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DIL Ne Fhir Yaad Kiya Review

DIL Ne Fhir Yaad Kiya Review

Table of Contents

Have you ever found a book that pulls at your heartstrings even before you turn the first page? That’s precisely what “DIL Ne Fhir Yaad Kiya Paperback – 15 July 2020” does. This enchanting book has captured our attention and we couldn’t wait to share our thoughts with you. Let’s dive into what makes this book a must-read.

DIL Ne Fhir Yaad Kiya Paperback – 15 July 2020

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Overview of “DIL Ne Fhir Yaad Kiya”

To truly appreciate this book, we first need to get a gist of what it’s about. “DIL Ne Fhir Yaad Kiya” is a romance novel that takes us on a journey of love, loss, and unforgettable memories. It’s an emotional roller coaster, filled with moments that’ll make you smile, cry, and everything in between.

Key Information

Let’s take a closer look at some key details about this book:

Attribute Details
Title DIL Ne Fhir Yaad Kiya
Format Paperback
Release Date 15 July 2020
Genre Romance/Drama
Language Hindi
Page Count Approximately 250 pages
ISBN ISBN details here (if available)

Knowing these basic details sets the ground for us to go deeper into the content and the overall experience of reading “DIL Ne Fhir Yaad Kiya”.

DIL Ne Fhir Yaad Kiya Paperback – 15 July 2020

DIL Ne Fhir Yaad Kiya Paperback – 15 July 2020

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Plot Summary

In any review, it’s critical to give a snapshot of the story, without giving away too much. So here it is:

Storyline

At its core, “DIL Ne Fhir Yaad Kiya” is the tale of two souls destined to be together, but life’s twists and turns continually pull them apart. Without spoiling too much, we can tell you that the narrative revolves around heartfelt themes and engaging subplots that make it hard to put the book down.

Characters You’ll Love

We’re all about character-driven stories and “DIL Ne Fhir Yaad Kiya” doesn’t disappoint. The protagonists are well-developed and relatable, their struggles becoming our own as we flip through the pages. The supporting characters also add depth, making the storyline even more compelling.

DIL Ne Fhir Yaad Kiya Paperback – 15 July 2020

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Check out the DIL Ne Fhir Yaad Kiya Paperback – 15 July 2020 here.

Writing Style

Narrative Voice

The author’s voice in “DIL Ne Fhir Yaad Kiya” is captivating. The language is rich and eloquent, making it a delight for Hindi readers. The emotional depth is captured beautifully through the prose, making it easy for us to connect with the story.

Dialogue

Dialogue in this book feels natural and flows effortlessly. The author has done a fantastic job in making conversations between characters feel realistic and heartfelt. We find ourselves nodding in agreement or shedding tears as we read what the characters have to say.

Themes and Motifs

Love and Loss

Love, in its various forms, is the central theme of “DIL Ne Fhir Yaad Kiya”. From romantic love to family bonds, the author explores how love influences our lives profoundly. Loss is another recurring theme, and the way it’s handled is both poignant and relatable.

Memory and Nostalgia

Memories play a crucial role in the narrative. The past, with its joys and sorrows, is continually revisited, making us reminisce about our own life experiences. The author captures nostalgia in a way that’s both heartwarming and heartbreaking.

DIL Ne Fhir Yaad Kiya Paperback – 15 July 2020

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Emotional Impact

Tear-jerking Moments

If you’re the kind of reader who loves a good cry, then “DIL Ne Fhir Yaad Kiya” will not disappoint. There are several moments in the book where the emotions are so intense, we couldn’t help but reach for a tissue.

Joyful Times

It’s not all gloom and doom, though. The book is peppered with moments of joy and laughter that balance the narrative beautifully. These moments make us cherish the happy times in our own lives, reminding us that joy often follows sorrow.

Reader Experience

Engagement

From start to finish, “DIL Ne Fhir Yaad Kiya” keeps us engaged. The storytelling is compelling, and the plot twists make it a book that’s hard to put down. We found ourselves constantly turning the page, eager to know what happens next.

Pacing

Pacing is another strong point of this book. The author has balanced the momentum well, weaving fast-paced scenes with slower, more reflective moments. This makes for an enjoyable reading experience that keeps us hooked.

Cultural Significance

Representation

Hindi literature often doesn’t get the limelight it deserves, and “DIL Ne Fhir Yaad Kiya” is a wonderful addition to this genre. It represents the nuances of Indian culture beautifully, making it a relevant read for anyone interested in understanding this aspect of storytelling.

Relatability

Readers who grew up in similar cultural settings will find “DIL Ne Fhir Yaad Kiya” particularly relatable. From the portrayal of familial relationships to societal expectations, the author has captured the essence of Indian life compellingly.

Critical Reception

Reader Reviews

The book has garnered positive reviews from readers who praise its emotional depth and vivid character portrayal. Many have highlighted how it’s a refreshing read in the current literary landscape.

Expert Opinions

Experts in the field of Hindi literature have also commended the book for its narrative style and thematic depth. It’s been described as a potential classic that resonates with a wide range of audiences.

Potential Drawbacks

Language Barrier

One possible drawback is the language barrier for non-Hindi readers. An English translation would make the book accessible to a broader audience, but for now, it’s a gem for those who understand Hindi.

Emotional Intensity

While the emotional intensity is a highlight for many, some readers might find it overwhelming. If you’re looking for a light-hearted read, this might not be the best choice. However, if you are ready for an emotional journey, this book is perfect.

Conclusion

In summary, “DIL Ne Fhir Yaad Kiya Paperback – 15 July 2020” is a poignant read that captures the essence of love and loss beautifully. With well-developed characters, a compelling narrative, and significant cultural representation, it stands out as a must-read in Hindi literature. Whether you’re looking to get lost in an emotional tale or seeking a deeper understanding of love’s complexities, this book has something for everyone.

So, have you read “DIL Ne Fhir Yaad Kiya” yet? We’d love to hear your thoughts. Because at the end of the day, sharing our love for books is what makes our reading experiences richer.

See the DIL Ne Fhir Yaad Kiya Paperback – 15 July 2020 in detail.

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Emmanuel Bazile All Rights Reserved

About Me

With 25 years of experience in healthcare IT implementation, Emmanuel began his career at the University of Pittsburgh Medical Center, working as an assistant manager for a billing system implementation. Over the years, he has explored various aspects of the healthcare IT domain, successfully implementing several laboratory information systems and electronic medical record (EMR) systems, such as Cerner Millennium and Epic EMR.

In 2005, Emmanuel shifted his focus to public health, working on bio-surveillance implementation for the Centers for Disease Control and Prevention (CDC). He contributed to the BioSense Data Provisioning Project and performed extensive analysis of HL7 messages in hospitals and healthcare facilities. Additionally, Emmanuel requirements analysis for the CDC BioSense Analysis, Visualization and Reporting (AVR) project and played a key role in publishing the Situational Awareness updates to the BioSense System Requirements Specification (SRS).

Over the past 11 years, Emmanuel has worked in the Middle East, implementing the Epic EMR system at Cleveland Clinic Abu Dhabi. As a multidisciplinary team member, he has taken on various roles, including SCRUM Master, Project Manager, Integration Engineer, and Platform Engineer. Concurrently working as an adjunct university faculty member, teaching graduate-level courses in Systems Life Cycle and undergraduate courses in Health Information Systems

From a technological standpoint, Emmanuel has designed, installed, and implemented complete hospital integration systems using Rhapsody Integration Engine, MS SQL Server, and Public Health Information Networks Messaging System (PHINMS). He has also developed over 10,000 interfaces some of which coded in Java and JavaScript.

In 2019, Emmanuel expanded his skill set and entered the field of digital marketing, quickly becoming a proficient Digital Marketing Strategist. He has since helped numerous clients develop robust digital marketing strategies for their businesses. His expertise encompasses Social Media Marketing, On-page and Off-page SEO, Google Ads, and Google Analytics. Additionally, he and a team have managed clients’ website development projects, ensuring that each site is optimized for SEO, further enhancing their online presence and performance.

Alongside their digital marketing expertise, Emmanuel has delved into the world of Affiliate Marketing, where Emmanuel and his team successfully managed and executed campaigns for a variety of clients. By identifying the right products and services to promote, Emmanuel and his team helped clients generate passive income streams and increase their overall revenue.

Their approach to Affiliate Marketing involves creating valuable content that educates and engages the target audience, while strategically incorporating affiliate links. Emmanuel and his team have experience working with multiple affiliate networks and platforms, ensuring optimal tracking and reporting of performance metrics. By staying up to date with the latest trends and best practices, Emmanuel and his team have been able to optimize affiliate campaigns for maximum results, fostering long-term partnerships and sustainable growth for their clients.

As an accomplished professional, Emmanuel holds dual Bachelor of Arts degrees in Linguistics and English, a Master of Science in Health Information Systems from the University of Pittsburgh, and a Ph.D. in Information Systems from Nova Southeastern University.

My Teaching History

Professor Bazile is a dedicated technology instructor and Adjunct Faculty professor, who began his teaching career in April 2000 at the Business Career Institute in Las Vegas, Nevada.

In 2001, he expanded his expertise by training nurses in the use of Electronic Medical Records (EMR) systems. His experience in both technology and healthcare led to his appointment as an Adjunct Faculty professor at the University of Phoenix in May 2008, where he has taught several graduate-level information technology and healthcare information systems courses.

Dr. Bazile has also developed an HL7 course, which he has taught at various healthcare facilities, drawing from his own book, “HL7: Introductory and Advanced Concepts,” currently available on Amazon. With a passion for teaching and a commitment to ensuring students get the most out of each course he teaches, Dr. Bazile is a valuable asset to both his students and the institutions he serves.

My Teaching Philosophy

My teaching philosophy as an Information Systems professor in healthcare is built on the concept that education should equip students to be confident and capable problem solvers who are prepared to traverse the complicated and ever-changing landscape of Healthcare IT.

In order to accomplish this, I prioritize the creation of a dynamic and engaging learning environment that encourages students to engage with course material and with one another. This involves employing a range of teaching approaches, such as lectures, seminars, and hands-on activities, to ensure that students learn in the manner that best matches their learning style.

I believe the reason we have Information Systems as a discipline is to allow students to apply technology to solve real world problems. If that is the case, both undergraduate and graduate students have to be challenged to incorporate their core academic courses with their matriculated subjects. As such, it is important that students enter their Junior and Senior years with a strong command of the core courses such as Programming, databases, networks, hardware and software, as they serve as the foundation upon which real-world solutions will be built.

I also believe in the importance of incorporating real-world examples and case studies into my courses, as this helps to connect abstract concepts to practical applications. Additionally, I encourage students to apply what they are learning to their own personal and professional goals, as this helps to make the material more meaningful and relevant to their lives.

I strive to foster a positive and supportive learning environment where all students feel comfortable asking questions and participating in class discussions. I believe that this is key to fostering a sense of community and ensuring that all students have the opportunity to succeed.

I have also taught online courses. I have found in an asynchronous learning environment it can be difficult to apply the Peer Teaching or Experiential Learning Pedagogical Approaches. However, I have found the Discovery Learning approach to works quite well. Along with a boost to students’ self-confidence, Discovery Learning in an online environment allows students to synthesize information, expand on existing concepts on their own, while experiencing a positive outcome through trial and error.

Ultimately, my mission as an educator, and a Healthcare IT Information Systems professor is to provide students with the knowledge, skills, and confidence they need to thrive and succeed in their careers and to be technological leaders. By creating a positive and supportive learning environment, incorporating real-world examples and case studies, and encouraging students to apply what they are learning to their own objectives; my hope is to inspire and empower all students to achieve their full potential.

Population Size:

A total of 310 responses were originally received. Any response containing missing data due to unclicked radio buttons or unchecked checkboxes were first reviewed, and, if justified, were omitted from analysis. For surveys with missing data, a total of 18 responses were removed. In order to address any issues with response-set, the data was downloaded into Microsoft Access and queries ran to identify responses that contained the same values for each question. A total of 16 responses were found to be qualified for removal. Another 18 were identified as outliers and removed leaving a total of 258 responses for the study analysis.

In order to assess multivariate outliers, the Mahalanobis distances were calculated and plotted against their corresponding Chi-Square distribution percentiles (Schmidt & Hunter, 2003). The resulting scatterplot is similar to a univariate normal Q-Q plot, where deviations from a straight line show evidence of non-normality. The data showed indications of moderate deviations from multivariate normality, as indicated by the concavity of the data points. There were no additional multivariate outliers or missing values in the data after the removal of 52 responses.

Descriptive Statistics

Frequencies and percentages were conducted for the demographics indicators, while means and standard deviations were calculated for the continuous indicators. For gender, there were 151 females (59%) and 107 males (41%) in the sample. For ethnicity, most participants were Caucasian (119, 46%), followed by African American (56, 22%). The two most populous education levels were Bachelor’s (90, 35%) and Master’s (62, 22%). The biggest proportion of the sample by age group was the 35-44 age group (101, 39%) followed by the 45-54 age group (59, 23%).

Analysis:

Confirmatory Factor Analysis and Composite Reliability

A CFA was conducted along with a reliability analysis to assess construct validity. Examination of modification indices and factor loadings indicated that CSE1, CSE5, CSE7, PC5, ATE1, ATE6, ATE8, PP5, and PP6 were all causing significant problems with the model parameters. The results of the last iteration of the CFA performed in R showed significantly improved fit, although still poor overall (χ2(545) = 2125.61, p < .001, CFI = 0.82, TLI = 0.81, RMSEA = 0.11). The high degrees of freedom indicate that a very large number of parameters are being estimated in this model.

Composite Reliability

For the full model, each construct had excellent reliability. The ATE latent construct had a composite reliability value of 0.89. The ORC construct had a composite reliability value of 0.94. The CSE latent construct had a composite reliability value of 0.85 and PC had a composite reliability value of 0.95. For PP and RES, the composite reliability scores were 0.80 and 0.96 respectively. These values indicate that the loadings for each construct were all directionally similar, and that the items in each construct show a high degree of consistency.

Cronbach’s Alpha

Cronbach’s alpha values were calculated for the items in each construct. The alphas for PC (α = 0.90), AXY (α = 0.94), and RES (α = 0.94) indicated excellent reliability. The alphas for CSE (α = 0.80), ATE (α = 0.88), and PP (α = 0.83) all showed good reliability. These values confirm the results of the composite reliability tests, and reiterate the high degree of reliability within each latent construct.

Partial Least Squares – Structural Equation Modeling

A partial least squares- structural equation modeling (PLS-SEM) was conducted to determine how well the data fit the proposed model, and discern whether significant relationships existed between the independent and dependent constructs. The full model showed AVE values of 0.53 for ATE, 0.69 for AXY, 0.44 for CSE, .72 for PC, .35 for PP, and 0.81 for RES. The high values for AXY, PC, and RES indicate that the amount of variance accounted for in the manifest variables is sufficiently high. The values for ATE, CSE, and PP indicate that some of the variance in the manifest variables is left unexplained.

Structural Model

Once the measurement model had been tested for model specification, the structural model was tested to determine if ATE, AXY, CSE, PC, and PP had a significant effect on RES. A path weighted model was calculated using 10,000 bootstrap samples in R. The results showed a pseudo R-squared value of 0.78. This indicates that approximately 78% of the variance in RES is explainable by the collective effects of CSE, PC, ATE, PP, and AXY.

Further examination of the effects indicated that AXY had a highly significant effect on RES (B = 0.87, p < .001). This indicates that a standard deviation increase in AXY increases the expected value of RES by 0.87 standard deviations. CSE did not have a significant effect on RES (B = 0.02, p = .423). Additionally, CSE (B = 0.02, p = .423), PC (B = 0.05, p = .334), ATE (B = 0.00, p = .983), and PP (B = 0.03, p = .407) did not have significant effects on RES. Table 11 outlines the results of the path estimates.

Correlation Analyses

Both Pearson and Spearman correlations were calculated on the composite scores. The results of the Pearson correlations indicated that CSE was significantly correlated AXY (r = 0.22, p < .001) and RES (r = 0.21, p < .001). The results also indicated that PC was significantly correlated with ATE (r = -0.79, p < .001), AXY (r = 0.18, p < .001), and RES (r = 0.20, p < .001). ATE was significantly correlated with AXY (r = -0.19, p < .001) and RES (r = -0.19, p < .001). AXY was significantly correlated with RES (r = 0.85, p < .001).

ANCOVA Analyses

An analysis of covariance (ANCOVA) was conducted to determine if a significant relationship existed between the AXY, PP, CSE, PC, ATE scores and RES controlling for Gender, Age, Ethnicity, Education, and Specialty. The overall model was found to be significant (F(63,194) = 53.39, p < .001), with an R2 value of .95, indicating that 95% of the variance in RES was explained by the collective effect of the independent variables and covariates.

Since the overall model was found to be significant, the model’s covariates were assessed. The AXY (F(10,194) = 262.20, p < .001), ATE (F(7,194) = 2.20, p = .036), Years computers (F(1,194) = 5.71, p = .018), and PC (F(12,194) = 2.00, p = .026) scores were found to be significant, indicating that a significant amount of variance in RES is explained by AXY, ATE, and PC.

A path diagram depicting the results of the structural model.

Results

This research investigated Computer Self-Efficacy (CSE), Perceived Complexity (PC), Attitudes toward EMR Systems (ATE), Peer Pressure (PP), and Anxiety (AXY) to determine whether these constructs as individuals, or as a group, or coupled together with some other factors could significantly explain resistance to EMR systems. Quantitative examination of self-reported survey results was performed to understand the strength and significance of the relationships, while these relationships were investigated to test the strength of model fit.

the regression paths of the structural model were examined to test the hypotheses. Significance was determined using an alpha level of .05. The model had an overall R2 value of 0.78. This indicates that approximately 78% of the variability in RES can be accounted for by CSE, PC, ATE, PP, and AXY. Since the overall model was significant, the individual coefficients can be interpreted. Some of the hypotheses were supported by the results of this study, and some were rejected. The construction of a data model of the relationships in this study could not meet thresholds that would be evidence of a good fit of the relationships identified in the study.

The fifth hypotheses tested the influence of AXY on resistance to EMR systems. AXY was expressed to be significantly related to resistance (r=.87, p<.001). This finding supports the hypothesis that anxiety with the EMR system will lead to medical care professionals rejecting use of the system. Unlike the findings of the first four hypotheses, the findings of the current study support previous research. Angst and Agarwal (2009) indicated that AXY is a factor which is significantly related to the problem of EMR system resistance. Based on the empirical findings of previous research, the present research and conceptual propositions and conclusions in previously written scholarly articles, there is a great deal of support for the finding that AXY is significantly influenced by EMR resistance.

The findings of this research do not support all findings by previous researchers, and there are multiple relationships which had been established as being significant that were identified as being insignificant in the current research. Generally, because of the inconsistency of previous findings and the current study there may be elements related to the sample examined or other contextual factors which may contribute to the inconsistency that exists. Ultimately, it is suggested that there be further research done on the problem of resistance to EMR system use.

Ultimately the findings support a new take on the problem of EMR system resistance that may contribute to the ways in which scholars investigate the problem of EMR resistance in general. This may also help with the way practitioners approach EMR systems, and articulate value of the systems to medical professionals investing record-keeping systems in the workplace.