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3. Sens-BERT: Enabling Transferability and Re-calibration of Calibration Models for Low-cost Sensors under Reference Measurements Scarcity

Author

Narayana, M V, Rachvarapu, Kranthi Kumar, Jalihal, Devendra, and M, Shiva Nagendra S

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

Low-cost sensors measurements are noisy, which limits large-scale adaptability in airquality monitoirng. Calibration is generally used to get good estimates of air quality measurements out from LCS. In order to do this, LCS sensors are typically co-located with reference stations for some duration. A calibration model is then developed to transfer the LCS sensor measurements to the reference station measurements. Existing works implement the calibration of LCS as an optimization problem in which a model is trained with the data obtained from real-time deployments; later, the trained model is employed to estimate the air quality measurements of that location. However, this approach is sensor-specific and location-specific and needs frequent re-calibration. The re-calibration also needs massive data like initial calibration, which is a cumbersome process in practical scenarios. To overcome these limitations, in this work, we propose Sens-BERT, a BERT-inspired learning approach to calibrate LCS, and it achieves the calibration in two phases: self-supervised pre-training and supervised fine-tuning. In the pre-training phase, we train Sens-BERT with only LCS data (without reference station observations) to learn the data distributional features and produce corresponding embeddings. We then use the Sens-BERT embeddings to learn a calibration model in the fine-tuning phase. Our proposed approach has many advantages over the previous works. Since the Sens-BERT learns the behaviour of the LCS, it can be transferable to any sensor of the same sensing principle without explicitly training on that sensor. It requires only LCS measurements in pre-training to learn the characters of LCS, thus enabling calibration even with a tiny amount of paired data in fine-tuning. We have exhaustively tested our approach with the Community Air Sensor Network (CAIRSENSE) data set, an open repository for LCS., Comment: 16

Published
2023
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6. Lockdown effects on air quality in megacities during the first and second waves of COVID-19 pandemic

Author

Giri, Aswin, Schäfer, Benjamin, Verma, Rulan, He, Hankun, Nagendra, S. M. Shiva, Khare, Mukesh, and Beck, Christian

Subjects
Physics - Physics and Society, Physics - Atmospheric and Oceanic Physics
Abstract

Air pollution is among the highest contributors to mortality worldwide, especially in urban areas. During spring 2020, many countries enacted social distancing measures in order to slow down the ongoing COVID-19 pandemic. A particularly drastic measure, the 'lockdown', urged people to stay at home and thereby prevent new COVID-19 infections during the first (2020) and second wave (2021) of the pandemic. In turn, it also reduced traffic and industrial activities. But how much did these lockdown measures improve air quality in large cities, and are there differences in how air quality was affected? Here, we analyse data from two megacities: London as an example for Europe and Delhi as an example for Asia. We consider data during first and second wave lockdowns and compare them to 2019 values. Overall, we find a reduction in almost all air pollutants with intriguing differences between the two cities except Delhi in 2021. In London, despite smaller average concentrations, we still observe high-pollutant states and an increased tendency towards extreme events (a higher kurtosis of the probability density during lockdown) during 2020 and low pollution levels during 2021. For Delhi, we observe a much stronger decrease of pollution concentrations, including high pollution states during 2020 and higher pollution levels in 2021. These results could help to design policies to improve long-term air quality in megacities., Comment: Open code available here https://osf.io/jfw7n/

Published
2020

7. The Human Paraoxonase 2: An Optimized Procedure for Refolding and Stabilization Facilitates Enzyme Analyses and a Proteomics Approach

Author

Eros A. Lampitella, Maria Marone, Nagendra S. K. Achanta, Elena Porzio, Francesco Trepiccione, and Giuseppe Manco

Subjects
paraoxonase, lactonase, enzyme kinetics, biofilm, quorum quenching, Organic chemistry, QD241-441
Abstract

The human paraoxonase 2 (PON2) is the oldest member of a small family of arylesterase and lactonase enzymes, representing the first line of defense against bacterial infections and having a major role in ROS-associated diseases such as cancer, cardiovascular diseases, neurodegeneration, and diabetes. Specific Post-Translational Modifications (PTMs) clustering nearby two residues corresponding to pon2 polymorphic sites and their impact on the catalytic activity are not yet fully understood. Thus, the goal of the present study was to develop an improved PON2 purification protocol to obtain a higher amount of protein suitable for in-depth biochemical studies and biotechnological applications. To this end, we also tested several compounds to stabilize the active monomeric form of the enzyme. Storing the enzyme at 4 °C with 30 mM Threalose had the best impact on the activity, which was preserved for at least 30 days. The catalytic parameters against the substrate 3-Oxo-dodecanoyl-Homoserine Lactone (3oxoC12-HSL) and the enzyme ability to interfere with the biofilm formation of Pseudomonas aeruginosa (PAO1) were determined, showing that the obtained enzyme is well suited for downstream applications. Finally, we used the purified rPON2 to detect, by the direct molecular fishing (DMF) method, new putative PON2 interactors from soluble extracts of HeLa cells.

Published
2024
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10. Dominance of open burning signatures in PM2.5 near coal plant should redefine pollutant priorities of India.

Author

Ray, Iravati, Mitra, Shoumick, Kayee, Jariya, Yuan, Shufang, Nagendra, S. M. Shiva, Wang, Xianfeng, and Das, Reshmi

Subjects
INCINERATION, COAL combustion, WASTE management, SOLID waste, BIOMASS burning
Abstract

India, heavily reliant on coal for power generation, has been a significant emitter of particulate matter (PM) bound lead (Pb) and other heavy metals. It is crucial to understand whether implementation of stricter norms in recent years have effectively reduced emissions from coal combustion. This study aims to investigate and quantify the primary sources of PM2.5 in an area housing a major lignite-fired power plant in South India using Pb isotopic compositions and elemental concentrations. Characteristic ratios such as V/Pb and Cu/Pb demonstrate negligible influence from coal combustion, and indicate that summer aerosols are influenced by open burning. In Pb triple-isotope space the PM2.5 aerosols plot away from coal, overlapping with open burning signatures. These indicate that the atmosphere is predominantly influenced by open burning of solid waste and biomass rather than coal combustion, suggesting a promising decrease in coal emissions. Bayesian mixing model demonstrates that solid waste & biomass burning is the largest anthropogenic contributor towards atmospheric Pb (up to 26%), even in a region of coal combustion and presence of medium and small-scale industries. The dominance of open burning as a pollution source in the vicinity of a lignite fired power plant highlights the necessity for better waste management strategies. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Air pollution perception for air quality management: a systematic review exploring research themes and future perspectives

Author

Aswin Giri J and Shiva Nagendra S M

Subjects
perception, air pollution, health risk perception, sentiment analysis, complaint analysis, perception index, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999
Abstract

Air pollution is perceived through sensory stimuli and interpreted by our brain. Perception is highly subjective and varies from person to person. As many direct and indirect factors influence air pollution perception, it is difficult to unearth the underlying mechanisms. Many studies have tried to understand the mechanisms and relations affecting perception, and it is important to evaluate those different approaches. We systematically reviewed 104 studies on air pollution perception, following the preferred reporting items for systematic reviews and meta-analyses guidelines. There is a difference between the public’s subjective perception and objective air quality measurements. This discrepancy has been found to occur due to varied socio-economic characteristics, knowledge, emotions, etc. The advent of social media and the internet has had a significant effect on risk perception. All these influencing factors create differences between the public’s perception and the scientific community/policymakers. This gap can be fixed by tailoring science-backed information for better communication. Based on past studies, we highlight the need for tailored data dissemination, integration of big data for urban management, development of robust frameworks to incorporate perception and use of a perception index for better communication.

Published
2024
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18. Safety and Outcome of Revascularization Treatment in Patients With Acute Ischemic Stroke and COVID-19

Author

Marto, J, Strambo, D, Ntaios, G, Nguyen, T, Herzig, R, Czlonkowska, A, Demeestere, J, Mansour, O, Salerno, A, Wegener, S, Baumgartner, P, Cereda, C, Bianco, G, Beyeler, M, Arnold, M, Carrera, E, Machi, P, Altersberger, V, Bonati, L, Gensicke, H, Bolognese, M, Peters, N, Wetzel, S, Magrico, M, Ramos, J, Sargento-Freitas, J, Machado, R, Maia, C, Machado, E, Nunes, A, Ferreira, P, Pinho E Melo, T, Dias, M, Paula, A, Correia, M, Castro, P, Azevedo, E, Albuquerque, L, Alves, J, Ferreira-Pinto, J, Meira, T, Pereira, L, Rodrigues, M, Araujo, A, Rocha, M, Pereira-Fonseca, A, Ribeiro, L, Varela, R, Malheiro, S, Cappellari, M, Zivelonghi, C, Sajeva, G, Zini, A, Gentile, M, Forlivesi, S, Migliaccio, L, Sessa, M, La Gioia, S, Pezzini, A, Sangalli, D, Zedde, M, Pascarella, R, Ferrarese, C, Beretta, S, Diamanti, S, Schwarz, G, Frisullo, G, Marcheselli, S, Seners, P, Sabben, C, Escalard, S, Piotin, M, Maier, B, Charbonnier, G, Vuillier, F, Legris, L, Cuisenier, P, Vodret, F, Marnat, G, Liegey, J, Sibon, I, Flottmann, F, Broocks, G, Gloyer, N, Bohmann, F, Schaefer, J, Nolte, C, Audebert, H, Siebert, E, Sykora, M, Lang, W, Ferrari, J, Mayer-Suess, L, Knoflach, M, Gizewski, E, Stolp, J, Stolze, L, Coutinho, J, Nederkoorn, P, Van Den Wijngaard, I, De Meris, J, Lemmens, R, De Raedt, S, Vandervorst, F, Rutgers, M, Guilmot, A, Dusart, A, Bellante, F, Calleja-Castano, P, Ostos, F, Gonzalez-Ortega, G, Martin-Jimenez, P, Garcia-Madrona, S, Cruz-Culebras, A, Vera, R, Matute, M, Fuentes, B, Alonso-De-Lecinana, M, Rigual, R, Diez-Tejedor, E, Perez-Sanchez, S, Montaner, J, Diaz-Otero, F, Perez-De-La-Ossa, N, Flores-Pina, B, Munoz-Narbona, L, Chamorro, A, Rodriguez-Vazquez, A, Renu, A, Ayo-Martin, O, Hernandez-Fernandez, F, Segura, T, Tejada-Meza, H, Sagarra-Mur, D, Serrano-Ponz, M, Hlaing, T, See, I, Simister, R, Werring, D, Kristoffersen, E, Nordanstig, A, Jood, K, Rentzos, A, Simunek, L, Krajickova, D, Krajina, A, Mikulik, R, Cvikova, M, Vinklarek, J, Skoloudik, D, Roubec, M, Hurtikova, E, Hruby, R, Ostry, S, Skoda, O, Pernicka, M, Jurak, L, Eichlova, Z, Jira, M, Kovar, M, Pansky, M, Mencl, P, Palouskova, H, Tomek, A, Jansky, P, Olserova, A, Sramek, M, Havlicek, R, Maly, P, Trakal, L, Fiksa, J, Slovak, M, Karlinski, M, Nowak, M, Sienkiewicz-Jarosz, H, Bochynska, A, Wrona, P, Homa, T, Sawczynska, K, Slowik, A, Wlodarczyk, E, Wiacek, M, Tomaszewska-Lampart, I, Sieczkowski, B, Bartosik-Psujek, H, Bilik, M, Bandzarewicz, A, Dorobek, M, Zielinska-Turek, J, Nowakowska-Kotas, M, Obara, K, Urbanowski, P, Budrewicz, S, Guzinski, M, Switonska, M, Rutkowska, I, Sobieszak-Skura, P, Labuz-Roszak, B, Debiec, A, Staszewski, J, Stepien, A, Zwiernik, J, Wasilewski, G, Tiu, C, Terecoasa, E, Radu, R, Negrila, A, Dorobat, B, Panea, C, Tiu, V, Petrescu, S, Ozdemir, A, Mahmoud, M, El-Samahy, H, Abdelkhalek, H, Al-Hashel, J, Ismail, I, Salmeen, A, Ghoreishi, A, Sabetay, S, Gross, H, Klein, P, Abdalkader, M, Jabbour, P, El Naamani, K, Tjoumakaris, S, Abbas, R, Mohamed, G, Chebl, A, Min, J, Hovingh, M, Tsai, J, Khan, M, Nalleballe, K, Onteddu, S, Masoud, H, Michael, M, Kaur, N, Maali, L, Abraham, M, Khandelwal, P, Bach, I, Ong, M, Babici, D, Khawaja, A, Hakemi, M, Rajamani, K, Cano-Nigenda, V, Arauz, A, Amaya, P, Llanos, N, Arango, A, Vences, M, Barrientos Guerra, J, Caetano, R, Martins, R, Scollo, S, Yalung, P, Nagendra, S, Gaikwad, A, Seo, K, Georgiopoulos, G, Nogueira, R, Michel, P, Marto J. P., Strambo D., Ntaios G., Nguyen T. N., Herzig R., Czlonkowska A., Demeestere J., Mansour O. Y., Salerno A., Wegener S., Baumgartner P., Cereda C. W., Bianco G., Beyeler M., Arnold M., Carrera E., Machi P., Altersberger V., Bonati L., Gensicke H., Bolognese M., Peters N., Wetzel S., Magrico M., Ramos J. N., Sargento-Freitas J., Machado R., Maia C., Machado E., Nunes A. P., Ferreira P., Pinho E Melo T., Dias M. C., Paula A., Correia M. A., Castro P., Azevedo E., Albuquerque L., Alves J. N., Ferreira-Pinto J., Meira T., Pereira L., Rodrigues M., Araujo A. P., Rocha M., Pereira-Fonseca A., Ribeiro L., Varela R., Malheiro S., Cappellari M., Zivelonghi C., Sajeva G., Zini A., Gentile M., Forlivesi S., Migliaccio L., Sessa M., La Gioia S., Pezzini A., Sangalli D., Zedde M., Pascarella R., Ferrarese C., Beretta S., Diamanti S., Schwarz G., Frisullo G., Marcheselli S., Seners P., Sabben C., Escalard S., Piotin M., Maier B., Charbonnier G., Vuillier F., Legris L., Cuisenier P., Vodret F. R., Marnat G., Liegey J. -S., Sibon I., Flottmann F., Broocks G., Gloyer N. -O., Bohmann F. O., Schaefer J. H., Nolte C., Audebert H. J., Siebert E., Sykora M., Lang W., Ferrari J., Mayer-Suess L., Knoflach M., Gizewski E. R., Stolp J., Stolze L. J., Coutinho J. M., Nederkoorn P., Van Den Wijngaard I., De Meris J., Lemmens R., De Raedt S., Vandervorst F., Rutgers M. P., Guilmot A., Dusart A., Bellante F., Calleja-Castano P., Ostos F., Gonzalez-Ortega G., Martin-Jimenez P., Garcia-Madrona S., Cruz-Culebras A., Vera R., Matute M. C., Fuentes B., Alonso-De-Lecinana M., Rigual R., Diez-Tejedor E., Perez-Sanchez S., Montaner J., Diaz-Otero F., Perez-De-La-Ossa N., Flores-Pina B., Munoz-Narbona L., Chamorro A., Rodriguez-Vazquez A., Renu A., Ayo-Martin O., Hernandez-Fernandez F., Segura T., Tejada-Meza H., Sagarra-Mur D., Serrano-Ponz M., Hlaing T., See I., Simister R., Werring D., Kristoffersen E. S., Nordanstig A., Jood K., Rentzos A., Simunek L., Krajickova D., Krajina A., Mikulik R., Cvikova M., Vinklarek J., Skoloudik D., Roubec M., Hurtikova E., Hruby R., Ostry S., Skoda O., Pernicka M., Jurak L., Eichlova Z., Jira M., Kovar M., Pansky M., Mencl P., Palouskova H., Tomek A., Jansky P., Olserova A., Sramek M., Havlicek R., Maly P., Trakal L., Fiksa J., Slovak M., Karlinski M. A., Nowak M., Sienkiewicz-Jarosz H., Bochynska A., Wrona P., Homa T., Sawczynska K., Slowik A., Wlodarczyk E., Wiacek M., Tomaszewska-Lampart I., Sieczkowski B., Bartosik-Psujek H., Bilik M., Bandzarewicz A., Dorobek M., Zielinska-Turek J., Nowakowska-Kotas M., Obara K., Urbanowski P., Budrewicz S., Guzinski M., Switonska M., Rutkowska I., Sobieszak-Skura P., Labuz-Roszak B. M., Debiec A., Staszewski J., Stepien A., Zwiernik J., Wasilewski G., Tiu C., Terecoasa E. O., Radu R. A., Negrila A., Dorobat B., Panea C., Tiu V., Petrescu S., Ozdemir A., Mahmoud M., El-Samahy H., Abdelkhalek H., Al-Hashel J., Ismail I. I., Salmeen A., Ghoreishi A., Sabetay S. I., Gross H., Klein P., Abdalkader M., Jabbour P., El Naamani K., Tjoumakaris S., Abbas R., Mohamed G. A., Chebl A., Min J., Hovingh M., Tsai J. P., Khan M., Nalleballe K., Onteddu S., Masoud H., Michael M., Kaur N., Maali L., Abraham M. G., Khandelwal P., Bach I., Ong M., Babici D., Khawaja A. M., Hakemi M., Rajamani K., Cano-Nigenda V., Arauz A., Amaya P., Llanos N., Arango A., Vences M. A., Barrientos Guerra J. D., Caetano R., Martins R. T., Scollo S. D., Yalung P. M., Nagendra S., Gaikwad A., Seo K. -D., Georgiopoulos G., Nogueira R. G., Michel P., Marto, J, Strambo, D, Ntaios, G, Nguyen, T, Herzig, R, Czlonkowska, A, Demeestere, J, Mansour, O, Salerno, A, Wegener, S, Baumgartner, P, Cereda, C, Bianco, G, Beyeler, M, Arnold, M, Carrera, E, Machi, P, Altersberger, V, Bonati, L, Gensicke, H, Bolognese, M, Peters, N, Wetzel, S, Magrico, M, Ramos, J, Sargento-Freitas, J, Machado, R, Maia, C, Machado, E, Nunes, A, Ferreira, P, Pinho E Melo, T, Dias, M, Paula, A, Correia, M, Castro, P, Azevedo, E, Albuquerque, L, Alves, J, Ferreira-Pinto, J, Meira, T, Pereira, L, Rodrigues, M, Araujo, A, Rocha, M, Pereira-Fonseca, A, Ribeiro, L, Varela, R, Malheiro, S, Cappellari, M, Zivelonghi, C, Sajeva, G, Zini, A, Gentile, M, Forlivesi, S, Migliaccio, L, Sessa, M, La Gioia, S, Pezzini, A, Sangalli, D, Zedde, M, Pascarella, R, Ferrarese, C, Beretta, S, Diamanti, S, Schwarz, G, Frisullo, G, Marcheselli, S, Seners, P, Sabben, C, Escalard, S, Piotin, M, Maier, B, Charbonnier, G, Vuillier, F, Legris, L, Cuisenier, P, Vodret, F, Marnat, G, Liegey, J, Sibon, I, Flottmann, F, Broocks, G, Gloyer, N, Bohmann, F, Schaefer, J, Nolte, C, Audebert, H, Siebert, E, Sykora, M, Lang, W, Ferrari, J, Mayer-Suess, L, Knoflach, M, Gizewski, E, Stolp, J, Stolze, L, Coutinho, J, Nederkoorn, P, Van Den Wijngaard, I, De Meris, J, Lemmens, R, De Raedt, S, Vandervorst, F, Rutgers, M, Guilmot, A, Dusart, A, Bellante, F, Calleja-Castano, P, Ostos, F, Gonzalez-Ortega, G, Martin-Jimenez, P, Garcia-Madrona, S, Cruz-Culebras, A, Vera, R, Matute, M, Fuentes, B, Alonso-De-Lecinana, M, Rigual, R, Diez-Tejedor, E, Perez-Sanchez, S, Montaner, J, Diaz-Otero, F, Perez-De-La-Ossa, N, Flores-Pina, B, Munoz-Narbona, L, Chamorro, A, Rodriguez-Vazquez, A, Renu, A, Ayo-Martin, O, Hernandez-Fernandez, F, Segura, T, Tejada-Meza, H, Sagarra-Mur, D, Serrano-Ponz, M, Hlaing, T, See, I, Simister, R, Werring, D, Kristoffersen, E, Nordanstig, A, Jood, K, Rentzos, A, Simunek, L, Krajickova, D, Krajina, A, Mikulik, R, Cvikova, M, Vinklarek, J, Skoloudik, D, Roubec, M, Hurtikova, E, Hruby, R, Ostry, S, Skoda, O, Pernicka, M, Jurak, L, Eichlova, Z, Jira, M, Kovar, M, Pansky, M, Mencl, P, Palouskova, H, Tomek, A, Jansky, P, Olserova, A, Sramek, M, Havlicek, R, Maly, P, Trakal, L, Fiksa, J, Slovak, M, Karlinski, M, Nowak, M, Sienkiewicz-Jarosz, H, Bochynska, A, Wrona, P, Homa, T, Sawczynska, K, Slowik, A, Wlodarczyk, E, Wiacek, M, Tomaszewska-Lampart, I, Sieczkowski, B, Bartosik-Psujek, H, Bilik, M, Bandzarewicz, A, Dorobek, M, Zielinska-Turek, J, Nowakowska-Kotas, M, Obara, K, Urbanowski, P, Budrewicz, S, Guzinski, M, Switonska, M, Rutkowska, I, Sobieszak-Skura, P, Labuz-Roszak, B, Debiec, A, Staszewski, J, Stepien, A, Zwiernik, J, Wasilewski, G, Tiu, C, Terecoasa, E, Radu, R, Negrila, A, Dorobat, B, Panea, C, Tiu, V, Petrescu, S, Ozdemir, A, Mahmoud, M, El-Samahy, H, Abdelkhalek, H, Al-Hashel, J, Ismail, I, Salmeen, A, Ghoreishi, A, Sabetay, S, Gross, H, Klein, P, Abdalkader, M, Jabbour, P, El Naamani, K, Tjoumakaris, S, Abbas, R, Mohamed, G, Chebl, A, Min, J, Hovingh, M, Tsai, J, Khan, M, Nalleballe, K, Onteddu, S, Masoud, H, Michael, M, Kaur, N, Maali, L, Abraham, M, Khandelwal, P, Bach, I, Ong, M, Babici, D, Khawaja, A, Hakemi, M, Rajamani, K, Cano-Nigenda, V, Arauz, A, Amaya, P, Llanos, N, Arango, A, Vences, M, Barrientos Guerra, J, Caetano, R, Martins, R, Scollo, S, Yalung, P, Nagendra, S, Gaikwad, A, Seo, K, Georgiopoulos, G, Nogueira, R, Michel, P, Marto J. P., Strambo D., Ntaios G., Nguyen T. N., Herzig R., Czlonkowska A., Demeestere J., Mansour O. Y., Salerno A., Wegener S., Baumgartner P., Cereda C. W., Bianco G., Beyeler M., Arnold M., Carrera E., Machi P., Altersberger V., Bonati L., Gensicke H., Bolognese M., Peters N., Wetzel S., Magrico M., Ramos J. N., Sargento-Freitas J., Machado R., Maia C., Machado E., Nunes A. P., Ferreira P., Pinho E Melo T., Dias M. C., Paula A., Correia M. A., Castro P., Azevedo E., Albuquerque L., Alves J. N., Ferreira-Pinto J., Meira T., Pereira L., Rodrigues M., Araujo A. P., Rocha M., Pereira-Fonseca A., Ribeiro L., Varela R., Malheiro S., Cappellari M., Zivelonghi C., Sajeva G., Zini A., Gentile M., Forlivesi S., Migliaccio L., Sessa M., La Gioia S., Pezzini A., Sangalli D., Zedde M., Pascarella R., Ferrarese C., Beretta S., Diamanti S., Schwarz G., Frisullo G., Marcheselli S., Seners P., Sabben C., Escalard S., Piotin M., Maier B., Charbonnier G., Vuillier F., Legris L., Cuisenier P., Vodret F. R., Marnat G., Liegey J. -S., Sibon I., Flottmann F., Broocks G., Gloyer N. -O., Bohmann F. O., Schaefer J. H., Nolte C., Audebert H. J., Siebert E., Sykora M., Lang W., Ferrari J., Mayer-Suess L., Knoflach M., Gizewski E. R., Stolp J., Stolze L. J., Coutinho J. M., Nederkoorn P., Van Den Wijngaard I., De Meris J., Lemmens R., De Raedt S., Vandervorst F., Rutgers M. P., Guilmot A., Dusart A., Bellante F., Calleja-Castano P., Ostos F., Gonzalez-Ortega G., Martin-Jimenez P., Garcia-Madrona S., Cruz-Culebras A., Vera R., Matute M. C., Fuentes B., Alonso-De-Lecinana M., Rigual R., Diez-Tejedor E., Perez-Sanchez S., Montaner J., Diaz-Otero F., Perez-De-La-Ossa N., Flores-Pina B., Munoz-Narbona L., Chamorro A., Rodriguez-Vazquez A., Renu A., Ayo-Martin O., Hernandez-Fernandez F., Segura T., Tejada-Meza H., Sagarra-Mur D., Serrano-Ponz M., Hlaing T., See I., Simister R., Werring D., Kristoffersen E. S., Nordanstig A., Jood K., Rentzos A., Simunek L., Krajickova D., Krajina A., Mikulik R., Cvikova M., Vinklarek J., Skoloudik D., Roubec M., Hurtikova E., Hruby R., Ostry S., Skoda O., Pernicka M., Jurak L., Eichlova Z., Jira M., Kovar M., Pansky M., Mencl P., Palouskova H., Tomek A., Jansky P., Olserova A., Sramek M., Havlicek R., Maly P., Trakal L., Fiksa J., Slovak M., Karlinski M. A., Nowak M., Sienkiewicz-Jarosz H., Bochynska A., Wrona P., Homa T., Sawczynska K., Slowik A., Wlodarczyk E., Wiacek M., Tomaszewska-Lampart I., Sieczkowski B., Bartosik-Psujek H., Bilik M., Bandzarewicz A., Dorobek M., Zielinska-Turek J., Nowakowska-Kotas M., Obara K., Urbanowski P., Budrewicz S., Guzinski M., Switonska M., Rutkowska I., Sobieszak-Skura P., Labuz-Roszak B. M., Debiec A., Staszewski J., Stepien A., Zwiernik J., Wasilewski G., Tiu C., Terecoasa E. O., Radu R. A., Negrila A., Dorobat B., Panea C., Tiu V., Petrescu S., Ozdemir A., Mahmoud M., El-Samahy H., Abdelkhalek H., Al-Hashel J., Ismail I. I., Salmeen A., Ghoreishi A., Sabetay S. I., Gross H., Klein P., Abdalkader M., Jabbour P., El Naamani K., Tjoumakaris S., Abbas R., Mohamed G. A., Chebl A., Min J., Hovingh M., Tsai J. P., Khan M., Nalleballe K., Onteddu S., Masoud H., Michael M., Kaur N., Maali L., Abraham M. G., Khandelwal P., Bach I., Ong M., Babici D., Khawaja A. M., Hakemi M., Rajamani K., Cano-Nigenda V., Arauz A., Amaya P., Llanos N., Arango A., Vences M. A., Barrientos Guerra J. D., Caetano R., Martins R. T., Scollo S. D., Yalung P. M., Nagendra S., Gaikwad A., Seo K. -D., Georgiopoulos G., Nogueira R. G., and Michel P.

Abstract

Background and Objectives COVID-19–related inflammation, endothelial dysfunction, and coagulopathy may increase the bleeding risk and lower the efficacy of revascularization treatments in patients with acute ischemic stroke (AIS). We aimed to evaluate the safety and outcomes of revascularization treatments in patients with AIS and COVID-19. Methods This was a retrospective multicenter cohort study of consecutive patients with AIS receiving intravenous thrombolysis (IVT) and/or endovascular treatment (EVT) between March 2020 and June 2021 tested for severe acute respiratory syndrome coronavirus 2 infection. With a doubly robust model combining propensity score weighting and multivariate regression, we studied the association of COVID-19 with intracranial bleeding complications and clinical outcomes. Subgroup analyses were performed according to treatment groups (IVT-only and EVT). Results Of a total of 15,128 included patients from 105 centers, 853 (5.6%) were diagnosed with COVID-19; of those, 5,848 (38.7%) patients received IVT-only and 9,280 (61.3%) EVT (with or without IVT). Patients with COVID-19 had a higher rate of symptomatic intracerebral hemorrhage (SICH) (adjusted OR 1.53; 95% CI 1.16–2.01), symptomatic subarachnoid hemorrhage (SSAH) (OR 1.80; 95% CI 1.20–2.69), SICH and/or SSAH combined (OR 1.56; 95% CI 1.23–1.99), 24-hour mortality (OR 2.47; 95% CI 1.58–3.86), and 3-month mortality (OR 1.88; 95% CI 1.52–2.33). Patients with COVID-19 also had an unfavorable shift in the distribution of the modified Rankin score at 3 months (OR 1.42; 95% CI 1.26–1.60). Discussion Patients with AIS and COVID-19 showed higher rates of intracranial bleeding complications and worse clinical outcomes after revascularization treatments than contemporaneous non–COVID-19 patients receiving treatment. Current available data do not allow direct conclusions to be drawn on the effectiveness of revascularization treatments in patients with COVID-19 or to establish different treatment r

Published
2023

19. Control of exhaust emissions using piston coating on two-stroke SI engines with gasoline blends

Author

Kiran A. V. N. S., Ramanjaneyulu B., Lokanath M., Nagendra S., and Balachander G. E.

Subjects
brake thermal efficiency, mg-psz, exhaust emissions, gasoline blends, specific fuel consumption, Engineering (General). Civil engineering (General), TA1-2040
Abstract

An increase in fuel utilization to internal combustion engines, variation in gasoline price, reduction of the fossil fuels and natural resources, needs less carbon content in fuel to find an alternative fuel. This paper presents a comparative study of various gasoline blends in a single-cylinder two-stroke SI engine. The present experimental investigation with gasoline blends of butanol and propanol and magnesium partially stabilized zirconium (Mg-PSZ) as thermal barrier coating on piston crown of 100 µm. The samples of gasoline blends were blended with petrol in 1:4 ratios: 20 % of butanol and 80 % of gasoline; 20 % of propanol and 80 % of gasoline. In this work, the following engine characteristics of brake thermal efficiency (BTH), specific fuel consumption (SFC), HC, and CO emissions were measured for both coated and non-coated pistons. Experiments have shown that the thermal efficiency is increased by 2.2 % at P20. The specific fuel consumption is minimized by 2.2 % at P20. Exhaust emissions are minimized by 2.0 % of HC and 2.4 % of CO at B20. The results strongly indicate that the combination of thermal barrier coatings and gasoline blends can improve engine performance and reduce exhaust emissions.

Published
2021
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22. Quantification of Execution and Emission Efficiency of a Fueled Diesel Engine

Author

Nagendra S., Santosh Kumar B., Kiran A. V. N. S., Ramanjaneyalu C., and Nagamani K.

Subjects
water-cooled diesel engine, emission character, cottonseed oil, sustainable fuel, Engineering (General). Civil engineering (General), TA1-2040
Abstract

A significant portion of the automobile and industrial sector is mostly dependent on the running of diesel engines as it is efficient and shifts a large of the goods around the globe and power various equipment. Also, as the use of energy as diesel fuel is increasing enormously with the expansion of industrial growth, diversification, this led to the accelerating global emissions, global climatic change, health issues, and exhaustion of fuels. To succumb this, alternative fuel is needed to fight against the ill effects and as a replacement to diesel fuel. Thus, vegetable oils as alternative fuels are drawing more attention as they are renewable and do not address the problem of greenhouse gas. In the present work, the cottonseed oil was chosen as the favorite among the vegetable oils due to its advantages like less pollutant level, excessive availability, etc. The transesterification process was used to produce the cottonseed oil biodiesel. This research aims to investigate efficiency, emission characteristics by using smooth diesel, cottonseed oil, and mixtures with varying composition from 20 % to 80 % in 20 % steps to identify sustainable fuel as a substitute for existing fuel and to overcome fuel demand and enviro effects. This test was conducted on single-cylinder four-stroke water-cooled diesel engines. From the results, it was revealed that cottonseed oil and its blends have a significant influence on performance and emission characters.

Published
2020
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25. On Calibration of Mobile Low-cost Sensors for Urban Air Quality Monitoring

Author

Aswin Giri, Shiva Nagendra S M, Devendra Jalihal, and Mannam V Narayana

Abstract

In vehicular mobility applications, sensor devices are exposed to rapidly varying concentrations of pollutants. Therefore, more than a conventional data set containing features such as sensor output, temperature and humidity is required to calibrate mobile sensors. We propose a new data set having additional features to address possible error sources encountered in vehicular-mobility LCS applications. We show that the proposed data set is a better choice for calibrating mobile LCS devices when compared to the conventional data set. Further, we propose and investigate two different tandem configurations involving a two-phase calibration approach to improve the calibration accuracy of mobile sensors. The calibration is done with real-time data obtained from an LCS device, SensurAir, which we developed and deployed in Chennai, India.

Published
2023
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27. Sleep Disorders Associated With Alzheimer's Disease: A Perspective

Author

Anna Brzecka, Jerzy Leszek, Ghulam Md Ashraf, Maria Ejma, Marco F. Ávila-Rodriguez, Nagendra S. Yarla, Vadim V. Tarasov, Vladimir N. Chubarev, Anna N. Samsonova, George E. Barreto, and Gjumrakch Aliev

Subjects
AD, diagnosis, sleep disorders, disturbance, sleep-rhythm, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Sleep disturbances, as well as sleep-wake rhythm disturbances, are typical symptoms of Alzheimer's disease (AD) that may precede the other clinical signs of this neurodegenerative disease. Here, we describe clinical features of sleep disorders in AD and the relation between sleep disorders and both cognitive impairment and poor prognosis of the disease. There are difficulties of the diagnosis of sleep disorders based on sleep questionnaires, polysomnography or actigraphy in the AD patients. Typical disturbances of the neurophysiological sleep architecture in the course of the AD include deep sleep and paradoxical sleep deprivation. Among sleep disorders occurring in patients with AD, the most frequent disorders are sleep breathing disorders and restless legs syndrome. Sleep disorders may influence circadian fluctuations of the concentrations of amyloid-β in the interstitial brain fluid and in the cerebrovascular fluid related to the glymphatic brain system and production of the amyloid-β. There is accumulating evidence suggesting that disordered sleep contributes to cognitive decline and the development of AD pathology. In this mini-review, we highlight and discuss the association between sleep disorders and AD.

Published
2018
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30. Plasma Zinc Levels, Lipid Profile Parameters and CVD Risk Markers in Relation to Glycemic Status in T2 DM Patients

Author

Nagendra S, Aman James, and Lata Telang

Subjects
medicine.medical_specialty, medicine.diagnostic_test, business.industry, Cvd risk, Energy metabolism, chemistry.chemical_element, Zinc, medicine.disease, Levels lipid, Endocrinology, chemistry, Diabetes mellitus, Internal medicine, Medicine, business, Lipid profile, Plasma zinc, Glycemic
Abstract

Background: Diabetes is global endemic rapidly increasing in both developed and developing countries and is a common secondary cause of hyperlipidaemia in T2DM patients. Diabetic- dyslipidemic patients exhibit atherogenic lipid profile, which greatly increases their CVD risk. Zinc, essential trace element, has significant function in energy metabolism and has been shown to serve a regulatory role in insulin signalling pathway and in supporting structural integrity of endothelial cells. A study designed to assess the plasma zinc status in t2 dm patients and to correlate zinc levels with lipid parameters, CVD markers as well as with glycemic status. Methods: The t2dm patients in the age group 30-60 years were randomly selected and were sub-grouped age wise, glycemic status-wise and diabetic duration-wise. Fasting Glucose, lipid parameters and zinc were estimated and atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), and Cardiac Risk Ratio (CRR) were calculated. Results: The results shows levels of glucose, lipid parameters, AIP, AC and CRR are significantly elevated whereas the levels of HDLC and zinc are significantly lowered in t2dm patients and the rises as well as the fall in HDLC and zinc are proportional to glycemic status. Conclusion: It can be concluded from the present study that zinc levels are lower in t2dm patients and is reciprocally related to glycemic status as well as to the diabetic duration. Further the rise in CVD markers is directly proportional to the glycemic status but inversely related to CVD markers. Keywords: t2dm, CVD markers, glycemic status, zinc.

Published
2021
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31. NMDAR inhibition-independent antidepressant actions of ketamine metabolites

Author

Zanos, Panos, Moaddel, Ruin, Morris, Patrick J., Georgiou, Polymnia, Fischell, Jonathan, Elmer, Greg I., Alkondon, Manickavasagom, Yuan, Peixiong, Pribut, Heather J., Singh, Nagendra S., Dossou, Katina S.S., Fang, Yuhong, Huang, Xi-Ping, Mayo, Cheryl L., Wainer, Irving W., Alburqueque, Edson X., and Thompson, Scott M.

Subjects
Methyl aspartate -- Physiological aspects, Ketamine -- Physiological aspects, Antidepressants -- Physiological aspects, Metabolites -- Physiological aspects, Cell receptors -- Physiological aspects, Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Major depressive disorder affects around 16 per cent of the world population at some point in their lives. Despite the availability of numerous monoaminergic-based antidepressants, most patients require several weeks, if not months, to respond to these treatments, and many patients never attain sustained remission of their symptoms. The non-competitive, glutamatergic NMDAR (N-methyl-d-aspartate receptor) antagonist (R,S)-ketamine exerts rapid and sustained antidepressant effects after a single dose in patients with depression, but its use is associated with undesirable side effects. Here we show that the metabolism of (R,S)-ketamine to (2S,6S;2R,6R)-hydroxynorketamine (HNK) is essential for its antidepressant effects, and that the (2R,6R)-HNK enantiomer exerts behavioural, electroencephalographic, electrophysiological and cellular antidepressant-related actions in mice. These antidepressant actions are independent of NMDAR inhibition but involve early and sustained activation of AMPARs ([alpha]-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptors). We also establish that (2R,6R)-HNK lacks ketamine-related side effects. Our data implicate a novel mechanism underlying the antidepressant properties of (R,S)-ketamine and have relevance for the development of next-generation, rapid-acting antidepressants. The metabolism of ketamine to (2S,6S;2R,6R)-hydroxynorketamine (HNK) is essential for its antidepressant effects, and the (2R,6R)-HNK enantiomer lacks ketamine-related side effects but exerts rapid and sustained antidepressant actions in mice; these antidepressant effects are independent of NMDAR inhibition but require AMPAR activity. Antidepressant action of a ketamine metabolite The NMDAR antagonist ketamine has rapid and sustained antidepressant effects; this has prompted a search for alternative NMDAR antagonists that have the same antidepressant properties but lack the undesirable side effects of ketamine. Todd Gould and colleagues now show that the metabolism of (R,S)-ketamine to (2S,6S;2R,6R)-hydroxynorketamine (HNK) is essential for its antidepressant activity, and that the (2R,6R)-HNK enantiomer exerts rapid and sustained antidepressant actions in mice. These effects are NMDAR-independent but require AMPAR activation. Importantly, (2R,6R)-HNK lacks the side effects associated with ketamine. These findings suggest new options for the development of novel rapid-acting antidepressants., Author(s): Panos Zanos [sup.1] , Ruin Moaddel [sup.2] , Patrick J. Morris [sup.3] , Polymnia Georgiou [sup.1] , Jonathan Fischell [sup.4] , Greg I. Elmer [sup.1] [sup.5] [sup.6] , Manickavasagom [...]

Published
2016
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34. Impact of Macro - Economic Factors on Indian Stock Market- A Research of BSE Sectoral Indices

Author

Raghavendra Raghavendra Nayak, Nagendra S Nagendra S, and Venkatamuni R. Reddy

Subjects
Inflation, Index (economics), business.industry, media_common.quotation_subject, Financial market, General Engineering, Monetary economics, Interest rate, Investment banking, Exchange rate, Management of Technology and Innovation, Economics, Stock market, Consumer price index, business, media_common
Abstract

Macro-Economic factors plays a major role in decision making. Evaluation of macroeconomic environment is required to examine the behaviour of stock prices, which further influences the investor’s investment behaviour. Even though some macro-economic factors are not directly related to the company or industry, but those factors has an impact on stock prices, further economic activity in the domestic and global level has its own impact on stock market. When economy of the country grows hastily, it leads to faster growth in the industry and vice versa. Financial market plays a central role in the performance of financial system of an economy. Stock market is a market where securities of listed companies are exchanged between different investors, it is very responsive market which, gives a stage to investors to invest their money in various securities. Market indices are the tools to measure the performance of various securities of stock market and Investors make use of those market indices to analyse performance of those industries in which, they prefer to invest. This study takes into account six macro-economic factors (Crude oil Price, Gold Price, Silver Price, Exchange Rate, Inflation and Interest Rate) to study & analyse the impact of these variables on selected sectoral indices at BSE, SENSEX, S&P BSE BANKEX, S&P BSE Oil and Gas, S&P BSE Capital Goods, S&P BSE Consumer Durables, S&P BSE Reality, S&P BSE PSU and S&P BSE Power. The study shows that gold price, exchange rate, consumer price index and interest rate are positively correlated with four indices but crude oil price and silver price have positively correlated with 3 indices. So from the result it is clear that investor need to take of all the variables for their investment decision and the investment banker also take care of these indicators before giving suggestion to their clients Index Terms: Macro -economic, Stock Market, Market Indices, SENSEX, BSE, Inflation, Interest rate

Published
2019
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35. Heterotopic caval valve implantation in severe tricuspid regurgitation

Author

Manish Bansal, Praveen Chandra, Rajiv Juneja, Yatin Mehta, Naresh Trehan, Ajmer Singh, Neeraj Kumar Sharma, and Nagendra S Chouhan

Subjects
medicine.medical_specialty, Case Report, Regurgitation (circulation), Inferior vena cava, transcatheter therapy, Right heart failure, Superior vena cava, Anesthesiology, medicine, Diseases of the circulatory (Cardiovascular) system, RD78.3-87.3, cardiovascular diseases, tricuspid regurgitation, caval valve implantation, Tricuspid valve, business.industry, General Medicine, Perioperative, Surgical correction, Surgery, Anesthesiology and Pain Medicine, medicine.anatomical_structure, structural heart disease intervention, medicine.vein, RC666-701, cardiovascular system, Cardiology and Cardiovascular Medicine, business, Medical therapy
Abstract

Severe symptomatic tricuspid regurgitation (TR) with right heart failure is associated with significant morbidity and mortality. Medical therapy is often ineffective and surgical correction is not feasible due to prohibitive perioperative risk. Transcatheter caval valve implantation (CAVI) is an evolving therapeutic option for this condition. It refers to the heterotopic placement of a valve into the inferior vena cava alone or with a second valve in the superior vena cava to restrict the backflow from the failing tricuspid valve. We hereby describe a patient with previous mitral valve surgery with chronic severe TR who underwent successful CAVI at our institute.

Published
2021

36. Structure-Property Relation in Varieties of Millets Grown in Karnataka

Author

M. S. Suhas, Vasudeva Singh, Nagendra S. Kamath, R. K. Somashekar, and P. Koushik

Subjects
symbols.namesake, Environmental Engineering, Materials science, Chemical physics, symbols, Structure property, Raman spectroscopy, Magnetic susceptibility
Abstract

Aim: This study aims to establish structure-property relation of the varieties of millets grown in Karnataka. Study Design: Seven different varieties of millets were collected from the farms in Chitradurga district from the state of Karnataka in India. Place and Duration of Study: This study was conducted between January and April 2020 at the Vijnana Bhavan, University with Potential for excellence, University of Mysore, Karnataka Methodology: Magnetic property and characterization for seven out of the nine varieties of millets grown in Chitradurga, Hiriyur and Khandenahalli of Karnataka were carried out using X-ray diffraction studies (XRD), Energy Dispersive X-ray analysis (EDAX), Raman spectroscopy, SEM and Xplore AC magnetic techniques to understand the physical properties of these samples and to find out the structure-property relation in these millets. Results: The Foxtail millet is unique in terms of crystallites size, elemental distribution and magnetic properties. The structure-property relation of all the millets is determined. Conclusion: It is evident from these studies that all the millets are diamagnetic in nature, crystalline like order is less and the major component in all these millets is cellulose. Also the Foxtail millet has excellent structure-property relation.

Published
2020
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37. An Overview of Risk Management and Risk-based Cleaning Validation

Author

Gangadharappa H, Hemanth Kumar S, Sumukha Krishna P, and Nagendra S

Subjects
Risk analysis, business.industry, media_common.quotation_subject, Cleaning validation, Product (business), Harm, Risk analysis (engineering), Quality (business), General Pharmacology, Toxicology and Pharmaceutics, Risk assessment, business, Quality policy, Risk management, media_common
Abstract

Risk in general means exposure to harm or a factor that can contribute towards bringing harm to a system. Almost every operation in the pharmaceutical industry is susceptible to risks. There is a need to overcome risks and them to prevent unwanted changes in product quality and safety. This prevention can be done by carrying out quality risk management (QRM) that facilitates the proper of risks, risk analysis, risk assessment to control and reduce risks. ICH Q9 guidelines explain quality risk management and its applications in the pharmaceutical industry. Cleaning validation is performed to verify and evaluate the efficacy of cleaning procedures used to clean the equipment after production and to prevent cross-contamination between products that are manufactured in the production facility. current study on reviews of quality risk management and cleaning validation policies. By incorporating QRM in the quality policy, companies can look to improve the modern Approach towards facing risks related to the issues that affect the product quality, safety and compliance concerning the cleaning of equipment used in manufacturing and supporting operations in the industries.

Published
2020
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38. Comparative study of acute ischemic stroke in Indian patients on dual anti-platelet therapy clopidogrel and aspirin versus aspirin using modified ranking scale

Author

Nagendra S and Dayananda As

Subjects
medicine.medical_specialty, Aspirin, Combination therapy, business.industry, medicine.disease, Clopidogrel, Rating scale, Internal medicine, medicine, Observational study, cardiovascular diseases, Platelet activation, business, Acute ischemic stroke, Stroke, medicine.drug
Abstract

Background: Stroke is a major cause of morbidity and mortality in an aging population. In the elderly, ischemic stroke accounts for more than 80% of all stroke cases. Stroke is the second leading cause of disability after ischaemic heart disease (IHD) and is the sixth leading cause worldwide. The aim of this study was to evaluate the effects of clopidogrel and aspirin (combination therapy) and aspirin alone (monotherapy for Acute Ischemic Stroke patients. Material and Methods: This is a Prospective, non-randomized and observational study conducted in the Department of General Medicine, Subbaiah Institute of Medical Sciences, Shimoga among 70 acute ischemic stroke patients from January 2019 to September 2019. Clopidogrel at an initial dose of 300 mg, followed by 75 mg per day for 90 days, plus aspirin at a dose of 75 mg per day for the first 21 days) or aspirin (75 mg per day for 90 days) group.Result: In our study, majority of patients were more than 60 years and least were less than 40 years in both the groups. Predominant were male than female in both the groups. An mRS of 3–6 at 90-day assessment occurred in 3 patients in the clopidogrel-aspirin group, and in 3 patients in the aspirin group (p=0.039). Poor quality of life at 90 days occurred in 1 patients in the clopidogrel aspirin group and in 2 in the aspirin group (p=0.081). Conclusions: For patients with acute Acute Ischemic Stroke, treatment with clopidogrel and aspirin provided significantly greater inhibition of platelet activity than aspirin alone. Thus, dual therapy can be safer and more effective in reducing ischemic stroke recurrence.

Published
2020
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39. Particulate matter exposure analysis in 12 critical urban zones of Chennai, India

Author

Sneha M, Dheeraj Alshetty, Ramsundram N, and Shiva Nagendra S M

Subjects
Air Pollutants, Humans, India, Particulate Matter, General Medicine, Management, Monitoring, Policy and Law, Particle Size, Pollution, General Environmental Science, Environmental Monitoring
Abstract

This research paper examines the exposure to particulate matter (PM) and its deposition on the human respiratory tract (HRT) in 12 critical urban zones - institutional zone, commercial zone, construction zone, hospital zone, landfill zone, industrial zone, residential zone, high-traffic zone, main roads, medium-traffic zone secondary roads, low-traffic zone, coastal zone, and environmentally sensitive zone. This study measured the size-segregated PM concentrations using a Grimm aerosol spectrometer. The multiple-path particle dosimetry model assesses particles' total and regional deposition mass rates for different urban zones. A stochastic model of the 60th percentile is used to illustrate the deposition of PM in the human lung. The deposition rate of PM in the HRT is examined for the different urban zones from different emission sources. The analysis shows that the PM concentration in zone V (dumpsite zone) is at an elevated level (i.e., PM

Published
2022

40. Global impact of the COVID-19 pandemic on subarachnoid haemorrhage hospitalisations, aneurysm treatment and in-hospital mortality: 1-year follow-up

Author

Nguyen, Tn, Qureshi, Mm, Klein, P, Yamagami, H, Mikulik, R, Etminan, N, Abdalkader, M, Mansour, Oy, Czlonkowska, A, Lo, H, Sathya, A, Demeestere, J, Tsivgoulis, G, Sakai, N, Sedova, P, Kristoffersen, Es, Mohammaden, M, Lereis, Vp, Scollo, Sd, Ma, A, Rahman, A, Bonnet, T, Cortier, J, De Raedt, S, Lemmens, R, Ligot, N, Hidalgo, Rct, Cuervo, Dlm, Neves, Ld, Rezende, Mts, Santiago, Ib, Sirakov, A, Sirakov, S, Cora, Ea, Kelly, Me, Lavoie, P, Peeling, L, Pikula, A, Rivera, R, Chen, Hs, Chen, Ym, Fang, Hl, Bedekovic, Mr, Budincevic, H, Strossmayer, Jj, Hrabanovska, E, Jurak, L, Cabal, M, Kadlckova, J, Karpowicz, I, Palouskova, H, Reiser, M, Klecka, L, Kovar, M, Neumann, J, Rekova, P, Sramek, M, Vitkova, E, Skorna, M, Zakova, L, Sobh, K, Alpay, K, Rautio, R, Strbian, D, Gentric, Jc, Magro, E, Naggara, O, Reiner, P, Abdulazim, A, Bohmann, Fo, Boskamp, S, Gerber, Jc, Kaiser, Dpo, Kestner, Ri, Mbroh, J, Neyazi, M, Rosenkranz, M, Sani, Af, Poli, S, Thomalla, G, Karapanayiotides, T, Kargiotis, O, Koutroulou, I, Palaiodimou, L, Guerra, Jdb, Huded, V, Nagendra, S, Prajapati, C, Krishna, A, Ghoreishi, A, Ilkhchi, Rb, Jalili, J, Sabetay, Si, Abu Raya, T, Acampa, M, Longoni, M, Bigliani, Cr, Castellan, L, Ornello, R, Renieri, L, Romoli, M, Sacco, S, Sangalli, D, Vigano, M, Zini, A, Tokimura, H, Sonoda, K, Todo, K, Fukuda, H, Fujita, K, Sakaguchi, M, Uno, M, Kan, I, Kosuke, M, Kono, R, Kimura, N, Yamamoto, N, Yamamoto, R, Doijiri, R, Shindo, S, Ohara, N, Imamura, H, Ogawa, T, Uwatoko, T, Kanamaru, T, Fujinaka, T, Takenobu, Y, Toyoda, K, Matsumaru, Y, Yazawa, Y, Sugiura, Y, Baek, Jh, Sunmonu, Ta, Kwon, Ys, Lee, Yh, Seo, Kd, Sohn, Si, Chan, Yc, Zaidi, Waw, Barrientos-Prieto, J, Gongora-Rivera, F, Martinez-Marino, M, Calderon-Vallejo, A, Groppa, S, Pavel, L, Coutinho, Jm, Dippel, D, Rinkel, L, Van Dam-Nolen, Dhk, Nwazor, Eo, Al Hashimi, Am, Ahmad, S, Rashid, U, Rodriguez-Kadota, L, Vences, Ma, Yalung, Pm, Jsh, Dy, Brola, W, Dorobek, M, Karlinski, Ma, Labuz-Roszak, Bm, Lasek-Bal, A, Sienkiewicz-Jarosz, H, Staszewski, J, Sobolewski, P, Zielinska-Turek, J, Araujo, Ap, Fonseca, L, Debiec, A, Silva, Ml, Castro, P, Rocha, M, Falup-Pecurariu, Rc, Venketasubramanian, N, Mako, Gkm, Ayo-Martin, O, Wiacek, M, Blasco, J, Cruz-Culebras, A, Hernandez-Fernandez, F, Fernandez, Cr, Lopez, Je, Rodriguez, A, Bolognese, M, Karwacki, Gm, Keller, E, Machi, P, Bernava, G, Boonyakarnkul, S, Churojana, A, Hammami, N, Bajrami, A, Senadim, S, Hussain, Si, John, S, Dow, G, Krishnan, K, Lenthall, R, Wong, K, Zhang, Lq, Altschul, D, Asif, Ks, Aziz-Sultan, Ma, Bach, I, Below, K, Biller, J, Cervantes-Arslanian, Am, Chaudhry, Sa, Chebl, A, Chen, M, Colasurdo, M, Czap, A, Dasenbrock, H, Bahiru, Z, de Havenon, Ah, Dharmadhikari, S, Dmytriw, Aa, Eskey, Cj, Etherton, M, Ezepue, C, Fink, L, Gasimova, U, Goyal, N, Grimmett, Kb, Hakemi, M, Hester, T, Inoa, V, Kan, Pt, Kasper, Em, Khandelwal, P, Khatri, R, Khoury, Nn, Kim, Bs, Kolikonda, M, Kuhn, Al, Linares, G, Linfante, I, Loochtan, Ai, Lukovits, Tg, Male, Ss, Khawaja, Am, Maali, L, Galecio-Castillo, Em, Min, Jy, Mohamed, Ga, Nalleballe, K, Ortega-Gutierrez, S, Radaideh, Y, Ramakrishnan, P, Masoud, He, Reddy, Ab, Ruland, S, Omran, Ss, Sheth, Sa, Puri, As, Rahangdale, Rh, Siegler, Je, Starosciak, Ak, Tarlov, Ne, Taylor, Ra, Tsai, J, Wang, Mj, Wong, Kh, Zaidat, Oo, Hv, Le, Phan, Ht, Ton, Md, Tran, Ad, Sirakova, K, Pham, Tn, Mohlenbruch, Ma, Nagel, S, Raymond, J, Nogueira, Rg, Neurology, ACS - Atherosclerosis & ischemic syndromes, and ANS - Neurovascular Disorders

Subjects
Psychiatry and Mental health, SDG 3 - Good Health and Well-being, COVID-19, SUBARACHNOID HAEMORRHAGE, CEREBROVASCULAR DISEASE, Surgery, Neurology (clinical)
Abstract

BackgroundPrior studies indicated a decrease in the incidences of aneurysmal subarachnoid haemorrhage (aSAH) during the early stages of the COVID-19 pandemic. We evaluated differences in the incidence, severity of aSAH presentation, and ruptured aneurysm treatment modality during the first year of the COVID-19 pandemic compared with the preceding year.MethodsWe conducted a cross-sectional study including 49 countries and 187 centres. We recorded volumes for COVID-19 hospitalisations, aSAH hospitalisations, Hunt-Hess grade, coiling, clipping and aSAH in-hospital mortality. Diagnoses were identified by International Classification of Diseases, 10th Revision, codes or stroke databases from January 2019 to May 2021.ResultsOver the study period, there were 16 247 aSAH admissions, 344 491 COVID-19 admissions, 8300 ruptured aneurysm coiling and 4240 ruptured aneurysm clipping procedures. Declines were observed in aSAH admissions (−6.4% (95% CI −7.0% to −5.8%), p=0.0001) during the first year of the pandemic compared with the prior year, most pronounced in high-volume SAH and high-volume COVID-19 hospitals. There was a trend towards a decline in mild and moderate presentations of subarachnoid haemorrhage (SAH) (mild: −5% (95% CI −5.9% to –4.3%), p=0.06; moderate: −8.3% (95% CI −10.2% to –6.7%), p=0.06) but no difference in higher SAH severity. The ruptured aneurysm clipping rate remained unchanged (30.7% vs 31.2%, p=0.58), whereas ruptured aneurysm coiling increased (53.97% vs 56.5%, p=0.009). There was no difference in aSAH in-hospital mortality rate (19.1% vs 20.1%, p=0.12).ConclusionDuring the first year of the pandemic, there was a decrease in aSAH admissions volume, driven by a decrease in mild to moderate presentation of aSAH. There was an increase in the ruptured aneurysm coiling rate but neither change in the ruptured aneurysm clipping rate nor change in aSAH in-hospital mortality.Trial registration numberNCT04934020.

Published
2022

43. Ketamine Metabolites Enantioselectively Decrease Intracellular D-Serine Concentrations in PC-12 Cells.

Author

Nagendra S Singh, Ewelina Rutkowska, Anita Plazinska, Mohammed Khadeer, Ruin Moaddel, Krzysztof Jozwiak, Michel Bernier, and Irving W Wainer

Subjects
Medicine, Science
Abstract

D-Serine is an endogenous NMDA receptor co-agonist that activates synaptic NMDA receptors modulating neuronal networks in the cerebral cortex and plays a key role in long-term potentiation of synaptic transmission. D-serine is associated with NMDA receptor neurotoxicity and neurodegeneration and elevated D-serine concentrations have been associated with Alzheimer's and Parkinsons' diseases and amyotrophic lateral sclerosis. Previous studies have demonstrated that the ketamine metabolites (rac)-dehydronorketamine and (2S,6S)-hydroxynorketamine decrease intracellular D-serine concentrations in a concentration dependent manner in PC-12 cells. In the current study, PC-12 cells were incubated with a series of ketamine metabolites and the IC50 values associated with attenuated intracellular D-serine concentrations were determined. The results demonstrate that structural and stereochemical features of the studied compounds contribute to the magnitude of the inhibitory effect with (2S,6S)-hydroxynorketamine and (2R,6R)-hydroxynorketamine displaying the most potent inhibition with IC50 values of 0.18 ± 0.04 nM and 0.68 ± 0.09 nM. The data was utilized to construct a preliminary 3D-QSAR/pharmacophore model for use in the design of new and more efficient modulators of D-serine.

Published
2016
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47. Compositional fluctuations mediated by excess tellurium in bismuth antimony telluride nanocomposite yields high thermoelectric performance

Author

Chauhan, Nagendra S., Pyrlin, Sergey V., Lebedev, Oleg I., Marques, L., Ramos, Marta M. D., Maiti, Tanmoy, Kovnir, Kirill, Korgel, Brian A., Kolen'ko, Yury V., and Universidade do Minho

Subjects
Science & Technology, Thermoelectric, Transport property, Spark plasma sintering, Colloidal synthesis, Microstructure, Chalcogenides
Abstract

A high thermoelectric figure of merit (ZT) in state-of-the-art bismuth antimony telluride (BST) composites was attained by an excess tellurium-assisted liquid-phase compaction approach. Herein, we report a maximum ZT of approximate to 1.4 at 500 K attained for BST bulk nanocomposites fabricated by spark plasma sintering of colloidally synthesized (Bi,Sb)(2)Te-3 platelets and Te-rich rods. The Terich nanodomains and antimony precipitation during sintering result in compositional fluctuations and atomic ordering within the BST-Te eutectic microstructure, which provides additional phonon scattering and hole contributions. The electrical transport measurement and theoretical calculations corroborate the altered free carrier density via lattice defects and atomic ordering under Te-rich conditions, resulting in a higher power factor. Microstructural studies suggest that reduction in lattice thermal conductivity is due to composite interfaces and defects in the closely packed (Bi,Sb)(2)Te-3 matrix with unevenly distributed Sband Te-rich nanodomains. This work provides an unconventional chemical synthesis route with large scalability for developing high-performance chalcogenide-based bulk nanocomposites for thermoelectric applications., We thank the members of the Nanochemistry Research Group (http://nanochemgroup.org) at INL for insightful discussions and support. This work was supported by the Portuguese national funding agency for science, research, and technology (FCT) under the UT-BORN-PT project (UTAP-EXPL/CTE/0050/2017), strategic project UID/FIS/04650/2020, Project SATRAP (POCI-01-0145-FEDER-028108) and Advanced Computing Project CPCA/A2/4513/2020 for access to MACC-BOB HPC resources. B.A.K. acknowledges funding of this work by the Robert A. Welch Foundation (grant no. F1464). N.S.C. and T.M. acknowledge SERB, India (project no. SPO/SERB/MET/2018547) for financial support.

Published
2021

48. Zanos et al. reply

Author

Zanos, Panos, Moaddel, Ruin, Morris, Patrick J., Georgiou, Polymnia, Fischell, Jonathan, Elmer, Greg I., Alkondon, Manickavasagom, Yuan, Peixiong, Pribut, Heather J., Singh, Nagendra S., Dossou, Katina S. S., Fang, Yuhong, Huang, Xi-Ping, Mayo, Cheryl L., Albuquerque, Edson X., Thompson, Scott M., Thomas, Craig J., Zarate, Carlos A., and Gould, Todd D.

Published
2017
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