Decoding the Molecular Basis of the Specificity of an Anti-sTn Antibody.

The mucin -glycan sialyl Tn antigen (sTn, Neu5Acα2-6GalNAcα1--Ser/Thr) is an antigen associated with different types of cancers, often linked with a higher risk of metastasis and poor prognosis. Despite efforts to develop anti-sTn antibodies with high specificity for diagnostics and immunotherapy, challenges in eliciting high-affinity antibodies for glycan structures have limited their effectiveness, leading to low titers and short protection durations. Experimental structural insights into anti-sTn antibody specificity are lacking, hindering their optimization for cancer cell recognition.

Global trends in incidence, death, burden and risk factors of early-onset cancer from 1990 to 2019.

Objective: This study aimed to explore the global burden of early-onset cancer based on the Global Burden of Disease (GBD) 2019 study for 29 cancers worldwid.

Methods And Analysis: Incidence, deaths, disability-adjusted life years (DALYs) and risk factors for 29 early-onset cancer groups were obtained from GBD.

Results: Global incidence of early-onset cancer increased by 79.

Randomizing the human genome by engineering recombination between repeat elements.

We lack tools to edit DNA sequences at scales necessary to study 99% of the human genome that is noncoding. To address this gap, we applied CRISPR prime editing to insert recombination handles into repetitive sequences, up to 1697 per cell line, which enables generating large-scale deletions, inversions, translocations, and circular DNA. Recombinase induction produced more than 100 stochastic megabase-sized rearrangements in each cell.

Examining the physical and psychological effects of combining multimodal feedback with continuous control in prosthetic hands.

Myoelectric prosthetic hands are typically controlled to move between discrete positions and do not provide sensory feedback to the user. In this work, we present and evaluate a closed-loop, continuous myoelectric prosthetic hand controller, that can continuously control the position of multiple degrees of freedom of a prosthesis while rendering proprioceptive feedback to the user via a haptic feedback armband. Twenty-eight participants without and ten participants with upper limb difference (ULD) were recruited to holistically evaluate the physical and psychological effects of the controller via isolated control and sensory tasks, dexterity assessments, embodiment and task load questionnaires, and post-study interviews.

Measurement of Λ_{b}^{0}, Λ_{c}^{+}, and Λ Decay Parameters Using Λ_{b}^{0}→Λ_{c}^{+}h^{-} Decays.

A comprehensive study of the angular distributions in the bottom-baryon decays Λ_{b}^{0}→Λ_{c}^{+}h^{-}(h=π,K), followed by Λ_{c}^{+}→Λh^{+} with Λ→pπ^{-} or Λ_{c}^{+}→pK_{S}^{0} decays, is performed using a data sample of proton-proton collisions corresponding to an integrated luminosity of 9  fb^{-1} collected by the LHCb experiment at center-of-mass energies of 7, 8, and 13 TeV. The decay parameters and the associated charge-parity (CP) asymmetries are measured, with no significant CP violation observed. For the first time, the Λ_{b}^{0}→Λ_{c}^{+}h^{-} decay parameters are measured.

CMRxRecon2024: A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.

. The released CMRxRecon2024 dataset is currently the largest and most protocol-diverse publicly available k-space dataset including multi-modality and multi-view cardiac MRI data from 330 healthy volunteers, and each one covers standardized and commonly used clinical protocols. ©RSNA, 2025.

Measurement of multidifferential cross sections for dijet production in proton-proton collisions at .

A measurement of the dijet production cross section is reported based on proton-proton collision data collected in 2016 at by the CMS experiment at the CERN LHC, corresponding to an integrated luminosity of up to 36.3 . Jets are reconstructed with the anti- algorithm for distance parameters of and 0.

Brensocatib in patients with bronchiectasis: subgroup analyses from the WILLOW trial.

Introduction: Bronchiectasis is a chronic inflammatory airway disease. Brensocatib, an oral, reversible inhibitor of dipeptidyl peptidase 1 (DPP1), reduces pulmonary inflammation by preventing the activation of neutrophil serine proteases. In the phase II WILLOW trial, brensocatib prolonged time to first exacerbation in patients with bronchiectasis.

The multi-omics signatures of telomere length in childhood.

Background: Telomere length is an important indicator of biological age and a complex multi-factor trait. To date, the telomere interactome for comprehending the high-dimensional biological aspects linked to telomere regulation during childhood remains unexplored. Here we describe the multi-omics signatures associated with childhood telomere length.

Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.

Background: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.

Methods: In this single centre study, non-consecutive COPD patients were prospectively recruited for comparing their speech characteristics during and after an acute COPD exacerbation.

Patient and public involvement and engagement to improve impact on antimicrobial resistance.

A step change is required in citizen awareness of the global antimicrobial resistance (AMR) health crisis. But we must move beyond awareness-raising to action, directly engaging and involving patients and public in scoping, testing and scaling solutions to ensure their adoption and impact.

Application of Additive Manufacturing and Deep Learning in Exercise State Discrimination.

With the rapid development of sports technology, smart wearable devices play a crucial role in athletic training and health management. Sports fatigue is a key factor affecting athletic performance. Using smart wearable devices to detect the onset of fatigue can optimize training, prevent excessive fatigue and resultant injury, and increase efficiency and safety.

Assessment of Different Conventional and Biofortified Wheat Genotypes Based on Biology and Damage Pattern of and .

The lesser grain borer, (F.) (Coleoptera: Bostrichidae) and khapra beetle, E. (Coleoptera: Dermestidae) are primary stored-grain insect pests.

Differential Cytotoxicity and Inflammatory Responses to Particulate Matter Components in Airway Structural Cells.

Particulate matter (PM) is a major component of ambient air pollution. PM exposure is linked to numerous adverse health effects, including chronic lung diseases. Air quality guidelines designed to regulate levels of ambient PM are currently based on the mass concentration of different particle sizes, independent of their origin and chemical composition.

Exploring in Ischemic Stroke and Moyamoya Disease: From Cellular Models to Clinical Insights.

Advances in stroke genetics have highlighted the critical role of rare genetic variants in cerebrovascular diseases, with emerging as a key player in ischemic stroke and Moyamoya disease (MMD). Initially identified as the primary susceptibility gene for MMD, -notably the p.R4810K variant-has been strongly linked to intracranial artery stenosis (ICAS) and various ischemic stroke subtypes, particularly in East Asian populations.

Nuclear Intron Sequence Variation of the Complex (Mollusca: Planorbidae): Implications for Molecular Systematic Analyses.

Urinary schistosomiasis is caused by the blood fluke , which is predominantly found in Africa. The freshwater snail is its main intermediate host. The species that make up the group are genetically complex, and their taxonomic status remains controversial.

Sand and dust storms: a growing global health threat calls for international health studies to support policy action.

Sand and dust storms increasingly threaten global environmental and public health. To date, 150 countries are directly affected, with more than 100 classified as non-dust source regions. With climate change, these storms are expected to become more frequent and severe.

Developing a Label-Free Infrared Spectroscopic Analysis with Chemometrics and Computational Enhancement for Assessing Lupus Nephritis Activity.

Patterns of disease and therapeutic responses vary widely among patients with autoimmune glomerulonephritis. This study introduces groundbreaking personalized infrared (IR)-based diagnostics for real-time monitoring of disease status and treatment responses in lupus nephritis (LN). We have established a relative absorption difference (RAD) equation to assess characteristic spectral indices based on the temporal peak heights (PHs) of two characteristic serum absorption bands: ν as the target signal and ν as the PH reference for the ν absorption band, measured at each dehydration time (t) during dehydration.

Digital health technologies and self-efficacy in Parkinson's: a scoping review.

Objective: Prior research has identified that people with Parkinson's reporting lower levels of self-efficacy exhibit worsening motor and non-motor symptomology, reduced quality of life, and self-management. Our key objective was to conduct a scoping review examining the impact of digital health technologies on self-efficacy in people with Parkinson's.

Design: A scoping review using Arksey and O'Malley's (2005) framework was undertaken.

Significant Efficiency Enhancements in Non-Y Series Acceptors by the Addition of Outer Side Chains.

Most current highly efficient organic solar cells utilize small molecules like Y6 and its derivatives as electron acceptors in the photoactive layer. In this work, a small molecule acceptor, SC8-IT4F, is developed through outer side chain engineering on the terminal thiophene of a conjugated 6,12-dihydro-dithienoindeno[2,3-d:2',3'-d']-s-indaceno[1,2-b:5,6-b']dithiophene (IDTT) central core. Compared to the reference molecule C8-IT4F, which lacks outer side chains, SC8-IT4F displays notable differences in molecule geometry (as shown by simulations), thermal behavior, single-crystal packing, and film morphology.

Bacteria Flagella-Mimicking Polymer Multilayer Magnetic Microrobots.

Mass production of biomedical microrobots demands expensive and complex preparation techniques and versatile biocompatible materials. Learning from natural bacteria flagella, the study demonstrates a magnetic polymer multilayer cylindrical microrobot that bestows the controllable propulsion upon an external rotating magnetic field with uniform intensity. The magnetic microrobots are constructed by template-assisted layer-by-layer technique and subsequent functionalization of magnetic particles onto the large opening of the microrobots.

Vitronectin regulates lung tissue remodeling and emphysema in chronic obstructive pulmonary disease.

Vitronectin (VTN) is an important extracellular matrix protein in tissue remodeling, but its role in COPD is unknown. We show that VTN regulates tissue remodeling through urokinase plasminogen activator (uPA) signaling pathway in COPD. In human COPD airways and bronchoepithelial cells and the airways of mice with cigarette smoke (CS)-induced experimental COPD, VTN protein was not changed, but downstream uPA signaling was altered (increased plasminogen activator inhibitor-1, uPAR) that induced collagen and airway remodeling.

Autonomous learning of generative models with chemical reaction network ensembles.

Can a micron-sized sack of interacting molecules autonomously learn an internal model of a complex and fluctuating environment? We draw insights from control theory, machine learning theory, chemical reaction network theory and statistical physics to develop a general architecture whereby a broad class of chemical systems can autonomously learn complex distributions. Our construction takes the form of a chemical implementation of machine learning's optimization workhorse: gradient descent on the relative entropy cost function, which we demonstrate can be viewed as a form of integral feedback control. We show how this method can be applied to optimize any detailed balanced chemical reaction network and that the construction is capable of using hidden units to learn complex distributions.