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The digital landscape evolves into a new era in the business world. The digital process involved the industries and businesses to think on new applications and domains of implementation of Artificial Intelligence into business. The Industries and business started to invest in technologies for their business benefits and it will also improve customer experience, help to lift conversion, revenue, and profit significantly. AI reacts faster than any human can catch both micro and macro trends. This paper is leveraging the innovativeness in technology and its impact on consumer buying behavior analyzed. AI technology supports buyers during online shopping platforms with the support of following tools like Visual Search, Voice Assistant Search are used by the customers to search and find product-related information. Consumers are influenced by higher-touch technology assistance. In part of this study, Five hundred respondents were chosen for the sample study. The questionnaire was used to collect the data then it was classified and tabulated for statistical analysis to solve the problems of research work, justifying the objective and proving the hypotheses framed for the study. Finally, this study evaluated how the respondents are influenced by AI technology while doing online shopping in E-commerce platforms. According to the gathered data analysis and interpretations were formulated with the following appropriate statistical tools have been applied Descriptive Analysis, One Way ANOVA.

This study focusing on the orientations of role of Technology supports towards the development of incubators, incubate development, problems and challenges of startup companies towards the acceptance of technology, various programes organized by incubators, benefits and achievement of incubates. Further to technology impacts on start up entrepreneurs’’ that the key internal variables contributing for technology adaptability, available technical relevant facilities of incubators, skill & knowledge transfer effectiveness. As interest in the part of future India with creativity of business, this study will helps to understand the gap between the existing incubation cell and the incubates requirements. According to articulated reviews, the research work is categories into 4 chapters. The model is also developed to attain the effective achieving the progression of phases. The questionnaire and interview schedule will be circulate among the 120 incubates in Coimbatore. Finally, 104 responded to the core study of this platform.

In this paper, we explore the property of being a cordial graphic and establish that it corresponds to an Alexandroff topological space. We analyze how the characteristics of cordial graphs align with the principles of Alexandroff topology and provide insights into their topological structure.

The accurate detection of triglycerides (fats) in the blood is useful for diagnosing cardiovascular health. This study reports a point-of-care (PoC) electrochemical assay to detect triglycerides using a IoT based smartphone-assisted platform. The assay consists of a flexible polyimide-based microstrip with electrodes composed of polydopamine (PDA)-coated gold nanoparticles (AuNPs) deposited on laser-induced graphene A coating of PDA on the AuNPs helps to anchor lipase enzymes to the electrode, resulting in an enzymatic sensor that is sensitive and specific toward triglycerides. The sensor is connected to a smartphone for data acquisition and monitoring, making it IoT-enabled for PoC applications. Because smartphones are ubiquitous, the approach presented in this paper is more compatible with PoC use than the conventional bulky sensors. The sensor had a linear response to triglyceride concentration, with a limit of detection of 17.89 mg/dL. The apparent Michaelis-Menten constant (K $_{\mathrm {appm}}$ ) of 21.6 mg/dL indicates that lipase conjugates strongly with triglyceride, resulting in a limit of quantification of 59.63 mg/dL of triglycerides in a low $2~\mu $ L of reference triglyceride solution. The validation of the test using human serum spiked with triglycerides demonstrated a recovery rate of 93.87 % of triglycerides, showing its efficacy when compared to alternative triglyceride sensors, such as metal oxides, conducting polymers, and flow injection that typically have recover rates from 90 % to 110 %. Other common analytes in the serum did not interfere with the sensing. The ability to detect triglycerides using smartphones can lead to improved personalized health monitoring.

Background: Familial platelet disorder (FPD) with predisposition to acute myeloid leukemia (AML) is an autosomal dominant disease of the hematopoietic system that is caused by heterozygous mutations in RUNX1 gene. RUNX1 is frequently involved in the pathogenesis of sporadic leukemia and myelodysplastic syndromes, through acquired chromosome rearrangements and point mutations. Along with intensive chemotherapy regimens, novel targeted therapies are required to increase the surveillance rate in childhood AML. Case report: This study highlights importance of genetic counselling and genetic tests to detect FPD/AML in a 4-year-old diagnosed with AML along with a family history of myeloid malignancies. Germline testing confirmed a pathogenic variant in RUNX1 gene. Patient underwent myeloablative conditioning with a successful allogenic bone marrow transplant (BMT). The mutation specific test for the variant in RUNX1 was found negative. Conclusion: Genetic counselling helped in identifying FPD in the family, and, to identify the right donor for BMT.

Energy security (ES) has great impact on power grids. Therefore it is important to have power security service (PSS). The PSS should be designed to handle interference and interruption attack in the grid. The interference and interruption attack in the grid is handled by incursion-detection system (IDS). The IDS is the most obtainable strategy to sense and classify different security issues and abnormal issues that occur in power grids. Therefore the IDS have to be up to date with the latest issues that happened in the entire grid. The proposed concept illustrate the collection of data with reference to intrude-attacks in power-grid and to test and evaluate different machine-learning strategy to illustrate the different attacks and issues that happen in power system grid. The research work is illustrated with a modified J48 decision tree algorithm.

Copper based metallo drugs were prepared and their antibacterial, antifungal, molecular mechanism of [Cu(SAla)Phen]·H2O and [Cu(SAla)bpy]·H2O complexes were investigated. The [Cu(SAla)Phen]·H2O and [Cu(SAla)bpy]·H2O were derived from the Schiff base alanine salicylaldehyde. [Cu(SAla)Phen]·H2O showed noteworthy antibacterial and antifungal activity than the [Cu(SAla)bpy]·H2O and ligand alanine, salicylaldehyde. The [Cu(SAla)Phen]·H2O complex showed significant antibacterial activity against Salmonella typhi, Staphylococcus aureus, Salmonella paratyphi and the antifungal activity against Candida albicans and Cryptococcus neoformans in well diffusion assay. The mode of action of copper (II) complex was analyzed by DNA cleavage activity and in silico molecular docking. The present findings provide important insight into the molecular mechanism of copper (II) complexes in susceptible bacterial and fungal pathogens. These results collectively support the use of [Cu(SAla)Phen]·H2O complex as a suitable drug to treat bacterial and fungal infections.

This work investigates the use of Ti6Al4V as flow field plates in PEM-based electrolyzer stacks, utilizing its good corrosion resistance and high mechanical strength. The study explores the development of durable conductive coatings on Ti6Al4V surfaces. The coated surfaces are characterized by X-ray diffraction (XRD), showing the characteristic peaks of Pt deposited and the presence of Pt, PtO2, and TiO2 after thermal oxidation. Field emission scanning electron microscopy reveals a uniform Pt coating on Ti6Al4V with a thickness of 2–3 µm. Potentiodynamic studies revealed improved corrosion resistance with a corrosion current density of 2.1 µA·cm⁻2 in Ti6Al4V-PA-AD-TO compared to Ti6Al4V. Stability under 2 V vs. SHE for 5 h in a PEM water electrolyzer anodic environment is demonstrated, along with an evaluation of performance in a PEM electrolyzer single cell. The durability of the developed coating is assessed over 100 h in a single-cell setup, offering insights into cost-effective PEM-based electrolyzer stacks. The reduction of reliance on precious metals and the enhancement of durability provide a promising method for achieving economic viability in the production of hydrogen through water electrolysis. [ABSTRACT FROM AUTHOR]

Background A reliable indicator of long-term blood glucose control, glycosylated hemoglobin (HbA1c) shows the average blood glucose levels during the preceding 8–12 weeks. This study was conducted to determine if the admission HbA1c level of non-diabetic STEMI patients could predict their angiographic and short-term clinical outcomes. Methods In this single-center prospective observational analysis, 84 patients with ST segment elevation MI who were admitted between the ages of 18 and 75, representing both sexes, were included. The chi square test was used to determine the correlation between the MACE and other risk variables, such as symptoms, behavioral factors like smoking and tobacco use, hypertension, and hypercholesterolemia. The chi square test was used to determine whether CAG and HBA1c were associated. A statistically significant result was defined as one with a p-value of less than 0.05. Results When comparing MACE and pre-diabetes, 83% of the pre-diabetes group had MACE 3, whereas just 8% of the group with normal HbA1C levels had the same level. With a p-value of less than 0.001, the difference in MACE 3 between the two groups was statistically significant. Patients with greater HbA1C levels showed multiple vessel damage, and the effect was statistically significant when comparing pre-diabetes and CAG. Conclusion When compared to non-diabetic people, an abnormal glycometabolic condition as determined by HbA1c upon admission is linked to a greater incidence of MACE and coronary artery disease in non-diabetic STEMI patients. [ABSTRACT FROM AUTHOR]

Aim: The aim of this study is to detect in vitro adherence of Enterococcus faecalis to the infected dentinal tubules of human extracted teeth using confocal laser scanning microscope. Subjects and Methods: Roots from human premolar teeth (n = 40) were infected with E. faecalis strain the American Type Culture Collection 29212 in brain heart infusion for 21 days. After the experimental period, specimens were divided into two groups, Group A (n = 20), Group B (n = 20), and Group A specimens were stained with fluorescein diacetate dye for the detection of viability and adherence Group B were stained with acridine orange dye for detection of metabolic activity and adherence. Samples were washed, thoroughly sectioned and examined by confocal laser scanning microscopy. Computer-assisted determinants of fluorescence, bacterial viability, metabolic activity, and adherence were compared statistically. Results: E. faecalis was able to invade the dentinal tubules to a depth of 1–400 μm and adhere to 1–200 μm depth. Adherence (90%) was significantly higher in 1–100 μm using fluorescein diacetate and acridine orange dye. Conclusion: Adherence of E. faecalis as evaluated by confocal laser scanning microscope was highest at the depth of 1–100 μm which may have an impact on the shaping and cleaning procedures on the root canal.