The present research examines the effect of nuclear energy consumption, financial globalization, nuclear energy technology research and development (R&D) budget on the environmental quality in the context of France. The load capacity factor (LCF) is employed as a novel proxy for environmental sustainability, explaining how human actions affect environmental sustainability and how nature compensates human induced damage. Using the novel approach of Augmented Autoregressive Distributed Lag, the findings of this study show that: (i) the load capacity curve (LCC) hypothesis is valid (ii) Nuclear energy consumption and nuclear energy technology R&D promote the environmental quality by increasing LCF. (iii) The financial globalization (overall, de jure, and de facto) has a positive influence on LCF, suggesting the positive role of financial globalization in boosting environmental sustainability in France. This study presents vital policy implications that can assist policymakers in France in achieving their environmental sustainability objectives.

Pneumonia remains a major global health burden, where timely recognition on chest X ray images is clinically important yet often challenged by subtle radiographic signs and variability in interpretation. This paper presents a controlled comparative evaluation of four convolutional neural network architectures, MobileNet, ResNet50, VGG, and InceptionV3, for binary classification of chest X ray images into diseased and normal cases. Experiments were conducted using a publicly available Kaggle dataset of 4,479 images under a unified preprocessing and evaluation protocol. Performance was assessed on a held out test set of 300 images, including 200 diseased and 100 normal cases, using accuracy and macro averaged precision, recall, and F1 score, supported by confusion matrix analysis. The results show that MobileNet achieved the highest test accuracy at 95.0 percent, while ResNet50 and VGG achieved 94.7 percent, and InceptionV3 achieved 92.0 percent. Confusion matrix inspection indicates that MobileNet produced the fewest false negatives for diseased cases in this setting, which is important for screening oriented use. Inference time measurements using batch size 1 at 180 × 180 input on CPU further highlight the efficiency advantage of lightweight architectures. Overall, these findings provide a reproducible benchmark to support architecture selection for computer assisted pneumonia screening and clinical triage

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Nanotechnology is a modern technology and has many applications that include the manufacture of molecules or particles in the range of the nanoscale. Nanotechnology from the Greek word nano, meaning "dwarf". Nanoparticles are defined as single particles whose dimensions do not exceed 100 nanometers. The unique properties and features of nanoparticles are due to their small size, in addition to their chemical composition and surface structure. Different materials at the nanoscale lead to the development of new properties in industrial products, resulting in a real and impressive increase in industrial and medical applications. In this review, we will learn about this technology, its history, and the characteristics and shapes of nanoparticles. The focus will be on the application of nanotechnology in medicine, particularly in engineering living tissues with nanoscale scaffolds that simulate the functions of the extracellular matrix (ECM) to promote tissue recovery, replacement, and regeneration. It turns out that stem cells attached to a scaffold are more successful in adapting to their environment and performing the task of regeneration. The nerve endings in the body are attached to the scaffolding by weaving between the openings. This will cause them to act as a bridge to connect the cut sections. Over time, the scaffolds will dissolve and exit the body safely, leaving intact nerves in place. Some of the successfully used scaffolds are briefly identified, such as bone scaffolds, cardiac muscle scaffolds, and spinal cord engineering.

This paper presents a comparative performance 

analysis of Wavelength Division Multiplexing (WDM) optical fiber and Free Space Optics (FSO) communication systems. A simulation-based optical communication system was designed, incorporating transmitters and receivers to achieve efficient data transmission among several locations, including Tripoli central post office, Gharyan post office, and Gharyan University linked to its affiliated faculties. The study involved collecting fundamental system parameters, developing a theoretical model, and implementing it using OptiSystem 7.0. Using the same operational parameters, network performance was assessed based on key indicators such as signal quality, bit error rate (BER) and Q-factor. In addition, the FSO system was evaluated under two different environmental scenarios: Ideal weather conditions and Atmospheric turbulence conditions, reflecting the typical climatic characteristics of Gharyan city, 

where the city is frequently experiences windy atmospheric conditions. Simulation results demonstrate that the proposed systems are capable of efficient data transmission, enhancing the effectiveness of optical communications in the region. Both Optical Fiber and FSO networks achieved satisfactory performance; however, FSO showed superior performance in some metrics under ideal weather conditions. Some faculties had short links (≤ 2 km) that did not require precise point-to-point alignment, while others required accurate point-to-point links. In contrast, the findings indicate that FSO can serve as an effective and competitive alternative to optical fiber in environments with suitable climatic conditions, particularly when reducing deployment cost and installation time is a priority, while providing a scalable and sustainable solution to meet future communication requirements. 

This paper analyzes a power system of three regions, each independently responsible for meeting its daily load demands. The regions are interconnected via transmission tie lines, allowing maximum power capacity (MW) transfer in both directions. This study investigates the operation of the power system under different load conditions and examines the possible effects of power transfer limits on the reliability and efficiency of electricity supply across the regions. The research evaluates the optimal operation of generation units within each region while considering the constraints imposed by the transmission tie lines. It indicates that increasing the capacity of transmission tie lines would greatly improve power transfer between regions. Our findings discover that strategic coordination between the regions significantly enhances the system efficiency, reduces generation costs, and minimizes the risk of load shedding during periods of high demand. Additionally, the paper analyzes the effects of different load demands and transmission capacities on system performance, highlighting the advantages of regional interconnections in enhancing energy resilience. The research also investigates the optimal unit commitment for the total load for the same daily load curve by using the quad program. Quadratic Programming allows a full quadratic cost function for each variable together with linear equality and inequality constraints, as well as lower and upper bound limits on the variables.