COLLEGE MANAGEMENT SYSTEM USING PHP AND MYSQL

The traditional university education and teaching management information system has the problems of low information recall, poor information precision, and long query time. Therefore, this paper designs a university education and teaching management information system based on Web. Through the analysis of the requirements of the higher education and teaching management information system, the design principle of the system is determined, and the structure design of the higher education and teaching management information system is realized; the teaching management information system management process is determined. By calculating the complexity of university education and teaching management information, the priority of query information is determined to effectively improve the processing effect of the system. Finally, the relational database model is designed to realize the design of university education and teaching management information system. In order to verify the effectiveness of this method, comparative experiments are designed. Experimental results show that this method can effectively improve the low information recall and the poor information precision and shorten the query time. Keywords: Html, css, jscript, xampp control manager, brackets text editor, phpmyadmin. Apache server, localhost, mysql

Research on the Management Information System of College Education and Teaching Based on Web

The traditional university education and teaching management information system has the problems of low information recall, poor information precision, and long query time. Therefore, this paper designs a university education and teaching management information system based on Web. Through the analysis of the requirements of the higher education and teaching management information system, the design principle of the system is determined, and the structure design of the higher education and teaching management information system is realized; the teaching management information system management process is determined. By calculating the complexity of university education and teaching management information, the priority of query information is determined to effectively improve the processing effect of the system. Finally, the relational database model is designed to realize the design of university education and teaching management information system. In order to verify the effectiveness of this method, comparative experiments are designed. Experimental results show that this method can effectively improve the low information recall and the poor information precision and shorten the query time.

The Informational Role of Investor Relations: Evidence from the Debt Market

We explore the role of investor relations (IR) in debt markets. Using earnings announcements as a laboratory, we examine whether, when, and to what extent IR departments help credit investors assimilate information. We find that the presence of IR decreases (increases) the negative (positive) impact on CDS spreads stemming from bad (good) earnings news, suggesting that IR efforts improve information precision and reduce transparency risk. Cross-sectional analyses suggest that IR matters more when uncertainty is high and creditors are concerned about the credit-risk implications of firm performance. We also find that IR firms receive higher credit ratings and fewer covenants when issuing bonds, and CDS markets react less negatively when IR firms' bond ratings are downgraded below investment grade. Because firms choose their IR activities, we show that our inferences are robust to multiple methods of addressing endogeneity. Overall, we find that IR departments are influential in debt markets.

Quantifying the distribution of protein oligomerization degree reflects cellular information capacity

The generation of information, energy and biomass in living cells involves integrated processes that optimally evolve into complex and robust cellular networks. Protein homo-oligomerization, which is correlated with cooperativity in biology, is one means of scaling the complexity of protein networks. It can play critical roles in determining the sensitivity of genetic regulatory circuits and metabolic pathways. Therefore, understanding the roles of oligomerization may lead to new approaches of probing biological functions. Here, we analyzed the frequency of protein oligomerization degree in the cell proteome of nine different organisms, and then, we asked whether there are design trade-offs between protein oligomerization, information precision and energy costs of protein synthesis. Our results indicate that there is an upper limit for the degree of protein oligomerization, possibly because of the trade-off between cellular resource limitations and the information precision involved in biochemical reaction networks. These findings can explain the principles of cellular architecture design and provide a quantitative tool to scale synthetic biological systems.

Testing the Theory in Latin America

This chapter moves from studying developed countries to a sample of countries in Latin America over time. The chapter presents evidence that an increase in the information environment, in terms of its level of precision, exerts an attenuating and significant effect on the mean and standard deviation of forecasters’ inflation expectations, ultimately lowering inflation outcomes. The finding is robust to the inclusion of policy credibility, persistence in inflation, economic output, and month and country effects. When conducting instrumental variable analysis, similarly signed results hold. The main results imply that an increase in information precision helps to lower aggregate levels of inflation and that the channel that this works through is by lowering the weight of prior expectations, as predicted by the theoretical argument. Importantly, the results persist even when considering a sample of countries with relatively variable inflation outcomes and less established (and therefore less credible) economic institutions.

Reflections and Methodological Proposals to Treat the Concept of “Information Precision” in Smart Agriculture Practices

Smart Agriculture (SA) is an evolution of Precision Farming (PF). It has technological basis very close to the paradigms of Industry 4.0 (Ind-4.0), so that it is also often referred to as Agriculture 4.0. After the proposal of a brief historical examination that provides a conceptual frame to the above terms, the common aspects of SA and Ind-4.0 are analyzed. These are primarily to be found in the cognitive approaches of Knowledge Management 4.0 (KM4.0, the actual theoretical basis of Ind-4.0), which underlines the need to use Integrated Information Systems (IIS) to manage all the activity areas of any production system. Based upon an infological approach, “raw data” becomes “information” only when useful to (or actually used in) a decision-making process. Thus, an IIS must be always designed according to such a view, and KM4.0 conditions the way of collecting and processing data on farms, together with the “information precision” by which the production system is managed. Such precision needs, on their turn, depend on the hierarchical level and the “Macrodomain of Prevailing Interest” (MPI) related to each decision, where the latter identifies a predominant viewpoint through which a system can be analyzed according to a prevailing purpose. Four main MPIs are here proposed: (1) physical and chemical, (2) biological and ecological, (3) productive and hierarchical, and (4) economic and social. In each MPI, the quality of the knowledge depends on the cognitive level and the maturity of the methodological approaches there achieved. The reliability of information tends to decrease from the first to the fourth MPI; lower the reliability, larger the tolerance margins that a measurement systems must ensure. Some practical examples are then discussed, taking into account some IIS-monitoring solutions of increasing complexity in relation to information integration needs and related data fusion approaches. The analysis concludes with the proposal of new operational indications for the verification and certification of the reliability of the information on the entire decision-making chain.