The role of singlet oxygen potentially mediating increased conformational flexibility of a disulfide was investigated. Density functional theory (DFT) calculations indicate that the singlet oxygenation of 1,2-dimethyl...
The role of singlet oxygen potentially mediating increased conformational flexibility of a disulfide was investigated. Density functional theory (DFT) calculations indicate that the singlet oxygenation of 1,2-dimethyldisulfane produces a peroxy intermediate. This intermediate adopts a structure with a longer S-S bond distance and a more planar torsional angle theta (C-S-S-C) compared with the nonoxygenated 1,2-dimethyldisulfane The lengthened S-S bond enables a facile rotation about the torsional angle in the semicircle region 0 degrees < theta < 210 degrees, that is similar to 5 kcal mol(-1) lower in energy than the disulfane. The peroxy intermediate bears n(o) -> sigma(S-S )and no -> sigma(S-S* ) interactions that stabilize the S-O bond but destabilize the S-S bond, which contrasts with stabilizing ns -> sigma(S-S* ) hyperconjugative effects in the disulfane 5-5 bond. Subsequent departure of O-2 from the disulfane peroxy intermediate is reminiscent of peroxy intermediates which also expel O-2, yet facilitate cis-trans isomerizations of stilbenes, hexadienes, cyanines, and carotenes. "Non-oxidative" O-1(2) interactions with a variety of bond types are currently underappreciated. We hope to raise awareness of how these interactions can help elucidate the origins of molecular twisting.
Microorganisms primarily utilize nutrients to generate biomass and replicate. When a single nutrient source is available, the produced biomass typically increases linearly with the initial amount of that nutrient. Thi...
Microorganisms primarily utilize nutrients to generate biomass and replicate. When a single nutrient source is available, the produced biomass typically increases linearly with the initial amount of that nutrient. This linear trend can be accurately predicted by "black box models", which conceptualize growth as a single chemical reaction, treating nutrients as substrates and biomass as a product. However, natural environments usually present multiple nutrient sources, prompting us to extend the black box framework to incorporate catabolism, anabolism, and biosynthesis of biomass precursors. This modification allows for the quantification of co-utilization effects among multiple nutrients on microbial biomass production. The extended model differentiates between different types of nutrients: non-degradable nutrients, which can only serve as a biomass precursor, and degradable nutrients, which can also be used as an energy source. We experimentally demonstrated using Escherichia coli that, in contrast to initial model predictions, different nutrients affect each other's utilization in a mutually dependent manner;i.e., for some combinations, the produced biomass was no longer proportional to the initial amounts of nutrients present. To account for these mutual effects within a black box framework, we phenomenologically introduced an interaction between the metabolic processes involved in utilizing the nutrient sources. This phenomenological model qualitatively captures the experimental observations and, unexpectedly, predicts that the total produced biomass is influenced not only by the combination of nutrient sources but also by their relative initial amounts - a prediction we subsequently validated experimentally. Moreover, the model identifies which metabolic processes - catabolism, anabolism, or precursor biosynthesis-is affected in each specific nutrient combination, offering insights into microbial metabolic coordination.
Amorphous ices are usually classified as belonging to low-density or high-density amorphous ice (LDA and HDA) with densities rho LDA approximate to 0.94 g/cm3 and rho HDA approximate to 1.15-1.17 g/cm3. However, a rec...
Amorphous ices are usually classified as belonging to low-density or high-density amorphous ice (LDA and HDA) with densities rho LDA approximate to 0.94 g/cm3 and rho HDA approximate to 1.15-1.17 g/cm3. However, a recent experiment crushing hexagonal ice (ball-milling) produced a medium-density amorphous ice (MDA, rho MDA approximate to 1.06 g/cm3) adding complexity to our understanding of amorphous ice and the phase diagram of supercooled water. Motivated by the discovery of MDA, we perform computer simulations where amorphous ices are produced by isobaric cooling and isothermal compression/decompression. Our results show that, depending on the pressure employed, isobaric cooling can generate a continuum of amorphous ices with densities that expand in between those of LDA and HDA (briefly, intermediate amorphous ices, IA). In particular, the IA generated at P approximate to 125 MPa has a remarkably similar density and average structure as MDA, implying that MDA is not unique. Using the potential energy landscape formalism, we provide an intuitive qualitative understanding of the nature of LDA, HDA, and the IA generated at different pressures. In this view, LDA and HDA occupy specific and well-separated regions of the PEL;the IA prepared at P = 125 MPa is located in the intermediate region of the PEL that separates LDA and HDA. Recently, a medium-density amorphous ice (MDA) was synthesized via ball-milling of hexagonal ice, adding complexity to our understanding of the phase diagram of supercooled water and amorphous ice. Here, the authors use molecular dynamics simulations to show that, depending on the employed pressure, isobaric cooling can generate a continuum of amorphous ices with densities that expand in between those of low- and high-density amorphous ices, with some of these amorphous ices being remarkably similar to MDA.
The geometric dimensions of vent holes in headphone products are key to the impedance characteristics of sound wave propagation and, in turn, affect the low-frequency acoustic performance. However, qualitative and qua...
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ISBN:
(纸本)9798350386851;9798350386844
The geometric dimensions of vent holes in headphone products are key to the impedance characteristics of sound wave propagation and, in turn, affect the low-frequency acoustic performance. However, qualitative and quantitative research on this topic is still insufficient. Therefore, we studied headphone rear chamber vent hole, with a diameter and depth of 1.0 mm and 2 mm, respectively. The acoustic specific airflow resistance of the vent hole was measured using a self-made system that consists of a differential pressure meter and a flow controller. Then, the results were input into the model for correction, to complete the verification between finite element simulation and measurements. The results showed that simulations corrected with the specific airflow resistance measurements of vent hole in the headphone chamber not only enhance the accuracy of low-frequency simulations, but also effectively reduce the error, with maximum discrepancy between simulation and measurement decreasing from 1.3% to 0.063%.
Manganese (Mn) is an essential and important metal;however, overexposures lead to adverse neurological outcomes. Nonoccupational Mn overexposure occurs primarily through consumption of Mn-contaminated drinking water (...
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Manganese (Mn) is an essential and important metal;however, overexposures lead to adverse neurological outcomes. Nonoccupational Mn overexposure occurs primarily through consumption of Mn-contaminated drinking water (DW). Sex differences in terms of nervous and immune systems' responsiveness to excessive Mn in the DW are understudied. Thus, this study investigated behavioral and sex differences in response to Mn DW treatment (0.4 g Mn/L for up to 8 weeks) and a lipopolysaccharide (LPS) challenge of adult C57BL/6 mice with GFP-tagged monocytes/microglia. After 6 weeks, in motor function tests, Mn exposure resulted in decreased activity and gait deficits. In two different mood tests (open field test [OFT]/elevated zero maze), Mn-exposed mice exhibited decreased fear/anxiety-like behavior. Two weeks after behavioral assessment, when mice were challenged with LPS, circulating inflammatory cytokines, and acute phase proteins increased in both sexes. After 8 weeks of Mn exposure, liver and brain Mn levels were increased, but Mn alone did not affect circulating cytokines in either sex. Notably, Mn-exposed/LPS-challenged males had potentiated plasma cytokine output, whereas the reverse was seen in females. Males, but not females, continued to exhibit increased fearlessness (i.e., increased OFT center time), even when challenged with LPS. Overall, our results show that Mn DW exposure increases brain Mn levels and it leads to behavioral alterations in both sexes. However, males might be more susceptible to the effect of Mn on mood, and this effect is recalcitrant to an inflammagen challenge. Mn augmented post-LPS cytokine production only in males, further indicating that important Mn effects are sex-biased.
The potential energy landscape (PEL) formalism is a powerful tool within statistical mechanics to study the thermodynamic properties of classical low-temperature liquids and glasses. Recently, the PEL formalism has be...
The potential energy landscape (PEL) formalism is a powerful tool within statistical mechanics to study the thermodynamic properties of classical low-temperature liquids and glasses. Recently, the PEL formalism has been extended to liquids/glasses that obey quantum mechanics, but applications have been limited to atomistic model liquids. In this work, we extend the PEL formalism to liquid/glassy water using path-integral molecular dynamics (PIMD) simulations, where nuclear quantum effects (NQE) are included. Our PIMD simulations, based on the q-TIP4P/F water model, show that the PEL of quantum water is both Gaussian and anharmonic. Importantly, the ring-polymers associated to the O/H atoms in the PIMD simulations, collapse at the local minima of the PEL (inherent structures, IS) for both liquid and glassy states. This allows us to calculate, analytically, the IS vibrational density of states (IS-VDOS) of the ring-polymer system using the IS-VDOS of classical water (obtained from classical MD simulations). The role of NQE on the structural properties of liquid/glassy water at various pressures are discussed in detail. Overall, our results demonstrate that the PEL formalism can effectively describe the behavior of molecular liquids at low temperatures and in the glass states, regardless of whether the liquid/glass obeys classical or quantum mechanics.
The aim of this study is to propose innovative three-dimensional channel-based and scene-based measurement techniques for spatial sound fields, based on two-dimensional measurement and analysis, which can be used for ...
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ISBN:
(纸本)9798350386851;9798350386844
The aim of this study is to propose innovative three-dimensional channel-based and scene-based measurement techniques for spatial sound fields, based on two-dimensional measurement and analysis, which can be used for measurement and analysis of important acoustic parameters in concert halls with more than 1,000 seats. The results were compared with actual reverberation time 60 (RT60) and early decay time (EDT) measurements obtained on site in 2006, with differences between the methods proposed in this study and on-site measurements ranging from 0.2 s similar to 0.4 s. Scene-based results were closest, with an average error of only 0.027 s. The error decreased as the frequency increased, reaching a minimum of 0.004 s. In addition, scene-based measurement not only simplifies the complex and tedious measurement processes of the past, but also produces more diverse spatial parameters for a comprehensive understanding of the acoustic characteristics of a space, which designers can quickly grasp and which can be used as references for optimization and improvement.
To meet the requirements of electromagnetic interference (EMI) certification, ac-dc converters always require a common-mode (CM) filter to limit the amount of EMI emissions transferred to the power grid. However, CM f...
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To meet the requirements of electromagnetic interference (EMI) certification, ac-dc converters always require a common-mode (CM) filter to limit the amount of EMI emissions transferred to the power grid. However, CM filters based on the well-known LC low-pass filter are usually bulky and costly. Many solutions to this problem have been proposed based on active filter technologies, which have the major drawback of requiring the use of current detectors, active circuits, and auxiliary power supplies. Therefore, a passive CM current cancellation method is proposed that is composed entirely of passive components and has the advantages of cost and system reliability. Compared with conventional passive LC filters, the number of magnetic components is the same, and only one additional winding is required. Previous studies only presented an ideal model without any related derivation, and the impact of any nonlinear components was not mentioned. In this letter, a further derivation of the nonlinear model is provided, and a comparison of the differences based on different characteristics of inductors is conducted to improve the circuit design.
Despite growing awareness of the size-dependent toxicity caused by micro- and nano-plastics (MNPs) in fish, the modulation of the liver lipidome as a function of particle size has not been thoroughly investigated. Thi...
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Despite growing awareness of the size-dependent toxicity caused by micro- and nano-plastics (MNPs) in fish, the modulation of the liver lipidome as a function of particle size has not been thoroughly investigated. This study explores the subcellular and molecular responses induced by polystyrene microplastics (MPs, 1 mu m) and nanoplastics (NPs, 52 nm) in zebrafish liver (ZFL) cells, with a focus on the modulation of the cell's lipidome and gene expression profiles. Both particle sizes are readily internalized by ZFL cells;however, NPs had a more pronounced impact compared to MPs. Lipidomic analysis revealed that MPs decreased polyunsaturated phospholipids, while NPs increased ether-linked phosphatidylcholines (PC-Ps/PC-Os). Gene expression analysis showed that high concentrations of MPs down-regulated the expression of fatty acid synthesis related genes, and significantly downregulated the microsomal triglyceride transfer protein (mtp) gene, indicating a perturbation in lipid storage metabolism, which was not observed for NP exposure. In contrast, NPs induced a dose-dependent accumulation of lipids, suggesting increased lipid droplet formation and an activation of ceramide-mediated apoptosis pathway. These findings provide new insights into the molecular mechanisms of MNP toxicity and emphasize the importance of considering particle size when assessing environmental and health risks. Furthermore, this study highlights the potential of lipidomics for elucidating the mechanisms underlying MNP toxicity, prompting further research into of the long-term consequences of exposure.
Colorectal cancer has been one of the leading causes of mortality over the past decade, and colorectal polyps are the leading cause of this disease. Conventional polyp detection techniques are insufficient for proper ...
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Colorectal cancer has been one of the leading causes of mortality over the past decade, and colorectal polyps are the leading cause of this disease. Conventional polyp detection techniques are insufficient for proper detection;thus, an efficient detection method is indispensable. In this study, we collected colorectal images from a hospital in Taiwan, annotated the ground truth of polyp locations, and integrated them with a public dataset to create a colonoscopy dataset. Data augmentation techniques are further used to increase the training dataset's diversity to improve the models' detection performance. By developing the comparison system based on the recent state-of-the-art methods (i.e., FasterRCNN, SSD, YOLOv3, and YOLOv4), we compared the measurement metrics and statistically analyzed the performance of the models to identify the significant statistical difference in models' performance. Moreover, we developed and integrated an error handling mechanism with each model to discard the false and null predictions. Finally, our model comparison system selects and proposes the best performing deep learning model to detect and classify colorectal polyps. We expect that the proposed model will accurately locate and classify different types of polyps. Eventually, this approach will ensure a valuable medical aid model.
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