Updated resources for exploring experimentally-determined PDB structures and Computed Structure Models at the RCSB Protein Data Bank.

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, RCSB.org), the US Worldwide Protein Data Bank (wwPDB, wwPDB.org) data center for the global PDB archive, provides access to the PDB data via its RCSB.

Interlaboratory comparison of standardised metabolomics and lipidomics analyses in human and rodent blood using the MxP Quant 500 kit.

Metabolomics and lipidomics are pivotal in understanding phenotypic variations beyond genomics. However, quantification and comparability of mass spectrometry (MS)-derived data are challenging. Standardised assays can enhance data comparability, enabling applications in multi-center epidemiological and clinical studies.

Associations of Mild Behavioral Impairment Domains with Brain Volumes: Cross-sectional Analysis of Atherosclerosis Risk in Community (ARIC) Study.

Background: Mild behavioral impairment (MBI) has been associated with global brain atrophy, but the regional neural correlates of MBI symptoms are less clear, particularly among community-dwelling older individuals without dementia.

Objective: Our objective was to examine the associations of MBI domains with gray matter (GM) volumes in a large population-based sample of older adults without dementia.

Methods: We performed a cross-sectional study of 1445 community-dwelling older adults in the Atherosclerosis Risk in Communities Study who underwent detailed neurocognitive assessment and brain magnetic resonance imaging in 2011-2013.

Risk of Contrast-Induced Acute Kidney Injury in Computed Tomography: A 16 Institutional Retrospective Cohort Study.

Objectives: Concern about contrast-induced acute kidney injury (CI-AKI) may delay the timely administration of contrast media for computed tomography (CT). The precise causative effect of iodinated contrast media on CI-AKI and its relevant risk factors remains an area of ongoing investigation. Therefore, this study aimed to determine the risk of CI-AKI following contrast-enhanced CT and its predisposing risk factors.

Nanoparticle-Mediated Delivery of Deferasirox: A Promising Strategy Against Invasive Aspergillosis.

Background: Invasive aspergillosis (IA) is a deadly fungal lung infection. Antifungal resistance and treatment side effects are major concerns. Iron chelators are vital for IA management, but systemic use can cause side effects.

Durable Antimicrobial Microstructure Surface (DAMS) Enabled by 3D-Printing and ZnO Nanoflowers.

Numerous studies have been trying to create nanomaterial-based antimicrobial surfaces to prevent infections due to bacterial growth. One major challenge in real-world applications of these surfaces is their mechanical durability. In this study, we introduce durable antimicrobial microstructure surface (DAMS), which integrates DLP 3D-printed microstructures with zinc oxide (ZnO) nanoflowers.

Differentiating Separate Primary Lung Adenocarcinomas From Intrapulmonary Metastases With Emphasis on Pathological and Molecular Considerations: Recommendations From the International Association for the Study of Lung Cancer Pathology Committee.

Introduction: With the implementation of low-dose computed tomography screening, multiple pulmonary tumor nodules are diagnosed with increasing frequency and the selection of surgical treatments versus systemic therapies has become challenging on a daily basis in clinical practice. In the presence of multiple carcinomas, especially adenocarcinomas, pathologically determined to be of pulmonary origin, the distinction between separate primary lung carcinomas (SPLCs) and intrapulmonary metastases (IPMs) is important for staging, management, and prognostication.

Methods: We systemically reviewed various means that aid in the differentiation between SPLCs and IPMs explored by histopathologic evaluation and molecular profiling, the latter includes DNA microsatellite analysis, array comparative genomic hybridization, TP53 and oncogenic driver mutation testing and, more recently, with promising effectiveness, next-generation sequencing comprising small- or large-scale multi-gene panels.

Global burden of disease attributable to metabolic risk factors in adolescents and young adults aged 15-39, 1990-2021.

Background: Metabolic risk factors are a significant cause of global burden among adolescents and young adults, but there is a lack of attention to the burden attributable to these metabolic risk factors globally.

Aims: This study aims to provide comprehensive estimates of five important metabolic risk factors and the attributable disease burden in people aged 15-39 years from 1990 to 2021, based on the Global Burden of Disease Study (GBD) database.

Methods: Global total deaths and disability-adjusted life years (DALYs) were used to describe the burden attributable to five common metabolic risk factors, including high fasting plasma glucose (FPG), high low-density lipoprotein cholesterol (LDL-C), high systolic blood pressure (SBP), high body mass index (BMI), and kidney dysfunction, in adolescents and young adults.

Airway, breathing, cellphone: a new vital sign?

Introduction: In emergency medicine, triage encompasses more than the initial prioritization of treatment; it also includes decisions about the most suitable level of care and disposition for each patient. However, the increasing use of mobile technology by patients in the emergency department (ED) introduces a new factor. This study aims to explore the relationship between patients' cellphone use at the time of initial assessment and final disposition in the ED.

Prothrombotic Antibodies Targeting the Spike Protein's Receptor-Binding Domain in Severe COVID-19.

Thromboembolic complication is common in severe coronavirus disease (COVID-19), leading to an investigation into the presence of prothrombotic antibodies akin to those found in heparin-induced thrombocytopenia (HIT). In a study of samples from 130 hospitalized patients collected 3.6 days after COVID-19 diagnosis, 80% had IgG antibodies recognizing complexes of heparin and platelet factor 4 (PF4/H), and 41% had antibodies inducing PF4-dependent P-selectin expression in CpG-treated normal platelets.

Search for Soft Unclustered Energy Patterns in Proton-Proton Collisions at 13 TeV.

The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.

A hybrid Bi-LSTM and RBM approach for advanced underwater object detection.

This research addresses the imperative need for efficient underwater exploration in the domain of deep-sea resource development, highlighting the importance of autonomous operations to mitigate the challenges posed by high-stress underwater environments. The proposed approach introduces a hybrid model for Underwater Object Detection (UOD), combining Bi-directional Long Short-Term Memory (Bi-LSTM) with a Restricted Boltzmann Machine (RBM). Bi-LSTM excels at capturing long-term dependencies and processing sequences bidirectionally to enhance comprehension of both past and future contexts.

LMPTMSite: A Platform for PTM Site Prediction in Proteins Leveraging Transformer-Based Protein Language Models.

Protein post-translational modifications (PTMs) introduce new functionalities and play a critical role in the regulation of protein functions. Characterizing these modifications, especially PTM sites, is essential for unraveling complex biological systems. However, traditional experimental approaches, such as mass spectrometry, are time-consuming and expensive.

State of Practice on Transcranial MR-Guided Focused Ultrasound: A Report from the ASNR Standards and Guidelines Committee and ACR Commission on Neuroradiology Workgroup.

Transcranial focused ultrasound (FUS) is a versatile, MR-guided, incisionless intervention with diagnostic and therapeutic applications for neurologic and psychiatric diseases. It is currently FDA-approved as a thermoablative treatment of essential tremor and Parkinson disease. However, other applications of FUS including BBB opening for diagnostic and therapeutic applications, sonodynamic therapy, histotripsy, and low-intensity focused ultrasound neuromodulation are all in clinical trials.

5-Year Results From the AMPLATZER Amulet Left Atrial Appendage Occluder Randomized Controlled Trial.

Background: The Amulet IDE trial (AMPLATZER Amulet Left Atrial Appendage Occluder [LAAO] Investigational Device Exemption [IDE] Trial) evaluated the safety and effectiveness of the Amulet occluder (Abbott) in patients with nonvalvular atrial fibrillation. The Amulet IDE trial is the largest randomized LAAO trial, comparing the Amulet occluder with the Watchman 2.5 device (Boston Scientific).

The association between exposure to a radio campaign on nutrition and mothers' nutrition- and health-related attitudes and minimal acceptable diet of children 6-36 months old: a quasi-experimental trial.

Objective: To evaluate the effectiveness of a radio campaign involving serial 10-minute drama episodes, 10-minute on air discussion of each episode by trained community health workers and 30-minute phone-ins from listeners in improving mothers' nutrition- and health-related attitudes (HNRAs) and children's minimum acceptable diet (MAD).

Design: A two-arm quasi-experimental trial with a pre-post design was used to quantify the effect of a radio campaign on nutrition before and immediately after the 6-month intervention. Difference-in-difference (DID) analysis was performed to assess the intervention's effect.

Accelerating Parkinson's Disease drug development with federated learning approaches.

Parkinson's Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to design, capture and interrogate substantial clinical datasets. Herein we advocate how advances in the deployment of artificial intelligence models for Federated Data Analysis and Federated Learning can help spearhead coordinated and sustainable approaches to address this grand challenge.