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Background: Identification of prodromal indicators of autism in infancy has the potential to identify behaviors relevant to early autism screening.

Methods: We report on data from a prospective general population birth cohort with maternal reported measures at 9 and 12 months: the Survey of Well-Being of Young Children (SWYC; general developmental surveillance) and the First Year Inventory-Lite v3.1b (FYI-Lite; autism specific parent report research tool).

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Water quality management is a critical aspect of environmental sustainability, particularly in arid and semi-arid regions such as Iran where water scarcity is compounded by quality degradation. This study delves into the causal relationships influencing water quality, focusing on Total Dissolved Solids (TDS) as a primary indicator in the Karkheh River, southwest Iran. Utilizing a comprehensive dataset spanning 50 years (1968-2018), this research integrates Machine Learning (ML) techniques to examine correlations and infer causality among multiple parameters, including flow rate (Q), Sodium (Na), Magnesium (Mg), Calcium (Ca), Chloride (Cl), Sulfate (SO), Bicarbonates (HCO), and pH.

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Objectives: COVID-19, a public health emergency affecting the world in 2019, not only greatly promoted the development and application of vaccines but also effectively shortened the publishing time of scientific papers. In view of these facts, the current situation, status, problems and development trends of vaccine research and application were explored through bibliometric analysis of highly cited papers in the vaccine field within the time frame of 2014-2024, and the countries, institutions, authors, funding agencies and other relevant information that contributed most to vaccine research and application were summarised.

Design: Bibliometric analysis through data analysis and visual mapping.

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Characterizing childhood trauma in individuals based on patterns of intrinsic brain connectivity.

J Affect Disord

January 2025

The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou 510370, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China. Electronic address:

Childhood maltreatment represents a strong psychological stressor that may lead to the development of later psychopathology as well as a heightened risk of health and social problems. Despite a surge of interest in examining behavioral, neurocognitive, and brain connectivity profiles sculpted by such early adversity over the past decades, little is known about the neurobiological substrates underpinning childhood maltreatment. Here, we aim to detect the effects of childhood maltreatment on whole-brain resting-state functional connectivity (RSFC) in a cohort of healthy adults and to explore whether such RSFC profiles can be used to predict the severity of childhood trauma in subjects based on a data-driven connectome-based predictive modeling (CPM).

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It is still a challenge to use a fast and efficient method for preserving fresh-cut fruits from browning. To address this problem, we developed konjac glucomannan (KGM) incorporated with elderberry anthocyanins (EA) to form film-forming solution (KEA) combined with polyvinylpyrrolidone (PVP) solution to produce KEA/PVP fiber films by microfluidic blow spinning (MBS). The introduction of PVP and EA improved the spinnability and function properties of KGM-based fiber film, respectively.

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