The effect of magnetic mirror force on the field-aligned acceleration of plasmas

A magnetic mirror effect on the field-aligned acceleration of plasma flow is discussed for anisotropic plasma conditions by incorporating double adiabatic equations of state. In a non-uniform distribution of the field magnitude along the field lines, it is found that the field-aligned acceleration is toward higher field intensity region for the fluid of low thermal energy, while the acceleration is toward lower field intensity region for the fluid of high thermal energy. We infer that perpendicular pressure would cause such an energy-dependent behavior of the field-aligned acceleration through the magnetic mirror force

The Influence of Marketing Mix, Perceived Risk, and Satisfaction on Word of Mouth in Xyz Clinic

The increasing need for health services, peoples who lived in the Pekayon, Bekasi City were given the opportunity to choose the right clinic. Word of mouth is a marketing technique that can be used by clinics. This study aims to analyze the effects of the marketing mix, perceived risk, and satisfaction on word of mouth at XYZ clinic. The research is a descriptive method with a survey using questionnaires and 200 respondents as the sample. Furthermore, the data analysis technique is descriptive with SPSS16.0 software and Structural Equation Model (SEM) with LISREL 8.70. Based on the results, it can be concluded that the marketing mix has a positive effect on perceived risk, marketing mix has a positive effect on satisfaction, perceived risk has a negative effect on satisfaction, marketing mix has a positive effect on word of mouth, perceived risk has a negative effect on word of mouth, and satisfaction has a positive effect on word of mouth. Referring to these conclusions, it can be confirmed that the clinical management of doctor XYZ needs to improve employee services, convenience the patient that this clinic has expert doctors, and utilizing the use of social media as a marketing strategy

Characterization of Transmission and Reflection of Ku Band Split Ring Resonator Reflectarray using Waveguide Method

In this paper, the analysis, design, and measurement of a split ring resonator reflectarray is presented. The 6 different designs of reflectarray are simulated to analyze the effect of splits position on resonance frequency. The SRR reflectarray which covered highest frequency bandwidth at Ku-band is fabricated and tested. In the fabrication, FR4 substrate is used. The S-parameter measurements of the fabricated reflectarray are performed by waveguide method. The obtained results have good reflection characteristics for a wide frequency range from 12 GHz to 16.5 GHz in Ku-band. The maximum value of reflection is achieved approximately at 15.3 GHz frequenc

Contribution à la résolution du problème direct en scatterométrie par réseaux de neurones

Le travail consiste à résoudre le problème direct par réseaux de neurones (PMC). Au départ ce problème se résolvait par la méthode modale par développement de Fourier. Pour notre étude, La résolution de ce problème consiste à la détermination de la signature Scatterométrique théorique d’un réseau périodique (intensités lumineuses) connaissant certains paramètres (dimensions géométriques, indices des matériaux, période et la longueur d’onde etc.). L’étude est de créer un RN et de lui fournir les dimensions du profil et de déterminer les intensités lumineuses (Is et Ic), puis comparer les signatures calculées par la MMMFE et le RN en calculant l’erreur quadratique et tracer les courbes de comparaison de ces signatures.Mots-clés: scatterométrie, MMMFE, réseau de neurones, Matlab. Contribution to the solution of the direct problem in scatterometry with neural networksThe work is to solve the direct problem by neural networks (PMC). Initially this problem solved by the modal method by Fourier expansion. For our study, the resolution of this problem consists in determining the theoretical scatterometric signing of a periodic array (light intensity) knowing certain parameters (geometrical dimensions, materials indices, period and wave Length etc.). The study is to create a RN and provide the profile dimensions and determine the light intensity (Is and Ic), and then compare the signatures calculated by MMMFE RN and by calculating the mean square error and trace curves comparison of these signatures.Keywords: scatterometry, MMMFE, neural Network, Matlab

Assessment of silt deposit and soil physical properties along River Benue Bank, Adamawa State

This research was aimed at assessing the presence of silt deposit and soil physical properties along the River Benue bank, Shinko area in Yola North Local Government Area of Adamawa State, Nigeria. This was to determine the soil textural classes which are important when transplanting and going into farming in the area. Three plots of 20m x 20m were randomly established at the solid waste area (SWA), silt + solid waste (SSW), silted (SA) and no-silt; no-waste (NWS) areas. Soil samples were collected at various depth levels (D1 – 15cm, D2 – 30cm, D3 – 60cm) of the three plots laid in each of the four areas at a distance of 5m, 15m and 25m. 4x3 Factorial Experiments in Randomized Completely Block Design (RCBD) was used. Mechanical analysis tests for soil textural classes were also carried out. The result shows mean sizes of soil textural classes at 5m, 15m and 25m distances and at different depth levels of the study areas. At α = 0.05, the mean value of pH was significantly different at the various sampling locations. The silted area textural class shows sandy-loam, sandy and loamy-sand at 15cm, 30cm and 60cm depth level at 5m distance. To prevent future impacts and to curtail silt deposition, various measures should be considered in an attempt to reduce the effects of deforestation on the environment. Artificial regeneration should be encouraged in areas with trait of flooding and tree planting should be considered as part of all developmental projects.Keywords: Siltation, River Benue, Soil, Flood and Deforestatio

GPT models in construction industry: Opportunities, limitations, and a use case validation

Large Language Models (LLMs) trained on large data sets came into prominence in 2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from OpenAI have been released. These models perform well on diverse tasks and have been gaining widespread applications in fields such as business and education. However, little is known about the opportunities and challenges of using LLMs in the construction industry. Thus, this study aims to assess GPT models in the construction industry. A critical review, expert discussion and case study validation are employed to achieve the study's objectives. The findings revealed opportunities for GPT models throughout the project lifecycle. The challenges of leveraging GPT models are highlighted and a use case prototype is developed for materials selection and optimization. The findings of the study would be of benefit to researchers, practitioners and stakeholders, as it presents research vistas for LLMs in the construction industry