Gender Dan Identitas Dalam Sastra Di Mata Remaja

Young adult literature is one of the literary genre which implied teenage audience or adolescent. It is often confused with what can be exactly considered as children literature. Adolescence as a group of age, is placed in between childhood and adult people. Through an adolescent fiction, Lupus, this research sees gender as an effect and as a tool which could influence the adolescent's identity. Based on theory of social practice, the things that are usually done by the teenagers in everyday life will be considered as a common sense although it is opposed to normative matters, such as a choice of their gender role. Adolescent readers in this case, are not fully aware of gender and identity, but they define those things related to the construction of sociocultural context

EFFECT OF CASH MANAGEMENT PRACTICES ON FINANCIAL PERFORMANCE OF SMALL AND MEDIUM ENTERPRISES IN VISAKHAPATNAM AND VIZIANAGARAM DISTRICTS OF ANDHRA PRADESH, INDIA

In any economy, small and medium-sized enterprises (SMEs) play an important role because they are capable of generating employment, fostering GDP growth, embarking on innovation and stimulating other economic activities. The foundation of all developed and emerging nations is said to be this business. The growth of the small and medium-sized enterprises (SME) sector is of vital importance to every country, regardless of its level of development, as this sector has great potential to produce full socio-economic benefits for a country with a minimum level of investment. In their first five years of existence, the number of small and medium-scale enterprises die, and a few numbers of companies go through extinction between the sixth and tenth years. Yet 5 % to 10% of small and medium-sized companies will thrive, prosper, and mature. The cause for this is not simply a lack of money and it could be poor cash management practises. The investigator sought to examine cash management activities of small and medium businesses in this article. A comprehensive analysis with a formal questionnaire from a survey of 360 including 346 small and 14 medium-sized enterprises in the districts of Visakhapatnam and Vizianagaram was used. Article visualizations

Pregnancy outcome in Non-cirrhotic portal hypertension

Background: To study the maternal and fetal outcome of non-cirrhotic portal hypertension (NCPH) in pregnancy.Methods: We retrospectively analyzed ten women with the diagnosis of NCPH in pregnancy. The study was done at St John’s Medical College Hospital Bangalore, Karnataka from January 2012 - January 2016. All the necessary data was obtained by record review.Results: The mean age of the pregnant woman was 25.5 years. Among 10 women with the diagnosis of NCPH 4 had Non-cirrhotic portal fibrosis (NCPF) and 6 had Extrahepatic portal venous obstruction (EHPVO). Six patients were diagnosed with NCPH prior to pregnancy; while among the remaining 4 patients, 1 had variceal bleed and the other 3 manifested with splenomegaly during pregnancy which led to the diagnosis of NCPH. All these 4 patients were successfully managed with beta blockers alone without any surgical intervention during pregnancy. Thrombocytopenia and splenomegaly were the most common clinical manifestations which were observed in all 10 patients. Severe thrombocytopenia (platelet <50,000 cells/mm3) was seen in 7 patients who received platelet transfusion. Six (60%) of patients had vaginal delivery, the other 4 underwent cesarean section due to meconium stained liquor and fetal distress in early labor. Hence cesarean delivery was reserved only for obstetric indication. Postpartum hemorrhage was seen in 2 patients managed conservatively, one patient on 3rd postoperative day developed ascites and pleural effusion requiring pleural tapping and diuretics with successful recovery. There was no maternal mortality during the study period. The fetal/neonatal outcome was good in the present study with 90% of babies with good APGAR score, whereas 1 preterm neonate developed HIE stage 2 requiring prolonged NICU stay. The overall pregnancy outcome was good in the present study.Conclusions: Pregnancies can be allowed and managed successfully in patients with NCPH

Satellite Image Classification using Clustering Algorithms with Edge Detection Operators

Image classification consists of image processing algorithms for grouping cells of similar characteristics together. Satellite image classification is essential to extract the information and identify the different components such as water dense region, roads, vegetation etc. from the classified image. In this paper, an attempt is made to locate and identify the different regions of interest using classification algorithms such as K means and Fuzzy-C Means. Comparison is done for both the algorithms in terms of computational time and memory requirements. Also, the algorithms are applied for the input image by considering different values of K and its discussion is presented in the paper. The algorithms are then applied for the given image with edge detection operators to obtain the better visual clarity of the edges

Characterization of Solution-Phase Drug-Protein Interactions by Ultrafast Affinity Extraction

A number of tools based on high-performance affinity separations have been developed for studying drug-protein interactions. An example of one recent approach is ultrafast affinity extraction. This method has been employed to examine the free (or non-bound) fractions of drugs and other solutes in simple or complex samples that contain soluble binding agents. These free fractions have also been used to determine the binding constants and rate constants for the interactions of drugs with these soluble agents. This report describes the general principles of ultrafast affinity extraction and the experimental conditions under which it can be used to characterize such interactions. This method will be illustrated by utilizing data that have been obtained when using this approach to measure the binding and dissociation of various drugs with the serum transport proteins human serum albumin and alpha1-acid glycoprotein. A number of practical factors will be discussed that should be considered in the design and optimization of this approach for use with single-column or multi-column systems. Techniques will also be described for analyzing the resulting data for the determination of free fractions, rate constants and binding constants. In addition, the extension of this method to complex samples, such as clinical specimens, will be considered

Winning versus losing during gambling and its neural correlates

Humans often make decisions which maximize an internal utility function. For example, humans often maximize their expected reward when gambling and this is considered as a "rational" decision. However, humans tend to change their betting strategies depending on how they "feel". If someone has experienced a losing streak, they may "feel" that they are more likely to win on the next hand even though the odds of the game have not changed. That is, their decisions are driven by their emotional state. In this paper, we investigate how the human brain responds to wins and losses during gambling. Using a combination of local field potential recordings in human subjects performing a financial decision-making task, spectral analyses, and non-parametric cluster statistics, we investigated whether neural responses in different cognitive and limbic brain areas differ between wins and losses after decisions are made. In eleven subjects, the neural activity modulated significantly between win and loss trials in one brain region: the anterior insula ($p=0.01$). In particular, gamma activity (30-70 Hz) increased in the anterior insula when subjects just realized that they won. Modulation of metabolic activity in the anterior insula has been observed previously in functional magnetic resonance imaging studies during decision making and when emotions are elicited. However, our study is able to characterize temporal dynamics of electrical activity in this brain region at the millisecond resolution while decisions are made and after outcomes are revealed

Isolation and characterization of microsatellite markers from Garcinia morella using next generation sequencing technology and cross-species amplification

The fruit-bearing medicinal tree, Garcinia morella, grows in the tropical rain forests of India’s Western Ghats, Indo-Chinese Himalayan regions and Sri Lanka. Its fruit rinds are used as a garnish and in seasoning during food preparation. In order to genetically exploit it and assess diversity, development of microsatellite markers was attempted. We partially sequenced genomic DNA using the Illumina Hiseq 2000 platform and examined sequence data for microsatellite loci. We obtained high-quality 10653 Mbp data and was assembled into 1613263 contigs. A total of 121199 SSRs were discovered, Di nucleotide repeats were predominant (42.5%), followed by mono and tri nucleotide repeats (30.4 and 7.9%, respectively). We were able to design primers for 52901 microsatellites. Genetic analysis of 48 SSR loci, showed PIC values ranging from 0.067 to 0.939 with a mean value of 0.7547. The allele per locus ranged from 2 to 24 with a mean of 13. These microsatellite markers can be employed for genetic diversity analysis, molecular characterization and mapping different traits

An integrative ChIP-chip and gene expression profiling to model SMAD regulatory modules

<p>Abstract</p> <p>Background</p> <p>The TGF-β/SMAD pathway is part of a broader signaling network in which crosstalk between pathways occurs. While the molecular mechanisms of TGF-β/SMAD signaling pathway have been studied in detail, the global networks downstream of SMAD remain largely unknown. The regulatory effect of SMAD complex likely depends on transcriptional modules, in which the SMAD binding elements and partner transcription factor binding sites (SMAD modules) are present in specific context.</p> <p>Results</p> <p>To address this question and develop a computational model for SMAD modules, we simultaneously performed chromatin immunoprecipitation followed by microarray analysis (ChIP-chip) and mRNA expression profiling to identify TGF-β/SMAD regulated and synchronously coexpressed gene sets in ovarian surface epithelium. Intersecting the ChIP-chip and gene expression data yielded 150 direct targets, of which 141 were grouped into 3 co-expressed gene sets (sustained up-regulated, transient up-regulated and down-regulated), based on their temporal changes in expression after TGF-β activation. We developed a data-mining method driven by the Random Forest algorithm to model SMAD transcriptional modules in the target sequences. The predicted SMAD modules contain SMAD binding element and up to 2 of 7 other transcription factor binding sites (E2F, P53, LEF1, ELK1, COUPTF, PAX4 and DR1).</p> <p>Conclusion</p> <p>Together, the computational results further the understanding of the interactions between SMAD and other transcription factors at specific target promoters, and provide the basis for more targeted experimental verification of the co-regulatory modules.</p

Electronic prescribing system design priorities for antimicrobial stewardship: a cross-sectional survey of 142 UK infection specialists.

The implementation of electronic prescribing and medication administration (EPMA) systems is a priority for hospitals and a potential component of antimicrobial stewardship (AMS).Accepted manuscript, 12 month embarg

GWAS of thyroid stimulating hormone highlights pleiotropic effects and inverse association with thyroid cancer

Correction: Volume12, Issue1 Article Number7354 DOI10.1038/s41467-021-27675-w PublishedDEC 16 2021Thyroid stimulating hormone (TSH) is critical for normal development and metabolism. To better understand the genetic contribution to TSH levels, we conduct a GWAS meta-analysis at 22.4 million genetic markers in up to 119,715 individuals and identify 74 genome-wide significant loci for TSH, of which 28 are previously unreported. Functional experiments show that the thyroglobulin protein-altering variants P118L and G67S impact thyroglobulin secretion. Phenome-wide association analysis in the UK Biobank demonstrates the pleiotropic effects of TSH-associated variants and a polygenic score for higher TSH levels is associated with a reduced risk of thyroid cancer in the UK Biobank and three other independent studies. Two-sample Mendelian randomization using TSH index variants as instrumental variables suggests a protective effect of higher TSH levels (indicating lower thyroid function) on risk of thyroid cancer and goiter. Our findings highlight the pleiotropic effects of TSH-associated variants on thyroid function and growth of malignant and benign thyroid tumors. Thyroid stimulating hormone (TSH) is critical for normal development and metabolism. Here, the authors conduct a GWAS and suggest protective effect of higher TSH on risk of thyroid cancer and goitre.Peer reviewe