Targeting high performance of perovskite solar cells by combining electronic, manufacturing and environmental features in machine learning techniques.

This study employs Machine Learning (ML) techniques to optimize the performance of Perovskite Solar Cells (PSCs) by identifying the ideal materials and properties for high Power Conversion Efficiency (PCE). Utilizing a dataset of 3000 PSC samples from previous experiments, the Random Forest (RF) technique classifies and predicts PCE as the target variable. The dataset includes various features encompassing cell architecture, substrate materials, electron transport layer (ETL) attributes, perovskite characteristics, hole transport layer (HTL) properties, back contact specifics, and encapsulation materials. ML-driven analysis reveals novel, highly efficient PSC configurations, such as Fe2O3/CsPbBrI2/NiO-mp/Carbon, CdS/FAMAPbI3/NiO-C/Au, and PCBM-60/Phen-NaDPO/MAPbI3/asy-PBTBDT/Ag. Additionally, the study investigates the impact of crucial parameters like perovskite bandgap, ETL thickness, thermal annealing temperature, and back contact thickness on device performance. The predictive model exhibits high accuracy (86.4 % R2) and low mean square error (1.3 MSE). Notably, the ML-recommended structure, SnO2/CsFAMAPbBrI/Spiro-OmeTAD/Au, achieves an impressive efficiency of around 23 %. Beyond performance improvements, the research explores the integration of ML into the manufacturing and quality control processes of PSCs. These findings hold promise for enhancing conversion yields, reducing defects, and ensuring consistent PSC performance, contributing to the advancement of this renewable energy technology.

[Factors associated with medication non-adherence in patients with type 2 diabetes mellitus: The first Algerian survey]. / Facteurs associés à la non-observance thérapeutique chez les diabétiques de type 2 : première enquête algérienne.

BACKGROUND: Non-adherence in patients with type 2 diabetes is a frequent phenomenon with important impact in terms of management of this disease. The aim of this study was to assess the level of medication adherence and to identify the factors associated with non-adherence in type 2 diabetic patients. METHODS: A cross-sectional study was conducted in type 2 diabetic patients at the endocrinology and diabetology department of University Medical Center of Sidi Bel Abbes (Algeria) in 2017. Medication adherence was determined using a morisky 8-Item medication adherence questionnaire. A logistic regression was used to identify factors associated with non-adherence. RESULTS: The study enrolled 403 type 2 diabetic patients. The mean age was 60 years and sex-ratio was 0.8. Medication non-adherence rate was 31.3% (95% CI: 26.8-35.8%). The factors significantly associated with non-adherence in multivariate analysis were: health insurance status, self-monitoring of blood glucose, disease duration, education level and need for information on diabetes. CONCLUSION: Our study had demonstrated a low adherence in patients with type 2 diabetes. The results suggest that implementation of a therapeutic education program could be important in management of diabetes.

[Coxitis in ankylosing spondylo-arthritis. Results of treatment with total arthroplasty. Apropos of 162 cases]. / Les coxites de la spondylarthrite ankylosante (SPA). Résultats du traitement par arthroplastie totale. A propos de 162 cas.

Excellent results were seen when 100 patients with ankylosing spondylitis who had undergone total replacement arthroplasty of the hip were reviewed 5 years after operation. One hundred and sixty hips had been replaced; 92.5% were painfree, 78% had flexion of greater than 90 degrees and 80% walked well without a stick. Using the scale of Merle d'Aubigné and Postel, 86% of the results were classed as satisfactory. The Muller and Charnley prostheses were very reliable. The outcome in hips with marked degenerative or hypertrophic changes were better than in those which were ankylosed. Operation is best carried out early before the joints are grossly damaged.

Clinical and radiographic evaluation of modular knee replacement. A review of 95 cases.

Ninety-five modular total knee replacements, 54 of them unicompartmental, have been reviewed. The average follow-up was three years. The major indication for operation was pain. A precise reoperative radiographic evaluation and a technique for a positioning the components are described. This had led to a significant improvement in the clinical and radiographic results in 67 out of 95 knees which were operated on. The modifications concern the orientation of the tibial cut, the placing of the femoral components and the correction of axial deviation. The main causes of the 13% of failures in our series were either errors in positioning the components or a preoperative diagnosis of rheumatoid arthritis. Unicompartmental replacement gave similar results in both valgus and varus knees, and the morbidity was lower than in the biocompartmental replacements. The best results were obtained in osteoarthritic knees in elderly patients and in posttraumatic osteoarthritis.

Clinical and radiographic evaluation of modular knee replacement : A review of 95 cases.

Ninety-five modular total knee replacements, 54 of them unicompartmental, have been reviewed. The average follow-up was three years.The major indication for operation was pain. A precise preoperative radiographic evaluation and a technique for a positioning the components are described. This had led to a significant improvement in the clinical and radiographic results in 67 out of 95 knees which were operated on. The modifications concern the orientation of the tibial cut, the placing of the femoral components and the correction of axial deviation.The main causes of the 13% of failures in our series were either errors in positioning the components or a preoperative diagnosis of rheumatoid arthritis.Unicompartmental replacement gave similar results in both valgus and varus knees, and the morbidity was lower than in the bicompartmental replacements. The best results were obtained in osteoarthristic knees in elderly patients and in posttraumatic osteoarthritis.