Impact of Fashion Consciousness on Hijabistas’ Buying Behavior

The basic purpose of this research is to establish a methodology for studying and understanding contributing factors towards fashion consciousness and its impact on hijab buying behavior of hijabistas present in Universities of Lahore. This population was represented by 100 respondents taken from top five universities of Lahore. These respondents were asked to fill a questionnaire and return. The data collected was statistically analyzed by using Pearson’s correlation technique and linear regression analysis which supported the hypotheses and generated evidence in favor of the hypotheses. It is clearly evident from the results that way of dressing, sources of fashion information, fashion motivation and uniqueness of fashion are the determinants of fashion consciousness of hijabistas. Fashion consciousness positively impacts hijabistas hijab buying behavior as evident by the significance of the impact. Keywords: Fashion Consciousness, Hijab Fashion Consumption, Fashion Uniqueness, Dressing Style, Motivation

Impact of caregiving on various aspects of the lives of caregivers

Objective: This study was designed to assess the impact of caregiving on the lives of the caregivers. Methods: A cross-sectional study was conducted between July and September 2015 at a teaching hospital in Karachi, Pakistan. Participants who were more than 18 years old and were involved in caregiving (former or current) of a family member were invited to participate in the study. The participants were recruited through consecutive sampling technique. A total of 400 caregivers were interviewed. Written informed consent was obtained from all the participants. A pretest structured questionnaire was used for data collection and included sections on demographic details and impact of caregiving on various aspects of the lives of caregivers. The data was analyzed using SPSS version 19 (IBM, NY, USA). Results: Information about a total of 400 caregivers (215 men and 185 women) was included in the final analysis. The majority (57.0%) of the participants were aged between 18 and 30 years. About three-fifths (60%) of the participants were single and the majority of the participants were students. Approximately 64% of the participants were currently involved in caregiving and about 48% of the participants responded that caregiving has an overall negative impact on various aspects, such as physical (40.8%), psychological (47.8%), and professional aspects(51.8%) of their lives. Conclusion: Negative impact of caregiving was observed among caregivers due to extensive demands of caregiving and limited resources. Therefore, it is imperative for health care providers to explore, identify and support caregivers to cope in a better way to the challenging task of caregiving

Pharmacological Threat to Lungs: A Case Series and Literature Review

Drug-induced organ damage stands as a prevalent yet much-neglected issue globally. Keeping in view it\u27s rising frequency, health care providers stand obliged to be well versed with the de-merits of the agents they prescribe. Drug therapies causing damage present with a non-specific clinical presentation, histological findings or radiology, which further elaborates on the necessity of a conscientious diagnosis. Pulmonary architecture ranging from the airways, lung parenchyma, mediastinum, pleura, pulmonary vasculature or the neuromuscular system, all can fall victim to the dreaded outcomes of this menace. In order to establish successful diagnosis, the definite temporal relation between initiation of drug therapy and the development of the respiratory symptoms needs to be drawn. The most common form of pharmacologically arising lung toxicity is drug-induced pneumonitis or interstitial lung disease. Unfortunately, there is no adequate data available to review the extensiveness of this medication-associated risk in Pakistan which further highlights the necessity of carefully monitoring this overlooked yet assessable malady. Furthermore, identification and surveillance of this drug attributed peril shall help diminish burden on healthcare resources of the country. We present three recent cases of different types of drug-induced lung damage under treatment at our University Hospital

Atypical involvement of central nervous system in classic Hodgkin lymphoma: A case report

Background: Hodgkin lymphoma is a systemic disease that commonly involves the cervical, supraclavicular, and mediastinal lymph nodes. The involvement of central nervous system in Hodgkin lymphoma is extremely rare, and diagnosis is usually established using distinct morphological and immunohistochemical staining on the tissue biopsied. Extranodal presentation of HL is a rare occurrence. It has been evident that prognosis is encouraging in patients with disease that is limited to just central nervous system initially or as relapse, compared with involvement of multiple sites of relapse.Case presentation: We herein report a case of a 35-year-old South-East Asian male with relapsed Hodgkin lymphoma. The patient developed a parotid gland lesion, cervical lymphadenopathy with significant weight loss, and intermittent night sweats. Along with spread to the central nervous system, there was a high suspicion of tuberculosis. Upon biopsy of his cervical lymph node, the patient was confirmed to have Hodgkin lymphoma. Immediate treatment began with six cycles of chemotherapy consisting of adriamycin, bleomycin, vinblastine, and dacarbazine. The patient received three cycles of chemotherapy consisting of ifosfamide, carboplatin, and etoposide but then was lost to follow-up. Five years later, the patient suffered a road traffic accident. Upon work-up, a right parietal space-occupying lesion with moderate cerebral edema and midline shift was found on computed tomography of the brain. The patient underwent resection of the space-occupying lesion of brain, with features consistent with classical Hodgkin lymphoma on histopathology examination. It is crucial for such lesions to be investigated meticulously to rule out any secondary disease process.Conclusion: Relapsed Hodgkin lymphoma with central nervous system involvement is relatively rare with just over two dozen cases reported to date and is observed infrequently in developing nations. Therefore, space-occupying lesion should always be investigated, and biopsy of such lesions is gold standard to establish diagnosis. With timely appropriate therapy, complete remission can be achieved. However, large-scale studies would be prudent to explore the presentation, survival, and treatment options for patients with Hodgkin lymphoma involving the central nervous system

Successful resection of lymphangioma of the neck and mediastinum presenting as stridor in a 12 year old child

Lymphangiomas are congenital malformations of lymphatic tissue. This benign condition is generally found in the neck region and is discovered by 2 years of age. Here we report the case of a 12 year old child who presented with a cervical and mediastinal cystic hygroma that had progressed to such a space occupying nature as to cause the shifting of the trachea. The entire mass was successfully resected with a lower neck incision. Our case suggests the necessity of considering cystic lymphangioma in the differential diagnosis of lateral neck masses and use of adequate imaging to substantiate the preoperative diagnosis

Knowledge about asthma: A cross-sectional survey in 4 major hospitals of Karachi, Pakistan

Objective: To determine knowledge and misconceptions about asthma among the local population..Methods: This cross-sectional study was conducted at four tertiary care hospitals; Aga Khan University Hospital, Civil Hospital Karachi, Jinnah Postgraduate Medical Centre and Ojha Institute of Chest Diseases, Karachi, from October to November 2016, and comprised hospital attendants. The questionnaire used in the study comprised 26 questions answered with a true, false or not sure answer.SPSS 20 was used for data analysis.Results: There were 400 participants. The overall mean age was 41.2±14.2 years, and 214(53.5%) of the participants were males. Moreover, 75(19%) participants thought that asthma was a psychological disorder while 181(45%) considered it an infectious disease. Nearly 174(43.5%) believed that inhaled medications had significant side effects. Besides, 264(66%) participants considered steam inhalation to be an effective treatment for asthma, 269(67%) thought that patients with asthma should avoid rice in their diet and 167(42%) considered milk as a common trigger.CONCLUSIONS: Participants\u27 knowledge about asthma was poor and misconceptions were common about the condition

Deep learning for plant bioinformatics: an explainable gradient-based approach for disease detection

Emerging in the realm of bioinformatics, plant bioinformatics integrates computational and statistical methods to study plant genomes, transcriptomes, and proteomes. With the introduction of high-throughput sequencing technologies and other omics data, the demand for automated methods to analyze and interpret these data has increased. We propose a novel explainable gradient-based approach EG-CNN model for both omics data and hyperspectral images to predict the type of attack on plants in this study. We gathered gene expression, metabolite, and hyperspectral image data from plants afflicted with four prevalent diseases: powdery mildew, rust, leaf spot, and blight. Our proposed EG-CNN model employs a combination of these omics data to learn crucial plant disease detection characteristics. We trained our model with multiple hyperparameters, such as the learning rate, number of hidden layers, and dropout rate, and attained a test set accuracy of 95.5%. We also conducted a sensitivity analysis to determine the model’s resistance to hyperparameter variations. Our analysis revealed that our model exhibited a notable degree of resilience in the face of these variations, resulting in only marginal changes in performance. Furthermore, we conducted a comparative examination of the time efficiency of our EG-CNN model in relation to baseline models, including SVM, Random Forest, and Logistic Regression. Although our model necessitates additional time for training and validation due to its intricate architecture, it demonstrates a faster testing time per sample, offering potential advantages in real-world scenarios where speed is paramount. To gain insights into the internal representations of our EG-CNN model, we employed saliency maps for a qualitative analysis. This visualization approach allowed us to ascertain that our model effectively captures crucial aspects of plant disease, encompassing alterations in gene expression, metabolite levels, and spectral discrepancies within plant tissues. Leveraging omics data and hyperspectral images, this study underscores the potential of deep learning methods in the realm of plant disease detection. The proposed EG-CNN model exhibited impressive accuracy and displayed a remarkable degree of insensitivity to hyperparameter variations, which holds promise for future plant bioinformatics applications

Current state of knowledge of basic life support in health professionals of the largest city in Pakistan: A cross-sectional study

Background: Basic Life Support (BLS) is the recognition of sudden cardiac arrest and activation of the emergency response system, followed by resuscitation, and rapid defibrillation. According to WHO, Pakistan has one of the highest mortality rates from accidental deaths therefore assessment and comparison of BLS knowledge in health professionals is crucial. We thereby aim to assess and compare the knowledge of BLS in doctors, dentists and nurses. Methods: A multi-centric cross-sectional survey was conducted in Karachi at different institutions belonging to the private as well as government sector from January to March 2018. We used a structured questionnaire which was adapted from pretested questionnaires that have been used previously in similar studies. Descriptive statistics were analyzed using SPSS v22.0, where adequate knowledge was taken as a score of at least 50%. P \u3c 0.05 was considered as significant. Logistic regression was used to identify the factors affecting the knowledge regarding BLS in health care professionals. Results: The responders consisted of 140 doctors, nurses and dentists each. Only one individual (dentist) received a full score of 100%. In total, 58.3% of the population had inadequate knowledge. Average scores of doctors, dentists and nurses were 53.5, 43.3 and 38.4% respectively. Doctors, participants with prior training in BLS and those with 6 to 10 years after graduation were found to be a significant predictor of adequate knowledge, on multivariate analysis. Conclusion: Even though knowledge of BLS in doctors is better than that of dentists and nurses, overall knowledge of health care professionals is extremely poor. Present study highlights the need for a structured training of BLS for health care workers

Electronic cigarettes use and perception amongst medical students: a cross sectional survey from Sindh, Pakistan

Objective: The manufacturers of electronic cigarettes (e-cigarettes) are actively marketing their product through electronic and social media. Undergraduate medical students are expected to have better knowledge and awareness as they directly interact with patients in their training, The purpose of this study is therefore, to determine knowledge, use and perception regarding e-cigarettes among medical students from Sindh, Pakistan. Results: A cross-sectional study was conducted between 1st July and 30th September 2016 at five different medical colleges situated in the second largest province of Sindh, Pakistan. The data was collected through a structured, self-administered questionnaire. Of the 500 students, the mean age was 21.5 ± 1.7 years and 58% were females. Over (65.6%) students were aware of e-cigarettes, 31 (6.2%) reported having used e-cigarettes, of whom 6 (1.2%) self-reported daily use. Users of conventional tobacco products were significantly more likely to have heard of e-cigarettes (87.6% vs 51.6%, p \u3c 0.001) and having used them (13.9% vs 1.3%, p \u3c 0.001). On multivariable logistic regression analysis we found a strong association of e-cigarette use with consumption of conventional cigarettes [OR: 10.6, 95% CI 3.6-30.8, p \u3c 0.001], use of smokeless tobacco products [OR: 7.9, 95% CI 2.7-23.4, p \u3c 0.001] however a weak association was observed for Shisha use [OR: 3.05, 95% CI 0.9-9.6, p = 0.05]

Assessing the Impact of Leadership and Quality of Work Life on Employees Job Satisfaction: Evidence from Jiangsu University

This research aimed to focus on the influences of motivational factors (e.g., Leadership (LDSP), Quality of work life (QWLF) on the employees’ job satisfaction (EJS).A quantitative method was employed in the sample size of 211. The convenient random sampling technique was selected for data collection. Data was collected through a field survey by using a closed-ended questionnaire. The analysis was done on the structural equation model of partial least square. More specifically, techniques of bootstrapping and PLS Algorithm were used. Thefindings for this study is consistent with previous researchers, prove the direct relationship between LDSP, QWLF and EJS. The positive and statistically significant effects of motivational factors and employees job satisfaction. This study assists the executives from different departments of Jiangsu University. Furthermore, the study conclude with some brief views that the organization need to recognize the significance of good Leadership and Quality of work life for maximizing the level of employee’s job satisfaction. This study offers an advantage to the society, boosting the values in people to add more to their jobs and may help them in their personal growth and development. Hence, it’s essential for firms to inspire their employees’ to work hard for achieving the firm’s goals and objectives