Since its introduction to the clinical realm in 1985, transcranial magnetic stimulation (TMS) has rapidly developed into a tool for exploring central nervous system function in both health and disease. The antidepressant effects of TMS were initially observed in 1993. Since then, a solid body of evidence has accumulated suggesting antidepressant effects for both slow TMS (sTMS) and repetitive T...

STM (Software Transactional Memory) systems can be used to speculatively parallelize irregular applications such as those based on graphs and trees. While the transactional paradigm is suitable for such speculative parallelization, STMs do not deal with the semantics of speculation. In this paper we introduce merge semantics for speculations. STMs optimistically execute code and monitor the exe...

State-of-the-art software transactional memory (STM) implementations achieve good performance by carefully avoiding the overhead of incremental validation (i.e., re-reading previously read data items to avoid inconsistency) while still providing progressiveness (allowing transactional aborts only due to data conflicts). Hardware transactional memory (HTM) implementations promise even better per...

Pseudo-code descriptions of STMs assume sequentially consistent program execution and atomicity of high-level STM operations like read, write, and commit. These assumptions are often violated in realistic settings, as STM implementations run on relaxed memory models, with the atomicity of operations as provided by the hardware. This paper presents the first approach to verify STMs under relaxed...

This thesis presents STO, a software transactional memory (STM) based not on low-level reads and writes on memory, but on datatypes—arrays, lists, queues, hash tables, and so forth—that explicitly support transactional operations. Conventional STMs allow programmers to write concurrent code in much the same way as sequential code—thereby more easily taking advantage of multiple CPU cores. Howev...

This work addresses the two class classification problem within the tensorbased large margin classification paradigm. To this end, we formulate the higher rank Support Tensor Machines (STMs), in which the parameters defining the separating hyperplane form a tensor (tensorplane) that is constrained to be the sum of rank one tensors. Subsequently, we propose two extensions in which the separating...

Abstract Background It is reported that appropriately 50% of early breast cancer patients with 1–2 positive sentinel lymph node (SLN) micro-metastases could not benefit from axillary dissection (ALND) or breast-conserving surgery whole irradiation. However, whether SLN macro-metastases ALND remains unknown. The aim our study was to develop and validate nomograms for assessing non-SLN metastases...

Software Transactional Memory Systems (STM) are a promising alternative for concurrency control in shared memory systems. Multiversion STM systems maintain multiple versions for each t-object. The advantage of storing multiple versions is that it facilitates successful execution of higher number of read operations than otherwise. Multi-Version permissiveness (mv-permissiveness) is a progress co...

Sugarcane breeders target genetic improvement for sucrose content using conventional and molecular approaches in order to produce more sugar per unit area. The sucrose rich clone viz. CoC 671 is a widely used parent in juice quality improvement programmes. The present study is carried out using twenty eight derivatives of CoC 671 bred through crossing as male parent, as female parent, selfing, ...

Top-down control processes are critical to select goal-directed actions in flexible environments. In humans, these processes include two inhibitory mechanisms that operate during response selection: one is involved in solving a competition between different response options, the other ensures that a selected response is initiated in a timely manner. Here, we evaluated the role of dorsal premoto...