bluuebunny/crossref_metadata_2025_split huggingface dataset:
ZnO Impregnated Graphene Silica Composite to Enhance Cr(VI) Adsorption: Batch Studies
Authors: Pachiyappan Jayakaran , Pillai Sankari Naveen Prasad Balakrishna , Selvaraju Sivamani 
Published: November 2024

Abstract
Hexavalent chromium [Cr(VI)] is a profoundly poisonous heavy metal due to its significant mobility across cell membranes as HCrO4
− and CrO4
2- ions. There is a limited amount of research on the effectiveness of metal oxide impregnated graphene silica composite (GSC) as adsorbents for treating [Cr(VI)]. However, the existing studies indicate that these composites are very efficient. The project involved synthesizing a new type of adsorbent by impregnating zinc oxide (ZnO) particles onto a composite material of graphene and silica. This was achieved using the co-precipitation method. The findings revealed that the highest level of Cr (VI) removal (97%) is achieved at basic, a contact period of 45 minutes. The Langmuir isotherm had the highest degree of fit, suggesting a uniform and chemical adsorption process with the highest possible adsorption capacity of 142 mg/g. The application of ZnO on GSC improves the motion of Cr(VI) in the composite, resulting in an increase in both the adsorption capacity and adsorption kinetics. The findings of this investigation show that the ZnO/GSC composite is a very effective and versatile adsorbent for treating wastewater, highlighting its new and reusable properties.
Kinetic model for better understanding of the humic acid adsorption behavior onto different carbon/CNT adsorbents
Authors: Zghal S , Jedidi I , Cretin M , Cerneaux S , Abdelmouleh M 
Published: November 2024

Abstract
The aims of the current study is to investigate the effectiveness of adsorption of carbon graphite/carbon nanotube composites (KS44/CNT) in removing humic substances from aqueous solutions. Carbon nanotubes (CNTs) were synthesized within the porous carbon material through an in-situ growth process. The results showed that the adsorption capacity of humic acid (HA) was significantly affected by the presence of CNTs. Furthermore, Chemical oxidation of KS44/CNT has a more pronounced effect on the adsorption behavior of humic acid compared to the graphite carbon composite (KS44/0). The most sensitive sites to interacting with the acidic functionalities of Humic Acid are favored by carbon nanotubes due to their greater tendency to oxidize than graphite structure. The kinetic study, including the pseudo-first order, pseudo-second order and Elovich equations, was carried out to better understand the adsorption mechanism of HA on the elaborated supports. The pseudo-second order kinetic model provided the best match to the equilibrium data derived from the adsorption tests. Based on this model, it can be postulated that the adsorption rate is limited by the rate of adsorbate transport occurring at the pore surface of the adsorbents.
AI Precision for Irrigation, Crop Management, and Pest Control for Sustainable Agriculture in Oman
Authors: Divyajyothi M G , Jopate Rachappa , Abdulrahim Abdulsalam Albalushi Rabia , Abdullah Saleh Al balushi Saleh 
Published: November 2024

Abstract
The integration of artificial intelligence (AI) precision techniques can improve sustainable agriculture practices in Oman. Our research aims to optimize crop management, pest control, and irrigation techniques by utilizing datasets from the Integrated Crop and Agricultural Resource Data System (ICARDS) and the Integrated Digital Framework for Irrigation Practices (IDFIP). The foundation for well-informed decision-making is provided by the extensive data on soil conditions, weather patterns, and past agricultural practices found in the IDFIP and ICARDS datasets. Our methodology uses Python- implemented machine learning models and sophisticated algorithms. The data is analysed by AI-driven models, which provide useful information for targeted pest control, effective crop management, and precision irrigation. Through the practical use of AI approaches, this research advances the field of precision agriculture. The results could greatly increase agricultural output, preserve water supplies, and reduce their negative effects on the environment. The Sultanate of Oman’s agriculture sector faces numerous obstacles, but integrating AI precision technologies offers a viable way to promote sustainable practices and guarantee food security.
Harnessing the Plastic-degrading Potential of Pseudomonas Species for Environmental Sustainability
Authors: Al Balushi Azza , Amara Yosra , Al Balushi Khadija , Eddine Mannai Saif , Saber Rim ben , Saleheddine Masmoudi Ahmed , cherif Ameur , Souissi Yasmine 
Published: November 2024

Abstract
The prevalent utilization of synthetic plastics in contemporary society has made them indispensable. Nonetheless, the enduring predicament of plastic waste presents challenges to environmental sustainability and effective waste management. Plastic pollution can disrupt habitats and natural processes, diminishing the ecosystem’s resilience to climate change and directly impacting the livelihoods, food production capabilities, and social well-being of people. Moreover, plastic recycling itself can rise the production of polluting microplastic that find their way into water sources or air. In to address the environmental predicaments associated with plastics, it is imperative to examine the intricate interplay between microbes and polymers. Understanding this dynamic relationship is important as we strive to develop effective solutions and mitigate the adverse effects of plastic on our environment. Bacteria evolved strategies to survive and degrade plastics in contaminated environments. In this study, we focused on the ability of Pseudomonas species to degrade different sets of synthetic plastics including Low-Density polyethylene (LDPE), High-density polyethylene (HDPE), polyvinyl and polystyrene. Then a simulation study using kinetic models was conducted to determine optimum parameters for degradation ability. Our results indicate four different Pseudomonas strains P. aeruginosa strains, P. boreopolis and P. dehiensis two strains of which were able to grow in minimum media containing the different plastics as the only carbon sources reflecting their capacities to degrade these complexes polymers. Kinetic modeling for microbial growth of P. aeruginosa using batch and feed batch demonstrated that the feed batch fermentation procedure has the potential to produce Pseudomonas biomass on a larger scale, with a production of 250.7481 g/l after 72 hours. These results enhance their applicability in industrial settings particularly in bioremediation field. These findings highlight the important uses of bacterial strain of Pseudomonas as a promising strategy to depolymerize complex plastics into monomers for recycling or mineralize them into new biodegradable biomass.
Towards Zero-Waste Biodiesel Production: Purification of Methanol Recovery
Authors: Al Balushi Maryam 
Published: November 2024

Abstract
The depletion of crude oil sources, along with a rising awareness of the adverse environmental impacts of utilizing fossil fuels, prompted the growth of alternate strategies for converting waste biomass into biofuels. Wakud is a biodiesel production plant in Oman using waste cooking oil to turn it into biodiesel. The process generates excessive amount of methanol, the purpose of this study is to enhance methanol recovery purity. The experimental study was conducted using 3A molecular sieves for methanol dewatering process. In addition to a simulation study that was conducted using ASPEN PLUS software, one distillation column is used to obtain high purity methanol. The results of the experimental study showed 98% pure methanol is achieved. However, the distillation column purified methanol recovery by 99% and the biodiesel obtained by 96%. Both studies proved that these methods would effectively reduce water content in methanol.
Fabrication and Characterization of Graphene Oxide – Cadmium Sulphide Nanocomposite Coating for Corrosion Inhibition of Mild Steel Specimen
Authors: Ali Al Zakwani Nadra , Devi Geetha , Al Khanbusi Bakhit , Al Ruqaishi Jaber , Al Mahrouqi Abdullah , Al Jahdami Maroa 
Published: November 2024

Abstract
The oil and gas sector play a significant role in the Sultanate of Oman’s economic growth and contribute major revenue. Corrosion is a global concern and that strongly affects the industrial sectors. The corrosion problems in oil pipelines would be successfully resolved by means of novel control techniques. This research focused on the fabrication of Graphene oxide (GO) - Cadmium sulphide (CdS) nanocomposite for controlling corrosion in mild steel specimen. Graphene oxide was synthesized from Alovera extract by carbonization process. GO - CdS nanocomposite was prepared and deposited on a mild steel pipe by self-assembly technique. The coated material was used for stability studies at varying pH conditions and exposure period followed by corrosion studies. The testing methods adopted are Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), Energy Dispersive X-Ray analysis (EDX), and Fourier Transform Infrared Spectroscopy (FTIR). Wet/Dry test and Atmosphere tests were conducted to examine the performance of coating material towards corrosion. The atomic force microscope (AFM) operated in non-contact mode was used to study surface topology of the coated specimen. From the outcome of the corrosion studies, it was established that the GO- CdS Nano composites thin film acted as an ecofriendly corrosion inhibitor to enhance the lifespan of the mild steel pipe. This novel research is aligned with the United Nations Sustainability Goals (UNSD - 9: Industry, Innovation and Infrastructure & UNSDG 12 – Responsible consumption and production) and Oman vision 2040. The results from the study validates that the GO - CdS thin films coated on mild steel pipe could be a viable solution to corrosion issues in oil pipelines owing to their good film stability, minimum film thickness, high durability, and ecofriendly approach.
Design and Fabrication of an Electrical Sheet by Waste Wood Fibre Reinforced Functionalized Polypropylene Composite
Authors: Chauhan Nikhil , Palsule Sanjay 
Published: November 2024

Abstract
Utilizing natural resources is essential for sustainable development and circular economy. Polymeric composites reinforced with natural fibers are now being used to design commodity, commercial and engineering products. This study develops eco-friendlier composites of waste wood fibre (WWF) reinforced maleic anhydride functionalized (MAF) polypropylene (PP) composite (WWF/MAF-PP) by the Palsule process by extrusion followedby manufacturing by injection moulding. An electric bulb / electrical round sheet has been designed and fabricated using WWF/MAF-PP composites by injection moulding as a replacement for the existing commercial plastic sheet.
Novel approach for strengthening of column by external wrapping with Carbon Fiber and Internally Embedded Damper System for resilient infrastructure
Authors: Hiremath Murughendra , Roopa A.K , Hunashyal A. M. , Kallur Gourish 
Published: November 2024

Abstract
Columns as major structural components, lose strength due to sudden and accidental impacts. Such impacted columns can be restored by retrofitting, which increases their load-carrying capacity and lifespan, rather than reconstructing them. The common method of retrofitting involves externally wrapping the columns with fibre sheets. Numerous research studies have been conducted on enhancing the load-carrying capacity of a column by jacketing it with Fiber Reinforced Polymer (FRP). However, there is a lack of research on retrofitting columns internally to overcome vibrations produced due to impact loading. This paper addresses the retrofitting of a column both internally and externally. The external retrofitting is done by CFRP jacketing, and the internal retrofitting is achieved by developing a damper system to overcome damping forces. The experimental work aims to compare the load-carrying capacity of columns retrofitted internally with dampers and externally with CFRP jackets, with a plain concrete column. Dampers are evaluated based on energy absorption in comparison to plain cement mortar. It was found that energy absorption increased by 50% when the concrete was reinforced with 1mm chopped carbon fibers. Such reinforced concrete behaved as dampers, when placed inside the column to absorb the impact energy leading to a 9% increase in load-carrying capacity. The maximum load-carrying capacity was observed in columns wrapped with CFRP and damped with dampers, showing an increase of 25%. Finite Element Analysis is carried out to compare the experimental results and evaluate the damping property. Retrofitting a new column can enhance its initial load-carrying capacity, this helps in reducing the cross-section and percentage of steel usage in columns, contributing to sustainability. Retrofitting approaches to achieve 9th, 12th, and 13th sustainable goals, this leads to a significant contribution in the construction sector.
Accelerating Linear Congruential Generators with Carbon Nanotube Field-Effect Transistors
Authors: Yogapriya B , Sahithi P , Mathan N , Muthiah M A , Ravi T 
Published: November 2024

Abstract
In the era of technological advancements, safeguarding information privacy has become paramount across sectors like defense, finance, healthcare, and more. At the heart of these security measures lies cryptography, a field that necessitates the efficient processing and secure storage of data. Our project focuses on the optimization of Linear Congruential Generators (LCG), pivotal for cryptographic applications and pseudorandom number generation. Here it has been pioneered the implementation of LCG using Carbon Nanotube Field-Effect Transistor (CNTFET) technology, targeting the reduction of leakage power through the innovative application of sleep techniques. This advanced approach not only embodies a leap towards minimizing energy consumption but also enhances the overall performance and reliability of cryptographic systems. By integrating sleep modes into the CNTFET-based LCG design, our methodology significantly curtails leakage power without compromising the generator’s efficiency or output quality. The successful implementation and synthesis of this design, employing cutting-edge CNTFET technology, underscore the potential for substantial improvements in power efficiency while maintaining high standards of security and randomness essential for cryptographic algorithms.
Design of 8T DTMOS Schmitt Trigger SRAM Cell for IOT Applications
Authors: Pandey Neeta , Singh Mann Aditya , Setia Abhay 
Published: November 2024

Abstract
Internet of things (IoT) based systems require power-efficient circuits to raise the battery lifeline. This study presents a single-ended 8T SRAM cell. The core of the proposed 8T SRAM cell is composed of a Schmitt-Trigger circuit which a dynamic body bias technique is applied to a standard CMOS inverter through a feedback mechanism, whereby the threshold voltages of two MOSFETs can be changed, thus changing the switching voltage. Read operation of the proposed cell is conducted using the shared footer per word transistor. The write path is cut-off during the read operation, improving RSNM. A transmission gate placed in the cell core is used to cut the feedback path during write operation. To prove superiority of the proposed cell it is compared with four state-of-the-art SRAM cells under identical conditions on Cadence Virtuoso using 45nm technology at VDD=0.8 V. The proposed circuit shows a 135.74 % improvement in terms of RSNM and a 44.04 % improvement in terms of peak-to-peak power compared to the 6T DTMOS Cell.
Compressive strength study of fibre reinforced concrete
Authors: Bhavani Sai Kumar Y V , Padmapriya R 
Published: November 2024

Abstract
Materials play a vital role in the development of human life. Environmental and sustainable development concerns have seriously affected the development and applications of materials. Due to the advancement of rapid growth, it leads to the utilization of more materials, which leads to the depletion of natural materials. So, this leads the researchers to focus on the materials that have less impact on the environment. This study focuses on the compressive strength-based study of M30-grade fiber-reinforced concrete, partially replacing cement with flyash, fine aggregate with cocopeat, and adding coir fiber as a fiber. In recent times, there has been a tremendous increase in the usage of several natural fibers because of their low cost, ease of processing, and environmental friendliness. Due to their availability and eco friendliness, they are used in the development of fiber-reinforced concrete to improve its strength. The experiment entails casting and curing of different concrete mixtures for 3, 7, and 28 days with varying percentages of coconut fiber and cocopeat, 30% replacement of cement with flyash, and performing compressive strength tests in accordance with IS standards. Test results show adding 1% of coir fiber attains more strength in comparison with normal concrete and concrete with partial replacement of cement with fly ash and fine aggregate with cocopeat.
Absorption and emission maxima prediction of fluorescent organic materials using optimized neural network models
Authors: Dev Mahato Kapil 
Published: November 2024

Abstract
The aim of the study is to predict the absorption and emission maxima from the given dataset, which consists of 3066 fluorescent organic materials. To fulfill this requirement, five optimized neural network models are employed. Out of them, the wide neural network (WNN) model outperformed the other models on validation as well as test results. The results were obtained on the basis of three evaluation parameters: mean absolute error (MAE), root mean squared error (RMSE), and the coefficient of determination (R2). According to the validation scores, the WNN was the best-predictive model with MAE-18.05 nm, RMSE-28.93 nm, and R2-89.55%, and MAE-29.58 nm, RMSE-42.62 nm, and R2-78.87% for absorption and emission maxima, respectively. On the other hand, on the basis of tested scores, the WNN was the best-predictive model with MAE-19.35 nm, RMSE-29.33 nm, and R2-92.14%, and MAE-29.17 nm, RMSE-41.87 nm, and R2-79.46% for absorption and emission maxima, respectively. The presented automated method does not require an extensive understanding of computer programming to estimate the absorption and emission maxima. The absorption and emission maxima may be predicted, which helps with the design of new fluorescent organic materials and their many uses in electronics, chemistry, materials science, medicine, and other areas.
Effect of Fibre Reinforcement on Compressive Strength and Compressive Modulus of Epoxy Granite
Authors: Ubale Deepak D , Shah Abhijeet P 
Published: November 2024

Abstract
The main focus of the paper is to study the effect of fibre reinforcement on compressive strength and compressive modulus of epoxy granite. To investigate the effect of fibre reinforcement, two compositions were considered likes 20% Epoxy and 80% Granite without fibre reinforcement and 20% Epoxy, 75% Granite and 5% fibre reinforcement. Based on the literature studied, three types of fibre were considered viz. steel fibre, carbon fibre and basalt fibre. Three specimens of each type of fibre i.e. nine specimens and three specimens without fibre reinforcement were prepared. The obtained maximum compressive strength and compressive modulus of epoxy granite without reinforcement is 91.70 MPa and 3.5 GPa for the composition of 20% epoxy and 80% granite. The observed maximum compressive strength of 78.57 MPa for 20% epoxy and 75% granite with 5% carbon fibre reinforcement epoxy granite (CFEG) which is much higher than steel fibre reinforced epoxy granite (SFEG) with 20% epoxy and 75% granite and basalt fibre reinforced epoxy granite (BFEG) with 20% epoxy and 75% granite. The computed compressive modulus is 2.7 GPa for SFEG with 5% fibre which greater than CFEG and BFEG with the same fibre content.
Feedback control for plants with time delay
Authors: Perev Kamen 
Published: November 2024

Abstract
The paper considers the problem of feedback control design for plants with time delay. The role of the feedback is presented showing its ability to restrict the uncertainty in the plant model. The conditional feedback control structure is introduced and its properties for restricting model uncertainty are discussed. The presence of local feedback makes the conditional feedback structure pertinent for its usage when the plant contains a time delay element. The time delay model is replaced by its Pade series approximation. The key idea is to consider the time delay model as perturbation around its Pade series approximation. This fact allows utilizing the rational function expression in the procedure of controller design, thus avoiding using the irrational function of the time delay for this purpose. It is shown that the conditional feedback control structure gives an alternative than the Smith predictor method for controller design of plants with time delay e
−θs
in their structure. The efficiency of the presented method is demonstrated by a numerical example.
Gathering information for the external parameters of Permanent Magnet Synchronous Motor using Hall sensors and applying linear interpolation
Authors: Hristov Kamen 
Published: November 2024

Abstract
This paper presents review of a method for receiving information for the rotational speed using the signal gathered from Hall sensors. They are widely used, because of their high performance in the whole operating range. There are shown models and substructures developments and simulation results in Matlab/Simulink.
Electric field in a conductive medium – modelling and application
Authors: Iatcheva Ilona , Darzhanova Denitsa , Petkova Nikolina 
Published: November 2024

Abstract
The paper presents some specific features of an electric field in a conductive medium, a theoretical base for numerical field modelling using the finite element method and its application in simulation of the processes in real electromagnetic systems. Application examples are presented, concerning simulations of the processes, taking part in contact resistance welding and insulation in the presence of conductive inclusions.
Discrete Analysis of Electrical Circuit with Sources of Rectangular Pulses
Authors: Georgiev Zhivko , Trushev Ivan , Chervenkov Atanas 
Published: November 2024

Abstract
Discrete transients and stationary process are described in series RC-circuits when the supplied voltage contains periodic rectangular pulses. The analysis is performed using z - transformation to obtain analytical dependencies for the capacitive voltage in any time of the rectangular pulses. The approach is used for discrete analysis of various circuits in which rectangular pulses have different characteristics. The calculated capacitive voltages by the obtained discrete dependencies are identical, compared to the results obtained by SPICE simulation. The method proposed in the present work allows, together with the transient process, to investigate the corresponding stationary process. Cases of stable and unstable transients are shown.