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Unlocking Chiral Sulfinimidoyl Electrophiles: Asymmetric Synthesis of Sulfinamides Catalyzed by Anionic Stereogenic-at-Cobalt(III) Complexes
Analyzing robust dividend payout policy with dynamic panel regression: Application of speed of adjustment to half-life
This study aims to observe the effects of financial metrics, free float shareholders, GDP growth and firm age on dividend payout policy in both the short- and long-term scenarios. The study introduces the dynamic panel regression models, i.e. Autoregressive Integrated Moving Average (ARIMA) for time series data and Weighted Least Squares (WLS) to account for autocorrelation and heteroscedasticity limitation. The dataset includes all companies listed on the Stock Exchange of Thailand during the years 2013–2023. The study finds that in the long-term, GDP growth negatively relates to dividend payout policy in all industrial sectors. Financial metrics, free float shareholders, GDP growth and firm age affect a mixed picture of industrial sectors on dividend payout policy. In the short-term, previous dividend payments significantly influence dividend payment policy. Furthermore, a higher debt-to-equity ratio, firm age, and free cashflows influence dividend payout policy in various industrial sectors. Also shown by the analysis is that factors influence short-run adjustment to half-life analysis.
Colloidal Germanium Quantum Dots with Broadly Tunable Size and Light Emission
The value co-creation mechanism of Public Cultural Services ecosystem in China based on "public value" theory
The establishment of China’s public cultural service system has been explored for nearly two decades, but there is still a significant gap in achieving the goal of equalising and eliminating differences in public value, and it is urgent to systematically explore the public value governance issues contained in it. This paper presents a localised theoretical analysis framework based on the strategic triangle model of public value, with the objective of exploring the endogenous mechanism of China’s public cultural services ecosystem (PCSE). Furthermore, it constructs a panel vector autoregression (PVAR) model from a dynamic endogenous perspective, employing the STATA 16.0 software package to conduct empirical tests. The empirical testing of the interactions between government attention (GA), cultural needs (CN) and public cultural services (PCS), as well as the regional heterogeneity, is based on data from 31 provinces and municipalities in mainland China for the period of 2008–2022. The findings are as follows: (1) The unified analysis framework reveals a significant positive mutual promotion relationship between GA and PCS. In contrast, the two-way promotion relationship between CN and PCS is weak, while the relationship between GA and PCS is unstable. (2) The results of the dynamic response analysis demonstrate significant regional disparities in the value co-creation path of public cultural services. The circular transfer of CN and PCS is more pronounced in the eastern region, while the central-western regions rely more on the circular transfer of GA and PCS. This study offers insights for central and local governments to reinforce the value co-creation foundation of a service-oriented government, explore a value co-creation pathway tailored to local conditions, and construct a contemporary public cultural services ecosystem guided by the value of common prosperity in spiritual life.
Author Correction: Increasing extreme hourly precipitation risk for New York City after Hurricane Ida
An Emerging Toolkit of Ho<sup>3+</sup> Sensitized Lanthanide Nanocrystals with NIR-II Excitation and Emission for <i>in Vivo</i> Bioimaging
MESS to live with schizophrenic parental history: A systematic review of developmental checkpoints
Parental history of schizophrenia, a complex and multifaceted psychological disorder, is recognized as a well-established risk factor in the development of the disorder among offspring. However, the developmental patterns of such children and adolescents before the onset of the problem have not yet been systematically documented. We present a comprehensive account of developmental checkpoints essential for preventing it from occurring. This review embarks on a detailed explanation of the domains requiring serious attention during the development of an individual with such a familial history. We examined a diversified set of studies comparing the developmental patterns of children with or without (a comparative) a parental history of schizophrenia and highlighted the areas of concern for the later development of the problem among the first group. We included the peer-reviewed articles, published in English based on children and adolescents, found in Web of Science, PubMed, and PsychInfo databases and separate citation searches. We summarized our findings under MESS typology covering motor development, emotional and behavioral issues, speech and hearing impairments, and socio-cognitive aspects as essential features of a child’s development serving as a guide to prevent the onset of psychological complications.
Erythrocyte modified controlling nutritional status as a biomarker for predicting poor prognosis in post-surgery breast cancer patients
Precise Preparation of Size-Uniform Two-Dimensional Platelet Micelles Through Crystallization-Assisted Rapid Microphase Separation Using All-Bottlebrush-Type Block Copolymers with Crystalline Side Chains
Identification of novel cyclin-dependent kinase 4/6 inhibitors from marine natural products
Cyclin-dependent kinases 4 and 6 (CDK4/6) are crucial regulators of cell cycle progression and represent important therapeutic targets in breast cancer. This study employs a comprehensive computational approach to identify novel CDK4/6 inhibitors from marine natural products. We utilized structure-based virtual screening of the CMNPD database and MNP library, followed by rigorous filtering based on drug-likeness criteria, PAINS filter, ADME properties, and toxicity profiles. From an initial hit of 9,497 compounds, 2,344 passed drug-likeness and PAINS filters. Further ADME filtering yielded 50 compounds, of which 25 exhibited non-toxic profiles. These 25 candidates underwent consensus molecular docking using seven distinct algorithms: AutoDockTools 4.2, idock, LeDock, Qvina 2, Smina, AutoDock Vina 1.2.0, PLANTS, and rDock. Based on these results, six top-scoring compounds were selected for comprehensive 500 nanosecond all-atom molecular dynamics simulations to evaluate their structural stability and interactions with CDK4/6. Our analysis revealed that compounds CMNPD11585 and CMNPD2744 demonstrated superior stability in their interactions with CDK4/6, exhibiting lower RMSD and RMSF values, more favorable binding free energies, and persistent hydrogen bonding patterns. These compounds also showed lower Solvent Accessible Surface Area values, indicating better compatibility with the CDK4/6 active site. Subsequent in-vitro studies using MTT assays on MCF-7 breast cancer cells confirmed the cytotoxic effects of these compounds, with CMNPD11585 showing the highest potency, followed by CMNPD2744.
Bioinformatic analysis of ferroptosis related biomarkers and potential therapeutic targets in vitiligo
An Automated Workflow to Discover the Structure–Stability Relations for Radiation Hard Molecular Semiconductors
State of the art modelling for the Black Sea ecosystem to support European policies
The Black Sea is affected by numerous anthropogenic pressures, such as eutrophication and pollution through coastal and river discharges, fisheries overexploitation, species invasions, and the impacts of climate change. Growing concerns regarding the cumulative effects of these pressures have necessitated the need for an ecosystem approach to assessing the state of this basin. In recent years, the European Commission-JRC has developed a scientific and modelling tool, the Blue2 Modelling Framework with the aim of exploring the consequences of EU management and policy options on marine ecosystems. This framework has been designed to provide information on specific ecological indicators set out in EU legislation. Here, we present the Blue2 framework for the Black Sea ecosystem. The model represented the mid-1990s’ conditions in the Black Sea ecosystem including trophic levels from primary producers to marine mammals and sea birds. The model simulations covered a period from 1995–2021. The results showed that gulls & cormorant seabirds, sprat, horse mackerel and mugilidae had structuring role in the food web. Fishing fleets had indirect negative impacts on marine mammals in addition to commercially exploited species. Analysis of the ecosystem indicators confirmed the overall temporal degradation of the Black Sea when comparing results with other Black Sea models, whilst the comparison with the Mediterranean Sea allowed us to identify comparable indicators between similar model structures. The spatial/temporal model successfully simulated the overall ongoing declining dynamics of the Black Sea ecosystem as the biomasses of the majority of the functional groups had significant observed decreasing trends during the simulation period. This model is the first attempt to represent the historical and current state of the Black Sea ecosystem spatially and temporally, serving as a reference baseline for evaluating policy scenarios and assisting policy makers in the evaluation of potential environmental impacts of management options.
Behavior modeling for a new flexure-based mechanism by Hunger Game Search and physics-guided artificial neural network
Rapid Crystallization and Versatile Metalation of Acetylhydrazone-Linked Covalent Organic Frameworks for Heterogenous Catalysis
Maternal characteristics and their relation to early mother-child interaction and cognitive development in toddlers
Early mother-infant interaction is believed to have a significant impact on the social, cognitive, and emotional development of children. These interactions are not only influenced by child and contextual factors but also by the mother’s personality traits and strain. In this study, we investigated the relation between maternal factors such as personality, depressive symptoms, or experiencing of emotions, and (i) children’s early cognitive development and (ii) interaction patterns in a sample of 116 mother-child dyads (mean child age = 18.63 months ± 6.42). Maternal factors were assessed using standardized questionnaires and toddlers’ cognitive development was measured using the Bayley Scales of Infant and Toddler Development. Interaction patterns were evaluated using the CARE-Index. The study found that children of mothers who scored higher in agreeableness, a personality trait reflecting compassion and cooperation, performed better in cognitive assessments. Additionally, mothers who placed significant importance on their bodily signals to assess their overall well-being had higher scores in the quality of interaction with their child. Statistical trends suggested that mothers with higher levels of conscientiousness, indicative of being organized and responsible, tended to be more responsive in the interaction with their infants, while those with higher levels of neuroticism, characterized by a tendency towards negative emotions, were more likely to have toddlers who inhibit their true negative affect. Finally, there was a trend indicating that maternal depression was associated with increased maternal controlling behavior towards toddlers. Overall, these findings show the intricate relation between maternal behavior and state with dyadic interaction quality. This should underline that optimal infant development is only possible if mothers are well supported especially if in need due to various burdens such as depressive symptoms.
Self-isolation of adolescents after Covid-19 pandemic between social withdrawal and Hikikomori risk in Italy
Abstract Social withdrawal is a widespread phenomenon among adolescents, presenting significant challenges in understanding its aetiology and dynamics. This study, drawing on data from two cross-sectional surveys conducted in 2019 and 2022 on students in public upper secondary schools, investigates the trend of self-isolation among Italian adolescents before and after the COVID-19 pandemic. The two nationally representative samples comprise 3273 and 4288 participants, respectively, with 46.3% and 41.2% identifying as female, ranging in age from 14 to 19 years. Using Multiple Correspondence Analysis (MCA) and Hierarchical Cluster Analysis (HCA), three distinct profiles of social withdrawal were identified among adolescents: “Social Butterflies”, “Friendship-Centric”, and “Lone Wolves”. Notably, the discovery of a subgroup within the Lone Wolves, composed of adolescents who never meet their friends and whose number has doubled post-pandemic, highlights the chronic nature of the phenomenon that demands urgent intervention. These findings shed light on the increase of self-isolation in Italy, showing the interplay of socio-demographic, psychological, and sociological factors underlying this phenomenon.
Tuning Bro̷nsted Acidity by up to 12 p<i>K</i><sub>a</sub> Units in a Redox-Active Nanopore Lined with Multifunctional Metal Sites
Binaural speech intelligibility for combinations of noise, reverberation, and hearing-aid signal processing
Binaural speech intelligibility in rooms is a complex process that is affected by many factors including room acoustics, hearing loss, and hearing aid (HA) signal processing. Intelligibility is evaluated in this paper for a simulated room combined with a simulated hearing aid. The test conditions comprise three spatial configurations of the speech and noise sources, simulated anechoic and concert hall acoustics, three amounts of multitalker babble interference, the hearing status of the listeners, and three degrees of simulated HA processing provided to compensate for the noise and/or hearing loss. The impact of these factors and their interactions is considered for normal-hearing (NH) and hearing-impaired (HI) listeners for sentence stimuli. Both listener groups showed a significant reduction in intelligibility as the signal-to-noise ratio (SNR) decreased, and showed a reduction in intelligibility in reverberation when compared to anechoic listening. There was no significant improvement in intelligibility for the NH group for the noise suppression algorithm used here, and no significant improvement in intelligibility for the HI group for more advanced HA processing algorithms as opposed to linear amplification in either of the two acoustic spaces or at any of the three SNRs.