Recommendations for Artificial Intelligence Application in Continued Process Verification.

This review paper explores the transformative impact of Artificial Intelligence (AI) on Continued Process Verification (CPV) in the biopharmaceutical industry. Originating from the CPV of the Future project, the study investigates the challenges and opportunities associated with integrating AI into CPV, focusing on real-time data analysis and proactive process adjustments. The paper highlights the importance of aligning AI solutions with regulatory standards and offers a set of comprehensive recommendations to bridge the gap between AI's potential and its practical, compliant, and safe application in pharmaceutical manufacturing.

Understanding Titan's Prebiotic Chemistry: Synthesizing Amino Acids Through Aminonitrile Alkaline Hydrolysis.

Titan is an ocean world with a plethora of organic material in its atmosphere and on its surface, making it an intriguing location in the search for habitable environments beyond Earth. Settled aerosols will mix with transient surface melts following cryovolcanic eruptions and impact events, driving hydrolysis reactions and prebiotic chemistry. Previous studies have shown that the hydrolysis of laboratory-synthesized Titan organics leads to the production of amino acids and other prebiotic molecules.

Family Care Partners and Paid Caregivers: National Estimates of Role-Sharing in Home Care.

Background And Objectives: We describe "role-sharing" in home care, defined as family care partners and paid caregivers assisting with the same task(s).

Research Design And Methods: We studied 440 participants in the 2015 National Health and Aging Trends Study (NHATS) receiving paid help with self-care, mobility, or medical care. We describe patterns in receiving paid help only, help from care partners only, and role-sharing.

Invertebrate herbivores influence seagrass wasting disease dynamics.

Although invertebrate herbivores commonly impact terrestrial plant diseases by facilitating transmission of plant pathogens and increasing host susceptibility to infection via wounding, less is known about the role of herbivores in marine plant disease dynamics. Importantly, transmission via herbivores may not be required in the ocean since saline ocean waters support pathogen survival and transmission. Through laboratory experiments with eelgrass (Zostera marina), we showed that isopods (Pentidotea wosnesenskii) and snails (Lacuna spp.

Lack of Premeditation Mediates the Relationship Between Adverse Childhood Experiences and Posttraumatic Stress Disorder in Individuals in Residential Treatment for Substance Use Disorder.

Adverse Childhood Events (ACEs) are associated with increased vulnerability for posttraumatic stress disorder (PTSD), but not everyone who experiences ACEs develops PTSD. Impulsivity has gained interest as a potential mediator between ACEs and PTSD, given that both PTSD and ACEs have been closely related to impulsivity. However, less is known about the relationship within the context of substance use disorder (SUD), a population highly vulnerable to co-occurring PTSD.

Optimizing EPR pulses for broadband excitation and refocusing.

In this paper, we numerically optimize broadband pulse shapes that maximize Hahn echo amplitudes. Pulses are parameterized as neural networks (NN), nonlinear amplitude limited Fourier series (FS), and discrete time series (DT). These are compared to an optimized choice of the conventional hyperbolic secant (HS) pulse shape.

Continental freshwater discharge influences sea surface salinity variability near world's megadeltas.

Sea surface salinity ([Formula: see text]) is a key parameter in the thermohaline circulation of global oceans. Near the megadeltas, inland streamflow through large catchments plays a crucial role in mediating salinity. While some regional studies have investigated how [Formula: see text] is impacted through water cycle and climate components, a global scale quantification of inland streamflow contribution on [Formula: see text] variability is lacking.

Immigrant Status and Social Ties: An Intersectional Analysis of Older Adults in the United States.

Diverse social ties are critical facilitators of well-being among older adults. Social ties might be especially important for aging immigrants who face multiple social and economic vulnerabilities over the life course. We investigated social ties (e.

A Method for Multimodal IVA Fusion Within a MISA Unified Model Reveals Markers of Age, Sex, Cognition, and Schizophrenia in Large Neuroimaging Studies.

With the increasing availability of large-scale multimodal neuroimaging datasets, it is necessary to develop data fusion methods which can extract cross-modal features. A general framework, multidataset independent subspace analysis (MISA), has been developed to encompass multiple blind source separation approaches and identify linked cross-modal sources in multiple datasets. In this work, we utilized the multimodal independent vector analysis (MMIVA) model in MISA to directly identify meaningful linked features across three neuroimaging modalities-structural magnetic resonance imaging (MRI), resting state functional MRI and diffusion MRI-in two large independent datasets, one comprising of control subjects and the other including patients with schizophrenia.

Efficacy and Safety of GLP-1 Receptor Agonists in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Metabolic dysfunction-associated steatotic liver disease (MASLD) poses a major global health challenge. glucagon-like peptide-1 receptor agonists (GLP-1RAs) have shown potential therapeutic benefits for MASLD patients, including improvements in liver function, inflammation, and fibrosis. This study aims to systematically review and meta-analyze randomized controlled trials (RCTs) to evaluate the efficacy and safety of GLP-1RAs in MASLD patients, focusing on hepatic outcomes, cardiovascular outcomes, anthropometric measurements, and mortality.

Morphology and Luminescence Properties of Transition Metal Doped Zinc Selenide Crystals.

Zinc selenide is an excellent matrix material to dope with rare-earth and transition metal to achieve mid-infrared luminescence to develop high power lasers. The luminescence, morphology and refractive index is significantly affected by the doping and defects generated due to size and valency of dopants, concentration, growth process and convection during the growth. The aim of the study is to investigate effect of point and line defects generated due to low doping of iron and chromium on the emission and morphology of the zinc selenide.

Mother-child closeness and adolescent structural neural networks: a prospective longitudinal study of low-income families.

Mother-child closeness, a mutually trusting and affectionate bond, is an important factor in shaping positive youth development. However, little is known about the neural pathways through which mother-child closeness is related to brain organization. Utilizing a longitudinal sample primarily from low-income families (N = 181; 76% African American youth and 54% female), this study investigated the associations between mother-child closeness at ages 9 and 15 years and structural connectivity organization (network integration, robustness, and segregation) at age 15 years.

GnRH-Gonadotropes Interactions Revealed by Pituitary Single-cell Transcriptomics in Zebrafish.

GnRH governs reproduction by regulating pituitary gonadotropins. Unlike most vertebrates, gnrh-/- zebrafish are fertile. To elucidate the role of the hypophysiotropic-Gnrh3 and other mechanisms regulating pituitary gonadotropes, we profiled the gene expression of all individual pituitary cells of wild-type and gnrh3-/- adult female zebrafish.

Association Between Social Determinants of Health, COVID-19 Stressors, and Mental Health Among New York Residents Early in the Pandemic.

Objective: The COVID-19 pandemic is a disaster event. Exposure to stressors during and after disaster events is associated with negative mental health symptoms. To inform targeted COVID-19 recovery efforts, data are needed to understand which stressors play a key role in this relationship.

Integrating Electroencephalography Source Localization and Residual Convolutional Neural Network for Advanced Stroke Rehabilitation.

Motor impairments caused by stroke significantly affect daily activities and reduce quality of life, highlighting the need for effective rehabilitation strategies. This study presents a novel approach to classifying motor tasks using EEG data from acute stroke patients, focusing on left-hand motor imagery, right-hand motor imagery, and rest states. By using advanced source localization techniques, such as Minimum Norm Estimation (MNE), dipole fitting, and beamforming, integrated with a customized Residual Convolutional Neural Network (ResNetCNN) architecture, we achieved superior spatial pattern recognition in EEG data.

Temporal trends in pediatric cancer mortality: rare cancers lag behind more common cancers.

Temporal trends demonstrate improved survival for many types of common pediatric cancer. Studies have not examined improvement in very rare pediatric cancers or compared these improvements to more common cancers. In this cohort study of the Surveillance, Epidemiology, and End Results (SEER) registry, we examined patients from 1975 to 2016 who were 0-19 years of age at the time of diagnosis.