Digital Commons Network^™

Factors Influencing The Performance Of Farmer-Producer Organizations (Fpos) And Their Societal Impact In Tamil Nadu, Arjune S

Theses and Dissertations

Farmer Producer Organizations (FPOs) are formed mainly for the farmers to have better institutional access to acquire them. They are also under the inspiration of the director's abstinence and the incentive of getting more money. These are socio-psychological individual differences and thus of importance to markets, the perception of markets, and market relevance of group interaction. Self-esteem, attitude to participation in group activities, and willingness to participate in these types of activities are of some significance for his/her performance because they have an effect on their performance afterward.

Farmer social empowerment increased but not farmer economic empowerment did so much …

Facile Fabrication Of Protein-Polysaccharide Conjugate Multifilament Nerve Guidance Conduit For Peripheral Nerve Regeneration, Preethy Amruthavarshini R

Theses and Dissertations

Long segmental defects in peripheral nerves impair sensory and motor function by disrupting neural impulse transmission. End-to-end autologous grafting with proper fascicular complementation has demonstrated functional recovery per the Medical Research Council Classification (MRCC). However, obtaining donor nerve tissue exceeding 30 mm remains a significant challenge. Artificial hollow conduits serve as an alternative but are limited to defects smaller than 30 mm due to inadequate innervation across the lumen.

Multichannel nerve guidance conduits (mNGCs) have emerged as a promising solution by enhancing fascicular complementation similar to autografts. This study presents a two-step approach for fabricating nerve conduits with precise fascicular …

In Silico Investigations Of Class Ii Trans Activator (Ciita): Its Plausible Implications In Neuroinflammation And Neurological Disorders, Kishore N

Theses and Dissertations

Inflammation plays a significant role in maintaining homeostasis. Neuroinflammation is a chronic inflammatory response in the central nervous system (CNS), leading to brain or spinal cord dysfunction. To promote mental health, it is crucial to understand the regulation of neuroinflammation. Class II transactivator (CIITA) is a master-regulator of the major histocompatibility complex II (MHCII).

Modulation of CIITA has been suggested as a promising intervention for inflammatory conditions, including neurological disorders. However, there is limited knowledge about the role of CIITA and its interactors in inflammation. This study aimed to understand the role of CIITA in neuroinflammation and neurological disorders using …

3d Bioprinting On Electrospun Nanofibrous Scaffolds To Fabricate Myocardial Patches, Muthu Parkkavi S

Theses and Dissertations

Tissue-engineered three-dimensional (3D) myocardial patches offer superior and innovative treatment strategy for myocardial infarction (MI). Among the various scaffold fabrication techniques, electrospinning and 3D bioprinting have received great attention due to their ability to recreate native cardiac tissue mimetic characteristics. Despite several advantages, electrospun nanofibers have limitations in cell delivery due to random cell seeding, while bioprinting faces challenges in creating hydrogel constructs with ideal mechanical properties capable of supporting cardiac contraction/relaxation cycle. Hence in this work, hybrid myocardial patches were developed by converging electrospinning and bioprinting techniques.

Electrospinning of PLCL:PEOz (B73, 7:3 blend of poly-L-lactide-co-ε-caprolactone (PLCL) and polyethyl oxazoline …

Detailed Modelling And Analysis Of A Shake Table Comprising Hybrid Actuation And Load-Balancing Mechanism, Xavier Reni Prasad

Theses and Dissertations

Catastrophic earthquakes endanger human lives by severely damaging critical infrastructure such as nuclear plants, bio-laboratories, and bridges. Developing earthquake-resistant structures is vital to mitigate these risks. Shake tables replicate recorded earthquake ground motions to assess structural performance. This research presents a novel three-legged, six degrees of freedom (6-DOF) hybrid shake table with a cost-effective design and decoupled motion control, offering a viable alternative to conventional six-legged models.

This architecture effectively decouples actuator motions by employing hydraulic actuators for 3-DOF spatial movement and electromechanical actuators for 3-DOF planar motion. Servo-hydraulic actuators support the static payload against gravity, while lightweight electromechanical actuators …

Structural Response Of Rc Columns Strengthened Using Bfrp Based Bfegc System – Under Fire And Cooling Regime, Ruba P

Theses and Dissertations

Retrofitting fire-damaged columns is essential for restoring structural integrity. This study evaluates the effectiveness of BFRP based Basalt fiber Engineered Geopolymer Composites (BFEGC). The performance of basalt fiber wrapping and BFEGC was tested for fire protection system and retrofitted system. An optimal BFEGC mix achieved a compressive strength of 55.34 MPa, with split tensile strength, flexural strength, and strain hardening behaviour of 15.5 MPa, 5.13 MPa, and 6% respectively.

Microstructural analysis was accessed for the optimum mix. Durability tests include water absorption, sorptivity, and RCPT which confirmed compliance with standards. Thermo gravimetry analysis (TGA) shows the minimal weight loss of …

Hindcasting The Occurrence Time Of Major Earthquakes Using Machine Learning And Time Series Analysis, Rubidha Devi D

Theses and Dissertations

An earthquake is an intense shaking of the ground that typically occurs when tectonic plates move beneath the surface of the Earth. Scientists analyze historical seismic records and geophysical and atmospheric signs to build models estimating the probability of major earthquakes by detecting patterns and anomalies in data such as ground deformation and seismic waves. This study would help in predicting earthquakes to minimize risks of people and buildings.

The present study investigates the devastating earthquakes along the Chilean subduction zone in South America, linking non-seismic data to machine learning predictions of Outgoing Longwave Radiation (OLR) and Relative Humidity (RH) …

Encountering And Mitigating Selfish Mining In Bitcoin Mining Pools, Jeyasheela Rakkini M J

Theses and Dissertations

Blockchain, an innovative decentralized distributed, disrupting programming paradigm embodies key principles such as decentralization, data provenance, immutability, and transparency. At its core blockchain begins with the genesis block and progresses with each subsequent block containing the hash of the previous block, Merkle root, timestamp, a coin base transaction address, and a nonce. Miners compete to discover a target hash value (hash value of the previous block and nonce) for the current block, that is less than or equal to the difficulty value set by the system, a process known as mining.

This work encounters selfish mining attacks in bitcoin mining …

Effect Of Osmolytes On The Interplay Of Water Protein And Dna In Ecori Dna Recognition Using Molecular Dynamics Simulations, Aathithya D

Theses and Dissertations

EcoRI is a type II restriction endonuclease that has been widely used as a model system to study protein-DNA interaction owing to its high degree of specificity. This enzyme does not recognize even a single basepair change in its recognition sequence, (GAATTC)2, under normal conditions. However, in the presence of osmolytes, such as glycerol and DMSO, the specificity of EcoRI is slightly relaxed and recognizes sequences that differ from its cognate sequence in the first basepair position. This relaxed specificity has been attributed to the dehydration of the EcoRI-DNA which presumably results in tighter complex formation and subsequent catalysis. However, …

Computational Studies On The Major Antioxidant Enzymes Of Wuchereria Bancrofti Towards The Development Of Anti Filarial Leads, Sureshan M

Theses and Dissertations

Lymphatic filariasis (LF), or elephantiasis, is a mosquito-borne parasitic disease affecting the lymphatic system, primarily in tropical and subtropical regions. It is the second leading cause of long-term disability and a neglected tropical disease. According to WHO, LF threatens 882 million people in 44 countries, with over 9 billion treatments administered. The disease is caused by three nematodes: Wuchereria bancrofti (90% of cases worldwide, including India), Brugia malayi (10% in Southeast and Eastern Asia), and Brugia timori (found in Timor and nearby islands). Lymphatic filariasis (LF) is an ancient disease that continues to challenge scientists and physicians. Current treatments include …

Impact Of Ionic Liquids On The Treatment Of Various Derivatives Of Prosopis Juliflora For Removing Toxic Pollutants From Wastewater, Karthikeyan A

Theses and Dissertations

Water resources are increasingly contaminated by toxic pollutants, particularly industrial effluents, posing significant environmental concerns. Addressing the toxicity of these pollutants, especially those released from textile industries, presents challenges due to their harmful effects on living organisms. Various treatment methods are employed to mitigate this issue, including coagulation, flocculation, membrane filtration, photocatalytic degradation, adsorption, anaerobic processes, and chemical oxidation. Among these, adsorption emerges as an effective and economical method due to its minimal secondary contamination, negligible sludge production, and the use of inexpensive agricultural and marine waste materials.

This study examines the ability of Prosopis juliflora treated with imidazolium-based ionic …

Comparative Analysis Of Copyright In Electronic Games And Its Impact On Personality Rights, Abhinaya R

Theses and Dissertations

In India and globally, the electronic gaming business is a rapidly growing and evolving sector both in terms of revenue as well as technological creativity. Over the last 20 years, the video game business has seen significant change. It has transcended borders and is no longer limited to a single or a few players played within a room. Modern video games, unlike their predecessors, include many distinctive visuals and other components are and closely compared to motion pictures.

Electronic games and their complexities present unique challenges to copyright law. In this research, the researcher explores and examines issues in the …

Management Concepts In Shishupalavadha, Sathyanarayanan V

Theses and Dissertations

Management of organizations, people, and entities has been a subject matter of great interest today. Schools of business and management were established in the West about 125 years ago, and countries in other parts of the world, including India, simply followed these practices. Consequently, there is a widespread feeling today that management concepts originated in the West. All Indian business schools teach management concepts propounded by Western scholars in the last 100 years or so.

Going by the first principles, whenever multiple people, resources, entities, and institutions are involved, there is a requirement for Management. This implies that management as …

Hindcasting The Occurrence Time Of Major Earthquakes Using Machine Learning And Time Series Analysis, Rubidha Devi D

Theses and Dissertations

An earthquake is an intense shaking of the ground that typically occurs when tectonic plates move beneath the surface of the Earth. Scientists analyze historical seismic records and geophysical and atmospheric signs to build models estimating the probability of major earthquakes by detecting patterns and anomalies in data such as ground deformation and seismic waves. This study would help in predicting earthquakes to minimize risks of people and buildings. The present study investigates the devastating earthquakes along the Chilean subduction zone in South America, linking non-seismic data to machine learning predictions of Outgoing Longwave Radiation (OLR) and Relative Humidity (RH) …

Artificial Intelligence-Based Adaptive Data-Driven Techniques For Disruption Prediction In Tokamak, Priyanka M

Theses and Dissertations

Tokamaks are nuclear fusion reactors designed to generate sustainable energy by confining plasma, yet plasma disruptions remain a major obstacle as they can damage reactor components and interrupt fusion reactions. Addressing this challenge requires reliable models that can classify plasma discharges and predict disruptions in advance. This thesis develops machine learning and deep learning approaches to improve both classification and forecasting.The first contribution is a semi-supervised active learning framework, Nearest Margin-Ranked Batch Mode Active Learning (NM-RBMAL), integrated with an ensemble model.

Unlike traditional classifiers that operate on static training data, this approach continuously adapts to new plasma conditions, reducing model …

Ai Based Early Detection Of Hormonal Imbalance And Poly-Cystic Ovary Syndrome In Young Women, Reka S

Theses and Dissertations

A hormonal disorder, Poly-Cystic Ovary Syndrome (PCOS) usually affects women during the reproductive age. It is characterised by imbalances in hormones, particularly a rise in the female body's androgen level (male hormone) and enlarged ovaries with small cysts. PCOS can cause ovarian cysts, weight gain, acne, excessive hair growth, insulin resistance, and irregular menstrual cycles along with other health problems. While the exact origin of PCOS is uncertain and its symptoms are unclear, diagnosing PCOS in real-world conditions is a difficult task. Therefore, prompt and precise PCOS diagnosis is essential for efficient treatment and for averting long-term issues.

Clinicians typically …

Biogenic Calcite Precipitation For Coastal Sand Stabilization: A Synergistic Approach Using Marine Bacteria And Natural Fibers, Aparna Gs

Theses and Dissertations

Coastal erosion, driven by natural forces such as waves, tides, winds, and currents and further intensified by anthropogenic activities like urbanization, climate change, and coastal infrastructure development, poses a significant threat to shoreline stability. Conventional erosion control methods, including jetties, embankments, and artificial reefs, often face limitations in sustainability and effectiveness. In this context, microbially induced calcite precipitation (MICP) has emerged as a promising ecofriendly solution for ground stabilization.

The present study investigates the potential of an indigenous ureolytic marine bacterium, Bacillus sp. N₉, isolated from the coastal sediments of Nagapattinam, Tamil Nadu, for coastal sand stabilization. The strain was …

Bioprospecting Of Wheat Straw Pyrolysis Aqueous Phase To Combat Multi-Drug Resistant Pathogens, Srividhya K

Theses and Dissertations

Hospital-acquired infections (HAIs) significantly contribute to the emergence and spread of antimicrobial resistance (AMR), primarily through the contamination of high-touch surfaces. Current disinfectants have drawbacks like high environmental persistence, ecotoxicity, and resistance development, prompting the need for environmentally friendly alternatives.

One potential approach is pyrolysis, during which the biomass components are broken down into solid, liquid, and pyro-gas. The aqueous phase of the liquid fraction is usually discarded as waste, but it contains a variety of organic compounds that have the potential for antibacterial and antifungal activity. The present study assessed the anti-infective and anti-biofilm properties of wheat straw pyrolysis …

Fabrication Of Transparent Conducting Electrodes By Chemical Approaches & Their Application Towards Sensing And Energy Storage, Namuni Sneha

Theses and Dissertations

In the intelligent era, there is a growing demand for developing highly efficient and robust wearable electrodes through simple chemical approaches. We developed highperforming transparent electrodes using interconnected Au nanoparticle networks via a simple liquid-liquid interface approach that offers high conductivity, transparency (>85%), and mechanical durability. Additionally, the prepared electrodes exhibit tunable transmittance and sheet resistance, and the method was also adaptable to various substrates without harsh chemical or thermal treatments.

Furthermore, using Au 1L (1-layer) nanonetwork, a highly transparent breath sensor is fabricated with short response and recovery times (1.1 s and 1.3 s). The Au-1L sensor is …

Design And Investigation Of Deep Eutectic Solvent-Assisted Extractive Fermentation Of Biomolecules, Ramya M

Theses and Dissertations

The increasing demand for sustainable and efficient bioprocessing techniques has prompted the development of novel separation strategies integrating bioproduction with downstream processing. Extractive fermentation has emerged as a promising process intensification to overcome product inhibition and enhance productivity by constantly removing target biomolecules from the fermentation medium. Although the extractive fermentation of acids and alcohols has been extensively studied, less attention has been focused on green solvents and their compatibility, phase-forming abilities, and reactor configurations.

Therefore, advancing extractive fermentation technology necessitates comprehensive studies on solvent systems and the development of modified bioreactor configurations to aid future optimization. Initially, 22 DESs …

Fabrication Of Protein-Based Nanomicelle Against Inflamed Synoviocytes In Rheumatoid Arthritis, Madhumithra Thangadurai

Theses and Dissertations

Rheumatoid arthritis (RA) is a chronic autoimmune disease marked by persistent synovial inflammation, progressive cartilage and bone destruction, and systemic complications. 1% of the global population are affected by RA, when their immune system targets synovial tissues, leading to joint pain, swelling, and functional disability. Standard treatments, such as disease-modifying antirheumatic drugs (DMARDs) like methotrexate (MTX), are limited by systemic toxicity and inconsistent patient responses, highlighting the need for improved therapies. This research work explores protein-glycosaminoglycan nanomicelles engineered using Zein with Chondroitin or carboxymethylated Dextran Sulfate as targeted drug delivery vehicles for RA.

MTX was encapsulated within these nanomicelles to …

Aerodynamics And Vibrational Characteristics Of Vertical Axis Wind Turbine With Bio-Inspired Lep (Leading Edge Protuberance) Blades, Karthik Vel E

Theses and Dissertations

The growing wind energy sector and demand for renewable energy have led to increased wind turbine installations and alternatives to horizontal-axis wind turbines, such as small-scale turbines. The trends are shifting toward the use of readily available energy alone or with sustainable sources, such as solar or geothermal energy. The creation of self-sustaining energy capture and urban installations for developing smart grids is in great demand. A vertical-axis wind turbine is one such alternative. The performance of vertical-axis wind turbines is affected by drag, dynamic stalls, and vibrations from turbulent flow. Time-varying flow causes structural instabilities, leading to the vibration …

Metal-Organic Frameworks And Nanostructured Materials For Environmental Applications, Arunkumar G

Theses and Dissertations

The global population and economic development are experiencing rapid growth. Concurrently, environmental challenges such as global warming, soil, water, and air pollution are also rising. Each year, approximately 700,000 tonnes of products are generated from 100,000 tonnes of commercial dyes. Following their use, these dyes are often released into water bodies.

This contamination of water and land results in the formation of mutagenic and carcinogenic substances harmful to living organisms. Therefore, it is imperative to treat industrial wastewater to enable its recycling for various applications. Parallelly, the vehicles are becoming indispensable to human life modern world's urbanization and advancement.

The …

Impact Of Exchange Traded Funds (Etf) Holdings On Retail Investors’ Mutual Fund Portfolios Performance, Arunachalam R Mr

Theses and Dissertations

As evidenced by the practices passed down through generations the importance of savings and investments is well established in Indian culture. Indian investors consider investment as an essential commitment to financial sustainability and safeguarding dependents. Indians implement investment strategies during their working years to ensure long term financial security and support for future generations.

These cultural practices support the foundation of personal finance in India and well established financial theories (MPT, CAPM and EMH) guide optimising investment outcomes (SEBI, 2020). The effects of inflation and increased life expectancy made Indian investors aware of the need for a substantial financial corpus …

Investigation Of Dependency Parsing Techniques For Digital Document Analysis Through Deep Learning Approach, Rekah D Ms

Theses and Dissertations

Digital document dependency parsing is a significant task in natural language processing. Dependency parsing supports verification of the grammatical correctness of a sentence besides enabling extraction of relevant documents. Inappropriate extraction of features may result in falsely parsing a document, leading to decreased accuracy. Machine learning methods have been employed to perform feature extraction. However, selecting pertinent features was never achieved which minimizes the time consumption and overhead.

Hence, novel machine learning and deep learning techniques have been designed in our work for accurate and computationally efficient digital document analytics through dependency parsing. Four different contributions have been proposed for …

Bridging Scales In Epidemic Modeling From Individuals To Networks And Ecosystems, Saiprasasd Vr

Theses and Dissertations

Epidemics have shaped the trajectory of human history, repeatedly exposing vulnerabilities in healthcare systems and influencing socio-economic dynamics on a global scale. The COVID-19 pandemic, in particular, underscored the pressing need for flexible and responsive modeling framework capable of adapting to dynamic and evolving epidemic scenarios. Motivated by these challenges, this thesis explores the development of innovative epidemic models that integrate classical mathematical modeling techniques, network-based frameworks, and modern data-driven approaches. Each chapter addresses a distinct dimension of epidemic spread, from vaccination dynamics and community coupling to ecological complexity and adaptive human behavior, culminating in a model-free paradigm suitable for …

Evidentiary Practices In Arbitration: Need For A Minimum Framework, Krishnaja Olappamanna

Theses and Dissertations

Indian arbitration has emerged as a preferred method of dispute resolution, offering the benefits of flexibility, cost-effectiveness, and confidentiality over conventional litigation. Although this flexibility, more specifically in evidentiary matters, has brought procedural inconsistencies and uncertainties that detract from the enforceability of arbitral awards.

This is in line with Section 19 of the Arbitration and Conciliation Act of 1996, which prohibits arbitral tribunals from following the Indian Evidence Act of 1872 or the Code of Civil Procedure of 1908. While the provision allows procedural autonomy, it also brings with it an uncertainty in the evidentiary process of arbitrations, mostly when …

Cyclone Intensity Prediction In The Bay Of Bengal Using Deep Learning Methods, Senthil Kumar J

Theses and Dissertations

The Bay of Bengal region's coastlines have been badly devastated by tropical cyclones, as the region experiences an average of five to six cyclones per year, with about two to three of these intensifying into tropical storms or severe cyclones. Thus it necessitates to study the accurate and efficient forecasting of their intensity to improve preparedness and response to natural disasters. The present study compares and examines three distinct approaches to cyclone intensity prediction using historical datasets from 1998 to 2020: hybrid optimisation, deep learning-based, and empirical approaches.The predicted accuracy, computational effectiveness, and feasibility for real-time scenarios of each model …

Development Of Powder Activator From Agro-Industrial Waste And Its Application In The Preparation Of One-Part Alkali Activated Concrete, Anoop Kn

Theses and Dissertations

The environmental concerns associated with the traditional ordinary Portland cement (OPC) such as CO2 emission and high energy demand along with resource depletion as binder has led to the development of alkali activated binders (AABs). Even with the reduction in environmental issues, the implementation of AAB in practice is hindered by the handling issues of liquid activators. Hence, it is required to develop AAB with powdered activators to address the handling issues and to further reduce the environmental issues related to the production of activators. This research investigates the development of one-part alkali-activated concrete (OAAC) system utilising wastederived materials as …

Design Of An Integrated Lightweight Cryptographic Algorithm For Device Level Security And Fraternal Cryptographic Algorithm For Communication Security In Medical Cyber Physical Systems, Vimala Devi P

Theses and Dissertations

Healthcare involves detecting symptoms, diagnosing conditions and giving treatment to patients. It is one of the fundamental human rights, and it might be difficult to provide healthcare to those with chronic illnesses, elderly people with disabilities and those under distant observation. The World Health Organisation (WHO) states that Cardio Vascular Disease (CVD) is the leading cause of death worldwide.

According to the prediction, CVD-related causes such as heart attacks and strokes, could result in 23.3 million deaths by 2030. In addition, the number of people with diabetes will reach 246 million; thereby, the prevalence of CVD patients and diabetics will …