Circular RNA circBNC2 inhibits tumorigenesis by modulating ferroptosis and acts as a nanotherapeutic target in prostate cancer.

Background: Metastasis is a leading cause of cancer-related death in castration-resistant prostate cancer (CRPC) patients. Circular RNAs (circRNAs) have emerged as key regulators of the metastasis of various cancers. However, the functional effects and regulatory mechanisms of circRNAs in metastatic CRPC (mCRPC) remain largely unknown.

Assessing the use of geospatial data for immunization program implementation and associated effects on coverage and equity in the Democratic Republic of Congo.

Background: The National Expanded Program on Immunization in the Democratic Republic of the Congo implemented a program in 9 Provinces to generate georeferenced immunization microplans to strengthen the planning and implementation of vaccination services. The intervention aimed to improve identification and immunization of zero-dose children and overall immunization coverage.

Methods: This study applies a mixed-methods design including survey tools, in-depth interviews and direct observation to document the uptake, use, and acceptance of the immunization microplans developed with geospatial data in two intervention provinces and one control province from February to June 2023.

BDH1 identified by transcriptome has a negative effect on lipid metabolism in mammary epithelial cells of dairy goats.

Background: The 3-hydroxybutyrate dehydrogenase 1 (BDH1) mainly participates in the regulation of milk fat synthesis and ketone body synthesis in mammary epithelial cells. In our previous study, BDH1 was identified as a key candidate gene regulating lipid metabolism in mammary glands of dairy goats by RNA-seq. This study aimed to investigate the effect of BDH1 on lipid metabolism in mammary epithelial cells of dairy goats (GMECs).

The cell colony development is connected with the accumulation of embryogenesis-related proteins and dynamic distribution of cell wall components in in vitro cultures of Fagopyrum tataricum and Fagopyrum esculentum.

Background: Due to the totipotency of plant cells, which allows them to reprogram from a differentiated to a dedifferentiated state, plants exhibit a remarkable regenerative capacity, including under in vitro culture conditions. When exposed to plant hormones, primarily auxins and cytokinins, explant cells cultured in vitro can undergo differentiation through callus formation. Protoplast culture serves as a valuable research model for studying these processes in detail.

[Development and validation of a clinical automatic diagnosis system based on diagnostic criteria for temporomandibular disorders].

Objective: To develop a clinical automated diagnostic system for temporomandibular disorders (TMD) based on the diagnostic criteria for TMD (DC/TMD) to assist dentists in making rapid and accurate clinical diagnosis of TMD.

Methods: Clinical and imaging data of 354 patients, who visited the Center for TMD & Orofacial Pain at Peking University Hospital of Stomatology from September 2023 to January 2024, were retrospectively collected. The study developed a clinical automated diagnostic system for TMD using the DC/TMD, built on the.

SOFCs integrated with SMES under dynamic power control using Chernobyl disaster optimizer.

The current study uses the Chernobyl disaster optimizer (CDO), a new metaheuristic optimizer, to identify the seven unknown parameters of solid oxide fuel cells (SOFCs). The procedures of the CDO is based on physical behavior of the elaborated radiations from the well-known Chernobyl disaster according to their mass, speed, frequency, and degree of ionization. The sum of square errors (SMSE) among the estimated and the real measured output voltage datasets of SOFCs is minimized employing the CDO.

Multi-terminal flexible DC grid circuit breaker withstands multi-lightning strike analysis.

Lightning represents the primary threat to power grids, with approximately 80% of natural occurrences being multi-lightning strikes, which have been extensively studied and confirmed to pose even more severe hazards. Hybrid DC circuit breakers (DCCBs) exhibit promising application prospects due to their superior interruption performance. During multi-lightning strikes, lightning intrusive waves pose a greater threat to the insulation of equipment such as hybrid DC fuses, fast mechanical switches, and insulated gate bipolar transistors.

Zinc absorption from maize-based meals enriched with edible house crickets: a randomized crossover stable-isotope study in Kenyan pre-school children.

Edible insects have been proposed as a novel and sustainable source of protein and other essential nutrients for human consumption but nutrient absorption efficiency is still uncertain. We investigated zinc absorption from house crickets (Acheta domesticus) in a single-center and single-blinded cross-over study with children aged 24-36 months old in Kenya from September-November 2021. For this, children were randomized to consume two different experimental meals labeled with stable isotopes of zinc (Zn) at two different days, separated by a wash-out period of one month.

A point-based cognitive impairment scoring system for Southeast Asian adults short title: Cognitive impairment scoring system.

Background: Cognitive impairment is a growing concern in Southeast Asian populations, where the burden of cerebrovascular disease (CeVD) is high. Currently, there is no point-based scoring system for identifying cognitive impairment in these populations.

Objective: To develop and validate a simple point-based Cognitive Impairment Scoring System (CISS) for identifying individuals with cognitive impairment no dementia (CIND) and concomitant CeVD in Southeast Asian populations.

Practice Advisory for Postoperative Pain Management of Cardiac Surgical Patients: A Report by Society of Cardiovascular Anesthesiologists.

Moderate to severe pain after cardiac surgery is relatively common, which increases the risk of postoperative cardiopulmonary complications and delays hospital discharge. Opioids have been useful agents for postoperative pain control after cardiac surgery, but are associated with serious adverse effects. As a result, multimodal analgesia has been adopted widely to decrease reliance on opioids for treating postoperative pain, reduce opioid-related adverse effects, and promote early recovery.

Occurrence of Chiorchis fabaceus (Trematoda: Cladorchiidae) in a wild Antillean manatee (Trichechus manatus manatus): New parasitological data for this imperilled sirenian.

Parasites impact wildlife populations and ecosystem health, thereby demanding regular monitoring. As part of the national conservation effort to preserve the free-ranging sirenians in Colombia, a parasitological survey was conducted between 2011 and 2023 on naturally deceased Antillean manatees (Trichechus manatus manatus). A total of 17 stranded carcasses were analysed for the occurrence of parasites.

Estimated Long-Term Dietary Exposure to Cadmium from Consumption of Spinach in the United States: A Probabilistic Assessment.

As part of the U.S. Food and Drug Administration's (FDA's) Closer to Zero initiative, a toxicological reference value (TRV) for oral dietary exposure to Cd was established.

A proposed screening strategy for evaluating the genotoxicity potential of botanicals and botanical extracts.

Botanicals have long been used to promote health and treat diseases, but the safety of many currently marketed botanicals has not been adequately evaluated. Given the chemical complexity of botanicals, which often contain numerous unknown constituents, and their widespread use, comprehensive toxicity assessments are needed. The Botanical Safety Consortium was established to address this challenge.

Pediatric Transplant and Cellular Therapy Consortium RESILIENT Conference on Pediatric Chronic Graft-versus-Host Disease Survivorship after Hematopoietic Cell Transplantation: Part II. Organ Dysfunction and Immune Reconstitution Considerations for children with chronic GVHD after Hematopoietic Cell Transplantation.

While highly morbid forms of chronic graft versus host disease (cGVHD) and severe late effects of allogeneic hematopoietic cell transplant (HCT) can impact children and adults alike, unique considerations arise in pediatric cases regarding diagnosis, monitoring, treatment, and likelihood of resolution. As children can present with atypical features of cGVHD, and with more significant disease due to inability to communicate symptoms, they may be at increased risk for highly morbid forms of cGVHD and incur greater subsequent late effects, which may be more pronounced in those with underlying chromosomal breakage syndromes, with higher prevalence in pediatric HCT recipients. The long-term effects of cGVHD and its therapies include impaired immune reconstitution, leading to increased risks of infection and secondary malignant neoplasms.

Association of Alcohol Use Disorder and Perioperative Complications and Adverse Events After Spinal Fusion Surgery During the In-hospital Period: An Analysis of the National Inpatient Sample (NIS) Database.

Objective: Alcohol use disorder carries major effects shown to limit social support, increase recovery times, and lead to a higher incidence of surgical complications. This retrospective cohort study investigated the influence of AUD on perioperative outcomes and adverse events after spinal fusions in the largest sample size to date and spanning 11 years.

Methods: Data for adult (>18 years old) patients who underwent a spinal fusion as their primary surgery were identified from the Nationwide Inpatient Sample (NIS) database for the years 2009-2020.

An ER Stress and Mitochondrial Apoptosis Co-inducer for Enhanced Cancer Immunotherapy.

Though immunogenic cell death (ICD) has garnered significant attention in the realm of anticancer therapies, effectively stimulating strong immune responses with adequate antigen presentation in deep-seated cancers remains challenging. Herein, to promote antigen presentation, an efficient dual-targeted photodynamic ICD inducer is developed. Due to the enhanced spin-orbit coupling and electron structure modulation, the Cy5-I-CF probe showcases exceptional reactive oxygen species (ROS) generation capacity within cancer cells.

A framework for ecologically and socially informed risk reduction before and after outbreaks of wildlife-borne zoonoses.

Despite increasing emphasis being placed on the inclusion of upstream ecological and social perspectives for zoonotic disease control, few guidelines exist for practitioners and decision makers to work with communities in identifying suitable, locally relevant interventions and integrating these into public health action plans. With an interdisciplinary group of Kenyan stakeholders, we designed and tested a comprehensive framework for the co-design, evaluation, and prioritisation of beneficiary-oriented, ecologically and socially informed interventions for preventing and controlling outbreaks of wildlife-borne zoonoses. Our approach used four globally important wildlife-borne pathogens-Rift Valley fever virus, Congo-Crimean haemorrhagic fever virus, and the causative agents of anthrax and rabies-enabling stakeholders to develop a shared understanding of complex transmission pathways, identify a broad array of measures targeting ecological, biological, and social processes governing outbreaks of these pathogens, and explore trade-offs for specific interventions.

BabyFM: Towards accurate 3D baby facial models using spectral decomposition and asymmetry swapping.

In this paper, we present the first publicly available 3D statistical facial shape model of babies, the Baby Face Model (BabyFM). Constructing a model of the facial geometry of babies entails specific challenges, such as occlusions, extreme and uncontrollable expressions, and data shortage. We address these challenges by proposing (1) a non-template dependent method that jointly estimates a 3D facial baby-specific template and the point-to-point correspondences; (2) a novel method to establish correspondences based on the spectral decomposition of the Laplace Beltrami Operator, which provides a more robust theoretical foundation than state-of-the-art methods; and (3) an asymmetry-swapping strategy to alleviate the shortage of large scale datasets by decoupling the identity-related and the asymmetry-related shape deformation fields.

Paediatric strategy forum for medicinal product development in diffuse midline gliomas in children and adolescents ACCELERATE in collaboration with the European Medicines Agency with participation of the Food and Drug Administration.

Fewer than 10 % of children with diffuse midline glioma (DMG) survive 2 years from diagnosis. Radiation therapy remains the cornerstone of treatment and there are no medicinal products with regulatory approval. Although the biology of DMG is better characterized, this has not yet translated into effective treatments.

Assessing cardiovascular disease risk and social determinants of health: A comparative analysis of five risk estimation instruments using data from the Eastern Caribbean Health Outcomes Research Network.

Background: Accurate assessment of cardiovascular disease (CVD) risk is crucial for effective prevention and resource allocation. However, few CVD risk estimation tools consider social determinants of health (SDoH), despite their known impact on CVD risk. We aimed to estimate 10-year CVD risk in the Eastern Caribbean Health Outcomes Research Network Cohort Study (ECS) across multiple risk estimation instruments and assess the association between SDoH and CVD risk.

Combating trade in illegal wood and forest products with machine learning.

Trade in wood and forest products spans the global supply chain. Illegal logging and associated trade in forest products present a persistent threat to vulnerable ecosystems and communities. Illegal timber trade has been linked to violations of tax and conservation laws, as well as broader transnational crimes.

A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution.

Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. However, traditional soil analysis methods often rely on statistical methods, which means they always rely on specific assumptions and are sensitive to outliers. Existing machine learning based methods convert features containing spatial information into one-dimensional vectors, resulting in the loss of some spatial features of the data.