Reviewerly/exHarmony huggingface dataset:
Generation of Anisotropic Cloud Cover

This paper introduces an advanced mathematical model for generating and analyzing cloud cover images, specifically designed to enhance photovoltaic (PV) partial shading studies. The model development involved a detailed analysis of real cloud cover images, with a particular emphasis on capturing their anisotropic spectral characteristics. This was achieved through a combination of spectral analysis and advanced image processing techniques. The research methodologically focused on developing a four-parameter model to accurately represent cloud formations' spectral properties. Key parameters were identified and fine-tuned to match the real cloud formations' characteristics. This involved analyzing the magnitude and phase spectra of the cloud covers and fitting them to a model capable of replicating these properties accurately. A significant part of the research was dedicated to formulating a novel phase spectrum generation technique. This technique was specifically designed to control the degree of similarity between the synthesized and original images, thereby ensuring the model's effectiveness in various simulation scenarios. The process involved manipulating the phase information of cloud cover images while maintaining their high-frequency components to enhance the detail and realism of the synthesized images. The model's accuracy in replicating cloud cover features was tested against traditional spectral synthesis methods. This comparative analysis involved generating cloud cover images using the developed model and established methods, then comparing these images to the original cloud covers in terms of visual similarity and approximation error. Additionally, the model was utilized to generate pseudo-random cloud cover images by varying the phase spectrum parameters. This process ensured that the generated images, while being random, adhered to the spectral characteristics of the original cloud covers. The research methodology also involved a detailed examination of the images' key characteristics, such as direction, length, and density, to ensure fidelity to the original samples. In summary, this paper details an approach to cloud cover image synthesis, with a focus on the accuracy of spectral properties and the development of an algorithm of model parameters estimation. The research highlights the use of advanced spectral analysis and image processing techniques in deriving key model parameters, leading to a significant advancement in cloud imaging for solar energy applications.
Robotics, Automation, and the Future of Sports

This chapter explores the growing influence of robotics and automation on sports and potential resultant future states. In this chapter, Siegel and Morris describe advances leading to broader deployment of robotics and automation and envision how these technologies may lead to new models for spectator experience by increasing engagement and interactivity. Next, they consider how robotics and automation create opportunities for improved athlete training and detail how robotics and automation have augmented sports by allowing new athletes to compete, creating new sports, and providing a playing field for intellectual athletes. Finally, they envision possible future evolutions of sports leveraging robotic advances and present a case study on how robotics might impact motorsport, closing by considering potential non-technical challenges and risks in inviting robots into sport.
Collaborative network activity as a form of independent work of future technology teachers

Introduction . In accordance with the need to develop students’ ability and readiness for continuous self-education and self-development throughout their lives, the importance of students’ independent work increases significantly. In the context of the digital transformation of education, one of the main forms of independent work should be joint network activities of students, during which network educational communities are formed. The purpose of the article is to consider the possibilities of organizing joint network activities of future technology teachers as part of independent work in disciplines, practices, as well as in extracurricular activities; analyze the didactic potential of the online educational communities of students that are being formed. Materials and Methods . When writing the article, methods of analysis of domestic and foreign literature, comparative analysis, generalization and systematization, and pedagogical experiment were used. Results . Today, when improving the qualifications of teaching staff, the model of “horizontal training”, when training is carried out within professional communities, is quite actively used. This model can also be effective for communities of future teachers. Digital tools for organizing joint network activities within disciplines and practices are presented when organizing independent work for students at Minin University. Special attention is paid to the organization of joint network activities within the framework of the communicative and digital module of the Core of Higher Pedagogical Education. The greatest effect from joint network activities of future teachers can be obtained through project activities. Examples of network projects of teachers and students of Minin University are given, within the framework of which project and network communities are formed. Discussion and Conclusions . Properly organized independent work in the digital educational environment of the university, the use of modern digital tools for this significantly improves the quality of professional training of specialists. Joint network activities make it possible to organize mutual learning within the emerging educational student community. At the same time, conditions are created for the formation of team building skills, universal and professional competencies, ICT competence of future technology teachers, self-assessment and mutual assessment skills.
Provenance of Coastal and Seabed Sediments Relative to Mining and Processing Wastes: The Case of Lavrion, Attiki Peninsula, Greece

A detailed textural, mineralogical, and geochemical investigation of beach sands and seabed sediments from Thorikos and Oxygono bays of the eastern coast of Lavrion is performed, with the objective the provenance of the ore types exploited, the processing and beneficiation types employed, and the respective exploitation periods. The Oxygono Bay beach and seabed sands are highly heterogeneous, predominated by lithic clasts originating from surrounding lithologies. Examination of the fine-grained fraction from the seabed core revealed that only the upper 50 cm was affected by recent and ancient mining activity. Combining the mineralogy and geochemistry of Oxygono Bay sands with the radiochronological model of Pappa et al. (2018), four periods of recent exploitation (mid-19th—late 20th century) are distinguished: (1) The “1860–1875 A.D.”, involving exploitation of the ancient smelter slags, (2) the “1875–1900 A.D.”, with ongoing ancient smelter slag processing and the commencement of underground sulfide ore exploitation, (3) the “1900–1930 A.D.”, where heavy mining of the carbonate-hosted Pb–Zn–Ag ore occurs, (4) the “1930–1980”), where the implementation of flotation-type processing assisted in the exploitation of the poor skarn and porphyry-type ores. The latest “1980 A.D.—to date” period depicts the cessation of all mining and processing activities. The southern Thorikos Bay beach sands are homogeneous and fine-grained, are mainly composed of gangue and pyrite, and show elevated Fe, As, Pb, Zn, and Mn content. The southern Thorikos Bay beach sands clearly point to exploitation and processing by flotation of the carbonate-hosted Pb–Zn–Ag sulfide ore, and the tailings were disposed of from the nearby facilities to southern Thorikos Bay without any environmental concern during the “1930–1980 A.D.” period.
Development of Wireless Smart Current Sensor for Power Monitoring System

The traditional distribution network must be replaced by a smart grid, durable, and dependable, due to the rising demand for power by the customer. The smart grid will need a smart monitoring system based on the smart current sensor at all buildings to determine the power consumption with its costs. This paper proposed a wireless monitoring system for measuring the three-phase currents in the building by using three HW-666 current sensors with Arduino and ESP32 microcontrollers to transmit the data according to the Internet of Things (IoT) technique to the Telegram app on the mobile phone. The power consumption is determined by assuming the constant voltages and power factor at the building that is tested with this monitoring system. The results are scheduled on the personal computer (PC) by using the serial monitor of the Arduino software and also by receiving the message every 20 minutes on the telegram app furthermore, real-time data can be obtained immediately upon receiving transmitted commands from the Telegram application. In addition, this monitoring system is designed to cut off power to the building and sound an alarm if abnormal currents are detected. The proposed monitoring system is given the same results when a comparison with the ammeter with errors not exceeding 10%.
Research activities of students at in Ukrainian language lessons

The article reveals the concept of «research activity», analyzes the research activity of students in Ukrainian language classes, aimed at integrating learning and scientific research, solving new problems for those seeking education, and implementing set theoretical and practical tasks. The main principles of research activity are defined, including accessibility, consciousness, naturalness, self-activity. The methods and techniques of organizing research activity are outlined, which contribute to the formation of analytical abilities in students, the ability to compare, classify and summarize information. The essence of the research method is defined, іt was found that a number of skills are developed thanks to research activities: analytical and synthetic (the ability to analyze, synthesize information, highlight the main, essential, describe phenomena or processes); information (skills for working with sources, technical means of information, bibliographic search); creative (ability to generate ideas, create one's own algorithm for solving tasks, transfer acquired knowledge and skills to new problem situations); communicative (creating written and oral statements, dialogue with others, defending one's point of view in the form of message). Exercises and research tasks from the Ukrainian language are proposed, which can be used in the process of forming the research skills of students of education. It has been proven that the use of elements of problem-based, search and research methods makes learning the Ukrainian language more productive, and the development of students' research skills contributes to the activation of their cognitive interest and motivation to study.
Control of time-delay interconnected nonlinear systems under input saturations: a broad learning system-based approach

In this paper, the adaptive control problem is investigated for a class of interconnected nonlinear systems (INS) with unknown interconnection delays and input saturations. For state unmeasurable problem, a full dimension state observer (SO) is designed to estimate the inaccessible state variables. Broad learning system (BLS), a novel nonlinear approximation technique, is introduced in this study to identify the unknown dynamics and could achieve better approximation performance. An adaptive distributed control (DC) scheme is proposed for the uncertain time-delay INS without input saturation, which guarantees that the stability of the closed loop INS. On this basis, the input saturation problem is further considered, an online approximation smooth function is added into the distributed adaptive tracking controller, such that the closed-loop INS have the anti-input saturation capability. In terms of Lyapunov theory, all the signals in the closed-loop uncertain time-delay INS with input saturation are proved to be uniformly ultimately bounded (UUB) and the tracking errors could converge to a small neighbourhood of zero. Finally, one simulation example performed on two parallel inverted pendulum cars demonstrates the superiority of the developed distributed control scheme.
Co-regularized Facial Age Estimation with Graph-Causal Learning

In this paper, we present a graph-causal regularization (GCR) for robust facial age estimation. Existing label facial age estimation methods often suffer from overfitting and overconfidence issues due to limited data and domain bias. To address these challenges and leveraging the chronological correlation of age labels, we propose a dynamic graph learning method that enforces causal regularization to discover an attentive feature space while preserving age label dependencies. To mitigate domain bias and enhance aging details, our approach incorporates counterfactual attention and bilateral pooling fusion techniques. Consequently, the proposed GCR achieves reliable feature learning and accurate ordinal decision-making within a globally-tuned framework. Extensive experiments under widely-used protocols demonstrate the superior performance of GCR compared to state-of-the-art approaches.
A survey on sparrow search algorithms and their applications

The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm that has made some significant advances since its introduction in 2020. A detailed overview of the basic SSA and several SSA-based variants is presented in this paper. To be specific, first, the principle of the basic SSA is introduced including its search mechanism and implementation process. Second, many improved SSAs are reviewed including the hybrid, chaotic, adaptive, binary and multi-objective SSAs. In addition, the applications of the SSAs are presented in some real scenarios such as the machine learning areas, energy systems, path planning and image processing. Finally, further research directions of the SSAs are discussed. This survey paper aims to provide a timely review on the latest developments of the SSAs.
Quantum super-resolution with balanced homodyne detection in low-earth-orbit

Abstract Quantum super-resolution involves resolving two sources below the Rayleigh limit using quantum optics. Such a technique would allow high-precision inter-satellite positioning and tracking on communication and navigation constellations. Due to the size, weight and power constraints typical of low-earth-orbit (LEO) satellites, a simple solution is often preferred. Here, we show that a balanced homodyne detection (BHD) setup using a shaped single-mode local oscillator can achieve super-resolution despite typical photonic losses. We further analyze the impact of a fluctuating and fixed centroid misalignment due to satellite pointing issues, and find that fixed misalignment is comparatively more detrimental to the performance of a BHD setup. Thus, our study provides a practical assessment of BHD to achieve super-resolution on a modern LEO satellite platform. Finally, we discuss how our analysis can be extended to stellar sources for astronomical applications.
Strategic Behaviours In Municipal Decision-Making: A Strategic Approach

Purpose: The present study explores an effective strategy implementation in the municipality of Saudi Arabia. The study also recognizes the mediating effect of planning success in the study. Design/Methodology/ Approach: The researchers conducted the study using quantitative methods, which applied the survey questionnaire to get responses from management-level employees working in the municipality Eastern Province Region of Saudi Arabia. Finally, the analysis utilized 274 samples to conclude it. Findings: Using SEM through AMOS, the study's outcomes significantly affect strategic behaviours, resource allocation, institutional policies and planning success in an effective strategy implementation. Moreover, the planning success factor mediates the association between strategic behaviour, resource allocation and effective strategy implementation. On the other hand, planning success negatively mediates the association between institutional policies and effective strategy implementation. Research, practical and social implications: The study findings would support cultivating a culture of flexibility and prioritizing collaborative approaches for effective strategy implementation. The results also help efficiently allocate critical resources, prioritize strategic investments, and maintain flexibility in resource reallocation to align with evolving strategic goals. Finally, it guides the development of policies with practical strategies, encourages calculated risk-taking, and establishes robust monitoring mechanisms with transparent communication to ensure successful strategy implementation. Originality/ value: This study fills the gaps in the empirical assessment among Saudi municipalities.
Image Manipulation Detection Based on Ringed Residual Edge Artifact Enhancement and Multiple Attention Mechanisms

As image editing techniques continue to evolve, concerns over the security risks associated with forged images are growing. Previous studies have suggested that tampering traces hidden at the edges of images are crucial for detecting manipulated regions. To better cope with image tampering post-processing methods, we propose REM-U2-Net, a U-shaped network designed to detect and localize image tampering traces by enhancing edge artifacts. REM-U2-Net extracts the noise distribution of an image by combining it with RGB features as input to capture subtle manipulation traces that may not be visible in the RGB domain. Additionally, ringed residual edge artifact boosting and symmetric attention module designs enable the model to detect both manipulated edges and regions, making it more effective in coping with a wide range of manipulation attacks. We conducted extensive experiments on multiple datasets and demonstrated the effectiveness of our method. Furthermore, REM-U2-Net exhibits excellent robustness to various post-processing methods.
An Impact of Digital Technology in Sustainable Business Development

Objectives: In this paper, our primary objectives are to examine and understand the multifaceted impact of digital technology on sustainable business development. We aim to identify key areas where digital technology plays a crucial role, including resource efficiency, innovation, supply chain management, and stakeholder engagement. By delineating these objectives, we seek to provide a comprehensive analysis of how businesses can leverage digital technology for sustainable growth in the rapidly evolving business landscape.&#x0D; &#x0D; Methods: To achieve our objectives, we employ a methodological approach that involves an extensive review of existing literature, case studies, and real-world examples. We delve into various aspects of digital technology adoption in businesses, examining the strategies employed and the outcomes achieved. Additionally, we analyze the implications of digital technology on resource efficiency, innovation processes, supply chain dynamics, and the engagement of diverse stakeholders. Our methods aim to synthesize a holistic understanding of the ways in which businesses integrate digital technology to foster sustainability.&#x0D; &#x0D; Results: The results section presents our findings on the impact of digital technology in the realm of sustainable business development. We showcase specific examples and case studies that illustrate successful applications of digital tools in enhancing resource efficiency, driving innovation, optimizing supply chain processes, and fostering meaningful stakeholder engagement. Through a systematic presentation of results, we aim to provide a clear picture of the tangible benefits and transformative effects that businesses can realize by embracing digital technology in the pursuit of sustainability.&#x0D; &#x0D; Conclusion: In conclusion, our study underscores the pivotal role of digital technology as a driving force behind sustainable business development. The integration of digital tools not only streamlines operations but also contributes significantly to resource efficiency, innovation, supply chain optimization, and stakeholder engagement. As businesses navigate the rapidly evolving business landscape, understanding and harnessing the power of digital technology is essential for achieving long-term sustainability goals. This paper concludes by summarizing key insights and emphasizing the importance of continued exploration and adoption of digital technology for sustainable business practices.
Impact of Leadership Style on Employees’ Motivation: The Contribution of Psychological Capital and Employees’ Engagement

Purpose: Developing employee motivation has excellent significance in attaining organizational success with massive performance. The present study explores the impact of transformational leadership style (TLS) on employees’ motivation (EM) directly and through psychological capital (PC) and employee’ engagement (EE). Design/Methodology/ Approach: Through the questionnaire, the researchers targeted the employees of King Saud bin Abdulaziz University for Health Sciences (KSAU-HS) in Al-Ahsa. Consequently, the researchers used 242 samples to infer the results. Findings: Through path analysis using analysis of moment structures (AMOS) version 26.0, the outcomes suggested a positive effect of TLS on PC and EM. On the other hand, the impact of TLS on EE is negative. Moreover, the PC and EE factors appeared as positive predictors of EM. With regard to mediation, the study found a positive contribution of PC and EE in developing the association between TLS and EM. Research, practical and social implications: The study's findings offer practical guidance for organizational leaders by highlighting the importance of adopting effective leadership styles that nurture PC and enhance EE by providing actionable strategies to improve workplace dynamics. Moreover, the findings would enhance organizational performance by emphasizing the pivotal role of leadership in shaping employee motivation and engagement. Originality/ value: This study empirically addresses the gaps in the integrated framework, meaningfully confirmed among King Saud bin Abdulaziz University for Health Sciences (KSAU-HS) employees in Al-Ahsa.
Identifying Factors Influencing Employee Turnover Rate (A Case Study in Private Schools and Institutions, Alahsa)

Purpose: In the present organizational scenario, retaining talented employees becomes a significant motive for every organization. The present study explores the factors that affect employee turnover intention among employees of private schools in Al AHSA. Design/Methodology/ Approach: The researchers applied quantitative methods to assess the proposed aim of the study. Using cross-sectional data, the study concluded based on 322 samples. Findings: The study demonstrates a negative effect of training and development, job satisfaction and promotion on employees’ turnover intention. Moreover, the impact of job insecurity is positive on employees’ turnover intention. Research, practical and social implications: The study's findings support policymakers and planners in controlling turnover intention by providing practical financial benefits and developing their minds towards staying in the organizations through training and development, satisfaction and secure careers. Originality/ value: This study overcomes the gaps in the empirical investigation of the factors that affect turnover intention among the private schools of Al AHSA, Saudi Arabia.