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Premium-tasty japonica rice, distinguished by its unique flavor and enriched nutritional value, has attracted significant attention across Asia. Nitrogen metabolism plays a crucial role in determining the growth, development, and quality of rice grains. This study investigates the effects of nitrogen application rates on the enzymatic activities related to nitrogen metabolism, nitrogen metabolites, and grain protein content in the premium-tasty japonica rice variety, Suxiangjing 100. Using a range of nitrogen application rates (0, 80, 160, 240, 320, and 400 kg per hectare), comprehensive analyses were conducted across various developmental stages. Results indicate that as nitrogen application increased, there were distinct patterns in the enzyme activities and metabolite concentrations related to nitrogen metabolism in the leaves of premium-tasty japonica rice. The activities of nitrate reductase (NR), glutamine synthetase (GS), and glutamate synthase (GOGAT) peaked at moderate nitrogen applications, while excessive nitrogen led to a decrease in their activities. The activity of Glutamate Dehydrogenase (GDH) generally increased, but showed a decline after the filling stage. With increasing nitrogen application, the concentrations of nitrate nitrogen (NO3–N), ammonium nitrogen (NH4–N), free amino acids (FAA), and soluble proteins (SP) initially rose but declined at excessive application rates. The grain protein content increased, with levels of prolamin, glutelin, and globulin peaking at nitrogen applications of 240 kg/ha and 320 kg/ha, while changes in albumin levels were minimal. This study not only provides novel insights into the role of nitrogen in shaping the growth and quality of premium-tasty japonica rice, but also suggests refined nitrogen management strategies for sustainable agricultural practices. [ABSTRACT FROM AUTHOR]

Tensor ring (TR) decomposition is an efficient approach to discover the hidden low-rank patterns in higher-order tensors, and streaming tensors are becoming highly prevalent in real-world applications. In this paper, we investigate how to track TR decompositions of streaming tensors. An efficient algorithm is first proposed. Then, based on this algorithm and randomized sketching techniques, we present a randomized streaming TR decomposition. The proposed algorithms make full use of the structure of TR decomposition, and the randomized version can allow any sketching type. Theoretical results on sketch size are provided. In addition, the complexity analyses for the obtained algorithms are also given. We compare our proposals with the existing batch methods using both real and synthetic data. Numerical results show that they have better performance in computing time with maintaining similar accuracy. [ABSTRACT FROM AUTHOR]

Diversifying feed with annual legumes could help to reduce reliance on imported sources of alfalfa hay, ensuring a consistent supply of forage throughout year, and potentially decreasing the cost of raising ruminants. This study evaluated the varietal variability in hay yield, chemical composition, carbohydrate and protein fractions, and in vitro digestibility of five common vetch varieties used in this experiment during the full-flowering period in Jianghuai region during the 2022 crop season. Results showed that improved varieties (Lanjian No. 1 and Lanjian No. 2, 6.30 and 6.11 t DM/ha) had significantly higher hay yields than the local variety (333A, Longjian No. 1), with Lanjian No. 3 showing intermediate yields. Variety Lanjian No. 1 had the highest non-protein nitrogen concentration and in vitro digestibility, while Lanjian No. 2 had the highest starch concentration, fraction of intermediately degradable pectin and starch, and fraction of neutral detergent-soluble protein and acid detergent-soluble protein. Pearson correlation showed that hay yield was not significantly correlated with quality parameters. Principal component analysis showed that Lanjian No. 1 and Lanjian No. 2 received higher nutritive value. In summary, Lanjian No. 1 and Lanjian No. 2 had better potential use as high-protein feedstuffs for dairy cattle and sheep in the Jianghuai region based on yield, protein fractions, and in vitro digestibility. [ABSTRACT FROM AUTHOR]

Based on sketching techniques, we propose two practical randomized algorithms for tensor ring (TR) decomposition. Specifically, on the basis of defining new tensor products and investigating their properties, the two algorithms are devised by applying the Kronecker sub‐sampled randomized Fourier transform and TensorSketch to the alternating least squares subproblems derived from the minimization problem of TR decomposition. From the former, we find an algorithmic framework based on random projection for randomized TR decomposition. We compare our proposals with the existing methods using both synthetic and real data. Numerical results show that they have quite decent performance in accuracy and computing time. [ABSTRACT FROM AUTHOR]

The remove–compute–restore (RCR) approach is widely used in local quasi-geoid modeling. However, the classical RCR approach usually does not take into account the noise of the satellite-only global gravity field model (GGM), which may lead to a suboptimal result. This paper presents an approach for local quasi-geoid modeling based on spherical radial basis functions that combines local noisy datasets and a noisy satellite-only GGM. This approach includes an RCR procedure using a satellite-only GGM. This is a direct approach that takes the spherical harmonic coefficients of satellite-only GGM as a noisy dataset and includes the corresponding full-noise covariance matrix in the least-squares estimation, aiming to obtain a statistically optimal local quasi-geoid model. The direct approach goes beyond the indirect approach, which treats the height anomalies generated from the satellite-only GGM as a noisy dataset. However, the generated GGM height anomaly dataset is not an equivalent representation of the satellite-only GGM, which may result in the loss of information from the satellite-only GGM. Through mathematical deduction, we demonstrate the theoretical consistency between the direct approach and the indirect approach. The direct approach also has an advantage over the indirect approach in terms of computational complexity due to the simpler algorithm. We conducted a synthetic closed-loop test with a real data distribution in Colorado, and numerical results demonstrated the advantage of the direct approach in local quasi-geoid modeling. In terms of the root mean square of the differences between the predicted values and the true reference values, the direct approach provided an improvement of approximately 14% compared to the indirect approach. [ABSTRACT FROM AUTHOR]

Tensor ring (TR) decomposition has been widely applied as an effective approach in a variety of applications to discover the hidden low‐rank patterns in multidimensional and higher‐order data. A well‐known method for TR decomposition is the alternating least squares (ALS). However, solving the ALS subproblems often suffers from high cost issue, especially for large‐scale tensors. In this paper, we provide two strategies to tackle this issue and design three ALS‐based algorithms. Specifically, the first strategy is used to simplify the calculation of the coefficient matrices of the normal equations for the ALS subproblems, which takes full advantage of the structure of the coefficient matrices of the subproblems and hence makes the corresponding algorithm perform much better than the regular ALS method in terms of computing time. The second strategy is to stabilize the ALS subproblems by QR factorizations on TR‐cores, and hence the corresponding algorithms are more numerically stable compared with our first algorithm. Extensive numerical experiments on synthetic and real data are given to illustrate and confirm the above results. In addition, we also present the complexity analyses of the proposed algorithms. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the preference of primary HCWs and residents on vaccination consultation in community health services to provide evidence for vaccine hesitancy intervention strategies. Methods: A discrete choice model (DCM) was constructed to evaluate the preference difference between primary HCWs and residents on vaccination consultation in community health services in China during May–July 2022. Results: A total of 282 residents and 204 HCWs were enrolled in this study. The residents preferred consulting with an HCW-led approach (β = 2.168), with specialized content (β = 0.954), and accompanied by telephone follow-up (β = 1.552). In contrast, the HCWs preferred face-to-face consultation (β = 0.540) with an HCW-led approach (β = 0.458) and specialized content (β = 0.409), accompanied by telephone follow-up (β = 0.831). College residents and residents with underlying self-reported disease may be near-critically inclined to choose traditional consultation (an offline, face-to-face consultation with standardized content and more prolonged duration) rather than a new-media consulting group (an online consultation with specialized content within 5 min). Urban HCWs preferred long-term consultation groups (the resident-led offline consultation with follow-up lasting more than 5 min). In contrast, rural HCWs preferred efficient consultation (the HCW-led, short-duration, standardized offline consultation mode). Conclusion: The selection preference for vaccine consultation reveals a gap between providers and demanders, with different groups exhibiting distinct preferences. Identifying these targeted gaps can help design more acceptable and efficient interventions, increasing their likelihood of success and leading to better resource allocation for policymakers to develop targeted vaccination policies. [ABSTRACT FROM AUTHOR]

On August 20, 2019, a catastrophic debris flow occurred in the Cutou catchment, leading to the formation of a dam in the Min River. This debris barrier triggered a chain of multiple hazards, resulting in widespread flooding of houses upstream and downstream. To understand and assess the impact of this hazard chain, we conducted a comprehensive study using numerical modeling, field survey, the solid material reserve, and the probabilistic method. We began by conducting a detailed investigation of the 2019 event and calibrated the model parameters using survey data. Subsequently, we simulated and analyzed the entire process of hazard chain event, which was divided into four stages by the characteristics of water level. Finally, we developed a comprehensive and efficient approach for hazard assessment using the solid material reserve method and the probabilistic method. This approach enabled us to generate a hazard distribution map for the debris flow chain, providing valuable insights for effective hazard prevention in the Wenchuan area. [ABSTRACT FROM AUTHOR]

One popular way to compute the CANDECOMP/PARAFAC (CP) decomposition of a tensor is to transform the problem into a sequence of overdetermined least squares subproblems with Khatri-Rao product (KRP) structure involving factor matrices. In this work, based on choosing the factor matrix randomly, we propose a mini-batch stochastic gradient descent method with importance sampling for those special least squares subproblems. Two different sampling strategies are provided. They can avoid forming the full KRP explicitly and computing the corresponding probabilities directly. The adaptive step size version of the method is also given. For the proposed method, we present its theoretical properties and comprehensive numerical performance. The results on synthetic and real data show that our method is effective and efficient, and for unevenly distributed data, it performs better than the corresponding one in the literature. [ABSTRACT FROM AUTHOR]

Objective: To estimate whether genetically proxied periodontitis causally impacts the brain cortical structure using Mendelian randomization (MR). Background: Periodontitis is one of the most prevalent inflammatory conditions globally, and emerging evidence has indicated its influences on distal organs, including the brain, whose disorders are always accompanied by magnetic resonance imaging (MRI)‐identified brain cortical changes. However, to date, no available evidence has revealed the association between periodontitis and brain cortical structures. Methods: The instrumental variables (IVs) were adopted from previous genome‐wide association study (GWAS) studies and meta‐analyses of GWAS studies of periodontitis from 1844 to 5266 cases and 8255 to 12 515 controls. IVs were linked to GWAS summary data of 51 665 patients from the ENIGMA Consortium, assessing the impacts of genetically proxied periodontitis on the surficial area (SA) or the cortical thickness (TH) of the global and 34 MRI‐identified functional regions of the brain. Inverse‐variance weighted was used as the primary estimate; the MR pleiotropy residual sum and outlier (MR‐PRESSO), the MR–Egger intercept test, and leave‐one‐out analyses were used to examine the potential horizontal pleiotropy. Results: Genetically proxied periodontitis affects the SA of the medial orbitofrontal cortex, the lateral orbitofrontal cortex, the inferior temporal cortex, the entorhinal cortex, and the temporal pole, as well as the TH of the entorhinal. No pleiotropy was detected. Conclusions: Periodontitis causally influences the brain cortical structures, implying the existence of a periodontal tissue–brain axis. [ABSTRACT FROM AUTHOR]

Objectives: Dental caries is one of the most prevalent oral diseases and causes of tooth loss. Cross-sectional studies observed epidemiological associations between dental caries and brain degeneration disorders, while it is unknown whether dental caries causally affect the cerebral structures. This study tested whether genetically proxied DMFS (the sum of Decayed, Missing, and Filled tooth Surfaces) causally impacts the brain cortical structure using Mendelian randomization (MR). Methods: The summary-level GWAS meta-analysis data from the GLIDE consortium were used for DMFS, including 26,792 participants. ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) consortium GWAS summary data of 51,665 patients were used for brain structure. This study estimated the causal effects of DMFS on the surface area (SA) and thickness (TH) of the global cortex and functional cortical regions accessed by magnetic resonance imaging (MRI). Inverse-variance weighted (IVW) was used as the primary estimate, the MR pleiotropy residual sum and outlier (MR-PRESSO), the MR-Egger intercept test, and leave-one-out analyses were used to examine the potential horizontal pleiotropy. Results: Genetically proxied DMFS decreases the TH of the banks of the superior temporal sulcus (BANSSTS) with or without global weighted (weighted, β = − 0.0277 mm, 95% CI: − 0.0470 mm to − 0.0085 mm, P = 0.0047; unweighted, β = − 0.0311 mm, 95% CI: − 0.0609 mm to − 0.0012 mm, P = 0.0412). The causal associations were robust in various sensitivity analyses. Conclusions: Dental caries causally decrease the cerebral cortical thickness of the BANKSSTS, a cerebral cortical region crucial for language-related functions, and is the most affected brain region in Alzheimer's disease. This investigation provides the first evidence that dental caries causally affects brain structure, proving the existence of teeth-brain axes. This study also suggested that clinicians should highlight the causal effects of dental caries on brain disorders during the diagnosis and treatments, the cortical thickness of BANKSSTS is a promising diagnostic measurement for dental caries-related brain degeneration. [ABSTRACT FROM AUTHOR]

Silicide ceramics are attracted significant attention due to their exceptional physical properties. However, their inherent brittleness at room temperature limits their practical applications. Here, we aim to improve the mechanical properties of tantalum disilicide (TaSi2) ceramics by modifying the preparation methods and sintering conditions. We fabricate the dense TaSi2 ceramics using high‐pressure and high‐temperature (HPHT) sintering technology at 5.5 GPa and 800–1300°C. We characterize the microstructures, mechanical, and electronic properties of bulk TaSi2 ceramics at HPHT conditions. Our results indicate an enhancement in the fracture toughness of 11.97 MPa m1/2 for TaSi2 ceramics. More importantly, the electrical conductivity (47.13 × 105 S/m) of TaSi2 ceramic is increased and verified by theoretical calculations. These findings provide crucial insights for future applications of TaSi2 and offer valuable avenues for the design and synthesis of advanced ceramic materials. [ABSTRACT FROM AUTHOR]

Spherical radial basis function (SRBF) is an effective method for calculating regional gravity field models. Calculating gravity field models with high accuracy and resolution requires dense basis functions, resulting in complex models. This study investigated the application of sparse regularization in SRBFs-based regional gravity field modeling. L1-norm regularization, also known as the least absolute shrinkage selection operator (LASSO), was employed in the parameter estimation procedure. LASSO differs from L2-norm regularization in that the solution obtained by LASSO is sparse, specifically with a portion of the parameters being zero. A sparse model would be advantageous for improving the numerical efficiency by reducing the number of SRBFs. The optimization problem of the LASSO was solved using the fast iterative shrinkage threshold algorithm, which is known for its high efficiency. The regularization parameter was selected using the Akaike information criterion. It was specifically tailored to the L1-norm regularization problem. An approximate covariance matrix of the estimated parameters in the sparse solution was analytically constructed from a Bayesian viewpoint. Based on the remove–compute–restore technique, a regional geoid model of Colorado (USA) was calculated. The numerical results suggest that the LASSO adopted in this study provided competitive results compared to Tikhonov regularization; however, the number of basis functions in the final model was less than 25% of the Tikhonov regularization. Without significantly reducing model accuracy, the LASSO solution provides a very simple model. This is the first study to apply the LASSO to SRBFs-based modeling of the regional gravity field in real gravity observation data. [ABSTRACT FROM AUTHOR]

After tissue damage, a series of molecular and cellular events are initiated to promote tissue repair and regeneration to restore its original structure and function. These events include inter-cell communication, cell proliferation, cell migration, extracellular matrix differentiation, and other critical biological processes. Glycosylation is the crucial conservative and universal post-translational modification in all eukaryotic cells [1], with influential roles in intercellular recognition, regulation, signaling, immune response, cellular transformation, and disease development. Studies have shown that abnormally glycosylation of proteins is a well-recognized feature of cancer cells, and specific glycan structures are considered markers of tumor development. There are many studies on gene expression and regulation during tissue repair and regeneration. Still, there needs to be more knowledge of complex carbohydrates' effects on tissue repair and regeneration, such as glycosylation. Here, we present a review of studies investigating protein glycosylation in the tissue repair and regeneration process. [ABSTRACT FROM AUTHOR]

(1) Background: To explore the influencing factors of human papillomavirus (HPV) vaccination among mothers and daughters so as to provide evidence and strategies for improving the HPV vaccination rate of 9–18-years-old girls. (2) A questionnaire survey was conducted among the mothers of 9–18-year-old girls from June to August 2022. The participants were divided into the mother and daughter vaccinated group (M1D1), the mother-only vaccinated group (M1D0), and the unvaccinated group (M0D0). Univariate tests, the logistic regression model, and the Health Belief Model (HBM) were employed to explore the influencing factors. (3) Results: A total of 3004 valid questionnaires were collected. According to the regions, Totally 102, 204, and 408 mothers and daughters were selected from the M1D1, M1D0, and M0D0 groups, respectively. The mother having given her daughter sex education (OR = 3.64; 95%CI 1.70, 7.80), the mother's high perception of disease severity (OR = 1.79; 95%CI 1.02, 3.17), and the mother's high level of trust in formal information (OR = 2.18; 95%CI 1.26, 3.78) were all protective factors for both the mother and her daughter's vaccination. The mother's rural residence (OR = 0.51; 95%CI 0.28, 0.92) was a risk factor for vaccination of both mother and daughter. The mother's education of high school or above (OR = 2.12; 95%CI 1.06, 4.22), the mother's high level of HPV and HPV vaccine knowledge (OR = 1.72; 95%CI 1.14, 2.58), and the mother's high level of trust in formal information (OR = 1.72; 95%CI 1.15, 2.57) were protective factors of mother-only vaccination. The older the mother (OR = 0.95; 95%CI 0.91, 0.99) was classed as a risk factor for mother-only vaccination. "Waiting until the daughters are older to receive the 9-valent vaccine" is the main reason why the daughters of M1D0 and M0D0 are not vaccinated". (4) Chinese mothers had a high willingness to vaccinate their daughters with the HPV vaccine. The higher education level of the mother, giving sex education to the daughter, the older ages of mothers and daughters, the mother's high level of HPV and HPV vaccine knowledge, a high level of perception of the disease severity, and a high level of trust in formal information were promoting factors of HPV vaccination for mother and daughter, and rural residence was a risk factor to vaccination. To promote HPV vaccination in girls from 9–18 years old, communities could provide health education to rural mothers with low education levels; the government could advocate for HPV vaccination through issuing policy documents; and doctors and the CDC could popularize the optimal age for HPV vaccination to encourage mothers to vaccinate their daughters at the age of 9–14 years old. [ABSTRACT FROM AUTHOR]

Receptor-interacting protein kinase 1 (RIPK1) has emerged as a key regulator of cell death and inflammation, which are implicated in the pathogenesis of many inflammatory and degenerative diseases. RIPK1 is therefore a putative therapeutic target in many of these diseases. However, no pharmacological inhibitor of RIPK1-mediated cell death is currently in clinical use. Recognizing that a repurposed drug has an expedited clinical development pipeline, here we performed a high-throughput drug screen of Food and Drug Administration (FDA)-approved compounds and identified a novel use for crizotinib as an inhibitor of RIPK1-dependent cell death. Furthermore, crizotinib rescued TNF-α-induced death in mice with systemic inflammatory response syndrome. RIPK1 kinase activity was directly inhibited by crizotinib. These findings identify a new use for an established compound and are expected to accelerate drug development for RIPK1-spectrum disorders. [ABSTRACT FROM AUTHOR]

For tensor linear systems with respect to the popular t‐product, we first present the sketch‐and‐project method and its adaptive variants. Their Fourier domain versions are also investigated. Then, considering that the existing sketching tensor or way for sampling has some limitations, we propose two improved strategies. Convergence analyses for the methods mentioned above are provided. We compare our methods with the existing ones using synthetic and real data. Numerical results show that they have quite decent performance in terms of the number of iterations and running time. [ABSTRACT FROM AUTHOR]

We present a pathwise deep Backward Stochastic Differential Equation (BSDE) method for Forward Backward Stochastic Differential Equations with terminal conditions that time-steps the BSDE backwards and apply it to the differential rates problem as a prototypical nonlinear problem of independent financial interest. The nonlinear equation for the backward time-step is solved exactly or by a Taylor-based approximation. This is the first application of such a pathwise backward time-stepping deep BSDE approach for problems with nonlinear generators. We extend the method to the case when the initial value of the forward components X can be a parameter rather than fixed and similarly to also learn values at intermediate times. We present numerical results for a call combination and for a straddle, the latter comparing well to those obtained by Forsyth and Labahn with a specialized PDE solver. [ABSTRACT FROM AUTHOR]

Purpose: To observe the characteristics of highly myopic macular holes (HMMHs) with macular retinoschisis (MRS) by optical coherence tomography (OCT) and explore the possible relationship between HMMHs and different types of MRS. Methods: We consecutively reviewed the clinical data and OCT images of the patients with HMMHs from June 2015 to February 2021. Then we picked eyes with MRS from these HMMHs for analysis. The minimum linear diameter (MLD), basal diameter (BD), and height (H) of HMMHs were measured. HMMHs were grouped according to the extent or layer involvement of the concomitant MRS and the characteristics were compared among groups. The impact of MRS on the MLD of macular hole was analyzed with multivariable linear regression. Results: We included 127 patients with MRS from 168 HMMHs (75.5%) for analysis. According to the different classification systems, the most frequent type of MRS in HMMHs was S3 (foveal but not entire macular area MRS) (62.2%) and both inner- and outer- (I/O-MRS) involved types. In our study, HMMHs with more extensive MRS had larger MLD, larger BD, larger H, and poorer best-corrected visual acuity (BCVA). Meanwhile, HMMHs with outer layer-involved MRS (outer MRS and I/O-MRS) had larger BD than HMMH with only inner layer-involved MRS. (All P < 0.05) Multivariable linear regression further illustrated only the extent of MRS was significantly associated with the MLD of HMMH, while there was no significant correlation between the involved retinal layers and the MLD of HMMH. Conclusion: HMMH with MRS presented as a predominant type in HMMHs. The MRS was always with a relatively large extent and involved both inner and outer layers. MLD of HMMH was mainly affected by the extent of MRS. [ABSTRACT FROM AUTHOR]

The regeneration of injured tissues is a complex physiological process. The immune system plays an indispensable role in the regeneration process and internal environment stability of damaged tissues. Heavy immune cell infiltration during wound healing stages of regeneration, aggregation of immune cells not only help to remove cell debris, but also secrete chemokines and cell growth factors. Among them, chemo-kines are the key factors in the process of regeneration, including Cys (C), Cys Cys (CC), Cys-x-Cys (CXC) and Cys-x3-Cys (CX3C) subfamilies, which are involved in regulating the migration and activation of immune cells, angiogenesis, functional changes of fibroblasts. This review focuses on the relationship among chemokines and immune cells and regenerative ability during limb regeneration, demonstrates the important contribution of chemokines in limb regeneration of salamander and explores the therapeutic potential of targeting chemokines as a new method to improve tissue regeneration. [ABSTRACT FROM AUTHOR]

The use of olefin oligomerization in the synthesis of liquid fuel has broad application prospects in military and civil fields. Here, based on finite time thermodynamics (FTT), an ethylene oligomerization chemical process (EOCP) model with a constant temperature heat source outside the heat exchanger and reactor pipes was established. The process was first optimized with the minimum specific entropy generation rate (SEGR) as the optimization objective, then multi-objective optimization was further performed by utilizing the NSGA - II algorithm with the minimization of the entropy generation rate (EGR) and the maximization of the C10H20 yield as the optimization objectives. The results showed that the point of the minimum EGR was the same as that of SEGR in the Pareto optimal frontier. The solution obtained using the Shannon entropy decision method had the lowest deviation index, the C10H20 yield was reduced by 49.46% compared with the point of reference and the EGR and SEGR were reduced by 59.01% and 18.88%, respectively. [ABSTRACT FROM AUTHOR]

Papaver somniferum (opium poppy) is not only a source of raw material for the production of medical narcotic analgesics but also the major raw material for certain psychotropic drugs. Therefore, it is stipulated by law that the cultivation of Papaver somniferum must be authorized by the government under stringent supervision. In certain areas, unauthorized and illicit Papaver somniferum cultivation on private-owned lands occurs from time to time. These illegal Papaver somniferum cultivation sites are dispersedly-distributed and highly-concealed, therefore becoming a tough problem for government supervision. The low-altitude inspection of Papaver somniferum cultivation by unmanned aerial vehicles has the advantages of high efficiency and time saving, but the large amount of image data collected needs to be manually screened, which not only consumes a lot of manpower and material resources but also easily causes omissions. In response to the above problems, this paper proposed a two-stage (target detection and image classification) method for the detection of Papaver somniferum cultivation sites. In the first stage, the YOLOv5s algorithm was used to detect Papaver somniferum images for the purpose of identifying all the suspicious Papaver somniferum images from the original data. In the second stage, the DenseNet121 network was used to classify the detection results from the first stage, so as to exclude the targets other than Papaver somniferum and retain the images containing Papaver somniferum only. For the first stage, YOLOv5s achieved the best overall performance among mainstream target detection models, with a Precision of 97.7%, Recall of 94.9%, and mAP of 97.4%. For the second stage, DenseNet121 with pre-training achieved the best overall performance, with a classification accuracy of 97.33% and a Precision of 95.81%. The experimental comparison results between the one-stage method and the two-stage method suggest that the Recall of the two methods remained the same, but the two-stage method reduced the number of falsely detected images by 73.88%, which greatly reduces the workload for subsequent manual screening of remote sensing Papaver somniferum images. The achievement of this paper provides an effective technical means to solve the problem in the supervision of illicit Papaver somniferum cultivation. [ABSTRACT FROM AUTHOR]

Using a numerical simulation method based on physical equations to obtain the debris flow risk range is important for local-scale debris flow risk assessment. While many debris flow models have been used to reproduce processes after debris flow occurrence, their predictability in potentially catastrophic debris flow scenarios has mostly not been evaluated in detail. Two single-phase flow models and two two-phase models were used to reproduce the Wayao debris flow event in 2013. Then the Wayao debris flow event in 2020 was predicted by the four models with the same parameters in 2013. The depth distributions of the debris source and deposition fan were mapped by visual interpretation, electric resistivity surveys, field measurements, and unmanned aerial vehicle (UAV) surveys. The digital elevation model (DEM), rainfall data, and other simulation parameters were collected. These models can reproduce the geometry and thickness distribution of the debris flow fan in 2013. However, the predictions of the runout range and the deposition depth are quite different from the actuality in 2020. The performance and usability of these models are compared and discussed. This could provide a reference for selecting physical models to assess debris-flow risk. [ABSTRACT FROM AUTHOR]

Introduction: Becker muscular dystrophy (BMD) is a genetic and progressive neuromuscular disease caused by mutations in the dystrophin gene with no available cure. A case report and comprehensive review of BMD cases aim to provide important clues for early diagnosis and implications for clinical practice. Genes and pathways identified from microarray data of muscle samples from patients with BMD help uncover the potential mechanism and provide novel therapeutic targets for dystrophin-deficient muscular dystrophies. Methods: We describe a BMD family with a 10-year-old boy as the proband and reviewed BMD cases from PubMed. Datasets from the Gene Expression Omnibus database were downloaded and integrated with the online software. Results: The systematic review revealed the clinical manifestations and mutation points of the dystrophin gene. Gene ontology analysis showed that extracellular matrix organization and extracellular structure organization with enrichment of upregulated genes coexist in three datasets. We present the first report of TUBA1A involvement in the development of BMD/Duchenne muscular dystrophy (DMD). Discussion: This study provides important implications for clinical practice, uncovering the potential mechanism of the progress of BMD/DMD, and provided new therapeutic targets. [ABSTRACT FROM AUTHOR]

Two kinds of WO3 powders with average size of 100 nm and 5 μm have been used to prepare Pt–WO3 porous composite ceramics, whose WO3 grains are around 1 and 5 μm, respectively. The ceramics with 1 μm WO3 grains show a sensitivity of 755 to 0.08% H2 – 20% O2 – N2 in air of 30% relative humidity (RH) at room temperature, but show no response to this concentration of hydrogen in air of 50% RH due to the depression effect of water, which indicate a relatively low humidity tolerance for the ceramics. In contrast, the ceramics with 5 μm WO3 grains show sensitivities of 1200 and 80 to 0.08% H2 – 20% O2 – N2 at room temperature in air of 30% and 50% RH, respectively, and a sensitivity of 8 to 0.02% H2 – 20% O2 – N2 in air of 70% RH, which represent an ultrahigh humidity tolerance. These results clearly demonstrate that the microstructure of room-temperature hydrogen sensitive metal oxide (MOX) materials exerts a decisive influence on their humidity tolerance. Much attention should be paid to MOX materials with large and even ultra-large MOX grains when room-temperature MOX gas sensors with high humidity tolerance are being developed. [ABSTRACT FROM AUTHOR]

Mitochondria and chloroplast are very important organelles for organism, participating in basic life activity. Their genomes contain many repeats which can lead to a variation of genome structure. Oryza is an important genus for human beings' nutrition. Several mitochondrial and chloroplast genomes of Oryza have been sequenced, which help us to insight the distribution and evolution of the repeats in Oryza species. In this paper, we compared six mitochondrial and 13 chloroplast genomes of Oryza and found that the structures of mitochondrial genomes were more diverse than chloroplast genomes. Since repeats can change the structure of the genome, resulting in the structural diversity of the genome, we analyzed all repeats and found 31 repeats in mitochondrial and 13 repeats in chloroplast genomes. Further, we developed 21 pairs of MRS molecular markers and 12 pairs of CRS molecular markers based on mitochondrial repeats and chloroplast repeats, respectively. These molecular markers can be used to detect the repeat-mediated recombination in Oryza mitochondrial and chloroplast genomes by PCR or fluorescence quantification. [ABSTRACT FROM AUTHOR]

A colorimetric assay for the determination and quantification of ascorbic acid (AA) is presented using silver nanoparticle (AgNP) single‐walled carbon nanotube (AgNP/SWCNT) nanocomposites prepared using a microwave‐assisted method. The AgNP/SWCNT nanocomposites possessed oxidase‐like properties toward 3,3′,5,5′‐tetramethylbenzidine (TMB) and could catalyze the oxidation of TMB to form a blue oxidation product (λmax = 652 nm) in the absence of H2O2. AA can specifically inhibit the oxidation of TMB, resulting in a decline of the absorbance value and blue colour fading. As such, amounts of AA can be assessed easily by the unaided eye and quantitatively using an ultraviolet–visible light spectrophotometer. Under the optimal reaction conditions, this strategy showed a good linearity ranging from 0.4 μM to 5.0 μM for AA detection, and the limit of detection was 130 nM. This assay was also applied for AA measurement in vitamin C tablets and juice samples that yielded satisfactory results. [ABSTRACT FROM AUTHOR]

It has been reported that microRNA-206(miR-206) plays an important role in cancers and could be used as a prognostic biomarker. However, the results are controversial. Therefore, we summarize all available evidence and present a meta-analysis to estimate the prognostic value of miR-206 in various cancers. The relevant studies were collected by searching PubMed, EMBASE, and Web of Science databases until August 21, 2020. Hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were applied to explore the association between miR-206 and survival results and clinicopathologic features. Sources of heterogeneity were investigated by subgroup analysis and sensitivity analysis. Publication bias was evaluated using Egger's test. Twenty articles involving 2095 patients were included in the meta-analysis. The pooled HR showed that low miR-206 expression was significantly associated with unfavourable overall survival (OS) (HR = 2.03 , 95 CI%: 1.53-2.70, P < 0.01). In addition, we found that low miR-206 expression predicted significantly negative association with tumor stage (III-IV VS. I-II) (OR = 4.20 , 95% CI: 2.17-8.13, P < 0.01), lymph node status (yes VS. no) (OR = 3.58 , 95%: 1.51-8.44, P = 0.004), distant metastasis (yes VS. no) (OR = 3.19 , 95%: 1.07-9.50, P = 0.038), and invasion depth (T 3 + T 4 vs. T 2 + T 1) (OR = 2.43 , 95%: 1.70-3.49, P < 0.01). miR-206 can be used as an effective prognostic indicator in various cancers. Further investigations are warranted to validate the present results. [ABSTRACT FROM AUTHOR]

Mineral elements play an extremely important role in human health, and are worthy of study in rice grain. Wild rice is an important gene pool for rice improvement including grain yield, disease, and pest resistance as well as mineral elements. In this study, we identified 33 quantitative trait loci (QTL) for Fe, Zn, Se, Cd, Hg, and As contents in wild rice Oryza longistaminata. Of which, 29 QTLs were the first report, and 12 QTLs were overlapped to form five clusters as qSe1/qCd1 on chromosome 1, qCd4.2/qHg4 on chromosome 4, qFe5.2/qZn5.2 on chromosome 5, qFe9/qHg9.2/qAs9.2 on chromosome 9, and qCd10/qHg10 on chromosome 10. Importantly, qSe1/qCd1 , can significantly improve the Se content while reduce the Cd content, and qFe5.2/qZn5.2 can significantly improve both the Fe and Zn contents, they were delimited to an interval about 53.8 Kb and 26.2 Kb, respectively. These QTLs detected from Oryza longistaminata not only establish the basis for subsequent gene cloning to decipher the genetic mechanism of mineral element accumulation, but also provide new genetic resource for rice quality improvement. [ABSTRACT FROM AUTHOR]

This article proposes single-objective/multiobjective cat swarm optimization clustering algorithms for data partition. The proposed methods use the cat swarm to search the optimal. The position of the cat tightly associates with the clustering centers and is updated by two submodes: the seeking mode and the tracing mode. The seeking mode uses the simulated annealing strategy to update the cat position at a probability. Inspired by the quantum theories, the tracing mode adopts the quantum model to update the cat position in the whole solution space. First, the single-objective method is proposed and adopts the cohesion of clustering as the objective function, in which the kernel method is applied. For considering more objective functions to reveal diverse aspects of data, the multiobjective method is proposed and adopts both the cohesion and the connectivity as the objective functions. The Pareto optimization method is applied to balance the objectives. In the experiments, three kinds of data sets are used to examine the effectiveness of the proposed methods, which are three synthetic data sets, four data sets from the UCI Machine Learning Repository, and a field data set. Experimental results verified that the proposed methods perform better than the traditional clustering algorithms, and the proposed multiobjective method has the highest accuracy. Note to Practitioners—This article presents single-objective/multiobjective cat swarm optimization clustering analysis methods for data partition. Through automatically extracting meaningful or useful classes, clustering analysis could help the practitioners or the intelligent devices find the specific meanings of data, natural data structure, the data relationships, or other characteristics. The proposed methods use the cat swarm to search the optimal clustering result. One or more criterion functions could be selected as the optimization objectives. The time complexity of the multiobjective type is higher than that of the single-objective type. Therefore, in the industrial field, engineers should choose the number of the optimization objectives based on the actual requirements. The proposed methods could be widely used into industrial applications to deal with complex data sets. Future research could consider some more progressive optimization schemes to improve the effectiveness. [ABSTRACT FROM AUTHOR]

BACKGROUND Sauce braised meat products are popular in Asia, although their complicated processing may lead to potential safety risks. Especially, how hazardous compounds are formed during their preparation is still unclear. In the present study, braised chicken breasts, which are a typical Chinese sauce braised meat product, were used to investigate the formation of heterocyclic amines (HCAs) during heat treatment. RESULTS: Precursor content (creatine and reducing sugar), HCA level and temperature were measured in different parts of the chicken breast at each processing stage. The results obtained showed that the increasing trends of total HCA content in different parts of chicken breast were not the same. Only total HCA content in the skin (4.93 ± 0.80 ng g−1) increased significantly after deep‐frying. During braising, total HCA level in the skin was high (12.1–14.3 ng g−1) and relatively stable. However, total HCA content in pectoralis major muscle (3.90–7.40 ng g−1) and pectoralis minor muscle (1.44–5.31 ng g−1) was much lower than in the skin, and increased steadily with braising time. CONCLUSION: Braising is the main factor which affects HCA level in braised chicken. Combining the results of temperature and precursor content, a possible explanation for the large amount of HCAs in braised chicken is the gradual infiltration from reused marinade, instead of thermic generation. © 2019 Society of Chemical Industry [ABSTRACT FROM AUTHOR]

CD4+CD25+ regulatory T (Treg) cells maintain the function of immune tolerance and the balance of immune cells. Defects in the number and function of Treg cells can induce the development and progression of inflammatory disease. Shikonin, the main active ingredient of Lithospermum, has anti-inflammatory and anti-tumor effects. Shikonin is also an effective drug for the treatment of psoriasis, which is a chronic inflammatory skin disease. However, the underlying mechanism is not yet clear. To evaluate the role of shikonin on the induction of Treg cells, we tested the number and function of Treg cells in vivo and in vitro. Shikonin can effectively promote the differentiation of iTreg cells by inhibiting the AKT/mTOR pathway in vitro. Moreover, in vivo, intragastrically administered shikonin effectively improved lesions in mice with imiquimod-induced psoriasis and increased the number of iTreg cells in the spleen and their secretion. Shikonin significantly increases the expression of Foxp3mRNA in skin of the psorisic mice. Therefore, we expect that shikonin can prevent the development of inflammation and treat psoriasis by regulating iTreg cells. Novel ideas for the treatment of psoriasis are also proposed. [ABSTRACT FROM AUTHOR]

Purpose: This study was undertaken to assess the associations between the anatomic outcomes of patients who underwent vitrectomy for rhegmatogenous retinal detachment associated with choroidal detachment (RRDCD) and their preoperative variables. Methods: A total of 175 patients with RRDCD who underwent vitrectomy in one eye were included in the analysis. The primary outcome measured was the retinal status after primary vitrectomy and at the end of follow-up. Results: The retinal reattachment rate was 72.57% after primary surgery, and the final total reattachment rate was 89.14% after follow-up. Binary logistic regression analysis identified that the retinal reattachment rate after primary vitrectomy was significantly associated with older age (odds ratio = 1.03, p = 0.02), mild proliferative vitreoretinopathy (PVR) (PVR grade C vs. PVR grades A-B: odds ratio = 0.31, p = 0.04; PVR grade D vs. PVR grades A-B: odds ratio = 0.03, p < 0.01), and intravitreal steroid treatment (odds ratio = 4.60, p = 0.02), and that the final retinal reattachment rate was independently associated with older age (odds ratio = 1.05; p = 0.01). Conclusions: Vitrectomy is a good surgical option for RRDCD. Older age, mild preoperative PVR, and perioperative intravitreal triamcinolone acetonide injections increase the primary reattachment rates after one operation. Older age was the only independent prognostic factor for the final retinal reattachment in patients with RRDCD. [ABSTRACT FROM AUTHOR]

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Background: Currently, the standard treatment for renal pelvis carcinoma is radical nephroureterectomy with bladder cuff excision. To describe the feasibility of retroperitoneal laparoscopic partial nephrectomy with segmental renal artery clamping for cancer of renal pelvis, we report this special case for the first time.Case Presentation: A 67-year-old woman received this operation. Preoperative ureteroscopy revealed a papillary neoplasm with a pedicle in the upper calyx of the left kidney. After entering the retroperitoneal space and dissociating the renal artery and renal vein, the target artery was clamped beyond the final bifurcation before entering the parenchyma. After incision of the left renal parenchyma and exposure of the upper calyceal neck, the tumor was found confined to the upper calyx. Thereafter, the renal calyx and parenchyma were sutured successively after complete resection of the neoplasm. Postoperative pathological examination confirmed that the Grade I papillary carcinoma was confined to the mucosal layer. Thus far, there is no evidence of recurrence during the follow-up period for more than 42 months after surgery.Conclusions: Retroperitoneal laparoscopic partial nephrectomy with segmental renal artery clamping of the kidney provides a feasible treatment modality for noninvasive tumors that are limited to the calyx. [ABSTRACT FROM AUTHOR]

Backgroud: Choroidal detachment (CD) following primary rhegmatogenous retinal detachment (RRD) is a special type of RRD. The purpose of this study is to investigate the potential risk factors of RRD with CD in a Chinese population.Methods: All of 201 consecutive RRD with CD patients and 210 RRD without CD patients were enrolled in this case-control retrospective study. The clinical data from these cases were reviewed here. Patients were undergone scleral buckling or encircling or both, or pars plana vitrectomy with or without scleral buckling or encircling or both according the patients' condition. The incidence of RRD with CD in this Chinese population was measured, and the potential risk factors for the development of RRD with CD were investigated by multivariate logistic regression analysis.Results: In this population, the incidence of RRD with CD was 8.6 %. The incidence of RRD with CD was significantly higher in patients with macular hole (P < 0.05), retinal breaks located posterior to the equator (P < 0.05), and total detachment (P < 0.05). Furthermore, the incidence of RRD with CD was significantly higher in patients with longer axial length (P < 0.05) only when ages, IOP, AL and duration time was set for categorical variables.Conclusions: Hypotony, retinal breaks located posteriorly especially macular hole, longer axial length, and the whole retinal detachment might be the potential risk factors for the development of CD in RRD patients. [ABSTRACT FROM AUTHOR]