Miracle-dz/UniFAR-FTUs huggingface dataset:
Dialogue for Quality Improvement and “Just Culture”

Being a nursing faculty member at a university, weekly clinical teaching and supervision with undergraduate nursing students were included in my responsibilities. Students were placed on the medicalsurgical units with the juniors in the adult nursing course, while the seniors were in nursing leadership and management course. At the end of the rotation, they were evaluated both theoretically and clinically.
Effect of Biological and Chemical Nitrogen Fertilizers on Yield, Yield Components and essential oil content of German Chamomile (Matricaria chamomilla L.) in Shahr-e-Ray Region

In order to evaluate the variations of some morphological traits, yield, seed yield components and essential oil yield of German Chamomile under different application levels of nitrogen (N) and biofertilizers, a split plot experiment laid out in a randomized complete blocks design with three replications in Shar-e-Ray (Gale No) region. Chemical N fertilizer application in three levels (0, 65 and 130 Kg/Ha) was considered as the main factor and biofertilizers application (Control, Nitroxin, Barvar-2 phosphate and a mixture of both) as the secondary factor. Variance analysis results showed that there was no significant relationship between Chamomile Harvest Index and N fertilizer application. Also, the interaction effect of N and biofertilizers was not significant on Chamomile seed and essential oil yields. The rise in N application led to a significant increase in plant height, Capitol fresh and dried yield, seed and essential yields. More ever, the application of biofertilizers, especially Nitroxin, increased the vegetative growth and essence percentage. The evaluation of interaction effects indicated the influential role of biofertilizers, along with high levels N fertilizers application, in Chamomile higher essence percentage and yield, since the highest essence yield (6.76 Kg/Ha) was obtained from the treatment that was concurrently fertilized with Nitroxin and Barvar-2 phosphate biofertilizers at the second N fertilization (N2B4) level. According to the results, it seems that concurrent application of biofertilizers and N not only increases vegetative growth and essence yield, but also gradually decreases chemical fertilizer consumption which is a prerequisite of Chamomile organic production.
UNSTABLE FRACTURE OF THORACOLUMBAR SPINE; OUTCOME OF TRANS PEDICULAR SCREWS FIXATION

Objectives: To evaluate the functional outcome of unstable thoracolumbar fractures fixed with pedicular screws and rods. Study Design: Descriptive case series. Setting: Department of Orthopedics and Spine surgery Ghurki Trust Teaching Hospital Lahore. Period: February 2013 to October 2015. Material & Methods: Patients of either gender or all ages with thoracolumbar fractures fulfilling the inclusion criteria were fixed with pedicular screws and rods under general anesthesia. Post operatively patients were reviewed monthly for one year and results were analyzed according to modified McNab criteria as excellent, good, fair and poor at final follow up. Results: A total of 281 patients including 193(68.68%) males and 88(31.32%) females with mean age 28.32 years (range 18 to 60 years) were included in our study. Majority (91 patients) had fractures of L1 followed by L2 (73 patients) fracture and D12 (67 patients) fracture. Pre operatively 95(33.81%) were neurologically graded as Frankle grade D,73 (25.98%) grade C while 49(17.44%) were graded as Frankle grade E.Post operatively final follow up at one year yielded excellent clinical outcome in majority (91.46%,n=257) while good and fair outcomes were reported in 6.41%(18 patients), and 2.14%(6 patients) respectively according to modified McNab criteria. No post op neurological detoriation, mortality or other major complication was reported in the study. Conclusion: Pedicular screw and rod fixation for unstable thoracolumbar fractures gave excellent functional results in majority of patient as it reduces complications of recumbency and helps in early mobilization. We recommend it as a first line treatment for such fractures.
Color Image Retrieval Based on Full Range Gaussian Markov Random Field Model

— This paper proposes a novel method, based on Full Range Autoregressive (FRAR) model with Bayesian approach for color image retrieval. The color image is segmented into various regions according to its structure and nature. The segmented image is modeled to RGB color space. On each region, the model parameters are computed. The model parameters are formed as a feature vector of the image. The Hotlling T 2 Statistic distance is applied to measure the distance between the query and target images. Moreover, the obtained results are compared to that of the existing methods, which reveals that the proposed method outperforms the existing methods.
Utility Mining: An Enhanced UP Growth Algorithm for Finding Maximal High Utility Itemsets

: Efficient discovery of high utility itemsets from a database is defined as utility mining. An itemset whose utility value is greater than utility threshold is known as high utility itemsets. In recent years, several algorithms have been proposed in utility mining. In a transaction database, utility mining algorithms extract high profitable itemsets. In a huge volume transaction database, utility mining produces a large set of itemsets. To retrieve compact patterns, maximal high utility itemsets are introduced. An itemset is defined as maximal high utility itemsets, if there is no proper subset of this itemsets are high utility itemsets. The main objective of this work is to retrieve maximal high utility itemsets from a transaction database using UP Growth algorithm. This work uses UP Growth algorithm approach to store utility information of itemsets. From the resultant high utility itemsets, it retrieves only the maximal high utility itemsets. A Chess dataset is used for performance analysis of the algorithm. An experimental result discusses the performance factors like execution time, Memory space and number of maximal high utility items retrieved by the algorithm.
In vitro Dissolution Studies of Different Brands of Sustained Release Metformin Hydrochloride Matrix Solid Dosage Forms Available in the Pharmaceutical Market of Bangladesh

This study was designed to investigate the in vitro dissolution profile of ten brands of Metformin hydrochloride sustained release matrix tablet that are commercially available in the pharmaceutical market in Bangladesh in order to evaluate the quality standard of the available marketed product. The study was carried out on the ten brands of Metformin hydrochloride matrix tablets using dissolution test-1 method apparatus -2 (paddle) at 100 rpm in 1000 ml simulated intestinal medium (pH 6.8 ± 0.1) for 10 hours time period according to the guideline of United States Pharmacopeia (USP). In this study, all the brands except two brands (Code: MH-5 and MH-8) complied with the USP in vitro dissolution specification of 85% drug release at 10th hour in simulated intestinal medium. Drug release of 81.6 % and 79.7 % were showed by the brand code of MH-5 and MH-6 respectively within the specified time period which did not meet the terms of the USP guideline. To reveal the release kinetics of sustained release tablets of Metformin hydrochloride, release profiles were analyzed for zero order, first order and Higuchi equation and found that first order and Higuchi model showed high linearity with correlation coefficient (r2) value of 0.98 or more. In conclusion, our results indicated that all the brands of Metformin hydrochloride sustained release matrix tablets included in this study apart from MH-5, MH-8 showed high dissolution profile and hence good bioavailability.
Impacts of Impervious Surfaces on the Environment

Anthropogenic surfaces that prevent the infiltration of water into the underlying soil such as buildings and paved surfaces (asphalt, concrete), roads, parking lots are called impervious surfaces. Increasing urbanization and pressure of population stimulates the growth of impervious surfaces in the cities. Tremendous increase in impervious surfaces has far reaching effects on the landscape and environment of the region. Impacts of impervious surfaces on climate and hydrology are reviewed here. This review suggests that increasing impervious surfaces strongly alters the hydrology by reducing infiltration and increasing surface run-off. It increases the Land Surface Temperature (LST) by creating Urban Heat Islands (UHI).
The impact of immediate and delayed error correction on Iranian EFL learner’s self-efficacy

This research investigated the effect of immediate and delayed error correction on self-efficacy of EFL learners to accept or reject the research hypothesis that, there is not any significant difference between three group of immediate correction, delayed correction and control group. This article was done on three groups with the population of 90 learners. The errors which were made by three groups of delayed correction, immediate correction, and control group were corrected in three different ways: with delay, immediately and with no special method, respectively. A self-efficacy questionnaire and a language test were given to three groups in the first session and the last session of the term to see the effect of different kinds of error correction. The data of pre-test and post-test were analyzed using SPSS and one way ANOVA was used. The results provided evidence for accepting the hypothesis and there was no difference between three groups in terms of self-efficacy.
Multiple Clustering Views for Data Analysis

Many clustering algorithms provide single clustering solution which is not sufficient for the analysis of the data. Complex data can be represented in many different ways. In general, the clustering of high dimension data is a hard problem. The different views of the data and the use of relationship between these views are useful to solve the problem of clustering. For this purpose a survey is done that finds the multiple alternative clustering views which will be helpful for the purpose of exploratory data analysis and provides the multiple meaningful, different or non-redundant alternative clustering solutions.
Virtual Sober Companion-Mood Analysis.

: The rehabilitation of drug addicts involves a phase of sober companionship where a person who has had a history with the drug but has maintained abstinence for more than three years is asked to accompany the recovering addict during all chores and tasks. The aim is to provide a cheaper alternative to human sober companions by introducing a virtual counterpart. Of the many facets to this application building and patient recovery project, Mood Analysis is the main module that is to be well understood and studied before any step towards making the application. The paper provides a review of all available works related to this domain.
Genome-wide Comprehensive Analysis and Abiotic Stress Responsive Expression Profiles of MCM Gene Family in Wheat

DNA replication is essential for development, growth and proliferation of living cells in plants, animals and other eukaryotes (Sanchez et al., 2012). In eukaryote genome, multiple chromosomes are present and replication of DNA initiates at a very large number of origins to make sure that entire genome replicated. In order to maintain the stability and integrity of genome and, the process of replication should be strictly regulated to ensure that in S phase of single cell cycle, replication of DNA is completely and accurately taken place only once (Tuteja et al., 2011). For International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Special Issue-7 pp. 940-952 Journal homepage: http://www.ijcmas. com
Texture Analysis of Liver Tumor from Abdominal Computed Tomography in Computer Aided Diagnostic System

This paper proposes an automatic computer aided diagnostic system (CAD) for detection of liver diseases like hepatoma and hemangioma from Abdominal Computed tomography (CT) images. Liver and Lesion is segmented using gray level methods and clustering. Histogram analyzer is used to fix the threshold and morphological operation is used for post processing. Rules are applied to remove the obstacles. Fuzzy c-mean (FCM) clustering is used to extract the lesion from the segmented liver. First order statistical features, co-occurrence matrix based texture features, auto covariance features and Zernike moments are extracted from the segmented lesion. The sequential backward selection is applied to get the reduced feature set. The textual information obtained after feature reduction is used to train various neural networks such as a Probabilistic Neural Network (PNN) and Cascade feed forward BPN (CFBPN). The outcome obtained from neural networks is analyzed.
Experimental Analysis of Modified hill cipher to perform encryption and decryption for invertible and noninvertible matrices

The Hill Cipher is the most common and efficient cryptography technique that is used for the purpose of encrypting the content and then sending it over the channel, then than at receivers end the content is decrypted and converted in to original form. Although there are many security mechanisms are available. But there is a continuous need to improve the existing methods. Cryptography is a security mechanism which caters the security services of world in perfect manner. In this paper, the author has studied and performed the experimental analysis of modified hill cipher to perform encryption and decryption for invertible and noninvertible matrices.
Performance Analysis of TCP Variants

The widely used TCP protocol was developed to provide reliable end-to-end delivery of packets under varying degrees of congestion in the network. This paper presents with in-depth study of performance characteristics of different TCP variants viz. Tahoe, Reno, New Reno and Vegas under congestion. We carry out simulations in NS-2 environment on these TCP variants and analyze the results with respect to throughput, packet drop rate and latency to determine if there is an overall efficient TCP variant. We also study the performance of Reno and SACK for different queuing algorithms viz. Droptail and RED.
Antagonistic characterization of marine microalgae surface associated bacterium Staphylococcus albus SBU1 against selected human pathogens

Surface associated marine bacteria often produce secondary metabolites with antagonistic activities. We have isolated surface associated antagonistic bacteria from marine microalgae Tetraselmis suecica (Kylin). The antagonistic activity was screened against selected human pathogens. The potential isolate was identified as Staphylococcus albus SBU1. The antagonistic capability was evaluated at different physico-chemical parameters. Among the pathogens tested, highest antibacterial activity of 13 mm was noticed against Salmonella sp and 12 mm against Bacillus subtilis when the isolate incubated at 35 o C at the pH of 7 respectively. Column chromatography technique was adopted to purify the ethyl acetate crude extract. Each fraction was subjected to perform thin layer chromatography to calculate the retention factors (Rf) and to check the purity. The Rf value of fraction 1 and 2 were 0.65 and 61 respectively. All the fractions were adapted for to antibacterial tendency against test pathogens. A total of five fractions were analyzed, amusingly fraction 1 showed maximum activity (10 ± 0.70 mm) against Streptococcus pyogens. The current research specify that marine micro algae surface associated bacteria have a wide array of biosynthetic capabilities for the production of novel and unique secondary metabolites to treat infectious diseases.
Likely Underrecognized Mosaicism in Genetic Disease: High Frequency of Mosaic Mutations in ADCY5-Related Dyskinesia (P5.398)

Objective: To investigate the genetic spectrum of adenylate cyclase-5 (ADCY5)-related dyskinesia and phenotype-genotype relationship and effect of mosaicism Background: We recently identified mutations in ADCY5 as the cause of an autosomal dominant movement disorder with various forms of dyskinesia. To date, four mutations in six unrelated families have been published. Methods: A patient panel with choreiform/dystonic dyskinesia was examined for ADCY5 mutations by exome sequencing, Sanger sequencing of ADCY5 or molecular inversion probe (MIP) capture and sequencing. Mosaicism was identified or confirmed by allele-specific PCR amplification. Clinical features were evaluated in these patients. The genotype-phenotype correlation, with particular attention to mosaicism will be discussed. Results: Six missense mutations and one in-frame insertion were found in 21 unrelated families and sporadic cases, including recurrent mutations 418Q and 418W in 15 cases. Mosaicism was detected in six sporadic cases and two progenitors in familiar cases. In general, the patients with mosaicism display milder phenotypes and remain ambulant. Most exhibit paroxysmal episodes. In one progenitor, the childhood onset episodic chorea almost disappeared in adulthood. To detect mosaicism, careful review of the chromatograph in Sanger sequencing revealed five cases. MIPs detected one that was missed by sanger sequencing, however it failed detection in three cases. Allele-specific PCR confirmed all mosaicism and identified two cases that were missed by other methods. Buccal mucosa or skin biopsy were obtained in two patients and mosaicism was detected in all examined tissues. Conclusions: Mutations in ADCY5 cause a wide range of movement disorders with childhood onset and slow progression of dystonia, chorea, myoclonus, hypotonia and tremor, paroxysmal in some cases. Mosaicism contributes to the phenotypic variability. Low levels and/or tissue-limited mosaicism will be challenging for clinical diagnosis. We suggest that mosaicism may be a frequent mechanism in sporadic cases of inherited diseases. Disclosure: Dr. Chen has received license fee payments from Athena Diagnostics. Dr. Friedman has nothing to disclose. Dr. Meneret has nothing to disclose. Dr. Bonkowski has nothing to disclose. Dr. Hisama has received personal compensation for activities with Familion, Inc, and with the University of Washington for her lectures on cardiac genetics. Dr. Davis has nothing to disclose. Dr. Swanson has nothing to disclose. Dr. Bernes has nothing to disclose. Dr. Vidailhet has nothing to disclose. Dr. Roze has nothing to disclose. Dr. Bird has received licensing fees payments from Athena Diagnostics Inc. Dr Wendy Raskind received licensing fees from Athena Diagnostics.
Can Interactive Dual Fields of Information Explain the Prevalent Phenomena

The occurrence of prevalent phenomena is an almost unclear but interesting subject for us. Here we have constructed a dual model of information fields originated from the news media and showed that the quasi-cyclic appearance of prevalence can be explained by such a model. The homogeneous field of information around us was assumed, which is composed of the real field originated from the primary media such as newspapers and the television, and the cyber field from the PC and smart phones. The latter field is of the SNS cyber world affected by the field of real world. The public was assumed to be influenced simultaneously by these two types of fields to result in the enhancement of the awareness of some specific things. To investigate the viability of such a dual model, inputting the data of the real field regarding the global warming (GW) already reported in Japan as an external variable, the feature was derived in what manner the public awareness of GW had varied during the past ~35 years. The high public awareness was found to be realized at around 2009 when the information environment was explosively enhanced in the real world. Such enhancement of the awareness could be explained by the contribution from the cyber field, which was brought by the instability of the field, or a burst, induced by a small perturbation from the real field. A possibility was pointed out that the spontaneous occurrence of quasi-cyclic instability such as the case of our explosive awareness could take place in the interactive dual system of information between the real and cyber fields. We pointed out that the spontaneous occurrence of prevalence in general could be explained also by the similar mechanism as ours.
ON LINE FAULT DIAGNOSIS OF AIR COMPRESSOR USING ADAPTIVE NEURO FUZZY INFERENCE SYSTEM

-- This paper presents a study of the use of hybrid intelligent system in detection of vibration faults in Air Compressor. It enables predictive maintenance. The performance of this technique is investigated through experimental study of real online vibration signals. The results demonstrate that complexity analysis and velocity parameters in conjunction with ANFIS provide an effective measure for machinery health evaluation
Image Media Diversity in a Security Survival for Digital Image Sharing Schemes

-The previous technique of sharing the digital image i.e. Visual Secret (VSS)suffers from a transmission risk problem while sharing. To reduce such a problem, this paper gives the solution for solving it. The natural-image-based VSS scheme (NVSS scheme) is the proposed technique used to reduce the transmission risk problem and also to protect the participant while sharing the digital image. In NVSS scheme, one digital image, n-natural images and one carrier image are needed. The natural images(or natural shares) can be digital image and printed image.As the value of n increases, the NVSS scheme usesonly one noise share for sharing the secret image.With the help of extracted features, secret image will be encrypted where process carried by (n-1) natural shares. This encrypted result will be hided by using the QR code. The recovering of the secret image at the receiver will be done by the Share Extraction Algorithm or decryption process.The transmission risk is reduced by transmitting the natural images usingdiverse media.
In Vitro Maturation of Oocytes: Current Status and Controversies

Volume 4 • Issue 2 • 1000e124 JFIV Reprod Med Genet ISSN: 2375-4508 JFIV, an open access journal In vitro oocyte maturation (IVM) has carved a niche for itself in assisted reproductive technology (ART). In 1991, Cha et al. [1] reported the first collection of immature oocytes, which were matured in vitro and resulted in a live birth. Since then, IVM protocols have developed ranging from IVM without hormonal priming, to several modalities of gonadotropin primed IVM, including human chorionic gonadotropin (hCG) triggering. In polycystic ovary syndrome (PCOS) patients, there might be a benefit in administering hCG prior to oocyte retrieval [2]. Our prospective study showed improved implantation (9.6% vs 1.5%) and clinical pregnancy rates (29.9% vs 4%) after hCG priming when compared with regular cycling patients [3]. Then, we sought whether higher doses of hCG would improve metaphase-II (MII) oocyte yield by an RCT whereby patients were randomized to receive the usual 10000 IU or a higher dose of 20000 IU. The maturation, fertilization, pregnancy or implantation rates (IRs) were found to be comparable which supports the notion that there is no benefit to use the higher dose in IVM [4]. Additionally, Fadini et al. [5] reported that the combination of hCG and FSH priming, in women with regular cycles, might be superior to IVM cycles without priming. The number of mature oocytes at retrieval (20.3% vs 0%), MII oocytes after 30h culture (77.4% vs 48.4%), IRs (16.4% vs 9.2%), and clinical pregnancy rates (29.9% vs 15.3%) were found to be statistically higher with FSH priming plus hCG when compared to no priming [5]. These findings suggest that FSH and hCG might work in concert to affect oocyte maturation and fertilization potential.