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3. Simulated Thick, Fully-Depleted CCD Exposures Analyzed with Deep Learning Techniques

Author

Britt, C., Church, E., Hossbach, T., Loer, B., Saldanha, R., Sinha, N., and Woodruff, K.

Subjects
Physics - Instrumentation and Detectors, Nuclear Experiment
Abstract

Thick, Charge Coupled Devices (CCDs) have recently been explored for applied physics, such as nuclear explosion monitoring, and dark matter detection purposes. When run in fully-depleted mode, these devices are sensitive detectors for energy depositions by a variety of primary particles. In this study we are interested in applying the Deep Learning (DL) technique known as panoptic segmentation to simulated CCD images to identify, attribute and measure energy depositions from radioisotopes of interest. We simulate CCD exposures of a chosen radioxenon isotope, $^{135}$Xe, and overlay a simulated cosmic muon background appropriate for a surface-lab. We show that with this DL technique we can reproduce the beta spectrum to good accuracy, while suffering expected confusion with same-topology gammas and conversion electrons and identifying cosmic muons less than optimally.

Published
2022

4. The Large Hadron-Electron Collider at the HL-LHC

Author

Agostini, P., Aksakal, H., Alekhin, S., Allport, P. P., Andari, N., Andre, K. D. J., Angal-Kalinin, D., Antusch, S., Bella, L. Aperio, Apolinario, L., Apsimon, R., Apyan, A., Arduini, G., Ari, V., Armbruster, A., Armesto, N., Auchmann, B., Aulenbacher, K., Azuelos, G., Backovic, S., Bailey, I., Bailey, S., Balli, F., Behera, S., Behnke, O., Ben-Zvi, I., Benedikt, M., Bernauer, J., Bertolucci, S., Biswal, S. S., Blümlein, J., Bogacz, A., Bonvini, M., Boonekamp, M., Bordry, F., Boroun, G. R., Bottura, L., Bousson, S., Bouzas, A. O., Bracco, C., Bracinik, J., Britzger, D., Brodsky, S. J., Bruni, C., Brüning, O., Burkhardt, H., Cakir, O., Calaga, R., Caldwell, A., Calıskan, A., Camarda, S., Catalan-Lasheras, N. C., Cassou, K., Cepila, J., Cetinkaya, V., Chetvertkova, V., Cole, B., Coleppa, B., Cooper-Sarkar, A., Cormier, E., Cornell, A. S., Corsini, R., Cruz-Alaniz, E., Currie, J., Curtin, D., D'Onofrio, M., Dainton, J., Daly, E., Das, A., Das, S. P., Dassa, L., de Blas, J., Rose, L. Delle, Denizli, H., Deshpande, K. S., Douglas, D., Duarte, L., Dupraz, K., Dutta, S., Efremov, A. V., Eichhorn, R., Eskola, K. J., Ferreiro, E. G., Fischer, O., Flores-Sánchez, O., Forte, S., Gaddi, A., Gao, J., Gehrmann, T., Ridder, A. Gehrmann-De, Gerigk, F., Gilbert, A., Giuli, F., Glazov, A., Glover, N., Godbole, R. M., Goddard, B., Gonçalves, V., Gonzalez-Sprinberg, G. A., Goyal, A., Grames, J., Granados, E., Grassellino, A., Gunaydin, Y. O., Guo, Y. C., Guzey, V., Gwenlan, C., Hammad, A., Han, C. C., Harland-Lang, L., Haug, F., Hautmann, F., Hayden, D., Hessler, J., Helenius, I., Henry, J., Hernandez-Sanchez, J., Hesari, H., Hobbs, T. J., Hod, N., Hoffstaetter, G. H., Holzer, B., Honorato, C. G., Hounsell, B., Hu, N., Hug, F., Huss, A., Hutton, A., Islam, R., Iwamoto, S., Jana, S., Jansova, M., Jensen, E., Jones, T., Jowett, J. M., Kaabi, W., Kado, M., Kalinin, D. A., Karadeniz, H., Kawaguchi, S., Kaya, U., Khalek, R. A., Khanpour, H., Kilic, A., Klein, M., Klein, U., Kluth, S., Köksal, M., Kocak, F., Korostelev, M., Kostka, P., Krelina, M., Kretzschmar, J., Kuday, S., Kulipanov, G., Kumar, M., Kuze, M., Lappi, T., Larios, F., Latina, A., Laycock, P., Lei, G., Levitchev, E., Levonian, S., Levy, A., Li, R., Li, X., Liang, H., Litvinenko, V., Liu, M., Liu, T., Liu, W., Liu, Y., Liuti, S., Lobodzinska, E., Longuevergne, D., Luo, X., Ma, W., Machado, M., Mandal, S., Mäntysaari, H., Marhauser, F., Marquet, C., Martens, A., Martin, R., Marzani, S., McFayden, J., Mcintosh, P., Mellado, B., Meot, F., Milanese, A., Milhano, J. G., Militsyn, B., Mitra, M., Moch, S., Najafabadi, M. Mohammadi, Mondal, S., Moretti, S., Morgan, T., Morreale, A., Nadolsky, P., Navarra, F., Nergiz, Z., Newman, P., Niehues, J., Nissen, E. A., Nowakowski, M., Okada, N., Olivier, G., Olness, F., Olry, G., Osborne, J. A., Ozansoy, A., Pan, R., Parker, B., Patra, M., Paukkunen, H., Peinaud, Y., Pellegrini, D., Perez-Segurana, G., Perini, D., Perrot, L., Pietralla, N., Pilicer, E., Pire, B., Pires, J., Placakyte, R., Poelker, M., Polifka, R., Polini, A., Poulose, P., Pownall, G., Pupkov, Y. A., Queiroz, F. S., Rabbertz, K., Radescu, V., Rahaman, R., Rai, S. K., Raicevic, N., Ratoff, P., Rashed, A., Raut, D., Raychaudhuri, S., Repond, J., Rezaeian, A. H., Rimmer, R., Rinolfi, L., Rojo, J., Rosado, A., Ruan, X., Russenschuck, S., Sahin, M., Salgado, C. A., Sampayo, O. A., Satendra, K., Satyanarayan, N., Schenke, B., Schirm, K., Schopper, H., Schott, M., Schulte, D., Schwanenberger, C., Sekine, T., Senol, A., Seryi, A., Setiniyaz, S., Shang, L., Shen, X., Shipman, N., Sinha, N., Slominski, W., Smith, S., Solans, C., Song, M., Spiesberger, H., Stanyard, J., Starostenko, A., Stasto, A., Stocchi, A., Strikman, M., Stuart, M. J., Sultansoy, S., Sun, H., Sutton, M., Szymanowski, L., Tapan, I., Tapia-Takaki, D., Tanaka, M., Tang, Y., Tasci, A. T., Ten-Kate, A. T., Thonet, P., Tomas-Garcia, R., Tommasini, D., Trbojevic, D., Trott, M., Tsurin, I., Tudora, A., Cakir, I. Turk, Tywoniuk, K., Vallerand, C., Valloni, A., Verney, D., Vilella, E., Walker, D., Wallon, S., Wang, B., Wang, K., Wang, X., Wang, Z. S., Wei, H., Welsch, C., Willering, G., Williams, P. H., Wollmann, D., Xiaohao, C., Xu, T., Yaguna, C. E., Yamaguchi, Y., Yamazaki, Y., Yang, H., Yilmaz, A., Yock, P., Yue, C. X., Zadeh, S. G., Zenaiev, O., Zhang, C., Zhang, J., Zhang, R., Zhang, Z., Zhu, G., Zhu, S., Zimmermann, F., Zomer, F., Zurita, J., and Zurita, P.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, Nuclear Experiment, Nuclear Theory
Abstract

The Large Hadron electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting energy recovery technology, it collides a novel, intense electron beam with a proton or ion beam from the High Luminosity--Large Hadron Collider (HL-LHC). The accelerator and interaction region are designed for concurrent electron-proton and proton-proton operation. This report represents an update of the Conceptual Design Report (CDR) of the LHeC, published in 2012. It comprises new results on parton structure of the proton and heavier nuclei, QCD dynamics, electroweak and top-quark physics. It is shown how the LHeC will open a new chapter of nuclear particle physics in extending the accessible kinematic range in lepton-nucleus scattering by several orders of magnitude. Due to enhanced luminosity, large energy and the cleanliness of the hadronic final states, the LHeC has a strong Higgs physics programme and its own discovery potential for new physics. Building on the 2012 CDR, the report represents a detailed updated design of the energy recovery electron linac (ERL) including new lattice, magnet, superconducting radio frequency technology and further components. Challenges of energy recovery are described and the lower energy, high current, 3-turn ERL facility, PERLE at Orsay, is presented which uses the LHeC characteristics serving as a development facility for the design and operation of the LHeC. An updated detector design is presented corresponding to the acceptance, resolution and calibration goals which arise from the Higgs and parton density function physics programmes. The paper also presents novel results on the Future Circular Collider in electron-hadron mode, FCC-eh, which utilises the same ERL technology to further extend the reach of DIS to even higher centre-of-mass energies., Comment: 373 pages, many figures, to be published by J. Phys. G

Published
2020
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5. SISALv2: A comprehensive speleothem isotope database with multiple age-depth models

Author

Comas-Bru, L, Rehfeld, K, Roesch, C, Amirnezhad-Mozhdehi, S, Harrison, SP, Atsawawaranunt, K, Ahmad, SM, Brahim, YA, Baker, A, Bosomworth, M, Breitenbach, SFM, Burstyn, Y, Columbu, A, Deininger, M, Demény, A, Dixon, B, Fohlmeister, J, Hatvani, IG, Hu, J, Kaushal, N, Kern, Z, Labuhn, I, Lechleitner, FA, Lorrey, A, Martrat, B, Novello, VF, Oster, J, Pérez-Mejías, C, Scholz, D, Scroxton, N, Sinha, N, Ward, BM, Warken, S, Zhang, H, Apaéstegui, J, Baldini, LM, Band, S, Blaauw, M, Boch, R, Borsato, A, Budsky, A, Rosell, MGB, Chawchai, S, Constantin, S, Denniston, R, Dragusin, V, Drysdale, R, Dumitru, O, Frappier, A, Gandhi, N, Gautam, P, Hanying, L, Isola, I, Jiang, X, Jingyao, Z, Johnson, K, Vanessa Johnston, Kathayat, G, Klose, J, Krause, C, Lachniet, M, Laskar, A, Lauritzen, SE, Lončar, N, Moseley, G, Narayana, AC, Onac, BP, Racovitǎ, E, Pawlak, J, Ramsey, CB, Rivera-Collazo, I, Rossi, C, Rowe, PJ, Stríkis, NM, Tan, L, Verheyden, S, Vonhof, H, Weber, M, Wendt, K, Wilcox, P, Winter, A, Wu, J, Wynn, P, and Yadava, MG

Subjects
Atmospheric Sciences, Geochemistry, Physical Geography and Environmental Geoscience
Abstract

Characterizing the temporal uncertainty in palaeoclimate records is crucial for analysing past climate change, correlating climate events between records, assessing climate periodicities, identifying potential triggers and evaluating climate model simulations. The first global compilation of speleothem isotope records by the SISAL (Speleothem Isotope Synthesis and Analysis) working group showed that age model uncertainties are not systematically reported in the published literature, and these are only available for a limited number of records (ca. 15 %, n = 107/691). To improve the usefulness of the SISAL database, we have (i) improved the database's spatio-temporal coverage and (ii) created new chronologies using seven different approaches for age- depth modelling. We have applied these alternative chronologies to the records from the first version of the SISAL database (SISALv1) and to new records compiled since the release of SISALv1. This paper documents the necessary changes in the structure of the SISAL database to accommodate the inclusion of the new age models and their uncertainties as well as the expansion of the database to include new records and the qualitycontrol measures applied. This paper also documents the age-depth model approaches used to calculate the new chronologies. The updated version of the SISAL database (SISALv2) contains isotopic data from 691 speleothem records from 294 cave sites and new age-depth models, including age-depth temporal uncertainties for 512 speleothems.

Published
2020

7. Long-term evolution of the heliospheric magnetic field inferred from cosmogenic $^{44}$Ti activity in meteorites

Author

Mancuso, S., Taricco, C., Colombetti, P., Rubinetti, S., Sinha, N., and Bhandari, N.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

Typical reconstructions of historic heliospheric magnetic field (HMF) $B_{\rm HMF}$ are based on the analysis of the sunspot activity, geomagnetic data or on measurement of cosmogenic isotopes stored in terrestrial reservoirs like trees ($^{14}$C) and ice cores ($^{10}$Be). The various reconstructions of $B_{\rm HMF}$ are however discordant both in strength and trend. Cosmogenic isotopes, which are produced by galactic cosmic rays (GCRs) impacting on meteoroids and whose production rate is modulated by the varying HMF convected outward by the solar wind, may offer an alternative tool for the investigation of the HMF in the past centuries. In this work, we aim to evaluate the long-term evolution of $B_{\rm HMF}$ over a period covering the past twenty-two solar cycles by using measurements of the cosmogenic $^{44}$Ti activity ($\tau_{1/2} = 59.2 \pm 0.6$ yr) measured in 20 meteorites which fell between 1766 and 2001. Within the given uncertainties, our result is compatible with a HMF increase from $4.87^{+0.24}_{-0.30}$ nT in 1766 to $6.83^{+0.13}_{-0.11}$ nT in 2001, thus implying an overall average increment of $1.96^{+0.43}_{-0.35}$ nT over 235 years since 1766 reflecting the modern Grand maximum. The $B_{\rm HMF}$ trend thus obtained is then compared with the most recent reconstructions of the near-Earth heliospheric magnetic field strength based on geomagnetic, sunspot number and cosmogenic isotope data., Comment: Accepted for publication in Astronomy and Astrophysics

Published
2018
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9. Antral follicle count recovery in women with menses after treatment with and without gonadotropin-releasing hormone agonist use during chemotherapy for breast cancer

Author

Sinha, N, Letourneau, JM, Wald, K, Xiong, P, Imbar, Tal, Li, B, Harris, E, Mok-Lin, E, Cedars, MI, and Rosen, Mitchell P

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Breast Cancer, Clinical Research, Contraception/Reproduction, Reproductive health and childbirth, Good Health and Well Being, Adult, Breast Neoplasms, Cyclophosphamide, Female, Fertility Preservation, Follicular Fluid, Gonadotropin-Releasing Hormone, Humans, Oocytes, Ovarian Follicle, Tamoxifen, Breast cancer, Ovarian reserve, Antral follicle count, Chemotherapy, Ovarian suppression, Fertility preservation, Genetics, Paediatrics and Reproductive Medicine, Obstetrics & Reproductive Medicine, Reproductive medicine
Abstract

PurposeAfter chemotherapy for breast cancer, most women will recover some ovarian function, but the timing and extent of this recovery are poorly understood. We studied post-chemotherapy ovarian recovery in women with and without a history of ovarian suppression during chemotherapy.MethodsReproductive age breast cancer patients who were seen prior to chemotherapy for fertility preservation consult were consented for follow-up ovarian function assessment (every 3-6 months after chemotherapy) with antral follicle count (AFC) in this prospective cohort study. We restricted our analysis to those with menses present after chemotherapy. Box plots were used to demonstrate the change in follow-up AFC versus time elapsed after chemotherapy. A mixed effects regression model was used to assess differences in AFC.ResultsEighty-eight patients with a history of newly diagnosed breast cancer were included. Forty-five patients (51%) had ovarian suppression with GnRH agonist (GnRHa) during chemotherapy. AFC recovery appeared to plateau at 1 year after completing chemotherapy at a median of 40% of pre-chemotherapy AFC. After adjustment for age, initial AFC, cyclophosphamide exposure, combined hormonal contraceptive (CHC) use, and tamoxifen use, AFC recovered faster and to a greater degree for those women who underwent GnRHa therapy for ovarian protection during chemotherapy (P = 0.032).ConclusionsWomen with menses after chemotherapy for breast cancer appear to recover their full potential AFC 1 year after their last chemotherapy dose. Treatment with GnRHa during chemotherapy is associated with a higher degree of AFC recovery. The findings of this study can aid in counseling patients prior to chemotherapy about expectations for ovarian recovery and planning post-treatment fertility preservation care to maximize reproductive potential when pre-treatment fertility preservation care is not possible or has limited oocyte yield.

Published
2018

14. Prevalence of Low Level of Vitamin D Among COVID-19 Patients and Associated Risk Factors in India – A Hospital-Based Study

Author

Singh S, Nimavat N, Kumar Singh A, Ahmad S, and Sinha N

Subjects
vitamin d, covid-19, sars-cov-2, low level of vitamin d, Medicine (General), R5-920
Abstract

Shruti Singh,1 Nirav Nimavat,2 Amarjeet Kumar Singh,3 Shamshad Ahmad,4 Nishi Sinha2 1Department of Pharmacology, AIIMS, Patna, Bihar, India; 2Department of Community Medicine, SBKS MIRC, Sumandeep Vidyapeeth Deemed to be University, Vadodara, Gujarat, India; 3Department of Anaesthesia, AIIMS, Patna, Bihar, India; 4Department of Community and Family Medicine, AIIMS, Patna, Bihar, IndiaCorrespondence: Nirav NimavatDepartment of Community Medicine, SBKS MIRC, Sumandeep Vidyapeeth Deemed to be University, Vadodara, Gujarat, IndiaEmail nkniraj1529@gmail.comBackground: The world is facing the most challenging pandemic in the 21st century. The developed and developing countries are facing the burden equally and no proven treatment options available. Recent studies suggest the plausibility of vitamin D therapy and prophylaxis for COVID-19, in the setting where the deficiency is more prevalent. Though evaluation of vitamin D status is not a routine in India, the present study focuses on the level of Vitamin d among COVID-19 patients.Methods: The study was a hospital-based cross-sectional to find the status of vitamin D among COVID-19 patients in a tertiary care hospital, Patna, Bihar, India. The demographic, comorbidity data were taken, and the level of vitamin D was measured by a chemiluminescence-based immunoassay analyzer. The analysis compared the level of deficiency and insufficiency among different groups of COVID-19 patients. The role of DM and HTN as risk factors for mortality was compared.Results: Among the total study participants (156), 42.31% were obese and 17.31% were severe as per clinical severity. The total prevalence of vitamin D deficiency was 58.97% and insufficiency was 89.1%. The prevalence was found high among male (61.02%), overweight (65.52%), and severe (62.96%) patients. The severity increases with advanced age (p< 0.05) and important risk factors for mortality are DM, HTN, and advanced age.Conclusion: The level of vitamin D can be assessed for the prognosis of COIVD-19 patients and help to modify the treatment protocol. Appropriate therapeutic/preventive intervention of vitamin D can alter the course and severity of COVID-19.Keywords: Vitamin D, COVID-19, SARS-CoV-2, low level of Vitamin D

Published
2021

19. Assessing variation in physicochemical, structural, and functional properties of root starches from novel Tanzanian cassava (Manihot esculenta Crantz.) landraces

Author

Mtunguja, MK, Thitisaksakul, M, Muzanila, YC, Wansuksri, R, Piyachomkwan, K, Laswai, HS, Chen, G, Shoemaker, CF, Sinha, N, and Beckles, DM

Subjects
Cassava starch, Manihot esculenta, Starch digestibility, Starch functionality, Starch structure, Food Science, Food Sciences
Abstract

Cassava is an ideal "climate change" crop valued for its efficient production of root starch. Here, the physicochemical properties and functionality of starches isolated from six cassava landraces were explored to determine how they varied from each other and from those previously described, and how they may be potentially used as value-added foods and biomaterials. Among genotypes, the parameters assayed showed a narrower range of values compared to published data, perhaps indicating a local preference for a certain cassava-type. Dry matter (30-39%), amylose (11-19%), starch (74-80%), and reducing sugar contents (1-3%) differed most among samples (p ≤ 0.05). Only one of the six genotypes differed in starch crystallinity (41.4%; while the data ranged from 36.0 to 37.9%), and mean starch granule particle size, (12.5 μm instead of 13.09-13.80 μm), while amylopectin glucan chain distribution and granule morphology were the same. In contrast, the starch functionality features measured: swelling power, solubility, syneresis, and digestibility differed among genotypes (p ≤ 0.05). This was supported by partial least square discriminant analysis, which highlighted the divergence among the cassavas based on starch functionality. Using these data, suggestions for the targeted uses of these starches in diverse industries were proposed.

Published
2016

20. The Large Hadron–Electron Collider at the HL-LHC

Author

Agostini, P, Aksakal, H, Alekhin, S, Allport, P P, Andari, N, Andre, K D J, Angal-Kalinin, D, Antusch, S, Aperio Bella, L, Apolinario, L, Apsimon, R, Apyan, A, Arduini, G, Ari, V, Armbruster, A, Armesto, N, Auchmann, B, Aulenbacher, K, Azuelos, G, Backovic, S, Bailey, I, Bailey, S, Balli, F, Behera, S, Behnke, O, Ben-Zvi, I, Benedikt, M, Bernauer, J, Bertolucci, S, Biswal, S S, Blümlein, J, Bogacz, A, Bonvini, M, Boonekamp, M, Bordry, F, Boroun, G R, Bottura, L, Bousson, S, Bouzas, A O, Bracco, C, Bracinik, J, Britzger, D, Brodsky, S J, Bruni, C, Brüning, O, Burkhardt, H, Cakir, O, Calaga, R, Caldwell, A, Calıskan, A, Camarda, S, Catalan-Lasheras, N C, Cassou, K, Cepila, J, Cetinkaya, V, Chetvertkova, V, Cole, B, Coleppa, B, Cooper-Sarkar, A, Cormier, E, Cornell, A S, Corsini, R, Cruz-Alaniz, E, Currie, J, Curtin, D, D’Onofrio, M, Dainton, J, Daly, E, Das, A, Das, S P, Dassa, L, de Blas, J, Delle Rose, L, Denizli, H, Deshpande, K S, Douglas, D, Duarte, L, Dupraz, K, Dutta, S, Efremov, A V, Eichhorn, R, Eskola, K J, Ferreiro, E G, Fischer, O, Flores-Sánchez, O, Forte, S, Gaddi, A, Gao, J, Gehrmann, T, Gehrmann-De Ridder, A, Gerigk, F, Gilbert, A, Giuli, F, Glazov, A, Glover, N, Godbole, R M, Goddard, B, Gonçalves, V, Gonzalez-Sprinberg, G A, Goyal, A, Grames, J, Granados, E, Grassellino, A, Gunaydin, Y O, Guo, Y C, Guzey, V, Gwenlan, C, Hammad, A, Han, C C, Harland-Lang, L, Haug, F, Hautmann, F, Hayden, D, Hessler, J, Helenius, I, Henry, J, Hernandez-Sanchez, J, Hesari, H, Hobbs, T J, Hod, N, Hoffstaetter, G H, Holzer, B, Honorato, C G, Hounsell, B, Hu, N, Hug, F, Huss, A, Hutton, A, Islam, R, Iwamoto, S, Jana, S, Jansova, M, Jensen, E, Jones, T, Jowett, J M, Kaabi, W, Kado, M, Kalinin, D A, Karadeniz, H, Kawaguchi, S, Kaya, U, Khalek, R A, Khanpour, H, Kilic, A, Klein, M, Klein, U, Kluth, S, Köksal, M, Kocak, F, Korostelev, M, Kostka, P, Krelina, M, Kretzschmar, J, Kuday, S, Kulipanov, G, Kumar, M, Kuze, M, Lappi, T, Larios, F, Latina, A, Laycock, P, Lei, G, Levitchev, E, Levonian, S, Levy, A, Li, R, Li, X, Liang, H, Litvinenko, V, Liu, M, Liu, T, Liu, W, Liu, Y, Liuti, S, Lobodzinska, E, Longuevergne, D, Luo, X, Ma, W, Machado, M, Mandal, S, Mäntysaari, H, Marhauser, F, Marquet, C, Martens, A, Martin, R, Marzani, S, McFayden, J, Mcintosh, P, Mellado, B, Meot, F, Milanese, A, Milhano, J G, Militsyn, B, Mitra, M, Moch, S, Mohammadi Najafabadi, M, Mondal, S, Moretti, S, Morgan, T, Morreale, A, Nadolsky, P, Navarra, F, Nergiz, Z, Newman, P, Niehues, J, Nissen, E A, Nowakowski, M, Okada, N, Olivier, G, Olness, F, Olry, G, Osborne, J A, Ozansoy, A, Pan, R, Parker, B, Patra, M, Paukkunen, H, Peinaud, Y, Pellegrini, D, Perez-Segurana, G, Perini, D, Perrot, L, Pietralla, N, Pilicer, E, Pire, B, Pires, J, Placakyte, R, Poelker, M, Polifka, R, Polini, A, Poulose, P, Pownall, G, Pupkov, Y A, Queiroz, F S, Rabbertz, K, Radescu, V, Rahaman, R, Rai, S K, Raicevic, N, Ratoff, P, Rashed, A, Raut, D, Raychaudhuri, S, Repond, J, Rezaeian, A H, Rimmer, R, Rinolfi, L, Rojo, J, Rosado, A, Ruan, X, Russenschuck, S, Sahin, M, Salgado, C A, Sampayo, O A, Satendra, K, Satyanarayan, N, Schenke, B, Schirm, K, Schopper, H, Schott, M, Schulte, D, Schwanenberger, C, Sekine, T, Senol, A, Seryi, A, Setiniyaz, S, Shang, L, Shen, X, Shipman, N, Sinha, N, Slominski, W, Smith, S, Solans, C, Song, M, Spiesberger, H, Stanyard, J, Starostenko, A, Stasto, A, Stocchi, A, Strikman, M, Stuart, M J, Sultansoy, S, Sun, H, Sutton, M, Szymanowski, L, Tapan, I, Tapia-Takaki, D, Tanaka, M, Tang, Y, Tasci, A T, Ten-Kate, A T, Thonet, P, Tomas-Garcia, R, Tommasini, D, Trbojevic, D, Trott, M, Tsurin, I, Tudora, A, Turk Cakir, I, Tywoniuk, K, Vallerand, C, Valloni, A, Verney, D, Vilella, E, Walker, D, Wallon, S, Wang, B, Wang, K, Wang, X, Wang, Z S, Wei, H, Welsch, C, Willering, G, Williams, P H, Wollmann, D, Xiaohao, C, Xu, T, Yaguna, C E, Yamaguchi, Y, Yamazaki, Y, Yang, H, Yilmaz, A, Yock, P, Yue, C X, Zadeh, S G, Zenaiev, O, Zhang, C, Zhang, J, Zhang, R, Zhang, Z, Zhu, G, Zhu, S, Zimmermann, F, Zomer, F, Zurita, J, Zurita, P, Agostini, P, Aksakal, H, Alekhin, S, Allport, P P, Andari, N, Andre, K D J, Angal-Kalinin, D, Antusch, S, Aperio Bella, L, Apolinario, L, Apsimon, R, Apyan, A, Arduini, G, Ari, V, Armbruster, A, Armesto, N, Auchmann, B, Aulenbacher, K, Azuelos, G, Backovic, S, Bailey, I, Bailey, S, Balli, F, Behera, S, Behnke, O, Ben-Zvi, I, Benedikt, M, Bernauer, J, Bertolucci, S, Biswal, S S, Blümlein, J, Bogacz, A, Bonvini, M, Boonekamp, M, Bordry, F, Boroun, G R, Bottura, L, Bousson, S, Bouzas, A O, Bracco, C, Bracinik, J, Britzger, D, Brodsky, S J, Bruni, C, Brüning, O, Burkhardt, H, Cakir, O, Calaga, R, Caldwell, A, Calıskan, A, Camarda, S, Catalan-Lasheras, N C, Cassou, K, Cepila, J, Cetinkaya, V, Chetvertkova, V, Cole, B, Coleppa, B, Cooper-Sarkar, A, Cormier, E, Cornell, A S, Corsini, R, Cruz-Alaniz, E, Currie, J, Curtin, D, D’Onofrio, M, Dainton, J, Daly, E, Das, A, Das, S P, Dassa, L, de Blas, J, Delle Rose, L, Denizli, H, Deshpande, K S, Douglas, D, Duarte, L, Dupraz, K, Dutta, S, Efremov, A V, Eichhorn, R, Eskola, K J, Ferreiro, E G, Fischer, O, Flores-Sánchez, O, Forte, S, Gaddi, A, Gao, J, Gehrmann, T, Gehrmann-De Ridder, A, Gerigk, F, Gilbert, A, Giuli, F, Glazov, A, Glover, N, Godbole, R M, Goddard, B, Gonçalves, V, Gonzalez-Sprinberg, G A, Goyal, A, Grames, J, Granados, E, Grassellino, A, Gunaydin, Y O, Guo, Y C, Guzey, V, Gwenlan, C, Hammad, A, Han, C C, Harland-Lang, L, Haug, F, Hautmann, F, Hayden, D, Hessler, J, Helenius, I, Henry, J, Hernandez-Sanchez, J, Hesari, H, Hobbs, T J, Hod, N, Hoffstaetter, G H, Holzer, B, Honorato, C G, Hounsell, B, Hu, N, Hug, F, Huss, A, Hutton, A, Islam, R, Iwamoto, S, Jana, S, Jansova, M, Jensen, E, Jones, T, Jowett, J M, Kaabi, W, Kado, M, Kalinin, D A, Karadeniz, H, Kawaguchi, S, Kaya, U, Khalek, R A, Khanpour, H, Kilic, A, Klein, M, Klein, U, Kluth, S, Köksal, M, Kocak, F, Korostelev, M, Kostka, P, Krelina, M, Kretzschmar, J, Kuday, S, Kulipanov, G, Kumar, M, Kuze, M, Lappi, T, Larios, F, Latina, A, Laycock, P, Lei, G, Levitchev, E, Levonian, S, Levy, A, Li, R, Li, X, Liang, H, Litvinenko, V, Liu, M, Liu, T, Liu, W, Liu, Y, Liuti, S, Lobodzinska, E, Longuevergne, D, Luo, X, Ma, W, Machado, M, Mandal, S, Mäntysaari, H, Marhauser, F, Marquet, C, Martens, A, Martin, R, Marzani, S, McFayden, J, Mcintosh, P, Mellado, B, Meot, F, Milanese, A, Milhano, J G, Militsyn, B, Mitra, M, Moch, S, Mohammadi Najafabadi, M, Mondal, S, Moretti, S, Morgan, T, Morreale, A, Nadolsky, P, Navarra, F, Nergiz, Z, Newman, P, Niehues, J, Nissen, E A, Nowakowski, M, Okada, N, Olivier, G, Olness, F, Olry, G, Osborne, J A, Ozansoy, A, Pan, R, Parker, B, Patra, M, Paukkunen, H, Peinaud, Y, Pellegrini, D, Perez-Segurana, G, Perini, D, Perrot, L, Pietralla, N, Pilicer, E, Pire, B, Pires, J, Placakyte, R, Poelker, M, Polifka, R, Polini, A, Poulose, P, Pownall, G, Pupkov, Y A, Queiroz, F S, Rabbertz, K, Radescu, V, Rahaman, R, Rai, S K, Raicevic, N, Ratoff, P, Rashed, A, Raut, D, Raychaudhuri, S, Repond, J, Rezaeian, A H, Rimmer, R, Rinolfi, L, Rojo, J, Rosado, A, Ruan, X, Russenschuck, S, Sahin, M, Salgado, C A, Sampayo, O A, Satendra, K, Satyanarayan, N, Schenke, B, Schirm, K, Schopper, H, Schott, M, Schulte, D, Schwanenberger, C, Sekine, T, Senol, A, Seryi, A, Setiniyaz, S, Shang, L, Shen, X, Shipman, N, Sinha, N, Slominski, W, Smith, S, Solans, C, Song, M, Spiesberger, H, Stanyard, J, Starostenko, A, Stasto, A, Stocchi, A, Strikman, M, Stuart, M J, Sultansoy, S, Sun, H, Sutton, M, Szymanowski, L, Tapan, I, Tapia-Takaki, D, Tanaka, M, Tang, Y, Tasci, A T, Ten-Kate, A T, Thonet, P, Tomas-Garcia, R, Tommasini, D, Trbojevic, D, Trott, M, Tsurin, I, Tudora, A, Turk Cakir, I, Tywoniuk, K, Vallerand, C, Valloni, A, Verney, D, Vilella, E, Walker, D, Wallon, S, Wang, B, Wang, K, Wang, X, Wang, Z S, Wei, H, Welsch, C, Willering, G, Williams, P H, Wollmann, D, Xiaohao, C, Xu, T, Yaguna, C E, Yamaguchi, Y, Yamazaki, Y, Yang, H, Yilmaz, A, Yock, P, Yue, C X, Zadeh, S G, Zenaiev, O, Zhang, C, Zhang, J, Zhang, R, Zhang, Z, Zhu, G, Zhu, S, Zimmermann, F, Zomer, F, Zurita, J, and Zurita, P

Abstract

The Large Hadron–Electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting energy-recovery technology, it collides a novel, intense electron beam with a proton or ion beam from the High-Luminosity Large Hadron Collider (HL-LHC). The accelerator and interaction region are designed for concurrent electron–proton and proton–proton operations. This report represents an update to the LHeC’s conceptual design report (CDR), published in 2012. It comprises new results on the parton structure of the proton and heavier nuclei, QCD dynamics, and electroweak and top-quark physics. It is shown how the LHeC will open a new chapter of nuclear particle physics by extending the accessible kinematic range of lepton–nucleus scattering by several orders of magnitude. Due to its enhanced luminosity and large energy and the cleanliness of the final hadronic states, the LHeC has a strong Higgs physics programme and its own discovery potential for new physics. Building on the 2012 CDR, this report contains a detailed updated design for the energy-recovery electron linac (ERL), including a new lattice, magnet and superconducting radio-frequency technology, and further components. Challenges of energy recovery are described, and the lower-energy, high-current, three-turn ERL facility, PERLE at Orsay, is presented, which uses the LHeC characteristics serving as a development facility for the design and operation of the LHeC. An updated detector design is presented corresponding to the acceptance, resolution, and calibration goals that arise from the Higgs and parton-density-function physics programmes. This paper also presents novel results for the Future Circular Collider in electron–hadron (FCC-eh) mode, which utilises the same ERL technology to further extend the reach of DIS to even higher centre-of-mass energies.

Published
2024

21. A suberized exodermis is required for tomato drought tolerance

Author

Cantó-Pastor, A., Kajala, K., Shaar-Moshe, L., Manzano, C., Timilsena, P., De Bellis, D., Gray, S., Holbein, J., Yang, H., Mohammad, S., Nirmal, N., Suresh, K., Ursache, R., Mason, G. A., Gouran, M., West, D. A., Borowsky, A. T., Shackel, K. A., Sinha, N., Bailey-Serres, J., Geldner, N., Li, Song, Franke, R. B., Brady, S. M., Cantó-Pastor, A., Kajala, K., Shaar-Moshe, L., Manzano, C., Timilsena, P., De Bellis, D., Gray, S., Holbein, J., Yang, H., Mohammad, S., Nirmal, N., Suresh, K., Ursache, R., Mason, G. A., Gouran, M., West, D. A., Borowsky, A. T., Shackel, K. A., Sinha, N., Bailey-Serres, J., Geldner, N., Li, Song, Franke, R. B., and Brady, S. M.

Abstract

Plant roots integrate environmental signals with development using exquisite spatiotemporal control. This is apparent in the deposition of suberin, an apoplastic diffusion barrier, which regulates flow of water, solutes and gases, and is environmentally plastic. Suberin is considered a hallmark of endodermal differentiation but is absent in the tomato endodermis. Instead, suberin is present in the exodermis, a cell type that is absent in the model organism Arabidopsis thaliana. Here we demonstrate that the suberin regulatory network has the same parts driving suberin production in the tomato exodermis and the Arabidopsis endodermis. Despite this co-option of network components, the network has undergone rewiring to drive distinct spatial expression and with distinct contributions of specific genes. Functional genetic analyses of the tomato MYB92 transcription factor and ASFT enzyme demonstrate the importance of exodermal suberin for a plant water-deficit response and that the exodermal barrier serves an equivalent function to that of the endodermis and can act in its place.

Published
2024

28. Study of Perfusion Kinetics in Human Brain Tumor Using Leaky Tracer Kinetic Model of DCE-MRI Data and CFD

Author

Bhandari, A., Bansal, A., Singh, A., Sinha, N., Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Fei, Minrui, editor, Ma, Shiwei, editor, Li, Xin, editor, Sun, Xin, editor, Jia, Li, editor, and Su, Zhou, editor

Published
2017
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40. Role of dyslipidaemia and lipid peroxidation in pregnancy induced hypertension

Author

Saxena S, Thimmaraju KV, Srivastava PC, Mallick AK, Das B, Sinha N, and Dalmia K

Subjects
Pregnancy Induced Hypertension, Eclampsia, Dyslipidaemia, Malondialdehyde, Medicine
Abstract

Background: Pregnancy induced hypertension (PIH) contributes greatly to maternal morbidity and mortality. Altered lipid profile and increased lipid peroxidation activate endothelial dysfunction and atherothrombosis leading to PIH. Therefore, estimation of lipid profile with serum malondialdehyde (MDA) in pregnancy may be helpful in predicting the development of PIH and further progression. Material and methods: In this prospective case-control study, serum lipid profile and MDA were estimated in 70 PIH subjects with gestational hypertension, pre-eclampsia, eclampsia; and 70 normotensive pregnant women aged 18 - 40 years, with gestational age of over 20 weeks. Results: A statistically significant higher serum total cholesterol, very low density lipoprotein cholesterol (VLDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (TG), TC/HDL-C, LDL-C/HDL-C and MDA, and a significantly lower HDL-C was noted in PIH subjects as compared to control subjects. When compared with the severity of PIH, all the lipoproteins (except HDL-C) along with MDA were found to be higher in women with eclampsia when compared with gestational hypertension, pre-eclampsia and normotensive pregnant women. Conclusions: An abnormal lipid metabolism along with oxidative stress may add to the promotion of vascular dysfunction leading to PIH. Lipoproteins and MDA alter significantly in eclampsia. Therefore, during pregnancy, early diagnosis and management of dyslipidaemia may prevent lipid peroxidation and progression of PIH thereby preventing obstetric complications.

Published
2015
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47. COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

Author

Yamada, Y, Cepulic, D, Coll-Martin, T, Debove, S, Gautreau, G, Han, H, Rasmussen, J, Tran, T, Travaglino, G, Blackburn, A, Boullu, L, Bujic, M, Byrne, G, Caniels, M, Flis, I, Kowal, M, Rachev, N, Reynoso-Alcantara, V, Zerhouni, O, Ahmed, O, Amin, R, Aquino, S, Areias, J, Aruta, J, Bamwesigye, D, Bavolar, J, Bender, A, Bhandari, P, Bircan, T, Cakal, H, Capelos, T, Cenek, J, Ch'Ng, B, Chen, F, Chrona, S, Contreras-Ibanez, C, Correa, P, Cristofori, I, Cyrus-Lai, W, Delgado-Garcia, G, Deschrijver, E, Diaz, C, Dilekler, I, Dranseika, V, Dubrov, D, Eichel, K, Ermagan-Caglar, E, Gelpi, R, Gonzalez, R, Griffin, A, Hakim, M, Hanusz, K, Ho, Y, Hristova, D, Hubena, B, Ihaya, K, Ikizer, G, Islam, M, Jeftic, A, Jha, S, Juarez, F, Kacmar, P, Kalinova, K, Kavanagh, P, Kosa, M, Koszalkowska, K, Kumaga, R, Lacko, D, Lee, Y, Lentoor, A, De Leon, G, Lin, S, Lins, S, Lopez, C, Lys, A, Mahlungulu, S, Makaveeva, T, Mamede, S, Mari, S, Marot, T, Martinez, L, Meshi, D, Mola, D, Morales-Izquierdo, S, Musliu, A, Naidu, P, Najmussaqib, A, Natividade, J, Nebel, S, Nezkusilova, J, Nikolova, I, Ninaus, M, Noreika, V, Ortiz, M, Ozery, D, Pankowski, D, Pennato, T, Pirko, M, Pummerer, L, Reyna, C, Romano, E, Sahin, H, Sanli, A, Sayilan, G, Scarpaci, A, Sechi, C, Shani, M, Shata, A, Sikka, P, Sinha, N, Stockli, S, Studzinska, A, Sungailaite, E, Szebeni, Z, Tag, B, Taranu, M, Tisocco, F, Tuominen, J, Turk, F, Uddin, M, Uzelac, E, Vestergren, S, Vilar, R, Wang, A, West, J, Wu, C, Yaneva, T, Yeh, Y, Lieberoth, A, Yamada Y., Cepulic D. -B., Coll-Martin T., Debove S., Gautreau G., Han H., Rasmussen J., Tran T. P., Travaglino G. A., Blackburn A. M., Boullu L., Bujic M., Byrne G., Caniels M. C. J., Flis I., Kowal M., Rachev N. R., Reynoso-Alcantara V., Zerhouni O., Ahmed O., Amin R., Aquino S., Areias J. C., Aruta J. J. B. R., Bamwesigye D., Bavolar J., Bender A. R., Bhandari P., Bircan T., Cakal H., Capelos T., Cenek J., Ch'ng B., Chen F. -Y., Chrona S., Contreras-Ibanez C. C., Correa P. S., Cristofori I., Cyrus-Lai W., Delgado-Garcia G., Deschrijver E., Diaz C., Dilekler I., Dranseika V., Dubrov D., Eichel K., Ermagan-Caglar E., Gelpi R., Gonzalez R. F., Griffin A., Hakim M. A., Hanusz K., Ho Y. W., Hristova D., Hubena B., Ihaya K., Ikizer G., Islam M. N., Jeftic A., Jha S., Juarez F. P. -G., Kacmar P., Kalinova K., Kavanagh P. S., Kosa M., Koszalkowska K., Kumaga R., Lacko D., Lee Y., Lentoor A. G., De Leon G. A., Lin S. -Y., Lins S., Lopez C. R. C., Lys A. E., Mahlungulu S., Makaveeva T., Mamede S., Mari S., Marot T. A., Martinez L., Meshi D., Mola D. J., Morales-Izquierdo S., Musliu A., Naidu P. A., Najmussaqib A., Natividade J. C., Nebel S., Nezkusilova J., Nikolova I., Ninaus M., Noreika V., Ortiz M. V., Ozery D. H., Pankowski D., Pennato T., Pirko M., Pummerer L., Reyna C., Romano E., Sahin H., Sanli A. M., Sayilan G., Scarpaci A., Sechi C., Shani M., Shata A., Sikka P., Sinha N., Stockli S., Studzinska A., Sungailaite E., Szebeni Z., Tag B., Taranu M., Tisocco F., Tuominen J., Turk F., Uddin M. K., Uzelac E., Vestergren S., Vilar R., Wang A. H. -E., West J. N., Wu C. K. S., Yaneva T., Yeh Y. -Y., Lieberoth A., Yamada, Y, Cepulic, D, Coll-Martin, T, Debove, S, Gautreau, G, Han, H, Rasmussen, J, Tran, T, Travaglino, G, Blackburn, A, Boullu, L, Bujic, M, Byrne, G, Caniels, M, Flis, I, Kowal, M, Rachev, N, Reynoso-Alcantara, V, Zerhouni, O, Ahmed, O, Amin, R, Aquino, S, Areias, J, Aruta, J, Bamwesigye, D, Bavolar, J, Bender, A, Bhandari, P, Bircan, T, Cakal, H, Capelos, T, Cenek, J, Ch'Ng, B, Chen, F, Chrona, S, Contreras-Ibanez, C, Correa, P, Cristofori, I, Cyrus-Lai, W, Delgado-Garcia, G, Deschrijver, E, Diaz, C, Dilekler, I, Dranseika, V, Dubrov, D, Eichel, K, Ermagan-Caglar, E, Gelpi, R, Gonzalez, R, Griffin, A, Hakim, M, Hanusz, K, Ho, Y, Hristova, D, Hubena, B, Ihaya, K, Ikizer, G, Islam, M, Jeftic, A, Jha, S, Juarez, F, Kacmar, P, Kalinova, K, Kavanagh, P, Kosa, M, Koszalkowska, K, Kumaga, R, Lacko, D, Lee, Y, Lentoor, A, De Leon, G, Lin, S, Lins, S, Lopez, C, Lys, A, Mahlungulu, S, Makaveeva, T, Mamede, S, Mari, S, Marot, T, Martinez, L, Meshi, D, Mola, D, Morales-Izquierdo, S, Musliu, A, Naidu, P, Najmussaqib, A, Natividade, J, Nebel, S, Nezkusilova, J, Nikolova, I, Ninaus, M, Noreika, V, Ortiz, M, Ozery, D, Pankowski, D, Pennato, T, Pirko, M, Pummerer, L, Reyna, C, Romano, E, Sahin, H, Sanli, A, Sayilan, G, Scarpaci, A, Sechi, C, Shani, M, Shata, A, Sikka, P, Sinha, N, Stockli, S, Studzinska, A, Sungailaite, E, Szebeni, Z, Tag, B, Taranu, M, Tisocco, F, Tuominen, J, Turk, F, Uddin, M, Uzelac, E, Vestergren, S, Vilar, R, Wang, A, West, J, Wu, C, Yaneva, T, Yeh, Y, Lieberoth, A, Yamada Y., Cepulic D. -B., Coll-Martin T., Debove S., Gautreau G., Han H., Rasmussen J., Tran T. P., Travaglino G. A., Blackburn A. M., Boullu L., Bujic M., Byrne G., Caniels M. C. J., Flis I., Kowal M., Rachev N. R., Reynoso-Alcantara V., Zerhouni O., Ahmed O., Amin R., Aquino S., Areias J. C., Aruta J. J. B. R., Bamwesigye D., Bavolar J., Bender A. R., Bhandari P., Bircan T., Cakal H., Capelos T., Cenek J., Ch'ng B., Chen F. -Y., Chrona S., Contreras-Ibanez C. C., Correa P. S., Cristofori I., Cyrus-Lai W., Delgado-Garcia G., Deschrijver E., Diaz C., Dilekler I., Dranseika V., Dubrov D., Eichel K., Ermagan-Caglar E., Gelpi R., Gonzalez R. F., Griffin A., Hakim M. A., Hanusz K., Ho Y. W., Hristova D., Hubena B., Ihaya K., Ikizer G., Islam M. N., Jeftic A., Jha S., Juarez F. P. -G., Kacmar P., Kalinova K., Kavanagh P. S., Kosa M., Koszalkowska K., Kumaga R., Lacko D., Lee Y., Lentoor A. G., De Leon G. A., Lin S. -Y., Lins S., Lopez C. R. C., Lys A. E., Mahlungulu S., Makaveeva T., Mamede S., Mari S., Marot T. A., Martinez L., Meshi D., Mola D. J., Morales-Izquierdo S., Musliu A., Naidu P. A., Najmussaqib A., Natividade J. C., Nebel S., Nezkusilova J., Nikolova I., Ninaus M., Noreika V., Ortiz M. V., Ozery D. H., Pankowski D., Pennato T., Pirko M., Pummerer L., Reyna C., Romano E., Sahin H., Sanli A. M., Sayilan G., Scarpaci A., Sechi C., Shani M., Shata A., Sikka P., Sinha N., Stockli S., Studzinska A., Sungailaite E., Szebeni Z., Tag B., Taranu M., Tisocco F., Tuominen J., Turk F., Uddin M. K., Uzelac E., Vestergren S., Vilar R., Wang A. H. -E., West J. N., Wu C. K. S., Yaneva T., Yeh Y. -Y., and Lieberoth A.

Abstract

This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.

Published
2021

49. Concise Review on Lignocellulolytic Microbial Consortia for Lignocellulosic Waste Biomass Utilization: A Way Forward?

Author

Das, S., Rudra, S., Khatun, I., Sinha, N., Sen, M., and Ghosh, D.

Subjects
WASTE recycling, LIGNOCELLULOSE, SUCCINIC acid, CARBOXYLIC acids, SCIENTIFIC community
Abstract

Lignocellulose biomass (LCB) is a plant waste material that is generated throughout the globe in massive amounts every year and may act as an alternative source of carbon for the generation of various types of value-added products, including biofuels and carboxylic acids (e.g., formic, acetic, and succinic acid). Hence its importance to the scientific community is increasing day by day. However, LCB conversion requires diverse treatment processes, including physical, chemical, and physicochemical processes, which are not economically viable and not sustainable. Hence, the microbiological systems capable of producing desired biocatalysts for generating desired products are being developed. At present, increasing population requires higher amounts of these value-added products, so enhanced efficiency of these processes are essential. As a result, the application of multi-component microbial systems, especially consortium systems, rather than monoculture systems, is prioritized for the amelioration of LCB waste conversion and formation of value-added products. The present review aims to critically analyze the different strategies used by microbial consortia to generate value-added products and discuss the future prospects of this field for the upcoming research. [ABSTRACT FROM AUTHOR]

Published
2023
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