New Developments in ROI Analysis and Measurement: A Comprehensive Review

Organizations looking to stay competitive and prosper must now grasp and adjust to new developments in ROI assessment and analysis in the quickly changing business environment of today. The dynamic field of ROI measurement is examined in this article, which also highlights cutting-edge methods and trends that are changing how companies assess their investments. This essay explores the revolutionary shifts that are altering the ROI environment, from the use of artificial intelligence and sophisticated analytics to the growing significance of sustainability and social impact measurements. Businesses may obtain a competitive edge and make wise decisions that result in long-term growth and success in a market that is changing quickly by keeping ahead of these developing trends

The Impact of Technological Innovation on Income Inequality

This study investigates how technology innovation affects income inequality trends by analysing occupational and salary data via econometric methods and studying tech platforms through case studies. The results indicate that automation has greatly divided work opportunities, and skills gaps are a crucial factor contributing to the increasing salary differences for technical degrees. Tech platforms are showing winner-take-all consequences by concentrating half of the sector\u27s revenues. Innovation expands the economy, yet technological changes may still favour certain tiny groups. Specific policy measures focusing on skills development, institutional changes, and promoting competition are necessary to ensure that productivity increase benefits everyone

Assessment of the Role of Pharmacists in Preventing Medication Errors in Hospital Settings

Medication errors can have serious consequences for patients in hospital settings. As medication experts, pharmacists play a critical role in preventing medication errors. This literature review examines the roles of pharmacists in preventing medication errors in hospital settings. The review identified several roles of pharmacists in preventing medication errors, including medication order review, medication reconciliation, providing drug information and education, and participation in interdisciplinary teams. The review also identified barriers to pharmacist involvement in preventing medication errors, such as limited access to patient information and limited communication with other healthcare professionals. Overall, the literature suggests that pharmacists can play a crucial role in preventing medication errors in hospital settings and that efforts should be made to overcome the barriers to their involvement

Treatment of Psoriasis with the Help of Curcumin Hydrogel

Psoriasis is a chronic inflammatory skin disorder that affects millions of people worldwide. Current treatments for psoriasis include topical corticosteroids, immunomodulators, and phototherapy, but these treatments may have limited efficacy or cause side effects. Curcumin, a natural compound with anti-inflammatory and antioxidant properties, has been shown to have potential as an alternative treatment for psoriasis. However, the low solubility and bioavailability of curcumin limit its effectiveness when administered orally or topically. Curcumin hydrogel, a topical formulation of curcumin, has been developed to address these limitations. In this review, we summarize the current research on the use of curcumin hydrogel in the treatment of psoriasis. We discuss the pharmacological properties of curcumin, the formulation of curcumin hydrogel, and the preclinical and clinical studies investigating the efficacy and safety of curcumin hydrogel in psoriasis. Overall, the available evidence suggests that curcumin hydrogel may be a promising alternative treatment for psoriasis, with potential benefits in reducing inflammation, promoting wound healing, and improving overall quality of life for psoriasis patients. Further research is needed to fully elucidate the mechanism of action of curcumin hydrogel and to optimize its formulation and delivery for maximum efficacy

First-principles predictions of tunable half metallicity in zigzag GaN nanoribbons with possible applications in CO detection and spintronics

Based on systematic first-principles density-functional theory (DFT) simulations, we predict that the zigzag GaN nanoribbons (ZGaNNR) can be used both as highly efficient CO detectors as well as spin filters. Our calculations performed both on infinitely long nanoribbons, and also on finite strands, suggest that: (a) CO binds strongly at the edges of ZGaNNRs, and (b) that several of the resultant configurations exhibit half-metallic behavior. We considered various edge-passivation sites and found that all the resultant structures are thermodynamically stable. The metallic, half-metallic, and semiconducting configurations are observed as a function of CO passivation coverage. We also compute the current-voltage (I-V) characteristics of various structures using the Landauer formalism and find that the devices made up of half-metallic configurations act as highly-efficient spin filters. The effect of CO concentration is also investigated which suggests a viable way to not just tune the electronic band gap of ZGaNNRs, but also their half metallicity. Our simulations thus suggest a new direction of research for possible device applications of III-V heterostructures.Comment: 14 pages, 12 figures (included

Performance evaluation of Bacopa monneri-loaded ethosomes for topical delivery

Bacopa monnieri is a plant with a rich history of use in traditional Ayurvedic medicine, spanning several centuries. It is also referred to as Brahmi in some regions. This product serves as a treatment for various skin conditions, such as inflammation and wound healing. Its properties also aid in the production of collagen and improve circulation. The inclusion of antioxidants enhances your skin's overall health, resulting in a rejuvenated and vibrant appearance. The present study aimed to prepare a nano-lipoidal system loaded with Bacopa monnieri (BM) extract and its characterization. Twelve formulations (F1-12) were developed using the ether injection method using different ratios of BM extract, L-alpha phosphatidylcholine (SPC), ethanol, and water. Bacoside A was used as a marker compound for estimation purposes. BM extract-loaded ethosomes were characterized in which formulation F-5 showed the highest entrapment efficiency of 89 %, with vesicle size 188 nm, while the zeta potential was -29.19 mV, and the polydispersity index (PDI) was  0.221±1.45. In vitro extract release using a dialysis membrane was performed for 12 hours, and it was found to be 44 % and 61 % at the end of 8 and 12 hours. The formulation followed zero-order non-Fickian diffusion kinetics, which is best for transdermal formulations. The goat skin was used for Confocal laser scanning microscopy (CLSM) study which showed the fluorescence intensity of Rhodamine B entrapped in those was 16.783, while it was 8.580 in the blank hydroethanolic solution, which confirmed the penetration of the ethosomal systems up to 30-40 µm deeper into the skin which gives a possibility that ethosomes can contribute in collagen synthesis and decrease the degradation of elastin in the deeper layers.

Evaluation of Guava (Psidium guajava L.) Varieties and Standardization of Recipe for Nectar Preparation

The nectar prepared from guava variety L-49 had highest ascorbic acid, pH and non-reducing sugar. The recipe with 20 per cent pulp, 0.3 per cent acidity and 17°Brix (TSS) recorded highest organoleptic score. The acidity, TSS, total and reducing sugar of nectar showed an increasing trend during the progress of storage upto five months under ambient conditions. However, these chemical constituents did not change markedly until five months of storage as compared to fresh nectar at the time of preparation

AI-Based Evaluation of Homogeneous Flow Volume Fractions Independent of Scale Using Capacitance and Photon Sensors

Metering fluids is critical in various industries, and researchers have extensively explored factors affecting measurement accuracy. As a result, numerous sensors and methods are developed to precisely measure volume fractions in multi-phase fluids. A significant challenge in multi-phase fluid pipelines is the formation of scale within the pipes. This issue is particularly problematic in the petroleum industry, leading to narrowed internal diameters, corrosion, increased energy consumption, reduced equipment lifespan, and, most crucially, compromised flow measurement accuracy. This paper proposes a non-destructive metering system incorporating an artificial neural network with capacitive and photon attenuation sensors to address this challenge. The system simulates scale thicknesses from 0 mm to 10 mm using COMSOL multiphysics software and calculates counted rays through Beer Lambert equations. The simulation considers a 10% interval of volume variation in each phase, generating 726 data points. The proposed network, with two inputs—measured capacity and counted rays-and three outputs—volume fractions of gas, water, and oil—achieves mean absolute errors of 0.318, 1.531, and 1.614, respectively. These results demonstrate the system’s ability to accurately gauge volume proportions of a three-phase gas-water-oil fluid, regardless of pipeline scale thickness