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Showing papers by "North Eastern Hill University published in 2022"


Journal ArticleDOI
TL;DR: In this article , a high-throughput protein design technique, the hotspot residues, and signatures of adaptation of Mpro having the highest probability of mutating and rendering nirmatrelvir ineffective were identified.

10 citations


Journal ArticleDOI
TL;DR: In this article , the impact of major mutations in the receptor-binding domain (RBD) of spike protein and their consequences on the binding affinity to human ACE2 through protein-protein docking and molecular dynamics simulation approaches is investigated.

9 citations


Journal ArticleDOI
TL;DR: In this paper , a hybrid DL architecture for the efficient analysis of the EEG signal is proposed. But, the proposed method is limited to real-time EEG datasets collected from the physionet biosignal database.

8 citations


Journal ArticleDOI
TL;DR: In this article , the authors investigated the bio-fabrication of polycrystalline Ag-NCs using BCE as a reducer and stabilizer under microwave irradiation.

7 citations


Journal ArticleDOI
TL;DR: In this paper , a series of mononuclear ruthenium, rhodium and iridium complexes (1-9) were characterized by analytical and spectroscopic techniques.

7 citations


Journal ArticleDOI
TL;DR: In this paper, a series of mononuclear ruthenium, rhodium and iridium complexes (1-9) were characterized by analytical and spectroscopic techniques, where they exhibited the significant antibacterial effect.

7 citations


Journal ArticleDOI
TL;DR: In this paper , the molecular binding of coronavirus disease 2019 (COVID-19) therapeutic candidate molecules to HSA and to identify their putative binding sites were investigated and the binding energies and interacting residues were used to evaluate the molecular interaction.

6 citations


Journal ArticleDOI
TL;DR: In this article , a two-state cooperative unfolding revealed by intrinsic tryptophan (Trp) fluorescence and CD spectroscopy was investigated for malate dehydrogenase (FgMDH) structure.

2 citations


Journal ArticleDOI
TL;DR: In this article , a two-step design approach is presented to realize a fractional-order proportional integral controller (FOPI) for a class of fractionalorder plant model.
Abstract: <p style='text-indent:20px;'>The approximation of the fractional-order controller (FOC) has already been recognized as a distinguished field of research in the literature of system and control. In this paper, a two-step design approach is presented to realize a fractional-order proportional integral controller (FOPI) for a class of fractional-order plant model. The design goals are based on some frequency domain specifications. The first stage of the work is focused on developing the pure continuous-time FOC, while the second stage actually realizes the FOPI controller in discrete-time representation. The presented approach is fundamentally dissimilar with respect to the conventional approaches of z -domain. In the process of realizing the FOC, the delta operator has been involved as a generating function due to its exclusive competency to unify the discrete-time system and its continuous-time counterpart at low sampling time limit. The well-known continued fraction expansion (CFE) method has been employed to approximate the FOPI controller in delta-domain. Simulation outcomes exhibit that the discrete-time FOPI controller merges to its continuous-time counterpart at the low sampling time limit. The robustness of the overall system is also investigated in delta-domain.</p>

2 citations


Journal ArticleDOI
TL;DR: In this paper, the performance of mixed-phase metal oxide photocatalysts with different molar ratios of W/Ce was analyzed and the role of distinct phase junctions of homo-/hetero-composites was identified.

2 citations


Journal ArticleDOI
TL;DR: In this article , a first principle investigation of structural, mechanical, thermodynamical, electronic, and thermoelectric properties of PdTiZ (Z = Ge and Pb) were carried out using the plane-wave pseudopotential (PP-PW) method.
Abstract: A first principle investigation of structural, mechanical, thermodynamical, electronic, and thermoelectric properties of PdTiZ (Z = Ge and Pb) were carried out using the plane-wave pseudopotential (PP-PW) method. The exchange-correlation between the electrons was considered with the generalized gradient approximation of Perdew-Burke-Ernzerhof (PBE-GGA). The energy band structure of the sample materials revealed a semiconducting energy band structure with indirect energy band gaps of .66 eV and .387 eV in PdTiGe and PdTiPb, respectively, with the density of states being mainly dominated by the p states of Z and d states of Ti atom around the vicinity of the Fermi energy level. The sample compounds were found to be mechanically and dynamically stable in their non-magnetic cubic phase. PdTiGe was found to be harder and stiffer than PdTiPb. The thermodynamic study revealed that pressure has a negative effect on heat capacity, whereas Debye temperature increases with enhanced pressure in both the sample compounds. The thermoelectric properties of the sample compounds predicted that p-type nature of the sample compounds possess better thermoelectric performance. The room temperature Seebeck coefficient (S) values were found to be 98.73 μV/K and 94.82 μV/K for PdTiGe and PdTiPb, respectively, whereas S values of 245.73 μV/K and 218.77 μV/K at 1200 K at n = 1021 cm−3. The lowest values of lattice thermal conductivity ( K L $$ {K}_L $$ ) of 2.28 W/m-K and .98 W/m-K were observed for PdTiGe and PdTiPb, respectively. The optimum dimensionless figure of merits of .66 (1200 K) and .64 (1000 K) were found for p-type PdTiGe and PdTiPb, respectively, at optimum carrier concentration.

Journal ArticleDOI
TL;DR: Using (E)-N-(pyridin-2-ylmethylene)adamantan-1-amine (L), four zinc(II) complexes, namely, [ZnL(AcO)][ClO4] (1), ZnL (NO3)2] (2), [ZlL(N3) 2] (3), and [znL 2 (AcO)] (4), have been synthesized as discussed by the authors.



Journal ArticleDOI
TL;DR: In this paper , the authors examined the effect of betulinic acid on changes in glutathione and mitochondrial membrane potential in malignant ascites Dalton's lymphoma cells to identify their involvement as the possible mechanism in its anticancer activity.
Abstract: Betulinic acid, a naturally occurring pentacyclic triterpenoid is found in a variety of plants. A range of biological properties including anticancer activity has been reported for betulinic acid. Changes in glutathione and some glutathione-related enzymes and mitochondrial membrane potential have not been explored relating to the anticancer activity of betulinic acid against murine ascites Dalton's lymphoma.The present study was undertaken to examine betulinic acid-mediated changes in glutathione and mitochondrial membrane potential in murine malignant ascites Dalton's lymphoma cells to identify their involvement as the possible mechanism in its anticancer activity. : The anticancer efficacy of betulinic acid was explored as a percentage increase in the life span (ILS) of the tumor-bearing mice. Betulinic acid-mediated changes in glutathione level, glutathione-related enzymes, succinate dehydrogenase activity, and mitochondrial membrane potential were determined in Dalton's lymphoma cells using well-established methods. In silico molecular docking study was done to know the binding affinity of betulinic acid with selected glutathione related enzymes and succinate dehydrogenase. : Betulinic acid significantly increased the life span of ascites Dalton's lymphoma-bearing hosts, thus exhibiting anticancer potential. The treatment caused a decrease in glutathione and glutathione-related enzymatic activities in DL cells. In silico molecular docking analysis revealed that betulinic acid illustrates good binding affinity with glutathione-related enzymes indicating its inhibitory potentials. Further, a decrease in mitochondrial membrane potential and succinate dehydrogenase activity was also noted after treatment. : Betulinic acid-mediated decrease in glutathione in DL cells may hamper cellular antioxidant defense potential, which could play an important causative role in exerting its anticancer activity. Further, a concurrent decrease in mitochondrial membrane potential and succinate dehydrogenase activity is also important in its anticancer activity.

Journal ArticleDOI
TL;DR: In this article , the authors present a case of a patient with inflammatory low backache who developed seizures while on low-dose oral tramadol, and only with the use of 37.5 mg oral application, the incidence of seizure happened.
Abstract: Tramadol is a weak mu (µ) opioid receptor agonist that acts by inhibiting serotonin and norepinephrine uptake. Tramadol undergoes extensive hepatic metabolism by a number of pathways, including CYP2D6 and CYP3A4, and by conjugation with subsequent renal excretion. The maximum recommended dose is 400 mg/day. One of the most important adverse effects of tramadol is a seizure, which usually occurs at high doses and is often generalized tonic–clonic type and self-limiting. Here, we present a case of a patient with inflammatory low backache who developed seizures while on low-dose oral tramadol. After 1 h of taking the first tablet of tramadol, he developed morbilliform rashes all over the body. One day later, he developed generalized tonic–clonic seizures followed by a loss of consciousness for 5 min. The patient was admitted to the hospital and managed conservatively with injection lorazepam and tramadol was stopped. In general, if applied in overdose, tramadol can only incite seizures in patients already suffering from some sort of disorder related to seizures or if it is administered along with antidepressants, alcohol, etc. But here, only with the use of 37.5 mg oral application, the incidence of seizure happened.

Posted ContentDOI
12 Jul 2022
TL;DR: In this article , the authors identified the hotspot residues and signatures of adaptation of SARS-CoV-2's main protease having the highest probability of mutating and rendering nirmatrelvir ineffective.
Abstract: Abstract Since the onset of the COVID-19 pandemic, SARS-CoV-2 has acquired numerous variations in its intracellular proteins to quickly adapt, become more infectious, and ultimately develop drug resistance by mutating certain hotspot residues. To keep the emerging variants at bay, including Omicron and subvariants, FDA has approved the antiviral nirmatrelvir for mild-to-moderate and high-risk COVID-19 cases. Like other viruses, SARS-CoV-2 could acquire mutations in its main protease (M pro ) to adapt and develop resistance against nirmatrelvir. Employing a unique high-throughput protein design technique, the hotspot residues and signatures of adaptation of M pro having the highest probability of mutating and rendering nirmatrelvir ineffective were identified. Our results show that ∼40% of the designed mutations in M pro already exist in the globally circulating SARS-CoV-2 lineages. The work provides a first-hand explanation of the resistance mutations in M pro and is crucial in comprehending viral adaptation, robust antiviral design, and surveillance of evolving M pro variations.

Journal ArticleDOI
TL;DR: In this article , the general Sombor index generalizes both the forgotten index and the SombOR index, and the bounds in terms of other important graph parameters are presented in the context of vertex-degree-based topological indices.
Abstract: In this paper, we extend the recently introduced vertex-degree-based topological index, the Sombor index, and we call it general Sombor index. The general Sombor index generalizes both the forgotten index and the Sombor index. We present the bounds in terms of other important graph parameters for general Sombor index. We also explore the Nordhaus–Gaddum-type result for the general Sombor index. We present further the relations between general Sombor index and other generalized indices: general Randić index and general sum-connectivity index.

Journal ArticleDOI
TL;DR: In this paper , the authors proposed DC-Health, a Dew Computing enabled IoT healthcare solution for offline and ultra-low latency decisions, which connects a large number of healthcare devices and provisions user-specific services even when Internet connectivity is not available.

Book ChapterDOI
15 Apr 2022
TL;DR: In this article , a new geometry called NeutroGeometry is studied to characterize heteroclinic data based on Euclidean, non-Euclidean and indeterminate zones.
Abstract: Recently, dealing the heteroclinic data and its pattern finding has been considered as one of major concern for the researchers. It becomes more complex in the case of dynamic or periodic uncertainty in data. These types of data form heteroclinic orbit, which changes the space from equilibrium to non-equilibrium and vice versa. In this case, several parallel lines can be drawn from the given point to measure the indeterminacy, which is used to be find flight paths. It means these types of data do not follow the fifth law. To deal with them, following the NeutroAlgebra, a new geometry called as NeutroGeometry is studied in this chapter to characterize them based on Euclidean, non-Euclidean, and indeterminate zones.

Book ChapterDOI
01 Jan 2022
TL;DR: In this paper , a modified ResNet was used for liver and tumor segmentation from 3D CT medical imaging datasets. But, the performance of the model was limited by the limitation of the conventional segmentation technique.
Abstract: Liver tumor segmentation is the first step to investigate severity of liver disorder. The conventional automatic segmentation methods highly depend on hand-crafted features and priori information, which are tedious and time consuming for medical images. Fully convolutional network (FCN) of the deep learning model can extract features automatically and hierarchically learning concerning layers depth. In this article, we demonstrated the application of modified ResNet for the automatic segmentation of liver and tumor segmentation from 3D CT medical imaging datasets. The FCN ResNet architecture is modified while changing the levels at encoder and decoder ends to overcome the limitation of the conventional segmentation technique. The network input and output image dimension kept the same for training and testing for the designed model. LiTS and 3Dirac data use for training and testing the model. Multifold training datasets strategy utilized. Results were evaluated quantitatively and achieved DICE 0.96 and 0.81 for liver and tumor, respectively. The modified technique will assist to interventional radiologist workflow and faster the diagnostic and therapeutic procedures.


Book ChapterDOI
24 Aug 2022
TL;DR: In this paper , the authors tried a synoptic view of the broad canvass of processes towards its integration of a primarily tribal past with modernity and economic processes into recent times.
Abstract: Northeast India may be one of the last economic backwaters of India, but it is a mosaic of diverse cultures and ethnicities. It also is one of the least urbanized of the major cultural regions of India. The entry tries a synoptic view of the broad canvass of processes towards its integration of a primarily tribal past with modernity and economic processes into recent times.

Book ChapterDOI
06 Oct 2022
TL;DR: In this article , the AHP methodology is employed to obtain the normalized OEE, which is significant for the company, by evaluating the relative significance of each performance index, i.e., availability rate, performance rate, and quality rate.
Abstract: Overall Equipment Effectiveness is a widely used and customary indicator for evaluating industrial performance. Overall Equipment Effectiveness (OEE) of a system is a metric that integrates availability, performance, and quality into a single dimension to assess how effectively a production process is functioning and what variables are holding it from getting the maximum efficiency. All control factors, i.e., availability rate, performance rate, and quality rate, are given an equal weight in the measurement of Overall Equipment Effectiveness. This assumption, however, may not be appropriate for each and every company. Analytic Hierarchy Process (AHP) methodology is employed in this study, to obtain the normalized OEE, which is significant for the company, by evaluating the relative significance of each performance index.

Journal ArticleDOI
TL;DR: In this paper , a study on the political participation at the village level by both the male and female members of Mawkynrew village in Meghalaya is presented, which highlights the participation of both the gender groups in the village and how changes have taken place over the years.
Abstract: The article is a study on the political participation at the village level by both the male and female members of Mawkynrew village in Meghalaya. Meghalaya is inhabited by three major tribes and the Khasi tribe is one of the three tribes. The political system is still based on a traditional system of political administration at all village and locality levels. This political system allows the people to elect a chief and other members for the village council’s office. Traditionally, only male members are allowed to hold the traditional office of village administration. Therefore, the article will highlight the participation of both the gender groups in the village and how changes have taken place over the years. The paper will also attempt to study the factors or determinants that are influencing gender participation in the political system of the village, particularly that of the women in the village.

Book ChapterDOI
01 Jan 2022

Posted ContentDOI
20 Jun 2022
TL;DR: In this paper , a detailed study of the GLC evolution and outburst susceptibility assessment was carried out to reveal different characteristics for all four lakes (GL-1, GL-2,GL-3, and GL-4) from the lake complex.
Abstract: &lt;p&gt;The ongoing retreat of glaciers in the Sikkim Himalaya as a result of climate change (Racoviteanu et al., 2015; Chowdhury et al., 2021) has far-reaching implications for the development and expansion of glacial lakes. Gurudongmar lake complex (GLC) represents a typical paternoster lake system, resembling a series of glacial lakes connected by single or braided streams with a surface or subsurface drainage system. A detailed study of the GLC evolution and outburst susceptibility assessment is required. Glacial lake volume estimation and lake outburst susceptibility assessment were carried out to reveal different characteristics for all four lakes (GL-1, GL-2, GL-3, and GL-4) from the lake complex. Each of these lakes has a moderate to very high potential to outburst. As the dam of GL-1 provides no retention capacity, there is a very high potential of a combined effect with the sudden failure of the moraine-dams of GL-2 or GL-3 located upstream. Temporal analysis of GLC using optical remote sensing data and in-field investigations revealed a rapidly increasing total lake area by ~74 &amp;#177; 3%, with an expansion rate of +0.03 &amp;#177; 0.002 km&lt;sup&gt;2&lt;/sup&gt; a&lt;sup&gt;&amp;#8211;1&lt;/sup&gt; between 1962 and 2018 due to climate change and ongoing glacier retreat. The overall lake area expansion rates are dependent on climate-driven factors, and constantly increasing average air temperature is responsible for the enlargement of the lake areas. Simultaneously, changes in GLC expansion velocity are driven by changes in the total amount of precipitation. The deficit in precipitation probably triggered the initial higher rate from 1962 to 1988 during the winter and spring seasons. The post-1990s positive anomaly in precipitation might have reduced the rate of the glacial lake area expansion considerably.&lt;/p&gt;

Book ChapterDOI

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24 Aug 2022
TL;DR: There are multiple food cultures in Northeast India, yet creepy-crawlies and ‘smelly’ food amongst others are wrongly depicted as defining cuisines of the region as discussed by the authors .
Abstract: There are multiple food cultures in Northeast India, yet creepy-crawlies and ‘smelly’ food amongst others are wrongly depicted as defining cuisines of the region. There is a great divergence in methods of food production, distribution and consumption in the region amongst populations based on ethnicity and spatial lines. For majority of the people, rice is the staple food and there are several culture-specific beliefs and practices connected to it. Some distinctive features of food and eating of the region include a strong emphasis on wild and forest produce, ritualised food, concepts of purity–pollution and how it plays itself out along caste-tribe continuums, and the elaborate feasts of merit. Instances of food insecurity due to famines have had a strong impact on social change, as well as government policies on agriculture and subsidised food. Societal changes have also impacted methods of food production and consumption across the region.


Journal ArticleDOI
TL;DR: In this article , a multivariate linear regression model was used to analyze the relationship between public healthcare services and COVID deaths, and a high positive correlation was found between COVID-19 deaths and healthcare infrastructure and services.
Abstract: Introduction: COVID-19 has caused an impending disaster with combined social and economic effects. The socio-economic effects of the pandemic are devastating whereby millions of the population drove towards poverty; with nearly 690 million population left undernourished. COVID-19 has demanded efficient healthcare to combat the disease, however, the millions of reported deaths indicate insufficient and unprepared public healthcare. Objective: To analyse the relationship between public healthcare services and COVID deaths. Methodology: The study used basic descriptive methods: averages, percentages, and correlation. To analyse the effects of healthcare infrastructure and healthcare services on COVID deaths, a multivariate linear regression model was used. Results: A high positive correlation was found between COVID deaths and healthcare infrastructure and services. Sub-centres and district hospitals have a negative yet insignificant effect on COVID deaths with parameter estimates of -1.07108 and -166.458 respectively. Community Health Centre and Primary Health Centre have positive and insignificant effects on COVID deaths with parameter estimates of 10.28023 and 11.60391 respectively. Nurses and pharmacists (PHC andCHC) have a negative and insignificant effect with parameter estimates of -1.4027 and -3.38527 respectively. Doctors (PHC) and laboratory technicians (PHC and CHC) have a positive and insignificant effect with parameter estimates of 6.124071 and 5.347605 respectively. F-statistic value was found to be significant in both models. Conclusion: Healthcare infrastructure and services have been insignificant at reducing the recovered COVID cases and COVID deaths.