Methods of synthesis of hydrogels … A review Akhtar, Muhammad Faheem; Hanif, Muhammad; Ranjha, Nazar Muhammad
Saudi pharmaceutical journal,
09/2016, Letnik:
24, Številka:
5
Journal Article
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Hydrogels are being investigated recently for the bioactive molecules (in particular pharmaceutical proteins) controlled release, such as matrices, and for the living cells encapsulation. ...Biodegradable nature of hydrogels has created much interest for drug delivery systems. The original three-dimensional structure disintegrates into nontoxic substances to ascertain an excellent biocompatibility of the gel. Chemical cross-linking is the highly resourceful method for the formation of hydrogels having an excellent mechanical strength. Cross-linkers used in hydrogel preparation should be extracted from the hydrogels before use due to their reported toxicity. Physically cross-linked methods for preparation of hydrogel are the alternate solution of cross-linker toxicity.
Deep neural networks (DNNs) have proliferated in most of the application domains that involve data processing, predictive analysis and knowledge inference. Alongside the need for developing highly ...performance-efficient DNN accelerators, there is an utmost need to improve the yield of the manufacturing process in order to reduce the per unit cost of the DNN accelerators. To this end, we present 'SalvageDNN', a methodology to enable reliable execution of DNNs on the hardware accelerators with permanent faults (typically due to imperfect manufacturing processes). It employs a fault-aware mapping of different parts of a given DNN on the hardware accelerator (subjected to faults) by leveraging the saliency of the DNN parameters and the fault map of the underlying processing hardware. We also present novel modifications in a systolic array design to further improve the yield of the accelerators while ensuring reliable DNN execution using 'SalvageDNN' and negligible overheads in terms of area, power/energy and performance. This article is part of the theme issue 'Harmonizing energy-autonomous computing and intelligence'.
Apigenin as an anticancer agent Imran, Muhammad; Aslam Gondal, Tanweer; Atif, Muhammad ...
Phytotherapy research,
August 2020, Letnik:
34, Številka:
8
Journal Article
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Apigenin is an edible plant‐derived flavonoid that has been reported as an anticancer agent in several experimental and biological studies. It exhibits cell growth arrest and apoptosis in different ...types of tumors such as breast, lung, liver, skin, blood, colon, prostate, pancreatic, cervical, oral, and stomach, by modulating several signaling pathways. Apigenin induces apoptosis by the activation of extrinsic caspase‐dependent pathway by upregulating the mRNA expressions of caspase‐3, caspase‐8, and TNF‐α. It induces intrinsic apoptosis pathway as evidenced by the induction of cytochrome c, Bax, and caspase‐3, while caspase‐8, TNF‐α, and B‐cell lymphoma 2 levels remained unchanged in human prostate cancer PC‐3 cells. Apigenin treatment leads to significant downregulation of matrix metallopeptidases‐2, −9, Snail, and Slug, suppressing invasion. The expressions of NF‐κB p105/p50, PI3K, Akt, and the phosphorylation of p‐Akt decreases after treatment with apigenin. However, apigenin‐mediated treatment significantly reduces pluripotency marker Oct3/4 protein expression which might be associated with the downregulation of PI3K/Akt/NF‐κB signaling.
Communities across the globe are grappling with the COVID-19 pandemic by leveraging their local wisdom, and the Buddhist Kampong in Sodong Hamlet is no exception. Buddhist Kampong has experienced ...minimal COVID-19 exposure, demonstrating a proficient response to the pandemic. However, this success story remains largely unknown to various stakeholders, necessitating comprehensive research to delineate and elucidate the intrinsic value of local wisdom and its assimilation process. Using an ethnographic approach, this two-year research project was carried out in Sodong Hamlet, Gelangkulon, Sampung Ponorogo, East Java, Indonesia. Primary and secondary sources were tapped, with research informants identified as traditional, religious, and community leaders. Data collection encompassed interviews, observations, and document recordings, all analyzed using an interactive model. The findings revealed a distinct value system within the Buddhist Kampong, shaping their approach to COVID-19 mitigation. This value system revolves around the principles of Memayu Hayuning Kulawarga, Memayu Hayuning Sasama, and Memayu Hayuning Bawana, influencing the community’s engagement in check-in rituals, care for sasomo and cooperation, and the restoration of padasan and diyang. The figures embodying this local wisdom guide community members in internalizing customs, religion, and parental teachings. The internalization process unfolds through exemplary habituation, socialization, and the cultivation of moral motivation, empowering citizens to navigate the challenges posed by the COVID-19 pandemic effectively.
In this study, we conduct a comprehensive physical analysis of topological indices for the Iron Disulfide (FeS2) network using a curve-fitting model. Iron Disulfide is a cubic compound. In ...metamorphic rock, sedimentary rock, and quartz veins, it is typically found in combination with other sulfides or oxides. The numerical properties of molecular structures are referred to as topological indices. There are several different kinds of topological indices, including those that are based on distance, degree, or counting, among other factors. The real process of creating a topological index involves turning a chemical structure into a numerical value. In this paper, we calculate the iron disulfide network topological indices using the degrees of vertices in a chemical network of Iron Disulfide (FeS2). Thereafter, we discovered the physical parameters of FeS2 production, such as heat of formation. We then fitted curves between the thermodynamic properties and several indices. Several techniques based on rationality, linearity, and nonlinearity were used to fit curves in MATLAB. These quantitative results imply that a variety of thermodynamic characteristics of semiconducting materials may be accurately predicted by topological indices. These findings have significant ramifications as they provide the groundwork for the application of topological indices in semiconducting network design and optimization, which might result in more effective and economical material creation.
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•A comprehensive review of perovskite anode and cathode materials for SOFC has been provided.•The selection of initial composition, dopants addition with critical challenges have been ...assessed.•Doping strategies for energy storge applications were highlighted.•The problems and future directions of dopants addition on SOFCs were critically analyzed.
Solid oxide fuel cells (SOFCs) have the potential to be used in energy conversion technology. Most of the studies aimed at modifications of anode concerning various issues such as component degradation, sulfur poisoning, and carbon deposition at high temperatures, hindering its applications at the industrial level. Different perovskite structure-related compounds are discussed in this article, which could be possible electrode materials in SOFCs. Literature also revealed the successful utilization of various cathode materials in a wide range of temperature in which cobalt-based materials exhibits higher conductivity than cobalt-free once. The selection of initial composition, dopants addition in different electrodes with critical challenges inherent to this material family have been assessed herein which play a vital role in enhanced electrochemical performance. The other aim of this review article is to provide some useful recommendations and prospective directions for designing future electrode materials of SOFCs. The review analysis is done based on different processing parameters and their effect on thermal expansion coefficient, electrical conductivity, mechanical and electrochemical properties, etc. In a nutshell, a detailed overview is critically analyzed for energy conversion and storage applications, which can open many gateways towards the advancement of SOFCs.
This study aims to test the effectiveness of internalizing the value of local wisdom with the Nampe Model in increasing the Covid-19 mitigation ability in IV grade elementary school students. This ...research used quantitative research in Sodong Hamlet and SDN Gelankulon IV for eight months. Then, the data collection technique used was authentic assessment techniques on affective, cognitive, and psychomotor aspects. The data obtained were analyzed by descriptive statistics using SPSS. The results show that the people in Dusun Sodong value local wisdom in mitigating Covid-19. These values include religious, moral, tolerance, cooperation, caring, and responsibility. The value of this local wisdom has the potential to be a source of social science studies. So, SDN Gelangkulon teachers need to internalise this study, especially for the IV grade student. The goal of the implementation is that the students can increase their abilities to mitigate Covid-19. Then, it also follows the core and basic competencies set by the curriculum. Teachers in internalizing the value of local wisdom of the Sodong Hamlet community use the Nampe Model. The average value of students’ abilities in mitigating Covid-19 using the Nampe Model = 78.67, the Indoctrination Model = 68.430 and the Open Model = 67.14. These results show that using the Nampe Model results in better and more effective results than the indoctrination model and the open model with a significance of 0.000 0.05. While the use of the indoctrination model and the open model almost have no difference because the significance is 0.570 0.05. The internalization of values with the Nampe Model makes students grow their well awareness to carry out Covid-19 mitigation.
Due to the deleterious effects of mercury on human health and natural ecosystems, high reactivity, non-degradability, extreme volatility and relative water and tissue solubility, it would consider as ...one of the most toxic environmental pollutants among the transition metals. In the present investigation, we have tried to summarized the several organic material based fluorescent sensor including rhodamine, boron-dipyrromethene (BODIPYs), thiourea, crown-ether, coumarine, squaraines, pyrene, imidazole, triazole, anthracene, dansyl, naphthalenedimide/ naphthalene/ naphthalimide, naphthyridine, iridium (III) complexes, polymeric materials, cyclodextrin, phthalic anhydride, indole, calix
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arene, chromenone, 1,8-naphthalimides, lysine, styrylindolium, phenothiazine, thiocarbonyl quinacridone, oxadiazole, triphenylamine–triazines, tetraphenylethene, peptidyl and semicarbazone for the trace mercury detection in the aqueous, aqueous–organic and cellular media. The present review provides a brief look over the previous development in the organic material based fluorescent sensor for mercuric ion detection. Furthermore, the ligand-metal binding stoichiometry, binding/association/dissociation constants and the detection limit by the receptors have been particularly highlighted which might be useful for the future design and development of more sensitive and robust fluorescent chemosensor/chemodosimeter for the mercuric ion detection.
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Abstract The study explores the intricate relationship between topological indices and the heat of formation in the benzyl sulfamoyl network. Topological indices of benzyl sulfamoyl networks are ...studied and also emphasize their properties statistically. The benzyl sulfamoyl has unique properties due to its crystalline structure and it is used in the form of artificial substance. We analyze the distributions and correlations of the benzyl sulfamoyl network with others by using statistical methods and also build a computational analysis for topological indices. The findings show a strong association between the variables, indicating that topological indices may be used to accurately predict thermodynamic characteristics and improve the effectiveness of molecular modelling and simulation procedures.
Abstract This paper explores the complex interplay between topological indices and structural patterns in networks of iron telluride ( FeTe ). We want to analyses and characterize the distinct ...topological features of ( FeTe ) by utilizing an extensive set of topological indices. We investigate the relationship that these indicators have with the network’s physical characteristics by employing sophisticated statistical techniques and curve fitting models. Our results show important trends that contribute to our knowledge of the architecture of the ( FeTe ) network and shed light on its physiochemical properties. This study advances the area of material science by providing a solid foundation for using topological indices to predict and analyses the behavior of intricate network systems. More preciously, we study the topological indices of iron telluride networks, an artificial substance widely used with unique properties due to its crystal structure. We construct a series of topological indices for iron telluride networks with exact mathematical analysis and determine their distributions and correlations using statistical methods. Our results reveal significant patterns and trends in the network structure when the number of constituent atoms increases. These results shed new light on the fundamental factors that influence material behavior, thus offering a deeper understanding of the iron telluride network and may contribute to future research and engineering of these materials.
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