Research Papers (Open Access)

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Our faculty members have been publishing in open access as well as subscription based journals. This collection exclusively Includes research works published by CUH faculty/ researchers in open access journals/ platforms. To promote more publications in open access journals/platforms, CUH implemented “Open Access Policy of Central University of Haryana“ in 2022. Perhaps our University is the first Central University to implement the said policy. The policy document may be downloaded from: https://library.cuh.ac.in/open-access-policy-of-cuh/

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Now showing 1 - 20 of 731

1,2,3-Triazole β-lactam conjugates as antimicrobial agents
(Helion, 2020) Kumar, Antresh
2-Deoxy-D-Glucose: A Novel Pharmacological Agent for Killing Hypoxic Tumor Cells, Oxygen Dependence-Lowering in Covid-19, and Other Pharmacological Activities
(2023-03) Singh, R; Gupta, V; Kumar, A; Singh, K
Te nonmetabolizable glucose analog 2-deoxy-D-glucose (2-DG) has shown promising pharmacological activities, including inhibition of cancerous cell growth and N-glycosylation. It has been used as a glycolysis inhibitor and as a potential energy restriction mimetic agent, inhibiting pathogen-associated molecular patterns. Radioisotope derivatives of 2-DG have applications as tracers. Recently, 2-DG has been used as an anti-COVID-19 drug to lower the need for supplemental oxygen. In the present review, various pharmaceutical properties of 2-DG are discussed.
The 2019 Parliamentary elections in India: Democracy at a Crossroads?
(Taylor and Francis, 2022-03-03) Sharma, Chanchal Kumar
A chemoinformatics study to prioritization of anticancer orally active lead compounds of pearl millet against adhesion G protein-coupled receptor
(2025) Kumar Shukla, Adrash
Metastasis is the main cause of colon cancer deaths worldwide. However, due to the disease’s complexity, un derstanding its spread and finding natural treatments remain major challenges. The study aimed to identify therapeutic compounds in pearl millet and test them on metastatic colon cancer cell lines. The study used LC-MS and FTIR spectroscopy to identify small compounds and their functional groups. Further, theoretical chemistry, computational techniques, and ADMET analysis were applied for virtual screening and evaluating the pharma cokinetics of potential bioactive candidates of pearl millet. The 55 compounds of pearl millet were identified through the LC-MS, whereas 37 compounds were reported in PubChem database. Out of these, 15 compounds were predicted as potential orally active leads of pearl millet. Adhesion G protein-coupled receptor F5 was found as a potential target of these lead candidates. Further, molecular docking exhibited Tosifen ( 7.9 kcal/mol), Sufentanil ( 6.4 kcal/mol), Pemirolast ( 6.3 kcal/mol), and Levosimendan ( 6.3 kcal/mol) have similar binding affinity to the antineoplastics against the targeted protein. The “root mean square fluctuations (RMSFs)” analysis and deformability graph validated the docked complexes. Additionally, a comparative cell lines study against colon adenocarcinoma highlights Pemirolast as a promising candidate, demonstrating better activity compared to standard antineoplastics. This computational study predicted potential anticancer compounds in pearl millet and recommended further investigation through in vitro and in vivo studies
A next generation probabilistic approach to analyze cancer patients data with inference and applications
(2025) Kumar, Anoop
This study addresses the critical challenges faced in cancer care, particularly in predicting survival times for patients with lung cancer and acute myeloid leukemia. Despite recent advancements in medical science, existing models often fall short in accurately capturing disease progression, leading to less effective clinical decision making, and compromised patient outcomes. The need for advanced predictive models is urgent to improve survival time forecasts and enhance treatment strategies. In response to this, we introduce a novel probabilistic approach, the New Weibull (NEWE) model, which is part of a newly generated class designed to model cancer patient data more effectively. Our methodology includes using seven well-known estimation methods, each rigorously evaluated for consistency through Monte Carlo simulation studies focused on key metrics such as absolute bias, mean square error, and mean relative error. The datasets analyzed include survival times for twenty acute myeloid leukemia patients, 121 breast cancer patients from 1929 to 1938, 33 patients with acute myelogenous leukemia, data from eighteen individuals who died from causes unrelated to cancer, and survival times of advanced lung cancer patients undergoing standard chemotherapy. The NEWE model outperformed competing models, particularly in Anderson-Darling, Cramer-von Mises, and Kolmogorov-Smirnov tests, with significantly higher p-values. These findings highlight the NEWE model’s potential to transform predictive oncology by offering more precise survival time predictions, improving the quality of care and decision-making in cancer treatment.
A Review on the Fate of Emerging Contaminants in Landfill Leachate: Insights from Conventional Treatment Approaches
(2026) Kumar, Smita S.
Landfill leachate is a dark-colored, complex liquid formed by the percolation of water through municipal solid waste, containing diverse array of emerging contaminants. Reported concen trations include pharmaceuticals such as ibuprofen (2–1,500 µg/L) and carbamazepine (up to 800 µg/L), personal care products like triclosan (50–3,200 µg/L), pesticides (50–1,200 µg/L), phthalates such as Di(2 ethylhexyl) phthalate (up to 5.3 mg/L), polycyclic aromatic hydrocarbons (20–600 µg/L), polychlorin ated biphenyls (0.1–50 µg/L), per- and polyfluoro alkyl substances (up to 6,200 ng/L), microplastics (102–104 particles/L), and endocrine disruptors such as bisphenol A (0.5–1,800 µg/L). These contaminants persist in the environment, resist natural degradation, Highlights • Conventional treatments only partially remove emerging contaminants (ECs) in leachate. • EC removal depends on physicochemical properties and applied treatment process. • Fate of ECs includes adsorption, partial biodegradation, and environmental persistence. • Hybrid and integrated treatments achieve higher EC removal than standalone methods. • Treatment limitations indicate the need for optimized hybrid systems and monitoring. and thereby posing significant ecological and health risks. The conventional biological treatments, includ ing activated sludge and anaerobic digestion, achieve only partial removal (20–60% for pharmaceuti cals; < 30% for per- and polyfluoroalkyl substances). Physico-chemical processes such as coagulation-floc culation, advanced oxidation, and membrane filtration provide higher removal rates (60–95%) but remain energy-intensive, costly, and prone to secondary pol lution. There is no single treatment that ensures com plete elimination, underscoring the inadequacy of tra ditional methods. Recent advances, including hybrid membrane bioreactors, advanced oxidation processes, and bioelectrochemical technologies, achieve more than 90% removal of selected contaminants. The study focuses on the occurrence and fate of emerg ing contaminants in landfill leachate, evaluates the performance of existing treatment technologies, and compares regulatory frameworks across different countries. The insights aim to guide the development of sustainable and integrated strategies for effective leachate management.
Abiotic stress tolerance and antifungal activities of rhizobacteria for the management of soil-borne pathogens
(14-05) Poria, V; Jhilta, P; Kumar, S; Kumar, P
Cotton production is negatively affected by both biotic (diseases and insects) and abiotic (high temperature, salinity, water deficit, and extreme pH) factors. Soil-borne diseases, especially wilts and rots, significantly reduce cotton yield. Thus, we aimed to isolate and identify multi-stress tolerant bacterial antagonistic agents (AGAs) against two major soil-borne pathogens, Macrophomina phaseolina and Fusarium oxysporum. A total of 132 isolates with distinct morphologies were recovered from 25 different rhizospheric soil samples of cotton. A dual culture plate and broth assay confirmed the antagonistic activity of the isolates against these phytopathogens. Four selected AGAs thrived in salt stress induced by different NaCl concentrations, up to 1.71 M, except for isolate 62, which survived up to 0.85 M. Under osmotic stress, all the AGAs were tolerant of up to − 1.03 MPa. Similarly, all the AGAs were able to survive over a temperature range of 20–50 ◦C except for isolate 62, which survived up to 45 ◦C and was regarded as thermotolerant. All four AGAs were able to grow at pH values ranging from 5 to 9. AGA 18 and S46-7 survived under highly acidic conditions (pH 4). These multi-stress tolerant AGAs also exhibited different plant growth-promoting activities, such as mineral solubilization, ACC-deaminase production, and IAA production. Molecular identification revealed the following AGAs: Bacillus siamensis SSVP1 (18), Bacillus halotolerans SSVP2 (34), Pseudomonas aeruginosa SSVP3 (62), and Bacillus tequilensis SSVP4 (S46-7). AGAs with multiple stress tolerance traits can serve as potential biocontrol agents in the field to reduce pesticide consumption in cotton-growing areas.
Adaptogenic property of Asparagus racemosus: Future trends and prospects
(2023-04) Singh, N; Garg, M; Prajapati, P; SIngh, P
Major depressive disorder (MDD) is a multimodal neuropsychiatric and neurodegenerative illness characterized by anhedonia, continued melancholy, dysfunctional circadian rhythm and many other behavioral infirmities. Depression is also associated with somatic ailments such as car diometabolic diseases. The existing and upcoming hypotheses have succeeded in explaining the pathophysiology of depression. Only a few of the most validated theories, such as hyperactivity of the HPA axis, activated inflammatory-immune response, and monoaminergic and GABAergic deficit hypotheses, have been discussed in this review. So, an effective and safer alternative approach beyond symptomatic relief has been desired. Therefore, botanical products have steadily been probed to strengthen the modern medicinal system as a promising medicament. In this line, Asparagus racemosus Willd. belongs to Asparagaceace family is the well-documented adaptogen cited in the ancient texts namely, Ayurvedic, Greek, and Chinese medicine system. The whole plant possesses pleiotropic therapeutic activity, antioxidant, anti-inflammatory, immunomodulatory, neuroprotective, nootropic, antidepressant, etc., without showing any remarkable side effects. The literature review has also suggested that A. racemosus administration at varied levels alleviates depression by modulating the HPA axis, increasing BDNF levels, and monoaminergic and GABAergic neurotransmission. Alongside, spikes the level of antioxidant enzymes, SOD, GSH peroxidase, GSH, and catalase in distinct brain regions (i.e., hippocampus, prefrontal cortex, amygdala, and hypothalamus) and promote neurogenesis and neuroplasticity. Thus, it could be a new generation antidepressant that provides relief from both behavioral and somatic illness. The review first describes the plant characteristics, then discusses the hypotheses associated with the pathogenesis of depression, and gives an insight into A. racemosus antidepressant properties and the underlying mechanism.
Advanced strategies for development of vaccines against human bacterial pathogens
(World Journal of Microbiology and Biotechnology, 2021) Yadav, Pooja
Advancements in carbon capture and utilization technologies: Transforming CO into valuable resources for a sustainable carbon economy
(2026) Kumar, Harish
The escalating atmospheric CO₂ concentration arising from fossil fuel combustion and industrial activities ne cessitates immediate mitigation strategies to address global warming and environmental degradation. Carbon Capture and Utilization (CCU) technologies have emerged as a pivotal approach to transforming CO₂ from a greenhouse gas into a valuable feedstock for fuels and chemicals. This review critically examines recent ad vancements in CO₂ capture techniques—including absorption, adsorption, membrane separation, and mineral carbonation—and their integration with various conversion routes such as thermocatalytic hydrogenation, electrochemical and photocatalytic reduction, and biological fixation. Particular emphasis is placed on the synthesis of methanol, ethanol, methane, syngas, cyclic carbonates, and biofuels, discussing their catalytic systems (Cu-, Ni-, and Ti-based catalysts, metal–organic frameworks, and nanostructured semiconductors), re action mechanisms, and process efficiencies. The review also evaluates techno-economic feasibility, energy in put–output ratios, and net CO₂ reduction potentials, highlighting strategies for coupling renewable hydrogen and solar-driven systems to improve sustainability. Finally, it outlines the current technology readiness levels (TRLs), life-cycle assessment (LCA) outcomes, and research priorities needed to accelerate the industrial implementation of CCU technologies toward a low and circular carbon economy.
Advances in aggregation induced emission (AIE) materials in biosensing and imaging of bacteria
(2021) Maruthi, M; Kalangi, S
With their ubiquitous nature, bacteria have had a significant impact on human health and evolution. Though as commensals residing in/on our bodies several bacterial com munities support our health in many ways, bacteria remain one of the major causes of infectious diseases that plague the human world. Adding to this, emergence of antibi otic resistant strains limited the use of available antibiotics. The current available tech niques to prevent and control such infections remain insufficient. This has been proven during oneofgreatest pandemicofourgeneration,COVID-19.It hasbeenobservedthat bacterial coinfections were predominantly observed in COVID-19 patients, despite anti biotic treatment. Such higher rates of coinfections in critical patients even after antibi otic treatment is a matter of concern. Owing to many reasons across the world drug resistance in bacteria is posing a major problem i. According to Center for Disease control (CDC) antibiotic report threats (AR), 2019 more than 2.8 million antibiotic resis tant cases were reported, and more than 35,000 were dead among them in USA alone. In both normal and pandemic conditions, failure of identifying infectious agent has played a major role. This strongly prompts the need to improve upon the existing tech niques to not just effective identification of an unknown bacterium, but also to discrim inate normal Vs drug resistant strains. New techniques based on Aggregation Induced Emission (AIE) are not only simple and rapid but also have high accuracy to visualize infection and differentiate many strains of bacteria based on biomolecular variations which has been discussed in this chapter.
Advances in Optical Visual Information Security: A Comprehensive Review
(2024-01) Sachin; Kumar, R; Sakshi; Yadav, R; Reddy, S; Yadav, A; Singh, P
In the modern era, the secure transmission and storage of information are among the utmost priorities. Optical security protocols have demonstrated significant advantages over digital counterparts, i.e., a high speed, a complex degree of freedom, physical parameters as keys (i.e., phase, wavelength, polarization, quantum properties of photons, multiplexing, etc.) and multi-dimension processing capabilities. This paper provides a comprehensive overview of optical cryptosystems developed over the years. We have also analyzed the trend in the growth of optical image encryption methods since their inception in 1995 based on the data collected from various literature libraries such as Google Scholar, IEEE Library and Science Direct Database. The security algorithms developed in the literature are focused on two major aspects, i.e., symmetric and asymmetric cryptosystems. A summary of state-of-the-art works is described based on these two aspects. Current challenges and future perspectives of the field are also discussed.
Advances in Optical Visual Information Security: A Comprehensive Review
(2024-01) Sachin; Kumar, R; Sakshi; Yadav, R; Yadav, AK
In the modern era, the secure transmission and storage of information are among the utmost priorities. Optical security protocols have demonstrated significant advantages over digital counterparts, i.e., a high speed, a complex degree of freedom, physical parameters as keys (i.e., phase, wavelength, polarization, quantum properties of photons, multiplexing, etc.) and multi-dimension processing capabilities. This paper provides a comprehensive overview of optical cryptosystems developed over the years. We have also analyzed the trend in the growth of optical image encryption methods since their inception in 1995 based on the data collected from various literature libraries such as Google Scholar, IEEE Library and Science Direct Database. The security algorithms developed in the literature are focused on two major aspects, i.e., symmetric and asymmetric cryptosystems. A summary of state-of-the-art works is described based on these two aspects. Current challenges and future perspectives of the field are also discussed.
Aegle marmelos (L.): An underutilized plant with incredible pharmaceutical and nutritional potential
(2025) Rana, Anshu
Aegle marmelos (L.) or bael has a long history of use in traditional medicine across Southeast Asia, with roots in the ancient Indian traditional medicinal system- Ayurveda. It has therapeutic characteristics in all of its parts, notably the fruits, leaves, roots, stem, and bark. The plant has a plethora of bioactive compounds which account for its medicinal properties such as antibacterial, anti-inflammatory, antioxidant, antidiabetic, antidiarrheal, anticancer, diuretic and antiulcer activity. In this review, comprehensive information about the plant like its therapeutic properties, with focus on the mechanisms of action of bioactive components and their pharmaco logical efficacy towards variety of chronic diseases is provided. Its nutritional value along with its potential to be used as a food supplement and a source of nutraceuticals to address nutritional deficiencies is also discussed. Given its underutilization and limited research, there is an urgent need to increase its awareness among masses and propagate its ethnopharmacological significance to people, especially in low-income countries, as it has huge potential to provide pharmacological drugs and nutraceuticals. Conservation efforts are required as it has been listed as ‘near threatened’ in the IUCN Red list, and also it needs to be propagated for benefit of larger population.
Aesculus indica: an updated review on its pharmacognosy, phytochemistry and pharmacological profile
(EGYPTIAN JOURNAL OF BASIC AND APPLIED SCIENCES, 2022) Jangra, Ashok
Ageneralizedsolution for anisotropic compact star modelin 𝐹()gravity
(2025) Kumar, Jitendra
Albomycin Uptake via a Ferric Hydroxamate Transport System of Streptococcus pneumoniae R6
(JOURNAL OF BACTERIOLOGY, 2006-06) Pramanik, Avijit
Alpha logarithm transformed fréchetdistribution: Properties and estimation
(Austrian Journal of Statistics, 2019) Dey, Sanku; Nassar, Mazen; Kumar, Devendra; Alaboud, Fahad
In this paper, a new three-parameter distribution called the Alpha Logarithm Transformed Fr echet (ALTF) distribution is introduced which o ers a more exible distribution for modeling lifetime data. Various properties of the proposed distribu- tion, including explicit expressions for the quantiles, moments, incomplete moments, conditional moments, moment generating function R enyi and -entropies, stochastic ordering, stress-strength reliability and order statistics are derived. The new dis- tribution can have decreasing, reversed J-shaped and upside-down bathtub failure rate functions depending on its parameter values. The maximum likelihood method is used to estimate the distribution parameters. A simulation study is conducted to evaluate the performance of the maximum likelihood estimates. Finally, the pro- posed extended model is applied on real data sets and the results are given which illustrate the superior performance of the ALTF distribution compared to some other well-known distributions.
Alpha power transformed inverse Lindley distribution: A distribution with an upside-down bathtub-shaped hazard function
(2017-08) De, S; Nassar, M; Kumar, D
The inverse Lindley distribution has been generalized by many authors in recent years. Here, we introduce a new generalization called alpha power transformed inverse Lindley (APTIL) distribution that provides better fits than the inverse Lindley distribution and some of its known generalizations. The new model includes the inverse Lindley distribution as a special case. Various properties of the proposed distribution, including explicit expres sions for the mode, moments, conditional moments, mean residual lifetime, Bonferroni and Lorenz curves, entropies, stochastic ordering, stress–strength reliability and order statistics are derived. The new distribution can have an upside-down bathtub failure rate function depending on its parameters. The model parameters are obtained by the method of maximum likelihood estimation. The approximate confidence intervals of the model parameters are also obtained. A simulation study is carried out to examine the performance of the maximum likelihood estimators of the parameters. Finally, two data sets have been analyzed to show how the proposed model works in practice.
An Amended Crow Search Algorithm for Hybrid Active Power Filter Design
(2023-08) Ali, S; Bhargava, A; Saxena, A
Hybrid Active Power Filter (HAPF) imbibes the advantages of both passive and active power filters. These filters are considered one of the important technologies for mitigating harmonic pollution in electrical systems. Accurate estimation of filter parameters is a key component to reduce harmonic pollution effectively. In recent years, several optimization approaches have been reported to solve this estimation problem; still, this area is worthy of further investigation. This paper is a proposal for an estimator that can estimate the parameter of HAPF configuration accurately. For evolving this estimator, first, an objective function that mathematically embeds filter parameters and harmonic pollution is presented. For handling the optimization process, an Amended Crow Search Algorithm (ACSA) is proposed. ACSA employs a local search algorithm (in the form of a pattern search) for obtaining optimal results. The analysis of the estimation process is carried out on two HAPF configurations. Various analyses that include harmonic pollution statistical analysis along with fitness function value analysis reveal that the proposed algorithm acquires optimal results as compared with other recently published and reported algorithms. Further, the proposed filter configurations are tested with the existing filter. The results prove that the proposed filter shows promising results.

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