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Although Omicron appears to cause less severe acute illness than the original strain, the potential for large numbers of patients to experience long COVID is a major concern. Little is known about the recovery phase in cases of Omicron, highlighting the importance of dynamically monitor long COVID in those patients. Subjects of the current study were patients available for a three-month follow-up who were admitted from January 13 to May 22, 2020 (period of the original strain) and from January 1 to May 30, 2022 (period of Omicron). Twenty-eight-point-four percent of patients infected with the original strain had long-term symptoms of COVID-19 and 5.63% of those infected with the Omicron strain had such symptoms. The most common symptom was a cough (18.5%), followed by tightness in the chest (6.5%), in patients infected with the original strain. Fatigue (2.4%) and dyspnea (1.7%) were the most commonly reported symptoms in patients infected with the Omicron strain. The respiratory system is the primary target of SARSCoV-2. Supportive treatment is the basis for the treatment of respiratory symptoms in patients with COVID-19. Quality sleep and good nutrition may alleviate fatigue and mental issues. Further knowledge about a long-term syndrome due to Omicron needs to be discussed and assembled so that healthcare and workforce planners can rapidly obtain information to appropriately allocate resources.

A new species of freshwater mussel belonging to the genus Pseudocuneopsis, namely Pseudocuneopsis yangshuoensis sp. nov., is diagnosed and described from Guangxi Province, China. This paper provides a detailed morphological description, photograph of the type specimen, and anatomical characteristics along with partial sequences of mitochondrial COI as DNA barcode data for this novel species. The new species can be distinguished from its congeners (Pseudocuneopsis sichuanensis and Pseudocuneopsis capitata) by shell shape, beak position and surface sculpture. The interspecies genetic distance based on the COI barcode between P. yangshuoensis sp. nov. and P. sichuanensis is 8%, while it reaches 9% with P. capitata. Therefore, we provide robust morphological and molecular evidence to support the validity of this new species.

Background: Hyper- and hypotension increase the risk of cognitive dysfunction. As effective control of blood pressure can reduce the risk of mild cognitive impairment(MCI), early risk assessment is necessary to identify mild cognitive impairment in senile hypertension as soon as possible and reduce the risk of developing dementia. Method: This artical aims to explore the risk factors for MCI in older patients with hypertension and develop a nomogram model for predicting MCI. A total of 345 older patients with hypertension in Xixiangtang District, Nanning City were selected as modeling group(MG), and divided into MCI group (n=197) and non-MCI group(n=148). Comparing the general conditions, lifestyle, disease factors, psychosocial and other indicators of the two groups. Logistic regression was used to analyze risk factors for mild cognitive impairment in older hypertensive patients, and R Programming Language was used to draw the nomogram. A total of 146 older patients with hypertension in Qingxiu District, Nanning city were selected as verification group(VG). The effectiveness and discrimination ability of the nomogram were evaluated through internal and external verification. Results: Multivariate logistic regression analysis identified 11 factors, including hypertension grade, education level, complicated diabetes, hypertension years, stress history, smoking, physical exercise, reading, social support, sleep disorders, and medication compliance, as risk factors for mild cognitive impairment in older community-dwelling patients with hypertension. To develop a nomogram model, the validity of the prediction model was evaluated by fitting the curve, which revealed a good fit for both the modeling (P = 0.98) and verification groups (P = 0.96). The discrimination of the nomogram model was evaluated in the modeling group using a receiver operating characteristic curve. The area under the curve was 0.795, sensitivity was 0.584, specificity was 0.919, Jordan Index was 0.503, positive-predictive value was 90.53%, negative-predictive value was 62.5%, and the Hosmer–Lemeshow test yielded P = 0.703. In the validation group, the area under the curve was 0.765, sensitivity was 0.63, specificity was 0.877, Jordan Index was 0.507, positive-predictive value was 84.46%, negative-predictive value was 65.52%, and the Hosmer–Lemeshow test yielded P = 0.234. Conclusions: We developed a nomogram to help clinicians identify high-risk groups for mild cognitive impairment among community-dwelling older patients with hypertension. This model demonstrated good discrimination and validity, providing a scientific basis for community medical staff to evaluate and identify the risk of mild cognitive impairment in these patients at an early stage.

Replication of paper entitled 'Skillful decadal prediction skill over the Southern Ocean based on SPEAR Model-Analogs'. This file contains four datasets used to replicate figures in apaper published in Environmental Research Communications. These datasets are in .mat format, which can be easily read by Matlab software using load command.

The Approximate Bayesian computation (ABC) methods provide a powerful tool for sampling from Bayesian posteriors for cases where we can simulate samples, but we have no access to an explicit expression of the likelihood function. The Simulated Annealing ABC (SABC) algorithm has been proposed to achieve a fast convergence to an unbiased approximation to the posterior by adaptively decreasing an initially coarse tolerance value. However, this algorithm uses a rather simplistic random walk Metropolis (RWM) sampler to generate trial moves in a Markov chain and always requires an excessive number of model evaluations for approximating the posterior, which inevitably lowers the sampling efficiency and limits its applications in more complex hydrologic modelling practices. Inspired by the advances made in Markov Chain Monte Carlo (MCMC) methods, we incorporated an adaptive Differential Evolution scheme to enhance the efficiency of SABC sampling. This scheme has its roots within Differential Evolution Markov Chains (DE-MC), and additionally utilizes a self-adaptive randomized subspace sampling strategy to optimally select the dimensions of parameters to be updated each time a proposal is generated. The superiority of the modified SABC (mSABC) over the original SABC algorithm was demonstrated through a SAC-SMA application to the Danjiangkou Reservoir region (DRR). The case study results showed that mSABC was far more efficient with lower computation costs and higher acceptance rates, and achieved higher numerical accuracy than the original SABC algorithm. mSABC also resulted in a better overall prediction of streamflow time series and signatures. The introduction of more advanced MCMC sampler into SABC helps to speed up convergence to the approximate posterior while achieving better model performance, which significantly widens the applicability of SABC to complex posterior exploration problems.

IntroductionReconstructive breeding based on autotetraploids to generate triploid varieties is a promising breeding strategy in banana (Musa spp.). Therefore understanding the molecular mechanisms underlying the phenotypic differences between the original diploid and its autopolyploid derivatives is of significant importance in such breeding programs of banana.MethodsIn this study, a number of non-chimeric autotetraploid plants, confirmed by flow cytometry and chromosome counting were obtained using colchicine treatment of ‘Pisang Berlin' (AA Group), a diploid banana cultivar highly resistant to Fusarium wilt Tropical Race 4 (Foc TR4) and widely cultivated in Asia.Results and discussionThe autotetraploids showed significant increase in plant height, pseudostem diameter, root length, leaf thickness, leaf area, and leaf chlorophyll content. Transcriptomic analysis indicated that differentially expressed genes were mainly enriched in plant hormone signal transduction, mitogen-activated protein kinase (MAPK) signaling pathway, and carbon fixation in photosynthetic organelles. The genes related to the metabolism, transport or signaling of auxin, abscisic acid (ABA), cytokinin (CTK) and gibberellin (GA), as well as the genes encoding essential enzymes in photosynthetic CO2 fixation were differentially expressed in leaves of autotetraploids and most of them were up-regulated. Metabolomic analysis revealed that the differentially accumulated metabolites were mainly involved in plant hormone signal transduction, porphyrin and chlorophyll metabolism, indole alkaloid biosynthesis, and carbon fixation in photosynthetic organelles. The results therefore, demonstrate that the hormones IAA, ABA, and photosynthetic regulation may play a vital role in the observed enhancement in the autotetraploids. These could be used as molecular and biochemical markers to facilitate the generation of triploid progenies as suitable new varieties for cultivation.

Mid-term electricity load forecasting (LF) plays a critical role in power system planning and operation. To address the issue of error accumulation and transfer during the operation of existing LF models, a novel model called error correction based LF (ECLF) is proposed in this paper, which is designed to provide more accurate and stable LF. Firstly, time series analysis and feature engineering act on the original data to decompose load data into three components and extract relevant features. Then, based on the idea of stacking ensemble, long short-term memory is employed as an error correction module to forecast the components separately, and the forecast results are treated as new features to be fed into extreme gradient boosting for the second-step forecasting. Finally, the component sub-series forecast results are reconstructed to obtain the final LF results. The proposed model is evaluated on real-world electricity load data from two cities in China, and the experimental results demonstrate its superior performance compared to the other benchmark models., Comment: 8 pages, 3 figures

We combine in-situ electrical transport and Seebeck coefficient measurements with the ionic liquid gating technique to investigate superconductivity and the normal state of FeySe1-xTex (FST) films. We find that the pristine FST films feature a non-Fermi liquid temperature dependence of the Seebeck coefficient, i.e., S/T ~ AS lnT, and AS is strongly correlated with the superconducting transition temperature (Tc). Ionic liquid gating significantly raises Tc of FST films, for which the Seebeck coefficient displays a novel scaling behavior and retains the logarithmic temperature dependence. Moreover, a quantitative relationship between the slope of T-linear resistivity (A\r{ho}) and Tc for gated films is observed, i.e., (A\r{ho})1/2 ~ Tc, consistent with previous reports on cuprates and FeSe. The scaling behaviors of AS and A\r{ho} point to a spin-fluctuation-associated transport mechanism in gated FeySe1-xTex superconductors., Comment: 12 pages,5 figures

Let $\langle m,n,p \rangle$ be the matrix multiplication tensor. The solution set of Brent equations corresponds to the tensor decompositions of $\langle m,n,p \rangle$. We study the local dimensions of solutions of the Brent equations over the field of complex numbers. The rank of Jacobian matrix of Brent equations provides an upper bound of the local dimension, which is well-known. We calculate the ranks for some typical known solutions, which are provided in the databases \cite{Faw22+} and \cite{Heule19}. We show that the automorphism group of the natural algorithm computing $\langle m,n,p \rangle$ is $(\mathcal{P}_m\times \mathcal{P}_n\times \mathcal{P}_p)\rtimes Q(m,n,p)$, where $\mathcal{P}_m$, $\mathcal{P}_n$ and $\mathcal{P}_p$ are groups of generalised permutation matrices, $Q(m,n,p)$ is a subgroup of $S_3$ depending on $m$, $n$ and $p$. For other algorithms computing $\langle m,n,p \rangle$, a condition is given, which implies the corresponding automorphism groups are isomorphic to subgroups of $(\mathcal{P}_m\times \mathcal{P}_n\times \mathcal{P}_p)\rtimes Q(m,n,p)$. So under this condition, $m^2+n^2+p^2-m-n-p-3$ is a lower bound for the local dimensions of solutions of Brent equations., Comment: Any comments are welcome

As a traditional industry, the tobacco industry is an important part of the national economy and has an important position in meeting social consumption demand and increasing national and local fiscal revenue. And VR industry, as an emerging industrial economy, can effectively empower the development of tobacco industry. To further promote the development of VR and tobacco industry clusters and optimize the industrial structure, this paper constructs a conceptual model of the factors influencing the innovation performance of VR and tobacco industry clusters from a social network perspective based on the triple helix theory. Structural equation method and data of relevant companies of VR and tobacco industry in Nanchang is used to study the influencing factors of their innovation performance, and further examines the influence mechanism of R&D investment, government behavior and cluster atmosphere on innovation performance of these two industrial clusters. The results show that R&D investment, government behavior and cluster atmosphere have positive effects on innovation performance of Nanchang VR and tobacco industry cluster. The conclusions of this paper enrich the influencing factors of cluster innovation performance and expand the scope of innovation performance theory in the context of VR and tobacco industrial cluster.

As a low operating cost microwave source, magnetron has been fully considered for superconducting radio frequency (SRF) accelerator. A 1497-MHz, 13.5-kW continuous-wave (CW) magnetron for SRF accelerator is designed and manufactured, and the test results meet the design requirements. Two simulation steps of designing magnetron with Computer Simulation technology (CST) Studio Suite are presented. First, the Microwave Studio helped to simulate the microwave coupled output structure and the resonant cavity. Then, the output performance of magnetron was simulated with particle-in-cell (PIC) solver. The cold test results show that the circuit efficiency is 93.14 %. A magnetron hot test platform was used to measure an output power of 14.23 kW and an electronic efficiency of 84.23 %. The injection locking experiment is completed at 4.5 kW. The frequency of the magnetron is adjustable, with a tunable bandwidth of 7 MHz through a mechanical tuning rod. The problems and solutions in the process of design and manufacture are summarized, which can provide a reference for the development of high-power magnetron with different frequency. The development of 1497-MHz magnetron broadens the selectable frequency of high-power magnetron, which is beneficial to its industrial applications.

Liming is a common strategy applied to attain optimal pH for tea growth in severely acidic soils. Tea however is a calciphobous plant, and the effects of liming on its growth and nutrient uptake remain poorly understand. Therefore, it is necessary to better understand the effects of liming on soil chemical properties and tea nutrient content. In this study, a tea plantation that had exhibited large variation in growth after liming was selected as a study site. We categorized plots into two growth condition groups: Plot 1 (poor growth) and Plot 2 (excellent growth). Tea nutrient levels, and soil chemical properties were then compared between the two groups. Normalized difference vegetation index (NDVI) and transformed vegetation index (TVI) values were significantly higher and lower, respectively, in Plot 2 than in Plot 1. Yield, number of buds per m2, and 100-bud weight were significantly higher in Plot 2. These results were attributed to higher N, K, and Al concentrations and lower Ca concentrations in leaves, and lower pH and available Ca and higher available Al in soil. Leaf concentrations of K and Al were significantly negatively correlated with leaf concentrations of Ca and soil pH. A positive relationship was observed between leaf concentrations of K and Al, indicating inhibited K and Al uptake due to over-liming, restricting tea growth. In conclusion, our results show that tea growth will be restricted by over-liming, as a result of the high soil pH and Ca concentration inhibiting the K and Al uptake.

Introduction: Diabetes mellitus is one of the most important health issues worldwide. The rising incidence of the disease has resulted in a parallel increase of complications such as diabetic foot ulcers (DFU). It is estimated that 25% of patients with diabetes will develop foot ulcers over a lifetime. In Mexico, this lifetime incidence is about 40% to 50%, and 20% of the cases will require amputations. DFU can result in staggering financial burdens for the healthcare system and the patient. Therapies that promote rapid and complete healing and reduce the need for expensive surgical procedures would impact these costs substantially. Methods: Cu/TiO2–SiO2 nanoparticles were synthesized by T. López et al. sol-gel patented method. After synthesis, they were characterized using transmission electron microscopy (TEM) and X-ray diffraction. Then, they were embedded in a polymeric gel matrix. The Cu/TiO2–SiO2 nanogel was used as conservative therapy for a chronic non-healing DFU on a 62-year old female with several comorbidities and chronic complications of diabetes. Wound debridement was performed prior to nanogel administration. The nanogel was applied over the ulcer on alternate days for an initial period of 2 weeks and then continued for 10 months. Results: Significant improvement was observed in the wound healing process since the first applications. The infection was limited and tissue regeneration was enhanced until complete healing of the ulcer. Conclusion: Cu/TiO2–SiO2 nanogel therapy enhanced reepithelialization and healing of the DFU. The successful outcome allowed to avoid the amputation that was proposed for the patient.

Background: Aiming at the power fluctuation of wind/ photovoltaic (PV)/ energy storage (ES) hybrid energy conversion system injected into the grid, this paper builds a mathematical model system of distributed microgrid with PV coupling to the DC side of the doubly fed induction generator (DFIG) and proposes hierarchical and phased power coordination strategy. Methods: The hydrogen storage part and the Supercapacitor (SC) are used as backup power and power adjustment units to ensure power supply reliability and compensate for the shortcomings of wind and solar energy intermittent. The power coordination strategy assigns power reference control and the power controller follows the reference value (i.e., hierarchical control). The electrolysis cell (EL) and the Proton Exchange Membrane Fuel Cell (PEMFC) perform phased power control (i.e., minimum power, rated power, maximum power). The SC is divided into two operating modes, which are the same or opposite to the EL/PEMFC output power direction. Results: To reduce the wait time of the SC, the SC is free to switch between the two modes by setting the recovery voltage. The SC is mainly aimed at wind speed and load abrupt changes, and the hydrogen storage part is designed to solve the short-term energy shortage and surplus. Conclusion: In the 3-machine 9-bus system, the actual wind power, irradiance and temperature data of North China are used for verification. The method can effectively balance the wind wave fluctuation power, prolong the life of the EL, fully utilize the space of the SC, and reduce the cost.

In order to discuss the effects of Cu-cored solder with pure Ni coating and joint height on the interfacial microstructure and mechanical properties of joints, Cu/Sn-3.0Ag0.5Cu (SAC305)/Cu and Cu/Cu-cored + SAC305/Cu sandwich solder joints were prepared using a reflow process. The interfacial microstructure of the solder joints was investigated by scanning electron microscope with energy-dispersive x-ray spectroscopy. The results showed that, at as-reflowed joints, an intermetallic compound (IMC) of scallop-like Cu6Sn5 was formed at the Cu wire/solder interface, and a plane-like (Cux, &!nbsp;Ni1−x)6Sn5 IMC was formed at the Cu core/solder interface. Compared with SAC305 solder joints, Cu-cored solder joints showed more interface layers, a thicker Cu6Sn5 IMC layer, and higher tensile strength. With increasing joint height, the thickness of the IMC at the two interfaces decreased, and the tensile strength also decreased for Cu-cored solder joints. Mixed brittle/ductile fracture appeared in SAC305 and Cu-cored solder joints with height of 600 μm, but were suppressed and transformed into ductile fractures with increasing height of the solder joints.

Peanut (Arachis hypogaea L.) is one of the most important economic and oil crops in the world. At present, peanut varieties with rich anthocyanin in testa are rare in the market, but the selection and breeding of varieties with the related traits has always attracted the attention of breeders. In this study, two peanut varieties with the pink and purple testa, G110 (G) and Z18-40 (Z) were used to conduct interaction joint analysis of multi-omics and miRNA-target gene. The anthocyanin content of Z18-40 was 7.49–8.62-folds higher than G110 on 30 DAF (days after flowering) and 45 DAF via Ultraviolet-visible Spectrophotometer (UV-5800, Shanghai, China). And then, a total of 14 candidate genes related with the anthocyanin biosynthesis were identified for correlation in different comparison groups (R2 ≥ 0.80), among of a novel gene Ah21440 related with hydroxycinnamoyl transferase (HCT) biosynthesis was identified. In addition, Cyanidin 3-O-glucoside (Kuromanin, pmb0550) was the only common differentially accumulated metabolite (DAM) identified using multi-omics joint analysis in G1_vs_G2, Z1_vs_Z2, G1_vs_Z1, and G2_vs_Z2, respectively. Correlation analysis of miRNA-target genes and DEGs in the transcriptome shows that, AhmiR2950, AhmiR398, AhmiR50, and AhmiR51 regulated to HCT and chalcone biosynthesis related candidate genes (Ah21440, AhCHS, AhCHI). Lastly, all of 14 candidate genes and 4 differentially expressed miRNAs were validated using quantitative real-time PCR (qRT-PCR), which trends were consistent with that of the former transcriptome data. The results provide important reference for in-depth research on the anthocyanin metabolism mechanism in peanut testa.

Supplemental material, sj-docx-1-jtt-10.1177_1357633X221122727 for Effect of telehealth interventions on anxiety and depression in cancer patients: A systematic review and meta-analysis of randomized controlled trials by Yufan Yang, Yingying Huang, Ning Dong, Liping Zhang and Shuanghong Zhang in Journal of Telemedicine and Telecare

The Hofmann-Mislove theorem states that in a sober space, the nonempty Scott open filters of its open set lattice correspond bijectively to its compacts saturated sets. In this paper, the concept of $c$-well-filtered spaces is introduced. We show that a retract of a $c$-well-filtered space is $c$-well-filtered and a locally Lindel\"{o}f and $c$-well-filtered $P$-space is countably sober. In particular, we obtain a Hofmann-Mislove theorem for $c$-well-filtered spaces.

Capsicum chinense is one of the best ingredients for making chili sauces and extracting capsaicin. In this study, we identified 59 genes associated with shikimic acid, phenylpropane, unsaturated fatty acids, phenylalanine, valine, leucine, isoleucine and other metabolic pathways based on pepper genome. In the present study, 58 of the 59 genes involved in capsaicin synthesis were found to be unevenly distributed on 11 chromosomes, and several genes with the same number of exons and high homology were found to be clustered in a duplication region of the chromosome. The promoter regions of these genes were predicted and analyzed, and multiple gene promoters were found to contain MYB binding sites, which provided a reference for the subsequent exploration of MYB target genes. At the same time, the expression levels of genes related to capsaicin synthesis were analyzed based on different transcriptomes, and it was found that these genes showed significant differences in different plant development stages and different tissues. The results of this study will be helpful to further study the synthesis mechanism of capsaicin in Capsicum chinense and the functional relationship between genes.

Supplemental material, sj-docx-1-jtt-10.1177_1357633X221122727 for Effect of telehealth interventions on anxiety and depression in cancer patients: A systematic review and meta-analysis of randomized controlled trials by Yufan Yang, Yingying Huang, Ning Dong, Liping Zhang and Shuanghong Zhang in Journal of Telemedicine and Telecare

Supplemental material, sj-docx-3-jtt-10.1177_1357633X221122727 for Effect of telehealth interventions on anxiety and depression in cancer patients: A systematic review and meta-analysis of randomized controlled trials by Yufan Yang, Yingying Huang, Ning Dong, Liping Zhang and Shuanghong Zhang in Journal of Telemedicine and Telecare

Additional file 1: Methods and supplementary figures S1 to S6.

Supplemental material, sj-doc-2-jtt-10.1177_1357633X221122727 for Effect of telehealth interventions on anxiety and depression in cancer patients: A systematic review and meta-analysis of randomized controlled trials by Yufan Yang, Yingying Huang, Ning Dong, Liping Zhang and Shuanghong Zhang in Journal of Telemedicine and Telecare

This paper focuses on the solvability of multistage pseudomonotone stochastic variational inequalities (SVIs). On one hand, some known solvability results of pseudomonotone deterministic variational inequalities cannot be directly extended to pseudomonotone SVIs, so we construct the isomorphism between both and then establish theoretical results on the existence, convexity, boundedness and compactness of the solution set for pseudomonotone SVIs via such an isomorphism. On the other hand, the progressive hedging algorithm (PHA) is an important and effective method for solving monotone SVIs, but it cannot be directly used to solve nonmonotone SVIs. We propose some sufficient conditions on the elicitability of pseudomonotone SVIs, which opens the door for applying elicited PHA to solve pseudomonotone SVIs. Numerical results on solving a pseudomonotone two-stage stochastic market optimization problem and randomly generated two stage pseudomonotone linear complementarity problems are presented to show the efficiency of the elicited PHA for solving pseudomonotone SVIs., Comment: 39 pages, 2 figures

Supplemental material, sj-docx-3-jtt-10.1177_1357633X221122727 for Effect of telehealth interventions on anxiety and depression in cancer patients: A systematic review and meta-analysis of randomized controlled trials by Yufan Yang, Yingying Huang, Ning Dong, Liping Zhang and Shuanghong Zhang in Journal of Telemedicine and Telecare

Supplemental Document

This study aimed to accurately study the intra-annual spatiotemporal variation in the surface urban heat island intensities (SUHIIs) in 1449 cities in China. First, China was divided into five environmental regions. Then, the SUHIIs were accurately calculated based on the modified definitions of the city extents and their corresponding nearby rural areas. Finally, we explored the spatiotemporal variation of the mean, maximum, and minimum values, and ranges of SUHIIs from several aspects. The results showed that larger annual mean daytime SUHIIs occurred in hot-humid South China and cold-humid northeastern China, and the smallest occurred in arid and semiarid west China. The seasonal order of the SUHIIs was summer > spring > autumn > winter in all the temperate regions except west China. The SUHIIs were obviously larger during the rainy season than the dry season in the tropical region. Nevertheless, significant differences were not observed between the two seasons within the rainy or dry periods. During the daytime, the maximum SUHIIs mostly occurred in summer in each region, while the minimum occurred in winter. A few cold island phenomena existed during the nighttime. The maximum SUHIIs were generally significantly positively correlated with the minimum SUHIIs during the daytime, nighttime and all-day in all environmental regions throughout the year and the four seasons. Moreover, significant correlation scarcely existed between the daytime and nighttime ranges of the SUHIIs. In addition, the daytime SUHIIs were also insignificantly correlated with the nighttime SUHIIs in half of the cases.

Bodyweight loss and rumen microbial dysfunction of grazing sheep was a challenge for the sheep production industry during cold season, which were considered to correlated with under-roughage-feeding. The objective of our research was to assess the role of Alfalfa hay supplementary intake in roughage in ewes’ rumen fermentation and microbial function. 120 ewes were allocated randomly into 4 groups, and were fed with different level of alfalfa hay, respectively. Individual ewes’ bodyweight, blood biochemical indexes and rumen microbial characteristics were analyzed after the end of feeding trials. The results showed that alfalfa hay supplementary could significantly enhance sheep body weight, nitrogen components (Total-N, Soluble protein-N and Ammonia-N), blood biochemical indices (LDH, BUN and CHO) and ruminal volatile fatty acids (P

Introduction and Importance: There have been few studies in the literature that report patient have triple combined procedures done via minimally invasive approaches. We report a co-management SMC intervention helped an 88-years-old patient with multiple surgery risk factors have combined procedures done via robotic-assisted approaches at one sitting with excellent surgical outcomes. Case presentation We describe the surgical and medical co-management (SMC) intervention of a 88-year-old male patient who was found to have colonic carcinoma, right renal carcinoma, gall bladder stones, hypertension, plumonary interstital fibrosis, atrioventricular block. The patient underwent simultaneous triple robotic-assisted laparoscopic surgery procedure consisting of right partial nephrectomy, right hemicolecomy and cholecystectomy using robot. Perioperative optimization approach was recommended and planned after consultation with group comprises internists and surgeons. The internists rounds on the patient daily and helps to manage all chronic medical comorbidities. He was discharged without any severe complications. Conclusions This case shows the feasibility and safety of the synchronously triple robotic surgical treatments, with clinic outcomes that is better with that of the separately. SMC approach may maximize therapy efficiency and patient recovery in elder patients with chronic disease who has significantly higher postoperative complications., Highlights • We believe this to be a very rare case report of the surgical and medical co-management (SMC) intervention of a patient who was performed a triple simultaneous robotic-assisted resection in an 88-years-old patient with multiple surgery risk factors. • This case shows the feasibility and safety of the synchronously triple robotic surgical treatments, with clinic outcomes that is better with that of the separately for colon cancer ,renal cancer and gallstones.

Purpose The effects of fertilization of tea plantations on soil quality and the diversity and composition of microbial communities have received increased attention in recent years. Despite their important role as decomposers of organic matter, the responses of soil fungi to fertilization and soil fertility, particularly in subsoils, remain unknown. In this study, the effects of land-use change and fertilization on fungal diversity and function in both of topsoil and subsoils were evaluated.Methods We sampled soil profiles (0–60 cm) from tea plantations in southeastern China with low, moderate, and high inputs of mineral and organic fertilizers, as well as a nearby natural (unfertilized) forest. 18s rRNA Illumina sequencing was used to evaluate how soil fertility and land-use impacted fungal diversity and function. Results Following conversion from forest to tea plantation, soil fungal diversity increased with fertility in topsoil but declined in subsoils, resulting in significant vertical variation in highly fertile soils. The dominant fungal groups shifted from Solicoccozyma and Trichoderma in the forest to Pseudogymnoascus and Umbelopsis in tea plantation soils. Relative abundance of Pseudogymnoascus increased with soil fertility, while Mortierella and opportunistic saprotrophs exhibited the opposite pattern. Fungal network complexity was enhanced in topsoil under increased soil fertility, but decreased in the subsoil, suggesting an increased selective effect along the soil horizon. Land-use changes have altered the dominant fungal groups, particularly in topsoil. Soil fertility not only regulated fungal diversity but also shifted community composition toward that found in the forest. With increased soil fertility, plants have a greater influence on the soil fungal community.

Phenyllactate (PLA) is found in a variety of fermented foods and is a promising antibacterial agent, drug and plastic synthetic precursor. Previous studies have shown that PLA is a product of Phe catabolism in lactic acid bacteria (LAB), and PLA biosynthesis is mainly related to lactate dehydrogenases (LDHs). Here, the genome, transcriptome and fermentation characteristics of PLA-producing Lactobacillus plantarum LY-78 were studied. The fermentation experiments demonstrated that L. plantarum LY-78 possesses the ability to synthesize PLA de novo. Secondly, the genome and transcriptome analyses revealed candidate pathways, operons and key genes for PLA biosynthesis in the strain. Finally, genome-wide transcriptome analysis revealed significant changes in the expression profile of strain LY-78 in the absence and presence of PPA. Overall, this work demonstrates for the first time that PLA can be a by-product of Phe anabolism in LAB, provides new insights and evidence for elucidating the mechanism of PLA biosynthesis in LAB, and may provide new candidate genes and research strategies for future PLA biosynthesis applications.

Flavonoids are the most abundant polyphenols in tea (Camellia sinensis L.) with diverse medicinal values and stress adaptive roles. Flavonoid biosynthesis is largely influenced by environmental factors, including high atmospheric CO2. Although accumulation of certain flavonoids in tea leaves can be triggered by high CO2, the underlying mechanisms remain far from being substantiated. Despite the involvement of salicylic acid (SA) and nitric oxide (NO) in plant responses to biotic and abiotic stressors under high CO2, their roles in high CO2-induced plant secondary metabolism remain largely unknown, particularly in tea plants. This study revealed that the exposure of tea plants to high CO2 levels (550 and 800 μmol mol−1) rapidly increased the concentrations of flavonoid, SA and NO. Exogenous SA and sodium nitroprusside (a NO donor) increased flavonoid concentration only at ambient CO2 (400 μmol mol−1) but not at elevated CO2. Furthermore, suppression of endogenous SA by its biosynthesis inhibitor paclobutrazol and scavenging of NO by cPTIO (4-carboxyphenyl-4,4,5,5-tetramethylimidazoline-1-oxyl-3-oxide) reduced flavonoid concentration and phenylalanine ammonia-lyase activity under elevated CO2. While the scavenging of NO showed no effect on endogenous SA levels, SA deficiency attenuated elevated CO2-induced NO accumulation, suggesting that SA acts upstream of NO in elevated CO2-induced flavonoid biosynthesis. Notably, NO levels in SA-suppressed plants were several times greater than that of cPTIO-treated plants, indicating that SA-independent NO production might have a contribution to total NO accumulation under elevated CO2. This study unraveled the functional hierarchy and relationships of SA and NO in elevated CO2-induced flavonoid biosynthesis in tea leaves.

In this work, a novel dispersant was prepared using the dichlorotriazine azo moiety (DCT) of 1-amino-4-[3-(4,6-dichlorotriazin-2-ylamino)-4-sulfophenylamino] anthraquinone-2-sulfonic acid (C. I. Reactive Blue 4) and Dodecan-1-ol (DDL) via a nucleophilic substitution reaction. The prepared dispersant was characterized by FTIR and 1H-NMR. The properties and dispersing ability of the novel dispersant was further investigated. The prepared dispersant was employed as novel dispersants for pigment dispersion in solvent-based printing ink application. The mechanical and optical properties of prepared dispersion were studied. The novel dispersant showed good optical and mechanical properties and possessed excellent dispersing ability for C.I. Pigment Blue 15:3, with good centrifuge and storage stability.

At present, twice-a-year pruning is usually adopted for the tea garden, in which only spring tea is picked. Effects of different times and heights of summer pruning on tea trees are unknown. Here the effects of summer pruning on ‘Jin Guan Yin’ oolong mature tea trees were studied. The results showed that pruning at 30 cm (summer pruning at 30 cm above the cut surface of spring pruning) on Jul 25 could benefit to the growth of lateral branches, whereas two pruning treatments in August reduced their growth vigor. Pruning at 30 cm could also provide a benefit by decreasing the ratio of total tea polyphenols to free amino acids (TP/AA), an important factor in tea quality. Pruning at 30 cm and two pruning in August all significantly enhanced the contents of ester catechins [‘(−)-epigallocatechin gallate (EGCG) + (−)-epicatechin gallate (ECG)’] as compared to conventional summer pruning. Pruning on Aug 15 (summer pruning at 20 cm on Aug 15) had the lowest (EGCG + ECG)%. In addition, enhanced AA content induced by pruning at 30 cm was significantly associated with enhanced transcription of glutamine synthetase (CsGS) or glutamine:2-oxoglutarate aminotransferase (CsGOGAT). In a word, the summer pruning at 30 cm on Jul 25 was best to benefit the growth of lateral branches and spring tea yield and quality, whereas pruning on Aug 15 had the worst comprehensive effects.

Motivated by the problems raised by B\"{u}rgisser and Ikenmeyer, we discuss two classes of minimal generic fundamental invariants for tensors of order 3. The first one is defined on $\otimes^3 \mathbb{C}^m$, where $m=n^2-1$. We study its construction by obstruction design introduced by B\"{u}rgisser and Ikenmeyer, which partially answers one problem raised by them. The second one is defined on $\mathbb{C}^{\ell m}\otimes \mathbb{C}^{mn}\otimes \mathbb{C}^{n\ell}$. We study its evaluation on the matrix multiplication tensor $\langle\ell,m,n\rangle$ and unit tensor $\langle n^2 \rangle$ when $\ell=m=n$. The evaluation on the unit tensor leads to the definition of Latin cube and 3-dimensional Alon-Tarsi problem. We generalize some results on Latin square to Latin cube, which enrich the understanding of 3-dimensional Alon-Tarsi problem. It is also natural to generalize the constructions to tensors of other orders. We illustrate the distinction between even and odd dimensional generalizations by concrete examples. Finally, some open problems in related fields are raised., Comment: Some typos were changed.One reference was added

Great achievements in last five years, such as record-efficient amorphous/crystalline silicon heterojunction (SHJ) solar cells and cutting-edge perovskite/SHJ tandem solar cells, place hydrogenated amorphous silicon (a-Si:H) at the forefront of emerging photovoltaics. Due to the extremely low doping efficiency of trivalent boron (B) in amorphous tetravalent silicon, light harvesting of aforementioned devices are limited by their fill factors (FF), which is a direct metric of the charge carrier transport. It is challenging but crucial to develop highly conductive doped a-Si:H for minimizing the FF losses. Here we report intensive light soaking can efficiently boost the dark conductance of B-doped a-Si:H "thin" films, which is an abnormal Staebler-Wronski effect. By implementing this abnormal effect to SHJ solar cells, we achieve a certificated power conversion efficiency (PCE) of 25.18% (26.05% on designated area) with FF of 85.42% on a 244.63-cm2 wafer. This PCE is one of the highest reported values for total-area "top/rear" contact silicon solar cells. The FF reaches 98.30 per cent of its Shockley-Queisser limit., Comment: 34 pages, 4 figures in main context,11 figures in supplementary materials

Vaccination uptake of influenza vaccine, 23-valent pneumococcal polysaccharide vaccine (PPV23) and herpes zoster vaccine (HZV) remains low among Chinese aged 50–69 years, posing a significant public health concern. This study’s aim is to determine the gap between the vaccination willingness and uptake. We conducted a face-to-face questionnaire survey among the persons aged 50–69 years in 13 communities in Shanghai in November–December 2020 to measure vaccination willingness, vaccine price sensitivity, vaccination service accessibility, and vaccine hesitancy. Then, we explored the factors influencing the vaccination uptake using a structural equation model. Vaccination willingness was 70.5% (self-paid influenza vaccine), 79.4% (free PPV23 for local persons), 54.7% (self-paid PPV23 for non-local persons), and 16.6% (self-paid HZV); however, actual uptake was 10.8% (influenza vaccine), 11.0% (free PPV23), and 2.5% (self-paid PPV23). Moreover, vaccination uptake was strongly influenced by service accessibility (β = 0.941), followed by willingness (β = 0.201), price sensitivity (β = −0.188), and medical history of vaccine-preventable diseases and underlying diseases (β = 0.176). Related knowledge (β = 0.017) and vaccine hesitancy (β = −0.003) affected the uptake indirectly. There is a gap between the vaccination willingness and uptake in Chinese elderly. It warrants specific measures, including increasing service accessibility and reforming payment mechanism, to bridge the gap.

Additional file 3.

It is challenging to recover the large-scale internet traffic data purely from the link measurements. With the rapid growth of the problem scale, it will be extremely difficult to sustain the recovery accuracy and the computational cost. In this work, we propose a new Sparsity Low-Rank Recovery (SLRR) model and its Schur Complement Based semi-proximal Alternating Direction Method of Multipliers (SCB-spADMM) solver. Our approach distinguishes itself mainly for the following two aspects. First, we fully exploit the spatial low-rank property and the sparsity of traffic data, which are barely considered in the literature. Our model can be divided into a series of subproblems, which only relate to the traffics in a certain individual time interval. Thus, the model scale is significantly reduced. Second, we establish a globally convergent ADMM-type algorithm inspired by [Li et al., Math. Program., 155(2016)] to solve the SLRR model. In each iteration, all the intermediate variables' optimums can be calculated analytically, which makes the algorithm fast and accurate. Besides, due to the separability of the SLRR model, it is possible to design a parallel algorithm to further reduce computational time. According to the numerical results on the classic datasets Abilene and GEANT, our method achieves the best accuracy with a low computational cost. Moreover, in our newly released large-scale Huawei Origin-Destination (HOD) network traffics, our method perfectly reaches the seconds-level feedback, which meets the essential requirement for practical scenarios.

The theory of eigenvalues and eigenvectors is one of the fundamental and essential components in tensor analysis. Computing the dominant eigenpair of an essentially nonnegative tensor is an important topic in tensor computation because of the critical applications in network resource allocations. In this paper, we consider the aforementioned topic and there are two main contributions. First, we show that an irreducible essentially nonnegative tensor has a unique positive dominant eigenvalue with a unique positive normalized eigenvector. Second, we present a homotopy method to compute the dominant eigenpair and prove that it converges to the desired dominant eigenpair whether the given tensor is irreducible or reducible based on an approximation technique. Finally, we implement the method using a prediction-correction approach for path following and some numerical results are reported to illustrate the efficiency of the proposed algorithm., Comment: 22 pages, 0 figure

Additional file 2: Table S1. The RACE PCR primers for CsA-IPT gene. Table S2. Primer combination used for RACE PCR of CsA-IPT gene. Table S3. Primer sequences used for real-time quantitative PCR (qPCR) of CsA-IPT5 AS variants and housekeeping gene of tea plant. Table S4. The total CsA-IPT5 transcipts and the expression ratio of each splice variant in the internode induced by 6-BA application.

Additional file 1: Figure S1. The 3��� RACE and 5��� RACE PCR amplification of tea plant CsA-IPT. Figure S2. Analysis of the ORF and regulatory elements of the full-length cDNA of CsA-IPT. Figure S3. Multiple sequence alignment of the nucleotide sequences among the cloned full-length CsA-IPT cDNA in cv. Longjing 43 and the reported CsA-IPT5 in cv. Shuchazao, and phylogenetic tree construction of A-IPT in several plant species. Figure S4. Alignment of 5��� RACE and 3��� RACE AS of tea plant CsA-IPT5, respectively. Figure S5. The nucleotide sequences and specific motifs in the GFP fluorescence of CsA-IPT5 UTR splice variants. Figure S6. The qPCR detection of GFP. Data are means ��standard deviation (SD) (n = 6). In each figure, letters indicate significant differences among the GFP constructs (P

We address the propagation of vortex beams with the circular Airy-Gaussian shape in a (2+1)-dimensional optical waveguide modeled by the fractional nonlinear Schrodinger equation. Systematic analysis of autofocusing of the beams reveals a strongly non-monotonous dependence of the peak intensity in the focal plane on the corresponding Levy index, with a strong maximum at alpha =1.4. Effects of the nonlinearity strength, the ratio of widths of the Airy and Gaussian factors in the input, as well as the beam vorticity, on the autofocusing dynamics are explored. In particular, multiple autofocusing events occur if the nonlinearity is strong enough. Under the action of the azimuthal modulational instability, an axisymmetric beam may split into a set of separating bright spots. In the case of strong fractality (for alpha close to 1), the nonlinear beam self-traps, after the first instance of autofocusing, into a breathing vortical quasi-soliton. Radiation forces induced by the beam field are considered too, and a capture position for a probe nanoparticle is thus identified., 17pages,11figures,to be published in J. Opt. Soc. Am. B

Additional file 1: Table S1. Primers of qRT-PCR for validation of the reliability of RNA-seq analysis. Table S2. Primers of qRT-PCR for validation of the seven DEGs involved in sesquiterpenoid and triterpenoid biosynthetic pathway.