Well-Known brands recognition by automated classifiers using local and global features

From color and type to patterns and illustrations, brands sense to be recognizable and convey their values and personality. Here patterns and color are key elements, as they can play a vital role in brand recognition. The images used for brand classification were handpicked and collectively named as HKDataset. We have explored various feature extractors used for classification and used automated classifiers named Linear SVM to achieve higher accuracy while tuning the model parameters to achieve optimal performance. It has been observed that Support Vector Machines performs better when using GIST descriptors combined with Bag of SIFT features. We hope to apply deep learning and other sophisticated classifiers to much-expanded categories of brands in the future

Enhance the Performance of Associative Memory by Using New Methods

Data or instructions that are regularly used are saved in cache so that it is very easy to retrieve for the purpose of increase the cache performance. Evaluating the execution of multi-core systems the part of the cache memory is very important. A multicore processor is shared circuit in which two or more processors are joined to enhance the performance and perform multiple tasks. This paper describes the performance of cache memory based on cache access time, miss rate and miss penalty. Cache mapping methods are defined to increase the performance of cache but it face many difficulties. Some methods and algorithms are used to decrease these difficulties. In this paper describes the study of recent competing processors to evaluate the cache memory performance

Impact of Earnings Management Practices on Stock Return

This paper investigates the impact of earnings management (real and accrual) on stock returns ofPakistan stock exchange (PSX) listed companies. The study is done by testing a separate relationship of accrual and real earnings management and their collective relationship with the stock return. The study is conducted on 3900 firm-year observations from the non-financial PSX listed companies for the sample period 2005-17. The findings of the study show that a significant and negative relationship exists between stock returns and real and accrual earnings management. Moreover, the combined impact of real and accrual earnings management on stock return is also found to be significantly negative. This paper could prove a valuable addition to the knowledge of investors because investors can more or less price accrual earning management

Simultaneous molecular detection of Anaplasma marginale and Theileria annulata in cattle blood samples collected from Pakistan-Afghanistan boarder region.

Theileria annulata (T. annulata) and Anaplasma marginale (A. marginale) are among the most extensively reported tick borne pathogens and are associated with huge economic losses worldwide. A total of 298 cattle blood samples were screened to report the presence of these two pathogens. The samples were collected from apparently healthy cattle (Achai, n = 155, Jersy, n = 88 and crossbred, n = 55) in Bajaur district of Khyber Pakhtunkhwa (KPK) during June and July of 2022. A total of 31 out of 298 cattle (10.4%) were found infected with T. annulata as PCR amplified a 156 base pair fragment from Tams-1 gene of T. annulata from their blood. While 16/298 animals (5.4%) were found infected with A. marginale as they amplified a 382 base pair fragment specific for msp5 gene of this bacterium. Three animals (1%) were found co infected. Cattle susceptibility to T. annulata infection was significantly higher than A. marginale infection (P 0.05) among enrolled cattle. In conclusion, our study has revealed a relatively higher prevalence of T. annulata than A. marginale in cattle from the Bajaur district in KPK. This information is important for improving the productivity of the livestock sector, which is one of the main sources of income in the country. It is recommended that this data be taken into account for the development and implementation of effective tick control programs, as well as for the improvement of livestock management practices to prevent and manage TBDs in Pakistan

MEGA-X program utilizing maximum likelihood tree based on kimura-2 parameter model was used for the multiple alignments of partial <i>msp5</i> sequences from <i>Anaplasma marginale</i> isolated in this study and those available in GenBank from other countries around the world.

Anaplasma ovis (CP015994 and HM195102) and Anaplasma centrale (AY054384) msp5 gene were used as an out group. The three new sequences of Anaplasma marginale obtained are highlighted in green box. Scale bar represents 0.20 substitutions per nucleotide position. Bootstrap value is shown as number on each node.</p

Association of <i>Theileria annulata</i> and <i>Anaplasma marginale</i> prevalence with the studied epidemiological parameters describing cattle characters enrolled during the present study from Bajaur District in Khyber Pakhtunkhwa.

N represents the total number of cattle samples collected. % Prevalence of each pathogen is given in parenthesis. P-value represents the results of Fischer Exact test calculated for studied parameter.</p

Comparison of <i>Theileria annulata</i> and <i>Anaplasma marginale</i> prevalence in blood samples of cattle collected from various locations in Bajaur district of Khyber Pakhtunkhwa.

N represents the total number of cattle samples collected during present study % Prevalence of each pathogen is given in parenthesis. P-value represents the results of one-way ANOVA test calculated for studied parameter.</p

Comparison of <i>Anaplasma marginal and Theileria ovis</i> prevalence in in blood samples of cattle collected from Bajaur district of Khyber Pakhtunkhwa.

% prevalence of each pathogen is given in parenthesis. P–value in each column indicates the results of Chi-square test calculated for a particular pathogen while p value in row is for the overall study.</p

Map of Pakistan with Khyber Pakhtunkhwa province having boarders with Afghanistan at district Bajaur is highlighted in light pink color.

While sampling sites are highlighted with yellow circles in magnified map of Distict Bajaur. ArcGIS 10.7.1 version was used for mapping. Shape files were downloaded from the link (https://www.diva-gis.org/gdata) and maps were saved in tiff format.</p