Browse Articles

Research on collaborative scheduling strategies of multi-agent agricultural machinery groups

A novel SVD-UKFNN algorithm for predicting current efficiency of aluminum electrolysis

0.5 Gy confers resistance to a subsequent high dose of γ-rays by modulating HO-1/Nrf2 and apoptosis pathways

Abstract Ionizing radiation, from the DNA centric view, elicits biological effects and health consequences solely through energy deposition events in the cell nucleus. At higher radiation doses, this is likely true; however, at low doses, non-targeted effects, a subcategory of which is the adaptive response, tend to dominate. Controversies exist over the definition of low dose. From a radiation therapy view, it is defined as 0.5–0.7 Gy. Therefore, we investigated the effects of exposure to ionizing radiation with or without a 0.5 Gy priming dose. Techniques including comet assay, flow cytometry, fluorescence microscopy, and real-time quantitative PCR were employed. In normal lung fibroblasts (WI-38), there was a statistically significant difference in mean normalized tail moments when comparing treatment with the challenge dose alone to treatment with a 0.5 Gy priming dose prior to the challenge dose (P < 0.05). Moreover, pretreatment with a 0.5 Gy priming dose reduced G1 phase cell cycle arrest and cell death—either through apoptosis or mitotic catastrophe—induced by the subsequent 2 Gy exposure. Similarly, A549 Cells pre-exposed to a 0.5 Gy priming dose before a 2 Gy exposure showed a lower percentage of apoptosis than those exposed to the 2 Gy alone. Mechanistically, cells responded to a priming 0.5 Gy by increasing the expression of HMOX1, SOD, and Bcl2 while decreasing of IL-1β and TNF-α. In conclusion, 0.5 Gy induces an adaptive response in lung normal and cancer cell against subsequent high doses of γ-rays. Modulation of the HO-1/Nrf2 and apoptosis pathways underlie the resistance observed in primed cells.

Hybrid manganite-graphene sensor for magnetic field magnitude and direction measurement

Association between triglyceride glucose combined with body mass index and hypertension in the NHANES 2017 to 2020

Abstract Triglyceride glucose-body mass index (TyG-BMI), as a new surrogate index for evaluating insulin resistance (IR), has rarely been studied with the incidence rate of hypertension (HTN). This study aims to explore the correlation between TyG-BMI and HTN in American adults, to find a cost-effective and convenient marker to guide early prevention of HTN. We performed this cross-sectional study based on the NHANES database from 2017 to 2020. A multivariate logistic regression model was used to analyze the correlation between TyG-BMI and the prevalence of HTN. Additionally, stratified analysis was performed to test the robustness of the results. 3,069 eligible participants were included in our study (48.8% male, mean age 50.0 ± 17.2 years), and multivariate logistic regression analysis showed that TyG-BMI was maintained positively correlated with HTN after fully adjusting covariates. For every 10-unit increase in the TyG-BMI, the risk of HTN increases by 4.3% (95% CI: 1.007–1.08, P = 0.018). When TyG-BMI was represented as a Quartile, the relationship between TyG-BMI and increased risk of HTN remained significant, which were statistically significant for each model. Stratified analyses suggested that the correlation between TyG-BMI and HTN was more pronounced in those aged 60 years or older (P < 0.05). The correlation between TyG-BMI and HTN remained stable in all strata except the age subgroup (P > 0.05). TyG-BMI is significantly associated with HTN among American adults. Early monitoring of TyG-BMI may help to monitor early the risk of hypertension.

Video super resolution based on deformable 3D convolutional group fusion

Ground truth clustering is not the optimum clustering

Abstract Data clustering is a fundamental yet challenging task in data science. The minimum sum-of-squares clustering (MSSC) problem aims to partition data points into k clusters to minimize the sum of squared distances between the points and their cluster centers (centroids). Despite being NP-hard, solvers exist that can compute optimal solutions for small to medium-sized datasets. One such solver is SOS-SDP, a branch-and-bound algorithm based on semidefinite programming. We used it to obtain optimal MSSC solutions (optimum clusterings) for various k across multiple datasets with known ground truth clusterings. We evaluated the alignment between the optimum and ground truth clusterings using six extrinsic measures and assessed their quality using three intrinsic measures. The results reveal that the optimum clusterings often differ significantly from the ground truth clusterings. Additionally, the optimum clusterings frequently outperform the ground truth clusterings, according to the intrinsic measures that we used. However, when ground truth clusters are well-separated convex shapes, such as ellipsoids, the optimum and ground truth clusterings closely align.

Mathematical model of the lumpy skin disease using Caputo fractional-order derivative via invariant point technique

Heavy metal concentrations and pollution indicators in the Ennore ecosystem, east coast of Tamilnadu, India using atomic absorption spectrometry study with statistical approach

Weekend sedentary behaviour and cognition three months after stroke based on the exploratory analysis of the CANVAS study

Abstract Stroke survivors experience high levels of sedentary behaviour. However, less is known about the variability in weekday-weekend patterns of sedentary behaviour and whether it is linked to cognitive performance. We examined whether there was a difference in weekend and weekday amount of time spent in sedentary and moderate-to-vigorous physical activity (MVPA) at three months post-stroke and whether there was an association between these patterns and cognitive performance at three months. We included ischaemic stroke survivors from the Cognition And Neocortical Volume After Stroke (CANVAS) cohort, with objective physical activity data estimated using the SenseWear® Armband. We compared physical activity levels between 97 stroke survivors (minor severity) and 37 control participants on weekends and weekdays in sedentary and MVPA zones. We then linked these outcomes to cognitive functioning at three months. While both stroke and control groups had a comparable decrease in MVPA on weekends compared to weekdays, we observed a significant increase in sedentary activity [55 min on average (95% Confidence Interval 77 − 33) with a small effect size - partial eta squared = 0.036)] on weekends in the stroke group but not in controls. When we compared two groups of stroke participants ‘more sedentary’ vs. ‘less sedentary’—based on weekend activity, we observed a higher proportion of stroke survivors classified as cognitively impaired vs. cognitively normal in the ‘more sedentary’ group. Further analysis showed the groups differed significantly on their cognitive performance, especially in the memory domain. There is a significant difference in the amount of sedentary behaviour, but not MVPA, on weekends vs. weekdays in the stroke group. Furthermore, we demonstrate that a higher amount of sedentary activity on the weekend is associated with worse cognitive performance at three months, especially on memory tasks. These results are exploratory but suggest that decreasing sedentary behaviour, especially on the weekend, could be specifically investigated as a therapeutic target to maintain better cognition after stroke.

Association between long-term exercise with different osteogenic index, dietary patterns, body composition, biological factors, and bone mineral density in female elite masters athletes

The PLANS model predicts recurrent strokes in patients with minor ischemic strokes

Conditional variational auto encoder based dynamic motion for multitask imitation learning

COVID-19 health data prediction: a critical evaluation of CNN-based approaches

Triglyceride/high density lipoprotein cholesterol index and future cardiovascular events in diabetic patients without known cardiovascular disease

Soft switched high gain trans inverse DC-DC converter based on three winding coupled inductor for renewable energy applications

Abstract This article discusses non-isolated, trans-inverse, coupled inductor (CI)-based, soft-switching, high-gain DC-to-DC converter topology for renewable sources. The three-winding CI is utilized to achieve a high voltage gain with a reduced turns ratio. The energy associated with the magnetic components is recycled by the passive clamp circuit through diodes, and finally it pushes the output voltage to enhance the converter voltage gain. Besides, the soft switching performance of the clamping circuit occurs during the turn-off time of the controlled switch, thereby reducing the switching loss and the reverse recovery issue on the diodes. The proposed topology benefits from a reduced component count and enhances the output voltage gain. Furthermore, the topology performance analysis is carried out using PSIM simulation, and a 250W prototype using a dSPACE controller is analyzed with theoretical expressions.

Gestational high-sucrose diet mediated vascular hyper-contractility in mesenteric arteries from offspring

Nomogram model to predict the risk of moderate to severe ovarian hyperstimulation syndrome of long protocol group in fresh cycle

Abnormal heart sound recognition using SVM and LSTM models in real-time mode

Artificial structures can facilitate rapid coral recovery under climate change

Abstract Rising seawater temperatures from climate change have caused coral bleaching, risking coral extinction by century’s end. To save corals, reef restoration must occur alongside other climate-change mitigation. Here we show the effectiveness of habitat creation on artificial structures for rapid coral restoration in response to climate change. We use 29 years of field observations for coral distributions on breakwaters and surrounding reefs (around 33,000 measurements in total). Following bleaching in 1998, breakwaters had higher coral cover (mainly Acropora spp.) than did surrounding natural reefs. Coral recovery times on breakwaters matched the frequency of recent bleaching events (~ every 6 years) and were accelerated by surface processing of the artificial structures with grooves. Corals on breakwaters were more abundant in shallow waters, under high light, and on moderately sloped substrate. Coral abundance on breakwaters was increased by incorporating shallow areas and surface texture. Our results suggest that habitat creation on artificial structures can increase coral community resilience against climate change by increasing coral recovery potential.