In the modern business environment, characterized by rapid technological advancements and globalization, abetted by IoT and Industry 5.0 phenomenon, innovation is indispensable for competitive ...advantage and economic growth. However, many organizations are facing problems in its true implementation due to the absence of a practical innovation management framework, which has made the implementation of the concept elusive instead of persuasive. The present study has proposed a new innovation management framework labeled as “Absolute Innovation Management (AIM)” to make innovation more understandable, implementable, and part of the organization’s everyday routine by synergizing the innovation ecosystem, design thinking, and corporate strategy to achieve competitive advantage and economic growth. The current study used an integrative literature review methodology to develop the “Absolute Innovation Management” framework. The absolute innovation management framework links the innovation ecosystem with the corporate strategy of the firm by adopting innovation management as a strategy through design thinking. Thus, making innovation more user/human-centered that is desirable by the customer, viable for business and technically feasible, creating both entrepreneurial and customer value, and boosting corporate venturing and corporate entrepreneurship to achieve competitive advantage and economic growth while addressing the needs of IoT and Industry 5.0 era. In sum, it synergizes innovation, design thinking, and strategy to make businesses future-ready for IoT and industry 5.0 revolution. The present study is significant, as it not only make considerable contributions to the existing literature on innovation management by developing a new framework but also makes the concept more practical, implementable and part of an organization’s everyday routine.
Lycopene, belonging to the carotenoids, is a tetraterpene compound abundantly found in tomato and tomato-based products. It is fundamentally recognized as a potent antioxidant and a non-pro-vitamin A ...carotenoid. Lycopene has been found to be efficient in ameliorating cancer insurgences, diabetes mellitus, cardiac complications, oxidative stress-mediated malfunctions, inflammatory events, skin and bone diseases, hepatic, neural and reproductive disorders. This review summarizes information regarding its sources and uses amongst different societies, its biochemistry aspects, and the potential utilization of lycopene and possible mechanisms involved in alleviating the abovementioned disorders. Furthermore, future directions with the possible use of this nutraceutical against lifestyle-related disorders are emphasized. Its protective effects against recommended doses of toxic agents and toxicity and safety are also discussed.
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About half-century ago, human respiratory syncytial virus (hRSV) was observed in infants and children under age of five years. As the mechanism of its pathogenesis inside the host is ...still lacking, in this in-silico study we hypothesized that RSV might create miRNAs, which could target the genes associated with host cellular regulatory pathways, thus provide persistent refuge to virus.
Pre-miRNAs in RSV genome (accession no. NC_001803.1) were extracted through VMir software, and the identification of putative pre-miRNAs and mature miRNAs was accessed using iMiRNA-SSF and FOMmiR tool, respectively. Later, prediction of host specific target gene was accompanied by RNAhybrid tool. Moreover, bioinformatics analysis was done for the validation of target genes using microarray dataset (GSE80179). Lastly, Drug-gene interaction database was used to explore the small drug like candidate against RSV infection.
Searching RSV genome for their pre-miRNAs yielded 15 pre-miRNAs like sequence with length vary for each pre-miRNA sequences. FOMmiR tool revealed a total of 7 mature miRNAs from 6 real pre-miRNA hairpins. Functional enrichment analysis of targeted genes, revealed their involvement in many biological pathways which facilitate their pathogenesis in host. The microarray dataset (GSE80179) was analyzed to validate altered expression level of target genes and found genes linked with pathways such as T-cell activation, apoptosis, NF-kappa B signaling, cell differentiation and autophagy. CYCS, CTLA4, and BTK were chosen as possible targets of 21 drugs. A total of 21 drugs were explored using DGIdb that might have potential to treat RSV patient.
This study updates the information and yield a new perspective in context of understanding the pathogenesis of RSV. Our study presents novel miRNAs and their targeted hub genes, which upon experimental validation could facilitate in developing new therapeutics against RSV infection. In vivo and in vitro investigation of miRNAs and pathway interaction is essential to delineate the specific roles of the novel miRNAs, which may help to reveal the mechanisms behind the pathogenesis. Based on the hub genes and miRNAs, experimental models may be designed in terms of the detection of pathogenesis, evaluation of risk, and determining the targeted therapies of RSV infections.
White sesame seed oil (WSSO) has been used in cooking and food preparations for centuries. It has many purported health benefits and may be a promising nutraceutical. The primary purpose of this ...study was to examine the effects of WSSO on fasting blood glucose (GLU) and insulin (INS) in male Sprague-Dawley rats with chemically induced diabetes. A secondary aim was to explore other hematological biomarkers of hepatic, cardiac, and renal function. Sixty-three male Sprague-Dawley rats were randomized into standard diet groups, normal control (NCON) (n = 21) and diabetic control (DCON) (n = 21), and a diabetic sesame oil (DSO) (n = 21) group, which were fed a diet containing 12% WSSO. Blood samples were analyzed at 0, 30, and 60 days. Differences between groups and across days were assessed with two-way repeated measures analysis of variance. At baseline, GLU and INS were similar in both diabetic groups, mean 248.4 ± 2.8 mg/dL and mean 23.4 ± 0.4 μU/mL, respectively. At 60 days, GLU was significantly (P < .05) higher in DCON (298.0 ± 2.3 mg/dL) compared with DSO (202.1 ± 1.0 mg/dL). INS showed similar favorable trends after WSSO supplementation. Consumption of WSSO significantly improved glucose control and other biomarkers of hepatic stress, as well as cardiac and renal health. WSSO may be a viable functional food to help reduce the detrimental effects of diabetes.
About half-century ago, Immunoglobulin A nephropathy (IgAN) was discovered as a complicated disease with frequent clinical symptoms. Until now, exact mechanism underlying the pathogenesis of IgAN is ...poorly known. Therefore, current study was aimed to understand the molecular mechanism of IgAN by identifying the key miRNAs and their targeted hub genes. The key miRNAs might contribute to the diagnosis and therapy of IgAN, and could turn out to be a new star in the field of IgAN.
The microarray datasets were downloaded from Gene Expresssion Omnibus (GEO) database and analyzed using R package (LIMMA) in order to obtain differential expressed genes (DEGs). Then, the hub genes were identified using cytoHubba plugin of cytoscpae tool and other bioinformatics approaches including protein-protein interaction (PPI) network analysis, module analysis, and miRNA-hub gene network construction was also performed.
A total of 348 DEGs were identified, of which 107 were upregulated genes and 241 were downregulated genes. Subsequently, the 12 overlapped genes were predicted from cytoHubba, and considered as hub genes. Moreover, a network among miRNA-hub genes was created to explore the correlation between the hub genes and their targeted miRNAs. Network construction ultimately lead to the identification of nine gene named FN1, EGR1, FOS, JUN, SERPINE1, MMP2, ATF3, MYC, and IL1B and one novel key miRNA namely, has-miR-144-3p as biomarker for diagnosis and therapy of IgAN.
This study updates the information and yield a new perspective in context of understanding the pathogenesis and development of IgAN. In future, key miRNAs might be capable of improving the personalized detection and therapies for IgAN. In vivoandin vitroinvestigation of miRNAs and pathway interaction is essential to delineate the specific roles of the novel miRNAs, which may help to further reveal the mechanisms underlying IgAN.
IntroductionType 2 diabetes (T2D) is emerging as a major global health concern. An associated condition, dyslipidemia, which acts as a significant modifiable risk factor for T2D, exhibits variations ...across different ethnicities and socioeconomic backgrounds. While many patients rely on metformin as their primary treatment, it does not always effectively control hyperglycemia. As a result, there is a growing need for adjunctive treatments, including sodium-glucose cotransporter-2 (SGLT2) and dipeptidyl peptidase-4 (DPP-4) inhibitors. This study evaluated the comparative effects of empagliflozin (an SGLT2 inhibitor) and sitagliptin (a DPP-4 inhibitor), both combined with metformin, on the lipid profiles of individuals with T2D.MethodsOver six months at the Federal Government Polyclinic Hospital in Islamabad, we enrolled 126 participants diagnosed with T2D. Using a nonprobability consecutive sampling technique, we divided them into two groups. Group A received metformin and empagliflozin, while Group B was administered metformin and sitagliptin. We assessed their fasting lipid profiles three months into the treatment.ResultsBoth groups consisted of 63 patients each. We observed that those in Group B, treated with sitagliptin and metformin, demonstrated a more significant reduction in total cholesterol and low-density lipoprotein-C levels than those in Group A, treated with empagliflozin and metformin. This difference proved to be statistically meaningful.ConclusionThe combination of sitagliptin and metformin showed enhanced benefits in lipid profile management compared to the combination of empagliflozin and metformin in patients with T2D. This discovery underscores the need for holistic treatment modalities that factor in blood glucose levels and cardiovascular health.
Introduction: Dual antiplatelet therapy (DAPT), vital post-percutaneous coronary intervention (PCI) to prevent cardiovascular events (CVEs) via aspirin and P2Y12 receptor antagonists, faces ...controversy when combined with proton pump inhibitors (PPIs) due to potential impacts on bleeding risk and antiplatelet efficacy, prompting the need for further research to determine optimal co-administration practices. This work evaluated the effects of PPIs on CVEs and inflammatory factors in patients with upper gastrointestinal bleeding (UGIB) undergoing DAPT after PCI.Materials and methods: The data of 166 patients who underwent PCI and developed UGIB while on DAPT from April 2021 to April 2023 were retrospectively analyzed. The patients were rolled into two groups: those who received PPI treatment and those who did not, namely, the PPI and non-PPI group, respectively. Clinical data from these patients was analyzed, intending to provide relevant theoretical evidence for clinical practice. Furthermore, the occurrence of CVEs and the levels of inflammatory factors of patients in all groups were statistically analyzed.Results: Melena was the most common clinical symptom observed in all UGIB patients. The incidence of CVEs in the PPI group was not greatly different from that in the non-PPI group (P>0.05). The distribution of CVEs occurrence among different PPI drugs also exhibited no obvious difference (P>0.05). The PPI group exhibited greatly lower C-reactive protein (CRP) and tumor necrosis factor α (TNF-α) based on the non-PPI group (P<0.05).Conclusion: Melena was the most frequent clinical manifestation in UGIB patients. The use of PPIs did not increase the risk of CVEs, and different PPI drugs did not affect the occurrence of CVEs. Furthermore, PPIs lowered CRP and TNF-α levels in serum of these patients.
In the era of digital transformation, optimizing supply chains is paramount for businesses to remain competitive. This research article delves into the creation of an enhanced supply chain algorithm ...for ERP systems using the Ant Colony Optimization (ACO), Genetic, and Floyd-Warshall algorithms. Through a comparative analysis using dummy data from two companies, Alco and Palto, we demonstrate the efficacy of our approach.
In the era of digitization, big data analytics has become essential for various sectors. Traditional computing systems often struggle to handle the demands of big data. This article explores cloud ...computing as a viable solution, emphasizing its scalability and flexibility. Through a comprehensive literature review, two case studies were analyzed, showcasing the advantages of cloud computing in big data processing. The findings reveal that cloud platforms not only enhance computational efficiency but also offer practical benefits for businesses, aiding in informed decision-making. As big data continues to grow, cloud computing stands out as a pivotal tool in addressing its challenges and harnessing its potential.
This research paper explores advanced machine learning algorithms and their applications across various industries. It discusses different types of algorithms, such as classification analysis, ...regression, data clustering, feature engineering, association rule learning, reinforcement learning, and deep learning. The paper highlights their advantages and limitations, emphasizing the importance of selecting the right algorithm for specific use cases. Additionally, challenges in applying machine learning algorithms and potential solutions are discussed. The paper also provides insights into optimizing these algorithms for specific problems and best practices for their development and deployment in software applications.
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