Design and implementation of student management system of integrated programmable device programming system.

With the continuous growth and development of society, the reform of higher education is gradually taking shape, and colleges and universities are taking more and more responsibilities in promoting education. The main element of university management is the student management system, which is very important to the development of the university. Under the objective environment of colleges and universities seeking to expand the scale of running schools and rapid economic and social development, the current student management system has been unable to meet the various needs of contemporary students. The integration of programmable device programming systems offers a student management system distinct advantages in terms of reliability, flexibility, and user-friendly operation. This study focuses on developing an effective and affordable student management system by incorporating a programmable device programming system. To evaluate the system's performance, this paper suggests the utilization of a BP neural network, renowned for its high nonlinear approximation capabilities and effectiveness in handling complex nonlinear functional relationships. The experimental findings highlight a significant contribution, demonstrating that the system achieved a throughput of 180 times per second, with a maximum CPU utilization of 99%. Notably, the system's stability exceeded 95%, contrasting sharply with the traditional student management system's stability at a mere 65%. These results underscore the substantial contribution of the proposed system, showcasing its enhanced stability compared to conventional student management systems.

A Scale-Adaptive Matching Algorithm for Underwater Acoustic and Optical Images.

Underwater acoustic and optical data fusion has been developed in recent decades. Matching of underwater acoustic and optical images is a fundamental and critical problem in underwater exploration because it usually acts as the key step in many applications, such as target detection, ocean observation, and joint positioning. In this study, a method of matching the same underwater object in acoustic and optical images was designed, consisting of two steps. First, an enhancement step is used to enhance the images and ensure the accuracy of the matching results based on iterative processing and estimate similarity. The acoustic and optical images are first pre-processed with the aim of eliminating the influence of contrast degradation, contour blur, and image noise. A method for image enhancement was designed based on iterative processing. In addition, a new similarity estimation method for acoustic and optical images is also proposed to provide the enhancement effect. Second, a matching step is used to accurately find the corresponding object in the acoustic images that appears in the underwater optical images. In the matching process, a correlation filter is applied to determine the correlation for matching between images. Due to the differences of angle and imaging principle between underwater optical and acoustic images, there may be major differences of size between two images of the same object. In order to eliminate the effect of these differences, we introduce the Gaussian scale-space, which is fused with multi-scale detection to determine the matching results. Therefore, the algorithm is insensitive to scale differences. Extensive experiments demonstrate the effectiveness and accuracy of our proposed method in matching acoustic and optical images.

Fabrication of a protein microarray by fluorous-fluorous interactions.

Fluorous-modified surfaces have emerged as a powerful tool for the immobilization of fluorous-tagged biomolecules based on their specificity and the strength of fluorous-fluorous interactions. To fabricate a fluorous-based protein microarray, we designed two strategies for site-specific modification of proteins with a fluorous tag: attaching the fluorous tag to the C-termini of expressed proteins by native chemical ligation (NCL) or to the Fc domain of antibodies through boronic acid (BA)-diol interactions. The perfluoro-tagged proteins could be easily purified by fluorous-functionalized magnetic nanoparticles (MNPs) and immobilized on a fluorous chip with minimal non-specific adsorption. Importantly, proteins immobilized on the solid support through non-covalent fluorous-fluorous interactions were sufficiently stable to withstand continuous washing. We believe that this fluorous-fluorous immobilization strategy will be a highly valuable tool in protein microarray fabrication.

Synthesis of an S-Linked α(2→8) GD3 Antigen and Evaluation of the Immunogenicity of Its Glycoconjugate.

Replacing the interglycosidic oxygen atom of oligosaccharides with a nonhydrolyzable sulfur atom has attracted significant interest because it provides opportunities for developing new glycoconjugate vaccines. Herein, a stereocontrolled and highly convergent method to synthesize a non-reducing-end inter-S-glycosidic variant of the GD3 antigen (S-linked α(2→8) GD3) that is resistant to enzymatic hydrolysis is reported. The key steps in the synthesis are a regio- and stereoselective α(2→3) sialylation of a lactoside acceptor with a C8-iodide-derivatized sialyl donor and an anomeric S-alkylation, which enable stereoselective construction of a terminal S-linked α(2→8) disialyl residue. The sulfhydryl-reactive maleimide group was used as the linker for the well-defined conjugation of these antigens to the immunogenic protein keyhole limpet hemocyanin (KLH). Groups of mice were immunized with the GD3-KLH and S-linked GD3-KLH glycoconjugates in the presence of complete Freund's adjuvant. Microarray analysis of the sera showed the promise of the S-linked GD3-KLH vaccine: it stimulated a high immunoglobulin G response against S-linked GD3 and cross-reactivity with the O-linked GD3 antigen was low. The activity of the S-linked GD3-KLH vaccine was comparable to that of the O-linked GD3-KLH vaccine, which highlighted the effectiveness of generating glycoconjugate vaccines and immunotherapies by relatively simple means.

Fabrication of Carbohydrate Microarrays by Boronate Formation.

The interactions between soluble carbohydrates and/or surface displayed glycans and protein receptors are essential to many biological processes and cellular recognition events. Carbohydrate microarrays provide opportunities for high-throughput quantitative analysis of carbohydrate-protein interactions. Over the past decade, various techniques have been implemented for immobilizing glycans on solid surfaces in a microarray format. Herein, we describe a detailed protocol for fabricating carbohydrate microarrays that capitalizes on the intrinsic reactivity of boronic acid toward carbohydrates to form stable boronate diesters. A large variety of unprotected carbohydrates ranging in structure from simple disaccharides and trisaccharides to considerably more complex human milk and blood group (oligo)saccharides have been covalently immobilized in a single step on glass slides, which were derivatized with high-affinity boronic acid ligands. The immobilized ligands in these microarrays maintain the receptor-binding activities including those of lectins and antibodies according to the structures of their pendant carbohydrates for rapid analysis of a number of carbohydrate-recognition events within 30 h. This method facilitates the direct construction of otherwise difficult to obtain carbohydrate microarrays from underivatized glycans.

Advances in multifunctional glycosylated nanomaterials: preparation and applications in glycoscience.

Applications of glycosylated nanomaterials have gained considerable attention in recent years due to their unique structural properties and compatibility in biological systems. In this review, glyco-nanoparticles (glyco-NPs) are defined as compounds that contain a nano-sized metallic core, are composed of noble metals, magnetic elements, or binary inorganic nanoparticles, and that exhibit carbohydrate ligands on the surface in three dimensional polyvalent displays similar to the glycocalyx structures on cell membranes. Nanomaterials decorated with suitable biological recognition ligands have yielded novel hybrid nanobiomaterials with synergistic functions, especially in biomedical applications. This review focuses on strategies for building various types of glyco-NPs and highlights their potential in targeted drug delivery and molecular imaging as well as their uses in bioassays and biosensors. The most recent examples of glyco-NPs as vaccine candidates and probes for assaying enzymes with bond-forming activities are also discussed.

Fabrication of antibody microarrays by light-induced covalent and oriented immobilization.

Antibody microarrays have important applications for the sensitive detection of biologically important target molecules and as biosensors for clinical applications. Microarrays produced by oriented immobilization of antibodies generally have higher antigen-binding capacities than those in which antibodies are immobilized with random orientations. Here, we present a UV photo-cross-linking approach that utilizes boronic acid to achieve oriented immobilization of an antibody on a surface while retaining the antigen-binding activity of the immobilized antibody. A photoactive boronic acid probe was designed and synthesized in which boronic acid provided good affinity and specificity for the recognition of glycan chains on the Fc region of the antibody, enabling covalent tethering to the antibody upon exposure to UV light. Once irradiated with optimal UV exposure (16 mW/cm(2)), significant antibody immobilization on a boronic acid-presenting surface with maximal antigen detection sensitivity in a single step was achieved, thus obviating the necessity of prior antibody modifications. The developed approach is highly modular, as demonstrated by its implementation in sensitive sandwich immunoassays for the protein analytes Ricinus communis agglutinin 120, human prostate-specific antigen, and interleukin-6 with limits of detection of 7.4, 29, and 16 pM, respectively. Furthermore, the present system enabled the detection of multiple analytes in samples without any noticeable cross-reactivities. Antibody coupling via the use of boronic acid and UV light represents a practical, oriented immobilization method with significant implications for the construction of a large array of immunosensors for diagnostic applications.