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Saban, M. E., and A. Kaheel, "Panoramic Video Construction from Mobile Video Streams", Mobile Cloud Visual Media Computing: Springer, Cham, pp. 61–83, 2015. Abstract
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Saban, M. E., and A. Kaheel, "Panoramic Video Construction from Mobile Video Streams", Mobile Cloud Visual Media Computing: Springer, Cham, pp. 61–83, 2015. Abstract
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Saban, M. E., and A. Kaheel, "Panoramic Video Construction from Mobile Video Streams", Mobile Cloud Visual Media Computing: Springer, Cham, pp. 61–83, 2015. Abstract
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Charfi, B., and M. A. Harith, "Panoramic laser-induced breakdown spectrometry of water", Spectrochimica Acta Part B: Atomic Spectroscopy, vol. 57, no. 7: Elsevier, pp. 1141–1153, 2002. Abstract
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Raey, L. E. A., A. A. Abdu, and D. A. Enaba, "panic attacks and suicidality in bipolar patients ", Middle East Current Psychiatry, 2014.
Mobasher, M., S. Moussa, L. El Raay, and Z. Halim, "Panic and Addiction: Comorbidity and Characterological Correlates ,", Egyptian Journal of Psychiatry, vol. 22, issue 2, pp. 91 – 102, 1998.
Abate, N., O. C. Abraham, P. Abraham, S. K. Acharya, A. O. Ada, L. Adhikari, T. Adhikari, S. K. Adiga, C. Adithan, G. Agarwal, et al., "Panel of Reviewers (2012)", Indian J Med Res, vol. 136, pp. 1167–1186, 2012. Abstract
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Attallah, A. M., M. S. Albannan, M. M. Omran, R. Zayed, S. Saif, A. Farid, M. Hassany, A. Yosry, and D. Omran, "A panel of a mitogenic (PDGF), biochemical (albumin) and demographic (age) parameters for the non-invasive assessment of hepatic fibrosis", Br J Biomed Sci., vol. 76, issue 3, pp. 105-110, 2019.
Gregory, S., and R. Bahgat, "Pandora: non-deterministic parallel logic programming", The 6th International Conference on Logic Programming, Lisbon-Portugal, pp. 471-486, 1986.
Bahgat, R., and S. Wahdan, "Pandora(FD): A Concurrent Constraint Logic Programming Language", In Proceedings of The Annual Conference on Statistics Computer Sciences and Operations Research, Institute of Statistical Studies and Research, Cairo-Egypt, 1999.
Bahgat, R., "The Pandora Deadlock handler Meta – Level Relation", The Third Workshop on MetaProgramming in Logic, Uppsala-Sweden, pp. 86-100, 1992.
Bahgat, R., "The Pandora Abstract Machine: an extension of JAM", The Pre-Conference Workshop of the 8th International Conference on Logic Programming, Paris, France, June, 1991. Abstract

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Zhang, X., M. Jiang, L. He, N. K. Niazi, M. Vithanage, B. Li, J. Wang, H. Abdelrahman, V. Antoniadis, J. Rinklebe, et al., "Pandemic COVID-19 ends but soil pollution increases: Impacts and a new approach for risk assessment", Science of The Total Environment, vol. 890, pp. 164070, 2023. AbstractWebsite

For three years, a large amount of manufactured pollutants such as plastics, antibiotics and disinfectants has been released into the environment due to COVID-19. The accumulation of these pollutants in the environment has exacerbated the damage to the soil system. However, since the epidemic outbreak, the focus of researchers and public attention has consistently been on human health. It is noteworthy that studies conducted in conjunction with soil pollution and COVID-19 represent only 4 % of all COVID-19 studies. In order to enhance researchers' and the public awareness of the seriousness on the COVID-19 derived soil pollution, we propose the viewpoint that “pandemic COVID-19 ends but soil pollution increases” and recommend a whole-cell biosensor based new method to assess the environmental risk of COVID-19 derived pollutants. This approach is expected to provide a new way for environmental risk assessment of soils affected by contaminants produced from the pandemic.

Brusaferri, L., Z. Alshelh, D. Martins, M. Kim, A. Weerasekera, H. Housman, E. J. Morrissey, P. C. Knight, K. A. Castro-Blanco, D. S. Albrecht, et al., "The pandemic brain: Neuroinflammation in non-infected individuals during the COVID-19 pandemic.", Brain, behavior, and immunity, vol. 102, pp. 89-97, 2022. Abstract

While COVID-19 research has seen an explosion in the literature, the impact of pandemic-related societal and lifestyle disruptions on brain health among the uninfected remains underexplored. However, a global increase in the prevalence of fatigue, brain fog, depression and other "sickness behavior"-like symptoms implicates a possible dysregulation in neuroimmune mechanisms even among those never infected by the virus. We compared fifty-seven 'Pre-Pandemic' and fifteen 'Pandemic' datasets from individuals originally enrolled as control subjects for various completed, or ongoing, research studies available in our records, with a confirmed negative test for SARS-CoV-2 antibodies. We used a combination of multimodal molecular brain imaging (simultaneous positron emission tomography / magnetic resonance spectroscopy), behavioral measurements, imaging transcriptomics and serum testing to uncover links between pandemic-related stressors and neuroinflammation. Healthy individuals examined after the enforcement of 2020 lockdown/stay-at-home measures demonstrated elevated brain levels of two independent neuroinflammatory markers (the 18 kDa translocator protein, TSPO, and myoinositol) compared to pre-lockdown subjects. The serum levels of two inflammatory markers (interleukin-16 and monocyte chemoattractant protein-1) were also elevated, although these effects did not reach statistical significance after correcting for multiple comparisons. Subjects endorsing higher symptom burden showed higher TSPO signal in the hippocampus (mood alteration, mental fatigue), intraparietal sulcus and precuneus (physical fatigue), compared to those reporting little/no symptoms. Post-lockdown TSPO signal changes were spatially aligned with the constitutive expression of several genes involved in immune/neuroimmune functions. This work implicates neuroimmune activation as a possible mechanism underlying the non-virally-mediated symptoms experienced by many during the COVID-19 pandemic. Future studies will be needed to corroborate and further interpret these preliminary findings.

Abdeltawab, M. H., and F. M. Mohamed, "Panda: A Predictive Spatio-Temporal Query Processor", ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL GIS, Redondo Beach, CA, USA, ACM, 2012. Abstractpanda_a_predictive_spatio-temporal___query_processor.pdf

This paper presents the Panda system for efficient support of a wide
variety of predictive spatio-temporal queries that are widely used in
several applications including traffic management, location-based
advertising, and ride sharing. Unlike previous attempts in supporting
predictive queries, Panda targets long-term query prediction as
it relies on adapting a well-designed long-term prediction function
to: (a) scale up to large number of moving objects, and (b) support
large number of predictive queries. As a means of scalability,
Panda smartly precomputes parts of the most frequent incoming
predictive queries, which significantly reduces the query response
time. Panda employs a tunable threshold that achieves a tradeoff
between query response time and the maintenance cost of precomptued
answers. Experimental results, based on large data sets,
show that Panda is scalable, efficient, and as accurate as its underlying
prediction function.

Hendawi, A. M., and M. N. M. F. Mokbel, "Panda: a predictive spatio-temporal query processor", International Conference on Advances in Geographic Information Systems, Redondo Beach, CA, USA, ACM, 2012. Abstract

This paper presents the Panda system for efficient support of a wide variety of predictive spatio-temporal queries that are widely used in several applications including traffic management, location-based advertising, and ride sharing. Unlike previous attempts in supporting predictive queries, Panda targets long-term query prediction as it relies on adapting a well-designed long-term prediction function to: (a) scale up to large number of moving objects, and (b) support large number of predictive queries. As a means of scalability, Panda smartly precomputes parts of the most frequent incoming predictive queries, which significantly reduces the query response time. Panda employs a tunable threshold that achieves a trade-off between query response time and the maintenance cost of precomptued answers. Experimental results, based on large data sets, show that Panda is scalable, efficient, and as accurate as its underlying prediction function.

Vijay, A., I. Noaman, A. Mahfouz, M. Khawar, H. Khalaf, and A. Elaffandi, "Pancreatico-enteric fistula post pancreatic duct ligation for delayed haemorrhage complicating pancreaticoduodenectomy.", International journal of surgery case reports, vol. 21, pp. 29-31, 2016. Abstract

INTRODUCTION: Pancreatic fistula remains the main cause for postoperative morbidity following pancreaticoduodenectomy. The coincidence of sentinel bleed prior to post pancreatectomy haemorrhage (PPH) and pancreatic fistula is associated with very high mortality.

PRESENTATION OF CASE: We report a case of pancreaticoduodenectomy complicated by postoperative leak and hematemesis. Severe delayed haemorrhage from the pancreatico-jejunostomy necessitated re-laparotomy and complete disconnection of the pancreatic anastomosis. Hemodynamic instability precluded a pancreatectomy or creation of a new anastomosis. A follow up MRI done 3 weeks after the patient's discharge demonstrated a fistulous tract causing a communication between both the pancreatic and biliary systems and the enteric loop.

DISCUSSION: Spontaneous development a pancreatico-enteric fistula despite ligation of the pancreatic duct and complete disconnection of the pancreatic anastomosis has never been reported in literature to date.

CONCLUSION: Pancreatic duct occlusion may be considered over a completion pancreatectomy or revisional pancreatic anastomosis in hemodynamically unstable and challenging cases.

Hussein, A., S. Shaker, D. N. Eldine, and M. A. ElKordy, "Pancreatic Pseudo-papillary tumor: NCI experience over 17 years", Medical science, vol. 24, issue 102, 2020.
Swanson, K. C., N. Kelly, H. Salim, Y. J. Wang, S. Holligan, M. Z. Fan, and B. W. McBride, "Pancreatic mass, cellularity, and α-amylase and trypsin activity in feedlot steers fed diets differing in crude protein concentration", Journal of animal science, vol. 86, issue 4: Oxford University Press, pp. 909-915, 2008. Abstract
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KHALIFA, N. A. G. A. T. M., N. O. H. A. A. B. E. L. SHAFY, O. Mokhtar, Y. A. H. I. A. LABAIB, and A. Y. M. A. N. A. B. D. E. L. M. MOTTELB, "Pancreatic Carcinoma: Role of Multislice Tripahsic CT in Assessement of Tumor Resectability, Prospective Study", The medical journal of Cairo University, vol. 81, issue 2, 2013. 1271-2466-1-sm.pdf
Elfeky, S. A., G. El-Ghannam, E. Sobeh, and H. S. Reda M.S. Korany, "Pancreas recovery in diabetic rats after low dose curcumin@ZnO nanoparticles oral treatment", Nanomed Res J, vol. 8, 2023.
Mahmoud, S. M., D. B. Al-Azhary, and A. A. E. Moneim, "Panax Ginseng Extract Ameliorates Disturbed Lipid Metabolism and Associated Thyroid Hormones in Sera of Alloxan-Induced Diabetic Rats", Life Science Journal, vol. 10, issue 1, pp. 1136- 1143, 2013. 7th_paper.pdf
Mahmoud, S. M., D. B. Al-Azhary, and A. A. E. Moneim, "Panax Ginseng Extract Ameliorates Disturbed Lipid Metabolism and Associated Thyroid Hormones in Sera of Alloxan-Induced Diabetic Rats", Life Science Journal, vol. 10, issue 1, pp. 1136- 1143, 2013. 7th_paper.pdf
Aldosari, M. S., S. A. Bohlega, M. A. Al-Jadid, M. S. El-Tamawy, M. A. Ramadan, Y. K. Mousali, A. T. Yaghmour, A. M. Kurdi, S. H. Koussa, S. N. Khamis, et al., "Pan-Arab consensus statement on the use of botulinum toxin type A in spasticity management.", Neurosciences (Riyadh, Saudi Arabia), vol. 12, issue 4, pp. 279-81, 2007 Oct. Abstract
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