The Mediating Role of Self-Compassion in the Relationship of Mindfulness with Depressive Symptoms

The Study has been conducted to explore the relationship between mindfulness and depressive symptoms with mediating variable of Self-Compassion. The Objective of this study determines how mindfulness predicts depressive symptoms by taking account of self-compassion. The sample of three hundred and fifty 350 students was taken from Bahudin Zakriya university, Multan (Punjab, Pakistan). The results revealed that mindfulness and self-compassion have significant negative correlation with depressive symptoms. Moreover, self- compassion has strongly predicted depressive symptoms than mindfulness through multiple regression analysis and it has more mediating effect than mindfulness through mediation analysis. t- test and ANOVA shows that statistical difference found on depressive symptoms regarding age and education

Bovine Theileriosis: Prevalence, Estimation of Hematological Profile and Chemotherapy in Cattle in Dera Ismail Khan, Khyber Pakhtunkhwa Province, Pakistan

Theileriosis in cattle is one of the major constraints to the development of livestock enterprise in Pakistan and in most parts of the world. The disease causing agent is transmitted by Ixodid ticks having complicated life cycle. Prominent signs exhibited by cattle are; anorexia, fever, enlarged lymph nodes, occulonasal discharges and diarrhoea. The current study was planned to investigate the prevalence of theileriosis in cattle in and around district Dera Ismail Khan, Khyber Pakhtunkhwa province, Pakistan. For the determination of prevalence of theileriosis, a total of 384 animals, as calculated through statistical method, of different age and sex groups were screened. For detection of Theileria parasite, blood samples were collected from peripheral veins and microscopic examination of Giemsa stained blood smears revealed 14.32% (55/384) prevalence of Theileria parasite in cattle.For hematological investigations, blood samples were collected from jugular veins of 55 affected animals in ethylene diamine tetra acetic acid (EDTA) coated vacutainers and complete blood count (CBC) was estimated through standard procedures. The hematology revealed significant (p<0.05) reduction in the RBCs count, haemoglobin level and packed cell volume i.e. 3.28x106/μL, 5.32 g/dL and 20.98%, respectively. For chemotherapy, positive animals were treated with the combination of buparvaquone @2.5mg/Kg and oxytetracycline @10mg/kg body weight. The efficacy of the treatment was estimated in terms of number of positive animals 5 days post treatment showing 92.72% (51/55) treatment efficacy

A Review of Big Data Trends and Challenges in Healthcare

The healthcare sector produces an enormous amount of complicated data from several sources, such as health monitoring systems, medical devices, and electronic health records. Big data analytics may improve healthcare by enabling more effective decision-making, improving patient outcomes, and reducing costs. To improve the operational efficiency of healthcare organizations, scientific studies must search for the standardization and integration of data analysis equipment and methods. This systematic literature review aims to provide current insights on the topic by analyzing a total of 60 relevant articles published between 2017 and 2023. The review explores the challenges and opportunities in using big data in healthcare, including data security, privacy, data quality, interoperability, and ethical considerations. The article also explores big data analytics' potential uses in healthcare, such as personalized treatment, disease prediction and prevention, and population health management. It provides significant insights for healthcare providers, researchers, and practitioners to make evidence-based decisions, as well as underlines the need for more research in this area to fully realize the promise of big data in healthcare

Physico-chemical, Microbiological Parameters and Adulteration in Processed Dairy Products in Pakistan

Adulteration of dairy products with chemicals such as Caustic soda, Urea, Antibiotics and Microbiological contamination (high Total plate count, Coliform count and S. aureus) in processed dairy products samples constitute a potential public health hazard. A study was carried out to determine the microbiological quality and adulteration in various processed dairy products from various brands prevalent in the market.Samples of different dairy products including: (i) Yogurt, (ii) Cheese, (iii) Butter, (iv) Ice cream and v) Milk powder were collected from various places and processed in the laboratory for physic-chemical, microbiological and adultration analysis was carried out. (i)Yogurt samples from different Brands showed non-significant (P>0.05) difference in Total Plate Count (TPC), Coliform Count (CC) whereas significant (P<0.05) difference was observed in Streptococcus aureus Count (SAC), (ii) Cheese samples showed non-significant (P>0.05) difference in TPC whereas significant (P<0.05) difference was observed in SAC, (iii) Butter samples showed significant (P<0.05) difference in TPC, CC and SAC, (iv) Ice cream samples showed significant (P<0.05) difference in TPC, CC and SAC; and (v) Milk powder from various brands showed non-significant (P>0.05) difference in CC and SAC. All dairy products were negative for chemical adulterants tests i.e. urea, formaldehyde, neutralizers, starch, boric acid, quaternary ammonium compounds, while H2O2 was slightly positive in yogurt, milk powder and Ice cream samples of different brands. It is concluded that the dairy product in the market are safe from adulterants. Further butter and ice cream are showing a significant TPC, CC, and SAC.

Genetic Diversity of Endangered Sheep Breed of Valley Swat, Pakistan, Based on Microsatellite Analysis

Morphologically, Kutta breed is black coat color sheep, with short tail and having thick wool fiber diameter. Weight differences in Kutta sheep exists as animals found in plain areas are slightly heavier and bigger than those found in hilly and remote areas of upper Kalam and Malamjaba of valley Swat with an average body weight of 23.2 ±0.34 kg. Aim of the study is to provide information on the genetic structure of the Kutta breed. A set of 31 FAO recommended microsatellite (SSR) markers was used to access the genetic variability in 21 DNA samples extracted.The breed showed high level of genetic diversity. Out of the total 31 FAO recommended markers, 23 were fully amplified during Polymerase Chain reactions (PCR), having a total of 151 different alleles obtained, with an effective allele of (6.57) per locus. Similarly high level of average heterozygosity (0.77) and gene diversity (0.80) was observed. The within breed estimate (FIS) in breed was found extremely low (0.002). Shannon information Index (I) was found (1.65). The mean Chi-square value for the Hardy Weinberg Equilibrium (0.10) indicates that the population has lost its equilibrium on the overall basis. Majority of the markers were found neutral when test on Evens-Watterson, which suggest that decreases in heterozygosity in the population was not due to selection. Test for mutation drift equilibrium in the population showed that the population had preserved its effective size and has not experienced genetic bottleneck at least in the recent past

Seroepidemiological Analysis of Contagious Caprine Pleuropneumonia through cELISA in Selected Districts of Khyber Pakhtunkhwa-Pakistan

Contagious caprine pleuropneumonia (CCPP) is a fatal disease of goats caused by Mycoplasma capricolum subsp. capripneumoniae (Mccp).This disease has been causing huge economic losses to goat rearing farmers in Khyber Pakhtunkhwa.  Seroepidemiological study of this disease was conducted for the first time in selected districts of Khyber Pakhtunkhwa namely Swat, Peshawar, Kohat and Dera Ismail Khan. Total 384 serum samples were collected randomly from goats having different ages and both sexes showing respiratory signs belonging to flocks with no vaccination history against CCPP. The serum samples were examined for Mccp directed antibodies using monoclonal antibody based cELISA. Out of total 384 samples 15 samples were detected positive on cELISA with 3.91% overall seroprevalence in the selected districts. The highest CCPP seroprevalence was recorded in district Swat (8.33%) followed by district Kohat and D.I Khan (3.13% in each district) and the lowest seroprevalence was observed in district Peshawar (1.04%). Age based CCPP seroprevalence was found highest (6.73%) in the goat kids of age 1 to 180 days followed by the (3.85%) young goat of 181 to 365 days while the lowest was found in the adult goats (2%) with age more than one year.Sex based seroprevalence was found more in female goats (4.01%) as compare to male goats (3.33%). This study determined the load of CCPP using highly specific monoclonal antibody based cELISA kit in the selected districts of Khyber Pakhtunkhwa for the first time. Further study on CCPP is needed with increased sample size, that cover wider region of Khyber Pakhtunkhwa as necessary for limiting this disease through effective control measures.

Smart classroom monitoring using novel real-time facial expression recognition system

Featured Application: The proposed automatic emotion recognition system has been deployed in the classroom environment (education) but it can be used anywhere to monitor the emotions of humans, i.e., health, banking, industries, social welfare etc. Abstract: Emotions play a vital role in education. Technological advancement in computer vision using deep learning models has improved automatic emotion recognition. In this study, a real-time automatic emotion recognition system is developed incorporating novel salient facial features for classroom assessment using a deep learning model. The proposed novel facial features for each emotion are initially detected using HOG for face recognition, and automatic emotion recognition is then performed by training a convolutional neural network (CNN) that takes real-time input from a camera deployed in the classroom. The proposed emotion recognition system will analyze the facial expressions of each student during learning. The selected emotional states are happiness, sadness, and fear along with the cognitive–emotional states of satisfaction, dissatisfaction, and concentration. The selected emotional states are tested against selected variables gender, department, lecture time, seating positions, and the difficulty of a subject. The proposed system contributes to improve classroom learning.Web of Science1223art. no. 1213

Mechanisms of base selection by human single-stranded selective monofunctional uracil-DNA glycosylase

hSMUG1 (human single-stranded selective monofunctional uracil-DNA glyscosylase) is one of three glycosylases encoded within a small region of human chromosome 12. Those three glycosylases, UNG (uracil-DNA glycosylase), TDG (thymine-DNA glyscosylase), and hSMUG1, have in common the capacity to remove uracil from DNA. However, these glycosylases also repair other lesions and have distinct substrate preferences, indicating that they have potentially redundant but not overlapping physiological roles. The mechanisms by which these glycosylases locate and selectively remove target lesions are not well understood. In addition to uracil, hSMUG1 has been shown to remove some oxidized pyrimidines, suggesting a role in the repair of DNA oxidation damage. In this paper, we describe experiments in which a series of oligonucleotides containing purine and pyrimidine analogs have been used to probe mechanisms by which hSMUG1 distinguishes potential substrates. Our results indicate that the preference of hSMUG1 for mispaired uracil over uracil paired with adenine is best explained by the reduced stability of a duplex containing a mispair, consistent with previous reports with Escherichia coli mispaired uracil-DNA glycosylase. We have also extended the substrate range of hSMUG1 to include 5-carboxyuracil, the last in the series of damage products from thymine methyl group oxidation. The properties used by hSMUG1 to select damaged pyrimidines include the size and free energy of solvation of the 5-substituent but not electronic inductive properties. The observed distinct mechanisms of base selection demonstrated for members of the uracil glycosylase family help explain how considerable diversity in chemical lesion repair can be achieved

Time Series Analysis and Forecasting of Air Pollutants Based on Prophet Forecasting Model in Jiangsu Province, China

Due to recent developments in the global economy, transportation, and industrialization, air pollution is one of main environmental issues in the 21st century. The current study aimed to predict both short-term and long-term air pollution in Jiangsu Province, China, based on the Prophet forecasting model (PFM). We collected data from 72 air quality monitoring stations to forecast six air pollutants: PM10, PM2.5, SO2, NO2, CO, and O3. To determine the accuracy of the model and to compare its results with predicted and actual values, we used the correlation coefficient (R), mean squared error (MSE), root mean squared error (RMSE), and mean absolute error (MAE). The results show that PFM predicted PM10 and PM2.5 with R values of 0.40 and 0.52, RMSE values of 16.37 and 12.07 μg/m3, and MAE values of 11.74 and 8.22 μg/m3, respectively. Among other pollutants, PFM also predicted SO2, NO2, CO, and O3 with R values are between 5 μg/m3 to 12 μg/m3; and MAE values between 2 μg/m3 to 11 μg/m3. PFM has extensive power to accurately predict the concentrations of air pollutants and can be used to forecast air pollution in other regions. The results of this research will be helpful for local authorities and policymakers to control air pollution and plan accordingly in upcoming years