Fabrication of Antireflection Micro/Nanostructures on the Surface of Aluminum Alloy by Femtosecond Laser

Designed micro-nano structures on the surface of aluminum alloy provide excellent light trapping properties that can be used extensively in thermal photovoltaics, sensors, etc. However, the fabrication of high-performance antireflective micro-nano structures on aluminum alloy is challenging because aluminum has shallow intrinsic losses and weak absorption. A two-step strategy is proposed for fabricating broadband antireflection structures by superimposing nanostructures onto microscale structures. By optimizing the processing parameters of femtosecond laser, the average reflectances of 2.6% within the visible spectral region (400–800 nm) and 5.14% within the Vis-NIR spectral region (400–2500 nm) are obtained

Fabrication of Antireflection Micro/Nanostructures on the Surface of Aluminum Alloy by Femtosecond Laser

Designed micro-nano structures on the surface of aluminum alloy provide excellent light trapping properties that can be used extensively in thermal photovoltaics, sensors, etc. However, the fabrication of high-performance antireflective micro-nano structures on aluminum alloy is challenging because aluminum has shallow intrinsic losses and weak absorption. A two-step strategy is proposed for fabricating broadband antireflection structures by superimposing nanostructures onto microscale structures. By optimizing the processing parameters of femtosecond laser, the average reflectances of 2.6% within the visible spectral region (400–800 nm) and 5.14% within the Vis-NIR spectral region (400–2500 nm) are obtained

Semaphorin 5A suppresses ferroptosis through activation of PI3K-AKT-mTOR signaling in rheumatoid arthritis

Abstract Abnormal activation of synovial fibroblasts (SFs) plays an important role in rheumatoid arthritis (RA), the mechanism of which remains unknown. The purpose of our study is to comprehensively and systematically explore the mechanism for Semaphorin 5A-mediated abnormal SF activation in RA. Here, we found that Semaphorin 5A levels were significantly higher in synovial fluid and synovial tissue from RA patients compared with osteoarthritis patients. We further found that the mRNA level and protein abundance of Plexin-A1 was elevated in RA SFs compared with OA SFs, while Plexin-B3 expression showed no significant difference. The increased Semaphorin 5A in RA synovial fluid was mainly derived from CD68+ synovial macrophages, and the elevation led to increased binding between Semaphorin 5A and its receptors, thereby promoting cytokine secretion, proliferation, and migration, and decreasing apoptosis. Moreover, the effect of Semaphorin 5A on enhancing activation (cytokine secretion, cell proliferation and migration) and reducing apoptosis of SFs was significantly abolished after knockdown of Plexin-A1 and Plexin-B3 by small interfering RNA. Transcriptome sequencing and protein array detection revealed that Semaphorin 5A activated the PI3K/AKT/mTOR signaling pathway and inhibited ferroptosis. Morphologically, transmission electron microscopy results showed that Semaphorin 5A could significantly eliminate the mitochondrial diminution, membrane density increased and crest ruptured of SFs induced by ferroptosis inducer RSL3. Mechanistically, Semaphorin 5A enhanced GPX4 expression and SREBP1/SCD-1 signaling by activating the PI3K/AKT/mTOR signaling pathway, thus suppressing ferroptosis of RA SFs. In conclusion, our study provided the first evidence that elevated Semaphorin 5A in RA synovial fluid promotes SF activation by suppressing ferroptosis through the PI3K/AKT/mTOR signaling pathway

Comparing the Effects of Pond and Rice Field Culture Methods on Muscle Quality of Rice Flower Carp

Rice flower carp (Cyprinus carpio rubrofuscus) has high economic value because of its tender meat. However, a comprehensive scientific evaluation of the meat quality and nutritional value of rice flower carp is still needed. At the same time, because of its fast growth and strong disease resistance, rice flower carp is widely popularized in rice field culture but without any research comparing its quality with the pond culture method. Although rice farming has high ecological value, the fish yield is low and its specifications are abnormal, which cannot guarantee the stability and safety of the commercial fish supply and limit the potential rice flower carp industrial benefits. In addition, some studies have shown that fish muscle quality can be affected by environmental conditions. This study aimed to comprehensively evaluate the muscle quality and nutritional value of the rice flower carp and investigate the relationships between the nutritional values and its culture conditions, providing data to increase the rice flower carp yield, economic efficiency, and farmed varieties available. Therefore, 6 000 Quanzhou rice flower carp (2.35±0.08 g) were randomly divided into ponds and rice field groups for the experiment (three replicates per group, with a density of 15 000/hm2). The pond culture group was fed with 3% of the commercially established everyday food per fish weight, while the rice field group was not fed. After 12 weeks, the fish were submitted to a 24 h period without food and anesthetized using MS-222 (USA, Sigma). The length and weight of 100 fish were measured for each treatment. For the rice field group and pond group, respectively, the lengths were (13.56±0.49) cm and (14.10±0.23) cm, and the weights were (73.19±7.02) g and (101.20±4.57) g. The muscle quality of 30 fish from each treatment was measured, including basic nutritional components, texture characteristics, and amino acid and fatty acid compositions. The nutritional level was compared between the pond and rice field groups using the FAO/WHO amino acid score, whole egg protein comparison, protein amino acid score (AAS), chemical score (CS), and essential amino acid index (EAAI). Moreover, no significant differences between the two culture methods were observed in relation to the total ash (P > 0.05). The crude protein and crude fat contents in the rice field group were significantly lower than in the pond group (P 0.05). Essential amino acids (EAA) in both groups met the FAO/WHO standard. Among the 18 amino acids measured, the total amino acids (TAA), delicious amino acids (DAA), essential and nonessential amino acids (NEAA) were significantly lower in rice field conditions than in pond (P 0.05). In contrast, the contents of linoleic, linolenic, and arachidonic acids in the pond group were significantly higher than those in the rice field group (P < 0.05), while 14 other fatty acids showed significantly lower contents in the pond group (P < 0.05). The monounsaturated fatty acid (MUFA) contents in the pond group were significantly higher (P < 0.05), while the EPA+DHA and n-3PUFA/n-6PUFA were significantly lower than those in the rice field group (P < 0.05). Overall, the contents of four main flavor amino acids (glutamic acid, glycine, alanine, and aspartic acid) in the rice field group were significantly lower than those in the pond group (P < 0.05). In conclusion, rice flower carp reared in both pond and rice field is a high-quality protein source. However, different cultural environments significantly influence the rice flower carp muscle nutritional value and quality, wherein a higher nutrient composition and amino acid score were observed in the pond environment. Concerning the fatty acids content, the muscle of rice flower carp reared in rice fields had higher EPA+DHA content and N-3/N-6 polyunsaturated fatty acid ratio, which is more suitable for people with hyperlipidemia and cardiovascular diseases. In addition, in terms of texture, the muscle of rice flower carp is chewier under the rice field rearing condition. Nevertheless, N-3PUFA shortages were observed in both culture conditions. Besides, fish in the pond group had better muscle nutrition than the rice field group. Different culture conditions can change rice flower carp's fatty acid composition and content to a certain extent, but none of the two conditions tested here could completely allay the lower N-3PUFA problem. Therefore, increasing the N-3PUFA content of rice flower carp is the key to improving its nutritional value, and pond culture conditions make this process easier to be manually controlled

WO_3–<i>x</i> Nanoplates Grown on Carbon Nanofibers for an Efficient Electrocatalytic Hydrogen Evolution Reaction

The search for non-noble metal catalysts with high activity for the hydrogen evolution reaction (HER) is crucial for efficient hydrogen production at low cost and on a large scale. Herein, we report a novel WO_3–<i>x</i> catalyst synthesized on carbon nanofiber mats (CFMs) by electrospinning and followed by a carbonization process in a tubal furnace. The morphology and composition of the catalysts were tailored via a simple method, and the hybrid catalyst mats were used directly as cathodes to investigate their HER performance. Notably, the as-prepared catalysts exhibit substantially enhanced activity for the HER, demonstrating a small overpotential, a high exchange current density, and a large cathodic current density. The remarkable electrocatalytic performances result from the poor crystallinity of WO_3–<i>x</i>, the high electrical conductivity of WO_3–<i>x</i>, and the use of electrospun CNFs. The present work outlines a straightforward approach for the synthesis of transition metal oxide (TMO)-based carbon nanofiber mats with promising applications for the HER

The Visual Object Tracking VOT2017 Challenge Results

The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website(1)

The Visual Object Tracking VOT2015 challenge results

The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website(1)

The Visual Object Tracking Vot2016 Challenge Results

The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.Wo