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The purpose of this study was to determine the effect of four different age groups on wood properties, i.e., anatomical, physical, and mechanical, of Himalayan birch (Betula alnoides Buch.-H.ex D.Don). The correlation between the properties was also discussed. The results indicated age influences the anatomical, physical, and mechanical properties of Himalayan birch. Results were comparable with other plantation species. Moreover, mechanical properties were highly correlated with the fibre morphology in Himalayan birch. Results from this present study indicate that the 15-, 20-, and 25-year-old Himalayan birch are suitable to be used for parquet, furniture, and other products. Generally, plantation-grown Himalayan birch has the potential to be a raw material to fulfill the demand for the timber industry.

Key-value store, a fundamental component in a variety of modern data-intensive applications, can benefit from the emerging persistent memory (PM) to achieve high performance. Recent research proposes hybrid PM-DRAM key-value stores, which persist key-value pairs to PM in a log-structured approach for efficient storage and maintain a volatile hash index in DRAM for fast indexing. However, they fail to achieve high performance under update-intensive workloads due to the unawareness of PM’s characteristics. We propose Eukv, a hybrid PM-DRAM key-value store that supports efficient updates. Eukv: 1) leverages out-of-place updates and lazy deletions to reduce small random PM reads and writes; 2) performs concurrency control only in a volatile hash index to further reduce small random PM reads and writes introduced by persistent lock operations; 3) uses cacheline-aligned writes to take full advantage of PM’s write performance; 4) improves garbage collection efficiency through hot and cold data separation; 5) employs multi-threaded garbage collection technology to reduce the impact of inefficient garbage collection on updates at high-capacity utilization. We conduct extensive evaluations on an 18-core machine equipped with Intel Optane DC Persistent Memory Modules. Experimental results demonstrate that Eukv obtains up to $5.6\times $ speedup than the state-of-the-art hybrid PM-DRAM key-value store.

This study presents a multi-factor rational design strategy combined with molecular dynamics simulation to improve the thermostability of Streptomyces cyaneofuscatus strain Ms1 tyrosinase. Candidate mutation sites were identified using Discovery Studio and FoldX software, and the double mutant G124W/G137W was obtained. The mutant was heterogeneously expressed in Escherichia coli strain Rosetta2 (DE3), and its thermostability was verified. Results indicate that the rational design method, combined with molecular dynamics simulation and protein energy calculation, improved the enzyme's thermostability more accurately and effectively. The double mutant G124W/G137W had an optimum temperature of 60°C, about 5.0°C higher than that of the wild-type TYRwt, and its activity was 171.06% higher than the wild-type TYRwt. Its thermostability was enhanced, 42.78% higher than the wild-type at 50°C. These findings suggest that the rational design strategy applied in this study can facilitate the application of industrial enzymes in the pharmaceutical industry.

Multitemporal Earth observation capability plays an increasingly important role in crop monitoring. As the frequency of satellite acquisition of remote sensing images becomes higher, how to fully exploit the implicit phenological laws in dense multitemporal data is of increasing importance. In this article, we propose a CNN-transformer approach to perform the crop classification, in the model, we borrow the transformer architecture from the knowledge of NLP to dig into the pattern of multitemporal sequence. First, after unifying the spatial-spectral scale of each multiband data acquired from different sensors, we obtain the scale-consistent feature and position feature of multitemporal sequence. Second, with adopting multilayer encoder modules derived from the transformer, we mine deep correlation patterns of multitemporal sequence. Finally, the feed-forward layer and softmax layer serve as output layers of the model to predict crop categories. The proposed CNN-transformer approach is illustrated in a crop-rich agricultural region in central California, where 65 multitemporal profiles from multisensor Sentinel-2 A/B and Landsat-8 are obtained in 2018. Through multiband multiresolution fusion, sequence correlation extraction of multitemporal data and category feature extraction, the classification results show that the proposed method has a significant performance improvement compared with other traditional methods.

Background To date, there have been no reports on the sexual and psychological health of patients with azoospermia during the coronavirus disease 2019 (COVID-19) pandemic. Previous studies on the sexual health of couples with azoospermia are limited and are especially lacking in data on the wives of azoospermic men. Methods We conducted a case–control cross-sectional study between 1 July 2020 and 20 December 2020. In total, 100 couples with azoospermia comprised the experimental group and 100 couples with normozoospermia comprised the control group. The couples’ sexual health was measured using standardised sexual function questionnaires (male: International Index of Erectile Function-15 [IIEF-15] and Premature Ejaculation Diagnostic Tool [PEDT]; female: Female Sexual Function Index [FSFI]) and a self-designed questionnaire to evaluate changes in sexual behaviours (sexual satisfaction, desire, frequency of sexual activity, masturbation, and pornography use) during lockdown. The couples’ psychological health was measured using the 7-item Generalized Anxiety Disorder (GAD-7) scale and 9-item Patient Health Questionnaire (PHQ-9). The Actor–Partner Interdependence Model (APIM) was used to analyse the associations between sexual health and psychological health. Results The IIEF-15 scores (53.07 ± 11.11 vs. 57.52 ± 8.57, t = − 3.17, p = 0.00) were lower and the PEDT scores (6.58 ± 3.13 vs. 5.17 ± 2.22, t = 3.67, p = 0.00) and incidence of premature ejaculation (χ2 = 14.73, p = 0.00) were higher for men with azoospermia than for men with normozoospermia. Compared with those of wives of men with normozoospermia, the total FSFI scores (25.12 ± 5.56 vs. 26.75 ± 4.82, t = − 2.22, p = 0.03) of wives of men with azoospermia were lower. The chi-square test showed that the perceived changes in sexual satisfaction (χ2 = 7.22, p = 0.03), frequency of masturbation (χ2 = 21.96, p = 0.00), and pornography use (χ2 = 10.90, p = 0.01) were significantly different between the female groups with azoospermia and normozoospermia, but there were no significant changes in sexual behaviour between the male groups. The GAD-7 (men: 7.18 ± 5.56 vs. 5.68 ± 4.58, p = 0.04; women: 6.65 ± 5.06 vs. 5.10 ± 3.29, p = 0.01) and PHQ-9 scores (men: 10.21 ± 6.37 vs. 7.49 ± 6.10, p = 0.00; women: 8.81 ± 6.50 vs. 6.98 ± 4.43, p = 0.02) were significantly higher for couples with azoospermia than for couples with normozoospermia. The APIM showed that for couples with azoospermia, sexual function negatively correlated with their own anxiety (men: β = −0.22, p = 0.00; women: β = −0.38, p = 0.00) and depression symptoms (men: β = −0.21, p = 0.00; women: β = −0.57, p = 0.00) but not with their partner’s anxiety and depression symptoms (p > 0.05). Conclusions Couples with azoospermia had a lower quality of sexual function and higher levels of psychological distress than couples with normozoospermia. Their sexual health negatively correlated with psychological distress.

Infrared small-target detection is a key technology for the infrared search and track system (IRST), but some problems still exist, such as false detections in complex backgrounds and clutter. To solve these problems, a novel image patch tensor (IPT) model for infrared small-target detection is proposed. First, to better estimate the background component, we utilize the Laplace operator to approximate the background tensor rank. Secondly, we combined local gradient features and highlighted area indicators to model the local targets prior, which can effectively suppress the complex background clutter. The proposed model was solved by the alternating direction method of multipliers (ADMM). The experimental results on various scenes show that our model achieves an excellent performance in suppressing strong edge clutter and estimating small targets.

Crop classification based on multitemporal multisensor remote sensing imagery has a great significance. As more and more Earth observation satellites are launched, it becomes easier to obtain increasingly dense multitemporal data, and the category patterns hidden in multitemporal data can be more and more finely mined and expressed. However, the traditional classification methods treat the features of different temporal periods consistently, so the classification performances are not well enough, especially for the categories with subtle phenological differences. In this paper, we propose a temporal-attention CNN-GRU (Convolutional Neural Networks and Gated Recurrent Unit Networks) approach to distinguish subtle crop differences, and the temporal attention mechanism introduced in the model can achieve the effect of enhancing phenological differences and suppressing phenological similarity. Firstly, we use the GRU networks to model the temporal correlation of the multitemporal data. And then, the temporal attention layer utilize a query module to retrieve “what is the important information” over the whole temporal sequence, so we can obtain the attention weights for each temporal period. In the experiments, multitemporal samples are collected from Sentinel-2A/B and Landsat-8. Due to the different spatial resolutions of multiband images, transposed convolution which can extract the raw spatial structure information is used for multiband features fusion. Experimental results on multitemporal data show that the proposed approach achieve the best performance compared with conventional methods, especially for the categories with similar phenological laws.

Finding out the reasons for wellbore instability in the Longmaxi Formation and Wufeng Formation and putting forward drilling fluid technical countermeasures to strengthen and stabilize the wellbore are very crucial to horizontal drilling. Based on X-ray diffraction, electron microscope scanning, linear swelling experiment, and hot-rolling dispersion experiment, the physicochemical mechanism of wellbore instability in complex strata was revealed, and thus, the coordinated wellbore stability method can be put forward, which is “strengthening plugging of micropores, inhibiting filtrate invasion, and retarding pressure transmission.” Using a sand bed filtration tester, high-temperature and high-pressure plugging simulation experimental device, and microporous membrane and other experimental devices, the oil-based drilling fluid treatment agent was researched and selected, and a set of an enhanced plugging drilling fluid system suitable for shale gas horizontal well was constructed. Its temperature resistance is 135°C and it has preferable contamination resistibility (10% NaCl, 1% CaCl2, and 8% poor clay). The bearing capacity of a 400 μm fracture is 5 MPa, and the filtration loss of 0.22 μm and 0.45 μm microporous membranes is zero. Compared with previous field drilling fluids, the constructed oil-based drilling fluid system has a greatly improved plugging ability and excellent performance in other aspects.

Constructed wetlands (CWs) have been used globally in wastewater treatment for years. CWs represent an efficient ecological system which is both energy-saving and low in investment for construction and operational cost. In addition, CWs also have the advantage of being easy to operate and maintain. However, the operation of CWs at northern latitudes (both mid and high) is sometimes quite demanding, due to the inhibitory effect of low temperatures that often occur in winter. To evaluate the wastewater treatment performance of a culture of mixed Psychrotrophic bacteria strains in an integrated vertical-flow CW, the removal rates of ammonia nitrogen (NH3–N), chemical oxygen demand (COD), nitrite nitrogen (NO2−−N), nitrate nitrogen (NO3−−N) and total phosphorus (TP) were quantified at different bacterial dosages to determine the best bacterial dosage and establish kinetic degradation models of the mixed strains. The bacterial culture was made up of Psychrobacter TM-1, Sphingobacterium TM-2 and Pseudomonas TM-3, mixed together at a volume/volume ratio of 1 : 1 : 1 (at bacterial suspension concentrations of 4.4 × 109 ml−1). Results showed that the organic pollutants (nitrogen and phosphorus) in the sewage could be efficiently removed by the culture of mixed Psychrotrophic bacteria. The optimal dosage of this mixed bacteria strain was 2.5%, and the treatment efficiency of COD, NH3–N, NO2−−N, NO3−−N, total nitrogen and TP were stable at 91.8%, 91.1%, 88.0%, 93.8%, 94.8% and 95.2%, respectively, which were 1.5, 2.0, 2.1, 1.5, 2.2 and 1.3 times those of the control group. In addition, a pseudo-first-order degradation model was a good fit for the degradation pattern observed for each of these pollutants.

To address the worldwide oil and water separation issue, a novel approach was inspired by natural phenomena to synthesize superhydrophilic and underwater superoleophobic organic/inorganic nanofibrous membranes via a scale up fabrication approach. The synthesized membranes possess a delicate organic core of PVDF-HFP and an inorganic shell of a CuO nanosheet structure, which endows super-flexible properties owing to the merits of PVDF-HFP backbones, and superhydrophilic functions contributed by the extremely rough surface of a CuO nanosheet anchored on flexible PVDF-HFP. Such an organic core and inorganic shell architecture not only functionalizes membrane performance in terms of antifouling, high flux, and low energy consumption, but also extends the lifespan by enhancing its mechanical strength and alkaline resistance to broaden its applicability. The resultant membrane exhibits good oil/water separation efficiency higher than 99.7%, as well as excellent anti-fouling properties for various oil/water mixtures. Considering the intrinsic structural innovation and its integrated advantages, this core−shell nanofibrous membrane is believed to be promising for oil/water separation, and this facile approach is also easy for scaled up manufacturing of functional organic/inorganic nanofibrous membranes with insightful benefits for industrial wastewater treatment, sensors, energy production, and many other related areas.

The purpose of this study was to determine the effect of four different age groups on wood properties, i.e., anatomical, physical, and mechanical, of Himalayan birch (Betula alnoides Buch.-H.ex D.Don). The correlation between the properties was also discussed. The results indicated age influences the anatomical, physical, and mechanical properties of Himalayan birch. Results were comparable with other plantation species. Moreover, mechanical properties were highly correlated with the fibre morphology in Himalayan birch. Results from this present study indicate that the 15-, 20-, and 25-year-old Himalayan birch are suitable to be used for parquet, furniture, and other products. Generally, plantation-grown Himalayan birch has the potential to be a raw material to fulfill the demand for the timber industry. [ABSTRACT FROM AUTHOR]

So far, pedagogy has not formed its own unique visual angle and thinking mode to understand humans and the world in general; consequently, it is always counting upon other subjects, which is the root of the crisis in pedagogy. Focusing on the "visual angle" and "thinking mode", this article puts forward a new proposition "pedagogic understanding" to make a concrete analysis of a basic hypothesis, some basic problems and some research ways. The purpose is to form pedagogy's own way of understanding on the foundation of delimitation and integration with other subjects.

AimThis study aims to assess the dose–response impact of iron load on systemic and hepatic metabolic disorders including metabolic syndrome (MetS) and non-alcoholic fatty liver disease (NAFLD).MethodsSerum ferritin (SF) and dietary iron intake were selected to represent the indicators of iron load in the general population. PubMed, EMBASE and Web of Science databases were searched for epidemiological studies assessing the impact of SF/dietary iron intake on MetS/NAFLD occurrence. All literature was published before September 1st, 2023 with no language restrictions.ResultsFifteen and 11 papers were collected with a focus on connections between SF and MetS/NAFLD, respectively. Eight papers focusing on dietary iron and MetS were included in the following meta-analysis. For the impact of SF on MetS, the pooled odds ratio (OR) of MetS was 1.88 (95% CI: 1.58–2.24) for the highest versus lowest SF categories. In males, the OR was 1.15 (95% CI: 1.10–1.21) per incremental increase in SF of 50 μg/L, while for females, each 50 μg/L increase in SF was associated with a 1.50-fold higher risk of MetS (95% CI: 1.15–1.94). For connections between SF and NAFLD, we found higher SF levels were observed in NAFLD patients compared to the control group [standardized mean difference (SMD) 0.71; 95% CI: 0.27–1.15], NASH patients against control group (SMD1.05; 95% CI:0.44–1.66), NASH patients against the NAFLD group (SMD 0.6; 95% CI: 0.31–1.00), each 50 μg/L increase in SF was associated with a 1.08-fold higher risk of NAFLD (95% CI: 1.07–1.10). For the impact of dietary iron on MetS, Pooled OR of MetS was 1.34 (95% CI: 1.10–1.63) for the highest versus lowest dietary iron categories.ConclusionElevated SF levels is a linear relation between the incidence of MetS/NAFLD. In addition, there is a positive association between dietary iron intake and metabolic syndrome. The association between serum ferritin and metabolic syndrome may be confounded by body mass index and C-reactive protein levels.

Aging is a contributor to liver disease. Hence, the concept of liver aging has become prominent and has attracted considerable interest, but its underlying mechanism remains poorly understood. In our study, the internal mechanism of liver aging was explored via multi-omics analysis and molecular experiments to support future targeted therapy. An aged rat liver model was established with d-galactose, and two other senescent hepatocyte models were established by treating HepG2 cells with d-galactose and H2O2. We then performed transcriptomic and metabolomic assays of the aged liver model and transcriptome analyses of the senescent hepatocyte models. In livers, genes related to peroxisomes, fatty acid elongation, and fatty acid degradation exhibited down-regulated expression with aging, and the hepatokine Fgf21 expression was positively correlated with the down-regulation of these genes. In senescent hepatocytes, similar to the results found in aged livers, FGF21 expression was also decreased. Moreover, the expressions of cell cycle-related genes were significantly down-regulated, and the down-regulated gene E2F8 was the key cell cycle-regulating transcription factor. We then validated that FGF21 overexpression can protect against liver aging and that FGF21 can attenuate the declines in the antioxidant and regenerative capacities in the aging liver. We successfully validated the results from cellular and animal experiments using human liver and blood samples. Our study indicated that FGF21 is an important target for inhibiting liver aging and suggested that pharmacological prevention of the reduction in FGF21 expression due to aging may be used to treat liver aging-related diseases.

Abstract To identify the mechanism underlying macrosteatosis (MaS)‐related graft failure (GF) in liver transplantation (LT) by multi‐omics network analysis. The transcriptome and metabolome were assayed in graft and recipient plasma in discovery (n = 68) and validation (n = 89) cohorts. Differentially expressed molecules were identified by MaS and GF status. Transcriptional regulatory networks were generated to explore the mechanism for MaS‐related inferior post‐transplant prognosis. The differentially expressed molecules associated with MaS and GF were enriched in ferroptosis and peroxisome‐related pathways. Core features of MaS‐related GF were presented on decreased transferrin and impaired anti‐oxidative capacity dependent upon dysregulation of transcription factors hepatocyte nuclear factor 4A (HNF4A) and hypoxia‐inducible factor 1A (HIF1A). Furthermore, miR‐362‐3p and miR‐299‐5p inhibited transferrin and HIF1A expression, respectively. Lower M2 macrophages but higher memory CD4 T cells were observed in MaS‐related GF cases. These results were validated in clinical specimens and cellular models. Systemic analysis of multi‐omics data depicted a panorama of biological pathways deregulated in MaS‐related GF. Transcriptional regulatory networks centered on transferrin and anti‐oxidant responses were associated with poor MaS graft quality, qualifying as potential targets to improve prognosis of patients after LT.