Special Issues

Listed below is a list of selected special articles.

Articles by Year

5 records are found

Study on Efficiency of Nanoparticles for Water Purification Using Molecular Editing Programs and Computational Analysis

(*Please email us at info@jyem.org for the information on membership to get access to the full article.)

Abstract: 

The purpose of this project is to study the potential use of nano-scaled chemicals by testing their efficiency and effectiveness for water purification. The efficiency of these chemicals can be measured by analyzing their physicochemical properties such as optimization energy, dipole moment, and electrostatic map. The electrostatic map visualizes the charge distribution throughout the molecule, the dipole shows the charge difference within an unequally shared bond, and optimization energy shows the levels of stability of the molecules. Molecular editing computer programs were used to measure the optimized geometries and chemical properties in this paper. The modeled structures and atomic properties were analyzed by using electron density theory and considering the stereochemical effects of the molecules

The Avogadro software which is an open-source molecular editing program equipped with auto-optimization features was used in the stereochemical analysis. The program determines the theoretical values of a certain structure’s atomic properties, such as enthalpy, bond strength, and electron distributions through the Density Functional Theory (DFT). This software allows users to build virtually any molecule and optimize its geometry according to various force field options. In this project, the surface-functionalized Carbon Nanotubes(CNTs) and hydrated Fullerenes were modeled and analyzed.

Keywords: Water quality, Purification, Molecular editing program, Avogadro, Density Functional Theory (DFT), Carbon Nanotubes(CNTs)


References

  1. https://www.nanowerk.com/nanotechnology/introduction/introduction_to_nanotechnology_22.php

  2. https://www.nanowerk.com/nanotechnology/introduction/introduction_to_nanotechnology_22.php

  3. https://link.springer.com/article/10.1007/s10311-020-00970-6

  4. https://blog.dexmat.com/carbon-nanotubes-water-filtration

  5. Graphene oxide: A mini-review on the versatility and challenges as a membrane material for solvent-based separation, 2022, Chemical Engineering Journal Advances

  6. Nanotechnology for agricultural applications: Facts, issues, knowledge gaps, and challenges in environmental risk assessment, 2022, Journal of Environmental Management
     

  7. Overcoming the trade off between the permeation and rejection of TFN nanofiltration membranes through embedding magnetic inner surface functionalized nanotubes, 2022, Process Safety and Environmental Protection
     

  8. Development of robust and high-performance polysilsesquioxane reverse osmosis membranes modified by SiO nanoparticles for water desalination, 2022, Separation and Purification Technology
     

  9. Improved lattice Boltzmann method to simulate liquid flow in nanoporous media: Coupling molecular dynamics simulations and theoretical model, 2022, Advances in Water Resources

  10. https://ysjournal.com/carbon-nanotubes-the-future-of-the-planets-freshwater/

  11. https://www.usgs.gov/news/quality-nation%E2%80%99s-groundwater 

  12. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005998/

  13. https://engage.aiche.org/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=30e29c55-e8c2-46c9-9e26-7a2af6f4420c&ssopc=1

  14. https://www.aquasana.com/info/which-states-have-the-best-and-worst-tap-water-pd.html 

  15. ttps://cdn.intechopen.com/pdfs/38077/InTech-Potential_of_carbon_nanotubes_in_water_treatment.pdf

The Effect of Apis mellifera Propolis on the Growth of Tumors on Solanum lycopersicum

(*Please email us at info@jyem.org for the information on membership to get access to the full article.)

Abstract: 

Plants are an integral part of human life. Crops, especially fruits and vegetables, provide humans with energy and nutrients. What would happen if we didn’t have these foods at all? The aim for this research study was to determine if the plant ridding disease, Tobacco Mosaic Virus
(TMV), could be mitigated if treated with propolis; a substance collected from Apis mellifera (honey bees) when they pollinate flowers. The plant selected for this study was Solanum lycopersicum (tomato plant) due to its commonality with the virus itself. Due to the hardships of germination, the plants were bought and not grown and only the leaf count was measured. The plants were split into two groups, control and experimental. TMV was applied to both groups, but only the experimental group was treated with Apis mellifera propolis. Several days later, the experimental group received the propolis. With the control group, about 6 leaves were destroyed and wrinkle while in the experimental group only 2 leaves were shriveled and destroyed. The control group plant had a tilt as the stem was weakening, while the experimental group was upright. The colors didn't change all too much in either except for the leaf color. In the control group, the leaves looked black and brown, while in the experimental it looked slightly brown
rather than black. According to the data collected, the plant-ridden disease of the Tobacco Mosaic Virus can be rid of with the propolis of Apis mellifera.

KeywordsSolanum lycopersicum,  Apis mellifera Propolis,  Growth of Tumors, Tobacco Mosaic Virus
(TMV)


References

  1. References
    Aiderus, M. (2018). Bioactive Natural Products. Insect Biochemistry, 11(6), 685-690. https://doi.org/10.1016/0020-1790(81)90059-7
  2. Annila, T. (2019). Natural bee products and their apitherapeutic applications - ScienceDirect. Sciencedirect, 117(1), 508-508. https://doi.org/10.5248/117.508
  3. El-Seedi, H., Yosri, N., Chen, L., Abd El-Waheed, A., & Ghulam Musharraf, S. (2020). Antimicrobial Properties of Apis mellifera’s Bee. Proquest.com. Retrieved 24 March 2022, from https://www.proquest.com/docview/2424016008/F7926CD3CA434259PQ/1.
  4. Enderling, K. (2019). What are the different types of tumor?. Medical News Today, 23-25. https://doi.org/10.18773/austprescr.2017.005
  5. Kolayi, S., 2021. Bee venom. [online] Bee venom - an overview. Available at 0a%20very,phospholipase%2DA2%20%5B4%5D.> [Accessed 21 December 2021].
  6. Wollaeger, H. (2014). Common questions and answers about tobacco mosaic virus. Michigan State University Extension. Retrieved 16 February 2022, from.
  7. Wagh V. D. (2013). Propolis: a wonder bees product and its pharmacological potentials. Advances in pharmacological sciences, 2013, 308249. https://doi.org/10.1155/2013/308249
  8. Yin, Z., KOBIKI, A., & KAWADA, H. (2012). Tobacco Mosaic Virus as a New Carrier for Tumor Associated Carbohydrate Antigens. Tobacco Mosaic Virus As A New Carrier For Tumor
    Associated Carbohydrate Antigens, 2012(0), 47. https://doi.org/10.1299/jsmeintmp.2005.47_2

 

The Effects of Sublethal Doses of Hexavalent Chromium on the Health Eisenia fetida


Abstract: 

 In this experiment  working with Chromium and Eisenia fetida studying the health and behaviors of Eisenia fetida and how Chromium will affect their behaviors when exposed to Chromium. Other researchers that have done similar research showed that their Eisenia fetida have died because of being exposed to too much Chromium or in other experiments they did not have an outcome because the Eisenia fetida was not exposed to enough Chromium. The Eisenia fetida will be exposed to Chromium for about 2 weeks. The worms  will be monitored. The habitat of the Eisenia fetida is moist soil, although some Eisenia fetida actually prefer mud, such as the mud that is found along the shores of lakes or swamps. Eisenia fetida can be found in the soil of backyards as well as near bodies of fresh and saltwater.  When the  Eisenia Fetida arrive  there will be an enclosure for them to be in. Earthworms eat soil. Their nutrition comes from things in soil, such as decaying roots and leaves. The entire surface of a worm's body absorbs oxygen and releases carbon dioxide. Moisture Eisenia Fetida moves  by squeezing muscles around their water- filled bodies. The Earthworms  will lose weight  when being exposed to Chromium. They will also shrink and the regeneration process for the earthworms will slow down. This shows how Chromium does have an effect on Eisenia fetida  and can cause the worms to have different effects.

Keywords: Eisenia fetida, Earthworms, Sublethal doses, Hexavalent chromium


References

  1. Burlinson, B., Tice, R.R., Speit, G., Agurell, E., Brendler-Schwaab, S.Y., Collins, A.R., Escobar, P., Honma, M., Kumaravel, T.S., Nakajima, M., Sasaki, Y.F., Thybaud, E., Uno, Y., Vasquez, M., Hartmann, A., 2007. Fourth international workgroup on genotoxicity testing: results of in vivo comet assay workgroup. Mutat. Res.

  2. Ching, E.W.K., Siu, W.H.L., Lam, P.K.S., Xu, L., Zhang, Y., Richardson, B.J., Wu, R.S.S., 2001. DNA adduct formation and DNA strand breaks in green-lipped mussels (Perna viridis) exposed to benzo[a]pyrene: dose- and time-dependent relationships. Mar. Pollut. Bull. 42, 603–610. Cotelle, S., Ferard, J.-F., 1999. Comet assay in genetic ecotoxicology: a review. Environ. Mol. Mutagen. 34, 246–255.

  3. Di Marzio, W.D., Saenz, M.E., Lemière, S., Vasseur, P., 2005. Improved single-cell gel electrophoresis assay for detecting DNA damage in Eisenia foetida. Environ. Mol. Mutagen. 46, 246–252. Fourie, F., Reinecke, S.A., Reinecke, A.J., 2007. The determination of earthworm species sensitivity differences to cadmium genotoxicity using the comet assay. Ecotoxicol. Environ. Saf. 67, 361–368. 

  4. Di Palma, L., Gueye, M.T., Petrucci, E., 2015. Hexavalent chromium reduction in contaminated soil : a comparison
    between ferrous sulfate and nanoscale zero-valent iron. J. Hazard Mater. 70–76.https://doi.org/10.1016/j.jhazmat.2014.07.058.

  5. Dong, H., Deng, J., Xie, Y., Zhang, C., Jiang, Z., Cheng, Y., Hou, K., Zeng, G., 2017.Stabilization of nanoscale
    zero-valent iron (nZVI) with modified biochar for Cr(VI)removal from aqueous solution. Journal of Hazardous Materials.
    Elsevier B.V.

  6. Inzunza, B., Orrego, R., Peñalosa, M., Gavilán, J.F., Barra, R., 2006. Analysis of CYP4501A1, PAHs metabolites in bile, and genotoxic damage in Oncorhynchus mykiss exposed to Biobío River sediments, Central Chile. Ecotoxicol. Environ. Saf. 65, 242–251. 

A Novel Deep Learning Algorithm to Calculate and Model the Age-Standardized COVID-19 Mortality Rate of a Subpopulation When Compared to a Standard Population

(*Please email us at info@jyem.org for the information on membership to get access to the full article.)

Abstract: 

Coronavirus disease -19 (COVID-19) has gained widespread interest in the field of mathematical epidemiology in order to inform the public on basic statistics surrounding COVID-19. However, the age-standardized mortality rates (ASMRs), which adjust age and population discrepancies between different regions by comparing a subpopulation to a standard population, have not been shown publicly. Usually, COVID-19 ASMRs have not been calculated due to the lengthy process required to calculate them; however, ASMRs for COVID-19 have occasionally been calculated, but their effectiveness have been hindered due to the use of a hand-written formula and graphical manual methods. My study involved the development of a deep learning algorithm to calculate ASMR and to instantly graph the ASMR of a subpopulation versus the crude mortality rate of the standard population. This algorithm was used to compare the ASMRs for COVID-19 in American states to the crude mortality rate of the standard population, America. In this study, the algorithm shows efficiency with a consistent runtime of time≤5seconds, within 95% confidence interval error bars among trials. ASMRs show statistically significant differences in expected COVID-19 deaths among most populations. There is at least 95% confidence (p≤0.05) that differences in ASMR are independent of age and population distributions. These findings suggest that there are more factors than just age discrepancy that affect COVID-19 mortality rates.

Keywords: COVID-19, Age-Standardization, Mortality Rate, Algorithm, Deep Learning


References

  1. Wang, D., Li, Z., & Liu, Y. (2020). An overview of the safety, clinical application and antiviral research of the COVID-19 therapeutics. Journal of Infection and Public Health. doi:10.1016/j.jiph.2020.07.004
  2. Brown, S. M., Doom, J. R., Lechuga-Peña, S., Watamura, S. E., & Koppels, T. (2020). Stress and parenting during the global COVID-19 pandemic. Child Abuse & Neglect. doi:10.1016/j.chiabu.2020.104699
  3. Overton, C. E., Stage, H. B., Ahmad, S., Curran-Sebastian, J., Dark, P., Das, R., . . . Webb, L. (2020). Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example. Infectious Disease Modelling, 5, 409-441. doi:10.1016/j.idm.2020.06.008
  4. Tiirinki, H., Tynkkynen, L., Sovala, M., Atkins, S., Koivusalo, M., Rautiainen, P., . . . Keskimäki, I. (2020). COVID-19 pandemic in Finland – preliminary analysis on health system response and economic consequences. Health Policy and Technology. doi:10.1016/j.hlpt.2020.08.005
  5. Russell, T. W., Hellewell, J., Jarvis, C. I., Zandvoort, K. V., Abbott, S., Ratnayake, R., . . . Kucharski, A. J. (2020). Estimating the infection and case fatality ratio for coronavirus disease (COVID-19) using age-adjusted data from the outbreak on the Diamond Princess cruise ship, February 2020. Eurosurveillance, 25(12). doi:10.2807/1560-7917.es.2020.25.12.2000256
  6. Bernardino, G., Benkarim, O., Garza, M. S., Prat-Gonzàlez, S., Sepulveda-Martinez, A., Crispi, F., . . . Ballester, M. A. (2020). Handling confounding variables in statistical shape analysis - application to cardiac remodelling. Medical Image Analysis, 65. doi:10.1016/j.media.2020.101792
  7. Xu, L., Polya, D. A., Li, Q., & Mondal, D. (2020). Association of low-level inorganic arsenic exposure from rice with age-standardized mortality risk of cardiovascular disease (CVD) in England and Wales. Science of The Total Environment, 743. doi:10.1016/j.scitotenv.2020.140534
  8. Shende, R., Gupta, G., & Macherla, S. (2019). Determination of an inflection point for a dosimetric analysis of unflattened beam using the first principle of derivatives by python code programming. Reports of Practical Oncology & Radiotherapy, 24(5), 432-442. doi:10.1016/j.rpor.2019.07.009
  9. Mohamed, M. O., Gale, C. P., Kontopantelis, E., Doran, T., Belder, M. D., Asaria, M., . . . Mamas, M. A. (2020). Sex-differences in mortality rates and underlying conditions for COVID-19 deaths in England and Wales. Mayo Clinic Proceedings. doi:10.1016/j.mayocp.2020.07.009
  10. Kavadi, D. P., Patan, R., Ramachandran, M., & Gandomi, A. H. (2020). Partial derivative Nonlinear Global Pandemic Machine Learning prediction of COVID 19. Chaos, Solitons & Fractals, 139. doi:10.1016/j.chaos.2020.110056
  11. Minicozzi, P., Cassetti, T., Vener, C., & Sant, M. (2018). Analysis of incidence, mortality and survival for pancreatic and biliary tract cancers across Europe, with assessment of influence of revised European age standardisation on estimates. Cancer Epidemiology, 55, 52-60. doi:10.1016/j.canep.2018.04.011
  12. Bosch, Jaume, et al. “Asynchronous Runtime with Distributed Manager for Task-Based Programming Models.” Parallel Computing, vol. 97, 2020, p. 102664., doi:10.1016/j.parco.2020.102664.
  13. Rodriguez-Diaz, Carlos E., et al. “Risk for COVID-19 Infection and Death among Latinos in the United States: Examining Heterogeneity in Transmission Dynamics.” Annals of Epidemiology, 23 July 2020, doi:10.1016/j.annepidem.2020.07.007.
  14. Wiemers, Emily, et al. “Disparities in Vulnerability to Severe Complications from COVID-19 in the United States.” Research in Social Stratification and Mobility, vol. 69, 2020, doi:10.3386/w27294.
  15. Etkin, Yana, et al. “Acute Arterial Thromboembolism in Patients with COVID-19 in the New York City Area.” Annals of Vascular Surgery, 28 Aug. 2020, doi:10.1016/j.avsg.2020.08.085.
  16. Centers for Disease Control and Prevention. www.cdc.gov/.
  17. 2020 World Population by Country, worldpopulationreview.com/

Impact of Mask Policies on Social and Psychological Consequences During the Covid-19 Pandemic


Abstract: COVID-19 has proven detrimental to the economy and changed the nature of social interactions. Governments at every level have increasingly required the use of face masks in public spaces. Evidence has shown that mandatory mask-wearing policies can effectively control the outbreak of the virus, protecting susceptible populations (i.e., individuals with preexisting conditions, and individuals 65 and older). Many communities encourage mask-wearing to reduce the chance of viral transmission. 

While mandatory mask policies appear to effectively reduce transmission of the virus, their long-term psychological effects are not yet known. In this study, we examine the association between the implementation of face mask mandates and detrimental psychological and social consequences as well as other relevant aspects. Also, this study tries to figure out if the mandatory mask policies are advisable, and if so, how it benefits the public. 

Keywords:  Mask policies, Social behavior, Psychological consequences, Covid-19, Face mask during the pandemic


References

  1. Detsky, A. S. and Bogoch, I. I. (2020, August 25). The Canadian Response To COVID-19. Retrieved from https://jamanetwork.com/journals/jama/fullarticle/276943

  2. Duan, L. and Zhu, G. (2020). Psychological interventions for people affected by the COVID-19 epidemic. Lancet. Psych. 7 300–302. 10.1016/s2215-0366(20)30073-

  3. Greenberg, N., Docherty, M., Gnanapragasam, S. and Wessely, S. (2020). Managing mental health challenges faced by healthcare workers during covid-19 pandemic. BMJ 368:m1211. 10.1136/bmj.m121

  4. Liu S., Yang L., Zhang C., Xiang Y. T., Liu Z., Hu S., et al. (2020). Online mental health services in China during the COVID-19 outbreak. Lancet. Psych. 7 E17–E18. 10.1016/S2215-0366(20)30077-

  5. Maheu, M. P., McMenamin, J. and Posen, L. (2012). Future of telepsychology, telehealth, and various technologies in psychological research and practice. Profess. Psychol. Res. Prac. 43 613–621. 10.1037/a0029458

  6. Parshley, L. and Zhou, Y. (2020, December 4). Why every state should adopt a mask mandate, in 4 charts. Retrieved from https://www.vox.com/science-and-health/21546014/mask-mandates-coronavirus-covid-19

  7. The Economist. (2020, October 14). Tracking covid-19 excess deaths across countries. Retrieved from https://www.economist.com/graphic-detail/coronavirus-excess-deaths-tracker

  8. The Economist. (2020, October 11). Covid-19 has led to a sharp increase in depression and anxiety. Retrieved from https://www.economist.com/graphic-detail/2021/10/11/covid-19-has-led-to-a-sharp-increase-in-depression-and-anxiety

  9. Wang, C. J., Chun, Y. and Brook, R. H. (2020, April 14). Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing. Retrieved October 18, 2020, from https://jamanetwork.com/journals/jama/fullarticle/2762689

  10. Zhou X., Snoswell C. L., Harding L. E. (2020). The Role of Telehealth in Reducing the Mental Health Burden from COVID-19. Telemed. E Health. 26 377–379. 10.1089/tmj.2020.0068