Terms Of Potential Research Articles

Alizarin Red S, Oxalic Acid and Cetylpyridinium Chloride-based Modified Photogalvanic Cell with Sustainable Conversion and Storage of Solar Energy

In this study, an integrated photogalvanic system of Alizarin red S, oxalic acid and cetylpyridinium chloride has been fabricated and used for the conversion of solar energy in to electrical energy with improved conversion efficiency and storage capacity. The photogalvanic cell is an H-shaped glass tube cell containing two electrodes dipped in a multifaceted electrolyte solution of dye-reductant-surfactant-alkali. By virtue of its photogalvanic action, it is capable of being charged by sun light. This system by way of variable concentration of chemical components were used to formulate a modified photogalvanic cell. The modified cell indicated significantly improved performance in terms of dark potential (778 mV), open-circuit potential (1189 mV), short-circuit current (420 µA), power (147.42 µW), charging time (17 min), half change time (16 min), conversion efficiency (2.16%) and fill factor (0.299).

Association between doxycycline use and long-term functioning in patients with schizophrenia

Importance and objectiveThe brain-penetrant tetracycline antibiotics, minocycline and doxycycline, have been proposed as potential candidate drugs for treatment of schizophrenia, based on preclinical studies and clinical trials. A potential long-term beneficial effect of these antibiotics for schizophrenia patients has not been investigated. This study was designed to determine if redemption of doxycycline prescription in schizophrenia is associated with decreased incidence of disability pension, a proxy for long-term functioning. DesignWe performed a population-based cohort study with data from schizophrenia patients available through the Danish registers. Survival analysis models with time-varying covariates were constructed to assess incidence rate ratios (IRR) of disability pension after exposure to doxycycline or a non-brain penetrant tetracycline, defined as at least one filled prescription. The analysis was adjusted for age, sex, calendar year, parental psychiatric status and educational level. ResultsWe used data from 11,157 individuals with schizophrenia (4,945 female and 6,212 male; average age 22.4 years old, standard deviation (std) 4.50). 718 of these were exposed to brain-penetrant doxycycline, and 1,498 individuals redeemed a prescription of one or more of the non-brain-penetrant tetracyclines. The average years at risk per person in this cohort was 4.9, and 2,901 individuals received disability pension in the follow-up period. There was a significantly lower incidence rate of disability pension in schizophrenia patients who had redeemed doxycycline compared to patients who did not redeem a prescription of any tetracycline antibiotics (Incidence rate ratio (IRR) 0.68; 95 % CI 0.56, 0.83). There was also a significant lower rate of disability pension in schizophrenia patients who redeemed doxycycline compared to individuals who redeemed a prescription of one of the non-brain penetrant tetracycline antibiotics (IRR 0.69 95 % CI 0.55, 0.87). ConclusionsIn this observational study, doxycycline exposure is associated with a reduced incidence of disability pension. These data support further studies on the potential long term neuroprotective effects of doxycycline and level of functioning in schizophrenia patients.

Bank Term Deposit Service Patronage Forecasting using Machine Learning

Term deposit is one of the financial services offered by the bank. Effective bank marketing campaign to forecast possible customer to engage in personal term deposit marketing interaction is vital because it’s hard to stand out, considering that all banks offer similar products. Trailing to this, this study proposed the use of machine learning algorithms to develop a bank term deposit patronage forecasting models which have the ability to study the characteristics of customers to identify potential term deposit customers. Random Forest and Xtreme Gradient Boosting algorithms along with Portuguese institution marketing campaign dataset were used to develop bank term deposit service patronage forecasting model. The data balancing algorithm utilized is the Synthetic Minority Over-sampling Technique and Edited Nearest Neighbors (SMOTE-ENN) and feature selection was conducted using Information Gain. The Random Forest model achieved an accuracy of 95%, recall of 92% and f1 scores of 94%. Xtreme Gradient Boosting model achieved an accuracy of 97%, recall of 97% and f1 scores of 97%. The results of the experiment revealed the Xtreme Gradient Boosting emerged as the best model

Agronomic Performance and Grain Yield Stability of Elite Field Pea (Pisum Sativum L.) Genotypes Tested at Various Potential Growing Environments in Ethiopia

Field pea is a multipurpose crop. Despite its diverse benefits, its production and productivity in Ethiopia has remained low compared to its potential due to several biotic and abiotic constraints. Hence, this experiment was carried out with the objective to select best field pea genotypes in terms of yield potential, stability, pest resistance and other desirable agronomic traits for high potential production areas of the country. A total of 17 field pea genotypes including two standard checks, Burkitu and Bursa were arranged in a randomized complete block design with four replications over nine locations in 2019 and 2020 main cropping seasons. The computed analysis of variance showed highly significant differences (p < 0.01) among the genotypes for all studied agronomic traits. One field pea genotype, GPHA-38 found better having 4 and 5%grain yield advantage over the two checks, Bursa and Burkitu, respectively. Additionally, GPHA-38 had comparable performance on the other agronomic traits with standard checks. Moreover, this genotype was found stable in grain yield among the test entries based on GGE biplot stability analysis. However, this genotype may not fulfill the criteria to present as candidate for variety verification trial due to low grain yield advantage and other agronomic traits compared with the checks. Therefore, considering its consistent performance and relatively better yielding capacity, the line GPHA-38 can alternatively be used as a trait donor parent in the pre-breeding programs.

Exploratory Analysis of Literature on the Impact of Globalization on Finance

This exploratory analysis delves into the extensive body of literature examining the intricate relationship between globalization and finance in the contemporary era. As global economic forces continue to reshape financial landscapes worldwide, this study synthesizes insights from diverse disciplines, including economics, finance, sociology, and political science. The analysis uncovers the transformative power of globalization on financial structures, institutions, and market behaviors, revealing a nuanced interplay that extends beyond economic transactions. The literature review explores key themes such as the new dynamics of financial globalization, its effects on developing countries, and the role of technology, market structure, and policy responses. Additionally, it addresses the social and political consequences, emphasizing the need for a comprehensive understanding to inform regulatory frameworks and international cooperation. The method section details a systematic bibliometric analysis of Human Resource Management research in the context of globalization, providing key metrics, trends, and research opportunities. The results and discussion section identifies research trends, key articles, and potential terms for future exploration. Drawing implications from the analysis, the study advocates for adaptive strategies and a forward-thinking perspective to navigate the complexities of the interconnected global financial landscape.

Simultaneous identification of the solely time‐dependent potential and source control terms from known moisture moments

Pseudo‐parabolic equations are commonly used as mathematical models in mechanics, biology, and physics to address various applied problems. One particular application involves describing moisture transfer dynamics in subsoil layers using pseudo‐parabolic equations. This manuscript examines the inverse problem (IP) of identifying the moisture transfer function, along with the time‐varying potential and source control terms, in a linear pseudo‐parabolic equation from known moisture moments. We prove the existence of a unique solution to the inverse problem for sufficiently small times by employing the contraction principle. The inverse problem is reformulated as a nonlinear least‐squares minimization problem, with the unknowns subjected to simple bounds. To guarantee stability, the Tikhonov regularization technique is utilized. For the numerical discretization, we develop the Crank–Nicolson finite‐difference method to solve the direct problem. To solve the nonlinear least‐squares minimization problem, we utilize the built‐in subroutine lsqnonlin from the MATLAB optimization toolbox. We present and thoroughly discuss numerical outcomes for a benchmark test example, providing insights into the performance and effectiveness of the proposed methodology.

Enhanced sensing performance of carboxymethyl cellulose sodium to hydrogen sulphide gas and methylene blue dye by constructing CuO@ZnO core/shell heterostructure: A DFT/TD-DFT study

Anthropogenic air and water pollution are two of the world's most serious public health threats, causing around 9 million fatalities each year. Accordingly, CuO, ZnO, and CuO@ZnO core/shell structures were optimized utilizing the time-dependent density functional theory (TD-DFT) method to study the effect of CuO@ZnO core/shell on the sensitivity of carboxymethyl cellulose sodium (CMC). Absorption spectra and optical band gap (Eg) have been investigated utilizing the TD-DFT method. The calculated Eg values for CuO and ZnO equal 1.23 and 3.29 eV, respectively, which agree well with those reported in the literature. The effects of H2S gas and methylene blue dye (MB) adsorption on the electronic characteristics of dimer CMC /CuO@ZnO structures were investigated in terms of TDM, HOMO/LUMO energy, and molecular electrostatic potential (MESP). The TDM in dimer CMC/CuO@ZnO structure was increased to 72.152 and 67.606 Debye, while ΔE was reduced by 6.42% and 82.57% due to the adsorption of H2S and MB dye, respectively. This means that it has a faster response to MB than to H2S. Additionally, MESP confirms the increased reactivity of dimer CMC/CuO@ZnO due to the adsorption process. As a result, dimer CMC/CuO@ZnO structures appear to be attractive candidates for H2S and MB dye sensing applications.

Quantifying the environmental implication of cotton-Fiber-based Nanocrystalline cellulose: A life-cycle assessment

Considering the increasing demand for nanocrystalline-cellulose in the industry, due to its exceptional physical and biological properties, cheaper and more efficient production processes are sought. Addressing environmental concerns, especially within the framework of EU policies, this study employs Life Cycle Assessment (LCA) to evaluate the environmental performance of a novel nanocrystalline-cellulose production procedure, encompassing biomass depolymerization, rinsing, and bleaching. The LCA aims to identify environmental hotspots, explore mitigation measures, and enables comparisons with other LCA studies on nanocrystalline-cellulose. The results are calculated and reported for 19 environmental impact categories, using the ReCiPe 2016 impact assessment method. The production of 1 kg of dry nanocrystalline-cellulose using the novel process emits 63.7 kg CO2 equivalent, which is lower than the literature average (68 kg CO2 equivalent). The solvent (e.g. diethylene glycol) is the major contributor to the global warming potential and fossil-fuel depletion potential in the product stage of the nanocellulose, while the electricity requirements and glycerin represent environmental hotspots regarding 15 of the 19 impact categories assessed. In terms of the water-consumption potential, the environmental hotspot is production of raw materials (e.g. cotton fibers). Electricity contributes more than 50 % of the burden to the impact categories associated with ionizing radiation, the pollution of aquatic ecosystems and human toxicity related to cancer. It also holds a significant share of the burdens for terrestrial acidification (48 % of the impact), the formation of fine particulate matter (46 % of the impact), and human toxicity related to non-cancer diseases (37 % of the impact). This underscores the importance of optimizing the production process, possibly through upscaling. Additionally, incorporating on-site renewable energy sources and utilizing biomass-derived diethylene glycol can enhance the environmental performance of nanocrystalline-cellulose.

Exploring the Manufacturing Process of a Renaissance Breach Pike

An archaeometallurgical study of a Renaissance breach pike was performed to elucidate its manufacturing process. Optical microscopy observations and microhardness measurements indicated that the breach pike was forged starting from a heterogeneous steel lump. The microstructural features were compatible with post-forging air cooling. The chemistry of a large set of nonmetallic inclusions was investigated by scanning electron microscopy coupled with X-ray dispersive spectroscopy. Compositional data were analyzed by multivariate statistics to distinguish smelting-related slag inclusions. A logistic regression model indicated that the steel was probably produced by the direct method. The liquidus temperatures of the slag inclusions indicated maximum smelting temperatures in the range of 1200 °C to 1300 °C. A thermodynamic-based model was adopted to estimate the average smelting conditions in terms of temperature and oxygen chemical potential and investigate the disequilibrium of slag inclusion–metal systems. For low-disequilibrium systems, the computed temperature values range between 1095 °C and 1118 °C, while the oxygen chemical potentials (μO2) span from −442 to −374 kJ/mol.

Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools

Methane (CH4) emissions from cattle farms have been prioritised on the EU agenda, as shown by recent legislative initiatives. This study employs a supply-side agroeconomic model that mimics the behaviour of heterogeneous individual farms to simulate the application of alternative economic policy instruments to curb CH4 emissions from Italian cattle farms, as identified by the 2020 Farm Accountancy Data Network survey. Simulations consider increasing levels of a tax on each tonne of CH4 emitted or of a subsidy paid for each tonne of CH4 curbed with respect to the baseline. Individual marginal abatement costs are also derived. Besides, to consider possible technological options to curb emissions, a mitigation strategy is simulated, with different levels of costs and benefits to appraise the potential impacts on the sector.Relevant reductions in operating income are foreseen, the most substantial in farm types and size classes characterised by lower levels of carbon productivity. The introduction of the mitigation strategy shows that the outcome in terms of mitigation potential, without undermining production level, highly depends on the implementation costs, but can also vary widely due to heterogeneous farms’ economic performances. Policy implications are also derived.

Suggestions for Introducing Some New Terms in Pelvic and Acetabular Surgery

Background. The rapid advancement of modern surgical methods for treating pelvic bone fractures has underscored the necessity for developing a new terminological framework. This is because the classical anatomical terminology of the pelvis no longer aligns with the demands of the therapeutic process and scientific research in this field. The traditional set of anatomical names and landmarks falls short in providing detailed descriptions of all intricacies of injuries when employing contemporary surgical techniques. The existing terminology system needs to catch up with the level of contemporary pelvic surgery, enabling a comprehensive and understandable characterization of existing pathology and the treatment being administered for all medical professionals.
 Purpose of the study was to create names for certain parts of the pelvic bones and their areas that currently lack specific designations and to propose the developed terms for professional discussion.
 Methods. A retrospective analysis was conducted on X-rays and computer tomography scans of patients with pelvic bone injuries, performed from 2020 to 2022. A list of potential new anatomical terms was compiled through a literature review.
 Results. In several cases, we encountered a deficiency of terms in diagnosing pelvic injuries and describing surgical procedures. New terms were developed to denote areas of the pelvis and their injuries, including the pubic bone base, vertical fractures of the pubic bone base, longitudinal fractures of the pubic bone base, incomplete rupture of the pubic symphysis, the base of the ilium, longitudinal fracture of the iliac base, fracture-subluxation and fracture-dislocation of the iliac base, calcar of the iliac bone, calcar spike, and the bone corridor.
 Conclusions. The incorporation of new anatomical terms into clinical practice will help enhance the precision of diagnosis and surgical planning in pelvic fractures. Standardizing the terminology will promote uniformity in approaches and knowledge sharing among specialists, ultimately improving the quality of surgical care for patients with pelvic injuries.

Development and use of a directed acyclic graph (DAG) for conceptual framework and study protocol development exploring relationships between dwelling characteristics and household transmission of COVID-19 – England, 2020

BackgroundHousehold settings are high risk for COVID-19 transmission. Understanding transmission factors associated with environmental dwelling characteristics is important in informing public health and building design recommendations. We aimed to develop a directed acyclic graph (DAG) to inform a novel analytical study examining the effect of dwelling environmental characteristics on household transmission of COVID-19. MethodsKey demographic, behavioural and environmental dwelling characteristics were identified by a multidisciplinary team. Using the DAG to visually display risk factors, and using expert knowledge of available datasets we reached a consensus on the factors included and directionality of relationships to build the final conceptual framework. Factors were displayed as nodes and relationships as pathways. ResultsOf 34 potential factors, 16 were included in the DAG, with 13 causal and three biasing pathways. Three variables were not measurable using retrospective datasets. The DAG enabled us to select data sources for the pilot study period and to inform the analysis plan. Key exposure nodes were energy efficiency or dwelling age; dwelling type or number of storeys; and dwelling size. We determined direct and proxy confounders which we could adjust for, potential interactions terms we could test in model building, and co-linear variables to omit in the same model. ConclusionsThe DAG helped identify key variables and datasets. It prioritised key nodes and pathways to formalise complex relationships between variables. It was pivotal in identifying unobserved variables, confounders, co-linearity and potential interactions. It has supported data selection and design of a retrospective pilot study analysis plan.

Evaluation of rockfall hazard based on UAV technology and 3D Rockfall Simulations

Hacıabdullah village, where rockfall events occur frequently, is an important mountainous region located within the boundaries of Niğde province, which is one of the top provinces in Türkiye in terms of rockfall events and is located in the Central Anatolia Region. Despite the frequent occurrence of many rockfall events of varying sizes, no precautions are taken as a result of these events, leading to economic damages. Therefore, Hacıabdullah village, which poses a high danger and risk in terms of slope instability and rockfall potential, has been selected as the study area. The study aims to evaluate rockfall events occurring on steep slopes in Haciabullah village, based on the potential rock blocks that could fall, by modeling them according to their geometries. Within this scope, the potential 17 rock blocks that could fall have been identified in the field and modelled using RAMMS 3D rockfall software according to their geometric characteristics. In addition to the geometric characteristics of the rock blocks, their potential falling areas, velocities, jump heights, and kinetic energies will also be determined, the basis of the rockfall hazard analysis. For the 3D modeling of the study, UAV-DSM (3cm resolution), which represents the high-resolution surface of the topography, has been used as the main dataset. As a result of 3D rockfall modeling, the maximum kinetic energy, maximum velocity, and maximum jump height of the falling blocks reached 3476 kJ, 23.1 m/s, and 14.57 m, respectively. The result of the kinematic analysis showed a higher probability of toppling type in the whole study area. Rocks that do not move very far from the source area are; in other words and may significantly damage the roads. However, rolling blocks, in other words, blocks that can travel long distances from the source area, have the potential to cause great damage to the settlement areas, roads, and trees. According to the hazard map, blocks involve high and moderate levels of risk for settlement units.

Cultivar and environmental impacts on protein and mineral concentrations in peas (Pisum sativum L.)

AbstractPea (Pisum sativum L.) grain contains abundant protein, starch, and minerals. However, there are obstacles to growing peas that achieve consistently high protein and mineral concentrations. Seven pea cultivars were planted at seven locations with contrasting soils and environmental factors to evaluate the genetic and environmental effects on pea yield and quality. Correlations and principal component analyses (PCA) were performed to correlate pea grain yield and protein with mineral concentrations in pea grain and soil. Significant cultivar × location interactions were observed on pea grain yield but not on pea grain protein concentration. Some cultivars demonstrated more sensitivity to the environment than others in terms of grain yield potential and stability. The lack of a cultivar × location interaction for pea grain protein concentration indicates consistent genetic control of this quality parameter. Although there was a negative relationship between pea grain yield and protein concentration at the cultivar level at each environment, this correlation became weaker while pooling the data from all environments (site‐years) due to the confounding effect from environments. Pea grain mineral concentrations were significantly affected by cultivar and location, but location generally affected the mineral levels more than cultivar. Grain mineral nutrients, especially macronutrients, were highly correlated with soil minerals. The three distinct clusters formed in the PCA indicate mega environments that determine pea grain yield and quality, and understanding the mega environments in combination with improved soil fertility management may represent the most effective means of increasing pea grain yield, protein, and targeted mineral levels.

Multi-stable straw-like carbon nanotubes for mechanical programmability at microscale

ABSTRACT Inspired by macroscale 3D pixel mechanical metamaterials and microscale straw-like carbon nanotube, we propose a design of multi-stable straw-like carbon nanotubes (MSCNT) via optimizing the structure of a unit to obtain multiple stable states under displacement loading by molecular dynamics. The unit of MSCNT is mirror-symmetrically connected two truncated graphene cones with specific apex angles. By switching the LJ term in AIREBO potential, we verify that the bistability of unit is co-determined by snap-through instability and microscale adhesions. Moreover, we examine the validity of the multi-stability of the unit cells arranged in series and in parallels. Simulation results indicate that the MSCNT can achieve mechanical programmability in microscale, which triggers many potential applications in need of customizing nanoscale mechanical behaviors.

Non-Metals Chelated by Redox Active Chelators as Electrocatalysts for Hydrogen Evolution Reaction (HER)

Global energy needs the development of non-polluting and renewable sources. Hydrogen is most attractive as such, it has high energy density of 140 MJ/Kj and water as a byproduct.1 Despite the “simplicity” of the H-H bond, a catalyst is required to make its formation process efficient and economic.2 Although platinum group metal (PGM) are the best catalysts for the Hydrogen Evolution Reaction (HER) to date, they are rare and expensive.3 Conventional HER catalysis employs a transition metal with the ability to accommodate several oxidation states for the two-electron hydride transfer associated with hydrogen evolution. Emerging interest is being shown in the utilization of redox-active ligands that open alternative HER pathways, such as ligand-assisted metal-centered,4 ligand-centered,5and metal-assisted ligand-centered reactivity.6 Antimony corroles7 and two boron subphthalocyanines8 are reported as HER electrocatalysts. For that, two new corroles with electron donating and electron withdrawing meso-substituents were fully characterized X-ray crystallography, NMR, electronic spectra, and electrochemistry. All the complexes were studied under homogeneous conditions (CH3CN solvent and TFA as proton source), which revealed that catalysis relies on ligand reduction, in contrast with ordinary transition metal complexes. It revealed that the electron withdrawing substituents are best for homogeneous catalysis and the most electron rich substituents are best in heterogeneous catalysis in terms of onset potential and faradaic efficiency due to secondary sphere.

Exact controllability in the interior for a strongly coupled elastic system

In this work, we studied the exact controllability of a strongly coupled elastic system. First, we studied the case of a system where potential terms are absent. Next, we present the system's observability inequality including the potential terms. To prove the inequality of observability for the system without the potential, we used the multipliers technique and explained the control time and its relation with the coefficients of the system. Then, we apply Hilbert uniqueness method to prove the exact controllability. To prove the observability inequality of system with potential, we use a technique based on perturbation of the solution and the observability inequality for the system without the potential.

Preliminary Evaluation of Minor Cereals as Non-Traditional Brewing Raw Materials

Recently, “minor” cereals have been gaining interest due to their distinctive characteristics, not only in terms of nutritional and health potential, but also because of their hardiness. To date, the use of several of these cereals for the production, both at artisan and industrial level, of foods such as pasta and bakery products has already been well established, whereas their investigation for the production of malt and beer has been more limited. In this work, a preliminary analysis of the malting aptitude of einkorn, tritordeum, food-grade sorghum and teff was evaluated. Grain quality parameters that influence the processes of malting and transformation into alcoholic beverages were evaluated, i.e., thousand-kernel weight, test weight, total protein and starch content, falling number, germination capacity, germination energy and amylase activity. Grain analyses showed, on average, satisfactory values for alcoholic fermented beverage production in all the cereal species examined (mainly in tritordeum), whereas the amylase activity of the malts produced was lower than that revealed in barley malt. Fermented drinks derived from these minor cereals, therefore, could be interesting for the light and gluten-free beer markets.

An Advanced Early-Stage Production Forecasting Model for Middle-High Rank Coal Development

Reasonable production prediction of coalbed methane (CBM) is of great significance for improving the economic benefit of CBM reservoirs. Current prediction methods for CBM production focus on the later stages of development, with few studies on early production forecasting. The objective of this work is to provide a reliable new idea for the early production prediction of CBM through various analyses and demonstrations. First, the CBM development modes are classified according to the production characteristics of the Panhe demonstration block of Shaanxi Province, China. Second, an efficient and feasible early production prediction model is established based on the geological potential and development potential. Finally, using the proposed model, different modes’ production characteristics and optimization strategies are analyzed. The research shows that the gas production profiles can be divided into two modes: single-peak mode (SPM) and multipeak mode (MPM). The peak production and average EUR of the SPM are 49.6% and 32.4% higher than those of the MPM, but the stable production period is only 0.2~1 year. In terms of the geological potential of CBM wells, the gas content, critical desorption pressure, and formation coefficient of the SPM are 6.7%, 13.3%, and 37.8% higher than those of the MPM, and the gas wells are mainly located in the high part of the coal seam (the average height difference is about 20 m). Besides, the concept of quasidesorption degree Pdq is innovatively introduced to characterize the development potential of gas well. The Pdq has an exponential relationship with CBM production, and the coefficient of the exponential term in SPM is approximately 22% larger than that in MPM. Moreover, the production of gas wells is greatly affected by the continuity of production. In the process of gas production, the influence of factors such as equipment shutdown should be minimized. To examine the applicability of the proposed method, the model is applied to an actual CBM well in Panhe, and the prediction accuracy is higher than 85%.

Synthesis, Characterization, and Investigation of Anti-Inflammatory and Cytotoxic Activities of Novel Thiourea Derivatives of Naproxen.

The objective of this study was to synthesize seven novel thiourea derivatives of naproxen (8-14), examine the anti-inflammatory activity of the newly synthesized compounds, investigate the cytotoxic potential of both sets of synthesized compounds (1-7 and 8-14), and select the most promising anti-inflammatory and antitumor drug candidates. The results of the in vivo anti-inflammatory study clearly showed that compounds 8 and 9 were capable of decreasing paw edema, as evident from a high percentage of inhibition (44.83% and 49.29%, respectively). In addition, the results of in vitro enzyme inhibition assays demonstrated that neither of the newly synthesized compounds reached 50% inhibition of 5-LOX at concentrations lower than 100 µM. In terms of antitumor potential, derivatives 3 and 8 exhibited strong cytotoxic effects on the HeLa cell line, suggesting the involvement of the extrinsic pathway of apoptosis. According to the overall results obtained for both sets of synthesized molecules, derivatives 4 and 8 can be underlined as molecules with the strongest anti-inflammatory activity, while derivatives 3 and 8 are the most promising cytotoxic agents.