Ultralight, water-stable adsorbents that deliver both dye removal and sustained antibacterial activity are increasingly sought for decentralized water purification. We report a scalable strategy to integrate Ti₃C₂Tₓ MXene with chitosan (CS) into three-dimensional, compressible aerogels (MCA) that couple high adsorption capacity for the anionic azo dyes methyl orange (MO) and Eriochrome Black T (EBT) with strong, reusable suppression of Escherichia coli and Enterococcus faecalis. At an optimal 12 wt
Human resource technologies have become a growing trend in the contemporary management of workforces with organizations seeking to modernize their workforce management but the definitive empirical findings of these systems varies at large. The paper analyses the maturity of HR technologies and its relationship with three key organizational outcomes, which includes productivity, cost efficiency and sustainability. A sequential mixed-methods design was used to first obtain qualitative information among twenty senior HR professionals to refine the key constructs and measurement indicators. This understanding helped in the creation of a firm-level survey that was given to 440 participants in the organizations that had previously deployed digitally integrated HR systems. The validity and reliability of measurement model were established using exploratory factor analysis and the proposed relationships were assessed through multiple regression analysis. The findings reveal that the cost efficiency is highly associated with HR technology maturity (β = −0.1267, p = 0.033), with decreased administrative and transactional cost in far more digitally mature HR systems. Conversely, the HR technology maturity was not identified to be significantly related to two outcomes i.e., organizational productivity (β = 0.0147, p = 0.798) and sustainability outcomes (β = 0.0177, p = 0.756). These results imply that the short-term (immediate) and easily visible payoff of investing in HR technology is efficient in cost, whereas productivity and sustainability are contingent on wider organizational and governance contexts but not the maturity of technology. The study further provides a more grounded perspective on how the value of HR technology can be achieved by empirically separating the short-term objectives of operations and higher-order results. The findings highlight the importance of managerial potential and institutional environment in transforming digital HR infrastructures into broader performance and sustainability results, which can be easily inferred by the researchers and practitioners working in digital transformation of HR.
We have investigated the prospects of probing the five-dimensional U(1)L mu -L tau interactions in present and These experiments are classified into two categories: the first two can probe processes where feebly interacting massive particles go into invisible channels, while the latter two can probe processes where these states decay into muon pairs. These two types of experiments are complementary in that they allow exploration of different parameter regions of a model. In our scenario, the presence of multiple massive gauge bosons as Kaluza-Klein (KK) particles leads to an enhancement in the signal events compared to the corresponding four-dimensional scenario. In particular, the decay process into muon pairs enables mass reconstruction of the parent particle, making it possible to directly demonstrate the existence of multiple KK particles in at least some parameter regions. This can provide clear evidence that the origin of the U(1)L mu-L tau interaction lies in five dimensions. Furthermore, the muon (g - 2) value, which is now consistent with the Standard Model, can be used to exclude specific parameter regions for new particles interacting with muons. We also carefully discuss the nontrivial effects arising from nonzero kinetic mixing.
Topological indices (TIs) serve as essential numerical descriptors for characterizing the structure of graphs, with significant applications in diverse fields, including chemistry, social sciences and economics. However, traditional TIs often fail to fully capture the complexity of relationships within graphs, leading to potential inaccuracies. To address these limitations, fuzzy graphs (FGs) and intuitionistic FGs (IFGs) have been introduced. FGs incorporate degrees of membership for graph elements, while IFGs extend this concept to include both membership, non membership, providing a more comprehensive representation under uncertainty. In this research, we introduce hyper wiener index, schultz index, gutman index ABC index, GA index in the Single Valued Neutrosophic graphs(SVN-graphs) with few examples. We can also find results for some relations to the connectivity indices and wiener indices. Also we study will be taken up for the effects of edges and vertices deletion on Wiener and connectivity indices in SVN-graph. Along with this an analysis of the mean wiener index for SVN-graphs is also defined and analyzed for its implications in molecular connectivity studies. This study focuses on the exploration of the F-index, edge F-index, and their respective limits in SVN-graphs. Furthermore, we study the relationships between the edge F-index and other critical indices in SVN-graphs, such as the Sombor Index and the Second Zagreb Index. The paper also discusses the edge F-indices between isomorphic SVN-graphs, providing a deeper understanding of how these indices can be employed to analyze similar structures under varying conditions. This research contributes to the theoretical development of topological indices in neutrosophic graph theory, while highlighting their practical applications across various disciplines. Finally, the application of F-index and edge F-index based on chemical reaction pathway optimization in SVN-graph is presented. The F-index and edge F-index in the neutrosophic environment are determined mathematically, and representative reaction networks are used to illustrate their application. The results demonstrate that, in comparison to standard graph measurements, neutrosophic-based descriptors offer improved sensitivity in pathway evaluation, making them useful instruments for reaction route optimization under ambiguous chemical conditions.
Synergistic integration of Al-doped ZnO, a SiO 2 electron-blocking interlayer, and a MoS 2 –PDMS nanocomposite results in a flexible high-output triboelectric nanogenerator capable of lighting 400 LEDs and maintaining long-term operational stability.
