Pool Formation Research Articles

Regulation of Morphogenetic Processes during Postnatal Development and Physiological Regeneration of the Adrenal Medulla.

Regulation of morphogenetic processes during postnatal development of the rat adrenal medulla was studied. Termination of the adrenal medulla growth was found to be associated with decreased chromaffin cell proliferation, activation of canonical Wnt-signaling pathway, and enhanced expression of Sonic Hedgehog ligand. Analysis of transcription factors associated with pluripotency revealed increased percentage of Oct4-expressing cells by the end of medulla growth and no signs of Sox2 expression. All the cells demonstrating activation of Wnt-signaling and expression of Oct4 and Sonic Hedgehog were found to be highly differentiated chromaffin cells actively producing tyrosine hydroxylase. These findings allow considering the formation of the cell pools for dedifferentiation as a putative mechanism for physiological regeneration of the adrenal medulla.

Correcting for range restriction in meta-analysis: A reply to Oh et al. (2023).

Oh et al. (2023) question a number of choices made in our article (Sackett et al., 2022); here we respond. They interpret our article as recommending against correcting for range restriction in general in concurrent validation studies; yet, we emphasize that we endorse correction when one has access to the information needed to do so. Our focus was on making range restriction corrections when conducting meta-analyses, where it is common for primary studies to be silent as to the prior basis for selection of the employees later participating in the concurrent validation study. As such, the applicant pool information needed for correction is typically not available. Sackett et al. (2022) highlighted that in many situations, range restriction will be small; so, the inability to correct for it results in only a modest underestimate of validity. Oh et al. mention settings that would result in substantial range restriction; here, we present our rationale as to why we view such settings as uncommon rather than as making up the bulk of the studies contributing to meta-analyses. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A Super Uniform Hydrophobic Gas Diffusion Layer for a Proton Exchange Membrane Fuel Cell.

The design and optimization of the gas diffusion layer (GDL) play a crucial role in the improvement of proton exchange membrane fuel cell performance. Hydrophobic treatment of a GDL is an important method for facilitating mass transfer, while conventional Teflon treatment is not uniform and leads to an increase in ohmic and heat resistance. Herein, a homogeneous molecular hydrophobic GDL was prepared by liquid phase synthesis, and a two-dimensional non-isothermal model was developed to investigate the transfer mechanism. The peak power density of cells with the GDL described above was improved by 46% compared to that of the conventional GDL. The ohmic and mass transport resistance decreased by 15% and 52%, respectively, under a current density of 1 A cm-2 using the uniform hydrophobic GDL. The simulation results proved that the uniform hydrophobic GDL eliminates the hydrophilic dots, which prevents the formation of water pools and reduces the resistance to gas flow. The water saturation of the conventional GDL reaches 0.19 at a current density of 1 A cm-2, and the saturation of a modified GDL under the same conditions is only 0.13. A dimensionless parameter, Tf, is proposed to characterize the resistance of oxygen diffusion. In conclusion, molecular-level uniform hydrophobic treatment can effectively reduce the ohmic and mass transfer resistance of a GDL and effectively improve the performance of fuel cells.

Research on the Melt Pool Shape Formation Mechanism of the Laser Surface Remelting of Nickel-Based Single-Crystal Superalloy

By numerical simulation and experimental analysis, the melt pool shapes for the laser surface remelting of nickel-based single-crystal superalloy under different processing parameters are investigated. The results show that heat conduction and heat convection work together to determine the formation of the melt pool during the laser surface remelting, and the melt pool shape can be controlled by adjusting the laser power and laser scanning speed. For processing with large laser power and low scanning speed, the alloy vaporizes in the melt pool, which makes the melt pool shape unstable. For laser surface remelting with smaller laser power or higher scanning speed, one can have a stable “ω” shape melt pool, which is because the Peclet number is large, and the heat convection plays the dominant role. For the condition with further smaller laser power or higher scanning speed, the Peclet number in the melt pool is much lower, and the heat convection is the weakest, which produces the semi-elliptical melt pool shape that has no essential difference from that of the pure heat conduction model. The present study offers theoretical support to our previous research and the future parameters selection of processing parameters for the laser repairing of nickel-based single-crystal superalloys.

Effect of Microchemistry Elements in Relation of Laser Welding Parameters on the Morphology 304 Stainless Steel Welds Using Response Surface Methodology

Small differences in the contents of surface active elements can change flow direction and thus heat transfer, even for different batches of a given alloy. This study aims to determine the effects of sulfur on weld bead morphology in the laser process. The paper presents the results related to the weld bead shape of two thin AISI 304 industrial stainless steel casts. One cast contains 80 ppm (0.008%) of sulfur, considered as a high sulfur content, and the other one contains 30 ppm (0.003%) sulfur, which can be considered low sulfur. The welds were executed using a CO2 laser. The effects of laser power (3.75, 3.67, 6 kW), welding speed (1.25, 2.40, 2.45, 3.6 m/min), focus point position (2, 7, 12 mm), and shield gas (Helium, mixed 40% helium + 60% argon and mixed 70% helium + 30% argon) with a flow rate of 10 L/min on the depth of the weld (D) and the aspect ratio (R = D/W) were investigated using RSM (response surface methodology). The experimental results show that the transfer of energy from the laser beam to the workpiece can be total in cases where the selected welding parameters prevent plasma formation. For the 304 HS cast, the focus point is the major factor in determining the depth of penetration, and its contribution is up to 52.35%. However, for 304 LS, the interaction between shield gas and focus point seems to play an important role, and the contribution of their interaction raises to 28% in relation to the laser depth of the weld. Moreover, the study shows that sulfur plays a surface-active role only in the case of partial penetration beads, so that a 56% partially penetrated weld supports the hypothesis of its surface-active role in the formation of the weld pool. However, a penetration of only 36% confirms the effects of a sulfur surface-active when the bead is fully penetrated.

Changes in abundant and rare microbial taxa that dominated the formation of soil carbon pool during short-term dryland-to-paddy conversion

Land consolidation of dryland-to-paddy conversion (LC-DtPC) has rapidly changed the farmland ecological environment in the short term, thereby affecting the microbial community and its mediated soil carbon sequestration. It is crucial for the improvement and stabilization of food production capacity. However, there is currently a lack of necessary knowledge about the short-term effects of LC-DtPC on the ecological processes of abundant and rare microbial taxa as well as the formation of soil carbon pool. Therefore, this study used field experiments and high-throughput sequencing technology to explore the short-term effects of LC-DtPC on abundant and rare microbial taxa and the mechanism driving soil carbon pool formation. Our results revealed that (1) the alpha diversity of abundant and rare bacteria and rare fungi was decreased by 1.14%, 6.74% and 12.84%, respectively, in the process of LC-DtPC, but the diversity of abundant fungi was increased by 14.09%. LC-DtPC significantly altered the β-diversity of abundant and rare bacterial, and rare fungal communities (p < 0.05); (2) LC-DtPC lowered the number of core microbes in the network, and reduced the robustness and vulnerability of abundant and rare microbial networks; (3) LC-DtPC significantly reduced soil carbon pool index by 28.75% in the short term (p < 0.05), and it was closely correlated with bacterial exogenous degradation and metabolism, carbohydrate metabolism, amino acid metabolism, lipid metabolism, and saprophytic fungal abundance; and (4) structural equation modeling revealed that rare bacteria played a bigger role in carbon pool formation than abundant bacteria, and bacteria played a greater role than fungi in the process of carbon pool formation under the synergistic effect of bacteria and fungi. This study explored the changes in abundant and rare microbial taxa and functions, and provided a theoretical basis for an in-depth understanding of soil carbon pool formation and mechanism during the LC-DtPC process.

Power pool‐based supervisory coordinate control strategy for DC microgrids

SummaryStandalone DC microgrids are progressively becoming explored in the modern power system. Proper voltage regulation and effective power distribution among sources are the main challenges for DC microgrid operation. A supervisory coordinated control strategy for proportionate power‐sharing and enhanced voltage regulation is presented in this paper to overcome these challenges. The formation of multiple power pools on the basis of available power from each renewable energy source (RES) is a crucial element of this approach. It modifies the power sharing between power pools and individual sources based on the amount of power available in the sources. In addition, for effective power management, it coordinates the operation of all power pools with all RESs. Also, by reducing the charging and discharging cycle of energy storage systems (ESSs), it is possible to make effective use of ESSs. The proposed control adapts to intermittent RESs and changes in the microgrid network. The proposed method's capabilities are validated by experimental results.

Formation of soil organic carbon pool is regulated by the structure of dissolved organic matter and microbial carbon pump efficacy: A decadal study comparing different carbon management strategies.

To achieve long-term increases in soil organic carbon (SOC) storage, it is essential to understand the effects of carbon management strategies on SOC formation pathways, particularly through changes in microbial necromass carbon (MNC) and dissolved organic carbon (DOC). Using a 14-year field study, we demonstrate that both biochar and maize straw lifted the SOC ceiling, but through different pathways. Biochar, while raising SOC and DOC content, decreased substrate degradability by increasing carbon aromaticity. This resulted in suppressed microbial abundance and enzyme activity, which lowered soil respiration, weakened in vivo turnover and ex vivo modification for MNC production (i.e., low microbial carbon pump "efficacy"), and led to lower efficiency in decomposing MNC, ultimately resulting in the net accumulation of SOC and MNC. In contrast, straw incorporation increased the content and decreased the aromaticity of SOC and DOC. The enhanced SOC degradability and soil nutrient content, such as total nitrogen and total phosphorous, stimulated the microbial population and activity, thereby boosting soil respiration and enhancing microbial carbon pump "efficacy" for MNC production. The total C added to biochar and straw plots were estimated as 27.3-54.5 and 41.4 Mg C ha-1 , respectively. Our results demonstrated that biochar was more efficient in lifting the SOC stock via exogenous stable carbon input and MNC stabilization, although the latter showed low "efficacy". Meanwhile, straw incorporation significantly promoted net MNC accumulation but also stimulated SOC mineralization, resulting in a smaller increase in SOC content (by 50%) compared to biochar (by 53%-102%). The results address the decadal-scale effects of biochar and straw application on the formation of the stable organic carbon pool in soil, and understanding the causal mechanisms can allow field practices to maximize SOC content.

Potential contribution of chlorella vulgaris to carbon–nitrogen turnover in freshwater ecosystems after a great sandstorm event

Urban lakes represent important land-water and nature-human dual interfaces that promote the cycling of elements from terrestrials to sediments and consequently modulating the stabilization of regional climate. However, whether disturbances caused by extreme weather events can have substantial effects on carbon-nitrogen (C–N) cycling in these ecosystems are vague. To explore the impact of phytoplankton on the ecological retention time of C–N, two kinds of freshwater (natural and landscape) were collected and conducted a microcosm experiment using a freshwater algal species Chlorella vulgaris. Sandstorm events increased dissolved inorganic carbon in freshwater (65.55 ± 3.09 and 39.46 ± 2.51 mg·L−1 for samples from Jinyang and Nankai, respectively) and significantly affected the relevant pathways of photosynthesis in Chlorella vulgaris, including enhancing chlorophyll fluorescence (The effective quantum yield of PSII at the fifth day of incubation was 0.34 and 0.35 for Nankai and Jinyang, respectively), promoting the synthesis of sugars and inhibiting the synthesis of glycine and serine related proteins. Besides, carbon from plant biomass accumulation and cellular metabolism (fulvic acid-like, polyaromatic-type humic acid and polycarboxylate-type humic acid, etc.) was enriched into residues and become a kind of energy source for the decomposer (TC mass increased by 1.63–2.13 times after 21 days of incubation). This means that the accumulation and consumption of carbon and nitrogen in the residue can be used to track the processes controlling the long-term C–N cycle. Our findings shed light on the plant residues were key factors contributing to the formation of water carbon pool, breaks the traditional theory that dissolved carbonates cannot produce carbon sinks.

Bayesian hierarchical modelling of sea-level extremes in the Finnish coastal region

Abstract. Occurrence probabilities of extreme sea levels required in coastal planning, e.g. for calculating design floods, have been traditionally estimated individually at each tide-gauge location. However, these estimates include uncertainties, as sea-level observations typically have only a small number of extreme cases such as annual maxima. Moreover, exact information on sea-level extremes between the tide-gauge locations and incorporation of dependencies between the adjacent stations is often lacking in the analysis. In this study, we use Bayesian hierarchical modelling to estimate return levels of annual maxima of short-term sea-level variations related to storm surges in the Finnish coastal region. We use the generalised extreme value (GEV) distribution as the basis and compare three hierarchical model structures of different complexity against tide-gauge-specific fits. The hierarchical model structures allow us to share information on annual maximum sea levels between the neighbouring stations and also provide a natural way to estimate uncertainties in the theoretical estimates. The results show that compared to the tide-gauge-specific fits, the hierarchical models, which pool information across the tide gauges, provide narrower uncertainty ranges for both the posterior parameter estimates and the corresponding return levels in most locations. The estimated shape parameter of the GEV model is systematically negative for the hierarchical models, which indicates a Weibull type of behaviour for the extremes along the Finnish coast. The negative shape parameter also allows us to calculate the theoretical upper limit for the annual maximum sea levels on the Finnish coast. Depending on the tide gauge and hierarchical model considered, the median value of the theoretical upper limit was 47–73 cm higher than the highest observed sea level.

Estimation of heat source model parameters for partial penetration of TIG welding using numerical optimization method

Heat source parameters have a greater influence on the accuracy of numerical modelling for predicting residual stress and temperature field. Experimental measurements of stress and temperature during arc welding are cumbersome due to dynamic transfer of heat happening in a very short span of time. So, for modelling such a high temperature process, determining the heat source model parameters are critical. In this article, a novel method for figuring out the double ellipsoid heat distribution model’s heat source parameters is demonstrated. Here, finite element analysis (FEA) is done to predict the weld bead dimensions, thermal and structural cycles of tungsten inert gas (TIG) welding of AISI S304 stainless steel plates. 25 different sets of heat source parameters are generated for 100 and 120 A input power separately. Using this generated values, weld bead dimensions are determined from the simulation. The optimization is done with the Taguchi technique taking root mean square error (RMSE) value of heat source parameters and measured weld bead dimensions as response parameters. The model is validated using experimental data and the effects of each parameter on weld pool formation during TIG welding are also studied. Optimum values of heat source parameters for stainless steel AISI 304 at 100 A welding current are 2.3283, 2.3687 and 2.667, respectively, and that for 120 A weld current are 2.5909, 2.613 and 3.4949, respectively. The prediction of temperature and welding residual stress (WRS) distribution using optimizing heat source model parameters shows closer approximation with experimental results. The demonstrated model is very much reliable and simple to predict the heat source parameters for TIG welding with partial penetration with a very lesser number of operations and minimum error.

Mechanism study on the auto-ignition and reaction kinetic characteristics of hydrogen/n-dodecane mixture under mid and high temperature conditions

To acquire the ignition promotion methods for scramjet engine, the auto-ignition and reaction kinetic characteristics of hydrogen/n-dodecane mixture under mid and high temperatures were revealed by detailed chemical kinetic mechanism and experimental data. The results illuminated that the increases of n-dodecane's content and ϕ significantly declined the ignition delay time (IDT) of hydrogen mixture (by two orders of magnitude at most) at mid-temperature high-pressure (T = 950 K&p = 40 bar). The addition of n-dodecane induced the OH radical formation in initial stage and the advance of fuel's H-abstraction reactions (hydrogen: R3, n-dodecane: R2741/R2742/R2743/R2746). Whereas, the corresponding reduction in hydrogen content inhibited the establishment of active radical pool in dual-fuel reaction system before ignition time point. The ignition promoting effect of advanced initial reaction stage overweighted the ignition inhibiting effect of weakened rapid reaction stage in mid-temperature low-reactivity dual-fuel reaction system. Interestingly, at high-temperature high-pressure (T = 1300 K&p = 40 bar), the IDT firstly decreased (by 18.8%), and then continuously increased (by 105.3% at most) with the elevating n-dodecane's content. The minor addition of n-dodecane (1% of mole fraction) at high-temperature had a similar ignition promoting effect as that at mid-temperature. Whereas, the further reduction in hydrogen content dramatically suppressed the formation of active radical pool (H/OH/HO2/H2O2), which overweighted the ignition promoting effect of slightly advanced initial reaction stage. In other words, the hydrogen played a more critical role than the n-dodecane in high-temperature reaction system due to the originally high reactivity of hydrogen. The auto-ignition properties of hydrogen/n-dodecane mixture relied on the competition relationship of initial and rapid reaction stages under specific thermodynamic conditions and blending ratios. This investigation not only reveals internal interaction mechanism between fuels and active radicals in hydrogen/n-dodecane reaction system, but also provides fundamental insights for the precisely ignition promition methods of hydrogen/aviation-kerosene dual-fuel scramjet engine.

Inhibition of free heme-catalyzed Fenton-like reaction prevents non-alcoholic fatty liver disease by hepatocyte-targeted hydrogen delivery

The metabolic disorder of hepatocytes in non-alcoholic fatty liver disease (NAFLD) leads to the formation of an iron pool which induces the Fenton reaction-derived ferroptosis and the deterioration of liver disease. The elimination of the iron pool for the removal of Fenton reactions is vitally important to prevent the evolution of NAFLD, but quite challenging. In this work, we discover that free heme in the iron pool of NAFLD can catalyze the hydrogenation of H2O2/‧OH to block the heme-based Fenton reaction for the first time, and therefore develop a novel hepatocyte-targeted hydrogen delivery system (MSN-Glu) by modifying magnesium silicide nanosheets (MSN) with N-(3-triethoxysilylpropyl) gluconamide to block the heme-catalyzed vicious circle of liver disease. The developed MSN-Glu nanomedicine exhibits a high hydrogen delivery capacity as well as sustained hydrogen release and hepatocyte-targeting behaviors, and remarkably improves the metabolic function of the liver in a NAFLD mouse model by the relief of oxidative stress and the prevention of ferroptosis in hepatocytes, accelerating the removal of the iron pool in fundamental support of NAFLD prevention. The proposed prevention strategy based on the mechanisms of NAFLD disease and hydrogen medicine will provide an inspiration for inflammation-related disease prevention.

Effects of DNA-binding ligands from dimeric bisbenzimidazoles series DBA(n) and DBPA( n) in combination with γ-radiation on epithelial-mesenchymal transition and pool size of MCF-7 breast cancer stem cells

Radiation therapy is one of the main treatments for malignant neoplasms, including breast cancer. However, it is known, that radiation therapy can lead to an increase in the number of cancer stem cells, which are resistant to traditional antitumor effects, and are believed to be responsible for the development of recurrences and metastases. Therefore, the development of cancer stem cells elimination means is of considerable interest, especially in combination with ionizing radiation. The effects of single and combined exposure to new series of minor-groove DNA ligands - dimeric bisbenzimidazoles - DBA(n) and DBPA(n) (where n is the number of methylene groups between two bisbenzimidazole blocks) and Y-radiation on human Breast cancer cells were studied in our work for MCF-7 line in vitro. Compounds with maximum cytotoxic effect and cell binding were selected, and then the effects of the latter on the CD44+CD24-/low cancer stem cells population and radiation-induced epithelial-mesenchymal transition were studied by the criterion of vimentin expression. An increase in the expression level of this protein and simultaneously in the relative number of cancer stem cells after a single exposure of Y-radiation at a dose of 4 Gy were shown. DBPA(1,4) in combination with irradiation blocked the radiation-induced vimentin expression and decreased the relative number of cancer stem cells by 1.7 and 4.1 times compared with irradiation (p = 0.041 and p = 0.005), respectively. At the same time, the absolute number of cancer stem cells decreased by 2.8 and 12.0 times compared to irradiation (p = 0.029 and p = 0.004), respectively. In contrast, DBA(5,7) by itself or in combination with Y-irradiation increased the level of vimentin expression and the same compounds when combined with irradiation increased the relative number of cancer stem cells by 3.1 and 3.6 times (p = 0.006 and p = 0.005), respectively, compared with irradiation. The absolute number of cancer stem cells increased by 2.2 and 1.5 times (p = 0.017 and p = 0.032), respectively. The data obtained show a close relationship between epithelial-mesenchymal transition and formation of the cancer stem cells pool after radiation exposure, and also indicate the prospects for further study of DBPA(1,4) as a means of cancer stem cells elimination under in vivo conditions.

Extensive genetic admixture between Tai-Kadai-speaking people and their neighbours in the northeastern region of the Yungui Plateau inferred from genome-wide variations

BackgroundYungui Plateau in Southwest China is characterized by multi-language and multi-ethnic communities and is one of the regions with the wealthiest ethnolinguistic, cultural and genetic diversity in East Asia. There are numerous Tai-Kadai (TK)-speaking populations, but their detailed evolutionary history and biological adaptations are still unclear.ResultsHere, we genotyped genome-wide SNP data of 77 unrelated TK-speaking Zhuang and Dong individuals from the Yungui Plateau and explored their detailed admixture history and adaptive features using clustering patterns, allele frequency differentiation and sharing haplotype patterns. TK-speaking Zhuang and Dong people in Guizhou are closely related to geographically close TK and Hmong-Mien (HM)-speaking populations. Besides, we identified that Guizhou TK-speaking people have a close genetic relationship with Austronesian (AN)-speaking Atayal and Paiwan people, which is supported by the common origin of the ancient Baiyue tribe. We additionally found subtle genetic differences among the newly studied TK people and previously reported Dais via the fine-scale genetic substructure analysis based on the shared haplotype chunks. Finally, we identified specific selection candidate signatures associated with several essential human immune systems and neurological disorders, which could provide evolutionary evidence for the allele frequency distribution pattern of genetic risk loci.ConclusionsOur comprehensive genetic characterization of TK people suggested the strong genetic affinity within TK groups and extensive gene flow with geographically close HM and Han people. We also provided genetic evidence that supported the common origin hypothesis of TK and AN people. The best-fitted admixture models further suggested that ancestral sources from northern millet farmers and southern inland and coastal people contributed to the formation of the gene pool of the Zhuang and Dong people.

Activating transcription factor 4 regulates mitochondrial content, morphology, and function in differentiating skeletal muscle myotubes.

Mitochondrial function is widely recognized as a major determinant of health, emphasizing the importance of understanding the mechanisms promoting mitochondrial quality in various tissues. Recently, the mitochondrial unfolded protein response (UPRmt) has come into focus as a modulator of mitochondrial homeostasis, particularly in stress conditions. In muscle, the necessity for activating transcription factor 4 (ATF4) and its role in regulating mitochondrial quality control (MQC) have yet to be determined. We overexpressed (OE) and knocked down ATF4 in C2C12 myoblasts, differentiated them to myotubes for 5 days, and subjected them to acute (ACA) or chronic (CCA) contractile activity. ATF4 mediated myotube formation through the regulated expression of myogenic factors, mainly Myc and myoblast determination protein 1 (MyoD), and suppressed mitochondrial biogenesis basally through peroxisome proliferator-activated receptor gamma coactivator 1alpha (PGC-1α). However, our data also show that ATF4 expression levels are directly related to mitochondrial fusion and dynamics, UPRmt activation, as well as lysosomal biogenesis and autophagy. Thus, ATF4 promoted enhanced mitochondrial networking, protein handling, and the capacity for clearance of dysfunctional organelles under stress conditions, despite lower levels of mitophagy flux with OE. Indeed, we found that ATF4 promoted the formation of a smaller pool of high-functioning mitochondria that are more responsive to contractile activity and have higher oxygen consumption rates and lower reactive oxygen species levels. These data provide evidence that ATF4 is both necessary and sufficient for mitochondrial quality control and adaptation during both differentiation and contractile activity, thus advancing the current understanding of ATF4 beyond its canonical functions to include the regulation of mitochondrial morphology, lysosomal biogenesis, and mitophagy in muscle cells.

Bootstrapping Concept Formation in Small Neural Networks

The question how neural systems (of humans) can perform reasoning is still far from being solved. We posit that the process of forming Concepts is a fundamental step required for this. We argue that, first, Concepts are formed as closed representations, which are then consolidated by relating them to each other. Here we present a model system (agent) with a small neural network that uses realistic learning rules and receives only feedback from the environment in which the agent performs virtual actions. First, the actions of the agent are reflexive. In the process of learning, statistical regularities in the input lead to the formation of neuronal pools representing relations between the entities observed by the agent from its artificial world. This information then influences the behavior of the agent via feedback connections replacing the initial reflex by an action driven by these relational representations. We hypothesize that the neuronal pools representing relational information can be considered as primordial Concepts, which may in a similar way be present in some pre-linguistic animals, too. This system provides formal grounds for further discussions on what could be understood as a Concept and shows that associative learning is enough to develop concept-like structures.

Origin of Silicate Spherules and Geochemistry of Re and Platinum-Group Elements Within Microfossil-Bearing Archean Chert from the 3.4 Ga Strelley Pool Formation, Western Australia.

Silicate spherules have been identified from the ca. 3.4 Ga-old Strelley Pool Formation (SPF) in the Pilbara Craton, Western Australia. Their origins and geochemical characteristics, including the Re and platinum-group elements of their host clastic layer and the overlying and underlying microfossil-bearing finely laminated carbonaceous cherts, were examined. The spherules have various morphologies (completely spherical to angular), sizes (∼20 to >500 μm), textures (layered, non-layered, and fibrous), mineralogy (various proportions of microcrystalline quartz, sericite, anatase and Fe-oxides), and chemistry (enriched in Ni and/or Cr), commonly with thin anatase-rich walls. Their host clastic layer is characterized by rip-up clasts, suggesting a suddenly occurring high-energy depositional environment, such as tsunamis. Although various origins other than asteroid impact were considered, none could unequivocally explain the features of the spherules. In contrast, non-layered spherical spherules that occur as individual framework grains or collectively comprise angular-shaped rock fragments appear to be more consistent with the asteroid impact origin. The calculated Re-Os age of the cherts (3331 ± 220 Ma) was consistent with the established age of the SPF (3426-3350 Ma), suggesting that the Re-Os system was not significantly disturbed by later metamorphic and weathering events.

Prospective study: expression levels of microRNA-7-3p and its target STAT3 in head and neck cancer.

Head and neck cancer (HNC) is the seventh most prevalent type of cancer in the globe, and it encompasses a wide range of tumors that affect the oral, facial and neck region. Despite breakthroughs in treatment strategies, patients survival has not increased substantially in the last few decades. Therefore, there is need for quick and reliable biomarkers and therapeutic targets for the treatment of HNC. Interestingly, microRNAs (miRNAs) are a small non-coding RNAs (ncRNAs) that have a role in the post-transcriptional regulation of gene expression. Thus, the aim of the study is to evaluate the role of miR-7-3p in the HNC and normal tissues. A total of 25 HNC and normal tissues were collected from the Department of Oral and Maxillofacial Surgery, Saveetha Dental College and Hospitals. Bioinformatic tool (TargetScan) was used to predict the target for miR-7-3p. The tissue samples were processed for Hematoxylin and Eosin staining and following that total RNA was extracted and analyzed for expression studies using RT-qPCR. The bioinformatic analysis of the current study have revealed that STAT3 is a direct target for miR-7-3p. The histopathological examination showed damaged epithelial cells and keratin pool formation was observed in HNC tissue. Our results have also revealed that the miR-7-3p levels were significantly reduced and STAT3 levels were significantly higher in the HNC tissues when compared to the normal tissues. MiR-7-3p can be used as a prognostic, diagnostic biomarker and therapeutic target for the treatment of HNC.

Comparison of Melted Corium Relocation during Severe Accident of High Temperature Reactor using Moving Particle Semi-Implicit Method

System failure in nuclear reactors can cause degradation of a reactor core, allowing melting and relocation of the corium to the lower plenum in the nuclear reactor system. In this study, a severe accident simulation was carried out using the Moving Particle Semi-Implicit (MPS) method. In this method, we model the relocation of molten corium on the reactor core (support plate) to the lower plenum for several conditions with variations: corium material, lower plenum conditions, temperature, viscosity, and density. Those treatments were carried out in order to be able to compare and analyze the characteristics of the corium melt by reviewing the velocity profiles. The formation of a corium pool and debris bed can result in significant temperature differences and high heat flux against the walls of the reactor vessel, causing a decrease in the integrity of the reactor vessel and reactor failure.Keywords: Corium, Uranium Dioxide (UO2), Zirconium Dioxide (ZrO2), Fluid Relocation, Moving Particle Semi-Implicit (MPS).