Thermodynamic properties of tetragonal silicene nanoribbons under the influence of bias voltage and magnetic field.

This theoretical study provides a comprehensive analysis of the tunable influence of combined electric bias and magnetic fields on the thermoelectric properties of Tetragonal Silicene nanoribbons (T-SiNRs). The analysis focuses on both symmetric and asymmetric lattice configurations of T-SiNRs. The findings reveal that the application of a bias voltage induces an energy gap, transforming metallic T-SiNRs into semiconductors.

Performance Enhancement of a Conventional Solar Still Using a Cylindrical Solar Water Heater and Cu/AlO Hybrid Nanofluid: A Sustainable Approach to Water Purification.

This study investigates a novel approach to enhancing still solar desalination technology by modifying a conventional solar still unit (SSU) with a cylindrical solar water heater (CSWH) and utilizing Cu/AlO hybrid nanofluid as the working fluid. The addition of hybrid nanoparticles significantly improves the heat transfer performance of the system, particularly in the evaporative heat transfer process. This enhancement is achieved by increasing the thermal conductivity of the base fluid, thereby boosting the overall heat transfer coefficient.

Novel high-performance microstrip diplexer for 5G mid-band and wide-band applications: Design, analysis and manufacturing.

This paper presents the design and experimental results of a microstrip diplexer with a high performance for 5G applications. The introduced diplexer has compact size, novel structure, low losses, and wide fractional bandwidth. Notably, it exhibits a novel microstrip layout with a very compact size of 0.

Auxetic 3D printed metastructure stents for enhanced mechanical and structural performance and biocompatibility in coronary artery treatments.

Research into next-generation materials is crucial for addressing complex mechanical challenges, leading scientists to explore auxetic structures that expand laterally when stretched, unlike traditional materials. This study aims to address the gap in the design and performance evaluation of hybrid auxetic stents for vascular applications, focusing on their mechanical properties and potential advantages over conventional stents. A new auxetic unit cell was designed, integrating arrowhead and missing rib geometries.

Application of machine learning approaches for estimating carbon dioxide absorption capacity of a variety of blended imidazolium-based ionic liquids.

Ionic liquids (ILs) have gained attention in recent times as potentially effective absorbents for CO emissions owing to the number of their notable attributes, including reduced volatility, enhanced thermal consistency etc. Due to the number of challenges of thermodynamic models in forecasting CO solubility in ILs under a variety of operating conditions, machine learning (ML) approaches have been developed as a result of the necessity for an alternate solution. Nevertheless, there are currently quite a few of forecasting techniques available for evaluating the solubility of CO, specifically in combinations of imidazolium-based ILs.

Socio-hydrological analysis: a new approach in water resources management in western Iran.

Human consumption patterns have a significant impact on the amount of available water. However, the human effect on water resources is perceived to have been poorly studied. For the effective management of water resources, social and hydrological components should be studied.

A New Polymeric Hybrid Auxetic Structure Additively Manufactured by Fused Filament Fabrication 3D Printing: Machine Learning-Based Energy Absorption Prediction and Optimization.

The significance of this paper is an investigation into the design, development, and optimization of a new polymeric hybrid auxetic structure by additive manufacturing (AM). This work will introduce an innovative class of polymeric hybrid auxetic structure by the integration of an arrow-head unit cell into a missing rib unit cell, which will be fabricated using fused filament fabrication (FFF) technique, that is, one subset of AM. The auxetic performance of the structure is validated through the measurement of its negative Poisson's ratio, confirming its potential for enhanced energy absorption.

New tile-based circuits converting BCD code to gray, excess-3, and aiken codes in quantum-dot cellular automata (QCA) nanotechnology.

The development of new methods and technologies for improving the stability and reducing the power consumption of electronic devices is a crucial area of research. Quantum-dot Cellular Automata (QCA) has emerged as a promising alternative to the traditional Complementary Metal-Oxide-Semiconductor (CMOS) technology, offering superior optimization in terms of physical size and energy efficiency. This paper introduces three novel digital code converters, designed using the tile-based approach to simplify circuit implementation and enhance integration through optimized majority and inverter gate structures.

Sodium alginate modified metal oxide nanoparticles as a desirable nanofiller for polyethersulfone membranes: Application in diclofenac removal from water.

Biopolymers offer significant advantages in water treatment applications. This study investigates polyethersulfone (PES) membranes enhanced with TiO₂ and Fe₃O₄ nanoparticles modified by sodium alginate (NaAlg), abbreviated as NaAlg@TiO₂ and NaAlg@Fe₃O₄, for the removal of diclofenac sodium salt (DCF) from water. The NaAlg biopolymer modification was achieved by wrapping the metal oxide nanoparticles.

Prediction of COVID-19 patients' participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches.

Background: Informal care plays an essential role in managing the COVID-19 pandemic. Expanding health insurance packages that reimburse caregivers' services through cost-sharing policies could increase financial resources. Predicting payers' willingness to contribute financially accurately is essential for implementing such a policy.

Design and fabrication of a microstrip triplexer with wide flat channels for multi-band 5G applications.

In this paper, a new microstrip triplexer is designed to work at 2.5 GHz, 4.4 GHz and 6 GHz for mid-band 5G applications.

Designing process and analysis of a new SOI-MESFET structure with enhanced DC and RF characteristics for high-frequency and high-power applications.

This research introduces a new designing process and analysis of an innovative Silicon-on-Insulator Metal-Semiconductor Field-Effect (SOI MESFET) structure that demonstrates improved DC and RF characteristics. The design incorporates several modifications to control and reduce the electric field concentration within the channel. These modifications include relocating the transistor channel to sub-regions near the source and drain, adjusting the position of the gate electrode closer to the source, introducing an aluminum layer beneath the channel, and integrating an oxide layer adjacent to the gate.

Structural simulation and performance evaluation of a novel synthesized ZIF in the adsorption of MO from aqueous solutions.

Zeolitic imidazolate frameworks (ZIFs) are desirable materials widely applied as adsorbent for wastewater treatment. This study synthesizes and applies a novel structured ZIF with organic ligand of 2-methyl imidazole and metal salt of copper (II) sulfate as adsorbent. Its morphology and structure were investigated using Fourier transform infrared spectroscopy, X-ray diffraction, scanning electron microscope, field emission scanning electron microscope, energy dispersive X-ray spectrometry, and mapping analysis.

A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning.

In recent years, human physical activity recognition has increasingly attracted attention from different research fields such as healthcare, computer-human interaction, lifestyle monitoring, and athletics. Deep learning models have been extensively employed in developing physical activity recognition systems. To improve these models, their hyperparameters need to be initialized with optimal values.

A new compact and low phase imbalance microstrip coupler for 5G wireless communication systems.

Microstrip couplers play a crucial role in signal processing and transmission in various applications, including RF and wireless communication, radar systems, and satellites. In this work, a novel microstrip 180° coupler is designed, fabricated and measured. The layout configuration of this coupler is completely new and different from the previously reported Rat-race, branch-line and directional couplers.

Investigation of effects of interlayer interaction and biaxial strain on the phonon dispersion and dielectric response of hexagonal boron arsenide.

In this study, the effects of interlayer interaction and biaxial strain on the electronic structure, phonon dispersion and optical properties of monolayer and bilayer BAs are studied, using first-principles calculations within the framework of density functional theory. The interlayer coupling in bilayer BAs causes the splitting of out-of-plane acoustic (ZA) and optical (ZO) mode. For both structures, positive phonon modes across the Brillouin zone have been observed under biaxial tensile strain from 0 to 8%, which indicate their dynamical stability under tensile strain.

Tunability of electronic and thermoelectric properties of hexagonal boron nitride with carbon impurities under magnetic field: Tight binding investigation.

Utilizing the Kubo-Greenwood formula, Tight Binding calculations were employed to examine the electronic and thermoelectric properties of hexagonal boron nitride (h-BN) with carbon impurity instead of boron, nitrogen and pairs boron-nitrogen. The electronic properties of the pristine monolayer BN are markedly impacted by the introduction of carbon dopants and its band gap reduction is directly correlated with the concentration of carbon impurities. The electronic properties of doped h-BN are influenced by the presence of a magnetic field, leading to subband separation and band gap narrowing, independent of the impurity types.

Optimizing thermoelectric performance of carbon-doped h-BN monolayers through tuning carrier concentrations and magnetic field.

The thermoelectric properties of carbon-doped monolayer hexagonal boron nitride (h-BN) are studied using a tight-binding model employing Green function approach and the Kubo formalism. Accurate tight-binding parameters are obtained to achieve excellent fitting with Density Functional Theory results for doped h-BN structures with impurity type and concentration. The influence of carbon doping on the electronic properties, electrical conductivity, and heat capacity of h-BN is studied, especially under an applied magnetic field.

Preparation of pH-sensitive composite polyethersulfone membranes embedded by Ag(I) coordination polymer for the removal of cationic and anionic dyes.

A pH-sensitive polyethersulfone (PES) membrane was prepared with the aid of newly synthesized Ag(I) coordination polymer (Ag(I)-CP) particles. Indicating obvious adsorptive property toward dyes, the Ag(I)-based metalorganic framework (MOF) was selected to be used as an additive to improve the dye selectivity of PES membranes for both cationic and anionic dyes. The performance examination and characterization of prepared membranes indicated the influence of Ag(I)-CP in PES membrane improvement.

In vitro investigation of wound healing performance of PVA/chitosan/silk electrospun mat loaded with deferoxamine and ciprofloxacin.

Electrospinning is an advanced method used for developing wound dressings. Biopolymer-based electrospun mats have been extensively studied in tissue engineering due to their similarity to the extracellular matrix. In this study, electrospun poly(vinyl alcohol)/chitosan/silk fibroin (PChS) mat demonstrated improved mechanical properties, including tensile strength, strain at break, and Young's modulus, compared to electrospun poly(vinyl alcohol) and poly(vinyl alcohol)/chitosan mats.

Efficiency evaluation of biomass in Co(II) uptake from aquatic environments: characteristics, kinetics and optimization of operational variables.

In the present research, the seeds of were extracted from the investigated environment and used for crop cultivation. This study has focused on the efficiency evaluation of biomass (FVB) in cobalt ions removal from aqueous solutions. The biosorbent was characterized using FTIR, BET, EDAX-EDS, and SEM.

Comparison of exergy and exergy economic evaluation of different geothermal cogeneration systems for optimal waste energy recovery.

Since energy sources are limited, any activity aimed at recycling energy waste or facilitating energy conversion systems is invaluable. Against this background, most scientists focus on the integration of energy systems and the coupling of different technologies. In this study, a variety of power systems are investigated for optimal power conversion configurations of geothermal sources.

Simulating and Comparing CO/CH Separation Performance of Membrane-Zeolite Contactors by Cascade Neural Networks.

Separating carbon dioxide (CO) from gaseous streams released into the atmosphere is becoming critical due to its greenhouse effect. Membrane technology is one of the promising technologies for CO capture. SAPO-34 filler was incorporated in polymeric media to synthesize mixed matrix membrane (MMM) and enhance the CO separation performance of this process.

The L. stem biomass as an inexpensive and efficient biosorbent for the adsorptive removal of malachite green from aquatic environments: kinetics, equilibrium and thermodynamic studies.

Plant biomass is one of the available and economic biomaterials used to remove environmental pollutants. The presence of colored compounds in aqueous solutions is one of the problems that can be solved by biological methods. Herein, the efficiency of available and inexpensive biomass obtained from L.