Browse Items (14421 total)
Sort by:
-
Origami foldaway support for beginners using image processing
Various origami works are distributed as origami books in which a succession of collapsing operations with basic outlines is portrayed. In any case, the origami book reader often will give up the instruction of the book middle, because it is too difficult to understand a way to fold in accordance with the diagrams. This paper proposes an approach to find the next step how to do the folding operation, especially for origami beginners. First, a method of detecting the folding operation based on camera images is been detected by canny edge detection. Then, in order to get the next operation camera image is been compare with the database images with the help of Bag of a visual word and Speed up robust features(SURF) detector to detect the key points by finding out the nearest neighboring distance ration (NNDR) measures to find out the similarities. 2016 Authors. -
Origin and diversification of Indian Ceropegieae (Apocynaceae) and its possible relation to the Indian monsoon
The Indian subcontinent has experienced a major shift in climatic regime from a wet tropical regime to increased seasonal rainfall, since the late Miocene. This shift has been attributed to the intensification of monsoons, which led to opening up of dry habitats in humid forests and formation of deciduous forests. We explored the role of this climatic shift in the origin and diversification of dry-adapted plant genera Ceropegia and Brachystelma (Ceropegiae, Asclepiadoideae, Apocynaceae). We sampled Ceropegia and Brachystelma from across India and used five markers (two nuclear and three plastid regions) to reconstruct a global phylogeny of this group. Indian members of the tribe Ceropegiae were derived from Africa through at least four independent dispersal events. All dispersal events occurred in late Miocene after establishment of a monsoon climate. One of these early dispersing lineages underwent rapid radiation in peninsular India, giving rise to around 50 species. Thus, both dispersal and diversification events coincided with the intensification of monsoons and concomitant aridification. The role of environment in the evolution of floral characteristics and root type in the Indian radiation is also discussed. This is one of the first reports on a dry-adapted endemic radiation of plants in India. 2020 Institute of Botany, Chinese Academy of Sciences -
Origin, ecotoxicity, and analytical methods for microplastic detection in aquatic systems
Over the decades, interaction of microplastics with other pollutants in a dynamic environmental set up was observed to increase their toxic effects. This scenario is worse in aquatic environments due to the entry of huge loads of microplastic components into the waterbodies through direct plastic dumping and those delivered from effluents originating from various treatment plants. Although extensive research was done to understand the issue associated with microplastic contamination of various aquatic environments, a huge research gap still exists in areas like their ecotoxicology, fate, distribution, and detection methods in aquatic environments. Moreover, the combined deleterious effect of microplastics in association with other environmental pollutants is not widely studied and requires more research focus. The major scope of this review is to present a comprehensive outlook on the recent studies carried out to understand the types, origin, distribution, transport, fate, and toxicity of microplastics in aquatic environments, both fresh water and marine. The review summarizes the ecotoxicological effects of microplastic contaminants in aquatic environment like the oxidative damage, neurotoxicity and decreased reproductive potential. An in-depth discussion regarding the ability of the microplastics in combination with other pollutants to serve as potentially hazardous agents in aquatic environment is also elaborated in the review. Further a summary on various microplastic detection methods, challenges associated with microplastic detection and management is carefully reviewed and compiled in this work. The need for proper awareness programs to general public highlighting the toxicity of microplastics and strict regulations regarding their continuous assessment and management in waterbodies are essential factors in controlling their adverse effect on aquatic environment. 2023 Elsevier B.V. -
Ortho-Vanillin based multifunctional scaffold for selective detection of Al3+ and Zn2+ employing molecular logic with DFT study and cell imaging with live Grass pea
Ligand (E)-N-(2-hydroxy-3-methoxybenzylidene) acetohydrazide (HL) has been designed and synthesized from o-vanillin and acetohydrazide for selective sensing of Al3+ and Zn2+ ions. In the photoluminescence studies, the receptor HL itself shows very poor fluorescence but on incremental addition of Al3+ and Zn2+ ions in solution of the probe HL individually leads to a sharp increase in emission intensities at wavelengths 468 nm (?15 fold) and 504 nm (?8 fold) respectively. Due to excited state intramolecular proton transfer (ESIPT), HL exhibits weak emission in absence of any analytes but in presence of Al3+ and Zn2+, chelation-enhanced fluorescence (CHEF) with coordination of Al3+ and Zn2+ inhibits ESIPT, which results large increase of fluorescence enhancement. The ligand HL shows high selectivity and sensitivity to detect Al3+ and Zn2+ among various metal ions with LOD (Limit of Detection) 0.836 10?6 M and 1.01 10?6 M respectively. DFT calculation has been performed to study the binding phenomenon of ligand HL with metal ions. A molecular logic gate has been build-up with Al3+ and Zn2+ and EDTA as three chemical input. Simultaneously, cytotoxicity and cell biology for the probe and corresponding Al3+ sensing were observed. 2023 Elsevier B.V. -
OrthoTrace - Fracture Detection from X-Ray Images Using YOLOv5
Rapid and correct diagnosis of bone fractures is important for appropriate and efficient management in clinical practice; however, traditional X-ray interpretation frequently involves diagnostic error, particularly in low resource environments. This study presents OrthoTrace, a YOLOv5-based deep learning system designed for real-time and lightweight fracture detection. The model was trained on a curated set of annotated X-ray images from the publicly available YOLOv5 dataset, which includes a range of upper and lower limb fractures across diverse anatomical regions regions ( 3,500 - 4,000 images; 70:20:10 train/validation/test split) and evaluated using accuracy, mean Average Precision (mAP), precision, recall, and F1-score. On the held-out test set, OrthoTrace achieved 90% accuracy and an mAP of 0.91, outperforming standard CNN baselines and approaching YOLOv8 performance while requiring significantly fewer computational resources. YOLOv5 can also identify fractures in real time, and draw bounding boxes with confidence scores around the specific areas of the X-ray with fractures. OrthoTrace can also be deployed in local or cloud environments. The novelty of OrthoTrace lies in its incredibly rapid inference, while requiring very little computing power. Although promising, the system is limited by dataset size and lack of external validation. This system holds clinical significance as it can support rapid, reliable fracture detection in low-resource or emergency settings, making real-time deployment feasible on standard hospital hardware. Future work will focus on expanding datasets, and enhancing robustness across various medical scenarios. 2025 IEEE. -
OTT Enchantment: Decoding the Secret of Millennials Subscription Intentions
This study explores the factors that affect intention and choices of millennials for subscription of Over-The-Top (OTT) platforms. The study involved a mixed-methods approach, involving exploratory and descriptive design. The outcome of the study showed that there is a profound impact of demographic variables on the subscription intention. Results also indicated that factors like convenient navigation, information seeking, and bingewatching impacted respondents attitudes towards purchasing OTT subscriptions. Moreover, factors like relaxation and voyeurism impacted respondents attitudes towards continuing OTT subscriptions. The research findings will be helpful for OTT companies to implement new distribution strategies with mobile operators to launch novel services like mobile-only packs and sachet pricing and thereby increase their user base. The study contributes significantly in understanding the viewership and subscription patterns of millennials. The study is exclusively an original contribution of the authors. 2024, Econjournals. All rights reserved. -
OTT Regulation, Platform Governance, and the Politics of Digital Misinformation in India
The rapid growth of Over-the-Top (OTT) platforms in India has significantly reshaped the entertainment industry. Audiences increasingly prefer streaming films and series over traditional cinema and television due to accessibility, affordability, flexibility, and on-demand viewing, even in rural and small-town regions. This shift reflects the empowerment of Indias digital media ecosystem. This paper analyses Netflix and Amazon Prime Video as case studies to support the research. However, the expansion of OTT platforms has also raised serious concerns regarding freedom of expression and content regulation. While creative autonomy promotes diverse storytelling and social commentary, it may also lead to the circulation of sensitive, offensive, or harmful content. Recently, the Indian government banned 25 OTT platforms for hosting obscene material without effective age-verification mechanisms exposing minors to such content. The Tandav controversy further illustrates the tension between artistic freedom and Indias cultural and religious sensitivities. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development. -
Out of Box Thinking to Tangible Science: A Benchmark History of 3D Bio-Printing in Regenerative Medicine and Tissues Engineering
Advancements and developments in the 3D bioprinting have been promising and have met the needs of organ transplantation. Current improvements in tissue engineering constructs have enhanced their applications in regenerative medicines and other medical fields. The synergistic effects of 3D bioprinting have brought technologies such as tissue engineering, microfluidics, integrated tissue organ printing, in vivo bioprinted tissue implants, artificial intelligence and machine learning approaches together. These have greatly impacted interventions in medical fields, such as medical implants, multi-organ-on-chip models, prosthetics, drug testing tissue constructs and much more. This technological leap has offered promising personalized solutions for patients with chronic diseases, and neurodegenerative disorders, and who have been in severe accidents. This review discussed the various standing printing methods, such as inkjet, extrusion, laser-assisted, digital light processing, and stereolithographic 3D bioprinter models, adopted for tissue constructs. Additionally, the properties of natural, synthetic, cell-laden, dECM-based, short peptides, nanocomposite and bioactive bioinks are briefly discussed. Sequels of several tissue-laden constructs such as skin, bone and cartilage, liver, kidney, smooth muscles, cardiac and neural tissues are briefly analyzed. Challenges, future perspectives and the impact of microfluidics in resolving the limitations in the field, along with 3D bioprinting, are discussed. Certainly, a technology gap still exists in the scaling up, industrialization and commercialization of this technology for the benefit of stakeholders. 2023 by the authors. -
Out of South America Into India: Unusual Long Distance Dispersal of a Plant GenusLepidagathis (Acanthaceae)
Background: Lepidagathis Willd. (Barlerieae, Acanthoideae, Acanthaceae) is a pantropical plant genus with about 156 species. Classification of Lepidagathis and Lophostachys has been under debate for long. The genus is mainly Asian in distribution, followed by Africa, with an odd distribution of over a quarter of its diversity in the Neotropics. Aims: Given its pantropical distribution, we hypothesised that this pattern may be due to long distance dispersal followed by radiation in either the Old World or New World. Therefore, we aimed to test the monophyly of the Old World and New World species and trace its ancestral area using molecular dating and biogeographical analysis. Materials and Methods: We used 28 Lepidagathis sensu lato (s.l.) species, with seven molecular markers (ITS, trnL-LF, trnSG, trnGR, psbA-trnH, rps16 and rbcL), and conducted single-gene phylogenies. Later, we used a concatenated dataset of five markers (ITS, trnL-LF, trnSG, trnGR and rps16) to perform molecular dating based on secondary calibration as well as primary calibration. For historical biogeography, we applied two schemes: one treating peninsular Indiahome to about 35 speciesas a distinct region, and another grouping it with Southeast Asia. Results: Our study of the 28 species resolved Lepidagathis into three well-supported clades and supported its broad circumscription (sensu lato), including the former Lophostachys. The combined gene phylogeny places the African monotypic genus Schaueriopsis variabilis and the Asian genus Chroesthes within Lepidagathis s.l. Historical biogeography under the DIVALIKE+J model identified Africa as the most likely ancestral area for the genus, with Indian endemic species derived from Neotropical ancestors. In an alternative scheme, which included India within Asia, it was inferred that Lepidagathis s.l. has evolved from Asia, with all three lineages within Lepidagathis s.l. also with Asian ancestry. Discussion: The timing of the dispersal events out of Africa into the neotropics, and dispersal into the paleotropics, was during the late Oligocene, suggesting that it must have been long-distance dispersal, as there were no land bridges connecting the Americas with the Old World. Conclusion: This phylogenetic study, together with the biogeographical analysis demonstrates that Lepidagathis and Lophostachys represent independently evolving lineages that can be recognised as distinct subgenera. Moreover, Lepidagathis s.l. provides strong evidence for long-distance intercontinental dispersal events, inferred to have occurred during the late Oligocene. Our biogeographical analysis, along with the genus's greatest species diversity in Asia, supports an Asian origin for Lepidagathis as the more plausible scenario. 2026 John Wiley & Sons Ltd. -
Overall system performance analysis with distributed generation
Transmission system loadability enhancement using modern techniques are one of the interesting research areas under power system planning studies. This paper address the location of Distributed Generation (DG) in the network not only loadability enhancement but also for transmission loss minimization and voltage stability enhancement. We have proposed a novel strategic approach for DG location and size by considering (N-1) line contingency criterion. The approach is analyzed with IEEE 14-bus and IEEE 30-bus test systems. The results are validating the proposed approach for real-time applications. 2016 IEEE. -
Overcoming barriers: Challenges and opportunitiesin multi-stakeholder collaboration for sustainable supply chain
Multi- stakeholder collaboration is increasingly recognized as a critical component of sustainable development, particularly in complex supply chains. A supply chain is a simple tool that sustainably excels in every TBL component. This Chapter emphasizes the adoption of sustainability in supply chains and its results which are influenced by two key elements. The first crucial component is the managerial orientation toward sustainability which is how managers and decision- makers see sustainability and how it relates to their incentives to carry out sustainability activities. National and international development organizations have started integrated multi- stakeholder projects supporting creative solutions to poverty and environmental degradation. Among the noteworthy projects are those that promote sustainable livelihoods market- driven human development and the use of ecosystem services to reduce poverty. Difficulties in communicating because of language, priority, expertise gaps, power imbalances, and divergent interests. 2025, IGI Global Scientific Publishing. All rights reserved. -
Overcoming challenges in 5G performance evaluation and QoE management
As the 5G technology is being rolled out in phases, the world over, there is a need for efficient and effective 5G network planning and Quality of Experience. One way a country planning to adopt 5G could plan the logistics of laying out the network, could be through learning best practices from peers. Which peer to follow is subjective to each country in question. Therefore, in choosing these references/benchmark countries, a thorough knowledge of their performance is vital. Yet another factor that impacts 5G network planning is effective QoE management. Proper QoS provisioning over the network is very important even as countries strive to cater the best possible services to their citizens. This is made possible by identifying improvement needs of countries on its user QoE. By quantifying this need, suitable benchmarks could be set and achieved in the short or long terms thereby enabling the countries to provide better services to their people. Determining the right benchmarking and evaluation technique is the need of the hour. 2025 -
Overcoming the barriers to multi-stakeholder collaboration in supply chains: Strategies to foster co-operation in complex supply chains
The supply networks form the backbones of the global economy as a flow of goods, services, and information across industries and geographies. Meanwhile, globalization and digitalization that promoted the increasing complexity of supply chains highlight even greater urgency for sustainable and responsible supply chain management. This chapter considers the manner in which multi- stakeholder collaboration can become an important enabler of sustainability within the supply chains since no individual stakeholder has a chance of unilaterally solving all of its various problems. From the case studies conducted on Sedex and the automotive sector, this study has shown that sustainability strategies take a diversified view-from corporate management to government bodies, NGOs, and local communities- to align priorities, bridge cultural gaps, and develop collective solutions that will drive systemic change. Given the nature of conflicting priorities, the research finds concentration on cross- industry cooperation and the role of external organizations in promoting responsible practices. 2025, IGI Global Scientific Publishing. All rights reserved. -
Overt dependence of health insurance industry on healthcare system
A vast majority of the population in the developing economies remains uninsured. Moreover, the informal sector that employs a larger section of the society is untouched by any of the government scheme. In this study, we use health belief model to examine the factors that induce willingness to buy health insurance among the illness and the non-illness group. A cross-sectional study was conducted on 1,339 participants above 20 years of age of which 351 had contracted illness in the past and 988 had not. Data was collected using questionnaire from four highly populated districts in India. The questionnaire was developed based on the constructs of health belief model. The data was statistically analysed. Kendalls Tau-b correlation technique was used to explore the relationship between perceived vulnerability and product aversion. Logistic regression was used to find out the odds at which each independent variable, categorised based on the health belief model, contributes to willingness to buy. The model was able to predict 15% of the variance for willingness-to-buy among the illness and 27% among the non-illness groups. Findings suggest that the perceived vulnerability reduced product aversion among the illness group. Mere presence of primary and super-specialty hospitals was not sufficient for the illness group to subscribe for health insurance. Income perceptions emerged as a significant predictor among the illness group. Presence of well-established hospital, income perceptions, and subjective norms were significant predictors among the non-illness group. The growth of the health insurance industry largely depends upon the presence of well-established hospitals. In the absence of adequate healthcare facilities, attempts by the insurers to promote insurance covers will become futile. Insurers should also consider alternate segmentation patterns albeit the present socio-demographic pattern, as the health risk experience differs among individuals. Asian Academy of Management and Penerbit Universiti Sains Malaysia, 2021. -
Overview of Cyber Security in Intelligent and Sustainable Manufacturing
With the advent of the Internet of Things (IoT), a new transformation is predominant in the manufacturing industry, termed Industry 4.0. The revolution of IoT with artificial intelligence, Web3, robotics, and automation has transformed the traditional manufacturing system into a smart manufacturing system (SMS) by adding an intelligent component capable of automatic data collection through using sensors, processing data autonomously, and controlling machines remotely. However, adding automated intelligence, autonomous systems, and real-time data processing presents an insecure surface to cyber attackers to penetrate these cyber-physical systems (CPSs) and cause physical damage. This chapter presents a detailed discussion of cyber threats and incidents in the intelligent manufacturing industry, along with the available acceptable mitigation strategies. A taxonomy of cyber attacks on intelligent manufacturing systems clearly shows the difference between information technology threats and smart manufacturing cyber-threats. A detailed discussion on the limitations of SMSs in implementing cyber security is presented. Finally, some innovative machine learningbased security mechanisms (ML-based intrusion detection systems) are discussed that promise to detect anomalies/intrusions in such systems. 2025 selection and editorial matter, Ajay Kumar, Parveen Kumar, Yang Liu, and Rakesh Kumar. -
Oxidation reactions of carbaryl in aqueous solutions
Hydroxyl radical induced oxidation of carbaryl has been studied using steady state photolysis followed by high-resolution mass spectrometry (LC-Q-TOF-MS), pulse radiolysis, and theoretical (DFT) calculations. The reaction of ?OH with carbaryl resulted in a number of hydroxylated adduct radicals (?max - 330 nm and 390 nm; k2 - 1.2 1010 dm3 mol-1 s-1). The DFT calculations and results obtained from LC-Q-TOF-MS analysis shows the possible addition of ?OH at C1 (energetically most stable) and C7 positions of carbaryl leading to the generation of resonance stabilized hydroxycyclohexadienyl-type radicals as the immediate intermediates, which eventually converted into naphthol and a hydroxylated naphthols. LC-Q-TOF-MS results also revealed the formation of other hydroxylated derivatives and naphthoquinones that are most likely originated from the consecutive ?OH attack on the initially formed products. Naphthoquinones are found to undergo ring opening and the corresponding products are identified. The reaction of SO4?- with carbaryl, on the other hand, results the radical cation of parent molecule (?max - 320 nm and 390 nm) which exhibits reasonable stability in the pulse radiolysis timescale. Total organic carbon (TOC) analysis after H2O2/UV photolysis revealed that nearly 70% of the organic content is mineralized after 35 min of irradiation, which demonstrates the potential application of oxidative methods towards the degradation of carbaryl. 2021 Elsevier B.V. -
Oxygen surface-functionalized carbon dots derived from waste cassava peel for UV shielding applications
UV radiation, falling in the wavelength range between 290nm and 400nm, which reaches the Earth's surface, is capable of causing potential damage to human cells, especially the skin. Sun protection products, which were earlier treated as skincare utilities, have now become indispensable and fall under the category of healthcare commodities. The requirement for skin- and environment-friendly UV absorbers that are reliable enough to substitute synthetic ones is spiking day by day. In this work, we report the conversion of waste cassava peels into UV-absorbing carbon dots through a facile one-step microwave-assisted solvothermal route. The as-synthesized carbon dots, when dispersed in NMP, show intense absorption in the UVA and UVB region, which can be effectively used for UV shielding applications. In-vitro studies based on transmittance data show that dispersion is capable of blocking 90% of the UV rays at a concentration of 0.2mg/mL, and at 0.5mg/mL, an SPF of 35+ was obtained, corresponding to a shielding capability of more than 97%. The conversion of cassava peel waste into UV-absorbing carbon dots adds to the value of this agricultural waste and, on crossing the compatibility standards, would provide a suitable alternative for existing synthetic UV shielding materials. 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. -
P type copper doped tin oxide thin films and p-n homojunction diodes based on them
P-type copper doped tin oxide (SnO2:Cu) thin films were prepared by chemical spray pyrolysis method on glass substrates for different doping concentrations. Their structural, optical, surface morphological, elemental and electrical studies were investigated. We fabricated two transparent homojunction diodes using optimized sample of SnO2:Cu which are p- SnO2:Cu/n-SnO2 and p-SnO2:Cu/n- SnO2:F.These diodes are reported for the first time by this method. 2021 Elsevier B.V. -
P-energy of generalized Petersen graphs
For a given graph G, its P-energy is the sum of the absolute values of the eigenvalues of the P-matrix of G. In this article, we explore the P-energy of generalized Petersen graphs G(p; k) for various vertex partitions such as independent, domatic, total domatic and k-ply domatic partitions and partition containing a perfect matching in G(p; k). Further, we present a python program to obtain the P-energy of G(p; k) for the vertex partitions under consideration and examine the relation between them. 2022 The authors. -
P-phase picker using virtual cloud-based Wireless Sensor Networks
Wireless Sensor Networks, mainly regarded as numerous resource-limited nodes linked via low bandwidth, have been intensively deployed for active volcano monitoring during the few past years. This paper studies the problem of primary waves received by seismic wireless sensors suffering from limited bandwidth, processing capacity, battery life and memory. To address these challenges, a new P-phase picking approach where sensors are virtualized using cloud computing architecture followed by a novel in-network signal processing algorithm, is proposed. The two principal merits of this paper are the clear demonstration that the Cloud Computing model is a good fit with the dynamic computational requirements of volcano monitoring and the novel signal processing algorithm for accurate P-phases picking. The proposed new model has been evaluated on Mount Nyiragongo using Eucalyptus/Open Stack with Orchestra-Juju for Private Sensor Cloud then to some famous public clouds such as Amozon EC2, ThingSpeak, SensorCloud and Pachube. The testing has been successful at 75%. The recommendation for future work would be to improve the effectiveness of virtual sensors by applying optimization techniques and other methods. 2015 IEEE.