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59 results on '"Singh, Vinay"'

1. Neokamalomyces indicus gen. nov., sp. nov. (Mycosphaerellaceae)—a Septoria-like genus from India

Author: Yadav, Sanjay, Verma, Sanjeet Kumar, Singh, Raghvendra, Singh, Vinay Kumar, Chaurasia, Balmukund, Singh, Paras Nath, and Kumar, Shambhu
Subjects: Ascomycota, Cladosporiaceae, Dothideomycetes, Fungi, Biodiversity, Plant Science, Capnodiales, Ecology, Evolution, Behavior and Systematics, Taxonomy
Abstract: A new hyaline coelomycetous fungus discovered on living leaves of Ficus benghalensis (Moraceae) is described and illustrated. Morphologically, it is similar to Septoria or septoria-like genus, but based on cultural characteristics and multigene (LSU-RPB2-ITS) phylogenetic analysis this strain represents an additional lineage in Mycosphaerellaceae. Hence, a new genus and species, Neokamalomyces indicus is proposed.
Published: 2022
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2. IS TOXOPLASMA A DIFFERENTIAL IN SUPERFICIAL LYMPH NODE ASPIRATES SHOWING GRANULOMATOUS PATHOLOGY?

Author: Khati Shikha, Jaiswal Riddhi, Venkatesh Vimla, Tripathi Piyush, Singh Vinay Prakash, and Srivastava Anand
Abstract: Background: Peripheral lymphadenopathy is frequently due to a local or systemic, benign, self-limited, infectious disease or malignancy. Cervical lymph nodes are involved more often than the other lymphatic regions. In India tuberculosis (TB) is a major benign cause in adults and children. Some studies have been conducted to assess sero prevalence of toxoplasmosis, another infectious disease of signicance. The clinical overlap of spectrum between various diseases like early TB, sarcoidosis and toxoplasmosis has led us to investigate in this grey zone. Methodology: FNAC from enlarged cervical nodes of 100 patients was done. DNA extraction from the aspirate and Antigen –antibody reaction (ELISA) on serum samples was done on 49 patients who showed granulomatous pathology on cytology smears, out of 100 samples collected. Results: There were no IgM antibodies detected in any serum sample. IgG was detected in 7 cases. PCR on the lymph node aspirates did not show any presence of B1 gene of Toxoplasma. We recommend that a differential of Toxoplas Conclusion: ma be kept as a possible diagnosis when Zeihl Neelsen does not detect AFB on the granulomatous lymphadenopathies. Serologic conrmation in all suspected cases of this self-limited condition should be done, for which no treatment is necessary
Published: 2022
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3. Revisiting the Lithium abundance problem in Big-Bang nucleosynthesis

Author: Singh, Vinay, Bhowmick, Debasis, and Basu, D. N.
Subjects: Nuclear Theory (nucl-th), Cosmology and Nongalactic Astrophysics (astro-ph.CO), Nuclear Theory, FOS: Physical sciences, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: One of the three testaments in favor of the big bang theory is the prediction of the primordial elemental abundances in the big-bang nucleosynthesis (BBN). The Standard BBN is a parameter-free theory due to the precise knowledge of the baryon-to-photon ratio of the Universe obtained from studies of the anisotropies of cosmic microwave background radiation. Although the computed abundances of light elements during primordial nucleosynthesis and those determined from observations are in good agreement throughout a range of nine orders of magnitude, there is still a disparity of $^7$Li abundance overestimated by a factor of $\sim 2.5$ when calculated theoretically. The number of light neutrino flavors, the neutron lifetime and the baryon-to-photon ratio in addition to the astrophysical nuclear reaction rates determine the primordial abundances. We previously looked into the impact of updating baryon-to-photon ratio and neutron lifetime and changing quite a few reaction rates on the yields of light element abundances in BBN. In this work, calculations are performed using new reaction rates for $^3$H(p,$\gamma$)$^4$He, $^6$Li(p,$\gamma$)$^7$Be, $^7$Be(p,$\gamma$)$^8$B, $^{13}$N(p,$\gamma$)$^{14}$O, $^7$Li(n,$\gamma$)$^8$Li and $^{11}$B(n,$\gamma$)$^{12}$B along with the latest measured value of neutron lifetime. We observe from theoretical calculations that these changes result in marginal improvement over a sizable twelve percent reduction in the abundance of $^7$Li achieved earlier., Comment: 6 pages including 1 table. arXiv admin note: text overlap with arXiv:1708.05567
Published: 2023

4. Population of House Sparrow Passer domesticus (Linnaeus, 1758) in Three Different Habitats of the Tarai Arc in Kumaun Region, Uttarakhand, India

Author: Singh Vinay, Bisht Satpal Singh, Rajwar Neha, and Pandey Neelaxi
Subjects: General Medicine
Abstract: The present study was carried out to determine the population of House Sparrow in three different habitats of the tarai arc in Kumaun region, Uttarakhand for a period of one year. The monthly field visits were carried out from August 2018 to July 2019 at different locations of three habitats viz. agricultural area, urban area and forest area. The findings of the present survey revealed that the agricultural areas enjoy highest number of individuals and relative abundance (525, 56.21%) followed by urban area (316, 33.83%) and least in forest area (93, 9.95%), respectively. In terms of seasonal variations, the maximum individuals were observed during winter season (November to February, 63%) followed by summer season (March to June, 29%) and lowest in rainy season (July to October, 8%). The study also indicated a significant difference between the numbers of House Sparrow observed among the three different habitats. While comparing the number of House Sparrow during the investigation in three habitats it was observed that number of species were less in forest habitat whereas the highest numbers were recorded in and around agricultural areas which could be due to availability of reasonable nesting sites in traditional dwellings of farmers and availability of food.
Published: 2022
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5. Measurement of the Compressive Strength of Concrete Using Modeling of Deep Hybrid Forest Regression

Author: Rajprasad, J., Priya Rachel, P., Arulselvan, S., Arul, D., Ramesh Kumar, G., Pallavi, H. J., Sivaraja, M., Singh, Vinay Kumar, and Gebreamlak, Getachew
Abstract: The paper proposes a deep hybrid forest regression-based modeling method for measuring the compressive strength (CS) of concrete. Then, the reduced feature vector is used as input to train multiple subforest models (SFM), the predicted values are selected from multiple subforests via the KNN (K-nearest neighbor) method to combine them to obtain the layer regression vector (LRV), and it is combined with the reduced feature vector to obtain the improved LRV, then the output of this layer is taken; second, the regression vector (RV) of the input layer enhancement layer is used as input to obtain the output of the second layer FM, and the steps are repeated until the output of the input layer FM is complete. Finally, the output of the FM of the first layer is obtained. Several SFMs are trained and the result is obtained. The final prognosis is obtained by arithmetically averaging the forecast results of the SFMs of this layer.
Published: 2023
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6. Additional file 1 of Phase 2 randomised placebo-controlled trial of spironolactone and dexamethasone versus dexamethasone in COVID-19 hospitalised patients in Delhi

Author: Wadhwa, Bharti, Malhotra, Vikas, Kerai, Sukhyanti, Husain, Farah, Pandey, Nalini Bala, Saxena, Kirti N., Singh, Vinay, Quinn, Tom M., Li, Feng, Gaughan, Erin, Shankar-Hari, Manu, Mills, Bethany, Antonelli, Jean, Bruce, Annya, Finlayson, Keith, Moore, Anne, Dhaliwal, Kevin, and Edwards, Christopher
Abstract: Additional file 1: Supplementary information. Table S1. Further information on patients withdrawn from the trial due to worsening COVID19/ escalation to WHO Scale >4. Table S2. Summary of adverse events recorded for both groups. Figure S1. Kaplan Meier plot to show risk of patient escalating to WHO OS >4. Figure S2. Additional clinical biomarkers.
Published: 2023
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7. Neokamalomyces Sanjay & Raghv. Singh 2022, gen. nov

Author: Yadav, Sanjay, Verma, Sanjeet Kumar, Singh, Raghvendra, Singh, Vinay Kumar, Chaurasia, Balmukund, Singh, Paras Nath, and Kumar, Shambhu
Subjects: Ascomycota, Cladosporiaceae, Dothideomycetes, Fungi, Neokamalomyces, Biodiversity, Capnodiales, Taxonomy
Abstract: Neokamalomyces Sanjay & Raghv. Singh, gen. nov. MycoBank: MB 843767 Type species:— Neokamalomyces indicus Sanjay & Raghv. Singh. Diagnosis:— Differs from Parapallidocercospora by its very well developed pycnidial conidiomata with a central ostiolum, and hyaline conidiogenous cells lining the inner cavity. Etymology:— Prefix ‘ Neo ’ meaning new and genus suffix ‘ kamalomyces ’ based on the living legend Professor Kamal (DDU Gorakhpur University, Gorakhpur, India), a renowned mycologist and monographer of Cercosporoid Fungi of India. Conidiomata pycnidial, brown to dark brown, subepidermal, epigenous, numerous in each lesion, immersed to erumpent, subglobose to globose, with a central ostiolum, releasing a hyaline conidial mass; outer cells with brown, somewhat thickened walls, inner cells hyaline, thin-walled. Ostiole single, circular, central. Conidiophores reduced to conidiogenous cells lining the inner cavity. Conidiogenous cells hyaline, tightly aggregated, cylindrical and tapering gradually toward the apex, ampulliform or lageniform with a relatively long neck, holoblastic, proliferating sympodially, smooth; scars unthickened. Conidia cylindrical, weakly to strongly curved, or flexuous, gradually attenuated to a rounded apex, gradually or more abruptly attenuated into a broadly truncate base, septate, not or indistinctly constricted around the septa, hyaline to light olivaceous, hila unthickened to slightly thickened. Sexual morph not seen., Published as part of Yadav, Sanjay, Verma, Sanjeet Kumar, Singh, Raghvendra, Singh, Vinay Kumar, Chaurasia, Balmukund, Singh, Paras Nath & Kumar, Shambhu, 2022, Neokamalomyces indicus gen. nov., sp. nov. (Mycosphaerellaceae) - a Septoria-like genus from India, pp. 141-168 in Phytotaxa 571 (2) on page 156, DOI: 10.11646/phytotaxa.571.2.3, http://zenodo.org/record/7284306
Published: 2022
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8. Neokamalomyces indicus Sanjay & Raghv. Singh 2022, sp. nov

Author: Yadav, Sanjay, Verma, Sanjeet Kumar, Singh, Raghvendra, Singh, Vinay Kumar, Chaurasia, Balmukund, Singh, Paras Nath, and Kumar, Shambhu
Subjects: Ascomycota, Cladosporiaceae, Dothideomycetes, Fungi, Neokamalomyces, Biodiversity, Capnodiales, Taxonomy, Neokamalomyces indicus
Abstract: Neokamalomyces indicus Sanjay & Raghv. Singh, sp. nov. Figs 2–5 MycoBank: MB 843768 Type:— INDIA. Uttarakhand: Haridwar, Har Ki Pauri, 29.9567°N 78.1710°E, July 2019, coll. Sanjay Yadav, on living leaves of Ficus benghalensis L. (Moraceae), AMH 10233 (holotype), MH-BHU 13 (isotype), NFCCI 4870 (ex-type living culture). Diagnosis:— Differs from Parapallidocercospora colombiensis by its conidiomata pycnidial type, with conidiogenous cells developing from inner lining of conidiomatal wall. Etymology:— indicus, referring to India, the country where the fungus was discovered. Leaf spots numerous, amphigenous, circular to subcircular, brown, with dark brown border with greyish white centre (with many blackish dots of conidiomata), 5–10 mm diam., later becoming irregular and covering entire leaf surface. Conidiomata pycnidial, brown to dark brown, subepidermal, epigenous, visible on upper sides of the leaf, several in each lesion, immersed to erumpent, subglobose to globose, 50–180 µm diam., with a central ostiolum, releasing a hyaline conidial mass; conidiomatal wall without distinctly differentiated layers of textura angularis, outer cells with brown, somewhat thickened walls, inner cells hyaline, thin-walled. Ostiole single, circular, central. Conidiophores reduced to conidiogenous cells, lining the inner cavity. Conidiogenous cells hyaline, tightly aggregated, cylindrical and tapering gradually toward the apex, ampulliform or lageniform with a relatively long neck, holoblastic, proliferating sympodially, smooth, percurrent proliferations not observed, 8–12(–16) × 3–7 μm, scars unthickened. Conidia cylindrical, weakly to strongly curved, or flexuous, gradually attenuated to a rounded apex, gradually or more abruptly attenuated into a broadly truncate base, 0–4-septate, not or indistinctly constricted around the septa, hyaline to light olivaceous, (10–)23–36(–50) × (1.5–)2–4(–5) μm, hila unthickened to slightly thickened. Sexual morph not seen. Culture characteristics:— Colonies on PDA restricted and erumpent, surface folded, cerebriform to irregularly pustulate, mostly covered by a dense woolly floccose mat of smoke grey aerial mycelium, dark blackish green, reverse fuscous-black, with an irregular margin, reaching 8 mm diam. after 28 days at 25 °C with an even to slightly ruffled and glabrous margin. Only sterile mycelium was found without development of any kind of fruiting body or spores., Published as part of Yadav, Sanjay, Verma, Sanjeet Kumar, Singh, Raghvendra, Singh, Vinay Kumar, Chaurasia, Balmukund, Singh, Paras Nath & Kumar, Shambhu, 2022, Neokamalomyces indicus gen. nov., sp. nov. (Mycosphaerellaceae) - a Septoria-like genus from India, pp. 141-168 in Phytotaxa 571 (2) on page 156, DOI: 10.11646/phytotaxa.571.2.3, http://zenodo.org/record/7284306
Published: 2022
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9. Neokamalomyces indicus Sanjay & Raghv. Singh 2022, sp. nov

Author: Yadav, Sanjay, Verma, Sanjeet Kumar, Singh, Raghvendra, Singh, Vinay Kumar, Chaurasia, Balmukund, Singh, Paras Nath, and Kumar, Shambhu
Subjects: Ascomycota, Cladosporiaceae, Dothideomycetes, Fungi, Neokamalomyces, Biodiversity, Capnodiales, Taxonomy, Neokamalomyces indicus
Abstract: Neokamalomyces indicus Sanjay & Raghv. Singh, sp. nov. Figs 2–5 MycoBank: MB 843768 Type:— INDIA. Uttarakhand: Haridwar, Har Ki Pauri, 29.9567°N 78.1710°E, July 2019, coll. Sanjay Yadav, on living leaves of Ficus benghalensis L. (Moraceae), AMH 10233 (holotype), MH-BHU 13 (isotype), NFCCI 4870 (ex-type living culture). Diagnosis:— Differs from Parapallidocercospora colombiensis by its conidiomata pycnidial type, with conidiogenous cells developing from inner lining of conidiomatal wall. Etymology:— indicus, referring to India, the country where the fungus was discovered. Leaf spots numerous, amphigenous, circular to subcircular, brown, with dark brown border with greyish white centre (with many blackish dots of conidiomata), 5–10 mm diam., later becoming irregular and covering entire leaf surface. Conidiomata pycnidial, brown to dark brown, subepidermal, epigenous, visible on upper sides of the leaf, several in each lesion, immersed to erumpent, subglobose to globose, 50–180 µm diam., with a central ostiolum, releasing a hyaline conidial mass; conidiomatal wall without distinctly differentiated layers of textura angularis, outer cells with brown, somewhat thickened walls, inner cells hyaline, thin-walled. Ostiole single, circular, central. Conidiophores reduced to conidiogenous cells, lining the inner cavity. Conidiogenous cells hyaline, tightly aggregated, cylindrical and tapering gradually toward the apex, ampulliform or lageniform with a relatively long neck, holoblastic, proliferating sympodially, smooth, percurrent proliferations not observed, 8–12(–16) × 3–7 μm, scars unthickened. Conidia cylindrical, weakly to strongly curved, or flexuous, gradually attenuated to a rounded apex, gradually or more abruptly attenuated into a broadly truncate base, 0–4-septate, not or indistinctly constricted around the septa, hyaline to light olivaceous, (10–)23–36(–50) × (1.5–)2–4(–5) μm, hila unthickened to slightly thickened. Sexual morph not seen. Culture characteristics:— Colonies on PDA restricted and erumpent, surface folded, cerebriform to irregularly pustulate, mostly covered by a dense woolly floccose mat of smoke grey aerial mycelium, dark blackish green, reverse fuscous-black, with an irregular margin, reaching 8 mm diam. after 28 days at 25 °C with an even to slightly ruffled and glabrous margin. Only sterile mycelium was found without development of any kind of fruiting body or spores.
Published: 2022
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10. SiO2-POCl2 Nano-Particles Promoted the Synthesis of Novel Structure of Alkyl 2-oxo-3,4-diaryloxazolidine-5-carboxylate Derivatives

Author: V. Mathew Thomas, Ghashang Majid, K. Tiwari Anjani, Vasumathi D., Javed Awan Ramsha, Iqbal Sarosh, Jalal Roudbaraki Seyyed, Pathak Kamla, Guillermo Bracamonte A., Abaszadeh Mehdi, Mukhtar Asma, Kumar Pahuja Sharvan, Urquiza Mauricio, Faheem Mohd., G. Moloney Mark, Mora Felipe, Diaz-Sana Erika, Yarahmadi Hossein, Philip Anil, Kanchana U. S., Kriplani Priyanka, Veer Karan, Siva Kumar A.P., K. Singh Vinay, Anilkumar Gopinathan, Rasheed Hina, Elizabeth J. Diana, Javed Awan Rabiya, Guevara Valentina, Sharma Pooja, and Venkateswarlu Naik Midde
Subjects: chemistry.chemical_classification, chemistry.chemical_compound, chemistry, Organic Chemistry, Polymer chemistry, Nanoparticle, Carboxylate, Biochemistry, Alkyl
Abstract: Silica-POCl2 was used as the promoter for the three-component reaction of ethyl/methyl 3-phenyl glycidate, aniline derivatives, and dimethyl carbonate, leads to the synthesis of methyl/ethyl 2-oxo-4-phenyl-3-aryloxazolidine-5-carboxylate derivatives. The desired product was obtained in high yields.
Published: 2021
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11. The Role of αvβ6 Integrin Binding Molecules in the Diagnosis and Treatment of Cancer

Author: Zhang Weijie, Khan Fazlurrahman, Dwivedi D.K., Luo Amiao, Chandra Mishra Adarsh, Agarwal Shikha, Vasumathi D., Guevara Valentina, Ma Jianzhong, K. Tiwari Anjani, Prajapat Prakash, M. Khorasani Zahra, Diaz-Sana Erika, Lohia Pooja, Kumar Singh Ritesh, Pandita Archana, Urquiza Mauricio, Pu Xiuying, Venkateswarlu Naik Midde, R. Ravan Vahid, Kumar Pahuja Sharvan, Siva Kumar A.P., Mora Felipe, Ge Jun, Mulat Mulugeta, Chai Pengdi, Sharma Pooja, K. Singh Vinay, Hejazi Sepideh, Xia Xiaoyu, Faheem Mohd., Veer Karan, Sahiba Nusrat, Teli Pankaj, Li Jianqiang, and Su Hui
Subjects: αvβ6 integrin, Chemistry, Organic Chemistry, medicine, Cancer research, Cancer, Molecule, medicine.disease
Abstract: Peptidic and non-peptidic αvβ6 integrin-binding molecules have been used in the clinic for detection and treatment of tumors expressing αvβ6 integrin, because this protein is expressed in malignant epithelial cells of the oral cavity, pancreas, breast, ovary, colon and stomach carcinomas but it is not expressed in healthy adult tissue except during wound healing and inflammation. This review focuses on the landscape of αvβ6 integrinbinding molecules and their use in cancer treatment and detection, and discusses recent designs for tumor detection, treatment, and immunotherapy. In the last ten years, several reviews abamp;#945;vβ6 integrin-binding molecules and their role in cancer detection and treatment. Firstly, this review describes the role of the αvβ6 integrin in normal tissues, how the expression of this protein is correlated with cancer severity and its role in cancer development. Taking into account the potential of αvβ6 integrin-binding molecules in detection and treatment of specific tumors, special attention is given to several high-affinity αvβ6 integrin-binding peptides used for tumor imaging; particularly, the αvβ6-binding peptide NAVPNLRGDLQVLAQKVART [A20FMDV2], derived from the foot and mouth disease virus. This peptide labeled with either 18F, 111In or with 68Ga has been used for PET imaging of αvβ6 integrin-positive tumors. Moreover, αvβ6 integrin-binding peptides have been used for photoacoustic and fluorescence imaging and could potentially be used in clinical application in cancer diagnosis and intraoperative imaging of αvβ6-integrin positive tumors. Additionally, non-peptidic αvβ6-binding molecules have been designed and used in the clinic for the detection and treatment of αvβ6-expressing tumors. Anti-αvβ6 integrin antibodies are another useful tool for selective identification and treatment of αvβ6 (+) tumors. The utility of these αvβ6 integrin-binding molecules as a tool for tumor detection and treatment is discussed, considering specificity, sensitivity and serum stability. Another use of the αvβ6 integrin-binding peptides is to modify the Ad5 cell tropism for inducing oncolytic activity of αvβ6-integrin positive tumor cells by expressing A20FMDV2 peptide within the fiber knob protein (Ad5NULL-A20). The newly designed oncolytic Ad5NULL-A20 virotherapy is promising for local and systemic targeting of αvβ6-overexpressing cancers. Finally, new evidence has emerged, indicating that chimeric antigen receptor (CAR) containing the αvβ6 integrin- binding peptide on top of CD28+CD3 endodomain displays a potent therapeutic activity in a diverse repertoire of solid tumor models.
Published: 2020
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12. Targeting the HIV-1 Tat and Human Tat Protein Complex through Natural Products: An In silico Docking and Molecular Dynamics Simulation Approach

Author: Vipin Kumar, Ayushi Mishra, Singh, Vinay Kumar, and Singh, Anchal
Subjects: HIV- TAT, human P-TEFb Tat protein complex, TAT-TAR, P-TEFb, anti-HIV effects, plant steroids, antiretroviral therapy, HAART
Abstract: The natural products, Diosgenin, Ginkgolide A and Catharanthine, showed highest binding energy and were stable with Tat protein and TPC in the entire MD simulation run. The binding energy and dissociation constant of Diosgenin, Catharanthine and Ginkgolide A with Tat and TPC were comparable to antiretroviral drugs, Maraviroc and Emtricitabine.
Published: 2022
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13. CONCEPT OF PRAMEHA – AN AYURVEDIC REVIEW

Author: Singh Vinay Kumar, Sawai Rajesh, Lahoti Vijayalaxmi, and Alde Snehal
Published: 2020
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14. Emergence of Supply Chain 4.0 through Ambidexterity and Technology Resilience

Author: Kumar, Sachin and Singh, Vinay
Published: 2022
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15. Radiative neutron capture reaction rates for r-process nucleosynthesis

Author: Singh, Vinay, Lahiri, Joydev, Dey, Malay Kanti, and Basu, D. N.
Subjects: Nuclear Theory (nucl-th), Nuclear Theory, Astrophysics - Solar and Stellar Astrophysics, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, Nuclear Experiment (nucl-ex), Nuclear Experiment, Solar and Stellar Astrophysics (astro-ph.SR)
Abstract: About half of the elements beyond iron are synthesized in stars by rapid-neutron capture process (r-process). The stellar environment provides very high neutron flux in a short time ($\sim$ seconds) which is conducive for the creation of progressively neutron-rich nuclei till the waiting point is reached after which no further neutron capture reactions proceed. At this point such extremely neutron-rich nuclei become stable via $\beta^-$ decay. A detailed understanding of the r-process remains illusive. In the present work, we explore the radiative neutron-capture (n,$\gamma$) cross sections and reaction rates around the r-process peak near mass number eighty. The inherent uncertainties remain large in some cases, particularly in case of neutron-rich nuclei. When the low-energy enhancement exists, it results in significant increase in the reaction rate for neutron-capture., Comment: 12 pages including 21 figures. arXiv admin note: text overlap with arXiv:1907.08054
Published: 2022
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16. In silico identification of Ribonuclease E active site residue involved in RNA substrate binding in mycobacterium smegmatis: towards a therapeutic approach

Author: Lav Kumar Jaiswal, Rakesh, Kumar, Singh, Tanmayee Nayak, Singh, Vinay Kumar, and Ankush Gupta
Published: 2022
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17. Ethnobotanical molluscicides

Author: Chaturvedi, Divya, Soni, Neelam, and Singh, Vinay Kumar
Subjects: Molluscicides, Fasciolosis, QH301-705.5, Ethnobotanical, fungi, Snails, Schistosomiasis, Biology (General)
Abstract: Molluscan are always responsible for human threat direct or indirect ways. A large number of molluscan serve as intermediate host for fasciolosis and schistosomiasis. These both diseases has great outbreak over exploiting the human health and economy. Their prevalence has been increasing worldwide due in large part to programme of water resource development, and poor hygienic conditions. The freshwater gastropods (snails) are the intermediate host for the larval stages of these two trematodes worms where they completed asexual phases of different development stages. Large numbers of treatment are available to tackle the problem of these two neglected tropical disease (NTDs). One of the easiest methods to break the transmission of these diseases is to de-link the intermediate host from helminths life cycle by the use of molluscicides. Currently there is an increased interest to identified the plant and explore their therapeutic potential as a molluscicides. Since the biomolluscicide are the safest, eco-friendly, fast biodegradability and cost effective method for molluscan control as compared to other synthetic counterparts, that are high imported cost, toxicity in non-target biota’s, and developing resistance in molluscan. This review is generally concerned with the efforts being made to concise the resources based on the ethnobotanical molluscicides to control the pest population and provide the data source of new researcher to explore the most promising candidates of nature i.e. plant molluscicides, as they are very effective tool for integrated vector management programme yet harmless to other non-target aquatic biota’s. DOI: http://dx.doi.org/10.5281/zenodo.5515629
Published: 2021

18. Hindrance in heavy-ion fusion for lighter systems of astrophysical interest

Author: Singh, Vinay, Lahiri, Joydev, Chowdhury, Partha Roy, and Basu, D. N.
Subjects: Nuclear Theory (nucl-th), Nuclear Theory, Physics::Plasma Physics, FOS: Physical sciences
Abstract: The hindrance in fusion of heavy-ion reactions crops up in the region of extreme sub-barrier energies. This phenomenon can be effectively analyzed using a simple diffused barrier formula derived assuming a Gaussian distribution of fusion barrier heights. Folding the Gaussian barrier distribution with the classical expression for the fusion cross section for a fixed barrier, the fusion cross section is obtained. The energy dependence of the fusion cross section provides good description to the existing data on sub-barrier heavy-ion fusion for lighter systems of astrophysical interest. Using this simple formula, an analysis has been presented from $^{16}$O + $^{18}$O to $^{12}$C + $^{198}$Pt, all of which were measured down to $, 6 pages including 7 figures and 1 table. arXiv admin note: substantial text overlap with arXiv:1402.5330
Published: 2021

19. Morphology and phylogeny of a new species, Pseudocercospora haldinae (Mycosphaerellaceae) on Haldina cordifolia from India

Author: Yadav, Sanjay, Verma, Sanjeet Kumar, Singh, Vinay Kumar, Singh, Raghvendra, Singh, Archana, and Kumar, Shambhu
Subjects: Mycosphaerellaceae, Ascomycota, Dothideomycetes, Fungi, Biodiversity, Capnodiales, Taxonomy
Abstract: Yadav, Sanjay, Verma, Sanjeet Kumar, Singh, Vinay Kumar, Singh, Raghvendra, Singh, Archana, Kumar, Shambhu (2021): Morphology and phylogeny of a new species, Pseudocercospora haldinae (Mycosphaerellaceae) on Haldina cordifolia from India. Phytotaxa 501 (2): 281-292, DOI: 10.11646/phytotaxa.501.2.3, URL: http://dx.doi.org/10.11646/phytotaxa.501.2.3
Published: 2021

20. Management of mites with homemade neem fruit aqueous extract in capsicum under protected cultivation

Author: Bhullar, Manmeet Brar, Kaur, Paramjit, Kumar, Sanjeev, Sharma, Rakesh Kumar, Kumar, Rajinder, Kumari, Suman, Singh, Vinay, Kaur, Arshdeep, Kaur, Jagdeep, Sharma, Urvi, and Kaur, Jasjinder
Subjects: Biodiversity, Taxonomy
Abstract: Bhullar, Manmeet Brar, Kaur, Paramjit, Kumar, Sanjeev, Sharma, Rakesh Kumar, Kumar, Rajinder, Kumari, Suman, Singh, Vinay, Kaur, Arshdeep, Kaur, Jagdeep, Sharma, Urvi, Kaur, Jasjinder (2021): Management of mites with homemade neem fruit aqueous extract in capsicum under protected cultivation. Persian Journal of Acarology 10 (1): 85-94, DOI: 10.22073/pja.v10i1.61968, URL: https://www.mendeley.com/catalogue/f143dbd7-151b-317f-a54c-e05015597a71/
Published: 2021

21. A neural network based price sensitive recommender model to predict customer choices based on price effect

Author: Chen, Shiuann-Shuoh, Choubey, Bhaskar, Singh, Vinay, and Publica
Subjects: matrix-factorization, deep learning, consumer behaviour, price sensitivities, customer-product interaction
Abstract: The impact of price and price changes should not be ignored while designing algorithms for predicting customer choice. Consumer preferences should be modeled with consideration of price effects. Businesses need to consider for efficient prediction of an individual's purchase behaviour. Personalized recommendation systems have been studied with machine learning algorithms. However, the price-aware personalized recommendation has received little attention. In this paper, we attempt to capture insightful economic results considered in the marketing and economics disciplines by employing modern machine learning architecture for predicting customer choice in a large-scale supermarket context. We extract personalized price sensitivities and examine their importance in consumer behaviour. The employed data collected from a supermarket chain in Germany consists of implicit feedback based on customer-product interactions and the price of every interaction. We propose a two-pathway matrix factorization (2way-MF) model that is price-aware and tries to memorize customer-product interaction's implicit feedback. The proposed models achieve better model performance than standard Matrix Factorization models widely used in the industry. The approach was re-validated with data from supermarket chain in Taiwan. Other industries can adopt the proposed framework of modeling customer's preferences based on price sensitivity. We suggest that further research and analyses could help understand the cross-price elasticities.
Published: 2021

22. MOESM3 of Nurses' and auxiliary nurse midwives' adherence to essential birth practices with peer coaching in Uttar Pradesh, India: a secondary analysis of the BetterBirth trial

Author: Molina, Rose, Neal, Brandon, Bobanski, Lauren, Singh, Vinay, Neville, Bridget, Delaney, Megan, Lipsitz, Stuart, Karlage, Ami, Mrunal Shetye, and Semrau, Katherine
Abstract: Additional file 3: Table S3. 6-month adherence to essential birth practices stratified by birth attendant cadre in 10 facilities in the BetterBirth trial.
Published: 2020
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23. MOESM2 of Nurses' and auxiliary nurse midwives' adherence to essential birth practices with peer coaching in Uttar Pradesh, India: a secondary analysis of the BetterBirth trial

Author: Molina, Rose, Neal, Brandon, Bobanski, Lauren, Singh, Vinay, Neville, Bridget, Delaney, Megan, Lipsitz, Stuart, Karlage, Ami, Mrunal Shetye, and Semrau, Katherine
Abstract: Additional file 2: Table S2. 2-month adherence to essential birth practices stratified by birth attendant cadre in 30 facilities in the BetterBirth trial.
Published: 2020
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24. MOESM5 of Nurses' and auxiliary nurse midwives' adherence to essential birth practices with peer coaching in Uttar Pradesh, India: a secondary analysis of the BetterBirth trial

Author: Molina, Rose, Neal, Brandon, Bobanski, Lauren, Singh, Vinay, Neville, Bridget, Delaney, Megan, Lipsitz, Stuart, Karlage, Ami, Mrunal Shetye, and Semrau, Katherine
Abstract: Additional file 5: Table S5. Average percent adherence to essential birth practices by time point and birth attendant cadre.
Published: 2020
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25. MOESM1 of Nurses' and auxiliary nurse midwives' adherence to essential birth practices with peer coaching in Uttar Pradesh, India: a secondary analysis of the BetterBirth trial

Author: Molina, Rose, Neal, Brandon, Bobanski, Lauren, Singh, Vinay, Neville, Bridget, Delaney, Megan, Lipsitz, Stuart, Karlage, Ami, Mrunal Shetye, and Semrau, Katherine
Abstract: Additional file 1: Table S1. Baseline adherence to essential birth practices stratified by birth attendant cadre in 10 facilities in the BetterBirth trial.
Published: 2020
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26. MOESM4 of Nurses' and auxiliary nurse midwives' adherence to essential birth practices with peer coaching in Uttar Pradesh, India: a secondary analysis of the BetterBirth trial

Author: Molina, Rose, Neal, Brandon, Bobanski, Lauren, Singh, Vinay, Neville, Bridget, Delaney, Megan, Lipsitz, Stuart, Karlage, Ami, Mrunal Shetye, and Semrau, Katherine
Abstract: Additional file 4: Table S4. 12-month adherence to essential birth practices stratified by birth attendant cadre in 30 facilities in the BetterBirth trial.
Published: 2020
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27. Role of ‘agni maintainance’ in prevention of lifestyle disorders

Author: snehalalde, Singh Vinay Kumar, and Rajesh Sawai
Subjects: Harmony (color), Life style, media_common.quotation_subject, Environmental ethics, Simple language, Worry, Psychology, media_common, Westernization
Abstract: In present era, lifestyle disorders are gift of rapid industrialization of environment and increasing westernization of lifestyle. Lifestyle of people has undergone numerous changes , many of them are affecting the body badly and causing the diseases called as life style disorders. In simple language , life style disorders are disorders caused due to faulty life style. According to Ayurveda roga sarvepi mandagni i.e. main reason behind all the diseases is mandagni along with their respective causative factors. The hurry, worry and curry are three gifts of today’s lifestyle which mainly affect the harmony of agni eventually disturb the normal physiology of body and cause many life style diseases. Therefore Agni plays dominant role in manifestation of lifestyle disorders. Aim of the study is to understand the pathophysiology of agni and to enlist various factors affecting agni. But due to industrialization and pollution of surrounding environment, some of these factors are unavoidable. So in today’s fast world maintaining the harmony of agni is the best way of prevention of lifestyle disorder. And also understanding the factors affecting the agni will be helpful in planning the preventive measurements of lifestyle disorders.
Published: 2019
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28. Traditional, nutraceutical and pharmacological approaches of Tamarindus indica (Imli)

Author: Soni, Neelam and Singh, Vinay Kumar
Subjects: Tamarindus indica, QH301-705.5, Phytochemicals, Molluscicidal, food and beverages, Nutraceutical, Biology (General), Ayurveda
Abstract: Plants have provided a source of inspiration of novel drug compounds, as plant derived medicines have made large contributions to human health and well-being. An estimate of 75-90% of rural population of the world still relies on herbs for their healthcare. Ayurveda, supposed to be the oldest medical system in the world, provides potential leads to find active and therapeutically useful compounds from plants. Epidemiological studies have consistently demonstrated that consumption of plant- derived foods rich in bioactive phytochemicals have a protective effect against different aliments related to human health. Tamarindus indica is having numerous reported activities like antidiabetic, hypolipidemic, hepatoprotective, anti-ulcer, anti-inflammatory, analgesic, antivenom, antimicrobial, antihelmintic and molluscicidal properties. In spite of these medicinal values this plant is also consumed by rural people as vegetable. It also use as flavoring agent to impart flavor to various dishes and beverage. The present comprehensive review is therefore an effort to give detailed information about botanical description, phytochemical, traditional, nutraceutical and pharmacological approaches of Tamarindus indica. DOI: http://dx.doi.org/10.5281/zenodo.3344888
Published: 2019
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29. Design and Shape Optimization of Unmanned, Semi-Rigid Airship for Rapid Descent Using Hybrid Genetic Algorithm

Author: Singh, Vinay
Subjects: Pareto optimality, semi-rigid airship, genetic algorithm, hill climbing, rapid descent, optimization
Abstract: Airships provide an eco-friendly and cost-effective means to suit sustained airborne operations. Smaller autonomous airships are highly susceptible to adverse atmospheric conditions owing to their under-actuated, underpowered and bulky size relative to other types of unmanned aerial vehicles (UAVs). To mitigate these limitations, careful considerations of the size and shape must be made at the design stage. This research presents a methodology for obtaining an optimized shape of a semi-rigid airship. Rapid descent of the LTA ship is achieved by means of a moving gondola attached to a rigid keel mounted under the helium envelope from the bow to the mid-section of the hull. The study entails the application of a robust hybrid genetic algorithm (HGA) for the multi-disciplinary design and optimization of an airship capable of rapid descent, with lower drag and optimum surface area. A comprehensive sensitivity analysis was also performed on the basis of algorithmic parameters and atmospheric conditions. With the help of HGA, a semi-rigid airship capable of carrying a payload of 0.25 kg to 1.0 kg and capable of pitching at right angles is conceptually designed. The algorithm is also tested on commercially available vehicles to validate the results. In multi-objective optimization problems (MOOPs), the significance of different objectives is dependent on the user.
Published: 2019
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30. STUDIES ON FRESH WATER BACILLARIOPHYCEAN ALGAE FROM THE TERAI REGION OF NORTHERN UTTAR PRADESH

Author: Digvijay Verma, Kishore, Shyam, Singh, Vinay Kumar, Rinku Bharati, and Seshu Lavania
Published: 2019
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31. An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System

Author: Swami, Sahil, Khandelwal, Ankush, Singh, Vinay, Akhtar, Syed Sarfaraz, and Shrivastava, Manish
Subjects: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)
Abstract: Social media has become one of the main channels for peo- ple to communicate and share their views with the society. We can often detect from these views whether the person is in favor, against or neu- tral towards a given topic. These opinions from social media are very useful for various companies. We present a new dataset that consists of 3545 English-Hindi code-mixed tweets with opinion towards Demoneti- sation that was implemented in India in 2016 which was followed by a large countrywide debate. We present a baseline supervised classification system for stance detection developed using the same dataset that uses various machine learning techniques to achieve an accuracy of 58.7% on 10-fold cross validation., 9 pages, CICling 2018
Published: 2018

32. A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection

Author: Swami, Sahil, Khandelwal, Ankush, Singh, Vinay, Akhtar, Syed Sarfaraz, and Shrivastava, Manish
Subjects: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)
Abstract: Social media platforms like twitter and facebook have be- come two of the largest mediums used by people to express their views to- wards different topics. Generation of such large user data has made NLP tasks like sentiment analysis and opinion mining much more important. Using sarcasm in texts on social media has become a popular trend lately. Using sarcasm reverses the meaning and polarity of what is implied by the text which poses challenge for many NLP tasks. The task of sarcasm detection in text is gaining more and more importance for both commer- cial and security services. We present the first English-Hindi code-mixed dataset of tweets marked for presence of sarcasm and irony where each token is also annotated with a language tag. We present a baseline su- pervised classification system developed using the same dataset which achieves an average F-score of 78.4 after using random forest classifier and performing 10-fold cross validation., 9 pages, CICLing 2018
Published: 2018

33. Evaluation of a call center to assess post-discharge maternal and early neonatal outcomes of facility-based childbirth in Uttar Pradesh, India

Author: Gass, Jonathon D., Semrau, Katherine, Sana, Fatima, Mankar, Anup, Singh, Vinay Pratap, Fisher-Bowman, Jennifer, Neal, Brandon J., Tuller, Danielle E., Kumar, Bharath, Lipsitz, Stuart, Sharma, Narender, Kodkany, Bhala, Kumar, Vishwajeet, Gawande, Atul, and Hirschhorn, Lisa R.
Subjects: Male, Maternal Health, Social Sciences, lcsh:Medicine, Surveys, Labor and Delivery, Sociology, Medicine and Health Sciences, lcsh:Science, Call Centers, Postpartum Period, Obstetrics and Gynecology, Quality Improvement, Patient Discharge, Professions, Research Design, Social Systems, Engineering and Technology, Female, Research Article, Postnatal Care, Death Rates, Equipment, India, Research and Analysis Methods, Population Metrics, Supervisors, Humans, Patient Reported Outcome Measures, Spouses, Communication Equipment, Survey Research, Population Biology, lcsh:R, Infant, Newborn, Parturition, Biology and Life Sciences, Neonates, Reproducibility of Results, Health Surveys, Health Care, People and Places, Birth, Women's Health, Population Groupings, lcsh:Q, Cell Phones, Health Statistics, Morbidity, Developmental Biology, Program Evaluation
Abstract: Background Maternal and neonatal outcomes in the immediate post-delivery period are critical indicators of quality of care. Data on childbirth outcomes in low-income settings usually require home visits, which can be constrained by cost and access. We report on the use of a call center to measure post-discharge outcomes within a multi-site improvement study of facility-based childbirth in Uttar Pradesh, India. Methods Of women delivering at study sites eligible for inclusion, 97.9% (n = 157,689) consented to follow-up. All consenting women delivering at study facilities were eligible to receive a phone call between days eight and 42 post-partum to obtain outcomes for the seven-day period after birth. Women unable to be contacted via phone were visited at home. Outcomes, including maternal and early neonatal mortality and maternal morbidity, were ascertained using a standardized script developed from validated survey questions. Data Quality Assurance (DQA) included accuracy (double coding of calls) and validity (consistency between two calls to the same household). Regression models were used to identify factors associated with inconsistency. Findings Over 23 months, outcomes were obtained by the call center for 98.0% (154,494/157,689) consenting women and their neonates. 87.9% of call center-obtained outcomes were captured by phone call alone and 12.1% required the assistance of a field worker. An additional 1.7% were obtained only by a field worker, 0.3% were lost-to-follow-up, and only 0.1% retracted consent. The call center captured outcomes with a median of 1 call (IQR 1–2). DQA found 98.0% accuracy; data validation demonstrated 93.7% consistency between the first and second call. In a regression model, significant predictors of inconsistency included cases with adverse outcomes (p
Published: 2018

34. Antimicrobial Activity Of Natural Substances

Author: Kondratiuk, T., Beregova, T., Ostapchenko, L., Srivastava, Arun Kumar, Singh, Vinay Kumar, Elbayaa, Rasha Y., Abdelwahab, Ibrahim A., Youssef, Fadia S., Ashour, Mohamed L., Karpiński, Tomasz M., and Adamczak, Artur
Subjects: antimicrobial activity, natural substances
Abstract: CONTENT 1. T. Kondratiuk, T. Beregova, L. Ostapchenko: "Antibacterial and antifungal influence of a melanin producer Pseudonadsoniella brunnea culture fluid" 2. Arun Kumar Srivastava, Vinay Kumar Singh: "Antimicrobial activity of papain" 3. Rasha Y. Elbayaa, Ibrahim A. Abdelwahab: "Continuous research for natural drugs with potential non-resistance antimicrobial activity and reduced adverse effects" 4. Fadia S. Youssef, Mohamed L. Ashour: "Antimicrobial activity of certain secondary metabolites derived from family Scrophulariaceae"
Published: 2017
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35. Improving Adherence to Essential Birth Practices Using the WHO Safe Childbirth Checklist With Peer Coaching: Experience From 60 Public Health Facilities in Uttar Pradesh, India

Author: Marx Delaney, Megan, Maji, Pinki, Kalita, Tapan, Kara, Nabihah, Rana, Darpan, Kumar, Krishan, Masoinneuve, Jenny, Cousens, Simon, Gawande, Atul A, Kumar, Vishwajeet, Kodkany, Bhala, Sharma, Narender, Saurastri, Rajiv, Pratap Singh, Vinay, Hirschhorn, Lisa R, Semrau, Katherine Ea, and Firestone, Rebecca
Subjects: education
Abstract: BACKGROUND: Adherence to evidence-based essential birth practices is critical for improving health outcomes for mothers and newborns. The WHO Safe Childbirth Checklist (SCC) incorporates these practices, which occur during 4 critical pause points: on admission, before pushing (or cesarean delivery), soon after birth, and before discharge. A peer-coaching strategy to support consistent use of the SCC may be an effective approach to increase birth attendants' adherence to these practices. METHODS: We assessed data from 60 public health facilities in Uttar Pradesh, India, that received an 8-month staggered coaching intervention from December 2014 to September 2016 as part of the BetterBirth Trial, which is studying effectiveness of an SCC-centered intervention on maternal and neonatal harm. Nurse coaches recorded birth attendants' adherence to 39 essential birth practices. Practice adherence was calculated for each intervention month. After 2 months of coaching, a subsample of 15 facilities was selected for independent observation when the coach was not present. We compared adherence to the 18 practices recorded by both coaches and independent observers. RESULTS: Coaches observed birth attendants' behavior during 5,971 deliveries. By the final month of the intervention, 35 of 39 essential birth practices had achieved >90% adherence in the presence of a coach, compared with only 7 of 39 practices during the first month. Key behaviors with the greatest improvement included explanation of danger signs, temperature measurement, assessment of fetal heart sounds, initiation of skin-to-skin contact, and breastfeeding. Without a coach present, birth attendants' average adherence to practices and checklist use was 24 percentage points lower than when a coach was present (range: -1% to 62%). CONCLUSION: Implementation of the WHO Safe Childbirth Checklist with coaching improved uptake of and adherence to essential birth practices. Coordination and communication among facility staff, as well as behaviors with an immediate, tangible benefit, showed the greatest improvement. Difficult-to-perform behaviors and those with delayed or theoretical benefits were less likely to be sustained without a coach present. Coaching may be an important component in implementing the Safe Childbirth Checklist at scale.Note: At the time of publication of this article, the results of evaluation of the impact of the BetterBirth intervention were pending publication in another journal. After the impact findings have been published, we will update this article on the effect of the intervention on birth practices with a reference to the impact findings.
Published: 2017

36. Efficacy and Safety of Degludec versus Glargine in Type 2 Diabetes

Author: Marso, Steven P., McGuire, Darren K., Zinman, Bernard, Poulter, Neil R., Emerson, Scott S., Pieber, Thomas R., Pratley, Richard E., Haahr, Poul-Martin, Lange, Martin, Brown-Frandsen, Kirstine, Moses, Alan, Skibsted, Simon, Kvist, Kajsa, Buse, John B., Hansen, Liliana, Rabol, Rasmus, Bethel, Angelyn, de Lemos, James A., Senn, Stephen, Schwamm, Lee, Timmis, Adam, Alshekhlee, Amer, Bach, Richard G., Bertram, Therese M., Chaitman, Bernard R., Cruz-Flores, Salvador, Eckstein, Jane F., Feen, Eliahu S., Fisher, Simon J., Gosselin, Gilbert, Lim, Michael J., Rosenzweig, James L., Sherwin, Robert S., Tobin, Garry S., Vetrovec, George, Ziemer, David C., Daugaard, Gedske, Ozlem, Er, Pollak, Michael, Sengelov, Lisa, Ahn, Yu-Bae, Amod, Aslam, Benroubi, Mariana, Boonyavarakul, Apussanee, Canecki-Varzic, Silvija, Consoli, Agostino, Eliaschewitz, Freddy G., Franek, Edward, Jinnouchi, Hideaki, Khokhlov, Alexander L., Mithal, Ambrish, Philis-Tsimikas, Athena, Ong, Tiong Kiam, Pop, Lavinia, Reyna, Leobardo Sauque, Rodbard, Helena W., Roula, Daoud, Saravanan, Ponnusamy, Sesti, Giorgio, Sorli, Christopher, Sposetti, Georgina, Tinahones-Madueno, Francisco-Jose, Woo, Vincent, Berard, Lori, Caballero Mateos, Irene, Cooper, Alison, DeLuca, Clarisa, Fillary, Julie, Gan, Diyana Gan Abdul Rahman, Goondiwala, Amina, Tapia, Jessica, Busch, Robert, Chaykin, Louis, Hollander, Priscilla, Karounos, Dennis, Lane, Wendy, Lingvay, Ildiko, Odugbesan, A. Ola, Ohlson-Elliott, Theresa, Ovalle, Fernando, Pantalone, Kevin M., Phelps, Spencer, Pop-Busui, Rodica, Robertson, David, Shlesinger, Yshay, Silver, Robert, Warren, Mark, Arrar, Mohammed, Belkheir, Hassani, Benabbas, Youcef, Benferhat, Schahrazed, Benoun, Fatima, Bensalem, Samia, Bourezane, Samia, Elaoufi, Selmane Rafik, Gourine, Mouna, Hadjhabib, Mohamed, Hadjhamou, Fouzia, Hakem, Jamila, Kaouache, Nadjib, Khensal, Sabrina, Kitouni, Yacine, Lakhal, Lamine, Lezzar, Al-Kassem, Meftah, Imane Aicha, Mehenni, Lahouaria, Nouri, Nassim, Oumerzouk, Fatma, Sakouhi, Mounia, Talha, Kheira, Zemri, Zouaouia, Caeiro, Gabriela, Calveyra, Martha, Cluigt, Natalia, Geronazzo, Veronica, Lema, Silvina, Monferran, Pablo Martinez, Oviedo, Alejandra, Pozzi, Jose, Sala, Jorgelina, Schindler, Ana, Sernia, Virginia, Sicer, Maximiliano, Solis, Silvana, Varela, Patricia, Waitman, Jorge, Augusto, Gustavo Akerman, Alves, Breno, Alves, Erica, Barbosa, Luciana, Bona, Renata, Borges, Joao, Bosco, Adriana, Canani, Luis, Castro, Denise, Cavalcante, Lilian, Cechin, Laura, Cercato, Cintia, Chrisman, Carlos, Chrisman, Carolina, Cintra, Rebecca, Costa, Giselle, Fontenele, Ana Paula, Forti, Adriana, Francisco, Beatriz, Franco, Denise, Genestreti, Paulo, Gross, Jorge, Haddad, Ludmila, Halpern, Alfredo, Hissa, Miguel, Leanca, Camila, Leao, Beatriz, Marinho, Ana Elisabeth, Miranda, Isabela, Nunes, Adriano, Palhares, Fabiana, Poco, Christiani, Salles, Joao, Sampaio, Celia, Santomauro Jr., Augusto, Sartori, Carla, Sena, Rita, da Silva, Marina, da Silva, Paula, Siqueira, Katia, Turatti, Luiz, Valenti, Adriana, Vasques, Enio, Vencio, Sergio, Visconti, Guilherme, Belanger, Andre, Chilvers, Martyn, Dumas, Richard, Hurd, Carmen, Lafleche, Francois, Lam, Paul, Martinho, Valdemar, Palardy, Jean, Peterson, Sean, Raff, Errol, Sinnaeve, Linda, Sullivan, David, Baraban, Vedrana, Blaslov, Kristina, Bulum, Tomislav, Varzic, Silvija Canecki, Berkovic, Maja Cigrovski, Balen, Marica Jandric, Kruljac, Ivan, Lesnjakovic, Silvija, Lucijanic, Tomo, Majic, Ana, Rahelic, Dario, Smircic-Duvnjak, Lea, Vrkljan, Milan, Zibar, Karin, Zukanovic, Sidbela, Athanasopoulou, Elpida, Benis, Apostolos, Benroubi, Marian, Diakoumopoulou, Evanthia, Doupis, John, Griva, Theodora, Kazakos, Kyriakos, Kypraios, Nikolaos, Liatis, Stavros, Makrilakis, Konstantinos, Markou, Athina, Pagkalos, Emmanouil, Papanastasiou, Labrini, Piaditis, George, Sampanis, Christos, Siami, Evangelia, Tentolouris, Nikolaos, Tsiama, Vasiliki, Zografou, Ioanna, Adling, Pravishal, Ali, Mazher, Anjana, R. M., Arora, Arpita, Ayyar, Vageesh, Banerjee, Suvro, Bantwal, Ganapathi, Bhagwat, Nikhil, Bhattacharyya, Arpandev, Bhawarlal, Anandakumar, Chakraborty, Rabin, Chatterjee, Sanjay, Chaudhury, Tirthankar, Chowdhury, Subhankar, Damelia, Priyal, Das, Mrinal, Das, Sambit, Desai, Ankush, Devru, Nandani, Farooqui, Khalid, Ganie, Mohd Ashraf, George, Belinda, Ghosh, Debasis, Girithara, Gopalakrishnan, Haribhai, Zinzuwadia, Jain, Nupur, Jassar, Amandeep, Joshi, Ameya, Kale, Dilip, Kale, Shailaja, Kelwade, Jayant, Khatri, Ashok, Kulshreshtha, Bindu, Majumder, Bikas, Manikath, Neeraj, Margekar, Shubhalaxmi, Marwah, Tiven, Mathew, Vivek, Moulick, N. D., Mutha, Abhay, Muthu, Ramuu, Nalawade, Asmitha, Narvencar, Kedareshwar, Pandit, Kaushik, Pangtey, Ghanshyam, Parthasarathy, B., Phatak, Sanjeev, Prakash, Anupam, Prusty, Pitambar, Radhakrishnan, Chandni, Raja, Indu, Ravikumar, Ranjani, Saboo, Banshi, Sachdeva, Isha, Sangeetha, S., Selvam, Kasthuri, Sethi, Bipin, Shah, Asha, Shah, Harshal K., Shah, Priyanshu, Shah, Rushit, Shaikh, Sajid, Shaikh, Shehla, Singh, K. P., Sivagnanam, Nallaperumal, Tandon, Nikhil, Thonangi, Rajesh, Thulaseedharan, N., Toraskar, Kedar, Varthakavi, Premalatha, Yadav, Sameer, Andreozz, Francesco, Arturi, Franco, Baldassarre, Maria Pompea Antonia, Barone, Milena, Bonura, Alice, Bucciarelli, Loredana, Buscemi, Chiara, Buscemi, Silvio, Carnovale, Anna, Caselli, Chiara, Ceci, Gloria, Cimino, Elena, Colella, Alessandra, Crippa, Valentina, Cufone, Sabrina, D'Erasmo, Laura, De Remigis, Alessandra, Di Bartolo, Paolo, Dionisio, Rosa, Disoteo, Olga, Fabietti, Marcella, Febo, Fabrizio, Filetti, Sebastiano, Genovese, Stefano, Ginestra, Federica, Grancini, Valeria, Grieco, Elvira, Magistro, Andrea, Maranghi, Marianna, Monti, Lucilla, Orsi, Emanuela, Pellicano, Francesca, Pergolini, Daniela, Perticone, Francesca, Piatti, PierMarco, Pizzi, Gianluigi, Rondinelli, Maurizio, Rossi, Margherita, Rubino, Mariangela, Setola, Emanuela, Succurro, Elena, Tarquini, Giovanna, Tiseo, Giusy, Tonolo, Giancarlo, Villa, Valentina, Hong, Stefania Vo, Amano, Kazushi, Hachiya, Remi, Hieshima, Kunio, Hirao, Koichi, Hisatake, Tomoko, Honda, Ritsuko, Ihana, Noriko, Inoue, Kaori, Iwamoto, Yasuhiko, Jinnouchi, Tomio, Kajiwara, Keizou, Kawazu, Shoji, Kikuchi, Masatoshi, Kikuchi, Takako, Koike, Yoko, Komatsu, Mitsuhisa, Kumakura, Atsushi, Kurinami, Noboru, Kushiyama, Akifumi, Maeda, Hajime, Matsuda, Toshihisa, Nakamura, Shuji, Nakayama, Koujin, Nishio, Shin-ichi, Onishi, Yukiko, Sato, Nobuyuki, Sato, Yoshihiko, Shirabe, Shinichiro, Sugiyama, Seigo, Suzuki, Tomoko, Tahara, Tazu, Takao, Toshiko, Takei, Masahiro, Takemoto, Ikutaka, Takeshige, Keiko, Tanaka, Kentaro, Taniguchi, Shotaro, Tsujimoto, Tetsuro, Tsukuda, Katsunori, Wakabayashi, Sayaka, Yamazaki, Masanori, Yoshida, Yoko, Yoshimoto, Ayako, Abidin, Imran Zainal, Abdullah, Shahrin Tarmizi Che, Adam, Noor Lita, Ahmad, Madihah, Ahmad, Nik Nur Fatnoon Nik, Amin, Nor Hanim Mohd, Aw, Cheng Yew, Cham, Yee Ling, Chong, Hui Min, Chua, Seng Keong, Fauzi, Sharifah Aisyah Shahabudin Syed Ahmad, Fong, Alan Yean Yip, Ghapar, Abd Kahar Abd, Hanafi, Norliza, Abu Hassan, Muhammad Radzi, Iberahim, Rahimah, Khiew, Ning Zan, Lee, Gary Chin Keong, Lingam, Rakesh, Long, Richard Chay Shien, Mahendran, Kauthaman A., Oon, Yen Yee, Said, Asri, Sothiratnam, Radhakrishna, Sridhar, Ganiga Srinivasiah, Suan, Mohd Azri Mohd, Tan, Sian Kong, Tey, Julian Hock Chuan, Undok, Abdul Wahab, Waid, Anuar, Vijayasingham, Shalini, Voon, Chi Yen, Yew, Kuan Leong, Yong, Lit Sin, Aguilar-Parra, Lilia, Aguirre, Karen, Alvarez-Carrillo, Rebeca, Arechavaleta-Granell, Maria, Baez-Campos, Aurelia, Bayram Llamas, Edmundo Alfredo, Calvo-Vargas, Cesar, Cedano-Limon, Marielena, Beltran Jaramillo, Teresita de Jesus, de Jesus Marin-Lopez, Jose, Ruiz Cornejo, Maria de Jesus, Juarez Cervantes, Maria del Carmen, Estevez de Alba, Isabel, Estrada Garcia, Raul, Estrada, Suellen, Garza-Vergara, Marisol, Gonzalez-Perez, Rosa, Gonzalez-Valencia, Carlos, Guerrero-Reyes, Rosalinda, Haro Ortiz, Jose Alfredo, Hernandez Salazar, Eduardo, Illescas Diaz, Iris, Illescas Diaz, Jesus, Loredo, Imelda, Jimenez-Ramos, Silvia, Larios-Mora, Diana, Lopez Garcia, Maria Elena, Lopez-Serrano, Julieta, Martinez-Nolasco, Bertha, Nunez Marquez, Ricardo, Pacheco Aranda, Elizabeth, Peralta-Cantu, Irving, Perez Chagollan, Ana, Ramirez, Maria, Robledo Duron, Israel, Rodriguez Briones, Ignacio, Rodriguez, Maria, Sauque Reyna, Leobardo, Vazquez-Ceja, Adriana, Vera-Bocanegra, Alejandro, Vidrio Velazquez, Maricela, Contreras Sandoval, Aleida Yael, Bartelik, Karol, Bilska, Aleksandra, Biniszkiewicz, Tomasz, Bogdanski, Pawel, Chamienia, Agnieszka, Cieslak-Puchalska, Anna, Czochra, Wojciech, Gajewski, Bogdan, Gromniak, Elwira, Holda, Ewa, Jaskulska-Gorzelewska, Barbara, Jedynasty, Krystyna, Kloda, Elzbieta, Kmak-Balawender, Beata, Kobielusz-Gembala, Iwona, Konieczny, Marek, Kramarczuk, Elzbieta, Kuleta, Jerzy, Lesniewski, Robert, Lominska, Teresa, Lukaszewicz, Monika, Majewska, Izabella, Mlynarski, Tomasz, Mostowy, Aleksandra, Rybak, Anna, Skrypnik, Damian, Wolny, Malgorzata, Zmuda, Witold, Buduru, Alina Nicoleta, Cif, Adriana, Cozma, Mihaela, Crisan, Carmen, Barbonta, Cristian Gelu, Barbonta, Diana, Mihalcea, Madalina, Mociran, Mihaela, Muresan, Sorina, Popescu, Alexandrina, Pruna, Luchiana, Sandu, Nadia Ramona, Suleac, Oana Andreea, Vincze, Eva Cornelia, Andreeva, Elena, Berns, Svetlana, Barykina, Irina, Bernitcyna, Angela, Bezdenezhnykh, Natalia, Chumachek, Elena, Demarina, Svetlana, Didenko, Anna, Dubinina, Nadezhda, Dzherieva, Irina, Elsukova, Olga, Esenyan, Lev, Filippova, Ekaterina, Gabova, Nadezhda, Garina, Irina, Glikman, Yulia, Glova, Svetlana, Goncharova, Ekaterina, Gorbatova, Elena, Gordeev, Ivan, Grigorian, Inessa, Gromova, Svetlana, Ipatko, Irina, Karaban, Elena, Katushkina, Yulia, Kaygorodtseva, Olga, Kerova, Irina, Khaisheva, Larisa, Khmelnitskiy, Oleg, Khokhlov, Alexander, Khokhlov, Mikhail, Khorolets, Ekaterina, Klyuenkova, Elena, Konovalova, Olga, Korneva, Ksenia, Kosmacheva, Elena, Kunitsyna, Marina, Kupriyanova, Tatiana, Kuznetsova, Natalia, Lantseva, Olga, Ledyaeva, Alla, Lileeva, Elena, Markovich, Alexander, Martirosian, Narine, Maslova, Alisa, Milyukova, Galina, Mokhova, Irina, Nagirniak, Olga, Nastina, Elena, Nedogoda, Sergei, Orlova, Valeriia, Svetlana, Otarova, Ostapenko, Marina, Papaskiri, Nino, Pavlikova, Elena, Peskov, Andrey, Petrik, Galina, Petrov, Alexander, Petunina, Nina, Platonov, Dmitry, Poliakova, Yulia, Potapova, Zhanna, Pribylova, Svetlana, Razumovsky, Igor, Redkin, Alexander, Rodionova, Tatyana, Rudenko, Evgenia, Rykalina, Natalia, Salasyuk, Alla, Semikina, Tatiana, Serebryakova, Inna, Shanina, Larisa, Shmidt, Evgenia, Sinitsina, Olga, Smetanina, Svetlana, Smirnova, Marya, Smirnova, Victoria, Smolentseva, Nadezhda, Sobolev, Alexander, Soldatenkova, Anna, Soldatova, Yulia, Speshilova, Svetlana, Startseva, Olga, Strezhova, Larisa, Strongin, Leonid, Suplotova, Lyudmila, Suvorova, Daria, Tepaeva, Alisa, Trukhina, Liubov, Tyugaeva, Alisa, Vasyutkova, Olga, Vinokurova, Valentina, Yukhno, Elena, Yuzhakova, Natalia, Zagrebelnaya, Olga, Zalevskaya, Alsu, Zhukova, Elena, Aomar Millan, Ismael, Beltran Romero, Luis M., Ignacio Fernandez Navarro, Jose, Carlos Ferrer Garcia, Juan, Garcia Blasco, Lourdes, Garcia Garcia, Clara, Garcia Puig, Juan, Girbes Borras, Juan, Inigo Zaera, Pilar, Lopez de la Torre, Mart-n, Martinez Alfaro, Baldomera, Morales Portillo, Cristobal, Romero Sanchez, Paloma, Sebastian Ochoa, Nerea, Serrano Olmedo, Isabel, Tinahones Madueno, Francisco, Torres Jimenez, Rosa, Adeyemo, A. O., Bassa, Ayesha, Bhorat, A., Bhorat, Qasim, Blacking, Laura, Burgess, Lesley, Coetzee, Kathleen, Conradie, Hillet, Cyster, Henry, Distiller, Larry, Ellis, G. C., Gani, Mashra, Gordon, Debra, Govender, Parimala, Govender, Thirumani, Govender, Vimladhevi, Jivan, Daksha, Joffe, Barry, Jooma, Yaseer, Kaplan, Hilton, Komati, Stephanus, Kramer, Brian, Kruger, Sieglinde, Landau, Stanley, Latiff, Gulam, Maritz, L., Matthews, Peter, Middlemost, S. J., Ngcakani, Nomangesi, Nortje, Hennie, Osman, Yasmin, Padayachee, Trevenesan, Podgorski, Gracjan, Potts, Jenny, Pretorius, Catharina, Prozesky, Hans, Snyman, Hans, Tayob, Mohammed, Urbach, Dorothea, van der Merwe, Maryke, Vorajee, Haroon, Wilson, Nadine, Wing, J. R., Lee, Jie Eun, Ahn, Chang Ho, Kim, Nam Hoon, Kim, Sun Hwa, Hwangbo, Yul, Ko, Sun Hye, An, Jee Hyun, Ko, Seung Hyun, Lee, Ji Hyun, Noh, Jung Hyun, Ji, Myeong Jin, Kim, Kyeong Jin, Jung, Chan-Hyeon, Kim, DongJun, Kim, Kyongyoung, Kim, Lee-Kyung, Kim, SinGon, Kim, Eun Ky, Lee, Dong-Hwa, Cho, Young Min, Moon, Shin-Je, Oh, Chang-Myung, Hong, A. Ram, Park, Kyeong Seon, Yun, Jae Seung, Hong, Jae Won, Kim, Hee Young, Buranapin, Supawan, Deerochanawong, Chaicharn, Hengjeerajarus, Natavuth, Kosachunhanun, Natapong, Kuanprasert, Srun, Kunavisarut, Tada, Laortanakul, Rungnapa, Mangklabruks, Ampica, Phornphutkul, Mattabhorn, Prasitdamrong, Hutsaya, Snabboon, Thiti, Sriwijitkamol, Apiradee, Suwanwalaikorn, Sompongse, Tantiwong, Puntip, Tejavanija, Sirakarn, Vorasettakarnkit, Yongkasem, Alasabbagh, Samer, Bagais, Christos, Bingley, Polly, Borthwick, Les, Brett, Barbara, Davidson, Sue, Ewing, Jane, Garesse, Robert, Gillani, Syed, Gkastaris, Konstantinos, Herring, Roselle, Illsley, Graham, Johnson, Andrew, Kaplan, Felicity, Lonnen, Kathryn, Malcolm, Ellen, McCrimmon, Rory, Mcknight, John, Nair, Rajiv, Patel, Vinod, Pearson, Ewan, Raghavan, Rajeev, Raj, Suchitra, Russell-Jones, David, Sampson, Mike, Singh, Baldev, Sukamer, Nithya, Turner, Jeremy, Venkataraman, Hema, Viljoen, Adie, Wake, Deborah, Barnes, Cassandra, Boyd, Gary, Childress, Gwen, Coleman, Debora, Combs, Judy, Davis, Leon, Davison, Kentress, DeAtkine, David, Dunaway, Linda, Duncan, Janet, Hibbard, Nina, Martin, Melissa, Nichols, Melissa, Painter, Karolynn, Perkins, Tammy, Quinney, Rosylen, Raymond, Katrina, Roney, Christopher, Sanchez, Gilberto, Sosnowchik, James, Sultan, Farah, Talley, Shellie, Trippe, Bruce, Tuck, Pamela, Vaughan, T., Warriner, Amy, Watts, Tamara, Williams, Hayes, Abidov, Aiden, Abidov, Yulia, Anderson, Corey, Avila, Vanessa, Baraniak, James, Berry, Barbara, Bessette, Lynn, Blackwell, Gina, Burrows, Jennifer, Caldron, Meghan, Chang, Chui-An, Collins, Elizabeth, Crawford, Meli'sa, Delfin, Katherine, De'Loera, Jessie, Dokken, Betsy, Feld, Lawrence, Gill, Ryan, Gordon, James, Gordon, Rachel, Gullick, Nicole, Gutierrez, Diane, Harrison, Larissa, Haught, Annamarie, Hemmila, Karin, Hendrickson, Darell, Horsley, Craig, Hsu, Connie, Jerrell, Maggie, Kertesz, Briana, Khananisho, Paulina, Lenzmeier, Sonia, Lenzmeier, Thomas, Lipschitz, Barbara, Lonquist, Mark, Mather, Dana, (Shelley) Miceli, Michelene, Norris, Gwenth, Padilla, Ann Marie, Petersen, Dena, Riffer, Ernie, Scott, Susan, Sheridan, Kathryn, Smith, Misty, Stump, Craig, Thomson, Stephen, Torok, Ernese, Vesely, Kelly, Vincent, Tom, Wilson, Christy, Wilson, Sandra, Agarwal, Monica, Appleberry, Kady, Barden, M. Gregg, Brickell, Lorrie, Bravo, Eric, Cassis, Cady, Covington, Becky, Devine, De'Andrea, Dishongh, Katherine, Dugger, Joseph, Evans, Lauren, Francis, Spencer, Johnson, David, Koneru, Kalyana, Kurck, Sheryl, Lingisetty, Chandra, Menke, Jennifer, Miller, Beatrice, Montgomery, Cristal, Nimmo, Teresa, Pace, Daniel, Pellegrino, Richard, Rose, Joseph, Straub, Karl, Stubbs, Amanda, Thomas, Leslie, Thrasher, James, Thrasher, Lesa, Wijewardane, Priyantha, Williamson, Kimberly, Acevedo, Lizeth, Ahmad, Aakif, Andresen, Teri, Anderson-Berman, Nancy, Ayele, Etsegenet, Baker, Janice, Banares, Arlene, Barsalou, Thea, Becker, Steven, Benavidez, JoAnn, Benitez, Guadalupe, Bernstein, Richard, Bhasker, Kala, Blain, Arthur, Blustin, Joy, Bughi, Stephanie, Carney, Kimberly, Castro, Gerardo, Catangay, Jennifer, Chambers, Joseph, Chan, Eve, Chang, Amy, Chang, Anna, Chavous Jr., Donald, Chen, Constance, Chiu, Ken, Chochinov, Ronald, Chu, James, Cleghorn, Monica, Cohen-Gadol, Shariar, Cokely, David, Collins, Michelle, Collins, Yolanda, Colomy, Carissa, Cruz-Corona, Yolanda, Cunnea, Virginia, Dailey, George, Dang, Andy, Dang, Trinh, De La Luz, Mabel, Delgadillo, Rico, Delgado, Michael, Desta, Taddese, Doriguzzi, David, Dulgeroff, Anthony, Einhorn, Daniel, Emery, Pamela, Figueroa, Martin, Fink, Raymond, Flowe, Chelsea, Flowers, Francesca, Fregosi, Julie, Garcia, Gabriel, Garcia, Maria, Gaudiani, Linda, Gawad, Michael, Ghattas, Sam, Gilroy, Christine, Gonzalez, Viviana, Gonzalez, Yadira, Guadron-Hernandez, Liliana, Ha, Thu, Haas, Terry, Harbison, Judy, Hernandez, Graciela, Hernandez, Robert, Herrera, Nancy, Ho, Vincent, Hsu, Kang, Humphries, Denise, Huynh, Vincent, Jacobs, Shahram, Jardula, Michael, Jarman, Cheryl, Kabongo, Martin, Kafri, Hassan, Kaplan, Roy, Kim, Grace, Kobayashi, Gary, Korff, Gary, Kowalick, Alexandra, Levin, Ellis, Lewis, Erin, Lisovskiy, Svetlana, Luu, Hieu, Malkhassian, Daniel, Maletz, Louis, Martinez, Geraldine, Martinez, Gilbert, Martinez-Miss, Salomon, McCallum, James, Melikian, George, Metcalf, Francine, Michlin, Bernard, Michlin, Shira, Mitchell, Anitha, Moattari, Ali Reza, Montano-Pereira, Cynthia, Moon, Mia, Naderi, Bahar, Nagata, Jenna, Nguyen, Christopher, Norwood, Paul, Garcia, Sagrario Olmos, Olsen, Sharon, Pardino, Aarika, Parkes, Kathleen, Pascal, Aileen, Patel, Mihir, Paulson, Carolyn, Pernia, Kay, Perez, Marisol, Pham, David, Presant, Larry, Preston, Krista, Reeves, Laurie, Richards, Jessica, Rios-Santiago, Jessica, Risser, Joseph, Rodriguez, Silvia, (Cherrie) Rosal, Rosario, Rosenblit, Paul, Rosero, Raquel, Sadler, Chris, Samoa, Raynald, Sanchez, Liliana, Schaeffer, Cynthia, Schwartz, Alan, Scott, Christopher, Scott, Courtney, Scott, Cranford, Shartel, Jo-Ann, Shaw, Sylvia, Sivalingam, Kanagaratnam, Sligh, Scott, Sligh, Teresa, Smith, Bradley, Soler, Daniel, Spencer, Torre, Stalters, Sophia, Stone, Jenine, Szlachcic, Yaga, Thorsell, Ashley, Tu, Zhongheng, Unger, Jeffrey, Vela, Teresa, Walton, Anita, Whittle, Jessica, Wilson, Lou Ellen, Wing, Zandra, Wright, Philippa, Wyman, Shannan, Yao, Ni, Zlock, Douglas, Baker, Chelsea, Bakkum, Robyn, Bird, C. David, Carangi, Gwen, Cohen, Kenneth, Daza-Taylor, Kristen, Diesburg-Stanwood, Amy, Douglass, Sara, Finck, Lani, Karaboitis, Krisoula, Kerstein, Howard, Lesh, Kurt, Loesch, Ryan, McClure, Lori, Nevarez, Max, Pavol, Bristol, Rasouli, Neda, Rockler, Briana, Sanagorski, Rebecca, Solano, Royce, Underkofler, Chantal, Van Winkle, Rebecca, Weiss, Sarah, White, Katherine, Wirtemburg, Patricia, Zarrabi, Lida, Zemel, Leonard, Barchini, George, Casagni, Kimberely, Cordisco, Marie Elena, Davis, Amanda, Duffy-Hidalgo, Bobbi, Huntley, Richard, McNicol, Donald, Miller, Neil, Mukwaya, Margaret, Northrup, Patricia, Platt, Jonathan, Rabideau, Diane, Randolph, Pamela, Rose, Suzanne, Samuel, James, Savino, Robert, Soufer, Joseph, Torello, Carole, Abinader, Azarel, Agosto, Milagos, Aguirre, Frank, Alexander, Lori, Almanza, Orlando, Alvarez, Dalia, Anees, Muhammad, Aqua, Keith, Arazo, Luz, Asberry, Claudia, Ashley, Alyssa, Balentine, Tracy, Barta, Melissa, Bertot, Ivan, Binns-Leon, Michelle, Borello, Nora, Bostick, Janette, Boucher, Loria, Braddy, Dalton, Breton, Cristian, Broxton, Bridgitte, Burke, Deborah, Cabielles, Tania, Calderon, Juan, Canaan, Yamil, Canelon, Gustavo, Cardona, Jose, Castillo-Gonzalez, Sheila, Castro, Kenia, Chacon, Jessica, Chehade, Joe, Church, Lara, Cohen, Lisa, Crews, Erin, Cromer, Carol, Cromer, Michael, Cuello, Jorge, Cusi, Kenneth, de Leon, Karel, Delgado, Edmund, Delima, Selma, Denson, Janneral, DeVries, Benjamin, Diaz, Maritza, Digon, Beningo, Dowell, Michelle, Dunn, Kelly, Ellington, Dickson, Emerick, George, Encarnacion, Frances, Ezell, Leslie, Fahmie, Ashley, Fernandez, Noel, Figueredo, Rommel, Flores, Patricia, Fonseca, Juan, Freeman, Alain, Freeman, Erica, Frias, Juan, Garcia, Lazaro, Geronilla, Giovanni, Hamilton, Maxine, Hanabergh, Rodolfo, Hanson, Lenita, Harris, Kim, Hasan, Syed, Hendrick, Mary, Hicks, Melissa, Hoffman, Lara, Holt, Antoniwa, Hutchinson, Rachel, Iparraguirre, Harold, Janicka, Ania, Janovitz, Richard, Jones, Dawn, Jones, Sarah, Kaplun, Polina, Kelijman, Mirtha, Kersey, Angela, Khan, Ashraf, Khan, Misal, Kirk, Gregory, Konwai, Ada, Kovar, Meghan, Kutner, Mark, Lafaille, Jimmy, Leach, Dana, Levenson, David, Lewy-Alterbaum, Lorena, Light, Timothy, Lo, Margaret, Loman, Lusiana, Long, Sarah, Love, Jeremy, Madera, Arelis, Magee, James, Mallitz, Michelle, Marquez, Farid, Marshall, Richard, Mary, James, Mateu, Janet, McKenzie, Leanna, McKenzie, Rona, McKenzie, Wilfred, Mendelson, Reina, Mendez, Janet, Merlos, Ledis, Mierau, Jennifer, Miller, Robert, Miranda-Palma, Bresta, Montoya, Carla, Navarro, Eduardo, Neller, Christian, Nossa, Janette, Osborn, Tracey, Patel, Bijal, Penabad, Jesus, Perez, Gilberto, Pineda, Daniel, Pinero-Pilona, Antonio, Platt, George, Prestwood, Elfrida, Quintero, Luis, Rengifo, Rodney, Reyes, Dannier, Rivas, Aolani, Rivero, Mileydis, Robinson, Sonya, Robison, Dawn, Rodriguez, Dalier, Rodriguez, Ivete, Rodriguez, Toni, Rosario, Cristobal, Rosenwasser, Rebecca, Roura, Miguel, Schramm, Erich, Schramm, Rashi, Schweppe, Laurie, Segel, Scott, Sepulveda, Maria, Sheets, Lori, Shields, Karen, Smith, Krystal, Smith, Meridith, Somerstein, Claudia, Solano, Maria, Suarez, Manuel, Suarez, Omar, Suarez, Rogelio, Suarez, Victor, Sultan, Senan, Sutton, David, Szilagyi, Istvan, Thorne, Margaret, Travaglini, Stefano, Trevino, Miguel, Uriarte, Oscar, Vizcaino, Luis, Wadud, Khurram, Wehmeier, Kent, Weinstein, Debra, Welch, Celeste, White, Alexander, White, Basil, Williams, Tammy, Williamson, Cathi, Zwick, Lisa, Adams, Cynthia, Arkin, David, Bode, Bruce, Bonner, Sheila, Bonner, Wes, Bowen, Danielle, Bradley, Brooke, Bradley, Paul, Brennan, Elizaebeth, Brown, Cynthia, Brown, De'Aira, Burgess, Elizabeth, Collett, Taryn, Cook, Jennifer, Corse, Steven, Dukes, Kaitlyn, Durrence, Jenna, Dutton, Robin, Estes, Susie, Falcone, Laura, Gaskin, Katherine, Goswami, Ketan, Hart, Mari, Jester, Donni, Kies, Staci, Leiker, Abigail, Lu, Peter, Mahakala, Aparna, Maher, Maxine, Miller, Alan, Miller, Todd, Munoz, Miguel, Musto, Michele, Odugbesan, Adeniyi, Olson, Darin, Osborn, Nicole, Pace, Kerri, Pajkovic, Gordana, Paulus, Carolyn, Phillips, Lawrence, Reddick, William, Reed, John, Rowe, Shasta, Sadler, Barney, Sapp, Tabby, Savoye, Louise, Shore, David, Shuman, Susan, Sittle, Jessica, Standard, Shana, Wardell, Karla, Workman, Amy, Carreira, Tabitha, Fitz-Patrick, David, Hean, Vutheary, Limcolioc, April, Nihei, Megan, Park, Youngmee, Pau, Cindy, Shannon, Lindsey, Trotter, Alanna, Williams, Sierra, Coughenour, Tiffany, Liljenquist, John, Vance, Carl, Williams, Jonathan, Agaiby, Eva, Agaiby, John, Argo, Kelly, Azad, Nasrin, Backus, Arnetta, Bartlett, Andrew, Bellucci-Jackson, Jennifer, Boncu, Otilia, Brodt, Pamela, Carlson, Hope, Collins, Kathleen, Delibasic, Maja, Dor, Isaac, Dukett, Mary, Emanuele, Nicholas, Gabel, Faith, Giardino, Alexandra, Hoelzer, David, Hsieh, Annming, Jayaramaiah, Poornima, Kearney, Tracy, Kelley, Kathleen, Kravarusic, Jelena, Lawless, Andrea, Maheshwari, Hiralal, Martin, Elonia, McCall, Linda, Mikell, Frank, Nallala, Deepika, Said, Sufyan, Sakla, Nadia, Schiferi, Joanna, Smith, Patricia, Stokes, John, Sugimoto, Danny, Sugimoto, Michael, Swan, Delores, Alfata, Sarab, Beavins, Jill, Bogardus, Christine, Bogardus, Donald, Calvert, Brittany, Calvin, Krystle, Carlton, Kristin, Condit, Jonathan, Cornett, George, Covert, Carissa, Dela Llana, Alexander, Dixon, Rosie, Felker, Dean, Fogle, Sara, Harris, Leslie, Hoebeke, Roberta E., Silva, Ricardo, Johnson, Tabitha, Johnston, Kelly, King, Jennifer, Lang, Amber, Maynard, Kenneth, McDaniel, Vickie, McGrath, Caitlin, Moretto, Thomas, Ndukwu, Ikeadi, O'Connor, Leo, O'Connor, Thomas, Oliver, Tonya, Overmars, Stephanie, Patel, Minesh, Patterson, Geraldine, Powell, Talessa, Raphael, Annmarie, Raphael, Rod, Reedy, Mark, Reyes, Hubert S., Ridge, Terry, Rutherford, Mary S., Sebastian, Mike, Shaeffer, Laura, Sheets, Michelle, Thomas, Karen, Trueblood, Nancy, Tucker, Tiffany, White, Adrian, Wooldridge, Evan, Wright, Alison, Zapinski, Dawn, Cieloha, Megan, Coker, Clarine, Fletcher, Cherisa, Kay, Jennifer, Larsen, Katelyn, Marar, Isam, Motz, Zachary, Paul, Jamie, Pokorski, Alan, Rabadi-Marar, Diana, Scheideler, Kylie, Sobczyk, Jill, Sweeney, Kolbie, Brink, Nathalie, Buth, Dennis, Grimes, Katlyn, Lakin, Gregory, Loewen, Barbara, Secrist, Neal, Simon, William, Steere, Diane, Talbot, Kimberly, Wheeler, Christina, Adams, Derick, Armour, Wilhelmina, Asher, Whitney, Bays, Harold, Behl, Noreen, Conn, Brittany, Dye, Lyndsey, Earl, Jennifer, Farris, Neil, Figueroa, Sergio, Fruit, Olivia, Hobbs, Coury, Howard, Kristen, Jackson, Tamara, Kain, Angela, Karounos, Chrisi, Keiran, Sarah, Kennedy, Ryan, King, Kara, Krishnasamy, Sathya, Lambdin, Winona, Micklewright, Gezina, Mokshagundam, Sri, Mooney, Stephen, Moore, Melanie, Morgan, Denise, Morley, Robert, Newsome, Stacy, Nichols, Jennifer, Nims, Diana, Nockerts, Nichole, Oremus, Ruth, Ritchey, Barbara Michelle, Shelton, Christina, Smith, Danielle, Walker, Debra, Weiter, Kathleen, Whitehead, Rebecca, Wood, Robert, Woodruff, Robin, Young, J. DeShay, Alper, Arnold, Berry, Martha, Gauthier, Nadine, Griffin, Catina, Haynes, Elvia, Lawrence, Jereta, McCormack, Teraina (Terry), Midyett, Catherine, Rangaraj, Uma, Smith, William, Stricker, Makenzie, Tandron, Ileana, Vargas, Ramon, Wagner, Michele, Albert, Marie, Baillargeon, Gail, Stephens, John, Aroda, Vanita, Dempsey, Michael, Junker, Herman, Lopez, Meyling, Shepard, Marc, Ciccarelli, Carol, Datu, Joycelyn, Gallagher-Dorval, Karen, Hartigan, Celia, Kowaloff, Edward, Lock, John-Paul, Rosano, Nina, Shaw, Bernadette, Thompson, Michael, Abbo, Camerin, Anton, Salwan, Baker, Lydia, Bhan, Arti, Blackmer, Karla, Boley, Bryon, Hyde, Desirae, Bonema, John, Carlin, Tamara, Curran, Nancy, Dandois, Bethani, Dermyer, Abigail, Dubeck, Janet, Elkins, Jennifer, Ferris, Pamela, Fraser, Neil, Kozma, Julia Gargan, Gasparovich, David, Grodman, Robert, Hampson, Jaison, Hewitt, Mitzie, Hiatt, Judy, Hopkins, Ashley, Howard, Jennifer, Joliat, John, Joliat, Jonathan, Kalt, Steven, Katzman, Steven, Kogelman, Jesse, Kruger, Davida, Kurkowski, April, Lambert, Jodi, Levcovici, Elisabeta, Lockwood, Karen, Lumberg, Michael, McMullen, Lindsay, Meyers, Peter, Minto, Carrie, Nelson, Tina, Neuner, Gregory, Nurmi, Kevin, Perkins, Judy, Plunkett, Cynthia, Ruoff, Gary, Samantray, Julie, Sawah, Ahmed, Secord, Samantha, Seyoum, Berhane, Sherman, Sarah, Simpson, Michael, Sinkoff, Mark, Skoney, Joseph, Small, Jami, Szerlong, Heidi, Tinetti, Timothy, Toomey, Adam, VanDerWerff, Holly, Whitehouse, Fred, Wilkins, Raechelle, Wolf, Stephanie, Yarows, Steven, Eldred, Edward, Hester, Kim, Huling, Randall, Moore, Kerry, Preslar, Kristina, Proge, Nakia, Smith, Lora, Young, Gerri, Bybee, Kevin, Carr, George, Case, Christopher, Forker, Alan, Goeke, Lindsay, Kocher, Darlene, Lin, Oscar, Littlefield, James, Mendoza, Robinson, Moore, Michelle, Oberhaus, Barbara, Reed, Larry, Rutherford, Cheryl, Windsor, Sheryl, Ackerman, Kim, Christensen, Reed, De Souza, Jose, Douglas, Kirsten, Hrncirik, Therese, Lefkowicz, Magen, McDonnell, Lindsey, Severa, Larry, Tjaden, Jeffrey, Ward, Laura, Addison, Shayla, Anderson, Robert, Baker, Claire, Baum, Robert, Belitz, Jenny, Boerner, Shannon, Desouza, Cyrus, Drincic, Andjela, Fitzgibbons, William, Francis, Jessica, Garvin, Maureen, Goldner, Whitney, Goodrich, Melissa, Grubbs, Lisa, Hatcher, Theresa, Hochstein, Renee, Hunter, Christine, Keuchel, Janet, Konigsberg, Sarah, Kuechenmeister, Lisa, Mack, Lynn, McKnight, Thomas, Mensik, Hanna, Mitchell, Jan, Moeller, Jennifer, Montanez, Edward, Montoya, Paul, Nemecek, Tiffany, Neumeister, Amy, Newcomb, Jefferey, Pracht, Shelby, Radke, Kaitlin, Rahman, Jennifer, Renter, Samantha, Reynolds, Jill, Grace Rodriguez, Maria, Satorie, Jessica, Schiermann, Lynnda, Severson, Megan, Shivaswamy, Vijay, Snyder, Janice, Tillson, Renee, Vasey, Andrew, Wahl, Timothy, Weeks, William, Wolf, Thomas, Springer, Brian, Mitchell, Janice, Woodruff, Mark, Alvarez, Isis, Bowers, Rachel, Cala-Anaya, Franklin, Castellanos-Rodriguez, Rudiber, Christopher, Janice, Concepcion, Gelvis, Fernandez, Dareana, Ghanem, Paula, Harmon, Nicolette, Kaiser, Heather, Kaplan, Westbrook, Klugh, Serena, Le, Nicholas, Lehrner, Stephanie, Lopez, Robert, Martin, Olga, Martinez, Tina, Martini, Nicole, Molin, Clifford, Nakhle, Samer, Newsome, Yvonne, Neylon, Ellen, Olsen, Jarvis, Palal, Betsy, Philander, Peter, Rosario, Adriana Ruiz, Sanchez, Mary, Sierra-Garcia, Miguel, Smith, Myesha, Trenche, Samuel, Trippi, Danna, Vernetti, Nicholas, Villegas, Laura, White, Briana, Wilcox, Simmon, Carmolli-Cornette, Lisa, Chuang, Ellie, Hoffman, Sheila, Laliberte, Alison, Marshall, Lisa, Meroski, Pamela, O'Neil, Christine, Shippey, Jeanette, Spector, Linda, Cam, Jenny, Chen, Tina, Damle, Jagadish, Holman, Rebecca, Liu, Jenny, Milazzo, Carmelo, Quach, Brenda, Yang, Bin, Ahmad, Basharat, Aro, Dominic, Azeem, Fouzal, Bonaccorso, Antoinette, Brancato, Lenore, Brautigam, Donald, Charatz, Seth, Chiarot, June, Cunningham, Linda, DiCerbo, Nancy, DiGiovanna, Michael, Dluge-Aungst, Dawn, Dolbeer, Traci, Donovan, Daniel, Duma, Carol, Ellwood, Rebecca, Freedman, Zachary, Gorman, Timothy, Gunther, David, Hogan, Eileen, Hoffman, Lisa, Kapoor, Anoop, Kelly, Michelle, Kitchen, Timothy, Lam, David, Levister, Camilla, Levy, Carol, Lopez, Carlos, Lyons-Patterson, Jane, Makam, Sashi, Mauceri, Diana, McClary, Carole, Murak, Daniel, Nolan, Kelly, Nunez, Carlos, Elliott, Theresa Ohlson, Ostrowski, Phillip, Pallai, Ajish, Porges, Andrew, Rodes, Alfredo, Rosenberg, Richard, Rubel, Lance, Serrano, Lelanie, Shannon, Daniel, Sinha, Rabi, Snyder, Brian, Sy, Claude, Tang, Rocky, Varavenkataraman, Raghupathy, Winterberger, Amy, Allen, Stacy, Anderson, Marshall, Asbill, Mark, Beasley, Amanda, Bennett, Chrisitian, Bergamo, Katherine, Bilbro, Scott, Brannock, Sarah, Brown, Laura, Bryant, Danielle, Buck, Genena, Burdette, Tara, Buse, John, Butler, Laura, Caldwell, Ronald, Cannon, Daniel, Cannon, Kevin, Carter, Casey, Cherry, Amanda, Comer, Zoe, Crittenden, Susan, Cuffee, Juanita, Culmer, Dawn, Daly-Barnes, Kristie, Evensen, Erick, Saavedra, Rubin, Dean, John, Dezube, Milana, Diner, Jaime, Dodis, Regina, Dostou, Jean, Duclos, Michelle, Elmore, Miles, Ferree, Kristin, Foster, Leslie, Fuller, Gail, Garner, Susan, Godwin, Sarah, Goley, April, Gore, Whitney, Green, Brenda, Harris, Elizabeth, Harris, Joy, Harris, Rebecca, Hatharasinghe, Roger, Herring, Charles, Hill, Chernessa, Holmes, Robert, Hutchens, Erin, Jennings, Stuart, Kaake, Ashley, Kaygun, Handan, Kirkman, Marian Sue, Kretzschmar, Heather, Lang, Jaqueline, Largay, Joseph, Lewis, Melissa, Long, Maria Ann, Lucas, Kathryn, McCall, Roshanda, McDaniel, Catrina, McGinnis, Lee Ann, Mogabgab, Edward, Montero, Manuel, Montgomery, Richard, Moran, Joseph, Morgan, Katie, Motley, Taylor, Narendran, Mahendra, Narron, Brooke, Newman, Walter, Nicholson, John, Norris, Stephanie, Norton, Jennifer, Nowell, Erin, O'Brien, Heather, Otero, Heydin, Perkins, Victoria, Quesada, Reyna, Raad, George, Raley, Rosalie, Raman, Sujatha, Rappaport, Jonathan, Ray, Robert, Ray, Shannon, Rice, Lucian, Roberts, Christine, Ross, Kaylee, Scanlon, Erica, Schroder, Derek, Schulte, Michelle, Schultzaberger, Richard, Shoffner, Sylvia, Skrzynski, Michael, Smith, Brian, Smith, Holly, Smith, Jennifer, Smith, Justin, Smith, Kendall, Smith, Leigh, Sparks, Jeffrey, Speece, Jessica, Spivey, Jessica, Stebich, Andrew, Temple, Karen, Tessena, Boryana, Thompson, Casey, Traylor, Henry, Turner, Juliana, Turner, Sh-Rhonda, Van Cleeff, Martin, Vukojicic, Katarina, Wanchick, Leslie, Weinrib, Stephen, Werner, Devorah, Wishon, Candace, Wilson, Jonathan, Wilson, Stephanie, Wright, Heather, Young, Laura, Brown, Jamie, Lillestol, Michael, Allen, Mary Jo, Barker, Bruce, Bedel, Gary, Beuerlein, Shawn, Bhati, Amar, Breslaw, Nicole, Brown, April, Burtch, Brian, Check, Ellen, Chiodi, Shawnie, Colosimo, Linda, Cope, Kathie, Coressel, Denise, Cramer, Bethany, Crowel, Amy, Daboul, Nizar, DeLong, Rebecca, Dirkes, William, Farooki, Zia, Fixler, Don, Friedhof, Linda, Griffen, Julie, Hagan, Anjani, Haney, Kevin, Harris, Kira, Hoffmann, Amanda, Hsieh, Ronald, Ismail-Beigi, Faramarz, Kelso, Kim, Khamousia, Nidaa, Kremer, Gerald, Krol, Adrienne, Kulow, Tanya, Kuttler, Mary, Lee, Andy, Leksan, Jane, McElroy-Marcus, Susan, McNeil, Donald, Mulligan, Guy, Pantalone, Kevin, Perrino, Frank, Peysha, Lori, Pickett, Alicia, Pritchard, James, Provanzana, Kathleen, Rancitelli, Philip, Raupp, Randa, Schnall, Adrian, Siddiqui, Jaweriah, Smith, Cynthia, Sood, Ajay, Sortor, Jennifer, Spinelli, Kristin, Taylor, Diana, Thornton, Aaron, Tiktin, Margaret, Twine, Melissa, Urbank, Ann, Voegele, Francis, Wang, Lawrence, Weiss, Daniel, Werner, Amanda, Williams, Daniel, Wilson, Charles, Aberle, Teresa, Arcon-Rios, Sirlys, Arodak, Bassam, Aziz, Ammara, Bixler, Lacey, Brisko, Carolann, Cannon, Melanie, Choe, James, Connery, Lisa, Elkosseifi, Myriam, George, Aja, Hummer, Kimberly, LaBryer, Lauren, Lane, James, Lim, Jonea, Mirza, Lubna, Mittadodla, Saritha, Priest, Diane, Rao, Veitla, Ricci, Cassie, Salazar, Jennifer, Shaw, Jessica, St John, Jennifer, Talsania, Mitali, Joarder, Farahnaz, Riddle, Matthew, Yuen, Kevin, Ahmed, Intekhab, Austin, Barry, Bagnata, Linda, Bartkowiak, Anthony, Batrus, Jennifer, Baumgarten, Thomas, Belejchak, Paula, Belucher, Christine, Benton, Julia, Berger, Peter, Biscoveanu, Mihaela, Blasick, Abbie, Blyler, Kay, Casey, Linda, Chandler, Bronell, Chapman, Kim, Chou, Brian, Cisar, Jennifer, Clatterbuck, Tabetha, Cook, Richard, Cook II, Richard, Dardi, Inderpreet, DeSalle, Dina, Edevane, Shari, Elliott, Kelsey, Everhart, Brian, Furlong, Kevin J., Geishauser, Jennifer, Goisse, Marcy, Goodman, Yvonne, Gordon, Murray, Gutowski, Catherine, Harris, Ronald, Hu, Ying, Hull, Jenny, Iachini, Kathleen, Iannamorelli, Anthony, Jabbour, Serge, Jackson, Timothy, Jameson, Brian, Janosov, Paula, Jordan, Terry, Kennedy, John, Kurtzer, Gayle, Labuda, Joseph, LaRochelle, Anne, Levinson, Lawrence, Madder, Robert, Marconnet, Kari, Mareda, Patricia, Michael, Donna, Michaels, Debra, Miller, Cathy, Miller, Jeffrey, Minnock, Ann, Mitchell, Michele, Moturi, Hemlata, Moyer, Heather, Nagelberg, Steven, Oliver, Michael, Pepe, Constance, Porter, Patricia, Posey, Dora, Purighalla, Raman, Redmond, Jessica, Reiling, Joseph, Reiling, Susan, Rine, Kathy, Rust, William, Sandutch, Jill, Shaffer, Anette, Shalongo, Annette, Shawley, Sarah, Shonk, Pamela, Singh, Vinay, Slucki, Andrea, Spiller, Kellie, Springer, Nina, Sprouse, Heidi, Sun, Albert, Taylor, Judith, Watine, Robert, Watkinson, Jean, Weaver, Nancy, Wenocur, Howard, Yeoman, Gary, Ackermann, Jeremy, Averill, Nathan, Ballard, Thomas, Byars, William, Carter, Caroline, Castay, Cathleen, Cheek, Shonda, Collins, Jessica, Collins-Jamison, Traci, Cooksey, Erin, Crockford, Nicole, Cutshall, Christopher, Dar, Moahad, Drake, Almond, Dugat, Kameron, Durham, John, Durham, Nancy, Eagerton, Donald, Edmonds, Nataish, Farmer III, Joseph, Fogarty, Charles, Gatlin, June, Geisberg, Harry, Grossman, Margaret, Harrell, Wendy, Harrison, John, Harrison, Kristina, Heincelman, Sarah, Holladay, Lauren, Huberty, Chad, Isakov, Ingrid, Jordan, Norma, Kunkel, Michael, Laserna, Susan, Lawrence, Amanda, Lawrence, Andrew, Livingston, Yolanda, Lloyd, Eric, Lopez, Lina, Manuel, Joyce, Mayfield, Ronald, McDonald, Margaret, Morgan, Caroleann, Munn, Joanie, Murphy, Lauren, Nicol, Brent, Nicol, Philip, Norris, Rebecca, Phillips, Bunny, Reeves, Angela, Roach, Jacqueline, Ross, Irene, Santi, Jeffrey, Saunders, Jacqueline, Shugart, Henry, Singleton, Monnieque, Slee, Erin, Smalley, Kathleen, Smith, Kristy, Sofley, Carl, Solheim, Vesna, Spell, Samantha, Tanenberg, Robert, Whitley, Chester, Widel, Michele, Wilhoit, Gordon, Wood, Ruth, Wright, Jaime, Wulf, Alissa, Zapkowski, Julie, Adams, Kristi, Adams, Roberta, Ananthula, Parvati, Bass, Caitlin, Bates, Chad, Baum, Howard, Bays, Anna, Beck, Teresa, Bilbrey, Brett, Brown, Ashley, Carlton, Anna, Carter, Jenny, Cheri, Laura, Childress, Richard, Cloud, Mark, Cohen, A. Jay, Coulter, Alice, Dotson, Kimberly, Green, Christopher, Helton, Ashley, Houstrup, Jody, Huffman, David, Hurst, Fred, Hurst, James, Jantzi, Curtis, Jerkins, Randy, Jerkins, Terri, Jones, Mandy, Kelley, Shane, Kroulek, Judy, Lawhun, Dennis, Lee, Marcus, Louthan, James, Manning, Rickey, May, Michael, Means, Katherine, Monroe, Jeanabe, Morawski, Emily, Morin, David, Morris, Barbara, Murray, John, Nichols, Robert, Olivi, Stacie, Pennington, Kristina, Poe, Jenny, Pour, Omid Rad, Reeves, Michael, Reeves, Pamela, Root, Connie, Rose, Karen, Rutledge, Lily, Ryan, Eugene, Schwartz, Patricia, Shafer, Jennifer, Singh, Chitra, Smith, Ashley, Snow, Rodney, Stamps, Henry, Staton, Peggy, Stevens, Jeffrey, Stovall, Cathy, Sturgeon, Rodney, Tapp, John, Tapp, Stacy, Warner, Carla, Weiss, Melissa, White, Judith, Wierum, Craig, Williams, Konya, Wright, Tiffanie, Abreu, Marconi, Agarwal, Vandana, Ahmad, Aftab, Ahmad, Asma, Ahmed, Faiz, Ahn, Lily, Alaoui, Rachid, Alarcon, Stephanie, Allison, Dale, Annamalai, Rajasekaran, Arain, Khadija, Arellano, Angelica, Arispe, Barbara, Aronoff, Stephen, Arroyo, Jesus, Bachand, Trista, Bailey, Becky, Bajaj, Chris, Banarer, Salomon, Barnella, Christine, Bartz, Mary, Bates, Jason, Becerra, Karen, Benavides, Melissa, Bhuchar, Subodh, Blevins, Thomas, Bonazzi, Amanda, Brinson, Cynthia, Brown, Timiki, Buckley, Brandee, Bunker, Christy, Burbano, Jose, Busch, Vickey, Bustamante, Rosibel, Calais, Natalee, Camacho, Allison, Camp, Shana, Canada, Nancy, Canchola, Daniel, Cano, Monica, Cardenas, Veronica, Carl, Leighton, Casaubon, Luis, Castaneda, Jessica, Castro, Cindy, Ceniceros, Diego, Chaicha-Brom, Tira, Chaudhuri, Sudipta, Chavez-Velazquez, Alberto, Chen, Jocelyn, Cheyne, Theresa, Chilka, Sapna, Chionh, Kristen, Chunawala, Imran, Cope, Pamela, Cotton, Sonja, Daudjee, Munib, Davidson, Tichina, De Loa, Geraldine, Deniega, Ann, Dillow, Naco, Dominguez, Michael, Dorfman, Steven, Doshi, Ankur, Dunnam, Theresa, Dutta, Papiya, Eiler-Prater, Megann, Eizensmits, Christina, Espinosa, Valerie, Evans, Charles, Frisinger, Cathy, Ganta, Shylesh, Galtney, Kirsten, Gammon, John, Garcia, Analisa Marie, Garcia, Ronald, Glaspie, Tina, Golici, Laura, Gonzalez, Julian, Grant, David, Green, Carrie, Groce, Lindsay, Guevara, Stephanie, Gutierrez, Mary, Hance, Cortney, Harden, Tiffany, Harrison, Lindsay, Herrera, Carlos, Hettler, Evelyn, Holcomb, Michelle, Hoste, Laura, Hudson, Tina, Huerta, Leticia, Jain, Mahendra, Jayaram, Preeth, Johnson, Monique, Johnson, Olivia, Jones, Laurie, Joseph, John, Juarez, Misty, Karimjee, Najmuddin, Kephart, Ashley, Khan, Armgan, Khan, Jalil, Killian, Michael, Kniffen, Wendy, Koops, Maureen, Kwan, Louise, La, John, Laabs, Jessica, Ledesma, Gilbert, Lee, Monica, Leuck, Kathryn, Livingston, Carrie, Llanas, Teresa, Longoria, Andy, Lorta, Jesse, Lothringer, Larry, MacAdams, Maria, MacAdams, Michael, MacGillivray, Brian, Mageno, Melissa, Malek, Megan, Manley, Meghan, Marler, Karen, Martinez, Cristina, Massie, Jodi, Mateos, Glenda, Mathew, Reena, Maya, Claudia, Mazour, Meg, Mbogua, Caroline, McClendon, Robert, McMullen, Deirdre, Meisner, Carl, Menchaca, Ethelina, Meyers, Linda, Miklius, Audrey, Milam, Alissa, Milam, Ronnie, Miller, Tracey, Mize, Lisa, Moczygemba, Roger, Nafegar, Alexandria, Naidu, Jayaram, Nair, Archana, Nguyen, Alison, Nielsen, Douglas, Nisnisan, Josier, Nisnisan, Maria, Oden, Wendy, Orsak, Jessica, Ozer, Kerem, Papacostea, Olivia, Panchal, Ravi, Parikh, Manish, Parthiban, Beneta, Perrin, Brittney, Perkins, Harvonya, Poduri, Madhuri, Pop, Laurentiu, Portales, Nancy, Porter-Tucci, Linda, Postell, Sharon, Pucillo, Ronald, Reddy, Madhavi, Reddy, Rajneesh, Almodovar, Ramon Gilberto Reyes, Richard, Timiki, Richardson, Michele, Riesch, Louie, Rivera-Flores, Samuel, Rizvi, Abid, Rizvi, Samana, Rodas, Kristen, Rodgers, Mark, Roe, Erin, Rogers, Rebecca, Romero, Reina, Rooker-Morris, Leslie, Rosenstock, Julio, Sachson, Richard, Salcedo, Alfredo, Schill, Joseph, Schuh, Kristy, Schuster, Randall, Scribner, Anita, Shah, Arunkumar, Shaw, Stephanie, Shirley, Jefferey, Shook, Mindy, Siddiqui, Muhammad, Sims, Jamie, Singh, Kamalpreet, Skero, Jennifer, Smejdir, Debra, Stacey, Amy, Strzinek, Robert, Tan, Anjanette, Tayabali, Khadija, Tercero, Almundena, Terry, Jessica, Tinney, Irene, Toe, Florence, Toler, Sara, Tripathy, Devjit, Tumyan, Anna, Ulrich, Michelle, Underwood, Krissandra, Valdez, Christina, Valdivieso, April, Vanderheiden, Anna, Vandre, Morgan, Vardeman, Megan, Vargas, Richard, Vilchis, Monica, Warne, Desiree, Wallace, Jeannine, Weindorff, Kathleen, Welch, Heather, Wellmon, Brandy, Werntz, Gary, White, Leta, Williams, Tearani, Wilson, Maria, Wilson, Robyn, Wilson, Ronald, Wood, John, Wright, David, Yeatts, Rhonda, Zahir, Rezwana, Crockett, Becky, Fawson, Ashlee, Graham, Timothy, Mitchell, Zachary, Quinn, Sally, Reddy, Deepika, Rhudy, Jackson, Rosen, Priscilla, Shakespear, Kaylynn, Simmons, Debra, Turner, Ashley, Vanderhoof, Erin, Wahl, Matthew, Zubair, Imran, Algus, Michael, Gilbert, Matthew, Gorson, David, Marney, Annis, Rodriguez, Juan Pablo Perdomo, Roth, Marilynn, Scofield, Sheilah, Thottan, Anna, Bittorf, Margaret, Botros, Emad, Carpenter, Jeanette, Dashiell, Carie, Dimascio-Johnson, Nancy, Fredrickson, Sonja, Gruenther, M., Hall, Lisa, Hartman, Aaron, Hiner, Janette, Kelley, Donna, Kimmel, Melissa, Larrick, Laura, Lawson, Marie, Levy, James, Lewis, Teneshia, Lovell, Charles, Newby, James, Nichols, Michelle, O'Donnell, Philip, Orengo, Sheyla, Pecsok, Thomas, Reiss, Lind, Tarkington, Phillip, Yeatts, Donald, Zieve, Franklin, Ahmed, Imtiaz, Ali, Sajid, Anwar, Sami, Cathcart, Harold, Dawson, Lucia, Floresca, Rolando, Galvan, Ashley, Gardner, Timothy, Halsey, Kami, Hashmi, Farrukh, Hegel, Jackie, Landon, Megan, Moulton, Katlynn, Nand, Cheta, Sakic, Amra, Sevey, Brandie, Wilson, Bruce, Ahl, Scott, Blank, Robert, Coly, Gerard, Hoenig, Jennifer, Jain, Rajeev, Joseph, Elizabeth, Kasprzak, Debra, Kisiel, Lalaine, Maaske, Maurene, Manadhar, Smriti, Patel, Shailendra, Sickler, Whitney, Grp, D.E.V.O.T.E. Study, Acibadem University Dspace, Marso S.P., Mcguire D.K., Zinman B., Poulter N.R., Emerson S.S., Pieber T.R., Pratley R.E., Haahr P.-M., Lange M., Brown-Frandsen K., Moses A., Skibsted S., Kvist K., Buse J.B., and Buscemi S
Subjects: Insulin degludec, Blood Glucose, Male, medicine.medical_treatment, DEVOTE Study Group, Insulin Glargine, Type 2 diabetes, Kaplan-Meier Estimate, 030204 cardiovascular system & hematology, law.invention, diabetes, insulin, 0302 clinical medicine, Randomized controlled trial, law, Cardiovascular Disease, GLUCOSE CONTROL, 11 Medical and Health Sciences, RISK, COMPLICATIONS, OUTCOMES, Incidence, General Medicine, Middle Aged, Insulin, Long-Acting, VARIABILITY, Cardiovascular Diseases, diabetes mellitus, Female, Life Sciences & Biomedicine, Human, medicine.drug, medicine.medical_specialty, 030209 endocrinology & metabolism, Aged, Diabetes Mellitus, Type 2, Double-Blind Method, Humans, Hypoglycemia, Hypoglycemic Agents, Medicine (all), Bedtime, Article, EVENTS, 03 medical and health sciences, HYPOGLYCEMIA, Medicine, General & Internal, Internal medicine, Diabetes mellitus, General & Internal Medicine, medicine, Intensive care medicine, METAANALYSIS, Science & Technology, Hypoglycemic Agent, Insulin glargine, business.industry, Insulin, medicine.disease, business, BASAL INSULIN
Abstract: BACKGROUND Degludec is an ultralong-Acting, once-daily basal insulin that is approved for use in adults, adolescents, and children with diabetes. Previous open-label studies have shown lower day-To-day variability in the glucose-lowering effect and lower rates of hypoglycemia among patients who received degludec than among those who received basal insulin glargine. However, data are lacking on the cardiovascular safety of degludec. METHODS We randomly assigned 7637 patients with type 2 diabetes to receive either insulin degludec (3818 patients) or insulin glargine U100 (3819 patients) once daily between dinner and bedtime in a double-blind, treat-To-Target, event-driven cardiovascular outcomes trial. The primary composite outcome in the time-To-event analysis was the first occurrence of an adjudicated major cardiovascular event (death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke) with a prespecified noninferiority margin of 1.3. Adjudicated severe hypoglycemia, as defined by the American Diabetes Association, was the prespecified, multiplicity-Adjusted secondary outcome. RESULTS Of the patients who underwent randomization, 6509 (85.2%) had established cardiovascular disease, chronic kidney disease, or both. At baseline, the mean age was 65.0 years, the mean duration of diabetes was 16.4 years, and the mean (±SD) glycated hemoglobin level was 8.4±1.7%; 83.9% of the patients were receiving insulin. The primary outcome occurred in 325 patients (8.5%) in the degludec group and in 356 (9.3%) in the glargine group (hazard ratio, 0.91; 95% confidence interval, 0.78 to 1.06; P
Published: 2017

37. Primordial lithium abundance problem of BBN and baryonic density in the universe

Author: Singh, Vinay, Lahiri, Joydev, Bhowmick, Debasis, and Basu, D. N.
Subjects: Nuclear Theory (nucl-th), Nuclear Theory, Astrophysics - Solar and Stellar Astrophysics, FOS: Physical sciences, Astrophysics::Galaxy Astrophysics, Solar and Stellar Astrophysics (astro-ph.SR)
Abstract: Prediction of the primordial abundances of elements in the big-bang nucleosynthesis (BBN) is one of the three strong evidences for the big bang model. Precise knowledge of the baryon-to-photon ratio of the Universe from observations of the anisotropies of cosmic microwave background radiation has made the Standard BBN a parameter-free theory. Although, there is a good agreement over a range of nine orders of magnitude between abundances of light elements deduced from observations and calculated in primordial nucleosynthesis, there remains a yet-unexplained discrepancy of $^7$Li abundance higher by a factor of $\sim 3$ when calculated theoretically. The primordial abundances depend on the astrophysical nuclear reaction rates and on three additional parameters, the number of light neutrino flavours, the neutron lifetime and the baryon-to-photon ratio in the universe. The effect of the modification of thirty-five reaction rates on light element abundance yields in BBN was investigated earlier by us. In the present work we have incorporated the most recent values of neutron lifetime and the baryon-to-photon ratio and further modified $^3$He($^4$He,$\gamma$)$^7$Be reaction rate which is used directly for estimating the formation of $^7$Li as a result of $\beta^+$ decay as well as the reaction rates for t($^4$He,$\gamma$)$^7$Li and d($^4$He,$\gamma$)$^6$Li. We find that these modifications reduce the theoretically calculated abundance of $^7$Li by $\sim 12\%$., Comment: 6 pages including 1 table. arXiv admin note: substantial text overlap with arXiv:1106.2972; text overlap with arXiv:1707.01004 by other authors
Published: 2017
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38. SEISMIC ANALYSIS OF MULTISTOREY REINFORCED CONCRETE STRUCTURES

Author: Yadav Mahesh, Singh Ravikant, and Kumar Singh Vinay
Subjects: business.industry, Structural engineering, business, Reinforced concrete, Geology, Seismic analysis
Published: 2019
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39. Optimality and duality for minimax fractional programming with support functions under B - ( p , r ) -Type I assumptions

Author: Antczak, Tadeusz and Singh, Vinay
Subjects: Modelling and Simulation, Computer Science Applications
Published: 2013
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40. Effect of chlorophyllin bait on acetylcholinesterase and cytochrome oxidase activities in the nervous tissue of Lymnaea acuminata with exposure of sunlight and red light

Author: Kumar, Navneet and Singh, Vinay Kumar
Subjects: Snails, AChE, Chlorophyllin, Lights, Cytochrome oxidase
Abstract: This study has focused on the effect of chlorophyllin bait on acetylcholinesterase and cytochrome oxidase activities in the nervous tissue of Lymnaea acuminata with exposure of sunlight and red light. Treatment with 24 h LC50 chlorophyllin (40% and 80%) at sunlight and red light exposure in infected and uninfected snails lasted for 24 h caused strong inhibition in the activities of acetylcholinesterase and cytochrome oxidase with a dose-dependent manner. The maximum inhibition of AChE (54.91% of control) and cytochrome oxidase (55.54% of control) were observed in the nervous tissue of infected snail exposed to 80% of the 24 h LC 50 values of chlorophyllin + red light. Amongst the all spectral band of light a greater inhibition of cytochrome oxidase and AChE activity was observed with the red light + chlorophyllin treated snails in infected/uninfected L. acuminata. Present study confirmed the toxic effect of chlorophyllin + red light against snails.
Published: 2016
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41. One pot synthesis and fungicidal activity of some bis-(2-arylamino-1,3,4- oxadiazol-5-yl)propane by electrolytic initiated desulfurization of propylenediacylthiosemicarbazone

Author: Sharma, Laxmi Kant, Singh, Sushma, Singh, Vinay K., and R. K. P. Singh
Subjects: electrochemical synthesis, Green chemistry, environmentally benign, controlled potential electrolysis, cation radical, Bis-oxadiazoles
Abstract: Electrochemical Laboratory of Green Synthesis, Department of Chemistry, University of Allahabad, Allahabad-211 002, Uttar Pradesh, India E-mail : rkp.singh@rediffmail.com A facile and efficient route for synthesis of substituted bis-1,3,4-oxadiazoles have been carried out at platinum electrode from electrocyclization of propylenediacylthiosemicarbazone by using LiClO4 as supporting electrolyte in acetonitrile as non-aqueous solvent under controlled potential electrolysis at room temperature. The synthesized compounds were characterized by spectroscopic methods and mechanism was deduced from cyclic voltammetric studies. The fungicidal activities of products (6a-6f) were evaluated against fungal strain Aspergillus flavus and Alternaria solani. Excellent yields with high atom economy, shortest reaction time and easy work-up are attractive features in context to green chemistry.
Published: 2016
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42. Virtual Labs on Secondary Metabolic Pathways in Plants

Author: Padmavati, Manchikanti, KUMAR, B Ramesh, and SINGH, Vinay Kumar
Abstract: Information and communication technologies have made a big impact on education system and brought a fundamental change in teaching and learning methods. Computer assisted collaborative learning has gained popularity over the years and revolutionized science education. The remote and virtual lab in plant metabolic pathway lab provides an interactive learning based environment to the students for studying the structural and functional complexity of secondary metabolites in plants. This is achieved by a systematic understanding of complex structure and pathway in plants through series of illustrative and interacting learning tools, tutorials and simulated experiments. Further, users can remotely connect to the virtual lab to learn the High Performance Liquid Chromatography (HPLC) instrumentation based on analysis of secondary metabolites in plants (with Tea, Maize and Petunia as the plant models). Further we examined the students’ understanding capability towards these labs with questionnaires designed in a hierarchical manner. This is the first systematic development of virtual laboratory on secondary metabolite pathway that encapsulates the importance of remote and virtual labs over the traditional mode of learning and describes its implementation in relation to the flavonoid pathway in plants.
Published: 2016

43. Additional file 1: Figure S1. of Effectiveness of the WHO Safe Childbirth Checklist program in reducing severe maternal, fetal, and newborn harm in Uttar Pradesh, India: study protocol for a matched-pair, cluster-randomized controlled trial

Author: Semrau, Katherine, Hirschhorn, Lisa, Bhala Kodkany, Spector, Jonathan, Tuller, Danielle, King, Gary, Lipsitz, Stuart, Sharma, Narender, Singh, Vinay, Bharath Kumar, Dhingra-Kumar, Neelam, Firestone, Rebecca, Vishwajeet Kumar, and Gawande, Atul
Abstract: BetterBirth Safe Childbirth Checklist: the WHO Safe Childbirth Checklist adapted for alignment with Indian national guidelines. (PDF 5557 kb)
Published: 2016
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44. Clinical Outcome of a Novel Anti-CD6 Biologic Itolizumab in Patients of Psoriasis with Comorbid Conditions

Author: Singh, Vinay
Subjects: medicine.medical_specialty, Article Subject, Itolizumab, Dermatology, Disease, Systemic therapy, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, Immune system, Psoriasis, lcsh:Dermatology, medicine, In patient, biology, business.industry, lcsh:RL1-803, medicine.disease, 030220 oncology & carcinogenesis, Monoclonal, Immunology, biology.protein, Antibody, business, Research Article, medicine.drug
Abstract: Psoriasis is a common, chronic, immune mediated, inflammatory disease of skin characterized by red patches enclosed with white scales and affects 2-3% of people in the world. Topical therapy, phototherapy, and systemic therapy were employed for management of disease from many last decades. However, long term uses of these agents are associated with unwanted effects and toxicities. Recently, Itolizumab has been developed as world’s first anti-CD6 humanized monoclonal IgG1 antibody for the management of moderate-to-severe chronic plaque psoriasis in India. Here we are presenting the response indicated by Itolizumab in 7 Indian patients having moderate-to-severe psoriasis with severe comorbidities and who were intolerant/nonresponding to conventional therapies.
Published: 2016
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45. Additional file 2: of Effectiveness of the WHO Safe Childbirth Checklist program in reducing severe maternal, fetal, and newborn harm in Uttar Pradesh, India: study protocol for a matched-pair, cluster-randomized controlled trial

Author: Semrau, Katherine, Hirschhorn, Lisa, Bhala Kodkany, Spector, Jonathan, Tuller, Danielle, King, Gary, Lipsitz, Stuart, Sharma, Narender, Singh, Vinay, Bharath Kumar, Dhingra-Kumar, Neelam, Firestone, Rebecca, Vishwajeet Kumar, and Gawande, Atul
Abstract: BetterBirth trial SPIRIT checklist. (DOC 121 kb)
Published: 2016
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46. Additional file 3: Figure S2. of Effectiveness of the WHO Safe Childbirth Checklist program in reducing severe maternal, fetal, and newborn harm in Uttar Pradesh, India: study protocol for a matched-pair, cluster-randomized controlled trial

Author: Semrau, Katherine, Hirschhorn, Lisa, Bhala Kodkany, Spector, Jonathan, Tuller, Danielle, King, Gary, Lipsitz, Stuart, Sharma, Narender, Singh, Vinay, Bharath Kumar, Dhingra-Kumar, Neelam, Firestone, Rebecca, Vishwajeet Kumar, and Gawande, Atul
Abstract: BetterBirth trial SPIRIT figure. (DOCX 32 kb)
Published: 2016
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47. Amoora rohituka : A multicentric double blind homoeopathic pathogenetic trial

Author: Rajpal Rajpal, Singh Vinay, Majumdar A, Chandra P, Rakshit Goutam, and Sivadas P
Subjects: Complementary and alternative medicine
Published: 2011
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48. FRAGILITY CURVES FOR REINFORCED CONCRETE STRUCTURAL WALLS

Author: Singh Ravikant and Kumar Singh Vinay
Subjects: Materials science, Fragility, business.industry, Structural engineering, Reinforced concrete, business
Published: 2018
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49. Differential Reactivity of [TpRu(κ2P,N-iPr2PXPy)Cl] (X = NH, S) Bearing Hemilabile Coligands Towards NaBArF 4, Lithium Acetylide, and Acetylenes

Author: K. Singh, Vinay, Puerta Vizcaino, María del Carmen, Valerga Jiménez, Pedro Sixto, and Ciencia de los Materiales e Ingeniería Metalúrgica y Química Inorgánica
Subjects: Alkyne ligands, Vinylidene ligands, Acetylides, Carbene ligands, Ruthenium
Abstract: In contrast with [TpRu(κ2P,N-iPr2PNHPy)Cl] (1a, Tp = trispyrazolylborate), [TpRu(κ2P,N-iPr2PSPy)Cl] (1b) reacts with sodium tetrakis[3,5-bis(trifluoromethyl)phenyl]borate (NaBArF 4) in fluorobenzene under nitrogen to afford the dinuclear complex [{TpRu(κ2P,N-iPr2PSPy)}2(μ-Cl)][BArF4] (1b ). Through diverse synthetic strategies, a series of neutral acetylides [TpRu(C CR)(κ2P,N-iPr2PXHPy)] [X = NH; R = Ph (2a), SiMe3 (2b); X = S; R = Ph (2c), p-C6H4Br (2d), COOMe (2e)], cationic vinylidene complexes [TpRu(=C=CHR)(κ2P,NiPr2PNHPy)]+ [X = NH; R = Ph (3a), SiMe3 (3b); X = S; R = Ph (3c), p-C6H4Br (3d)] and [TpRu(=C=CH2)(κ2P,N-iPr2PNHPy)]+ (3e), and a cationic η2-alkyne complex [TpRu(η2- HC CCOOMe)(κ2P,N-iPr2PSPy)][BArF 4] have been efficiently synthesized from 1a and 1b. The methoxy(methyl)- carbene complexes [TpRu{=C(OMe)CH3}(κ2P,N-iPr2PXPy)]- [BPh4] [X = NH (5a), S (5b)] were isolated from the reactions of 1a and 1b with acetylene gas in the presence of NaBArF4 in methanol. The deprotonation of the cationic vinylidenes derived from 1b with KtBuO affords the corresponding neutral acetylide complexes, which undergo facile protonation with CF3SO3H to reproduce the cationic vinylidenes quantitatively.
Published: 2015

50. Expression analysis of lipoxygenase gene in different tissue and cell line to investigate candidate gene in inflammatory disease and cancer

Author: Garg, Vijay Kumar, Shachi Gahoi, Apoorv Tiwari, Himanshu Awasthi, Sagar, Alka, Rajhans Tyagi, Singh, Vinay Kumar, and Ramteke, Pramod W.
Published: 2015
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