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This study investigates how brand capital affects stock market liquidity. We posit that brand capital improves the corporate information environment, enhances competitiveness, and increases firm visibility ultimately resulting in higher stock liquidity. Using a sample of Chinese listed firms, we find a positive relationship between brand capital and stock liquidity. Further analyses show that the effect of brand capital is more pronounced for firms with low media coverage and analyst following. Moreover, the effect of brand capital on stock liquidity is significant for non‐state‐owned enterprises. Our mechanism analyses also confirm that brand capital plays an informational role by effectively mitigating information asymmetry and adverse selection, leading to higher stock liquidity. Our study provides the first evidence of the nexus between brand capital and stock liquidity and extends the literature on the capital market implications of brand capital. [ABSTRACT FROM AUTHOR]

Background: Concrete, a fundamental construction material, stands as a significant consumer of virgin resources, including sand, gravel, crushed stone, and fresh water. It exerts an immense demand, accounting for approximately 1.6 billion metric tons of Portland and modified Portland cement annually. Moreover, addressing extreme conditions with exceptionally nonlinear behavior necessitates a laborious calibration procedure in structural analysis and design methodologies. These methods are also difficult to execute in practice. To reduce time and effort, ML might be a viable option. Material and Methods: A set of keywords are designed to perform the search PubMed search engine with filters to not search the studies below the year 2015. Furthermore, using PRISMA guidelines, studies were selected and after screening, a total of 42 studies were summarized. The PRISMA guidelines provide a structured framework to ensure transparency, accuracy, and completeness in reporting the methods and results of systematic reviews and meta-analyses. The ability to methodically and accurately connect disparate parts of the literature is often lacking in review research. Some of the trickiest parts of original research include knowledge mapping, co-citation, and co-occurrence. Using this data, we were able to determine which locations were most active in researching machine learning applications for concrete, where the most influential authors were in terms of both output and citations and which articles garnered the most citations overall. Conclusion: ML has become a viable prediction method for a wide variety of structural industrial applications, and hence it may serve as a potential successor for routinely used empirical model in the design of concrete structures. The non-ML structural engineering community may use this overview of ML methods, fundamental principles, access codes, ML libraries, and gathered datasets to construct their own ML models for useful uses. Structural engineering practitioners and researchers may benefit from this article's incorporation of concrete ML studies as well as structural engineering datasets. The construction industry stands to benefit from the use of machine learning in terms of cost savings, time savings, and labor intensity. The statistical and graphical representation of contributing authors and participants in this work might facilitate future collaborations and the sharing of novel ideas and approaches among researchers and industry professionals. The limitation of this systematic review is that it is only PubMed based which means it includes studies included in the PubMed database. [ABSTRACT FROM AUTHOR]

As antibiotic resistance is increasing daily, the desire to treat an infection without causing any harmful effects assumes increasing importance. Ozone gas is a reactive antioxidant. Its role in blood circulation and uplifting immunity is an ideal complement to achieving curative care treatments. Aside from treatments, the therapeutic and biological effects of ozone may have positive results by reducing tooth demineralization, its antimicrobial capabilities rely upon its ability to oxidize, which produces free radicals, and has immediate action on microbes. The usage of ozone in dentistry is recommended for a variety of purposes, which comprises carious lesion treatments, root canal disinfection, post-surgical treatment, tooth bleaching, periodontal problems, prosthodontics, and orthodontics. Ozone has the potential to be a promising alternative therapy in dentistry. However, well-designed research is needed to analyze ozone's utilization in the field of dentistry to determine its importance from a clinical perspective so that the general public can benefit from it. This systematic review aims to describe the technique in which ozone can be advantageous as well as the many ways of applications of ozone therapy in dentistry. [ABSTRACT FROM AUTHOR]

The effect of replacement of Portland cement using glass powder on fresh and mechanical properties of self-compacting concrete (SCC) was investigated in this study. A standard SCC mix design was used with substitution with either fly ash or glass powder of different fineness and replacement levels. Compressive strength, splitting tensile strength, and elastic modulus were measured at 7, 28, 90, 180, 365, and 545 days. Rheological testing found that SCC containing glass powder had consistently higher yield shear stress than the control despite testing being conducted at optimum slump flow levels. Replacement of Portland cement with glass powder was found to reduce strength performance in the shorter-term but longer-term strengths were comparable. Tensile strength and elastic modulus of SCC containing glass powder were consistent with design guidelines and can be reliably predicted from compressive strength as is typically used in structural design. [ABSTRACT FROM AUTHOR]

Given the significance of validating reliable tests for the early detection of autism spectrum disorder (ASD), this systematic review aims to summarize available evidence of neuroimaging and neurophysiological changes in high-risk infants to improve ASD early diagnosis. We included peer-reviewed, primary research in English published before May 21, 2021, involving the use of magnetic resonance imaging (MRI), electroencephalogram (EEG), or functional near-infrared spectroscopy (fNIRS) in children with high risk for ASD under 24 months of age. The main exclusion criteria includes diagnosis of a genetic disorder and gestation age of less the 36 weeks. Online research was performed on PubMed, Web of Science, PsycINFO, and CINAHL. Article selection was conducted by two reviewers to minimize bias. This research was funded by Massachusetts General Hospital Sundry funding. IRB approval was not submitted as it was deemed unnecessary. We included 75 primary research articles. Studies showed that high-risk infants had divergent developmental trajectories for fractional anisotropy and regional brain volumes, increased CSF volume, and global connectivity abnormalities on MRI, decreased sensitivity for familiar faces, atypical lateralization during facial and auditory processing, and different spectral powers across multiple band frequencies on EEG, and distinct developmental trajectories in functional connectivity and regional oxyhemoglobin concentrations in fNIRS. These findings in infants were found to be correlated with the core ASD symptoms and diagnosis at toddler age. Despite the lack of quantitative analysis of the research database, neuroimaging and electrophysiological biomarkers have promising value for the screening of ASD as early as infancy with high accuracy, which warrants further investigation. [ABSTRACT FROM AUTHOR]

The transport characteristics of waste glass powder incorporated self-compacting concrete (SCC) for a number of different durability indicators are reported in this paper. SCC mixes were cast at a water to binder ratio of 0.4 using glass powders with a mean particle size of 10, 20 and 40 µm and at cement replacement levels of 20, 30 and 40%. The oxygen permeability, electrical resistivity, porosity and chloride diffusivity were measured at different ages from 3 to 545 days of curing. The amount and particle size of the incorporated waste glass powder was found to influence the durability properties of SCC. The glass incorporated SCC mixes showed similar or better durability characteristics compared to general purpose (GP) and fly ash mixes at similar cement replacement level. A significant improvement in the transport properties of the glass SCC mixes was observed beyond 90 days. [ABSTRACT FROM AUTHOR]