CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software by Frank E. Rademakers, Elisabetta Biasin, Nico Bruining, Enrico G. Caiani, Rhodri H. Davies, Stephen H. Gilbert, Eric Kamenjasevic, Gearóid McGauran, Gearóid O’Connor, Jean-Baptiste Rouffet, Baptiste Vasey, Alan G. Fraser

“…Abstract The European CORE–MD consortium (Coordinating Research and Evidence for Medical Devices) proposes a score for medical devices incorporating artificial intelligence or machine learning algorithms. Its domains are summarised as valid clinical association, technical performance, and clinical performance. …”
Get full text

Analysis of ADR reports of cetuximab based on the FDA adverse event reporting system database by Shuai Zhao, Yan Wang, Xiaoli Deng, Xi Chen, Zhaoyi Lu

“…Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the empirical Bayesian geometric mean (EBGM) algorithms, were employed to quantify the signals of cetuximab-associated AEs. …”
Get full text

Global optimization of grillages by Rimantas Belevičius, Dmitrij Šešok

“…The solution technology for a class of aforementioned problems is proposed based on the use of global optimization algorithms of package GAMS, which are implemented as ``black boxes”. …”
Get full text

Dijet mass up to four loops with(out) $${{\varvec{k}}}_{\varvec{t}}$$ k t clustering by K. Khelifa-Kerfa

“…Abstract We compute the invariant mass of dijets produced in $$e^+ e^-$$ e + e - annihilation processes up to four loops in perturbation theory for both anti- $$k_t$$ k t and $$k_t$$ k t jet algorithms. The calculations, performed within the eikonal approximation and employing strong-energy ordering, capture the full analytic structure of the leading Abelian and non-Abelian non-global logarithms, including full colour and jet-radius dependence. …”
Get full text

Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning by Xiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan, Hongxing Chen, Song Zhang, Hui Chen, Song Qin, Zhenran Gao

“…An LCd estimation model was developed by integrating VIs, color indices (CIs), and machine learning (ML) algorithms. Results indicate that VIs and CIs were strongly correlated with LCd, exhibiting correlation coefficients (r) of 0.73 and 0.57, respectively. …”
Get full text

Topological 1D gravity, KP hierarchy, and orbifold Euler characteristics of M‾g,n by Zhiyuan Wang, Jian Zhou

“…As an application, we present two types of algorithms to compute the orbifold Euler characteristics of the moduli spaces M‾g,n of stable curves. …”
Get full text

An Image Sharing Encryption Management System For Kabale University. by Bemera, Rauben

“…Myriad methods of protection are used ranging from a simple authentication password to most complex cryptography or Steganography algorithms for hiding the extremely sensitive data. …”
Get full text

Investigating the relationship between thought interference, somatic passivity and outcomes in patients with psychosis: a natural language processing approach using a clinical reco... by Robert Stewart, Anna Kolliakou, Jyoti Sanyal, Rashmi Patel, Thibault Thierry Magrangeas

“…Objectives We aimed to apply natural language processing algorithms in routine healthcare records to identify reported somatic passivity (external control of sensations, actions and impulses) and thought interference symptoms (thought broadcasting, insertion, withdrawal), first-rank symptoms traditionally central to diagnosing schizophrenia, and determine associations with prognosis by analysing routine outcomes.Design Four algorithms were developed on deidentified mental healthcare data and applied to ascertain recorded symptoms over the 3 months following first presentation to a mental healthcare provider in a cohort of patients with a primary schizophreniform disorder (ICD-10 F20-F29) diagnosis.Setting and participants From the electronic health records of a large secondary mental healthcare provider in south London, 9323 patients were ascertained from 2007 to the data extraction date (25 February 2020).Outcomes The primary binary dependent variable for logistic regression analyses was any negative outcome (Mental Health Act section, >2 antipsychotics prescribed, >22 days spent in crisis care) over the subsequent 2 years.Results Final adjusted models indicated significant associations of this composite outcome with baseline somatic passivity (prevalence 4.9%; adjusted OR 1.61, 95% CI 1.37 to 1.88), thought insertion (10.7%; 1.24, 95% CI 1.15 to 1.55) and thought withdrawal (4.9%; 1.36, 95% CI 1.10 to 1.69), but not independently with thought broadcast (10.3%; 1.05, 95% CI 0.91 to 1.22).Conclusions Symptoms traditionally central to the diagnosis of schizophrenia, but under-represented in current diagnostic frameworks, were thus identified as important predictors of short-term to medium-term prognosis in schizophreniform disorders.…”
Get full text

Rozwiązywanie zadań tekstowych przez studentów – przyszłych nauczycieli edukacji wczesnoszkolnej by Beata Bugajska-Jaszczołt, Monika Czajkowska

“…The research shows that the students have well-mastered calculational algorithms and techniques but they have difficulties in presenting their reasoning in the language of mathematics. …”
Get full text

DAYLIGHT INVESTIGATION IN CAMPUS LECTURE THEATERS. CASE STUDY: SOUTH WEST COAST UNIVERSITY OF NIGERIA by OYELEYE OLAYINKA, MAKANJU TOLULOPE

“…The window area to wall area (AWD to AW) ratio was determined using reliable algorithms. In the three studied buildings, the daylight contribution varies from 12 lux to 3803 lux; AWD to AW varies from 14 % to 22 % to 37 %; 22 % AWD to AW is considered moderate while 37 % AWD to AW is considered more suitable in the studied buildings. …”
Get full text

Pendekatan Ensemble untuk Analisis Sentimen Covid19 Menggunakan Pengklasifikasi Soft Voting by Nova Agustina, Candra Nur Ihsan

“…In this study, all algorithms get the same accuracy for sentiment analysis, which is 89%. …”
Get full text

Machine Learning Approaches to Natural Fiber Composites: A Review of Methodologies and Applications by Sivasubramanian Palanisamy, Nadir Ayrilmis, Kumar Sureshkumar, Carlo Santulli, Tabrej Khan, Harri Junaedi, Tamer Ali Sebaey

“…This work elucidates the functions of the types and applications of the ML algorithms and evolutionary computing techniques, with a particular focus on their applicability within the domain of NFCs. …”
Get full text

Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey by Giovanni Battista Gaggero, Paola Girdinio, Mario Marchese

“…This work systematically examines the current state of research, evaluating the investigated use cases, the algorithms, the performances and the validation of the papers, identifying key gaps, and offering insights for advancing in this research field.…”
Get full text

MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK by VALENTIN STOYANOV, IVAYLO STOYANOV, TEODOR ILIEV

“…The possible ANN structure, the size of training data set, the number of hidden neurons, and the type of training algorithms were analyzed in order to identify the most appropriate model. …”
Get full text

Evaluating Item Content and Scale Characteristics Using a Pretrained Neural Network Model by Jeffrey Stanton, Angela Ramnarine-Rieks, Yisi Sang

“…NLP comprises a set of algorithmic techniques for analysing words, phrases, and larger units of written language. …”
Get full text

Treatment response rate and life prognosis at autoimmune liver diseases by K. V. Ivashkin, Ye. N. Shirokova, V. T. Ivashkin

“…Article presents up-to-date management algorithms and new promising agents, demonstrates complexities and alternative variants of treatment of autoimmune liver diseases.Conclusion. …”
Get full text

Designing and Prototyping of a Battery Management System for Solar Power Plants in Uganda. by Ssembalirwa, Denis

“…Additionally, the system employs intelligent algorithms to autonomously manage the charging and discharging cycles based on the battery’s condition. …”
Get full text

Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles by Yu Sun, Shuhuai Qin, Yingli Li, Naimul Hasan, Yan Vivian Li, Jiangguo Liu

“…Experimental data collected from about 50 papers are analyzed by machine learning algorithms including linear regression, principal component analysis, Gaussian process regression, and artificial neural networks. …”
Get full text

The causes for inefficacy of antihelicobacter therapy by I. V. Mayev, Yu. A. Kucheryavyy, D. N. Andreyev

“…To summarize and analyze main causative factors determining inefficacy of modern algorithms of antihelicobacter therapy.Key points. Efficacy of eradication therapy (ET) can depend on a lot of factors which generally can be divided in three main groups in relation to origin: factors determined by microorganism (bacteria); factors determined by macroorganism (patient); the factors determined by doctor. …”
Get full text