A Clinical Audit of blood component transfusion practices in Paediatric intensive care unit of a Tertiary Care Hospital, Rawalpindi

Background: To audit the practices involved in blood component transfusion in the management of patients in paediatric intensive care unit of our hospital and to determine the appropriateness of transfusion after comparing them with clinical practice guidelines recommended by Royal Children Hospital (RCH). Methods: All patients admitted in pediatric intensive care which were managed with blood component transfusions were retrospectively audited for 8 weeks. Management details including indications of transfusion and its appropriateness were recorded. Clinical practice guidelines recommended by Royal Children Hospital (RCH) were used as standards. Results: One hundred and ninety-two transfusions were done during the study period out of which 58 percent were done to males and 41 percent to females. Majority of transfusions were done in infants (44%) and O Positive blood group was found rampant among blood groups of all recipients (33.3%). Red cell concentrates were predominantly (55.7%) and appropriately (72%) transfusion among all blood components. Platelet concentrates were most inappropriately transfused (57%) followed by fresh frozen plasma (54%) and red cell concentrates (27%). There was significant percentage of inappropriate transfusion of all blood components (p=0.00). Conclusion: All blood components were significantly found inappropriately transfused, commonest component being platelet concentrates

A Majority Vote Based Classifier Ensemble for Web Service Classification

Service oriented architecture is a glue that allows web applications to work in collaboration. It has become a driving force for the service-oriented computing (SOC) paradigm. In heterogeneous environments the SOC paradigm uses web services as the basic building block to support low costs as well as easy and rapid composition of distributed applications. A web service exposes its interfaces using the Web Service Description Language (WSDL). A central repository called universal description, discovery and integration (UDDI) is used by service providers to publish and register their web services. UDDI registries are used by web service consumers to locate the web services they require and metadata associated with them. Manually analyzing WSDL documents is the best approach, but also most expensive. Work has been done on employing various approaches to automate the classification of web services. However, previous research has focused on using a single technique for classification. This research paper focuses on the classification of web services using a majority vote based classifier ensemble technique. The ensemble model overcomes the limitations of conventional techniques by employing the ensemble of three heterogeneous classifiers: Naïve Bayes, decision tree (J48), and Support Vector Machines. We applied tenfold cross-validation to test the efficiency of the model on a publicly available dataset consisting of 3738 real world web services categorized into 5 fields, which yielded an average accuracy of 92 %. The high accuracy is owed to two main factors, i.e., enhanced pre-processing with focused feature selection, and majority based ensemble classification

A case of hashimoto’s encephalopathy in a patient with lithium toxicity

Hashimoto’s encephalopathy is a rare neurological disorder of unknown etiology. We presented, a case of middle aged male with bipolar disorder on Lithium carbonate for 30 years, admitted with altered behavior for 2 weeks and high Lithium levels. He was admitted with the suspicion of Lithium toxicity. EEG showed generalized epileptiform discharges. MRI brain revealed frontal cortical atrophy. CSF detailed report was normal. Further workup showed a high TSH level and positive anti-TPO (anti thyroid peroxidase) antibodies. Based on clinical picture, raised antibodies and no discernible cause, diagnosis of probable Hashimoto’s encephalopathy was made. He received pulse of methylprednisolone for five days and his symptoms improved dramatically. Our case report highlights the importance of diagnosing a rare neurological syndrome in a complex clinical scenario

PAKistan Study of prEmature coronary atHerosclerosis in young AdulTs (PAK-SEHAT): A prospective longitudinal study protocol investigating the prevalence, severity and determinants of atherosclerotic cardiovascular disease in the young adult Pakistani population

Introduction: Atherosclerotic cardiovascular disease (ASCVD) is a major cause of morbidity, mortality and health expenditures worldwide. Despite having higher ASCVD in the Pakistani population, data on subclinical coronary atherosclerosis in young Pakistanis remain scarce. The PAKistan Study of prEmature coronary atHerosclerosis in young AdulTs (PAK-SEHAT) aims to assess the prevalence, severity and determinants of subclinical coronary atherosclerosis among Pakistani men (35-60 years) and women (35-65 years) free of clinically symptomatic ASCVD and will assess 5-year rates of ASCVD events.Methods and analysis: PAK-SEHAT is an ongoing prospective cohort study with 2000 participants from all provinces of Pakistan who will be interviewed at the baseline along with phlebotomy, measurement of carotid intima-media thickness (CIMT) and coronary CT angiography (CCTA). Phlebotomy will be repeated at 2.5 years, whereas CIMT and CCTA will be repeated at 5 years. We will report the frequency of maximal coronary stenosis ≥50% and ≥70%, number of coronary vessels with plaque and the number of coronary segments affected per participant on CCTA. We will use Cox proportional hazards regression models to evaluate the association between baseline characteristics and incident ASCVD events during follow-up. These associations will be presented as HRs with 95% CIs.Ethics and dissemination: The study protocol was approved by the Tabba Heart Institute Institutional Review Board (THI/IRB/FQ/22-09-2021/016). All study procedures are consistent with the principles of the Declaration of Helsinki. Findings of the study will be disseminated via peer-reviewed publications and conference presentations.Trial registration number: NCT05156736

A hybrid egocentric video summarization method to improve the healthcare for Alzheimer patients

Alzheimer patients face difficulty to remember the identity of persons and performing daily life activities. This paper presents a hybrid method to generate the egocentric video summary of important people, objects and medicines to facilitate the Alzheimer patients to recall their deserted memories. Lifelogging video data analysis is used to recall the human memory; however, the massive amount of lifelogging data makes it a challenging task to select the most relevant content to educate the Alzheimer’s patient. To address the challenges associated with massive lifelogging content, static video summarization approach is applied to select the key-frames that are more relevant in the context of recalling the deserted memories of the Alzheimer patients. This paper consists of three main modules that are face, object, and medicine recognition. Histogram of oriented gradient features are used to train the multi-class SVM for face recognition. SURF descriptors are employed to extract the features from the input video frames that are then used to find the corresponding points between the objects in the input video and the reference objects stored in the database. Morphological operators are applied followed by the optical character recognition to recognize and tag the medicines for Alzheimer patients. The performance of the proposed system is evaluated on 18 real-world homemade videos. Experimental results signify the effectiveness of the proposed system in terms of providing the most relevant content to enhance the memory of Alzheimer patients

Preparation, Characterization and Application of Vitamin-E fortified Nanocoatings on Fresh-cut Apples

Fresh-cut apples have a very low shelf life due to high vulnerability to oxidation in open air. The aim of the present work was to prepare enriched nanocoatings to increase not only the shelf life of the fruit, but to add to it nutritive values as well. Hence, four different edible coatings were prepared containing vitamin-E nanoemulsion. Vitamin-E nanoemulsion was successfully prepared by EPI (Emulsion Phase Inversion) method and the particles size distribution was checked by DLS (Dynamic Light Scattering) method. Potassium Sorbate and Calcium Chloride were added, respectively, as antimicrobial and antioxidant agents. In one coating, fresh lemon juice was used in place of ascorbic acid for comparison. To reduce respiration and water vapor permeability, methyl cellulose and stearic acid were added in different ratios to all the four coatings. Prepared coatings were then applied on freshly-cut apple pieces using dip method. Various characterization parameters were performed to analyze the quality of vitamin-E fortified edible nanocoatings such as weight loss, titrateable acidity, total soluble solids, and total phenolics for two weeks. In addition, antimicrobial activity of the prepared edible coatings was done using LBA (Luria Bertani Agar) culture media. All the coatings showed good results but the coating containing fresh lemon juice gave comparatively better results

Determination of Crop Coefficient of Hybrid Wheat under Arid Climate: A Pot Study

Climate change increases vulnerabilities for crop productivity in Pakistan. Water crises are increasing with an increase in temperature and change in precipitation patterns due to climate change which ultimately imposed a threat to the food security of the country. Water is indispensable for all plants to complete life cycle as the unavailability of water at critical growth stages drastically affects the development of the plant. The present pot study was conducted for the estimation of crop coefficient of hybrid wheat for irrigation scheduling at Muhammad Nawaz Shareef University of Agriculture, Multan during two growing seasons 2018-19 and 2019-20. In this experiment, three wheat varieties were used were Hybrid-1 (R26-3-1/DH-16), Hybrid-2(AR 7-5 / ZWB-14), and Galaxy-2013 as treatment. The soil moisture content was maintained between 50 to 100 % available water content (AWC) during both growing seasons. The crop coefficient (Kc) and actual evapotranspiration (Eta) were maximum in galaxy-13 and minimum in hybrid wheat. The grain yield for Hybrid-1, Hybrid-2, and galaxy-13 was 1, 1.5, and 0.6 g plant-1, respectively while the straw output was 4.8, 4.3, and 3 g plant-1, respectively. The harvest index for Hybrid-1, Hybrid-2, and galaxy-13 were 20, 34, and 20% respectively. The water use efficiency (WUE) for Hybrid-1, Hybrid-2, and galaxy-13 was 0.2. 0.3 and 0.1 g plant-1mm-1, respectively. The Hybrid-1 and Hybrid-2 produced more grain yield, straw yield, more spikes, and more grains per spikes and showed more water use efficiency with short plant height as compared to galaxy-13. The results of the study revealed that Hybrid-2 is more water-efficient with low water requirement and it was followed by Hybrid-1. The growing of Hybrid-2 will enhance the wheat yield to meet the food requirements of the increasing population under the climate change scenario with less water

Improved Generalization for Secure Data Publishing

In data publishing, privacy and utility are essential for data owners and users respectively, which cannot coexist well. This incompatibility puts the data privacy researchers under an obligation to find newer and reliable privacy preserving tradeoff-techniques. Data providers like many public and private organizations (e.g. hospitals and banks) publish microdata of individuals for various research purposes. Publishing microdata may compromise the privacy of individuals. To prevent the privacy of individuals, data must be published after removing personal identifiers like name and social security numbers. Removal of the personal identifiers appears as not enough to protect the privacy of individuals. K-anonymity model is used to publish microdata by preserving the individual's privacy through generalization. There exist many state-of-the-arts generalization-based techniques, which deal with pre-defined attacks like background knowledge attack, similarity attack, probability attack and so on. However, existing generalization-based techniques compromise the data utility while ensuring privacy. It is an open question to find an efficient technique that is able to set a trade-off between privacy and utility. In this paper, we discussed existing generalization hierarchies and their limitations in detail. We have also proposed three new generalization techniques including conventional generalization hierarchies, divisors based generalization hierarchies and cardinality-based generalization hierarchies. Extensive experiments on the real-world dataset acknowledge that our technique outperforms among the existing techniques in terms of better utility