Structured latex particles based on natural rubber for high-impact polymer blends

Natural latex (NR) particles, modified with a hard shell of poly(methyl methacrylate) (PMMA) and with a substructure of PMMA (type "NR-M") or polystyrene (type "NR-SM"), were tested as compatibilizers in blends of polycarbonate (of bisphenol A, PC) and PMMA or PS. During melt blending, the modified NR particles were torn apart, from an original size of >0.5 μm down to ≅0.1 μm in diameter. Two different types of particle distribution were observed in the blends: in PC/PMMA/NR-M blends, the NR-M particles were dispersed in the PMMA phase, whereas, in PC/PS/NR-SM blends, the NR-SM particles formed interface layers between PC and PS phase domains. The latter blend morphology, distinguished by continuous rubbery interface layers of NR-SM, turned out to be mechanically excellent in injection-moulded parts. The poor impact strength of PC/PS was raised by an order of magnitude. The effect depends on the orientation in the injection-moulded test bars.     

Comparing orthogonal force and unidirectional strain component processing for tool condition monitoring

Signal processing using orthogonal cutting force components for tool condition monitoring has established itself in literature. In the application of single axis strain sensors however a linear combination of cutting force components has to be processed in order to monitor tool wear. This situation may arise when a single axis piezoelectric actuator is simultaneously used as an actuator and a sensor, e.g. its vibration control feedback signal exploited for monitoring purposes. The current paper therefore compares processing of a linear combination of cutting force components to the reference case of processing orthogonal components. Reconstruction of the dynamic force acting at the tool tip from signals obtained during measurements using a strain gauge instrumented tool holder in a turning process is described. An application of this dynamic force signal was simulated on a filter-model of that tool holder that would carry a self-sensing actuator. For comparison of the orthogonal and unidirectional force component tool wear monitoring strategies the same time-delay neural network structure has been applied. Wear-sensitive features are determined by wavelet packet analysis to provide information for tool wear estimation. The probability of a difference less than 5 percentage points between the flank wear estimation errors of above mentioned two processing strategies is at least 95 %. This suggests the viability of simultaneous monitoring and control by using a self-sensing actuator.     

Optimal Sorting Algorithms for a Simplified 2D Array with Reconfigurable Pipelined Bus System

In recent years, many researchers have investigated optical interconnections as parallel computing. Optical interconnections are attractive due to their high bandwidth and concurrent access to the bus in a pipelined fashion. The Linear Array with Reconfigurable Pipelined Bus System (LARPBS) model is a powerful optical bus system that combines both the advantages of optical buses and reconfiguration. To increase the scalability of the LARPBS model, we propose a two-dimensional extension: a simplified two-dimensional Array with Reconfigurable Pipelined Bus System (2D ARPBS). While achieving better scalability, we show the effectiveness of this newly proposed model by designing two novel optimal sorting algorithms on this model. The first sorting algorithm is an extension of Leighton's seven-phase columnsort algorithm that eliminates the restriction of sorting only an r times s array, where r ge s^2 , and sorts an n times n array in O(log n) time. The second one is an optimal multiway mergesort algorithm that uses a novel processor efficient two-way mergesort algorithm and a novel multiway merge scheme to sort n^2 items in O(log n) time. Using an optimal sorting algorithm Pipelined Mergesort designed for the LARPBS model as a building block, we extend our research on parallel sorting on the LARPBS to a more scalable 2D ARPBS model and achieve optimality in both sorting algorithms.     

Surveillance for the masses: the political and legal landscape of the UK Investigatory Powers Bill

In March 2016, the UK Government put the Investigatory Powers Bill before Parliament. The new law, if enacted, will considerably increase the powers of law enforcement and security services regarding mass data retention, mass surveillance and mass hacking. This raises considerable concerns not just about the content of the Bill and its impact on privacy, but also about the method of its enactment and the ever diminishing parliamentary and judicial scrutiny of surveillance legislation in the UK.     

The LBA-problem and the deterministic tape complexity of two-way one-counter languages over a one-letter alphabet

Summary It is shown, that NTAPE(n) is equal to TAPE(n) if and only if every language L⊂⊣{1}^*⊢ which is acceptable by a nondeterministic two-way one-counter automaton whose counter length is bounded by the length of its input is contained in TAPE(log n).     

Relationships between pushdown automata with counters and complexity classes

In this paper a machine model is defined whose access to the storage cells is controlled by means of address registers. It is shown that every set acceptable by such a machine within time boundcn ^p,p , is accepted by a deterministic 2p-head two-way pushdown automaton which has additional counters of length log₂ n. On the other hand every set acceptable by a deterministicp-head two-way pushdown automaton can be accepted by this machine model within time boundcn ^plog₂ n. A result similar to one of the main theorems (theorem 4) of this paper has been proved also by S. A. Cook. Both proofs are based on the same idea but have been found independently.     

From relative to absolute quantification of tryptic peptides with tandem mass tags: application to cerebrospinal fluid

Quantification is a major task in proteomics. Among the different analytical strategies to enable peptide and protein quantification, tagging with isotopic labels has emerged as a practical, versatile, and efficient alternative. In particular, isobaric labels, such as TMT or iTRAQ, are now widely employed to make relative comparison of the protein amounts in separate biological samples with tandem mass spectrometry (MS/MS). We used herein a shotgun proteomic approach based on labelling with tandem mass tags (TMTs) for the relative quantification of proteins, and the absolute quantification of their tryptic peptides in human cerebrospinal fluid (CSF). First, the comparison of ante- and post-mortem CSF samples was carried out for the discovery of protein marker candidates of brain-damage disorders. Second, tryptic peptides representative of these candidates were measured in CSF using reporter-ion calibration curves. These works highlighted the advantages and limitations of such strategies for quantification purposes in proteomics.