2,697 research outputs found

    Pendidikan IPS sebagai “Synthetic Discipline”: Kajian Epistemologis Atas Pemikiran Nu\u27man Somantri

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    Pemikiran seorang atau kelompok pakar merupakan bagian integral dalam dinamika sebuah disiplin ilmu, dan kajian terhadapnya telah menjadi concern dalam berbagai disiplin ilmu. Penelitian ini mengkaji secara epistemologis pemikiran Somantri tentang PIPS sebagai ‘synthetic discipline\u27. Penelitian bersifat kualitatif-interpretif dan menggunakan sumber data primer dan sekunder dengan teknik anotasi bibliografis dan reviu literatur serta dianalisis dengan teknik analisis konten kualitatif. Hasil penelitian menunjukkan bahwa secara epistemologis, PIPS dalam pemikiran Somantri dikonseptualisasi sebagai sebuah disiplin ilmu (DPIPS) dan program pendidikan disiplin ilmu (PDIPS) terintegrasi, hasil rekayasa sinergistis dari dua atau lebih disiplin ilmu yang setara untuk tujuan PIPS. PIPS sebagai disiplin ilmu terintegrasi adalah identitas, jati-diri, ciri khas, dan faculty culture FPIPS dan pascasarjana PIPS. PIPS sebagai DPIPS memiliki status akademik sebagai advance knowledge, middle studies, dan primary structure. PIPS sebagai program PDIPS memiliki status akademik sebagai PDIPS untuk jenjang pendidikan tinggi, dan PDIPS untuk jenjang pendidikan sekolah

    Radiation induced tumor lysis syndrome in patients with leukemia

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    Tumour lysis syndrome is a catastrophic complica­lion of treatment of certain neoplasms. It is usually seen with the tumours that have high growth fractions, increased bulk and extreme sensitivity to cytotoxic therapy. Most commonly it occurs in association with hematologic malignancies such as lymphomas and leukaemias. Rarely it has been observed with solid tumours like small cell lung cancer, seminoma and carcinoma of the breast. The syndrome develops due to massive cell lysis occurring within a few hours to a few days of starting the cytotoxic therapy. It is characterized by hyperuricemia, hyperkalemia, hyperphosphatemia and hypocalcaemia. Acute renal failure, cardiac arrhyth­mias and sudden death may occur. Tumour lysis syndrome has hitherto not been reported as a complica­lion of radiotherapy only. We recently observed a patient with a diagnosis of chronic myeloid leukaemia who received splenic irradiation for massive splenomegaly and developed full-blown tumour lysis syndrome. Pathogenesis and clinical implications are discussed

    Shell game optimization:A novel game-based algorithm

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    Energy Commitment for a Power System Supplied by Multiple Energy Carriers System using Following Optimization Algorithm

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    In today’s world, the development and continuation of life require energy. Supplying this energy demand requires careful and scientific planning of the energy provided by a variety of products, such as oil, gas, coal, electricity, etc. A new study on the operation of energy carriers called Energy Commitment (EC) is proposed. The purpose of the EC is to set a pattern for the use of energy carriers to supply energy demand, considering technical and economic constraints. EC is a constrained optimization problem that can be solved by using optimization methods. This study suggests the Following Optimization Algorithm (FOA) to solve the EC problem to achieve technical and economic benefits. Minimizing energy supply costs for the total study period is considered as an objective function. The FOA simulates social relationships among the community members who try to improve their community by following each other. Simulation is carried out on a 10-unit energy system supplied by various types of energy carriers that includes transportation, agriculture, industrial, residential, commercial, and public sectors. The results show that the optimal energy supply for a grid with 0.15447 Millions of Barrels of Oil Equivalent (MBOE) of energy demand costs 9.0922 millions dollar for a 24-h study period. However, if the energy supply is not optimal, the costs of operating energy carriers will increase and move away from the optimal economic situation. The economic distribution of electrical demand between 10 power plants and the amount of production units per hour of the study period is determined. The EC outputs are presented, which include an appropriate pattern of energy carrier utilization, energy demand supply costs, appropriate combination of units, and power plant production. The behavior and process of achieving the answer in the convergence curve for the implementation of FOA on EC indicates the exploration and exploitation capacity of FOA. Based on the simulated results, EC provides more information than Unit Commitment (UC) and analyzes the network more efficiently and deeply.Peer ReviewedPostprint (published version

    FREE VIBRATION ANALYSIS OF STIFFENED CONICAL SHELL

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    This paper presents a procedure for the free vibration analysis of stiffened conical shell by the finite element method. The element used is a modified eight-node superparametric shell element. The effects of the number and cross-section area of stiffeners on the conical shells were analyzed. The results showed that increasing the number of stiffeners and their cross-'i'ectional area tend to increase the natural frequency of the conical shell. These results are iompared with available research results and those obtained from MSC\NASTRAN

    Quantum information with structured light

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    We investigate structured photons as carriers of quantum information. We describe our implementation of quantum cryptography with orbital angular momentum, and present our results on efficient implementation of quantum state tomography for structured light fields

    TAT-peptide conjugated repurposing drug against SARS-CoV-2 main protease (3CLpro): potential therapeutic intervention to combat COVID-19

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    The Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that originated in Chinese city of Wuhan has caused around 906,092 deaths and 28,040,853 confirmed cases worldwide (WHO, 11 September, 2020). In a life-threatening situation, where there is no specific and licensed anti-COVID-19 vaccine or medicine available; the repurposed drug might act as a silver bullet. Currently, more than 211 vaccines, 80 antibodies, 31 antiviral drugs, 35 cell-based, 6 RNA-based and 131 other drugs are in clinical trials. It is therefore utter need of the hour to develop an effective drug that can be used for the treatment of COVID-19 before a vaccine can be developed. One of the best-characterized and attractive drug targets among coronaviruses is the main protease (3CL^{pro}). Therefore, the current study focuses on the molecular docking analysis of TAT-peptide^{47–57} (GRKKRRQRRRP)-conjugated repurposed drugs (i.e., lopinavir, ritonavir, favipiravir, and hydroxychloroquine) with SARS-CoV-2 main protease (3CL^{pro} to discover potential efficacy of TAT-peptide (TP) - conjugated repurposing drugs against SARS-CoV-2. The molecular docking results validated that TP-conjugated ritonavir, lopinavir, favipiravir, and hydroxychloroquine have superior and significantly enhanced interactions with the target SARS-CoV-2 main protease. In-silico approach employed in this study suggests that the combination of the drug with TP is an excelling alternative to develop a novel drug for the treatment of SARS-CoV-2 infected patients. The development of TP based delivery of repurposing drugs might be an excellent approach to enhance the efficacy of the existing drugs for the treatment of COVID-19. The predictions from the results obtained provide invaluable information that can be utilized for the choice of candidate drugs for in vitro, in vivo and clinical trials. The outcome from this work prove crucial for exploring and developing novel cost-effective and biocompatible TP conjugated anti-SARS-CoV-2 therapeutic agents in immediate future

    Phytochemical Profile, Biological Properties, and Food Applications of the Medicinal Plant Syzygium cumini

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    Syzygium cumini, locally known as Jamun in Asia, is a fruit-bearing crop belonging to the Myrtaceae family. This study aims to summarize the most recent literature related to botany, traditional applications, phytochemical ingredients, pharmacological activities, nutrition, and potential food applications of S. cumini. Traditionally, S. cumini has been utilized to combat diabetes and dysentery, and it is given to females with a history of abortions. Anatomical parts of S. cumini exhibit therapeutic potentials including antioxidant, anti-inflammatory, analgesic, antipyretic, antimalarial, anticancer, and antidiabetic activities attributed to the presence of various primary and secondary metabolites such as carbohydrates, proteins, amino acids, alkaloids, flavonoids (i.e., quercetin, myricetin, kaempferol), phenolic acids (gallic acid, caffeic acid, ellagic acid) and anthocyanins (delphinidin-3,5-O-diglucoside, petunidin-3,5-O-diglucoside, malvidin-3,5-O-diglucoside). Different fruit parts of S. cumini have been employed to enhance the nutritional and overall quality of jams, jellies, wines, and fermented products. Today, S. cumini is also used in edible films. So, we believe that S. cumini’s anatomical parts, extracts, and isolated compounds can be used in the food industry with applications in food packaging and as food additives. Future research should focus on the isolation and purification of compounds from S. cumini to treat various disorders. More importantly, clinical trials are required to develop low-cost medications with a low therapeutic inde

    A spring search algorithm applied to engineering optimization problems

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    At present, optimization algorithms are used extensively. One particular type of such algorithms includes random-based heuristic population optimization algorithms, which may be created by modeling scientific phenomena, like, for example, physical processes. The present article proposes a novel optimization algorithm based on Hooke’s law, called the spring search algorithm (SSA), which aims to solve single-objective constrained optimization problems. In the SSA, search agents are weights joined through springs, which, as Hooke’s law states, possess a force that corresponds to its length. The mathematics behind the algorithm are presented in the text. In order to test its functionality, it is executed on 38 established benchmark test functions and weighed against eight other optimization algorithms: a genetic algorithm (GA), a gravitational search algorithm (GSA), a grasshopper optimization algorithm (GOA), particle swarm optimization (PSO), teaching–learning-based optimization (TLBO), a grey wolf optimizer (GWO), a spotted hyena optimizer (SHO), as well as an emperor penguin optimizer (EPO). To test the SSA’s usability, it is employed on five engineering optimization problems. The SSA delivered better fitting results than the other algorithms in unimodal objective function, multimodal objective functions, CEC 2015, in addition to the optimization problems in engineering
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