This article performs fluid-structure coupling numerical calculations on the internal flow field and fluid-induced vibration deformation of a nozzle flow meter under different flow conditions. It was found that at different inner wall temperatures, the internal heat transfer of a nozzle flowmeter gradually weakens with an increase in flow rate, while changes in the inner wall surface temperature have a relatively small effect on internal pressure fields, dynamic stresses, and vibration deformation caused by fluid in the flow meter..........

KEYWORDS:- Nozzle flowmeter, fluid-solid coupling, flow rate, wall temperature, vibration deformation.

The presentation outlines the most prominent changes, obstacles, and tactics within the emerging e-commerce sector. The latest research points to the rising popularity of mobile shopping and personalized experiences, which is prompted by the proliferation of smartphone and internet access worldwide. Social commerce has emerged, and the platforms have incorporated shopping as well. While competition from Amazon and other major online retailers applying economies of scale to increase their scale intensified. Survey results proved that most consumers prefer fast and easy shopping on different widgets. The longer delivery times and the slow pace of production caused a drop in customers' loyalty..........

KEYWORDS:- E-commerce, online retail, mobile shopping, customized experiences, smartphone, internet, social commerce.

The identification of emotions from speech is a challenging task due to the vague definition of emotion itself. This study employs a feature-based approach to address speech emotion recognition. The problem is formulated as a multi-class classification task, and two types of models are compared in terms of their performance. Eight manually crafted features are extracted from speech for both approaches. In the first method, six traditional machine learning classifiers are trained using the extracted features, while the second approach utilizes deep learning techniques, where a feed-forward neural network and an LSTM-based classifier are trained on the same features. Additionally, to mitigate communication ambiguities, text-based features are also included. The study evaluates the models in various settings and reports accuracy, f-score, precision, and recall. The results demonstrate that simpler machine learning models trained on a few handmade features can achieve comparable performance to the current state-of-the-art deep learning-based method for emotion recognition.

KEYWORDS:- emotion recognition, multimodal, deep learning, multi-class classification, machine learning.

Nonwoven is engineered fibrous material designed according to the application's requirements. Nonwoven is used for filtration applications because of its structure. The filtration efficiency depends upon the effectiveness of catching the particles in the stream. The filtration properties of the nonwoven are permeability, pressure drop, and filtration efficiency. All these parameters determine the total quality of the filtration materials. The nonwoven composite is manufactured by combining different nonwoven fabrics manufactured from different fiber materials. The composite nonwoven has lower energy consumption, longer filter life, good filtration efficiency and easy cleanability. .

KEYWORDS:- nonwoven composite, filtration efficiency, permeability, pressure drop, fibrous material.

One of the main objectives in theoretical physics since the early years of quantum mechanics (QM) is to obtain an exact solution of the Schrödinger equation for some special physically important potentials. Since the wave function contains all necessary information for full description of a quantum system. Analytical solution of the Schrödinger equation is of high importance in non-relativistic and relativistic quantum mechanics. The development of potential theory offers compelling coarse-grained descriptions of fundamental interactions in quantum field theory We have obtained exact solution of the position dependent mass Schrödinger equation for the Hulthen plus Coulomb tensor potential. Using the Nikiforov–Uvarov method, we analytically develop the relativistic energy eigenvalues of wave functions. The exact bound state energy eigenvalues and corresponding eigenfunctions are presented. The bound state eigenfunctions are obtained in terms of the hypergeometric functions. PACS numbers: 03.65.Pm, 03.65.Ge, 03.65.Fd, 02.30.Gp .

KEYWORDS:- Position dependent mass Schrödinger equation, Hulten potential, Coulomb tensor potential, Nikiforov-Uvarov method

Theory of Time" is a research and analysis report on 'All kind of Transformation processes' to find out the reason for changes, this is a Universal Theory&applicable for all natural phenomena. I had found some systematic/ logical/relational imbalance among the principles of AC Transformer, Ohm's law, series parallel circuits and law of conservation of energy .

KEYWORDS:- UniversalTransformation System, time (time storage and live time running process), Energy with Powertransformation system, Mechanical Resistance = Electrical Resistance, Newton's 3rd Law under transformation, number of members inside the system

Efficient resource allocation in academic settings, particularly in the scheduling of examinations, is a critical challenge faced by educational institutions globally. The complex constraints of available examination rooms, time slots, and proctor availability necessitate an optimal scheduling strategy that maximizes resource utilization while adhering to stringent cost and time constraints. This paper explores the application of the 0/1 Knapsack problem to the exam scheduling dilemma, a novel approach in optimizing such resources under specified constraints. Previous research in this area has spanned various methodologies ranging from heuristic algorithms to complex graph-based solutions, each addressing different aspects of the scheduling problem..........

KEYWORDS:- Exams, Scheduling, Exam Scheduling System, dynamic programming, knapsack model.

The Internet of Things (IoT) is one of the fastest developing technologies today, as well as one of the most influential. Traditional healthcare systems are gradually being replaced by the Internet of Things (IoMT). But when it comes to the Internet of Things and its networks, less emphasis is placed on cybersecurity. The difficult problem of creating standard security solutions for IoMT networks may be one of the main factors. It has a hand in almost every area of our lives, from financial transactions to healthcare, from communications to national security, from war to smart homes, and so on. However, interoperability, compatibility, heterogeneity, high data amounts, heterogeneous data processing, and other issues plague the rapid growth of IoT...........

KEYWORDS:- blockchain, IoT, cyber-attacks, healthcare

This literature survey examines the economic impacts of artificial intelligence (AI) on labor markets, focus-ing on job displacement, wage inequality, and the creation of new employment opportunities. By employing a systematic methodology, including Latent Dirichlet Allocation (LDA) and citation graph analysis, the study identifies key themes and influential papers within the field. The findings highlight a nuanced consensus: while AI and automation pose significant risks of job displacement and polarization, they also offer potential for job creation and complementarity, particularly in tasks requiring human intuition and empathy. The research underscores the importance of task characteristics, skill requirements, and contextual factors in understanding AI's labor market effects. Future research should address the evolving nature of AI technologies, refine quantitative methodologies, and consider broader policy responses to ensure inclusive economic growth.

The most widely used material meeting the conditions of good compressibility, corrosion resistance, paintability, weldability and cost-effectiveness are galvanized sheet metal. The automotive industry, where most car body parts are produced by deep drawing, is experiencing the largest increase in the consumption of galvanised sheet metal. Deep drawing is related to the anisotropy of the mechanical properties of the sheet metal, which is manifested by the different height of the yield around its perimeter, i.e. the formation of ears. The paper deals with the evaluation of the influence of zinc layer heat treatment on the formation of AHSS steel ears. Two types of AHSS steels were evaluated for which the creation of ears of the cup was assessed by the cupping test. The ears creation of the cups in the basic state (not affected by heat treatment) and the cups after annealing of the Fe-Zn layer were compared.

KEYWORDS:- Ears formation, thin steel sheets, Fe-Zn layer, cupping test

Cyclic voltammetry have been applied to a wide variety of new problems. Parallel to this growth the theoretical understanding of these various techniques has been developed. The primary event in most cyclic voltammetric experiments is the oxidation or reduction of a solution chemical species at an electrode. In this study we can show the application of cyclic voltammetry on some coumarin derivatives to produce a new organic copounds in away easy more than traditional methods of synthesis of organic derivatives of coumarin compound.

KEYWORDS:- Cyclic voltammetry, glassy carbon electrode, coumarin derivative, cyclic voltammograme, Oxidation, reduction

Most of the schedule management software currently applied in construction project uses the Precedence Diagramming Method (PDM) because overlapping relationship between activities is possible. However, the overlapping relationship between the activities of the PDM is expressed in the form of a bar chart in order to indicate the four combinations that connect the start and end points of the preceding and subsequent activities. In the bar chart format, overlapping connecting lines between activities occurs, making it difficult to visually judge the logic between activities. Therefore, the visual representation of the PDM schedule is very weak. This makes it difficult for construction professionals to communicate by lowering their understanding of the schedule.

KEYWORDS:- Overlapping, Conversion, CPM, PDM, BDM.