Theoretical and Experimental Determination of Thermomechanical Properties of Epoxy-SiO2 Nanocomposites.

Improvements in the thermomechanical properties of epoxy upon inclusion of well-dispersed SiO2 nanoparticles have been demonstrated both experimentally and through molecular dynamics simulations. The SiO2 was represented by two different dispersion models: dispersed individual molecules and as spherical nanoparticles. The calculated thermodynamic and thermomechanical properties were consistent with experimental results. Radial distribution functions highlight the interactions of different parts of the polymer chains with the SiO2 between 3 and 5 nm into the epoxy, depending on the particle size. The findings from both models were verified against experimental results, such as the glass transition temperature and tensile elastic mechanical properties, and proved suitable for predicting thermomechanical and physicochemical properties of epoxy-SiO2 nanocomposites.

Phenylpropanoids from Solanum capsicoides and their anti-inflammatory activity.

Two new phenylpropanoids, 4-O-(1''-O-cis-caffeoyl)-ß-glucopyran osyl-1-allyl-3-methoxy-benzene (1), 4'-O-(1''-O-cis-caffeoyl)-ß-glucopyranosyl-hydroxymegastigm-4-en-3-one (2), together with nine known compounds were obtained from the leaves of Solanum capsicoides. Their structures were elucidated based on spectroscopic methods, and comparing spectral data with those in literature. Meanwhile, their anti-inflammatory activities were evaluated on (LPS)-induced RAW 246.7 cells, and 1, 9, and 10 showed better inhibitory effects with IC50 values of 17.19 ± 1.12, 18.15 ± 0.47, and 19.8 ± 0.95 µM, respectively.

A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction.

Globally, many studies on machine learning (ML)-based flood susceptibility modeling have been carried out in recent years. While majority of those models produce reasonably accurate flood predictions, the outcomes are subject to uncertainty since flood susceptibility models (FSMs) may produce varying spatial predictions. However, there have not been many attempts to address these uncertainties because identifying spatial agreement in flood projections is a complex process. This study presents a framework for reducing spatial disagreement among four standalone and hybridized ML-based FSMs: random forest (RF), k-nearest neighbor (KNN), multilayer perceptron (MLP), and hybridized genetic algorithm-gaussian radial basis function-support vector regression (GA-RBF-SVR). Besides, an optimized model was developed combining the outcomes of those four models. The southwest coastal region of Bangladesh was selected as the case area. A comparable percentage of flood potential area (approximately 60% of the total land areas) was produced by all ML-based models. Despite achieving high prediction accuracy, spatial discrepancy in the model outcomes was observed, with pixel-wise correlation coefficients across different models ranging from 0.62 to 0.91. The optimized model exhibited high prediction accuracy and improved spatial agreement by reducing the number of classification errors. The framework presented in this study might aid in the formulation of risk-based development plans and enhancement of current early warning systems.

Vulnerability of Australia to heatwaves: A systematic review on influencing factors, impacts, and mitigation options.

BACKGROUND: Heatwaves have received major attention globally due to their detrimental effects on human health and the environment. The frequency, duration, and severity of heatwaves have increased recently due to changes in climatic conditions, anthropogenic forcing, and rapid urbanization. Australia is highly vulnerable to this hazard. Although there have been an increasing number of studies conducted in Australia related to the heatwave phenomena, a systematic review of heatwave vulnerability has rarely been reported in the literature. OBJECTIVES: This study aims to provide a systematic and overarching review of the different components of heatwave vulnerability (e.g., exposure, sensitivity, and adaptive capacity) in Australia. METHODS: A systematic review was conducted using the PRISMA protocol. Peer-reviewed English language articles published between January 2000 and December 2021 were selected using a combination of search keywords in Web of Science, Scopus, and PubMed. Articles were critically analyzed based on three specific heatwave vulnerability components: exposure, sensitivity, and adaptive capacity. RESULTS AND DISCUSSION: A total of 107 articles meeting all search criteria were chosen. Although there has been an increasing trend of heat-related studies in Australia, most of these studies have concentrated on exposure and adaptive capacity components. Evidence suggests that the frequency, severity, and duration of heatwaves in Australian cities has been increasing, and that this is likely to continue under current climate change scenarios. This study noted that heatwave vulnerability is associated with geographical and climatic factors, space, time, socioeconomic and demographic factors, as well as the physiological condition of people. Various heat mitigation and adaptation measures implemented around the globe have proven to be efficient in reducing the impacts of heatwaves. CONCLUSION: This study provides increased clarity regarding the various drivers of heatwave vulnerability in Australia. Such knowledge is crucial in informing extreme heat adaptation and mitigation planning.

Chemical Constituents of the Roots of Schisandra chinensis.

One new phenylpropanoid schineolignin D (1), one new sesquiterpene (-)-(7S,10S)-3,11,12,13-tetrahydroxycalamenene (2), one new quinic acid 4-(E)-O-coumaroylquinic acid ethyl ester (3), and seven known compounds 4-10 were separated from the roots of Schisandra chinensis. The chemical structures of all compounds were characterized by NMR spectroscopic experiments. All compounds were assessed for their neuroprotective effects on PC12 cell lines induced by H2 O2 . Compounds 1, 3-4, and 7 showed statistically significant neuroprotective activities with the negative control group at 12.5 µM.

Two new quinic acid derivatives from the leaves of Schisandra chinensis.

Two new (1-2) and three known quinic acid derivatives (3-5) were isolated from the leaves of Schisandra chinensis (Turcz) Baill. The structures of the compounds were determined by spectroscopic methods, especially the NMR techniques, and also by comparison with reported data in the literature. The cytotoxicity activities of these compounds were evaluated on human tumor cell lines LN229 and three of them showed a certain activity.

A new ent-kaurane diterpenoid from the pericarps of Datura metel.

A new ent-kaurane diterpenoid, named kaurane daturoside A (1), was isolated from the 70%-EtOH extract of dried pericarps of Datura metel L., along with six known terpenoids, 16α,17-dihydroxy-ent-kauran-19-diglycoside (2), cyclosieversioside F (3), astragaloside II (4), ginsenoside Rg1 (5), astrojanoside A (6), celerioside E (7). The isolated structures were elucidated by means of spectroscopic analyses, and the compounds 2, 3, 7 were separated from Solanaceae for the first time. Meanwhile, among isolates, compounds 2 and 5 exhibited anti-inflammatory activities against LPS-activated RAW264.7 cells (IC50<11.00 µM).

Inositol Derivatives with Anti-Inflammatory Activity from Leaves of Solanum capsicoides Allioni

Eight new inositol derivatives, solsurinositols A-H (1-8), were isolated from the 70% EtOH extract of the leaves of Solanum capsicoides Allioni. Careful isolation by silica gel column chromatography followed by preparative high-performance liquid chromatography (HPLC) allowed us to obtain analytically pure compounds 1-8. They shared the same relative stereochemistry on the ring but have different acyl groups attached to various hydroxyl groups. This was the first time that inositol derivatives have been isolated from this plant. The chemical structures of compounds 1-8 were characterized by extensive 1D nuclear magnetic resonance (NMR) and 2D NMR and mass analyses. Meanwhile, the in vitro anti-inflammatory activity of all compounds was determined using lipopolysaccharide (LPS)-induced BV2 microglia, and among the isolates, compounds 5 (IC50 = 11.21 ± 0.14 µM) and 7 (IC50 = 14.5 ± 1.22 µM) were shown to have potential anti-inflammatory activity.

Advanced biomedical applications of iron oxide nanostructures based ferrofluids.

Ferrofluids or magnetic nanofluids are highly stable colloidal suspensions of magnetic nanoparticles (NPs) dispersed into various base fluids. These stable ferrofluids possess high thermal conductivity, improved thermo-physical properties, higher colloidal stability, good magnetic properties, and biocompatibility, which are the primary driving forces behind their excellent performance, and thus enable them to be used for a wide range of practical applications. The most studied and advanced ferrofluids are based on iron oxide nanostructures especially NPs, because of their easy and large-scale synthesis at low costs. Although in the last decade, several review articles are available on ferrofluids but mainly focused on preparations, properties, and a specific application. Hence, a collective and comprehensive review article on the recent progress of iron oxide nanostructures based ferrofluids for advanced biomedical applications is undeniably required. In this review, the state of the art of biomedical applications is presented and critically analyzed with a special focus on hyperthermia, drug delivery/nanomedicine, magnetic resonance imaging, and magnetic separation of cells. This review article provides up-to-date information related to the technological advancements and emerging trends in iron oxide nanostructures based ferrofluids research focused on advanced biomedical applications. Finally, conclusions and outlook of iron oxide nanostructures based ferrofluids research for biomedical applications are presented.

Assessment of COVID-19 Treatment containing both Hydroxychloroquine and Azithromycin: A natural clinical trial.

The goal of this study was to assess the clinical effectiveness and safety profile of the COVID-19 treatment protocol (containing both hydroxychloroquine (HCQ) and azithromycin) in an Iraqi specialised hospital. METHODS: This prospective study used a pre- and post-intervention design without a comparison group. The intervention was routine Ministry of Health (MOH) approved the management of COVID-19 for all patients. The study was conducted in a public healthcare setting in Baghdad, Iraq from March 1st to May 25, 2020. The study outcome measures included the changes in clinical and biochemical parameters during the hospitalisation period. Paired t-test and Chi-square test were used to compare the measures of vital signs, lab tests and symptoms before and after treatment. RESULTS: The study included 161 patients who were admitted with positive RT-PCR and clinical symptoms of COVID-19. In terms of severity, 53 (32.9%) patients had amild condition, 47 (29.2%) had moderate condition, 35 (21.7%) had severe condition and 26 (16.1%) had critical condition. Most patients (84.5%) recovered and were discharged without symptoms after testing negative with RT-PCR, while 11 (6.8%) patients died during the study period. The signs and symptoms of COVID-19 were reduced significantly in response to a therapy regimen containing HCQ and azithromycin. The most common reported side effects were stomach pain, hypoglycemia, dizziness, itching, skin rash, QT prolongation, arrhythmia, and conjunctivitis. CONCLUSIONS: This natural trial showed that the COVID-19 regimen containing both HCQ and azithromycin can be helpful to promote the recovery of most patients and reduced their signs and symptoms significantly. It also shows some manageable side effects mostly those related to heart rhythm. In the absence of FDA-approved medications to treat COVID-19, the repurposing of HCQ and azithromycin to control the disease signs and symptoms can be useful.

Discovery of Active Ingredients Targeted TREM2 by SPR Biosensor-UPLC/MS Recognition System, and Investigating the Mechanism of Anti-Neuroinflammatory Activity on the Lignin-Amides from Datura metel Seeds.

As a new target protein for Alzheimer's disease (AD), the triggering receptor expressed on myeloid Cells 2 (TREM2) was expressed on the surface of microglia, which was shown to regulate neuroinflammation, be associated with a variety of neuropathologic, and regarded as a potential indicator for monitoring AD. In this study, a novel recognition system based on surface plasmon resonance (SPR) for the TREM2 target spot was established coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-MS), in order to screen the active ingredients targeting TREM2 from Datura metel seeds. The results showed that four lignan-amides were discovered as candidate compounds by SPR biosensor-UPLC/MS recognition analysis. According to the guidance of the active ingredients discovered by the system, the lignin-amides from Datura metel seeds (LDS) were preliminarily identified as containing 27 lignan-amides, which were enriched compositions by the HP-20 of Datura metel seeds. Meanwhile, the anti-inflammatory activity of LDS was evaluated in BV2 microglia induced by LPS. Our experimental results demonstrated that LDS could reduce NO release in LPS-treated BV2 microglia cells and significantly reduce the expression of the proteins of inducible Nitric Oxide Synthase (iNOS), cyclooxygenase 2 (COX-2), microtubule-associated protein tau (Tau), and ionized calcium-binding adapter molecule 1 (IBA-1). Accordingly, LDS might increase the expression of TREM2/DNAX-activating protein of 12 kDa (DAP12) and suppress the Toll-like receptor SX4 (TLR4) pathway and Recombinant NLR Family, Pyrin Domain Containing Protein 3 (NLRP3)/cysteinyl aspartate specific proteinase-1 (Caspase-1) inflammasome expression by LDS in LPS-induced BV2 microglial cells. Then, the inhibitory release of inflammatory factors Interleukin 1 beta (IL-1ß), Interleukin 6 (IL-6), and Tumor necrosis factor-alpha (TNFα) inflammatory cytokines were detected to inhibit neuroinflammatory responses. The present results propose that LDS has potential as an anti-neuroinflammatory agent against microglia-mediated neuroinflammatory disorders.

Correlation between serum nesfatin-1 level and severity of preeclampsia - A case control study.

OBJECTIVE: To investigate if serum levels of nesfatin-1 are correlated with the severity and presence of preeclampsia. METHODS: The case-control study was conducted at the Department of Obstetrics, Al-Yarmouk Hospital, Baghdad, Iraq, from February to December 2018, and comprised pregnant women recently diagnosed with preeclampsia at 37-40 weeks of gestation. They were divided into equal groups of non-severe preeclampsia group A and severe preeclampsia group B, and normotensive pregnant women of comparable gestational age control group C. Serum nesfatin-1 level was measured using enzyme-linked immunosorbent assay, and its relation to preeclampsia and its severity was analysed. Data was analysed using SPSS 25. RESULTS: Of the 150 pregnant women, 50(33%) with mean age 27.8±6.4 years and gestational age 38.3±0.9 weeks were in group A, 50(33%) with mean age 28.5±6.5 years and gestational age 38.4±1.0 weeks were in group B, and 50(33%) with mean age 29.2±7.2 years and gestational age 38.4±1.0 weeks were in group C (p>0.05) Mean nesfatin-1 concentration was lower in group A and B compared to group C (p<0.001), and it was significantly lower in group B than in group A (p<0.001). CONCLUSION: Decrease in serum nesfatin-1 level was found to be correlated with the development of preeclampsia and its severity.

Extraction of Boron Nitride Nanotubes and Fabrication of Macroscopic Articles Using Chlorosulfonic Acid.

Due to recent advances in high-throughput synthesis, research on boron nitride nanotubes (BNNTs) is moving toward applications. One future goal is the assembly of macroscopic articles of high-aspect-ratio, pristine BNNTs. However, these articles are presently unattainable because of insufficient purification and fabrication methods. We introduce a solution process for extracting BNNTs from synthesis impurities without sonication or the use of surfactants and proceed to convert the extracted BNNTs into thin films. The solution process can also be used to convert as-synthesized material-which contains significant amounts of hexagonal boron nitride ( h-BN)-into mats and aerogels with controllable structure and dimension. The solution extraction method, combined with further advances in synthesis and purification, contributes to the development of all-BNNT macroscopic articles, such as fibers and 3-D structures.

Fluidic Microactuation of Flexible Electrodes for Neural Recording.

Soft and conductive nanomaterials like carbon nanotubes, graphene, and nanowire scaffolds have expanded the family of ultraflexible microelectrodes that can bend and flex with the natural movement of the brain, reduce the inflammatory response, and improve the stability of long-term neural recordings. However, current methods to implant these highly flexible electrodes rely on temporary stiffening agents that temporarily increase the electrode size and stiffness thus aggravating neural damage during implantation, which can lead to cell loss and glial activation that persists even after the stiffening agents are removed or dissolve. A method to deliver thin, ultraflexible electrodes deep into neural tissue without increasing the stiffness or size of the electrodes will enable minimally invasive electrical recordings from within the brain. Here we show that specially designed microfluidic devices can apply a tension force to ultraflexible electrodes that prevents buckling without increasing the thickness or stiffness of the electrode during implantation. Additionally, these "fluidic microdrives" allow us to precisely actuate the electrode position with micron-scale accuracy. To demonstrate the efficacy of our fluidic microdrives, we used them to actuate highly flexible carbon nanotube fiber (CNTf) microelectrodes for electrophysiology. We used this approach in three proof-of-concept experiments. First, we recorded compound action potentials in a soft model organism, the small cnidarian Hydra. Second, we targeted electrodes precisely to the thalamic reticular nucleus in brain slices and recorded spontaneous and optogenetically evoked extracellular action potentials. Finally, we inserted electrodes more than 4 mm deep into the brain of rats and detected spontaneous individual unit activity in both cortical and subcortical regions. Compared to syringe injection, fluidic microdrives do not penetrate the brain and prevent changes in intracranial pressure by diverting fluid away from the implantation site during insertion and actuation. Overall, the fluidic microdrive technology provides a robust new method to implant and actuate ultraflexible neural electrodes.

Bending behavior of CNT fibers and their scaling laws.

Carbon nanotube (CNT) fibers are a promising material for wearable electronics and biomedical applications due to their combined flexibility and electrical conductivity. To engineer the bending properties for such applications requires understanding how the bending stiffness of CNT fibers scales with CNT length and fiber diameter. We measure bending stiffness with a cantilever setup interpreted within Euler Elastica theory. We find that the bending stiffness scales with a power law of 1.9 for the fiber diameter and 1.6 for the CNT length. The diameter scaling exponent for fiber diameter agrees with results from earlier experiments and theory for microscopic CNT bundles. We develop a simple model which predicts the experimentally observed scaling exponents within statistical significance.

Non-seminomatous mediastinal germ cell tumor and acute megakaryoblastic leukemia.

The association between mediastinal germ cell tumors (MGCT) and acute megakaryoblastic (M7) leukemia has been known for many years. We hereby present this review to better characterize the coexistence of these entities as well as the salient features, the treatment options, and the overall prognosis. A search of PUBMED, Medline, and EMBASE databases via OVID engine for primary articles and case reports under keywords "germ cell tumors" and "acute myeloid leukemia" revealed a total of 26 cases in English that reported MGCT and M7 leukemia. The median age at diagnosis of MGCT was 24 (13-36) years. All cases were stage III. All cases of MGCT were of non-seminomatous origin and one case was unclassified. MGCT occurred prior to the diagnosis of leukemia in 46% of cases and concomitantly in 31% of cases. M7 leukemia was never reported prior to the appearance of MGCT. Complex cytogenetics and hyperdiploidy were the most commonly reported cytogenetic abnormalities. In the 23 cases where the treatment regimen was available, platinum-based chemotherapy directed towards management of the germ cell tumors was used initially in 21 cases and leukemia-directed treatment was used initially in 2 cases only. The median time from diagnosis of MGCT to development of M7 leukemia was 5 (2.25-39) months. Median time to death from the initial diagnosis of MGCT was 6 (0.5-60) months. Patients with a history of MGCT are at higher risk of developing M7 leukemia. They need long-term follow-up with a particular attention to the development of hematological malignancies. The overall prognosis remains poor.

Dissolution and Characterization of Boron Nitride Nanotubes in Superacid.

Boron nitride nanotubes (BNNTs) are of interest for their unique combination of high tensile strength, high electrical resistivity, high neutron cross section, and low reactivity. The fastest route to employing these properties in composites and macroscopic articles is through solution processing. However, dispersing BNNTs without functionalization or use of a surfactant is challenging. We show here by cryogenic transmission electron microscopy that BNNTs spontaneously dissolve in chlorosulfonic acid as disentangled individual molecules. Electron energy loss spectroscopy of BNNTs dried from the solution confirms preservation of the sp2 hybridization for boron and nitrogen, eliminating the possibility of BNNT functionalization or damage. The length and diameter of the BNNTs was statistically calculated to be ∼4.5 µm and ∼4 nm, respectively. Interestingly, bent or otherwise damaged BNNTs are filled by chlorosulfonic acid. Additionally, nanometer-sized synthesis byproducts, including boron nitride clusters, isolated single and multilayer hexagonal boron nitride, and boron particles, were identified. Dissolution in superacid provides a route for solution processing BNNTs without altering their chemical structure.

Reclassifying historical disasters: From single to multi-hazards.

Multi-hazard events, characterized by the simultaneous, cascading, or cumulative occurrence of multiple natural hazards, pose a significant threat to human lives and assets. This is primarily due to the cumulative and cascading effects arising from the interplay of various natural hazards across space and time. However, their identification is challenging, which is attributable to the complex nature of natural hazard interactions and the limited availability of multi-hazard observations. This study presents an approach for identifying multi-hazard events during the past 123 years (1900-2023) using the EM-DAT global disaster database. Leveraging the 'associated hazard' information in EM-DAT, multi-hazard events are detected and assessed in relation to their frequency, impact on human lives and assets, and reporting trends. The interactions between various combinations of natural hazard pairs are explored, reclassifying them into four categories: preconditioned/triggering, multivariate, temporally compounding, and spatially compounding multi-hazard events. The results show, globally, approximately 19 % of the 16,535 disasters recorded in EM-DAT can be classified as multi-hazard events. However, the multi-hazard events recorded in EM-DAT are disproportionately responsible for nearly 59 % of the estimated global economic losses. Conversely, single hazard events resulted in higher fatalities compared to multi-hazard events. The largest proportion of multi-hazard events are associated with floods, storms, and earthquakes. Landslides emerge as the predominant secondary hazards within multi-hazard pairs, primarily triggered by floods, storms, and earthquakes, with the majority of multi-hazard events exhibiting preconditioned/triggering and multivariate characteristics. There is a higher prevalence of multi-hazard events in Asia and North America, whilst temporal overlaps of multiple hazards predominate in Europe. These results can be used to increase the integration of multi-hazard thinking in risk assessments, emergency management response plans and mitigation policies at both national and international levels.

Euchronin A-F isolated from the Arnebia euchroma (Royle) Johnst. and their anti-proliferative activities in vitro.

Six new naphthoquinones, euchronin A-F (1-6) and nine known naphthoquinones (7-15), were isolated from the roots of Arnebia euchroma (Royle) Johnst. The structures of the new compounds were confirmed by extensive spectroscopic analyses, including UV, IR, HR-ESI-MS, 1D and 2D NMR. In the present study, we estimated the anti-proliferative activities of these compounds with HaCaT cells. The results indicated that compounds 2 and 4 showed strong anti-proliferative activities at 25 µM, with relative viability at 38.83% and 68.44%, respectively.

Cytotoxicity sesquiterpenoids from the leaves of Datura stramonium L.

Four new sesquiterpenoids, dstramonins A-D (1-4), and one new natural product (5), together with three known compounds (6-8), were isolated from the leaves of Datura stramonium L. The structures of new compounds were elucidated by extensive spectroscopic analysis and comparison with the literature. The cytotoxicity of isolates against LN229 cells was assessed and compounds 2-4, and 7 displayed cytotoxic activity with IC50 values ranging from 8.03 to 13.83 µM.