bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainable Bioproduct Production via Anaerobic Bioconversion by Landfill Soil Inoculum in Various Carbohydrate Wastes
Authors: Kacaribu Andriy Anta , Darwin  
Published: June 2024

Abstract
This study evaluates anaerobic bioconversion using landfill-derived microbes to produce volatile fatty acids (VFAs) as bioproducts. The research was conducted using different substrates, including elephant grass, starch waste, and fruit waste. Landfill-derived microbes collected from the landfill site were used as inoculum. The results show that the carbohydrate composition in the substrate affects VFA production. Simpler substrates, such as starch waste and fruit waste, produced more VFAs (approximately 50 mmol · L–1) than that of more complex substrate of grass (approximately 25 mmol · L–1). The results showed that using simpler substrates (i.e. starch and fruit waste) produce VFAs two times higher than that of the complex substrate or lignocellulosic biomass-based feedstock (i.e. grass). These findings provide valuable insights into the potential use of landfill-derived microbes in the anaerobic bioconversion process to produce VFAs. By understanding the influence of carbohydrate composition, we can enhance the efficiency of VFA production from organic waste, which can be used in various industrial applications. This is a crucial step towards more sustainable waste management and more efficient resource utilisation.
Optimisation and Modelling of Soil Pulverisation Index Using Response Surface Methodology for Disk Harrow Under Different Operational Conditions
Authors: Nassir Aqeel J. , Ramadhan Marwan N. , Alwan Ali A. , Muhsin Sadiq J. 
Published: June 2024

Abstract
The study aimed to determine the optimal pulverisation index of soil for disk harrow by modelling. A mathematical model was developed using a Design-Expert software and response surface methodology. Experiments were carried out in silty loamy soil with three different levels of soil moisture content of 9.25%, 17.56%, and 22.32%, operating depths of 10 cm, 15 cm, and 20 cm, and operating speeds of 3.17, 4.85, and 5.47 km·h-1. The quadratic model proposed by the Design-Expert software was statistically significant (P <0.01), with a strong correlation relationship (R
2 = 0.989) between actual and predicted soil pulverisation index values. The adequacy precision achieved at 41.84 showed the models‘ ability to navigate the design space. However, statistical analysis, using the t-test and P-value, showed the actual and predicted values have no significant differences in the pulverisation index of soil. The optimal soil pulverisation index (8.61 mm) was achieved with a desirability of 1.00, at a soil moisture content of 14.43%, an operating depth of 11.64 cm, and a forward speed of 5.30 km·h-1. Model validation confirmed acceptability (R
2 = 0.974) and a 99% accuracy in predicting the soil pulverisation index.
Extension Experts‘ Intentions to use Precision Agricultural Technologies, a Test with the Technology Acceptance Model
Authors: Bagheri Asghar , Tarighi Javad , Emami Naier , Szymanek Mariusz 
Published: June 2024

Abstract
Precision agriculture (PA) is a farm management strategy that relies on various technologies to improve the productivity and sustainability of farming operations. The adoption of PA entails on-farm and off-farm benefits; however, the adoption rates remain low in Iran. Using the socio-psychological framework of the technology acceptance model (TAM), this study examined agricultural extension experts‘ intentions to use precision agricultural technologies (PATs) in Ardabil province, Iran. Structural equation modelling (SEM-PLS) was used to map the components of the TAM (perceived usefulness, perceived ease of use, and attitudes toward PATs). All the components of the TAM showed a significant effect on experts‘ intentions, confirming the importance of socio-psychological variables in predicting agricultural experts‘ decision to apply PATs. Experts perceived PATs as helpful and relatively easy to use. In addition, they had positive attitudes toward PATs and intended to use most PA technologies. The TAM posits that two attitudinal components of perceived usefulness (PU) and perceived ease of use (PEU) determine acceptance and use. PU is the degree to which one believes using technology would enhance job performance, while PEU is the degree to which using technology is free of effort. The results showed that PEU and PU had a positive impact on attitudes. The three constructs positively affected behavioural intention toward the application of PATs and explained 68.8% of the variance of this construct. Due to the novelty of PA in the country, PEU was the most critical determinant of intention.
Identification of Armyworm-Infected Leaves in Corn by Image Processing and Deep Learning
Authors: Saadati Nadia , Pourdarbani Razieh , Sabzi Sajad , Hernandez-Hernandez José Luis 
Published: June 2024

Abstract
Corn is rich in fibre, vitamins, and minerals, and it is a nutritious source of carbohydrates. The area under corn cultivation is very large because, in addition to providing food for humans and animals, it is also used for raw materials for industrial products. Corn cultivation is exposed to the damage of various pests such as armyworm. A regional monitoring of pests is intended to actively track the population of this pest in a specific geography; one of the ways of monitoring is using the image processing technology. Therefore, the aim of this research was to identify healthy and armyworm-infected leaves using image processing and deep neural network in the form of 4 structures named AlexNet, DenseNet, EfficientNet, and GoogleNet. A total of 4500 images, including healthy and infected leaves, were collected. Next, models were trained by train data. Then, test data were evaluated using the evaluation criteria such as accuracy, precision, and F score. Results indicated all the classifiers obtained the precision above 98%, but the EfficientNet-based classifier was more successful in classification with the precision of 100%, accuracy of 99.70%, and F-score of 99.68%.
Evaluation of Service Brake Braking of Selected Group of Vehicles Depending on Wear of Brake System‘s Parts
Authors: Kožuch Peter , Hujo Ľubomír , Kaszkowiak Jerzy , Markiewicz-Patalon Marietta 
Published: June 2024

Abstract
The paper deals with the evaluation of service brake braking of a selected group of vehicles depending on the wear of brake system‘s parts. During the research, the technical condition of brake systems, the degree of wear of brake discs, brake pads, and the measurement of braking forces using a roller brake tester was monitored and evaluated on a sample of 16 intercity buses for a period of three years. The measurement was carried out on 2 selected intercity buses SOR C 10.5 and IVECO Crossway. The maximum braking forces on both axles of buses were measured using a roller brake tester. Then, the percentage braking of the vehicle was calculated and compared with the minimum required braking according to applicable legislation. Based on the inspection of technical condition of brake pads and discs, it was possible to detect the wear and tear of these elements of the brake system (which was manifested during the inspection of the vehicle on the roller brake tester), and it was also possible to record the insufficient value of the required minimum braking during the calculation.
Securing Tomorrow: Synergizing Change Management and Cybersecurity in the Digital Era
Authors: Burton Sharon L. 
Published: June 2024

Abstract
In the rapidly evolving business environment of 2024, organizational change management (OCM) leaders face unprecedented challenges driven by technological advancements, digital transformation, the integration of remote work, and a heightened focus on sustainability. This study examines the efficacy of traditional OCM models in addressing these modern complexities. Through a qualitative methodology employing an extensive literature review, the research identifies vital issues such as resistance to change, digital transformation imperatives, the shift to remote and hybrid work models, and the imperative for sustainable and ethical business practices. The study posits that while classical OCM frameworks offer foundational insights, there is a pressing need for more adaptive, inclusive, and flexible approaches to navigate the nuanced demands of the contemporary and future business landscape. Expected findings suggest the integration of agile methodologies, technology adoption, and a shift towards a culture of continuous change and employee empowerment as critical strategies for effective change management. These insights aim to guide OCM leaders in developing strategies that address the current challenges but also anticipate the dynamics of future organizational change, thus contributing to the broader discourse on evolving OCM practices in a digital and globally interconnected era.
Impact of Economic Factors on the Process of Population Transition from Labour Activity to Pension in the Republic of Moldova
Authors: Savelieva Galina , Zaharov Svetlana 
Published: June 2024

Abstract
The purpose of research is to analyse the impact of population ageing process on labour force market, as well as economic factors on the transition from labour activity to pension in the Republic of Moldova. The change in the structure of labour force to wards elder ages, as well as interruption of active economic activity and retirement is one of the factors in economic growth slowdown, which is conditioned by a reduction of labour force reproduction and its growth. In this situation, in order to mitigate the negative consequences of labour force deficit, it is necessary to take effective measures to increase labour productivity not only to ensure economic growth, but also to ensure the welfare of the country’s population and meet the necessities of an increased share of the population-dependents (both the elderly population and children under 15). Taking into account the relevance of the above-mentioned problem, the analysis of the relationship between economic factors and the transition from labour activity to pension in the conditions of demographic ageing was carried out, including the evaluation of the role of economic factors in making a decision to exit from the labour market to pension. In this context, the comparative quantitative and qualitative analysis of tendencies in the economically active and employed population was carried out, including pre- and pension ages and the phenomenon of precarious employment, the demographic coefficient of dependence on old age, the dependence of pension from the income level, and the financial stability of the Social Insurance Budget. The proposals to improve the effectiveness of government policies in regulation and harmonization the transition from the labour market to pension, including the continuation of active economic activity was elaborated in order to reduce the negative consequences connected with the process of population ageing and to ensure the stability of labour market development. The article is developed in the framework of the research Subprogramme “The demographic transition in the Republic of Moldova: particularities, socioeconomic implications and demographic resilience straightening” (2024-2027).
Forms, Practices and Ramifications of Abusive Supervision in Universities: A Social Justice Scrutiny
Authors: Khumalo Shuti Steph 
Published: June 2024

Abstract
Universities have experienced a phenomenal increase in the incidences of abusive supervision. The practices of abuse in leadership are manifested in different forms and shapes. These unjust and unfair practices are perpetuated in different divisions and sections of the university leadership and are counterproductive. The overarching purpose of this study is to scrutinize the different kinds of abusive supervision practices and their ramifications. This examination takes the form of the extensive and intensive analysis and synthesis of extant and apposite authoritative literature. In addition, to strengthen the scientific rigor and soundness of this examination, I deploy the three-dimensional social justice theory of Nancy Fraser as a framework. This study is significant in that it provides epistemological insights into abusive supervision in universities. The findings confirm scholarly evidence of the prevalence of acts of abuse in various forms such as sexual harassment, exclusionary decision-making practices, designed and strategic isolation of dissenting voices, and selective promotional practices.
Understanding Trends in Green Accounting Studies: A Bibliometrics Analysis
Authors: Octisari Sully Kemala , Artati Dwi , Firmansyah Irman , Mahardhika Arya Samudra , Romandhon  , Susetyo Aris , Yuniarto Arif Sapta , Budianto Roni 
Published: June 2024

AbstractThe concept of sustainable business, which emerges as one of the consequences of environmental degradation, is currently a significant focus for many entities. Having the ability to incorporate business costs with environmental sustainability within an accounting system becomes a distinct advantage for companies. The term for this concept is referred to as "green accounting". This article aims to explore and map research related to Green Accounting using bibliometric methods, covering the observation period from 1976 to 2023. Data were sourced from the Scopus database using keywords "green accounting" and "environment* accounting". The Scopus search yielded a total of 421 articles or documents discussing Green Accounting. The employed method was bibliometric analysis, utilizing R-Studio Biblioshiny and Vos Viewer software. The results of this mapping indicate a progressive increase in publication volume over time, particularly within the last two decades. The majority of publication sources stem from the Social and Environmental Accountability Journal and are predominantly authored by individuals from the United Kingdom and the United States. The primary trending topics in green accounting research revolve around the central theme of environmental accounting, which is presently undergoing evolution and generating several other new topics.
Diversity Innovations to Get More African-Americans Interested and Exposed to Fisheries Biology and Fisheries Management Careers
Authors: Burrell Darrell Norman 
Published: June 2024

Abstract
It is no secret that African-American men in the United States face an array of challenges in the workplace, especially in fisheries. According to recent reports, African-Americans are significantly underrepresented in fisheries. This lack of representation is concerning, particularly when considering the potential benefits that African-American men could bring to fisheries. Promoting diversity and inclusion in the sciences is important for a number of reasons. In order to address this issue, it is essential to develop more applied learning, internships, and experiential learning approaches for African-American men in fisheries careers. This paper will outline the potential value of such approaches for African-American men in fisheries careers.
Design and prototype of a 60 GHz variable gain RF amplifier with 90 nm CMOS for multi-gigabit-rate close proximity point-to-point communications
Authors: Öncü Ahmet 
Published: June 2024

Abstract
This paper presents the implementation of a low-power and variable-gain 60 GHz millimeter-wave CMOS Amplifier designed for short-range multi-gigabit close proximity point-to-point communications. The design uses coplanar wave transmission lines to achieve 50 Ω input and output matching. Realized in a 90 nm CMOS process, the variable-gain VGA exhibits power consumption ranging from 4.7 mW to 39.1 mW, with gains spanning from 5.5 dB to 12.4 dB at 60 GHz and a 3 dB bandwidth exceeding 14.4 GHz. Input and output return losses remain below –10 dB across the gain spectrum. Successful demonstration of gain controllability further validates the circuit’s performance. The compact VGA die, inclusive of pads, has dimensions of 740 μm by 920 μm, thereby occupying a core area of 0.2 mm2. This design demonstrates the potential of low-power, high-performance VGAs in enhancing millimeter-wave communication systems.
Artificial neural network-based method for overhead lines magnetic flux density estimation
Authors: Alihodžić Ajdin , Mujezinović Adnan , Turajlić Emir 
Published: June 2024

Abstract
This paper presents an artificial neural network (ANN) based method for overhead lines magnetic flux density estimation. The considered method enables magnetic flux density estimation for arbitrary configurations and load conditions for single-circuit, multi-circuit, and also overhead lines that share a common corridor. The presented method is based on the ANN model that has been developed using the training dataset that is produced by a specifically designed algorithm. This paper aims to demonstrate a systematic and comprehensive ANN-based method for simple and effective overhead lines magnetic flux density estimation. The presented method is extensively validated by utilizing experimental field measurements as well as the most commonly used calculation method (Biot - Savart law based method). In order to facilitate extensive validation of the considered method, numerous magnetic flux density measurements are conducted in the vicinity of different overhead line configurations. The validation results demonstrate that the used method provides satisfactory results. Thus, it could be reliably used for new overhead lines’ design optimization, as well as for legally prescribed magnetic flux density level evaluation for existing overhead lines.
Scalable codes with locality and availability derived from tessellation via [7, 3, 4] Simplex code graph
Authors: Farkaš Peter 
Published: June 2024

Abstract
A new family of scalable codes with locality and availability for information repair in data storage systems for e-health applications was presented recently. The construction was based on a graph of the [7, 3, 4] Simplex code. In this paper it is shown that the construction can be generalized via tessellation in a Euclidian plane. The codes obtained have new interesting recoverability properties. They can in some cases repair damage to many storage nodes in multiple connected graphs via sequential decoding, which is similar to healing wounds in biological systems. The advantages of the original codes, namely the availability, functionality, efficiency and high data accessibility, will be preserved also in these new codes. The computational complexity and communication costs of their incrementation will remain constant and modest. These codes could be adapted to disaster recovery because it is straightforward to place the nodes so that the graph is easily mapped on a real structure in space.
Mutually coupled dual-stage RC feedback LNA for RF applications
Authors: Kumar Manish , Kalra Dheeraj , Shukla Aasheesh 
Published: June 2024

Abstract
The designed circuit features a dual-stage Low Noise Amplifier (LNA) in which, a common source (CS) configuration is employed to achieve high gain, while the subsequent stage adopts a Complementary Common Gate (CCG) setup provide the low power consumption. This arrangement ensures that both transistors share the same biasing current, promoting energy efficiency. The two stages are interconnected in a cascade configuration, amplifying the overall gain and concurrently mitigating noise. To facilitate wideband matching in the input stage, a parallel RC feedback mechanism is implemented. Additionally, a pair of mutually coupled inductors in the CS and CCG stages contribute to rendering the input impedance exclusively resistive, concurrently minimizing the overall size of the circuit. All simulations were done using 65 nm CMOS technology in Cadence Virtuoso. The proposed LNA showcases a Noise Figure (NF) of 3.2 dB, a Peak Power Gain (S
21) of 19.8 dB, and an input reflection coefficient (S
11) of –16.2 dB, spanning a bandwidth of 3.1-6.2 GHz. Operating on a 1V power supply, the proposed LNA demonstrates power efficiency by consuming only 2.8 mW. The overall performance assessment of the LNA is gauged using the Figure of Merit, yielding an obtained value of 18.2. Comparative analysis with other cutting-edge designs is presented in Table 1.
High-performance MTM inspired two-port MIMO antenna structure for 5G/IoT applications
Authors: Hamdan Samia , Hamad Ehab K. I. , Mohamed Hesham A. , Khaleel Sherif A. 
Published: June 2024

Abstract
This study thoroughly investigates a two-port multiple-input multiple-output (MIMO) antenna system tailored for 5G operation at 28 GHz. The proposed antenna is patched on a Rogers (RT5880) substrate with a relative permittivity of 2.2 and total size of 20×12×0.508 mm3. The mutual relationship between the radiating patches is refined using an H-shaped metamaterial structure to reduce the isolation to –55 dB. A MIMO configuration with attractive features is employed to reduce the envelope correlation coefficient (ECC) to about 0.00062 and the channel capacity loss (CCL) to about 0.006 bits/sec/Hz, while magnify the gain to about 9.39 dBi and the diversity gain (DG) to about 9.995. Additionally, it boasts a compact size with stable radiation pattern. The simulations of the MIMO antenna are executed using CST microwave studio, subsequently validated with Advanced Design System (ADS) for an equivalent circuit model, then measured using Vector Network Analyzer. Discrepancies between measured and simulated results were analyzed, with observed variations attributed to cable losses and manufacturing tolerances. Despite these challenges, a comprehensive comparison with prior research highlights the notable advantages of the proposed design, positioning it as a compelling solution for 5G applications.
Contribution to the determination of the effect of magnetic storms on the electric power transmission system
Authors: Mayer Daniel , Stork Milan 
Published: June 2024

Abstract
When a magnetic storm hits a power transmission system, quasi-stationary geomagnetically induced currents (GIC) are generated in the high-voltage part of the system. These currents cause semi-saturation of the magnetic circuits of power transformers, which induces current overload in their high-voltage windings and subsequently thermal overload, which can lead to system failures. This rather complex phenomenon was described in [11] by a system of nonlinear differential equations and subsequently solved. This very challenging method is replaced in the present work by a simple approach. It allows not only predicting the imminent danger of system collapse, but gives transformer designers valuable information on how they can counteract this danger.
Area and energy optimized Hamming encoder and decoder for nano-communication
Authors: Megha Puttaswamy , Premananda Belegehalli Siddaiah , Kamat Nagavika 
Published: June 2024

Abstract
The Hamming code or Linear block code is used in communication to identify and repair errors. Redundancy bits are introduced to the Hamming communication network (HCN) for error detection and correction. It can detect two errors and correct one error. Quantum-dot Cellular Automata (QCA) is used for designing circuits with high switching speed and low energy dissipation. This work proposes a cost-effective QCA-based (7, 4) Hamming encoder and decoder design. Hamming encoder is designed using coplanar structure and the error detector used in Hamming decoder uses a multilayer structure. The effort is to optimize the area, cost, and energy dissipation. The work proposes a coplanar (7, 4) Hamming encoder and decoder. Hamming decoder is implemented in two parts a syndrome calculator and an error detector. Proposed (7, 4) Hamming encoder circuit reduces cell count by 49.47% compared to [1] and 9.52% compared to [12]. The proposed (7, 4) syndrome calculator has reduced cell count by 56.54%, an 11.11% reduction in total area compared to [1]. The proposed design reduces the cell area, QCA cost, and also energy dissipation. The designs are realized and QCA parameters are assessed in QCADesigner2.0.3 and energy is analyzed in QCADesigner-E.