 | Prof. Seemant Kumar Dubey Senior citizens and Peak flow rate Journal Article In: International Journal of Engineering, Management & Technology (IJEMT), vol. 3, iss. 1, pp. 01-08, 2024, ISSN: 2583-4517. @article{GSV-280424-01-IJEMT,
title = {Senior citizens and Peak flow rate },
author = {Prof. Seemant Kumar Dubey},
url = {https://ijemt.com/wp-content/uploads/2024/05/GSV-280424-01-IJEMT.pdf, Download pdf
https://ijemt.com/wp-content/uploads/2024/05/GSV-280424-01-Author_Certificate_IJEMT.pdf, Download Certificate},
issn = {2583-4517},
year = {2024},
date = {2024-05-11},
urldate = {2024-05-11},
journal = {International Journal of Engineering, Management \& Technology (IJEMT)},
volume = {3},
issue = {1},
pages = {01-08},
abstract = {This study was focused on impact of light aerobic exercise and Yogic exercise programs on Peak flow rate
of senior citizens of rural area of dist. Bulandshahr. The researchers administrated the brisk walk/ slow jogging (light
aerobic exercise program) and common yoga protocol given by Ministry of AYUSH (yogic exercise program) as
research tool, for this study. 90 subjects of age 60-65 years has taken, yogic exercise program was given for 16 weeks
on alternate days for 45-60 minutes. ANOVA, ANCOVA and Post hoc (LSD) test were used as statistical technique.
Significant improvement was found in Peak flow rate as a result of the experimental treatments namely Light aerobic
exercise and yogic exercise and both the programs are equally beneficial for the improvement of Peak flow rate of
rural senior citizen. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This study was focused on impact of light aerobic exercise and Yogic exercise programs on Peak flow rate
of senior citizens of rural area of dist. Bulandshahr. The researchers administrated the brisk walk/ slow jogging (light
aerobic exercise program) and common yoga protocol given by Ministry of AYUSH (yogic exercise program) as
research tool, for this study. 90 subjects of age 60-65 years has taken, yogic exercise program was given for 16 weeks
on alternate days for 45-60 minutes. ANOVA, ANCOVA and Post hoc (LSD) test were used as statistical technique.
Significant improvement was found in Peak flow rate as a result of the experimental treatments namely Light aerobic
exercise and yogic exercise and both the programs are equally beneficial for the improvement of Peak flow rate of
rural senior citizen. |
| Isha Pandey, Arjita Singh, Vikas Mishra QR Attendance System Journal Article In: International Journal of Engineering, Management & Technology (IJEMT), vol. 3, iss. 1, pp. 09-18, 2024, ISSN: 2583-4517. @article{GSV-050424-01-IJEMT,
title = {QR Attendance System},
author = {Isha Pandey, Arjita Singh, Vikas Mishra},
url = {https://ijemt.com/wp-content/uploads/2024/05/GSV-050424-01-IJEMT.pdf, Download pdf
https://ijemt.com/wp-content/uploads/2024/05/GSV-050424-01-Author-Certificate-IJEMT.pdf, Download Author Certificate},
issn = {2583-4517},
year = {2024},
date = {2024-05-12},
urldate = {2024-05-12},
journal = {International Journal of Engineering, Management \& Technology (IJEMT)},
volume = {3},
issue = {1},
pages = {09-18},
abstract = {The QR Attendance System represents a modern, efficient, and user-friendly approach to
attendance tracking, contributing to increased productivity and accuracy in various organizational
settings. This system provide a efficient attendance tracking. It develop a unique QR code of each students inorganizations. Using MERN with power BI it touches streamlining attendance tracking, enhance accuracy, and reducing manual efforts. The system allows for innovative features or technological customizable email templates, escalates notifications to supervisors, and maintains attendance for auditing purposes. By automating the monitoring process, it ensures a consistent and virtual appearance. The QR Attendance System is a modern solution designed to streamline and enhance the process oftracking attendance in various educational and organizational settings. Traditional attendance methods,such as manual paper -based systems or card swiping, can be time-consuming,error-prone, and lack real- time data accessibility. The QR Attendance System leverages the convenience of Quick Response (QR)codes and mobile technology to create an efficient and reliable attendance tracking system.The system is built on the principle of generating unique QR codes for each participant, whether it be students, employees, or event attendees. These QR codes can be easily scanned using a mobile device equipped with a camera. The QR code contains essential information such as participant ID, name, and other relevant details. Participants simply present their QR codes to a designated scanner upon entry, The system deals with the management and evaluation of attendance of all students. The student QR code will be provided to professor for taking their a the attendance will be marked as 0 and 1, 0 for absent and 1 for present in the database of the particular student row in the table. The student attendance reports will be generated in CSV and XLS sheet for further use.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The QR Attendance System represents a modern, efficient, and user-friendly approach to
attendance tracking, contributing to increased productivity and accuracy in various organizational
settings. This system provide a efficient attendance tracking. It develop a unique QR code of each students inorganizations. Using MERN with power BI it touches streamlining attendance tracking, enhance accuracy, and reducing manual efforts. The system allows for innovative features or technological customizable email templates, escalates notifications to supervisors, and maintains attendance for auditing purposes. By automating the monitoring process, it ensures a consistent and virtual appearance. The QR Attendance System is a modern solution designed to streamline and enhance the process oftracking attendance in various educational and organizational settings. Traditional attendance methods,such as manual paper -based systems or card swiping, can be time-consuming,error-prone, and lack real- time data accessibility. The QR Attendance System leverages the convenience of Quick Response (QR)codes and mobile technology to create an efficient and reliable attendance tracking system.The system is built on the principle of generating unique QR codes for each participant, whether it be students, employees, or event attendees. These QR codes can be easily scanned using a mobile device equipped with a camera. The QR code contains essential information such as participant ID, name, and other relevant details. Participants simply present their QR codes to a designated scanner upon entry, The system deals with the management and evaluation of attendance of all students. The student QR code will be provided to professor for taking their a the attendance will be marked as 0 and 1, 0 for absent and 1 for present in the database of the particular student row in the table. The student attendance reports will be generated in CSV and XLS sheet for further use. |
| Deekshit Kumar, Yajvendra Kumar, Chandrawati, P.K Tyagi
Exploring Particle Yields in Heavy-Ion Collisions: Investigating Resonances and Hadronic Interactions with the Statistical Hadronization Model Journal Article In: International Journal of Engineering, Management & Technology (IJEMT), vol. 3, iss. 1, pp. 19 - 29, 2024, ISSN: 2583-4517. @article{GSV-120524-01-IJEMT,
title = {Exploring Particle Yields in Heavy-Ion Collisions: Investigating Resonances and Hadronic Interactions with the Statistical Hadronization Model},
author = {Deekshit Kumar, Yajvendra Kumar, Chandrawati, P.K Tyagi
},
url = {https://ijemt.com/wp-content/uploads/2024/05/GSV-120524-01-IJEMT-1.pdf, Download pdf
https://ijemt.com/wp-content/uploads/2024/05/GSV-120524-01-Author-Certificate-IJEMT-1.pdf, Download Author Certificate},
issn = {2583-4517},
year = {2024},
date = {2024-05-17},
urldate = {2024-05-17},
journal = {International Journal of Engineering, Management \& Technology (IJEMT)},
volume = {3},
issue = {1},
pages = {19 - 29},
abstract = {Heavy-ion collisions at high energies create extreme conditions akin to those found in the early cosmos.
Understanding the transition from quarks and gluons to hadrons and unraveling the characteristics of nuclear matter demands a comprehensive analysis of particle creation in such scenarios. In this paper, we leverage the Statistical Hadronization Model (SHM) to scrutinize the impact of resonances and hadronic interactions on particle yields in heavy-ion collisions. The SHM provides a robust framework for characterizing particle creation, integrating statistical mechanics principles with the properties of known resonances to forecast particle yields. By considering the available phase space and the probabilities of various hadronic interactions, the SHM facilitates a deeper comprehension of the particle composition observed in experiments. Our study conducts a meticulous examination of particle yields across a spectrum of heavy-ion collision scenarios, encompassing diverse collision energies and system sizes. Through a comparative analysis with experimental data, we elucidate the role of resonances and hadronic interactions in shaping the final particle spectra. Our findings underscore the substantial influence of resonances on particle production, particularly evident in the contribution of decay products, especially
for particles with higher masses. Furthermore, we observe deviations from complete thermalization due to the influence of hadronic interactions on particle yields. These insights contribute significantly to our understanding of the fundamental mechanisms governing particle creation in heavy-ion collisions, advancing our knowledge of nuclear matter under extreme conditions and refining the statistical hadronization model. Our study underscores the imperative for the SHM to account for both resonances and hadronic interactions to accurately predict particle yields in heavy-ion collisions. Continued advancements in modeling will further illuminate the dynamics of the early cosmos and the quark-gluon plasma, fostering deeper insights into these fundamental phenomena.
},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Heavy-ion collisions at high energies create extreme conditions akin to those found in the early cosmos.
Understanding the transition from quarks and gluons to hadrons and unraveling the characteristics of nuclear matter demands a comprehensive analysis of particle creation in such scenarios. In this paper, we leverage the Statistical Hadronization Model (SHM) to scrutinize the impact of resonances and hadronic interactions on particle yields in heavy-ion collisions. The SHM provides a robust framework for characterizing particle creation, integrating statistical mechanics principles with the properties of known resonances to forecast particle yields. By considering the available phase space and the probabilities of various hadronic interactions, the SHM facilitates a deeper comprehension of the particle composition observed in experiments. Our study conducts a meticulous examination of particle yields across a spectrum of heavy-ion collision scenarios, encompassing diverse collision energies and system sizes. Through a comparative analysis with experimental data, we elucidate the role of resonances and hadronic interactions in shaping the final particle spectra. Our findings underscore the substantial influence of resonances on particle production, particularly evident in the contribution of decay products, especially
for particles with higher masses. Furthermore, we observe deviations from complete thermalization due to the influence of hadronic interactions on particle yields. These insights contribute significantly to our understanding of the fundamental mechanisms governing particle creation in heavy-ion collisions, advancing our knowledge of nuclear matter under extreme conditions and refining the statistical hadronization model. Our study underscores the imperative for the SHM to account for both resonances and hadronic interactions to accurately predict particle yields in heavy-ion collisions. Continued advancements in modeling will further illuminate the dynamics of the early cosmos and the quark-gluon plasma, fostering deeper insights into these fundamental phenomena.
|
