Cover page
Species Name: Crocothemis servilia.
Crocothemis servilia is commonly known as scarlet skimmer, and belongs to the Order Odonata, Family
Libellulidae. In this picture Crocothemis servilia is in Obelisk posture. The ”obelisk posture” refers to a
handstand-like position adopted by certain species of dragonflies and damselflies in order to regulate their body
temperature and prevent overheating on sunny days. This unique behavior involves the elevation of the abdomen
until its apex is oriented toward the sun, thereby reducing the amount of body surface exposed to direct solar
radiation. This alignment becomes most pronounced when the sun is positioned almost directly overhead,
creating a visual resemblance to an obelisk-like structure.
Managing Editor Chief Editor Editorial Board Correspondence
Ninan Sajeeth Philip Abraham Mulamootil K Babu Joseph The Chief Editor
Ajit K Kembhavi airis4D
Geetha Paul Thelliyoor - 689544
Arun Kumar Aniyan India
Jorunal Publisher Details
Publisher : airis4D, Thelliyoor 689544, India
Website : www.airis4d.com
Email : nsp@airis4d.com
Phone : +919497552476
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Editorial
by Fr Dr Abraham Mulamoottil
airis4D, Vol.1, No.9, 2023
www.airis4d.com
The 9th edition of airis4D Journal must not overlook Indias recent strides in its space program. The voyage
to the moon began with Chandrayaan-1’s launch in 2008, marking a significant milestone in Indias space journey.
This mission proved pivotal, marking Indias first successful endeavour beyond Earth. Notably, Chandrayaan-
1’s breakthrough discovery of water molecules on the moons surface transformed scientists perception of our
closest cosmic neighbour. The missions orbiter played a pivotal role, opening doors for forthcoming missions
to investigate lunar resources and delve into the moons composition. Taking inspiration from Chandrayaan-1’s
success, India embarked on the ambitious Chandrayaan-2 mission in 2019. This mission aimed to expand lunar
knowledge by endeavouring to land a rover on the moons surface softly. Although the lander experienced
a challenging touchdown, the orbiter continued its lunar orbit, beaming back valuable data. Chandrayaan-2
underlined Indias prowess in executing intricate space manoeuvres and brought it closer to achieving a delicate
lunar landing. A groundbreaking achievement arrived in August 2023 with India’s most recent lunar endeavour,
Chandrayaan-3. It accomplished a triumphant landing near the lunar south pole, firmly establishing Indias status
as a prominent figure in the global space arena. Beyond the successful touchdown, Chandrayaan-3 showcased
Indias unwavering determination and cutting-edge space technology, solidifying its position as a trailblazer.
The missions success demonstrated prowess and underscored Indias commitment to exploring uncharted lunar
territories. These lunar expeditions encompass more than scientific quests; they encapsulate Indias aspirations
to transcend conventional boundaries in space exploration. They have yielded invaluable insights into lunar
geology and composition, laying the groundwork for future lunar endeavours and potentially even setting the
stage for human exploration. As India consistently invests in space technology, its lunar endeavours inspire its
citizens and the global community. These missions are not just contributions to scientific knowledge but also
sources of pride and curiosity that transcend geographical borders. The Indian Space Research Organisation
(ISRO) has notched remarkable milestones in space exploration, spotlighting Indias prowess in the field.
However, persistent Western scepticism and condescension regarding Indias simultaneous investment in space
and efforts to tackle domestic challenges like poverty remain a recurring narrative. Critics question resource
allocation, suggesting funds could be better applied elsewhere. India’s retort to these concerns underscores its
position as the world’s fifth-largest economy and emphasises its accomplishments. It underscores that economic
growth and technological advancement are paralleled by initiatives addressing societal development. Indias
accomplishments in space challenge colonial narratives of inferiority and echo its ascent as a global force. These
successes resonate with historical contexts, countering economic exploitation during British colonisation and
spotlighting Indias determination to reshape its narrative on a global stage. Evidenced by India’s successful
lunar landings, claims of fabrication that have plagued other space programs are effectively dispelled. ISRO’s
transparent sharing of scientific data validates the authenticity of Indias achievements and underscores its
dedication to credible space exploration. This ongoing debate underscores the significance of a nation shaping
its narrative, sidestepping external manipulation and misrepresentation. This case reminds us that controlling
narratives is pivotal to presenting a balanced and precise portrayal of achievements and challenges. It reinforces
that narrative control is vital in avoiding external biases and misconceptions. In conclusion, Indias journey is
multifaceted, navigating intricate paths toward progress. A common misconception often arises: Can a country
effectively pursue its development agenda while addressing poverty? The answer, as India has demonstrated,
is a resounding yes. Indias development agenda and poverty alleviation projects are not opposing forces;
they are two sides of the same coin, working to uplift the nation. These two facets synergise, ultimately
lifting the nation. This edition of airis4D explores firstly the ”Difference Boosted Neural Network” (DBNN)
architecture and its extension called ”Enhanced Difference Boosted Neural Network” (E-DBNN). The approach
enhances performance compared to traditional methods like Naive Bayes. The author, Blesson George, shares
E-DBNN’s Python code on GitHub and focuses on machine learning algorithms for protein studies. The second
article discusses text summarisation techniques in ”From Information Overload to Clarity: The Power of Text
Summarization (Part 2)” by Jinsu Ann Mathew. It covers extractive and abstractive summarisation methods.
Extractive summarisation selects essential sentences from the source text to form a summary, while abstractive
summarisation generates new sentences that capture the essence. Abstractive methods include structure-based,
maintaining original structure, and semantic-based, creating new sentences with similar meanings. The article
equips readers to understand different summarisation strategies and their applications. The third article, ”Guide
to Practical Machine Learning for Astronomy - Part I” by Linn Abraham, provides a practical guide for those
in a scientific background interested in entering machine learning. It outlines the stages of a machine learning
project, covering technical setup, programming languages, and code version control. The article also introduces
resources for learning Python, machine learning courses, and using GitHub. It emphasises the importance of
version control using Git and highlights helpful resources for learning and development. The fourth article,
”The Hertzsprung-Russell Diagram: Exploring Stellar Evolution and Diversity” by Robin Jacob Roy, introduces
the Hertzsprung-Russell (HR) diagram, a fundamental tool in astronomy. The diagram categorises stars based
on luminosity, temperature, spectral type, and evolutionary stage, revealing insights into their properties and
life cycles. It discusses the main features of the HR diagram, such as luminosity, temperature, spectral type, and
evolutionary stage. It explains its use in understanding different types of stars, including main sequence stars,
red giants, supergiants, white dwarfs, and more. The HR diagram is a crucial tool for comprehending stellar
evolution and diversity. The fifth article, ”X-ray Binaries” by Sindhu G, discusses X-ray binaries, a category
of binary star system containing a compact object (neutron star or black hole) and a companion star. These
binaries emit X-ray radiation due to material accumulation onto the compact object, often through processes like
Roche lobe overflow. They can be classified into low-mass X-ray binaries (LMXBs), high-mass X-ray binaries
(HMXBs), and intermediate-mass X-ray binaries (IXRBs) based on the mass of the companion star. LMXBs
involve low-mass stars transferring material through Roche lobe overflow, HMXBs consist of massive stars with
strong stellar winds, and IXRBs feature intermediate-mass stars as donors. These binaries provide insights into
accretion processes and interactions between stars and compact objects, contributing to our understanding of the
universe. The sixth article, ”Microflora of the Intestine,” by Geetha Paul, discusses the complex gut microbiota
ecosystem, which consists of over 400 to 1000 bacterial species in the human digestive tract. It highlights how
this ecosystem impacts digestion, nutrient absorption, immune modulation, and protection against pathogens.
Factors like diet, genetics, and environment influence the microbiota composition. Dysbiosis, an imbalance in
the microbiota, is linked to various health conditions. The article also covers advanced techniques, such as DNA
sequencing and metabolomics, used to study and understand the gut microbiotas roles in maintaining health and
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causing diseases. The last article, ”Understanding Convolutional Neural Networks” by Ninan Sajeeth Philip,
explains the significance and functioning of Convolutional Neural Networks (CNNs). CNNs are a class of neural
networks well-suited for grid-like data, particularly images. The article delves into how CNNs automatically
generate features from images and discusses their architecture, including convolutional and pooling layers. It
also covers key concepts such as activation functions, strides, padding, and flattening. The article provides a
code example using TensorFlow and Keras to create a simple CNN model for image classification using the
CIFAR-10 dataset.
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Contents
Editorial ii
I Artificial Intelligence and Machine Learning 1
1 Difference Boosted Neural Network(DBNN) - Part 4 2
1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.2 Multiple feature connections as likelihood . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.3 Code Availability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2 From Information Overload to Clarity: The Power of Text Summarization (Part 2) 5
2.1 Construction of an intermediate representation of the input text . . . . . . . . . . . . . . . . . 6
2.2 Scoring the sentences based on the representation . . . . . . . . . . . . . . . . . . . . . . . 6
2.3 Selection of a summary comprising several sentences . . . . . . . . . . . . . . . . . . . . . . 7
2.4 Structure-Based Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.5 Semantic-Based Approach . . . . . . . . . . . . . . . . . . .