Practice and Exploration of “Internet Plus” in School Teaching Management

“Internet plus” is a new form of economic and social development driven by innovation in knowledge society 2.0. With the continuous deepening of the reform of talent training mode, the concept of mixed teaching is gradually taking root in people's minds. To promote the development and reform of the school’s teaching management, Zhongliang Xiangyun Branch of Chengdu Longjiang Road Primary School has improved the school’s teaching management ability and level as a whole by utilizing the high-quality innovative educational resources provided by the Tsinghua University project team's Internet platform. The school utilizes the high-quality curriculum resources provided by Tsinghua University’s Internet platform to continuously optimize teaching methods and measures, and explores the goal of a smart classroom around core literacy. We focus on deep learning, combined with the concept of the new national curriculum standards and the requirements of the digital transformation of education, to propose a new idea of smart classroom teaching in schools. We use online research and learning resources to enrich teacher training paths and provide talent support for classroom reform. In addition, the school combines offline research and training platforms to improve the teaching level of teachers and enable their growth. We rely on online teaching management services to improve the management level of cadres and teachers, and further ensure the high-level implementation of school classroom teaching and the high-quality development of classroom teaching. These measures have effectively promoted the education and teaching ability and level of all teachers in the school and successfully promoted the development of school teaching management towards a more scientific and efficient direction

Prediction of Protein Interaction Sites Using Mimotope Analysis

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Modeling OF Self-Assembly of Charged Polymers

El auto-acoblament és l'organització espontània i reversible d'unitats moleculars en estructures ordenades. El procés d'auto-acoblament compleix un paper important en la ciència de materials i de la vida, per exemple descriu la formació de cristalls moleculars, col•loides, bicapes de lípids, polímers en fases separades, i monocapes auto-acoblades. Dos factors principals en el procés d'auto-acoblament són considerats en aquest treball. El primer és l'Efecte Hidrofòbic, que produeix l'auto-acoblament espontani de les molècules en micel•les, i el segon es refereix a les Interaccions electrostàtiques. En el nostre model es consideren grups de caps polars carregats, alhora que la interacció electrostàtica té dues causes. La primera són les repulsions càrrega-càrrega entre els grups de caps carregats el que limita el nombre de monòmers de surfactants agregats. L'altra causa prové de la interacció entre els grups de caps carregats i els ions lliures en la solució, la qual cosa usualment afecta afecta la mida de l'agregat. El auto-acoblament per polielectròlits alineats i de càrregues oposades és estudiat a través de la teoria de Poisson-Boltzmann (PB) i implementat amb el paquet IPEC, que pot ser usat per analitzar l'estabilitat dels complexos inter-polielectròlit nucli-capa formats per la complexació de blocs de copolímers de càrregues oposades. Així mateix, en combinació amb la teoria de Single Chain Mean Field (SCMF), adoptem un model d'esferes per simular les estructures químiques de surfactants iònics i el seu procés de micelización. En aquesta simulació no només es consideren les repulsions càrrega-càrrega entre surfactants carregats, sinó també els efectes d'apantallament electrostàtic deguts als ions lliures de sal.El auto-ensamblaje es la organización espontanea y reversible de unidades moleculares en estructuras ordenadas. El proceso de auto-ensamblaje cumple un papel importante en la ciencia de materiales y de la vida, por ejemplo describe la formación de cristales moleculares, coloides, bicapas de lípidos, polímeros en fases separadas, y monocapas auto-ensambladas. Dos factores principales en el proceso de auto-ensamblaje son considerados en este trabajo. El primero es el Efecto Hidrofóbico, que produce el auto-ensamblaje espontaneo de las moléculas en micelas, y el segundo se refiere a las Interacciones Electrostáticas. En nuestro modelo se consideran grupos de cabezas polares cargados, a la vez que la interacción electrostática tiene dos causas. La primera son las repulsiones carga-carga entre los grupos de cabezas cargados lo que limita el número de monómeros de surfactantes agregados. La otra causa proviene de la interacción entre los grupos de cabezas cargados y los iones libres en la solución, lo cual usualmente afecta afecta el tamaño del agregado. El auto-ensamblaje por polielectrolitos alineados y de cargas opuestas es estudiado a través de la teoría de Poisson-Boltzmann (PB) e implementado con el paquete IPEC, que puede ser usado para analizar la estabilidad de los complejos ínter-polielectrolito núcleo-capa formados por la complejación de bloques de copolímeros de cargas opuestas. Asimismo, en combinación con la teoría de Single Chain Mean Field (SCMF), adoptamos un modelo de esferas para simular las estructuras químicas de surfactantes iónicos y su proceso de micelización. En esta simulación no sólo se consideran las repulsiones carga-carga entre surfactantes cargados, sino también los efectos de apantallamiento electrostático debidos a los iones libres de sal. Por otra parte.Self-assembly is a spontaneous and reversible organization of molecular units into ordered structures. The self-assembly process plays an important role in materials science and life science, for example it includes the formation of molecular crystals, colloids, lipid bilayers, phase-separated polymers, and self-assembled monolayers. Two principle factors in the self-assembly process are considered in this work. First is the Hydrophobic Effect, which leads to the spontaneous self-assembly of the molecules into micelles, and second is the Electrostatic Interactions. The surfactant with charged polar head group is considered in our model, and the electrostatic interaction originates from two sources. One is the charge-charge repulsions between the charged head groups which limit the number of surfactant monomers aggregated, another source comes from the interaction between the charged head groups and free ions in the solution, which affects the size of the aggregated complex usually. Self-assembly by linear oppositely charged polyelectrolytes is studied through Poisson-Boltzmann (PB) theory and implemented into software IPEC, which can be used to analyze the stability of core–shell inter-polyelectrolyte complexes formed by complexation of oppositely charged block copolymers. Secondly, combined with single chain mean field (SCMF) theory, we adopt coarse grained model to simulate chemical structures of ionic surfactants and their micellization process. In this simulation not only the charge-charge repulsions between charged surfactant are considered, but also the electrostatic screening effects by free salt ions are taken into account. Furthermore, the 2D SCMF theory is incorporated with PB theory to explore the electrostatic effect in the shape transition behavior of the micelles composed by ionic surfactant molecules

Credit Risk Modeling without Sensitive Features: An Adversarial Deep Learning Model for Fairness and Profit

We propose an adversarial deep learning model for credit risk modeling. We make use of sophisticated machine learning model’s ability to triangulate (i.e., infer the sensitive group affiliation by using only permissible features), which is often deemed “troublesome” in fair machine learning research, in a positive way to increase both borrower welfare and lender profits while improving fairness. We train and test our model on a dataset from a real-world microloan company. Our model significantly outperforms regular deep neural networks without adversaries and the most popular credit risk model XGBoost, in terms of both improving borrowers’ welfare and lenders’ profits. Our empirical findings also suggest that the traditional AUC metric cannot reflect a model\u27s performance on the borrowers’ welfare and lenders’ profits. Our framework is ready to be customized for other microloan firms, and can be easily adapted to many other decision-making scenarios

Optimization of ultrasound-microwave synergistic extraction of prebiotic oligosaccharides from sweet potatoes (Ipomoea batatas L.)

peer-reviewedIn this study, efficient ultrasound–microwave-assisted extraction (UMAE) of prebiotic oligosaccharides from sweet potatoes (Ipomoea batatas L.) was investigated. Response surface methodology was used to optimize the extraction conditions: extraction time, ultrasonic power, and microwave power. The prebiotic effect of extracted oligosaccharides on Bifidobacterium adolescentis was also investigated. The results show that the processing conditions of UMAE for optimum the yields of prebiotic oligosaccharides from sweet potatoes (PPOS4 and PPOS5) and corresponding absorbance (OD) are 100 s extraction time, 300 W ultrasonic power, and 200 W microwave power. Under these conditions, the experimental yields of PPOS4 and PPOS5 and the corresponding OD were 1.472%, 5.476%, and 2.966, respectively, which match the predicted values well. Compared with the conventional hot-water extraction (HWE), microwave-assisted extraction (MAE), and ultrasound assisted extraction (UAE) methods, the UMAE procedure exhibited significantly high extraction efficiency (p < 0.05). Comparison of SEM images of tissues of the sweet potatoes after extractions indicate microfractures and disruption of cell walls in the potato tissues. These results confirm that UMAE has great potential and efficiency in the extraction of bioactive substances in the food and medicinal industries

Effect of Low-Quality Embryo on Adverse Obstetric and Perinatal Outcomes

Background: This retrospective study focused on whether low-quality embryos have the risk on perinatal and obstetric outcomes. Methods: This study enrolled 600 women undergoing fresh embryos transfer (ET) cycles between June 2019 and December 2022. The patients were stratified into two groups, high-quality embryo group and low-quality embryo group. In both groups, the perinatal and obstetric outcomes were the primary outcomes. Moreover, we conducted a multi-variable logistic regression analysis, where additional possible confounding factors were controlled, to determine how diverse embryo qualities affected the primary outcomes. Results: The results showed that compared with the low-quality group, the high-quality group showed increased clinical pregnancy (63.33% vs 26.33%) as well as a higher number of live birth rates (52.67% vs 18.33%) (P＜0.001). There were no statistically significant differences in unfavorable perinatal and obstetric outcomes between high- and low-quality groups (p＞0.05). Similarly, the transfer of blastocysts developing from high-quality embryos led to increased clinical pregnancy rates (84.50% vs 48.05%, p<0.001) and live birth rates (74.64% vs 38.96%, p<0.001). Transfer of blastocysts developing from low-quality embryos did not impact the unfavorable perinatal or obstetric outcomes. The logistic regression analysis showed that low-quality could not increase the unfavorable perinatal or obstetric outcomes. Conclusion: In summary, low-quality ET does not increase the risk of unfavorable perinatal or obstetric outcomes. Overall, compared to low-quality embryos, the transfer of high-quality embryos increases the clinical pregnancy and live birth rates

Study on Evolution of China’s Construction Industry Based on Input-Output Analysis and Complex Network

Exploring the evolution of China’s construction industry is conducive to the formulation of industrial policies. The construction industry is associated with many industries. Hence, the policies formed according to internal evolution of the construction industry are easy to direct the industry toward an unfavourable direction. This study aims to analyze the evolution of construction industry based on the relationships between the construction industry and other industries. The pull coefficients and push coefficients of China’s construction industry during 2001-2015 were calculated based on the input-output table. Complex network topologies of industries were constructed, and network topologies were used to analyze the network centrality and the cohesive subgroups. The evolutionary trend of China’s construction industry in interactions with other industries was explored. Results show that the pull and push effects of China’s construction industry experience a sharp reduction. The construction industry has the inclination to be transformed from a pillar industry to an industry driven by other industries. The control of the construction industry in the network is weakened. In conclusion, using input-out analysis and complex network to study the evolution of China’s construction industry can consider interaction of different industries, and provide certain theoretical references to formulate reasonable policies

SAROTUP: Scanner and Reporter of Target-Unrelated Peptides

As epitope mimics, mimotopes have been widely utilized in the study of epitope prediction and the development of new diagnostics, therapeutics, and vaccines. Screening the random peptide libraries constructed with phage display or any other surface display technologies provides an efficient and convenient approach to acquire mimotopes. However, target-unrelated peptides creep into mimotopes from time to time through binding to contaminants or other components of the screening system. In this study, we present SAROTUP, a free web tool for scanning, reporting and excluding possible target-unrelated peptides from real mimotopes. Preliminary tests show that SAROTUP is efficient and capable of improving the accuracy of mimotope-based epitope mapping. It is also helpful for the development of mimotope-based diagnostics, therapeutics, and vaccines