A study into the thermo-chemical properties of the rocks, utilizing thermal stability (TGA), crystalline phases (XRD), petrographic imaging, chemical composition (XRF), and high-temperature testing, was conducted via experimental characterization. Further characterization of thermo-physical properties, including density, porosity, specific and thermal capacity (DSC), thermal diffusivity, and conductivities (LFA), was also completed. Investigation into the thermo-mechanical properties, encompassing Young's modulus, was also undertaken experimentally. The Craton geo-tectonic setting yielded a soapstone rock that, demonstrably, showcased the most desirable properties for thermal energy storage, with a Young's modulus of 135 GPa under standard room conditions. At elevated temperatures, as experienced during solar drying and CSP processes, the material exhibited thermal capacities of 328 MJ/(m³K) and 465 MJ/(m³K), densities of 2785 g/cm³ and 277 g/cm³, and conductivities of 256 W/(mK) and 243 W/(mK), respectively. A weight loss of 0.75% was observed at 900°C. Inarguably, the thermo-properties of soapstone and granite extracted from the Dodoma Craton and the Usagaran region of the Iringa geo-tectonic settings exhibit notable differences.This study introduces a novel stacked FKM/PU triboelectric nanogenerator (TENG) to leverage the combined benefits of elastic and inelastic triboelectric materials. Combining elastomeric polyurethane (PU) with non-elastomeric fluororubber (FKM) to form the FKM/PU TENG, achieves a performance superior to both FKM-TENG and PU-TENG devices by harnessing the distinct triboelectric properties of both materials, and the exceptional elasticity of PU. Regarding the FKM/PU TENG, its maximum instantaneous open-circuit voltage is 661 volts, while its corresponding short-circuit current is 712 amperes. Subject to a 3 Hz frequency limit and maximum compression, the device yields a maximum power density of 4963 watts per cubic meter, powering more than 500 LEDs. Consequently, the assemblage of materials with various properties in the FKM/PU TENG structure culminates in high output performance and excellent application prospects, thereby promoting advancements in discrete mechanical energy harvesting.Silver nanoparticles (Ag-NPs) possess extensive potential for use in numerous fields, such as the treatment of wastewater and catalytic applications. We report on the green synthesis of Ag-NPs using Acacia ehrenbergiana plant cortex extract, investigating its efficacy in reducing Rhodamine B dye and assessing its subsequent antibacterial and antifungal applications. The green synthesis of Ag-NPs is a three-part process including activation, growth, and final termination. Various analytical techniques were used to analyze the shape and morphologies of the prepared Ag-NPs. Successful Ag-NP preparation is confirmed by the particle size distribution data, which indicates values between 1 and 40 nanometers. RhB dye in aqueous solutions was reduced using Ag-NPs as a heterogeneous catalyst, with sodium borohydride (NaBH4) as the reducing agent. A 96% catalytic reduction was successfully completed in 32 minutes by using 20 L of a 0.005% Ag-NPs aqueous suspension in conjunction with 100 L of 1 mM RhB solution, 2 mL of deionized water, and 1 mL of 10 mM NaBH4 solution. Employing a zero-order chemical kinetic model (R² = 0.98), the reaction rate constant k was calculated as 0.059 mol L⁻¹ s⁻¹ and accurately reflected the results. Moreover, silver nanoparticles acted as antimicrobial agents against 16 Gram-positive and Gram-negative bacteria, and one species of fungus. By employing phytochemicals, the green synthesis of Ag-NPs demonstrates its environmentally friendly and inexpensive nature, while also yielding highly stabilized nanoparticles. Catalytic reductions and antimicrobial activity demonstrate the innovative nature of the prepared Ag-NPs, resulting in substantial outcomes. Microorganisms in polluted water are effectively eradicated by these nanoparticles, which firmly anchor the dye.Many anticancer drugs have stemmed from semisynthetic modifications performed on natural compounds. Eugenol, a naturally occurring compound, was chemically modified in this research to yield new anticancer drugs. NMR, IR, and mass spectrometry analyses confirmed the structure of the final compounds. Compound 17, a morpholine-bearing compound, displayed the strongest cytotoxic effects among the tested compounds in the cytotoxicity studies. It showed IC50 values of 171 µM for MCF-7 cells, 184 µM for SKOV3 cells, and 11 µM for PC-3 cells, and was a potent thymidylate synthase (TS) inhibitor with an IC50 of 0.81 µM. ldc000067 inhibitor Compound 17 is strongly indicated as a TS inhibitor by the docking analysis, displaying an interaction pattern similar to 5-fluorouracil. Pharmacokinetic studies in silico, combined with DFT calculations, confirm the results obtained from docking and biological evaluation, indicating a favorable profile for oral administration of the drug. Compound 17, a promising TS inhibitor, effectively curbed DNA synthesis in prostate cancer cells, thereby diminishing DNA damage.Current research work investigates a novel, renewable fuel source found in discarded lemon fruit skins. Additionally, raw lemon peel oil, emulsion, fossil diesel, and bio-based multi-wall carbon nanotubes (BMWCNTs) were obtained. Using these prospective ingredients, the evaluation of the single-cylinder diesel engine considered its performance, combustion, and emission qualities. Engine testing with a mixture of bio-fuel, blend, and BMWCNT emulsion displayed a substantial reduction (47%) in brake thermal efficiency (BTE) and a substantial increase (136%) in brake-specific energy consumption (BSEC) when compared with diesel at peak power conditions. Through meticulous optimization of the air/fuel mixture and oxygen supply, the test fuel blend showcases heat release rate (HRR) and cylinder pressure trends analogous to the diesel fuel blend. Bio-fuel blends and emulsions demonstrated a remarkable 783% decrease in carbon monoxide (CO) emissions and a 2068% reduction in hydrocarbon (HC) emissions under peak diesel engine load conditions. Nitrogen oxide (NOx) emissions were decreased by 277%, and smoke emissions by 373%.The remarkable combination of toughness and modulus in nacreous architecture presents a compelling target for emulation at the micron to submicron scale via 3D printing, thereby addressing the growing demand in sectors like automotive, aerospace, and protective gear. The present study investigates the fabrication of a columnar (NC) and a sheet (NS) nacre structure, along with a control sample, using fused deposition modeling (FDM). The focus is on their superior stacking architecture, failure mechanisms, crack propagation patterns, and energy dissipation characteristics. Through examination, the nacre structure's mechanical properties are substantially higher than those of a basic sample. NS demonstrates superior mechanical properties: an impact resistance of 112,098 J/m, a 937% increase from the NC arrangement; an elastic modulus of 803,415 MPa, a 1123% rise; and a flexural modulus of 1563 MPa, exceeding NC's by 1085%.Environmentally advantageous for the production of green fuels, nonthermal plasma is a recognized method. Utilizing an atmospheric argon coaxial dielectric barrier discharge (DBD) light source, this work explored hydrogen production via diverse photocatalysts, encompassing PZO, SxZO, and SxZCx. A sol-gel route was adopted for the preparation of the photocatalysts. Water, methanol, and the catalyst, necessary for the reaction, were introduced into the DBD discharge column, all under an argon plasma. A 10 kV AC source powered the DBD reactor, maintaining the plasma necessary for water splitting. Analysis of light absorption by the tested catalysts showed a trend of decreasing band gap with escalating Sr and carbon nanotube (CNT) concentrations within the Sr/ZnO/CNTs system. The S25ZC2 photocatalyst exhibited the lowest photoluminescence (PL) intensity, suggesting the most efficient quenching of charge carrier recombination. The S25ZC2 catalyst facilitated the highest hydrogen evolution rate, reaching 2760 mol h⁻¹ g⁻¹, while the PZO catalyst exhibited the lowest rate, only 56 mol h⁻¹ g⁻¹. S25ZC2's photocatalytic activity, initially robust, exhibited a slight decline over time, attributable to the deactivation of the photocatalyst. At the process's termination, the photocatalytic activity exhibited a decline, decreasing from 2760 to 1670 mol h-1 g-1.Pharmaceutical industry applications of DNA-encoded library (DEL) technology for ligand discovery have gained widespread use. Purified protein targets, whether immobilized on a matrix or dissolved in solution, are the standard for DEL selections. DELs have recently been applied to the study of targets, such as membrane proteins on live cells, in complex biological environments. The cellular surface's convoluted structure contributes to a selection process laden with significant non-specific interactions. Consequently, the selection data exhibit considerably greater noise than data from purified proteins, which makes the identification of valid hits a considerable hurdle. Researchers have devised various strategies for reducing noise in DEL datasets, but the effectiveness of these strategies for cell-based DEL selection remains undetermined. A Maximum A Posteriori estimation loss function is central to a novel machine learning methodology for processing cell-based DEL selection datasets. This probabilistic approach precisely accounts for and evaluates the inherent uncertainties in noisy data. The DEL selection dataset, a library of 7,721,415 compounds, was used in the application of our approach, evaluating interactions with purified carbonic anhydrase 2 (CA-2) and a cell line expressing membrane-bound carbonic anhydrase 12 (CA-12).