Hepatic artery pseudoaneurysm: A rare complication of amoebic liver abscess

Hepatic artery pseudoaneurysm (HAP) is an infrequently encountered entity, usually seen secondary to blunt or penetrating trauma. The clinical presentation is often due to complications such as intrahepatic or intraperitoneal bleeding as a result of rupture of the pseudoaneurysm. Diagnosis is frequently delayed and made by splanchnic angiography. HAP associated with a liver abscess, has very rarely been described in the literature. We report the case of a 50-year-old man with amoebic liver abscess and right hepatic artery pseudoaneurysm which was suspected on high resolution contrast-enhanced abdominal computer tomography (CT). The lesion was confirmed by arteriography and treated prophylactically with transcatheteter embolization

Marketing Features on University Library Websites in Pakistan

The purposes of the study are to identify marketing key features through content analysis of university library websites in Pakistan. Also compare the public and private sectors university library websites in terms of marketing activities. Similarly, expose marketing key features that lacks in public and private sector university library websites. Based on the adopted criteria, a checklist of marketing features was designed. A purposive sample of 53 main (Central) libraries websites of public and private sector universities having at least one marketing feature was selected for detailed analysis. The study reveals that the overall situation of university library websites in terms of marketing features is not good. However, public sector university library websites are comparatively better in this regard than the private sector. The results of the study help libraries to design and implement a strategic marketing plan that will ultimately create awareness about library resources and services via websites and help to improve the image of universities libraries in Pakistan. This study is new in Pakistan and fills the gap in the literature on the subject. Moreover, this study will support in developing library websites equipped with marketing features

Association of clinical characteristics of patients presenting with influenza like illness or severe acute respiratory illness with development of acute respiratory distress syndrome

Clinical judgement and suspicion of influenza based on signs and symptoms of influenza-like illness and severe acute respiratory illness are critical for better patient outcome. Whether clinical characteristics of patients are associated with the development of acute respiratory distress syndrome and PCR positivity of samples was the aim of this study. We included all patients (n=37) presenting with influenza like illness (ILI) or severe acute respiratory illness (SARI) to a tertiary care hospital in northwest Pakistan during December 2015 until the end of January 2016. Each patient was assessed for signs and symptoms, clinical features, treatment, complications and outcome of ILI and SARI. Throat or nasopharyngeal swabs were obtained from 36 patient and analyzed for the presence of Influenza virus by quantitative PCR. Patients presenting with ILI or SARI were febrile (p<0.001, one sample t-test), significantly tachypneic (p<0.001) and had critically lower oxygen saturation (p<0.001). Nasal congestion at presentation (p=0.006, chi-square test for association) and infiltrates on chest radiographs (p=0.025) were significantly associated with acute respiratory distress syndrome. Likelihood of the occurrence of ARDS was significantly increased with decrease in oxygen saturation (Odds ratio; 0.75, 95% CI; 0.46, 1.21, p=0.048) and marginally significantly increased in lower age (Odds ratio; 0.82, 95% CI; 0.58, 1.15, p=0.055) and higher white cell count (Odds ratio; 1.001, 95% CI; 0.99, 1.002, p=0.054). The presence of Influenza type A/H1N1pdm09 strains was confirmed in 7/11 patients. However no significant difference was observed in the clinical features and complications of PCR positive and negative patients. Clinical signs and symptoms of influenza-like illness or severe acute respiratory illness significantly predict the development of complications irrespective of the positivity or negativity of laboratory qPCR reports

An Exponential Ratio Type Estimator of the Population Mean in The Presence of Non-Response Using Double Sampling

In modern era, proper and effective planning can be only possible using statistical techniques to estimate different characteristics of population under studies. An appropriate sample design based on efficient estimation technique is desirable to extract maximum information from sample data. It is a well-known phenomenon to use auxiliary information and to reduce the negative impact of non-response using Hansen & Hurwitz approach that further increase the efficiency of an estimator. Information on one or more auxiliary variables correlated with study variable in several ways to get more reliable estimate. The current paper presents a novel Exponential ratio type estimator to estimate the population mean under the problem of non- response. The proposed estimator further reduces the mean square error in the case of double sampling scheme. Approximate algebraic expressions of the mean square error are discussed; in addition, two real applications are also presented. Several ratio and regression type estimators were developed which perform better with several optimization constants under double sampling in the presence of non-response. However, the proposed estimator has utilized information on auxiliary variables in exponential form and place optimization constants in such positions which further increase the efficiency of the estimator even in all level of correlation coefficients among study and auxiliary variables. Real world data examples, as well as simulation study have been performed to know efficiency of the proposed method over mentioned competitors

Robust Image Hashing Based Efficient Authentication for Smart Industrial Environment

[EN] Due to large volume and high variability of editing tools, protecting multimedia contents, and ensuring their privacy and authenticity has become an increasingly important issue in cyber-physical security of industrial environments, especially industrial surveillance. The approaches authenticating images using their principle content emerge as popular authentication techniques in industrial video surveillance applications. But maintaining a good tradeoff between perceptual robustness and discriminations is the key research challenge in image hashing approaches. In this paper, a robust image hashing method is proposed for efficient authentication of keyframes extracted from surveillance video data. A novel feature extraction strategy is employed in the proposed image hashing approach for authentication by extracting two important features: the positions of rich and nonzero low edge blocks and the dominant discrete cosine transform (DCT) coefficients of the corresponding rich edge blocks, keeping the computational cost at minimum. Extensive experiments conducted from different perspectives suggest that the proposed approach provides a trustworthy and secure way of multimedia data transmission over surveillance networks. Further, the results vindicate the suitability of our proposal for real-time authentication and embedded security in smart industrial applications compared to state-of-the-art methods.This work was supported in part by the National Natural Science Foundation of China under Grant 61976120, in part by the Natural Science Foundation of Jiangsu Province under Grant BK20191445, in part by the Six Talent Peaks Project of Jiangsu Province under Grant XYDXXJS-048, and sponsored by Qing Lan Project of Jiangsu Province, China.Sajjad, M.; Ul Haq, I.; Lloret, J.; Ding, W.; Muhammad, K. (2019). Robust Image Hashing Based Efficient Authentication for Smart Industrial Environment. IEEE Transactions on Industrial Informatics. 15(12):6541-6550. https://doi.org/10.1109/TII.2019.2921652S65416550151

Remote Sensing of the Glacial Environment Influenced by Climate Change

Remote sensing-based observations prove to be critical for the monitoring and assessment of cryosphere in the Himalayan region, where routine data collection in mountainous regions is often hampered by highly inaccessible terrain and harsh climatic conditions. The glacierized region of High Asia is also facing the effects of climate change in the form of rapid melting of glacial ice, creation of new lakes, and expansion of the existing ones, which eventually result in hazardous glacial floods downstream. Multisensor remote sensing (RS) data, e.g., MODIS, Landsat-7 & 8, and SPOT-5 XS, coupled with Google Earth and digital elevation model (DEM) data were used to investigate the snow/glacier resources and their dynamics in the Karakoram–Himalaya basins adopting variable image interpretation and modeling techniques. Minimum numbers of large-sized glaciers were identified in the Himalaya range, which points toward higher rates of glacial ice melting in this range. On the contrary, the presence of relatively higher numbers of medium- to large-sized glaciers in the Karakoram range provides an evidence of favorable climate conditions for the glaciers\u27 existence at higher altitudes. A significant gain in snow cover was observed in Hunza basin during the 2001–2011 period, which may feed high-altitude zone resulting in net expansion of the snow cover and ice mass gain in the Karakoram. The integrated use of RS and geographical information systems (GIS) techniques with sparse in situ data is found to be helpful in analyzing the glacial environment in the context of changing climate in the high-altitude Himalayan region

Ochratoxicosis in White Leghorn breeder hens: Production and breeding performance

This study was designed to evaluate the effect of Ochratoxin A (OTA) upon production and breeding parameters in White Leghorn (WL) breeder hens. For this purpose, 84 WL breeder hens were divided into seven groups (A-G). The hens in these groups were maintained on feed contaminated with OTA @ 0.0 (control), 0.1, 0.5, 1.0, 3.0, 5.0 and 10.0 mg/Kg, respectively for 21 days. These hens were artificially inseminated with semen obtained from healthy roosters kept on OTA free feed. Egg production and their quality parameters were recorded. Fertile eggs obtained from each group were set for incubation on weekly basis. At the end of the experiment, hens in each group were killed to determined gross and microscopic lesions in different organs. OTA residue concentrations were determined in extracts of liver, kidneys and breast muscles by immunoaffinity column elution and HPLC-Fluorescent detection techniques. Feeing OTA contaminated diet resulted in a significant decrease in egg mass and egg quality parameters. Liver and kidneys showed characteristic lesions of ochratoxicosis. Residue concentration (ng/g) of OTA in the hens fed 10 mg/kg OTA, was the highest in liver (26.336±1.16) followed by kidney (8.223±0.85) and were least in breast muscles (1.235±0.21). Embryonic mortalites were higher, while hatachabilites of the chicks were lower in the groups fed higher doses of OTA. Feeding OTA contaminated diets to breeder hen resulted in residues accumulation in their tissues along with significantly reduced production and breeding performance

Assessment of Optimal Production Through Assembly Line-Balancing and Product-Mix Flexibility

Timely accomplishment of production targets is a challenging task in low volume–high variety environment. Assessment of the manufacturing flexibility of a production system assists in achieving the desired objectives. In this research, the operational flexibility of a production system is investigated which operates under the low-volume high-variety production scenario. Prospective dimensions of theproduction flexibility are studied to analyze its interface with the integrated functional units. It was analyzed that with a low-volumeoperational flexibility (OF) varies rationally despite high job varieties. Line-balancing and queuing techniques are applied to ascertain theoptimum productivity. A sensitivity analysis is also performed to evaluate the critical parameters that affect the OF and productivity level.OF index of the production system was estimated by means of the optimized production parameters. A comparative analysis is performedto evaluate the flexibility in conventional and flexible production cells. Analytical and computational results show a close approximationand validate the implemented schemes

Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments

Extremes precipitation may cause a series of social, environmental, and ecological problems. Estimation of frequency of extreme precipitations and its magnitude is vital for making decisions about hydraulic structures such as dams, spillways, and dikes. In this study, we focus on regional frequency analysis of extreme precipitation based on monthly precipitation records (1999–2012) at 17 stations of Northern areas and Khyber Pakhtunkhwa, Pakistan. We develop regional frequency methods based on L-moment and partial L-moments (L- and PL-moments). The L- and PL-moments are derived for generalized extreme value (GEV), generalized logistic (GLO), generalized normal (GNO), and generalized Pareto (GPA) distributions. The Z-statistics and L- and PL-moments ratio diagrams of GNO, GEV, and GPA distributions were identified to represent the statistical properties of extreme precipitation in Northern areas and Khyber Pakhtunkhwa, Pakistan. We also perform a Monte Carlo simulation study to examine the sampling properties of L- and PL-moments. The results show that PL-moments perform better than L-moments for estimating large return period events