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The purpose of this paper is to assess the feasibility of analytical models, specifically the radial basis function method, Akbari–Ganji method and Gaussian method, in conjunction with the finite element method. The aim is to examine the impact of processing parameters on temperature history.

Through analytical investigation and finite element simulation, this research examines the influence of processing parameters on temperature history. Simufact software with a thermomechanical approach was used for finite element simulation, while radial basis function, Akbari–Ganji and Gaussian methods were used for analytical modeling to solve the heat transfer differential equation.

The accuracy of both finite element and analytical methods was validated with about 90%. The findings revealed direct relationships between thermal conductivity (from 100 to 200), laser power (from 400 to 800 W), heat source depth (from 0.35 to 0.75) and power absorption coefficient (from 0.4 to 0.8). Increasing the values of these parameters led to higher temperature history. On the other hand, density (from 7,600 to 8,200), emission coefficient (from 0.5 to 0.7) and convective heat transfer (from 35 to 90) exhibited an inverse relationship with temperature history.

The application of analytical modeling, particularly the utilization of the Akbari–Ganji, radial basis functions and Gaussian methods, showcases an innovative approach to studying directed energy deposition. This analytical investigation offers an alternative to relying solely on experimental procedures, potentially saving time and resources in the optimization of DED processes.

This study aim to use the finite volume method to solve differential equations related to three-dimensional simulation of a solar collector. Modeling is done using ANSYS-fluent software program. The investigation is done for a photovoltaic (PV) solar cell, with the dimension of 394 × 84 mm², which is the aluminum type and receives the constant heat flux of 800 W.m⁻². Water is also used as the working fluid, and the Reynolds number is 500.

In the present study, the effect of fluid flow path on the thermal, electrical and fluid flow characteristics of a PV thermal (PVT) collector is investigated. Three alternatives for flow paths, namely, direct, curved and spiral for coolant flow, are considered, and a numerical model to simulate the system performance is developed.

The results show that the highest efficiency is achieved by the solar cell with a curved fluid flow path. Additionally, it is found that the curved path’s efficiency is 0.8% and 0.5% higher than that of direct and spiral paths, respectively. Moreover, the highest pressure drop occurs in the curved microchannel route, with around 260 kPa, which is 2% and 5% more than the pressure drop of spiral and direct.

To the best of the authors’ knowledge, there has been no study that investigates numerically heat transfer, fluid flow and electrical performance of a PV solar thermal cell, simultaneously. Moreover, the effect of the microchannel routes which are considered for water flow has not been considered by researchers so far. Taking all the mentioned points into account, in this study, numerical analysis on the effect of different microchannel paths on the performance of a PVT solar collector is carried. The investigation is conducted for the Reynolds number of 500.

This study aims to determine the effect of Islamic branding, experiential marketing and word of mouth on college decisions and to find marketing strategies through strengthening Islamic branding based on experiential marketing to increase the number of students at Muhammadiyah-Aisyiyah Higher Education.

This study used a quantitative method, with data collection carried out using a survey method by giving questionnaires to respondents. The respondents' criteria are active students, at least in semester three, who have studied at Muhammadiyah-Aisyiyah Higher Education in Indonesia, using a sampling technique with accidental sampling. Data analysis used Partial Least Square - Structural Equation Modeling to determine the estimated results or model predictions.

The results showed a significant direct effect of experiential marketing, Islamic branding and word of mouth on college decisions. There is an indirect effect between experiential marketing and Islamic branding on college decisions through word of mouth, but the word-of-mouth variable could not mediate the relationship between experiential marketing and Islamic branding on college decisions perfectly.

The limitation of the results of the study is that it uses respondents who are and have participated in learning activities on the Muhammadiyah-Aisyiyah Higher Education, where the Muhammadiyah-Aisyiyah Higher Education has added value compared to other private campuses. The added value on the Muhammadiyah-Aisyiyah Higher Education is the overall learning activity based on Kemuhammadiyahan Islam in Indonesia. Islam Kemuhammadiyahan is the identity of the Islamic branding strategy on the Muhammadiyah-Aisyiyah Higher Education, which is only owned by the Muhammadiyah-Aisyiyah Higher Education.

This study recommends marketing strategies through strengthening Islamic branding based on experiential marketing to increase the number of students at Muhammadiyah-Aisyiyah Higher Education.

The novelty of this research is the addition of experiential marketing and Islamic branding variable measurements on word of mouth and college decisions, especially prospective students to study at Islamic Higher Education in Indonesia.

The objective of this paper is to propose a new data envelopment analysis (DEA) model for assessing sustainability of suppliers with partial impacts between inputs, desirable outputs and undesirable outputs.

This paper examines partial impacts of inputs on desirable and undesirable outputs and applies weak disposability assumption to propose a novel DEA model to determine the sustainability of suppliers.

This paper shows the type of resource sharing in DEA models and takes into account sustainable development and sustainability assessment concepts for sustainable supplier selection problem and develops a DEA model for selecting the most sustainable suppliers with partial sharing of resources. To select the most sustainable suppliers, this model helps managers to consider aggregate efficiency, overall efficiency and bundle efficiency. The paper introduces the supplier which is efficient at all levels as the most sustainable supplier.

For the first time, this paper suggests a new DEA model by partial impact between inputs and good outputs/bad outputs for selecting sustainable supplier and deals with the situations in which each supplier has several subunits. The new model calculates aggregate efficiency, overall efficiency and subunit efficiency of supplier. paper introduces the supplier which is efficient in all levels including aggregate efficiency, overall efficiency and subunit efficiency as the best supplier.