Plant‐expressed Fc‐fusion protein tetravalent dengue vaccine with inherent adjuvant properties

Kim, Mi Young,Copland, Alastair,Nayak, Kaustuv,Chandele, Anmol,Ahmed, Muhammad S.,Zhang, Qibo,Diogo, Gil R.,Paul, Matthew J.,Hofmann, Sven,Yang, Moon‐,Sik,Jang, Yong‐,Suk,Ma, Julian K BLACKWELL 2018 PLANT BIOTECHNOLOGY JOURNAL Vol.16 No.7

<P><B>Summary</B></P><P>Dengue is a major global disease requiring improved treatment and prevention strategies. The recently licensed Sanofi Pasteur Dengvaxia vaccine does not protect children under the age of nine, and additional vaccine strategies are thus needed to halt this expanding global epidemic. Here, we employed a molecular engineering approach and plant expression to produce a humanized and highly immunogenic poly‐immunoglobulin G scaffold (PIGS) fused to the consensus dengue envelope protein III domain (cEDIII). The immunogenicity of this IgG Fc receptor‐targeted vaccine candidate was demonstrated in transgenic mice expressing human FcγRI/CD64, by induction of neutralizing antibodies and evidence of cell‐mediated immunity. Furthermore, these molecules were able to prime immune cells from human adenoid/tonsillar tissue <I>ex vivo</I> as evidenced by antigen‐specific CD4<SUP>+</SUP> and CD8<SUP>+</SUP> T‐cell proliferation, IFN‐γ and antibody production. The purified polymeric fraction of dengue PIGS (D‐PIGS) induced stronger immune activation than the monomeric form, suggesting a more efficient interaction with the low‐affinity Fcγ receptors on antigen‐presenting cells. These results show that the plant‐expressed D‐PIGS have the potential for translation towards a safe and easily scalable single antigen‐based tetravalent dengue vaccine.</P>

A FURTHER GENERALIZATION OF THE CLASS OF POLYNOMIALS T_n^α,k(x,r,p)

Chandel, R.C. Singh Department of Mathematics 1974 Kyungpook mathematical journal Vol.14 No.1

Optical Studies of a Pure and Dye Doped Nematic Liquid Crystal E-24

Chandel, V.S.,Manohar, S.,Shukla, J.P.,Manohar, R. The Korean Institute of Electrical and Electronic 2012 Transactions on Electrical and Electronic Material Vol.13 No.5

The present paper reports the comparative optical behavior of a pure nematic mixture E-24 and its anthraquinone dye doped sample. The variation in the ordinary and extraordinary refractive index ($n_o$, $n_e$) of the pure and dye doped samples with temperature has been discussed and it has been found that doped sample have a less refractive index compared to the pure sample. The variation in the order parameter for pure and doped samples with temperature has been discussed and it has been seen that the doped sample has a higher order parameter; the possible reasons have been discussed. The variations in birefringence and optical transmittance have also been presented here.

Investigation of a.c. conductivity measurements in a-Se80Te20 and a-Se80Te10M10 (M = Cd, in, Sb) alloys using correlated barrier hopping model

N. Chandel,N. Mehta,A. Kumar 한국물리학회 2012 Current Applied Physics Vol.12 No.2

The a.c. conductivity of a-Se80Te20 and a-Se80Te10M10 (M ¼ Cd, In, Sb) alloys has been investigated as a function of temperature in the range from 280 to 330 K and frequency in the range from 102 to 104 Hz. The experimental results indicate that a.c. conductivity sac is proportional to us where s < 1 and decreases with increasing temperature. The results obtained are discussed in terms of the correlated barrier hopping (CBH) model. An agreement between experimental and theoretical results suggests that the a.c. conductivity behavior of a-Se80Te20 and a-Se80Te10M10 (M ¼ Cd, In, Sb) system can be successfully explained by CBH model. The contribution of single polaron and bipolaron hopping to a.c. conductivity in present alloys is also studied. The a.c. conductivity of a-Se80Te20 and a-Se80Te10M10 (M ¼ Cd, In, Sb) alloys has been investigated as a function of temperature in the range from 280 to 330 K and frequency in the range from 102 to 104 Hz. The experimental results indicate that a.c. conductivity sac is proportional to us where s < 1 and decreases with increasing temperature. The results obtained are discussed in terms of the correlated barrier hopping (CBH) model. An agreement between experimental and theoretical results suggests that the a.c. conductivity behavior of a-Se80Te20 and a-Se80Te10M10 (M ¼ Cd, In, Sb) system can be successfully explained by CBH model. The contribution of single polaron and bipolaron hopping to a.c. conductivity in present alloys is also studied.

Clinical profile and cytogenetic correlations in females with primary amenorrhea

Divya Chandel,Priyanka Sanghavi,Ramtej Verma The Korean Society for Reproductive Medicine 2023 Clinical and Experimental Reproductive Medicine Vol.50 No.3

Objective: This study was conducted to investigate chromosomal abnormalities and their correlations with clinical and radiological findings in females with primary amenorrhea (PA). Methods: Detailed forms were recorded for 470 females, including the construction of three-generation pedigrees. Peripheral venous blood was drawn, with informed consent, for cytogenetic analysis. Results: An abnormal karyotype was found in 16.38% of participants. The incidence of structural abnormalities (6.8%) exceeded that of numerical abnormalities (6.15%). Turner syndrome represented 45% of all numerical abnormalities. Furthermore, the Y chromosome was detected in 5% of females with PA. Among the structural chromosomal abnormalities detected (n=32) were mosaicism (25%), deletions (12.5%), isochromosomes (18.75%), fragile sites (3.12%), derivatives (3.12%), marker chromosomes (3.12%), and normal variants (29.125%). An examination of secondary sexual characteristics revealed that 29.6% of females had a complete absence of breast development, 29.78% lacked pubic hair, and 36.88% exhibited no axillary hair development. Radiological findings revealed that 51.22% of females had a hypoplastic uterus and 26.66% had a completely absent uterus. Abnormal ovarian development, such as the complete absence of both ovaries, absence of one ovary, one absent and other streak, or both streak ovaries, was observed in 69.47% of females with PA. Additionally 43.1%, 36.1%, 67.4%, and 8% of females had elevated levels of serum follicle-stimulating hormone, luteinizing hormone, thyroid-stimulating hormone, and prolactin, respectively. Conclusion: This study underscores the importance of karyotyping as a fundamental diagnostic tool for assessing PA. The cytogenetic correlation with these profiles will aid in genetic counseling and further management of the condition.

Optical Studies of a Pure and Dye Doped Nematic Liquid Crystal E-24

V. S. CHANDEL,S. MANOHAR,J. P. SHUKLA,R. MANOHAR 한국전기전자재료학회 2012 Transactions on Electrical and Electronic Material Vol.13 No.5

The present paper reports the comparative optical behavior of a pure nematic mixture E-24 and its anthraquinone dye doped sample. The variation in the ordinary and extraordinary refractive index (no, ne) of the pure and dye doped samples with temperature has been discussed and it has been found that doped sample have a less refractive index compared to the pure sample. The variation in the order parameter for pure and doped samples with temperature has been discussed and it has been seen that the doped sample has a higher order parameter; the possible reasons have been discussed. The variations in birefringence and optical transmittance have also been presented here.

Dielectric and Electro-Optical Properties of Ceramic Nanoparticles Doped Liquid Crystals

Porov, Preeti,Chandel, Vishal Singh,Manohar, Rajiv The Korean Institute of Electrical and Electronic 2016 Transactions on Electrical and Electronic Material Vol.17 No.2

Liquid crystals are important materials because of their applications in display technology and many other scientific applications. Different mixtures of liquid crystals and their doped samples have gained interest because a single liquid crystal compound cannot fulfill all the required parameters for the display application. The doping can be accomplished with dyes, polymers, or composite nanoparticles among other substance. The addition of nanoparticles can modify the physical properties of the host liquid crystal and enhances the performance of electro-optical devices. The present study is focused on investigations of possible changes in dielectric and electro optical properties of liquid crystals caused by doping with ceramic nanoparticles. Including smaller nanoparticles were found to be better candidates for use in suppressing the unwanted ion effects in liquid crystal displays.

Lasing Characteristics of Dye-Doped Cholesteric Liquid Crystal

Porov, Preeti,Chandel, Vishal Singh,Manohar, Rajiv The Korean Institute of Electrical and Electronic 2015 Transactions on Electrical and Electronic Material Vol.16 No.3

Cholesteric liquid crystals are one dimensional photonic band-gap materials due to their birefringence and periodic structure. Dye doped cholesteric liquid crystals are self-assembling, mirror-less, low threshold laser structures that exhibit distributed feedback. In this review paper, we have presented the development in the field of lasing characteristics of dye doped cholesteric liquid crystals.

Influence of ligand chemistry on silver nanoparticles for colorimetric detection of Cr³⁺ and Hg²⁺ ions

Kailasa, Suresh Kumar,Chandel, Madhurya,Mehta, Vaibhavkumar N.,Park, Tae Jung Elsevier 2018 Spectrochimica acta. Part A, Molecular and biomole Vol.195 No.-

<P><B>Abstract</B></P> <P>In this work, we describe the role of ligand chemistry on the surfaces of silver nanoparticles (Ag NPs) for tuning their analytical applications. The citrate and melamine (MA) molecules were used as ligands for the surface modification of Ag NPs. The addition of Cr<SUP>3+</SUP> ion in citrate-Ag NPs (Cit-Ag NPs) and of Hg<SUP>2+</SUP> ion in melamine-Ag NPs (MA-Ag NPs) cause Ag NPs aggregation, and are accompanied by a color change and a red-shift. The resulting distinctly visual readouts are favorable for colorimetric detection of Cr<SUP>3+</SUP> and Hg<SUP>2+</SUP> ions. Under optimal conditions, the linear ranges are observed in the concentration ranges of 1.0–50.0 and of 10.0–100.0 μM, and with detection limit of 0.52 and 1.80 μM for Cr<SUP>3+</SUP> and Hg<SUP>2+</SUP> ions. The simultaneous detection of Cr<SUP>3+</SUP> and Hg<SUP>2+</SUP> ion is driven by the changing the ligand chemistry on the surfaces of Ag NPs that allows to tune their specific interactions with target analytes. Finally, the functionalized Ag NPs were successfully applied to detect Cr<SUP>3+</SUP> and Hg<SUP>2+</SUP> ions in water samples with satisfactory recoveries.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Tuning of Ag NPs colorimetric sensing applications with ligand chemistry </LI> <LI> Citrate- and MA-Ag NPs show high selectivity towards Cr<SUP>3+</SUP> and Hg<SUP>2+</SUP> ions over other metal ions. </LI> <LI> The sensors exhibit good linearities for Cr<SUP>3+</SUP> and Hg<SUP>2+</SUP> ion with limits of detection at micromolar range. </LI> <LI> This method was successfully applied to detect both ions in water samples. </LI> <LI> The developed sensors exhibit good accuracy and precision. </LI> </UL> </P> <P><B>Graphical Abstract</B></P> <P>Schematic representation of influence of ligand chemistry on Ag NPs surfaces for tuning of their analytical applications.</P> <P>[DISPLAY OMISSION]</P>

A Novel Second Order Radial Basis Function Neural Network Technique for Enhanced Load Forecasting of Photovoltaic Power Systems

Farhat, Arwa Ben,Chandel, Shyam.Singh,Woo, Wai Lok,Adnene, Cherif International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.2

In this study, a novel improved second order Radial Basis Function Neural Network based method with excellent scheduling capabilities is used for the dynamic prediction of short and long-term energy required applications. The effectiveness and the reliability of the algorithm are evaluated using training operations with New England-ISO database. The dynamic prediction algorithm is implemented in Matlab and the computation of mean absolute error and mean absolute percent error, and training time for the forecasted load, are determined. The results show the impact of temperature and other input parameters on the accuracy of solar Photovoltaic load forecasting. The mean absolute percent error is found to be between 1% to 3% and the training time is evaluated from 3s to 10s. The results are also compared with the previous studies, which show that this new method predicts short and long-term load better than sigmoidal neural network and bagged regression trees. The forecasted energy is found to be the nearest to the correct values as given by England ISO database, which shows that the method can be used reliably for short and long-term load forecasting of any electrical system.