Fast Assembly Research Articles

The effect of Centrifuged Hot-Dip Galvanisation (SHDG) Process on the Corrosion on Nuts

The bolted fasteners, widely used in various industries, are the fundamental structural components most commonly used in the assembly of steel structures. Bolted fasteners offer advantages such as versatility, reliability, minimal maintenance and inspection costs, easy and fast assembly, and good strength under variable loads. However, fastener failures occur due to complex loading conditions, hydrogen embrittlement during fabrication or service, fatigue failures due to alternative stress, and combined effects of corrosion and stress. Therefore, the study of fastener failure is critical for safety in both every day and industrial applications. Zinc plating has long been a preferred method of protecting fasteners from corrosive environments. One of the most commonly used methods for coating fasteners today is the centrifugal hot dip galvanising (SHDG) process. SHDG is suitable for outdoor applications on small metal parts (bolts, nuts, washers) that cannot be hot dip galvanised. Centrifugation removes all excess zinc from the threads of bolts. Oversized nuts fit perfectly on very small parts. In this study, nut samples coated with SHDG were exposed to corrosion in a corrosive environment according to ASTM B117 standards. At the end of thirteen (13) days, the outer surface of the nut attached to the screw was cut and the screw steps were examined using scanning electron microscopy (SEM) and energy dispersive X-ray spectrometry (EDS). The results show that the zinc coating on the surface produced by the SHDG process is effective in protecting the metal nuts against corrosion. The zinc patina begins its development with exposure to oxygen in the atmosphere, forming a layer of zinc oxide on the surface. Moisture from rain or humid air reacts with the zinc oxide to form zinc hydroxide which then reacts with carbon dioxide present in the air to form the tightly adherent, insoluble zinc patina.

Biaxial Resistance of Pre-Engineered Beam Hangers in Glulam

In timber construction, Glulam post-and-beam systems are commonly used to transfer vertical loads to the foundation. In such systems, the connections play a critical role in structural performance. Pre-engineered connectors, which facilitate fast and efficient assembly, are typically designed to resist only vertical shear loads. However, during seismic and wind events, post-and-beam systems deform horizontally, and axial forces develop at the connections. In this research, the performance of RICON and MEGANT pre-engineered connectors was studied under biaxial loading involving concurrent shear and axial forces. A total of 12 full-scale tests on Glulam frame segments were conducted. Neither type of connector experienced any resistance loss under concurrent shear loads equal to the factored shear resistance and axial loads equal to 5% of the factored shear resistance. The axial load-carrying capacity of the RICON and MEGANT connectors was up to 124% and 97% of their factored shear resistance, respectively. The global failure of all the studied connectors demonstrated both ductility and residual deformation capacity. These results provide valuable information for engineers designing Glulam post-and-beam systems in seismic regions.

Small-molecule zwitterionic morpholinium sulfonates as non-cytotoxic materials exhibiting LCST thermo-responsive phase separation in water

In this work, for the first time, a fast and novel assembly of morpholinium-based zwitterionic materials (ZMs) is reported, with benzosultone 2 as the key component in the synthesis of zwitterionic smart materials.

Utilizing Golden Gate Assembly to Streamline CRISPR-Cas/NgTET-Based Phage Mutagenesis.

Phage engineering is an emerging technology due to the promising potential application of phages in medical and biotechnological settings. Targeted phage mutagenesis tools are required to customize the phages for a specific application and generate, in addition to that, so-called designer phages. CRISPR-Cas technique is used in various organisms to perform targeted mutagenesis. Yet, its efficacy is notably limited for phage mutagenesis due to the highly abundant phage DNA modifications. Addressing this challenge, we have developed a novel approach that involves the temporal removal of phage DNA cytosine modifications, allowing for effective CRISPR-Cas targeting and subsequent introduction of mutations into the phage genome. The removal of cytosine modification relies on the catalytic activity of a eukaryotic ten-eleven translocation methylcytosine (TET) dioxygenase. TET enzymes iteratively de-modify methylated or hydroxymethylated cytosines on phage DNA. The temporal removal of cytosine modification ultimately enables efficient DNA cleavage by Cas enzymes and facilitates mutagenesis. To streamline the application of the coupled TET-CRISPR-Cas system, we use Golden Gate cloning for fast and efficient assembly of a vector that comprises a TET oxidase and a donor DNA required for scarless site-specific phage mutagenesis. Our approach significantly advances the engineering of modified phage genomes, enabling the efficient generation of customized phages for specific applications.

Exploration of Optical Fiber and Laser Cutting Head Applications in High-Radiation Environments for Fast Reactor Spent Fuel Reprocessing.

Fast-neutron reactors are an important representative of Generation IV nuclear reactors, and due to the unique structure and material properties of fast reactor fuel, traditional mechanical cutting methods are not applicable. In contrast, laser cutting has emerged as an ideal alternative. However, ensuring the stability of optical fibers and laser cutting heads under high radiation doses, as well as maintaining cutting quality after irradiation, remains a significant technical challenge. Here, we study the performance changes in optical fibers exposed to a total radiation dose of 105 Gy, focusing on power transmission and thermal characteristics. By integrating irradiated optical fibers with irradiated laser cutting heads, simulated cutting experiments on the hexagonal tubes of spent fuel from fast reactors (fast reactor simulation assembly) were conducted. Critical cutting quality parameters, including kerf width, surface roughness, and slagging length, were analyzed. The results indicate that, while the power transmission performance of irradiated optical fibers shows slight degradation, its impact on cutting quality is minimal. High-quality cutting can still be achieved under optimized parameters. This study confirms the feasibility of laser cutting technology in high-radiation environments and provides essential technical support for its application in nuclear fuel reprocessing.

Modular and Fast Assembly of Self-Immobilizing Fluorogenic Probes for β-Galactosidase Detection.

β-Galactosidase (β-gal) has emerged as a pivotal biomarker in primary ovarian cancer. Despite the existence of numerous fluorescent probes for β-gal activity detection, quinone methide-based immobilizing probes were shown to avoid rapid diffusion of the activated fluorophore and improve the resolution. However, the synthesis of these fluorophores, particularly near-infrared fluorophores, still exhibits lower efficiency. In this study, we introduce modular and rapidly assembled self-immobilizing fluorogenic probes, capitalizing on the proximity labeling properties of quinone methide (QM). Compared to conventional fluorescent probes, these new probes not only exhibit a fluorogenic response but also achieve permanent retention, demonstrating improved detection sensitivity, particularly after cell fixation and in vivo animal model studies. This straightforward synthesis approach holds promise for broader applications in detecting other analytes.

A physical model for M1-mediated influenza A virus assembly

Influenza A virus particles assemble at the plasma membrane of infected cells. During assembly all components of the virus come together in a coordinated manner to deform the membrane into a protrusion eventually forming a new, membrane-enveloped virus. Here, we integrate recent molecular insights of this process, particularly concerning the structure of the matrix protein 1 (M1), within a theoretical framework describing the mechanics of virus assembly. Our model describes M1 polymerization and membrane protrusion formation, explaining why it is efficient for M1 to form long strands assembling into helices in filamentous virions. Eventually, we find how the architecture of M1 helices is controlled by physical properties of viral proteins and the host cell membrane. Finally, by considering the growth force and speed of viral filaments, we propose that the helical geometry of M1 strands might have evolved to optimize for fast and efficient virus assembly and growth.

VEMcomp: a Virtual Elements MATLAB package for bulk-surface PDEs in 2D and 3D

AbstractWe present a Virtual Element MATLAB solver for elliptic and parabolic, linear and semilinear Partial Differential Equations (PDEs) in two and three space dimensions, which is coined VEMcomp. Such PDEs are widely applicable to describing problems in material sciences, engineering, cellular and developmental biology, among many other applications. The library covers linear and nonlinear models posed on different simple and complex geometries, involving time-dependent bulk, surface, and bulk-surface PDEs. The solver employs the Virtual Element Method (VEM) of lowest polynomial order $${k=1}$$ k = 1 on general polygonal and polyhedral meshes, including the Finite Element Method (FEM) of order $${k=1}$$ k = 1 as a special case when the considered mesh is simplicial. VEMcomp has three main purposes. First, VEMcomp generates polygonal and polyhedral meshes optimized for fast matrix assembly. Triangular and tetrahedral meshes are encompassed as special cases. For surface PDEs, VEMcomp is compatible with the well-known Matlab package DistMesh for mesh generation. Second, given a mesh for the considered geometry, possibly generated with an external package, VEMcomp computes all the matrices (mass and stiffness) required by the VEM or FEM method. Third, for multiple classes of stationary and time-dependent bulk, surface and bulk-surface PDEs, VEMcomp solves the considered PDE problem with the VEM or FEM in space and IMEX Euler in time, through a user-friendly interface. As an optional post-processing, VEMcomp comes with its own functions for plotting the numerical solutions and evaluating the error when possible. An extensive set of examples illustrates the usage of the library.

Simulation Analysis Based on Sodium-Cooled Fast Reactor Fuel Assembly Under Blockage Accident

This paper employs computational fluid dynamics to investigate the fuel assemblies within a sodium-cooled fast neutron reactor. To begin with, we developed computational models for seven wire spacer fuel rods under both normal operating conditions and transient blockage conditions. We conducted separate analyses to assess the impacts of normal operation, blockage thickness, and blockage area. This work allowed us to acquire data on the heat transfer properties and the flow field variations for the coolant, blockages, and fuel rods across different conditions. Subsequently, we leveraged these flow field alterations to examine the resulting temperature distributions. Analyses were conducted to evaluate the effects of normal operation, blockage thickness, and blockage area. The research acquired the heat transfer characteristics and flow field distribution variations of the coolant, blockages, and fuel rods under different operational conditions and utilized these variations to analyze the temperature distribution. Through research analysis, the following conclusions have been reached. Under normal operating conditions, the temperature and flow fields of the fuel components exhibit cyclic variations along the axial length, corresponding to the pitch of the wire spacers. Heat exchange between the internal and external subchannels occurs independently, which further substantiates that the incorporation of wire spacers strengthens lateral flow disturbances. This effect is more pronounced within the internal subchannels, thereby leading to a marked difference in the flow fields on either side of the wire spacers. In the case of blocked conditions, an increase in blockage thickness and area both lead to higher temperatures for the coolant, the blockages themselves, and the fuel rods. The temperature in the recirculation zone behind the blockages also rises with increasing blockage thickness and area, although the magnitude of this increase is not significant. After the onset of blockage conditions, the instantaneous temperature tends to increase. As time progresses, the instantaneous temperature fields following the blockage do not display greater fluctuations in temperature change than those observed after the system has stabilized. For the temperature parameters of the convective field, differences arising from an increase in blockage area are more significant than those caused by an increase in blockage thickness. When blockage area and blockage thickness are increased by the same multiple, an increase in blockage area results in a higher temperature peak. Increasing the area of blockage necessitates a longer duration for both the temperature and the velocity fields to revert to equilibrium.

MOVING: A Multi-Modal Dataset of EEG Signals and Virtual Glove Hand Tracking.

Brain-computer interfaces (BCIs) are pivotal in translating neural activities into control commands for external assistive devices. Non-invasive techniques like electroencephalography (EEG) offer a balance of sensitivity and spatial-temporal resolution for capturing brain signals associated with motor activities. This work introduces MOVING, a Multi-Modal dataset of EEG signals and Virtual Glove Hand Tracking. This dataset comprises neural EEG signals and kinematic data associated with three hand movements-open/close, finger tapping, and wrist rotation-along with a rest period. The dataset, obtained from 11 subjects using a 32-channel dry wireless EEG system, also includes synchronized kinematic data captured by a Virtual Glove (VG) system equipped with two orthogonal Leap Motion Controllers. The use of these two devices allows for fast assembly (∼1 min), although introducing more noise than the gold standard devices for data acquisition. The study investigates which frequency bands in EEG signals are the most informative for motor task classification and the impact of baseline reduction on gesture recognition. Deep learning techniques, particularly EEGnetV4, are applied to analyze and classify movements based on the EEG data. This dataset aims to facilitate advances in BCI research and in the development of assistive devices for people with impaired hand mobility. This study contributes to the repository of EEG datasets, which is continuously increasing with data from other subjects, which is hoped to serve as benchmarks for new BCI approaches and applications.

A two-phase model of galaxy formation – II. The size–mass relation of dynamically hot galaxies

ABSTRACT In Paper-I, we developed a two-phase model to connect dynamically hot galaxies (such as ellipticals and bulges) with the formation of self-gravitating gas clouds (SGCs) associated with the fast assembly of dark matter haloes. Here, we explore the implications of the model for the size–stellar mass relation of dynamically hot galaxies. Star-forming sub-clouds resulting from the fragmentation of the turbulent SGC inherit its spatial structure and dynamical hotness, producing a ‘homologous’ relation, $r_{\rm f}\approx \, 100\, r_{\rm bulge}$, between the size of a dynamically hot galaxy ($r_{\rm bulge}$) and that of its host halo assembled in the fast regime ($r_{\rm f}$), independent of redshift and halo mass. This relation is preserved by the ‘dry’ expansion driven by dynamical heating when a galaxy becomes gas-poor due to inefficient cooling, and is frozen due to the stop of bulge growth during the slow assembly regime of the halo. The size–stellar mass relation is thus a simple combination of the galaxy–halo homology and the non-linear stellar mass–halo mass relation. Using a set of halo assembly histories, we reproduce all properties in the observed size–mass relation of dynamically hot galaxies, including the flattening in the low-mass end and the upturn in the massive end. The prediction matches observational data currently available to $z \approx 4$, and can be tested in the future at higher z. Our results indicate that the sizes of dynamically hot galaxies are produced by the dissipation and collapse of gas in haloes to establish SGCs in which stars form.

Evidence of mitochondria origin of SARS-CoV-2 double-membrane vesicles: a review.

Coronavirus Disease-19 (COVID-19) pandemic is caused by SARS-CoV-2 that has infected more than 600 million people and killed more than 6 million people worldwide. This infection affects mainly certain groups of people that have high susceptibility to present severe COVID-19 due to comorbidities. Moreover, the long-COVID-19 comprises a series of symptoms that may remain in some patients for months after infection that further compromises their health. Thus, since this pandemic is profoundly affecting health, economy, and social life of societies, a deeper understanding of viral replication cycle could help to envisage novel therapeutic alternatives that limit or stop COVID-19. Several findings have unexpectedly discovered that mitochondria play a critical role in SARS-CoV-2 cell infection. Indeed, it has been suggested that this organelle could be the origin of its replication niches, the double membrane vesicles (DMV). In this regard, mitochondria derived vesicles (MDV), involved in mitochondria quality control, discovered almost 15 years ago, comprise a subpopulation characterized by a double membrane. MDV shedding is induced by mitochondrial stress, and it has a fast assembly dynamic, reason that perhaps has precluded their identification in electron microscopy or tomography studies. These and other features of MDV together with recent SARS-CoV-2 protein interactome and other findings link SARS-CoV-2 to mitochondria and support that these vesicles are the precursors of SARS-CoV-2 induced DMV. In this work, the morphological, biochemical, molecular, and cellular evidence that supports this hypothesis is reviewed and integrated into the current model of SARS-CoV-2 cell infection. In this scheme, some relevant questions are raised as pending topics for research that would help in the near future to test this hypothesis. The intention of this work is to provide a novel framework that could open new possibilities to tackle SARS-CoV-2 pandemic through mitochondria and DMV targeted therapies.

Experiments on Criticality and Reactivity Worths in the FCA-XXII-1 Assembly Simulating Highly Enriched MOX Fueled Tight Lattice LWR Cores

A series of integral experiments were conducted at the fast critical assembly (FCA) of the Japan Atomic Energy Agency, simulating light water reactor cores with a tight lattice cell of highly enriched mixed-oxide (MOX) fuel containing >15% fissile plutonium (Pu). The three experimental configurations of the FCA-XXII-1 assembly were constructed using foamed polystyrene with different void fractions (45%, 65%, and 95%) to clarify the prediction accuracy of neutronics calculation codes and nuclear data libraries among various neutron spectra. The hydrogen-to–nuclear fuel atomic ratio varied from 0.1 to 0.8. The nuclear characteristics measured in the experiments were criticality (keff), moderator void reactivity worths, and sample reactivity worths using boron carbide (20%, 60%, and 90% 10B enrichment) and Pu (92%, 81%, and 75% fissile Pu ratio). Preliminary analyses on experiments were conducted using a deterministic calculation code system conventionally used for fast reactors and the Japanese evaluated nuclear data library of JENDL-4.0. The calculated keff values overestimated the experiments beyond the experimental uncertainties. However, most reactivity worth calculations agreed well with the experimental values. Even beyond the experimental uncertainties, discrepancies between the calculation and the experiment were <13%. Specifically in the reactivity worth analyses of the softer neutron spectra configurations, the treatment of ultrafine energy groups obviously improved the prediction accuracy of the deterministic calculations. Furthermore, reference calculations for criticality and large reactivity worths were performed with the Monte Carlo calculation code MVP3 by modeling the experimental configurations in detail, confirming that the deterministic calculations closely agreed with the reference values.

Upsampling Monte Carlo Reactor Simulation Tallies in Depleted Sodium-Cooled Fast Reactor Assemblies Using a Convolutional Neural Network

The computational demand of neutron Monte Carlo transport simulations can increase rapidly with the spatial and energy resolution of tallied physical quantities. Convolutional neural networks have been used to increase the resolution of Monte Carlo simulations of light water reactor assemblies while preserving accuracy with negligible additional computational cost. Here, we show that a convolutional neural network can also be used to upsample tally results from Monte Carlo simulations of sodium-cooled fast reactor assemblies, thereby extending the applicability beyond thermal systems. The convolutional neural network model is trained using neutron flux tallies from 300 procedurally generated nuclear reactor assemblies simulated using OpenMC. Validation and test datasets included 16 simulations of procedurally generated assemblies, and a realistic simulation of a European sodium-cooled fast reactor assembly was included in the test dataset. We show the residuals between the high-resolution flux tallies predicted by the neural network and high-resolution Monte Carlo tallies on relative and absolute bases. The network can upsample tallies from simulations of fast reactor assemblies with diverse and heterogeneous materials and geometries by a factor of two in each spatial and energy dimension. The network’s predictions are within the statistical uncertainty of the Monte Carlo tallies in almost all cases. This includes test assemblies for which burnup values and geometric parameters were well outside the ranges of those in assemblies used to train the network.

SYBR Green I and DNA-modulated charge neutralization assembly of naked AuNPs for fast colorimetric sensing of Cd2+ in cosmetics

The involvement of cadmium in cosmetics results in inevitable exposure to our daily life. Therefore, it is of great significance to develop a simple and rapid method for fast screening of cadmium in cosmetics. Gold nanoparticles (AuNPs)-based colorimetric sensing offers a simple strategy for analytical detection, but the typical surface functionalization of AuNPs adds complexity to the overall detection. Nucleic acid dye-based charge neutralization offered a truly simple and fast approach for the assembly of AuNPs over the conventional salt-induced strategy. Herein, we developed a simple colorimetric sensing system for Cd2+, based on nucleic acid dye SYBR Green I (SG) and Cd2+ aptamer (Cd-2-1)-modulated charge neutralization assembly of naked AuNPs. The method rationale was based on the higher affinity of Cd2+ to Cd-2-1 DNA over SG, as well as the stable and fast charge neutralization-induced assembly of AuNPs by SG. The limit of detection (LOD) of the proposed method was 0.27 μM, which was substantially lower than the maximum permitted amount of Cd2+ in cosmetics regulated by the Chinese Food and Drug Administration (CFDA, 5 mg/kg, equivalent to 4.45 µM in our assay). Successful exploration of the proposed method was demonstrated for the detection of Cd2+ in cosmetics.

Mix ratio optimization and comprehensive performances of novel high-early strength non-shrinkage sleeve grouting material

Considerable infrastructures for urban renewal need fast assembly and daylight open traffic, and it is urgent to develop a novel sleeve grouting material with high-early strength and non-shrinkage (UCGM) for fast connection of assembly structure. Here, sulphoaluminate-Portland cement (S+PC) and high-strength sulphoaluminate clinker and anhydrite (7SA+AH) were used as two binders of UCGMs. The close packing effect of various particle size of dry powders of UCGM was achieved with the closest packing theory. Then, the preliminary mix ratio optimization of UCGM was carried out according to the initial flowability (S0) and 12 h compressive strength (fc12 h) of UCGM. Finally, the mix ratio of UCGM was optimized by further introducing additives and fibers, and the rheological property, mechanical property, expansion rate, durability, and microstructure of UCGMs were comprehensively studied. Results show that, the S0, flowability retention after 30 min (S30 m), fc12 h, 28d compressive strength (fc28d), 3 h expansion rate (P3 h), and the gap between 3 h/24 h expansion rate (GP3–24 h) of UCGM with S+PC and 7SA+AH system are 300 mm, 270 mm, 62 MPa, 128.4 MPa, 0.06%, 0.095%; 300 mm, 280 mm, 82.5 MPa, 106 MPa, 0.025%, 0.11%, respectively. Obviously, the UCGM with S+PC system has superior flowability, faster and longer lasting growth in strength, higher durability, and better in-packing effect for sleeve structure, which is more suitable for fast assembly of urban facilities.

A neutron fluence map of the Los Alamos National Laboratory Godiva IV critical assembly

A neutron fluence map and a total ionizing dose map of the Los Alamos National Laboratory Godiva IV fast burst critical assembly was generated using passive reactor dosimetry, comprised of sulfur pellets and thermoluminescent dosimeters. Godiva IV is an unmoderated, fast burst, critical assembly constructed of approximately 65 kg of highly enriched uranium fuel alloyed with 1.5 % molybdenum for strength. [1] The mapping was performed during a single 75.6 ºC temperature rise burst operation, with the top and sides of the cylindrical Godiva-IV Top Hat covered in passive dosimetry. Dosimetry was placed in a symmetric pattern around the Top Hat, with higher concentrations near the control rods and burst rod. A specific portion of the lower quadrant of the burst rod was mapped to confirm a testing region where the neutron fluence varied by no more than ± 5%. The results will be used to assess the neutron, gamma, and total ionizing dose environment in three-dimensional space around the assembly for higher fidelity experiment placement, active dosimetry positioning, and radiation field characterization.

Syntheses of bottromycin derivatives via Ugi-reactions and Matteson homologations.

New bottromycin derivatives have been prepared using flexible Ugi and Matteson reactions. The Ugi reaction allows the fast and direct assembly of sterically hindered peptide fragments, while the Matteson homologation is excellently suited for the stereoselective synthesis of unusual amino acids like β-methylphenylalanine. Some of the new compounds show excellent activity against Streptococcus pneumoniae.

Deciphering the Knoevenagel condensation: towards a catalyst-free and water-mediated process.

The Knoevenagel condensation constitutes one of the most well-studied and crucial transformations in organic chemistry, since it facilitates the synthesis of numerous valuable compounds. With the advent of green chemistry, several alternative protocols for the Knoevenagel reaction have been introduced and catalyst-free approaches to the Knoevenagel condensation have also been mentioned, however the harsh temperatures employed and the limited substrate scope restricted their application. Herein, we have performed an extensive study on the catalyst-free and water-mediated Knoevenagel reaction, with specific focus on optimising the green parameters and metrics of our methodology. Additionally, we directly compared our approach with previous catalyst-free methods, while providing a fast assembly of multiple compounds in parallel.

Hot-Casting Strategy Empowers High-Boiling Solvent-Processed Organic Solar Cells with Over 18.5% Efficiency.

Most top-rank organic solar cells (OSCs) are manufactured by the halogenated solvent chloroform, which possesses a narrow processing window due to its low-boiling point. Herein, based on two high-boiling solvents, halogenated solvent chlorobenzene (CB) and non-halogenated green solvent ortho-xylene (OX), preparing active layers with the hot solution is put forward to enhance the performance of the OSCs. In situ test and morphological characterization clarify that the hot-casting strategy assists in the fast and synchronous molecular assembly of both donor and acceptor in the active layer, contributing to preferable donor/acceptor ratio, vertical phase separation, and molecular stacking, which is beneficial to charge generation and extraction. Based on the PM6:BO-4Cl, the hot-casting OSCs with a wide processing window achieve efficiencies of 18.03% in CB and 18.12% in OX, which are much higher than the devices processed with room temperature solution. Moreover, the hot-casting devices with PM6:BTP-eC9 deliver a remarkable fill factorof 80.31% and efficiencyof 18.52% in OX, representing the record value among binary devices with green solvent. This work demonstrates a facile strategy to manipulate the molecular distribution and arrangement for boosting the efficiency of OSCs with high-boiling solvents.