Phylogenetic network of infectious bronchitis virus: exploring the impact of migratory birds on viral clustering, evolution, and recombination.

Infectious bronchitis virus (IBV) presents a major threat to global poultry production, necessitating a thorough understanding of its evolutionary relationships for effective control measures. This study presents a novel distance-based Minimum Span Clustering (MSClustering) method to cluster 311 IBV strains, with a comparison of its results to the established IBV classification. Phylogenetic network and recombination analyses were employed to investigate IBV evolutionary relationships and transmission pathways.

Social functioning and frontal alpha asymmetry in schizophrenia.

Background: Schizophrenia (SZ) is a psychiatric disorder that often involves reduced social functioning. Frontal alpha asymmetry (FAA) is a neurophysiological marker extracted from electroencephalogram (EEG) data that is likely related to motivational and emotional tendencies, such as reduced motivation across various psychiatric disorders, including SZ. Therefore, it may offer a neurophysiological marker for social functioning.

Unraveling the evolutionary patterns and phylogenomics of coronaviruses: A consensus network approach.

The COVID-19 pandemic emphasizes the significance of studying coronaviruses (CoVs). This study investigates the evolutionary patterns of 350 CoVs using four structural proteins (S, E, M, and N) and introduces a consensus methodology to construct a comprehensive phylogenomic network. Our clustering of CoVs into 4 genera is consistent with the current CoV classification.

MSClustering: A Cytoscape Tool for Multi-Level Clustering of Biological Networks.

MSClustering is an efficient software package for visualizing and analyzing complex networks in Cytoscape. Based on the distance matrix of a network that it takes as input, MSClustering automatically displays the minimum span clustering (MSC) of the network at various characteristic levels. To produce a view of the overall network structure, the app then organizes the multi-level results into an MSC tree.

Factors Related to Passive Social Withdrawal and Active Social Avoidance in Schizophrenia.

Social withdrawal in schizophrenia may be a result of "passive" motivation (reduced drive to engage) or "active" motivation (increased drive to avoid). We conducted a cross-sectional, between-subjects study using self-report measures and social cognition tasks to evaluate the relationships between motivational subtypes, social abilities, and social functioning in schizophrenia spectrum (n = 52, ages 19-34). Regression models showed significant differences in passive and active withdrawal.

Combining MRI and cognitive evaluation to classify concussion in university athletes.

Current methods of concussion assessment lack the objectivity and reliability to detect neurological injury. This multi-site study uses combinations of neuroimaging (diffusion tensor imaging and resting state functional MRI) and cognitive measures to train algorithms to detect the presence of concussion in university athletes. Athletes (29 concussed, 48 controls) completed symptom reports, brief cognitive evaluation, and MRI within 72 h of injury.

Effect of Brief Training to Identify Autism Spectrum Disorder During Toddler Well-Child Care Visits.

Objective: To examine the effect of a brief Enhanced training using the information-motivation-behavior (IMB) change model on improving providers' surveillance rates and accuracy of autism spectrum disorder (ASD) detection.

Method: Toddlers (n = 5,672) were screened for ASD during their pediatric well-child visits. Pediatric providers (n = 120) were randomized to receive Enhanced (incorporating components of the IMB model) or Control training.

Early and Repeated Screening Detects Autism Spectrum Disorder.

Objective: To evaluate timing and accuracy of early and repeated screening for autism spectrum disorder (ASD) during well-child visits.

Study Design: Using a longitudinal study design, toddlers (n = 5784) were initially screened at 12 (n = 1504), 15 (n = 1228), or 18 (n = 3052) months during well-child visits, and rescreened at 18, 24, and 36 months. Of those screened, 368 toddlers attended an ASD evaluation after a positive screen and/or a provider concern for ASD at any visit.

Hesperetin-5,7,3'--Trimethylether Dually Inhibits Phosphodiesterase 3/4 and Methacholine-Induced Airway Hyperresponsiveness in Sensitized and Challenged Mice.

Introduction: Hesperetin-5,7,3'--trimethylether (HTME), a synthetic liposoluble hesperetin, has been reported to be a dual phosphodiesterase (PDE)3/4 inhibitor. We investigated its inhibitory effects on methacholine (MCh)-induced airway hyperresponsiveness (AHR) and its potential for treating atypical asthma and COPD.

Methods: FlexiVent system was used to determine AHR in ovalbumin (OVA) sensitized and challenged mice.

SeQuery: an interactive graph database for visualizing the GPCR superfamily.

The rate at which new protein and gene sequences are being discovered has grown explosively in the omics era, which has increasingly complicated the efficient characterization and analysis of their biological properties. In this study, we propose a web-based graphical database tool, SeQuery, for intuitively visualizing proteome/genome networks by integrating the sequential, structural and functional information of sequences. As a demonstration of our tool's effectiveness, we constructed a graph database of G protein-coupled receptor (GPCR) sequences by integrating data from the UniProt, GPCRdb and RCSB PDB databases.

Butylidenephthalide facilitates contractions via nonspecific binding to receptors in isolated guinea-pig vas deferens.

Butylidenephthalide (Bdph) has been reported to inhibit rat uterine contractions, but significantly potentiate the noradrenaline (NA)-induced contractions in guinea-pig vas deferens (GPVDs). The present study elucidates the binding specificity of Bdph in GPVD to potentiate contractions. Electrical field stimulation (EFS, supramaximal voltage, 1 ms and 1 Hz) or exogenous NA (50 μM) was applied to the GPVD in Krebs or 1/10 Mg-Tyrode's solution, respectively.

Mechanisms of butylidenephthalide for twitch facilitation in electrically stimulated mouse vas deferens.

Context: The rhizome of Ligusticum chuaxiong Hort. (Umbelliferae) has been used by Chinese for several thousand years. Its main constituent, butylidenephthalide (Bdph), was proved to be active in inhibiting rat uterine contractions induced by prostaglandin F and was reported to be a nonspecific antispamodic and a blocker of voltage-dependent Ca channels (VDCCs).

Risk factors and prediction model for persistent breast-cancer-related lymphedema: a 5-year cohort study.

Purpose: Breast-cancer-related lymphedema (BCRL) can be a transient or persistent condition. The aims of this study were to (1) identify and weigh the risk factors for persistent lymphedema (PLE) among all patients with BCRL and (2) establish a prediction model for the occurrence of PLE.

Methods: A cohort of 342 patients with BCRL with a median follow-up of 5 years after the onset of swelling was analyzed.

Long-range gamma phase synchronization as a compensatory strategy during working memory in high-performing patients with schizophrenia.

Working memory deficits in schizophrenia may be associated with impairments in the integration of neural activity across a distributed network of cortical areas. However, evaluation of the contribution of this integration to working memory impairments in patients is severely confounded by behavioral performance. In the present multidimensional-neuroimaging study, measures of neural oscillations at baseline and during a working memory task, baseline gamma-aminobutyric acid (GABA) level in the left dorsolateral prefrontal cortex (DLPFC), and behavioral performance were obtained.

Effects of chronic ketamine on hippocampal cross-frequency coupling: implications for schizophrenia pathophysiology.

Disrupted neuronal oscillations have been identified as a potentially important biomarker for the perceptual and cognitive symptoms of schizophrenia. Emerging evidences suggest that interactions between different frequency bands, cross-frequency coupling (CFC), serve an important role in integrating sensory and cognitive information and may contribute to disease pathophysiology. In this study, we investigated the effects of 14-day consecutive administration of ketamine (30 mg/kg i.

An algorithm for the split-feasibility problems with application to the split-equality problem.

In this paper, we study the split-feasibility problem in Hilbert spaces by using the projected reflected gradient algorithm. As applications, we study the convex linear inverse problem and the split-equality problem in Hilbert spaces, and we give new algorithms for these problems. Finally, numerical results are given for our main results.

Visualizing the GPCR Network: Classification and Evolution.

In this study, we delineate an unsupervised clustering algorithm, minimum span clustering (MSC), and apply it to detect G-protein coupled receptor (GPCR) sequences and to study the GPCR network using a base dataset of 2770 GPCR and 652 non-GPCR sequences. High detection accuracy can be achieved with a proper dataset. The clustering results of GPCRs derived from MSC show a strong correlation between their sequences and functions.

Virulence of Japanese Encephalitis Virus Genotypes I and III, Taiwan.

The virulence of genotype I (GI) Japanese encephalitis virus (JEV) is under debate. We investigated differences in the virulence of GI and GIII JEV by calculating asymptomatic ratios based on serologic studies during GI- and GIII-JEV endemic periods. The results suggested equal virulence of GI and GIII JEV among humans.

Hesperetin-5,7,3'-O-triacetate suppresses airway hyperresponsiveness in ovalbumin-sensitized and challenged mice without reversing xylazine/ketamine-induced anesthesia in normal mice.

Background: We recently reported that hesperetin-5,7,3'-O-triacetate (HTA) dually inhibited phosphodiesterase (PDE)3/4 with a therapeutic ratio of 20.8. The application and development of PDE4 inhibitors for treating asthma or COPD are limited by their side effects, such as nausea, vomiting and gastric hypersecretion.

Synchronization and Inter-Layer Interactions of Noise-Driven Neural Networks.

In this study, we used the Hodgkin-Huxley (HH) model of neurons to investigate the phase diagram of a developing single-layer neural network and that of a network consisting of two weakly coupled neural layers. These networks are noise driven and learn through the spike-timing-dependent plasticity (STDP) or the inverse STDP rules. We described how these networks transited from a non-synchronous background activity state (BAS) to a synchronous firing state (SFS) by varying the network connectivity and the learning efficacy.

Ratings of Broader Autism Phenotype and Personality Traits in Optimal Outcomes from Autism Spectrum Disorder.

The study examines whether "optimal outcome" (OO) children, despite no longer meeting diagnostic criteria for Autism Spectrum Disorder (ASD), exhibit personality traits often found in those with ASD. Nine zero acquaintance raters evaluated Broader Autism Phenotype (BAP) and Big Five personality traits of 22 OO individuals, 27 high functioning individuals with ASD (HFA), and 23 typically developing (TD) peers. HFA children displayed higher ratings than their peers on all BAP traits.

Use of the Modified Checklist for Autism, Revised with Follow Up-Albanian to Screen for ASD in Albania.

The Modified Checklist for Autism in Toddlers Revised-Albanian screener (M-CHAT-R-A) was used to screen 2594 toddlers, aged 16-30 months, at well-child visits. Two hundred fifty-three (9.75 %) screened positive; follow up on failed items were conducted by phone with 127 (50 %); the remainder were lost to follow-up.

Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults.

Background: With millisecond-level resolution, electroencephalographic (EEG) recording provides a sensitive tool to assay neural dynamics of human cognition. However, selection of EEG features used to answer experimental questions is typically determined . The utility of machine learning was investigated as a computational framework for extracting the most relevant features from EEG data empirically.