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Abstract: Atmospheric rivers (ARs) deliver significant and essential precipitation to the western United States (US) with consequential interannual variability. The intensity and frequency of ARs strongly influence reservoir levels, mountain snowpack, and groundwater recharge, which are key drivers of water‐resource availability and natural hazards. Between October 2022 and April 2023, western states experienced exceptionally heavy precipitation from several families of powerful ARs. Using observations of surface‐loading deformation from Global Navigation Satellite Systems, we find that terrestrial water‐storage gains exceeded 100% of normal within vital California watersheds. Independent water‐storage solutions derived from different data‐analysis and inversion methods provide an important measure of precision. The sustained storage increases, which we show are closely associated with ARs at daily‐to‐weekly timescales, alleviated both meteorological and hydrological drought conditions in the region, with a lag in hydrological‐drought improvements. Quantifying water‐storage recovery associated with extreme precipitation after drought advances understanding of an increasingly variable hydrologic cycle.

BACKGROUND: The understanding of bile acid (BA) and unsaturated fatty acid (UFA) profiles, as well as their dysregulation, remains elusive in individuals with type 2 diabetes mellitus (T2DM) coexisting with non-alcoholic fatty liver disease (NAFLD). Investigating these metabolites could offer valuable insights into the pathophy-siology of NAFLD in T2DM. AIM: To identify potential metabolite biomarkers capable of distinguishing between NAFLD and T2DM. METHODS: A training model was developed involving 399 participants, comprising 113 healthy controls (HCs), 134 individuals with T2DM without NAFLD, and 152 individuals with T2DM and NAFLD. External validation encompassed 172 participants. NAFLD patients were divided based on liver fibrosis scores. The analytical approach employed univariate testing, orthogonal partial least squares-discriminant analysis, logistic regression, receiver operating characteristic curve analysis, and decision curve analysis to pinpoint and assess the diagnostic value of serum biomarkers. RESULTS: Compared to HCs, both T2DM and NAFLD groups exhibited diminished levels of specific BAs. In UFAs, particular acids exhibited a positive correlation with NAFLD risk in T2DM, while the ω-6:ω-3 UFA ratio demonstrated a negative correlation. Levels of α-linolenic acid and γ-linolenic acid were linked to significant liver fibrosis in NAFLD. The validation cohort substantiated the predictive efficacy of these biomarkers for assessing NAFLD risk in T2DM patients. CONCLUSION: This study underscores the connection between altered BA and UFA profiles and the presence of NAFLD in individuals with T2DM, proposing their potential as biomarkers in the pathogenesis of NAFLD.

Objective To advance the modernization of rail transit control systems and enhance their safety, reliability and operational efficiency, a cloud-based control system architecture for rail transit is designed. The aim is to effectively integrate and deploy both the safety-critical and non-safety-critical functions of rail transit system onto a cloud platform. Method A cross-regional distributed control is realized by connecting target controllers to cloud platform servers via optical fiber. Characteristics of the rail transit cloud control system are analyzed, safety requirements of the system are outlined across six aspects: time management, space management, shared resource management, operation mode management, degradation mode management and safety monitoring. Result & Conclusion The virtualization layers of the cloud platform must be designed to ensure spatial isolation, temporal isolation, fault isolation, as well as management, predictability, security, and confidentiality. The platform scheduling mechanism includes both time-triggered and event-driven approaches, each impacting the platform temporal constraints differently. The hierarchical scheduling of the cloud platform involves four resource-sharing protocols, which must be selected based on different tasks.

Each year more than 3000 Canadians are diagnosed with brain cancers like glioblastoma multiforme or recurrent head and neck cancers, which are difficult to treat with conventional radiotherapy techniques. One of the most clinically promising treatments for these cancers is boron neutron capture therapy (BNCT). This procedure involves selectively introducing a boron delivery agent into tumor cells and irradiating them with a neutron beam, which kills the cancer cells due to the high-linear energy transfer radiation produced by the [sup.10](n,[alpha])[sup.7]Li capture reaction. The theory of BNCT has been around for a long time since 1936, but has historically been limited by poor boron delivery agents and non-optimal neutron source facilities. Although significant improvements have been made in both of these domains, it is mainly the advancements of accelerator-based neutron sources that have led to the expansion of over 20 new BNCT facilities worldwide in the past decade. Additionally in this work, particle and heavy ion transport code system simulations, in collaboration with the University of Tsukuba, were performed to examine the effectiveness of the Ibaraki BNCT beam shaping assembly to moderate a neutron beam suitable for BNCT at the proposed prototype Canadian compact accelerator-based neutron source (CANS) site, which uses a similar but slightly higher energy 10 MeV proton accelerator with a 1 mA average current. The advancements of CANSs in recent decades have enabled significant improvements in BNCT technologies, allowing it to become a more viable clinical treatment option. Key words: accelerator-based neutron production, boron neutron capture therapy (BNCT), cancer therapy, cancer, compact accelerator neutron source (CANS), 1. Historical progression of boron neutron capture therapy Boron neutron capture therapy (BNCT) is a radiotherapy used to treat and eliminate cancer by inducing a localized nuclear reaction inside the [...]

Oral administration of resveratrol is able to ameliorate the progression of diabetic nephropathy (DN); however, its mechanisms of action remain unclear. Recent evidence suggested that the gut microbiota is involved in the metabolism therapeutics. In the current study, we sought to determine whether the anti-DN effects of resveratrol are mediated through modulation of the gut microbiota using the genetic db/db mouse model of DN. We demonstrate that resveratrol treatment of db/db mice relieves a series of clinical indicators of DN. We then show that resveratrol improves intestinal barrier function and ameliorates intestinal permeability and inflammation. The composition of the gut microbiome was significantly altered in db/db mice compared to control db/m mice. Dysbiosis in db/db mice characterized by low abundance levels of Bacteroides, Alistipes, Rikenella, Odoribacter, Parabacteroides, and Alloprevotella genera were reversed by resveratrol treatment, suggesting a potential role for the microbiome in DN progression. Furthermore, fecal microbiota transplantation, derived from healthy resveratrol-treated db/m mice, was sufficient to antagonize the renal dysfunction, rebalance the gut microbiome and improve intestinal permeability and inflammation in recipient db/db mice. These results indicate that resveratrol-mediated changes in the gut microbiome may play an important role in the mechanism of action of resveratrol, which provides supporting evidence for the gut-kidney axis in DN.

Objective To monitor the incidence of pulmonary infection after cardiac surgery by target monitoring for reducing the incidence of postoperative pulmonary infection. Methods Surgical targets monitoring was used to follow 425 patients undergoing cardiac surgery in a tertiary general hospital from January 2017 to December 2018. There were 25 cases of postoperative pulmonary infection, and the infection rate was 5.88%. From 2019 and 2020, the PDCA cycle mode was applied to compare the rate of pulmonary infection after cardiac surgery. Results In 2019, 11 cases in 265 patients with cardiac surgery had postoperative pulmonary infection, and the infection rate was 4.15%; In 2020, 6 cases in 200 patients with cardiac surgery had postoperative pulmonary infection, and the infection rate was 3%. Conclusions Through surgical target monitoring, it is found that the application of the PDCA cycle mode can jointly participate in the prevention and control of nosocomial infection with multiple disciplines, and continuously improve the quality. At the same time, it can effectively reduce the incidence of pulmonary infection after cardiac surgery, and greatly improve the life and quality of life of patients.

Human fat mass and obesity associated protein FTO is the first confirmed N6-methyladenosine(m6A) demethylase, which demonstrated the existence of reversible RNA modification, and also unveiled the prelude of m6A modification research. More and more researchers have tried to explore the specific mechanism of gene expression regulation at the level of m6A modification. It is found that m6A modification function requires the joint participation of methylesterase, demethylase, and binding protein to complete. FTO catalyze the demethylation of m6A modifications on mRNAs and is widely expressed in human tissues and participate in the regulation of various biological processes. This paper outlines the relationship between demethylase FTO and its mediated m6A/RNA modification and the development of body fat tissue, embryonic tissue, brain and neuro-system, hoping to gain insight into the function and mechanism of FTO.

Natal rearing experience of animals may affect their behaviors, such as habitat selection and oviposition decision. As part of the overall fitness of insect parasitoids, successful host discrimination (distinguishing parasitized hosts from unparasitized hosts) is of paramount importance. In this study we examined whether and how parasitoids' natal rearing experience would affect their host discrimination ability according to host availability. We established separate colonies of Aphidius gifuensis Ashmead by continual rearing on two hosts, Sitobion avenae F. and Myzus persicae (Suzler), and quantified self superparasitism and self superparasitism versus parasitism ratio for the four combinations of parasitoid colonies and host species (S. aveane and M. persicae) at four host densities (30, 50, 100 or 150 per plant). Results showed that self superparasitism of M. persicae by A. gifuensis reared on S. avenae was significantly higher than by those reared on M. persicae, no matter whether the host densities were 30, 50, 100 or 150. Aphidius gifuensis reared on M. persicae significantly superparasitized more S. avenae than those reared on S. aveane only when host density was 30. Self superparasitism versus parasitism ratio of A. gifuensis from both colonies was always lower on natal hosts than on new hosts, and the difference was more pronounced as the host density decreased. These results suggested that natal rearing effects is important on host discrimination and oviposition decision of the parasitoid A. gifuensis. These effects promoted the parasitoid's host adaptation and made them confer greater fitness.

Toxoplasma gondii is a widely spread opportunistic pathogen that can infect nearly all warm-blooded vertebrates and cause serious toxoplasmosis in immunosuppressed animals and patients. However, the relationship between the host's innate immune system and effector proteins is poorly understood, particularly with regard to how effectors antagonize cGAS-STING signaling during T. gondii infection. In this study, the ROP5 from the PRU strain of T. gondii was found to promote cGAS-STING-mediated immune responses. Mechanistically, ROP5 interacted with STING through predicted domain 2 and modulated cGAS-STING signaling in a predicted domain 3-dependent manner. Additionally, ROP5 strengthened cGAS-STING signaling by enhancing the K63-linked ubiquitination of STING. Consistently, ROP5 deficient PRU (PRUΔROP5) induced fewer type I IFN-related immune responses and replicated faster than the parental strain in RAW264.7 cells. Taken together, this study provides new insights into the mechanism by which ROP5 regulates T. gondii infection and provides new clues for strategies to prevent and control toxoplasmosis. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic poses severe risks for immunocompromised patients, especially those with neutropenia due to chemotherapy. This study evaluates the safety and effectiveness of remdesivir use in COVID-19 patients with neutropenia. Methods: This retrospective study used the Chang Gung Research Database (CGRD) and extracted data from 98,763 patients with COVID-19 diagnosed between April 2021 and September 2022. The patients were divided into groups based on their remdesivir use and the presence of neutropenia. The adverse effects of remdesivir and their outcomes were analyzed after propensity score matching. Results: We compared common adverse effects of remdesivir in neutropenic patients before and after a 5-day regimen. A slight decrease in heart rate was observed but lacked clinical significance. There were no significant differences observed in hemoglobin, liver function tests, and blood glucose levels. After propensity score matching of COVID-19 patients with neutropenia according to gender, age, dexamethasone use, oxygen use, MASCC score, and WHO ordinal scale, no significant differences were found in length of stay, intubation rate, or ICU admission rate between the matched patients. Conclusions: Our study found remdesivir to be safe for COVID-19 patients with neutropenia, with no common adverse reactions observed. However, its effectiveness for these patients remains uncertain. [ABSTRACT FROM AUTHOR]

Accurate hydrologic modeling is vital to characterizing how the terrestrial water cycle responds to climate change. Pure deep learning (DL) models have been shown to outperform process-based ones while remaining difficult to interpret. More recently, differentiable physics-informed machine learning models with a physical backbone can systematically integrate physical equations and DL, predicting untrained variables and processes with high performance. However, it is unclear if such models are competitive for global-scale applications with a simple backbone. Therefore, we use – for the first time at this scale – differentiable hydrologic models (full name δ HBV-globe1.0-hydroDL, shortened to δ HBV here) to simulate the rainfall–runoff processes for 3753 basins around the world. Moreover, we compare the δ HBV models to a purely data-driven long short-term memory (LSTM) model to examine their strengths and limitations. Both LSTM and the δ HBV models provide competitive daily hydrologic simulation capabilities in global basins, with median Kling–Gupta efficiency values close to or higher than 0.7 (and 0.78 with LSTM for a subset of 1675 basins with long-term discharge records), significantly outperforming traditional models. Moreover, regionalized differentiable models demonstrated stronger spatial generalization ability (median KGE 0.64) than a traditional parameter regionalization approach (median KGE 0.46) and even LSTM for ungauged region tests across continents. Nevertheless, relative to LSTM, the differentiable model was hampered by structural deficiencies for cold or polar regions, highly arid regions, and basins with significant human impacts. This study also sets the benchmark for hydrologic estimates around the world and builds a foundation for improving global hydrologic simulations. [ABSTRACT FROM AUTHOR]

In the original version of Figure 6P, the labels for AAV-EGFP and AAV-Cre were inverted. The correct figure part is below. The HTML and PDF files have been updated online. [...]

Formation mechanisms of dendrite structures have been extensively explored theoretically, and many theoretical predictions have been validated for micro- or macroscale dendrites. However, it is challenging to determine whether classical dendrite growth theories are applicable at the nanoscale due to the lack of detailed information on the nanodendrite growth dynamics. Here, we study iron oxide nanodendrite formation using liquid cell transmission electron microscopy (TEM). We observe "seaweed"-like iron oxide nanodendrites growing predominantly in two dimensions on the membrane of a liquid cell. By tracking the trajectories of their morphology development with high spatial and temporal resolution, it is possible to explore the relationship between the tip curvature and growth rate, tip splitting mechanisms, and the effects of precursor diffusion and depletion on the morphology evolution. We show that the growth of iron oxide nanodendrites is remarkably consistent with the existing theoretical predictions on dendritic morphology evolution during growth, despite occurring at the nanoscale.

Depressive symptoms are common in heart failure (HF) patients and they may exacerbate the progression of HF. Thus, identifying associations with depressive symptoms is essential to develop effective interventions to alleviate patients’ depressive symptoms. Therefore, this study aimed to explore the factors related to HF patients’ depressive symptoms.