Search Results (1,367)

The absence of parental presence has a direct impact on the emotional stability and social routines of children, especially during extended periods of separation from their family environment, as in the case of daycare centers, hospitals, or when they remain alone at home. At the same time, the technology currently available to provide emotional support in these contexts remains limited. In response to the growing need for emotional support and companionship in child care, this project proposes the development of a multi-platform software architecture based on artificial intelligence (AI), designed to be integrated into humanoid robots that assist children between the ages of 6 and 14. The system enables daily verbal and non-verbal interactions intended to foster a sense of presence and personalized connection through conversations, games, and empathetic gestures. Built on the Robot Operating System (ROS), the software incorporates modular components for voice command processing, real-time facial expression generation, and joint movement control. These modules allow the robot to hold natural conversations, display dynamic facial expressions on its LCD (Liquid Crystal Display) screen, and synchronize gestures with spoken responses. Additionally, a graphical interface enhances the coherence between dialogue and movement, thereby improving the quality of human–robot interaction. Initial evaluations conducted in controlled environments assessed the system’s fluency, responsiveness, and expressive behavior. Subsequently, it was implemented in a pediatric hospital in Guayaquil, Ecuador, where it accompanied children during their recovery. It was observed that this type of artificial intelligence-based software, can significantly enhance the experience of children, opening promising opportunities for its application in clinical, educational, recreational, and other child-centered settings. Full article

Plant heat shock proteins (Hsps) are from a diverse and ancient protein family, with small Hsps of ~20 kDa molecular weight classified as Hsp20s. As a key transcription factor in the jasmonic acid (JA) pathway, myelocytomatosis protein 2 (MYC2) plays a vital role in stamen development. In this study, we identified six genes with significantly altered expression levels using previous RNA-Seq data from PhMYC2a-overexpressing and methyl jasmonate (MeJA)-treated petunia. Interestingly, five of these are Hsp20 family members (PhHsp16.0A, PhHsp16.1, PhHsp16.8, PhHsp21.9, and PhHsp40.8). Yeast one-hybrid (Y1H) and dual-luciferase assays demonstrated that PhMYC2a directly binds their promoters, indicating a collective effect. Thus, a genome-wide analysis was conducted and a total of 38 genes encoding Hsp20s were identified in the reference genome of Petunia axillaris. Phylogenetic analysis revealed that 38 members of Hsp20s were irregularly distributed on 34 chromosome scaffolds and separated into 13 subfamilies, with only PaHsp16.0A and 16.1, among the five selected Hsp20s, being in the same Cytosol IV (CIV) subfamily. Conserved motif analysis suggested that the PaHsp20 gene family members may have a high degree of conservation. The promoter sequence analysis suggested that the promoter regions of PaHsp20 genes contained multiple light- and hormone-related cis-regulatory elements. Subsequently, spatiotemporal expression patterns, analyzed by qRT-PCR, showed that PhHsp16.0A and PhHsp16.1 had relatively high expression levels in flowers, with similar expression patterns at various stages of flower bud and anther development. Furthermore, virus-induced gene silencing (VIGS) of PhHsp16.0A and PhHsp16.1 resulted in significantly reduced pollen fertility, indicating their regulation in the process of flower development and echoing the role of PhMYC2a. This study highlights the pivotal role of Hsp20s in MYC2a-mediated regulatory mechanisms during petunia pollen development. Full article

Background: Multiple Myeloma (MM) is a malignant plasma cell dyscrasia that progresses through the consecutive asymptomatic, often undiagnosed, precancerous stages of Monoclonal Gammopathy of Undetermined Significance (MGUS) and Asymptomatic Multiple Myeloma (SMM). MM is characterized by low survival rates, severe complications and drug resistance; therefore, understanding the molecular mechanisms of progression is crucial. This study aims to detect genetic mutations, both germline and somatic, that contribute to disease progression and drive tumorigenesis at the final stage of MM, using samples from patients presenting MGUS or SMM, and newly diagnosed MM patients. Methods: Mutations were identified through a fully computational pipeline, implemented in a Linux and RStudio environment, applied to each patient sequence, obtained through single-cell RNA-sequencing (scRNA-seq), separately. Structural and functional mutation types were identified by stage, along with the affected genes. The analysis included quality control, removal of the Unique Molecular Identifiers (UMIs), trimming, genome mapping and result visualization. Results: The findings revealed frequent germline and somatic mutations, with distinct structural and functional patterns across disease stages. Mutations in key genes were identified, pointing to molecules that may play a central role in carcinogenesis and disease progression. Notable examples include the HLA-A, HLA-B and HLA-C genes, as well as the KIF, EP400 and KDM gene families, with the first four already confirmed. Comparative analysis between the stages highlighted molecular transition events from one stage to another. Emphasis was given to novel genes discovered in newly diagnosed MM patients, that might contribute to the tumorigenesis that takes place. Conclusions: This study contributes to the understanding of the genetic basis of plasma cell dyscrasias and the transition events between the stages, offering insights that could aid in early detection and diagnosis, guide the development of personalized therapeutic strategies, and improve the understanding of mechanisms responsible for resistance to existing therapies. Full article

Galectin-9 (Gal-9, LGALS9) is a member of the family of carbohydrate-binding lectins known as galectins. Galectins bind a diverse repertoire of galactose-bearing glycoprotein receptors expressed across multiple cell types. These interactions elicit a broad spectrum of pleiotropic effects important in both normal physiology and disease pathogenesis. Gal-9 contains two separate carbohydrate recognition domains with overlapping yet also divergent binding affinities for distinct glycostructures. This tandem repeat motif enables fine-tuning of its various biological functions. Additional control of Gal-9 activity is provided via multiple gene variants, protein isoforms, tissue distribution, and cell type-associated glycoprotein binding profiles. Within the tumor microenvironment, Gal-9 interacts with immune, non-immune, and cancer cells to influence malignant progression. Its binding of the premier immune checkpoint glycoreceptors, T-cell immunoglobulin and mucin-domain-containing-3 (TIM-3) and programmed cell death protein 1 (PD-1), places Gal-9 apart as a burgeoning target for immunotherapy. In this review, we delve into important aspects of Gal-9 immunobiology in tumorigenesis, including glycobiological and lineage-dependent functions. We further examine Gal-9 as a promising new glyco-immune checkpoint target for cancer therapy. Full article

Background/Objectives: Depression and anxiety in children pose a significant public health concern, with long-term implications for well-being. Over 10% of children and adolescents are affected by emotional disorders such as depression and anxiety. African American youth face disproportionate exposure to mental health risk factors, including poverty, adverse childhood events, community violence, and racial discrimination, which elevate their vulnerability to these disorders. A particularly at-risk subgroup includes African American children in kinship care arrangements (e.g., grandparents raising grandchildren), who may face additional factors such as family disruption and separation from birth parents. Methods: This mixed-methods sequential study examined how caregiver stress and birth mother–child relationship quality relate to depression and anxiety symptoms in African American children in kinship care. Phase I included survey data from 58 caregivers of children aged 5 to 12; Phase II involved interviews with 16 of these caregivers. Results: Results indicated that lower caregiver stress was associated with reduced child depression and anxiety symptoms. Furthermore, findings suggest that a high quality of the birth mother–child relationship serves as a promotive factor, particularly for depressive symptoms. Qualitative findings highlighted two themes: (1) the weight of kinship care, marked by factors such as ongoing grief and financial strain; and (2) birth parent relationships, defined by a mix of connection, conflict, and loss that affects children’s mental health. Conclusions: These findings underscore the need for greater understanding of the strengths and resources within kinship families that support positive mental health outcomes and highlight the importance of targeted interventions to reduce caregiver stress and foster supportive parent–child relationships. Full article

Over recent decades, China has experienced considerable economic and cultural change, as economic growth has led to increased materialism and individualism. Among young women and men, the traditional obligations of filial piety include becoming married, having children, and continuing the family lineage. Using recent survey data (2015 through 2024) drawn from young Chinese adults, this study examines the changes in marriage and childbearing aspirations. The results show a clear decline in marriage aspirations among both sexes, and a strong decline in the childbearing aspirations of young women. Multivariate analyses reveal that more individualistic desires (e.g., wishing to cohabit, having sex) yield substantial associations with marriage and childbearing aspirations. There also appears to be a strong tendency for both young women and men to draw a clear separation between becoming married and having children, which is quite contrary to traditional cultural norms. The findings and implications thereof are discussed within the developmental paradigm. Full article

This study examines differences in perceived parental emotional availability, emotion regulation (ER), and health-related quality of life (HRQoL) among adolescents, considering gender, age, and family structure. It also assesses contextual differences in ER (at home vs. at school) and investigates the mediating role of ER in the relationship between perceived parental emotional availability and HRQoL. The sample consisted of 202 Portuguese adolescents (M age = 13.44 years, SD = 1.01; 52.5% girls) who participated in this cross-sectional study. Self-report scales were used to assess perceived emotional availability, ER, and HRQoL, with data collected during classes using a paper-and-pencil procedure. The results showed that girls’ perceptions of mother and father emotional availability were smaller than perceptions reported by boys; girls reported lower HRQoL. Also, adolescents from divorced/separated families reported higher levels of expressive suppression at home and lower HRQoL. Both maternal and paternal perceived emotional availability were positively associated with better HRQoL in adolescents. Furthermore, expressive suppression (within the home context) and cognitive reappraisal (within the school context) partially explained these associations. These findings have important implications for both practice and research, highlighting the significance of perceived parental emotional availability and the role of ER in enhancing adolescents’ HRQoL. Full article

Background/Objectives: Bronchopulmonary dysplasia (BPD) is a chronic lung disease affecting preterm infants, often resulting in prolonged neonatal intensive care unit (NICU) stays and significant parental stress. The experiences of parents navigating their preterm infant’s early NICU journey are important to support clinical trials to improve infant outcomes. Aim: The aim of this study was to explore parental perceptions of their infant’s health progression during the first 10 days of life through personal diary entries and their correlation with the echo scans assessments, as part of the Exploring Right vEntricular function applicability in a Prediction mOdel to identify pReterm infanTs with early BronchoPulmonary Dysplasia (REPORT-BPD) feasibility study. Methods: An embedded qualitative design was employed, utilising thematic analysis of 17 parent diaries. Parents of preterm infants (<32 weeks of gestation) admitted to a NICU documented their daily experiences. Thematic analysis was applied to ensure a rigorous, inductive examination of emerging themes. Findings: Four main themes were identified: (1) developing parent–infant relationships, highlighting the emotional impact of separation and the significance of bonding; (2) health and well-being of premature infants and family, reflecting parental vigilance, cautious optimism, and emotional distress; (3) parents navigating support and the NICU environment, describing challenges related to medical procedures, communication with staff, and adapting to a highly technical setting; and (4) emotions and protective gestures, illustrating parental resilience, coping mechanisms, and the innate drive to protect their child. Conclusions: Parental experiences in the NICU were shaped by emotional turmoil, uncertainty, and the need for support in navigating their infant’s care. Diaries provided an effective means for parents to express their experiences; they could serve as a communication tool in clinical trials to provide a deeper understanding of the development of the recruited preterm infants. Full article

Bacteriophages of the order Crassvirales are highly abundant and near-universal members of the human gut microbiome worldwide. Zeta crAss-like phages comprise a separate group in the order Crassvirales, and their genomes exhibit greater variability than genomes of crAss-like phages from other families within the order. Zeta crAss-like phages employ multiple adaptation mechanisms, ensuring their survival despite host defenses and environmental pressure. Some Zeta crAss-like phages use alternative genetic coding and exploit diversity-generating retroelements (DGRs). These features suggest complex evolutionary relationships with their bacterial hosts, sustaining parasitic coexistence. Mutations in tail fiber proteins introduced by DGR can contribute to their adaptation to changes in the host cell surface and even expand the range of their hosts. In addition, the exchange of DNA polymerases via recombination makes it possible to overcome the bacterial anti-phage protection directed at these enzymes. Zeta crAss-like phages continuously adapt due to genetic diversification, host interaction tweaks, and counter-defense innovations, driving an evolutionary arms race with hosts. Based on the genome characteristics of the Zeta crAss-like phages, we propose to separate them into the Echekviridae family (“эчәк”—“intestines” in Tatar) following the tradition of using the word “intestines” in different languages, suggested previously. Full article

Adults of Rhadinorhynchus niloticus, a member of the Rhadinorhynchidae family, were isolated from the intestines of wild Nile perch (Lates niloticus (Linnaeus, 1758); Perciformes: Latidae) caught from the River Nile and its tributaries in Assiut City, Egypt. The parasite was found freely in the intestinal lumen with a prevalence of 10.71%, and the burden varied from one to five parasites per fish. The mean intensity and abundance were 2.16 ± 0.47 (95% CI: 1.33 to 3.17) and 0.23 ± 0.08 (95% CI: 0.11 to 0.43), respectively. The parasite was described using light and scanning electron microscopy. Molecular species identification as well as phylogenetic relationship analysis of the isolated parasite were achieved by sequencing and comparisons of the mitochondrial cytochrome oxidase C subunit I (COI) and nuclear 18S rRNA genes. The sequences were deposited in GenBank under the accession numbers PP859185 and MZ727194. Furthermore, phylogenetic analysis demonstrated that the parasites emerged from a separate branch belonging to the Rhadinorhynchidae family, which was clearly distinguished from other genospecies. Full article

Quantum state discrimination (QSD) is a fundamental task in quantum information processing, improving the computation efficiency and communication security. Non-Hermitian (NH) PT-symmetric systems were found to be able to discriminate two quantum states better than the Hermitian strategy. In this work, we propose a QSD approach based on P-pseudo-Hermitian systems with real spectra. We theoretically prove the feasibility of realizing QSD in the real-spectrum phase of a P-pseudo-Hermitian system, i.e., two arbitrary non-orthogonal quantum states can be discriminated by a suitable P-pseudo-Hermitian Hamiltonian. In detail, we decide the minimal angular separation between two non-orthogonal quantum states for a fixed P-pseudo-Hermitian Hamiltonian, and we find the orthogonal evolution time is able to approach zero under suitable conditions, while both the trace distance and the quantum relative entropy are employed to judge their orthogonality. We give a criterion to choose the parameters of a P-pseudo-Hermitian Hamiltonian that evolves the two initial orthogonal states faster than a fixed arbitrary PT-symmetric one with an identical energy difference. Our work expands the NH family for QSD, and can be used to explore real quantum systems in the future. Full article

The transition to clean and renewable energy sources is critically dependent on efficient hydrogen production technologies. This review surveys recent advances in photocatalytic water splitting, focusing on MNb₂O₆ nanomaterials, which have emerged as promising photocatalysts due to their tunable band structures, chemical robustness, and tailored morphologies. The objectives of this work are to (i) encompass the current synthesis strategies for MNb₂O₆ compounds; (ii) assess their structural, electronic, and optical properties in relation to photocatalytic performance; and (iii) elucidate the mechanisms underpinning enhanced hydrogen evolution. Main data collection methods include a literature review of experimental studies reporting bandgap measurements, structural analyses, and hydrogen production metrics for various MNb₂O₆ compositions—especially those incorporating transition metals such as Mn, Cu, Ni, and Co. Novelty stems from systematically detailing the relationships between synthesis routes (hydrothermal, solvothermal, electrospinning, etc.), crystallographic features, conductivity type, and bandgap tuning in these materials, as well as by benchmarking their performance against more conventional photocatalyst systems. Key findings indicate that MnNb₂O₆, CuNb₂O₆, and certain engineered heterostructures (e.g., with g-C₃N₄ or TiO₂) display significant visible-light-driven hydrogen evolution, achieving hydrogen production rates up to 146 mmol h⁻¹ g⁻¹ in composite systems. The review spotlights trends in heterojunction design, defect engineering, co-catalyst integration, and the extension of light absorption into the visible range, all contributing to improved charge separation and catalytic longevity. However, significant challenges remain in realizing the full potential of the broader MNb₂O₆ family, particularly regarding efficiency, scalability, and long-term stability. The insights synthesized here serve as a guide for future experimental investigations and materials design, advancing the deployment of MNb₂O₆-based photocatalysts for large-scale, sustainable hydrogen production. Full article

Substance use is a critical public health issue in the U.S., with Black communities, particularly those with criminal justice contact, disproportionately affected. Chronic exposure to stressors can lead to substance use as a coping strategy. This study used data from 1476 Black adults with criminal justice involvement from the National Survey of American Life to examine how psychosocial stress and sleep disturbances relate to lifetime substance use and to determine if there are any sex differences. Sex-separate generalized linear models for a Poisson distribution with a log-link function estimated prevalence ratios and adjusted prevalence ratios (APRs) for lifetime alcohol abuse, lifetime cigarette, and marijuana use. Independent variables include stressors (family, person, neighborhood, financial, and work-related) and sleep problems, with covariates such as age, SES, and marital status. Lifetime alcohol abuse was associated with family stressors (APR = 2.72) and sleep problems (APR = 3.36) for males, and financial stressors (APR = 2.75) and sleep problems (APR = 2.24) for females. Cigarette use was linked to family stressors (APR = 1.73) for males and work stressors (APR = 1.78) for females. Marijuana use was associated with family stressors (APR = 2.31) and sleep problems (APR = 2.07) for males, and neighborhood stressors (APR = 1.72) for females. Lifetime alcohol abuse, as well as lifetime cigarette and marijuana use, was uniquely associated with various psychosocial stressors among Black adult males and females with criminal justice contact. These findings highlight the role of structural inequities in shaping substance use and support using a Social Determinants of Health framework to address addiction in this population. Full article

Variable selection (VS) is a critical step in developing predictive binary classification (BC) models. Many traditional methods for assessing the added value of a candidate variable provide global performance summaries and lack an interpretable graphical summary of results. To address this limitation, we developed the U-smile method, a residual-based, post hoc evaluation approach for assessing prediction improvements and worsening separately for events and non-events. The U-smile method produces three families of interpretable BA-RB-I coefficients at three levels of generality and a standardized graphical summary through U-smile and prediction improvement–worsening (PIW) plots, enabling transparent, interpretable, and explainable VS. Validated in balanced and imbalanced BC scenarios, the method proved robust to class imbalance and collinearity, and more sensitive than traditional metrics in detecting subtle but meaningful effects. Moreover, the method’s intuitive visual output (U-smile plot) facilitates the rapid communication of results to non-technical stakeholders, bridging the gap between data science and applied decision-making. The U-smile method supports both local and global evaluations and complements existing explainable machine learning (XML) and artificial intelligence (XAI) tools without overlapping in their functions. The U-smile method offers a transparency-enhancing and human-oriented approach for ethical and fair VS, making it highly suited for high-stakes domains, e.g., healthcare and public health. Full article

This study proposes a novel approach to constructing composite indicators, utilizing discriminant analysis to identify the determining factors for the diagnosis of multidimensional depression and to provide an index that represents the multidimensionality of this construct. By focusing solely on factors that significantly correlate with the diagnosis of multidimensional depression, this method provides a more precise and objective representation of the problem. The application of the method to the 2019 Brazilian Health Survey data demonstrated its effectiveness, resulting in a composite indicator that separates individuals who self-declare as having depression from individuals who self-declare as not having depression. The results highlight individuals who have a limiting chronic condition, high levels of education, less support from friends and family, perform unhealthy work, and are male. In contrast, individuals with the opposite characteristics are associated with a negative multidimensional depression diagnosis. The proposed composite indicator not only improves the measurement accuracy but also offers a new means of visualizing and understanding the multidimensional nature of depression diagnosis, providing valuable information for the formulation of targeted public health policies aimed at reducing the time for which people show symptoms of depression. Full article