The exorbitant cost of silicon photovoltaics has led to a growing interest in alternate semiconductor materials for light gathering. Single-walled carbon nanotubes possess unique electrical and optical characteristics, making them a viable material for photovoltaic applications. Exploring ways to utilize these capabilities in photovoltaic devices is crucial. Carbon nanotubes have undergone extensive research in organic photovoltaics and photoelectrochemical cells. However, they may also be combined with a well-known semiconductor, such as Copper Indium Gallium Selenide (CIGS). Nanotube-silicon heterojunction solar cells have shown up to 33 % power conversion efficiency, potentially due to the photoactivity of carbon nanotubes.

The use of semiconductors in photovoltaics, or solar cells, allows them to transform light into energy. Because of its potential as eco-friendly and effective light-harvesting technologies, solar cells have been in the spotlight recently. Extensive and ongoing research has focused on the potential critical role of single-walled carbon nanotubes (SWNTs) in these devices. The most essential metric in comparing single-walled carbon nanotubes (SWNTs) with multi-walled carbon nanotubes (MWNTs) is their optical transmittance, which is different at low densities. As a result, SWNTs are known to perform better than MWNTs. The semiconducting properties of SWNT films allow them to serve as active or charge-transporting materials.

Businesses and the structure of innovation management are being transformed by artificial intelligence (AI). With regard to the rapid advancement of technology and the replacement of traditional human functions, artificial intelligence (AI) can lead management to reevaluate an organization's entire plan for innovation. The ramifications for innovation management in the future are reviewed and examined in accordance. Numerous sectors use project management, and it is not exempt from the advancements that the use of AI keeps bringing about globally. Nevertheless, AI is not yet widely used in businesses, particularly not in all project management domains. Although the exact causes are unknown, they appear to be connected to the unpredictability of using the use of AI in project management (PM). This paper's goal was to recognize the potential and constraints of AI in the particular field of project management through a thorough literature review that allowed for the analysis and correlation of the chosen articles and the discovery of some trends and patterns. A web-based survey and meets with professionals in the field were done to find out how AI might affect the project management industry in the future. In the end, it was clear that, despite certain unexplored areas, the academic community is growing more and more curious in this field.

In this study, the field strength variability (FSV) at Ultra High Frequency (UHF) and the maximum angle of incidence was estimated using the measured monthly climatic data obtained from the National Aeronautic and Space Administration (NASA) during the period of forty-two (42) years (1981 to 2022). The two climatic zones considered in this study are the Guinea Savannah and Coastal regions with two locations in each; Makurdi and Ibadan in the Guinea Savannah; Ogoja, and Warri in the coastal region. The findings indicated that for the four locations, the maximum average values of FSV at UHF obtained were 1.2459dB,1.2015dB, 1.2878dB and 1.4249dB, which occurred in the rainy season, the positive values observed indicate a strong signal with good reception quality while the maximum average values of angle of incidence measured were 0.6461º, 0.5334º, 0.6172º, and 0.4824ºfor Makurdi, Ibadan, Ogoja, and Warri respectively. The average maximum angle of incidence were found to be 0.5177º, 0.4126º, 0.4652º and 0.4013º for the locations during the studied period in which Makurdi and Ogoja values fall within the range of values (0.5º - 1º).

The hybrid nanomaterials represent a revolutionary type of engineered structure that lies on the boundary of the chemistry and materials science and nanotechnology. With a combination of discrete organic-inorganic, metallic-polymeric, or bio-inspired constituents at the nanoscale, the systems are strongly synergistic in terms of physicochemical properties, and by far outperform their individual components. This structural and functional tunability has provided new opportunities in sensor technology, energy conversion and sustainability in catalysis that has never been seen before. Recent progress in interfacial design, atomic-level assembly, as well as nanoscale characterization, have made it possible to highly tune charge dynamics, surface reactivity, and selective molecular recognition. In sensor devices, the hybrid nanomaterials have excellent sensitivity and signal fidelity due to the property of the designs of heterostructures engineering and quantum confinement. Likewise, their hierarchic structures and functional active sites enable efficient energy capture, pollutant reduction as well as green chemical reactions in catalytic systems at ambient conditions. The overlap between artificial intelligence, computational modeling and green synthesis protocols is also rapidly increasing the rational designing of hybrid nanomaterials to be used in sustainable technology applications. It is a review that critically evaluates the new synthesis strategies, structure-property correlations, and multifunctional uses of next-generation hybrid nanomaterials, and shows the progress along with the unfulfilled opportunities of providing scalable, environmentally responsible production. Lastly, the future directions are suggested to a new paradigm of adaptive, circular-economy-oriented design based on integrating efficiency, durability, and ecological compatibility in the state-of-the-art materials engineering.