Effect of Child Abuse on Child’s Health and Development

Child abuse is a social evil that cast disasters effects on mental and social development of children. In this study a quantitative approach is used to investigate the effect of child abuse on child health and mental development. In most of case child abuse is reported by the teachers and teachers have direct link with evils of child abuse and their causes. Research questionnaires were developed for random sampling and collection of data including emotional abuse, sexual abuse and physical abuse.  The proceeding and analyzing of data is made through statistical approach using frequency analysis, co-relation and t- test etc. After analyzing the data it is found through reporting of teacher that most of children are sexually abuse out of their houses at night by strangers, which shows poor social development. It is also found that teachers are qualified and well aware about child abuse through series of experience

Peripheral Neuropathy among Patients with Diabetes Mellitus: Use of Douleur Neuropathic Questionnaire

Objective: To find out the prevalence of diabetic peripheral neuropathy in patients with diabetes mellitus. Methodology: It was an observational study conducted on a sample of 150 subjects who were enrolled by a convenient random sampling technique. Patients with a history of diabetes for more than 5 years and of 30-85 years of age from both genders were included. Patients with a history of surgery, frozen shoulder psychological issues, and kidney problems were excluded. Data were collected from Allama Iqbal Memorial Hospital & Islam Central hospital, Sialkot using Douleur neuropathic DN 4 questionnaire, and questions about age, lifestyle, glucose level, hypoesthesia, and gender were added. Data were analyzed by SPSS 20. Results: Out of 150 patients with DM, 49 were males and 101 were females. Active lifestyle was found in 53.33% and 46.67% were physically inactive. Higher glucose levels were found in 53.33% of males and 46.67% of females. In 38 (25.3%) individual's upper limb was involved and in 112 (74.7%) lower limb was involved. Out of 150 subjects, 138 (92%) had a score above 4.0 and thus had peripheral neuropathy. A positive correlation between lifestyle and peripheral neuropathy was found by applying Pearson chi-square and the p-value was 0.000

Feasibility study for the surface prediction and mapping of phytonutrients in minimally processed rocket leaves (Diplotaxis tenuifolia) during storage by hyperspectral imaging

A comprehensive study of the feasibility of hyperspectral imaging in visible (400–1000 nm) and near infrared (900–1700 nm) regions was investigated for prediction and concentration mapping of Vitamin C, ascorbic acid (AA), dehydroascorbic acid (DHAA) and phenols in wild rocket (Diplotaxis tenuifolia) over a storage span of 12 days at 5 °C. Partial least squares regression (PLSR) with different data pretreatments and wavelength selection resulted in satisfactory predictions for all parameters in the NIR range except DHAA. Prediction models were used for concentration mapping to follow changes over time. The prediction maps will be comprehensively study to assess the pixel to pixel variation within the rocket leaves. The PLSR models for Vitamin C, AA and phenols yielded an R2 of 0.76, 0.73 and 0.78, respectively in external prediction with root mean square errors approximately equivalent to those of reference analysis. Conclusively, hyperspectral imaging, with the correct mapping approach, can be a useful tool for the prediction and mapping of phytonutrients in wild rocket (Diplotaxis tenuifolia) over time

Using chemometrics to characterise and unravel the near infra-red spectral changes induced in aubergine fruit by chilling injury as influenced by storage time and temperature

The early non-destructive detection of chilling injury (CI) in aubergine fruit was investigated using spectroscopy. CI is a physiological disorder that occurs when the fruit is subjected to temperatures lower than 12 °C. Reference measurements of CI were acquired by visual appearance analysis, measuring electrolyte leakage (EL), mass loss and firmness evaluations which demonstrated that even before three days of storage at 2 °C, the CI process was initiated. An ANOVA-simultaneous component analysis (ASCA) was used to investigate the effect of temperature and storage time on the Fourier transform – near infra-red (FT-NIR) spectral fingerprints. The ASCA model demonstrated that temperature, duration of storage, and their interaction had a significant effect on the spectra. In addition, it was possible to highlight the main variations in the experimental results with reference to the effects of the main factors, and with respect to storage time, to discover any major monotonic trends with time. Partial least squares-discriminant analysis (PLS-DA) was used as a supervised classification method to discriminate between fruit based on chilling and safe temperatures. In this case, only significant spectral wavebands which were significantly influenced by the effect of temperature based on ASCA were utilised. PLS-DA prediction accuracy was 87.4 ± 2.7% as estimated by a repeated double-cross-validation procedure (50 runs) and the significance of the observed discrimination was verified by means of permutation tests. The outcomes of this study indicate a promising potential for near infra-red spectroscopy (NIRS) to provide non-invasive, rapid and reliable detection of CI in aubergine fruit

Microarray analysis of human leucocyte subsets: the advantages of positive selection and rapid purification.

BACKGROUND: For expression profiling to have a practical impact in the management of immune-related disease it is essential that it can be applied to peripheral blood cells. Early studies have used total peripheral blood mononuclear cells, and as a consequence the majority of the disease-related signatures identified have simply reflected differences in the relative abundance of individual cell types between patients and controls. To identify cell-specific changes in transcription it would be necessary to profile purified leucocyte subsets. RESULTS: We have used sequential rounds of positive selection to isolate CD4 and CD8 T cells, CD19 B cells, CD14 monocytes and CD16 neutrophils for microarray analysis from a single blood sample. We compared gene expression in cells isolated in parallel using either positive or negative selection and demonstrate that there are no significant consistent changes due to positive selection, and that the far inferior results obtained by negative selection are largely due to reduced purity. Finally, we demonstrate that storing cells prior to separation leads to profound changes in expression, predominantly in cells of the myeloid lineage. CONCLUSION: Leukocyte subsets should be prepared for microarray analysis by rapid positive selection.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Zoonotic and Reverse Zoonotic Events of SARS-CoV-2 and their Impact on Global Health

Coronaviruses (CoVs) are enveloped, positive sense, single-stranded RNA viruses. The viruses have adapted to infect a large number of animal species, ranging from bats to camels. At present, seven CoVs infect humans, of which Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is responsible for causing the Coronavirus Disease 2019 (COVID-19) in humans. Since its emergence in late 2019, SARS-CoV-2 has spread rapidly across the globe. Healthcare systems around the globe have been stretched beyond their limits posing new challenges to emergency healthcare services and critical care. The outbreak continues to jeopardize human health, social life and economy. All known human CoVs have zoonotic origins. Recent detection of SARS-CoV-2 in pet, zoo and certain farm animals has highlighted its potential for reverse zoonosis. This scenario is particularly alarming, since these animals could be potential reservoirs for secondary zoonotic infections. In this article, we highlight interspecies SARS-CoV-2 infections and focus on the reverse zoonotic potential of this virus. We also emphasize the importance of potential secondary zoonotic events and the One-Health and One-World approach to tackle such future pandemics