TIET Digital Repository

Thapar Institute of Engineering & Technology (TuDR)

Welcome to Thapar Institute of Engineering & Technology Digital Repository (TuDR).

TuDR is the digital asset management system which integrates the intellectual output in the form of research articles, PhD theses, and M.Tech / M.E. theses. TuDR facilitates the sharing and exchange of intellectual output of the university.

TuDR supports the management of scholarly resources of enduring value to Thapar University. Faculty members, students, and research scholars use TuDR services to share their intellectual work with the global academic community.

Download Archive Request Form: (PDF) | (Word)
Submission Guidelines: Download Submission Guidelines

Facilities at Thapar Institute of Engineering & Technology Digital Repository (TuDR):

The users of TuDR can search, download, and browse the collections of documents.
Publish & share electronic documents.
Provide views & comments.
For creating new Communities or Collections, mail to dspace@thapar.edu

Communities in DSpace

Select a community to browse its collections.

Now showing 1 - 5 of 8

Central Library 6
Departments 4953
Research@TIET 59
Persons or groups engaged in research at TIET
Schools 1738
Sponsored Projects 4

Recent Submissions

Correlation Analysis of Air Pollutants and Human Diseases Using Explainable AI for Health Outcomes
(2026-07-23) Aanchal; Sharma, Anamika; Bala, Anju
Air pollution is a prominent global health risk factor responsible for millions of premature deaths annually, with its impact spanning cardiovascular, respiratory, and malignant disease categories. Predicting the health impact of air pollution across diverse national contexts requires modelling complex non-linear interactions between multiple pollutant species and disease-specific outcomes, a task that conventional single-pollutant epidemiological frameworks cannot adequately address. To address this, the present research proposes an Explainable AI-enabled predictive framework integrating EDGAR v8.1 global emission inventories with WHO Global Health Observatory health metrics across 177 countries, 9 pollutant species, and 6 disease categories for the period 2010-2019. Two novel deep learning architectures are introduced: RBN-BiLSTM, which extends the standard BiLSTM with Batch Normalisation and L2 regularisation for short emission panel sequences, and T-RBN-BiLSTM, which further incorporates a temporal attention mechanism to dynamically weight emission years by their predictive relevance. The models are evaluated under both random split and strict temporal split protocols and compared against classical ML baselines, including XGBoost and Extra Trees. The proposed T-RBN-BiLSTM achieves 95.8% temporal accuracy and an AUC of 98.2%, outperforming baseline BiLSTM by 12.6 percentage points. SHAP-based per-disease attribution is applied across all six WHO disease categories to identify pollutant-specific health impact drivers. Results demonstrate that agricultural NH3 and biomass-burning organic carbon are the dominant positive health impact drivers across cardiovascular and respiratory diseases, while NOx and SO2 act primarily as economic confounding signals. PM2.5 ranks last due to multicollinearity with co-emitted combustion species, highlighting the importance of multi-pollutant frameworks for accurate policy attribution. Future work includes incorporating sub-national resolution and socioeconomic covariates to further improve the predictive and explanatory scope of the framework.
The Role of Gratitude and Patience in Forgiveness
(2026-07-20) Batra, Jigyasa; Chowdhury, Ipshita
Forgiveness plays a well-recognized role as a significant psychological process that enables individuals to release feelings of bitterness, reduce hostility and gain emotional balance following conflicts and wrongdoings in relationships. Although previous studies have explored forgiveness in terms of its associations with empathy, apology and personality, minimum research has focused on the role of positive character strengths in promoting forgiveness, particularly gratitude and patience. This study aimed to bridge this gap by exploring how gratitude and patience plays a role in forgiveness. This was done with a correlational study. The study used three scales. One for each variable. Patience was used as a mediator while gratitude served as a criterion variable and forgiveness as an outcome variable. Results showed a positive relationship between all three variables, and mediation analysis confirmed full mediation. Patience completely explained the pathway from gratitude to forgiveness. The findings highlight the importance of targeting patience, not only gratitude. This is especially important and useful for mental health professionals.
Effect Of Imposter Syndrome On Dysfunctional Metacognitive beliefs: Mediating Role Of Rumination
(2026-07-20) Malhotra, Jiya; Chowdhury, Ipshita
Imposter syndrome involves persistent self-doubt, fear of being exposed as a fraud, and attributing one’s achievements to luck rather than ability. It is a common source of psychological distress among university students, yet the cognitive processes that connect it to broader mental functioning remain poorly understood. This study examined rumination as a mediating variable in the relationship between imposter syndrome and dysfunctional metacognitive beliefs , drawing on Wells and Matthews’ S-REF model. It was hypothesized that imposter syndrome would positively predict dysfunctional metacognitive beliefs with rumination partially mediating this relationship. Data were collected from 151 university students (ages 18 to 25) using snowball sampling and an online questionnaire. Three validated measures were used: the Leary Imposter Scale, the Ruminative Response Scale, and the Metacognitions Questionnaire-30. Imposter syndrome was significantly associated with both rumination (r = 0.55, p < 0.001) and dysfunctional metacognitive beliefs (r = 0.66, p < 0.001), accounting for 43.4% of the variance in dysfunctional metacognitive beliefs .Rumination partially mediated the relationship, with both direct and indirect effects remaining significant. These findings point to rumination as a key cognitive pathway linking imposter syndrome to dysfunctional metacognitive beliefs,and suggest that interventions such as Metacognitive Therapy may be helpful in university counseling settings. Limitations include a cross-sectional design and self-report measures.
Theoretical Analysis of Multicluster Emission of Heavy Nuclei and Pertinent Nuclear Effects
(2026-07-17) Chahat; Sharma, Manoj K.
The nuclei in the actinide region exhibit fission properties, where the atomic nucleus splits into two or more distinct fragments. This multifaceted fission behavior is of immense interest, as the diverse inputs associated with such dynamical processes are of vital importance in the field of nuclear physics. Actinide nuclei may decay through several competing modes, with the binary fission providing the dominant contribution in the exit channel. Evidently, nuclear fission and related processes play a significant role in various industrial and medical applications. Therefore, it is of extreme interest to acquire an appropriate knowledge of the decay dynamics of heavy nuclei. In view of this, the binary, ternary and quaternary decay processes are investigated within the framework of the Quantum Mechanical Fragmentation Theory (QMFT). The decay dynamics are analyzed using the Preformed Cluster Model (PCM) for binary fragmentation and the Three-Cluster Model (TCM) for three-fragment emission, enabling a consistent description of barrier penetrabilities and relative yield. Furthermore, the model is extended to explore four-body fragmentation as well. In addition, the role of nuclear deformation and orientation effects is studied in the decay dynamics of binary and ternary fission processes. In view of above, the present thesis is divided into seven chapters, which are briefly described as: Chapter 1 begins with the understanding related to the evolution of nuclear decay processes, with a particular emphasis on ground-state decay modes such as α-decay, CR, SF followed by heavy ion induced fission dynamics. Their physical significance and relevance in understanding the nuclear stability and reaction dynamics is highlighted. The chapter provides an overview of the various decay channels involved in binary decay. The discussion is further extended to ternary and quaternary fission dynamics and the related theoretical description is briefed. In Chapter 2, the formalism of the quantum mechanical fragmentation theory (QMFT) is presented. Within this framework, the preformed cluster model (PCM) and the three cluster model (TCM) are formulated. The formalism is further extended to quaternary fission, wherein the parent nucleus undergoes simultaneous emission of four fragments. Furthermore, the potential energy surfaces, mass distributions and relative yield are discussed to establish a comprehensive theoretical basis for the subsequent fission processes. In addition to PCM and TCM, the dynamical cluster decay model (DCM) has been employed to investigate the dynamics of heavy-ion induced reactions. In Chapter 3, the section I includes an analysis of binary decay (α, CF, HPR, and SF) for the nuclei ranging Z=89-102. Firstly, the α-decay logT1/2 are calculated for two sets of chosen nuclei by optimizing the neck parameter (∆R). The optimized ∆R is used to calculate Q-value dependent first turning point i.e. Ra(Q). The Ra(Q) relations are employed to calculate α decay half-lives of another set of nuclei within a chosen range and the calculated results found to be in good agreement with the experimental data. After the alpha decay analysis, the Ra(Q) relations are obtained for CR and HPR decay modes. Further, SF is studied using fragmentation potential and preformation distribution for extreme choice of nuclei (230Th and 256No) in the range Z=89-102. Whereas, section II presents a unified theoretical analysis of α, 2α and cluster emission from Ac and Th isotopes in the mass ranges 207−229Ac and 210−230Th. The study aims to understand the isotopic evolution of decay modes, particularly the transition from dominant α decay to the emergence of simultaneous 2α and the heavier cluster emissions. I have worked out the Q-values, barrier penetrabilities, and cluster preformation probabilities to systematically assess the viability of various decay channels. Through this approach, the aim is to understand the structural/dynamical conditions that prefer the simultaneous 2α emission, and identify the specific isotopes where such processes become increasingly probable. Chapter 4, extends to investigate binary and ternary fission modes of the 252Cf, incorporating deformation and orientation effects. The β2 deformations, with corresponding optimized orientations, are incorporated in this analysis. For the compact configurations, the decay pattern exhibits a clear predominance of symmetric and near-symmetric fragmentation, which is primarily governed by the stabilizing influence of spherical magic shell closures. In contrast, the elongated orientations reveal a distinctly asymmetric yield distribution, wherein the dominance of deformed magic shell closures becomes evident, leading to enhanced probabilities for mass-asymmetric decay modes. Further, the study examines the influence of equatorial cluster tripartition (ECT) and collinear cluster tripartition (CCT) configurations in the ternary decay process. The corresponding fragmentation potential and barrier penetrabilities are calculated and the corresponding relative yield compared with the experimental data. This provides a deeper insight into the role of deformation in binary and ternary fission dynamics. In Chapter 5, a comprehensive investigation of binary, ternary, and quaternary fission of the 252Cf nucleus is carried out in terms of fragmentation potential and the barrier characteristics. Various decay channels (4He, 46Ar, 82Ge and 116Pd) associated with the binary fission are systematically explored. Subsequently, the investigations extend to the feasibility of ternary fission of the same nucleus by keeping 4He, 46Ar, and 82Ge as fixed third fragment. Further, the quaternary fission is studied with particular emphasis on scenarios involving two fixed fragments, while investigating different possible collinear configurations. In addition to the geometrical arrangement, the energetically favourable fragment combinations are identified, providing valuable insights into the competing decay modes operating in 252Cf nucleus. To understand the influence of the different combinations of the middle fragments on the fragmentation potential, the various combinations of light fragments such as 1H, 2H, 3H, 4He, 6Li, and 8Be are considered. The study further explores heavier clusters such as 10Be and 14C, reinforcing the significance of shell effects and energy minimization principles in the dynamics of multicluster fission. Finally, the analyses of ternary and quaternary fission are performed with a particular emphasis on surface separation effects and on the different fragment arrangements in various geometrical configurations. For ternary fission, calculations show that the most probable fragment combinations 132Sn (Z = 50, N = 82) + 4He (Z = 2, N = 2) + 116Pd(Z = 46, N = 70) are independent of surface separation, although there is significant difference in the magnitude of fragmentation potential, particularly at higher separation distance. In addition, the quaternary fission analysis is performed for both equatorial and collinear configurations, considering various light charged particles as middle fragments. In Chapter 6, the spontaneous binary and ternary fission of 252Cf is studied. Firstly, the binary fragmentation potential of 252Cf is calculated by employing the two types of nuclear potentials. One with the proximity and the other with the Skyrme energy density formalism (SEDF) based potential. The different potentials significantly modify the structure and magnitude of the fragmentation potential. Notably, calculations using the SEDF approach (SKT3 force) demonstrate a reasonable agreement with experimental half-lives, validating the choice of nuclear potential. Furthermore, the SKT3 force is employed to investigate the ternary fission process in the decay of the 252Cf nucleus. The three-body fragmentation potential is calculated by considering spherical and deformed choices of the decaying fragments. The relative yield for the ternary fission of the 252Cf nucleus is calculated for the deformed case and compared with the available data. In addition to the ground state decay process, the decay dynamics of the compound nuclear system, i.e. 228U∗, formed via 31Al+197Au reaction is analyzed within the framework of dynamical cluster decay model (DCM). The most probable fission fragments of 228U∗ CN are studied over a wide range of center-of-mass energies, Ec.m.. The comparative analysis has also been worked out for another choice of projectile-target combination (i.e. 19F + 209Bi), forming the same CN (228U∗). The calculations are carried out by adopting SEDF based nuclear potential. At the end, Chapter 7 gives a brief note on the work done in reference to the objectives of the thesis, along with the future extension possibilities that arise from the established results.
Single Nucleotide Polymorphism in microRNA Genes and their association with Lung Disorders
(2026-07-15) Bhatia, Anmol; Sharma, Siddharth; Upadhyay, Atul Kumar
Background: Chronic Obstructive Pulmonary Disorder (COPD) and lung cancer represent significant global health challenges, driven by complex interactions between genetic predispositions and environmental factors like smoking and biomass exposure. Despite extensive research, the precise molecular mechanisms underlying their pathogenesis, particularly the role of microRNAs (miRNAs), remain incompletely understood. MicroRNAs are small, non-coding RNA molecules that post-transcriptionally regulate gene expression by binding to the 3' untranslated regions (3'UTRs) of target messenger RNAs (mRNAs), influencing crucial cellular processes such as proliferation, apoptosis, and inflammation. Single nucleotide polymorphisms (SNPs) within miRNA genes or their target sites can significantly alter miRNA function, leading to aberrant gene expression and contributing to disease development. Existing literature highlights several critical gaps. Firstly, there is a notable lack of regional and ethnic diversity in studies investigating miRNA SNPs and COPD susceptibility, particularly in the North Indian population. This gap limits the understanding of ethnic-specific genetic predispositions. Secondly, while the role of miRNAs in gene silencing is established, the structural basis of miRNA-mRNA-Argonaute (AGO) protein interactions in lung cancer remains underexplored. A comprehensive bioinformatics approach integrating multiple predictive algorithms and thermodynamic analysis is needed to identify functionally relevant miRNA-target site SNPs (miR-TS-SNPs) in lung cancer. Addressing these gaps is crucial for advancing the understanding of miRNA biology in respiratory disorders and paving the way for novel diagnostic and therapeutic approaches. Objectives: The primary objective of this study is to comprehensively investigate the intricate role of miRNA SNPs in the pathogenesis and clinical outcomes of COPD. This involves identifying associations between specific miRNA SNP variants and susceptibility to COPD within the North Indian population, correlating these genetic variations with various clinical parameters and symptoms. Furthermore, the study aims to predict and analyze the functional impact of SNPs located in miRNA binding sites within the genes involved in lung cancer and COPD, utilizing advanced bioinformatics and structural modeling techniques to elucidate their roles in gene regulation and disease progression. Methodology: A comprehensive methodology was employed, combining a case-control genetic association study with extensive bioinformatics analyses. For COPD Susceptibility (Case-Control Study): A case-control study was designed, recruiting 323 COPD cases and 350 healthy controls from the North Indian population, all adhering to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2024 guidelines. Ethical approval was obtained, and informed consent was acquired from all participants. Detailed demographic and clinical data, including age, gender, smoking status, pack-years, spirometry values (FEV1, FVC, FEV1/FVC ratio), GOLD severity and group, mMRC, and CAT scores, were collected. Genomic DNA was extracted from peripheral blood samples using a modified standard protocol and assessed for quality and quantity. Genotyping of six specific miRNA SNPs (miR-25 rs1527423 T>C, miR-3117 rs7911488 A>G, miR605 rs2043556 A>G, miR-149 rs2292832 C>T, miR-499 rs3746444 C>T, and miR-608 rs4919510 C>G) was performed using the PCR-RFLP technique, with 20% random sample reproducibility testing. Statistical Analysis for COPD Susceptibility: Demographic analysis involved Chi-square tests for categorical variables and t-tests for continuous variables. Allelic and genotypic frequencies were assessed, and Hardy-Weinberg Equilibrium (HWE) was tested. Logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusted for age, gender, and smoking status, to determine associations with COPD risk under codominant, dominant, and recessive models. Stratified analyses were conducted based on age, gender, smoking status, pack-years, and clinical parameters. Combinatorial analysis identified significant SNP-SNP doublet interactions, with Benjamini-Hochberg False Discovery Rate (FDR) correction applied for multiple comparisons. Multifactor Dimensionality Reduction (MDR) analysis was performed to detect complex genegene interactions, evaluating cross-validation consistency (CVC) and prediction error. Classification and Regression Tree (CART) analysis was utilized to construct decision trees, identifying subgroups with varying COPD risk. For miR-TS-SNPs in Lung Cancer Genes (Bioinformatics Analysis): A comprehensive bioinformatics pipeline was developed. A list of lung cancer-associated genes was retrieved from UniProtKB. Putative miR-TS-SNPs in the 3'-UTR regions of these genes were identified using MirSNP, miRdSNP, and miRNASNP databases. SNPs with a minor allele frequency (MAF) > 0.1% were selected, and cross-prediction was performed using TargetScan Human 7.1. The impact of miR-TS-SNPs on miRNA:mRNA binding stability was assessed by calculating Gibbs binding free energy (ΔG) using RNAcofold, and SNPs were categorized into high-, mid-, and low-impact tiers based on ΔΔG values. Gene expression profiling of highimpact genes was performed in various lung cancer cell lines using EMBL's Expression Atlas and in normal vs. lung adenocarcinoma (LUAD) tissues using UALCAN. Genotype-Tissue Expression (GTEx) portal was used to identify expression quantitative trait loci (eQTLs) in normal lung tissue. Enrichment analysis (WebGestalt, KOBAS-I) and gene network analysis (GeneMANIA in Cytoscape) were conducted to understand biological processes, molecular functions, and pathways. Survival analysis for high-impact SNP target genes was performed using the Kaplan-Meier plotter (KM Plotter) with TCGA data. For Structural Dynamics of AGO-mediated Gene Silencing in Lung Cancer: MiRNAs targeting lung cancer oncogenes and tumor suppressor genes were screened from miRCancer and miRDisease, validated with MiRWalk 2.0 and miRTarBase for MFE. Functional annotation and enrichment analysis of target genes were performed using DAVID, UniProt, and ShinyGO. 2D and 3D structural predictions of miRNA-mRNA duplexes were done using RNAfold and RNA-COMPOSER. Argonaute (AGO) protein structure (PDB ID: 3F73) was prepared. Molecular docking between AGO protein and miRNAs, and between AGO protein and miRNAmRNA duplexes, was performed using the HDOCK server, followed by interaction analysis using Discovery Studio Visualize, PLIP, and PDBsum. miRNA expression profiling in various human cancers and LUAD was analyzed using TCGA and UALCAN. Receiver Operating Characteristic (ROC) curve analysis and survival prediction (KM Plotter) were conducted for selected miRNAs. For miR-TS-SNPs in COPD Genes (Bioinformatics Analysis): COPD-related genes were retrieved from UniProtKB, DisGeNET, literature, and STRING. miR-TSSNPs were identified using PolyMiRTS Database 3.0, filtered by MAF > 0.05, and cross-validated with MiRWalk, TargetScan, miRdb, and miRTarBase. The impact on miRNA-mRNA binding stability was calculated using RNAcofold. GTEx portal was used for lung eQTL analysis. Enrichment (DAVID, Metascape, Toppgene, WebGestalt) and network analysis (GeneMANIA) were performed to understand functional associations. Results: COPD Susceptibility in the North Indian Population: A significant association was identified between the miR-25 T>C rs1527423 polymorphism and increased COPD risk. The genotypic frequencies differed significantly between cases and controls (χ 2 =33.85, df=2, p < 0.0001). The heterozygous (TC) genotype was over-represented in cases (13.93%) compared to controls (2.28%). Under the codominant model, the TC genotype conferred a 6.058-fold increased risk (OR=6.058, 95%CI= 2.77-13.20, p < 0.001), and the dominant model (TC+CC) showed a 6.381-fold increased risk (OR=6.381, 95%CI=2.936-13.87. p< 0.0001), both remaining significant after Bonferroni correction. Stratified analysis further revealed this association across all age groups (<65 years: OR=5.73, p=0.0009; ≥65 years: OR=9.26, p=0.0019), and specifically in males (OR=5.61, p<0.0001) and smokers (OR=4.71, p=0.0002). No significant association was found between miR-25 rs1527423 and clinical parameters (COPD duration, GOLD score, CAT score, GOLD group, mMRC grade) or clinical symptoms (cough, expectoration, breathlessness, mucus production, body movement limitations). Pulmonary Function Tests (PFTs) also showed no significant differences across miR-25 genotypes. For miR-3117 A>G rs7911488, no overall significant association with COPD risk was observed. However, age-stratified analysis revealed a potential age-dependent effect: the AG genotype showed a significant protective effect in individuals younger than 65 years (AOR = 0.56, p = 0.04), while the AG+GG genotypes were associated with an increased COPD risk in those aged ≥65 years (AOR = 1.61, p = 0.03). The AG genotype was significantly associated with higher odds of expectoration (AOR = 3.54, p = 0.01) but lower risk of breathlessness (AOR = 0.31, p = 0.024) and body movement difficulties (AOR = 0.45, p = 0.038). miR-605 A>G rs2043556 showed no overall significant association with COPD risk. However, in non-smokers, the AG (OR = 0.16, p = 0.022) and GG (OR = 0.11, p = 0.0053) genotypes were associated with a significantly reduced risk of COPD, suggesting a strong protective effect. Conversely, in heavy smokers (≥24 pack-years), the AG genotype was associated with a significantly increased risk (OR = 9.01, p = 0.0103). miR-149 C>T rs2292832 showed no overall significant association with COPD risk. However, the CT genotype showed a statistically significant association with a higher risk of being in the GOLD Group E (OR = 2.51, 95% CI: 1.08-5.85, p = 0.0331), indicating a link to more severe COPD. miR-499 C>T rs3746444 showed no significant association with overall COPD risk or in any stratified analyses. miR-608 C>G rs4919510 showed a significant association with increased COPD risk in the overall population, particularly for the CG genotype (AOR = 1.43, p = 0.03) and under the dominant model (AOR = 1.45, p = 0.02). Age-stratified analysis revealed that the GG genotype conferred a higher risk in individuals <65 years (OR = 2.87, p = 0.02), while the CG genotype showed a stronger association in those ≥65 years (OR = 2.38, p = 0.0009). In males, the CG genotype was associated with increased risk (OR = 1.41, p = 0.042). In smokers, the dominant model showed increased risk (OR = 1.48, p = 0.028), but the GG genotype showed a protective effect in non-smokers (OR = 0.36, p = 0.04). Combinatorial analysis of SNP-SNP interactions identified several significant doublet combinations increasing COPD risk, notably miR-3117 A>G rs4655646 and miR-25 T>C rs1527423 (OR=25.69, p=0.024), and miR-605 A>G rs2043556 and miR-25 T>C rs1527423 (OR=21.00, p=0.0007). MDR analysis identified miR-25 as the best single-factor model (p=0.06). CART analysis confirmed miR-25 as the root node, indicating its central role as the strongest risk factor, with specific genotype combinations showing up to an 11-fold increased risk. miR-TS-SNPs in Lung Cancer Genes (Bioinformatics Analysis): A comprehensive bioinformatics pipeline identified 100 miR-TS-SNPs with MAF > 0.1% in lung cancer-associated genes. Calculation of Gibbs binding free energy (ΔΔG) categorized 29 SNPs as high-impact. Genes harboring these high-impact SNPs (e.g., EIF2AK1, AKAP1, EGFR, CDKN1A) were highly expressed in various lung cancer cell lines. Enrichment analysis revealed their involvement in phosphotransferase and kinase activities, cell death, and cell cycle, with KEGG pathways showing enrichment in "Pathways in Cancer" and "miRNAs in Cancer." GTEx analysis identified eQTLs in normal lung tissue for FAM124B (rs3738954, rs3738953) and PPIL2 (rs12484060). Survival analysis showed that high expression of PIK3C2A, PDLIM5, RET, and CSF1R was associated with significantly improved survival in lung cancer patients. Structural Dynamics of AGO-mediated Gene Silencing in Lung Cancer: Thirty-six miRNAs targeting lung cancer oncogenes and tumor suppressor genes were shortlisted. Functional annotation of their target genes revealed involvement in apoptosis, cell cycle, cell proliferation, and angiogenesis, with VEGFA, PTEN, and TP53 being key genes. Molecular docking studies demonstrated strong binding affinities between selected miRNAs (miR-21-5p, miR-221-3p, miR-126-3p, miR-34a-5p) and their target mRNAs (PTEN, VEGFA, TP53), and with the AGO protein. Hydrogen bonds and hydrophobic interactions were crucial for these stable complexes. miRNA expression profiling showed miR-21-5p and miR-34a-5p were significantly overexpressed in LUAD compared to normal tissue. Survival analysis indicated that high expression of miR-21-5p was associated with poorer overall survival in LUAD patients (HR=1.41, p=0.021). ROC analysis suggested miR-126-5p as a potential predictive biomarker (AUC=0.607). miR-TS-SNPs in COPD Genes (Bioinformatics Analysis): Fifty-seven COPD-related genes were retrieved. PolyMiRTS identified 634 SNPs in their 3'-UTR regions, which were narrowed down to 51 high-confidence miR-TS-SNPs with MAF > 0.05. The impact on miRNA-mRNA binding stability was quantified, categorizing SNPs into high-, mid-, and low-impact tiers. rs1058747 (PHLPP2 C>T) showed a distinctly high |ΔΔG|total value (25.37), indicating a substantial impact. GTEx analysis identified eQTLs for rs1058750 C>T and rs2052585 C>G in the PHLPP2 gene in normal lung tissue. Enrichment analysis revealed the involvement of these genes in hemostasis, blood coagulation, apoptosis, and "tumor necrosis factor binding," with "aldosterone-regulated sodium reabsorption" as a major pathway. Conclusion: In summary, this study provides compelling evidence for the significant association of the miR25 rs1527423 polymorphism with COPD susceptibility in the North Indian population, highlighting its potential as a central genetic risk factor, particularly in males and smokers. The comprehensive bioinformatics investigation successfully identified high-confidence miR-TS-SNPs in genes relevant to both lung cancer and COPD, elucidating their predicted impact on miRNA-mRNA interactions and their involvement in critical disease pathways. Furthermore, the structural dynamics analysis of AGO-miRNA and AGO-miRNA-mRNA complexes offers novel insights into the molecular mechanisms of miRNA-mediated gene regulation in lung cancer. These findings collectively underscore the multifaceted role of miRNAs and their genetic variants in the pathogenesis of lung disorders, providing valuable insights into potential regulatory mechanisms and identifying promising targets for future research and the development of novel diagnostic and therapeutic strategies.