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1. Bluetongue in India: a systematic review and meta-analysis with emphasis on diagnosis and seroprevalence

Author: Ramkumar N. Rupner, O. R. VinodhKumar, R. Karthikeyan, D. K. Sinha, K. P. Singh, Z. B. Dubal, Shikha Tamta, V. K. Gupta, B. R. Singh, Y. S. Malik, and K. Dhama
Subjects: bluetongue, sheep, goat, cattle, camel, mithun, diagnosis, seroprevalence, meta-analysis, india, Veterinary medicine, SF600-1100
Abstract: Bluetongue (BT) is an infectious viral disease which affects a wide range of ruminants and was first reported in India in 1964. In view of the absence of comprehensive information on the BT status in India, this study presents the seroprevalence on BT in farm animals of India based-on a systematic review and meta-analysis. A systematic review was conducted to identify the published articles (2001–2018) reporting the seroprevalence of BT in sheep, goats, cattle, buffalo, camels, and Mithun (Bos frontalis) from India. From 409 research articles, 71 fulfilled the inclusion criteria and meta-analysis for proportions was carried out targeting the eligible studies. From these, 144 strata level data were extracted with a sample size of 14048 sheep, 14696 goats, 5218 cattle, 2653 buffaloes, 2062 camels, and 222 Mithun. Overall, the analyses showed that the BT seroprevalence of 43% (95% CI: 38–49%) in goats, 39% (95% CI: 33–46%) in sheep, 38% (95% CI: 25–45%) in cattle, 34% (95% CI: 20–51%) in buffaloes, 16% (95% CI: 10–22%) in camels, and 66% (95% CI: 17–95%) in Mithun. Furthermore, the meta-regression analysis suggested that serological tests, geographical region, and sample size were the prime moderators. Meta-analytic study indicates the BT seropositivity in 25.35 million sheep (95% CI: 21.5–29.9), 58 million goats (95% CI: 51.3–66.2), 66.8 million cattle (95% CI: 47.7–86), 37.0 million buffaloes (95% CI: 21.7–55.4), 0.06 million camels (95% CI: 0.04–0.09), and 0.19 million Mithun (95% CI: 0.05–0.28). The findings highlight the variation of BT seropositivity in different geographical regions of India.
Published: 2020
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2. REMOTE SENSING FOR ESTIMATION OF INTENSITY AND EXTENT OF PLANT RESIDUE COVER

Author: R. Prajapati, D. Chakrborty, S. Saha, V. K. Gupta, and R. N. Sahoo
Subjects: Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract: Left-over crop residue on the surface is a measure of tillage intensity and soil management, and is an integral part of the conservation agriculture practice. Remote sensing can be successfully used to monitor the large area crop residue cover which is otherwise difficult through the conventional way, provided the spectrally similar crop residues and soil can be suitably differentiated. Hyperspectral reflectance (350–2500 nm) of various quantities of crop residue cover over red soil was measured with varying moisture contents in the residue. A broad spectrum near 2100 mm was identified for dry residue, which was not recorded in soil spectra. This could possibly be linked to the cellulose-lignin content. The cellulose absorption index (CAI) was evaluated for crop residue cover with moderate to good correlations, with strong dependency on the residue water content. A few narrow bands were identified to characterize both the cellulose-lignin (i.e. the CAI) and the water content, and could be incorporated in on-board multispectral sensors for regional estimation of crop residue over the soil surface.
Published: 2019
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3. Molecular characterization of new isolates of the entomopathogenic fungus Beauveria bassiana and their efficacy against the tobacco caterpillar, Spodoptera litura (Fabricius) (Lepidoptera: Noctuidae)

Author: Sushant Dhar, Vikas Jindal, Monu Jariyal, and V. K. Gupta
Subjects: Beauveria bassiana, Isolates, Molecular identification, Spodoptera litura, Efficacy, Agriculture
Abstract: Abstract Thirteen fungal isolates, having characteristics similar to Beauveria bassiana, were isolated from field soils of Punjab, India, on Beauveria-specific selective medium (BS medium). Molecular screening of the B. bassiana isolates, using PCR amplification with B. bassiana-specific primer and nucleotide sequence analysis of ITS region, confirmed only three isolates as B. bassiana (now named as BbR1, BbR2, and BbR3) along with MTCC 2028 reference isolate. Comparative RAPD-PCR amplification with ten different RAPD primers showed that all the three isolates were closely related. Genetic relatedness dendrogram developed, using RAPD-PCR data by UPGMA, measured the quantitative description of genetic diversity and showed that the standard isolate MTCC2028 was 58% similar to new isolates. B. bassiana isolates achieved their maximum growth during the optimum incubation period of 7 days. Significant mortality rates of the tobacco caterpillar, Spodoptera litura (Fabricius) (Lepidoptera: Noctuidae), were recorded at all the tested concentrations of conidial suspensions (103 to 107 conidia ml−1) of B. bassiana. BbR2 was found to be the most potential local isolate, causing the maximum mortality (83.33%) of S. litura, with LC50 value of 935.663 conidia ml−1, followed by BbR3 (74.33%), BbR1 (72.22%), and BbM1 (67.12%) isolates.
Published: 2019
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4. Molecular etiopathology of naturally occurring reproductive diseases in female goats

Author: V. Beena, R. V. S. Pawaiya, K. Gururaj, D. D. Singh, A. K. Mishra, N. K. Gangwar, V. K. Gupta, R. Singh, A. K. Sharma, M. Karikalan, and Ashok Kumar
Subjects: Brucella melitensis, Campylobacter spp., Chlamydophila spp., Corynebacterium ovis, etiopathology, female genitalia, goat, ovary, reproductive diseases, uterus, Animal culture, SF1-1100, Veterinary medicine, SF600-1100
Abstract: Aim: The aim of the present study was to investigate the molecular etiopathology of occurrence of reproductive diseases in female goats. Reproductive diseases in goats account for major economic losses to goat farmers in terms of valuable loss of offspring and animal productivity. Materials and Methods: A total of 660 female genitalia were examined for pathological conditions (macroscopic and microscopic lesions). The etiopathological study was carried out for the presence of pathogenic organisms such as Brucella, Chlamydia, and Campylobacter in the uterus and ovary. Based on the microscopic lesions, suspected samples were subjected to diagnostic polymerase chain reaction (PCR) for various etiological agents employing 16srRNA genus specific primers for Campylobacter and Chlamydophila and OMP31 gene-based PCR for Brucella melitensis and nested PCR using ITS-1 gene primers for Toxoplasma gondii. For Brucella suspected samples, immunohistochemistry (IHC) was also performed. Results: In studied female genitalia, 108 (16.30%) showed gross abnormalities with overall 23.32% occurrence of pathological conditions (macroscopic and microscopic lesions). Pathological involvement of the uterus was the highest 68 (62.96%), followed by the ovaries 27 (25%) and other organs. Major uterine condition observed was endometritis (5.60%). In uterine infections, 35 (5.30%) samples were found positive for Campylobacter spp., 12 (1.81%) samples for B. melitensis, and 3 (0.45%) samples were positive for Chlamydophila spp. Among the samples positive for B. melitensis by PCR, 3 were found positive by IHC also. Corynebacterium ovis was detected by PCR using specific primers in a case of hydrosalpinx. It was concluded that many pathological lesions in female genitalia of functional significance play a major role in infertility in goats. Conclusion: The present study concluded that many pathological lesions in female genitalia of functional significance play a major role in infertility in goats.
Published: 2017
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5. Column operation studies for the removal of dyes and phenols using a low cost adsorbent

Author: V. K. Gupta, I. Tyagi, S. Agarwal, R. Singh, M. Chaudhary, A. Harit, and S. Kushwaha
Subjects: Adsorption, Break through curve, Column, Dyes, Low cost adsorbent, Phenols, Environmental sciences, GE1-350
Abstract: Fertilizer plant waste carbon slurry has been investigated after some processing as an adsorbent for the removal of dyes and phenols using columns. The results show that the carbonaceous adsorbent prepared from carbon slurry being porous and having appreciable surface area (380 m2/g) can remove dyes both cationic (meldola blue, methylene blue, chrysoidine G, crystal violet) as well as anionic (ethyl orange, metanil yellow, acid blue 113), and phenols (phenol, 2-chlorophenol, 4-chlorophenol and 2,4-dichlorophenol) fruitfully from water. The column type continuous flow operations were used to obtain the breakthrough curves. The breakthrough capacity, exhaustion capacity and degree of column utilization were evaluated from the plots. The results shows that the degree of column utilization for dyes lies in the range 60 to 76% while for phenols was in the range 53-58%. The exhaustion capacities were quite high as compared to the breakthrough capacities and were found to be 217, 211, 104, 126, 233, 248, 267 mg/g for meldola blue, crystal violet, chrysoidine G, methylene blue, ethyl orange, metanil yellow, acid blue 113, respectively and 25.6, 72.2, 82.2 and 197.3 mg/g for phenol, 2-chlorophenol, 4-chlorophenol and 2,4-dichlorophenol, respectively
Published: 2016
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6. Decolorization of mixture of dyes: A critical review

Author: V. K. Gupta, S. Khamparia, I. Tyagi, D. Jaspal, and A. Malviya
Subjects: Decolorisation, Dye mixture, Ecosystem, Synthetic dye, Textile waste water, Environmental sciences, GE1-350
Abstract: Water plays a vital and essential role in our ecosystem. This natural resource is becoming scarce, making its availability a major social and economic concern. Use of a large variety of synthetic dyes in textile industries has raised an hazardous environmental alert. About 17 - 20% of freshwater pollution is caused by textile effluents. These effluents are recalcitrant to biodegradation and cause acute toxicity to the receiving water bodies, as these comprised of various types of toxic dyes, which are difficult to remove. Decolorisation of textile wastewater is therefore important before releasing it into the nearby local waterways. It therefore becomes essential to degrade the toxic chemicals of textile wastewater, so as to avoid the hazardous environmental effects. Several treatment methods have been employed to embark upon the problem of dye removal but degradation becomes further more difficult for effluents containing dye matrix. The review study has been an attempt to present the different diversified attempts used for decolorisation of a mixture of dyes.
Published: 2015

7. Horton laws for hydraulic–geometric variables and their scaling exponents in self-similar Tokunaga river networks

Author: V. K. Gupta and O. J. Mesa
Subjects: Science, Physics, QC1-999, Geophysics. Cosmic physics, QC801-809
Abstract: An analytical theory is developed that obtains Horton laws for six hydraulic–geometric (H–G) variables (stream discharge Q, width W, depth D, velocity U, slope S, and friction n') in self-similar Tokunaga networks in the limit of a large network order. The theory uses several disjoint theoretical concepts like Horton laws of stream numbers and areas as asymptotic relations in Tokunaga networks, dimensional analysis, the Buckingham Pi theorem, asymptotic self-similarity of the first kind, or SS-1, and asymptotic self-similarity of the second kind, or SS-2. A self-contained review of these concepts, with examples, is given as "methods". The H–G data sets in channel networks from three published studies and one unpublished study are summarized to test theoretical predictions. The theory builds on six independent dimensionless river-basin numbers. A mass conservation equation in terms of Horton bifurcation and discharge ratios in Tokunaga networks is derived. Assuming that the H–G variables are homogeneous and self-similar functions of stream discharge, it is shown that the functions are of a power law form. SS-1 is applied to predict the Horton laws for width, depth and velocity as asymptotic relationships. Exponents of width and the Reynolds number are predicted and tested against three field data sets. One basin shows deviations from theoretical predictions. Tentatively assuming that SS-1 is valid for slope, depth and velocity, corresponding Horton laws and the H–G exponents are derived. Our predictions of the exponents are the same as those previously predicted for the optimal channel network (OCN) model. In direct contrast to our work, the OCN model does not consider Horton laws for the H–G variables, and uses optimality assumptions. The predicted exponents deviate substantially from the values obtained from three field studies, which suggests that H–G in networks does not obey SS-1. It fails because slope, a dimensionless river-basin number, goes to 0 as network order increases, but, it cannot be eliminated from the asymptotic limit. Therefore, a generalization of SS-1, based on SS-2, is considered. It introduces two anomalous scaling exponents as free parameters, which enables us to show the existence of Horton laws for channel depth, velocity, slope and Manning friction. These two exponents are not predicted here. Instead, we used the observed exponents of depth and slope to predict the Manning friction exponent and to test it against field exponents from three studies. The same basin mentioned above shows some deviation from the theoretical prediction. A physical reason for this deviation is given, which identifies an important topic for research. Finally, we briefly sketch how the two anomalous scaling exponents could be estimated from the transport of suspended sediment load and the bed load. Statistical variability in the Horton laws for the H–G variables is also discussed. Both are important open problems for future research.
Published: 2014
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8. A top-down model to generate ensembles of runoff from a large number of hillslopes

Author: P. R. Furey, V. K. Gupta, and B. M. Troutman
Subjects: Science, Physics, QC1-999, Geophysics. Cosmic physics, QC801-809
Abstract: We hypothesize that total hillslope water loss for a rainfall–runoff event is inversely related to a function of a lognormal random variable, based on basin- and point-scale observations taken from the 21 km2 Goodwin Creek Experimental Watershed (GCEW) in Mississippi, USA. A top-down approach is used to develop a new runoff generation model both to test our physical-statistical hypothesis and to provide a method of generating ensembles of runoff from a large number of hillslopes in a basin. The model is based on the assumption that the probability distributions of a runoff/loss ratio have a space–time rescaling property. We test this assumption using streamflow and rainfall data from GCEW. For over 100 rainfall–runoff events, we find that the spatial probability distributions of a runoff/loss ratio can be rescaled to a new distribution that is common to all events. We interpret random within-event differences in runoff/loss ratios in the model to arise from soil moisture spatial variability. Observations of water loss during events in GCEW support this interpretation. Our model preserves water balance in a mean statistical sense and supports our hypothesis. As an example, we use the model to generate ensembles of runoff at a large number of hillslopes for a rainfall–runoff event in GCEW.
Published: 2013
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9. Generalized Identities Involving Common Factors of Generalized Fibonacci, Jacobsthal and Jacobsthal-Lucas Numbers

Author: Yashwant K. Panwar, Bijendra Singh, and V. K. Gupta
Subjects: Probabilities. Mathematical statistics, QA273-280, Analysis, QA299.6-433
Abstract: In this paper, we present generalized identities involving common factors of generalized Fibonacci, Jacobsthal and jacobsthal-Lucas numbers. Binet’s formula will employ to obtain the identities.
Published: 2013

10. Acoustic Echo and Noise Cancellation System for Hand-Free Telecommunication using Variable Step Size Algorithms

Author: V. K. Gupta, M. Chandra, and S. N. Sharan
Subjects: Adaptive filters, double-talk detection, ANC-BSS, ERLE, misalignment, SNR, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract: In this paper, acoustic echo cancellation with doubletalk detection system is implemented for a hand-free telecommunication system using Matlab. Here adaptive noise canceller with blind source separation (ANC-BSS) system is proposed to remove both background noise and far-end speaker echo signal in presence of double-talk. During the absence of double-talk, far-end speaker echo signal is cancelled by adaptive echo canceller. Both adaptive noise canceller and adaptive echo canceller are implemented using LMS, NLMS, VSLMS and VSNLMS algorithms. The normalized cross-correlation method is used for double-talk detection. VSNLMS has shown its superiority over all other algorithms both for double-talk and in absence of double-talk. During the absence of double-talk it shows its superiority in terms of increment in ERLE and decrement in misalignment. In presence of double-talk, it shows improvement in SNR of near-end speaker signal.
Published: 2013

11. Scaling of peak flows with constant flow velocity in random self-similar networks

Author: R. Mantilla, V. K. Gupta, and B. M. Troutman
Subjects: Science, Physics, QC1-999, Geophysics. Cosmic physics, QC801-809
Abstract: A methodology is presented to understand the role of the statistical self-similar topology of real river networks on scaling, or power law, in peak flows for rainfall-runoff events. We created Monte Carlo generated sets of ensembles of 1000 random self-similar networks (RSNs) with geometrically distributed interior and exterior generators having parameters pi and pe, respectively. The parameter values were chosen to replicate the observed topology of real river networks. We calculated flow hydrographs in each of these networks by numerically solving the link-based mass and momentum conservation equation under the assumption of constant flow velocity. From these simulated RSNs and hydrographs, the scaling exponents β and φ characterizing power laws with respect to drainage area, and corresponding to the width functions and flow hydrographs respectively, were estimated. We found that, in general, φ > β, which supports a similar finding first reported for simulations in the river network of the Walnut Gulch basin, Arizona. Theoretical estimation of β and φ in RSNs is a complex open problem. Therefore, using results for a simpler problem associated with the expected width function and expected hydrograph for an ensemble of RSNs, we give heuristic arguments for theoretical derivations of the scaling exponents β(E) and φ(E) that depend on the Horton ratios for stream lengths and areas. These ratios in turn have a known dependence on the parameters of the geometric distributions of RSN generators. Good agreement was found between the analytically conjectured values of β(E) and φ(E) and the values estimated by the simulated ensembles of RSNs and hydrographs. The independence of the scaling exponents φ(E) and φ with respect to the value of flow velocity and runoff intensity implies an interesting connection between unit hydrograph theory and flow dynamics. Our results provide a reference framework to study scaling exponents under more complex scenarios of flow dynamics and runoff generation processes using ensembles of RSNs.
Published: 2011
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12. Role of the hydrological cycle in regulating the planetary climate system of a simple nonlinear dynamical model

Author: K. M. Nordstrom, V. K. Gupta, and T. N. Chase
Subjects: Science, Physics, QC1-999, Geophysics. Cosmic physics, QC801-809
Abstract: We present the construction of a dynamic area fraction model (DAFM), representing a new class of models for an earth-like planet. The model presented here has no spatial dimensions, but contains coupled parameterizations for all the major components of the hydrological cycle involving liquid, solid and vapor phases. We investigate the nature of feedback processes with this model in regulating Earth's climate as a highly nonlinear coupled system. The model includes solar radiation, evapotranspiration from dynamically competing trees and grasses, an ocean, an ice cap, precipitation, dynamic clouds, and a static carbon greenhouse effect. This model therefore shares some of the characteristics of an Earth System Model of Intermediate complexity. We perform two experiments with this model to determine the potential effects of positive and negative feedbacks due to a dynamic hydrological cycle, and due to the relative distribution of trees and grasses, in regulating global mean temperature. In the first experiment, we vary the intensity of insolation on the model's surface both with and without an active (fully coupled) water cycle. In the second, we test the strength of feedbacks with biota in a fully coupled model by varying the optimal growing temperature for our two plant species (trees and grasses). We find that the negative feedbacks associated with the water cycle are far more powerful than those associated with the biota, but that the biota still play a significant role in shaping the model climate. third experiment, we vary the heat and moisture transport coefficient in an attempt to represent changing atmospheric circulations.
Published: 2005

13. A Porphyrin Based Potentiometric Sensor for Zn2+ Determination

Author: H. Lang, M. M. Antonijevic, Shiva Agarwal, V. K. Saini, D. K. Chauhan, and V. K. Gupta
Subjects: Poly vinyl chloride (PVC), Nernstian slope, Zinc selective electrode, Porphyrin, Chemical technology, TP1-1185
Abstract: PVC based membranes of disodium salt of porphyrin 3,7,12,17-tetramethyl-8, 13-divinyl 2,18-porphine dipropionic acid (I) as ionophore with sodium tetra phenyl borate (NaTPB) as anion excluder and dibutyl phthalate (DBP), dioctyl phthalate (DOP), dibutyl butyl phosphonate (DBBP), tris(2- ethyl hexyl)phosphate (TEP), tri-n-butylphosphate (TBP) and 1- chloronaphthalene (CN) as plasticizing solvent mediators were prepared and constructed for determination of Zn(II). The PVC based membrane of (I) with DBBP as plasticizer and having anion excluder, NaTPB in the ratio PVC: I: NaTPB: DBBP (150: 10: 2: 200) gave the best results in terms of working concentration range (1.3ÃƒÂ—10-5-1.0 ÃƒÂ—10-1M) with a Nernstian slope (30.0 mV/decade of activity). The useful pH range of the sensor is 3.0 Ã¢Â€Â“7.4, beyond which a drift in potential was observed. The response time of the sensor is 10s and the lifetime was about 2 months during which it could be used without any measurable divergence. It had good stability and reproducibility. The membrane worked satisfactorily in non-aqueous medium up to 40% (v/v) non-aqueous content. The selectivity coefficient values indicate that the electrode is highly selective for Zn2+ over a number of other cations except Na+ and Cd2+. Although Na+ and Cd2+ are likely to cause some interference, they would not interfere if present at the concentrations < 1 ÃƒÂ—10-5 and < 5 ÃƒÂ—10-5 M, respectively. The electrode has been used as an indicator electrode to determine the end point in the potentiometric titration of Zn2+ with EDTA.
Published: 2003
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14. Scaling statistics in a critical, nonlinear physical model of tropical oceanic rainfall

Author: K. M. Nordstrom and V. K. Gupta
Subjects: Science, Physics, QC1-999, Geophysics. Cosmic physics, QC801-809
Abstract: Over the last two decades, concepts of scale invariance have come to the fore in both modeling and data analysis in hydrological precipitation research. With the advent of the use of the multiplicative random cascade model, these concepts have become increasingly more important. However, unifying this statistical view of the phenomenon with the physics of rainfall has proven to be a rather nontrivial task. In this paper, we present a simple model, developed entirely from qualitative physical arguments, without invoking any statistical assumptions, to represent tropical atmospheric convection over the ocean. The model is analyzed numerically. It shows that the data from the model rainfall look very spiky, as if generated from a random field model. They look qualitatively similar to real rainfall data sets from Global Atmospheric Research Program (GARP) Atlantic Tropical Experiment (GATE). A critical point is found in a model parameter corresponding to the Convective Inhibition (CIN), at which rainfall changes abruptly from non-zero to a uniform zero value over the entire domain. Near the critical value of this parameter, the model rainfall field exhibits multifractal scaling determined from a fractional wetted area analysis and a moment scaling analysis. It therefore must exhibit long-range spatial correlations at this point, a situation qualitatively similar to that shown by multiplicative random cascade models and GATE rainfall data sets analyzed previously (Over and Gupta, 1994; Over, 1995). However, the scaling exponents associated with the model data are different from those estimated with real data. This comparison identifies a new theoretical framework for testing diverse physical hypotheses governing rainfall based in empirically observed scaling statistics.
Published: 2003

15. Lipid Profile and Correlation to Cardiac Risk Factors and Cardiovascular Function in Type 1 Adolescent Diabetics from a Developing Country

Author: Aashima Dabas, Sangeeta Yadav, and V. K. Gupta
Subjects: Pediatrics, RJ1-570
Abstract: Objective. The adverse role of dyslipidemia in predicting cardiovascular outcomes has not been elucidated extensively among type 1 diabetics in the literature. Methods. We assessed dyslipidemia and its correlation to other cardiac risk factors in adolescents with type 1 diabetes. Total thirty type 1 adolescent diabetics were evaluated for their metabolic profile, including serum lipids and echocardiography was performed. Results. The average age of the cohort was 14.3 ± 3.09 yr with disease duration of 5.35 ± 2.94 yr. The mean HbA1C was 8.01%. The mean serum cholesterol, LDL, HDL, and triglyceride were normal. Serum cholesterol was high in patients with longer disease duration (P=0.011, r=0.41), high systolic blood pressure (P=0.04, r=0.32), and elevated HbA1C > 8% (P=0.038, r=0.33). Higher lipid values were associated with poorer carotid artery distensibility (P>0.05) and higher carotid artery intimomedial thickness (cIMT) (P
Published: 2014
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16. The Influence of Insulin Dependent Diabetes Mellitus on Dental Caries and Salivary Flow

Author: V. K. Gupta, Seema Malhotra, Vasuda Sharma, and S. S. Hiremath
Subjects: Internal medicine, RC31-1245
Abstract: Objective. To assess whether or not there was any change in the dental caries and rate of salivary flow of patients with Insulin Dependent Diabetes Mellitus (IDDM) and the contribution of salivary flow to caries risk in IDDM. Setting. Department of Endocrinology, MS Ramaiah Hospital, Bangalore, India. Design. A comparative cross-sectional descriptive type. Materials and Methods. The sample consisted of two groups: 140 diabetic group (mean age 14.8 yr) and 140 nondiabetic group (mean age 13.7 yr). Dental caries by dmf(t) and dmf(s) indices for primary dentition and DMF(T) and DMF(S) indices was used in permanent dentition to assess the dental caries experience. Both stimulated and unstimulated salivary flow rate were assessed after collection of saliva. Results. In diabetic group 76% had carious lesion and in nondiabetic group 85.3% had carious lesion. Diabetics have lower mean DMFT, DMFS, dmft, and dmfs compared to the nondiabetic group. Diminished unstimulated and stimulated salivary flow rate in diabetic than nondiabetic group. Conclusions. The findings obtained conclude that even though there was reduced salivary flow rate in diabetic group the caries prevalence was low.
Published: 2014
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17. El concepto de justicia en Kautilya

Author: V. K. Gupta
Subjects: Law in general. Comparative and uniform law. Jurisprudence, K1-7720
Published: 2004

18. Reflectance based non-destructive determination of colour and ripeness of tomato fruits

Author: Rajeev Kumar, Vijay Paul, Rakesh Pandey, R. N. Sahoo, and V. K. Gupta
Subjects: Physiology, Plant Science, Molecular Biology, Research Article
Abstract: The preference and quality of tomato fruit are primarily determined by its apparent colour and appearance. Non-destructive and rapid methods for assessment of tomato colour and ripeness are therefore of immense significance. This study was conducted to identify reflectance-based indices and to develop models for the non-destructive determination of colour and ripeness (maturity) of tomato fruits. Tomato fruits of two varieties and two hybrids, representing different ripening stages were investigated. Fruits were either harvested directly from the plants or they were picked up from the lots stored at 25 °C. Reflectance from individual fruit was recorded in a spectrum ranging from 350 to 2500 nm. These fruits at different ripening stages were ranked on a relative ripening score (0.0–8.5). Obtained data (reflectance and ripening score) were subjected to chemometric analysis. In total, six models were developed. The first-best model was based on the index R(521) (reflectance at wavelength 521 nm) i.e., y (colour/ripeness) = − 2.456 ln (x) − 1.093 where x is R(521). This model had a root mean standard error of prediction (RMSEP) ≥ 0.86 and biasness = − 0.09. The second-best model y = 2.582 ln (x) − 0.805 was based on the index R(546) (x) and had RMSEP ≥ 0.89 and biasness = 0.10. Models could bifurcate tomatoes into basic ripening stages and also red and beyond red tomato fruits from other stages across the varieties/hybrids and ripening conditions [for plant harvested (fresh) and stored (aged) fruits]. Findings will prove useful in developing simple and thereby cost-effective tools for rapid screening/sorting of tomato fruits based on their colour or ripeness not only for basic research (phenotyping) but also for the purpose of processing, value-addition, and pharmaceutical usages. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-022-01126-2.
Published: 2022

19. Bluetongue in India: a systematic review and meta-analysis with emphasis on diagnosis and seroprevalence

Author: O.R. Vinodhkumar, V. K. Gupta, Yashpal Singh Malik, Z. B. Dubal, Ramkumar N. Rupner, K.P. Singh, D.K. Sinha, Kuldeep Dhama, R Karthikeyan, BR Singh, and Shikha Tamta
Subjects: Veterinary medicine, sheep, Livestock, camel, 040301 veterinary sciences, diagnosis, Level data, Sheep Diseases, Biology, Serology, 0403 veterinary science, Risk Factors, Seroepidemiologic Studies, SF600-1100, Seroprevalence, Animals, bluetongue, General Veterinary, seroprevalence, goat, 0402 animal and dairy science, mithun, india, 04 agricultural and veterinary sciences, Ruminants, 040201 dairy & animal science, meta-analysis, cattle, Meta-analysis, Original Article, Research Article
Abstract: Bluetongue (BT) is an infectious viral disease which affects a wide range of ruminants and was first reported in India in 1964. In view of the absence of comprehensive information on the BT status in India, this study presents the seroprevalence on BT in farm animals of India based-on a systematic review and meta-analysis. A systematic review was conducted to identify the published articles (2001–2018) reporting the seroprevalence of BT in sheep, goats, cattle, buffalo, camels, and Mithun (Bos frontalis) from India. From 409 research articles, 71 fulfilled the inclusion criteria and meta-analysis for proportions was carried out targeting the eligible studies. From these, 144 strata level data were extracted with a sample size of 14048 sheep, 14696 goats, 5218 cattle, 2653 buffaloes, 2062 camels, and 222 Mithun. Overall, the analyses showed that the BT seroprevalence of 43% (95% CI: 38–49%) in goats, 39% (95% CI: 33–46%) in sheep, 38% (95% CI: 25–45%) in cattle, 34% (95% CI: 20–51%) in buffaloes, 16% (95% CI: 10–22%) in camels, and 66% (95% CI: 17–95%) in Mithun. Furthermore, the meta-regression analysis suggested that serological tests, geographical region, and sample size were the prime moderators. Meta-analytic study indicates the BT seropositivity in 25.35 million sheep (95% CI: 21.5–29.9), 58 million goats (95% CI: 51.3–66.2), 66.8 million cattle (95% CI: 47.7–86), 37.0 million buffaloes (95% CI: 21.7–55.4), 0.06 million camels (95% CI: 0.04–0.09), and 0.19 million Mithun (95% CI: 0.05–0.28). The findings highlight the variation of BT seropositivity in different geographical regions of India.
Published: 2020

20. Susac Syndrome: A Rare cause of Bilateral Sensorineural hearing loss from North India—A Case Report with Review of literature

Author: V. K. Gupta, Monika Sharma, Shenny Bhatia, Sonika Kotwal, Manpreet Singh Nanda, Vishwa Jyoti Bahl, Deepika Sharma, and Pooja Thakur
Subjects: medicine.medical_specialty, Pediatrics, business.industry, Disease, Diagnostic tools, North india, medicine.disease, Otorhinolaryngology, Branch retinal artery occlusion, medicine, Etiology, Surgery, Original Article, Bilateral sensorineural hearing loss, business, Susac Syndrome
Abstract: Susac Syndrome (SS) is a rare unique autoimmune underdiagnosed disorder characterized by the clinical triad of central nervous system (CNS) dysfunction, sensorineural hearing impairment, and branch retinal artery occlusion (BRAO). Objectives The purpose of reporting the case is to succinctly highlight this enigmatic condition with focus on otological and audiological aspect of SS and also to augment awareness of this disease among otolaryngologists neurologists, psychiatrists and ophthalmologists. Additionally we reviewed the otological menifestations and audiological findings related to SS. Methods A case of 38 year old female is presented with bilateral SNHL as the initial symptom of SS. The review of otological and audiological findings of previous 10 year case reports was executed using the PRISMA protocol on 20 cases. Results It was seen that inspite of the ear being one of the main organs involved in the SS very few had undergone detailed audiological assessment. Our review of literature showed that only 40% cases had done audiological assessment other than PTA, out of which only 5% had undergone complete audiological workup. 30% of the patients were having auditory symptoms as presenting chief complaint. Conclusion Otolyryngologists should keep SS in differentials when a case of SNHL of unknown etiology is encountered.We emphasize the use newer noninvasive Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation diagnostic tools like Optical coherence tomography (OCT), MRI and detailed audiological tests for timely diagnosis of SS. Further multidisciplinary assessment protocols should be used to prevent the development of severe sequelae.
Published: 2021

21. Molecular characterization of new isolates of the entomopathogenic fungus Beauveria bassiana and their efficacy against the tobacco caterpillar, Spodoptera litura (Fabricius) (Lepidoptera: Noctuidae)

Author: V. K. Gupta, Monu Jariyal, Sushant Dhar, and Vikas Jindal
Subjects: 0106 biological sciences, Veterinary medicine, Efficacy, Beauveria bassiana, Spodoptera litura, Plant Science, Bassiana, Isolates, 01 natural sciences, Conidium, Lepidoptera genitalia, lcsh:Agriculture, Ecology, biology, fungi, lcsh:S, biology.organism_classification, RAPD, 010602 entomology, Insect Science, Entomopathogenic fungus, Noctuidae, Molecular identification, Agronomy and Crop Science, 010606 plant biology & botany
Abstract: Thirteen fungal isolates, having characteristics similar to Beauveria bassiana, were isolated from field soils of Punjab, India, on Beauveria-specific selective medium (BS medium). Molecular screening of the B. bassiana isolates, using PCR amplification with B. bassiana-specific primer and nucleotide sequence analysis of ITS region, confirmed only three isolates as B. bassiana (now named as BbR1, BbR2, and BbR3) along with MTCC 2028 reference isolate. Comparative RAPD-PCR amplification with ten different RAPD primers showed that all the three isolates were closely related. Genetic relatedness dendrogram developed, using RAPD-PCR data by UPGMA, measured the quantitative description of genetic diversity and showed that the standard isolate MTCC2028 was 58% similar to new isolates. B. bassiana isolates achieved their maximum growth during the optimum incubation period of 7 days. Significant mortality rates of the tobacco caterpillar, Spodoptera litura (Fabricius) (Lepidoptera: Noctuidae), were recorded at all the tested concentrations of conidial suspensions (103 to 107 conidia ml−1) of B. bassiana. BbR2 was found to be the most potential local isolate, causing the maximum mortality (83.33%) of S. litura, with LC50 value of 935.663 conidia ml−1, followed by BbR3 (74.33%), BbR1 (72.22%), and BbM1 (67.12%) isolates.
Published: 2019

22. Protective or adaptive role of spreading depression / cortical spreading depression: the first major conceptual advance in migraine pathophysiology since seven decades

Author: V K Gupta
Published: 2020
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23. Immunomodulatory effects of homoeopathic medicines: A review of pre-clinical studies

Author: Mohit Mathur and V. K. Gupta
Subjects: Homoeopathic medicines, Traditional medicine, business.industry, Macrophage, lcsh:RX1-681, 030205 complementary & alternative medicine, Immunomodulation, 03 medical and health sciences, 0302 clinical medicine, Immune system, Complementary and alternative medicine, lcsh:Homeopathy, Pre-clinical studies, Medicine, Cytokines, 030212 general & internal medicine, Mercurius Solubilis, business
Abstract: Immunomodulation is a kind of regulatory modification in the immune system so as to bring the desired response. In this review the immunomodulatory effects of homoeopathic medicines – Rhus toxicodendron, Mercurius solubilis, Echinacea, Aconitum, Lachesis and Apis – and homoeopathic combination remedy Canova® are discussed. The review was conducted using PubMed and references from the relevant articles. The keywords comprising the names of above homoeopathic medicines along with terms 'immune function', 'cytokines', etc., were used for search. The review shows that homoeopathic medicines produced modulation of immune function at multiple levels such as modulation of expression of genes, stimulation of macrophage and polymorph nuclear cells, changes in expression of surface receptors and induction of cytokines. Extensive studies are required to explore the immunomodulatory effects of vast number of homoeopathic medicines. Studies based on human-derived immune cells specifically need more attention.
Published: 2018

24. Assessing Wheat Yellow Rust Disease through Hyperspectral Remote Sensing

Author: C. Chattopadhyay, Prem Prakash Sinha, Ravender Singh, Sourabh Pargal, Mahender Singh Saharan, Gopal Krishna, V. K. Gupta, Someshwar Bhagat, and Rabi Narayan Sahoo
Subjects: Geography, Spectroradiometer, Coefficient of determination, Standard error, Mean squared error, Partial least squares regression, Linear regression, Hyperspectral imaging, Cross-validation, Remote sensing
Abstract: The potential of hyperspectral reflectance data was explored to assess severity of yellow rust disease (Biotroph Pucciniastriiformis) of winter wheat in the present study. The hyperspectral remote sensing data was collected for winter wheat (Triticum aestivum L.) cropat different levels of disease infestation using field spectroradiometer over the spectral range of 350 to 2500 nm. The partial least squares (PLS) and multiple linear (MLR) regression techniques were used to identify suitable bands and develop spectral models for assessing severity of yellow rust disease in winter wheat crop. The PLS model based on the full spectral range and n = 36, yielded a coefficient of determination (R2) of 0.96, a standard error of cross validation (SECV) of 12.74 and a root mean square error of cross validation (RMSECV) of 12.41. The validation analysis of this PLS model yielded r2 as 0.93 with a SEP (Standard Error of Prediction) of 7.80 and a RMSEP (Root Mean Square Error of prediction) of 7.46. The loading weights of latent variables from PLS model were used to identify sensitive wavelengths. To assess their suitability multiple linear regression (MLR) model was applied on these wavelengths which resulted in a MLR model with three identified wavelength bands (428 nm, 672 nm and 1399 nm). MLR model yielded acceptable results in the form of r2 as 0.89 for calibration and 0.90 for validation with SEP of 3.90 and RMSEP of 3.70. The result showed that the developed model had a great potential for precise delineation and detection of yellow rust disease in winter wheat crop.
Published: 2018

25. Natural Products: Research Reviews Vol 4

Author: V. K. Gupta and V. K. Gupta
Subjects: Botanical chemistry, Natural products, Materia medica, Vegetable, Medicine, Botanic
Abstract: The present volume 4 of the book series “Natural Products: Research Reviews” provides the readers with recent information/achievements and about future directions on the subject. The book comprises twenty two review articles, focuses on the potential applications of a diverse group of natural sources prominent among which are as follows: • Anticancer Properties of Anthocyanidins • Camellia sinensis (L.) Kuntze: Chemical and Nutraceutical Properties • Screening of Silver Nanoparticle Synthetic Efficacy of Some Medicinal Plants • Chemical Diversity, Pharmacological, Nutritional and Therapeutic Novelty of Marine Derived Products: An Infinite Natural Resource • Nutritional and Phytomedicinal Potential of Prunus avium L. • Phytochemical Composition and Different Biological Activities of Alpinia spp. • Treatment of Male and Female Sexual Dysfunctions by Some Natural Herbs • Role of Diet for Management of Anxiety Disorders • Therapeutic Potential of Yarrow (Achilla millefolium) Linn. • Phyto-pharmacological Aspects of Two Hypericum Species • Modified Polysaccharides: Its Needs, Approaches and Applications in Drug Delivery • In vitro Micropropagation and Phytochemical Screening of Oroxylum indicum • Assesement of Genotoxic and Genoprotective Profile of Some Commonly Used Herbal Medicines • Use of Mucilage from Yam (Dioscorea spp.) Tuber for Biotechnological Applications • Natural Aspects of Medicinal Plant Codiaeum variegatum • Diabetic Skin Wound Healing and the Use of Medicinal Plants • Pterocarpus marsupium Roxb. - An Important Medicinal Plant • Digera muricata (L.) Mart: A Versatile Medicinal Plant • Biological Properties of Smilax chinensis Linn. The book is not only an excellent source material for the scientists and teachers but also for research workers working on different aspects of Natural Products. It is hoped the present volume will attract wide acceptance of pharmacologists, phytochemists, medical personals in particular and a host of other scientists and biologists to facilitate further research on natural products.
Published: 2017

26. Bioactive Phytochemicals: Perspectives for Modern Medicine Vol. 3

Author: Author, V. K. Gupta, Author, and V. K. Gupta
Abstract: The present volume of the series, “Bioactive Phytochemicals: Perspectives for Modern Medicine - Vol. 3” with 21 original research and review articles written by eminent scientists and researchers from within India and abroad has been compiled, and the notable amongst which include: Lupeol as Anticancer Drug; Bioactive Phytochemicals as Phytomedicine and its Pharmacology and Toxicology of Genus Capparis; Artesunate with its Antimalarial Profile; Fractionation and Structural Characterization of Antimicrobials from Woodfordia fruticosa Kurz.; Exocyclic-Nitrogen Alkaloids in Herbalism as a Source of New Drugs; Naringin, a Citrus Flavonone Inhibits the Benzo[a]pyrene (BaP)-Induced Forestomach Carcinogenesis in Mice; Capsaicin Prevents Oxidative Stress During D-galactosamine Induced Experimental Hepatitis; A Review on Rhizophora Genus: Therapeutically Important Perspective Phytochemical Constituents; Rotenoids as Anticancer Agents; Plant Lignans: Potent Anticancer Agents; Potentials of Dietary Polyphenols to Modulate Wnt/b-Catenin Signaling Pathway; Exploitation of Algae as Priceless Source of Potential Commercial High-Value Compounds; Hypericum spp.: A Resource from Wild Mediterranean Flora for the Treatment of Mild Depression; Herbs and Herbal Products against some Psychiatric Disorders; The Current Status of Bioactive Metabolites From the Genus Juniperus; Bioactive Phytochemicals – An Overview; New Phyto-Enzymes of Therapeutic and Industrial Values; Efficiency of Garlic Derived Phytochemicals against Advanced Metabolic Disorders; Potential of Pulse Derived Phytochemicals against Advanced Physiological Threats; Potential Bioactive Phytoconstituents and Synthesis of Modern Antimalarials; and Traditional Medicinal Plants for Anticancer Activity. The book like previous volumes shall prove very valuable and an important research compendium that shall stimulate interest of scientific community particularly phytochemists, biochemists, pharmacologists, ethnopharmacologists, ethnobotanists and others engaged in the allied disciplines.
Published: 2016

27. Effect of Cort Programme on Critical Thinking

Author: Rajesh Kumar, V K Gupta, Rajesh Kumar, and V K Gupta
Subjects: Thought and thinking, Critical thinking--India--Karna¯l, Students--India--Karna¯l--Attitudes
Abstract: The purpose of thinking is to collect information and to make the best possible use of it. The fascination with thinking, how and why people think, how we can teach thinking, has been evident for centuries. According to Edward De Bono “Thinking is a skill; it can be developed and improved if one knows how”. The various programmes designed to teach thinking and the professional concerns expressed in journals and books highlight the issues in the application of theory. This book is the result of a research conducted to find the effect of CoRT programme on Critical thinking. CoRT programme is designed by Edward De Bono which consists of sixty different tools for development of thinking. Along with the other general information on thinking, the book provides both quantitative and qualitative analysis of the data. Hope, this book is useful in bridging the gap between theory and practice on “how to teach thinking skills”.
Published: 2016

28. Prevalence and correlates of tobacco smoking, awareness of hazards, and quitting behavior among persons aged 30 years or above in a resettlement colony of Delhi, India

Author: Mongjam Meghachandra Singh, Ankur Garg, V. K. Gupta, Suneela Garg, Renuka Saha, and Mradul Kumar Daga
Subjects: Pulmonary and Respiratory Medicine, lcsh:RC705-779, Multivariate analysis, business.industry, prevalence, Systematic sampling, resettlement, lcsh:Diseases of the respiratory system, Awareness, Quit smoking, smoking, Health problems, Hazard awareness, Sample size determination, Environmental health, Medicine, Original Article, business, Functional illiteracy, quit
Abstract: Aim: To assess the prevalence and correlates of current smoking, awareness of hazards, and quitting behavior among smokers 30 years and above. Materials and Methods: Study design: Cross-sectional; Setting: Gokulpuri, a resettlement colony in East Delhi, India; Sample size: 911, persons aged 30 years and above using systematic random sampling; Study tools: Semi-structured questionnaire. Results: Prevalence of current smoking was found to be 24.6% (95% CI 21.90 - 27.49). Majority 198 (88.4%) of current smokers smoked bidi exclusively, and on an average 13.5 bidi/cigarette were smoked per day. Multivariate analysis showed the factors associated with current smoking as male sex, advancing age, illiteracy, skilled occupation, low socio-economic status, and low BMI (P < 0.001). 64.2% were aware of the hazards of smoking. 63 (21.9%) had quit smoking in the past, majority due to the health problems. Low educational status was associated with poor hazard awareness and quitting behavior. Conclusion: Smoking is a significant problem among poor and illiterate males, shows an increasing trend with an advancing age and is directly associated with skilled occupation and low BMI. There are significant gaps in knowledge regarding hazards of smoking.
Published: 2012

29. A Computer Controlled Precision High Pressure Measuring System

Author: T. K. Saxena, Sanjay Yadav, N. Jha, V. K. Gupta, S. Sadana, Ravinder Agarwal, and Abhijit Bandyopadhyay
Subjects: Engineering, precision high pressure measuring system, business.industry, Frequency multiplier, Hydrostatic pressure, Biomedical Engineering, Octal, Pressure sensor, computer controlled pressure measurements, Phase-locked loop, Microcontroller, Data acquisition, digital pressure calibrator, Control and Systems Engineering, Calibration, QA1-939, pressure sensor, business, pressure transducer, Instrumentation, Computer hardware, Mathematics
Abstract: A microcontroller (AT89C51) based electronics has been designed and developed for high precision calibrator based on Digiquartz pressure transducer (DQPT) for the measurement of high hydrostatic pressure up to 275 MPa. The input signal from DQPT is converted into a square wave form and multiplied through frequency multiplier circuit over 10 times to input frequency. This input frequency is multiplied by a factor of ten using phased lock loop. Octal buffer is used to store the calculated frequency, which in turn is fed to microcontroller AT89C51 interfaced with a liquid crystal display for the display of frequency as well as corresponding pressure in user friendly units. The electronics developed is interfaced with a computer using RS232 for automatic data acquisition, computation and storage. The data is acquired by programming in Visual Basic 6.0. This system is interfaced with the PC to make it a computer controlled system. The system is capable of measuring the frequency up to 4 MHz with a resolution of 0.01 Hz and the pressure up to 275 MPa with a resolution of 0.001 MPa within measurement uncertainty of 0.025%. The details on the hardware of the pressure measuring system, associated electronics, software and calibration are discussed in this paper.
Published: 2011

30. Investigations on Measurement Uncertainty and Stability of Pressure Dial Gauges and Transducers

Author: V. K. Gupta, Abhijit Bandyopadhyay, and Sanjay Yadav
Subjects: Engineering, Acoustics, Biomedical Engineering, pressure metrology, law.invention, pressure dial gauge, law, measurement uncertainty, Calibration, QA1-939, pressure transducer, Instrumentation, business.industry, Electrical engineering, stability, calibration, Pressure sensor, Metrology, Dial, Pressure measurement, Control and Systems Engineering, Curve fitting, Measuring instrument, Measurement uncertainty, business, Mathematics
Abstract: Several commercial instruments are available for pressure measurements. As per ISO stipulations, whenever such instruments are used for precise and accurate pressure measurements, it is obligatory on the part of measurement authority to indicate the quality of results. Stability of the pressure measuring instruments over the years is one of the important parameters in defining the quality of results quantitatively. Also, it helps the users to decide the optimum calibration interval of the particular instrument. In the present investigation, we have studied a number of analogue / digital pressure transducers / transmitters / calibrators and pressure dial gauges. The present paper describes the results of the studies carried out on several pressure dial gauges and transducers in the pressure range up to 500 MPa, calibrated several times over the years, as examples. A new approach is proposed for the establishment of measurement uncertainty for such instruments by characterizing the data obtained during calibration over the years using curve fitting. Keywords: Pressure metrology, pressure dial gauge, pressure transducer, calibration, measurement uncertainty, stability
Published: 2010

31. Theoretical and Experimental Analysis of Hard Material Machining

Author: Rajaram Kr. Gupta, Bhupendra Kumar, T. V. K. Gupta, and D. S. Ramteke
Subjects: depth of cut, feed, cutting force, Speed, flank wear, roughness
Abstract: Machining of hard materials is a recent technology for direct production of work-pieces. The primary challenge in machining these materials is selection of cutting tool inserts which facilitates an extended tool life and high-precision machining of the component. These materials are widely for making precision parts for the aerospace industry. Nickel-based alloys are typically used in extreme environment applications where a combination of strength, corrosion resistance and oxidation resistance material characteristics are required. The present paper reports the theoretical and experimental investigations carried out to understand the influence of machining parameters on the response parameters. Considering the basic machining parameters (speed, feed and depth of cut) a study has been conducted to observe their influence on material removal rate, surface roughness, cutting forces and corresponding tool wear. Experiments are designed and conducted with the help of Central Composite Rotatable Design technique. The results reveals that for a given range of process parameters, material removal rate is favorable for higher depths of cut and low feed rate for cutting forces. Low feed rates and high values of rotational speeds are suitable for better finish and higher tool life., {"references":["B. John and B. Gerald, \"The mechanisms of chip formation in machining hardened steels\", 2002, Trans. of ASME, 124, pp. 528-534.","Y. K. Chou and C.J.Evans, \"Process effects on white layer formation in hard turning\", 1998, Trans.of NAMRI/SME, 24, pp. 117-122.","Meng Liu, Jun-ichiro, \"Effect of tool nose radius and tool wear on residual stress distribution in hard turning of bearing steel\", 2004, Journal of Material Processing Technology, 150, pp. 234-241.","H. David, \"Turning to hard turning: it's today's cost-cutting alternative to grinding\" 2006, Product Manager Advance Materials, Carboloy Inc. URL:http://www.manufacturingcenter.com/tooling/archives/1001/1001turning.asp","B. Kristyanto, \"Development of a predictive theory of machining for aluminum alloys using materials variable flow stress properties\", 2002, University of New South Wales, Mechanical and Manufacturing Eng., Ph.D. Thesis.","Turgrul. Özel and TaylanAltan, \"Determination of workpiece flow stress and friction at the chip-tool contact for high-speed cutting\", 2002, Int. Journal of Machine Tool Manufacture, 40, pp.133-152.","Y. K. Chou and C.J.Evans, \"Finish hard turning of powder metallurgy M50 steel\", 1997, Trans. of NAMRI/SME, 25, pp. 81~86.","T.I.EI-Wardany, M.A. Elbestawi, M.H. Attia and E.Mohamed, \"Surface finish in turning of hardened steel\", 1992, Eng. Surf. ASME PED-Vol. 62, 141-159.","T. H. Lee and P. Mathew, \"An experimental and theoretical comparison of machining non-heat treated and heat treated AISI 4140 steel\", 2005, 8th CIRP International Workshop on modeling of machining operations, Chemnitz, Germany, May 10-11, 2005, pp. 293-302.\n[10]\tS.Y. Luo, Y.S. Liao and Y.Y. Tsai, \"Wear characteristics in turning high hardness alloy steel by ceramic and CBN tools\", 1999, Journal of Material Processing and Technology88, pp. 114-121.\n[11]\tY.Huang and S. Y. Liang, \"Cutting forces modeling considering the effect of tool thermal property-application to CBN hard turning\" 2003, Int. Journal of Machine Tool Manufacture, 43, pp. 307-315.\n[12]\tM.Xiao, K.Sato, S.Karube and T.Soutome, \"The effect of tool nose radius in ultrasonic cutting of hard mental\", 2003, Int. Journal of Machine Tool Manufacture43, pp.1375~1382.\n[13]\tK.Oishi, \"Built-up edge elimination in mirror cutting of hardened steel\" 1995, J. of Eng. Ind. 117, pp. 62~66.\n[14]\tP.Munoz-Escalona and Z.Cassier, \"Influence of the critical cutting speed on surface finish of turned steel\" 1998, Wear, 218, pp. 103-109.\n[15]\tJ.Rech and A.Moisan, \"Surface integrity in finish turning of case-hardened steels\" 2003, Int. J. of Mach. Tools and Manuf. 43, pp. 543-550.\n[16]\tM. Alauddin, M.A. El Baradie, M.S.J. Hashmi, \"Optimization of surface finish in end milling Inconel 718\" 1996, Journal of Material Processing and Technology 56, pp. 54 – 65."]}
Published: 2015
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32. Study of Soil Clays from Different Sources of Alluvial Parent Materials Under Varying Rainfall Conditions

Author: K V S Satyanarayana, V K Gupta, V Subramanyan and G S R Krishna Murti
Subjects: lcsh:Q, lcsh:Science
Abstract: Study of Soil Clays from Different Sources of Alluvial Parent Materials Under Varying Rainfall Conditions
Published: 2015

33. Kinetics and Mechanism of the Complex Formation between Hexacyanoferrate (II) and Chromium (III)

Author: W U Mallik, SP Srivastava, K K Thallam, V K Gupta and Rashmi Gupta
Subjects: inorganic chemicals, education, technology, industry, and agriculture, otorhinolaryngologic diseases, lcsh:Q, lcsh:Science
Abstract: Kinetics and Mechanism of the Complex Formation between Hexacyanoferrate (II) and Chromium (III)
Published: 2015

34. Effect of Different Soil Factors and Amendments on the Production of Sporangia and Oospores in Phytophthora cactorum

Author: K S Rana and V K Gupta
Subjects: lcsh:Q, lcsh:Science
Abstract: Effect of Different Soil Factors and Amendments on the Production of Sporangia and Oospores in Phytophthora cactorum
Published: 2015

35. A PVC Based Electrochemical Sensor for Cobalt (II)Determination

Author: V K Gupta, S Chandra, S Agarwal and H Lang
Subjects: lcsh:Q, lcsh:Science
Abstract: A PVC Based Electrochemical Sensor for Cobalt (II)Determination
Published: 2015

36. Kinetics and Mechanism of Complex Formation Between Octacyanomolybdate And Titanium( IV)

Author: V K Gupta, A Kumar and Pritam Singh
Subjects: lcsh:Q, lcsh:Science
Abstract: Kinetics and Mechanism of Complex Formation Between Octacyanomolybdate And Titanium( IV)
Published: 2015

37. Ag(I) Catalysed Oxidation of methylethylether, Tetrahydrofuran and Anisole by Peroxydisulphate Ion

Author: S P Srivastava, V K Gupta and Anurag Kumar
Subjects: lcsh:Q, lcsh:Science
Abstract: Ag(I) Catalysed Oxidation of methylethylether, Tetrahydrofuran and Anisole by Peroxydisulphate Ion
Published: 2015

38. Kinetics and Mechanism of the Complex Formation between Hexacyanoferrate (II) and Mo(VI)

Author: W U Malik, S P Srivastava, K K Thallam and V K Gupta
Subjects: lcsh:Q, lcsh:Science
Abstract: Kinetics and Mechanism of the Complex Formation between Hexacyanoferrate (II) and Mo(VI)
Published: 2015

39. Dynamics of a scalar field, with a double exponential potential, interacting with dark matter

Author: Amitabha Mukherjee, Daksh Lohiya, Rakesh Kabir, and V. K. Gupta
Subjects: Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Dynamics (mechanics), Dark matter, Double exponential function, FOS: Physical sciences, Astronomy and Astrophysics, General Relativity and Quantum Cosmology (gr-qc), Astrophysics::Cosmology and Extragalactic Astrophysics, Cosmology, General Relativity and Quantum Cosmology, Dominance (ethology), Space and Planetary Science, Quantum electrodynamics, Attractor, Dark energy, Scalar field, Mathematical Physics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We study the interaction between dark matter and dark energy, with dark energy described by a scalar field having a double exponential effective potential. We discover conditions under which such a scalar field driven solution is a late time attractor. We observe a realistic cosmological evolution which consists of sequential stages of dominance of radiation, matter and dark energy, respectively., 10 pages, 2 figures; v2: few typo corrected; to be communicated to JCAP, comments welcome
Published: 2015

40. Medicinal Plants: Phytochemistry Pharmacology and Therapeutics Vol 1

Author: Anpurna Kaul,G D Singh,Surjeet Singh,V K Gupta and Anpurna Kaul,G D Singh,Surjeet Singh,V K Gupta
Subjects: Medicine, Botanic, Materia medica, Vegetable
Abstract: Ancient civilization greatly depended on local flora and fauna for their survival and experimented with various berries, roots, leaves, minerals or animal parts to find out what effects they had and as a result, many crude drugs were observed by the local healer to have some medical use. As understanding of therapeutic benefits deepens and demands for natural products increased, previously serendipitous discoveries evolved into active searches for new medicines. At present 25 per cent of the modern medicines are developed from plants that were first used traditionally, and many synthetic drugs have also been obtained from natural precursors. The present volume of the book series, “Medicinal Plants: Phytochemistry, Pharmacology and Therapeutics” contained as many as 29 review/ research articles contributed by the eminent scientists from across the world, some of which are as under: v Resveratrol: A Natural Polyphenol v Phytochemistry, Pharmacology and Therapeutic Uses of Wrightia tinctoria v Genotoxicity, its Methods of Evaluation and the Significance v Vasodilatory Activity Induced by Natural Products v Scope of Chicory with Special Reference to its Medicinal Value v Role of Curcuminoids, in Disease Prevention and Health Maintenance v Multi-Targeted Approaches for Polygenic Disorders Using Medicinal Plants v Safety Assessment of Orthosiphon stamineus Benth v Plants having Potential in the Management of Hyperlipidemia v Phytochemistry and Pharmacology of Alangium Sp. v In vitro Antisickling Activity of Anthocyanins Extracts from Morinda lucida v Antioxidant and Antihypertensive Investigation of Parinari curatellifolia v Clinical Evaluation of Anacardium occidentale v Effect of Emblica officinalis Diet in Streptozotocin Diabetic Mice The present volume, with its balanced approach will be a valuable, and an important research manual, that will stimulate interest and satisfy the need for further knowledge of this rapidly expanding and exciting discipline.
Published: 2013

41. Tourism in India

Author: V. K. Gupta and V. K. Gupta
Abstract: India is a treasure of natural surroundings, scenic beauties, historical monuments, hill ranges, pilgrimage places, colourful picnic spots etc. In this study the author has given regionwise many information for the people who wish to see india and its culture.
Published: 2013

42. Lipid Profile and Correlation to Cardiac Risk Factors and Cardiovascular Function in Type 1 Adolescent Diabetics from a Developing Country

Author: V. K. Gupta, Aashima Dabas, and Sangeeta Yadav
Subjects: medicine.medical_specialty, Type 1 diabetes, Ejection fraction, Article Subject, medicine.diagnostic_test, business.industry, Cholesterol, lcsh:RJ1-570, Blood lipids, nutritional and metabolic diseases, lcsh:Pediatrics, medicine.disease, chemistry.chemical_compound, Endocrinology, chemistry, Internal medicine, Pediatrics, Perinatology and Child Health, Cohort, Clinical Study, Cardiology, Medicine, business, Lipid profile, Dyslipidemia, Macrovascular disease
Abstract: Objective. The adverse role of dyslipidemia in predicting cardiovascular outcomes has not been elucidated extensively among type 1 diabetics in the literature.Methods. We assessed dyslipidemia and its correlation to other cardiac risk factors in adolescents with type 1 diabetes. Total thirty type 1 adolescent diabetics were evaluated for their metabolic profile, including serum lipids and echocardiography was performed.Results. The average age of the cohort was 14.3 ± 3.09 yr with disease duration of 5.35 ± 2.94 yr. The mean HbA1C was 8.01%. The mean serum cholesterol, LDL, HDL, and triglyceride were normal. Serum cholesterol was high in patients with longer disease duration (P=0.011,r=0.41), high systolic blood pressure (P=0.04,r=0.32), and elevated HbA1C > 8% (P=0.038,r=0.33). Higher lipid values were associated with poorer carotid artery distensibility (P>0.05) and higher carotid artery intimomedial thickness (cIMT) (P<0.05for cholesterol and LDL). Hyperglycemia adversely affected ejection fractions, though serum lipids did not show any significant effect on left ventricular parameters. Conclusions. Dyslipidemia and hyperglycemia can serve as biomarkers for cardiovascular dysfunction in at-risk adolescents with type 1 diabetes. Carotid artery parameters are adjunctive tools which may be affected early in the course of macrovascular disease.
Published: 2014

43. Assessing Wheat Yellow Rust Disease through Hyperspectral Remote Sensing

Author: Krishna, Gopal, R N Sahoo, S Pargal, V K Gupta, P Sinha, S Bhagat, M S Saharan, and R Singh
Published: 2014
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44. Study of hadronic event shape in flavour tagged events in e+e- annihilation at sqrt(s) = 197 GeV

Author: P. ACHARD, O. ADRIANI, M. AGUILAR BENITEZ, J. ALCARAZ, G. ALEMANNI, J. ALLABY, A. ALOISIO, M. G. ALVIGGI, H. ANDERHUB, V. P. ANDREEV, F. ANSELMO, A. AREFIEV, T. AZEMOON, T. AZIZ, P. BAGNAIA, A. BAJO, G. BAKSAY, L. BAKSAY, S. V. BALDEW, S. BANERJEE, S.W. BANERJEE, A. BARCZYK, R. BARILLÈRE, P. BARTALINI, N. BATALOVA, R. BATTISTON, A. BAY, U. BECKER, F. BEHNER, L. BELLUCCI, R. BERBECO, J. BERDUGO, P. BERGES, B. BERTUCCI, B. L. BETEV, M. BIASINI, M. BIGLIETTI, A. BILAND, J. J. BLAISING, S. C. BLYTH, G. J. BOBBINK, A. BÖHM, L. BOLDIZSAR, B. BORGIA, S. BOTTAI, D. BOURILKOV, M. BOURQUIN, S. BRACCINI, J. G. BRANSON, F. BROCHU, J. D. BURGER, W. J. BURGER, X. D. CAI, M. CAPELL, G. CARA ROMEO, G. CARLINO, A. CARTACCI, J. CASAUS, F. CAVALLARI, N. CAVALLO, C. CECCHI, M. CERRADA, M. CHAMIZO, Y. H. CHANG, M. CHEMARIN, A. CHEN, G. CHEN, G. M. CHEN, H. F. CHEN, H. S. CHEN, G. CHIEFARI, F. CINDOLO, I. CLARE, R. CLARE, G. COIGNET, N. COLINO, S. COSTANTINI, B. DE LA CRUZ, S. CUCCIARELLI, R. DE ASMUNDIS, P. DÉGLON, J. DEBRECZENI, A. DEGRÉ, K. DEHMELT, K. DEITERS, D. DELLA VOLPE, E. DELMEIRE, P. DENES, F. DENOTARISTEFANI, A. DE SALVO, M. DIEMOZ, M. DIERCKXSENS, C. DIONISI, M. DITTMAR, A. DORIA, M. T. DOVA, D. DUCHESNEAU, M. DUDA, B. ECHENARD, A. ELINE, A. EL HAGE, H. EL MAMOUNI, A. ENGLER, F. J. EPPLING, P. EXTERMANN, M. A. FALAGAN, S. FALCIANO, A. FAVARA, J. FAY, O. FEDIN, M. FELCINI, T. FERGUSON, H. FESEFELDT, E. FIANDRINI, J. H. FIELD, F. FILTHAUT, P. H. FISHER, W. FISHER, G. FORCONI, K. FREUDENREICH, C. FURETTA, Y.U. GALAKTIONOV, S. N. GANGULI, P. GARCIA ABIA, M. GATAULLIN, S. GENTILE, S. GIAGU, Z. F. GONG, G. GRENIER, O. GRIMM, M. W. GRUENEWALD, V. K. GUPTA, A. GURTU, L. J. GUTAY, D. HAAS, D. HATZIFOTIADOU, T. HEBBEKER, A. HERVÉ, J. HIRSCHFELDER, H. HOFER, M. HOHLMANN, G. HOLZNER, S. R. HOU, B. N. JIN, P. JINDAL, L. W. JONES, P. DE JONG, I. JOSA MUTUBERRIA, M. KAUR, M. N. KIENZLE FOCACCI, J. K. KIM, J. KIRKBY, W. KITTEL, A. KLIMENTOV, A. C. KÖNIG, M. KOPAL, V. KOUTSENKO, M. KRÄBER, R. W. KRAEMER, A. KRÜGER, A. KUNIN, P. LADRON DE GUEVARA, I. LAKTINEH, G. LANDI, M. LEBEAU, A. LEBEDEV, P. LEBRUN, P. LECOMTE, P. LECOQ, P. LE COULTRE, J. M. LE GOFF, R. LEISTE, M. LEVTCHENKO, P. LEVTCHENKO, C. LI, S. LIKHODED, C. H. LIN, W. T. LIN, F. L. LINDE, L. LISTA, Z. A. LIU, W. LOHMANN, E. LONGO, Y. S. LU, C. LUCI, L. LUMINARI, W. LUSTERMANN, W. G. MA, L. MALGERI, A. MALININ, C. MAÑA, J. MANS, J. P. MARTIN, F. MARZANO, K. MAZUMDAR, R. R. MCNEIL, S. MELE, L. MEROLA, M. MESCHINI, W. J. METZGER, A. MIHUL, H. MILCENT, G. MIRABELLI, J. MNICH1, G. B. MOHANTY, G. S. MUANZA, A. J. M. MUIJS, M. MUSY, S. NAGY, S. NATALE, M. NAPOLITANO, F. NESSI TEDALDI, H. NEWMAN, A. NISATI, T. NOVAK, H. NOWAK, R. OFIERZYNSKI, G. ORGANTINI, I. PAL, C. PALOMARES, P. PAOLUCCI, R. PARAMATTI, G. PASSALEVA, S. PATRICELLI, T. PAUL, M. PAULUZZI, C. PAUS, F. PAUSS, M. PEDACE, S. PENSOTTI, D. PERRET GALLIX, D. PICCOLO, F. PIERELLA, M. PIERI, M. PIOPPI, P. A. PIROUÉ, E. PISTOLESI, V. PLYASKIN, M. POHL, V. POJIDAEV, J. POTHIER, D. PROKOFIEV, G. RAHAL CALLOT, M. A. RAHAMAN, P. RAICS, N. RAJA, R. RAMELLI, P. G. RANCOITA, R. RANIERI, A. RASPEREZA, P. RAZIS, S. REMBECZKI, D. REN, M. RESCIGNO, S. REUCROFT, S. RIEMANN, K. RILES, B. P. ROE, L. ROMERO, A. ROSCA, C. ROSEMANN, C. ROSENBLECK, S. ROSIER LEES, S. ROTH, J. A. RUBIO, G. RUGGIERO, H. RYKACZEWSKI, A. SAKHAROV, S. SAREMI, S. SARKAR, J. SALICIO, E. SANCHEZ, C. SCHÄFER, V. SCHEGELSKY, H. SCHOPPER, D. J. SCHOTANUS, C. SCIACCA, L. SERVOLI, S. SHEVCHENKO, N. SHIVAROV, V. SHOUTKO, E. SHUMILOV, A. SHVOROB, D. SON, C. SOUGA, P. SPILLANTINI, M. STEUER, D. P. STICKLAND, B. STOYANOV, A. STRAESSNER, K. SUDHAKAR, G. SULTANOV, L. Z. SUN, S. SUSHKOV, H. SUTER, J. D. SWAIN, Z. SZILLASI, X. W. TANG, P. TARJAN, L. TAUSCHER, L. TAYLOR, B. TELLILI, D. TEYSSIER, C. TIMMERMANS, S.A.M.U.E.L. C. C. TING, S. M. TING, S. C. TONWAR, J. TÓTH, C. TULLY, K. L. TUNG, J. ULBRICHT, E. VALENTE, R. T. VAN DE WALLE, R. VASQUEZ, G. VESZTERGOMBI, I. VETLITSKY, G. VIERTEL, M. VIVARGENT, S. VLACHOS, I. VODOPIANOV, H. VOGEL, H. VOGT, I. VOROBIEV, A. A. VOROBYOV, M. WADHWA, Q. WANG, X. L. WANG, Z. M. WANG, M. WEBER, S. WYNHOFF, L. XIA, Z. Z. XU, J. YAMAMOTO, B. Z. YANG, C. G. YANG, H. J. YANG, M. YANG, S. C. YEH4, A.N. ZALITE, Y.U. ZALITE, Z. P. ZHANG, J. ZHAO, G. Y. ZHU, R. Y. ZHU, H. L. ZHUANG, A. ZICHICHI, B. ZIMMERMANN, M. ZÖLLER, BASILE, MAURIZIO, CIFARELLI, LUISA, P. ACHARD, O. ADRIANI, M. AGUILAR-BENITEZ, J. ALCARAZ, G. ALEMANNI, J. ALLABY, A. ALOISIO, M. G. ALVIGGI, H. ANDERHUB, V. P. ANDREEV, F. ANSELMO, A. AREFIEV, T. AZEMOON, T. AZIZ, P. BAGNAIA, A. BAJO, G. BAKSAY, L. BAKSAY, S. V. BALDEW, S. BANERJEE, SW. BANERJEE, A. BARCZYK, R. BARILLÈRE, P. BARTALINI, M. BASILE, N. BATALOVA, R. BATTISTON, A. BAY, U. BECKER, F. BEHNER, L. BELLUCCI, R. BERBECO, J. BERDUGO, P. BERGES, B. BERTUCCI, B. L. BETEV, M. BIASINI, M. BIGLIETTI, A. BILAND, J. J. BLAISING, S. C. BLYTH, G.J. BOBBINK, A. BÖHM, L. BOLDIZSAR, B. BORGIA, S. BOTTAI, D. BOURILKOV, M. BOURQUIN, S. BRACCINI, J. G. BRANSON, F. BROCHU, J. D. BURGER, W. J. BURGER, X. D. CAI, M. CAPELL, G. CARA ROMEO, G. CARLINO, A. CARTACCI, J. CASAUS, F. CAVALLARI, N. CAVALLO, C. CECCHI, M.CERRADA, M. CHAMIZO, Y. H. CHANG, M. CHEMARIN, A. CHEN, G. CHEN, G. M. CHEN, H.F. CHEN, H. S. CHEN, G. CHIEFARI, L. CIFARELLI, F. CINDOLO, I. CLARE, R. CLARE, G. COIGNET, N. COLINO, S. COSTANTINI, B. DE LA CRUZ, S. CUCCIARELLI, R. DE ASMUNDIS, P. DÉGLON, J. DEBRECZENI, A. DEGRÉ, K. DEHMELT, K. DEITERS, D. DELLA VOLPE, E. DELMEIRE, P. DENES, F. DENOTARISTEFANI, A. DE SALVO, M. DIEMOZ, M. DIERCKXSENS, C. DIONISI, M. DITTMAR, A. DORIA, M. T. DOVA, D. DUCHESNEAU, M. DUDA, B. ECHENARD, A. ELINE, A. EL HAGE, H. EL MAMOUNI, A. ENGLER, F.J. EPPLING, P. EXTERMANN, M. A. FALAGAN, S. FALCIANO, A. FAVARA, J. FAY, O. FEDIN, M. FELCINI, T. FERGUSON, H. FESEFELDT, E. FIANDRINI, J. H. FIELD, F. FILTHAUT, P. H. FISHER, W. FISHER, G. FORCONI, K. FREUDENREICH, C. FURETTA, YU. GALAKTIONOV, S. N. GANGULI, P. GARCIA-ABIA, M. GATAULLIN, S. GENTILE, S. GIAGU, Z. F. GONG, G. GRENIER, O. GRIMM, M. W. GRUENEWALD, V. K. GUPTA, A. GURTU, L. J. GUTAY, D. HAAS, D. HATZIFOTIADOU, T. HEBBEKER, A. HERVÉ, J. HIRSCHFELDER, H. HOFER, M. HOHLMANN, G. HOLZNER, S. R. HOU, B. N. JIN, P. JINDAL, L. W. JONES, P. DE JONG, I. JOSA-MUTUBERRIA, M. KAUR, M. N. KIENZLE-FOCACCI, J. K. KIM, J. KIRKBY, W. KITTEL, A. KLIMENTOV, A. C. KÖNIG, M. KOPAL, V. KOUTSENKO, M. KRÄBER, R. W. KRAEMER, A. KRÜGER, A. KUNIN, P. LADRON DE GUEVARA, I. LAKTINEH, G. LANDI, M. LEBEAU, A. LEBEDEV, P. LEBRUN, P. LECOMTE, P. LECOQ, P. LE COULTRE, J. M. LE GOFF, R. LEISTE, M. LEVTCHENKO, P. LEVTCHENKO, C. LI, S. LIKHODED, C. H. LIN, W. T. LIN, F. L. LINDE, L. LISTA, Z. A. LIU, W. LOHMANN, E. LONGO, Y. S. LU, C. LUCI, L. LUMINARI, W. LUSTERMANN, W. G. MA, L. MALGERI, A. MALININ, C. MAÑA, J. MANS, J. P. MARTIN, F. MARZANO, K. MAZUMDAR, R. R. MCNEIL, S. MELE, L. MEROLA, M. MESCHINI, W. J. METZGER, A. MIHUL, H. MILCENT, G. MIRABELLI, J. MNICH1, G. B. MOHANTY, G. S. MUANZA, A. J. M. MUIJS, M. MUSY, S. NAGY, S. NATALE, M. NAPOLITANO, F. NESSI-TEDALDI, H. NEWMAN, A. NISATI, T. NOVAK, H. NOWAK, R. OFIERZYNSKI, G. ORGANTINI, I. PAL, C. PALOMARES, P. PAOLUCCI, R. PARAMATTI, G. PASSALEVA, S. PATRICELLI, T. PAUL, M. PAULUZZI, C. PAUS, F. PAUSS, M. PEDACE, S. PENSOTTI, D. PERRET-GALLIX, D. PICCOLO, F. PIERELLA, M. PIERI, M. PIOPPI, P. A. PIROUÉ, E. PISTOLESI, V. PLYASKIN, M. POHL, V. POJIDAEV, J. POTHIER, D. PROKOFIEV, G. RAHAL-CALLOT, M. A. RAHAMAN, P. RAICS, N. RAJA, R. RAMELLI, P. G. RANCOITA, R. RANIERI, A. RASPEREZA, P. RAZIS, S. REMBECZKI, D. REN, M. RESCIGNO, S. REUCROFT, S. RIEMANN, K. RILES, B. P. ROE, L. ROMERO, A. ROSCA, C. ROSEMANN, C. ROSENBLECK, S. ROSIER-LEES, S. ROTH, J. A. RUBIO, G. RUGGIERO, H. RYKACZEWSKI, A. SAKHAROV, S. SAREMI, S. SARKAR, J. SALICIO, E. SANCHEZ, C. SCHÄFER, V. SCHEGELSKY, H. SCHOPPER, D. J. SCHOTANUS, C. SCIACCA, L. SERVOLI, S. SHEVCHENKO, N. SHIVAROV, V. SHOUTKO, E. SHUMILOV, A. SHVOROB, D. SON, C. SOUGA, P. SPILLANTINI, M. STEUER, D. P. STICKLAND, B. STOYANOV, A. STRAESSNER, K. SUDHAKAR, G. SULTANOV, L. Z. SUN, S. SUSHKOV, H. SUTER, J. D. SWAIN, Z. SZILLASI, X. W. TANG, P. TARJAN, L. TAUSCHER, L. TAYLOR, B. TELLILI, D. TEYSSIER, C. TIMMERMANS, SAMUEL. C. C. TING, S. M. TING, S. C. TONWAR, J. TÓTH, C. TULLY, K. L. TUNG, J. ULBRICHT, E. VALENTE, R. T. VAN DE WALLE, R. VASQUEZ, G. VESZTERGOMBI, I. VETLITSKY, G. VIERTEL, M. VIVARGENT, S. VLACHOS, I. VODOPIANOV, H. VOGEL, H. VOGT, I. VOROBIEV, A. A. VOROBYOV, M. WADHWA, Q. WANG, X. L. WANG, Z. M. WANG, M. WEBER, S. WYNHOFF, L. XIA, Z.Z. XU, J. YAMAMOTO, B. Z. YANG, C.G. YANG, H.J. YANG, M. YANG, S.C. YEH4, AN. ZALITE, YU. ZALITE, Z. P. ZHANG, J. ZHAO, G.Y. ZHU, R.Y. ZHU, H.L. ZHUANG, A. ZICHICHI, B. ZIMMERMANN, and M. ZÖLLER
Published: 2008

45. Biotechnology of Fungal Genes

Author: V. K. Gupta, M. Ayyachamy, V. K. Gupta, and M. Ayyachamy
Subjects: Genetic engineering, Antibacterial agents, Fungi, Fungi--Genetics
Abstract: This volume focuses on filamentous fungi and highlights the advances of the past decade, both in methodology and in the understanding of genomic organization and regulation of gene and pathway expression. The approaches and techniques of molecular biology enable us to ask and answer fundamental questions about many aspects of fungal biology, and op
Published: 2012

46. Upsilon production in Z decays

Author: J. Alcaraz, P. Schmitz, Y. Galaktionov, Francesca Cavallari, V. Schegelsky, Maurizio Biasini, Marta Felcini, C. Leggett, J. D. Burger, Francesco Becattini, R. W. Kraemer, Y. D. Oh, U. K. Chaturvedi, J. P. Martin, P. Lebrun, S. Wynhoff, H. Rykaczewski, Giovanni Organtini, G. Y. Zhu, Y. Karyotakis, R. C. Ball, A. Nippe, S. Easo, M. Vivargent, Kati Lassila-Perini, E. Shumilov, A. Mihul, G. Alemanni, Z. A. Liu, C. Sciacca, F. DeNotaristefani, Manas Maity, P. Berges, Steve Nahn, J. H. Field, D. H. Kim, V. Shoutko, P. Spillantini, Werner Lustermann, A. Vorvolakos, X. Y. Yao, W. W. Kinnison, W.G. Ma, L. J. Gutay, A. Malinin, An. Zalite, J. G. Xu, G. Landi, Marco Meschini, S. C. Yeh, D. Kirkby, P. Bartalini, G. Mirabelli, G. Chiefari, R. Völkert, M. Tonutti, R. Y. Zhu, S. Falciano, Y. J. Pei, P. Marchesini, R. Leiste, H. Anderhub, S. Roth, W. J. Metzger, Christoph Paus, T. Paul, Jean Fay, S. N. Ganguli, D. Boutigny, H.F. Chen, L. Luminari, Christopher George Tully, R. Mount, N. Cavallo, A. Lebedev, Dong-Chul Son, Mingshui Chen, P. Molnar, M. Schneegans, S. Ahlen, N. Gheordanescu, C. Lapoint, K. Lübelsmeyer, J. Gerald, R. Faccini, V. Brigljevic, G. F. Susinno, G. Gratta, A. Chen, J. J. Blaising, Wolfgang Lohmann, Raffaello D'Alessandro, H. Vogt, B. Bertucci, Nicolas Produit, Stefano Giagu, M. Bourquin, H. K. Park, Bryan R. Smith, H. El Mamouni, A. Buffini, George Alverson, Luisa Cifarelli, F. Anselmo, Nicanor Colino, D. Pandoulas, H. Tuchscherer, W. J. Burger, W. Lu, A. Straessner, O. Adriani, F. J. Eppling, P. Bagnaia, Lucas Taylor, S. Bhattacharya, Federico Cindolo, S. Mangla, Luca Lista, Joachim Mnich, D. Ren, B. Monteleoni, C. Maña, M. von der Mey, C. Dionisi, Michael Dittmar, Simone Paoletti, Suchandra Dutta, I. Dome, J. B. Ye, James G Branson, Juven Wang, Mariagrazia Alviggi, A. J.M. Muijs, B. P. Roe, J. Shukla, V. Innocente, A. Robohm, F. Cesaroni, M. Chamizo, Emilio Leonardi, W. C. van Hoek, Suresh C Tonwar, M. Napolitano, A. P. Colijn, Manjit Kaur, Frank Filthaut, L. Z. Sun, L. Tauscher, J. D. Swain, D. Peach, T. Azemoon, C. G. Yang, R. Bock, Thomas Ferguson, A. Kunin, Dimitri Bourilkov, Pierluigi Paolucci, M. W. Gruenewald, Hafeez R Hoorani, A. Biland, I. Josa-Mutuberria, S. C. Kim, L. W. Jones, Willis Lin, S. Braccini, T. Angelescu, I. Vetlitsky, G. Castellini, R. A. Khan, W. van Rossum, R. T. Van de Walle, D. J. Schotanus, D. Kamrad, B. Fenyi, U. Becker, G. Forconi, Igor Vorobiev, S. Pensotti, B. Petersen, A. Barczyk, G. J. Bobbink, J. Berdugo, Yongsun Kim, Vladimir Andreev, L. Baksay, F. Cotorobai, P. Levtchenko, Z. Z. Xu, K. Riles, D. Sciarrino, J. Casaus, Y. Zhou, D. Ruschmeier, Z. F. Gong, S. Shevchenko, Gyorgy Vesztergombi, P. Zemp, M. Rescigno, C. Y. Chien, I. Fisk, Dong-Hyun Kim, Panos A Razis, Y. H. Chang, F. Behner, F. C. Emé, R. Barillère, P. Laurikainen, J. S. Kapustinsky, A. Böhm, Howard A. Stone, K. Sudhakar, G. Coignet, Helmut Vogel, G. Sauvage, Andrea Baschirotto, T.S. Dai, Marcos Cerrada, V. K. Gupta, Y. Mi, J. A. Rubio, T. Moulik, S. Goldfarb, G. Pascale, Andre Sopczak, P. de Jong, N. Shivarov, Claudio Luci, F. Wittgenstein, X. W. Tang, Alessandra Doria, M. N. Kienzle-Focacci, Roberto Battiston, M. Campanelli, Joel Goldstein, Yu. Zalite, Robert Clare, A. Zichichi, Y. S. Lu, A. Engler, A. Csilling, Harvey B Newman, Thomas Hebbeker, Paul Lecoq, Axel König, S. Müller, S. Petrak, B. Borgia, S. X. Wu, M. T. Dova, B. N. Jin, R. Ostonen, A. Marin, S. Morganti, J. Ulbricht, S. Reucroft, A. Favara, I. H. Park, A. Weber, H. S. Fesefeldt, C. H. Lin, E. Pistolesi, F. Di Lodovico, D. Duchesneau, H. S. Chen, L. Servoli, Gobinda Majumder, N. Scholz, D. O. Prokofiev, F. L. Linde, V. Pojidaev, D. DiBitonto, F. Ziegler, F. Muheim, Jasper Kirkby, X. D. Cai, S. R. Hou, M. Wadhwa, David Stickland, Ph. Rosselet, M. Sassowsky, A. J.W. van Mil, A. Boucham, Anna Katharina Kopp, M. Steuer, Pablo Garcia-Abia, Alain Hervé, E. J. Sanchez, Y. Uchida, C. Palomares, Luciano Romero, A.M. Cartacci, A. Bay, A. Buijs, Oleg Fedin, I. Clare, J. Busenitz, Carlo Civinini, G. Raven, J. Tóth, M. P. Sanders, L. Merola, J. P. Emenwein, G. G.G. Massaro, M. Aguilar-Benitez, Marcella Diemoz, M. Fabre, K. Banicz, D. Perret-Gallix, V. Soulimov, B. L. Betev, Francesca Nessi-Tedaldi, M. Lebeau, Herwig Schopper, S. Gentile, H. Postema, A. Pevsner, A. Gurtu, Luciano Barone, S. V. Chekanov, S. C. Blyth, T. van Rhee, K. L. Tung, A. Arefiev, Yu. Efremenko, T. Siedenburg, D. Schmitz, P. Extermann, W. Kittel, Salvatore Mele, P. Lecomte, Christoph Schäfer, B. Z. Yang, G. Rahal-Callot, N. Raja, E. Valente, W. Krenz, V. Commichau, H. Suter, D. McNally, B. Hartmann, A. Hasan, Y. Kamyshkov, J. Schwenke, E. Fiandrini, S. Costantini, Gianpaolo Carlino, F. Ferroni, G. Schwering, C. Furetta, J. C. Pinto, M. Acciarri, Guo-Ming Chen, U. Uwer, D. van Dierendonck, J. Salicio, A. Shvorob, J. K. Kim, V. Koutsenko, A. Kirkby, C. Li, B. Stoyanov, S. Schmidt-Kaerst, S. S. Gau, E. Drago, Gian Mario Bilei, H. Nowak, Samuel C.C. Ting, P. Duinker, I. Korolko, A. Klimentov, K. Jenkes, Zheng Wang, Zhenyu Zhang, H. Janssen, Kenneth Francis Read, M. E. Sarakinos, K. Strauch, P. Ladron de Guevara, B. De La Cruz, G. Hu, Konrad Deiters, A. Gougas, Alberto Aloisio, I. C. Brock, P. A. Piroué, G. Viertel, B. Zhou, H. Hofer, P. G. Rancoita, S. Banerjee, Zp Zhang, P. Denes, M. Pauluzzi, G. Passaleva, Tariq Aziz, W. Wallraff, I. Duran, J.V. Allaby, D. Hatzifotiadou, J. Rodin, H. Opitz, Laszlo Boldizsar, T. Niessen, L. Fredj, F. Marzano, Marco Pieri, G. Ambrosi, S. Riemann, Roger Moore, Georgi Sultanov, X. L. Wang, M. Chemarin, R. de Asmundis, G. M. Chen, Aaron Dominguez, Felicitas Pauss, S. Rosier-Lees, P. Le Coultre, M. Basile, D. Mangeol, D. Luckey, D. Kiss, Aleandro Nisati, L. Malgeri, O. Rind, G. Cara Romeo, C. Cecchi, Subir Sarkar, K. Freudenreich, A. A. Vorobyov, M. Pohl, J. M. You, V. Plyaskin, M. Capell, Y. Zeng, J. M. Le Goff, A. Kasser, E. Longo, H. O. Cohn, Davide Piccolo, A. Degré, P. H. Fisher, M. Rattaggi, S. Patricelli, S. J. Hong, S. M. Ting, Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Nucléaire de Lyon (IPNL), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), CMS, Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), L3, Ambrosi, Giovanni, Bourquin, Maurice, Braccini, Saverio, Burger, William, Paus-Cecchi, Claudia, Extermann, Pierre, Field, John, Fredj, Lotfi, Kienzle, Maria-Novella, Muheim, Franz, Produit, Nicolas, Sciarrino, Deborah, Susinno, Gabriele, LEP (IHEF, IoP, FNWI), Acciarri, M., Adriani, O., Aguilarbenitez, M., Ahlen, S., Alcaraz, J., Alemanni, G., Allaby, J., Aloisio, Alberto, Alverson, G., Alviggi, Mariagrazia, Ambrosi, G., Anderhub, H., Andreev, V. P., Angelescu, T., Anselmo, F., Arefiev, A., Azemoon, T., Aziz, T., Bagnaia, P., Baksay, L., Ball, R. C., Banerjee, S., Banicz, K., Barczyk, A., Barillere, R., Barone, L., Bartalini, P., Baschirotto, A., Basile, M., Battiston, R., Bay, A., Becattini, F., Becker, U., Behner, F., Berdugo, J., Berges, P., Bertucci, B., Betev, B. L., Bhattacharya, S., Biasini, M., Biland, A., Bilei, G. M., Blaising, J. J., Blyth, S. C., Bobbink, G. J., Bock, R., Bohm, A., Boldizsar, L., Borgia, B., Boucham, A., Bourilkov, D., Bourquin, M., Boutigny, D., Braccini, S., Branson, J. G., Brigljevic, V., Brock, I. C., Buffini, A., Buijs, A., Burger, J. D., Burger, W. J., Busenitz, J., Cai, X. D., Campanelli, M., Capell, M., Romeo, G. C., Carlino, G., Cartacci, A. M., Casaus, J., Castellini, G., Cavallari, F., Cavallo, N., Cecchi, C., Cerrada, M., Cesaroni, F., Chamizo, M., Chang, Y. H., Chaturvedi, U. K., Chekanov, S. V., Chemarin, M., Chen, A., Chen, G., Chen, G. M., Chen, H. F., Chen, H. 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M., Zalite, A., Zalite, Y., Zemp, P., Zeng, Y., Zhang, Z., Zhang, Z. P., Zhou, B., Zhou, Y., Zhu, G. Y., Zhu, R. Y., Zichichi, A., Ziegler, F., and Flores, Sylvie
Subjects: Physics, Nuclear and High Energy Physics, Particle physics, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], 010308 nuclear & particles physics, Hadron, HEAVY QUARKONIUM, LEP, ddc:500.2, 01 natural sciences, PHYSICS, Theoretical physics, 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Decay chain, J/PSI-PRODUCTION, FRAGMENTATION, 010306 general physics, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Particle Physics - Experiment, L3 EXPERIMENT
Abstract: We have searched for evidence of Upsilon production in 3.5 million hadronic Z decays collected by the L3 detector at LEP in 1991-1995. No signals are observed for the decay chain Z -> Upsilon X; Upsilon -> l+l- (l= e, mu), therefore upper limits at the 95% confidence level are set on the following Z branching fractions: BR (Z -> Upsilon(1S) X) < 5.5 x 10**-5; BR (Z -> Upsilon(2S) X) < 13.9 x 10**-5; BR (Z -> Upsilon(3S) X) < 9.4 x 10**-5.
Published: 1997

47. Role Of Process Parameters On Pocket Milling With Abrasive Water Jet Machining Technique

Author: T. V. K. Gupta, J. Ramkumar, Puneet Tandon, and N. S. Vyas
Subjects: traverse speed, abrasive size, surface finish, Abrasive flow rate, standoff distance
Abstract: Abrasive Water Jet Machining is an unconventional machining process well known for machining hard to cut materials. The primary research focus on the process was for through cutting and a very limited literature is available on pocket milling using AWJM. The present work is an attempt to use this process for milling applications considering a set of various process parameters. Four different input parameters, which were considered by researchers for part separation, are selected for the above application, i.e., abrasive size, flow rate, standoff distance and traverse speed. Pockets of definite size are machined to investigate surface roughness, material removal rate and pocket depth. Based on the data available through experiments on SS304 material, it is observed that higher traverse speeds gives a better finish because of reduction in the particle energy density and lower depth is also observed. Increase in the standoff distance and abrasive flow rate reduces the rate of material removal as the jet loses its focus and occurrence of collisions within the particles. ANOVA for individual output parameter has been studied to know the significant process parameters., {"references":["A. W. Momber, R. Kovacevic, H. Kwak, \"Alternative method for the \nevaluation of the abrasive water-jet cutting of grey cast iron\", Journal of \nMaterial Processing Technology, 1997, Vol. 65, Issue 1-3, pp. 65-72.","R. Kovacevic, \"Surface texture in abrasive waterjet cutting\", 1991, \nJournal of Manufacturing Systems, Vol. 10, Issue 1, pp. 32-40.","I. Finnie, \"Erosion of surfaces by solid particles\", 1960, Wear, Vol. 3, \npp. 87-103.","J. G. A. Bitter, \"A study of wear phenomenon Part I\", 1963, Wear, Vol. \n6, pp. 5-21.","J. G. A. Biter, \"A study of wear phenomenon Part II\", 1963, Wear, Vol. \n6, pp. 169-190.","R. Kovacevic, \"Monitoring the depth of abrasive water jet penetration\", \n1992, International Journal of Machine Tools & Manufacture, Vol. 31, \nNo.5, pp. 725-736.","F. L. Chen, E. Siores, W. C. K. Wong, \"Optimizing abrasive waterjet \ncutting of ceramic materials\", 1998, Journal of Material Processing \nTechnology 74, pp. 251-254.","F. L. Chen, E. Siores, \"The effect of cutting jet variation on striation \nformation in abrasive water jet cutting\", 2001, International Journal of \nMachine Tool & Manufacture, pp. 1479-1486.","F. L. Chen, J. Wang, E. Lemma, E. Siores, \"Striation formation \nmechanisms on the jet cutting surface\", 2003, \"Journal of Material \nProcessing Technology, 213-218. \n[10] K. M. C. Ojmertz, \"Analysis of surfaces produced by abrasive water jet \nmilling technique\", 1996, C. Gee (Ed), Jet Cutting Technology, \nMechanical Engineering, Publishers, Bury St. Edmunds, pp. 753-768. \n[11] R. T. Deam, E. Lemma, D. H. Ahmed, \"Modelling of abrasive water jet \ncutting process\", 2004, Wear, 257, pp. 877-891. \n[12] M. Hashish, \"Milling with Abrasive-Waterjets-A Preliminary \nInvestigation\", 1987, Proc. of the 4th U.S. Water Jet Conference, \nBerkeley, California, August 26-28, pp. 1-20. \n[13] M. Hashish, \"Controlled depth milling of isogrid structures using \nAWJS\", 1994, Reprinted from PED-Vol. 86-1, Manufacturing Science \nand Engineering, Book No. G0930A, pp. 413-419. \n[14] G. Fowler, P. H. Shipway, I. R. Pashby, \"A technical note on grit \nembedment following abrasive water jet milling of titanium alloy\", \n2005, Journal of Material Processing Technology, 159, pp. 356-368. \n[15] G. Fowler, P. H. Shipway, I. R. Pashby, \"Abrasive Water-jet controlled \ndepth milling of TiAl4V, alloy-an investigation of role of jet-workpiece \ntraverse speed and abrasive grit size on the characteristics of the milled \nsurface\", 2005, Journal of Material Processing Technology, 161, pp. \n407-414. \n[16] G. Fowler, P. H. Shipway, I. R. Pashby, \"The effect of particle hardness \nand shape when abrasive jet milling of titanium alloy Ti6Al4V\", 2009, \nWear, Vol. 266, Issues 7-8, pp. 613-620. \n[17] J. Wang, W. C. K. Wong, \"A study of abrasive waterjet cutting of \nmetallic coated sheet steel\", 1999, Intl. Journal of Machine Tools & \nManufacture, Vol. 39, pp. 855-870. \n[18] M. Ramulu, D. Arola, \"The influence of abrasive water jet cutting \nconditions on the surface quality of graphite/epoxy laminates\", 1994, \nIntl. Journal of Machine Tools & Manufacture, Vol. 34, Issue 3, pp. \n295-313."]}
Published: 2013
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48. Search for charged Higgs bosons: combined results using LEP data

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Müller, 21 G. Quast, 21 B. Renk, 21 E. Rohne, 21 H. G. Sander, 21 S. Schmeling, 21 H. Wachsmuth, 21 R. Wanke, 21 C. Zeitnitz, 21 T. Ziegler, 21 J. J. Aubert, 22 C. Benchouk, 22 A. Bonissent, 22 J. Carr, 22 P. Coyle, 22 C. Curtil, 22 A. Ealet, 22 F. Etienne, 22 D. Fouchez, 22 F. Motsch, 22 P. Payre, 22 D. Rousseau, 22 A. Tilquin, 22 M. Talby, 22 M. Thulasidas, 22 M. Aleppo, 23 M. Antonelli, 23 F. Ragusa, 23 V. Büscher, 24 A. David, 24 H. Dietl, a32 G. Ganis, a27 K. Hüttmann, 24 G. Lütjens, 24 C. Mannert, 24 W. Männer, a32 H. G. Moser, 24 R. Settles, 24 H. Seywerd, 24 H. Stenzel, 24 M. Villegas, 24 W. Wiedenmann, 24 G. Wolf, 24 P. Azzurri, 25 J. Boucrot, 25 O. Callot, 25 S. Chen, 25 A. Cordier, 25 M. Davier, 25 L. Duflot, 25 J. F. Grivaz, 25 P.h. Heusse, 25 A. Jacholkowska, a6 F. Le Diberder, 25 J. Lefrançois, 25 A. M. Mutz, 25 M. H. Schune, 25 L. Serin, 25 J. J. Veillet, 25 I. Videau, 25 D. Zerwas, 25 P. Azzurri, 26 G. Bagliesi, 26 S. Bettarini, 26 T. Boccali, 26 C. Bozzi, 26 G. Calderini, 26 R. Dell’Orso, 26 R. Fantechi, 26 I. Ferrante, 26 F. Fidecaro, 26 L. Foà, 26 A. Giammanco, 26 A. Giassi, 26 A. Gregorio, 26 F. Ligabue, 26 A. Lusiani, 26 P. S. Marrocchesi, 26 A. Messineo, 26 F. Palla, 26 G. Rizzo, 26 G. Sanguinetti, 26 A. Sciabà, 26 G. Sguazzoni, 26 P. Spagnolo, 26 J. Steinberger, 26 R. Tenchini, 26 C. Vannini, 26 A. Venturi, 26 P. G. Verdini, 26 O. Awunor, 27 G. A. Blair, 27 G. Cowan, 27 A. Garcia Bellido, 27 M. G. Green, 27 T. Medcalf, 27 A. Misiejuk, 27 J. A. Strong, 27 P. Teixeira Dias, 27 D. R. Botterill, 28 R. W. Clifft, 28 T. R. Edgecock, 28 M. Edwards, 28 S. J. Haywood, 28 P. R. Norton, 28 I. R. Tomalin, 28 J. J. Ward, 28 B. Bloch Devaux, 29 D. Boumediene, 29 P. Colas, 29 S. Emery, 29 B. Fabbro, 29 W. Kozanecki, 29 E. Lançon, 29 M. C. Lemaire, 29 E. Locci, 29 P. Perez, 29 J. Rander, 29 J. F. Renardy, 29 A. Roussarie, 29 J. P. Schuller, 29 J. Schwindling, 29 B. Tuchming, 29 B. Vallage, 29 S. N. Black, 30 J. H. Dann, 30 H. Y. Kim, 30 N. Konstantinidis, 30 A. M. Litke, 30 M. A. McNeil, 30 G. Taylor, 30 C. N. Booth, 31 S. Cartwright, 31 F. Combley, a25 P. N. Hodgson, 31 M. Lehto, 31 L. F. Thompson, 31 K. Affholderbach, 32 E. Barberio, 32 A. Böhrer, 32 S. Brandt, 32 H. Burkhardt, 32 E. Feigl, 32 C. Grupen, 32 J. Hess, 32 G. Lutters, 32 H. Meinhard, 32 J. Minguet Rodriguez, 32 L. Mirabito, 32 A. Misiejuk, 32 E. Neugebauer, 32 A. Ngac, 32 G. Prange, 32 F. Rivera, 32 P. Saraiva, 32 U. Schäfer, 32 U. Sieler, 32 L. Smolik, 32 F. Stephan, 32 H. Trier, 32 M. Apollonio, 33 C. Borean, 33 L. Bosisio, 33 R. Della Marina, 33 G. Giannini, 33 B. Gobbo, 33 G. Musolino, 33 L. Pitis, 33 H. He, 34 H. Kim, 34 J. Putz, 34 J. Rothberg, 34 S. R. Armstrong, 35 L. Bellantoni, 35 K. Berkelman, 35 D. Cinabro, 35 J. S. Conway, 35 K. Cranmer, 35 P. Elmer, 35 Z. Feng, 35 D. P. S. Ferguson, 35 Y. Gao, a13 S. González, 35 J. Grahl, 35 J. L. Harton, 35 O. J. Hayes, 35 H. Hu, 35 S. Jin, 35 R. P. Johnson, 35 J. Kile, 35 P. A. McNamara III, 35 J. Nielsen, 35 W. Orejudos, 35 Y. B. Pan, 35 Y. Saadi, 35 I. J. Scott, 35 V. Sharma, 35 A. M. Walsh, 35 J. Walsh, 35 J. Wear, 35 J. H. von Wimmersperg Toeller, 35 W. Wiedenmann, 35 J. Wu, 35 S. L. Wu, 35 X. Wu, 35 J. M. Yamartino, 35 G. Zobernig, 35 G. Dissertori, J. Abdallah, 27 P. Abreu, 24 W. Adam, 56 P. Adzic, 13 T. Albrecht, 19 R. Alemany Fernandez, 10 T. Allmendinger, 19 P. P. Allport, 25 U. Amaldi, 31 N. Amapane, 49 S. Amato, 53 E. Anashkin, 38 A. Andreazza, 30 S. Andringa, 24 N. Anjos, 24 P. Antilogus, 27 W. D. Apel, 19 Y. Arnoud, 16 S. Ask, 10 B. Asman, 48 J. E. Augustin, 27 A. Augustinus, 10 P. Baillon, 10 A. Ballestrero, 50 P. Bambade, 22 R. Barbier, 29 D. Bardin, 18 G. J. Barker, 58 A. Baroncelli, 41 M. Battaglia, 10 M. Baubillier, 27 K. H. Becks, 59 M. Begalli, 8 A. Behrmann, 59 K. Belous, 44 E. Ben Haim, 27 N. Benekos, 34 A. Benvenuti, 6 C. Berat, 16 M. Berggren, 27 L. Berntzon, 48 D. Bertrand, 3 M. Besancon, 42 N. Besson, 42 D. Bloch, 11 M. Blom, 33 M. Bluj, 57 M. Bonesini, 31 M. Boonekamp, 42 P. S. L. BoothD, 25 G. Borisov, 23 O. Botner, 54 B. Bouquet, 22 T. J. V. Bowcock, 25 I. Boyko, 18 M. Bracko, 45 R. Brenner, 54 E. Brodet, 37 P. Bruckman, 20 J. M. Brunet, 9 L. Bugge, 35 B. Buschbeck, 56 P. Buschmann, 59 M. Calvi, 31 T. Camporesi, 10 V. Canale, 40 F. Carena, 10 N. Castro, 24 F. Cavallo, 6 M. Chapkin, 44 P.h. Charpentier, 10 P. Checchia, 38 R. Chierici, 29 P. Chliapnikov, 44 J. Chudoba, 14 K. Cieslik, 20 P. Collins, 10 R. Contri, 15 G. Cosme, 22 F. Cossutti, 51 M. J. Costa, 55 B. Crawley, 1 D. Crennell, 39 J. Cuevas, 36 J. D’Hondt, 3 J. Dalmau, 48 T. da Silva, 53 W. Da Silva, 27 G. Della Ricca, 51 A. De Angelis, 52 W. De Boer, 19 C. De Clercq, 3 B. De Lotto, 52 N. De Maria, 49 A. De Min, 38 L. de Paula, 53 L. Di Ciaccio, 40 A. Di Simone, 40 K. Doroba, 57 J. Drees, 59 M. Dris, 34 A. Duperrin, 29 G. Eigen, 5 T. Ekelof, 54 M. Ellert, 54 M. Elsing, 10 M. C. Espirito Santo, 24 G. Fanourakis, 13 D. Fassouliotis, 4 M. Feindt, 19 J. Fernandez, 43 A. Ferrer, 55 F. Ferro, 15 U. Flagmeyer, 59 H. Foeth, 10 E. Fokitis, 34 F. Fulda Quenzer, 22 J. Fuster, 55 M. Gandelman, 53 C. Garcia, 55 P.h. Gavillet, 10 E. Gazis, 34 D. Gele, 11 R. GokieliD, 57 B. Golob, 47 G. Gomez Ceballos, 43 P. Gonçalves, 24 E. Graziani, 41 G. Grosdidier, 22 K. Grzelak, 57 J. Guy, 39 C. Haag, 19 A. Hallgren, 54 K. Hamacher, 59 K. Hamilton, 37 S. Haug, 35 F. Hauler, 19 V. Hedberg, 28 M. Hennecke, 19 H. HerrD, 10 J. Hoffman, 57 S. O. Holmgren, 48 P. J. Holt, 10 M. A. Houlden, 25 K. Hultqvist, 48 J. N. Jackson, 25 G. Jarlskog, 28 P. Jarry, 42 D. Jeans, 37 E. K. Johansson, 48 P. D. Johansson, 48 P. Jonsson, 29 C. Joram, 10 L. Jungermann, 19 F. Kapusta, 27 S. Katsanevas, 29 E. Katsoufis, 34 G. Kernel, 45 B. P. Kersevan, 47 U. Kerzel, 19 A. Kiiskinen, 17 B. T. King, 25 N. J. Kjaer, 10 P. Kluit, 33 P. Kokkinias, 13 V. Kostioukhine, 15 C. Kourkoumelis, 4 O. Kouznetsov, 18 Z. Krumstein, 18 M. Kucharczyk, 20 J. Lamsa, 1 G. Leder, 56 F. Ledroit, 16 L. Leinonen, 48 R. Leitner, 32 J. Lemonne, 3 V. LepeltierD, 22 T. Lesiak, 20 J. Libby, 37 W. Liebig, 59 D. Liko, 56 A. Lipniacka, 5 J. H. Lopes, 53 J. M. Lopez, 36 D. Loukas, 13 P. Lutz, 42 L. Lyons, 37 J. MacNaughton, 56 A. Malek, 59 S. Maltezos, 34 F. Mandl, 56 J. Marco, 43 R. Marco, 43 B. Marechal, 53 M. Margoni, 38 J. C. Marin, 10 C. Mariotti, 10 A. Markou, 13 C. Martinez Rivero, 43 J. Masik, 14 N. Mastroyiannopoulos, 13 F. Matorras, 43 C. Matteuzzi, 31 F. Mazzucato, 38 M. Mazzucato, 38 R. Mc Nulty, 25 C. Meroni, 30 W. T. Meyer, 1 E. Migliore, 49 W. Mitaroff, 56 U. Mjoernmark, 28 T. Moa, 48 M. Moch, 19 K. Moenig, 12 R. Monge, 15 J. Montenegro, 33 D. Moraes, 53 P. Morettini, 15 U. Mueller, 59 K. Muenich, 59 M. Mulders, 33 L. Mundim, 8 W. Murray, 39 B. Muryn, 21 G. Myatt, 37 T. Myklebust, 35 M. Nassiakou, 13 F. Navarria, 6 K. Nawrocki, 57 S. Nemecek, 14 R. Nicolaidou, 42 V. Nikolaenko, 11 M. Nikolenko, 11 A. Oblakowska Mucha, 21 V. Obraztsov, 44 A. Olshevski, 18 A. Onofre, 24 R. Orava, 17 K. Osterberg, 17 A. Ouraou, 42 A. Oyanguren, 55 M. Paganoni, 31 S. Paiano, 6 J. P. Palacios, 25 H. PalkaD, 20 T.h. D. Papadopoulou, 34 L. Pape, 10 C. Parkes, 26 F. Parodi, 15 U. Parzefall, 10 A. Passeri, 41 O. Passon, 59 V. Perepelitsa, 55 A. Perrotta, 6 A. Petrolini, 15 J. Piedra, 43 L. Pieri, 38 F. PierreD, 42 M. Pimenta, 24 T. Podobnik, 47 V. Poireau, 10 M. E. Pol, 7 G. Polok, 20 P. PoropatD, 51 V. Pozdniakov, 18 N. Pukhaeva, 18 A. Pullia, 31 D. Radojicic, 37 J. Rames, 14 L. Ramler, 19 A. Read, 35 P. Rebecchi, 10 J. Rehn, 19 D. Reid, 33 R. Reinhardt, 59 P. Renton, 37 F. Richard, 22 J. Ridky, 14 I. Ripp Baudot, 11 M. Rivero, 43 D. Rodriguez, 43 A. Romero, 49 P. Ronchese, 38 E. Rosenberg, 1 P. Roudeau, 6 V. Ruhlmann Kleider, 42 D. Ryabtchikov, 44 A. Sadovsky, 18 L. Salmi, 17 J. Salt, 55 C. Sander, 19 A. Savoy Navarro, 27 U. Schwickerath, 10 A. SegarD, 37 R. Sekulin, 39 M. Siebel, 59 L. Simard, 42 A. SisakianD, 18 G. Smadja, 29 O. Smirnova, 28 A. Sokolov, 44 A. Sopczak, 23 R. Sosnowski, 57 T. Spassov, 10 M. Stanitzki, 19 A. Stocchi, 22 J. Strauss, 56 B. Stugu, 5 M. Szczekowski, 57 M. Szeptycka, 57 T. Szumlak, 21 T. Tabarelli, 31 A. C. Taffard, 25 F. Tegenfeldt, 54 F. Terranova, 31 J. Thomas, 37 J. Timmermans, 33 L. Tkatchev, 18 M. Tobin, 60 S. Todorovova, 14 B. Tomé, 24 A. Tonazzo, 31 P. Tortosa, 55 P. Travnicek, 14 D. Treille, 10 G. Tristram, 9 M. Trochimczuk, 57 C. Troncon, 30 M. L. Turluer, 42 I. A. Tyapkin, 18 P. Tyapkin, 18 S. Tzamarias, 13 V. Uvarov, 44 G. Valenti, 6 P. Van Dam, 33 J. Van Eldik, 10 A. Van Lysebetten, 3 N. van Remortel, 2 I. Van Vulpen, 33 G. Vegni, 30 F. Veloso, 24 W. Venus, 39 F. VerbeureD, 2 P. Verdier, 29 V. Verzi, 40 D. Vilanova, 42 L. Vitale, 51 V. Vrba, 14 H. Wahlen, 59 A. J. Washbrook, 25 C. Weiser, 19 D. Wicke, 59 J. Wickens, 3 G. Wilkinson, 37 M. Winter, 11 M. Witek, 20 O. Yushchenko, 44 A. Zalewska, 20 P. Zalewski, 57 D. Zavrtanik, 46 V. Zhuravlov, 18 N. I. Zimin, 18 A. Zintchenko, 18 M. Zupan, P. Achard, 20 O. Adriani, 17 M. Aguilar Benitez, 25 J. Alcaraz, 25 G. Alemanni, 23 J. Allaby, 18 A. Aloisio, 29 M. G. Alviggi, 29 H. Anderhub, 49 V. P. Andreev, 34 F. Anselmo, 8 A. Arefiev, 28 T. Azemoon, 3 T. Aziz, 9 P. Bagnaia, 39 A. Bajo, 25 G. Baksay, 26 L. Baksay, 26 S. V. Baldew, 2 S. Banerjee, 9 S.w. Banerjee, 4 A. Barczyk, 47 R. Barillère, 18 P. Bartalini, 8 N. Batalova, 46 R. Battiston, 33 A. Bay, 23 U. Becker, 13 F. Behner, 49 L. Bellucci, 17 R. Berbeco, 3 J. Berdugo, 25 P. Berges, 13 B. Bertucci, 33 B. L. Betev, 49 M. Biasini, 33 M. Biglietti, 29 A. Biland, 49 J. J. Blaising, 4 S. C. Blyth, 35 G. J. Bobbink, 2 A. Böhm, 1 L. Boldizsar, 12 B. Borgia, 39 S. Bottai, 17 D. Bourilkov, 49 M. Bourquin, 20 S. Braccini, 20 J. G. Branson, 41 F. Brochu, 4 J. D. Burger, 13 W. J. Burger, 33 X. D. Cai, 13 M. Capell, 13 G. Cara Romeo, 8 G. Carlino, 29 A. Cartacci, 17 J. Casaus, 25 F. Cavallari, 39 N. Cavallo, 36 C. Cecchi, 33 M. Cerrada, 25 M. Chamizo, 20 Y. H. Chang, 44 M. Chemarin, 24 A. Chen, 44 G. Chen, 7 G. M. Chen, 7 H. F. Chen, 22 H. S. Chen, 7 G. Chiefari, 40 F. Cindolo, 8 I. Clare, 13 R. Clare, 38 G. Coignet, 4 N. Colino, 25 S. Costantini, 39 B. de la Cruz, 25 S. Cucciarelli, 33 R. de Asmundis, 29 P. Déglon, 20 J. Debreczeni, 12 A. Degré, 4 K. Dehmelt, 26 K. Deiters, 47 D. della Volpe, 29 E. Delmeire, 20 P. Denes, 37 F. DeNotaristefani, 39 A. De Salvo, 49 M. Diemoz, 39 M. Dierckxsens, 2 C. Dionisi, 39 M. Dittmar, 49 A. Doria, 29 M. T. Dova, D. Duchesneau, 4 M. Duda, 1 B. Echenard, 20 A. Eline, 18 A. El Hage, 1 H. El Mamouni, 24 A. Engler, 35 F. J. Eppling, 13 P. Extermann, 20 M. A. Falagan, 25 S. Falciano, 39 A. Favara, 32 J. Fay, 24 O. Fedin, 34 M. Felcini, 49 T. Ferguson, 35 H. Fesefeldt, 1 E. Fiandrini, 33 J. H. Field, 20 F. Filthaut, 31 P. H. Fisher, 13 W. Fisher, 37 G. Forconi, 13 K. Freudenreich, 49 C. Furetta, 27 Y.u. Galaktionov, 13 S. N. Ganguli, 9 P. Garcia Abia, 25 M. Gataullin, 32 S. Gentile, 39 S. Giagu, 39 Z. F. Gong, 22 G. Grenier, 24 O. Grimm, 49 M. W. Gruenewald, 16 V. K. Gupta, 37 A. Gurtu, 9 L. J. Gutay, 46 D. Haas, 5 D. Hatzifotiadou, 8 T. Hebbeker, 1 A. Hervé, 18 J. Hirschfelder, 35 H. Hofer, 49 M. Hohlmann, 26 G. Holzner, 49 S. R. Hou, 44 B. N. Jin, 7 P. Jindal, 14 L. W. Jones, 3 P. de Jong, 2 I. Josa Mutuberría, 25 M. Kaur, 14 M. N. Kienzle Focacci, 20 J. K. Kim, 43 J. Kirkby, 18 W. Kittel, 31 A. Klimentov, 28 A. C. König, 31 M. Kopal, 46 V. Koutsenko, 28 M. Kräber, 49 R. W. Kraemer, 35 A. Krüger, 48 A. Kunin, 13 P. Ladron de Guevara, 25 I. Laktineh, 24 G. Landi, 17 M. Lebeau, 18 A. Lebedev, 13 P. Lebrun, 24 P. Lecomte, 49 P. Lecoq, 18 P. Le Coultre, 49 J. M. Le Goff, 18 R. Leiste, 48 M. Levtchenko, 27 P. Levtchenko, 34 C. Li, 22 S. Likhoded, 48 C. H. Lin, 44 W. T. Lin, 44 F. L. Linde, 2 L. Lista, 29 Z. A. Liu, 7 W. Lohmann, 48 E. Longo, 39 Y. S. Lu, 7 C. Luci, 39 L. Luminari, 39 W. Lustermann, 49 W. G. Ma, 22 L. Malgeri, 18 A. Malinin, 28 C. Maña, 25 J. Mans, 37 J. P. Martin, 24 F. Marzano, 39 K. Mazumdar, 9 R. R. McNeil, 6 S. Mele, 29 L. Merola, 29 M. Meschini, 17 W. J. Metzger, 31 A. Mihul, 11 H. Milcent, 18 G. Mirabelli, 39 J. Mnich, 1 G. B. Mohanty, 9 G. S. Muanza, 24 A. J. M. Muijs, 2 M. Musy, 39 S. Nagy, 15 S. Natale, 20 M. Napolitano, 29 F. Nessi Tedaldi, 49 H. Newman, 32 A. Nisati, 39 T. Novak, 31 H. Nowak, 48 R. Ofierzynski, 49 G. Organtini, 39 I. Pal, 46 C. Palomares, 25 P. Paolucci, 29 R. Paramatti, 39 G. Passaleva, 17 S. Patricelli, 29 T. Paul, 10 M. Pauluzzi, 33 C. Paus, 13 F. Pauss, 49 M. Pedace, 39 S. Pensotti, 27 D. Perret Gallix, 4 D. Piccolo, 29 F. Pierella, 8 M. Pieri, 41 M. Pioppi, 33 P. A. Piroué, 37 E. Pistolesi, 27 V. Plyaskin, 28 M. Pohl, 20 V. Pojidaev, 17 J. Pothier, 18 D. Prokofiev, 34 G. Rahal Callot, 49 M. A. Rahaman, 9 P. Raics, 15 N. Raja, 9 R. Ramelli, 49 P. G. Rancoita, 27 R. Ranieri, 17 A. Raspereza, 48 P. Razis, 30 S. Rembeczki, 26 D. Ren, 49 M. Rescigno, 39 S. Reucroft, 10 S. Riemann, 48 K. Riles, 3 B. P. Roe, 3 L. Romero, 25 A. Rosca, 48 C. Rosemann, 1 C. Rosenbleck, 1 S. Rosier Lees, 4 S. Roth, 1 J. A. Rubio, 18 G. Ruggiero, 17 H. Rykaczewski, 49 A. Sakharov, 49 S. Saremi, 6 S. Sarkar, 39 J. Salicio, 18 E. Sanchez, 25 C. Schäfer, 18 V. Schegelsky, 34 H. Schopper, 21 D. J. Schotanus, 31 C. Sciacca, 29 L. Servoli, 33 S. Shevchenko, 32 N. Shivarov, 42 V. Shoutko, 13 E. Shumilov, 28 A. Shvorob, 32 D. Son, 43 C. Souga, 24 P. Spillantini, 17 M. Steuer, 13 D. P. Stickland, 37 B. Stoyanov, 42 A. Straessner, 20 K. Sudhakar, 9 G. Sultanov, 42 L. Z. Sun, 22 S. Sushkov, 1 H. Suter, 49 J. D. Swain, 10 Z. Szillasi, u. X. W. Tang, 7 P. Tarjan, 15 L. Tauscher, 5 L. Taylor, 10 B. Tellili, 24 D. Teyssier, 24 C. Timmermans, 31 S. C. C. Ting, 13 S. M. Ting, 13 S. C. Tonwar, 9 J. Tóth, 12 C. Tully, 37 K. L. Tung, 7 J. Ulbricht, 49 E. Valente, 39 R. T. Van de Walle, 31 R. Vasquez, 46 G. Vesztergombi, 12 I. Vetlitsky, 28 G. Viertel, 49 M. Vivargent, 4 S. Vlachos, 5 I. Vodopianov, 26 H. Vogel, 35 H. Vogt, 48 I. Vorobiev, 28 A. A. Vorobyov, 34 M. Wadhwa, 5 Q. Wang31 X. L. Wang, 22 Z. M. Wang, 22 M. Weber, 18 S. Wynhoff, D. L. Xia, 32 Z. Z. Xu, 22 J. Yamamoto, 3 B. Z. Yang, 22 C. G. Yang, 7 H. J. Yang, 3 M. Yang, 7 S. C. Yeh, 45 A.n. Zalite, 34 Y.u. Zalite, 34 Z. P. Zhang, 22 J. Zhao, 22 G. Y. Zhu, 7 R. Y. Zhu, 32 H. L. Zhuang, 7 A. Zichichi, 8, 18, 19 B. Zimmermann, 49 M. Zöller, G. Abbiendi2, K. Ackerstaff7, C. Ainsley5, P. F. Åkesson7, G. Alexander21, J. Allison15, N. Altekamp5, K. Ametewee25, G. Anagnostou1, K. J. Anderson8, S. Anderson11, S. Asai22, S. F. Ashby1, D. Axen26, G. Azuelos17, A. H. Ball7, I. Bailey25, E. Barberio7, p, T. Barillari31, R. J. Barlow15, R. Bartoldus3, R. J. Batley5, S. Baumann3, P. Bechtle24, J. Bechtluft13, C. Beeston15, T. Behnke24, K. W. Bell19, P. J. Bell1, G. Bella21, A. Bellerive6, G. Benelli4, S. Bentvelsen7, P. Berlich9, S. Bethke31, O. Biebel30, O. Boeriu9, V. Blobel24, I. J. Bloodworth1, J. E. Bloomer1, M. Bobinski9, P. Bock10, H. M. Bosch10, M. Boutemeur30, B. T. 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Cruz, B, Cucciarelli, S, de Asmundis, R, Déglon, P, Debreczeni, J, Degré, A, Dehmelt, K, Deiters, K, della Volpe, D, Delmeire, E, Denes, P, Denotaristefani, F, De Salvo, A, Diemoz, M, Dierckxsens, M, Dionisi, C, Dittmar, M, Doria, A, Dova, M, Duchesneau, D, Duda, M, Echenard, B, Eline, A, El Hage, A, El Mamouni, H, Engler, A, Eppling, F, Extermann, P, Falagan, M, Falciano, S, Favara, A, Fay, J, Fedin, O, Felcini, M, Ferguson, T, Fesefeldt, H, Fiandrini, E, Field, J, Filthaut, F, Fisher, P, Fisher, W, Forconi, G, Freudenreich, K, Furetta, C, Galaktionov, Y, Ganguli, S, Garcia Abia, P, Gataullin, M, Gentile, S, Giagu, S, Gong, Z, Grenier, G, Grimm, O, Gruenewald, M, Gupta, V, Gurtu, A, Gutay, L, Haas, D, Hatzifotiadou, D, Hebbeker, T, Hervé, A, Hirschfelder, J, Hofer, H, Hohlmann, M, Holzner, G, Hou, S, Jin, B, Jindal, P, Jones, L, de Jong, P, Josa Mutuberría, I, Kaur, M, Kim, J, Kirkby, J, Kittel, W, Klimentov, A, König, A, Kopal, M, Koutsenko, V, Kräber, M, Kraemer, R, Krüger, A, 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Ramelli, R, Rancoita, P, Ranieri, R, Raspereza, A, Razis, P, Rembeczki, S, Ren, D, Rescigno, M, Reucroft, S, Riemann, S, Riles, K, Roe, B, Romero, L, Rosca, A, Rosemann, C, Rosenbleck, C, Rosier Lees, S, Roth, S, Rubio, J, Ruggiero, G, Rykaczewski, H, Sakharov, A, Saremi, S, Sarkar, S, Salicio, J, Sanchez, E, Schäfer, C, Schegelsky, V, Schopper, H, Schotanus, D, Sciacca, C, Servoli, L, Shevchenko, S, Shivarov, N, Shoutko, V, Shumilov, E, Shvorob, A, Son, D, Souga, C, Spillantini, P, Steuer, M, Stickland, D, Stoyanov, B, Straessner, A, Sudhakar, K, Sultanov, G, Sun, L, Sushkov, S, Suter, H, Swain, J, Szillasi, Z, Tang, X, Tarjan, P, Tauscher, L, Taylor, L, Tellili, B, Teyssier, D, Timmermans, C, Ting, S, Tonwar, S, Tóth, J, Tully, C, Tung, K, Ulbricht, J, Valente, E, Van de Walle, R, Vasquez, R, Vesztergombi, G, Vetlitsky, I, Viertel, G, Vivargent, M, Vlachos, S, Vodopianov, I, Vogel, H, Vogt, H, Vorobiev, I, Vorobyov, A, Wadhwa, M, Wang, Q, Wang, X, Wang, Z, Weber, M, Wynhoff, S, Xia, L, Xu, Z, Yamamoto, J, Yang, B, Yang, C, Yang, H, Yang, M, Yeh, S, Zalite, A, Zalite, Y, Zhang, Z, Zhao, J, Zhu, G, Zhu, R, Zhuang, H, Zichichi, A, Zimmermann, B, Zöller, M, Abbiendi, G, Ackerstaff, K, Ainsley, C, Åkesson, P, Alexander, G, Allison, J, Altekamp, N, Ametewee, K, Anagnostou, G, Anderson, K, Anderson, S, Arcelli, S, Asai, S, Ashby, S, Axen, D, Azuelos, G, Ball, A, Bailey, I, Barillari, T, Barlow, R, Bartoldus, R, Batley, R, Baumann, S, Bechtle, P, Bechtluft, J, Beeston, C, Behnke, T, Bell, K, Bell, P, Bella, G, Bellerive, A, Benelli, G, Bentvelsen, S, Berlich, P, Bethke, S, Biebel, O, Boeriu, O, Blobel, V, Bloodworth, I, Bloomer, J, Bobinski, M, Bock, P, Bonacorsi, D, Bosch, H, Boutemeur, M, Bouwens, B, Braibant, S, Brigliadori, L, Brown, R, Burckhart, H, Burgard, C, Bürgin, R, Cammin, J, Campana, S, Capiluppi, P, Carnegie, R, Carter, A, Carter, J, Chang, C, Charlton, D, Chrisman, D, Ciocca, C, Null, C, Clay, E, Cohen, I, Conboy, J, Cooke, O, Couchman, J, Couyoumtzelis, C, 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Silva, E, Donkers, M, Doucet, M, Dubbert, J, Duchovni, E, Duckeck, G, Duerdoth, I, Edwards, J, Estabrooks, P, Etzion, E, Evans, H, Evans, M, Fabbri, F, Fanti, M, Fath, P, Feld, L, Ferrari, P, Fiedler, F, Fierro, M, Fischer, H, Fleck, I, Folman, R, Fong, D, Ford, M, Foucher, M, Frey, A, Fürtjes, A, Futyan, D, Gagnon, P, Gary, J, Gascon, J, Gascon Shotkin, S, Gaycken, G, Geddes, N, Geich Gimbel, C, Geralis, T, Giacomelli, G, Giacomelli, P, Giacomelli, R, Gibson, V, Gibson, W, Gingrich, D, Giunta, M, Glenzinski, D, Goldberg, J, Goodrick, M, Gorn, W, Graham, K, Grandi, C, Gross, E, Grunhaus, J, Gruwé, M, Günther, P, Gupta, A, Hajdu, C, Hamann, M, Hanson, G, Hansroul, M, Hapke, M, Harder, K, Harel, A, Hargrove, C, Harin Dirac, M, Hart, P, Hartmann, C, Hauke, A, Hauschild, M, Hawkes, C, Hawkings, R, Hemingway, R, Hensel, C, Herndon, M, Herten, G, Heuer, R, Hildreth, M, Hill, J, Hillier, S, Hilse, T, Hobson, P, Hocker, A, Hoffman, K, Homer, R, Honma, A, Horváth, D, Hossain, K, Howard, R, Hughes Jones, R, Hüntemeyer, P, Igo Kemenes, P, Imrie, D, Ingram, M, Ishii, K, Jacob, F, Jawahery, A, Jeffreys, P, Jeremie, H, Jimack, M, Joly, A, Jones, C, Jones, G, Jones, M, Jost, U, Jovanovic, P, Junk, T, Kanaya, N, Kanzaki, J, Karapetian, G, Karlen, D, Kartvelishvili, V, Kawagoe, K, Kawamoto, T, Keeler, R, Kellogg, R, Kennedy, B, Kim, D, Kirk, J, Klein, K, Klier, A, Kluth, S, Kobayashi, T, Kobel, M, Koetke, D, Kokott, T, Kolrep, M, Komamiya, S, Kowalewski, R, Krämer, T, Krasznahorkay, A, Kress, T, Krieger, P, von Krogh, J, Kuhl, T, Kupper, M, Kyberd, P, Lafferty, G, Lahmann, R, Lai, W, Landsman, H, Lanske, D, Lauber, J, Lautenschlager, S, Lawson, I, Layter, J, Lazic, D, Lee, A, Lefebvre, E, Leins, A, Lellouch, D, Letts, J, Levinson, L, Lewis, C, Liebisch, R, Lillich, J, List, B, List, J, Littlewood, C, Lloyd, A, Lloyd, S, Loebinger, F, Long, G, Losty, M, Lu, J, Ludwig, A, Ludwig, J, Macchiolo, A, Macpherson, A, Mader, W, Mannelli, M, Marcellini, S, Marchant, T, Markus, C, Martin, A, Martinez, G, Mashimo, T, Matthews, W, Mättig, P, Mcdonald, W, Mckenna, J, Mckigney, E, Mcmahon, T, Mcnab, A, Mcpherson, R, Mendez Lorenzo, P, Meijers, F, Menges, W, Menke, S, Merritt, F, Mes, H, Meyer, N, Meyer, J, Michelini, A, Mihara, S, Mikenberg, G, Miller, D, Mir, R, Mohr, W, Montanari, A, Mori, T, Morii, M, Müller, U, Mutter, A, Nagai, K, Nakamura, I, Nanjo, H, Neal, H, Nellen, B, Nijjhar, B, Nisius, R, O'Neale, S, Oakham, F, Odorici, F, Ogren, H, Oh, A, Okpara, A, Oldershaw, N, Omori, T, Oreglia, M, Orito, S, Pahl, C, Pálinkás, J, Pásztor, G, Pater, J, Patrick, G, Patt, J, Pearce, M, Petzold, S, Pfeifenschneider, P, Pilcher, J, Pinfold, J, Plane, D, Poffenberger, P, Polok, J, Poli, B, Pooth, O, Posthaus, A, Przybycien, M, Przysiezniak, H, Quadt, A, Rabbertz, K, Rees, D, Rembser, C, Renkel, P, Rick, H, Rigby, D, Robertson, S, Robins, S, Rodning, N, Roney, J, Rooke, A, Ros, E, Rosati, S, Roscoe, K, Rossi, A, Rosvick, M, Routenburg, P, Rozen, Y, Runge, K, Runolfsson, O, Ruppel, U, Rust, D, Rylko, R, Sachs, K, Saeki, T, Sahr, O, Sarkisyan, E, Sasaki, M, Sbarra, C, Schaile, A, Schaile, O, Scharff Hansen, P, Schenk, P, Schieck, J, Schmitt, S, Schörner Sadenius, T, Schröder, M, Schultz Coulon, H, Schulz, M, Schumacher, M, Schütz, P, Schwick, C, Scott, W, Seuster, R, Shears, T, Shen, B, Shepherd Themistocleous, C, Sherwood, P, Siroli, G, Sittler, A, Skillman, A, Skuja, A, Smith, A, Smith, T, Snow, G, Sobie, R, Söldner Rembold, S, Spagnolo, S, Spano, F, Springer, R, Sproston, M, Stahl, A, Steiert, M, Stephens, K, Steuerer, J, Stockhausen, B, Stoll, K, Strom, D, Ströhmer, R, Strumia, F, Stumpf, L, Surrow, B, Szymanski, P, Tafirout, R, Talbot, S, Tanaka, S, Taras, P, Tarem, S, Taylor, R, Tasevsky, M, Teuscher, R, Thiergen, M, Thomson, M, von Törne, E, Torrence, E, Towers, S, Toya, D, Trefzger, T, Trigger, I, Trócsányi, Z, Tsukamoto, T, Tsur, E, Turcot, A, Turner Watson, M, Ueda, I, Ujvári, B, Utzat, P, Vachon, B, Van Kooten, R, Vannerem, P, Vértesi, R, Verzocchi, M, Vikas, P, Vincter, M, Vokurka, E, Vollmer, C, Voss, H, Vossebeld, J, Wäckerle, F, Wagner, A, Waller, D, Ward, C, Ward, D, Watkins, P, Watson, A, Watson, N, Wells, P, Wengler, T, Wermes, N, Wetterling, D, White, J, Wilkens, B, Wilson, G, Wilson, J, Wotton, S, Wyatt, T, Yamashita, S, Yekutieli, G, Zacek, V, Zer Zion, D, Zivkovic, L, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Physique Corpusculaire et Cosmologie - Collège de France (PCC), Collège de France (CdF (institution))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Département d'Astrophysique, de physique des Particules, de physique Nucléaire et de l'Instrumentation Associée (DAPNIA), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Département de Physique des Particules (ex SPP) (DPhP), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, ALEPH, DELPHI, L3, OPAL, Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Département de Physique des Particules (ex SPP) (DPP), S. Schael, 1 R. Barate, 2 R. Brunelière, 2 D. Buskulic, 2 I. De Boni, 2 D. Decamp, 2 P. Ghez, 2 C. Goy, 2 S. Jézéquel, 2 J.-P. Lee, 2 A. Lucotte, 2 F. Martin, 2 E. Merle, 2 M.-N. Minard, 2 J.-Y. Nief, 2 P. Odier, 2 B. Pietrzyk, 2 B. Trocmé, 2 S. Bravo, 3 M.P. Casado, 3 M. Chmeissani, 3 P. Coma, 3 J.M. Crespo, 3 E. Fernandez, 3 M. Fernandez-Bosman, 3 Ll. Garrido, a15 E. Grauge, 3 A. Juste, 3 M. Martinez, 3 G. Merino, 3 R. Miquel, 3 Ll.M. Mir, 3 S. Orteu, 3 A. Pacheco, 3 I.C. Park, 3 J. Perla, 3 I. Riu, 3 H. Ruiz, 3 F. Sanchez, 3 A. Colaleo, 4 D. Creanza, 4 N. De Filippi, 4 M. de Palma, 4 G. Iaselli, 4 G. Maggi, 4 M. Maggi, 4 S. Nuzzo, 4 A. Ranieri, 4 G. Raso, a24 F. Ruggieri, 4 G. Selvaggi, 4 L. Silvestri, 4 P. Tempesta, 4 A. Tricomi, a3 G. Zito, 4 X. Huang, 5 J. Lin, 5 Q. Ouyang, 5 T. Wang, 5 Y. Xie, 5 R. Xu, 5 S. Xue, 5 J. Zhang, 5 L. Zhang, 5 W. Zhao, 5 D. Abbaneo, 6 A. Bazarko, 6 U. Becker, 6 G. Boix, a33 F. Bird, 6 E. Blucher, 6 B. Bonvicini, 6 P. Bright-Thoma, 6 T. Barklow, a26 O. Buchmüller, a26 M. Cattaneo, 6 F. Cerutti, 6 V. Ciulli, 6 B. Clerbaux, a23 H. Drevermann, 6 R.W. Forty, 6 M. Frank, 6 T.C. Greening, 6 R. Hagelberg, 6 A.W. Halley, 6 F. Gianotti, 6 M. Girone, 6 J.B. Hansen, 6 J. Harvey, 6 R. Jacobsen, 6 D.E. Hutchcroft, a30 P. Janot, 6 B. Jost, 6 J. Knobloch, 6 M. Kado, a2 I. Lehrau, 6 P. Lazeyra, 6 P. Maley, 6 P. Mato, 6 J. May, 6 A. Moutoussi, 6 M. Pepe-Altarelli, 6 F. Ranjard, 6 L. Rolandi, 6 D. Schlatter, 6 B. Schmitt, 6 O. Schneider, 6 W. Tejessy, 6 F. Teubert, 6 I.R. Tomalin, 6 E. Tournefier, 6 R. Veenhof, 6 A. Valassi, 6 W. Wiedenmann, 6 A.E. Wright, 6 Z. Ajaltouni, 7 F. Badaud, 7 G. Chazelle, 7 O. Deschamp, 7 S. Dessagne, 7 A. Falvard, a20 C. Ferdi, 7 D. Fayolle, 7 P. Gay, 7 C. Guicheney, 7 P. Henrard, 7 J. Jousset, 7 B. Michel, 7 S. Monteil, 7 J.C. Montret, 7 D. Pallin, 7 J.M. Pascolo, 7 P. Perret, 7 F. Podlyski, 7 H. Bertelsen, 8 T. Fernley, 8 J.D. Hansen, 8 J.R. Hansen, 8 P.H. Hansen, 8 A.C. Kraan, 8 A. Lindahl, 8 R. Mollerud, 8 B.S. Nilsson, 8 B. Rensch, 8 A. Waananen, 8 G. Daskalaki, 9 A. Kyriaki, 9 C. Markou, 9 E. Simopoulou, 9 I. Sioti, 9 A. Vayaki, 9 K. Zachariadou, 9 A. Blondel, a12 G. Bonneaud, 10 J.-C. Brient, 10 F. Machefert, 10 A. Rougé, 10 M. Rumpf, 10 M. Swynghedauw, 10 R. Tanaka, 10 M. Verderi, 10 H. Videau, 10 V. Ciulli, 11 E. Focardi, 11 G. Parrini, 11 K. Zachariadou, 11 M. Corden, 12 C. Georgiopoulo, 12 A. Antonelli, 13 M. Antonelli, 13 G. Bencivenni, 13 G. Bologna, a34 F. Bossi, 13 P. Campana, 13 G. Capon, 13 F. Cerutti, 13 V. Chiarella, 13 G. Felici, 13 P. Laurelli, 13 G. Mannocchi, a5 G.P. Murta, 13 L. Passalacqua, 13 P. Picchi, 13 P. Colrain, 14 I. ten Have, 14 I.S. Hughe, 14 J. Kennedy, 14 I.G. Knowle, 14 J.G. Lynch, 14 W.T. Morton, 14 P. Negu, 14 V. O’Shea, 14 C. Raine, 14 P. Reeve, 14 J.M. Scarr, 14 K. Smith, 14 A.S. Thompson, 14 R.M. Turnbull, 14 S. Wasserbaech, 15 O. Buchmüller, 16 R. Cavanaugh, a4 S. Dhamotharan, a21 C. Geweniger, 16 P. Hanke, 16 G. Hansper, 16 V. Hepp, 16 E.E. Kluge, 16 A. Putzer, 16 J. Sommer, 16 H. Stenzel, 16 K. Tittel, 16 W. Werner, 16 M. Wunsch, a19 R. Beuselinck, 17 D.M. Binnie, 17 W. Cameron, 17 G. Davie, 17 P.J. Dornan, 17 S. Goodsir, 17 N. Marinelli, 17 E.B Martin, 17 J. Nash, 17 J. Nowell, 17 S.A. Rutherford, 17 J.K. Sedgbeer, 17 J.C. Thompson, a14 R. White, 17 M.D. William, 17 V.M. Ghete, 18 P. Girtler, 18 E. Kneringer, 18 D. Kuhn, 18 G. Rudolph, 18 E. Bouhova-Thacker, 19 C.K. Bowdery, 19 P.G. Buck, 19 D.P. Clarke, 19 G. Elli, 19 A.J. Finch, 19 F. Foster, 19 G. Hughe, 19 R.W.L. Jone, 19 N.R. Keemer, 19 M.R. Pearson, 19 N.A. Robertson, 19 T. Sloan, 19 M. Smizanska, 19 S.W. Snow, 19 M.I. William, 19 O. van der Aa, 20 C. Delaere, a28 G.Leibenguth, a31 V. Lemaitre, a29 L.A.T. Bauerdick, 21 U. Blumenschein, 21 P. van Gemmeren, 21 I. Giehl, 21 F. Hölldorfer, 21 K. Jakob, 21 M. Kasemann, 21 F. Kayser, 21 K. Kleinknecht, 21 A.-S. Müller, 21 G. Quast, 21 B. Renk, 21 E. Rohne, 21 H.-G. Sander, 21 S. Schmeling, 21 H. Wachsmuth, 21 R. 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Michelini2, S. Mihara22, G. Mikenberg23, D.J. Miller14, R. Mir23, ii, W. Mohr9, A. Montanari2, T. Mori22, M. Morii22, jj, U. Müller3, A. Mutter9, K. Nagai12, I. Nakamura22, H. Nanjo22, H.A. Neal32, B. Nellen3, B. Nijjhar15, R. Nisius31, S.W. O’Neale1, F.G. Oakham6, F. Odorici2, H.O. Ogren11, A. Oh7, A. Okpara10, N.J. Oldershaw15, T. Omori22, M.J. Oreglia8, S. Orito22, C. Pahl31, J. Pálinkás29, G. Pásztor4, J.R. Pater15, G.N. Patrick19, J. Patt9, M.J. Pearce1, S. Petzold24, P. Pfeifenschneider13, J.E. Pilcher8, J. Pinfold27, D.E. Plane7, P. Poffenberger25, J. Polok7, B. Poli2, O. Pooth13, A. Posthaus3, M. Przybycien7, H. Przysiezniak27, A. Quadt31, K. Rabbertz7, D.L. Rees1, C. Rembser7, P. Renkel23, H. Rick4, D. Rigby1, S. Robertson25, S.A. Robins12, N. Rodning27, J.M. Roney25, A. Rooke14, E. Ros7, S. Rosati3, K. Roscoe15, A.M. Rossi2, M. Rosvick25, P. Routenburg27, Y. Rozen20, K. Runge9, O. Runolfsson7, U. Ruppel13, D.R. Rust11, R. Rylko25, K. Sachs6, T. Saeki22, O. Sahr30, E.K.G. 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Turner-Watson1, I. Ueda22, B. Ujvári29, P. Utzat10, B. Vachon25, R. Van Kooten11, P. Vannerem9, R. Vértesi29, M. Verzocchi16, P. Vikas17, M. Vincter25, E.H. Vokurka15, C.F. Vollmer30, H. Voss7, J. Vossebeld7, F. Wäckerle9, A. Wagner24, D. Waller6, C.P. Ward5, D.R. Ward5, J.J. Ward14, P.M. Watkins1, A.T. Watson1, N.K. Watson1, P.S. Wells7, T. Wengler7, N. Wermes3, D. Wetterling10 J.S. White25, B. Wilkens9, G.W. Wilson15, J.A. Wilson1, G. Wolf23, S. Wotton5, T.R. Wyatt15, S. Yamashita22, G. Yekutieli23, V. Zacek17, D. Zer-Zion4, L. Zivkovic2, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Physics, Elementary Particle Physics, L3 (IHEF, IoP, FNWI), Delphi (IHEF, IoP, FNWI), Aloisio, Alberto, Alviggi, Mariagrazia, Merola, Leonardo, M., Napolitano, G., Chiefari, DELLA VOLPE, Domenico, C., Sciacca, S., . Patricelli, Canale, Vincenzo, Lista, Luca, Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Heister, A., Schael, S., Barate, R., Bruneliere, R., De Bonis, I., Decamp, D., Goy, C., Jezequel, S., Lees, J. P., Martin, F., Merle, E., Minard, M. N., Pietrzyk, B., Boix, G., Bravo, S., Casado, M. P., Chmeissani, M., Crespo, J. M., Fernandez, E., Fernandez Bosman, M., Garrido, L., Grauges, E., Lopez, J., Martinez, M., Merino, G., Pacheco, A., Paneque, D., Ruiz, H., Colaleo, A., Creanza, D., De Filippis, N., de Palma, M., Iaselli, G., Maggi, G., Maggi, M., Nuzzo, S., Ranieri, A., Raso, G., Ruggieri, F., Selvaggi, G., Silvestris, L., Tempesta, P., Tricomi, A., Zito, G., Huang, X., Lin, J., Ouyang, Q., Wang, T., Xie, I., Xu, R., Xue, S., Zhang, J., Zhang, L., Zhao, W., Abbaneo, D., Azzurri, P., Barklow, T., Buchmuller, O., Cattaneo, M., Cerutti, F., Clerbaux, B., Drevermann, H., Forty, R. W., Frank, M., Gianotti, F., Greening, T. C., Hansen, J. B., Harvey, J., Hutchcroft, D. E., Janot, P., Jost, B., Kado, M., Mato, P., Moutoussi, A., Ranjard, F., Rolandi, L., Schlatter, D., Sguazzoni, G., Tejessy, W., Teubert, F., Valassi, A., Videau, V., Ward, J. J., Badaud, F., Dessagne, S., Falvard, A., Fayolle, D., Gay, P., Jousset, J., Michel, B., Monteil, S., Pallin, D., Pascolo, J. M., Perret, P., Hansen, J. D., Hansen, J. R., Hansen, P. H., Nilsson, B. S., Kyriakis, A., Markou, C., Simopoulou, E., Vayaki, A., Zachariadou, K., Blondel, A., Brient, J. C., Machefert, F., Rouge, A., Swynghedauw, M., Tanaka, R., Videau, H., Ciulli, V., Focardi, E., Parrini, G., Antonelli, A., Antonelli, M., Bencivenni, G., Bossi, F., Capon, G., Chiarella, V., Laurelli, P., Mannocchi, G., Murtas, G. P., Passalacqua, L., Kennedy, J., Lynch, J. G., Negus, P., O'Shea, V., Thompson, A. S., Wasserbaech, S., Cavanaugh, R., Dhamotharan, S., Geweniger, C., Hanke, P., Hepp, V., Kluge, E. E., Leibenguth, G., Putzer, A., Stenzel, H., Tittel, K., Wunsch, M., Beuselinck, R., Cameron, W., Davies, G., Doman, P. J., Girone, M., Hill, R. D., Marinelli, N., Nowell, J., Rutherford, S. A., Sedgbeer, J. K., Thompson, J. C., White, R., Ghete, V. 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M., Sobie, R., Soldner Rembold, S., Spano, F., Stahl, A., Strom, D., Strohmer, R., Tarem, S., Tasevsky, M., Teuscher, R., Thomson, M. A., Torrence, E., Toya, D., Trigger, I., Trocsanyi, Z., Tsur, E., Turner Watson, M. F., Ueda, I., Ujvari, B., Vollmer, C. F., Vannerem, P., Vertesi, R., Verzocchi, M., Voss, H., Vossebeld, J., Ward, C. P., Ward, D. R., Watkins, P. M., Watson, A. T., Watson, N. K., Wells, P. S., Wengler, T., Wermes, N., Wilson, G. W., Wilson, J. A., Wolf, G., Wyatt, T. R., Yamashita, S., Zer Zion, D., Zivkovic, L., Heinemeyer, S., Achard, Pablo, Bourquin, Maurice, Braccini, Saverio, Chamizo Llatas, Maria, Deglon, Patrick, Delmeire, Evelyne, Echenard, Bertrand, Extermann, Pierre, Field, John, Kienzle, Maria-Novella, Natale, Sonia, Pohl, Martin, Straessner, Arno, and UCL - SST/IRMP - Institut de recherche en mathématique et physique
Subjects: Particle physics, Aleph, PARTICLE PHYSICS, LARGE ELECTRON POSITRON COLLIDER, ALEPH, DELPHI, L3, OPAL, Physics and Astronomy (miscellaneous), Electron–positron annihilation, Higgs Boson, LEP, FOS: Physical sciences, electron positron annihilation, ddc:500.2, Space (mathematics), 01 natural sciences, High Energy Physics - Experiment, Standard Model, Nuclear physics, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), Higgs boson, Higgs charged particle, LEP data, 0103 physical sciences, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], ddc:530, 010306 general physics, Engineering (miscellaneous), Boson, Physics, HIGGS BOSON, 010308 nuclear & particles physics, High Energy Physics::Phenomenology, Confidence interval, E+E- COLLISIONS, High Energy Physics - Phenomenology, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], Large Electron–Positron Collider, High Energy Physics::Experiment, physics, Particle Physics - Experiment
Abstract: The four LEP collaborations, ALEPH, DELPHI, L3 and OPAL, have searched for pair-produced charged Higgs bosons in the framework of Two Higgs Doublet Models (2HDMs). The data of the four experiments are statistically combined. The results are interpreted within the 2HDM for Type I and Type II benchmark scenarios. No statistically significant excess has been observed when compared to the Standard Model background prediction, and the combined LEP data exclude large regions of the model parameter space. Charged Higgs bosons with mass below 80 GeV/c^2 (Type II scenario) or 72.5 GeV/c^2 (Type I scenario, for pseudo-scalar masses above 12 GeV/c^2) are excluded at the 95% confidence level., Comment: 17 pages, 8 figures
Published: 2013

49. Search for supersymmetric particles at 130 GeV<root s<140 GeV at LEP

Author: M. Acciarri, A. Adam, O. Adriani, M. AguilarBenitez, S. Ahlen, B. Alpat, J. Alcaraz, G. Alemanni, J. Allaby, G. Alverson, G. Ambrosi, H. Anderhub, V. P. Andreev, T. Angelescu, D. Antreasyan, A. Arefiev, T. Azemoon, T. Aziz, P. Bagnaia, L. Baksay, R. C. Ball, S. Banerjee, K. Banicz, R. Barillere, L. Barone, P. Bartalini, A. Baschirotto, M. Basile, R. Battiston, A. Bay, F. Becattini, U. Becker, F. Behner, J. Berdugo, P. Berges, B. Bertucci, B. L. Betev, M. Biasini, A. Biland, G. M. Bilei, J. J. Blaising, S. C. Blyth, G. J. Bobbink, R. Bock, A. Bohm, B. Borgia, A. Boucham, D. Bourilkov, M. Bourquin, E. Brambilla, J. G. Branson, V. Brigljevic, I. C. Brock, A. Buijs, A. Bujak, J. D. Burger, W. J. Burger, J. Busenitz, A. Buytenhuijs, X. D. Cai, M. Campanelli, M. Capell, G. C. Romeo, M. Caria, G. Carlino, A. M. Cartacci, J. Casaus, G. Castellini, R. Castello, F. Cavallari, N. Cavallo, C. Cecchi, M. Cerrada, F. Cesaroni, M. Chamizo, A. Chan, Y. H. Chang, U. K. Chaturvedi, M. Chemarin, A. Chen, C. Chen, G. Chen, G. M. Chen, H. F. Chen, H. S. Chen, X. Chereau, C. Y. Chien, M. T. Choi, L. Cifarelli, F. Cindolo, C. Civinini, I. Clare, R. Clare, H. O. Cohn, G. Coignet, A. P. Colijn, N. Colino, V. Commichau, S. Costantini, F. Cotorobai, B. delaCruz, T. S. Dai, D. DAlessandro, R. deAsmundis, H. DeBoeck, A. Degre, K. DEiters, P. Denes, F. Denotaristefani, D. DiBitonto, M. Diemoz, D. vanDierendonck, F. DiLodovico, C. Dionisi, M. Dittmar, A. Dominguez, A. Doria, I. Dorne, M. T. Dova, E. Drago, D. Duchesneau, P. Duinker, I. Duran, S. Dutta, S. Easo, Y. Efremenko, H. ElMamouni, A. Engler, F. J. Eppling, F. C. Erne, J. P. Ernenwein, P. Extermann, M. Fabre, R. Faccini, S. Falciano, A. Favara, J. Fay, M. Felcini, T. Ferguson, D. Fernandez, F. Ferroni, H. Fesefeldt, E. Fiandrini, J. H. Field, F. Filthaut, P. H. Fisher, G. Forconi, L. Fredj, K. Freudenreich, Y. Galaktionov, S. N. Ganguli, S. S. Gau, S. Gentile, J. Gerald, N. Gheordanescu, S. Giagu, S. Goldfarb, J. 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Uwer, E. Valente, R. T. VandeWAlle, I. Vetlitsky, G. Viertel, M. Vivargent, R. Volkert, H. Vogel, H. Vogt, I. Vorobiev, A. A. Vorobyov, A. Vorvolakos, M. Wadhwa, W. Wallraff, J. C. Wang, X. L. Wang, Y. F. Wang, Z. M. WAng, A. Weber, F. Wittgenstein, S. X. Wu, S. Wynhoff, J. Xu, Z. Z. Xu, B. Z. Yang, C. G. Yang, X. Y. Yao, J. B. Ye, S. C. Yeh, J. M. You, C. Zaccardelli, A. Zalite, P. Zemp, J. Y. Zeng, Y. Zeng, Z. Zhang, Z. P. Zhang, B. Zhou, G. J. Zhou, Y. Zhou, G. Y. Zhu, R. Y. Zhu, A. Zichichi, ALOISIO, ALBERTO, ALVIGGI, MARIAGRAZIA, CHIEFARI, GIOVANNI, MEROLA, LEONARDO, NAPOLITANO, MARCO, PATRICELLI, SERGIO, SCIACCA, CRISOSTOMO, Acciarri, M., Adam, A., Adriani, O., Aguilarbenitez, M., Ahlen, S., Alpat, B., Alcaraz, J., Alemanni, G., Allaby, J., Aloisio, Alberto, Alverson, G., Alviggi, Mariagrazia, Ambrosi, G., Anderhub, H., Andreev, V. P., Angelescu, T., Antreasyan, D., Arefiev, A., Azemoon, T., Aziz, T., Bagnaia, P., Baksay, L., Ball, R. C., Banerjee, S., Banicz, K., Barillere, R., Barone, L., Bartalini, P., Baschirotto, A., Basile, M., Battiston, R., Bay, A., Becattini, F., Becker, U., Behner, F., Berdugo, J., Berges, P., Bertucci, B., Betev, B. L., Biasini, M., Biland, A., Bilei, G. M., Blaising, J. J., Blyth, S. C., Bobbink, G. J., Bock, R., Bohm, A., Borgia, B., Boucham, A., Bourilkov, D., Bourquin, M., Brambilla, E., Branson, J. G., Brigljevic, V., Brock, I. C., Buijs, A., Bujak, A., Burger, J. D., Burger, W. J., Busenitz, J., Buytenhuijs, A., Cai, X. D., Campanelli, M., Capell, M., Romeo, G. C., Caria, M., Carlino, G., Cartacci, A. M., Casaus, J., Castellini, G., Castello, R., Cavallari, F., Cavallo, N., Cecchi, C., Cerrada, M., Cesaroni, F., Chamizo, M., Chan, A., Chang, Y. H., Chaturvedi, U. K., Chemarin, M., Chen, A., Chen, C., Chen, G., Chen, G. M., Chen, H. F., Chen, H. S., Chereau, X., Chiefari, Giovanni, Chien, C. Y., Choi, M. T., Cifarelli, L., Cindolo, F., Civinini, C., Clare, I., Clare, R., Cohn, H. 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J., Hangarter, K., Hartmann, B., Hasan, A., J. T., He, Hebbeker, T., Herve, A., Vanhoek, W. C., Hofer, H., Hoorani, H., Hou, S. R., Hu, G., Ilyas, M. M., Innocente, V., Janssen, H., Jin, B. N., Jones, L. W., Dejong, P., Josamutuberria, I., Kasser, A., Khan, R. A., Kamyshkov, Y., Kapinos, P., Kapustinsky, J. S., Karyotakis, Y., Kaur, M., Kienzlefocacci, M. N., Kim, D., Kim, J. K., Kim, S. C., Kim, Y. G., Kinnison, W. W., Kirkby, A., Kirkby, D., Kirkby, J., Kittel, W., Klimentov, A., Konig, A. C., Kongeter, A., Korolko, I., Koutsenko, V., Koulbardis, A., Kraemer, R. W., Kramer, T., Krenz, W., Kuijten, H., Kunin, A., Deguevara, P. L., Landi, G., Lapoint, C., Lassilaperini, K., Lebeau, M., Lebedev, A., Lebrun, P., Lecomte, P., Lecoq, P., Lecoultre, P., Lee, J. S., Lee, K. Y., Legoff, J. M., Leiste, R., Lenti, M., Leonardi, E., Levtchenko, P., Li, C., Lieb, E., Lin, W. T., Linde, F. L., Lindemann, B., Lista, L., Liu, Z. A., Lohmann, W., Longo, E., Lu, W., Y. S., Lu, Lubelsmeyer, K., Luci, C., Luckey, D., Ludovici, L., Luminari, L., Lustermann, W., W. G., Ma, Macchiolo, A., Maity, M., Majumder, G., Malgeri, L., Malinin, A., Mana, C., Mangla, S., Marchesini, P., Marin, A., Martin, J. P., Marzano, F., G. G. G., Mazumdar, K., Mcnally, D., Mcneil, R. R., Mele, S., Merola, Leonardo, Meschini, M., Metzger, W. J., Vondermey, M., Mi, Y., Mihul, A., A. J. W., Mirabelli, G., Mnich, J., Moller, M., Monteleoni, B., Moore, R., Morganti, S., Mount, R., Muller, S., Mulheim, F., Nagy, E., Nahn, S., Napolitano, Marco, Nessitedaldi, F., Newman, H., Nippe, A., Nowak, H., Organtini, G., Ostonen, R., Pandoulas, D., Paoletti, S., Paolucci, P., Park, H. K., Pascale, G., Passaleva, G., Patricelli, Sergio, Paul, T., Pauluzzi, M., Paus, C., Pauss, F., Peach, D., Pei, Y. J., Pensotti, S., Perretgallix, D., Petrak, S., Pevsner, A., Piccolo, D., Pieri, M., Pinto, J. C., Piroue, P. 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P., Sticozzi, F., Stone, H., Stoyanov, B., Straessner, A., Strauch, K., Sudhakar, K., Sultanov, G., Sun, L. Z., Susinno, G. F., Suter, H., Swain, J. D., Tang, X. W., Tauscher, L., Taylor, L., S. C. C., Ting, S. M., Toker, O., Tonisch, F., Tonutti, M., Tonwar, S. C., Toth, J., Tsaregorodtsev, A., Tully, C., Tuchscherer, H., Tung, K. L., Ulbricht, J., Uwer, U., Valente, E., Vandewalle, R. T., Vetlitsky, I., Viertel, G., Vivargent, M., Volkert, R., Vogel, H., Vogt, H., Vorobiev, I., Vorobyov, A. A., Vorvolakos, A., Wadhwa, M., Wallraff, W., Wang, J. C., Wang, X. L., Wang, Y. F., Wang, Z. M., Weber, A., Wittgenstein, F., S. X., Wu, Wynhoff, S., Xu, J., Z. Z., Xu, Yang, B. Z., Yang, C. G., Yao, X. Y., J. B., Ye, Yeh, S. C., You, J. M., Zaccardelli, C., Zalite, A., Zemp, P., Zeng, J. Y., Zeng, Y., Zhang, Z., Zhang, Z. P., Zhou, B., Zhou, G. J., Zhou, Y., Zhu, G. Y., Zhu, R. Y., and Zichichi, A.
Subjects: E+E-PHYSICS, LUND MONTE-CARLO, SUPERGRAVITY, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), JET FRAGMENTATION, DECAYS
Abstract: A search for supersymmetric particles (charginos, neutralinos, sleptons and stop quarks) has been performed with data collected by the L3 detector during the November 1995 run of the LEP collider at centre of mass energies between 130 and 140 GeV with a total integrated luminosity of 5.1 pb(-1). We observe no signal for supersymmetric particles and we set improved exclusion limits on their production cross sections and masses.
Published: 1996

50. RNAi Technology

Author: R. K. Gaur, Yedidya Gafni, P. Sharma, V. K. Gupta, R. K. Gaur, Yedidya Gafni, P. Sharma, and V. K. Gupta
Subjects: RNA interference, Biomedical engineering, Small interfering RNA, Gene silencing
Abstract: RNAi technology is used for large-scale screens that systematically shut down each gene in the cell, which can help identify the components necessary for a particular cellular process or an event such as cell division. Exploitation of the pathway is also a promising tool in biotechnology and medicine. Introducing new technology in the study of RNA
Published: 2011

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