Browse Articles
Discover research articles across all indexed journals
A multifaceted purpose-oriented approach to evaluate material circularity index for rejuvenated recycled asphalt mixtures
Incorporation of visible/near-infrared spectroscopy and machine learning models for indirect assessment of grape ripening indicators
Abstract The assessment of grape ripeness is pivotal for optimizing harvest timing and ensuring high-quality fruit production. Traditional methods, relying on manual sampling and chemical analysis, are laborious and expensive. This study proposes an innovative approach combining Visible/Near-Infrared (VIS/NIR) spectroscopy with machine learning techniques—specifically, decision trees (DT) and gradient boosting regression (GBR)—to facilitate a rapid, non-destructive, and cost-effective prediction of key grape ripening indicators such as anthocyanin (An), total acidity (TA), total soluble solids (TSS), and the TSS/TA ratio. The performance of spectral reflectance indices (SRIs) in correlating with these ripening metrics across different grape ripening stages was examined. The study findings revealed notable variations in ripening indicators across stages, with the newly developed SRIs outperforming the existing indices. The application of dual and triple-band SRIs yielded strong correlations with An (R2 = 0.75–0.88) and TSS (R2 = 0.64–0.76), and moderate correlations with TA (R2 = 0.63–0.70), but showed weaker associations with the TSS/TA ratio (R2 = 0.15–0.52). Incorporating these SRIs into the DT and GBR models significantly enhanced the accuracy of ripening indicator predictions. The integration of multiple SRIs resulted in the most precise models. The DT model delivered outstanding performance for An (R2 = 0.87, RMSE = 87.81) and TSS/TA (R2 = 0.74, RMSE = 3.12). Meanwhile, the GBR model excelled in predicting TSS (R2 = 0.82, RMSE = 0.92) and TA (R2 = 0.70, RMSE = 0.05). Overall, the combination of VIS-NIR spectroscopy and machine learning offers a promising and efficient approach for assessing grape ripeness, providing a practical solution for the agricultural industry.
Cardiomyopathy and thrombogenesis in cats through left atrial morphological and fluid dynamics analysis
Musashi-dependent mRNA translational activation is mediated through association with the Scd6/Like-sm family member, LSM14B
RETRACTED ARTICLE: Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images
Frequency-band specific directed connectivity networks reveal functional disruptions and pathogenic patterns in temporal lobe epilepsy: a MEG study
Leveraging prior mean models for faster Bayesian optimization of particle accelerators
A coronavirus assembly inhibitor that targets the viral membrane protein
70% ethanol preserves mycobacterial RNA from cultures more efficiently than GTC-TCEP
The efficacy of methylprednisolone acetate nanogel in treating patients with sudden sensorineural hearing loss
Combined glycated hemoglobin index and red cell distribution width predict in-hospital mortality in critically ill sepsis patients based on MIMIC-IV analysis
Testing of a reusable chemical warming pad and an insulating jacket to manage hypothermia of preterm or low birthweight neonates
Abstract Hypothermia remains a leading contributing factor to neonatal mortality. This study reports testing of a thermoregulatory device—‘Thermal Jacket’ that includes a reusable chemical warming pad (CWP) and an insulating jacket designed for hypothermia management. The laboratory experiments were conducted in two distinct phases between February’21 and June’22. In phase 1, a ternary composite of Sodium-Acetate-Trihydrate, Glycerol, Paraffin, and water contained in a high-density polyethylene-pouch named ‘CWP’ was finalised, and an insulating jacket was designed for targeted heat retention. In phase 2, the device’s efficacy was evaluated using a mannequin in a controlled setting. The sample size was 81 events. Welch’s t-test, ANOVA, and GEE were used to assess any significant differences between successful and failed events. Among 81 events, approximately 93% events of CWP and 98% events of insulating jacket successfully maintained temperature within 36–38°C for 120 minutes. Moreover, ambient temperature, reuse of CWPs, humidity did not have any significant effect on the success rate of the CWP and insulating jacket. Thermal Jacket had achieved and sustained the temperature range of 36–38°C for 2 hours. While this study used mannequin, clinical trial with preterm or low birthweight neonates is imperative to assess its effectiveness for thermal care management.
Comparative modeling approaches for predicting Olea and Quercus pollen seasons in Thessaloniki, Greece
Pilot study of an ecological momentary music intervention for stress reduction in Turkish immigrant women perceiving chronic ethnic discrimination
Efficient on-chip electrochemical lysing of foodborne bacteria for longer DNA strands with high yield for molecular analysis
Establishment, operation and development of the electronic Pollen Information Network (ePIN) in Bavaria, Germany
Abstract Current data of actual airborne pollen concentrations is of high value for allergy sufferers and medical practitioners, as allergen avoidance is an important therapeutic approach to allergic rhinitis. In addition, pollen concentrations are important indicators for monitoring climate change, providing information on changes in plant growth, plant reactions to climate change and the arrival of neophytes. The importance of pollen monitoring as well as technical developments and the emergence of electronic pollen monitors led to the establishment of the electronic Pollen Information Network (ePIN) in Bavaria, Germany. ePIN is a fully electronic pollen monitoring network that offers real-time pollen information to the public currently in three-hourly intervals. It consists of eight electronic pollen monitors as well as four Hirst-type pollen traps. The ePIN data is public and free of charge. Consumers can access the information via a website or an app. This article describes ePIN, its establishment, operation and further development.