to have shared values ​​to achieve coherence, coordination and implicit control. …”
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Increasing uptake of self-management education programmes for type 2 diabetes in primary care: the Embedding research programme including an RCT by Melanie J Davies, Shona Agarwal, Danielle H Bodicoat, Alan Brennan, Simon Dixon, Helen Eborall, Agnieszka Glab, Laura J Gray, Michelle Hadjiconstantinou, Lisa Huddlestone, Nicky Hudson, Anju Keetharuth, Kamlesh Khunti, Caroline Kristunas, Graham Martin, Alison Northern, Mike Patterson, Daniel Pollard, Rebecca Pritchard, Sally Schreder, Jane Speight, Bernie Stribling, Jackie Sturt, Jess Turner, Christina Weis

“…Uptake of SSME programmes is poor, however, with the latest National Diabetes Audit figures showing that, within 12 months of diagnosis, 75% of people with T2DM were offered SSME but only 11% attended. Aim We aimed to develop and test an intervention (‘Embedding Package’) to increase T2DM SSME uptake by addressing barriers and supporting enablers to uptake at patient, healthcare professional and organisational levels. …”
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Consequences, costs and cost-effectiveness of workforce configurations in English acute hospitals by Peter Griffiths, Christina Saville, Jane Ball, David Culliford, Jeremy Jones, Francesca Lambert, Paul Meredith, Bruna Rubbo, Lesley Turner, Chiara Dall’Ora

“…Most economic studies rely on studies with a high risk of bias to estimate the effects of changes in staffing configurations. Aims and objectives This study aims to provide evidence to inform cost-effective deployment of nursing and other care staff on hospital wards in England and policy decisions to address nursing workforce shortages. …”
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Evaluation of prognostic models to improve prediction of metastasis in patients following potentially curative treatment for primary colorectal cancer: the PROSPECT trial by Vicky Goh, Susan Mallett, Manuel Rodriguez-Justo, Victor Boulter, Rob Glynne-Jones, Saif Khan, Sarah Lessels, Dominic Patel, Davide Prezzi, Stuart Taylor, Steve Halligan

“…Central review was undertaken in 291 (96%). Variability assessed by Bland–Altman plots was considerable between many local and central review perfusion CT measurements, most evident for permeability surface area product, where disagreement was greatest at higher permeability values. …”
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Project quality, regulation quality by Elena Mussinelli

“…The body of urban planning legislation has expanded considerably, imposing on city and regional planning new objectives and constraints aimed at protecting and improving the quality of the environment and landscape. …”
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Anomaly detection model for multivariate time series based on stochastic Transformer by Weigang HUO, Rui LIANG, Yonghua LI

“…Aiming at the problem that the existing multivariate time series anomaly detection models based on variational autoencoders could not propagate long-term temporal dependencies between stochastic variables in latent space, the stochastic Transformer for MTS anomaly detection (ST-MTS-AD) model which combined Transformer encoder with VAE was proposed.In the inference network of the ST-MTS-AD, the MTS long-term temporal dependent features generated by Transformer encoder and the sampled values of the stochastic variables at the previous moment were inputted into the multilayer perceptron, the approximate posterior distribution of the stochastic variables at the current moment was generated by the multilayer perceptron, and the temporal dependencies between stochastic variables were realized.The gated transition function(GTF) was used to generate the prior distribution of stochastic variables.The generation network of the ST-MTS-AD reconstructed the distribution of the MTS values at each moment by the multilayer perceptron whose input was the MTS long-term temporal dependent features generated by the inference network and the approximate posterior sampling values of stochastic variables.The distribution of normal MTS dataset was learned by the variational inference technology, and the abnormal MTS segment was determined by the log-likelihood of the reconstruction probability.Experiments on four public datasets show that the ST-MTS-AD model significantly improves the F1 score over the typical baseline models.…”
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Interpretable Machine Learning for the German residential rental market – shedding light into model mechanics by Severin Bachmann

“…The study employs SHAP values to measure feature importance. The study aims to investigate linear regression, decision tree and XGBoost algorithms. …”
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Cephalometric evaluation of skeletal relationships after bimaxillary surgical correction of mandibular prognathism by Sinobad Vladimir, Strajnić Ljiljana, Sinobad Tamara

“…Ceph", 30 linear and angular skeletal vari-ables were analyzed and compared on each radiograph. The values of examined variables in the analyzed group were compared before and after surgery and with the values of the same variables in the control group. …”
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Social Capital Measurement in Turkiye: Creating an Index by Province by Abdulmuttalip Pilatin, Hasan Ayaydın

“…The aim of the study is to create a social capital index on the basis of 81 provinces covering the years between 2007-2018 in Turkiye. …”
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Assessing the health impacts of past occupational activities in adulthood: a predictive model approach by Raquel Aparicio Mera, Antonio Alonso Callejo, Maria Marin Farrona, Daniel Duclos Bastias, Samuel Manzano Carrasco, Leonor Gallardo, Jorge Garcia Unanue, Jose Luis Felipe

“…For anthropometric variables, the same groups showed higher values when compared to the sedentary work group. …”
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Continuous Glucose Monitoring for the Diagnosis of Gestational Diabetes Mellitus: A Pilot Study by Daria Di Filippo, Marrwah Ahmadzai, Melissa Han Yiin Chang, Ksana Horgan, Ru Min Ong, Justine Darling, Mahmood Akhtar, Amanda Henry, Alec Welsh

“…CGM and OGTT strongly correlated for fasting glucose values (r=0.86, p<0.05) only. Triangulating GDM risk factors, OGTT results and CGM variability parameters with the application of machine learning highlighted the possibility of unmasking false positive (11 showed low CGM variability and demographic risks but positive OGTT) and false-negative OGTT diagnoses (1 showed high CGM variability and demographic risks but negative OGTT). …”
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Temporal associations between microclimate, adult Aedes mosquito indices, and dengue cases at the residence level in Malaysia: Implications for targeted interventions. by Nur Athen Mohd Hardy Abdullah, Nazri Che Dom, Biswajeet Pradhan, Siti Aekball Salleh, Rahmat Dapari

“…An autocorrelation analysis was conducted to determine the TLs between MIs and their preceding values, while a cross-correlation analysis revealed the TLs between MIs and DM variables.…”
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Forecasting seasonal influenza-like illness in South Korea after 2 and 30 weeks using Google Trends and influenza data from Argentina. by Soo Beom Choi, Insung Ahn

“…We aimed to identify variables for forecasting seasonal and short-term targets for influenza-like illness (ILI) in South Korea, and other input variables through weekly time-series of the variables. …”
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Application of Electrical Resistivity Tomography for Detecting Root Biomass in Coffee Trees by Carlos Mauricio Paglis

“…The tomograms indicated variability in soil resistivity values ranging from 120 to 1400 Ω·m−1. …”
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The estimation of correlation between milk and reproductive traits in holstein by canonical correlation analysis by İsmet Doğan

“…The method developing tor predicting !he values ot one or more variables from other variables is an imponant statistical problem in every branch of science This leads to the foundation ot relationship between two groups ot variables. …”
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Leadership styles and their effect on employees: a comparative study of two Mediterranean tourism destinations by Ayse Atar Yilmaz, Ece Konaklioglu

“…The study also aims to foreground the difference with respect to these variables in two countries chosen as the sampling universe and draw a comparative analysis of the leadership types adopted by the manager of hospitality organisations in respective countries and personnel's attitude toward the respective hospitality organisations they work for. …”
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Efforts to Increase Self-Efficacy and Reduce Anxiety towards Learning Motivation through English Speaking Skills by Rindika Pramadanti Rindi

“…Additionally, several variables can directly influence positive values ​​on English-speaking skills, such as self-efficacy and learning motivation, and negative values ​​on English-speaking skills, such as anxiety in speaking English. …”
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Macroeconomic Forecasts in Models with Bayesian Averaging of Classical Estimates by Piotr Białowolski, Tomasz Kuszewski, Bartosz Witkowski

“…The aim of this paper is to construct a forecasting model oriented on predicting basic macroeconomic variables, namely: the GDP growth rate, the unemployment rate, and the consumer price inflation. …”
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Developing soil quality indices for predicting site classes in Pinus patula stands of Sao Hill and Shume Forest Plantations, Tanzania by J. Maguzu, S. M. Maliondo, I. Ulrik, J. Z. Katani

“…Therefore, this study analyzed soil properties and developed SQIs for predicting site productivity of Pinus patula stands in Tanzania. Specifically, we aimed to (i) develop SQIs under different site classes across two forest plantations and (ii) test if SQIs can predict site classes across two forest plantations and which soil physio-chemical variables inherent in the SQI contributed most to the prediction. …”
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AEROBIC CAPACITY OF JUDO PLAYERS SCALED FOR DIFFERENCES IN BODY SIZE by Diana Dimitrova, Lubomir Mladenov, Anna Nikolova

“…The %BF and body composition variables significantly differed among weight categories and were with the highest values in the heaviest athletes. …”
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