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In order to obtain the curing reaction temperature parameters of E-glass fiber/epoxy resin prepreg, DSC was carried out. Kissinger and Crane equations were used to obtain the phenomenological nth-order reaction curing kinetic parameters of the prepreg. The optimal curing temperature of the prepreg was obtained by T-β extrapolation method, and the phenomenological curing kinetic model of the prepreg was established. Monolayer board and laminate of[0]10 were prepared by molding process. The dynamic thermodynamic properties of the prepreg were studied by dynamic mechanical analysis (DMA). The results show that the apparent activation energy and the reaction order of the prepreg are 87.8 kJ/mol and 0.93, respectively. The glass transition temperature Tg of the laminates is 130-133℃. The loss factor tanδ of[0]10 laminate is higher than that of monolayer board.

Additive Manufacturing(AM) is an advanced direct-manufacturing technology, based on the discrete-stacking principle. Laser Powder Bed Fusion (L-PBF) is one of the most promising technologies in the field of metal AM, with the characteristics of fabricating parts with complex shapes directly. For L-PBF equipment , the core device is lasers, and almost all L-PBF printers are currently equipped with infrared laser. However, due to too low absorption rate of the pure copper surface to infrared laser and high thermal conductivity between pure copper, it is extremely challenging to fabricate pure copper by traditional infrared-laser powder bed fusion(IR L-PFB). In this work, green-laser was applied to replace traditional infrared laser during L-PBF process, molten pool structure and temperature flow behavior of Green-Laser powder bed additive manufacturing pure copper was studied by mesoscopic simulation. Here we show that green-laser greatly improved the absorption rate of the pure copper surface, and the result showed that with lower cost laser process parameters (lower laser power 300W and larger hatching space 0.08 mm), pure copper parts with smoother surface, no-remelting and no obvious defects could be fabricated successfully.

AlCu5MnCdVA alloys had high specific strength, good machining and fatigue properties, outstanding electroplating and excellent corrosion resistance. However, due to wide crystallization temperature range, it is hard to realize sequential solidification for AlCu5MnCdVA alloy by traditional casting process. Laser Powder Bed Fusion (L-PBF) has become one of the most promising technology in Metal Additive Manufacturing (MAM). In this study, L-PBF was employed to fabricate AlCu5MnCdVA parts, and both mesoscopic numerical element model and experimental printing were applied to study the feasibility of L-PBF Additive Manufacturing AlCu5MnCdVA alloy. Relative densities, phase analysis and micromorphology were investigated systematically by SEM, EDS and XRD. The laser process parameters window for AlCu5MnCdVA were obtained: volumetric energy density 41–51 J mm ^−3 , laser power 230–240W, laser scanning speed 1200–1325 mm s ^−1 . And the relative density of parts fabricated by L-PBF reached 96.1%. Besides, AlCu5MnCdVA alloy fabricated by L-PBF was mainly consist of α -Al, little other phase such as Al _2 Cu or Al _2 Mn _3 was detected.

The prediction of the flow behavior of Metal micro-molten pool is prerequisite for high-quality Laser Powder Bed Fusion (L-PBF). In this study, mesoscopic scale numerical simulation modelling for L-PBF process was used to help understand the melting process of pure copper micro-melt pool. In this study, the orthogonal test was designed to study the influence of laser power, laser scanning velocity, hatching space on the flow behavior of molten pool and the overlapping rate of adjacent molten tracks. The results shows that laser scanning speed has the greatest influence on both the size and overlapping rate of the molten pool, and the overall trend was that the size of molten pool continues to increase as the volume energy density increases, and the maximum molten pool size was 243.6 um × 110 um with volume energy density 370.037 J mm ^−3 , overlapping rate of adjacent molten tracks was 48.84% with volume energy density 285.71 J/mm ^3 . The optimized pure copper laser process parameters were obtained: laser power 300 KW, laser scanning speed 500 mm/s, hatching space 0.07 mm, overlapping rate 48.84%.

A new two-step selective laser remelting (SLR) process was proposed to fabricate 316L stainless steel. The density, surface roughness, and mechanical properties were investigated by a multifunctional density tester, surface roughness meter, and tensile testing machine. Compared with the single-melting selective laser melting (SLM) process, the relative density, surface roughness (R _a ), ultimate tensile strength, yield strength, elastic modulus, and elongation reached 99.31%, 6.67 μ m, 725 MPa, 643 MPa, 13.95 GPa, and 40.8%, respectively. In addition, the microstructure and fracture characteristics were studied by OM, SEM, and EDS. The results showed little unmelted powder and fewer defects (balling, spatter, and cracks). In addition, a closer and smoother connection between the welds and equiaxed cell were obtained by the SLR process.

Selective Laser Melting (SLM) has become one of the most promising technologies in Metal Additive Manufacturing (MAM), which is a complex dynamic non-equilibrium process involving heat transfer, melting, phase transition, vaporization and mass transfer. The characteristics of the molten pool (structure, temperature flow and velocity flow) have a decisive influence on the final forming quality of SLM. In this study, both numerical simulation and experiments were employed to study molten pool structure, temperature flow and velocity field in Selective Laser Melting AlCu5MnCdVA alloy. The results showed the structure of molten pool showed different forms (deep-concave structure, double-concave structure, plane structure, protruding structure and ideal planar structure), and the size of the molten pool was approximately 132 μ m × 107 μ m × 50 μ m: in the early stage, molten pool was in a state of deep-concave shape with a depth of 15 μ m due to multiple driving forces, while a protruding shape with a height of 10 μ m duo to tension gradient in the later stages of forming. The metal flow inside the molten pool was mainly driven by laser impact force, metal liquid gravity, surface tension and recoil pressure. For AlCu5MnCdVA alloy, metal liquid solidification speed was extremely fast (3.5 × 10 ^−4 S), the heating rate and cooling rate reached 6.5 × 10 ^7 K S ^−1 and 1.6 × 10 ^6 K S ^−1 , respectively. Choosing surface roughness as a visual standard, low-laser energy AlCu5MnCdVA alloy optimum process parameters window was obtained by numerical simulation: laser power 250 W, hatching space 0.11 mm, layer thickness 0.03 mm, laser scanning velocity 1.5 m s ^−1 . In addition, compared with experimental printing and numerical simulation, the width of the molten pool was about 205 um and about 210 um, respectively, and overlapping between two adjacent molten tracks was all about 65 um. The results showed that the numerical simulation results were basically consistent with the experimental print results, which proved the correctness of the numerical simulation model.

Transforming growth factor-beta 2 (TGF-β2), an important member of the TGF-β family, is a secreted protein that is involved in many biological processes, such as cell growth, proliferation, migration, and differentiation. TGF-β2 had been thought to be functionally identical to TGF-β1; however, an increasing number of recent studies uncovered the distinctive features of TGF-β2 in terms of its expression, activation, and biological functions. Mice deficient in TGF-β2 showed remarkable developmental abnormalities in multiple organs, especially the cardiovascular system. Dysregulation of TGF-β2 signalling was associated with tumorigenesis, eye diseases, cardiovascular diseases, immune disorders, as well as motor system diseases. Here, we provide a comprehensive review of the research progress in TGF-β2 to support further research on TGF-β2. [ABSTRACT FROM AUTHOR]

KV channel-interacting proteins (KChIP1-4) belong to a family of Ca2+-binding EF-hand proteins that are able to bind to the N-terminus of the KV4 channel α-subunits. KChIPs are predominantly expressed in the brain and heart, where they contribute to the maintenance of the excitability of neurons and cardiomyocytes by modulating the fast inactivating-KV4 currents. As the auxiliary subunit, KChIPs are critically involved in regulating the surface protein expression and gating properties of KV4 channels. Mechanistically, KChIP1, KChIP2, and KChIP3 promote the translocation of KV4 channels to the cell membrane, accelerate voltage-dependent activation, and slow the recovery rate of inactivation, which increases KV4 currents. By contrast, KChIP4 suppresses KV4 trafficking and eliminates the fast inactivation of KV4 currents. In the heart, IKs, ICa,L, and INa can also be regulated by KChIPs. ICa,L and INa are positively regulated by KChIP2, whereas IKs is negatively regulated by KChIP2. Interestingly, KChIP3 is also known as downstream regulatory element antagonist modulator (DREAM) because it can bind directly to the downstream regulatory element (DRE) on the promoters of target genes that are implicated in the regulation of pain, memory, endocrine, immune, and inflammatory reactions. In addition, all the KChIPs can act as transcription factors to repress the expression of genes involved in circadian regulation. Altered expression of KChIPs has been implicated in the pathogenesis of several neurological and cardiovascular diseases. For example, KChIP2 is decreased in failing hearts, while loss of KChIP2 leads to increased susceptibility to arrhythmias. KChIP3 is increased in Alzheimer's disease and amyotrophic lateral sclerosis, but decreased in epilepsy and Huntington's disease. In the present review, we summarize the progress of recent studies regarding the structural properties, physiological functions, and pathological roles of KChIPs in both health and disease. We also summarize the small-molecule compounds that regulate the function of KChIPs. This review will provide an overview and update of the regulatory mechanism of the KChIP family and the progress of targeted drug research as a reference for researchers in related fields. [ABSTRACT FROM AUTHOR]

The origin and population history of the endangered golden snub-nosed monkey (Rhinopithecus roxellana) remain largely unavailable and/or controversial. We here integrate analyses of multiple genomic markers, including mitochondrial (mt) genomes, Y-chromosomes, and autosomes of 54 golden monkey individuals from all three geographic populations (SG, QL, and SNJ). Our results reveal contrasting population structures. Mt analyses suggest a division of golden monkeys into five lineages: one in SNJ, two in SG, and two in QL. One of the SG lineages (a mixed SG/QL lineage) is basal to all other lineages. In contrast, autosomal analyses place SNJ as the most basal lineage and identify one QL and three SG lineages. Notably, Y-chromosome analyses bear features similar to mt analyses in placing the SG/QL-mixed lineage as the first diverging lineage and dividing SG into two lineages, while resembling autosomal analyses in identifying one QL lineage. We further find bidirectional gene flow among all three populations at autosomal loci, while asymmetric gene flow is suggested at mt genomes and Y-chromosomes. We propose that different population structures and gene flow scenarios are the result of sex-linked differences in the dispersal pattern of R. roxellana. Moreover, our demographic simulation analyses support an origin hypothesis suggesting that the ancestral R. roxellana population was once widespread and then divided into SNJ and non-SNJ (SG and QL) populations. This differs from previous mt-based "mono-origin (SG is the source population)" and "multiorigin (SG is a fusion of QL and SNJ)" hypotheses. We provide a detailed and refined scenario for the origin and population history of this endangered primate species, which has a broader significance for Chinese biogeography. In addition, this study highlights the importance to investigate multiple genomic markers with different modes of inheritance to trace the complete evolutionary history of a species, especially for those exhibiting differential or mixed patterns of sex dispersal. [ABSTRACT FROM AUTHOR]

Diabetic vascular complications are prevalent and severe among diabetic patients, profoundly affecting both their quality of life and long-term prospects. These complications can be classified into macrovascular and microvascular complications. Under the impact of risk factors such as elevated blood glucose, blood pressure, and cholesterol lipids, the vascular endothelium undergoes endothelial dysfunction, characterized by increased inflammation and oxidative stress, decreased NO biosynthesis, endothelial-mesenchymal transition, senescence, and even cell death. These processes will ultimately lead to macrovascular and microvascular diseases, with macrovascular diseases mainly characterized by atherosclerosis (AS) and microvascular diseases mainly characterized by thickening of the basement membrane. It further indicates a primary contributor to the elevated morbidity and mortality observed in individuals with diabetes. In this review, we will delve into the intricate mechanisms that drive endothelial dysfunction during diabetes progression and its associated vascular complications. Furthermore, we will outline various pharmacotherapies targeting diabetic endothelial dysfunction in the hope of accelerating effective therapeutic drug discovery for early control of diabetes and its vascular complications., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Yang, Wang, Zhang and Wang.)

The origin and population history of the endangered golden snub-nosed monkey (Rhinopithecus roxellana) remain largely unavailable and/or controversial. We here integrate analyses of multiple genomic markers, including mitochondrial (mt) genomes, Y-chromosomes, and autosomes of 54 golden monkey individuals from all three geographic populations (SG, QL, and SNJ). Our results reveal contrasting population structures. Mt analyses suggest a division of golden monkeys into five lineages: one in SNJ, two in SG, and two in QL. One of the SG lineages (a mixed SG/QL lineage) is basal to all other lineages. In contrast, autosomal analyses place SNJ as the most basal lineage and identify one QL and three SG lineages. Notably, Y-chromosome analyses bear features similar to mt analyses in placing the SG/QL-mixed lineage as the first diverging lineage and dividing SG into two lineages, while resembling autosomal analyses in identifying one QL lineage. We further find bidirectional gene flow among all three populations at autosomal loci, while asymmetric gene flow is suggested at mt genomes and Y-chromosomes. We propose that different population structures and gene flow scenarios are the result of sex-linked differences in the dispersal pattern of R. roxellana. Moreover, our demographic simulation analyses support an origin hypothesis suggesting that the ancestral R. roxellana population was once widespread and then divided into SNJ and non-SNJ (SG and QL) populations. This differs from previous mt-based "mono-origin (SG is the source population)" and "multiorigin (SG is a fusion of QL and SNJ)" hypotheses. We provide a detailed and refined scenario for the origin and population history of this endangered primate species, which has a broader significance for Chinese biogeography. In addition, this study highlights the importance to investigate multiple genomic markers with different modes of inheritance to trace the complete evolutionary history of a species, especially for those exhibiting differential or mixed patterns of sex dispersal., (© The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)