Reimplantation for bicuspid aortic valve repair showed acceptable mid-term outcomes. Reimplantation for bicuspid aortic valve repair showed acceptable mid-term outcomes.Patients are often required to follow a medical treatment after discharge, e.g., for a chronic condition, rehabilitation after surgery, or for cancer survivor therapies. The need to adapt to new lifestyles, medication, and treatment routines, can produce an individual burden to the patient, who is often at home without the full support of healthcare professionals. Although technological solutions -in the form of mobile apps and wearables- have been proposed to mitigate these issues, it is essential to consider individual characteristics, preferences, and the context of a patient in order to offer personalized and effective support. The specific events and circumstances linked to an individual profile can be abstracted as a patient trajectory, which can contribute to a better understanding of the patient, her needs, and the most appropriate personalized support. Although patient trajectories have been studied for different illnesses and conditions, it remains challenging to effectively use them as the basis for data analytics methodologies in decentralized eHealth systems. In this work, we present a novel approach based on the multi-agent paradigm, considering patient trajectories as the cornerstone of a methodology for modelling eHealth support systems. In this design, semantic representations of individual treatment pathways are used in order to exchange patient-relevant information, potentially fed to AI systems for prediction and classification tasks. This paper describes the major challenges in this scope, as well as the design principles of the proposed agent-based architecture, including an example of its use through a case scenario for cancer survivors support.Few reports of Cryptosporidium spp. in snakes in China have been published. To determine the infection rate and document the presence of Cryptosporidium in pet snakes using molecular methods, 273 fecal samples were collected from eight species of pet snakes from 13 pet households in Beijing, China, and were examined by PCR amplification of the small subunit ribosomal RNA gene. Cryptosporidium was detected from 17 of 273 (6.2%) samples, and nine out of 13 households tested positive for Cryptosporidium with a range of 3.3 to 33.3% among households showing significant difference (p  0.05). Two Cryptosporidium species were identified Cryptosporidium serpentis in 10 samples and Cryptosporidium varanii in seven samples. No zoonotic Cryptosporidium species occur in our study populations.During the transmission process in publishing the article online, the equal (=) sign was replaced with "0" in Equations 1 to 5. The original article has been corrected. There are few reports of COVID-19 in neonates and most are suspected to be due to postnatal transmission. Vertical transmission has been proven in only a couple of cases so far. We describe early-onset, severe COVID-19 disease in a neonate with very strong evidence of vertical transmission of SARS-CoV-2. A COVID-19 suspected mother, who tested negative by RT-PCR for COVID, but tested positive for SARS-CoV-2 by serology, delivered a term baby. The neonate was kept in strict isolation. Molecular tests for SARS-CoV-2 on umbilical stump, placenta, and nasopharyngeal aspirate of the neonate, collected at birth were positive. https://www.selleckchem.com/products/dmog.html On day 2, the neonate developed clinical features of COVID in the form of fever, poor feeding, and hyperbilirubenemia along with elevated inflammatory markers. Antibiotics were started empirically pending cultures. Blood, CSF, and urine cultures were sterile. Baby tested RT-PCR positive for SARS-CoV-2 on two more occasions before testing positive for antibodies and was discharged on day 21 of life. This report highlights a very strong possibility of vertical transmission of COVID-19 from a mildly symptomatic, RT-PCR negative but antibody-positive mother with significant symptomatic, early-onset neonatal infection. This report highlights a very strong possibility of vertical transmission of COVID-19 from a mildly symptomatic, RT-PCR negative but antibody-positive mother with significant symptomatic, early-onset neonatal infection.The salience network (SN) anchored by the anterior insula and cingulate is crucial for the autonomic control of body homeostasis. Resting-sate fMRI studies have linked intrinsic SN connectivity with multiple autonomic measures, but little is known about the structural organization of this system relating to cardiac vagal function. To address the above issue, the current study used covariance analysis of MRI-based gray matter volume (GMV) to map structural covariance of SN with two independent datasets, and then determined whether interregional structural connections within SN related to individual differences in vagally-mediated heart rate variability (HRV). The results showed a significant positive association between structural covariance of the SN and vagal component of HRV in two independent samples. More importantly, the conjunction and pooled data analysis revealed that structural correlation from left anterior insula to dorsal anterior cingulate cortex positively interacted with vagally-mediated HRV. The current results demonstrated a crucial role of the SN in the cortical modulation of efferent vagal activity to the heart, and provided new insight into structural neural network implicated in cardiac vagal control. To date, a systematic characterization of abnormalities in resting-state effective connectivity (rsEC) in obsessive-compulsive disorder (OCD) is lacking. The present study aimed to systematically characterize whole-brain rsEC in OCD patients as compared to healthy controls. Using resting-state fMRI data of 50 unmedicated patients with OCD and 50 healthy participants, we constructed whole-brain rsEC networks using Granger causality analysis followed by univariate and multivariate comparisons between patients and controls. Similar analyses were performed for resting-state functional connectivity (rsFC) networks to examine how rsFC and rsEC differentially capture abnormal brain connectivity in OCD. Univariate comparisons identified 10 rsEC networks that were significantly disrupted in patients, and which were mainly associated with frontal-parietal cortex, basal ganglia, and cerebellum. Conversely, abnormal rsFC networks were widely distributed throughout the whole brain. Multivariate pattern analysis revealed a classification accuracy as high as 80.