Search

We study a class of Approximate Message Passing (AMP) algorithms for symmetric and rectangular spiked random matrix models with orthogonally invariant noise. The AMP iterates have fixed dimension |$K \geq 1$|⁠ , a multivariate non-linearity is applied in each AMP iteration, and the algorithm is spectrally initialized with |$K$| super-critical sample eigenvectors. We derive the forms of the Onsager debiasing coefficients and corresponding AMP state evolution, which depend on the free cumulants of the noise spectral distribution. This extends previous results for such models with |$K=1$| and an independent initialization. Applying this approach to Bayesian principal components analysis, we introduce a Bayes-OAMP algorithm that uses as its non-linearity the posterior mean conditional on all preceding AMP iterates. We describe a practical implementation of this algorithm, where all debiasing and state evolution parameters are estimated from the observed data, and we illustrate the accuracy and stability of this approach in simulations. [ABSTRACT FROM AUTHOR]

ABSTRACT Rice stripe mosaic virus (RSMV) is an emerging pathogen which significantly reduces rice yields in the southern region of China. It is transmitted by the leafhopper Recilia dorsalis, which overwinters in rice fields. Our field investigations revealed that RSMV infection causes delayed rice heading, resulting in a large number of green diseased plants remaining in winter rice fields. This creates a favorable environment for leafhoppers and viruses to overwinter, potentially contributing to the rapid spread and epidemic of the disease. Next, we explored the mechanism by which RSMV manipulates the developmental processes of the rice plant. A rice heading‐related E3 ubiquitin ligase, Heading date Associated Factor 1 (HAF1), was found to be hijacked by the RSMV‐encoded P6. The impairment of HAF1 function affects the ubiquitination and degradation of downstream proteins, HEADING DATE 1 and EARLY FLOWERING3, leading to a delay in rice heading. Our results provide new insights into the development regulation‐based molecular interactions between virus and plant, and highlights the importance of understanding virus‐vector‐plant tripartite interactions for effective disease management strategies. [ABSTRACT FROM AUTHOR]

Introduction: Nowadays, the training of implant placement has shifted from once entirely instructor–student teaching to the increasing use of computer‐assisted simulation. Based on computerized virtual planning, dynamic navigation has been used for implant placement with higher accuracy than the traditional freehand protocol. However, whether dynamic navigation benefits to the training of dental students in implant placement remains controversial. This study aimed to compare the surgical performance of dental students in implant placement using computer‐assisted dynamic navigation and freehand approaches. Materials and Methods: A total of 20 dental students (6 males, 14 females, age: 25.6 ± 0.5 years) were enrolled in this study. With the traditional freehand approach (training 1) as the control protocol, computer‐assisted dynamic navigation (training 2) was used in the training of dental students in implant placement. For each training, both the operating time (OT) of students and placement accuracy represented by the linear (at the implant platform, Dpl, and apex, Dap) and angular (Dan) deviations between the virtually planned and placed implants were recorded. Statistical comparisons were made between the two training protocols as well as male and female surgeons. Results: OT2 was around twice of OT1 (p <.0001), whereas Dan1 was almost three times of Dan2 (p <.0001). Dap1 and Dpl1 were significantly higher than Dap2 (p =.014) and Dpl2 (p =.033) respectively. Besides, male students showed statistically higher Dpl1 (p =.033) and Dan1 (p =.002) than females. No significant difference was found between male and female students in OT1, OT2, Dpl2, Dap1, Dap2 and Dan2. Conclusions: Within the limitations of this study, the use of computer‐assisted dynamic navigation in the preclinical training could improve the surgical performance of the dental students in implant placement. The combination of dynamic navigation with the traditional preclinical surgical training may benefit to dental students and could be applied in dental education. [ABSTRACT FROM AUTHOR]

Objective To analyze the knowledge structure, main research strength, the development trend and research hot pots of cancer screening in China from 1990 to 2018. Methods CiteSpace5.2.R2 was used to conduct co-occurrence analysis, cluster analysis and emergent word analysis using Chinese literature in the field of cancer screening published by China Knowledge Network, Wanfang and VIP Database from 1990 to 2018. Results Chinese literature published in the field of cancer screening in China has been increasing year by year. The academic leading role of the core authors group had not yet generated and the main academic groups could be divided into three categories. The basic knowledge structure was centered on the gynecological malignant tumors screening with the purpose of early diagnosis and treatment. It could be divided into 9 major research interests. The research frontier focused on the following aspect: cancer screening types spread to other domestic high-risk cancers, the update of screening methods and the emphasis on interdisciplinary related to cancer screening. Conclusion China has made some achievements in cancer screening research, mainly focusing on medical technology and related fields. There are few researches on evidence-based medicine evaluation, health economics evaluation and health policy of cancer screening methods.

Tetracyclines are currently the most commonly used class of antibiotics, and their residue issue significantly impacts public health safety. In this study, a surface modification of perovskite with cetyltrimethylammonium bromide led to the generation of stable electrochemiluminescence (ECL) emitters in aqueous systems and improved the biocompatibility of perovskite. A perovskite quantum dot‐based ECL sensing strategy was developed. Utilizing the corresponding aptamer of the antibiotics, strain displacement reactions were triggered, disrupting the ECL quenching system composed of perovskite and Ag nanoclusters (Ag NCs) on the electrode surface, generating a signal to achieve quantitative detection of several common tetracycline antibiotics. The perovskite quantum dot provided a strong and stable initial signal, while the efficient catalytic activity of the silver cluster enhanced the recognition sensitivity. Tetracycline, chlortetracycline, and oxytetracycline were used as examples to demonstrate the differentiation and quantitative detection through this method. In addition, the aptasensor exhibited analytical performance with the linear range (0.1–10 μM OTC) and good recovery rates of 94.7% to 101.6% in real samples. This approach has the potential to become a sensitive and practical approach for assessing antibiotic residues. [ABSTRACT FROM AUTHOR]

Biogenic collagen membranes (BCM) have been widely used in guided bone regeneration (GBR) owing to their biodegradability during tissue integration. However, their relatively high degradation rate and lack of pro-osteogenic properties limit their clinical outcomes. It is of great importance to endow BCM with tailored degradation as well as pro-osteogenic properties. In this study, a fluoride-modified polymer-induced liquid precursor (PILP) based biomineralization strategy was used to convert the collagen membrane from an organic phase to an apatite-based inorganic phase, thus achieving enhanced anti-degradation performance as well as osteogenesis. As a result, three phases of collagen membranes were prepared. The original BCM in the organic phase induced the mildest inflammatory response and was mostly degraded after 4 weeks. The organic-inorganic mixture phase of the collagen membrane evoked a prominent inflammatory response owing to the fluoride-containing amorphous calcium phosphate (F-ACP) nanoparticles, resulting in active angiogenesis and fibrous encapsulation, whereas the inorganic phase induced a mild inflammatory response and degraded the least owing to the transition of F-ACP particles into calcium phosphate with high crystallinity. Effective control of ACP is key to building novel apatite-based barrier membranes. The current results may pave the way for the development of advanced apatite-based membranes with enhanced barrier performances. [ABSTRACT FROM AUTHOR]

As a crucial indicator in food and water safety testing, the detection of Escherichia coli plays a significant role in maintaining environmental sanitation and promoting public health. Herein, based on the electrochemical activity characteristics of E. coli, we established an enhanced electrochemiluminescence aptasensor for E. coli analysis. This study presents a new method for accurate identification by utilizing a double aptamer recognition system. Specifically, a nano-cadmium sulfide (CdS) modified aptamer was used for primary labeling, while a second aptamer was immobilized on a graphene/chitosan composite electrode for re-capture. The use of two aptamers improves the accuracy of the identification process. Furthermore, the application of an electrode potential facilitates continuous electron transfer between the electrode and electrochemically active microorganisms, resulting in an enhanced electroluminescence signal in relation to the metabolic status. This strategy possesses better sensitivity, accuracy, and stability, demonstrating its potential for E. coli analysis. [ABSTRACT FROM AUTHOR]