Investigating the Factors Influencing RFID Adoption Intentions of Retailers: Evidences from Lahore-Pakistan

Although there have been many articles emphasizing the common remunerations of the RFID implementation in the supply chain but the progression of instigating the equipment  for the administration tenacity is somewhat on the leisurelier side particularly in likes of Pakistan and other under developed realms. The perseverance of the investigation is to accomplish a scrutiny of the administrative issues which stimulus the RFID implementation intents. The investigation is to be conducted by the mean of a statistical study of the numbers congregated over an opinion poll through different retailers in the Lahore region. The inquiryis done with the assistance of SPSS and for this perseverance the questionnaire is alienated in agreement to some variables explicitly technology competence, social issuesand competitive pressure. The emphasis group for the study is the retail industry as it is supposed to be the most conspicuous field which can develop the maximum improvement from the RFID technology espousal.This research would benefit in enhanced understanding of the aspectsimpelling the RFID implementation aims on the administrative foundation

Rewards Satisfaction, Perception about Social Status and Commitment of Nurses in Pakistan

This research is undertaken to approve or reject the general perception of masses about commitment of employees and to identify those factors, which effect commitment of employees in general and of nurses in particular. In previous research of Allen and Myere (1990), the factor of social status was not addressed. In this study target audience is nurses. Whereas, it is a proven fact that psychological perception effects individual’s attitudes and behaviors, so to see that how satisfaction with rewards/ benefits and perception about social status effect commitment of employees, this research was undertaken. Satisfaction level varies from person to person. The empirical results have proved that commitment of employees is affected due to satisfaction with rewards/ benefits and perception about social status

Rewards Satisfaction, Perception about Social Status and Commitment of Nurses in Pakistan

This research is undertaken to approve or reject the general perception of masses about commitment of employees and to identify those factors, which effect commitment of employees in general and of nurses in particular. In previous research of Allen and Myere (1990), the factor of social status was not addressed. In this study target audience is nurses. Whereas, it is a proven fact that psychological perception effects individual’s attitudes and behaviors, so to see that how satisfaction with rewards/ benefits and perception about social status effect commitment of employees, this research was undertaken. Satisfaction level varies from person to person. The empirical results have proved that commitment of employees is affected due to satisfaction with rewards/ benefits and perception about social status

Mutational Analysis Among Patients with Duchenne Muscular Dystrophy

Background and objective: Duchenne Muscular Dystrophy is caused by mutations in dystrophin gene that include deletion, duplication and small mutations. Introduction to newer drug therapies in DMD is based on the type of mutation. The objective of this study was to assess distribution and percentage of different mutations among DMD patients. Methods: This retrospective cross-sectional study was conducted in Pediatric Neurology department of UCHS & Children Hospital Lahore. All the cases of Duchenne Muscular Dystrophy confirmed through genetic analysis from January 2022 to June 2022 through MLPA method were enrolled in the study. Data was recorded on detailed history and physical examination of the subjects and all lab investigations along with genetic study was reviewed to collect the data on given Performa. All the collected data was saved for final analysis. Results: Total 60 patients were enrolled in the study. The most common mutation was deletion, detected in 32 (56%) cases, duplication was detected in 10 (17.5%) cases and genetic study of 15 (26.5 ) patients was turned out to be normal. The most common deletion was found to be at 45-52 (43%) exons. Conclusion: The most common mutation among genetically confirmed cases of DMD was found to be deletion at 45-52 exons. This mutational evaluation is the first step toward trial of new medicines while treating DMD, as mechanism of action of new drugs is based on the type of mutation

A survey on sentiment analysis in Urdu: A resource-poor language

© 2020 Background/introduction: The dawn of the internet opened the doors to the easy and widespread sharing of information on subject matters such as products, services, events and political opinions. While the volume of studies conducted on sentiment analysis is rapidly expanding, these studies mostly address English language concerns. The primary goal of this study is to present state-of-art survey for identifying the progress and shortcomings saddling Urdu sentiment analysis and propose rectifications. Methods: We described the advancements made thus far in this area by categorising the studies along three dimensions, namely: text pre-processing lexical resources and sentiment classification. These pre-processing operations include word segmentation, text cleaning, spell checking and part-of-speech tagging. An evaluation of sophisticated lexical resources including corpuses and lexicons was carried out, and investigations were conducted on sentiment analysis constructs such as opinion words, modifiers, negations. Results and conclusions: Performance is reported for each of the reviewed study. Based on experimental results and proposals forwarded through this paper provides the groundwork for further studies on Urdu sentiment analysis

Left Ventricular Systolic Dysfunction in Patients of Obstructive Sleep Apnea Syndrome

Objective: To determine the left ventricular systolic dysfunction and the association of various factors with this dysfunction in patients with obstructive sleep apnea syndrome. Study Design: Cross-sectional study. Place and Duration of Study: Pak Emirates Military Hospital, Rawalpindi Pakistan, from Dec 2020 to May 2021. Methodology: We included the patients diagnosed with sleep apnea syndrome by a consultant pulmonologist based on a sleep study. Patients were labelled as having left ventricular systolic dysfunction if the ejection fraction was less than 40% on echocardiography. Results: Eighty patients diagnosed with sleep apnea syndrome were included in the study. The mean age of the study participants was 48.551±9.971 years. Out of 80 patients, 19(23.75%) had left ventricular systolic dysfunction on echocardiography, while 61(76.25%) had no evidence of left ventricular systolic dysfunction. With the application of relevant statistical tests, we found that patients with high body mass index and the presence of comorbid illnesses had a statistically significant relationship (p-value<0.05) with the presence of left ventricular systolic dysfunction among patients with sleep apnea syndrome. Conclusion: Considerable number of patients suffering from obstructive sleep apnea syndrome showed the presence of left ventricular systolic dysfunction on echocardiography. High Body mass index and comorbid illnesses emerged as risk factors for left ventricular systolic dysfunction in our study population

Concept mapping and conceptual change texts: a constructivist approach to address the misconceptions in nanoscale science and technology

Nanoscale Science and Technology (NST) is a rapidly evolving field with profound implications for various industries and our everyday lives. However, misconceptions among learners can hinder their ability to grasp the fundamental concepts of NST, thereby impeding their potential contributions to this advancing domain. Concept maps (CM) and conceptual change texts (CCT) are graphical and written representations of knowledge that enable learners to visualize relationships between concepts and assess the coherence of their understanding. In this pursuit, we engage with the concept of rehabilitation for misconceptions, viewing the learning process as a transformative journey akin to cognitive rehabilitation. Through this CM-CCT constructivist approach, learners are encouraged to engage in critical reflection, self-questioning, and peer discussions, which facilitate the identification of misconceptions. Moreover, CM-CCT provide a structured framework for presenting accurate information about NST, offering a clear depiction of the hierarchical and interconnected nature of nanoscale phenomena. The aim of this study was to evaluate the effectiveness of CM-CCT in correcting the misconceptions of undergraduate university students regarding nanotechnology and the taxonomy of nonmaterial. Prior to the implementation of the CM-CCT, an assessment of pre-existing knowledge of the students was performed through the structure of the observed learning outcomes (SOLO) taxonomy. A quasi-experimental research design was carried out. A total of 70 undergraduate university students, divided into two intact groups, were cross-examined for the study. Further, before and after the instructional tools, an achievement test based on nanotechnology and classification of nonmaterial was conducted, covering all six cognitive domains of the Bloom taxonomy of educational objectives. Data analysis revealed that the instructional tools based on constructivist approach had a statistically significant impact on students for elimination of their misconceptions about nanotechnology, nano science and classification of nonmaterial

Soft computing paradigms to find the numerical solutions of a nonlinear influenza disease model

The aim of this work is to present the numerical results of the influenza disease nonlinear system using the feed forward artificial neural networks (ANNs) along with the optimization of the combination of global and local search schemes. The genetic algorithm (GA) and active-set method (ASM), i.e., GA-ASM, are implemented as global and local search schemes. The mathematical nonlinear influenza disease system is dependent of four classes, susceptible S(u), infected I(u), recovered R(u) and cross-immune individuals C(u). For the solutions of these classes based on influenza disease system, the design of an objective function is presented using these differential system equations and its corresponding initial conditions. The optimization of this objective function is using the hybrid computing combination of GA-ASM for solving all classes of the influenza disease nonlinear system. The obtained numerical results will be compared by the Adams numerical results to check the authenticity of the designed ANN-GA-ASM. In addition, the designed approach through statistical based operators shows the consistency and stability for solving the influenza disease nonlinear system