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The lubricants mostly used in industry have non-Newtonian properties and adhere to a variety of constitutive connections. The power law lubricant, which follows the Ostwald model and is widely used in engineering lubrication, is one of them. In this study the flow analysis of nanofluid in the vicinity of a stagnation point over a lubricated stretching surface has been investigated. The lubrication is provided by a thin layer of variable thickness of power-law fluid. Impact of thermophoresis and Brownian motion is also investigated. To acquire the dimensionless governing equations utilized an appropriate transformation. A newly developed powerful numerical procedure known as Legendre wavelet spectral collocation method (LWSCM) has been employed to acquire the similar solution. A comparison in the special cases between the published and present results substantiate the obtained solutions. Addition of the lubrication enhances the fluid velocity and reduces the temperature of the nanofluid at the stretchable surface.

Selecting the perfect area of specialization can be a vital step when one is pursuing a degree of BS or M.Phil. in English. This seems what an individual must aim to follow to assist them to get ahead in their professional life and career. One can regard it as a game changer or an important decision that a student needs to consider and it is at times difficult to identify as to which specific area best suits the needs and interests of a given learner. Students of BS and M.Phil. levels in English are perplexed either to opt for Linguistics or Literature as their area of specialization. In this regard, adequate and timely career planning/counseling is highly significant and is needed on an emergent basis to overcome the prevailing ambiguity among the students. Lack of career counseling is leading to numerous problems. The primary objective of this study has been to identify and highlight the lack of awareness among our students about their decision-making and career selection, which in turn possibly leads to numerous problems for the students in their career prospects. The studys respondents include the BS, M.Phil. English students from the Okara district of Pakistan’s Punjab. This study uses the quantitative paradigm with survey research being its research design. Data has been gathered through a Close-ended questionnaire. The sample from study respondents from an Okara-based university has been derived based on Convenience sampling. Data collected from the population was analyzed via Microsoft Excel and represented in bar diagrams. There must be courses of at least 2 or 3 credit hours on career selection and decision-making in our BS-level curriculum to combat the currentscenario of poor planning and decision-making in terms of career selection.

Degenerative lumbar disc disease is a condition in which an intervertebral disk and surrounding spinal components are weakened. This might be due to age or a pathogenic cause. Individuals may complain of low back pain. Objective: To determine the pattern of lumbar spine and disc degenerative diseases amongst patients having or not having Low Back Pain with or without radiculopathy diagnosed on Magnetic Resonance Imaging. Methods: Data was collected following inclusion criteria using convenient sampling technique. A total of 266 Patients undergone Lumber MRI scans on MRI Machine 1.5T Phillips. Data was collected from Radiology Department of Tertiary Care Hospital in Lahore, Pakistan. Data was entered and analyzed on SPSS version 20. Age Groups, Gender frequencies were mentioned. Cross Tabulation of Lumber Disc Degenerative Diseases with age and Gender was done and Chi square was applied. P-value ≤0.05 was considered significant. Results: The most prevalent age group for disc degeneration was 40-59 having 56.8 %. Females with disc degeneration have the highest frequency of 143 (53.8%) while males were 123 (48.2%). Lumber Disc degeneration was 101 (38%), Disc Herniation 54 (20.3%), and last with lowest presence of Spinal Canal Stenosis 18 (6.8%). Patients with Radiculopathy with Low back Pain was 61 (22.93%) and only LBP was the most common between the patients having 205 (77.1%). Cross Tabulation of Age Groups with Lumber Disc Pathologies was Significant having P value 0.05. Conclusion: In conclusion MRI can detect Disc Degeneration, Disc Herniation & Buldges, and Spinal Canal Stenosis & Nerve Root Compression. It can be considered significant and accurate to avoid any other interventional procedures. It is also concluded the LBP is an important factor in Disc Degenerative changes & radiculopathy is less seen.

This research is aimed at identifying the positive impacts of Covid-19 pandemic in relation to the education sector of Pakistan. Generally, individuals have a lot to talk about the devastating effects of the pandemic but this work of research identifies the positive aspects of the Corona virus on the education sector of the country. The data has been gathered from various educational institutions of the province of the Punjab. Population of the study includes both the students as well as the tutors and it has been located as to how the students and their tutors have both become tech-savvy by engaging themselves in online teaching-learning process through different web-based utilities such as Zoom, Google Classroom, WhatsApp, Microsoft Teams, Moodle etc.

Background: The hypertensive disorders affect pregnant women and can create complications for the women in last trimester of pregnancy. To assess the impact of high hypertension, doppler scan is recommended in the third trimester. Objective: Present explores values of PSV, EDV, S/D ratio, RI and PI among normotensive and hypertensive pregnant women during third trimester of pregnancy in Islamabad, Pakistan. Material and Methods: A Cross-sectional study was conducted at PIMS hospital Islamabad with objectives to evaluate doppler indices in fetal umbilical artery among hypertensive pregnant women in the third trimester of pregnancy. Data were collected from 1st February 2022 to 15th May 2022. A total of 93 pregnant women were recruited from already registered at maternal child health care center of PIMS and recommended for doppler indices scan. Toshiba Aplio 300 Ultrasound System was used for the assessment. Data about S/D ratio, RI and PI was analyzed by using IBM SPSS® software platform. Results: Mean Age of pregnant women in our study conducted was 26.722 ± 4.133. Also the mean gestational week for pregnant women was 32.163 ± 2.35. Doppler indices were significantly raised in hypertensive women as compared to normotensive women. Doppler indices i.e. Pulsatility Index (Mean 1.049 ± 0.312 vs 1.360 ± 0.421), Resistivity Index (Mean 0.631 ± 0.114 vs 0.743 ± 0.01), Systolic/Diastolic flow (Mean 2.672 ± 0.512 vs 3.818 ± 0.986) were increased in third trimester of hypertensive women as compared to normotensive patients. Conclusion: In this study, among doppler indices pulsatility index and resistivity index were identified as significant after applying null hypothesis test. Doppler ultrasound should be used to identify vascular resistance and evaluating degree of fetoplacental blood flow in hypertensive pregnant women.

Ba1-xPbxFe12O19 (x = 0.0 to 1.0) was synthesized by a co-precipitation method at room temperature. Parent compounds used were oxides of iron and lead, while barium was used in a carbonated form. Acids and Di-H2O were used as a solute. Na-Alkaline solution with molarity 5 was used for fertilization. Iron to barium ratio was kept 12. Washing played a vital role to minimize the impurities. It also improved the homogeneity. Semi-liquid-type material was obtained after overnight drying in an oven. It was further transformed into powder form which further processed, and pellets were formed for characterizations. These pellets were sintered for 3 h in a box furnace at 965 ± 5 °C. Growth along with its surface and dimensional modifications were analyzed by X-ray diffractometry (XRD) and scanning electron microscopy (SEM). It showed almost 70% phase purity. Lead physical properties like higher mobility, ionic radii (Pb2+ = 1.76 A & Ba = 1.37 A), and occupancy preference were the important reasons for the investigation during heat treatment. Lead doping in R blocks was another big reason for these variations. SEM showed modification in all respect in each successive composition. Frequency-based analysis of whole composition from room temperature to 973 K with a step of 100 has discussed. Frequency precession analyzer was used from 20 Hz to 3 MHz for each sample. Obtained data was used to calculate dielectric constant, dielectric loss and dielectric loss factor, and AC conductivity. Determined parameters were further studied with respect to respective temperatures during whole applied frequency spectrum. The study contains almost different behaviors from each other. Prime factors were heat treatment, impurities, dopant (x), and variation of applied electric field. These behaviors and trends could be useful for today’s modern IT applications and other related electrical and electronic components like capacitors. It could also be useful for high frequency microwave and related network applications.

In order to accelerate the performance of various Natural Language Processing tasks for Roman Urdu, this article for the very first time provides 3 neural word embeddings prepared using most widely used approaches namely Word2vec, FastText, and Glove. The integrity of generated neural word embeddings is evaluated using intrinsic and extrinsic evaluation approaches. Considering the lack of publicly available benchmark datasets, it provides a first-ever Roman Urdu public dataset which consists of 3241 sentiments annotated against positive, negative, and neutral classes. To provide benchmark baseline performance over the presented dataset for Roman Urdu sentiment analysis, we adapt diverse machine learning (Support Vector Machine, Logistic Regression, Naive Bayes), deep learning (convolutional neural network, recurrent neural network), and hybrid deep learning approaches. Performance impact of generated neural word embeddings based representation is compared with other most widely used bag of words based feature representation approaches using diverse machine and deep learning classifiers. In order to improve the performance of Roman Urdu sentiment analysis, it proposes a novel precisely extreme multi-channel hybrid methodology which makes use of convolutional and recurrent neural networks along with pre-trained neural word embeddings. The proposed hybrid approach outperforms adapted machine learning approaches by the significant figure of 9% and deep learning approaches by the figure of 4% in terms of F1-score.

A new approach is adopted to grow cadmium zinc telluride (CdZnTe) thin films using the close spaced sublimation (CSS) technique. The deposition parameters for the growth of cadmium telluride (CdTe) thin films onto the glass substrate were optimized. A zinc telluride (ZnTe) thin film layer was deposited onto already-deposited CdTe thin film to fabricate the CdZnTe (CZT) thin film sample as a ternary compound. Annealing was done after the successful deposition of CZT thin films before further characterization of the CZT thin film samples. The structures of the CZT thin film samples were studied using X-ray diffraction (XRD) and cubic phases were found. A spectrophotometer was used to study the optical parameters, and the energy band gap was found to be in the range of 1.45 eV to 1.75 eV after annealing. The nature of the direct band gap predicts that it might be an ideal component in second-generation solar cells. A Hall measurement system was used to find that the electrical conductivity was in the range of 4.6 × 10

Thin films of lead sulfide (PbS) are being extensively used for the fabrication of optoelectronic devices for commercial and military applications. In the present work, PbS films were fabricated onto a soda lime glass substrate by using an electron beam (e-beam) evaporation technique at a substrate temperature of 300 °C. Samples were annealed in an open atmosphere at a temperature range of 200–450 °C for 2 h. The deposited films were characterized for structural, optical, and electrical properties. Structural properties of PbS have been studied by X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), energy dispersive spectroscopy (EDS), and Rutherford backscattering spectrometry (RBS). The results of XRD showed that the PbS thin film was crystalline in nature at room temperature with cubic crystal structure (galena) and preferential (111) and orientation (022). The morphology of the thin films was studied by FESEM, which also showed uniform and continuous deposition without any peel-off and patches. EDS analysis was performed to confirm the presence of lead and sulfur in as-deposited and annealed films. The thickness of the PbS film was found to be 172 nm, which is slightly greater than the intended thickness of 150 nm, determined by RBS. Ultraviolet-Visible-Near-Infrared (UV-Vis-NIR) spectroscopy revealed the maximum transmittance of ~25% for as-deposited films, with an increase of 74% in annealed films. The band gap of PbS was found in the range of 2.12–2.78 eV for as-deposited and annealed films. Hall measurement confirmed the carriers are p-type in nature. Carrier concentration, mobility of the carriers, conductivity, and sheet resistance are directly determined by Hall-effect measurement. The as-deposited sample showed a conductivity of 5.45 × 10−4 S/m, which gradually reduced to 1.21 × 10−5 S/m due to the composite nature of films (lead sulfide along with lead oxide). Furthermore, the present work also reflects the control of properties by controlling the amount of PbO present in the PbS films which are suitable for various applications (such as IR sensors).