ID: 64990
Title: Weed management
Author: J. S. Mishra, V. K. Choudhary and Sushilkumar
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (7) 717-718 (2023)
Subject: Weed management
Keywords: Weed management
Abstract: An international conference was organized
to tackle the enormous losses caused by
weeds in different agroecosystems and to
discuss the future weed management strategies. More than 500 delegates, including
eminent scientists, academicians, students,
personnel from the pesticide industry and
progressive farmers, participated in it. The
conference aimed to share knowledge and
ideas on available technologies for managing
weeds in different agroecosystems and gain
input on addressing emerging challenges.
Location: T E 15 New Biology building
Literature cited 1:
Literature cited 2:
ID: 64989
Title: Real-time hybrid simulation in the Pseudo-Dynamic Testing Facility at the Indian Institute of Technology Kanpur
Author: Hironmoy Kakoty , Chinmoy Kolay, Shubham Raj and Kamal K. Kar
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 685-691 (2023)
Subject: Real-time hybrid simulation in the Pseudo-Dynamic Testing Facility at the Indian Institute of Technology Kanpur
Keywords: Adaptive time series compensator, earthquake response, numerical damping, real-time hybrid simulation, viscoelastic damper.
Abstract: Real-time hybrid simulation (RTHS) is a state-of-the-art,
accurate, affordable method for simulating seismic effects
on structures with loading rate-dependent behaviour.
In RTHS, a part of the system that cannot be accurately
modelled numerically is simulated experimentally in the
laboratory, and the rest numerically. The response of
the hybrid system is obtained in real-time by solving the
governing equations of motion. This communication
demonstrates an implementation of RTHS in the Pseudo
Dynamic Testing Facility at IIT Kanpur and its application to seismic response simulation of a two-storey reinforced concrete special moment-resisting frame building
with in-house-built nonlinear viscoelastic dampers.
Location: T E 15 New Biology building
Literature cited 1: Rai, D. C., Jain, S. K., Murty, C. V. R. and Bansal, D., Large capacity reaction floor–wall assembly for pseudo-dynamic testing at IIT
Kanpur and its load rating. Curr. Sci., 2014, 106(1), 93–100.
Sharma, R., Pseudo-dynamic test on medium-scaled models of steel
braces and frames with hysteretic dampers, M.Tech. thesis, Indian
Institute of Technology, Kanpur, 2011.
Literature cited 2: Sharma, R., Sachan, A. and Rai, D. C., Correlation between pseudodynamic and shake table test on steel truss moment frames with
hysteretic dampers. In 15th World Conference on Earthquake Engineering, Lisbon, Portugal, 2012.
Kolay, C. and Ricles, J. M., Force-based frame element implementation for real-time hybrid simulation using explicit direct integration algorithms. J. Struct. Eng., 2018, 144(2), 1–13; doi:10.1061/
(ASCE)ST.1943-541X.0001944
ID: 64988
Title: Copper–gold mineralization and associated hydrothermal alteration around Suwara area, southern part of the Bundelkhand craton, Central India
Author: S. N. Rana, S. K. Ahirwar, V. P. Gaur and P. Singh
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 678-684 (2023)
Subject: Copper–gold mineralization and associated hydrothermal alteration around Suwara area, southern part of the Bundelkhand craton, Central India
Keywords: Craton, granitoids, hydrothermal alteration, mineralization, quartz reefs.
Abstract: The structurally controlled copper–gold (Cu–Au) mineralization in the Suwara area in the southern part of the
Bundelkhand craton, Central India, is hosted within
quartz reefs traversing older granitoids. Mineralization is
distinctly associated with hydrothermal alteration (potassic, chloritic and iron alteration in the ore zone and Kmetasomatism in the wall rocks). Field observations
and laboratory evidence confirm the Fe–Cu–Au association in the study area. Sulphide mineralization is represented by pyrite, chalcopyrite, covellite, chalcocite
and bornite occurring as disseminations, stringers and
specks within the altered quartz veins, with gold occurring as fine isolated disseminations within quartz and
iron oxides. Chemical analysis of surface and subsurface
samples showed promising values for Cu (up to 1.0%)
and Au (up to 450 ppb) content. Fluid inclusion studies
indicated the occurrence of saline mineral fluids (Na–
K–Cl-bearing) with the presence of H2O–CO2–CH4 in
the mineral system. Overall characteristics of the mineralization and alteration patterns of the prospect indicate
that it probably belongs to an iron oxide–copper–goldtype set-up for mineralization. The present study on
Cu–Au mineralization from the southern Bundelkhand
craton will have significant implications for further exploration and research in the area
Location: T E 15 New Biology building
Literature cited 1: Basu, A. K., Geology of parts of Bundelkhand granite massif. Rec.
Geol. Surv. India, 1986, 117(II), 61–124.
Gaur, V. P. and Shahid, M., Geology and Mineral Resources of
Bundelkhand Granitoid Complex (BGC), Special publication by
Geological Survey of India, Central Region, Nagpur, 2021
Literature cited 2: Pati, J. K., Raju, S., Mamgain, V. D. and Shankar, R., Gold mineralization in parts of Bundelkhand Granitoid Complex (BGC). J.
Geol. Soc. India, 1997, 50, 601–606.
Kumar, A., Bind, G. and Hazra, D., Magmatic-hydrothermal origin
of granite hosted Cu–Ba mineralization from southern Bundelkhand, Tikamgarh district, Madhya Pradesh, India. Curr. Sci.,
2023, 124(1), 13–17.
ID: 64987
Title: Identifying suitable digital elevation models and deriving features for landslide assessment in Idukki District, Kerala, India
Author: A. Shameem Ansar, S. Sudha and Suresh Francis
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 665-677 (2023)
Subject: Identifying suitable digital elevation models and deriving features for landslide assessment in Idukki District, Kerala, India
Keywords: Digital elevation models, geomorphological and hydrogeological features, landslide, spot height, vertical accuracy
Abstract: This study compares the vertical accuracy of different
digital elevation models (DEMs), such as Cartosat-I,
ASTER-GDEM, SRTM-GL1, ALOS3D30 and FABDEM
with a resolution of 30 m, to the toposheet-derived 264
spot heights of Idukki district, Kerala, India, obtained
from the Survey of India. We quantitatively assess the
vertical accuracy of these DEMs by analysing their accuracy against randomly selected topographic map spot
heights. The study also validates the accuracy of the
DEMs by evaluating the vertical accuracy separately
for different elevation classes representing varying terrain characteristics of the Idukki district. Statistical
measures are used to evaluate the performance of the
DEMs. The results of the study show that FABDEM
exhibits an RMSE of 41.79 m, which is lower than that
of other models. The study utilizes FABDEM to derive
a set of 12 geomorphological and hydrogeological features, including slope, aspect, elevation, profile curvature,
plan curvature, distance to road, relative relief, ruggedness index, drainage density, height above near drainage,
wetness index and stream power index. The characteristics of various parameters are analysed. The uniqueness
of this study lies in its utilization of geomorphological
and hydrogeological features derived from FABDEM
that directly impact the susceptibility of landslides in
the region. The study identifies that a combination of these
dynamic and static parameters, which vary with elevation classes, plays a significant role in determining
landslide occurrence in this region.
Location: T E 15 New Biology building
Literature cited 1: Daya Sagar, B. S., Digital elevation models: an important source of
data for geoscientists. IEEE Geosci. Remote Sensing Mag., 2020,
8(4), 138–142.
Coveney, S., Association of elevation error with surface type, vegetation class and data origin in discrete-returns airborne LiDAR. Int.
J. Geogr. Inf. Sci., 2013, 27(3), 467–483.
Literature cited 2: Mesa-Mingorance, J. L. and Ariza-Lopez, F. J., Accuracy assessment of digital elevation models (DEMs): a critical review of practices of the past three decades. Remote Sensing, 2020, 12(16),
2630.
Mohammed Al Balasmeh, O. I. and Karmaker, T., Accuracy assessment of the digital elevation model, digital terrain model
(DTM) from aerial stereo pairs and contour maps for hydrological
parameters. Appl. Geomat. Civ. Eng., 2019, 461–470.
ID: 64986
Title: Occurrences of high-K calc-alkaline shoshonitic granitoids in the Northeastern part of Shillong Plateau, Meghalaya, India
Author: M. Faruque Hussain and Debjani Choudhury
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 655-664 (2023)
Subject: Occurrences of high-K calc-alkaline shoshonitic granitoids in the Northeastern part of Shillong Plateau, Meghalaya, India
Keywords: Calc-alkaline rocks, continental collision, felsic shoshonites, geochemistry, magma evolution.
Abstract: Shoshonitic rocks represent the transition between calcalkaline and alkaline rocks, often formed during the
last stages of uplift in zones of continental collision. This
study describes the characterization of Kyrdem granitoids of Shillong plateau, Meghalaya, North East India, as
felsic shoshonites. The study also documents petrogenesis
of the shoshonites and suggests significant magma mixing and crust–mantle melt interaction as prime mechanisms for parental magma evolution. Crustal melt has
most probably been sourced from a metabasaltic middle
crust, while the mantle source is represented by an enriched sub-continental lithospheric mantle, metasomatized by sediment melt, during an earlier subduction event.
Location: T E 15 New Biology building
Literature cited 1: Perkins, R. J., Cooper, F. J., Condon, D. J., Tattitch, B. and Naden,
J., Post-collisional Cenozoic extension in the northern Aegean: the
high-K to shoshonitic intrusive rocks of the Maronia Magmatic
Corridor, northeastern Greece. Lithosphere, 2018, 10, 582–601.
Rezeau, H., Leuthold, J., Tayan, R., Hovakimyan, S., Ulianov, A.,
Kouzmanov, K. and Moritz, R., Incremental growth of mid- to uppercrustal magma bodies during Arabia–Eurasia convergence and collision: a petrological study of the calc-alkaline to shoshonitic MeghriOrdubad pluton (southern Armenia and Nakhitchevan, Lesser Caucasus). J. Petrol., 2018, 59, 93
Literature cited 2: Ding, L. X., Ma, C. Q., Li, J. W., Robinson, P. T., Deng, X. D.,
Zhang, C. and Xu, W. C., Timing and genesis of the adakitic and
shoshonitic intrusions in the Laoniushan complex, southern margin
of the North China Craton: implications for post-collisional magmatism associated with the Qinling Orogen. Lithos, 2011, 126,
212–232.
Beccaluva, L., Bianchini, G., Mameli, P. and Natali, C., Miocene
shoshonite volcanism in Sardinia: implications for magma sources
and geodynamic evolution of the central western Mediterranean.
Lithos, 2013, 180, 128–137.
ID: 64985
Title: Evaluating the performance of crop yield forecasting models coupled with feature selection in regression framework
Author: Manoj Varma, Achal Lama, K. N. Singh and Bishal Gurung
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 649-654 (2023)
Subject: Evaluating the performance of crop yield forecasting models coupled with feature selection in regression framework
Keywords: Crop yield, feature selection, prediction models, regression framework, statistical measures, weather indices
Abstract: As crop yield is determined by numerous input parameters, it is important to identify the most important
variables/parameters and eliminate those that may reduce the accuracy of the prediction models. The feature
selection algorithms assist in selecting only those relevant features for the prediction algorithms. Instead of
a complete set of features, feature subsets give better
results for the same algorithm with less computational
time. Feature selection has the potential to play an important role in the agriculture domain, with the crop
yield depending on multiple factors such as land use,
water management, fertilizer application, other management practices and weather parameters. In the present study, feature selection algorithms such as forward
selection, backward selection, random forest (RF) and
least absolute shrinkage and selection operator (LASSO)
have been applied to three different datasets. Regression forecasting models have been developed with selected features for all the algorithms. The forecasting
performance of the proposed models was compared using statistical measures such as root mean square error,
mean absolute prediction error and mean absolute deviation. A comparison was made among all the feature
selection algorithms. The regression models developed
with LASSO, RF and backward selection algorithms
were the best for different datasets.
Location: T E 15 New Biology building
Literature cited 1: Singh, K. N., Singh, K. K., Kumar, S., Panwar, S. and Gurung, B.,
Forecasting crop yield through weather indices through LASSO.
Indian J. Agric. Sci., 2019, 89, 540–544.
Agrawal, R., Jain, R. C. and Jha, M. P., Joint effects of weather
variables on wheat yields. Mausam, 1983, 34, 189–194.
Literature cited 2: Agrawal, R., Has, C. and Aditya, K., Use of discriminant function
analysis for forecasting crop yield. Mausam, 2012, 63(3), 455–458.
Springenberg, J., Dosovitskiy, A., Brox, T. and Riedmiller, M.,
Striving for simplicity: the all convolutional net. In 2nd International Conference on Learning Representations, ICLR2014, Banff, AB,
Canada, 14–16 April 2014, pp. 1–14; https://arxiv.org/abs/1412.6806.
ID: 64984
Title: Analysis of factors promoting the usage of electronic National Agriculture Market in Rajasthan, India
Author: Sushmita Saini, Basavaprabhu Jirli and Smruti Ranjan Padhan
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 643-648 (2023)
Subject: Analysis of factors promoting the usage of electronic National Agriculture Market in Rajasthan, India
Keywords: Agriculture, electronic market, factor analysis, information and communication technology, principal component analysis
Abstract: Information and communication technology (ICT) can
improve the value and supply chain for agriculture.
The post-harvest value chain is still extensive in India,
and farmers frequently do not get a reasonable share
of the profit. Despite greater procurement by the state
and federal Government agencies as well as players in
the private sector, the vast majority of farmers continue
to get the short end of the stick. The present study focuses
on the factors promoting the usage of the electronic
National Agriculture Market (e-NAM) in Rajasthan,
India. The significant P-values in KMO and Bartlett’s
test indicate that researchers can proceed with the factor
analysis. Using principal component analysis, it was
found that the well-known functionalities of e-NAM included virtual highlights, capacity-building amenities,
e-bidding design features, value-addition modules and
e-logistics features, which encouraged stakeholders to
sell their products across the Indian states using digital
platforms in order to achieve higher prices compared
to traditional markets. The supply chain has been
shortened due to e-NAM, which connects the physical
markets of multiple states on a virtual stage using ICT.
Location: T E 15 New Biology building
Literature cited 1: Aker, J. C., Ghosh, I. and Burrell, J., The promise (and pitfalls) of
ICT for agriculture initiatives. Agric. Econ., 2016, 47(S1), 35–48.
WB, ICT in Agriculture: Connecting Smallholders to Knowledge,
Networks, and Institutions, World Bank, Washington DC, USA, 2011
Literature cited 2: FAO, Information and communication technology (ICT) in agriculture: a report to the G20 agricultural deputies, Food and Agriculture Organization of the United Nations, Rome, Italy, 2017.
. Saini, S. and Jirli, B., Extent of utilization of information and
communication technology (ICT) in the agricultural marketing by
farmers and traders in Tonk and Dausa Districts of Rajasthan.
J. Commun. Mobil. Sustain. Dev., 2022, 17, 153–157
ID: 64983
Title: Irrigation scheduling based on canopy temperature and soil moisture status
Author: Gurleen Kaur, Vandna Chhabra and S. Sreethu
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 635-642 (2023)
Subject: Irrigation scheduling based on canopy temperature and soil moisture status
Keywords: Canopy temperature, irrigation scheduling, remote sensing, soil moisture, water stress
Abstract: Issues of water availability and quality are major concerns under the climatic change scenarios. For sustainable agriculture, improved irrigation techniques can
play a crucial role in the conservation of water and increase crop production. This article delineates the necessity of irrigation scheduling based on sound scientific
principles. To effectively manage irrigation and crop
water requirements, all irrigation scheduling methods
should focus on a soil-plant-atmosphere approach.
Location: T E 15 New Biology building
Literature cited 1: https://www.worldbank.org/en/topic/water-in-agriculture (accessed
on 15 March 2022).
Jain, R., Kishore, P. and Singh, D. K., Irrigation in India: status,
challenges, and options. J. Soil Water Conserv., 2019, 18(4), 354–363.
Literature cited 2: Amarasinghe, U. A., Shah, T., Turral, H. and Anand, B. K., India’s
water future to 2025–2050: business-as-usual scenario and deviations. IWMI Research Report 123, International Water Management
Institute, Colombo, Sri Lanka, 2007, p. 47.
Jones, J. W., Irrigation scheduling: advantages and pitfalls of
plant-based methods. J. Exp. Bot., 2004, 55(407), 2427–2436.
ID: 64982
Title: Long-term ecological monitoring and observation: a review in the context of Indian Himalaya
Author: Vikram S. Negi, Suresh K. Rana, Bhawana Dangwal, Shinny Thakur, K. Chandra Sekar and I. D. Bhatt
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 623-634 (2023)
Subject: Long-term ecological monitoring and observation: a review in the context of Indian Himalaya
Keywords: Alpine ecosystem, biodiversity conservation, forest management, Himalaya, long-term ecological monitoring, long-term observations
Abstract: Long-term experiments are essential in understanding
the ecological consequences of global land use and climate change. Further, it is well established that Longterm data sets are prerequisites for effective management
of forest resources and biodiversity conservation. In
view of this, the present study attempts to contribute to
major global long-term ecological monitoring (LTEM)
networks and the status of LTEM studies in India with
a special focus on Indian Himalayan Region. Over the
last 40 years, around 103 countries from the America,
Europe, Africa, Asia and Australia have been engaged
in LTEM studies on various aspects of biodiversity, monitoring and predicting climate change impacts in a
range of ecosystems, including the mountains. The
temporal distribution of past studies on the subject
shows a gradual increasing pattern (3 papers in 1992)
with a peak during 2021 (105 papers). The established
LTEM networks across the globe provide a significant
empirical basis for understanding ecosystem structure
and dynamics. Literature indicates plenty of permanent monitoring plots from India, mostly from southern
India, and their significant contribution to ecosystem
understanding. Himalayan regions are important sites
for monitoring biological and socio-ecological responses
to environmental perturbations, including climate change.
LTEM studies are lacking in the IHR; only a few sites
have been established, mostly in alpine ecosystems. This
review identifies research gaps, opportunities with respect
to LTEM studies, and the possibilities for strengthening long-term research and observation in India in
general and the Himalaya in particular.
Location: T E 15 New Biology building
Literature cited 1: Lindenmayer, D. B. et al., Value of long‐term ecological studies.
Austral Ecol., 2012, 37(7), 745–757.
Cusser, S., Helms, I. V., Bahlai, C. A. and Haddad, N. M., How
long do population level field experiments need to be? utilising data
from the 40‐year‐old LTER network. Ecol. Lett., 2021, 24(5), 1103–
1111.
Literature cited 2: Lindenmayer, D., Burns, E., Thurgate, N. and Lowe, A. J., The value of
long-term research and how to design effective ecological research
and monitoring. In Biodiversity and Environmental Change: Monitoring, Challenges and Direction (eds Lindenmayer, D. et al.),
CSIRO Publishing, Melbourne, 2014.
Haase, P. et al., The next generation of site-based long-term ecological
monitoring: linking essential biodiversity variables and ecosystem
integrity. Sci. Total Environ., 2018, 613, 1376–1384.
ID: 64981
Title: Strategies for strengthening farmer producer organizations in India based on the One District One Product scheme
Author: Shreya Anand, Souvik Ghosh and Anirban Mukherjee
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 614-622 (2023)
Subject: Strategies for strengthening farmer producer organizations in India based on the One District One Product scheme
Keywords: Agriculture, cash crops, conceptual model, farmer producer organizations, Government schemes.
Abstract: Farmer producer organizations (FPOs) have been pivotal in empowering Indian agriculture in recent years. The Government of India has taken several steps to help in the growth of FPOs. For example, it has initiated the ‘One District One Product’ (ODOP) scheme. In each district of the states,
major commodities are identified which can be promoted through FPOs. The present study focuses
on the experiences in Bihar, where abundant production of cash crops like makhana (about 85% of
the world’s production) has been achieved by the farmers (about 50,000 t of makhana). Despite the
huge demand, makhana has been lagging in exports due to a lack of quality produce, skill, mechanization in harvesting and processing, and a near absence of value addition. In this context, integration of
the ODOP scheme with FPOs can be a potential option to combat production constraints, facilitate
marketing and export of the produce. This study proposes a strategy using a conceptual model, viz.
technology–infrastructure–policy–export orientation (TIPE) model, that specifies the steps to be undertaken for better promotion of products through FPOs. A congenial ecosystem is necessary for the
growth of producer organizations to provide a comprehensive solution with required policy backup
and triggering factors that can contribute to the sustainable development of FPOs.
Location: T E 15 New Biology building
Literature cited 1: FAO, Sustainable agriculture and rural development. Policy Brief,
Food and Agriculture Organization, Rome, Italy, 2007, pp. 1–3.
Ahmad, L., Habib Kanth, R., Parvaze, S. and Sheraz Mahdi, S.,
Agro-climatic and agro-ecological zones of India. In Experimental
Agrometeorology: A Practical Manual, Springer, Cham, Switzerland, 2017, pp. 99–118; https://doi.org/10.1007/978-3-319-69185-
5_15
Literature cited 2: Evenson, R. E. and Gollin, D., Assessing the impact of the Green
Revolution, 1960 to 2000. Science, 2003, 300(5620), 758–762.
Bachke, M. E., Are farmers’ organizations a good tool to improve
small-scale farmers’ welfare? In Paper presented at the II Conferencia
do IESE ‘Dinamicas da Pobreza e Padrões de Acumulação em
Moçambique’, Maputo, 2009, pp. 4–29.
ID: 64980
Title: Machine learning-based approach on PRISMA data for mapping Nidar ophiolites in Ladakh, India
Author: Arya pratap singh, Mamta chauhan, Koyel sur ananya srivastava, Prakash chauhan, Richa u. sharma
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 604-607 (2023)
Subject: Machine learning-based approach on PRISMA data for mapping Nidar ophiolites in Ladakh, India
Keywords: Machine learning-based approach, PRISMA data, mapping Nidar ophiolites in Ladakh, India
Abstract: Classification of minerals based on spectral
signatures from satellite-based hyperspectral sensors are crucial for understanding the
geology of a region. Machine learning
(ML) techniques have proven to perform
flawlessly in remote sensing, as they reduce
tedious human efforts by automating calculations. Further, ML helps to distinguish
various classes, irrespective of noise present in the data. In the present study, we
employed ML-based classification techniques on hyperspectral data from the recently
launched (March 2019) PRISMA (PRecursore IperSpettrale della Missione Applicativa) mission by the Italian Space Agency
(ASI, Rome, Italy), to assess their accuracy
in the lithological mapping of ophiolites.
These are a distinct variety of igneous rock
assemblages comprising ultramafic, mafic
and volcanic lithology representing fragments of oceanic crust and the underlying
mantle
. With diverse mineralogy and sampling of the mantle, ophiolites are known
for hosting high-temperature and pressure
minerals, including economically important
diamonds and chromites, and serve as excellent probes to study the deep-mantle
processes
. Further, the association of ophiolites with collisional orogenic belts provides significant information about major
tectonic events on Earth.
Location: T E 15 New Biology building
Literature cited 1: Chauhan, M. et al., In 53rd Lunar and Planetary Science Conference, Woodland, Texas,
USA, No. 1901, 7–11 March 2022.
Thakur, V. C. and Misra, D. K., Tectonophysics, 1984, 101, 2
Literature cited 2: Thakur, V. C., Proc. Indian Acad. Sci., Earth
Planet. Sci., 1990, 99, 169–185.
Honegger, K. et al., Earth Planet. Sci. Lett.,
1982, 60, 253–292
ID: 64979
Title: Label-free electrochemical immunoprobe for dengue infection marker detection
Author: Pandiyaraj kanagavalli, Murugan veerapandian
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 602-604 (2023)
Subject: Label-free electrochemical immunoprobe for dengue infection marker detection
Keywords: Label-free electrochemical immunoprobe, dengue infection marker detection
Abstract: Mosquito-borne flavivirus dengue infection
is the major cause of consecutive epidemics
in the tropical and subtropical regions of
the world. The World Health Organization
has estimated nearly 100–400 million dengue
cases every year1
. Epidemiological study
suggests that from 1998 to 2014 there has
been high incidence of dengue in Pondicherry (372.92), Dadra Nagar Haveli
(176.31) and Delhi (102.15). Likewise,
states of Punjab, Gujarat, Karnataka, Kerala,
Tamil Nadu and Orissa were reported to
have high dengue incidence in the range
21 and 50 per million2
. Recent data also
documented that 110,473 dengue cases
were observed in India between January
and October 2022. Mild fever to life-threatening dengue hemorrhagic fever (DHF)
and dengue shock syndrome (DSS) can
cause failure in the circulatory system and
liver function3
, which implies a need for
rationalized treatments to reduce the mortality rate.
Location: T E 15 New Biology building
Literature cited 1: Mutheneni, S. R., Morse, A. P., Caminade,
C. and Upadhyayula, S. M., Emerg. Microbes Infect., 2017, 6, 1–10.
Chakravarti, A., Matlani, M., Kashyap, B.
and Kumar, A., Indian J. Med. Microbiol.,
2012, 30, 222–226.
Literature cited 2: Anusha, J. R., Kim, B. C., Yu, K. H. and
Raj, C. J., Biosens. Bioelectron., 2019, 142,
111511.
Lapphra, K. et al., Diagn. Microbiol. Infect.
Dis., 2008, 60, 387–391.
ID: 64978
Title: Potential of nanotechnology in agriculture and food production: a frontier for sustainable development
Author: Deepak Singh and Nisha Singh
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 600-601 (2023)
Subject: Potential of nanotechnology in agriculture and food production: a frontier for sustainable development
Keywords: Potential of nanotechnology,agriculture and food production,Sustainable development
Abstract: Nanotechnology emerges, poised to transform agriculture and food production. Nanoparticles and nanodevices
show promise as pesticides, fertilizers and additives. Benefits encompass enhanced nutrient absorption, precise
pesticide delivery, functional foods and extended shelf life. Yet, challenges linger, like environmental concerns,
regulatory gaps, cost limitations and public apprehension. The path forward involves rigorous safety assessments, ethical considerations and sustainable practices. A future of nanotech in agriculture hinges on balancing
innovation with careful vigilance, ensuring welfare for society and the planet.
Location: T E 15 New Biology building
Literature cited 1:
Literature cited 2:
ID: 64977
Title: Impact of climate change in the rural landscape of Central Himalaya
Author: R. K. Maikhuri, Vidhu Gupta, Ravindra Rawat, Chandi Prasad Semwal, Girish Chandra Bhatt and Harendra Rawat
Editor: S.K. Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 125 (6) 597-598 (2023)
Subject: Impact of climate change in the rural landscape of Central Himalaya
Keywords: Impact of climate change, rural landscape of Central Himalaya
Abstract: A workshop was held recently on the ethnic
communities and their traditional knowledge system (TKS) regarding climate
change adaptation, particularly in the rural
landscape of Central Himalaya. It is well
known that until recently, indigenous local
knowledge (ILK) or TKS based on centuries-long natural experiments has helped
local communities adapt and mitigate the
impact of natural disasters, climate change
and the sustainable management of natural
resources to a large extent. The workshop
offered a platform for sharing experiences
regarding climate change and its impact in
diverse sectors of the rural ecosystem,
such as agriculture, livestock, forest and
water resources, and how traditional communities inhabiting this region are adapting
and building resilience to meet the challenges of climate change using their ILK/TKS.
Location: T E 15 New Biology building
Literature cited 1: Dubey, B., Yadav, R. R., Singh, J. and
Chaturvedi, R., Curr. Sci., 2003, 85(8),
1135–1136.
Literature cited 2:
ID: 64976
Title: Soaking up the winter Sun
Author: Bernward Janzing
Editor: Jorg-Rainer Zimmermann
Year: 2020
Publisher: Deutsche Windtechnik AG
Source: ENVIS, CES & EWRG, CES
Reference: New Energy, Issue No.3&4 38-42 (2020)
Subject: Soaking up the winter Sun
Keywords: Soaking up, winter Sun, Switzerland, electricity
Abstract: The unexpected favorite to win the race is now the city of Zurich's electric utility EWZ: in July, the company hopes to begin construction of the first solar farm to be installed on a dam in the Swiss High Alps. Over 1,200 PV modules with a combined capacity of 410 kilowatts (kW) will be installed on the wall of the Albigna reservoir in the canton of Graubunden, an altitude of just over 2, 200 meters, after local authorities approved the project in April. It originally seemed that EWZ would be beaten to the punch by energy company Axpo, which is planning a 2-megawatt (MW) solar farm on the Muttsee dam in the Glarus Alps, almost 2, 500 meters above sea level, but this project will not begin until next year.
Location: T E 15 New Biology building
Literature cited 1:
Literature cited 2: