The extension of the Painlevé–Calogero correspondence for the n -particle Inozemtsev systems raises to the multi-particle generalisations of the Painlevé equations. This extension may be obtained by the Hamiltonian reduction applied to the matrix Painlevé systems. Additionally, such procedure gives an isomonodromic formulation for these non-autonomous Hamiltonian systems. We provide dual systems for the rational multi-particle Painlevé systems ( P_{\textup{I}} , P_{\textup{II}} and P_{\textup{IV}} ) using the Hamiltonian reduction. We describe this duality in terms of the spectral curve of a non-reduced system compared to the Ruijsenaars duality.

Similarity analyses between multiple correlation or covariance tables constitute the cornerstone of network neuroscience. Here, we introduce covSTATIS, a versatile, linear, unsupervised multi-table method designed to identify structured patterns in multi-table data, and allow for the simultaneous extraction and interpretation of both individual and group-level features. With covSTATIS, multiple similarity tables can now be easily integrated, without requiring a priori data simplification, complex black-box implementations, user-dependent specifications, or supervised frameworks. Applications of covSTATIS, a tutorial with Open Data and source code are provided. CovSTATIS offers a promising avenue for advancing the theoretical and analytic landscape of network neuroscience.

Reactive arthritis is an acute inflammatory aseptic arthritis that is preceded by an infectious process in genetically predisposed individuals. It has been associated with gastrointestinal or genitourinary infection. Reactive arthritis is rare in children. In this review, we present two index cases that need biologic treatment followed by a thorough review of reactive arthritis in children and adolescents with proposed treatment algorithm.

In the last decade, liver diseases with high mortality rates have become one of the most important health problems in the world. Organ transplantation is currently considered the most effective treatment for compensatory liver failure. An increasing number of patients and shortage of donors has led to the attention of reconstructive medicine methods researchers. The biggest challenge in the development of drugs effective in chronic liver disease is the lack of a suitable preclinical model that can mimic the microenvironment of liver problems. Organoid technology is a rapidly evolving field that enables researchers to reconstruct, evaluate, and manipulate intricate biological processes in vitro. These systems provide a biomimetic model for studying the intercellular interactions necessary for proper organ function and architecture in vivo. Liver organoids, formed by the self-assembly of hepatocytes, are microtissues and can exhibit specific liver characteristics for a long time in vitro. Hepatic organoids are identified as an impressive tool for evaluating potential cures and modeling liver diseases. Modeling various liver diseases, including tumors, fibrosis, non-alcoholic fatty liver, etc., allows the study of the effects of various drugs on these diseases in personalized medicine. Here, we summarize the literature relating to the hepatic stem cell microenvironment and the formation of liver Organoids.

Compared with time-independent Hamiltonians, the dynamics of generic quantum Hamiltonians H(t) are complicated by the presence of time ordering in the evolution operator. In the context of digital quantum simulation, this difficulty prevents a direct adaptation of many time-independent simulation algorithms for time-dependent simulation. However, there exists a framework within the theory of dynamical systems that eliminates time ordering by adding a “clock” degree of freedom. In this work, we provide a computational framework, based on this reduction, for encoding time-dependent dynamics as time-independent systems. As a result, we make two advances in digital Hamiltonian simulation. First, we create a time-dependent simulation algorithm based on performing qubitization on the augmented clock system and, in doing so, provide the first qubitization-based approach to time-dependent Hamiltonians that goes beyond Trotterization of the ordered exponential. Second, we define a natural generalization of multiproduct formulas for time-ordered exponentials and then propose and analyze an algorithm based on these formulas. Unlike other algorithms of similar accuracy, the multiproduct approach achieves commutator scaling, meaning that this method outperforms existing methods for physically local time-dependent Hamiltonians with sufficient smoothness. Our work reduces the disparity between time-dependent and time-independent simulation and indicates a step toward optimal quantum simulation of time-dependent Hamiltonians. Published by the American Physical Society 2024

Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on the cross-sectional changes of brain aging. In this investigation, we present a data-driven approach that incorporate both cross-sectional changes and longitudinal trajectories of structural brain aging and identified two brain aging patterns among 37,013 healthy participants from UK Biobank. Participants with accelerated brain aging also demonstrated accelerated biological aging, cognitive decline and increased genetic susceptibilities to major neuropsychiatric disorders. Further, by integrating longitudinal neuroimaging studies from a multi-center adolescent cohort, we validated the 'last in, first out' mirroring hypothesis and identified brain regions with manifested mirroring patterns between brain aging and brain development. Genomic analyses revealed risk loci and genes contributing to accelerated brain aging and delayed brain development, providing molecular basis for elucidating the biological mechanisms underlying brain aging and related disorders.

Enhanced recovery after surgery (ERAS) protocols are multimodal evidence-based care plans that have been adopted for multiple surgical procedures to promote faster and better patient recovery and shorter hospitalization. This study aimed to explore whether worldwide fetal therapy centers offering prenatal myelomeningocele repair implement the ERAS principles and to provide recommendations for improved perioperative management of patients. In this survey study, a total of 53 fetal therapy centers offering prenatal surgery for open spina bifida were identified and invited to complete a digital questionnaire covering their pre-, intra- and postoperative management. An overall score was calculated per center based on compliance with 20 key ERAS principles, extrapolated from ERAS guidelines for Cesarean section, gynecological oncology and colorectal surgery. Each item was awarded a score of 1 or 0, depending, respectively, on whether the center did or did not comply with that principle, with a maximum score of 20. The questionnaire was completed by 46 centers in 17 countries (response rate, 87%). In total, 22 (48%) centers performed exclusively open fetal surgery (laparotomy and hysterotomy), whereas 14 (30%) offered both open and fetoscopic procedures and 10 (22%) used only fetoscopy. The perioperative management of patients undergoing fetoscopic and open surgery was very similar. The median ERAS score was 12 (range, 8-17), with a mean ± SD of 12.5 ± 2.4. Center compliance was the highest for the use of regional anesthesia (98%), avoidance of bowel preparation (96%) and thromboprophylaxis (96%), while the lowest compliance was observed for preoperative carbohydrate loading (15%), a 2-h fasting period for clear fluids (20%), postoperative nausea and vomiting prevention (33%) and early feeding (35%). ERAS scores were similar in centers with a short (2-5 days), medium (6-10 days) and long (≥ 11 days) hospital stay (mean ± SD, 12.9 ± 2.4, 12.1 ± 2.0 and 10.3 ± 3.2, respectively, P = 0.15). Furthermore, there was no significant association between ERAS score and surgical technique or case volume. The perioperative management of fetal spina bifida surgery is highly variable across fetal therapy centers worldwide. Standardized protocols integrating ERAS principles may improve patient recovery, reduce maternal morbidity and shorten the hospital stay after fetal spina bifida surgery. © 2024 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.