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"Lokesh"
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Multi-class brain tumor classification using residual network and global average pooling
A rapid increase in brain tumor cases mandates researchers for the automation of brain tumor detection and diagnosis. Multi-tumor brain image classification became a contemporary research task due to the diverse characteristics of tumors. Recently, deep neural networks are commonly used for medical image classification to assist neurologists. Vanishing gradient problem and overfitting are the demerits of the deep networks. In this paper, we have proposed a deep network model that uses ResNet-50 and global average pooling to resolve the vanishing gradient and overfitting problems. To evaluate the efficiency of the proposed model simulation has been carried out using a three-tumor brain magnetic resonance image dataset consisting of 3064 images. Key performance metrics have used to analyze the performance of the proposed model and its competitive models. We have achieved a mean accuracy of 97.08% and 97.48% with data augmentation and without data augmentation, respectively. Our proposed model outperforms existing models in classification accuracy.
Journal Article
Optimization for next generation laptops enhancing performance and compactness
This paper presents a computational intelligence-optimized multiband MIMO antenna for next-generation laptops, addressing the demand for compact, high-performance, and multiband wireless connectivity. The proposed 4-port MIMO configuration, with an overall footprint of 94.1 × 28.29 × 0.8 mm
3
, is optimized for seamless integration along the laptop’s top edge, where minimal width is crucial. It supports operation at 2.45 GHz, 5 GHz, and 6 GHz, enabling compatibility with dual and tri-band Wi-Fi 6E routers. To accelerate the design process and reduce manual iteration, machine learning (ML) algorithms including AdaBoost, SVM, CatBoost, and Decision Trees were employed. A simulation dataset was generated in CST studio by systematically varying critical antenna parameters. This dataset was used to train the ML models, enabling them to learn the nonlinear relationships between geometry and performance metrics such as S-parameters, gain, efficiency, envelope correlation coefficient (ECC), diversity gain. Upon training, the models predicted optimal design parameters for desired performance goals. The resulting antenna exhibited isolation greater than 16 dB, ECC below 0.08, and a measured realized gains of 0.73, 2.1, and 3 dBi across the operating bands. In addition, the channel capacity loss remained under 0.35 bits/s/Hz, confirming strong MIMO performance. This work highlights that incorporating computational intelligence into antenna design not only expedites the development process but also improves system efficiency, providing a scalable and intelligent solution for next-generation multifunctional, high-speed laptop platforms.
Journal Article
Biological properties of curcumin-cellular and molecular mechanisms of action
Curcuminoids, a group of phenolic compounds isolated from the roots of Curcuma longa (Zingiberaceae), exhibit a variety of beneficial effects on health and on events that help in preventing certain diseases. A vast majority of these studies were carried out with curcumin (diferuloyl methane), which is a major curcuminoid. The most detailed studies using curcumin include anti-inflammatory, antioxidant, anticarcinogenic, antiviral, and antiinfectious activities. In addition, the wound healing and detoxifying properties of curcumin have also received considerable attention. As a result of extensive research on the therapeutic properties of curcumin, some understanding on the cellular, molecular, and biochemical mechanism of action of curcumin is emerging. These findings are summarized in this review.
Journal Article
Effect of mineral filler on low velocity impact behaviour of bi-directional glass fibre/epoxy composites exposed to varied temperature conditions
Fibre reinforced plastics are predominantly used in automotive, aerospace applications due to their promising features of low cost, easy of processing and durability, however these composites are more susceptible to varied temperature conditions under different loading conditions. One such problem where these composites vary greatly in their performance is due to impact loading conditions. The objective of present research is to determine the effect of calcium inosilicate (also termed as wollastonite) powder which is used as a filler on low velocity impact (LVI) behaviour of bi-directional glass fibre reinforced with epoxy thermosets (GFRP) for different loading percentage of 1%,3%,5% and 7%. Composites were prepared through manual lay-up route and prepared samples were exposed for 3 different temperature conditions of continuous heating and cooling cycles at +50 0 c, −5 0 C including room temperature conditions for 168hrs. Aged samples were tested for low velocity impact(LVI) testing by keeping constant energy of 30J. Results revealed that addition up to 3% filler influence largely on LVI response of GFRP composites for all the temperature conditions, addition to this polynomial regression of 9 th order was performed and the results were best fit with experimental values. Fractography study revealed the severity of damage modes upon LVI testing.
Journal Article
One pot synthesis of a novel bioactive compound employing a deep eutectic solvent grafted MWCNT system in a solventless environment
Heterogeneous catalysis is considered as a suitable alternative to conventional organic synthesis for the selective production of industrially significant fine chemicals. The development of supported catalysts by dispersing minimal quantities of active component can reduce production costs and enhance energy efficiency. The current work reports the development of Deep eutectic solvent (DES) modified multiwalled carbon nanotube (MWCNT) system and its activity in the Knoevenagel condensation reaction. The catalytic system was developed by grinding a very low concentration (0.83mM) of DES with desired amount of MWCNT. Various interactions of the three component DES with MWCNT were analysed by X-ray photoelectron spectroscopy (XPS). The reaction favoured a novel compound selectively with yield around 92% in solvent free medium. Anti-cancerous studies of the synthesized compound demonstrated a strong IC
50
value of 15.62 µg/ml and a statistically calculated IC
50
value of 9.8 µg/ml. Acridine orange/ Ethidium Bromide (AO/EB) dual fluorescence staining studies revealed that the test ligand with lowest concentration of 7.8 µg/ml was capable to induce apoptosis in 100% of MCF-7 cells. It is evident from the studies that the synthesized compound is a strong anticancer agent with potential to be investigated further.
Journal Article
Green supply chain management practices and its impact on organizational performance: evidence from Indian manufacturers
PurposeThe purpose of this paper is to explore the impact of five dimensions of green supply chain management (GSCM) practices (i.e. internal environmental management, green purchasing, cooperation with customers, eco-design, and investment recovery) on three dimensions of organizational performance (i.e. environmental, economic and operational performance).Design/methodology/approachData were collected based on a cross-sectional survey of managers of 160 manufacturing firms in India. Structural equation modelling was used to test the influence of GSCM practices on each of the organizational performance outcomes.FindingsExcept for internal environmental management and green purchasing, all other GSCM dimensions are found to significantly impact at least one of the performance dimensions, either directly or indirectly. The results highlight that investment recovery practice is a key predictor of environmental performance, whereas eco-design is a key predictor of operational performance. The structural equation modeling result also suggests that GSCM do not directly affect economic performance, but can improve it indirectly.Research limitations/implicationsSince data was collected from managers of manufacturing firms on the basis of their subjective evaluations, future research studies should employ objective performance indicators for analysis. Also, the study did not consider some dimensions of GSCM practices, which can be included in future studies.Practical implicationsManufacturing firms should implement GSCM practices not just because of the pressure from regulatory bodies but also to elevate their environmental, operational and economic performance. The proposed model in this paper suggests practitioners which GSCM factors are driving these performance changes and supports the building of a roadmap for GSCM implementation in their organization.Originality/valueManufacturing firms from four different operating sectors, namely automotive, electrical and electronics, process and machinery sectors are the respondents. The originality of the paper lies in testing the influence of GSCM practices on organizational performance in a novel context, where most GSCM initiatives fail for one reason or another. Furthermore, the assessment of the interaction between five constructs of GSCM practices and three constructs of organizational performance in the Indian manufacturing context offers unique conceptual contribution to the researches in the GSCM field.
Journal Article
Amyotrophic lateral sclerosis
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterised by progressive muscular paralysis reflecting degeneration of motor neurones in the primary motor cortex, corticospinal tracts, brainstem and spinal cord. Incidence (average 1.89 per 100,000/year) and prevalence (average 5.2 per100,000) are relatively uniform in Western countries, although foci of higher frequency occur in the Western Pacific. The mean age of onset for sporadic ALS is about 60 years. Overall, there is a slight male prevalence (M:F ratio~1.5:1). Approximately two thirds of patients with typical ALS have a spinal form of the disease (limb onset) and present with symptoms related to focal muscle weakness and wasting, where the symptoms may start either distally or proximally in the upper and lower limbs. Gradually, spasticity may develop in the weakened atrophic limbs, affecting manual dexterity and gait. Patients with bulbar onset ALS usually present with dysarthria and dysphagia for solid or liquids, and limbs symptoms can develop almost simultaneously with bulbar symptoms, and in the vast majority of cases will occur within 1–2 years. Paralysis is progressive and leads to death due to respiratory failure within 2–3 years for bulbar onset cases and 3–5 years for limb onset ALS cases. Most ALS cases are sporadic but 5–10% of cases are familial, and of these 20% have a mutation of the
SOD1
gene and about 2–5% have mutations of the
TARDBP
(
TDP-43
) gene. Two percent of apparently sporadic patients have
SOD1
mutations, and
TARDBP
mutations also occur in sporadic cases. The diagnosis is based on clinical history, examination, electromyography, and exclusion of 'ALS-mimics' (
e.g.
cervical spondylotic myelopathies, multifocal motor neuropathy, Kennedy's disease) by appropriate investigations. The pathological hallmarks comprise loss of motor neurones with intraneuronal ubiquitin-immunoreactive inclusions in upper motor neurones and TDP-43 immunoreactive inclusions in degenerating lower motor neurones. Signs of upper motor neurone and lower motor neurone damage not explained by any other disease process are suggestive of ALS. The management of ALS is supportive, palliative, and multidisciplinary. Non-invasive ventilation prolongs survival and improves quality of life. Riluzole is the only drug that has been shown to extend survival.
Journal Article
Transition from freshwater to seawater reshapes the skin-associated microbiota of Atlantic salmon
Knowledge concerning shifts in microbiota is important in order to elucidate the perturbations in the mucosal barrier during the transitional life stages of the host. In the present study, a 16S rRNA gene sequencing technique was employed to examine the compositional changes and presumptive functions of the skin-associated bacterial communities of Atlantic salmon reared under controlled laboratory conditions and transferred from freshwater to seawater. Proteobacteria was the dominant phylum in salmon from both freshwater (45%) and seawater (above 89%). Bacteroidetes, Actinobacteria, Firmicutes, Cyanobacteria and Verrucomicrobia were the most abundant phyla in salmon from freshwater. The transition to seawater influenced the OTU richness and evenness. The high abundance (~62%) of the genus
Oleispira
made Proteobacteria the most significantly abundant phylum in salmon from seawater. The predictive functional profile suggested that the communities had the ability to extract energy from amino acids in order to maintain their metabolism and scavenge and biosynthesise compounds to make structural changes and carry out signalling for their survival. These findings need to be further explored in relation to metabolic processes, the fish genotype and the environment.
Journal Article