This study presents an integrated approach to Real Estate Investment Trust (REIT) portfolio optimization using Genetic Algorithms (GA) and Machine Learning (ML), emphasizing reproducibility, risk analysis, and theoretical grounding. The proposed framework combines a GA-driven alpha search mechanism with advanced ML models−Multiple Linear Regression (MLR), Neural Networks (NN), and Long Short-Term Memory (LSTM)−trained on 23 technical and fundamental features. Improvements over traditional models (ARIMA, GARCH) are demonstrated through robust benchmarking, including transaction cost analysis and COVID-19 drawdown performance. Notably, GA yields a Sharpe ratio of 9.72, while NN achieves a Sharpe of 3.50. This study aligns with modern portfolio theory and addresses behavioral market responses, offering a data-driven yet interpretable foundation for REIT portfolio strategies.

In response to the evolving landscape of commercial electric vehicles (EVs), we are pioneering the integration of a Power Take-Off (PTO) design and assembly on the e-axle of Commercial Vehicles (CVs). This innovative concept addresses the significant challenges faced by commercial EV manufacturers “The need for auxiliary hydraulic operations ..

Purpose: This study investigated whether handwritten characters differ between letter tracing on a handwriting training system developed by the authors and letter tracing training on a paper. This study is registered in the UMIN Clinical Trials Registry (Trial registration number: UMIN000055578). Materials and methods: This study developed a training system in which patients traced lines and figures carved onto a board. A training board and a paper sheet with similar lines and shapes were prepared. In total, 62 randomly selected participants traced lines and shapes with their nondominant hand for 10 min daily for 2 weeks. Subsequently, an optical character recognition software (Yonn de CoCo! Personal v.4) was used to evaluate the shape of the characters. The writing pressure was assessed using Trace Coder, and the fixation numbers were assessed using SMI BeGaze (SensoMotoric Instruments). Results: The number of fixations decreased, whereas the change in writing pressure per unit time increased after intervention. The character shapes did not change after training on paper. However, the character shapes improved, and the average writing pressure increased after practicing on a board. Conclusions: Tracing lines and shapes carved on a board can effectively improve handwriting with the nondominant hand

A photovoltaic irrigation system, an excellent example of the water-energy-food nexus, is a suitable system for farmers in the semi-arid countries of the Sahel. These systems align with UN Sustainable Development Goals (SDGs), addressing food security, water access, and sustainable energy. However, their efficiency depends on mastering configuration, installation, and operation, crucial for resource conservation and optimal performance. This study evaluates a direct-coupled PVWPS in rural Niger found the PV array was oversized by double. Indeed, exceeding pump manufacturers' specifications by increasing PV array capacity didn't notably improve performance but decreased pump efficiency. For instance, with a 1.5 kWp PV array, the pump flow rate reached 3.5 m3/h. Doubling (100% increase) the PV capacity to 3 kWp marginally increased the maximum flow rate to 4.2 m3/h, yielding only a 20% water flow increase. This underscores the importance of appropriately sizing PV arrays to avoid diminishing returns. These findings are crucial for decision-making in designing and implementing sustainable photovoltaic water pumping systems. Optimizing PV array configuration based on pump specifications can enhance system efficiency and longevity, advancing sustainability goals while conserving resources

Currently, with the development of public relations and production systems, there is a need to increase the capacity of communication systems and information transmission. It has been shown theoretically that it is possible to increase throughput by using multidimensional signals in space instead of real signals on a plane. It is now accepted that a multidimensional space, MultipleInput Multiple-Output (MIMO), can be formed using multiple antennas to transmit and receive in physical space. However, as physicists point out, such space is three-dimensional, and with the addition of time it is four-dimensional. It is clear that in such a physical space, when using more than 2 antennas for transmission and 2 for reception, it is impossible to obtain a gain in throughput of more than 4 times, since according to the laws of cybernetics, the diversity at the channel input will not be transmitted to the exit. It follows that it is necessary to reconsider existing views on the dimension of physical space. Previously, in the work the MIMO data transfer line with three-frequency quaternion carrier, it was shown that it is possible to use a hypercomplex quaternion number as a model of physical space. In this case, the dimension of space will be equal to 4 with 3 imaginary (spatial) axes and one scalar axis. In addition, combinations of three quaternion angular frequencies on the imaginary axes formed 4 single-frequency channels. Accordingly, the gain in throughput compared to real signals reached 4 in orthogonal axes and 4 in frequencies. In this work, an octonion with 7 imaginary (spatial) axes and one scalar is used as a mathematical model of physical space. It is shown that the dimension of physical space will be 8 with 64 single-frequency channels in the form of combinations of 7 angular frequencies. Hence, the gain in throughput will be 8 in orthogonal axes and 64 in frequencies.

In the pursuit for abundant clean energy from nuclear fusion, the Lawson Criterion is cited by fusion researchers and experimentalists as the condition to exceed for fusion of atomic nuclei to occur. In his 1955 paper J.D. Lawson analyzed a fusion plasma conforming to thermodynamic principles at steadystate but with stated omissions and simplifications. Modern fusion researchers developed many incantations of the Lawson Criterion urging their brand leads to fusion ignition, necessarily to sell a rational fusion hypothesis and attract research funding. Others have shown how confined fusion in the laboratory cannot satisfy a positive energy balance due to energy losses from the system. A literature search for "fusion energy balance" shows a suspicious absence of this sanity-check to verify the energy condition was met. This paper applies conservation of energy from classical thermodynamics to a fusion plasma and summarizes eleven modern Lawson-like interpretations in a uniform way, doing so shows the requirements for fusion ignition are not met. Indeed despite billions of speculative dollars spent, sustained laboratory fusion has not been demonstrated in any experimental apparatus built and tested to date worldwide. Heed the warning, in 1955 John D. Lawson wrote: “To conclude we emphasize that these conditions, though necessary are far from sufficient. The working cycle that has been assumed is very optimistic.”

This scholarly article explores the transformative evolution of customer relationship management (CRM) systems by integrating predictive analysis, artificial intelligence (AI), and machine learning. Traditional CRM systems exhibit weaknesses in areas such as customer privacy exploitation and differential treatment, necessitating a reevaluation of their foundational principles. Integrating advanced analytics and machine learning algorithms emerges as a strategic avenue for modernizing CRM, allowing organizations to anticipate customer needs, address issues proactively, and foster meaningful relationships. The paper details the re-architecting of CRM systems, emphasizing considerations for organizations transitioning from traditional to modern approaches. Scalability, flexibility, and adaptability are essential principles for ensuring CRM systems evolve with dynamic customer needs. The article also addresses the challenges and ethical considerations of integrating predictive analysis and AI into CRM, emphasizing responsible data practices and transparent decision-making processes. Furthermore, the paper projects future trends in CRM evolution, outlining the significance of automation, personalization, reliance on AI, and social media integration. The convergence of these trends is poised to redefine customer experiences, creating a landscape where hyper personalization and seamless omnichannel interactions are the norm. In conclusion, the transformative evolution of CRM systems extends beyond technological upgrades to encompass a strategic shift in organizational culture and customer-centricity. By embracing the potential of predictive analysis, AI, and machine learning, organizations can navigate challenges, ensuring CRM remains committed to genuine customer satisfaction, trust, and enduring partnerships.

The rapid growth of digital technologies has transformed the world, enabling new opportunities while also introducing new security risks. Lesotho, like many other countries, faces a range of cybersecurity challenges that threaten the integrity of its information systems, data, and critical infrastructure. This paper provides an overview of the current state of cybersecurity in Lesotho, including the challenges faced by the country and the opportunities for improvement. One prominent cybersecurity concern is the persistent targeting of critical government systems, with a particular focus on the IFMIS (Integrated Financial Management Information System) within the Finance Ministry. This paper examines the vulnerabilities and risks associated with the IFMIS system and analyzes past cyberattacks, such as the successful breach on September 26, 2020, orchestrated by an insider within the Finance Ministry's IFMIS team. It also takes into account a recent attack on the IFMIS system that was encrypted by an unknown entity while synchronizing the backups, highlighting the ongoing threats. The paper reviews the regulatory framework for cybersecurity in Lesotho, the state of cybercrime and cyber threats, and the existing efforts to address these challenges. The paper also proposes a set of recommendations for enhancing cybersecurity in Lesotho, including measures to secure critical government systems like IFMIS to protect against future cyber threats and data breaches.

All magic and mystery disappear as soon as an obscure mysterious concept gets a rigorous formal definition. In order to provide an opportunity to talk about the applicability of philosophical / cognitive concepts to the subject area of AI, it is necessary to "ground" these concepts by formulating rigorous formal definitions for them. The fundamental importance of such formal definitions is quite obvious, since any concepts applied to the field of Information Technology must be "codable", i.e. potentially implementable in program code. Thus, the "codable" formal definitions of cognitive terms are the necessary basis on which alone it is possible to build the architecture of AI technology that has the ability to embody these concepts in a real software. The question of the adequacy of such definitions of "reality" and their compliance with existing generally accepted philosophical theories is also very important and quite discussable, but this does not affect the priority and fundamental nature of the requirement for the formulation of "codable" formal definitions. The formulation of "codable" definitions for the concept of "consciousness" and related cognitive concepts and, based on them, statements about their applicability to the subject area of AI is the topic of this publication. Covering questions: Can AI have a Personality / Motivations / Free Will?