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Container technology promotes the rapid development of cloud computing with its flexible and efficient features, but it also introduces security threats such as co-resident attacks, escape attacks, and common mode attacks. In response to these security threats, a dynamic heterogeneous scheduling method based on Stackelberg game in the container cloud was proposed. First, a heterogeneous mirrored resource pool is constructed to suppress the spread of attacks based on common-mode vulnerabilities on the cloud. Then, the offensive and defense interaction process is modeled as a Stackelberg game model. Finally, the offensive and defensive model is analyzed, and the system scheduling problem is modeled as a mixed integer non-linear programming problem to solve the system's optimal scheduling strategy. Experiments show that the proposed method can improve the defense effect of the cloud platform and reduce the system defense overhead.

Physical activity and cardiorespiratory endurance have both been shown to associate with academic achievement; however, there is a paucity of work examining mediating effects. The purpose of this study was to examine the relationship between cardiorespiratory endurance and mathematics performance using school day physical activity as a mediator. The sample consisted of 174 middle school students (mean age = 13.4 ± 0.5 years) recruited from one middle school located in the US. Cardiorespiratory endurance was assessed using Progressive Aerobic Cardiovascular Endurance Run laps, school day step counts were recorded for 5 days using pedometers, and mathematics performance was assessed using standardized tests. A bootstrapped mediation analysis revealed that school day steps mediated the relationship between PACER laps and math test scores (Average Causal Mediated Effect = 0.05, 95% C.I.: 0.03-0.07, p < 0.001). These effects were independent of age and Body Mass Index. Approximately 81.1% of the total effect between cardiorespiratory endurance and math test scores was mediated through daily step counts with the full model explaining 48.8% of the total variance in math test scores. In a sample of middle schoolers, school day step counts mediated the relationship between cardiorespiratory endurance and mathematics performance, suggesting that providing opportunities for children and adolescents to be active during the day may facilitate learning through behavioral and physiological mechanisms.

Background: The genetic changes in chronic myeloid leukaemia (CML) have been well established, although challenges persist in cases with rare fusion transcripts or complex variant translocations. Here, we present a CML patient with e14a3 BCR‐ABL1 transcript and t(9;22;12) variant Philadelphia (Ph) chromosome. Methods: Cytogenetic analysis and fluorescence in situ hybridization (FISH) was performed to identify the chromosomal aberrations and gene fusions. Rare fusion transcript was verified by a reverse transcription‐polymerase chain reaction (RT‐PCR). Breakpoints were characterized and validated using Oxford Nanopore Technologies (ONT) (Oxford, UK) and Sanger sequencing, respectively. Results: The karyotype showed the translocation t(9;22;12)(q34;q11.2;q24) [20] and FISH indicated 40% positive BCR‐ABL1 fusion signals. The RT‐PCR suggested e14a3 type fusion transcript. The ONT sequencing analysis identified specific positions of translocation breakpoints: chr22:23633040–chr9:133729579, chr12:121567595–chr22:24701405, which were confirmed using Sanger sequencing. The patient achieved molecular remission 3 months after imatinib therapy. Conclusions: The present study indicates Nanopore sequencing as a valid strategy, which can characterize breakpoints precisely in special clinical cases with atypical structural variations. CML patients with e14a3 transcripts may have good clinical course in the tyrosine kinase inhibitor era, as reviewed here. [ABSTRACT FROM AUTHOR]

The traditional training system based on case teaching is according to the analysis of past competitions and training cases to carry out the strength training of aerobics special movements. The training results cannot be evaluated intelligently and accurately, and the performance of dynamic analysis is poor. To address this problem, the core training system of strength quality of aerobics special movements based on artificial intelligence is designed to realize the intelligent training of the strength quality of aerobics special movements. Through the study of fuzzy paradigm system, intelligent functions such as optimization and decision-making of intelligent fuzzy network are realized. The design system architecture framework includes the modules of sensor, receiver, database, and analysis decision. The core chip of the system is the main control module of Atmega1280 MCU for man-machine interaction, so as to realize the comprehensive training of the strength quality of aerobics special movements. Information collection module is used to collect information on strength training information such as instrument, movement, and language. The problem of phase distortion in signal transmission process is processed by FIR filter. Through information management module, trainee information management and training results statistics and queries are implemented. In the system software part, the system software structure diagram and system startup and landing procedure are given. By analyzing the working process of the module, the strength of aerobics special movements is analyzed. Experimental results show that the designed system can achieve real-time and stable strength training for aerobics special movements and improve training efficiency. [ABSTRACT FROM AUTHOR]