Volume 13 | Issue 1

 Abstract

Composite materials are been used for numerous components and structures in aerospace industry. Many of these components require machining during their fabrication. Drilling of composite materials is very difficult to carry out due to damage being induced into the component in the form of delamination, fiber pullout, and local cracks. Further, rapid wear development in the cutting tool also takes place during drilling of composite materials. Conventional machining processes such as turning, drilling or milling can be applied to composite materials, provided proper tool design and operating conditions are adopted. Kevlar Aramid Fiber Reinforced Plastics (K-1226) is widely used in the industry due to its chemical stability at high temperature and resistance to wear. Studies show that conventional cutting of this laminates are extremely difficult due to the frictional force developed via thermal expansion of substrate material which has restricted the use of Kevlar component. In this regard, an attempt has been made to describe the effective method for drilling K-1226 material using solid carbide step drill K-34 to drill a hole of 9mm diameter for varying thickness. The drilled Laminates are examined using C-Scan Analysis. From the analysis it is observed that for lower thickness K1226 laminate with higher feed rate, spindle speed and cutting speed no delamination occurred. Hence, it is be concluded that the solid carbide step drill K34 was found suitable for machining of Kevlar K1226 laminates of 8,10 and 12mm thickness.

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Effect of Drilling of Kevlar Aramid Fiber Reinforced Plastics (K-1226) Laminates Using Solid Carbide Step Drill K34

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Chitra Banerjee Divakaruni's novels Sister of My Heart and The Vine of Desire provide a rich exploration of personal and relational metamorphosis within the context of cultural, social, and emotional upheavals. The two novels follow the intertwined lives of Anju and Sudha, cousins bound by an intimate sisterhood yet shaped by divergent experiences of tradition, love, and displacement. This study investigates the transformative journeys of these characters as they navigate identity, loss, and resilience. By employing thematic and narrative analyses, this research elucidates the role of familial bonds, cultural expectations, and diasporic tensions in shaping their evolution. It demonstrates how Divakaruni intertwines the personal with the universal, portraying metamorphosis as a continuous negotiation of selfhood within complex cultural and emotional terrains. Their journeys encompass personal growth, relational evolution, and cultural displacement, offering a rich tapestry of identity reconstruction. This study analyzes how Divakaruni weaves themes of tradition, diaspora, and emotional resilience into the metamorphic arcs of her protagonists. Through a critical lens, the paper highlights the transformative processes that shape their lives, underscoring the intersection of cultural expectations and personal agency in defining their narratives.

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communal existence, alienation, hybridity, in-between ness, colonial power, diaspora.

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The Indian logistics industry is undergoing a transformative shift with the rapid adoption of digital freight marketplaces. These platforms leverage advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and data analytics to optimize freight management, streamline transportation, and enhance operational efficiency. Digital freight marketplaces connect shippers, carriers, and logistics providers on a unified platform, reducing empty miles, improving vehicle utilization, and minimizing delays. This paper explores the evolution of digital freight solutions in India, analyzing their impact on cost reduction, environmental sustainability, and supply chain resilience. The study highlights key players such as Blackbuck, Rivigo, and TruckSuvidha, detailing their technological innovations and service models. Furthermore, the paper evaluates government policies like FASTag and e-way bills that facilitate digital transformation in the freight sector. Despite notable advancements, challenges such as data security risks, infrastructure limitations, and adoption barriers persist. The review concludes with recommendations for improving digital freight platforms through enhanced data integration, predictive analytics, and policy support to establish a robust and efficient logistics network in India.

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 Keywords

Digital freight marketplace, Indian logistics, supply chain optimization, AI in logistics, FASTag, e-way bill, freight management, transportation technology, Blackbuck, Rivigo.

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In contemporary business landscape, numerous enterprises have transitioned from conventional brick-and-mortar models to online platforms, capitalizing on the burgeoning e-commerce ecosystem. Understanding the nuances of customer satisfaction in this digital age is paramount, as it directly influences repeat purchase behavior and brand loyalty. This research delves into the multifaceted factors that influence consumer satisfaction in the realm of online buying, a domain experiencing exponential growth due to increased accessibility to affordable internet and smartphones. The primary objective is to dissect the key determinants that shape consumer perceptions and subsequent satisfaction levels derived from online purchasing experiences. To effectively gauge consumer satisfaction, this research will explore several pivotal constructs, including website design, convenience, security, product variety and ease of shopping and their influence on shaping overall customer satisfaction. While a significant portion of consumers find e-commerce platforms user-friendly and helpful for product comparisons, enhancements in visual appeal and personalized suggestions are needed to better align with consumer expectations with data security and privacy.

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Keywords: Online Buying, convenience, product selection, website design

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The rapid growth of e-commerce has transformed the retail landscape in India, particularly in urban centers like Bengaluru. A multitude of demographic variables exert influence on an individual's inclination to engage in online purchasing activities. Age, for instance, often correlates with digital literacy and adoption rates, with younger demographics typically exhibiting greater comfort and familiarity with online platforms. Income levels also play a pivotal role, as higher disposable incomes may translate to increased purchasing power and a greater willingness to spend on online goods and services. This research paper aims to evaluate the influence of various demographic factors on online buying behaviors among consumers in Bengaluru. By analyzing age, gender, income, education, and occupation, this study seeks to provide insights into how these factors shape online shopping preferences and habits. An online survey of 513 respondents from different parts of Bangalore gave an insight into the influence of demographic factors influencing online buying. The findings will be beneficial for e-commerce businesses, marketers, and policymakers aiming to understand consumer behavior in the digital marketplace to develop marketing strategies to targeted towards specific group of consumers

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Online, Online buying, Demographic factors, online buying behaviour

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In the rapidly evolving landscape of science and technology, the emergence and widespread adoption of social media and online communities have profoundly influenced the perceptions and interactions of Generation Z, encompassing individuals born between the mid-90s and early 2010s. This heightened focus on the impact of social media on society by both individuals and the media has gained traction in recent years. Delving into a specific examination of Generation Z and its relationship with social media, this paper seeks to shed light on the intricate psychological repercussions experienced by this unique cohort. Generation Z stands out from previous generations due to their formative years being predominantly shaped by a digital realm, a factor that underscores the urgency in scrutinizing the unprecedentedly intricate psychological challenges faced by individuals today. Drawing insights from existing literature, this research endeavors to unravel the multifaceted implications of social media and online communities on the psychological well-being of Generation Z. The findings suggest that social media exerts a considerable influence on the mental state of individuals, showcasing both positive and negative ramifications on contemporary society. While social media platforms serve as vital avenues for connectivity and self-expression, they also introduce a myriad of novel hurdles. Nurturing the mental health of young individuals navigating this digital domain necessitates a delicate balance between harnessing the positive attributes of social media and remaining vigilant about its potential adverse effects.

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Psychology, Gen Z, Social Media, Knowledge, Influence

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The combination of semiconductor technology and artificial intelligence (AI) is radically changing agriculture. These advancements are enhancing sustainability, improving productivity, and addressing global food security challenges. This review explores the latest trends in semiconductor innovations for AI-driven agriculture, identifies key challenges, and examines market dynamics shaping the industry. We discuss the role of precision farming, autonomous machinery, and edge AI applications, alongside concerns such as energy consumption, material sustainability, and data security. The paper highlights investment growth, policy support, and collaborative efforts as crucial drivers in this domain. By understanding these elements, stakeholders can better navigate the evolving landscape of AI-powered sustainable agriculture.

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Semiconductor Innovations, AI in Agriculture, Agricultural Sustainability, Precision Farming, Edge Computing, IoT in Agriculture, Generative AI, Smart Farming, Agritech Market Trends, Climate-Resilient Agriculture, Agricultural Robotics, Sustainable Semiconductor Design, Data Privacy in Agritech

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The portrayal of women in Indian writing has long captivated the attention of scholars and readers, sparking in-depth discussions about the multifaceted representation of female characters in literature. This paper delves into an insightful analysis of Preeti Shenoy's novel "The Secret Wish List," strategically shining a spotlight on the sheer brilliance of Shenoy's narrative style while delving into uncharted territories within Indian writing in English. Specifically, the exploration extends into the realms of humanism, fiction, and feminism, elucidating how these elements interplay in shaping the lives and experiences of characters like Diksha in the novel. Diksha, a poignant embodiment of modern women grappling with societal expectations, is artfully depicted as she navigates the intricate web of personal sacrifices and societal norms prevalent in a male-dominated milieu. Her poignant struggles underscore the harsh reality faced by many women, who find themselves confined to submissive roles, their aspirations shackled by societal constraints. Amidst these challenges, however, Shenoy beautifully accentuates the theme of individual agency, showcasing Diksha's inspiring journey towards self-realization and empowerment. Vibrant and compelling, the character of Vibha emerges as a beacon of hope and catalyst for change in Diksha's life, igniting a transformative path towards independence and personal fulfilment. Through this thoughtful analysis, the paper not only enriches the discourse on the representation of women in Indian literature but also underscores the critical need to delve deeper into the nuances of this vibrant literary tradition, thereby paving the way for a more nuanced and inclusive understanding of gender dynamics and societal constructs.

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 Keywords

Wish list, gender equality, submissive, Discontented circumstances, Male supremacy, Existence

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Extract, Transform, Load (ETL) is now a significant component of most current generation data management systems and is utilized in the integration and transformation of data in preparation for analysis and reporting. This article is a comparison piece intended to evaluate IBM DataStage together with other ETL software in terms of testing and scalability. While based on a literature study and experimental results of ETL success factors, this research offers insights into the comparative advantages and qualities of different ETL tools and their suitable usage. From the presented results, it can be suggested that IBM DataStage performs well in first, providing a solid, scalable infrastructure for an enterprise; second, the transformations offered are very strong and versatile; and third, DataStage wins where cost and speed to implement are critical. This paper also provides a method for comparing ETL tools with reference to testing efficiency and scalability measures as a guide to informed implementations. In addition to the text, numerous results and principles are illustrated by figures, tables, and flowcharts in order to expand on the results sections of the study.

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ETL tools, IBM DataStage, Testing efficiency, Scalability, Data integration.

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 Abstract

f"k{kk ekuo thou dk ewy vk/kkj gSA f"k{kk ds }kjk ekuo thou dk fodkl gksrk gSA f"k{kk thou Ik;ZUr pyus okyh izfdz;k gSA gekjh Hkkjrh; f"k{kk O;oLFkk eq[;r% rhu Hkkxksa esa foHkkftr gS& izkFkfed Lrj] ek/;fed Lrj ,oa mPp LrjA vr% mPp Lrj ls gekjk rkRi;Z f"k{kk ds Lrj dk mPpre Lrj gSA ftlesa xq.koRrk ds fy, cqfu;knh ,oa izkFkfed f"k{kk fo"ks'k egRo j[krh gSA f"k{kk esa ckyd dh cqfu;knh ,oa izkFkfed f"k{kk ftruh etcwr gksxh] mPp f"k{k mruh gh xq.koRrk i.kZ gksxhA izkFkfed f"k{kk dh xq.koRrk iw.kZ cukus ds fy, ljdkj }kjk f"k{kk esa fo"ks'k izdkj dh ;kstukvksa dks vkjEHk fd;k x;k] ftlls gekjh Hkkjrh; f"k{kk O;oLFkk esa lq/kkj gks ldsaA vr% ;kstukvksa ds fdz;kU;ou ds fy, Hkh fo"ks'k izdkj ds izf"k{k.k vkfn dk Hkh izko/kku fd;k x;k] ftlesa f"k{kdksa dk Hkh fo"ks'k ;ksxnku jgkA izkFkfed fo|ky;ksa esa lapkfyr ;kstukvksa dh izHkko"khyrk ds fy, ftruk ;ksxnku ljdkj dk gS] mruk gh f"k{kdksa dk Hkh gSA D;ksafd ljdkj }kjk "kSf{kd ;kstukvksa dk flQZ fuekZ.k fd;k tkrk gS] ijUrq f"k{kd mUgs lapkfyr djrk gS] vkSj mls veyh tkek igukrk gSA f"k{kd ds Hkjld iz;kl ls gh Nk= mu ;kstukvksa ls ykHkkfUor gksrs gSaA

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nil

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 Abstract

Uttrakhand mein ghatit sadak durghatnayen

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Uttrakhand mein ghatit sadak durghatnayen

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The Doiyang Dhansiri Valley civilization of Ancient period along with its unique art forms has great potential in academic history. In the context of Ancient Assam, only the kingdom of Pragjyotisha or Kamrupa bordering North Bengal, Tibet and Hills of Northern Assam had gained proper attention for years. In recent terms, the region of Doiyang Dhansiri civilization between parts of Assam and Nagaland border had came into limelight. Sprouted in the alluvial tracts of the Doiyang and Dhansiri river basins this civilization has unique essence of art yet to be studied. The archaeological sources, i.e. - inscriptions, monuments and sculptures of various medium (wood, stone, terracotta) portray an enrich art collection with salient features. Amides those sculptural remains hold special importance due to their religious, aesthetic and representational values. An inquisitive insight of insane craftsmanship and iconography along with societal values reflects through these art forms. Under the influence of Classical Gupta Art, the stone art of Doiyang Dhansiri Valley adopted fusion of various social elements and regional trends. These influences are evident in the structural features of sculptures, including wide open eyes, lack of spiritual expression, round faces, thick lips and stout bodies. According to H. N. Dutta, sculptures of around 600 AD to 900 AD exhibit distinct characters. This early phase of art movement began at Duborani making the tradition popular as Regional School of Duboroni Art. Scholars like M. N. Dutta traced the origins of these early art forms to Deopani. Since 900 AD, this regional school of art went out existence under the shadow of the East India School of Medieval Art (EISMA). This new style was marked by innovations, particularly in the carving of Kirttimukha and the facial treatment of some anthropomorphic sculptures.

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Doyang Dhansiri Valley, Art, Deopani, Duboroni, EISMA

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 Abstract

Ultrasonic testing is essential for ensuring the safety and reliability of pipelines used for transporting H2, CO2, crude oil, and natural gas. Automated ultrasonic testing systems, employing arrays of transducers/probes arranged in fixed patterns such as X, I, K, on-bead, or wheel probes, are commonly used by manufacturers to detect both longitudinal and transverse defects in various types of pipes, including L-SAW, H-SAW, ERW, or seamless pipes. However, the challenge lies in detecting defects that can occur in any direction, necessitating the use of multiple transducers. While phased array probes are available, they still send ultrasound in a single direction with varying angles. In this study, I investigate the feasibility of using a single transducer/probe with multiple crystals mounted at different angles or a rotating transducer/probe which can scan in different directions to detect defects oriented in different directions. This approach leverages the law of reflection to maximize defect detection while minimizing the number of transducers/probes required, thus potentially enhancing both efficiency and cost-effectiveness in pipeline inspection processes.

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Phased Array, Multi Directional Transducer, Ultrasonic Testing, Steel pipe, calibration

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Periodontitis, a widespread oral condition, can have far-reaching effects on overall bodily health. Research has increasingly explored the potential links between periodontitis and various blood disorders. This study reviews existing literature on the connection between periodontitis and certain blood conditions, including red blood cell disorders like aplastic anemia and sickle cell anemia, as well as white blood cell disorders such as cyclic neutropenia, leukemia, and multiple myeloma. By examining these relationships, healthcare professionals, including physicians and dentists, can improve diagnosis, monitoring, and treatment of patients with both oral and blood disorders, emphasizing the importance of collaborative care for those affected by these interconnected conditions.

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Aplastic Anemia (AA), Multiple Myeloma (MM), Cyclic Neutropenia (CyN), Sickle Cell Disease (SCD), Non-Hodgkin lymphoma (NHL), Anemia of Chronic Disease (ACD), Acute Lymphoblastic Leukemia (ALL), Langerhans Cell Histiocytosis (LCH).

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The present study has been designed to investigate the mental health of rape-victim adolescent girls. A sample of total 100 rape-victim adolescent girls (50 from urban areas and 50 from rural areas of Chitrakoot district) were selected through purposive sampling technique. Mental Health Battery (MHB) by A.K. Singh and Alpana Sen Gupta was used to measure mental health. The findings show a mean difference between mental health scores of urban and rural rape-victim girls. (Urban - Mean 53.74, S.D. 9.31; Rural - Mean 67.60, S.D. 15.07). To see if these differences are significant, Critical Ratio (CR) value was calculated. The calculated CR value is 5.54, which is significant at 0.01 levels, thus, the null hypothesis stating "there is no significant difference in mental health scores between urban and rural rape-victim adolescent girl" is, therefore, rejected. The findings suggest that mental health of urban and rural rape- victim girls is different in Chitrakoot region. Rural rape victim girls are better in mental health than urban rape- victim girls.

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Key Words: mental health, rape victims, urban areas, rural areas, adolescents

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This paper explores the rich symbolism embedded in the art and architecture of ancient Indian stupas and temples, focusing on how these structures communicate spiritual and cosmological ideas. Stupas, primarily associated with Buddhism, and Hindu temples, deeply rooted in Vedic traditions, serve not only as places of worship but as profound representations of religious teachings, cosmic principles, and the human journey toward enlightenment or liberation. Through an analysis of architectural features such as the dome, central pillar, and circumambulatory path in stupas, and the sanctum, temple tower, and iconography in Hindu temples, this paper delves into the symbolic meanings that these elements carry. The study reveals how the design and decoration of stupas and temples create sacred spaces that guide devotees on a spiritual journey, facilitating a deeper understanding of the universe and the divine. Additionally, the paper compares the symbolic expressions found in both structures, highlighting common themes such as the representation of the cosmos, the path to spiritual awakening, and the role of the sacred space in fostering a connection with the divine. By examining these symbolic elements, this research underscores the cultural and philosophical significance of these architectural forms in ancient India, demonstrating their enduring influence on religious art and architecture worldwide. Symbolism in Iconography is a crucial aspect of both stupas and temples in ancient Indian art, where the representation of deities, sacred motifs, and mythological scenes conveys profound religious, spiritual, and philosophical messages. In the context of stupas and temples, iconography serves as a visual language, enabling practitioners to engage with divine principles and teachings. The symbolism in these visual elements reflects the cosmic order, the nature of the divine, and the moral and spiritual journey of the devotee.

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Stupa, Buddhism, Enlightenment, Dome, Sanctum, Temple

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 Abstract

Mundari Geet Ev Kavita Me Prakruti

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Mundari Geet Ev Kavita Me Prakruti

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This paper presents the implementation of the Advanced Aircraft Engine Failure Prediction System, a data-driven approach aimed at improving aviation safety and operational efficiency through machine learning. Building on the foundational concepts discussed in the review paper, this study details the development, integration, and testing of the prediction system using real-time and historical sensor data, including temperature, pressure, vibration, and fuel flow. We focus on the practical challenges encountered during system deployment, such as data preprocessing, feature engineering, and model optimization. By evaluating the performance of various machine learning algorithms in predicting the Remaining Useful Life (RUL) of engine components, this paper demonstrates the real-world application of the system, offering insights into its accuracy, reliability, and efficiency. The results underscore the potential of predictive maintenance strategies in reducing aircraft downtime, optimizing maintenance schedules, and cutting operational costs, contributing to safer and more cost-effective aircraft operations.

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Predictive Maintenance, Machine Learning Models, Aircraft Engine Failure, Sensor Data Analysis, Remaining Useful Life (RUL), Classification and Regression Models, Operational Efficiency, Engine Degradation Indicators, Proactive Maintenance Solutions

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Plants that are deemed undesirable in a certain circumstance are known as weeds; they are essentially "plants in the wrong place." It is necessary to control weeds because they contaminate the crop and lower its quality. Weeds hinder agricultural output, suffocate pastures, infiltrate crops, and occasionally endanger cattle. Their fierce competition for sunlight, water, and nutrients lowers agricultural productivity and degrades crop quality. On an agricultural farm, controlling weeds is one of the most challenging duties. After they are convinced of its benefits, farmers readily adopt mechanical weed control.Agricultural weeding machines with motors not only remove weeds between crop rows but also keep the soil surface loose, which enhances soil aeration and water-intake capacity. By using a motorised weeder, you can save time and labour costs. Because human-operated Weeders need muscle effort, they cannot be used for extended periods of time. Hand weeding by hand is a time-consuming process. This battery drive motorised weeder uses a battery-powered motorised mechanism. An agricultural tool used to eradicate weeds that impede crop growth is called a weeder. Petrol-powered power weeders frequently produce excessive vibration and emissions. An electric system is being installed in the weeder to solve these problems. The current 2-stroke gasoline engine provides the power. Due to a lack of personnel for fieldwork, the weeder is made to be manually operated and is positioned at the roots of weeds. The entire cultivated land is cleared of undesired plants once the instrument has been moved and the weeds are clipped.

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weeder, motor, battery, mounts and joints, weed cutter, two-stroke engine.

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Preterm birth is a pressing global health challenge, with over 15 million annual cases contributing significantly to neonatal mortality. This project explores computational advancements in predicting preterm births using multi-modal data. Key methodologies include machine learning algorithms, biomarker analysis, and genomic studies. By combining clinical data, imaging, and electronic health records (EHR), these systems enhance prediction accuracy and aid in preventive care. This paper reviews existing methods, challenges, and the integration of emerging technologies such as artificial intelligence (AI) and wearable devices, offering a path forward for improving maternal-fetal outcomes.

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Preterm Birth, Artificial Intelligence, Machine Learning, Biomarkers, Genomics, Prediction Models, Data Integration.

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