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Author Correction: Characterization of the natural fibers extracted from the aninga’s stem and development of a unidirectional polymeric sheet
NLRP3 overexpression exacerbated synovium tissue degeneration in juvenile collagen-induced arthritis
Impact of the dispersive patch placement on dissipated power in radiofrequency ablation for pulmonary vein isolation via a virtual patient study
Abstract Radiofrequency ablation (RFA) is a minimally invasive technique for treating arrhythmias by interrupting abnormal electrical signals in the heart. Through a catheter tip, it delivers an alternating current that flows through the heart muscle tissue and the blood to a dispersive patch on the patient’s skin. This study aims to test the hypothesis that the placement of the dispersive patch affects the efficacy and safety of RFA. By optimizing the patch position, the procedure could be made more effective and less risky for patients. A 3D in-silico model, based on patient imaging data, was developed to examine the effects of dispersive patch (DP) positioning on electric field distribution within cardiac tissue and the torso during RFA. We conducted 80 computer simulations using a CT-segmented torso model, exploring various DP and electrode configurations while applying standard (25 W) and high (90 W) power settings. For each configuration, we assessed the effectiveness of the DP in delivering power to cardiac tissue near the electrode. The main finding indicates that DP efficacy is significantly influenced by the current delivered to cardiac tissue. Notably, using an anterior patch during ablation proved more effective for the posterior left atrium compared to a posterior patch.
Metabolic profiling and gene expression analyses shed light on the cold adaptation mechanisms of Saposhnikovia divaricata (Turcz.) Schischk
Complement activation and vascular complications after pediatric allogeneic hematopoietic stem cell transplantation
Comparison of accumulation rates of beta-amyloid tracers and their relationship with cognitive changes
The calcineurin-responsive transcription factor Crz1 regulates the expression of CMK2 via a sole CDRE site in its promoter in budding yeast
Effect of color visual stimulation by colored glass lenses on postural control
Reynolds rules in swarm fly behavior based on KAN transformer tracking method
A Stable and Dependable Visual Technique for On-Site Nipah Virus Nucleic Acids Detection
Abstract The Nipah Virus (NiV) is a zoonotic pathogen with the mortality rate of up to 75%, recurring in Asia over the past two decades. Due to increasing the risk of human transmission mediated by various intermediate hosts such as pigs and bats, it is necessary to produce an accurate and reliable point-of-care molecular detection method for NiV field diagnosis. In this study, we designed two pairs of primers targeting the conserved G and P genes and developed a point-of-care nucleic acid detection (POC-NAD) system by integrating one-step RT-PCR, lateral flow immunoassay, and microfluidic technologies. The POC-NAD system shows high specificity and sensitivity, with a Limit of Detection (LoD) of 199.1 copies/rxn. The primers aiming to the conserved sequences enables simultaneous detection of both NiV-M and NiV-B strains. Continuous evaluation of 21 simulated clinical samples demonstrated 100% concordance with RT-PCR results. Lateral flow-based visualization improves the display time and legibility of RT-PCR results. Additionally, microfluidic chips or chambers offer disposable reagent containers and consistent PCR amplification results across various field conditions. Therefore, the diagnostic tool is suitable for real-time nucleic acid testing and NiV surveillance in resource-limited field environments.
LOX+ iCAFs in HNSCC have the potential to predict prognosis and immunotherapy responses revealed by single cell RNA sequencing analysis
Comprehensive genomics, probiotic, and antibiofilm potential analysis of Streptococcus thermophilus strains isolated from homemade and commercial dahi
Effects of COVID-19 related social media use on well-being
Prevalence and associated risk factors of suicidal behaviors among cancer patients in a tertiary care hospital in Bangladesh
Psychometric properties of the nursing critical thinking in clinical practice questionnaire in clinical nurse educators
Chemical investigation of polycyclic aromatic hydrocarbon sources in an urban area with complex air quality challenges
A matching design and parameter identification method of hybrid electric propulsion system
Integration of Euclidean and path distances in hippocampal maps
Abstract The hippocampus is a key region for forming mental maps of our environment. These maps represent spatial information such as distances between landmarks. A cognitive map can allow for flexible inference of spatial relationships that have never been directly experienced before. Previous work has shown that the human hippocampus encodes distances between locations, but it is unclear how Euclidean and path distances are distinguished. In this study, participants performed an object-location task in a virtual environment. We combined functional magnetic resonance imaging with representational similarity analysis to test how Euclidean and path distances are represented in the hippocampus. We observe that hippocampal neural pattern similarity for objects scales with distance between object locations, and suggest that the hippocampus integrates Euclidean and path distances. One key characteristic of cognitive maps is their adaptive and flexible nature. We therefore subsequently modified path distances between objects using roadblocks in the environment. We found that hippocampal pattern similarity between objects adapted as a function of these changes in path distance, selectively in route learners but not in map learners. Taken together, our study supports the idea that the hippocampus creates integrative and flexible cognitive maps.