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Rishabha Malviya,1,* Shakshi Raj,1,* Shivkanya Fuloria,2,* Vetriselvan Subramaniyan,3,* Kathiresan Sathasivam,4 Usha Kumari,5 Dhanalekshmi Unnikrishnan Meenakshi,6 Omji Porwal,7 Darnal Hari Kumar,8 Amit Singh,1 Srikumar Chakravarthi,9 Neeraj Kumar Fuloria2,* 1Department of Pharmacy, SMAS, Galgotias University, Greater Noida, U.P., India; 2Department of Pharmaceutical Chemistry, Faculty of Pharmacy, AIMST University, Kedah, 08100, Malaysia; 3Department of Pharmacology, Faculty of Medicine, Bioscience and Nursing, MAHSA University, Kuala Lumpur, 42610, Malaysia; 4Department of Biotechnology, Faculty of Applied Science, AIMST University, Kedah, 08100, Malaysia; 5Department of Physiology, Faculty of Medicine, AIMST University, Kedah, 08100, Malaysia; 6Department of Pharmacology, College of Pharmacy, National University of Science and Technology, Muscat, 130, Oman; 7Department of Pharmacognosy, Faculty of Pharmacy, Tishk International University, Erbil, 44001, KRG, Iraq; 8Department of Pathology, Jeffrey Cheah School of Medicine and Health Sciences, Monash University, Johor Bahru, 80200, Malaysia; 9Department of Pathology, Faculty of Medicine, Bioscience and Nursing, MAHSA University, Kuala Lumpur, 42610, Malaysia*These authors contributed equally to this workCorrespondence: Neeraj Kumar FuloriaDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, AIMST University, Kedah, 08100, MalaysiaTel +60 164037685Email neerajkumar@aimst.edu.myShivkanya FuloriaDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, AIMST University, Kedah, 08100, MalaysiaTel +60 143034057Email shivkanya_fuloria@aimst.edu.myPurpose: The present study was intended to fabricate chitosan (Ch)-tamarind gum polysaccharide (TGP) polyelectrolyte complex stabilized cubic nanoparticles of simvastatin and evaluate their potential against human breast cancer cell lines.Materials and Methods: The antisolvent precipitation method was used for formulation of nanoparticles. Factorial design (32) was utilized as a tool to analyze the effect of Ch and TGP concentration on particle size and entrapment efficiency of nanoparticles.Results: Formulated nanoparticles showed high entrapment efficiency (67.19± 0.42– 83.36± 0.23%) and small size (53.3– 383.1 nm). The present investigation involved utilization of two biological membranes (egg and tomato) as biological barriers for drug release. The study revealed that drug release from tomato membranes was retarded (as compared to egg membranes) but the release pattern matched that of egg membranes. All formulations followed the Baker–Lansdale model of drug release irrespective of the two different biological barriers. Stability studies were carried out for 45 days and exhibited less variation in particle size as well as a reduction in entrapment efficiency. Simvastatin loaded PEC stabilized nanoparticles exhibited better control on growth of human breast cancer cell lines than simple simvastatin. An unusual anticancer effect of simvastatin nanoparticles is also supported by several other research studies.Conclusion: The present study involves first-time synthesis of Ch-TGP polyelectrolyte complex stabilized nanoparticles of simvastatin against MCF-7 cells. It recommends that, in future, theoretical modeling and IVIVC should be carried out for perfect designing of delivery systems.Keywords: polysaccharide, polyelectrolyte, cubic nanoparticles, simvastatin, breast cancer, tamarind

Sheba R David,1 Nurafiqah Malek,1 Abdul Hanif Mahadi,2 Srikumar Chakravarthi,3 Rajan Rajabalaya1 1PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei Darussalam; 2Centre for Advanced Material and Energy Sciences (CAMES), Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei Darussalam; 3School of Medicine, Perdana University, Jalan MAEPS Perdana, Serdang, Selangor, Malaysia Background: Peritonitis is the most serious complication of peritoneal dialysis. Staphylococcus aureus infections could lead to peritonitis which causes reversal of peritoneal dialysis treatment back to hemodialysis. The aim of this study was to develop a controlled release silicone adhesive-based mupirocin patch for prophylactic effect and analyze its antibacterial effectiveness against S. aureus.Methods: The matrix patches were prepared by using different polymers, with and without silicone adhesive, dibutyl sebacate and mupirocin. The patches were characterized for mechanical properties, drug content, moisture content, water absorption capacity and Fourier transform infrared spectrum. In vitro release studies were performed by using Franz diffusion cell. In vitro disk diffusion assay was performed on the Mueller–Hinton Agar plate to measure the zone of inhibition of the patches. The in vivo study was performed on four groups of rats with bacterial counts at three different time intervals, along with skin irritancy and histopathologic studies. Results: The patches showed appropriate average thickness (0.63–1.12 mm), tensile strength (5.08–10.08 MPa) and modulus of elasticity (21.53–42.19 MPa). The drug content ranged from 94.5% to 97.4%, while the moisture content and water absorption capacities at two relative humidities (75% and 93%) were in the range of 1.082–3.139 and 1.287–4.148 wt%, respectively. Fourier transform infrared spectra showed that there were no significant interactions between the polymer and the drug. The highest percentage of drug release at 8 hours was 47.94%. The highest zone of inhibition obtained was 28.3 mm against S. aureus. The in vivo studies showed that the bacterial colonies were fewer at 1 cm (7×101 CFU/mL) than at 2 cm (1.3×102 CFU/mL) over a 24-hour period. The patches were nonirritant to the skin, and histopathologic results also showed no toxic or damaging effects to the skin. Conclusion: The in vitro and in vivo studies indicated that controlled release patches reduced the migration of S. aureus on the live rat skin effectively, however, a longer duration of study is required to determine the effectiveness of the patch on a suitable peritonitis-induced animal model. Keywords: transdermal delivery, matrix patch, peritonitis, antibacterial, dialysis infection, histopathology

In the global scenario one of the important goals for sustainable development in industrial field is innovate new technology, and invest in building infrastructure. All the developed and developing countries focus on building resilient infrastructure and promote sustainable developments by fostering innovation. At this juncture the cloud computing has become an important information and communication technologies model influencing sustainable development of the industries in the developing countries. As part of the innovations happening in the industrial sector, a new concept termed as ‘smart manufacturing’ has emerged, which employs the benefits of emerging technologies like internet of things and cloud computing. Cloud services deliver an on-demand access to computing, storage, and infrastructural platforms for the industrial users through Internet. In the recent era of information technology the number of business and individual users of cloud services have been increased and larger volumes of data is being processed and stored in it. As a consequence, the data breaches in the cloud services are also increasing day by day. Due to various security vulnerabilities in the cloud architecture; as a result the cloud environment has become non-resilient. To restore the normal behavior of the cloud, detect the deviations, and achieve higher resilience, anomaly detection becomes essential. The deep learning architectures-based anomaly detection mechanisms uses various monitoring metrics characterize the normal behavior of cloud services and identify the abnormal events. This paper focuses on designing an intelligent deep learning based approach for detecting cloud anomalies in real time to make it more resilient. The deep learning models are trained using features extracted from the system level and network level performance metrics observed in the Transfer Control Protocol (TCP) traces of the simulation. The experimental results of the proposed approach demonstrate a superior performance in terms of higher detection rate and lower false alarm rate when compared to the Support Vector Machine (SVM). [ABSTRACT FROM AUTHOR]

In today's world, healthcare has become extremely important because of the spread of novel corona virus. Health issues not only affect the quality of life of a person but also influences the country's economy. The Internet of Things (IoT) is becoming a new revolution in the Internet as a fast-growing research topic, especially in the health field. With the help of Internet of things various resources can be connected to improve the quality of life. The proposed system presents a Healthcare monitoring system that is embedded with sensors, the system monitors the vital signs of a person. The data is acquired with the help of sensors and sent to Arduino that is the microcontroller which will process and analyze the data. This analyzed data is stored on cloud for future reference. This data will be used to know the condition of the patient. And it will alert the patient's relatives and doctors in crunch situation with a text message to the mobile phone,. [ABSTRACT FROM AUTHOR]

Melasma, a chronic pigmentary skin condition mainly affecting the face, remains a challenge despite the availability of several options for treatment. Many melasma patients are not satisfied with treatment outcomes. Tranexamic acid (TXA), an anti-fibrinolytic drug has shown promising results in patients with melasma. Evidence from several clinical studies has surfaced on efficacy and tolerability of TXA in these patients. It can be used as monotherapy or adjuvant with other therapies. Currently, there is no published consensus or guideline document for its use in the treatment of melasma. TXA is available for oral use, topical use as well as an injection. In this article, a consensus of Indian experts is prepared based on the available literature and experience with use of oral TXA in melasma. This review article might help clinicians for use of oral TXA appropriately while treating melasma.

In this work we present an investigation of the effect of oxide thickness on annealed B diffusion profiles. Experiments were specifically designed to determine the effect of varying oxide thickness on the B diffusion profile after annealing. Boron was implanted through a 50 Å screen oxide. Implant oxide was etched to varying degrees on different samples resulting in screen oxide thickness from 0 to 50 Å. On samples where the screen oxide was completely etched away, cap oxide was deposited with thickness varying from 0 to 50 Å. The implanted wafers were then spike annealed at 1050 °C. We found that the thicker the oxide during annealing, the deeper the B diffusion profile. A model of the Si–SiO2 system based on the interactions of B dopant atoms and silicon interstitials with SiO2 films is proposed to explain the experimental observations. The model takes into account the segregation of Si interstitials at the Si/SiO2 interface and the diffusion of that Si in the oxide. [ABSTRACT FROM AUTHOR]

The effect of oxide thickness on annealed B diffusion profiles is investigated. A model of the Si-SiO2 system based on the interactions of B dopant atoms and silicon interstitials with SiO2 films is described to explain the experimental observations that thicker the oxide during annealing, the deeper the B diffusion profile.