Frequency of Predisposing Factor of Nausea and Vomiting After Chest Surgery Under General Anaesthesia

Background: Postoperative nausea and vomiting are common and distressing postsurgical symptoms. These symptoms are of particular concern in outpatient surgery because they may require additional direct resources, such as supplies and antiemetic drugs, and may delay discharge. The objective of this study was to measure the frequency of factors which can cause nausea and vomiting under general anaesthesia after chest surgery. Methodology: This descriptive case series evaluated frequency of predisposing factor of nausea and vomiting in patients of anaesthesia department of Gulab Devi Hospital Lahore. Questionnaire is made and patients were asked about their age, fever, previous surgery, NPO status, smoking history and hospital stay. This study included 140 patients with post-operative nausea and vomiting. Results: In this study, 140 patients were taken in which  65 (46.43%) were female and 75 (53.57%) were male. In 140 patient 134 (95.7%) were NPO and 6 (4.3%) were not  NPO, 25 (17.9%) were obese and 115 (82.1%) were not obese, 88 (62.9%) patients were suffering fever and 52 (37.1%) were not suffering fever, 80 (57.1%) were infected and 59 (42.1%) were not infected, 53 (37.9%) patients had previous surgery and 87 (62.1%) had no previous surgery, 94 (67.1%) patients had received nitrous oxide and 46 (32.9%) didn\u27t, 97 (69.3%) received volatile gases and 43 (30.7%) not received, 29 (20.7%) received ketamine and 111 (79.3%) not received, 87 (62.1%) received suxamethonium and 53 (37.9%) not received, 119 (85.0%) received propofol and 21 (15.0%) not received, 110 (78.6%) received naluphine and 28 (20.0%) not received. Out of 140 patients, there were 122 (87.1%) who were suffering from pain and 18 (12.9%) were not. 91 (65.0%) patients had gastric distention and 49 (35.0%) patients didn\u27t. Opioids were given to 34 (24.3%) patients and not given to 106 (75.7%) patient. Conclusion: It is concluded that the nausea and vomiting after surgey under genral anesthesia is due to patient related factors in which most frequent is NPO. Drug related factors include propofol and nalbupin administration. Post operative factors include pain. In whole study of 140 patients, the  most frequent is patient related factor (NPO) other than drug related factors and post-operative factors

Anti-inflammatory activity of methanolic extract of Ficus hispida dried fruit

Background: Natural products are a valuable resource of novel bioactive metabolites and these products exist in which the anti-inflammatory activity. The present investigation studies the in vivo and in vitro anti-inflammatory activity of methanolic extract of Ficus hispida in rat’s model.Methods: Plant material was extracted with methanol in a Soxhlet extraction apparatus. Indomethacin was used as a standard drug here, which is a known potent inhibitor of PG synthesis. The carrageenin and histamine induced paw oedema were selected to represent models of acute inflammations. The test compounds and standard drugs were administered orally. After 60 minutes paw oedema was induced by giving 0.1 ml of 1% Carrageenan and 0.1 % histamine by sub-plantar administration. Paw volume-Plethysmometer by mercury displacement method, before and after 1 hr to 4 hours of carrageenan and histamine administration. Performed MTT-based cytotoxicity assay of the Ficus hispida on the RAW264.7 cell line to determine the IC50 and calculate the pro-inflammatory cytokines viz, IL-6, IL-1β and TNF-α and compared to the LPS control.Results: The result obtained from the in-vivo study shows that the Ficus hispida has significant anti- inflammatory activity in a dose dependent manner. This effect is similar to that produced by NSAIDS such as Indomethacin. The concentrations of IL-6, IL-1β and TNF-α, secreted by the cells after challenging with bacterial LPS (2 µg/ml) and subsequent treatment with 50 µg Ficus hispida has been found to reduce the production of all the three pro-inflammatory cytokines viz, IL-6, IL-1β and TNF-α as compared to the LPS control. The activity, in fact, is comparable to the standard NSAID Indomethacin.Conclusions: All these findings and phytoconstituents present in the extract could be the possible chemicals involved in the prevention of inflammations

A phytochemical and pharmacognostic approach of Ficus hispida Linn: a review

Herbal plants are arguably poised for a comeback as like sources of ethnic health products in the main due after their vast desire in accordance with synthesize complicated combinations on structurally diverse compounds, which ought to furnish a safer than more holistic approach in conformity with disease cure and prevention. Ficus hispida (FH) Linn belonging to the family Moraceae, who have various pharmacognostic properties. The class Ficus constitutes a necessary crew on trees, now not solely concerning their extensive medicinal virtue however also of their growth habits yet religious significance. Almost every part over those plants is ancient as a traditional belief on treatment because of the treatment on a variety of ailments through Indian traditional healers. The goal on the existing instruction is to accumulate competencies over ethno-medicinal and pharmacognostic importance about FH. FH includes extensive sorts on bioactives compounds as alkaloids, proteins and amino acids, carbohydrates, flavonoids, sterols, phenols, glycosides, gums and mucilage, saponins and terpenes. Multiple scientific researches have been published to establish the scientific foundation over common medicinal values attributed in conformity with FH of terms on ayurvedic usage the plant for blood disorders, anemia, dysentery, hemorrhoids, stomatorrhagia, jaundice and ulcers. The crop fruits are used namely aphrodisiac, lactagogue, emetic and tonic. Furthermore, pharmacological activities like anticancer, antioxidant, hepatoprotective, cardioprotective, anti-inflammatory have been additionally acknowledged recently. Till now, no action has been published in conformity with elaborate the pharmacognostic functions of FH Linn. The existing decrial is, therefore, an endeavour to relinquish a clear estimate of its pharmacognosy and phytochemistry and a considerable survey over its pharmacological activities

Application of data science for controlling energy crises: A case study of Pakistan

© 2019 Association for Computing Machinery. Today Pakistan is facing numerous challenges for the interconnection of local energy resources and for balanced energy policies. Data Science, Big Data, Artificial Intelligence (AI), IoT and Cloud computing draws our focus towards controlling energy crises in terms of smart energy generation, consumption and to overcome causes of energy crises. To make a conclusion valuable we have to extract significant value from a large amount of data that‟s why data management plays a significant role. This Paper presents a review of energy sectors, energy resources, energy crises in Pakistan. It also presents the possible solution of energy crises with the help of data science application and the involvement of Big Data, Cloud computing, IoT and AI

A bibliometric study of the top 100 most-cited randomized controlled trials, systematic reviews and meta-analyses published in endodontic journals

Aim To identify and analyse the main features of the top 100 most‐cited randomized controlled trials, systematic reviews and meta‐analyses published in endodontic journals from 1961 to 2018. Methodology The Clarivate Analytics’ Web of Science ‘All Databases’ was used to search and analyse the 100 most frequently cited randomized controlled trials, systematic reviews and meta‐analyses having ‘randomized’, ‘randomised’, ‘randomized controlled’, ‘randomised controlled’, ‘randomized controlled trial’, ‘randomized controlled trials’, ‘clinical trial’, ‘systematic’, ‘systematic review’, ‘meta‐analysis’, and ‘meta‐analyses’ in the title section. The ‘International Endodontic Journal’, ‘Journal of Endodontics’, ‘Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology’, ‘Australian Endodontic Journal’, ‘Endodontics & Dental Traumatology’, ‘Endo‐Endodontic Practice Today’ and ‘European Endodontic Journal’ were included in the publication name section. After ranking the articles in a descending order based on their citation counts, each article was cross‐matched with the citation counts in Elsevier's Scopus and Google Scholar. The articles were analysed, and information on citation counts, citation density, year of publication, contributing authors, institutions and countries, journal of publication, study design, topic of the article and keywords was extracted. Results The citation counts of the 100 most‐cited articles varied from 235 to 20 (Web of Science), 276 to 17 (Scopus) and 696 to 1 (Google Scholar). The year in which the top 100 articles were published was 2010 (n = 13). Among 373 authors, the greatest number of articles was associated with three individuals namely Reader A (n = 5), Beck M (n = 5) and Kvist T (n = 5). Most of the articles originated from the United States (n = 24) with the greatest contribution from Ohio State University (USA) (n = 5). Randomized controlled trials were the most frequent study design (n = 45) followed by systematic reviews (n = 30) with outcome studies of root canal treatment being the major topic (n = 35). The Journal of Endodontics published the largest number of included articles (n = 70) followed by the International Endodontic Journal (n = 27). Among 259 unique keywords, meta‐analysis (n = 23) and systematic review (n = 23) were the most frequently used. Conclusion This study has revealed that year of publication had no obvious impact on citation count. The bibliometric analysis highlighted the quantity and quality of research, and the evolution of scientific advancements made in the field of Endodontology over time. Articles before 1996, that is prior to the CONSORT statement that encouraged authors to include specific terms in the title and keywords, may not have been included in this electronic search

Three dimensional point cloud compression and decompression using polynomials of degree one

© 2019 by the authors. The availability of cheap depth range sensors has increased the use of an enormous amount of 3D information in hand-held and head-mounted devices. This has directed a large research community to optimize point cloud storage requirements by preserving the original structure of data with an acceptable attenuation rate. Point cloud compression algorithms were developed to occupy less storage space by focusing on features such as color, texture, and geometric information. In this work, we propose a novel lossy point cloud compression and decompression algorithm that optimizes storage space requirements by preserving geometric information of the scene. Segmentation is performed by using a region growing segmentation algorithm. The points under the boundary of the surfaces are discarded that can be recovered through the polynomial equations of degree one in the decompression phase. We have compared the proposed technique with existing techniques using publicly available datasets for indoor architectural scenes. The results show that the proposed novel technique outperformed all the techniques for compression rate and RMSE within an acceptable time scale

Haplotype assignment of longitudinal viral deep-sequencing data using co-variation of variant frequencies

Longitudinal deep sequencing of viruses can provide detailed information about intra-host evolutionary dynamics including how viruses interact with and transmit between hosts. Many analyses require haplotype reconstruction, identifying which variants are co-located on the same genomic element. Most current methods to perform this reconstruction are based on a high density of variants and cannot perform this reconstruction for slowly evolving viruses. We present a new approach, HaROLD (HAplotype Reconstruction Of Longitudinal Deep sequencing data), which performs this reconstruction based on identifying co-varying variant frequencies using a probabilistic framework. We illustrate HaROLD on both RNA and DNA viruses with synthetic Illumina paired read data created from mixed human cytomegalovirus and norovirus genomes, and clinical datasets of human cytomegalovirus and norovirus samples, demonstrating high accuracy, especially when longitudinal samples are available

Selective Laser Melting of 316L Austenitic Stainless Steel: Detailed Process Understanding Using Multiphysics Simulation and Experimentation

The parameter sets used during the selective laser melting (SLM) process directly affect the final product through the resulting melt-pool temperature. Achieving the optimum set of parameters is usually done experimentally, which is a costly and time-consuming process. Additionally, controlling the deviation of the melt-pool temperature from the specified value during the process ensures that the final product has a homogeneous microstructure. This study proposes a multiphysics numerical model that explores the factors affecting the production of parts in the SLM process and the mathematical relationships between them, using stainless steel 316L powder. The effect of laser power and laser spot diameter on the temperature of the melt-pool at different scanning velocities were studied. Thus, mathematical expressions were obtained to relate process parameters to melt-pool temperature. The resulting mathematical relationships are the basic elements to design a controller to instantly control the melt-pool temperature during the process. In the study, test samples were produced using simulated parameters to validate the simulation approach. Samples produced using simulated parameter sets resulting in temperatures of 2000 (K) and above had acceptable microstructures. Evaporation defects caused by extreme temperatures, unmelted powder defects due to insufficient temperature, and homogenous microstructures for suitable parameter sets predicted by the simulations were obtained in the experimental results, and the model was validated