On-device Ranking for Displaying Suggestions

An important capability of mobile device operating systems and/or virtual assistants is to provide contextually appropriate suggestions that enable users to perform quick actions such as obtain navigation guidance, start media playback, listen and respond to messages, etc. Devices such as vehicle infotainment consoles include additional contextual information, e.g., fuel gauge level, driving stage, etc. that can be important when determining suggestions that are provided via such consoles. This disclosure describes on-device ranking of candidate suggestions to deliver the top ranking suggestions via the vehicle infotainment console. With user permission, the ranking can be based on relevant contextual factors, e.g., driving stage, available locally to the infotainment console. Selective display of suggestions improves the user experience of interacting with suggestions provided via such consoles

Scope of Small and Medium Enterprises Engaged in Auto Component Manufacturing in India

The paper analyses the state of Small and Medium Enterprises (SME) engaged in Auto component manufacturing in India. It studies the past and present of this industrial segment and tries to predict the future prospects of the industry. The objective of the research is to analyze the performance of small and medium enterprises engaged in Auto Component manufacturing and to evaluate available opportunities and challenges for them in India The literature review describes the overall Chinese economy and factors affecting its growth whether positively or negative. For this purpose of research, qualitative research methodology has been chosen. The researcher has taken interviews in order to understand and satisfy the aims and objectives of this research. The results from the interviews have been discussed and analyzed by dividing them into various themes based on the literature review. Lastly, the concluding thoughts of this study discuss the limitations and recommendations

Design and Analysis of New Shuffle Encryption Schemes for Multimedia

Securing the contents of visual data and multimedia requires specific design consideration for use in different applications. The major issue with this type of data has been occurrence of redundancy, at various places particularly in images, which makes data values repetitive at several places. The focus of this paper is on design of new shuffling schemes that can efficiently destroy redundancy in the visual data ensuring its secured transmission and distribution over public networks. Different variants of these shuffling schemes will be used as pre-processing schemes on multimedia data values especially in light weight devices using images. Standard as well as chaotic permutation and substitution schemes together with S-box rotation have been used to shuffle and map the plain data into random uncorrelated values via various variants of the presented schemes. For further improving the security, the processed data is encrypted using a computationally fast algorithm in its normal mode of operation. Security analysis using different types of images show that the proposed schemes satisfy the parameters required for securing visual contents even with very high redundancy.Defence Science Journal, 2012, 62(1), pp.159-166, DOI:http://dx.doi.org/10.14429/dsj.62.100

Desmoid tumour: a rare etiology of intestinal obstruction

Intestinal obstruction is a frequently encountered entity in surgical practice. The signs & symptoms, many a times, are suggestive of the level of obstruction, making the diagnosis of obstruction evident. There are  various causes of intestinal obstruction which diversify to an enormous extent, stamping on the famous  paradigm for the mysterious nature of the abdomen being referred to as the Pandora's Box. In accordance with the above saying, we report a rare case of a desmoid tumour, presenting as intestinal obstruction, which entices us to strongly believe the same.Key words: Intestinal obstruction, pandora´s box, desmoid tumou

Mining Big Data: Future Forecast of Weather

Climate gauging is a shot by meteorologists to anticipate the state of the air at some future time and expecting the atmosphere conditions. Climate gauging is the single 'most' imperative pragmatic purpose that meteorology exist as a science. Learning of climate information or atmosphere information in a locale is basic for business, society, agribusiness and vitality; utilized for both residential and business purposes .The estimate can advise a rancher the best time to sow the seeds for germination, it also helps to select the relevant data which has to be send to the airplane and also helps to determine that at what time the airplane has to take off or arrive. It acts lucrative for the occupants of the waterfront districts too, making them mindful of the events of storms. Climate information is considered utilizing information digging method for example 'The Clustering Technique'. By utilizing this procedure, we can locate the shrouded designs in the extensive dataset gathered and after that change the recovered data into the usable data for expectation of the climatic conditions. An assortment of information mining instruments and strategies are accessible in the business, however with a restricted use in the meteorological business

Near-Optimal Online Multiselection in Internal and External Memory

We introduce an online version of the multiselection problem, in which q selection queries are requested on an unsorted array of n elements. We provide the first online algorithm that is 1-competitive with Kaligosi et al. [ICALP 2005] in terms of comparison complexity. Our algorithm also supports online search queries efficiently. We then extend our algorithm to the dynamic setting, while retaining online functionality, by supporting arbitrary insertions and deletions on the array. Assuming that the insertion of an element is immediately preceded by a search for that element, we show that our dynamic online algorithm performs an optimal number of comparisons, up to lower order terms and an additive O(n) term. For the external memory model, we describe the first online multiselection algorithm that is O(1)-competitive. This result improves upon the work of Sibeyn [Journal of Algorithms 2006] when q > m, where m is the number of blocks that can be stored in main memory. We also extend it to support searches, insertions, and deletions of elements efficiently

Ligation of Macrophage Fcγ Receptors Recapitulates the Gene Expression Pattern of Vulnerable Human Carotid Plaques

Stroke is a leading cause of death in the United States. As ∼60% of strokes result from carotid plaque rupture, elucidating the mechanisms that underlie vulnerability is critical for therapeutic intervention. We tested the hypothesis that stable and vulnerable human plaques differentially express genes associated with matrix degradation. Examination established that femoral, and the distal region of carotid, plaques were histologically stable while the proximal carotid plaque regions were vulnerable. Quantitative RT-PCR was used to compare expression of 22 genes among these tissues. Distal carotid and femoral gene expression was not significantly different, permitting the distal carotid segments to be used as a paired control for their corresponding proximal regions. Analysis of the paired plaques revealed differences in 16 genes that impact plaque stability: matrix metalloproteinases (MMP, higher in vulnerable), MMP modulators (inhibitors: lower, activators: higher in vulnerable), activating Fc receptors (FcγR, higher in vulnerable) and FcγR signaling molecules (higher in vulnerable). Surprisingly, the relative expression of smooth muscle cell and macrophage markers in the three plaque types was not significantly different, suggesting that macrophage distribution and/or activation state correlates with (in)stability. Immunohistochemistry revealed that macrophages and smooth muscle cells localize to distinct and non-overlapping regions in all plaques. MMP protein localized to macrophage-rich regions. In vitro, treatment of macrophages with immune complexes, but not oxidized low density lipoprotein, C-reactive protein, or TNF-α, induced a gene expression profile similar to that of the vulnerable plaques. That ligation of FcγR recapitulates the pattern of gene expression in vulnerable plaques suggests that the FcγR → macrophage activation pathway may play a greater role in human plaque vulnerability than previously appreciated

In-situ estimation of ice crystal properties at the South Pole using LED calibration data from the IceCube Neutrino Observatory

The IceCube Neutrino Observatory instruments about 1 km3 of deep, glacial ice at the geographic South Pole using 5160 photomultipliers to detect Cherenkov light emitted by charged relativistic particles. A unexpected light propagation effect observed by the experiment is an anisotropic attenuation, which is aligned with the local flow direction of the ice. Birefringent light propagation has been examined as a possible explanation for this effect. The predictions of a first-principles birefringence model developed for this purpose, in particular curved light trajectories resulting from asymmetric diffusion, provide a qualitatively good match to the main features of the data. This in turn allows us to deduce ice crystal properties. Since the wavelength of the detected light is short compared to the crystal size, these crystal properties do not only include the crystal orientation fabric, but also the average crystal size and shape, as a function of depth. By adding small empirical corrections to this first-principles model, a quantitatively accurate description of the optical properties of the IceCube glacial ice is obtained. In this paper, we present the experimental signature of ice optical anisotropy observed in IceCube LED calibration data, the theory and parametrization of the birefringence effect, the fitting procedures of these parameterizations to experimental data as well as the inferred crystal properties.</p