Clustering large-scale data based on modified affinity propagation algorithm

Traditional clustering algorithms are no longer suitable for use in data mining applications that make use of large-scale data. There have been many large-scale data clustering algorithms proposed in recent years, but most of them do not achieve clustering with high quality. Despite that Affinity Propagation (AP) is effective and accurate in normal data clustering, but it is not effective for large-scale data. This paper proposes two methods for large-scale data clustering that depend on a modified version of AP algorithm. The proposed methods are set to ensure both low time complexity and good accuracy of the clustering method. Firstly, a data set is divided into several subsets using one of two methods random fragmentation or K-means. Secondly, subsets are clustered into K clusters using K-Affinity Propagation (KAP) algorithm to select local cluster exemplars in each subset. Thirdly, the inverse weighted clustering

The preventive effects of ondansetron on chemotherapy-induced nausea and vomiting in adult cancer patients: systematic review from ClinicalTrials.gov

Purpose: Cancer is a neoplastic transformation that affects tissue. Among the many complications associated with cancer treatment, managing the distressing side effects of chemotherapy-induced nausea and vomiting (CINV) is of main concern. Ondansetron is a selective serotonin 5-HT3 receptor antagonist that has emerged as an essential medication against CINV in adult cancer patients. Ondansetron efficacy and tolerability have made it a primary medication in CINV prophylaxis and treatment regimens. The study aims to offer a detailed overview of ondansetron’s effectiveness, safety, and impact on patients’ lives, ultimately contributing to the ongoing research to enhance the quality of cancer care.Methods: On 4 September 2023, a search was conducted of the ClinicalTrials.gov database using the search terms “cancer,” “ondansetron,” and “Zofran.” Inclusion and exclusion criteria were defined to select relevant clinical trials. Included trials were completed with results and interventional studies that assessed the preventive effects of ondansetron on CINV in adult cancer patients.Results: A total of 23 clinical trials were identified, with only 13 of them focusing on investigating the preventive effects of ondansetron on CINV in adult cancer patients. The collective findings from these trials showed an effective management of CINV using ondansetron.Conclusion: Through a comprehensive overview of clinical trials, the use of ondansetron in adult cancer patients represents a significant improvement in CINV management

Effect of sildenafil citrate on prediabetic and diabetic albino rats treated with metformin

Diabetes Miletus (DM) is a global epidemic disease. It is estimated that there are already 415 million adults aged 20–79 years diabetics worldwide. Sildenafil citrate is a phosphodiesterase type 5 (PDE5) inhibitor, which increases cyclic guanosine monophosphate (cGMP) and metformin (MET) is a biguanide used for the treatment of type 2 diabetes which increases peripheral insulin sensitivity. Aim: This study aims to assess the effect of sildenafil citrate and metformin on lipid profile and glycemic control in diabetic and prediabetic albino rats. Materials and methods: Adult male albino rats are used and divided into nine groups each group consists of 10 rats, diabetes is induced by feeding a high-fat diet (HFD) for an initial period of 2 weeks followed by a single intraperitoneal injection of (35 mg/kg) Streptozotocin. Prediabetes is induced by feeding (HFD) and glucose in water for a period of 2 weeks. Sildenafil was given in a dose of (5 &10 mg/kg/day orally for 4 weeks), metformin was given in a dose of (50 &100 mg/kg/day orally for 4 weeks) using oral gavages to normal healthy rats, diabetic and prediabetic rats. Blood samples were collected after 4 weeks of treatment in all experimental groups. Results: Combined administration of sildenafil and metformin on diabetic rats improving hyperglycemia, oxidative stress, and hyperlipidemia induced by streptozotocin than the administration of metformin or sildenafil alone. Conclusion: Sildenafil has beneficial effects against some diabetic complications. The present study showed that sildenafil with metformin has beneficial effects against diabetic complications

Effect of sildenafil citrate on prediabetic and diabetic albino rats treated with metformin

Diabetes Miletus (DM) is a global epidemic disease. It is estimated that there are already 415 million adults aged 20–79 years diabetics worldwide. Sildenafil citrate is a phosphodiesterase type 5 (PDE5) inhibitor, which increases cyclic guanosine monophosphate (cGMP) and metformin (MET) is a biguanide used for the treatment of type 2 diabetes which increases peripheral insulin sensitivity. Aim: This study aims to assess the effect of sildenafil citrate and metformin on lipid profile and glycemic control in diabetic and prediabetic albino rats. Materials and methods: Adult male albino rats are used and divided into nine groups each group consists of 10 rats, diabetes is induced by feeding a high-fat diet (HFD) for an initial period of 2 weeks followed by a single intraperitoneal injection of (35 mg/kg) Streptozotocin. Prediabetes is induced by feeding (HFD) and glucose in water for a period of 2 weeks. Sildenafil was given in a dose of (5 &10 mg/kg/day orally for 4 weeks), metformin was given in a dose of (50 &100 mg/kg/day orally for 4 weeks) using oral gavages to normal healthy rats, diabetic and prediabetic rats. Blood samples were collected after 4 weeks of treatment in all experimental groups. Results: Combined administration of sildenafil and metformin on diabetic rats improving hyperglycemia, oxidative stress, and hyperlipidemia induced by streptozotocin than the administration of metformin or sildenafil alone. Conclusion: Sildenafil has beneficial effects against some diabetic complications. The present study showed that sildenafil with metformin has beneficial effects against diabetic complications

Combining IWC and PSO to Enhance Data Clustering

In this paper we propose a clustering method based on combination of the Particle Swarm Optimization (PSO) and the inverse weighted clustering algorithm IWC, It is shown how PSO can be used to find the centroids of a user specified number of clusters and basically uses PSO to refine the clusters formed by IWC. Since PSO algorithm was showed to successfully converge during the initial stages of a global search, but around global optimum, the search process will become very slow. On the contrary, IWC algorithm can achieve faster convergence to optimum solution, Experimental results show that the proposed technique has much potential to improve the clustering process

Noise Effects on a Proposed Algorithm for Signal Reconstruction and Bandwidth Optimization

The development of wireless technology in recent years has increased the demand for channel resources within a limited spectrum. The system\u27s performance can be improved through bandwidth optimization, as the spectrum is a scarce resource. To reconstruct the signal, given incomplete knowledge about the original signal, signal reconstruction algorithms are needed. In this paper, we propose a new scheme for reducing the effect of adding additive white Gaussian noise (AWGN) using a noise reject filter (NRF) on a previously discussed algorithm for baseband signal transmission and reconstruction that can reconstruct most of the signal’s energy without any need to send most of the signal’s concentrated power like the conventional methods, thus achieving bandwidth optimization. The proposed scheme for noise reduction was tested for a pulse signal and stream of pulses with different rates (2, 4, 6, and 8 Mbps) and showed good reconstruction performance in terms of the normalized mean squared error (NMSE) and achieved an average enhancement of around 48%. The proposed schemes for signal reconstruction and noise reduction can be applied to different applications, such as ultra-wideband (UWB) communications, radio frequency identification (RFID) systems, mobile communication networks, and radar systems

Antioxidant and cardioprotective activity of Stachys schimperi Vatke against doxorubicin-induced cardiotoxicity

AbstractCardiotoxicity is one of the major side effects of anthracycline antibiotics. Most studies implicated increased oxidative stress as the major determinant of doxorubicin (DOX) cardiotoxicity. The aim of the current investigation was to study the possible cardioprotective effect of Stachys schimperi Vatke (family Lamiaceae) on DOX-induced cardiotoxicity in rats based on biochemical and histopathological parameters. The phenolic profile of the methanol extract was determined qualitatively by HPLC. Isoscutellarein 7-O-[2″-O-(6″′-acetyl)-β-d-allopyranosyl]-β-d-glucopyranoside (compound 1) was isolated and identified from EB fraction as a major constituent for the first time from this Stachys species. The methanolic extract and the combined EtOAc and n-butanol fractions (EB) as well as compound 1 showed prominent free radical scavenging activity when assessed by the DPPH method. The methanolic extract showed moderate protection against DOX-induced alteration in cardiac oxidative stress markers; GSH and MDA, and cardiac serum markers; CK-MB and LDH activities. Additionally, histopathological study denoted mild protection against DOX-induced cardiotoxicity.It was concluded that Stachys schimperi Vatke methanolic extract protected against DOX-induced cardiotoxicity, at least in part, by virtue of its antioxidant activity

Meroterpenoids: A Comprehensive Update Insight on Structural Diversity and Biology.

Funder: This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding ProgramMeroterpenoids are secondary metabolites formed due to mixed biosynthetic pathways which are produced in part from a terpenoid co-substrate. These mixed biosynthetically hybrid compounds are widely produced by bacteria, algae, plants, and animals. Notably amazing chemical diversity is generated among meroterpenoids via a combination of terpenoid scaffolds with polyketides, alkaloids, phenols, and amino acids. This review deals with the isolation, chemical diversity, and biological effects of 452 new meroterpenoids reported from natural sources from January 2016 to December 2020. Most of the meroterpenoids possess antimicrobial, cytotoxic, antioxidant, anti-inflammatory, antiviral, enzyme inhibitory, and immunosupressive effects

Regulation of TNF-α and NF-κB activation through the JAK/STAT signaling pathway downstream of histamine 4 receptor in a rat model of LPS-induced joint inflammation.

Histamine 4 receptor (H4R) is a novel target for the pharmacological modulation of histamine-mediated immune signals during inflammatory diseases. The purpose of this study was to assess the effects of the H4R agonist 4-methylhistamine dihydrochloride (4-MeH) and antagonist JNJ7777120 (JNJ) in the inflamed rat knee. Animals were fasted for 18h before a single dose of 4-MeH or JNJ (30mg/kg) was administered intraperitoneally (i.p.), both followed by intra-articular (i.a.) injection of LPS 2h later. Blood and synovial fluid were collected after a short incubation period and TNF-α, NF-κB, and IkB-α levels were measured via flow cytometry. Additionally, we assessed the effects of H4R engagement on the expression of IL-1β, TNF-α, and NF-κB mRNAs and the protein levels of TNF-α, NF-κB, JAK-1, and STAT-3 in the inflamed knee tissue. These results revealed increased TNF-α and NF-κB expression and decreased IkB-α levels in both the LPS alone and 4-MeH treated groups in whole blood and synovial fluid. Further, IL-1β, TNF-α, and NF-κB mRNA levels were significantly increased and western blot analysis confirmed increased expression of TNF-α, NF-κB, JAK-1, and STAT-3 in both LPS and 4-MeH treatment groups. Furthermore, these increases were completely inhibited in the inflamed knee tissue of the JNJ-treated group. Thus, the inhibition of inflammatory mediators and signaling pathways by the H4R antagonist JNJ suggests the anti-arthritic importance of this molecule