Performance and Interfacial Microstructure of Al/Steel Joints Welded by Resistance Element Welding.

In this study, an upper sheet of an A6061 aluminum alloy and a lower sheet of Q235 steel were welded by resistance element welding with a steel rivet. The temperature field during welding was calculated using ABAQUS numerical simulation software, and the interfacial microstructure was observed. A nugget was formed between the rivet shank and the lower sheet. With increases in welding current and welding time, the tensile shear load of the joint increased first and then decreased slightly. When the welding current was 14 kA and the welding time was 300 ms, the tensile shear load of the joint reached a maximum of 7.93 kN. The smaller the distance from the position to the lower sheet along the interface between the rivet shank and upper sheet, the longer the high-temperature duration and the higher the peak temperature during welding. At the junction of the rivet shank, upper sheet, and lower sheet in the joint, the high-temperature duration was the longest, at about 392 ms, and the peak temperature was the highest, at about 1237 °C. The results show that the smaller the distance from the position to the lower sheet along the interface between the rivet shank and the upper sheet in the joint, the thicker the reaction layer generated there, and that the thickness of the reaction layer was about 2.0 µm at the junction of the rivet shank, upper sheet, and lower sheet in the joint.

An All-In-One Multifunctional Touch Sensor with Carbon-Based Gradient Resistance Elements.

HIGHLIGHTS: Carbon-based gradient resistance element structure is proposed for the construction of multifunctional touch sensor, which will promote wide detection and recognition range of multiple mechanical stimulations. Multifunctional touch sensor with gradient resistance element and two electrodes is demonstrated to eliminate signals crosstalk and prevent interference during position sensing for human-machine interactions. Biological sensing interface based on a deep-learning-assisted all-in-one multipoint touch sensor enables users to efficiently interact with virtual world. Human-machine interactions using deep-learning methods are important in the research of virtual reality, augmented reality, and metaverse. Such research remains challenging as current interactive sensing interfaces for single-point or multipoint touch input are trapped by massive crossover electrodes, signal crosstalk, propagation delay, and demanding configuration requirements. Here, an all-in-one multipoint touch sensor (AIOM touch sensor) with only two electrodes is reported. The AIOM touch sensor is efficiently constructed by gradient resistance elements, which can highly adapt to diverse application-dependent configurations. Combined with deep learning method, the AIOM touch sensor can be utilized to recognize, learn, and memorize human-machine interactions. A biometric verification system is built based on the AIOM touch sensor, which achieves a high identification accuracy of over 98% and offers a promising hybrid cyber security against password leaking. Diversiform human-machine interactions, including freely playing piano music and programmatically controlling a drone, demonstrate the high stability, rapid response time, and excellent spatiotemporally dynamic resolution of the AIOM touch sensor, which will promote significant development of interactive sensing interfaces between fingertips and virtual objects.

Mimiviruses: Giant viruses with novel and intriguing features (Review).

The Mimivirus is a giant virus that infects amoebae and was long considered to be a bacterium due to its size. The viral particles are composed of a protein capsid of ~500 nm in diameter, which is enclosed in a polysaccharide layer in which ~120­140 nm long fibers are embedded, resulting in an overall diameter of 700 nm. The virus has a genome size of 1.2 Mb DNA, and surprisingly, replicates only in the cytoplasm of the infected cells without entering the nucleus, which is a unique characteristic among DNA viruses. Their existence is undeniable; however, as with any novel discovery, there is still uncertainty concerning their pathogenicity mechanisms in humans and the nature of the Mimivirus virophage resistance element system (MIMIVIRE), a term given to describe the immune network of the Mimivirus, which closely resembles the CRISPR­Cas system. The scope of the present review is to discuss the recent developments derived from structural and functional studies performed on the distinctive characteristics of the Mimivirus, and from studies concerning their putative clinical relevance in humans.

Metabolic engineering of acid resistance elements to improve acid resistance and propionic acid production of Propionibacterium jensenii.

Propionic acid (PA) and its salts are widely used in the food, pharmaceutical, and chemical industries. Microbial production of PA by propionibacteria is a typical product-inhibited process, and acid resistance is crucial in the improvement of PA titers and productivity. We previously identified two key acid resistance elements-the arginine deaminase and glutamate decarboxylase systems-that protect propionibacteria against PA stress by maintaining intracellular pH homeostasis. In this study, we attempted to improve the acid resistance and PA production of Propionibacterium jensenii ATCC 4868 by engineering these elements. Specifically, five genes (arcA, arcC, gadB, gdh, and ybaS) encoding components of the arginine deaminase and glutamate decarboxylase systems were overexpressed in P. jensenii. The activities of the five enzymes in the engineered strains were 26.7-489.0% higher than those in wild-type P. jensenii. The growth rates of the engineered strains decreased, whereas specific PA production increased significantly compared with those of the wild-type strain. Among the overexpressed genes, gadB (encoding glutamate decarboxylase) increased PA resistance and yield most effectively; the PA resistance of P. jensenii-gadB was more than 10-fold higher than that of the wild-type strain, and the production titer, yield, and conversion ratio of PA reached 10.81 g/L, 5.92 g/g cells, and 0.56 g/g glycerol, representing increases of 22.0%, 23.8%, and 21.7%, respectively. We also investigated the effects of introducing these acid resistance elements on the transcript levels of related enzymes. The results showed that the expression of genes in the engineered pathways affected the expression of the other genes. Additionally, the intracellular pools of amino acids were altered as different genes were overexpressed, which may further contribute to the enhanced PA production. This study provides an effective strategy for improving PA production in propionibacteria; this strategy may be useful for the production of other organic acids. Biotechnol. Bioeng. 2016;113: 1294-1304. © 2015 Wiley Periodicals, Inc.

Genetic elements of drug-resistance in a strain of multidrug-resistant Klebsiella pneumoniae isolated from bronchoalveolar lavage fluid / 中华临床感染病杂志

Objective To analyze the resistance genes in a muhidrug resistant Klebsiella pneumoniae (MDRKP) strain.Methods A MDRKP strain was isolated from bronchoalveolar lavage fluid in Pediatric Intensive Care Unit of Children's Hospital Affiliated to Soochow University in February 2012.Acquired resistance genes to beta-lactams,aminoglycosides,quinolones,ompK35 and ompK36 gene for outer membrane porin protein,and carbapenems targeting PBP2 gene were analyzed by PCR and verified by DNA sequencing.Results Acquired resistance genes TEM-1,SHV-1 to beta-lactam antimicrobial agents and aac(6′)-I b to aminoglycoside antimicrobial agents were positive in the strain of MDRKP.While 16S rRNA methylase,ompK35 and ompK36 genes for outer membrane porin protein were negative.Compared with susceptible strains,there were 9 synonymous mutations in PBP2 gene sequence of this MDRKP strain,but the amino acid sequences were the same.No mutation in quinolone resistance determining region (QRDR) was observed.Conclusion The multidrug resistance of the isolated Klebsiella pneumoniae strain may be related to 2 kinds of beta-lactam acquired resistance genes,1 kind of aminoglycoside acquired resistance gene,ompK35 and ompK36 genes defects and synonymous mutation in PBP2 gene.