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Roughly, 50% of primary energy worldwide is rejected as waste heat over a wide range of temperatures. Waste heat above 573 K has the highest Carnot potential (> --> 50 %) to be converted to electricity due to higher Carnot efficiency. Thermoelectric (TE) materials have gained significant attention as potential candidates for efficient thermal energy conversion devices. Silicon nanowires (SiNWs) are promising materials for TE devices due to their unique electrical and thermal properties. In this study, we report the successful fabrication of high-quality double-sided SiNW arrays using advanced techniques. We engineered the double-sided structure to increase the surface area and the number of TE junctions, enhancing TE energy conversion efficiency. We also employed non-agglomeration wire tip engineering to ensure uniformity of the SiNWs and designed effective Ohmic contacts to improve overall TE efficiency. Additionally, we post-doped the double-sided SiNW arrays to achieve high electrical conductivity. Our results showed a significant improvement in the TE performance of the SiNW array devices, with a maximum figure-of-merit (ZT) value of 0.24 at 700 K, fabricated from the single SiNW with ZT of 0.71 at 700 K in our previous work [Yang et al., Nat. Commun. 12(1), 3926(2021)]. [ABSTRACT FROM AUTHOR]

Ischemia/reperfusion (I/R) injury with severe cell death is a major complication involved in liver transplantation and resection. The identification of key regulators improving hepatocyte activity may provide potential strategies to clinically resolve I/R-induced injury. N6-methyladenosine (m6A) RNA modification is essential for tissue homeostasis and pathogenesis. However, the potential involvement of m6A in the regulation of hepatocyte activity and liver injury has not been fully explored. In the present study, we found that hepatocyte AlkB homolog H5 (ALKBH5) levels were decreased both in vivo and in vitro I/R models. Hepatocyte-specific ALKBH5 overexpression effectively attenuated I/R-induced liver necrosis and improved cell proliferation in mice. Mechanistically, ALKBH5-mediated m6A demethylation improved the mRNA stability of YTH N6-methyladenosine RNA-binding protein 1 (YTHDF1), thereby increasing its expression, which consequently promoted the translation of Yes-associated protein (YAP). In conclusion, ALKBH5 is a regulator of hepatic I/R injury that improves hepatocyte repair and proliferation by maintaining YTHDF1 stability and YAP content. The ALKBH5–m6A–YTHDF1–YAP axis represents promising therapeutic targets for hepatic I/R injury to improve the prognosis of liver surgery. [ABSTRACT FROM AUTHOR]

Cellular heterogeneity plays a significant role in understanding biological processes, such as cell cycle and disease progression. Microfluidics has emerged as a versatile tool for manipulating single cells and analyzing their heterogeneity with the merits of precise fluid control, small sample consumption, easy integration, and high throughput. Specifically, integrating microfluidics with electrical techniques provides a rapid, label-free, and non-invasive way to investigate cellular heterogeneity at the single-cell level. Here, we review the recent development of microfluidic-based electrical strategies for single-cell manipulation and analysis, including dielectrophoresis- and electroporation-based single-cell manipulation, impedance- and AC electrokinetic-based methods, and electrochemical-based single-cell detection methods. Finally, the challenges and future perspectives of the microfluidic-based electrical techniques for single-cell analysis are proposed. [ABSTRACT FROM AUTHOR]

Background: Astragalus cicer L. is a perennial rhizomatous legume forage known for its quality, high biomass yield, and strong tolerance to saline-alkaline soils. Soil salinization is a widespread environmental pressure. To use A. cicer L. more scientifically and environmentally in agriculture and ecosystems, it is highly important to study the molecular response mechanism of A. cicer L. to salt stress. Results: In this study, we used RNA-seq technology and weighted gene coexpression network analysis (WGCNA) were performed. The results showed 4 key modules were closely related to the physiological response of A. cicer. L. to salt stress. The differentially expressed genes (DEGs) of key modules were mapped into the KEGG database, and found that the most abundant pathways were the plant hormone signal transduction pathway and carbon metabolism pathway. The potential regulatory networks of the cytokinin signal transduction pathway, the ethylene signal transduction pathway, and carbon metabolism related pathways were constructed according to the expression pathways of the DEGs. Seven hub genes in the key modules were selected and distributed among these pathways. They may involved in the positive regulation of cytokinin signaling and carbon metabolism in plant leaves, but limited the positive expression of ethylene signaling. Thus endowing the plant with salt tolerance in the early stage of salt stress. Conclusions: Based on the phenotypic and physiological responses of A. cicer L. to salt stress, this study constructed the gene coexpression network of potential regulation to salt stress in key modules, which provided a new reference for exploring the response mechanism of legumes to abiotic stress. [ABSTRACT FROM AUTHOR]

Relative humidity is an important parameter. The detection and control of humidity is of great significance for agriculture, new material development, biological research and protection, health services and other industrial and agricultural production. In this paper, a micro-nano photonic crystal fiber humidity sensor with U-shaped structure is proposed. Due to its probe structure, this structure can more conveniently realize the detection work. The experiment shows that this kind of optical sensor has good linearity in the humidity range of 42–62 RH%, and can realize the humidity sensing of 27.62 pm/RH%. The detection range of this kind of sensor is relatively wide, and can realize the optical fiber sensing in a larger humidity range. [ABSTRACT FROM AUTHOR]

Recommender systems are fundamental information filtering techniques to recommend content or items that meet users' personalities and potential needs. As a crucial solution to address the difficulty of user identification and unavailability of historical information, session-based recommender systems provide recommendation services that only rely on users' behaviors in the current session. However, most existing studies are not well-designed for modeling heterogeneous user behaviors and capturing the relationships between them in practical scenarios. To fill this gap, in this article, we propose a novel graph-based method, namely Heterogeneous Information Crossing on Graphs (HICG). HICG utilizes multiple types of user behaviors in the sessions to construct heterogeneous graphs, and captures users' current interests with their long-term preferences by effectively crossing the heterogeneous information on the graphs. In addition, we also propose an enhanced version, named HICG-CL, which incorporates the contrastive learning (CL) technique to enhance item representation ability. By utilizing the item co-occurrence relationships across different sessions, HICG-CL improves the recommendation performance of HICG. We conduct extensive experiments on three real-world recommendation datasets, and the results verify that (i) HICG achieves state-of-the-art performance by utilizing multiple types of behaviors on the heterogeneous graph. (ii) HICG-CL further significantly improves the recommendation performance of HICG by the proposed contrastive learning module. [ABSTRACT FROM AUTHOR]

Alkaline water splitting electrocatalysts have been studied for decades; however, many difficulties remain for commercialization, such as sluggish hydrogen evolution reaction (HER) kinetics and poor catalytic stability. Herein, by mimicking the bulk‐heterojunction morphology of conventional organic solar cells, a uniform 10 nm scale nanocube is reported that consists of subnanometer‐scale heterointerfaces between transition metal phosphides and oxides, which serves as an alkaline water splitting electrocatalyst; showing great performance and stability toward HER and oxygen evolution reaction (OER). Interestingly, the nanocube electrocatalyst reveals acid/alkaline independency from the synergistic effect of electrochemical HER (cobalt phosphide) and thermochemical water dissociation (cobalt oxide). From the spray coating process, nanocube electrocatalyst spreads uniformly on large scale (≈6.6 × 5.6 cm2) and is applied to alkaline water electrolyzers, stably delivering 600 mA cm−2 current for >100 h. The photovoltaic‐electrochemical (PV‐EC) system, including silicon PV cells, achieves 11.5% solar‐to‐hydrogen (STH) efficiency stably for >100 h. [ABSTRACT FROM AUTHOR]

Aqueous photoelectrochemical (PEC) cells have long been considered a promising technology to convert solar energy into hydrogen. However, the solar‐to‐H2 (STH) efficiency and cost‐effectiveness of PEC water splitting are significantly limited by sluggish oxygen evolution reaction (OER) kinetics and the low economic value of the produced O2, hindering the practical commercialization of PEC cells. Recently, organic upgrading PEC reactions, especially for alternative OERs, have received tremendous attention, which improves not only the STH efficiency but also the economic effectiveness of the overall reaction. In this review, PEC reaction fundamentals and reactant‐product cost analysis of organic upgrading reactions are briefly reviewed, recent advances made in organic upgrading reactions, which are categorized by their reactant substrates, such as methanol, ethanol, glycol, glycerol, and complex hydrocarbons, are then summarized and discussed. Finally, the current status, further outlooks, and challenges toward industrial applications are discussed. [ABSTRACT FROM AUTHOR]

Developing stable and efficient electrocatalysts is vital for boosting oxygen evolution reaction (OER) rates in sustainable hydrogen production. High-entropy oxides (HEOs) consist of five or more metal cations, providing opportunities to tune their catalytic properties toward high OER efficiency. This work combines theoretical and experimental studies to scrutinize the OER activity and stability for spinel-type HEOs. Density functional theory confirms that randomly mixed metal sites show thermodynamic stability, with intermediate adsorption energies displaying wider distributions due to mixing-induced equatorial strain in active metal-oxygen bonds. The rapid sol-flame method is employed to synthesize HEO, comprising five 3d-transition metal cations, which exhibits superior OER activity and durability under alkaline conditions, outperforming lower-entropy oxides, even with partial surface oxidations. The study highlights that the enhanced activity of HEO is primarily attributed to the mixing of multiple elements, leading to strain effects near the active site, as well as surface composition and coverage. Efficient and durable electrocatalysts are essential for boosting oxygen evolution reaction toward hydrogen production. Here, the authors report a combined theoretical and experimental study on high-entropy spinel oxide with element mixing and strains providing superior activity and stability. [ABSTRACT FROM AUTHOR]

Data‐driven, machine learning (ML)‐assisted approaches have been used to study structure‐property relationships at the atomic scale, which have greatly accelerated the screening process and new material discovery. However, such approaches are not easily applicable to modulating material properties of a soft material in a laboratory with specific ingredients. Moreover, it is desirable to relate material properties directly to the experimental recipes. Herein, a data‐driven approach to tailoring mechanical properties of a soft material is demonstrated using ML‐assisted predictions of mechanical properties based on experimental synthetic recipes. Polyurethane (PU) elastomer is used as a model soft material to demonstrate the approach and experimentally varied mechanical properties of the PU elastomer by modulating the mixing ratio between components of the elastomer. Twenty‐five experimental conditions are selected based on the design of experiment and use those data points to train a linear regression model. The resulting model takes desired mechanical properties as input and returns synthetic recipes of a soft material, which is subsequently validated by experiments. Lastly, the prediction accuracies of different machine learning algorithms is compared. It is believed that the approach is widely applicable to other material systems to establish experimental conditions and material property relationships for soft materials. [ABSTRACT FROM AUTHOR]

As the first defensive line for the safety management of hazardous chemicals, the relevant safety access system must be strictly controlled. This paper expounds the thinking and practice of safety access for hazardous chemicals towards the three directions of 'people', 'object' and 'environment'. Organizing safety education and training in a full, comprehensive and whole process, and combining the experimental safety risk emergency response plan with the personal subject is to achieve the safety access of 'people'. Purchasing hazardous chemicals in a accordance with the law as well as the fine ledger management, ensuring the clear source and usage flow is to achieve the safety access of 'object'. Implementing an environmental management system based on the '5S' management concept is to achieve 'environmental' safety access. Through multi-directional and multi-dimensional exploration, we will gradually establish and improve the safety access system for hazardous chemicals in laboratories, in order to provide effective and feasible solutions for the scientific management and safe use of hazardous chemicals in universities, aiming to prevent laboratory safety accidents. [ABSTRACT FROM AUTHOR]

Peach fruits are known to be highly susceptible to chilling injury (CI) during low-temperature storage, which has been linked to the level of sugar concentration in the fruit. In order to better understand the relationship between sugar metabolism and CI, we conducted a study examining the concentration of sucrose, fructose, and glucose in peach fruit with different sugar concentrations and examined their relationship with CI. Through transcriptome sequencing, we screened the functional genes and transcription factors (TFs) involved in the sugar metabolism pathway that may cause CI in peach fruit. Our results identified five key functional genes (PpSS, PpINV, PpMGAM, PpFRK, and PpHXK) and eight TFs (PpMYB1/3, PpMYB-related1, PpWRKY4, PpbZIP1/2/3, and PpbHLH2) that are associated with sugar metabolism and CI development. The analysis of co-expression network mapping and binding site prediction identified the most likely associations between these TFs and functional genes. This study provides insights into the metabolic and molecular mechanisms regulating sugar changes in peach fruit with different sugar concentrations and presents potential targets for breeding high-sugar and cold-tolerant peach varieties. [ABSTRACT FROM AUTHOR]

BACKGROUND: Blueberry contains an abundance of anthocyanins, which are a bioactive component of this fruit. Anthocyanins can be extracted via various methods, and each has pros and cons. OBJECTIVE: This current study reported the optimal conditions for the ultrasonic-assisted enzymatic extraction of blueberry anthocyanins simulated using response surface methodology (RSM) coupled with a genetic algorithm (GA). METHODS: The Box–Behnken design (BBD) was used for the RSM, and the extraction conditions were as follows: temperature, 42°C; ultrasonic power, 310 W; enzyme volume, 0.25%; and extraction time, 42 min. RESULTS: The maximum predicted extraction yield was 6.67 mg/g. The antioxidant activity of anthocyanins extracted via RSM and GA was based on the hydroxyl free radical activity and supersonic anion free radical activity of 230.50±12.76μg/ml and 4.41±0.36μg/ml, respectively. Anthocyanins exracted by the proposed method has stronger free radical removal capacity than that of Vc. CONCLUSIONS: This study shows that the combination of RSM with GA represents an optimized method for extracting blueberry anthocyanins for use in the food industry. This method can maintain high antioxidant potential and can be used as an alternative strategy for high-value products. [ABSTRACT FROM AUTHOR]

Copyright of Frontiers of Information Technology & Electronic Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A relative humidity (RH) sensor is reported based upon a photonic crystal fiber (PCF) – Mach-Zehnder interferometer (MZI) with a polyvinyl alcohol (PVA) coating. The structure for sensing was prepared by fusing photonic crystal fiber to two single-mode fibers (SMFs) and completely collapsing the air holes of photonic crystal fiber in the fusion area to act as the beam splitter and coupler. By a lifting method, two to four layers of polyvinyl alcohol films were coated upon the photonic crystal fiber to characterize the influence of its thickness upon the sensitivity of the device for relative humidity. The experimental results show that the maximum sensitivity of this relative humidity sensor is 51.9 pm/% when the photonic crystal fiber surface is coated with three layers of polyvinyl alcohol film. [ABSTRACT FROM AUTHOR]

In order to explore the effect of abscisic acid treatment on blueberry fruit during storage at low temperature stress, the Garden Blue blueberry were sprayed with 400, 600 µmol/L and 800 µmol/L abscisic acid solution, respectively. Firmness, total soluble solids content, membrane permeability, osmotic regulation substances, antioxidant substances content, antioxidant enzyme activity and other related physiological indexes were determined and principal component analysis and correlation analysis were carried out. The results showed that treated with 600 µmol/L abscisic acid then storage for 35 days, the firmness of blueberries decreased to 87.8 % of the control group, and the soluble solids increased to 103.2% of the control group. The relative conductivity was 5.05% lower than that of the control group, and the content of MDA was 90.7% lower than that of the control group. The content of proline and soluble protein increased by 1.16 and 1.4 times respectively compared to the control group. The activities of SOD, CAT and APX were 1.51, 1.26 and 1.18 times higher than those of the control group, and the contents of anthocyanin and AsA were 1.72 and 1.34 times higher than those of the control group. Maintaining high antioxidant enzyme activity and antioxidant content improves the cold resistance of blueberry fruit and helps to maintain the quality of blueberry fruit. Principal component analysis and correlation analysis showed that relative conductivity (REC), malondialdehyde (MDA), proline(Pro), and superoxide anion (O2.-) were closely related to the cold resistance of blueberry fruit, and could be used as indicators to evaluate the cold resistance. [ABSTRACT FROM AUTHOR]

Background: Laparoscopic right posterior sectionectomy (LRPS) was technically challenging and lack of standardization. There were some approaches for LRPS, such as caudal approach and dorsal approach. During our practice, we initiated pure LRPS using the caudodorsal approach with in situ split and present several advantages of this method. Methods: From April 2018 to December 2021, consecutive patients who underwent pure LRPS using the caudodorsal approach with in situ split at our institution entered into this retrospective study. The key point of the caudodorsal approach was that the right hepatic vein was exposed from peripheral branches toward the root and the parenchyma was transected from the dorsal side to ventral side. Specially, the right perihepatic ligaments were not divided to keep the right liver in situ before parenchymal dissection for each case. Results: 11 patients underwent pure LRPS using the caudodorsal approach with in situ split. There were 9 hepatocellular carcinoma, 1 sarcomatoid hepatocellular carcinoma, and 1 hepatic hemangioma. Five patients had mild cirrhosis and 1 had moderate cirrhosis. All the procedures were successfully completed laparoscopically. The median operative time was 375 min (range of 290–505 min) and the median blood loss was 300 ml (range of 100–1000 ml). Five patients received perioperative blood transfusion, of which 1 patient received autologous blood transfusion and 2 patients received blood transfusion due to preoperative moderate anemia. No procedure was converted to open surgery. Two patients who suffered from postoperative complications, improved after conservative treatments. The median postoperative stay was 11 days (range of 7–25 days). No postoperative bleeding, hepatic failure, and mortality occurred. Conclusion: The preliminary clinical effect of the caudodorsal approach with in situ split for LRPS was satisfactory. Our method was feasible and expected to provide ideas for the standardization of LRPS. Further researches are required due to some limitations of this study. [ABSTRACT FROM AUTHOR]

It is well accepted that close assembly between a fuel and an oxidizer can increase the interfacial contact-area and reduce the diffusion distances, which can significantly promote a heterogeneous reaction. However, we recently observed for nanocomposites of Al/PVDF (aluminum/polyvinylidene fluoride), that if we separated some of the PVDF to form a laminated structure, the flame propagation rate is significantly increased compared to the homogenous case. To probe the mechanism behind this, we used functionalized aluminum nanoparticles to create microsized aggregates of Al-rich and PVDF-rich regions to induce the inhomogeneity and also fabricated Al/PVDF laminate structure films to control the inhomogeneity systematically. The result demonstrates that the inhomogeneous mixing between Al and PVDF can significantly increase the flame front corrugation (burning area). This presumably occurs due to variations in the microburn rate (local burn velocity vectors at the flame front on the microscale). The benefit of the enhanced flame area can apparently overcome the effects of the decrease in the contact area, leading to enhanced burning for an inhomogeneously mixed system. Finally, fluorocarbon functionalization of Al particles can further increase the microburn rate. [ABSTRACT FROM AUTHOR]

Objective: Thyroid cancer (TC) is an extremely prevailing malignant endocrine tumor. Therefore, effective diagnostic tools are necessary. This study explored the application value of dual‐source computed tomography (DSCT) in TC diagnosis and biological behavior assessment. Methods: This study retrospectively selected 68 TC patients and another 74 benign patients with thyroid adenoma, nodular goiter, or adenomatous hyperplasia. All patients were confirmed by pathological examination and underwent DSCT examination. The iodine concentration (IC) obtained from plain computed tomography (CT) scanning and normalized iodine concentration (NIC) in the arterial phase and venous phase were recorded. The positive expression rates of estrogen receptor alpha (ERα), estrogen receptors beta (ERβ), and Ki67 in pathological tissues were determined by immunohistochemistry, and their correlation with IC in plain CT was assessed by Pearson correlation analysis, respectively. The diagnostic values of IC in plain CT and venous phase NIC in TC patients were evaluated using the receiver operating characteristic curve. Results: Malignant patients had lower IC in plain DSCT scanning, venous phase NIC, and ERβ, and higher ERα and Ki67 than benign patients. IC level in plain DSCT scanning was inversely‐correlated with ERα and Ki‐67 positive expression rates, but positively‐related to ERβ to different degrees. For the diagnosis of TC patients, the AUC of IC level in plain DSCT was 0.771, with a cut‐off value of 1.250 (97.06% sensitivity and 41.89% specificity), and the AUC of venous phase NIC was 0.738, with a cut‐off value of 0.825 (100% sensitivity and 43.24% specificity). Conclusion: The IC level obtained from DSCT scanning could assist in the differential diagnosis of malignant and benign thyroid nodules and evaluation of biological behaviors. [ABSTRACT FROM AUTHOR]

A multifaceted Mo:BiVO4 (mf‐BVO) photoanode is grown on F‐doped‐SnO2 substrates via achemical bath deposition, and the crystal reconstruction process of mf‐BVO is found to boost the charge transport efficiency significantly for photoelectrochemical (PEC) water splitting. The mf‐BVO exhibits columnar grains with an uncommon (121) texture with high‐index facets such as (112), (020), (132), and (204). The texture and high‐index facets facilitate rapid surface melting and grain fusion during thermal annealing, thus leading to crystal reconstructed micron‐sized BVO grains (cr‐BVO). The cr‐BVO has a photocurrent density ≈50 times larger than that of mf‐BVO. The reason is identified as the significantly improved charge transport efficiency resulting from the dopant activation (increased carrier concentration) and bulky grains (fewer defects). Additionally, the cr‐BVO exhibits improved photocorrosion resistance compared to the nanoparticle‐based BVO. After coating the oxygen evolution catalyst, the photocurrent density of cr‐BVO is further increased to 4.4 mA cm−2 for water oxidation reaction at 1.23 V versus the reversible hydrogen electrode, maintaining a high and stable faradaic efficiency of over 88% for 24 h. These results demonstrate that crystal reconstruction is a facile and effective pathway to improve the charge transport efficiency, opening a new avenue for developing efficient photoelectrodes for PEC water splitting. [ABSTRACT FROM AUTHOR]

Copyright of Frontiers of Information Technology & Electronic Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Electrochemical two-electron water oxidation reaction (2e-WOR) has drawn significant attention as a promising process to achieve the continuous on-site production of hydrogen peroxide (H2O2). However, compared to the cathodic H2O2 generation, the anodic 2e-WOR is more challenging to establish catalysts due to the severe oxidizing environment. In this study, we combine density functional theory (DFT) calculations with experiments to discover a stable and efficient perovskite catalyst for the anodic 2e-WOR. Our theoretical screening efforts identify LaAlO3 perovskite as a stable, active, and selective candidate for catalyzing 2e-WOR. Our experimental results verify that LaAlO3 achieves an overpotential of 510 mV at 10 mA cm−2 in 4 M K2CO3/KHCO3, lower than those of many reported metal oxide catalysts. In addition, LaAlO3 maintains a stable H2O2 Faradaic efficiency with only a 3% decrease after 3 h at 2.7 V vs. RHE. This computation-experiment synergistic approach introduces another effective direction to discover promising catalysts for the harsh anodic 2e-WOR towards H2O2. Hydrogen peroxide production from water electrochemical oxidation is a challenging process. Here the authors report discovery of LaAlO3 after screening a series of perovskites as active, stable, and selective catalyst for electrochemical H2O2 production from water oxidation. [ABSTRACT FROM AUTHOR]

The plant hormone ABA regulates various physiological processes, such as promoting stomatal closure and inhibiting hypocotyl elongation by mediating de-phosphorylation of H+-ATPase. However, the mechanism acting on ABA-induced de-phosphorylation of H+-ATPase remains largely unknown. SMALL AUXIN UP RNAs (SAURs), the largest family of early auxin-response genes, were well-reported to bind to and inhibit PP2C.D phosphatases to maintain plasma membrane H+-ATPase activity. In this study, we aimed to investigate whether SAUR-PP2C.D functional modules were involved in ABA-mediated inhibition of hypocotyl elongation. Here, we show that ABA suppresses hypocotyl elongation in both light-grown and dark-grown tomato seedlings in a dose-dependent manner. Hypocotyl elongation of dark-grown seedlings was more sensitive to ABA compared to that of light-grown seedlings. ABA upregulates seven SlPP2C.D genes. SlPP2C.D1 was highly expressed in hypocotyl and upregulated by light. Y2H data showed SlPP2C.D1 interacted with SlSAUR2, 35, 40, 55, 57, 59, 65, and 70. The other four SlPP2C.Ds were also associated with a subset of SAUR proteins. Our findings have provided new insights for further examination on the SAUR-PP2C.D modules that regulate outputs of ABA and other phytohormones controlling plant growth and development. [ABSTRACT FROM AUTHOR]

Changes in quality attributes, ascorbate‐glutathione (AsA‐GSH) cycle, and melatonin (MLT) synthesis were evaluated in cherry tomato fruit treated with MLT solution at 0.1 mM during storage at room temperature for 16 days. According to the results, the MLT treatment was beneficial to maintaining fruit quality as indicated by the declines in weight loss, fruit decay, and titratable acid (TA), accompanied by the maintenance of fruit firmness, total soluble solids (TSS) as well as TSS/TA ratio. Also, the MLT treatment not only effectively inhibited oxidative damage via reducing relative electrolyte leakage and malondialdehyde content, but also improved antioxidant capacity via stimulating AsA‐GSH cycle. Moreover, the MLT treatment promoted endogenous MLT synthesis by upregulating the expressions of biosynthetic genes consisting of SlTDC, SlT5H, SlSNAT, and SlASMLT. Thus, our results suggested that the MLT treatment might be involved in maintaining quality in cherry tomato fruit during room temperature by promoting antioxidant capacity and enhancing endogenous MLT. Practical applications: As a typical climacteric fruit, cherry tomato fruit ripen rapidly and are easily infected by various pathogenic fungi during storage under ambient conditions, which leads to short storage life and a decrease in economic value. The results showed that the application of MLT maintained cherry tomato quality via improving antioxidant capacities and enhancing endogenous MLT. Therefore, MLT treatment could become a promising postharvest strategy for quality maintenance in cherry tomatoes during room storage. [ABSTRACT FROM AUTHOR]

The traditional quantitative analysis methods of ascorbic acid (AA), which require expensive equipment, a large amount of samples and professional technicians, are usually complex and time-consuming. A low-cost and high-efficiency AA detection device is reported in this work. It integrates a three-electrode sensor module prepared by screen printing technology, and a microfluidic chip with a finger-actuated micropump peeled from the liquid-crystal display (LCD) 3D printing resin molds. The AA detection process on this device is easy to operate. On-chip detection has been demonstrated to be 2.48 times more sensitive than off-chip detection and requires only a microliter-scale sample volume, which is much smaller than that required in traditional electrochemical methods. Experiments show that the sample and buffer can be fully mixed in the microchannel, which is consistent with the numerical simulation results wherein the mixing efficiency is greater than 90%. Commercially available tablets and beverages are also tested, and the result shows the reliability and accuracy of the device, demonstrating its broad application prospects in the field of point-of-care testing (POCT). [ABSTRACT FROM AUTHOR]

Multi-port spatial permanent magnet synchronous motor (MSPMSM) combines the advantages of disk motor and permanent magnet (PM) planetary gear drive, which solves the problem of single output port on traditional PM synchronous motor (PMSM) and realizes multi-port outputs and direct drive. Due to the special structure of disk stator, the planetary gear rotors are affected by end-effect torque in rotation process. The end-effect torque will not only cause torque ripple but also cause vibration and noise. Aiming at the problem of end-effect torque, the generation mechanism of end-effect torque is analyzed. In order to analyze air-gap magnetic field distribution accurately, the arc slotless subdomain (SD) model of planetary gear rotor and disk stator is established in polar coordinate system. The end-effect torque is derived by the Maxwell stress tensor method. Based on Box–Behnken design (BBD) method, a response surface model (RSM) is constructed to reduce end-effect torque amplitude and increase electromagnetic torque. The influences of structural parameters on end-effect torque amplitude are analyzed, and a set of optimal structural parameters are obtained. The end-effect torque and electromagnetic torque of the optimized MSPMSM are analyzed by finite-element analysis method (FEM), and the effectiveness of multi-objective optimization design method is verified. These research results have a good effect on improving the output performance of MSPMSM. [ABSTRACT FROM AUTHOR]

Backgrounds: Although drug-eluting stents are the most common interventional devices for patients with coronary disease, drug-coated balloons (DCBs) represent a novel therapeutic alternative in certain scenarios. This prospective, observational all-comers study explored the clinical outcomes of DCB use in patients with coronary lesions. Methods and results: All patients treated with DCBs were enrolled in this study, including patients with in-stent restenosis (ISR) or de novo lesions. The primary outcome was the target lesion revascularization (TLR) rate at one year. We enrolled 2306 patients with 2660 lesions and performed DCB angioplasty in 399 patients (17.3%) with ISR and 1907 patients (82.7%) with de novo lesions. During follow-up (366 ± 46 days), the TLR rate was lower in the de novo lesion group (1.31%) compared to the ISR group (7.02%) [odds ratio (OR) 0.176, 95% confidence interval (CI) 0.101–0.305, p < 0.001]. Patients with de novo lesions had a lower yearly incidence of MACE compared to ISR patients (2.73 vs. 9.27%, respectively, OR 0.274, 95% CI 0.177–0.424, p < 0.001) and a lower incidence of any revascularization (5.09 vs. 13.03%, OR 0.358, 95% CI 0.251–0.510, p < 0.001). No significant differences between groups were observed in the rates of cardiac death (OR 0.783, 95% CI 0.258–2.371, p = 0.655) or MI (OR 0.696, 95% CI 0.191–2.540, p = 0.573). Conclusions: DCB angioplasty in this all-comers, real-world, prospective study was safe and efficient with low TLR and MACE rates. Thus, DCB appears to be an attractive alternative for the stent-less treatment of de novo coronary lesions. ISR in-stent restenosis; OR odds ratio; CI confidence interval; TLR target lesion revascularization; MACE major adverse cardiovascular events; MI myocardial infraction. MACE defined as the composite outcome of cardiac death, myocardial infarction, and target vessel revascularization. Any revascularization includes any percutaneous coronary intervention, and coronary artery bypass grafting. [ABSTRACT FROM AUTHOR]

Implicit feedback is widely used in collaborative filtering methods for sequential recommendation. It is well known that implicit feedback contains a large number of values that are missing not at random (MNAR); and the missing data is a mixture of negative and unknown feedback, making it difficult to learn users’ negative preferences. Recent studies modeled exposure, a latent missingness variable which indicates whether an item is exposed to a user, to give each missing entry a confidence of being negative feedback. However, these studies use static models and ignore the information in temporal dependencies among items, which seems to be an essential underlying factor to subsequent missingness. To model and exploit the dynamics of missingness, we propose a latent variable named “user intent ” to govern the temporal changes of item missingness, and a hidden Markov model to represent such a process. The resulting framework captures the dynamic item missingness and incorporates it into matrix factorization (MF) for recommendation. We further extend the proposed framework to capture the dynamic preference of users, which results in a unified framework that is able to model different evolution patterns of user intent and user preference. We also explore two types of constraints to achieve a more compact and interpretable representation of user intents. Experiments on real-world datasets demonstrate the superiority of our method against state-of-the-art recommender systems. [ABSTRACT FROM AUTHOR]

Background: The revascularization of small vessels using drug-eluting stents remains challenging. The use of the drug-coated balloon is an attractive therapeutic strategy in de novo lesions in small coronary vessels, particularly in the diabetic group. This study aimed to assess the outcomes of DCB-only angioplasty in small vessel disease.Methods: A total of 1198 patients with small vessel disease treated with DCB-only strategy were followed. Patients were divided into the diabetic and nondiabetic groups. Clinical and angiographical follow-up were organized at 12 months. The primary endpoints were target lesion failure and secondary major adverse cardiac events.Results: There was a significantly higher rate of target lesion failure among diabetic patients compared to nondiabetic [17 (3.9%) vs. 11 (1.4%), P=0.006], taken separately, the rate of target lesion revascularization significantly differed between groups with a higher rate observed in the diabetic group [9 (2%) vs. 4 (0.5%), P=0.014]. Diabetes mellitus remained an independent predictor for TLF (HR: 2.712, CI: 1.254-5.864, P=0.011) and target lesion revascularization (HR: 3.698, CI: 1.112-12.298, P=0.033) after adjustment. However, no significant differences were observed between groups regarding the target vessel myocardial infarction (0.6% vs. 0.1%, P=0.110) and MACE [19 (4.4%) vs. 21 (2.7%), P=0.120].Conclusion: Drug-coated balloon-only treatment achieved lower incidence rates of TLF and MACE. Diabetes is an independent predictor for target lesion failure and target lesion revascularization at one year following DCB treatment in small coronary vessels. We observed no significant differences between groups regarding MACE in one year. [ABSTRACT FROM AUTHOR]

Two dissimilar hydrogel layers bonded together become unstable when the compressive stresses due to diffusion-driven swelling of the layers reach a critical point and creases form at the interface. Although creasing instabilities observed on surfaces of soft solids subjected to large compressions are well studied, the transient nature and critical conditions for the emergence of interface creases as a result of swelling behavior of hydrogels remain elusive. Here, we investigate the formation and transient growth of interface creases in bilayer hydrogels through experimental and computational approaches. Equipped with a mixed isogeometric analysis that accounts for large swelling deformations along with dissipative fluid transport phenomena, we show that both the equilibrium and the transient characteristics of interface creases can be tuned by controlling the material properties, in contrast to the reported material-independent behavior of creases in elastomers. The effects of material parameters on the onset and growth of interface creases are quantified in terms of the critical swelling ratio and critical chemical potential, and these values are compared to the critical conditions for the emergence of wrinkling instabilities. In agreement with our experimental observations of swelling bilayer hydrogels, our computational results demonstrate that the formation of creases is energetically more favorable than wrinkle formation at the interface. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to develop a new method to treat the numerical singularity at the critical nodes of two skew coordinates, and optimize the leakage of micro herringbone grooved journal bearings (MHGJBs) with this method. Design/methodology/approach: A side leakage numerical algorithm is proposed by using the skew meshes with a virtual node (SMVN) method to evaluate the effects of groove angle, bank/groove ratio, groove depth and groove number on load capacity, friction and side leakage of MHGJB. Findings: The SMVN method is effective in treating the numerical singularity at the critical nodes of two skew coordinates. Besides, a group of optimized parameters of micro herringbone groove is obtained which can not only minimize the side leakage but also improve the load capacity and friction force. Originality/value: A virtual node method was proposed, which can significantly improve the calculation accuracy in the side leakage model. [ABSTRACT FROM AUTHOR]

Background. Relative to nondiabetic patients, percutaneous coronary intervention (PCI) in patients with diabetes mellitus (DM) is associated with inferior clinical outcomes. We aimed to evaluate the outcomes of drug-coated balloon (DCB) in diabetic versus nondiabetic patients. Methods and Results. In this observational, prospective, multicenter study, we compared the outcomes of patients with and without DM after undergoing PCI with DCBs. Target lesion failure (TLF) was analyzed as primary endpoint. Secondary endpoints were the rates of target lesion revascularization (TLR), major adverse cardiovascular events (MACE), cardiac death, myocardial infarction (MI), and any revascularization. Propensity score matching was used to assemble a cohort of patients with similar baseline characteristics. Among 2,306 eligible patients, 578 with DM and 578 without DM had similar propensity scores and were included in the analyses. During follow-up (366 ± 46 days), compared with DM patients, patients without DM were associated with a lower yearly incidence of TLF (2.77% vs. 5.36%; OR, 1.991; 95% CI, 1.077 to 3.681; P = 0.025) and TLR (1.90% vs. 4.15%; OR, 2.233; 95% CI, 1.083 to 4.602; P = 0.026). No significant differences were observed with regards to rates of MACE (OR: 1.580, 95% CI: 0.912-2.735; P = 0.100), cardiac death (OR: 1.608, 95% CI: 0.523-4.946; P = 0.403), MI (OR: 4.042, 95% CI: 0.855-19.117; P = 0.057), and any revascularization (OR: 1.534, 95% CI: 0.983-2.393; P = 0.058). Conclusions. Diabetic patients experience higher TLF and TLR rates following DCB angioplasty without substantial increase in the risk of MACE, cardiac death, MI, or revascularization. [ABSTRACT FROM AUTHOR]

Thermoelectrics operating at high temperature can cost-effectively convert waste heat and compete with other zero-carbon technologies. Among different high-temperature thermoelectrics materials, silicon nanowires possess the combined attributes of cost effectiveness and mature manufacturing infrastructures. Despite significant breakthroughs in silicon nanowires based thermoelectrics for waste heat conversion, the figure of merit (ZT) or operating temperature has remained low. Here, we report the synthesis of large-area, wafer-scale arrays of porous silicon nanowires with ultra-thin Si crystallite size of ~4 nm. Concurrent measurements of thermal conductivity (κ), electrical conductivity (σ), and Seebeck coefficient (S) on the same nanowire show a ZT of 0.71 at 700 K, which is more than ~18 times higher than bulk Si. This ZT value is more than two times higher than any nanostructured Si-based thermoelectrics reported in the literature at 700 K. Experimental data and theoretical modeling demonstrate that this work has the potential to achieve a ZT of ~1 at 1000 K. Performance of Si nanowires as thermoelectrics are evaluated only from cryogenic to ambient temperatures and ZT has remained low. Here, the authors systematically optimized the synthesis method and improved the suspended microdevice platform to achieve high-performance thermoelectrics up to 700 K. [ABSTRACT FROM AUTHOR]

BACKGROUND: Plums tend to experience a reduction in fruit quality due to ripening and they deteriorate quickly during storage at room temperature. Benzothiadiazole (BTH) is a plant elicitor capable of inducing disease resistance in many crops. In this study, the effect of BTH treatment on fruit ripening, fruit quality, and anthocyanin biosynthesis in 'Taoxingli' plum was investigated. RESULTS: The results showed that BTH treatment could accelerate fruit ripening without affecting the incidence of fruit decay or the shelf life. Benzothiadiazole treatment improved the quality and consumer acceptability of 'Taoxingli' plums during storage by increasing the sweetness, red color formation, and the concentration of healthy antioxidant compounds. The BTH treatment could also effectively promote the biosynthesis of anthocyanin by enhancing the enzyme activities of phenylalanine ammonia‐lyase (PAL), dihydroflavonol 4‐reductase (DFR), anthocyanidin synthase (ANS), and uridine diphosphate flavonoid 3‐O‐glucosyltransferase (UFGT) and up‐regulating the gene expressions of PsPAL, PsCHI, PsDFR, PsANS, and PsUFGT during storage. CONCLUSION: Benzothiadiazole treatment could be a potential postharvest technology for improving fruit quality and consumer acceptability in harvested plum fruit. © 2020 Society of Chemical Industry [ABSTRACT FROM AUTHOR]

Monolayer MoS2 is a promising semiconductor to overcome the physical dimension limits of microelectronic devices. Understanding the thermochemical stability of MoS2 is essential since these devices generate heat and are susceptible to oxidative environments. Herein, the promoting effect of molybdenum oxides (MoOx) particles on the thermal oxidation of MoS2 monolayers is shown by employing operando X‐ray absorption spectroscopy, ex situ scanning electron microscopy and X‐ray photoelectron spectroscopy. The study demonstrates that chemical vapor deposition‐grown MoS2 monolayers contain intrinsic MoOx and are quickly oxidized at 100 °C (3 vol% O2/He), in contrast to previously reported oxidation thresholds (e.g., 250 °C, t ≤ 1 h in the air). Otherwise, removing MoOx increases the thermal oxidation onset temperature of monolayer MoS2 to 300 °C. These results indicate that MoOx promote oxidation. An oxide‐free lattice is critical to the long‐term stability of monolayer MoS2 in state‐of‐the‐art 2D electronic, optical, and catalytic applications. [ABSTRACT FROM AUTHOR]

Deep brain stimulation (DBS) is a neurosurgical technique that regulates neuron activity by using internal pulse generators to electrodes in specific target areas of the brain. As a blind treatment, DBS is widely used in the field of mental and neurological diseases, although its mechanism of action is still unclear. In the past 10 years, DBS has shown a certain positive effect in animal models and patients with Alzheimer's disease (AD), but there are also different results that may be related to the stimulation parameters of DBS. Based on this, determining the optimal stimulation parameters for DBS in AD and understanding its mechanism of action are essential to promote the clinical application of DBS in AD. This review aims to explore the therapeutic effect of DBS in AD, and to analyze its stimulation parameters and potential mechanism of action. The keywords "Deep brain stimulation" and "Alzheimer's Disease" were used for systematic searches in the literature databases of Web of Science and PubMed (from 1900 to September 29, 2020). All human clinical studies and animal studies were reported in English, including individual case studies and long-term follow-up studies, were included. These studies described the therapeutic effects of DBS in AD. The results included 16 human clinical studies and 14 animal studies, of which 28 studies clearly demonstrated the positive effect of DBS in AD. We analyzed the current stimulation parameters of DBS in AD from stimulation target, stimulation frequency, stimulation start time, stimulation duration, unilateral/bilateral treatment and current intensity, etc., and we also discussed its potential mechanism of action from multiple aspects, including regulating related neural networks, promoting nerve oscillation, reducing β-amyloid and tau levels, reducing neuroinflammation, regulating the cholinergic system, inducing the synthesis of nerve growth factor. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to evaluate the tribological behavior of water-lubricated rubber bearings sliding against stainless steel under different lubricate conditions. Design/methodology/approach: The water-lubricated rubber bearings under various normal loads and sliding speeds were carried out on the ring-block friction test, and the wear morphology is test conducted by using scanning electron microscope. Findings: The results indicate that the surface of water-lubricated rubber bearings has a more alternative friction coefficient and wear rate under seawater than other lubricate conditions. The seawater not only acts as a lubricating medium but also brings microstructure while corroding the rubber interface, thereby further enhancing the lubricating effect and storing abrasive debris. Originality/value: In this paper, tribological properties of the water-lubricated rubber bearing on ring-block friction test has been investigated. Water-lubricated rubber bearing was carried out on various lubricate conditions, and the friction coefficient, wear rate and worn surface were analyzed. Also, the effects of sliding speeds were investigated. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2020-0204/ [ABSTRACT FROM AUTHOR]

Purpose: The tribological behavior, i.e. friction coefficient and wear rate, and vibration characteristics of the water-lubricated bearing was investigated. The water-lubricated bearing is made of three different materials, i.e. polyether-ether-ketone (PEEK), polyimide (PI) and nitrile-butadiene rubber (NBR). Design/methodology/approach: The tribological behavior was investigated experimentally on a specially designed test rig. Three vibration sensors were used to record the vibration of the bearing. Findings: The results indicated that the variation of friction coefficient with rotation speed agrees well with the trend of Stribeck curve. The tested friction coefficient of rubber bearing is higher than that of the other two bearings whether it is in the state of mixed-lubrication or hydrodynamic lubrication, and which causing a larger wear rate in rubber bearing. The PEEK bearing exhibits the best tribological properties due to it has smaller friction coefficient and wear rate. However, it can be found that the rubber bearing gives the minimum vibration acceleration, which means that the rubber bearing has the most potential to improve the stability of water-lubricated bearing rotor system. Originality/value: In this study, a group of experiment studies conducted on a specially designed test rig. The comprehensive performance, including friction coefficient, vibration acceleration and wear rate, of water-lubricated bearing with three different materials, i.e. PEEK, PI and NBR, was compared systematically. The experiment research may offer a reference for the selection of material in water-lubricated bearing in specific operating conditions. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2019-0447/ [ABSTRACT FROM AUTHOR]

The expected high performance of graphene-based electronics is often hindered by lack of adequate doping, which causes low carrier density and large sheet resistance. Many reported graphene doping schemes also suffer from instability or incompatibility with existing semiconductor processing. Here we report ultrahigh and stable ${p}$ -type doping up to $\sim 7\times 10 ^{13}$ cm−2 ($\sim 2\times 10 ^{21}$ cm−3) of monolayer graphene grown by chemical vapor deposition. This is achieved by direct polycrystalline MoO3 growth on graphene using a rapid flame synthesis technique. With this approach, the metal-graphene contact resistance for holes is reduced to $\sim 200~\Omega \cdot \mu \text{m}$. We also demonstrate that flame-deposited MoO3 provides over $5\times $ higher doping of graphene, as well as superior thermal and long-term stability, compared to electron-beam deposited MoO3. [ABSTRACT FROM AUTHOR]

Point-of-Interest (POI) recommendation has been extensively studied and successfully applied in industry recently. However, most existing approaches build centralized models on the basis of collecting users' data. Both private data and models are held by the recommender, which causes serious privacy concerns. In this article, we propose a novel Privacy preserving POI Recommendation (PriRec) framework. First, to protect data privacy, users' private data (features and actions) are kept on their own side, e.g., Cellphone or Pad. Meanwhile, the public data that need to be accessed by all the users are kept by the recommender to reduce the storage costs of users' devices. Those public data include: (1) static data only related to the status of POI, such as POI categories, and (2) dynamic data dependent on user-POI actions such as visited counts. The dynamic data could be sensitive, and we develop local differential privacy techniques to release such data to the public with privacy guarantees. Second, PriRec follows the representations of Factorization Machine (FM) that consists of a linear model and the feature interaction model. To protect the model privacy, the linear models are saved on the users' side, and we propose a secure decentralized gradient descent protocol for users to learn it collaboratively. The feature interaction model is kept by the recommender since there is no privacy risk, and we adopt a secure aggregation strategy in a federated learning paradigm to learn it. To this end, PriRec keeps users' private raw data and models in users' own hands, and protects user privacy to a large extent. We apply PriRec in real-world datasets, and comprehensive experiments demonstrate that, compared with FM, PriRec achieves comparable or even better recommendation accuracy. [ABSTRACT FROM AUTHOR]

Summary: Papaya (Carica papaya L.) is a commercially important fruit crop. Various phytohormones, particularly ethylene and auxin, control papaya fruit ripening. However, little is known about the interaction between auxin and ethylene signaling during the fruit ripening process. In the present study, we determined that the interaction between the CpARF2 and CpEIL1 mediates the interaction between auxin and ethylene signaling to regulate fruit ripening in papaya. We identified the ethylene‐induced auxin response factor CpARF2 and demonstrated that it is essential for fruit ripening in papaya. CpARF2 interacts with an important ethylene signal transcription factor CpEIL1, thus increasing the CpEIL1‐mediated transcription of the fruit ripening‐associated genes CpACS1, CpACO1, CpXTH12 and CpPE51. Moreover, CpEIL1 is ubiquitinated by CpEBF1 and is degraded through the 26S proteasome pathway. However, CpARF2 weakens the CpEBF1–CpEIL1 interaction and interferes with CpEBF1‐mediated degradation of CpEIL1, promoting fruit ripening. Therefore, CpARF2 functions as an integrator in the auxin–ethylene interaction and regulates fruit ripening by stabilizing CpEIL1 protein and promoting the transcriptional activity of CpEIL1. To our knowledge, we have revealed a novel module of CpARF2/CpEIL1/CpEBF1 that fine‐tune fruit ripening in papaya. Manipulating this mechanism could help growers tightly control papaya fruit ripening and prolong shelf life. Significance Statement: The interaction between auxin and ethylene signaling during the fruit ripening process of papaya remains largely unknown. A novel module of CpARF2/CpEIL1/CpEBF1 was reported to be involved in the ethylene‐mediated ripening process. [ABSTRACT FROM AUTHOR]

In this paper, the effects of 1‐methylcyclopropene (1‐MCP) treatment on the ethanol accumulation and mitochondrial energy metabolism in kiwifruit (Actinidia deliciosa) cv. "Bruno" were investigated during storage at room temperature (24 ± 1°C). The results showed that 1‐MCP treatment significantly reduced the ethanol accumulation, maintained higher levels of adenosine triphosphate (ATP) content and energy charge (EC), enhanced enzymes activities involved in mitochondrial energy metabolism, such as succinic dehydrogenase, cytochrome C oxidase, H+‐adenosine triphosphatase (H+‐ATPase), and Ca2+‐adenosine triphosphatase (Ca2+‐ATPase), and regulated the NADH/NAD+ ratio, and pyruvate to tricarboxylic acid cycle (TCA) by suppressing the glutamate–pyruvate transaminase and promoting the pyruvate dehydrogenase activity, and decarboxylation of citric acid in harvested kiwifruit. These shifts in mitochondrial energy metabolism and oxidative phosphorylation correlated the higher ATP yield and an elevated EC with lower ethanol accumulation (13.71% of those in the control fruit) under 1‐MCP treatment, and reduced the susceptibility of ethanol related off‐flavor disorder in kiwifruit during storage. Practical applications: A kiwifruit (Actinidia deliciosa) cv. "Bruno," a major cultivated kiwifruit in China, is prone to accumulate ethanol sharply after respiratory climacteric during storage. Ethanol has been accounted as a vital aroma volatile metabolite in various fruits. However, over accumulation of ethanol often leads to the development of alcohol off‐flavor disorder, particularly in typical climacteric fruit such as kiwifruit. This work was aimed to maintain the flavor quality of kiwifruit cv. "Bruno" via improving the mitochondrial energy metabolism and functional TCA cycle, and limiting the ethanol accumulation under 1‐MCP treatment. Thus, 1‐MCP treatment could be beneficial to prevent the occurrence of alcohol off‐flavor disorder along with sustainment of the flavor quality of kiwifruit cv. "Bruno" during storage at room temperature. [ABSTRACT FROM AUTHOR]

On-demand hydrogen generation is desired for fuel cells, energy storage, and clean energy applications. Silicon nanowires (SiNWs) and nanoparticles (SiNPs) have been reported to generate hydrogen by reacting with water, but these processes usually require external assistance, such as light, electricity or catalysts. Herein, we demonstrate that a porous SiNWs array, which is fabricated via the metal-assisted anodic etching (MAAE) method, reacts with water under ambient and dark conditions without any energy inputs. The reaction between the SiNWs and water generates hydrogen at a rate that is about ten times faster than the reported rates of other Si nanostructures. Two possible sources of enhancement are discussed: SiNWs maintain their high specific surface area as they don't agglomerate, and the intrinsic strain of the nanowires promotes the reactivity. Moreover, the porous SiNWs array is portable, reusable, and environmentally friendly, yielding a promising route to produce hydrogen in a distributed manner. [ABSTRACT FROM AUTHOR]

Introduction: In this study we investigated whether burst-modulated wide-pulse neuromuscular electrical stimulation (NMES) can improve the H-reflex and activation efficiency of sensory fibers.Methods: NMES-induced electromyography (EMG) was recorded from hindpaw plantar muscles in 11 anesthetized rats. A burst-modulated wide pulse (mWP) with three carrier frequencies (2 kHz, 5 kHz, and 10 kHz) and a continuous wide-pulse (WP) were delivered to the tibial nerve of each rat. The evoked Hoffman (H)-reflexes were measured to evaluate nerve activation efficiency using the H-reflex recruitment curve (HRC).Results: Relative to WP simulation, mWP stimulation required less electrical charge to excite sensory fibers and improved the H-reflex recruitment. Greater electrical charge and smaller recruitment gains were obtained with increased carrier frequency of mWP.Discussion: mWP NMES can improve stimulation efficiency and improve recruitment of sensory fibers on tibial nerve stimulation, which may help to optimize NMES stimulus parameters. [ABSTRACT FROM AUTHOR]

The aim of this study is to establish a real-time self-adjusting calibration algorithm to compensate for signal drift and sensitivity attenuation of subcutaneous implantable glucose sensors. A real-time self-adjusting in vivo calibration method was designed based on the one-point calibration model. The current signal was compensated in real-time and the sensitivity was calibrated regularly. The least squares method was used to fit the initial parameters of the model, and then, the in vivo monitored current data was calibrated. Comparing with the mean absolute relative difference (MARD) of the blood glucose concentration by the traditional one-point calibration model (22.85 ± 5.76%), the MARD of the blood glucose concentration calibrated by the real-time self-adjusting in vivo calibration method was 6.28 ± 2.31%. The accuracy of the dynamic blood glucose monitoring was effectively improved. This calibration algorithm could compensate the signal drift in real time and correct sensitivity regularly to improve the accuracy of dynamic glucose monitoring, thus significantly enhancing diabetic self-management. [ABSTRACT FROM AUTHOR]

Background: Porcine circovirus type 2 (PCV2) is the causative agent of porcine circovirus-associated disease (PCVAD). Its prevalence in swine herds was first reported in China in 2000. PCV2 infection causes immunosuppression that leads to multiple diseases, causing serious economic problems for the swine industry in China. Since information on the genetic variation of PCV2 in Yunnan province is limited, this study aims to investigate the molecular epidemiological and evolutionary characteristics of PCV2 from 2016 to 2019. Methods: A total of 279 clinical samples were collected from different regions of Yunnan between 2016 to 2019, and PCV2 was detected by PCR. We then amplified full genomes from the positive samples, and the sequences were analysed for homology and genetic evolution. Results: Overall, 60.93% (170/279) of the screened swine herd samples were positive for PCV2. We sequenced 15 Yunnan province PCV2 strains from positive samples. Analyses of the complete genomes and Cap genes led to the classification of the 15 Yunnan PCV2 strains into PCV2a (2 of 15), PCV2b (1of 15) and PCV2d (12 of 15). All strains shared 94.3–99.9% of their identities with the nucleotide sequences of complete genomes in this study and shared 94.2–99.9% identity with the reference sequences. All strains share 89.4–100% and 86.8–100% of their identities with the nucleotide and amino acid (aa) sequences of Cap, respectively. Conclusions: The results of this study provide evidence that PCV2a, PCV2b and PCV2d genotypes coexisted in Yunnan Province from 2016 to 2019, and the priority prevalence genotype was PCV2d. The data provide evidence for the increased genetic diversity and insights into the molecular epidemiology of PCV2. This study also provides basic data for the Yunnan province PCV2 molecular epidemiological survey and accumulates effective materials for the development of PCV2 vaccines. [ABSTRACT FROM AUTHOR]