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2021 ◽  
Vol 25 (2) ◽  
pp. 208
Author(s):  
Desak Made Malini ◽  
Nurullia Fitriani ◽  
Adnin Laila ◽  
Nining Ratningsih ◽  
Tia Setiawati

In a long term, diabetes mellitus (DM) leads to nephropathy due to glomerular hyperfiltration. One of the plant used as a diabetic drug by the community in Karangwangi Village, Cianjur Regency, West Java is the fruit peel of jengkol. Therefore, this study aims to determine the effect of the ethanolic extract of Jengkol fruit peel (EEJFP) toward the morphological and histological structure on the kidney of the diabetic rat model. The method adopted was the Randomized Design (CRD) with 6 treatments namely NC (Carboxyl Methyl Cellulose (CMC) 0.5%), PC (CMC 0.5%), Pb (Glibenclamide 5 mg/kg BW), P1, P2, and P3 (EEJFP 385; 770; and 1,540 mg/kg BW) with 4 replications for 14 consecutive days. Furthermore, the induction of diabetes with streptozotocin dose of 60 mg/Kg BW was performed intravenously in experimental animals except for the NC group. The parameters observed include relative weight, morphological, and histological structure of kidney which include glomerular diameter, Bowman space distance, and percentage of proximal tubular cell necrosis. The non-parametric and parametric data were tested by Kruskal Wallis and ANOVA test as well as Duncan's follow-up test, respectively. The results showed that there was no significant difference in the morphological structure of the kidney between treatment groups.  Furthermore, the relative weights of kidney in the PC, Pb, P1, and P3 groups were larger and significantly different compared to NC and P2 also, the histological structure showed that the glomerular diameter (65.43 ± 0.7 m), Bowman space distance (4.19 ± 1.7 µm), and the percentage of proximal tubular cell necrosis (24.6 ± 5.5%) at P2 were not significantly different from NC. Based on this results, it was concluded that EEJFP has no effect on the kidney’s morphological structure, however, it decreases its relative weight and repair the kidney’s histological damage of the diabetic rat model with the optimum dose of 770 mg/kg BW.


Author(s):  
Sergey G. Nikolaev ◽  
◽  
Svetlana V. Nikolaeva

This article is an attempt of textological conceptualization of an interlingual transfer (doubling) of a literary text. This transfer, in case it has been done by the author him/herself, is traditionally called self-translation, yet it can also by qualified as an adaptation of the “old” text to the perceptive abilities of the “new” recipient, i.e. a collective reader representing a different national and cultural medium and bearing its values as a prevalent aesthetic waymark. Special importance in the above process is attached to such a significant feature of any literary text of high quality as its elasticity. The textological approach to the scientific understanding of the differentlanguage text binary is often complemented by the bilinguological categorization of the subject, i.e. a text of poetry and, at the same time, a poetic cycle. From this standpoint, the mode of primary/secondary character of the two interconnected texts might lose its substantial preciseness. Further on, the article scrutinizes a landmark (for the Russian culture) literary text and its self-translation: the poetic cycle “A Part of Speech” by Joseph Brodsky. Four conceptual dominants of the cycle, with regard to their axiological hierarchy, are distinguished: 1) space/distance – location – oblivion; 2) time (epoch) – history – event – oblivion; 3) love – breakup – oblivion; 4) speech – art – extension – immortality. Further, a comparative analysis of their different-language verbalization is carried out. It is stated that Brodsky’s creation of this bilingual cycle reflects his striving for a cultural adaptation of each version to the background knowledge, historical experience, principles, traditions, aesthetic attitudes and, generally, sentiments of different groups of readers. In some cases this is done by means of the national language only, in other cases by the general complication of the poems’ figurative fabric.


Metals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1781
Author(s):  
Yang Liu ◽  
Jing Li ◽  
Wei Liang ◽  
Jiawei Gao ◽  
Yongfeng Qi ◽  
...  

The microstructure and carbides evolution of high-speed steel after electroslag remelting and solution treatment were studied. The thermodynamic precipitation mechanism of carbides in solid phase was discussed and the characteristic parameters of carbides in different processes were also investigated. The results show that there were large lamellar and fibrous Mo2C and a small amount of VC in the ESR ingot. Mo2C are metastable carbides, which can be decomposed into VC and Fe2Mo4C during the solution treatment. The average diameter of the carbides is reduced to 1.28 μm and the space distance is reduced to 3.23 μm after forging and hot rolling, which means carbides are completely spheroidal and dispersed in matrix.


2021 ◽  
Vol 2021 (10) ◽  
Author(s):  
Ginevra Buratti ◽  
José Calderón-Infante ◽  
Matilda Delgado ◽  
Angel M. Uranga

Abstract We consider spacetime-dependent solutions to string theory models with tadpoles for dynamical fields, arising from non-trivial scalar potentials. The solutions have necessarily finite extent in spacetime, and are capped off by boundaries at a finite distance, in a dynamical realization of the Cobordism Conjecture. We show that as the configuration approaches these cobordism walls of nothing, the scalar fields run off to infinite distance in moduli space, allowing to explore the implications of the Swampland Distance Conjecture. We uncover new interesting scaling relations linking the moduli space distance and the SDC tower scale to spacetime geometric quantities, such as the distance to the wall and the scalar curvature. We show that walls at which scalars remain at finite distance in moduli space correspond to domain walls separating different (but cobordant) theories/vacua; this still applies even if the scalars reach finite distance singularities in moduli space, such as conifold points.We illustrate our ideas with explicit examples in massive IIA theory, M-theory on CY threefolds, and 10d non-supersymmetric strings. In 4d $$ \mathcal{N} $$ N = 1 theories, our framework reproduces a recent proposal to explore the SDC using 4d string-like solutions.


2021 ◽  
Author(s):  
Jan Tünnermann ◽  
Leonardo Chelazzi ◽  
Anna Schubö

In real-world tasks visual attention is rarely aimed at a single object. Humans rather“forage” the visual scene for information, dynamically switching attentional templates. Several visual search studies have found that observers often use suboptimal attentional control strategies, possibly to avoid effort. Here, we investigated with a foraging paradigm if observers’ reluctance to switch between attentional templates increases with template specificity. To that end, we manipulated the feature context of displays in which participants “foraged” moving stimuli on a tablet-PC. Experiment 1 (N = 35) revealed a decline in switching tendency and foraging efficiency with increasing feature-space distance between target alternatives. Experiment 2 (N = 36) found even lower flexibility with distractor color close to, and strongest impairments with distractor color in between target colors. Our results demonstrate that visualinformation sampling is most flexible when broad (instead of very specific) templates and relational search strategies are possible (e.g., attending “redder” objects), with implications for both attention research and applications, especially in visual-foraging-like tasks, such as baggage screening or medical image assessment.


2021 ◽  
Vol 1 (2) ◽  
pp. 29-41
Author(s):  
Simela Talaohu

PT. Trimegah Bangun Persada intends to do mining activity at the north part of IUP as the south and west parts have already been mined. This research aimed at producing natural resources of laterite nickel in the advanced exploration activity of Tangkuban Block. Besides, it also compared and determined the estimation methods having a good correlation with drilling results. Tangkuban Block carried out core drilling within total drill numbers of 286 spots and space distance 25 meters at the block area 22.16 Ha. This research began with determining the geological domain consisting of limonite, saprolite, and bedrock through a geo-statistical approach. After that, the researcher estimated nickel resources by three methods namely ordinary kriging, inverse distance weight, and nearest neighbor point. The result of estimation by ordinary kriging obtained a total volume of limonite layer 1,345,313 m3 with the content average of 1%, while the total volume of saprolite layer was 1,850,000 m3 1.64%.


2021 ◽  
Author(s):  
Angelo De Santis ◽  
Saioa A. Campuzano ◽  
Gianfranco Cianchini ◽  
Domenico Di Mauro ◽  
Dedalo Marchetti ◽  
...  

<p>In-situ magnetic field and electron density, as observed by Swarm and CSES satellites, are analyzed to identify possible anomalies in geomagnetic quiet time with respect to the ionospheric background. To avoid detecting possible anomalies induced by auroral activity we investigate regions between +50 and -50 degrees in magnetic latitude. Then a superposed epoch and space approach is applied to this anomaly dataset with respect to their time and space distance from shallow M5.5+ earthquakes occurred in about last 6 years. A comparison with analogous homogeneous random distribution of anomalies shows that the real anomaly concentrations found before the occurrence of earthquakes are statistically significant. In addition, we find that, in general, the anticipation times of the ionospheric precursors scale with the earthquake magnitude, confirming the validity of the Rikitake law for ionospheric signals, previously valid for ground precursors. We also find that the anomaly duration seems to depend on the magnitude of the impending earthquake. Finally, we propose a simple scheme of potential earthquake forecast on the base of the previously mentioned characteristics.</p>


2021 ◽  
Author(s):  
Peter Krawitz ◽  
Tzung-Chien Hsieh ◽  
Aviram Bar-Haim ◽  
Shahida Moosa ◽  
Nadja Ehmke ◽  
...  

Abstract The majority of monogenic disorders cause craniofacial abnormalities with characteristic facial morphology. These disorders can be diagnosed more efficiently with the support of computer-aided next-generation phenotyping tools, such as DeepGestalt. These tools have learned to associate facial phenotypes with the underlying syndrome through training on thousands of patient photographs. However, this “supervised” approach means that diagnoses are only possible if they were part of the training set. To improve recognition of ultra-rare diseases, we created GestaltMatcher, which uses a deep convolutional neural network based on the DeepGestalt framework. We used photographs of 21,836 patients with 1,362 rare disorders to define a “Clinical Face Phenotype Space”. Distance between cases in the phenotype space defines syndromic similarity, allowing test patients to be matched to a molecular diagnosis even when the disorder was not included in the training set. Similarities among patients with previously unknown disease genes can also be detected. Therefore, in concert with mutation data, GestaltMatcher could accelerate the clinical diagnosis of patients with ultra-rare disorders and facial dysmorphism.


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