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- 저자 : S. Uma (검색결과 34 건)
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Ghorpade, Uma V.,Suryawanshi, Mahesh P.,Shin, Seung Wook,Wang, Xiaoming,Jo, Eunae,Bae, Hyojung,Park, KuSung,Ha, Jun-Seok,Kolekar, Sanjay S.,Kim, Jin Hyeok The Royal Society of Chemistry 2018 Journal of materials chemistry. A, Materials for e Vol.6 No.40
<P>Recently, emerging Cu-Sb-S-based compounds have been identified as an attractive candidate for photovoltaic (PV) applications because of their high natural abundance, eco-friendly features and typical phase-dependent characteristics. Herein, a simple eutectic solvent-mediated (choline chloride/ethylene glycol) synthetic approach for newly debuted Cu-Sb-S-based nanocrystals (NCs) with phase-selective properties is presented. This combination of material and preparation method may promote the exchange of carriers by avoiding a steric hindrance for a facile charge transport encountered in NCs prepared using amines, thiols, hydrazines and phosphine oxide solvents. A temperature-dependent study of an ethaline-based deep eutectic solvent (DES) is conducted to elucidate the characteristics of associated chemical shifts and vibrations and to determine changes in hydrogen bonding interactions using structural and thermal analytical techniques. The results suggest that ethaline is a strong candidate as a greener solvent for the synthesis of NCs at relatively low temperatures. The electronic structures of all four Cu-Sb-S phases-Cu3SbS4, CuSbS2, Cu3SbS3, and Cu12Sb4S13-were simulated using the Vienna <I>ab initio</I> Simulation (VASP) code, projector augmented-wave (PAW) potentials and the hybrid functional method (HSE 06) and using density functional theory for combined theoretical and experimental studies. Discrepancies between the experimental and theoretical bandgap values of 0.29, 0.18, 0.12 and 0.16 eV were observed for Cu3SbS4, CuSbS2, Cu3SbS3 and Cu12Sb4S13 compounds, respectively. A photoelectrochemical (PEC) water reduction system with a Mo/photoelectrode/CdS/Pt/electrolyte configuration generated a cathodic photocurrent of −1.28 and −2.72 mA cm<SUP>−2</SUP> for Cu3SbS4 and CuSbS2 electrodes, respectively, at 0 V <I>versus</I> the reversible hydrogen electrode (VRHE) under AM 1.5 G illumination, demonstrating the great potential of NCs prepared <I>via</I> eutectic solvent-mediated synthesis. This is the first successful attempt to apply eutectic solvent-mediated Cu-Sb-S NCs for solar driven H2 production. These outcomes suggest that designing proper functional materials through the application of greener synthesis strategies can improve water-splitting performance and would help meet the perpetual technological need for greener methods.</P>
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( Uma S P Sinha ),( Susmita Das ),( Manoj K Sinha ) 한국잠사학회 2012 International Journal of Industrial Entomology Vol.25 No.1
An experiment was carried out to boost the production of tasar crops through application of secondary nutrients. Different combinations of secondary nutrients were prepared and its effect was studied on the yield and quality of leaves of tasar food plant Terminalia tomentosa W & A with 2.4 m × 2.4 m spacing and cocoon characters of tasar silkworm Antheraea mylitta Drury reared on them. Among different combinations of secondary nutrients, foliar application of magnesium sulphate (2%, w/v) and basal application of 3 quintal / ha of calcium carbonate (secondary nutrient combination SM5) was found to be the best in crop improvement. It improves the quantity and quality of leaves as well as the commercial characters of cocoons. As a result, silk production improves. Under this combination, leaf yield increased by 26.55% in comparison to control. Average increase in moisture, total mineral, crude protein and total carbohydrate was 3.26%, 20.84%, 15.39% and 17.85% respectively as compared with control. Further, bio assay studies revealed thataverage larval weight, E.R.R., cocoon weight, shell weight and silk ratio percent increased by 11.25%, 25.71%, 20.05%, 35.14% and 12.17% respectively over control which indicates that secondary nutrient combination SM5 has significant role in improving the production of tasar crops.
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1. A Study of Epilepsy Prediction using Machine Learning methods
( S. Ramya ),( M. Uma ) 한국감성과학회 2021 한국감성과학회 국제학술대회(ICES) Vol.2021 No.-
One of the most chronic neurological illnesses is epilepsy that causes unprovoked, recurrent seizures [1]. Seizures are caused by sudden disturbances in the electrical activity of the brain. Over 70 million people are affected worldwide by this chronic disorder [1]. The occurrence of seizure can cause severe disorders in behavior, emotions, jerks in movements, unconsciousness of subjects and can lead to sudden death or injury. An efficient modality that acquires the brain signal is Electroencephalography (EEG). The signals are recorded from the cerebral cortex of the brain. There are two ways of procuring the bio potential signals from the brain i) invasive and ii) non-invasive techniques. Invasive technique is implanting electrodes inside the brain which is also called iEEG (intracranialElectroEncephalography). In this technique electrodes are placed very close to the skull so the unwanted noise can be eliminated and the signals acquired are more effective. In non-invasive technique the dry or wet electrodes are placed on the scalp normally said as scalp EEG. In this technique the signals collected are preprocessed and the artifacts should be removed to improve the accuracy of prediction of Epilepsy. However, the subject may not have any inconvenience of placing the electrodes invasively. The traditional way of predicting EEG signals is mostly error prone or takes more time for the medical practitioners to analyze the data. Hence automation is significant to enhance a quality of living in subjects with epilepsy. ML leverages many automations in the field of health care which ease the patient’s diagnosis and prediction. This paper reviews the recent trends in developing a Machine Learning model for efficient prediction of epilepsy. The paper also highlights the various techniques involved in Classifying and detecting Epileptic Seizure (ES), challenges and future directions involved in analyzing EEG signals.
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Seismic design of beam-column joints in RC moment resisting frames - Review of codes
Uma, S.R.,Jain, Sudhir K. Techno-Press 2006 Structural Engineering and Mechanics, An Int'l Jou Vol.23 No.5
The behaviour of reinforced concrete moment resisting frame structures in recent earthquakes all over the world has highlighted the consequences of poor performance of beam column joints. Large amount of research carried out to understand the complex mechanisms and safe behaviour of beam column joints has gone into code recommendations. This paper presents critical review of recommendations of well established codes regarding design and detailing aspects of beam column joints. The codes of practice considered are ACI 318M-02, NZS 3101: Part 1:1995 and the Eurocode 8 of EN 1998-1:2003. All three codes aim to satisfy the bond and shear requirements within the joint. It is observed that ACI 318M-02 requires smaller column depth as compared to the other two codes based on the anchorage conditions. NZS 3101:1995 and EN 1998-1:2003 consider the shear stress level to obtain the required stirrup reinforcement whereas ACI 318M-02 provides stirrup reinforcement to retain the axial load capacity of column by confinement. Significant factors influencing the design of beam-column joints are identified and the effect of their variations on design parameters is compared. The variation in the requirements of shear reinforcement is substantial among the three codes.
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1. A Study of Epilepsy Prediction using Machine Learning methods
( S. Ramya ),( M. Uma ) 한국감성과학회 2021 추계학술대회 Vol.2021 No.0
One of the most chronic neurological illnesses is epilepsy that causes unprovoked, recurrent seizures [1]. Seizures are caused by sudden disturbances in the electrical activity of the brain. Over 70 million people are affected worldwide by this chronic disorder [1]. The occurrence of seizure can cause severe disorders in behavior, emotions, jerks in movements, unconsciousness of subjects and can lead to sudden death or injury. An efficient modality that acquires the brain signal is Electroencephalography (EEG). The signals are recorded from the cerebral cortex of the brain. There are two ways of procuring the bio potential signals from the brain i) invasive and ii) non-invasive techniques. Invasive technique is implanting electrodes inside the brain which is also called iEEG (intracranialElectroEncephalography). In this technique electrodes are placed very close to the skull so the unwanted noise can be eliminated and the signals acquired are more effective. In non-invasive technique the dry or wet electrodes are placed on the scalp normally said as scalp EEG. In this technique the signals collected are preprocessed and the artifacts should be removed to improve the accuracy of prediction of Epilepsy. However, the subject may not have any inconvenience of placing the electrodes invasively. The traditional way of predicting EEG signals is mostly error prone or takes more time for the medical practitioners to analyze the data. Hence automation is significant to enhance a quality of living in subjects with epilepsy. ML leverages many automations in the field of health care which ease the patient’s diagnosis and prediction. This paper reviews the recent trends in developing a Machine Learning model for efficient prediction of epilepsy. The paper also highlights the various techniques involved in Classifying and detecting Epileptic Seizure (ES), challenges and future directions involved in analyzing EEG signals.
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Sinha, Uma S.P.,Das, Susmita,Sinha, Manoj K. Korean Society of Sericultural Science 2012 International Journal of Industrial Entomology Vol.25 No.1
An experiment was carried out to boost the production of tasar crops through application of secondary nutrients. Different combinations of secondary nutrients were prepared and its effect was studied on the yield and quality of leaves of tasar food plant Terminalia tomentosa W & A with 2.4 m ${\times}$ 2.4 m spacing and cocoon characters of tasar silkworm Antheraea mylitta Drury reared on them. Among different combinations of secondary nutrients, foliar application of magnesium sulphate (2%, w/v) and basal application of 3 quintal/ha of calcium carbonate (secondary nutrient combination SM5) was found to be the best in crop improvement. It improves the quantity and quality of leaves as well as the commercial characters of cocoons. As a result, silk production improves. Under this combination, leaf yield increased by 26.55% in comparison to control. Average increase in moisture, total mineral, crude protein and total carbohydrate was 3.26%, 20.84%, 15.39% and 17.85% respectively as compared with control. Further, bio assay studies revealed that average larval weight, E.R.R., cocoon weight, shell weight and silk ratio percent increased by 11.25%, 25.71%, 20.05%, 35.14% and 12.17% respectively over control which indicates that secondary nutrient combination $SM_5$ has significant role in improving the production of tasar crops.
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Sreelatha, S.,Dinesh, E.,Uma, C. Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.6
In recent years there has been a substantial increase in the use of functional foods for disease control. Fruits and vegetables produce phytochemicals such as flavonoids and antioxidants which can lower oxidative stress and reduce the risk of chronic ailments like cancer. The aim of the present study was to investigate the antioxidant capacity and the possible protective effects of Amaranthus paniculatus leaves on the antioxidant defense system in Ehrlich's ascites carcinoma (EAC)-treated mice. Oral administration of the leaf extract at different doses caused a significant decrease in tumor volume, viable cell count and tumor weight and elevated the life span of EAC bearing mice. It also showed an improved antioxidant potential as evidenced by a significant increase in the cellular antioxidant defense system such as catalase, superoxide dismutase and reduced glutathione and also significantly reduced the levels of TBARS. The levels of RBC, hemoglobin and lymphocyte count were altered in EAC bearing mice and were reverted back to near normal levels after the treatment with the leaf extracts. Their adequate content of total phenolics and flavonoids, DPPH scavenging activity which further suggests that the extracts exert a significant protection against oxidative stress conditions.
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Expression, Purification, and Characterisation of Nesiritide Using an E. coli Expression System
Laxmi S. Rao,Milind P. Niphadkar,Dinesh Paliwal,Rakesh Shekhawat,Aruna G. Khare,S. Uma,Priti Thakur,Anjali Chutke,Neelesh Surlikar,Radhika Samant,Sagar Zawar 한국생물공학회 2011 Biotechnology and Bioprocess Engineering Vol.16 No.4
Nesiritide, the recombinant human brain natriuretic peptide, is involved in the regulation of cardiovascular homeostasis and has been approved for treatment of patients with congestive heart failure. We prepared a synthetic cDNA construct of Nesiritide to generate a fusion protein with an affinity handle and 41 amino acid peptide of β-galactosidase. The fusion protein was expressed mainly in the inclusion bodies and accounted for approximately 20% of total cellular protein. After purification by Ni-IDA affinity chromatography and renaturation, the fusion protein was cleaved with purified recombinant enterokinase. Nesiritide was purified by pH precipitation/ion exchange chromatography followed by source phenyl chromatography to obtain protein with > 99% purity (determined by RPHPLC)and a mass of 3,464 Daltons. The potency (ED_(50))of the purified protein was equivalent to that of Natrecor (Innovator formulation). Analytical methods were developed to identify oxidised, reduced and other related impurities. The expression strategy described in this work allows the convenient generation of high yield Nesiritide and enabled ease of purification.
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M. Muthusamy,S. Uma,S. Backiyarani,M. S. Saraswathi 한국식물생명공학회 2015 Plant biotechnology reports Vol.9 No.5
Long non-coding RNAs (LncRNAs) are one of the many layers of transcription in higher plants. LncRNAs are responsive to biotic and abiotic stresses and regulate genes. In our study, we have identified 905 novel lncRNAs from 8471 drought-responsive, novel transcripts of RNASeq reads from two banana cultivars, a drought-tolerant cv. ‘Saba’ (ABB) and -susceptible cv. ‘Grand Naine’ (AAA). Of these 905 lncRNAs, 75 (8.3 %) transcripts were natural antisense RNAs (NATs) and 2 transcripts identified as precursors of microRNA-miR156 and miR166. Among the 905 identified lncRNAs, 216, 150 and 279, 164 lncRNAs were induced and reduced to drought stress, respectively, in tolerant and susceptible in comparison to their equivalent controls. The remaining 22 lncRNA of tolerant cultivars was not regulated by drought stress. Of the 882 drought-responsive lncRNAs, 44 new lncRNAs were identified as induced. Musa lncRNAs were unevenly distributed in 11 chromosomes of Musa acuminata and no lncRNAs were found in chromosome-9 of drought-tolerant cultivar. The average lengths of lncRNAs were 683 nucleotides (nt). Drought-responsive differential expression of lncRNAs was found between +8.11585- and -4.04311-fold. Around 7.9 % of the identified lncRNAs were decoys of 85 conserved microRNAs. These findings will lay a basic platform for effective strategic planning of developing drought-resilient crop varieties.
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