Multimodal Emotion-Aware Automatic Speech Recognition (ASR) systems have emerged
as a critical advancement for real-time interaction tasks, enabling systems to not only transcribe speech but also interpret emotional context. This study introduces a novel Multimodal Emotion-Aware ASR framework that effectively integrates acoustic, visual, and textual modalities using advanced fusion techniques. The proposed system employs low-rank tensor fusion and dynamic
feature selection, achieving state-of-the-art results across multiple benchmarks. Specifically, the method achieves a Weighted Average F1-Score (WAF) of 85.6% and an Accuracy (ACC) of 87.3% on the MER-SEMI dataset and a WAF of 80.3% with an ACC of 81.7% on the MER-NOISE dataset. Robust five-fold cross-validation results on Train & Val further demonstrate generalizability, with a
WAF of 84.3% and an ACC of 86.1%. These results underscore the system’s ability to generalize across diverse languages, including Arabic, and to handle noisy and dynamic environments effectively.

Detection of Malicious behaviour or compromised node before transmitting the data packets in pervasive computing is quite a big challenge. This Paper presents an Intelligent Malicious Behaviour Detection Model (IMBDM) on a self-detection scheme. We investigated that by using probabilistic methodology in MANET, a node is able to detect the malicious behaviour of a neighbour by forwarding the RREQ. Our proposed artificial Intelligence detection model is also proficient to (1) manage the malicious counter if any neighbour node acts as malicious, (2) for crystal detection our proposed protocol also manages queue information for controlling minimum packet loss ratio and adopts the next optimum path, and (3) to real time dynamic path selection on the basis of minimum Signal to Noise Ratio (SNR). In simulation experiments, we achieved the expected results for fair malicious behaviour detection.

The diurnal dynamics of the vertical distribution of zooplankton was studied in Bhoj Wetland, Bhopal. Vertical distribution of the zooplankton community in general showed a clear diurnal variation in the water columnof a typical stratified lake.Zooplankton concentration was found to be high at the surface layer during night hours with peak abundance around the middle of the night and another peak was observed just before sunrise, followed by a rapid nadir after sunrise. Zooplankton can offset the loss of daytime foraging opportunity by moving up into the water column to graze at night, when predation by visual predators is greatly reduced and it can be also attributed to light intensity which is responsible for vertical migration during the twenty four hour cycles.Among different classes, cladocerans and the copepod showed nocturnal migration conversely rotifers, had a relatively uniform distribution throughout the water column. Out of the twenty three species, Bosmina species and Cyclops species ascended at night and descended during day hours,however, Keratella cochlearis showed uniformity in distribution throughout the water columnduring the study.

Assembly lines are special flow-line production systems which are of great importance in the industrial mass production. Since total working time of a product in most industrial factories dealing with heating products is important because of its costs, this paper introduces the effect of task deterioration in to the total working time of a product in assembly line. Task deterioration means that a task processed later consumes more time than the same task when it is processed earlier. The aim is to find an optimal schedule of tasks in the workstations so as to minimize total working time of a product for a given number of stations and given upper bound for the cycle time. For this aim a mathematical model is proposed. According to complexity of the considered problem a genetic algorithm is developed to deal with the problem in lager scales. At the end several well-known examples are solved and the results proved that the deterioration will affect both cycle time and working time, simultaneously in a straight assembly line.

Head injuries are one of the main causes of death or permanent invalidity in everyday life. The
main purpose of the present work is to build and validate a numerical model of human head in
order to evaluate pressure and stress distributions in bones and brain tissues due to impact.
Furthermore, the Head Injury Criterion (HIC) and the recently proposed Head Impact Power
(HIP) criterion were evaluated with respect to the relative motion between the skull and the
brain. It was found that the influence of impact direction had a substantial effect on the intracranial response. Geometrical characteristics for the finite element model have been
extracted from CT and MRI scanner images, while material mechanical characteristics have been
taken from literature. The analysis is performed using the program Ansys 3D to evaluate the risk
of head injury in impact. The model is validated by comparing the numerical results and the
experimental results obtained by Nahum in 1977.

Blast-induced traumatic brain injury (TBI) is one of the main causes of death or permanent
invalidity which can occur unexpectedly in both military and civilian populations.
The purpose of this effort is to conduct a combined Eulerian-Lagrangian non-linear dynamics
computational analysis of the interaction between a single planar blast wave and a human head in
order to assess the extent of intra-cranial shock wave generation and its potential for causing
traumatic brain injury. In this paper, an LS-DYNA three dimensional transient modal dynamic
finite element analysis was performed of a simplified brain model surrounded by cerebral spinal
fluid and skull. Viscoelastic material parameters of the brain tissue were obtained from open
literature. The localized response parameters predicted by the head model will be analyzed and
compared between various loading conditions.

Completed in 2011, Transalpina Road crosses the Parâng Mountains from north to south, linking two major tourism areas: Northern Oltenia and Mărginimea Sibiului. Through the specific tourism resources of the mountain area, which have become accesible to tourists, but also through other tourism resorces, Transalpina is a self-standing tourism product, on its way to become a self-standing tourism destination.The present study aims to highlighting the particularities of Transalpina Road as a tourism attraction / tourism product / tourism destination, as well as its role in the local tourism entrepreneurship initiatives; thus, through the assessment of the potential market (respectively, opinions and preferences), a marketing research – survey type has been conducted.