Calcifying fibrous pseudotumor in association with hyaline vascular type castleman\u27s disease.

Calcifying fibrous pseudotumor is a recently described rare entity. It is considered as sclerosing end stage of inflammatory myofibroblastic tumor. An association with hyaline vascular type Castleman\u27s disease has also been described. We report a case of a 13-year-old boy who presented with pain in epigastrium. Computed tomography scan of abdomen revealed a circumscribed mass arising from the gastric wall along the greater curvature. Histology revealed a tumor composed of spindle cells present within the dense hyalinized collagenous tissue. Lymphoplasmacytic infiltrate was seen along with lymphoid follicles, dystrophic and ossifying calcification. Tumor cells were focally positive for alpha smooth muscle actin and negative for anaplastic lymphoma kinase protein

A field study of lead phytoextraction by various scented Pelargonium cultivars

Phytoremediation appears to be a promising technique for metal soil clean up, although its successful application on a large scale still remains a challenge. Field experiments for six scented Pelargonium cultivars, conducted on two Pb-contaminated calcareous and acidic soils, revealed vigorous plant growth, with no symptoms of morpho-phytotoxicity in spite of high Pb accumulation levels. Lead contents in the harvestable parts of all plants grown on the acidic and more contaminated soil were significantly higher than those grown on the calcareous soil. Three cultivars (Attar of Roses, Clorinda and Atomic Snowflake) are Pb-hyperaccumulator plants: they accumulated more than 1000 mg Pb kg1 DW, with high biomass produced

Promoting motivation towards community health care: A qualitative study from nurses in Pakistan

Based on the extensive health care needs of Pakistani population, the idea of Community Health Nursing was introduced in 1985. The educational nursing institutes adopted nursing curriculum in order to produce competent nurses to meet the rising demands of society. However, very few numbers of nurses choose community health nursing as their career pathway in Pakistan. Based on the current observation, enhancing motivation among graduate nurses has always been viewed as a great challenge for the academic nursing institutions. This study was intended to explore motivating and de motivating factors in nurses towards community Health Nursing. By utilizing self concept based model of motivation, semi structured interviews were conducted with newly graduated nurses, nurse educators and nursing students. The findings revealed that certain traits, values and competencies are required to motivate nurses as well as to build their capacity towards working effectively in the community setting. Moreover, through this study several realistic recommendations by the participants are highlighted that could foster motivation among future nurses towards this field

Synthesis, Characterization, Antibacterial, α-Glucosidase Inhibition and Hemolytic Studies on Some New N-(2,3- Dimethylphenyl)benzenesulfonamide Derivatives

Purpose: To synthesize a series of new N-(2,3-dimethylphenyl)benzenesulfonamide derivatives with pharmacological analysis.Methods: N-(2,3-Dimethylphenyl)benzenesulfonamide (3) was synthesized by the reaction between 2,3-dimethylaniline (1) and benzenesulfonyl chloride (2) in aqueous basic medium. Compound 3 was further treated with various alkyl/aralakyl halides (4a-m) to yield new compounds, 5a-m, in a weak basic aprotic polar organic medium. The proposed structures of synthesized compounds were confirmed using proton-nuclear magnetic resonance (1H-NMR), infra red spectroscopy (IR) and electron impact mass spectrometry (EIMS). The synthesized compounds were screened for in vitro antibacterial, antienzymatic and hemolytic activities using standard procedures.Results: All the synthesized compounds showed moderate to high activity against Gram-positive and Gram-negative bacterial strains. The molecules 5g and 5j exhibited good inhibition of α-glucosidase enzyme with half-maximal inhibitory concentration (IC50) of 59.53 ± 0.01 and 55.31 ± 0.01 μmoles/L, respectively, relative to acarbose with IC50 of 38.25 ± 0.12 μmoles/L. All the compounds exhibited cytotoxicity levels ranging from 27.20 ± 0.24 to 5.20 ± 0.41 %, relative to Triton X-100.Conclusion: Compound 5f is the most potent antibacterial while 5j is the best α-glucosidase inhibitor; 5e showed the least cytotoxicity.Keywords: 2,3-Dimethylaniline, Antibacterial activity, Anti-enzymatic activity, α-Glucosidase inhibitor, Hemolytic activity, Sulfonamide

On the Effectiveness of Unit Tests in Test-driven Development

Background: Writing unit tests is one of the primary activities in test-driven development. Yet, the existing reviews report few evidence supporting or refuting the effect of this development approach on test case quality. Lack of ability and skills of developers to produce sufficiently good test cases are also reported as limitations of applying test-driven development in industrial practice. Objective: We investigate the impact of test-driven development on the effectiveness of unit test cases compared to an incremental test last development in an industrial context. Method: We conducted an experiment in an industrial setting with 24 professionals. Professionals followed the two development approaches to implement the tasks. We measure unit test effectiveness in terms of mutation score. We also measure branch and method coverage of test suites to compare our results with the literature. Results: In terms of mutation score, we have found that the test cases written for a test-driven development task have a higher defect detection ability than test cases written for an incremental test-last development task. Subjects wrote test cases that cover more branches on a test-driven development task compared to the other task. However, test cases written for an incremental test-last development task cover more methods than those written for the second task. Conclusion: Our findings are different from previous studies conducted at academic settings. Professionals were able to perform more effective unit testing with test-driven development. Furthermore, we observe that the coverage measure preferred in academic studies reveal different aspects of a development approach. Our results need to be validated in larger industrial contexts.Istanbul Technical University Scientific Research Projects (MGA-2017-40712), and the Academy of Finland (Decision No. 278354)

Smart city-ranking of major Australian cities to achieve a smarter future

© 2020 by the authors. A Smart City is a solution to the problems caused by increasing urbanization. Australia has demonstrated a strong determination for the development of Smart Cities. However, the country has experienced uneven growth in its urban development. The purpose of this study is to compare and identify the smartness of major Australian cities to the level of development in multi-dimensions. Eventually, the research introduces the openings to make cities smarter by identifying the focused priority areas. To ensure comprehensive coverage of all aspects of the smart city's performance, 90 indicators were selected to represent 26 factors and six components. The results of the assessment endorse the impacts of recent government actions taken in different urban areas towards building smarter cities. The research has pointed out the areas of deficiencies for underperforming major cities in Australia. Following the results, appropriate recommendations for Australian cities are provided to improve the city's smartness

Classification of multichannel EEG signal by single layer perceptron learning algorithm

Motor imagery (MI) related Electroencephalogram (EEG) signal classification is one of the main challenge in designing a brain computer interface (BCI) system. Single Layer Perceptron Learning (SLPL) algorithm has a very low computational requirement which makes it suitable for online BCI system. This paper proposes an advanced and simple classification technique for MI related BCI system. Initially the signal is extracted for different features. The SLPL classifier has been used to propose technique to design an MI based BCI. For contrastive comparison with other classification techniques have been evaluated by classification accuracy, mutual information and Cohen’s kappa

Drug overdose: a wake up call! Experience at a tertiary care centre in Karachi, Pakistan

OBJECTIVE: To study the characteristics of patients admitted with drug overdose caused either by accidental overdose of the prescribed medications or as an act of deliberate self harm (DSH) at a tertiary care hospital in Karachi, Pakistan.METHODS: A retrospective case series review was conducted at the Aga Khan University Hospital from January 2002 to October 2006. Three hundred and twenty four adult patients admitted with drug overdose were included in the study.RESULTS: Our sample group revealed mean age of 36.2 +/- 17.0 years, more females (59%), housewives (34%), and students (20%). Fifty six percent of patients committing DSH were married (p = 0.001), 81% needed in-patient psychiatric services (p = 0.016) of whom a significantly high number (38%) refused it. Domestic and social issues were rated highest among DSH group (p = 0.003), depression among females was common (p = 0.028) and Benzodiazepines (41%) was the most frequently used drug (p = 0.021). Sub-group analysis of accidental overdoses revealed mean age of 45.6 +/- 19.6 years, single (75.4%) and males (54.1%). Drugs used were mainly Benzodiazepines (18%) followed by Opioids (11%), Antiepileptics (10%) and Warfarin (10%).CONCLUSION: Our study showed that depressed housewives are at greater risk for DSH. Domestic and social issues were rated highest and Benzodiazepines were the most commonly used agents. Most of our patients refused inpatient psychiatric treatment leading us to believe that general awareness of psychiatric illnesses is imperative in our community. High number of accidental overdoses is alarming in older, single males convincing us to believe that existing pharmacy system needs further evaluation and modification

Classification of multichannel EEG signal by linear discriminant analysis

Motor imagery (MI) related Electroencephalogram (EEG) signal classification is one of the main challenge in designing a brain computer interface (BCI) system. Linear Discriminant Analysis (LDA) has a very low computational requirement which makes it suitable for online BCI system. This paper proposes an advanced and simple classification technique for MI related BCI system. Initially the signal is extracted for different features. The LDA classifier has been used to propose technique to design an MI based BCI. For contrastive comparison other classification techniques have been evaluated by classification accuracy and Cohen's kappa