Browsing by Author "M. Verma"

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A new iteration technique for nonlinear operators as concerns convex programming and feasibility problems
(Springer, 2020) D.R. Sahu; A. Pitea; M. Verma
The aim of this work is to develop an S-iteration technique for finding common fixed points for nonself quasi-nonexpansive mappings in the framework of a uniformly convex Banach space. Convergence properties of the proposed algorithm are analyzed in the setting of uniformly convex Banach spaces. To prove the usability of our results, some novel applications are provided, focused on zeros of accretive operators, convex programming, and feasibility problems. Some numerical experiments with real datasets for Lasso problems are provided. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.
Chemical behavior of suspended sediments in a small river draining out of the Himalaya, Tawi River, northern India: Implications on provenance and weathering
(2012) M. Verma; B.P. Singh; A. Srivastava; Meenal Mishra
Mud forms a major portion of the river suspended sediments. Its chemical behavior is significant in determining nature of source rocks, mineral weathering phase and weathering environments. Here, we present the chemical behavior of the sub-sand size (<0.062 mm size) fraction of the suspended sediments of a small river that carries sediments from the Himalaya. The SiO 2and Al 2O 3are inversely proportional with each other and they show decreasing and increasing downstream trends, respectively. The concentration of TiO 2is almost constant in the entire course of the river and the concentrations of Fe 2O 3, CaO and MgO increase downstream. The increase of CaO concentration is coupled with increase of MgO concentration and vice-versa. The MgO and Sr show a strong negative correlation with SiO 2(r 2=-95.5 and -81.2, respectively). The Th/Sc and Zr/Sc ratios reflect a change from the felsic-dominated metamorphic and igneous rocks of the upper reaches to the sedimentary terrain of the lower reaches. This may be because of a change in the provenance where sedimentary rocks of the lower reaches show more contribution from a mafic rock during their sedimentation. Because of the major contributions from the felsic continental crust, the rare earth elements (REEs) show a negative Eu anomaly. This is also reflected by the light rare earth elements (LREEs) enrichment as compared to the upper continental crust (UCC). An average La/ Lu (N) ratio of 22.4 is possible as a result of HREEs depletion and LREEs enrichment similar to other rivers of the world. The abundance of SiO 2in the samples may be because of a relative abundance of quartz in the silt-sized fraction in the mud, and an inverse correlation between the SiO 2and the Al 2O 3may be because of relative abundance of silt and clay fractions. A positive correlation of the Mg and Sr with Ca, and their weak positive correlation with Al 2O 3and a negative correlation with SiO 2imply that they are chiefly related to carbonate weathering. The weathering regime is a result of the subtropical climatic conditions and monsoonal climate prevailing in the catchments of the Tawi River similar to other Himalayan rivers.
Convergence rate analysis of proximal gradient methods with applications to composite minimization problems
(Taylor and Francis Ltd., 2021) D.R. Sahu; J.C. Yao; M. Verma; K.K. Shukla
First-order methods such as proximal gradient, which use Forward–Backward Splitting techniques have proved to be very effective in solving nonsmooth convex minimization problem, which is useful in solving various practical problems in different fields such as machine learning and image processing. In this paper, we propose few new forward–backward splitting algorithms, which consume less number of iterations to converge to an optimum. In addition, we derive convergence rates for the proposed formulations and show that the speed of convergence of these algorithms is significantly better than the traditional forward–backward algorithm. To demonstrate the practical applicability, we apply them to two real-world problems of machine learning and image processing. The first issue deals with the regression on high-dimensional datasets, whereas the second one is the image deblurring problem. Numerical experiments have been conducted on several publicly available real datasets to verify the obtained theoretical results. Results demonstrate the superiority of our algorithms in terms of accuracy, the number of iterations required to converge and the rate of convergence against the classical first-order methods. © 2020 Informa UK Limited, trading as Taylor & Francis Group.
Genetic variability in proso millet [Panicum miliaceum] germplasm of Central Himalayan Region based on morpho-physiological traits and molecular markers
(Polish Academy of Sciences, Institute of Slavic Studies, 2015) A.K. Trivedi; L. Arya; M. Verma; S.K. Verma; R.K. Tyagi; A. Hemantaranjan
Sixteen representative accessions of proso millet [Panicum miliaceum] having distinct traits of agronomic importance were collected from altitudinal range of 510–2,695 m asl in the Central Himalayan Region (CHR) of India. Considerable diversity was found in morpho-physiological traits viz., leaf length (16.80–32.00 cm), leaf width (1.7–2.1 cm), plant height (57.00–134.00 cm), days to 50 % flowering (34–54), days to 80 % maturity (111–144), and 1,000 seed weight (0.68–1.86 g). Collected accessions have been evaluated for a battery of biochemical parameters viz., chlorophyll, carotenoids, lipid peroxidation, cellular hydrogen peroxide, activity of nitrate reductase, lipoxygenase, catalase, peroxidase, superoxide dismutase along with super oxide free radical formation, glutathione (total, reduced, and oxidized), glutathione reductase, glutathione S-transferase, ascorbate (total, reduced, and oxidized), monodehydroascorbate reductase, and didehydroascorbate reductase. The sets of 12 genic-SSRs (simple sequence repeats), 54 ISSR (inter simple sequence repeats), and 40 SRAP (sequence related amplified polymorphism) markers were used to study the level of genetic diversity, and Nei’s gene diversity value of 0.20 was obtained with both ISSR and SRAP markers. SRAP markers showed higher average number of polymorphic bands, % polymorphism, polymorphic information content (PIC), and Shannon information index compared to ISSR markers; genic-SSRs showed no allelic variation. Cluster analysis shows close groupings of germplasm based on morpho-physiological traits as well as molecular markers. The diverse germplasm identified based on molecular markers with considerable diversity in morpho-physiological traits may be utilized for development of climate resilient cultivars. © 2015, Franciszek Górski Institute of Plant Physiology, Polish Academy of Sciences, Kraków.
Hybrid between temperate phage P22 and virulent phage MB78
(1985) M. Verma; M. Chakravorty
Bacteriophage MB78, a virulent phage of Salmonella typhimurium can not grow in rifampicin resistant mutant of the host. However, the temperate phage P22 which grows normally in this host helps MB78 to grow in its non-ermissive host. P22 can not itself multiphy under the condition of mixed infection and the burst size of MB78 is very much reduced. The burst sizes of both are reduced even when the permissive host LT2 is mixedly infected with P22 and MB78. When rifampicin resistant mutants are mixedly infected, only P22-specific mRNAs are produced in the early stage. This is followed by transcriptions from both P22 and MB78 genomes. Subsequently, only MB78-specific messengers are detected in the infected host. Hybrids between the two phages have been isolated from the mixedly infected cells. These hybrids which contain only 15-20% of P22 genome can grow in the rifampicin resistant mutants of the host. the analysis of hetero-duplex between MB78 and hybrid phages revealed the presence of at least three mismatch regions. Experiments are in progress to identify the parts of P22 genome present in the hybrid phage. © 1985.
Interactive effects of sulphur dioxide and mineral nutrient supply on photosynthetic characteristics and yield in four wheat cultivars
(Springer Netherlands, 2000) M. Verma; M. Agrawal; S.S. Deepak
Field experiments were conducted on four cultivars of wheat (Triticum aestivum L.) to examine the variability in cultivar response to sulphur dioxide (SO2) under different concentrations of mineral nutrients. Thirty-days-old plants were exposed for 8 weeks to 390±20 μg m-3 (0.15 ppm) SO2 for 4 h per day, 5 d per week. Decline in net photosynthetic rate, contents of pigments and nitrogen, biomass and grain yield of each cultivars were due to SO2 at all the nutrient concentrations studied. However, the magnitude of reduction was higher in plants grown without nutrient application. On the basis of the reductions in photosynthesis and yield, the susceptibility of wheat cultivars to SO2 was in the order of Malviya 213 > Malviya 37 > Malviya 206 > Malviya 234 at recommended dose of NPK, whereas the same without the nutrients was Malviya 206 > Malviya 234 > Malviya 213 > Malviya 37.
Investigation of lymphocyte subpopulations and hypersensitivity skin tests during the menstrual cycle and pregnancy
(1982) S. Agarwal; H.S. Shukla; M. Verma; S.C. Gupta; K. Mukherjee
Cell-mediated immune responses were examined during the menstrual cycle of 10 healthy females and in 90 pregnant females, 10 for each month of gestation, and in 10 females 2-4 weeks after normal delivery. Lymphocytes and their subpopulations and PPD hypersensitivity skin tests were investigated. The lymphocyte subpopulation T-cells showed statistically significant depression at the time of ovulation (P < 0.01) and during the entire period of gestation (P < 0.001) with recovery in the post-partum period. There was borderline PPD skin response during pregnancy which became positive after parturition. These changes were demonstrated to be specific to conception but the exact mechanism of the T-cell depression is not known. There was a corresponding rise in the B-cell count.
Molecular profiling of foxtail millet (Setaria italica (L.) P. Beauv) from Central Himalayan Region for genetic variability and nutritional quality
(Cambridge University Press, 2018) A.K. Trivedi; L. Arya; S.K. Verma; R.K. Tyagi; A. Hemantaranjan; M. Verma; V.P. Sharma; D. Saha
Agriculture in the Central Himalayan Region depends on the availability of suitable germplasm as well as natural conditions. Due to extreme weather conditions, food and nutrition security is a major issue for communities inhabiting these remote and inaccessible areas. Millets are common crops grown in these areas. Foxtail millet (Setaria italica (L.) P. Beauv) is an important crop and forms a considerable part of the diet in this region. The aim of the present study was to explore, collect, conserve and evaluate the untapped genetic diversity of foxtail millet at the molecular level and discover variability in their nutritional traits. A total of 30 accessions having unique traits of agronomic importance were collected and molecular profiling was performed. A total of 63 alleles were generated with an average of 2.52 alleles per locus and average expected heterozygosity of 0.37 ± 0.231. Significant genetic variability was revealed through the genetic differentiation (Fst) and gene flow (Nm) values. Structure-based analysis divided whole germplasm into three sub-groups. Rich variability was found in nutritional traits such as dietary fibre in husked grains, carbohydrate, protein, lysine and thiamine content. The collected germplasm may be useful for developing nutritionally rich and agronomically beneficial varieties of foxtail millet and also designing strategies for utilization of unexploited genetic diversity for food and nutrition security in this and other similar agro-ecological regions. © 2018 Cambridge University Press.
Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990–2021: findings from the Global Burden of Disease Study 2021
(Elsevier Ltd, 2023) W.M. Gardner; C. Razo; T.A. McHugh; H. Hagins; V.M. Vilchis-Tella; C. Hennessy; H.J. Taylor; N. Perumal; K. Fuller; K.M. Cercy; L.Z. Zoeckler; C.S. Chen; S.S. Lim; A.Y. Aravkin; M.B. Arndt; J.D. Bishai; K. Burkart; E. Chung; X. Dai; L. Dandona; R. Dandona; S.D. Dharmaratne; M.A. Dirac; S.B. Ewald; R. Fitzgerald; M. Hassen; T. Mestrovic; A.H. Mokdad; H. Nassereldine; B.V. Pickering; R.J.D. Sorensen; J.D. Stanaway; P. Zheng; S.I. Hay; C.J.L. Murray; N.J. Kassebaum; A. Misganaw; A. Aali; M. Ghasemi Nour; A. Sahebkar; K.H. Abate; U. Gerema; A.T.T. Gizaw; S. Abd-Elsalam; A.M. Abdurehman; D.B. Enyew; B. Gebremichael; A.D. Kebede; H.A. Meresa; F. Weldegebreal; G. Abebe; Y.D. Abtew; T.K. Kanko; F.W. Demisse; B.T. Dora; E. Yisihak; S. Demissie; Y.H. Gebremariam; G.A. Wubetie; M. Woldemariam; H. Abidi; M. Zoladl; R.G. Aboagye; R.K. Alhassan; M. Immurana; H. Amu; E.E. Tarkang; H. Abolhassani; S. Alvand; S. Azadnajafabad; M. Azangou-Khyavy; S. Ghamari; M. Keykhaei; S. Momtazmanesh; S. Rahmani; M. Rashidi; N. Rezaei; K. Hosseini; E. Mahmoudi; S. Rashedi; F. Kompani; E. Malakan Rad; S. Masoudi; A. Sima; A. Nowroozi; M. Shafeghat; P. Shobeiri; F. Yazdanpanah; G.B. Aboye; M.M.K. Accrombessi; S. Shivalli; D.E. Adane; T.D. Adane; P. Vart; I.Y. Addo; V.R. Keshri; X. Xu; M.A. Adesina; I.I. Olufadewa; M. Ekholuenetale; A.F. Fagbamigbe; K.R. Fowobaje; S.E. Ibitoye; O.S. Ilesanmi; M.O. Owolabi; D.A. Adeyinka; Q.E.S. Adnani; M.S. Afzal; I. Ullah; N. Khalid; S. Afzal; R. Agustina; B.O. Ahinkorah; A. Ahmad; G. Mustafa; S. Ahmad; S. Ahmadi; M. Ajami; S. Doaei; M. Gholamalizadeh; E. Jamshidi; S. Sabour; M. Taheri; M. Zahir; A. Ahmed; T. Ahmed Rashid; W. Aiman; H. Akbarialiabad; A. Bashiri; Z. Zareshahrabadi; F. Alahdab; Z. Al-Aly; N. Alam; A. Alemayehu; M. Ali; S. Almustanyir; R.M. Al-Raddadi; Z.S. Natto; R.H. Al-Rifai; I. Elbarazi; M.A. Khan; K.A. Altirkawi; M. Temsah; Y.S.A. Amer; G.M.T. ElGohary; N. Alvis-Guzman; E.K. Ameyaw; T.F. Anagaw; M.B. Asresie; A.A. Awoke; D.G. Demsie; A.Y. Berhie; G.W. Dagnew; H.A. Guadie; R. Ancuceanu; M. Hostiuc; S. Hostiuc; I. Negoi; R.I. Negoi; A. Anoushirvani; S. Tabaeian; J. Arabloo; M. Dodangeh; D. Moosavi; A. Kabir; M. Noori; A. Tiyuri; M. Antwi; D. Anvari; S. Shorofi; H. Ariffin; T. Aripov; A.O. Oladunjoye; A. Arja; S.M. Legesse; B. Wagaye; J. Arulappan; R.T. Aruleba; T. Ashraf; A.A. Baig; A. Hanif; S. Athari; D. Atlaw; A. Aujayeb; M.A. Awoke; R. Holla; M.D. Janodia; M. Rahman; C.R. Rao; A. Badawi; Z.A. Bhutta; A.D. Badiye; N. Baghcheghi; N. Bagheri; S. Bagherieh; A. Fatehizadeh; M. Banach; P.C. Banik; A.T. Bantie; R.D. Barr; O.P. Kurmi; A.T. Olagunju; A. Barrow; S. Basu; A.M. Batiha; T. Begum; M. Moni; S.M. Billah; S.J. Hossain; M. Siraj; M. Tariqujjaman; M.A. Belete; F.M. Hussien; L. Belo; N. Cruz-Martins; I.M. Bensenor; A.C. Goulart; I.S. Santos; A.S. Bhagavathula; N. Bhardwaj; P. Bhardwaj; S. Misra; S. Singh; S.B. Varthya; A.N. Bhat; A. Boloor; H.L. Dsouza; J. Padubidri; B.K. Shetty; P.H. Shetty; N. Joseph; N. Kumar; R. Thapar; A. Shetty; B. Unnikrishnan; J.K. Das; Z.S. Lassi; B. Bikbov; S. Islam; H. Kandel; K. Nuruzzaman; S. Birara; S. Bitaraf; S. Sadeghian; J.S. Botelho; D. Calina; F. Cembranel; P.A. Chakraborty; G.S. Chanie; G. Dessie; M. Diress; Y. Gela; H.B. Eshetu; M.M. Sharew; W. Simegn; V. Chattu; J. Chien; I.S. Chukwu; M.H. Criqui; O. Dadras; H.A. Danawi; H. Kaur; A. Pandey; V.K. Kamal; A.M. Darwesh; M. Hosseinzadeh; A. Omar Bali; S. Das; V. De La Cruz-Góngora; F. Mejia-Rodriguez; H.D. Desai; M. Desalegn; B.R. Feyisa; G. Fekadu; F.N. Dessalegn; M. Dhimal; U. Paudel; S. Dhingra; D. Diaz; M. Didehdar; M. Golitaleb; M. Harorani; P.N. Doku; D. Dongarwar; H.A. Edinur; A.E.M. Elagali; M.A. Elbahnasawy; A.I. Hasaballah; A.M. Samy; M. Elhadi; W. El-Huneidi; B. Saddik; M.A. Elmonem; R. Ezzeddini; A. Mosapour; L. Zaki; S. Gaihre; A.O. Fasanmi; P. Ram; P.S. Suchdev; M.F. Young; J. Huang; F. Fischer; M. Foroutan; M.A. Gadanya; A.M. Gaidhane; Z. Quazi Syed; A. Gaipov; Y. Galali; D.K. Mohammad; N. Galehdar; P. Garg; M. Mirza; P. Singh; M. Verma; T. Garg; K.B. Gebremedhin; Z. Tamir; L. Getacher; G.B. Mulu; S.S. Yehualashet; K. Ghaffari; M. Ghafourifard; H. Hassankhani; M. Hosseini; A. Mahmoodpoor; M. Mirghafourvand; M. Rahimi; A. Ghashghaee; R. Kalhor; S. Ghozy; J.C. Glasbey; M. Golechha; P. Goleij; G.G. Goyomsa; M.I.M. Gubari; Z. Gudisa; D.A. Gunawardane; R. Gupta; I. Yunusa; S. Gupta; V.K. Gupta; A. Guta; Y. Solomon; A.A. Umer; P. Habibzadeh; S. Hamidi; A.J. Handal; M. Hannan; H. Harapan; M. Hasan; H. Hasani; K. Hayat; G. Heidari; S.Y. Hess; D.Z. Heyi; K. Hezam; Y. Hiraike; L.G. Vu; S. Hussain; I.M. Ilic; L.R. Inbaraj; N. Ismail; L.J. Bds; G. Kumar; D.K. Lal; U. Jayarajah; S. Jayaram; R. Jebai; B. Jemal; T. Muche; B. Seboka; G.A. Zenebe; A. Jeyakumar; R.P. Jha; J.B. Jonas; J.J. Jozwiak; L.R. Kalankesh; I.M. Karaye; F.Z. Kashoo; P.D. Katoto; J.H. Kauppila; A. Pathak; G.A. Kayode; Y.S. Khader; H. Khajuria; B.P. Nayak; M. Shannawaz; M. Khammarnia; H. Okati-Aliabad; I.A. Khan; K. Khatab; Z. Khazaei; M. Taheri Soodejani; J. Khubchandani; Y. Kim; R.W. Kimokoti; S. Kisa; S. Kosen; S. Koulmane Laxminarayana; K. Krishan; B. Kuate Defo; M. Kuddus; O. Kuti; I. Landires; A.O. Larsson; K. Latief; A. Laxmaiah; C. Ledda; M. Vacante; M. Veroux; S. Lee; X. Liu; I. Qattea; S. Sankararaman; L. Lorenzovici; V.S. Machado; J. Mendes; P.B. Mahajan; S. Mahjoub; T. Mallhi; D.C. Malta; S. Masoumi; J.C. Medina; W. Mendoza; O. Mendoza-Cano; A.A. Mentis; T. Miazgowski; A. Mirica; I. Petcu; S. Mohammadi; S. Mohammed; M.B. Sufiyan; S. Mohan; M. Shanawaz; N. Moka; L. Monasta; E. Mostafavi; F. Mulita; A. Musina; A.J. Nagarajan; T.S. Nair; S. Narasimha Swamy; P.M.S. Pradhan; S. Naz; R.Z. Raza; G. Nguefack-Tsague; J.W. Ngunjiri; R.K. Niazi; D. Nurrika; O.J. Nzoputam; B. Oancea; R.M. Obaidur; M.S. Obsa; Y. Sisay; J.N. Odhiambo; R.E. Ogunsakin; O.C. Okonji; O.O. Oladunjoye; A.E.E. Omonisi; A. Ortiz; R. Pakzad; T. Palicz; A. Pandya; P. Papadopoulou; S. Pardhan; J. Patel; A.R. Pathan; R. Paudel; S. Pawar; G. Pereira; N. Perico; G. Remuzzi; S. Perna; N. Perumalsamy; Z.Z. Piracha; R.C.G. Pollok; A. Prashant; F. Rahim; A. Rahman; A. Rahmani; R. Rai; I. Raimondo; S. Rajaa; J. Rana; M.A. Ranjha; S. Rao; S. Rawaf; L. Rawal; E.M.M. Redwan; M. Rezaei; T. Richards; J. Rickard; J.A.B. Rodriguez; L. Roever; G. Roshandel; A. Tahamtan; B. Roy; G.M. Rwegerera; A.M.A. Saad; M. Sadeghi; U. Saeed; H. Sahoo; M.R. Salem; R. Santoro; M. Satpathy; G. Saya; A.M. Senbeta; S. Senthilkumaran; A. Seylani; P.A. Shah; M.A. Shaikh; P. Sharma; R. Sheikhi; S.M. Shenoy; J.K. Shetty; J. Shin; V. Shivarov; M.K. Sikder; D. Vervoort; J.A. Singh; N.P. Singh; A.A. Skryabina; Y. Song; S. Sultana; M.D. Szeto; K. Tan; N.Y. Tat; Y.M. Tefera; A. Thiyagarajan; J.H.V. Ticoalu; B.M. Tigabu; R. Tobe-Gai; M.R. Tovani-Palone; M.T.N. Tran; B.S. Tusa; S. Valadan Tahbaz; P.R. Valdez; S. Vaziri; K. Yari; N.D. Wickramasinghe; T.E. Wonde; A. Yigit; V. Yiǧit; D. Yon; N. Yonemoto; C. Yu; Z. Zhang; B.A. Zaman; N. Zamora; I. Zare; M. Moradi
Background: Anaemia is a major health problem worldwide. Global estimates of anaemia burden are crucial for developing appropriate interventions to meet current international targets for disease mitigation. We describe the prevalence, years lived with disability, and trends of anaemia and its underlying causes in 204 countries and territories. Methods: We estimated population-level distributions of haemoglobin concentration by age and sex for each location from 1990 to 2021. We then calculated anaemia burden by severity and associated years lived with disability (YLDs). With data on prevalence of the causes of anaemia and associated cause-specific shifts in haemoglobin concentrations, we modelled the proportion of anaemia attributed to 37 underlying causes for all locations, years, and demographics in the Global Burden of Disease Study 2021. Findings: In 2021, the global prevalence of anaemia across all ages was 24·3% (95% uncertainty interval [UI] 23·9–24·7), corresponding to 1·92 billion (1·89–1·95) prevalent cases, compared with a prevalence of 28·2% (27·8–28·5) and 1·50 billion (1·48–1·52) prevalent cases in 1990. Large variations were observed in anaemia burden by age, sex, and geography, with children younger than 5 years, women, and countries in sub-Saharan Africa and south Asia being particularly affected. Anaemia caused 52·0 million (35·1–75·1) YLDs in 2021, and the YLD rate due to anaemia declined with increasing Socio-demographic Index. The most common causes of anaemia YLDs in 2021 were dietary iron deficiency (cause-specific anaemia YLD rate per 100 000 population: 422·4 [95% UI 286·1–612·9]), haemoglobinopathies and haemolytic anaemias (89·0 [58·2–123·7]), and other neglected tropical diseases (36·3 [24·4–52·8]), collectively accounting for 84·7% (84·1–85·2) of anaemia YLDs. Interpretation: Anaemia remains a substantial global health challenge, with persistent disparities according to age, sex, and geography. Estimates of cause-specific anaemia burden can be used to design locally relevant health interventions aimed at improving anaemia management and prevention. Funding: Bill & Melinda Gates Foundation. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
Thiolutin-resistant mutants of Salmonella typhimurium
(1982) A. Joshi; M. Verma; M. Chakravorty
[No abstract available]