Browsing by Author "A. Gupta"

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Acute renal failure in Faleiparurn malaria - Increasing prevalence in some areas of India - A need for awareness
(Oxford University Press, 1996) J. Prakash; A. Gupta; O. Kumar; S.B. Rout; V. Malhotra; P.K. Srivastava
Twenty-six cases (4.8%) from a total of 540 patients with acute renal failure (ARF) of diverse aetiology had ARF in association with falciparum malaria. Their ages ranged from 15 to 85 years (mean 31.2). Urinary sediment abnormalities and proteinuria (less than 1 g/24 h) were observed in 15 (57.7%) cases. The probable underlying factors leading to ARF were: volume depletion 17 (65.3%), intravascular haemolysis 8 (30.8%), hyperparasitaemia 8 (30.8%), cholestatic jaundice 6 (23%), and hypotension 5 (19.2%). Dialysis therapy was required in 15 patients (57.7%) as they had severe renal failure, and the remaining 11 patients improved with supportive measures. All patients received antimalarial therapy. The clinical course of ARF was consistent with acute tubular necrosis in 20 patients. Six cases were subjected to percutaneous renal biopsy. One patient showed histological features of necrotizing glomerulonephritis along with acute tubulointerstitial nephritis. The biopsies in the other five patients showed features of acute tubular necrosis in three, and acute interstitial oedema with patchy tubular necrosis in two. The mortality rate was 30.8%. Thus falciparum malaria, which has been an important cause of ARF in certain highly endemic zones of India, is showing an increasing prevalence in other parts such as Eastern Uttar Pradesh due to an imbalance between the increasing population and inadequate sanitary facilities, which further worsen during floods.
Acute renal failure in the elderly: a demographic and clinical study of patients in eastern India.
(1997) J. Prakash; A. Gupta; V. Malhotra; O. Kumar; P.K. Srivastava
A total of 638 patients with acute renal failure (ARF) of diverse etiology were studied over a period of 9 years (July 1985-Dec, 1994) of which 96 (15%) patients were classified as elderly ARF with mean age of 72.5 years. Medical causes accounted for 80% of geriatric ARF while 20% patients, had ARF of surgical origin. Decreased renal perfusion resulting from gastroenteritis was the predominant (52.8%) cause of ARF in the medical group. Nephrotoxic ARF and ARF due to F. malaria were seen in 10 and 7 patients respectively. Obstructive uropathy was observed in 12 patients in surgical group and in remaining 8 patients ARF developed following various surgical procedures. ARF in association with multiorgan failure was not observed in our study. Mortality was seen in 24 patients (25%). The causes of mortality were GI bleed (6), peripheral circulatory failure (5), hyperkalemia (4) and sepsis (4). Thus medical ARF remains the major cause of acute renal failure in elderly patients in our study in contrast to ARF associated with multiorgan failure and surgery in developed countries.
Association of MDR-TB isolates with clinical characteristics of patients from Northern region of India
(Wolters Kluwer Medknow Publications, 2014) A. Gupta; M.R. Nagaraja; P. Kumari; G. Singh; R. Raman; S.K. Singh; S. Anupurb
Purpose: We sought to determine the characteristics and relative frequency of transmission of MDR-TB in North India and their association with the clinical and epidemiological characteristics of TB-patients. Materials and Methods: To achieve the objectives PCR-SSCP, MAS-PCR and direct DNA sequencing were used against 101 Mycobacterium tuberculosis isolates. Results: Multidrug-resistant-TB isolates were found to be significantly higher (P = 0.000) in previously treated patients in comparison to newly diagnosed patients. Further, significant differences (P = 0.003) were observed between different age groups (Mean ± SD, 28.6 ± 11.77) of the TB patients and multidrug resistance. Most frequent mutations were observed at codons 531 and 315 of rpoB and katG genes, respectively, in MDR-TB isolates. Conclusion: Routine surveillance of resistance to anti-TB drugs will improve timely recognition of MDR-TB cases and help prevent further transmission in Northern India.
ATHENA detector proposal - a totally hermetic electron nucleus apparatus proposed for IP6 at the Electron-Ion Collider
(Institute of Physics, 2022) J. Adam; L. Adamczyk; N. Agrawal; C. Aidala; W. Akers; M. Alekseev; M.M. Allen; F. Ameli; A. Angerami; P. Antonioli; N.J. Apadula; A. Aprahamian; W. Armstrong; M. Arratia; J.R. Arrington; A. Asaturyan; E.C. Aschenauer; K. Augsten; S. Aune; K. Bailey; C. Baldanza; M. Bansal; F. Barbosa; L. Barion; K. Barish; M. Battaglieri; A. Bazilevsky; N.K. Behera; V. Berdnikov; J. Bernauer; C. Berriaud; A. Bhasin; D.S. Bhattacharya; J. Bielcik; J. Bielcikova; C. Bissolotti; W. Boeglin; M. Bondì; M. Borri; F. Bossù; F. Bouyjou; J.D. Brandenburg; A. Bressan; M. Brooks; S.L. Bültmann; D. Byer; H. Caines; M. Calderon De La Barca Sanchez; V. Calvelli; A. Camsonne; L. Cappelli; M. Capua; M. Castro; D. Cavazza; D. Cebra; A. Celentano; I. Chakaberia; B. Chan; W. Chang; M. Chartier; C. Chatterjee; D. Chen; J. Chen; K. Chen; Z. Chen; H. Chetri; T. Chiarusi; M. Chiosso; X. Chu; J.J. Chwastowski; G. Cicala; E. Cisbani; E. Cline; I. Cloët; D. Colella; M. Contalbrigo; G. Contin; R. Corliss; Y. Corrales-Morales; J. Crafts; C. Crawford; R. Cruz-Torres; D. D'Ago; A. D'Angelo; N. D'Hose; J. Dainton; S. Dalla Torre; S.S. Dasgupta; S. Dash; N. Dashyan; J. Datta; M. Daugherity; R. De Vita; W. Deconinck; M. Defurne; K. Dehmelt; A. Del Dotto; F. Delcarro; G. Dellacasa; Z.S. Demiroglu; G.W. Deptuch; V. Desai; A. Deshpande; K. Devereaux; R. Dhillon; R. Di Salvo; C. Dilks; D. Dixit; S. Dobbs; X. Dong; J. Drachenberg; A. Drees; R. Dupré; M. Durham; R. Dzhygadlo; L. El Fassi; D. Elia; E. Epple; R. Esha; O. Evdokimov; O. Eyser; D. Falchieri; W. Fan; A. Fantini; R. Fatemi; S. Fazio; S. Fegan; A. Filippi; H. Fox; A. Francisco; A. Freeze; S. Furletov; Y. Furletova; C. Gal; S. Gardner; P. Garg; D. Gaskell; K. Gates; M.T.W. Gericke; F. Geurts; C. Ghosh; M. Giacalone; F. Giacomini; S. Gilchrist; D. Glazier; K. Gnanvo; L. Gonella; L.C. Greiner; N. Guerrini; L. Guo; A. Gupta; R. Gupta; W. Guryn; X. He; T. Hemmick; S. Heppelmann; D. Higinbotham; M. Hoballah; A. Hoghmrtsyan; M. Hohlmann; T. Horn; D. Hornidge; H.Z. Huang; C.E. Hyde; P. Iapozzuto; M. Idzik; B.V. Jacak; M. Jadhav; S. Jain; C. Jena; A. Jentsch; Y. Ji; Z. Ji; J. Jia; P.G. Jones; R.W.I. Jones; S. Joosten; S. Joshi; L. Kabir; G. Kalicy; G. Karyan; V.K.S. Kashyap; D. Kawall; H. Ke; M. Kelsey; J. Kim; J. Kiryluk; A. Kiselev; S.R. Klein; H. Klest; V. Kochar; W. Korsch; L. Kosarzewski; A. Kotzinian; F. Krizek; A. Kumar; K.S. Kumar; L. Kumar; R. Kumar; S. Kumar; A. Kunnath; N. Kushawaha; R. Lacey; Y.S. Lai; K. Lalwani; J. Landgraf; L. Lanza; D. Lattuada; M. Lavinsky; J.H. Lee; S.H. Lee; R. Lemmon; A. Lestone; N. Lewis; H. Li; S. Li; W. Li; W. Li; X. Li; X. Li; X. Liang; T. Ligonzo; T. Lin; J. Liu; K. Liu; M. Liu; K. Livingston; N. Liyanage; T. Ljubicic; O. Long; N. Lukow; Y. Ma; J. Mammei; F. Mammoliti; K. Mamo; I. Mandjavidze; S. Maple; D. Marchand; A. Margotti; C. Markert; P. Markowitz; T. Marshall; A. Martin; H. Marukyan; A. Mastroserio; S. Mathew; S. Mayilyan; C. Mayri; M. McEneaney; Y. Mei; L. Meng; F. Méot; J. Metcalfe; Z.-E. Meziani; P. Mihir; R. Milton; A. Mirabella; M. Mirazita; A. Mkrtchyan; H. Mkrtchyan; B. Mohanty; M. Mondal; A. Morreale; A. Movsisyan; D. Muenstermann; A. Mukherjee; C. Munoz Camacho; M.J. Murray; H. Mustafa; M. Myška; B.P. Nachman; K. Nagai; R. Naik; J.P. Naim; J. Nam; B. Nandi; E. Nappi; Md. Nasim; D. Neff; D. Neiret; P.R. Newman; M. Nguyen; S. Niccolai; M. Nie; F. Noferini; J. Norman; F. Noto; A.S. Nunes; T. O'Connor; G. Odyniec; V.A. Okorokov; M. Osipenko; B. Page; C. Palatchi; D. Palmer; P. Palni; S. Pandey; D. Panzieri; S. Park; K. Paschke; C. Pastore; R.N. Patra; A. Paul; S. Paul; C. Pecar; A. Peck; I. Pegg; C. Pellegrino; C. Peng; L. Pentchev; R. Perrino; K. Piotrzkowski; T. Polakovic; M. Płoskoń; M. Posik; S. Prasad; R. Preghenella; S. Priens; E. Prifti; M. Przybycien; P. Pujahari; A. Quintero; M. Radici; S.K. Radhakrishnan; S. Rahman; S. Rathi; B. Raue; R. Reed; P. Reimer; J. Reinhold; E. Renner; L. Rignanese; M. Ripani; A. Rizzo; D. Romanov; A. Roy; N. Rubini; M. Ruspa; L. Ruan; F. Sabatié; S. Sadhukhan; N. Sahoo; P. Sahu; D. Samuel; A. Sarkar; M. Sarsour; W. Schmidke; B. Schmookler; C. Schwarz; J. Schwiening; M. Scott; I. Sedgwick; M. Segreti; S. Sekula; R. Seto; N. Shah; A. Shahinyan; D. Sharma; N. Sharma; E.P. Sichtermann; A. Signori; A. Singh; B.K. Singh; S.N. Singh; N. Smirnov; D. Sokhan; R. Soltz; W. Sondheim; S. Spinali; F. Stacchi; R. Staszewski; P. Stepanov; S. Strazzi; I.R. Stroe; X. Sun; B. Surrow; Z. Sweger; T.J. Symons; V. Tadevosyan; A. Tang; E. Tassi; L. Teodorescu; F. Tessarotto; D. Thomas; J.H. Thomas; T. Toll; L. Tomášek; F. Torales-Acosta; P. Tribedy; Triloki; V. Tripathi; R. Trotta; M. Trzebiński; B.A. Trzeciak; O. Tsai; Z. Tu; R. Turrisi; C. Tuvè; T. Ullrich; G.M. Urciuoli; A. Valentini; S. Vallarino; M. Vandenbroucke; J. Vanek; G. Vino; G. Volpe; H. Voskanyan; A. Vossen; E. Voutier; G. Wang; Y. Wang; D. Watts; N. Wickramaarachchi; F. Wilson; C.-P. Wong; X. Wu; Y. Wu; J. Xie; Q.-H. Xu; Z. Xu; Z.W. Xu; C. Yang; Q. Yang; Y. Yang; Z. Ye; Z. Ye; L. Yi; Z. Yin; M. Yurov; N. Zachariou; J. Zhang; Y. Zhang; Z. Zhang; Z. Zhang; Y. Zhao; Y.X. Zhao; Z. Zhao; L. Zheng; M. Żurek
ATHENA has been designed as a general purpose detector capable of delivering the full scientific scope of the Electron-Ion Collider. Careful technology choices provide fine tracking and momentum resolution, high performance electromagnetic and hadronic calorimetry, hadron identification over a wide kinematic range, and near-complete hermeticity. This article describes the detector design and its expected performance in the most relevant physics channels. It includes an evaluation of detector technology choices, the technical challenges to realizing the detector and the R&D required to meet those challenges. © 2022 The Author(s).
Autonomic dysfunction with special reference to cardiovascular responses in patients with raised intracranial tension.
(1995) N.K. Singh; S. Chandra; A. Gupta
[No abstract available]
CBM Collaboration
(Elsevier, 2014) T. Ablyazimov; A. Abuhoza; R. Adak; J. Adamczewski-Musch; M. Adamczyk; M.M. Aggarwal; Z. Ahammed; F. Ahmad; N. Ahmad; S. Ahmad; A. Akindinov; P. Akishin; E. Akishina; T. Akishina; V. Akishina; M. Al-Turany; E. Alexandrov; I. Alexandrov; S. Amar-Youcef; M. Andelić; O. Andreeva; C. Andrei; A. Andronic; Yu. Anisimov; H. Appelshäuser; A. Arend; D. Argintaru; E. Atkin; S. Avdeev; R. Averbeck; M.D. Azmi; V. Baban; M. Bach; E. Badura; S. Baginyan; T. Balle; T. Balog; S. Bandyopadhyay; P. Banerjee; N. Baranova; T. Barczyk; D. Bartoş; S. Bashir; Z. Basrak; M. Baszczyk; O. Batenkov; V. Baublis; C. Baumann; M. Baznat; K.-H. Becker; T. Bel; S. Belogurov; J. Bendarouach; I. Berceanu; A. Bercuci; E. Berdermann; A. Berdnikov; Y. Berdnikov; R. Berendes; C. Bergmann; D. Bertini; O. Bertini; C. Beşliu; O. Bezshyyko; P.P. Bhaduri; A. Bhasin; A.K. Bhati; B. Bhattacharjee; A. Bhattacharyya; T.K. Bhattacharyya; S. Biswas; D. Blau; C. Blume; Yu. Bocharov; S. Böttger; M. Borysova; T. Breitner; U. Brüning; J. Brzychczyk; A. Bubak; H. Büsching; A. Bychkov; A. Byszuk; Xu Cai; M. Cãlin; Ping Cao; R. Čaplar; G. Caragheorgheopol; I. Carević; V. Cătănescu; A. Chakrabarti; S. Chatterji; Sanatan Chattopadhyay; Subhasis Chattopadhyay; Hongfang Chen; Jianping Cheng; V. Chepurnov; S. Chernenko; A. Chernogorov; Kyung-Eon Choi; M.I. Ciobanu; G. Claus; F. Constantin; V. Covlea; M. Csanád; N. D'Ascenzo; S. Das; K. Davkov; V. Davkov; J. de Cuveland; B. Debnath; D. Dementiev; Zhi Deng; H. Deppe; I. Deppner; O. Derenovskaya; C.A. Deveaux; M. Deveaux; K. Dey; M. Dey; P. Dillenseger; V. Dobyrn; D. Doering; A. Dorokhov; A. Drozd; A.K. Dubey; S. Dubnichka; A. Dubnichkova; M. Dürr; W. Dulinski; L. Dutka; M. Dželalija; D. Emschermann; H. Engel; V. Eremin; T. Eşanu; J. Eschke; D. Eschweiler; Jongsik Eum; Huanhuan Fan; O. Fateev; I. Filozova; D. Finogeev; P. Fischer; H. Flemming; U. Frankenfeld; V. Friese; E. Friske; I. Fröhlich; J. Frühauf; Á. Fülöp; J. Gajda; T. Galatyuk; A. Galkin; V. Galkin; G. Gangopadhyay; C. García Chávez; I. Gašparić; J. Gebelein; P. Ghosh; S.K. Ghosh; M. Goffe; L. Golinka-Bezshyyko; V. Golovatyuk; S. Golovnya; V. Golovtsov; M. Golubeva; D. Golubkov; A. Gómez Ramírez; S. Gorbunov; S. Gorokhov; D. Gottschalk; P. Gryboś; A. Grzeszczuk; F. Guber; K. Gudima; A. Gupta; Yu. Gusakov; A. Haldar; S. Haldar; H. Hartmann; J. Hehner; K. Heidel; N. Heine; E. Hellbär; A. Herghelegiu; N. Herrmann; B. Heß; J.M. Heuser; A. Himmi; C. Höhne; R. Holzmann; Guangming Huang; Xinjie Huang; J. Hutsch; D. Hutter; E. Iakovleva; A. Ierusalimov; E.-M. Ilgenfritz; M. Irfan; M. Ivanov; Valery Ivanov; Victor Ivanov; Vladimir Ivanov; A. Ivashkin; K. Jaaskelainen; H. Jahan; V. Jain; V. Jakovlev; T. Janson; A. Jipa; I. Kadenko; B. Kämpfer; S. Kalcher; V. Kalinin; K.-H. Kampert; Tae Im Kang; E. Kaptur; R. Karabowicz; O. Karavichev; T. Karavicheva; D. Karmanov; V. Karnaukhov; E. Karpechev; K. Kasiński; G. Kasprowicz; M. Kaur; A. Kazantsev; U. Kebschull; G. Kekelidze; M.M. Khan; S.A. Khan; A. Khanzadeev; F. Khasanov; A. Khvorostukhin; V. Kirakosyan; M. Kirejczyk; A. Kiryakov; M. Kiš; I. Kisel; P. Kisel; S. Kiselev; A. Kiss; T. Kiss; P. Klaus; R. Kłeczek; Ch. Klein-Bösing; V. Kleipa; P. Kmon; K. Koch; L. Kochenda; P. Koczoń; W. König; M. Kohn; B.W. Kolb; A. Kolosova; B. Komkov; J.M. Kopfer; M. Korolev; I. Korolko; R. Kotte; A. Kotynia; A. Kovalchuk; S. Kowalski; M. Koziel; G. Kozlov; P. Kravtsov; E. Krebs; C. Kreidl; D. Kresan; G. Kretschmar; M. Kretz; M. Krieger; E. Kryshen; W. Kucewicz; L. Kudin; A. Kugler; I. Kulakov; J. Kunkel; A. Kurepin; P. Kurilkin; V. Kushpil; V. Kyva; V. Ladygin; C. Lara; P. Larionov; A. Laso Garcia; E. Lavrik; I. Lazanu; A. Lebedev; S. Lebedev; E. Lebedeva; J. Lehnert; J. Lehrbach; F. Lemke; Cheng Li; Jin Li; Qiyan Li; Yuanjing Li; Yulan Li; V. Lindenstruth; S. Linev; B. Linnik; E. Litvinenko; Feng Liu; I. Lobanov; E. Lobanova; S. Löchner; P.-A. Loizeau; J.A. Lucio Martínez; A. Lymanets; A. Maevskaya; S. Mahajan; D.P. Mahapatra; T. Mahmoud; P. Maj; Z. Majka; A. Malakhov; E. Malankin; D. Malkevich; O. Malyatina; H. Malygina; S. Mandal; V. Manko; S. Manz; V. Marin; A.M. Marin Garcia; J. Markert; S. Masciocchi; T. Matulewicz; M. Merkin; V. Mialkovski; J. Michel; N. Miftakhov; K. Mikhailov; V. Mikhaylov; B. Milanović; V. Militsija; M.F. Mir; D. Miskowiec; T. Morhardt; W.F.J. Müller; C. Müntz; Yu. Murin; R. Najman; L. Naumann; T. Nayak; A. Nedosekin; B. Neumann; W. Niebur; V. Nikulin; D. Normanov; M. Nüssle; A. Oancea; Kunsu Oh; Y. Onishchuk; D. Osipov; G. Ososkov; D. Ossetski; P. Otfinowski; E. Ovcharenko; S. Pal; I. Panasenko; N.R. Panda; S. Parzhitskiy; C. Pauly; Haiping Peng; I. Peric; D. Peshekhonov; V. Peshekhonov; V. Petráček; M. Petriş; A. Petrovici; M. Petrovici; A. Petrovskiy; O. Petukhov; K. Piasecki; J. Pieper; J. Pietraszko; R. Płaneta; E. Plekhanov; V. Plotnikov; V. Plujko; J. Pluta; V. Poliakov; P. Polozov; A. Pop; V. Popov; V. Pospisil; B.V.K.S. Potukuchi; J. Pouryamout; K. Poźniak; A. Prakash; M. Prokudin; I. Pshenichnov; M. Pugach; V. Pugatch; S. Querchfeld; L. Radulescu; S. Raha; W. Raja; F. Rami; R. Raniwala; S. Raniwala; A. Raportirenko; J. Rautenberg; J. Rauza; R. Ray; S. Razin; P. Reichelt; S. Reinecke; A. Reshetin; C. Ristea; O. Ristea; F. Roether; R. Romaniuk; A. Rost; E. Rostchin; I. Rostovtseva; A. Roy; J. Rozynek; Yu. Ryabov; V. Rykalin; A. Sadovsky; S. Sadovsky; R. Sahoo; P.K. Sahu; J. Saini; S. Samanta; S.S. Sambyal; V. Samsonov; J. Sánchez Rosado; S. Sau; V. Saveliev; S. Schatral; C. Schiaua; C.J. Schmidt; H.R. Schmidt; K. Schmidt; K. Schweda; A. Scurtu; F. Seck; S. Seddiki; I. Selyuzhenkov; A. Semennikov; A. Senger; P. Senger; A. Shabunov; Ming Shao; M.K. Sharma; N. Shumeiko; V. Shumikhin; B. Sikora; A. Simakov; C. Simon; C. Simons; R.N. Singaraju; A.K. Singh; B.K. Singh; C.P. Singh; V. Singhal; K. Siwek-Wilczyńska; L. Škoda; I. Skwira-Chalot; I. Som; Jihye Song; I. Sorokin; Z. Sosin; D. Soyk; P. Staszel; A. Stavinskiy; E. Stephan; D. Storozhyk; M. Strikhanov; S. Strohauer; J. Stroth; C. Sturm; R. Sultanov; Yongjie Sun; O. Svoboda; R. Szczygieł; R. Talukdar; Zebo Tang; M. Tanha; J. Tarasiuk; O. Tarassenkova; M.-G. Târzilă; V. Tiflov; T. Tischler; P. Tlustý; A. Toia; T. Tolyhi; N. Topil'skaya; C. Trageser; P. Trivedy; I. Tsakov; Yu. Tsyupa; A. Turowiecki; F. Uhlig; E. Usenko; I. Valin; T. Vasiliev; I. Vassiliev; E. Verbitskaya; W. Verhoeven; A. Veshikov; R. Visinka; Y.P. Viyogi; S. Volkov; Yu. Volkov; A. Vorobiev; A. Voronin; V. Vovchenko; E. Vznuzdaev; M. Vznuzdaev; Dong Wang; Yaping Wang; Wang Yi; C. Wendisch; J.P. Wessels; M. Wiebusch; J. Wiechula; B. Wiedemann; D. Wielanek; A. Wieloch; N. Winckler; M. Winter; K. Wiśniewski; D. Wohlfeld; Gy. Wolf; Won Sanguk; J. Wüstenfeld; Changzhou Xiang; Xu Nu; Jun-Gyu Yi; Zhongbao Yin; In-Kwon Yoo; Qian Yue; B. Yuldashev; I. Yushmanov; W. Zabołotny; Yu. Zaitsev; Yu. Zanevsky; M. Zhalov; Ya Peng Zhang; Yifei Zhang; Daicui Zhou; Xianglei Zhu; A. Zinchenko; W. Zipper; M. Zoładź; P. Zrelov; V. Zryuev; P. Zumbruch; M. Zyzak
[No abstract available]
Challenges in QCD matter physics --The scientific programme of the Compressed Baryonic Matter experiment at FAIR
(Springer New York LLC, 2017) T. Ablyazimov; A. Abuhoza; R.P. Adak; M. Adamczyk; K. Agarwal; M.M. Aggarwal; Z. Ahammed; F. Ahmad; N. Ahmad; S. Ahmad; A. Akindinov; P. Akishin; E. Akishina; T. Akishina; V. Akishina; A. Akram; M. Al-Turany; I. Alekseev; E. Alexandrov; I. Alexandrov; S. Amar-Youcef; M. Anđelić; O. Andreeva; C. Andrei; A. Andronic; Yu. Anisimov; H. Appelshäuser; D. Argintaru; E. Atkin; S. Avdeev; R. Averbeck; M.D. Azmi; V. Baban; M. Bach; E. Badura; S. Bähr; T. Balog; M. Balzer; E. Bao; N. Baranova; T. Barczyk; D. Bartoş; S. Bashir; M. Baszczyk; O. Batenkov; V. Baublis; M. Baznat; J. Becker; K.-H. Becker; S. Belogurov; D. Belyakov; J. Bendarouach; I. Berceanu; A. Bercuci; A. Berdnikov; Y. Berdnikov; R. Berendes; G. Berezin; C. Bergmann; D. Bertini; O. Bertini; C. Beşliu; O. Bezshyyko; P.P. Bhaduri; A. Bhasin; A.K. Bhati; B. Bhattacharjee; A. Bhattacharyya; T.K. Bhattacharyya; S. Biswas; T. Blank; D. Blau; V. Blinov; C. Blume; Yu. Bocharov; J. Book; T. Breitner; U. Brüning; J. Brzychczyk; A. Bubak; H. Büsching; T. Bus; V. Butuzov; A. Bychkov; A. Byszuk; Xu Cai; M. Cãlin; Ping Cao; G. Caragheorgheopol; I. Carević; V. Cătănescu; A. Chakrabarti; S. Chattopadhyay; A. Chaus; Hongfang Chen; LuYao Chen; Jianping Cheng; V. Chepurnov; H. Cherif; A. Chernogorov; M.I. Ciobanu; G. Claus; F. Constantin; M. Csanád; N. D’Ascenzo; Supriya Das; Susovan Das; J. de Cuveland; B. Debnath; D. Dementiev; Wendi Deng; Zhi Deng; H. Deppe; I. Deppner; O. Derenovskaya; C.A. Deveaux; M. Deveaux; K. Dey; M. Dey; P. Dillenseger; V. Dobyrn; D. Doering; Sheng Dong; A. Dorokhov; M. Dreschmann; A. Drozd; A.K. Dubey; S. Dubnichka; Z. Dubnichkova; M. Dürr; L. Dutka; M. Dželalija; V.V. Elsha; D. Emschermann; H. Engel; V. Eremin; T. Eşanu; J. Eschke; D. Eschweiler; Huanhuan Fan; Xingming Fan; M. Farooq; O. Fateev; Shengqin Feng; S.P.D. Figuli; I. Filozova; D. Finogeev; P. Fischer; H. Flemming; J. Förtsch; U. Frankenfeld; V. Friese; E. Friske; I. Fröhlich; J. Frühauf; J. Gajda; T. Galatyuk; G. Gangopadhyay; C. García Chávez; J. Gebelein; P. Ghosh; S.K. Ghosh; S. Gläßel; M. Goffe; L. Golinka-Bezshyyko; V. Golovatyuk; S. Golovnya; V. Golovtsov; M. Golubeva; D. Golubkov; A. Gómez Ramírez; S. Gorbunov; S. Gorokhov; D. Gottschalk; P. Gryboś; A. Grzeszczuk; F. Guber; K. Gudima; M. Gumiński; A. Gupta; Yu. Gusakov; Dong Han; H. Hartmann; Shue He; J. Hehner; N. Heine; A. Herghelegiu; N. Herrmann; B. Heß; J.M. Heuser; A. Himmi; C. Höhne; R. Holzmann; Dongdong Hu; Guangming Huang; Xinjie Huang; D. Hutter; A. Ierusalimov; E.-M. Ilgenfritz; M. Irfan; D. Ivanischev; M. Ivanov; P. Ivanov; Valery Ivanov; Victor Ivanov; Vladimir Ivanov; A. Ivashkin; K. Jaaskelainen; H. Jahan; V. Jain; V. Jakovlev; T. Janson; Di Jiang; A. Jipa; I. Kadenko; P. Kähler; B. Kämpfer; V. Kalinin; J. Kallunkathariyil; K.-H. Kampert; E. Kaptur; R. Karabowicz; O. Karavichev; T. Karavicheva; D. Karmanov; V. Karnaukhov; E. Karpechev; K. Kasiński; G. Kasprowicz; M. Kaur; A. Kazantsev; U. Kebschull; G. Kekelidze; M.M. Khan; S.A. Khan; A. Khanzadeev; F. Khasanov; A. Khvorostukhin; V. Kirakosyan; M. Kirejczyk; A. Kiryakov; M. Kiš; I. Kisel; P. Kisel; S. Kiselev; T. Kiss; P. Klaus; R. Kłeczek; Ch. Klein-Bösing; V. Kleipa; V. Klochkov; P. Kmon; K. Koch; L. Kochenda; P. Koczoń; W. Koenig; M. Kohn; B.W. Kolb; A. Kolosova; B. Komkov; M. Korolev; I. Korolko; R. Kotte; A. Kovalchuk; S. Kowalski; M. Koziel; G. Kozlov; V. Kozlov; V. Kramarenko; P. Kravtsov; E. Krebs; C. Kreidl; I. Kres; D. Kresan; G. Kretschmar; M. Krieger; A.V. Kryanev; E. Kryshen; M. Kuc; W. Kucewicz; V. Kucher; L. Kudin; A. Kugler; Ajit Kumar; Ashwini Kumar; L. Kumar; J. Kunkel; A. Kurepin; N. Kurepin; A. Kurilkin; P. Kurilkin; V. Kushpil; S. Kuznetsov; V. Kyva; V. Ladygin; C. Lara; P. Larionov; A. Laso García; E. Lavrik; I. Lazanu; A. Lebedev; S. Lebedev; E. Lebedeva; J. Lehnert; J. Lehrbach; Y. Leifels; F. Lemke; Cheng Li; Qiyan Li; Xin Li; Yuanjing Li; V. Lindenstruth; B. Linnik; Feng Liu; I. Lobanov; E. Lobanova; S. Löchner; P.-A. Loizeau; S.A. Lone; J.A. Lucio Martínez; Xiaofeng Luo; A. Lymanets; Pengfei Lyu; A. Maevskaya; S. Mahajan; D.P. Mahapatra; T. Mahmoud; P. Maj; Z. Majka; A. Malakhov; E. Malankin; D. Malkevich; O. Malyatina; H. Malygina; M.M. Mandal; S. Mandal; V. Manko; S. Manz; A.M. Marin Garcia; J. Markert; S. Masciocchi; T. Matulewicz; L. Meder; M. Merkin; V. Mialkovski; J. Michel; N. Miftakhov; L. Mik; K. Mikhailov; V. Mikhaylov; B. Milanović; V. Militsija; D. Miskowiec; I. Momot; T. Morhardt; S. Morozov; W.F.J. Müller; C. Müntz; S. Mukherjee; C.E. Muñoz Castillo; Yu. Murin; R. Najman; C. Nandi; E. Nandy; L. Naumann; T. Nayak; A. Nedosekin; V.S. Negi; W. Niebur; V. Nikulin; D. Normanov; A. Oancea; Kunsu Oh; Yu. Onishchuk; G. Ososkov; P. Otfinowski; E. Ovcharenko; S. Pal; I. Panasenko; N.R. Panda; S. Parzhitskiy; V. Patel; C. Pauly; M. Penschuck; D. Peshekhonov; V. Peshekhonov; V. Petráček; M. Petri; M. Petriş; A. Petrovici; M. Petrovici; A. Petrovskiy; O. Petukhov; D. Pfeifer; K. Piasecki; J. Pieper; J. Pietraszko; R. Płaneta; V. Plotnikov; V. Plujko; J. Pluta; A. Pop; V. Pospisil; K. Poźniak; A. Prakash; S.K. Prasad; M. Prokudin; I. Pshenichnov; M. Pugach; V. Pugatch; S. Querchfeld; S. Rabtsun; L. Radulescu; S. Raha; F. Rami; R. Raniwala; S. Raniwala; A. Raportirenko; J. Rautenberg; J. Rauza; R. Ray; S. Razin; P. Reichelt; S. Reinecke; A. Reinefeld; A. Reshetin; C. Ristea; O. Ristea; A. Rodriguez Rodriguez; F. Roether; R. Romaniuk; A. Rost; E. Rostchin; I. Rostovtseva; Amitava Roy; Ankhi Roy; J. Rożynek; Yu. Ryabov; A. Sadovsky; R. Sahoo; P.K. Sahu; S.K. Sahu; J. Saini; S. Samanta; S.S. Sambyal; V. Samsonov; J. Sánchez Rosado; O. Sander; S. Sarangi; T. Satława; S. Sau; V. Saveliev; S. Schatral; C. Schiaua; F. Schintke; C.J. Schmidt; H.R. Schmidt; K. Schmidt; J. Scholten; K. Schweda; F. Seck; S. Seddiki; I. Selyuzhenkov; A. Semennikov; A. Senger; P. Senger; A. Shabanov; A. Shabunov; Ming Shao; A.D. Sheremetiev; Shusu Shi; N. Shumeiko; V. Shumikhin; I. Sibiryak; B. Sikora; A. Simakov; C. Simon; C. Simons; R.N. Singaraju; A.K. Singh; B.K. Singh; C.P. Singh; V. Singhal; M. Singla; P. Sitzmann; K. Siwek-Wilczyńska; L. Škoda; I. Skwira-Chalot; I. Som; Guofeng Song; Jihye Song; Z. Sosin; D. Soyk; P. Staszel; M. Strikhanov; S. Strohauer; J. Stroth; C. Sturm; R. Sultanov; Yongjie Sun; D. Svirida; O. Svoboda; A. Szabó; R. Szczygieł; R. Talukdar; Zebo Tang; M. Tanha; J. Tarasiuk; O. Tarassenkova; M.-G. Târzilă; M. Teklishyn; T. Tischler; P. Tlustý; T. Tölyhi; A. Toia; N. Topil’skaya; M. Träger; S. Tripathy; I. Tsakov; Yu. Tsyupa; A. Turowiecki; N.G. Tuturas; F. Uhlig; E. Usenko; I. Valin; D. Varga; I. Vassiliev; O. Vasylyev; E. Verbitskaya; W. Verhoeven; A. Veshikov; R. Visinka; Y.P. Viyogi; S. Volkov; A. Volochniuk; A. Vorobiev; Aleksey Voronin; Alexander Voronin; V. Vovchenko; M. Vznuzdaev; Dong Wang; Xi-Wei Wang; Yaping Wang; Yi Wang; M. Weber; C. Wendisch; J.P. Wessels; M. Wiebusch; J. Wiechula; D. Wielanek; A. Wieloch; A. Wilms; N. Winckler; M. Winter; K. Wiśniewski; Gy. Wolf; Sanguk Won; Ke-Jun Wu; J. Wüstenfeld; Changzhou Xiang; Nu Xu; Junfeng Yang; Rongxing Yang; Zhongbao Yin; In-Kwon Yoo; B. Yuldashev; I. Yushmanov; W. Zabołotny; Yu. Zaitsev; N.I. Zamiatin; Yu. Zanevsky; M. Zhalov; Yifei Zhang; Yu Zhang; Lei Zhao; Jiajun Zheng; Sheng Zheng; Daicui Zhou; Jing Zhou; Xianglei Zhu; A. Zinchenko; W. Zipper; M. Żoładź; P. Zrelov; V. Zryuev; P. Zumbruch; M. Zyzak
Substantial experimental and theoretical efforts worldwide are devoted to explore the phase diagram of strongly interacting matter. At LHC and top RHIC energies, QCD matter is studied at very high temperatures and nearly vanishing net-baryon densities. There is evidence that a Quark-Gluon-Plasma (QGP) was created at experiments at RHIC and LHC. The transition from the QGP back to the hadron gas is found to be a smooth cross over. For larger net-baryon densities and lower temperatures, it is expected that the QCD phase diagram exhibits a rich structure, such as a first-order phase transition between hadronic and partonic matter which terminates in a critical point, or exotic phases like quarkyonic matter. The discovery of these landmarks would be a breakthrough in our understanding of the strong interaction and is therefore in the focus of various high-energy heavy-ion research programs. The Compressed Baryonic Matter (CBM) experiment at FAIR will play a unique role in the exploration of the QCD phase diagram in the region of high net-baryon densities, because it is designed to run at unprecedented interaction rates. High-rate operation is the key prerequisite for high-precision measurements of multi-differential observables and of rare diagnostic probes which are sensitive to the dense phase of the nuclear fireball. The goal of the CBM experiment at SIS100 (sNN= 2.7--4.9 GeV) is to discover fundamental properties of QCD matter: the phase structure at large baryon-chemical potentials (μB> 500 MeV), effects of chiral symmetry, and the equation of state at high density as it is expected to occur in the core of neutron stars. In this article, we review the motivation for and the physics programme of CBM, including activities before the start of data taking in 2024, in the context of the worldwide efforts to explore high-density QCD matter. © 2017, SIF, Springer-Verlag Berlin Heidelberg.
Children presenting with hydatid cysts in common bile duct and choledochal cyst
(Springer-Verlag, 1993) S. Chooramani Gopal; A.N. Gangopadhyay; A. Gupta
Hydatid cysts developing primarily in the common bile duct are extremely rare. Occasionally, hydatid cysts rupture into the extrahepatic biliary ducts and cause obstruction [1-7]. Two children with intact hydatid cysts in the common bile duct and choledochal cysts were seen during a 2-year period in the Paediatric Surgery Division of the Children's Hospital, Banaras Hindu University, Varanasi. The details of their presentation and operative management are reported. © 1993 Springer-Verlag.
Dexamethasone in adults with bacterial meningitis
(1996) A. Gupta; N.K. Singh
Seventy five patients of acute bacterial meningitis, aged 12 to 70 years, were randomized to two treatment groups. In addition to standard antibiotic therapy, one group received dexamethasone in a dose of 8 mg, 6 hourly for 7 days. The main outcome measures used were (a) Rapidity of recovery parameters, namely, time to defervesence, disappearance of neck rigidity and return of consciousness (b) Incidence of neurological complications during hospitalization and follow-up (c) Mortality. There were no significant differences in outcome between the two treatment groups in any of the clinical parameters assessed. The use of dexamethasone as an adjunct does not speed recovery from acute illness and does not reduce the incidence of neurological complications or death in adult patients with acute bacterial meningitis.
Do corticosteriods influence the disease course or mortality in Guillain - Barre' Syndrome?
(1996) N.K. Singh; A. Gupta
Forty - six patients of Guillain - Barre' Syndrome were randomized to receive either prednisolone (40 mg daily for 2 weeks and then tapered off) or placebo. The patients were followed up for 6 months and were assessed on an objective scale of disability. The improvement in mean disability grade was significantly better at 2 weeks and 4 weeks in the placebo group as compared to those who received corticosteroids. The difference persisted at 24 weeks, but was statistically insignificant. A greater proportion of patients in the placebo group had improved by at least 1 disability grade at all points of time. Thr group of patients treated with steroids took twice as long to improve by 1 disability grade as compared to those in the placebo group. At 6 months, 41.7% of the patients in the steroid group had recovered almost compeltely (good outcome) as compared to 54.5% of the patients in the placebo group. Corticosteroids, therefore, do not appear to benefit GBS patients, and may in fact, delay the recovery from acute illness.
Effect of Climate Change on Agricultural Crops
(Elsevier Inc., 2017) R.K. Mall; A. Gupta; G. Sonkar
Crop production is vulnerable to climate variability, and climate change associated with increases in temperature, increases in CO2, and changing patterns of rainfall may lead to a considerable decline in crop production. Also, extreme weather events such as droughts, extreme heat waves, and heavy rainfall leading to floods have increased in past decades. Enhancing crop production to meet rising demands owing to the increasing population, against the background of the threats of climate change, is a challenging task. Therefore we require more attention to adaptation and mitigation research, capacity building, change in policies, national/regional cooperation, and the support of national/global adaptation funds and other resources to minimize adverse impacts. Adaptation to climate variability and extreme events serves as the basis for reducing vulnerability to long-term climate change. Simple adaptation practices such as using climate-ready crops or thermal stress-tolerant varieties, adjusting planting dates, improving water conservation and management practices, using efficient irrigation and fertilizer management, diversifying crops, and improving pest management could help reduce the impacts of climate change. Apart from those, reliable local weather information and early warning systems for farmers will be useful in minimizing risks of climatic threats. © 2017 Elsevier B.V. All rights reserved.
Elevated plasminogen activator inhibitor type-1 (PAI-1) as contributing factor in pathogenesis of hypercoagulable state in antiphospholipid syndrome
(Springer Verlag, 2013) N.K. Singh; A. Gupta; Dibya R. Behera; D. Dash
The aim of this study is to explore the role of plasminogen activator inhibitor type 1 (PAI-1) in primary and secondary antiphospholipid syndrome (APS). Thirty patients of APS (24 primary and 6 secondary) were recruited in the study who fulfilled the revised Sapporo criteria. Control groups comprised of age- and sex-matched 10 healthy volunteers and 10 patients each of systemic lupus erythematosus and rheumatoid arthritis without any antecedent thrombotic event and/or APS-related pregnancy morbidity. Serum samples were tested for PAI-1 antigen levels measured by quantitative ELISA. Positivity rate of PAI-1 in patients of primary, secondary as well as total APS patients was significantly higher in relation to age- and sex-matched healthy volunteers (p = 0.010, p = 0.003 and p < 0.001, respectively). Mean ± SEM levels of PAI-1 in primary and secondary as well as total APS patients were significantly higher (p = 0.006, p < 0.001 and p < 0.001) in relation to healthy controls. Correlation of PAI-1 levels (mean ± SEM) with clinical characteristics, that is, thrombosis and pregnancy morbidity, revealed significantly higher levels of PAI-1 (p < 0.001) in patients having thrombosis and APS-related pregnancy morbidity. Elevated PAI-1 level leading to impaired fibrinolysis plays a significant role in producing hypercoagulable state in primary and secondary APS. © 2013 Springer-Verlag Berlin Heidelberg.
Evaluation of CORDEX- South Asia regional climate models for heat wave simulations over India
(Elsevier Ltd, 2021) Saumya Singh; R.K. Mall; J. Dadich; S. Verma; J.V. Singh; A. Gupta
The episodes of heat wave events have strengthened in recent decades causing great concern for human health, agriculture and natural ecosystem. In the present study, Regional Climate Models (RCMs) namely, CCAM and RegCM, from Coordinated Regional Climate Downscaling Experiments (CORDEX) for South Asia (SA) are evaluated for simulating heat waves (March–June) for a long-term period (1971 to 2005) over India in comparison with observations from India Meteorological Department (IMD). The statistical analysis (correlation, RMSE, MAE, ECDF) results reveal differences in RCMs in simulating spatial pattern and trends of maximum temperature before bias correction. Variance scaling bias correction is found to remove bias and improve model simulations in capturing temperature variability. An increase in correlation in daily observations from 0.24 to 0.70 and reduction in RMSE from 8.08 °C to 2.02 °C and MAE from 3.87 °C to 2.43 °C after bias correction is observed between model and observation. LMDZ4 and GFDL-ESM2M are found to perform best in simulating interannual variability of seasonal mean maximum temperature with an underestimation of −7.74% and −15.41% which improved significantly to around −1.51% and − 0.78%, respectively after bias correction over India. LMDZ4 and GFDL-ESM2M are also best-performing models in significantly reproducing the heat wave frequency and spatial variability in closer proximity with observations over India amongst all models after bias correction. Over NW and western regions, the LMDZ4 and GFDL-ESM2M ensemble models successfully capture the increasing trend of 0.2 events/year and 0.4 events/year accordance to IMD and IITM criteria, respectively. However, the ACCESS1.0, CNRM-CM5 and CCSM4 ensemble experiments overestimated heat waves by ±40 events in most sub-divisions in India. Over the central Indian regions, the ACCESS 1.0 and CNRM-CM5 model output show a negative trend of −0.2 events/year and large spatial variability possibly due to model associated uncertainties. Overall the results show an improvement in capturing maximum temperature and heat waves across the regions of Indian sub-continent in the bias-corrected downscaled CORDEX-SA ensemble RCMs than without bias-corrected output. The study suggests a way forward to assess RCMs performance and uncertainty in extreme weather analysis in future projections. © 2020 Elsevier B.V.
Evaluation of RegCM4 climate model for assessment of climate change impact on crop production
(India Meteorological Department, 2018) Nidhi Singh; R.K. Mall; Geetika Sonkar; K.K. Singh; A. Gupta
For evaluating the impacts of climate change on crop yields regional climate models (RCMs) are now considered better than general circulation models (GCMs). In order to assess what extent the climate output of RCM-RegCM4.0 is biased, this is analysed by comparing the base line simulated daily weather with the observed weather for the corresponding year (1971-2000) over Varanasi. The result shows that the RCM output is biased towards lower annual maximum and minimum temperature by 5.4 °C and 1.7 °C respectively. Seasonal analysis shows that the RCM output is underestimating the kharif (Rice) season maximum and minimum temperature by 3.0 °C and 1.5 °C respectively and the rabi (wheat) season maximum and minimum temperature by 6.7 °C and 1.4 °C respectively. The RCM output overestimates the annual and rabi rainfall while it underestimates kharif rainfall. It is also overestimating the annual, kharif and rabi season rainy days. Most importantly, model underestimates the extreme events, i.e., extreme temperature and heavy rainfall. The study also includes assessment of biasness in yields of wheat and rice simulated using CERES-wheat and CERES-rice crop models employing observed and RCM simulated weather data. Due to biasness in the extreme events in RCM baseline data the simulated wheat and rice grain yield during several years were overestimated compared to observed yield. The present RCM output is overestimating the different climatic variables in comparison to present observed climate for annual as well as seasonal. Therefore, framing of better management practices, mitigation programme and planning and policy making based on climate model output must ensure to get the reliable and validated RCM climate output. For that we need more precise and improved regional climate models through more research in climate modelling. © 2018, India Meteorological Department. All rights reserved.
Identification of new donors for spot blotch resistance in cultivated wheat germplasm
(Cereal Research Non-Profit Company, 2018) J. Kumari; S. Kumar; N. Singh; S.S. Vaish; S. Das; A. Gupta; J.C. Rana
One thousand four hundred and eighty three spring wheat germplasm (Triticum aestivum L.) lines comprising Indian as well as exotic lines were screened for resistance to spot blotch disease during winter 2014-15 at hot spot locations i.e., Banaras Hindu University, Varanasi and Uttar Banga Krishi Vishwavidyalaya, Cooch Behar. Severity of the disease at different stages beginning from tillering to dough stage was recorded. Location Severity Index (LSI) of Varanasi was higher than Cooch Behar. Twenty eight accessions were resistant or highly resistant at both locations. These 28 accessions were validated during the winter season (2015–2016). These germplasm were also evaluated at four environments for agronomic traits. Out of 28 accessions, seven (IC564121, IC529684, IC443669, IC443652, IC529962, IC548325 and EC178071-331) were highly resistant across the locations and over the years of study. These accessions comprised one exotic and six indigenous accessions belonging to Uttarakhand and Haryana. Two lines (IC529962 and IC443652) had higher yield than the best check at all the locations. These lines showing highly resistant reaction alongwith wider adaptability can be expedited for direct cultivation or for the development of high yielding and disease resistant cultivars. These lines can also be used for identification of novel resistance gene using allele mining tools and their deployment for the development of spot blotch resistant cultivars. © 2018 Akadémiai Kiadó, Budapest.
Immunosuppressive effects of Amura rohitaka and prednisolone on experimental allergic orchitis in guineapigs
(1978) A. Gupta; R.M. Gupta; I.M. Gupta
[No abstract available]
Immunosuppressive effects of Amura rohitaka and prednisolone on normal guineapig
(1977) A. Gupta; R.M. Gupta; I.M. Gupta; K.N. Udupa; L.M. Singh
[No abstract available]
Indian National Association for the Study of the Liver—Federation of Obstetric and Gynaecological Societies of India Position Statement on Management of Liver Diseases in Pregnancy
(Elsevier B.V., 2019) Anil Arora; Ashish Kumar; Anil C. Anand; Pankaj Puri; Radha K. Dhiman; Subrat K. Acharya; K. Aggarwal; Neelam Aggarwal; Rakesh Aggarwal; Yogesh K. Chawla; Vinod K. Dixit; Ajay Duseja; Chundamannil E. Eapen; Bhabadev Goswami; Kanwal Gujral; A. Gupta; A. Jindal; Premashish Kar; Krishna Kumari; Kaushal Madan; Jaideep Malhotra; Narendra Malhotra; Gaurav Pandey; Uma Pandey; Ratna D. Puri; Ramesh R. Rai; Padaki N. Rao; Shiv K. Sarin; Aparna Sharma; Praveen Sharma; Koticherry T. Shenoy; Karam R. Singh; Shivaram P. Singh; Vanita Suri; Nirupama Trehanpati; M. Wadhawan
Liver diseases occurring during pregnancy can be serious and can progress rapidly, affecting outcomes for both the mother and fetus. They are a common cause of concern to an obstetrician and an important reason for referral to a hepatologist, gastroenterologist, or physician. Liver diseases during pregnancy can be divided into disorders unique to pregnancy, those coincidental with pregnancy, and preexisting liver diseases exacerbated by pregnancy. A rapid differential diagnosis between liver diseases related or unrelated to pregnancy is required so that specialist and urgent management of these conditions can be carried out. Specific Indian guidelines for the management of these patients are lacking. The Indian National Association for the Study of the Liver (INASL) in association with the Federation of Obstetric and Gynaecological Societies of India (FOGSI) had set up a taskforce for development of consensus guidelines for management of patients with liver diseases during pregnancy, relevant to India. For development of these guidelines, a two-day roundtable meeting was held on 26–27 May 2018 in New Delhi, to discuss, debate, and finalize the consensus statements. Only those statements that were unanimously approved by most members of the taskforce were accepted. The primary objective of this review is to present the consensus statements approved jointly by the INASL and FOGSI for diagnosing and managing pregnant women with liver diseases. This article provides an overview of liver diseases occurring in pregnancy, an update on the key mechanisms involved in its pathogenesis, and the recommended treatment options. © 2019
Indian National Gamma Array at Inter University Accelerator Centre, New Delhi
(2010) S. Muralithar; K. Rani; R. Kumar; R.P. Singh; J.J. Das; J. Gehlot; K.S. Golda; A. Jhingan; N. Madhavan; S. Nath; P. Sugathan; T. Varughese; M. Archunan; P. Barua; A. Gupta; M. Jain; A. Kothari; B.P.A. Kumar; A.J. Malyadri; U.G. Naik; Raj Kumar; Rajesh Kumar; J. Zacharias; S. Rao; S.K. Saini; S.K. Suman; M. Kumar; E.T. Subramaniam; S. Venkataramanan; A. Dhal; G. Jnaneswari; D. Negi; M.K. Raju; T. Trivedi; R.K. Bhowmik
A 4π multi-detector gamma-ray spectrometer named the Indian National Gamma Array (INGA) has been set up at the Inter University Accelerator Centre, New Delhi, for nuclear structure studies. The array is designed to incorporate twenty four Compton-suppressed Clover germanium detectors with a total photopeak efficiency ∼5%. The spectrometer along with sub-systems developed in-house like, mechanical support structure, high voltage power supplies, automatic liquid nitrogen filling system, front-end electronics and data acquisition system are described. The mechanical support structure facilitates the use of the Clover Germanium array with a recoil mass separator. The array has been used in a number of nuclear spectroscopic investigations. The in-beam and off-beam performance of the array are reported. © 2010 Elsevier B.V.
Indian National Gamma Array at IUAC
(Institute of Physics Publishing, 2011) S. Muralithar; K. Rani; R.P. Singh; R. Kumar; J.J. Das; J. Gehlot; K.S. Golda; A. Jhingan; N. Madhavan; S. Nath; P. Sugathan; T. Varughese; M. Archunan; P. Barua; A. Gupta; M. Jain; A. Kothari; B.P.A. Kumar; A.J. Malyadri; U.G. Naik; Raj Kumar; Rajesh Kumar; J. Zacharias; S. Rao; S.K. Saini; S.K. Suman; M. Kumar; E.T. Subramaniam; S. Venkataramanan; A. Dhal; G. Jnaneswari; D. Negi; M.K. Raju; T. Trivedi; R.K. Bhowmik
Indian National Gamma Array (INGA) is a 4π multi-detector gamma-ray spectrometer based on twenty four Compton-suppressed Clover Germanium detectors with a total photo peak efficiency ∼ 5 %. INGA was designed to perform high resolution gamma-ray spectroscopy to study nuclear structure at high spins with stable ion beams at Inter University Accelerator Centre (IUAC). Description of the facility and performance of the array are presented in this paper. Since its commissioning, a number of nuclear spectroscopic investigations have been carried out using the array.