Browse Articles

Disulfidptosis-related LncRNAs forecast the prognosis of acute myeloid leukemia

CD147 regulates the Rap1 signaling pathway to promote proliferation, migration, and invasion, and inhibit apoptosis in colorectal cancer cells

A medium-chain fatty acid analogue prevents endotoxin liver injury in a murine model

Anti-cancer Effects of 1,4-Dialkoxynaphthalene-Imidazolium Salt Derivatives through ERK5 kinase activity inhibition

A new intrusion detection method using ensemble classification and feature selection

Insemination methods for embryos transferred in frozen-thawed embryo transfer cycles do not impact reproductive outcomes in couples with non-male factor infertility

Correlation between pan immune inflammation value and testosterone deficiency risk increase

Monitoring bands during the Norwegian national day parade: a case study on urban distributed acoustic sensing

Abstract Existing networks of fiber optic telecommunication infrastructure can be used to measure acoustic events. For this purpose, a laser instrumentation is attached to a “dark fiber” turning it into a Distributed Acoustic Sensing (DAS) device. In May 2023, a DAS test was conducted to measure acoustic activity in Oslo, Norway. The main purpose was to measure the “pulse” of the Oslo city center during the Norwegian National Day parade. Additionally, five days before and after the National Day were recorded for reference to daily acoustic background noise conditions in Oslo. Data during the National Day captured the yearly parade in which schools and bands participate. Using this data, it was possible to detect the participating bands, analyze their frequency content, and estimate their walking speed and step length. High-order harmonics were recognized in the frequency response for the bands. A total of 88 bands participated in the parade and 87 were detected using the harmonic characteristics. While one individual band could be tracked before the main parade over separate streets, it was challenging to continue the track for other bands within the parade. The test revealed that DAS can be used as part of decision support systems for crowd monitoring.

Biomechanical optimization and reinforcement learning provide insight into transition from ankle to hip strategy in human postural control

Prognostic impact of extracellular volume fraction derived from equilibrium contrast-enhanced CT in HCC patients receiving immune checkpoint inhibitors

Identification of a potent attractant and oviposition stimulant blend for Bactrocera dorsalis for sustainable pest management

Flood risk susceptibility analysis in Larkana district Pakistan using multi criteria decision analysis and geospatial techniques

Winter activity of tricolored bats in aboveground and subterranean hibernacula in the southeastern USA

Abstract Susceptibility of bats to white-nose syndrome (WNS), a lethal disease caused by the fungus Pseudogymnoascus destructans (Pd), may be influenced by the amount of activity outside hibernacula during the winter. We tested the effects of hibernaculum type (aboveground or subterranean) and Pd status (positive or negative) on winter activity of tricolored bats (Perimyotis subflavus) in the southeastern USA along with the effects of ambient temperature, precipitation, and stage of hibernation. We placed acoustic detectors at the entrances of 13 hibernacula (4 aboveground and Pd-positive, 4 aboveground and Pd-negative, 4 subterranean and Pd-positive, and 1 subterranean and Pd-negative) during winter 2020–21 and 2021–22. While neither hibernaculum type nor Pd status alone predicted probability of activity or levels of activity, these factors interacted with temperature, precipitation, and stage of the hibernation period. Activity increased at a greater rate with temperature and time since the onset of hibernation in aboveground and Pd-negative sites and decreased at a faster rate in response to precipitation. Our results suggest that tricolored bats using aboveground hibernacula such as culverts or bridges may be less susceptible to WNS due to greater nighttime activity. However, use of these structures may have other costs such as higher freezing and predation risks.

Fabrication and application of 3D Terahertz metamaterials with vertical multinanogaps for spectroscopic sensing

VIRMA promotes NSCLC progression by modifying ADAR m6A and increasing the activity of the TGF-β signaling pathway

Hyperspectral leaf reflectance simulation considering internal structure

Wetland shrinking and dust pollution in Khuzestan Iran: insights from sentinel-5 and MODIS satellites

X-ray based radiomics machine learning models for predicting collapse of early-stage osteonecrosis of femoral head

Abstract This study aimed to develop an X-ray radiomics model for predicting collapse of early-stage osteonecrosis of the femoral head (ONFH). A total of 87 patients (111 hips; training set: n = 67, test set: n = 44) with non-traumatic ONFH at Association Research Circulation Osseous (ARCO) stage II were retrospectively enrolled. Following data dimensionality reduction and feature selection, radiomics models were constructed based on anteroposterior (AP), frog-lateral (FL), and AP + FL combined view using random forest (RF), support vector machine (SVM), and stochastic gradient descent (SGD). After the optimal radiomics model was selected based on areas under the curve (AUC), its performance on the test set was compared with that of orthopaedists using receiver operating characteristic (ROC) curves and confusion matrices. Among all radiomics models, the SVM-based AP + FL combined view model (AP + FL-Rad_SVM) achieved the highest individual performance demonstrating an AUC of 0.904 (95% CI 0.829 –0.978) in the test set, which was significantly better than that of three attending surgeons (p = 0.014, 0.004, and 0.045, respectively). The SVM model based on AP + FL views of hip X-ray exhibited excellent ability in predicting the collapse of ONFH and showed superior performance compared with less experienced orthopaedic surgeons. This model may inform clinical decision-making for early-stage ONFH.

Weathering aging resistance in seasonal frozen regions: A comparative study of SBS- and SBR-modified asphalt binders through rheological and morphological characterization

Activin A is deeply involved in the progression of sarcopenia and leads to poor prognosis in lung cancer patients