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Advanced analysis of retrotransposon variation in the human genome with nanopore sequencing using RetroInspector
CT radiomics from intratumor and peritumor regions for predicting poorly differentiated invasive nonmucinous pulmonary adenocarcinoma
Abstract Per the 2021 World Health Organization (WHO) Classification of Thoracic Tumors, poorly differentiated invasive nonmucinous adenocarcinoma (INMA) demonstrates aggressive clinicopathological behavior characterized by lymphatic invasion, correlates with poor prognosis, and necessitates modifications to surgical planning even in early-stage adenocarcinoma. This study aimed to investigate the predictive value of radiomics features of intratumoral and peritumoral microenvironment in poorly differentiated INMA in the lung. A total of 451 patients with INMA were collected from three hospitals. They were divided into the train cohort (173 grade 1/2; 116 grade 3), internal test cohort (89 grade 1/2; 35 grade 3) and external test cohort (26 grade 1/2; 12 grade 3). The logistic regression analysis was used to establish the clinical and radiomic models. The receiver operating characteristic (ROC) curve and the decision curve analysis (DCA) were used to assess diagnostic performance of different models. The internal test dataset (124 patients) was used to evaluate the radiologists’ performance without and with the assistance of optimal model. Nodule attenuation, consolidation size and consolidation-to-tumor ratio (CTR) meaning the ratio of maximum consolidation to tumor dimensions on axial imaging were independent predictors of poorly differentiated INMA (p < 0.05). In the internal test cohort, the area under the curve (AUC) values of the clinical model, the intratumor radiomic model, the combined 3 mm radiomic model, and the combined 5 mm radiomic model were 0.875(95%CI: 0.811–0.938), 0.882(95%CI: 0.807–0.957), 0.907(95%CI: 0.844–0.969) and 0.858(95%CI: 0.783–0.933), respectively. Corresponding results in the external test cohort showed moderate performance across all models: clinical model (AUC: 0.760, 95%CI: 0.603–0.916), intratumor radiomic model (AUC: 0.760, 95%CI: 0.580–0.939), and combined 3 mm/5 mm radiomic model(AUC: 0.772, 95%CI: 0.593–0.952; AUC: 0.766; 95%CIs: 0.580–0.953). Radiologists had higher diagnostic performance and confidence score with the aid of the combined 3 mm radiomic model. The combined 3 mm radiomic model of non-enhanced CT can identify poorly differentiated INMA with excellent performance and improve radiologists to achieve better diagnostic performance.
Publisher Correction: Predicting habitat suitability of Illicium griffithii under climate change scenarios using an ensemble modeling approach
Microbial metabolites associated in stool and left ventricle of heart failure patients revealed by meta-analysis
A risk based pollination network for non-Apis bees demonstrates the importance of understory plant contamination
The overwintering situation and influencing factors of Fulmekiola serrata in Yunnan sugarcane planting areas of China
Coenzyme Q10 protects keratinocytes against oxidation-induced energy stress as revealed by spatiotemporal analysis of cell energetics
Exploring the efficacy of Benincasa hispida extract on obesity linked inflammatory bowel disease by integrating computational analysis and experimental validations
Multiple-to-single maximum power point tracking for empowering conventional MPPT algorithms under partial shading conditions
The effect of inflammatory markers on mortality in patients with acute myocardial infarction
Abstract Consider that inflammatory factors are associated with short-term mortality in patients with acute myocardial infarction (AMI). In this retrospective analysis of 2,784 AMI patients from the Medical Information Mart for Intensive Care-IV database, we evaluated the impact of inflammatory markers on in-hospital mortality and predicted 30-day and 90-day outcomes. Patients were divided into groups based on in-hospital survival (n = 2,364) and mortality (n = 420). Analysis of initial hospital admission laboratory data, including inflammatory factors, revealed these factors as independent predictors of in-hospital mortality (Q4 of RDW: OR 1.96, NLR: OR 1.63, SII: OR 1.85, and SIRI: OR 2.23, all P < 0.05). Cox proportional hazards models confirmed their significance for predicting 30-day (Q4 of NLR: OR 1.83, SII: OR 1.86, and SIRI: OR 2.01, all P < 0.05) and 90-day mortality (Q4 of RDW: OR 1.46, NLR: OR 1.69, SII: OR 1.73, and SIRI: OR 1.72, all P < 0.05). Increasing levels of inflammatory markers correlated with higher odds and hazard ratios, as illustrated by Restricted Cubic Spline curves. Kaplan-Meier survival analysis showed better survival rates with lower inflammatory marker levels. Receiver operating characteristic curves demonstrated good predictive performance of individual inflammatory factors, with a new composite marker showing the highest predictive ability (AUC = 0.720). This study underscores the association of inflammatory factors with both hospital and short-term mortality in AMI patients.
Valorization of nano additives effects on the physical, mechanical and radiation shielding properties of high strength concrete
The effects of climate change on EO/IR propagation using CMIP6 global atmospheric forecasting simulations
Abstract Climate change-driven atmospheric effects are of particular concern to those who operate electro-optic and infrared (EO/IR) sensors, as atmospheric constituents such as water vapor, carbon dioxide, and aerosols drive the absorption and scattering effects necessary to characterize deployed optical system performance. Current models of EO/IR propagation are fed by statistics built off the historical state of the atmosphere by utilizing ground based observations, satellite data, or reanalysis datasets. Such methods are effective at characterizing EO/IR propagation for historical time periods, but do little to inform decisions related to future sensor deployment. This work utilizes future projections of atmospheric variables from the Coupled Model Intercomparison Project (CMIP6), an international collection of climate models, to characterize atmospheric transmittance, a metric closely tied to EO/IR performance. Analysis of regional transmittance (particularly in the long-wave infrared) reveals drops by as much as 20% from 2015-2100 for a path as short as 2 km - this is nearly a doubling of the band averaged extinction coefficient.
Optimizing resource allocation for IoT applications in the edge cloud continuum using hybrid metaheuristic algorithms
A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy
Assessment of carcinogenic risk from indoor radon exposure influenced by geological structures in the mountains of southern Caspian Sea
CSP ubiquitylation favours Plasmodium berghei survival during early liver stage infection
Assessing insecticide susceptibility status of Anopheles mosquitoes in Gondar zuria district, Northwest Ethiopia
Radiological risks in Nasser lake water and their health and environmental implications
Abstract This study aimed to evaluate the activity concentrations of naturally occurring radionuclides (NORs) in Nasser Lake water, assess the associated radiological risks, and investigate the potential health and environmental impacts. The presence of these NORs is attributed to both natural geological formations, such as uranium-rich granitic and metamorphic rocks, and anthropogenic activities, including agricultural runoff. Water samples were analyzed for radium-226 (Ra-226), thorium-232 (Th-232), and potassium-40 (K-40). The Ra-226 concentration ranged from 0.08 ± 0.003 to 1.28 ± 0.06 becquerel per liter (Bq/l), mostly between 0.2 and 1.0 Bq/l, reflecting geological and anthropogenic influences. The symbol (±) represents the measurement uncertainty associated with gamma spectrometric analysis. According to international radiation safety guidelines, Ra-226 levels below 1 Bq/l are considered safe for consumption. The Th-232 concentration varied from 0.04 ± 0.001 to 0.96 ± 0.06 Bq/l, showing significant spatial variation. Similarly, K-40 concentrations ranged from 1.35 ± 0.11 to 16.57 ± 1.43 Bq/l, with some notably high values. The annual effective dose (E ff ) ranged from 15.8 to 266.15 micro sievert per year (µSv/y) for adults, reaching 362.92 µSv/y for children and 221.54 µSv/y for infants. The doses for children and infants exceeded the recommended thresholds. Cancer risk (CR) assessments showed that men’s mortality risks ranged from 2.56 × 10−5 to 4.10 × 10−4, while women’s ranged from 2.68 × 10−5 to 4.29 × 10−4. Morbidity risks varied between 3.72 × 10−5 and 5.95 × 10−4 for men and 3.89 × 10−5 to 6.22 × 10−4 for women. These risks correlate with specific lake locations, highlighting hot spots with elevated radioactive content. Water acidity levels (pH) ranged from 6.23 to 7.9, indicating predominantly neutral to slightly alkaline conditions. These variations correlated with electrical conductivity (EC), reflecting complex interaction between pH, EC, and NORs. The study assesses gamma radiation hazards from external exposure and internal risks from alpha-emitting radionuclides, such as Ra-226 and Th-232, through water ingestion. While most samples comply with standard radiation limits, elevated radionuclide levels in certain areas pose potential health risks, particularly for vulnerable populations like children. Continuous monitoring of radiological parameters in Naser Lake is essential to trace long-term trends and ensure safety compliance. Additionally, advanced water treatment methods could help mitigate radionuclide concentrations in affected areas.