Due of its uniqueness, biometric technologies are employed for security and access control in today’s digital world. Global demand for biometric technology has led to the development of biometric ...systems integrating many features. The robustness depends on the capacity to derive meaningful information from single biometric features. Multimodal biometric security systems are thought to be more accurate and secure than unimodal ones. An attacker may still enter the system using a stolen or hacked biometric data, even the greatest multi-biometric architecture. A hybrid deep learning approach for person identification (HDL-PI) employing palm print, iris, and face biometric features is proposed. It eliminates undesirable artefacts from the raw input image. After feature extraction, we develop a modified group search optimization (MGSO) technique to optimize features and minimize data dimensionality. In order to improve prediction accuracy and minimize error metrics, teacher learning based deep neural networks (TL-DNN) is presented. Performance measurements include accuracy, precision, recall, and F-measure; error metrics include equal error rate (EER), false alarm rate (FAR), false rejection rate (FRR), and genuine acceptance rate (GAR).
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The investigation is made to extract the total reaction cross section from a previous work where the elastic scattering of the tightly bound
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B on the
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Ni target was measured, at energies close ...to the Coulomb barrier. Total reaction cross sections were extracted from the elastic scattering analysis using the Optical Model with double-folding type potentials. We have also taken the total reaction cross section of the systems with almost the same mass range targets and different projectiles from the literature and tried to compare with our system by reducing the cross sections, for the elimination of trivial effects due to different sizes and different Coulomb barriers. In addition to that, for all the systems considered, one-channel calculations that account only for fusion have been performed to study the quantitative effect of the direct reaction channels on the total reaction cross section.
This study addresses detecting COX-2 inhibition in breast cancer, targeting its role in tumor growth. The primary goal is to develop an efficient technique for precise COX-2 inhibition bioactivity ...detection, with implications for identifying anti-cancer compounds and advancing breast cancer therapies. The proposed methodology uses the UNet architecture for feature extraction, enhancing accuracy. A modified chicken swarm optimization (MCSO) algorithm addresses data dimensionality, optimizing features. An improved Laguerre neural network (ILNN) classifies COX-2 inhibition bioactivity. Validation is performed using the ChEMBL database. The research evaluates the accuracy, precision, recall, F-measure, Matthews' correlation coefficient (MCC), and Dice coefficient of the proposed method. These metrics are compared against those of contemporary methods to assess the efficiency and effectiveness of the developed technique. The study underscores the hybrid deep learning method's significance in accurately detecting COX-2 inhibition bioactivity against breast cancer. Results highlight its potential as a valuable tool in breast cancer drug discovery.
Online product reviews play a major role in the success or failure of an E-commerce business. Before procuring products or services, the shoppers usually go through the online reviews posted by ...previous customers to get recommendations of the details of products and make purchasing decisions. Nevertheless, it is possible to enhance or hamper specific E-business products by posting fake reviews, which can be written by persons called fraudsters. These reviews can cause financial loss to E-commerce businesses and misguide consumers to take the wrong decision to search for alternative products. Thus, developing a fake review detection system is ultimately required for E-commerce business. The proposed methodology has used four standard fake review datasets of multidomains include hotels, restaurants, Yelp, and Amazon. Further, preprocessing methods such as stopword removal, punctuation removal, and tokenization have performed as well as padding sequence method for making the input sequence has fixed length during training, validation, and testing the model. As this methodology uses different sizes of datasets, various input word-embedding matrices of n-gram features of the review’s text are developed and created with help of word-embedding layer that is one component of the proposed model. Convolutional and max-pooling layers of the CNN technique are implemented for dimensionality reduction and feature extraction, respectively. Based on gate mechanisms, the LSTM layer is combined with the CNN technique for learning and handling the contextual information of n-gram features of the review’s text. Finally, a sigmoid activation function as the last layer of the proposed model receives the input sequences from the previous layer and performs binary classification task of review text into fake or truthful. In this paper, the proposed CNN-LSTM model was evaluated in two types of experiments, in-domain and cross-domain experiments. For an in-domain experiment, the model is applied on each dataset individually, while in the case of a cross-domain experiment, all datasets are gathered and put into a single data frame and evaluated entirely. The testing results of the model in-domain experiment datasets were 77%, 85%, 86%, and 87% in the terms of accuracy for restaurant, hotel, Yelp, and Amazon datasets, respectively. Concerning the cross-domain experiment, the proposed model has attained 89% accuracy. Furthermore, comparative analysis of the results of in-domain experiments with existing approaches has been done based on accuracy metric and, it is observed that the proposed model outperformed the compared methods.
The Mycobacterium tuberculosis PhoP/PhoR two-component signal transduction system controls the expression of about 2% of the genome and plays a major role in pathogenicity. However, its regulon has ...not been well characterized.
The binding site of PhoP transcription regulator was identified in the upstream regions of msl3, pks2, lipF and fadD21 genes, by using gene fusions, electrophoretic mobility shift assays and DNase I footprinting experiments. A consensus sequence for PhoP binding was deduced. It consists of two direct repeats, DR1/DR2, associated with a third repeat, DR3, important in some cases for PhoP binding to DR1/DR2 but located at a variable distance from these direct repeats. DR1/DR2 and DR3 consensus sequences were used to screen the whole-genome sequence for other putative binding sites potentially corresponding to genes directly regulated by PhoP. The identified 87 genes, encoding transcription regulators, and proteins involved in secondary metabolites biosynthesis, transport and catabolism are proposed to belong to the PhoP regulon.
A consensus sequence derived from the analysis of PhoP binding to four gene promoter regions is proposed. We show for the first time the involvement of a third direct repeat motif in this binding reaction. The consensus sequence was instrumented to study the global regulation mediated by PhoP in M. tuberculosis. This analysis leads to the identification of several genes that are potentially regulated by this key player.
The thermo-acoustic instabilities developed inside the combustor causes serious structural damage and reduces the life of power producing devices. The present work involves experimental investigation ...to assess effect of radial micro-jets air injection on thermo-acoustic instabilities and temperature in lateral planes. A co-axial pre-mixed gas burner used as the heat source inside the Rijke tube with variable location. Two types of Rijke tubes were used for experimental study, one is of steel with 75 mm internal diameter and 750 mm in length for the measurement of wall pressure, temperature and acoustics.
•In the first part of the study, acoustic instability zone for different inlet mass flow rates was identified.•In the second part of study, the entire cross-sectional of Rijke tube was divided into 193 subzones and temperatures were measured at 193 locations when instability was present.•In third part, again temperatures were measured at 193 locations with implementation of control method with complete suppression of thermo-acoustic instabilities.
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BacoMind™ is an enriched phytochemical composition derived from
Bacopa monnieri, a common medicinal plant having multiple uses in the traditional system of medicine and particularly used as a memory ...enhancing agent for centuries. The plant and its extracts have been evaluated for anti-inflammatory, cardio tonic, sedative and neuro-muscular blocking activities. In view of the extensive use of this plant, BacoMind™, standardized to bioactive compounds was evaluated in a series of toxicity studies, to confirm the safety of its usage. BacoMind™, on single oral administration had a median lethal dose of 2400
mg/kg in Sprague–Dawley rats. In a 14
day repeated dose oral toxicity study in rats, except for mild lowering in body weight gain in male rats, it was found to be tolerated well up to the dose of 500
mg/kg. A subchronic oral toxicity study for 90 days in rats at the dose levels of 85, 210 and 500
mg/kg did not reveal any evidence of toxicity with respect to clinical signs, neurological examination, food consumption, body weight gain, haematological and blood biochemistry parameters. The absolute and relative organ weight of vital organs did not differ significantly from that of the control. Necropsy and histopathological examination, did not reveal any remarkable and treatment related changes. A no-observed adverse effect level of 500
mg/kg body weight was established in rats.
Background Chikungunya fever is an Aedes mosquito‐borne Arbo viral illness with significant morbidity.
Methods In a recent outbreak of the disease in south India, the dermatologic manifestations of ...145 patients attending a tertiary care hospital were recorded.
Results All age groups were affected, including newborns. Some of the cutaneous features were observed during the acute stage of the illness, and others during convalescence or thereafter. Pigmentary changes were found to be the most common cutaneous finding (42%), followed by maculopapular eruption (33%) and intertriginous aphthous‐like ulcers (21.37%). Lesions with significant morbidity were generalized vesiculobullous eruptions (2.75%), found only in infants, lymphedema, and intertriginous aphthous‐like ulcers. Exacerbation of existing dermatoses, such as psoriasis, and unmasking of undiagnosed Hansen's disease were observed. A perivascular lymphocytic infiltrate was a consistent histopathologic finding in all types of skin lesions. All patients responded well to symptomatic, conservative treatment.
Conclusions The cutaneous findings hitherto not reported may be the result of the African genotype of the virus detected during this outbreak in India.
The pre-scission α-particle multiplicity (αpre), measured in 16O (96 MeV) + 232Th reaction, is observed to be significantly lower than the global trend reported earlier. Statistical model ...calculations also show a much shorter fission-time to reproduce the experimental αpre. By assimilating the previous measurements, it is observed that the αpre makes a changeover from high to a very low value while crossing the Businaro Gallone point in mass asymmetry in the entrance channels in heavy-ion induced fission of 232Th. Similar discontinuous behavior with respect to the entrance channel mass asymmetry was observed earlier in fission fragment angular anisotropy data, and it was attributed to “pre-equilibrium fission”. The present results on αpre provide compelling evidence for an admixture of non-equilibrium fission which depends on the entrance channel dynamics.
The four Schiff bases (I - IV) were synthesized by the condensation reaction of 1(1-hydroxynaphthalen-2-yl)ethanone, 1-(4-chloro-1hydroxynaphthalen-2-yl)ethanone and ...1-(4-bromo-1-hydroxynaphthalen-2-yl)ethanone with propane-1,3-diamine and pentane-1,3-diamine. The structural analysis is done by UVvis., FT-IR, 1H NMR, 13C NMR, LCMS and elemental analyses. These compounds were assayed for antibacterial (Escherichia coli and Salmonella Typhi) activity and antioxidant (2,2-Diphenyl-1-Picryl Hydrazyl(DPPH) and Hydroxyl radical scavenging method) activity. The antibacterial and antioxidant activities of synthesized Schiff bases exhibited better degrees of inhibitory effects. Among these, Schiff base 2,2'-((propane-1,3-diylbis(azanylylidene))bis(ethan-1-yl-1-ylidene))bis(4-chloronaphthalen-1-ol) (II) exhibited excellent antibacterial activity with MICs of 0.12, 0.25, 0.5 and 1 mg/ml against E. coli and Salmonella Typhi. Furthermore, two Schiff bases such as, 2,2'-((propane-1,3-diylbis(azanylylidene))bis(ethan-1-yl-1-ylidene))bis(naphthalen-1-ol) (I) and 2,2'-((pentane-1,3-diylbis(azanylylidene))bis(ethan-1-yl-1-ylidene))bis(4-bromonaphthalen-1-ol) (IV) exhibited promising antioxidant activity.
Materials chemistry; Organic chemistry; 1-hydroxy-2-acetonapthanone; 1,3-diamines; Schiff bases; Antibacterial activity; Antioxidant activity
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