REINTERPRETASI HADIS PENAKLUKAN KONSTANTINOPEL PERSPEKTIF FAZLUR RAHMAN

2020 ◽  
Vol 3 (1) ◽  
pp. 56-85
Author(s):  
Harel Bayu Paizin
Keyword(s):  
Main Driver

This paper discusses the criticism conveyed by Rahman on the understanding of hadith that has been developed in the midst of Islamic societies regarding the hadith about the conquest of Constantinople, where so far the hadith about the conquest of Constantinople is believed to be the main driver of Islamic commanders to conquer Constantinople. But Fazlur Rahman denied it by stating that the hadith was a hadith that emerge during the period of defamation which was used by certain groups to support their ambitions. To support his suspicion, Rahman offers a methodology called the theory of historicity, where each hadith must be seen first in terms of the history that follows it. The results obtained from the hadith about the conquest caused a shift in understanding that had been believed by Muslims that the conquest of Constantinople was inspired by the hadith that was revealed by the Prophet Muhammad.

Regular estimates of paddock pasture mass can improve profitability on New Zealand dairy farms

2015 ◽  
Vol 77 ◽  
pp. 29-34 ◽  
Author(s):  
P.C. Beukes ◽  
S. Mccarthy ◽  
C.M. Wims ◽  
A.J. Romera
Keyword(s):  
Supply And Demand ◽  
Grazing Management ◽  
Average Error ◽  
Value Proposition ◽  
Perfect Knowledge ◽  
Operating Profit ◽  
A Value ◽  
Main Driver ◽  
Imperfect Knowledge ◽  
Farm Scale

Paddock selection is an important component of grazing management and is based on either some estimate of pasture mass (cover) or the interval since last grazing for each paddock. Obtaining estimates of cover to guide grazing management can be a time consuming task. A value proposition could assist farmers in deciding whether to invest resources in obtaining such information. A farm-scale simulation exercise was designed to estimate the effect of three levels of knowledge of individual paddock cover on profitability: 1) "perfect knowledge", where cover per paddock is known with perfect accuracy, 2) "imperfect knowledge", where cover per paddock is estimated with an average error of 15%, 3) "low knowledge", where cover is not known, and paddocks are selected based on longest time since last grazing. Grazing management based on imperfect knowledge increased farm operating profit by approximately $385/ha compared with low knowledge, while perfect knowledge added a further $140/ha. The main driver of these results is the level of accuracy in daily feed allocation, which increases with improving knowledge of pasture availability. This allows feed supply and demand to be better matched, resulting in less incidence of under- and over-feeding, higher milk production, and more optimal post-grazing residuals to maximise pasture regrowth. Keywords: modelling, paddock selection, pasture cover

The Politics of Energy Security

2019 ◽  
pp. 247-274 ◽  
Author(s):  
Jessica Jewell ◽  
Elina Brutschin
Keyword(s):  
Energy Security ◽  
Energy Systems ◽  
Future Research ◽  
Policy Makers ◽  
Social Actors ◽  
Academic Communities ◽  
Policy Goals ◽  
Main Driver ◽  
Productive Research

Energy security has long been a main driver of energy policies, but its meaning has been contested by policy makers and scholars. The concept incorporates both material and intersubjective aspects, finding different expressions in different contexts and attracting the interest of diverse social actors and academic communities. This chapter identifies, compares, and contrasts five major approaches for analyzing energy security rooted in different scholarly traditions. It argues that in order to facilitate a dialogue among these approaches as well as policy comparison and learning, it is useful to conceptualize energy security as “low vulnerability of vital energy systems.” This definition opens avenues for productive research, unpacking the interplay between material and intersubjective aspects of “vulnerability” and “vitality” of energy systems. Future research should investigate the role of material factors alongside power, values, and trust in defining energy security; explain the gap between energy securitization and action; and explore the interaction between energy security and other energy policy goals.

scholarly journals From Micro to Long: Non-Coding RNAs in Tamoxifen Resistance of Breast Cancer Cells

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3688
Author(s):  
Jéssica Fernanda Barazetti ◽  
Tayana Shultz Jucoski ◽  
Tamyres Mingorance Carvalho ◽  
Rafaela Nasser Veiga ◽  
Ana Flávia Kohler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptor ◽  
Estrogen Receptor Alpha ◽  
Expression Patterns ◽  
Tamoxifen Resistance ◽  
Hormone Receptor Positive ◽  
Current State ◽  
Main Driver ◽  
Underlying Mechanisms ◽  
Multiple Signaling

Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer mortality among women. Two thirds of patients are classified as hormone receptor positive, based on expression of estrogen receptor alpha (ERα), the main driver of breast cancer cell proliferation, and/or progesterone receptor, which is regulated by ERα. Despite presenting the best prognosis, these tumors can recur when patients acquire resistance to treatment by aromatase inhibitors or antiestrogen such as tamoxifen (Tam). The mechanisms that are involved in Tam resistance are complex and involve multiple signaling pathways. Recently, roles for microRNAs and lncRNAs in controlling ER expression and/or tamoxifen action have been described, but the underlying mechanisms are still little explored. In this review, we will discuss the current state of knowledge on the roles of microRNAs and lncRNAs in the main mechanisms of tamoxifen resistance in hormone receptor positive breast cancer. In the future, this knowledge can be used to identify patients at a greater risk of relapse due to the expression patterns of ncRNAs that impact response to Tam, in order to guide their treatment more efficiently and possibly to design therapeutic strategies to bypass mechanisms of resistance.

scholarly journals Mathematical model for the thermal enhancement of radiation response: thermodynamic approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adriana M. De Mendoza ◽  
Soňa Michlíková ◽  
Johann Berger ◽  
Jens Karschau ◽  
Leoni A. Kunz-Schughart ◽  
...  
Keyword(s):  
Protein Denaturation ◽  
Collateral Damage ◽  
Hyperthermia Treatment ◽  
Reversible Process ◽  
Technological Advances ◽  
Thermal Enhancement ◽  
Main Driver ◽  
Definition Of

AbstractRadiotherapy can effectively kill malignant cells, but the doses required to cure cancer patients may inflict severe collateral damage to adjacent healthy tissues. Recent technological advances in the clinical application has revitalized hyperthermia treatment (HT) as an option to improve radiotherapy (RT) outcomes. Understanding the synergistic effect of simultaneous thermoradiotherapy via mathematical modelling is essential for treatment planning. We here propose a theoretical model in which the thermal enhancement ratio (TER) relates to the cell fraction being radiosensitised by the infliction of sublethal damage through HT. Further damage finally kills the cell or abrogates its proliferative capacity in a non-reversible process. We suggest the TER to be proportional to the energy invested in the sensitisation, which is modelled as a simple rate process. Assuming protein denaturation as the main driver of HT-induced sublethal damage and considering the temperature dependence of the heat capacity of cellular proteins, the sensitisation rates were found to depend exponentially on temperature; in agreement with previous empirical observations. Our findings point towards an improved definition of thermal dose in concordance with the thermodynamics of protein denaturation. Our predictions well reproduce experimental in vitro and in vivo data, explaining the thermal modulation of cellular radioresponse for simultaneous thermoradiotherapy.

scholarly journals Analysis of machining-induced residual stresses of milled aluminum workpieces, their repeatability, and their resulting distortion

2021 ◽  
Author(s):  
Daniel Weber ◽  
Benjamin Kirsch ◽  
Christopher R. Chighizola ◽  
Christopher R. D’Elia ◽  
Barbara S. Linke ◽  
...  
Keyword(s):  
Residual Stresses ◽  
Cutting Speed ◽  
Past Research ◽  
Hole Drilling ◽  
Statistical Confidence ◽  
Measured Stress ◽  
Main Driver ◽  
Milled Surface ◽  
Force Signal ◽  
Repeatability Standard Deviation

AbstractMachining-induced residual stresses (MIRS) are a main driver for distortion of thin-walled monolithic aluminum workpieces. Before one can develop compensation techniques to minimize distortion, the effect of machining on the MIRS has to be fully understood. This means that not only an investigation of the effect of different process parameters on the MIRS is important. In addition, the repeatability of the MIRS resulting from the same machining condition has to be considered. In past research, statistical confidence of MIRS of machined samples was not focused on. In this paper, the repeatability of the MIRS for different machining modes, consisting of a variation in feed per tooth and cutting speed, is investigated. Multiple hole-drilling measurements within one sample and on different samples, machined with the same parameter set, were part of the investigations. Besides, the effect of two different clamping strategies on the MIRS was investigated. The results show that an overall repeatability for MIRS is given for stable machining (between 16 and 34% repeatability standard deviation of maximum normal MIRS), whereas instable machining, detected by vibrations in the force signal, has worse repeatability (54%) independent of the used clamping strategy. Further experiments, where a 1-mm-thick wafer was removed at the milled surface, show the connection between MIRS and their distortion. A numerical stress analysis reveals that the measured stress data is consistent with machining-induced distortion across and within different machining modes. It was found that more and/or deeper MIRS cause more distortion.

scholarly journals Regulation of Cardiac PKA Signaling by cAMP and Oxidants

Antioxidants ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 663
Author(s):  
Friederike Cuello ◽  
Friedrich W. Herberg ◽  
Konstantina Stathopoulou ◽  
Philipp Henning ◽  
Simon Diering
Keyword(s):  
Contractile Function ◽  
Cardiac Contractility ◽  
Cellular Protein ◽  
Cardiac Contractile Function ◽  
Cardiac Contractile ◽  
Main Driver ◽  
Dependent Protein ◽  
Relevant Regulation ◽  
Protein Dysfunction ◽  
Substrate Proteins

Pathologies, such as cancer, inflammatory and cardiac diseases are commonly associated with long-term increased production and release of reactive oxygen species referred to as oxidative stress. Thereby, protein oxidation conveys protein dysfunction and contributes to disease progression. Importantly, trials to scavenge oxidants by systemic antioxidant therapy failed. This observation supports the notion that oxidants are indispensable physiological signaling molecules that induce oxidative post-translational modifications in target proteins. In cardiac myocytes, the main driver of cardiac contractility is the activation of the β-adrenoceptor-signaling cascade leading to increased cellular cAMP production and activation of its main effector, the cAMP-dependent protein kinase (PKA). PKA-mediated phosphorylation of substrate proteins that are involved in excitation-contraction coupling are responsible for the observed positive inotropic and lusitropic effects. PKA-actions are counteracted by cellular protein phosphatases (PP) that dephosphorylate substrate proteins and thus allow the termination of PKA-signaling. Both, kinase and phosphatase are redox-sensitive and susceptible to oxidation on critical cysteine residues. Thereby, oxidation of the regulatory PKA and PP subunits is considered to regulate subcellular kinase and phosphatase localization, while intradisulfide formation of the catalytic subunits negatively impacts on catalytic activity with direct consequences on substrate (de)phosphorylation and cardiac contractile function. This review article attempts to incorporate the current perception of the functionally relevant regulation of cardiac contractility by classical cAMP-dependent signaling with the contribution of oxidant modification.

scholarly journals The Link between VAPB Loss of Function and Amyotrophic Lateral Sclerosis

Cells ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1865
Author(s):  
Nica Borgese ◽  
Nicola Iacomino ◽  
Sara Francesca Colombo ◽  
Francesca Navone
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Motor Neurons ◽  
Adaptor Proteins ◽  
Loss Of Function ◽  
Membrane Contact Sites ◽  
Physiological Processes ◽  
Main Driver ◽  
Single Allele ◽  
Induced Pluripotent ◽  
Lateral Sclerosis

The VAP proteins are integral adaptor proteins of the endoplasmic reticulum (ER) membrane that recruit a myriad of interacting partners to the ER surface. Through these interactions, the VAPs mediate a large number of processes, notably the generation of membrane contact sites between the ER and essentially all other cellular membranes. In 2004, it was discovered that a mutation (p.P56S) in the VAPB paralogue causes a rare form of dominantly inherited familial amyotrophic lateral sclerosis (ALS8). The mutant protein is aggregation-prone, non-functional and unstable, and its expression from a single allele appears to be insufficient to support toxic gain-of-function effects within motor neurons. Instead, loss-of-function of the single wild-type allele is required for pathological effects, and VAPB haploinsufficiency may be the main driver of the disease. In this article, we review the studies on the effects of VAPB deficit in cellular and animal models. Several basic cell physiological processes are affected by downregulation or complete depletion of VAPB, impinging on phosphoinositide homeostasis, Ca2+ signalling, ion transport, neurite extension, and ER stress. In the future, the distinction between the roles of the two VAP paralogues (A and B), as well as studies on motor neurons generated from induced pluripotent stem cells (iPSC) of ALS8 patients will further elucidate the pathogenic basis of p.P56S familial ALS, as well as of other more common forms of the disease.

scholarly journals Are Climate Factors Driving the Contemporary Wildfire Occurrence in China?

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 392
Author(s):  
Zige Lan ◽  
Zhangwen Su ◽  
Meng Guo ◽  
Ernesto C. Alvarado ◽  
Futao Guo ◽  
...  
Keyword(s):  
Human Factors ◽  
Large Scale ◽  
Fire Occurrence ◽  
Climate Factors ◽  
Wildfire Occurrence ◽  
Prediction And Prevention ◽  
Data Resolution ◽  
Main Driver ◽  
Landscape Factors ◽  
Modelling Approach

Understanding the drivers of wildfire occurrence is of great value for fire prevention and management, but due to the variation in research methods, data sources, and data resolution of those studies, it is challenging to conduct a large-scale comprehensive comparative qualitative analysis on the topic. China has diverse vegetation types and topography, and has undergone rapid economic and social development, but experiences a high frequency of wildfires, making it one of the ideal locations for wildfire research. We applied the Random Forests modelling approach to explore the main types of wildfire drivers (climate factors, landscape factors and human factors) in three high wildfire density regions (Northeast (NE), Southwest (SW), and Southeast (SE)) of China. The results indicate that climate factors were the main driver of wildfire occurrence in the three regions. Precipitation and temperature significantly impacted the fire occurrence in the three regions due to the direct influence on the moisture content of forest fuel. However, wind speed had important influence on fire occurrence in the SE and SW. The explanation power of the landscape and human factors varied significantly between regions. Human factors explained 40% of the fire occurrence in the SE but only explained less than 10% of the fire occurrence in the NE and SW. The density of roads was identified as the most important human factor driving fires in all three regions, but railway density had more explanation power on fire occurrence in the SE than in the other regions. The landscape factors showed nearly no influence on fire occurrence in the NE but explained 46.4% and 20.6% in the SE and SW regions, respectively. Amongst landscape factors, elevation had the highest average explanation power on fire occurrence in the three regions, particularly in the SW. In conclusion, this study provides useful insights into targeted fire prediction and prevention, which should be more precise and effective under climate change and socio-economic development.

Effects of supernovae feedback and black hole outflows in the evolution of Dwarf Spheroidal Galaxies

2020 ◽  
Vol 15 (S359) ◽  
pp. 280-282
Author(s):  
Gustavo Amaral Lanfranchi ◽  
Anderson Caproni ◽  
Jennifer F. Soares ◽  
Larissa S. de Oliveira
Keyword(s):  
Black Hole ◽  
Homogeneous Medium ◽  
Massive Black Hole ◽  
Dwarf Spheroidal Galaxies ◽  
Stellar Feedback ◽  
Gas Removal ◽  
The Galaxy ◽  
Main Driver ◽  
Ia Supernovae ◽  
Jet Structure

AbstractThe gas evolution of a typical Dwarf Spheroidal Galaxy is investigated by means of 3D hydrodynamic simulations, taking into account the feedback of type II and Ia supernovae, the outflow of an Intermediate Massive Black Hole (IMBH) and a static cored dark matter potential. When the IMBH’s outflow is simulated in an homogeneous medium a jet structure is created and a small fraction of the gas is pushed away from the galaxy. No jet structure can be seen, however, when the medium is disturbed by supernovae, but gas is still pushed away. In this case, the main driver of the gas removal are the supernovae. The interplay between the stellar feedback and the IMBH’s outflow should be taken into account.

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