An advanced deep learning model for maneuver prediction in real-time systems using alarming-based hunting optimization

The increasing trend of autonomous driving vehicles in smart cities emphasizes the need for safe travel. However, the presence of obstacles, potholes, and complex road environments, such as poor illumination and occlusion, can cause blurred road images that may impact the accuracy of maneuver prediction in visual perception systems. To address these challenges, a novel ensemble model named ABHO-based deep CNN-BiLSTM has been proposed for traffic sign detection. This model combines a hybrid convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) with the alarming-based hunting optimization (ABHO) algorithm to improve maneuver prediction accuracy. Additionally, a modified hough-enabled lane generative adversarial network (ABHO based HoughGAN) has been proposed, which is designed to be robust to blurred images. The ABHO algorithm, inspired by the defending and social characteristics of starling birds and Canis kojot, allows the model to efficiently search for the optimal solution from the available solutions in the search space. The proposed ensemble model has shown significantly improved accuracy, sensitivity, and specificity in maneuver prediction compared to previously utilized methods, with minimal error during lane detection. Overall, the proposed ensemble model addresses the challenges faced by autonomous driving vehicles in complex and obstructed road environments, offering a promising solution for enhancing safety and reliability in smart cities

(α, β)-Zb-Geraghty type contraction in b-metric-like spaces via b-simulation function

The aim of this paper is to introduce the notion of (α, β)-Zb-Geraghty type contraction via b-simulation function and use this contraction to establish a common fixed point theorem for a pair of self-mappings in the context of a b-metric-like space. Our result extends and generalizes the result of Matthews [21], Khojasteh et al. [20], Demma et al. [15], Chandok [12] and some others also. We deduce some corollaries from our main result and provide examples to illustrate our results. Moreover, we apply our result to obtain a solution of second order differential equation.Publisher's Versio

DEVELOPMENT AND VALIDATION OF UV SPECTROPHOTOMETRIC METHOD FOR QUANTITATIVE ESTIMATION OF LAFUTIDINE IN BULK AND PHARMACEUTICAL DOSAGE FORM

Objective: The objectives of the present research was to develop a simple, precise, economical, accurate, reproducible and sensitive method for the quantitative estimation of lafutidine in bulk and its pharmaceutical dosage forms by Ultra Violet (UV) absorption spectrophotometry.Methods: The method uses 0.1 N HCl, pH 1.20 as a solvent of choice for the quantitative estimation of lafutidine in bulk and its tablets dosage form by UV absorption spectrophotometry at a wavelength of 290 nm. The method was validated for parameters like linearity, range, precision, Limit of Detection (LOD), Limit of Quantification (LOQ), accuracy, recovery and stability of the analyte.Results: Lafutidine exhibited absorbance maxima at 290 nm in 0.1 N HCl, pH 1.20 solvent. The developed method was validated as per the ICH validation guidelines. Beer's law was obeyed in range of 0-30 µg/ml with r2= 0.9997. The LOD and LOQ values of lafutidine were found to be 0.545 µg/ml and 1.654 µg/ml respectively. The mean % recovery for the developed method was found to be in the range of 99.25 to 99.45 % respectively for the marketed dosage forms. The developed method was also found to be robust.Conclusion: The developed method was found suitable for the routine quantitative analysis of lafutidinein bulk and pharmaceutical dosage form. It was also concluded that developed UV spectrophotometry method was accurate, precise, linear, reproducible, robust and sensitive

Utjecaj fluorida proizvedenih aluminijskim industrijskim postrojenjem na biljke i područja nastanjena ljudima

Fluorine is a highly reactive common element that does not occur in nature in the elemental state. It exists in the form of fluorides and accounts for about 0.3 g/kg of the Earth’s crust. Generally, it is found in the form of a number of minerals like fluorspar, cryolite and fluor-apatite. Fluoride has both positive and negative effects on individual health. Fluoride, in the form of fluorspar and cryo- lite is distributed extensively in the lithosphere, and is renowned as the thir- teenth most common among elements in the earth’s crust. Hydrogen fluorides in gaseous form accumulate in the leaves of generally sensitive plants against a concentration gradient and therefore, considered as a most phytotoxic air pollut- ant and affects plants at extremely low concentration. As per our study, it is found that the fluoride impacts on fauna are in normal condition, but in coming times it may have adverse impact on fauna and flora of surroundings of Hindalco Industries Limited.Fluor je vrlo reaktivan element koji se u elementarnom obliku ne pojavljuje u prirodi. Postoji u obliku fluorida u zemljinoj kori, gdje se nalazi u omjeru od oko 0,3 g/kg. Općenito, nalazi se u obliku velikog broja minerala poput fluorita, kriolita i apatita. Fluorid ima i pozitivne i negativne učinke na ljudsko zdravlje. Fluorid, u obliku fluorita i kriolita, široko je rasprostranjen u litosferi, a poznat je i kao trinaesta najčešća tvar u Zemljinoj kori. Fluorovodici u plinovitom obliku nagomilavaju se u listovima uglavnom osjetljivih biljaka prema gradijentu koncentracije. Stoga se smatraju najfitotoksičnijim onečišćujućim tvarima u zraku, a djeluju na biljke i pri ekstremno niskim koncentracijama. Prema našoj studiji utvrđeno je da su učinci fluorida na faunu u uobičajenim okvirima, ali u budućnosti može imati štetan utjecaj na faunu i floru u okruženju tvornice Hindalco Industries Limited

Utjecaj fluorida proizvedenih aluminijskim industrijskim postrojenjem na biljke i područja nastanjena ljudima

Fluorine is a highly reactive common element that does not occur in nature in the elemental state. It exists in the form of fluorides and accounts for about 0.3 g/kg of the Earth’s crust. Generally, it is found in the form of a number of minerals like fluorspar, cryolite and fluor-apatite. Fluoride has both positive and negative effects on individual health. Fluoride, in the form of fluorspar and cryo- lite is distributed extensively in the lithosphere, and is renowned as the thir- teenth most common among elements in the earth’s crust. Hydrogen fluorides in gaseous form accumulate in the leaves of generally sensitive plants against a concentration gradient and therefore, considered as a most phytotoxic air pollut- ant and affects plants at extremely low concentration. As per our study, it is found that the fluoride impacts on fauna are in normal condition, but in coming times it may have adverse impact on fauna and flora of surroundings of Hindalco Industries Limited.Fluor je vrlo reaktivan element koji se u elementarnom obliku ne pojavljuje u prirodi. Postoji u obliku fluorida u zemljinoj kori, gdje se nalazi u omjeru od oko 0,3 g/kg. Općenito, nalazi se u obliku velikog broja minerala poput fluorita, kriolita i apatita. Fluorid ima i pozitivne i negativne učinke na ljudsko zdravlje. Fluorid, u obliku fluorita i kriolita, široko je rasprostranjen u litosferi, a poznat je i kao trinaesta najčešća tvar u Zemljinoj kori. Fluorovodici u plinovitom obliku nagomilavaju se u listovima uglavnom osjetljivih biljaka prema gradijentu koncentracije. Stoga se smatraju najfitotoksičnijim onečišćujućim tvarima u zraku, a djeluju na biljke i pri ekstremno niskim koncentracijama. Prema našoj studiji utvrđeno je da su učinci fluorida na faunu u uobičajenim okvirima, ali u budućnosti može imati štetan utjecaj na faunu i floru u okruženju tvornice Hindalco Industries Limited

Analysis of Equation of States for the Suitability at High Pressure: MgO as an Example

A simple theoretical model is developed to study the high pressure behavior of solids and is applied to evaluate the pressure for MgO in case of large compression along with Shanker, Tait, Vinet, and Birch-Murnaghan equation of states (EOSs). These EOSs are also tested for the basic requirements revealed from the fundamental thermodynamics for solids in the limit of extreme compressions, as given by Stacey. It is found that for the high pressure compression behavior of MgO the present model, Tait, Vinet, and Birch-Murnaghan EOSs give the results compatible with the experimental data. It has also been found that in the regime of ultrahigh pressure the present model and Birch-Murnaghan EOS satisfy the Stacey criterion

Machine learning can guide experimental approaches for protein digestibility estimations

Food protein digestibility and bioavailability are critical aspects in addressing human nutritional demands, particularly when seeking sustainable alternatives to animal-based proteins. In this study, we propose a machine learning approach to predict the true ileal digestibility coefficient of food items. The model makes use of a unique curated dataset that combines nutritional information from different foods with FASTA sequences of some of their protein families. We extracted the biochemical properties of the proteins and combined these properties with embeddings from a Transformer-based protein Language Model (pLM). In addition, we used SHAP to identify features that contribute most to the model prediction and provide interpretability. This first AI-based model for predicting food protein digestibility has an accuracy of 90% compared to existing experimental techniques. With this accuracy, our model can eliminate the need for lengthy in-vivo or in-vitro experiments, making the process of creating new foods faster, cheaper, and more ethical.Comment: 50 pages, submitted to Nature Foo

Not Available

Not AvailableIndia is agriculture based country and has experienced an enormous change in food and nutrition utilization design since the financial change in mid 1990s. Agribusiness is considered as the backbone for Indian economy, therefore Indo Gangetic Plain (IGP) holds vast agricultural importance contributing to major portion to our national income. High financial development rates of Indian economy have neglected to enhance food security in India. The welfare of an expanding economy are not shared equally as the country is still home to one-third of the world’s poor. Hunger in India is considered as a genuine imprint on its development and food security has now evolved as a principal issue. Presently, interest in agriculture, nutrition, and dietary security is a prime worry for the country to accomplish the target of encroachment. An expansive area of Indian population is experiencing lack of healthy sustenance and deficiency of nourishment grains. This paper demonstrates nourishment utilization design across selected social and economic groups in the states coming under IGP region of India which includes West Bengal, Bihar, Uttar Pradesh Punjab and Haryana. The analysis helps in distinguishing the disparities among calorie, protein and fat consumption in IGP region. An attempt has also been made in recognizing socio-economic groups suffering from deficiencies in nutrition consumption.Not Availabl

Resistive broadening in sulfur doped FeTe

Peer reviewe

Hereditary Spherocytosis in a 17 year girl: A case report

Abstract— Hereditary spherocytosis (HS) is a familial hemolytic disorder with marked heterogeneity of clinical features, ranging from an asymptomatic condition to a fulminate haemolytic anaemia. Although a positive family history of spherocytosis increases the risk for this disorder, it may be sporadic in some cases. Seventeen years old girl presented with mild anaemia, jaundice and moderate splenomegaly. Her haematological parameters supported diagnosis of hereditary spherocytosis. Appropriate treatment was started with an advice to patient to undergo splenectomy as an active part of management of the disorder. Mother and other siblings were normal