Supporting atomic blocks (e.g., Transactional Memory (TM)) can have far-reaching effects on language design and implementation. While much is known about the language-level semantics of TM and the performance of algorithms for implementing TM, little is known about how platform characteristics affect the manner in which a compiler should instrument code to achieve efficient transactional behavior. We explore the interaction between compiler instrumentation and the performance of transactions. Through evaluation on ARM/Android, SPARC/Solaris, IA32/Linux and IA32/MacOS, we show that the compiler must consider the platform when determining which analyses, transformations, and optimizations to perform. Implementation issues include how TM library code is reached, how per-thread TM metadata is stored and accessed, and how a library switches between modes of operation. We also show that different platforms favor different TM algorithms, through the introduction of a new TM algorithm for the ARM processor. Our findings will affect compiler and TM library designers: to achieve peak performance for transactions, the compiler must perform platform-dependent analysis, transformation, and optimization, and the interface to the TM library must differ according to platform.
Objective This study aims to evaluate the effectiveness of the Vaginal Microecology Evaluation System (VMES) in assessing the dynamics of the vaginal microbiome (VM) throughout the process of in vitro fertilization and embryo transfer (IVF-ET). Furthermore, it seeks to explore the potential correlation between distinct types of VM ecology and the success rate of IVF-ET. Methods This study employed VMES to ascertain the composition of the VM. Data were collected from infertile women who underwent their initial IVF-ET treatment for tubal factor between January 2018 and December 2021. A retrospective analysis of pregnancy outcomes resulting from their fresh embryo transfer was conducted to determine the predictive significance of the vaginal microenvironment. Results We demonstrate that VMES is able to predict IVF-ET outcomes in patients diagnosed with Bacterial Vaginosis (BV). Notably, a discernible shift in the VM was observed in a decent subset of patients following Controlled Ovarian Stimulation (COS), though this phenomenon was not universal across all participants. Specifically, there was a noteworthy increase in the proportion of patients exhibiting BV and uncharacterized dysbiosis subsequent to COS. Furthermore, our investigation revealed a significant correlation between VM and both the live birth rate and early miscarriage rate. Employing a multivariable logistic regression model, we identified that VM status pre-COS, VM status post-COS, patient age, and the number of embryos transferred emerged as independent predictors of the live birth rate. Conclusion Our study suggests that, during IVF-ET treatment, the VMES can effectively detect changes in the VM, which are strongly correlated with the pregnancy outcome of IVF-ET procedures.
This paper makes a detailed analysis of Course Schedules (2013)(2014) of College English in four universities of C9 League, which reveals that ESP courses are much less than EGP courses, even in the top universities in our country, and that the implementation of ESP teaching is hindered for many reasons.Therefore, based on the rapid development of MOOC and the one-size-fits-one guideline of college English teaching, the preferences of ESPMOOC have been illustrated, and the framework to practice trinity ESP teaching mode has been explicitly depicted.The mode refers to the combination of traditional classroom teaching, flipped teaching on aid of MOOC, and autonomous MOOC learning under the condition that ESP teaching group is elaborately set up and 2-band ESP teaching is preferably promoted.
In this paper,the intrusion detection system based on network is studied and a method applying recurrent network to network intrusion detection is presented. This method uses a modified Jordan recurrent network. It extracts the characteristic of describing intrusion pattern and concludes the rule by using recurrent network. Then it progresses the intrusion detection using the rule set. Through experiments,it proves that recurrent network improves the performance of intrusion detection system.
Recent microprocessors and compilers have added support for transactional memory (TM). While state-of-the-art TM systems allow the replacement of lock-based critical sections with scalable, optimistic transactions, there is not yet an acceptable mechanism for supporting the use of condition variables in transactions. We introduce a new implementation of condition variables, which uses transactions internally, which can be used from within both transactions and lock-based critical sections, and which is compatible with existing C/C++ interfaces for condition synchronization. By moving most of the mechanism for condition synchronization into user-space, our condition variables have low overhead and permit flexible interfaces that can avoid some of the pitfalls of traditional condition variables. Performance evaluation on an unmodified PARSEC benchmark suite shows equivalent performance to lock-basedcode, and our transactional condition variables also make it possible to replace all locks in PARSEC with transactions.
The spatial characteristics and yearly,seasonally and daily variation properties of total cloud cover is analyzed in this paper based on every-three-hour mean monthly data of ISCCP from July,1983 to December,1993 over the Tibetan Plateau which is divided into 39 grids.Some scientific explanation are also made for the moisture condition,topographic dynamics and circulation patterns over the Plateau.Comparing the distribution of total cloud cover from ISCCP with that observed from surface stations,the rationality of ISCCP-D2 data is validated.It is concluded that there is a good (poor) correlation in summer (winter) by analyzing the correlation between the total cloud cover and OLR.
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