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Empowering women living with HIV AIDS A study on organisational strategies and challenges
The acts of discrimination and exclusion meted out to the people living with HIV/AIDS, and the stigma attached to the condition deprives the afflicted, of their capacity to exercise their fundamental rights and to access basic necessities. Specifically, the suffering of the women stricken by this chronic, incurable malady, the majority of whom from newlineeconomically weaker sections of our society is very poignant. From the time this pandemic broke out in 1984, world organisations, national and local organisations, both government and non-government have come to newlinethe aid of the PLWHA. Some of them cater singularly to the needs of the WLWHA, who are as such more vulnerable ever since the plight of the women living with the deadly disease was brought to light. But as the years went by, there has been a decline in the help extended to the WLWHA. This study is undertaken to ascertain the current state of newlineservices and strategies used by the organisations to empower the WLWHA and the challenges faced by the organisations in their endeavours. Appropriate questionnaires were administered to analyse the situations and find the facts about the services, strategies and challenges from the perspective of the organisation WLWHA. A few case studies of the WLWHA were done to delve into the depths of their perceptions. From the study, it has been learned that the organisations have prioritized medical and rehabilitation services to empower the women. Medical care is given directly by the organisations and also through networking with government bodies and other services newlineproviders. Affected women and family members are counselled for acceptance of the condition and familial and societal integration. Occupational therapy and vocational training are other strategies for newlineempowerment.Organisations provide nutritious food for the women and arrange for them to get the necessary provisions through Public newlineDistribution System (PDS) or through donors. -
Digital awakening religious communication in a virtual world
This paper explores the religious presence and possibilities in the virtual world. An analysis of communication progress leads to the present scenario of new media environment. Based on the idea of revelation and a system of autopoiesis, religion appears like a closed communicator. Religion's communication needs to be placed within the context of evolving new media environment. Basing on McLuhan's theory of extension, religious narratives need new forms of presence in the digital world. When it comes to diffusion of innovation (Everett Rogers) the state of religion appears precarious. From a communication perspective adoption of innovation by religion can come under the category of 'laggards' and 'luddites'. The transference of religion's presence from the real to the virtual demands new innovative and participatory models to serve the digital natives. 2015 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore), ISSN: 0253-7222. -
Work motivation of teachers: Relationship with organizational culture /
European Journal Of Educational Sciences, Vol.1, Issue 1, pp.547-560, ISSN No: 1857-6036. -
A Comparison of 2 Step Classification with 3-Class Classification for Webpage Classification
The content over internet increasing significantly each year and the web page classification is an essential areas of work upon for web-based information management, content retrieval, data scrapping, content filtering, advertisement removal, contextual advertising, expanding web directories etc. Multiclass classification methods is more popular and commonly use to classify web pages, and 2 step classification is our proposed system. In 2 step classifier, we use 2 primary model which works serially and perform binary classification at each level. The primary source of dataset contain thousands of URL(Uniform Resource Locator) of web pages. The content on webpage is extracted and stored on system to avoid the loss of data sue to the change in URL. The comparison between the two methods validated the system improvement and improved in different metric such as precision and recall using 2 step classification technique. 2 step classification technique is faster while training and also shows performance improvement. There proposed system shows improvement in the performance of the results but not something significant. 2022 IEEE. -
From resistance to readiness: Leveraging neuroscience perspectives for successful change management in the manufacturing sector
Change initiatives often encounter resistance from employees, impeding successful implementation. Leveraging insights from neuroscience can provide valuable guidance in navigating this resistance and promoting readiness for change. Social experiences in a work environment affect the brain positively or negatively. By understanding the brain's response to change, change managers can create a supportive environment and communicate accordingly. This study examines the impact of social experiences on readiness to change among employees in the manufacturing sector from a neuroscience perspective. SCARF is a neuroscience-based model that evaluates five dimensions of social experiences such as status, certainty, autonomy, relatedness, and fairness. This quantitative study is based on data collected from different manufacturing organisations. The results of this study provide insights into how change managers can address these social domains to promote successful change initiatives and improve employee readiness to change. 2023 by IGI Global. All rights reserved. -
Development and standardization of a tool to measure direction, motive and affect of social comparison among adolescents
Social comparison process is a pervasive social phenomenon (Suls, Martin and Wheeler, 2002). People very often make a comparison with others either intentionally or unintentionally in their daily life. This phenomenon of perceiving self in one s social standing in comparison to others can influence different outcomes including self-concepts, self-esteem, and distinct feelings.This evaluative method provides useful information to generate accurate evaluation about one s abilities and opinion, especially on self-related dimensions. This concepts is very relevant to study in the adolescent population, as children s development of self is largely shaped by social environment experience with family and friends. Social comparison plays an important role in adolescents development of one self-concept especially self-esteem in important dimensions of self. Having outlined the relevance of social comparison theory in the context of this research, it is imperative to attempt this type of exploration and developing a concept based assessment tool to measure different facet of social comparison theory-direction, motive and affect. newlineThis study followed mixed design to better set the context through theoretical and empirical approach for the development for a new tool. In the initial phase, concept exploration was done through literature review to understand the conceptual framework of the approach, followed by qualitative exploration using interview method on 12 adolescents and 4 school counselors. This exploration let to the development of items based on eight dimensions of self, identified in this study. In the second phase, a pilot test was conducted on a sample of 237 adolescents and fulfilled the initial psychometric cleansing of the tool. In the third phase, the main test was administered to sample of 531 adolescents age between (12-16 years). The initial construct analysis was assessed using confirmatory factor analysis and the scale satisfied the model fit hypothesis using structural equation model (SEM). -
Between Floods and Climate Change: Revisiting the Mishing Community of Majuli Island, Northeast India
The transformation of monsoon rainfall patterns in India, largely attributed to climate change, is leading to more frequent and severe floods. These escalating challenges underscore the imperative of prioritising adaptive measures, given the intrinsic link between humans and climate change. This research conducted in Majuli Island, a highly vulnerable region in Indias northeast, aims to understand current adaptive strategies and assess potential risks from impending physical exposures. Empirical evidence was collected using purposive sampling in two flood-prone villages. The objective was to revisit the Mishing communitys experiences with annual flooding and climate challenges. Thematic analysis interpreted the qualitative findings. Implications for community-based adaptation and sustainable practices are discussed for future flood and climate challenges. The study emphasises strengthening ecosystem-based adaptation through multi-sectoral networking in Majuli Island, Northeast India. 2024 IOS Press BV. All rights reserved. -
Novel deep eutectic solvent catalysed Single-Pot open flask synthesis of Tetrasubstituted-1H-Pyrroles
Pyrrole and its analogs have garnered immense attention due to their multifaceted biological significance and versatile applications, ranging from medicinal agents to fundamental biological pigments. Despite their prominence, pyrrole synthesis with multiple substituents is complex and calls for innovative approaches to green chemistry. This study delves into synthesizing novel 3,5-dimethyl-1H-pyrroles via multicomponent reactions (MCRs) employing deep eutectic solvents (DES). Due to their eco-friendly nature, these DESs provide a safer substitute for traditional solvents. Specifically, a novel three-component DES (3CDES) was formulated, showcasing promising catalytic activity for multiple cycles with excellent product generation. The synergy between MCR and DES elucidates their combined potential in fostering a sustainable and efficient green synthesis route with the E-factor of 0.1699. 2024 Elsevier B.V. -
Modified eco-friendly and biodegradable chitosan-based sustainable semiconducting thin films
Semiconducting materials are pivotal in various fields, such as solar cells, LEDs, photovoltaic cells, etc. A nature-friendly chitosan is a good film-forming, water-soluble polymer that is modified to a small band-gap polymer for various optoelectronic applications. Choline chloride:ethylene glycol:glycerin (1:1:1) deep eutectic solvent (DES)-modified activated carbon is incorporated into the chitosan matric and this composite is fabricated into thin films via spin coating methodology. The obtained films are subjected to multiple studies such as scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), impedance spectroscopy, and UVvis spectroscopy to perceive the thin-films microstructure, morphology, conductance, band gap, and optical nature. The integration of DES-modified activated carbon has significantly improved the charge transfer capacity of chitosan by reducing the band gap from 4.0 to 2.0 eV. These notable characteristics exhibited by the modified films can be key to sustainable semiconducting materials and have the potential to transform several optoelectronic applications. 2024 The Author(s). Polymers for Advanced Technologies published by John Wiley & Sons Ltd. -
Synergistic fabrication, characterization, and prospective optoelectronic applications of DES grafted activated charcoal dispersed PVA films
This study investigates the synthesis, analysis, and utility of films comprising deep eutectic solvent (DES) grafted activated charcoal (AC) within a polyvinyl alcohol (PVA) matrix for optoelectronic device applications. The fabrication process involves the dispersion of DES functionalization AC into the PVA solution, followed by casting onto substrates with controlled drying. Comprehensive characterization encompassing X-ray diffraction (XRD), scanning electron microscopy (SEM), UVvis spectroscopy, Fourier-transform infrared spectroscopy (FTIR), and impedance spectroscopy which discerns the films microstructure, morphology, conductance, band-gap, and optical traits. The DES grafted AC infusion with variable concentration has significantly influenced optical absorbance and reduced the band gap indicating efficient charge mobility. Furthermore, the impedance analysis has revealed the electrical conduction of the film to be 1.8 10?6 ??1 m?1. In summary, the dispersion of DES modified AC in the PVA matrix have converted the insulating PVA to a semiconducting polymeric film with reduced band-gap and increased absorption, which present a propitious avenue for wide array of optoelectronic devices, such as thin film transistors, photovoltaics, LEDs, photodetectors, and many such applications. 2024 The Authors. Polymers for Advanced Technologies published by John Wiley & Sons Ltd. -
Improving crop production using an agro-deep learning framework in precision agriculture
Background: The study focuses on enhancing the effectiveness of precision agriculture through the application of deep learning technologies. Precision agriculture, which aims to optimize farming practices by monitoring and adjusting various factors influencing crop growth, can greatly benefit from artificial intelligence (AI) methods like deep learning. The Agro Deep Learning Framework (ADLF) was developed to tackle critical issues in crop cultivation by processing vast datasets. These datasets include variables such as soil moisture, temperature, and humidity, all of which are essential to understanding and predicting crop behavior. By leveraging deep learning models, the framework seeks to improve decision-making processes, detect potential crop problems early, and boost agricultural productivity. Results: The study found that the Agro Deep Learning Framework (ADLF) achieved an accuracy of 85.41%, precision of 84.87%, recall of 84.24%, and an F1-Score of 88.91%, indicating strong predictive capabilities for improving crop management. The false negative rate was 91.17% and the false positive rate was 89.82%, highlighting the framework's ability to correctly detect issues while minimizing errors. These results suggest that ADLF can significantly enhance decision-making in precision agriculture, leading to improved crop yield and reduced agricultural losses. Conclusions: The ADLF can significantly improve precision agriculture by leveraging deep learning to process complex datasets and provide valuable insights into crop management. The framework allows farmers to detect issues early, optimize resource use, and improve yields. The study demonstrates that AI-driven agriculture has the potential to revolutionize farming, making it more efficient and sustainable. Future research could focus on further refining the model and exploring its applicability across different types of crops and farming environments. The Author(s) 2024. -
Hybrid optimization for efficient 6G IoT traffic management and multi-routing strategy
Efficient traffic management solutions in 6G communication systems face challenges as the scale of the Internet of Things (IoT) grows. This paper aims to yield an all-inclusive framework ensuring reliable air pollution monitoring throughout smart cities, capitalizing on leading-edge techniques to encourage large coverage, high-accuracy data, and scalability. Dynamic sensors deployed to mobile ad-hoc pieces of fire networking sensors adapt to ambient changes. To address this issue, we proposed the Quantum-inspired Clustering Algorithm (QCA) and Quantum Entanglement and Mobility Metric (MoM) to enhance the efficiency and stability of clustering. Improved the sustainability and durability of the network by incorporating Dynamic CH selection employing Deep Reinforcement Learning (DRL). Data was successfully routed using a hybrid Quantum Genetic Algorithm and Ant Colony Optimization (QGA-ACO) approach. Simulation results were implemented using the ns-3 simulation tool, and the proposed model outperformed the traditional methods in deployment coverage (95%), cluster stability index (0.97), and CH selection efficiency (95%). This work is expected to study the 6G communication systems as a key enabler for IoT applications and as the title legible name explains, the solutions smartly done in a practical and scalable way gives a systematic approach towards solving the IoT traffic, and multi-routing challenges that are intended to be addressed in 6G era delivering a robust IoT ecosystem in securing the process. The Author(s) 2024. -
The feasibility analysis of load based resource optimization algorithm for cooperative communication in 5G wireless ad-hoc networks
Efficient allocation of resources is crucial in wireless ad hoc networks (WANETs) as spectrum assets are costly. Cooperative communications were introduced as a solution to the problem of limited spectrum availability. In this approach, numerous nodes share their resources and increase the bandwidth available to end-users. This research investigates the practicality of a new algorithm that optimizes resources based on load for Cooperative Communications in 5 G WANETs. The algorithm consists of two components. Initially, a distributed algorithm for forming a topology is suggested. This algorithm employs a load-based approach to explore network conditions and efficiently choose the most suitable topology. An optimization algorithm that relies on a greedy strategy is suggested. In this approach, the chosen nodes send their bits to the receiver to maximize the attainable system throughput. A thorough simulation study is conducted to evaluate the overall performance of the proposed algorithm in assessing existing methods. The proposed model obtained 94.72 % energy efficiency, 91.69 % network throughput, 94.72 % spectrum utilization, 27.47 % network delay, 24.08 % packet loss rate, 94.38 % signal-to-noise ratio, 93.91 % data transfer rate, 95.87 % error detection rate, and 94.28 % link reliability rate. The results demonstrate that the suggested algorithm significantly enhances the system and the overall network performance compared to existing approaches. The proposed approach is feasible and environmentally friendly for optimizing bandwidth in 5 G wireless ad hoc Networks. 2024 The Authors -
Analysis of indias trade patterns and trade possibilities with the european union
Trade has played a crucial role in the emergence of developing econo-mies. The global emergence of India is also linked to its role in global trade. In this context, the European Union and India initiated talks for a free trade agreement known as the Bilateral Trade and Investment Agreement (BTIA). However, this agreement has failed to materialise due to various challenges and disputes. Against this backdrop, the present study attempts to trace the existing pattern of trade relations between India and the EU and provide a preliminary analysis of the nature of trade in this proposed region. A modified gravity equation and indicators of regional trade interdependence have been estimat-ed. The results indicate that trade within this region is in line with cer-tain predictions of the gravity model. Additionally, it also indicates that such an agreement has little potential for expanding trade and might even result in unnatural trade. Thus, it provides evidence for the argu-ment that India can benefit from developing ties with similar emerging economies in the Asia-Pacific neighbourhood. 2020, WSB University. All rights reserved. -
IndiaEuropean Union Trade Integration: An Analysis of Current and Future Trajectories
In a dynamic global environment of increased economic interdependence, nations are more than ever seeking to remove barriers to trade, despite growing trends of protectionism. In this context, India and the EU-27 have initiated talks for the establishment of a Bilateral Trade and Investment Agreement (BTIA) in an attempt to bring their economies together. However, after 16 rounds of negotiations, the failure to conclude this agreement has raised questions regarding the benefits of the agreement to India. This study attempts to examine the current trade scenario and the effects of the proposed regional trade agreement by estimating a structural gravity model. This study employs the Poisson Pseudo Maximum Likelihood (PPML) estimator for analysing the trade-creation and trade-diversion effects of the BTIA to overcome the shortcomings of ordinary least square (OLS) estimators. For the empirical analysis, the merchandise export data from the Gravity database has been taken for a period of 19 years from 2001 to 2019. The results indicate that the BTIA could lead to trade creation and trade diversion, highlighting the need for a re-evaluation of Indias trade policy. JEL Classification: F10, F13, F14, F15, O24 2021 National Council of Applied Economic Research. -
In situ growth of octa-phenyl polyhedral oligomeric silsesquioxane nanocages over fluorinated graphene nanosheets: super-wetting coatings for oil and organic sorption
Superhydrophobic surfaces offer significant advantages through their hierarchical micro/nanostructures, which create optimal surface roughness and low surface energy, making the development of robust surfaces essential for enhancing their physical and chemical stability. Here, we introduce in situ growth of octa-phenyl polyhedral oligomeric silsesquioxane (O-Ph-POSS) nanocages over multi-layered fluorinated graphene (FG) nanosheets through hydrolysis/condensation of phenyl triethoxysilane in an alkaline medium to produce a robust POSS-FG superhydrophobic hybrid. The efficient in situ growth of O-Ph-POSS nanocages over FG nanosheets was confirmed by FT-IR spectroscopy, PXRD, SEM, TEM, TG analysis, 29Si NMR spectroscopy, N2 adsorption-desorption isotherms and XP spectroscopy. The as-synthesized O-Ph-POSS over FG becomes superhydrophobic with a water contact angle (WCA) of 152 2 and a surface free energy (SFE) of 5.6 mJ m?2. As a result of the superhydrophobic property and robust nature of the POSS nanocage, O-Ph-POSS over FG nanosheets revealed the absorption capability for oils/organic solvents ranging from 200 to 500 wt% and were applied to coat onto the polyurethane (PU) sponge to effectively separate various oils and organic solvents from water mixtures, achieving separation efficiencies between 90% and 99%. Importantly, O-Ph-POSS-FG@Sponge still retained a separation efficiency of over 95% even after 25 separation cycles for hexane spill in water. The sponge efficiently separates toluene and chloroform using a vacuum pump, achieving flux rates of up to 20 880 and 12 184 L m?2 h?1, respectively. Weather resistance tests of O-Ph-POSS-FG@Sponge, prepared at intervals of 1 week and 1 year, showed that aged samples retained similar WCA values to freshly prepared sponges, confirming their long-term durability and performance. Mechanical stability assessments indicated that O-Ph-POSS-FG@Sponge maintained superhydrophobic properties, with WCA values of 151 2 for tape peeling and emery paper treatments and 150 2 for knife cutting, highlighting its excellent stability under physical deformation. Additionally, leveraging the exceptional resistance of O-Ph-POSS, the superhydrophobic O-Ph-POSS-FG@Sponge exhibited excellent stability and durability, even under supercooled and hot conditions during oil/water separation. Optical microscopy analysis of O/W and W/O emulsions, both stabilized by a surfactant, revealed complete droplet separation, further confirming the O-Ph-POSS-FG@Sponge's effectiveness for emulsion separation applications. The present work provides a straightforward method for the large-scale production of robust, superhydrophobic materials suitable for cleaning up oil spills on water surfaces. 2025 The Royal Society of Chemistry. -
A site-isolated Lewis acidic aluminium and Brsted basic amine sites in the dimeric silsesquioxane cage as a reusable homogeneous bifunctional catalyst for one-pot tandem deacetalization/deketalization-Knoevenagel condensation reactions
The development of multifunctional catalysts for one-pot tandem reactions is significantly required to attain multiple sequential transformations in a single reactor, which would considerably decrease the number of manipulations demanded for chemical manufacturing in industries. Herein, dimeric silsesquioxane Al-POSS-NH2 (2), a homogenous bifunctional acid-base catalyst containing environmentally friendly robust silica and high chemical and thermal stabilities, permanent catalytic activity, and reusability, was synthesized by the reaction of trisilanol aminopropyl hexaisobutyl-POSS (1) with trimethylaluminium. Al-POSS-NH2 was successfully used as a bifunctional catalyst for one-pot tandem reactions because of the synergism and effective compartmentalization between Lewis acidic aluminium and Brsted basic amine sites (>10.0 in the dimeric silsesquioxane cage, which was confirmed by DFT and QTAIM studies. Subsequently, different acetals were tested to obtain their corresponding benzylidene malononitrile derivatives using Al-POSS-NH2 for the one-pot tandem deacetalization-Knoevenagel condensation reactions and showed high efficiency (>90%) under optimized conditions (DMF, 0.3 mol% catalyst loading and 80 C) with different reaction times. Furthermore, the bifunctional Al-POSS-NH2 catalyst was separated from the reaction mixture via the precipitation method by adding acetonitrile into the reaction mixture and reusing it for five consecutive cycles without losing activity considerably, thus providing the inherent advantage over traditional homogeneous catalysts. In a one-pot tandem deketalization-Knoevenagel condensation reaction for various ketals, the reaction condition was slightly modified by increasing the catalyst loading (0.6 mol%) and reaction time (16 to 24 hours) to acquire better conversion and yield of their desired products. Finally, the present study suggests that the bifunctional POSS might facilitate the rapid development of environmentally friendly and economically feasible catalysts for multistep reactions. 2023 The Royal Society of Chemistry. -
Assembly of discrete and oligomeric structures of organotin double-decker silsesquioxanes: Inherent stability studies
Double-decker silsesquioxane (DDSQ), a type of incompletely condensed silsesquioxane, has been used as a molecular precursor for synthesizing new organotin discrete and oligomeric compounds. The equimolar reaction between DDSQ tetrasilanol (DDSQ-4OH) and Ph2SnCl2 in the presence of triethylamine leads to obtaining discrete [Ph4Sn2O4(DDSQ)(THF)2] (1). The change of sterically bulky aryl Ph2SnCl2 precursor to linear alkyl nBu2SnCl2 led to the isolation of oligomeric [nBu4Sn2O4(DDSQ)] (2). The structures of compounds 1 and 2 have been demonstrated using single-crystal X-ray diffraction measurements. Indeed, the formation of oligomeric organotin DDSQ compound (2) was determined using GPC and MALDI-TOF mass spectroscopy. In compound 1, the geometry of the tin atom is five-coordinated trigonal bipyramidal by two phenyl groups, two Si-O from DDSQ and one tetrahydrofuran. Compound 2 contains four coordinated two peripheral tin atoms and two five-coordinated central tin atoms, in which, the fifth coordinating oxo groups in the central tin atoms create the bridge between two different DDSQ units that leads to the formation of oligomeric structure. Density functional theory calculations on organotin DDSQs infer that the obtained lattice energy for compound 1 is far higher than for the case of compound 2, which indicates that the crystal of compound 1 is better stabilized in its crystal lattice with stronger close packing via intermolecular interactions between discrete molecules with coordinated THF compared to the crystal of compound 2. The greater stability arises mainly due to the sterically bulkier phenyl groups attached to the tin centers in compound 1, which provide accessibility for accommodating the THF molecule per tin via Sn-THF bonding, while contrarily the smaller n-butyl groups aid the polymerization of the four repeating units of [SnSi4O7] or two Sn2O4(DDSQ) through ?-oxo groups. Both compounds 1 and 2 were chosen to be promising precursors for the synthesis of ceramic tin silicates. The thermolysis of 2 at 1000 C afforded the mixture of crystalline SnSiO4 and SiO2 but the same mixture was only formed by thermolysis of 1 at relatively higher temperature (1500 C), which infers that compound 1 is more stable than compound 2 that is in good synergy with theoretical lattice energy. The Royal Society of Chemistry and the Centre National de la Recherche Scientifique. -
Heat and Mass Transport in Casson Nanofluid Flow over a 3-D Riga Plate with Cattaneo-Christov Double Flux: A Computational Modeling through Analytical Method
This work examines the non-Newtonian Cassonnanofluids three-dimensional flow and heat and mass transmission properties over a Riga plate. The Buongiorno nanofluid model, which is included in the present model, includes thermo-migration and random movement of nanoparticles. It also took into account the CattaneoChristov double flux processes in the mass and heat equations. The non-Newtonian Casson fluid model and the boundary layer approximation are included in the modeling of nonlinear partial differential systems. The homotopy technique was used to analytically solve the systems governing equations. To examine the impact of dimensionless parameters on velocities, concentrations, temperatures, local Nusselt number, skin friction, and local Sherwood number, a parametric analysis was carried out. The velocity profile is augmented in this study as the size of the modified Hartmann number increases. The greater thermal radiative enhances the heat transport rate. When the mass relaxation parameter is used, the mass flux values start to decrease. 2023 by the authors. -
Exploratory analysis of legal case citation data using node embedding
Legal case citation network is primary tool to understand mutable landscape of the legal domain. These networks are also used to study legal knowledge transfer, similar precedents and inter-relationship among laws of a judiciary. These networks are often very huge and complex due to the multidimensional texture of this domain. In recent years, network embedding using deep learning emerges as a promising breakthrough for analyzing networks. This paper presents a novel approach of learning vector representation for a legal case based on its citation context in the network using node2vec algorithm. These vector embedding are further used in understanding similarities between cases. Paper highlights that the tSNE reduced representation of the obtained vectors facilitates visual exploration and provides insights into the complex citation network. Suitability of node embedding for application of machine learning algorithm is demonstrated by clustering the node vectors for finding similar cases. ICIC International 2019.