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    Tail-event driven NETwork dependence in emerging markets

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    This paper employs the Tail Event NETwork (TENET) to identify financial markets with greater potential risk, and simultaneously investigate the interdependence between them. We find strong time-varying connectedness across 23 emerging markets during the main crisis episodes, including the most recent COVID-19 pandemic, using data from January 1995 to May 2021. The network analysis revealed that emerging European markets are top risk transmitters, whereas emerging Asian markets are top risk receivers. China showed disconnection from the network, reflecting its diversification potential for investors. Our findings offer several policy and regulatory implications

    Macrophages in the Glioblastoma Tumor Microenvironment

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    Preparation and characterization of mesoporous Lanthanum-doped bioactive glass nanoparticles

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    In this study, novel compositions of mesoporous Bioglass (BG) and Lanthanum-doped BG (La-BG) were prepared using the sol-gel method. Microstructure analysis of the produced composites was performed using XRD, FESEM, FTIR, TGA, and BET techniques. The XRD patterns of BG and La-BG show a good match with the combeite phase. The silicate and phosphate groups in the BG and La-BG lattice were detected in FTIR spectra. The BG particles were spherical, with a surface area of 11.54 m2/g, a pore volume of 0.02491cc/g, and a pore size of 31.35Å. With the addition of La, the BG structure revealed (i) increased crystallinity of diffraction peaks, (ii) the particles changed from a spherical to a petal-like shape with an expansion in surface area and pore volume, and (iii) increased thermal stability of the BG structure. In conclusion, BG\u27s physiochemical characteristics were greatly enhanced by adding La

    Identifying Racial and Socioeconomic Biases iNew Jersey Special Education Eligibility

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    Purpose: This study aimed to determine if eligibility for special education anrelated services (SERS) in New Jersey (NJ) is biased based on a child’s racicultural background or socioeconomic status (SES). Method: A Qualtrics survey was administered to NJ child study team personnincluding speech-language pathologists, school psychologists, learning disabilities teacher-consultants, and school social workers. Participants were presented with four hypothetical case studies, which differed only in racial/culturabackground or SES. Participants were asked to make SERS eligibility recom-mendations about each case study. Results: An aligned rank transform analysis of variance test found a significaneffect of race on SERS eligibility decisions, F(2, 272) = 2.391, p = .09Wilcoxon signed-ranks tests further yielded that Black children had significantly higher levels of SERS ineligibility at the high-SES (z = −2.648, p = .008) and mSES (z = −2.660, p = .008) levels compared to White children. When compariSES levels within race using Wilcoxon signed-ranks tests, White low-SES children had significantly higher levels of ineligibility for SERS compared to White highSES children (z = −2.008, p = .045). These results suggest that Black childrfrom high/mid SES are treated comparably to White children from low SES; thesgroups are more likely to be found ineligible for SERS compared to peers. Conclusions: Both race and SES play a role in SERS eligibility decisions in NStudents who are Black and/or from low-SES households are at risk for facinsignificant biases in schools that influence their educational placements. Supplemental Material: https://doi.org/10.23641/asha.22185820

    Synchronized electrochemical detection of hydroquinone and catechol in real water samples using a Co@SnO2-polyaniline composite

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    The conductive composite Co@SnO2-PANI was successfully synthesized using hydrothermal/oxidative synthesis. Using differential pulse voltammetry, a glassy carbon electrode modified with a CoSnO2-PANI (polyaniline)-based electrochemical biosensor has been created for the quick detection of two phenolics, hydroquinone (Hq) and catechol (Cat). Differential pulse voltammetry (DPV) measurements revealed two well-resolved, strong peaks for GCE@Co-SnO2-PANI, which corresponded to the oxidation of Hq and Cat at 275.87 mV and +373.76 mV, respectively. The oxidation peaks of Hq and Cat mixtures were defined and separated at a pH of 8.5. High conductivity and remarkable selectivity reproducibility was tested by electrochemical impedance spectroscopy, chronoamperometry, and cyclic voltammetry techniques in standard solution and real water samples. The proposed biosensor displayed a low detection limit of 4.94 nM (Hq) and 1.5786 nM (Cat), as well as a large linear range stretching from 2 × 10−2 M to 2 × 10−1 M. The real-sample testing showed a good recovery for the immediate detection of Hq (96.4% recovery) and Cat (98.8% recovery) using the investigated sensing apparatus. The synthesized biosensor was characterized by XRD, FTIR, energy dispersive spectroscopy and scanning electron microscopy

    Smart Polymeric Nanoparticles in Cancer Immunotherapy

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    Cancer develops with unexpected mutations and causes death in many patients. Among the different cancer treatment strategies, immunotherapy is promising with the benefits of high specificity and accuracy, as well as modulating immune responses. Nanomaterials can be used to formulate drug delivery carriers for targeted cancer therapy. Polymeric nanoparticles used in the clinic are biocompatible and have excellent stability. They have the potential to improve therapeutic effects while significantly reducing off-target toxicity. This review classifies smart drug delivery systems based on their components. Synthetic smart polymers used in the pharmaceutical industry, including enzyme-responsive, pH-responsive, and redox-responsive polymers, are discussed. Natural polymers derived from plants, animals, microbes, and marine organisms can also be used to construct stimuli-responsive delivery systems with excellent biocompatibility, low toxicity, and biodegradability. The applications of smart or stimuli-responsive polymers in cancer immunotherapies are discussed in this systemic review. We summarize different delivery strategies and mechanisms that can be used in cancer immunotherapy and give examples of each case

    Return and volatility connectedness between gold and energy markets: Evidence from the pre- and post-COVID vaccination phases

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    Using a two-step VAR asymmetric BEKK GARCH model, this research explores the asymmetric return and volatility connectedness between gold and several energy markets during three subperiods: pre-COVID, before vaccination, and after vaccination. Gold\u27s returns and volatility spillover are generally found to be time- and energy-dependent. In addition, the optimal weights, hedge ratios, and hedging effectiveness of energy commodity and gold pairs are calculated during the three subperiods. The results of optimal weights show that investors should increase their investment in energy commodities more than gold (energy commodities) during the after-vaccination period (the pre-vaccination period). Moreover, the hedging strategy would only be effective within the COVID-19 vaccination period, which could have implications for the strategic asset allocation of policy-makers and international investors. Finally, we examine the potential determinants of conditional correlations between gold and energy markets. VIX, EPU, and new confirmed cases are found to be the main predictors of correlations for most energy commodity–gold pairs during the examined period

    On the Frontline—A bibliometric Study on Sustainability, Development, Coronaviruses, and COVID-19

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    The COVID-19 pandemic has placed the world’s population in a state of unprecedented public health and global health vulnerability. Risks to public and global health have escalated due to COVID-19 contamination. This has raised the statistics of inequity and environmental concerns. A possible outlook entails reducing the pandemic consequences by prioritizing development, biodiversity, and adaptability, offering buffer solutions. It contains vital methods for studying, comprehending, and unraveling events—examining early responses to COVID-19, sustainability, and development, relating them with overall Coronaviruses reaction. This study maps out environmental, socioeconomic, and medical/technological issues using as statistical techniques multiple correspondence analysis and validated cluster analysis. The findings encourage rapid, long-term development policy involvement to address the pandemic. The resulting crises have highlighted the necessity for the revival of health justice policies anchored in distinctive public health ethical patterns in response to them. As a general rule, resilience and preparedness will be targeted at developing and vulnerable nations and are prone to include access to vaccines, public health care, and health investment. Our findings show the relevance of innovating on sustainable development routes and yardsticks. Sustainable global health requires crucial measures in prevention, preparation, and response. Long-term policy recommendations are needed to address pandemics and their interrelated crises and foster sustained growth and socioecological protection

    Grow First, Clean Up Later? Dropping Old Paradigms and Opening Up New Horizons of Sustainable Development

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    After almost two decades of continuous development in bio, circular, and green economy, it is time to assess the major achievements and challenges that private and public enterprises face today for further enhancing global sustainability concepts. To this end, the present thematic issue accommodates twenty articles on different topics related to circular economy development and green growth, proposing a contribution to the field of environmental economics and policy. The central feature of this Special Issue is the focus on the best practices and challenges in terms of green growth and eco-innovation in developing and transitioning structurally challenged areas. Hence, the study elaborates on the pathways of bio, circular, and green growth and eco-innovation in the context of countries with relatively low per capita income. By doing this, the collection shows that the empirically established environmental Kuznets curve—i.e., the inverted U-shaped income-environment nexus—can and must be critically questioned, at least in the contexts mentioned within the framework of our Special Issue. Hence, the geographic frontiers of environmental upgrading, carbon-saving bioeconomic development, and green growth are not limited to the economically advanced areas

    Engineering Ag43 Signal Peptides with Bacterial Display and Selection

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    Protein display, secretion, and export in prokaryotes are essential for utilizing microbial systems as engineered living materials, medicines, biocatalysts, and protein factories. To select for improved signal peptides for Escherichia coli protein display, we utilized error-prone polymerase chain reaction (epPCR) coupled with single-cell sorting and microplate titer to generate, select, and detect improved Ag43 signal peptides. Through just three rounds of mutagenesis and selection using green fluorescence from the 56 kDa sfGFP-beta-lactamase, we isolated clones that modestly increased surface display from 1.4- to 3-fold as detected by the microplate plate-reader and native SDS-PAGE assays. To establish that the functional protein was displayed extracellularly, we trypsinized the bacterial cells to release the surface displayed proteins for analysis. This workflow demonstrated a fast and high-throughput method leveraging epPCR and single-cell sorting to augment bacterial surface display rapidly that could be applied to other bacterial proteins

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