bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hsp70-mediated quality control: should I stay or should I go?
Authors: Kohler Verena , Andréasson Claes 
Published: August 2020

Abstract
Chaperones of the 70 kDa heat shock protein (Hsp70) superfamily are key components of the cellular proteostasis system. Together with its co-chaperones, Hsp70 forms proteostasis subsystems that antagonize protein damage during physiological and stress conditions. This function stems from highly regulated binding and release cycles of protein substrates, which results in a flow of unfolded, partially folded and misfolded species through the Hsp70 subsystem. Specific factors control how Hsp70 makes decisions regarding folding and degradation fates of the substrate proteins. In this review, we summarize how the flow of Hsp70 substrates is controlled in the cell with special emphasis on recent advances regarding substrate release mechanisms.
The ups and downs of ectoine: structural enzymology of a major microbial stress protectant and versatile nutrient
Authors: Hermann Lucas , Mais Christopher-Nils , Czech Laura , Smits Sander H.J. , Bange Gert , Bremer Erhard 
Published: August 2020

AbstractEctoine and its derivative 5-hydroxyectoine are compatible solutes and chemical chaperones widely synthesized byBacteriaand someArchaeaas cytoprotectants during osmotic stress and high- or low-growth temperature extremes. The function-preserving attributes of ectoines led to numerous biotechnological and biomedical applications and fostered the development of an industrial scale production process. Synthesis of ectoines requires the expenditure of considerable energetic and biosynthetic resources. Hence, microorganisms have developed ways to exploit ectoines as nutrients when they are no longer needed as stress protectants. Here, we summarize our current knowledge on the phylogenomic distribution of ectoine producing and consuming microorganisms. We emphasize the structural enzymology of the pathways underlying ectoine biosynthesis and consumption, an understanding that has been achieved only recently. The synthesis and degradation pathways critically differ in the isomeric form of the key metaboliteN-acetyldiaminobutyric acid (ADABA).γ-ADABA serves as preferred substrate for the ectoine synthase, while the α-ADABA isomer is produced by the ectoine hydrolase as an intermediate in catabolism. It can serve as internal inducer for the genetic control of ectoine catabolic genes via the GabR/MocR-type regulator EnuR. Our review highlights the importance of structural enzymology to inspire the mechanistic understanding of metabolic networks at the biological scale.
Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator
Authors: Cai Weixin , van der Laan Mark 
Published: August 2020

AbstractThe Highly-Adaptive least absolute shrinkage and selection operator (LASSO) Targeted Minimum Loss Estimator (HAL-TMLE) is an efficient plug-in estimator of a pathwise differentiable parameter in a statistical model that at minimal (and possibly only) assumes that the sectional variation norm of the true nuisance functions (i.e., relevant part of data distribution) are finite. It relies on an initial estimator (HAL-MLE) of the nuisance functions by minimizing the empirical risk over the parameter space under the constraint that the sectional variation norm of the candidate functions are bounded by a constant, where this constant can be selected with cross-validation. In this article we establish that the nonparametric bootstrap for the HAL-TMLE, fixing the value of the sectional variation norm at a value larger or equal than the cross-validation selector, provides a consistent method for estimating the normal limit distribution of the HAL-TMLE. In order to optimize the finite sample coverage of the nonparametric bootstrap confidence intervals, we propose a selection method for this sectional variation norm that is based on running the nonparametric bootstrap for all values of the sectional variation norm larger than the one selected by cross-validation, and subsequently determining a value at which the width of the resulting confidence intervals reaches a plateau. We demonstrate our method for 1) nonparametric estimation of the average treatment effect when observing a covariate vector, binary treatment, and outcome, and for 2) nonparametric estimation of the integral of the square of the multivariate density of the data distribution. In addition, we also present simulation results for these two examples demonstrating the excellent finite sample coverage of bootstrap-based confidence intervals.
Shrinkage estimation applied to a semi-nonparametric regression model
Authors: Zareamoghaddam Hossein , Ahmed Syed E. , Provost Serge B. 
Published: August 2020

Abstract
Stein-type shrinkage techniques are applied to the parametric components of a semi-nonparametric regression model recently proposed by (Ma et al. 2015: 285–303). On the basis of an uncertain prior information (restrictions) about the parameters of interest, shrinkage techniques are shown to improve the accuracy of the model. The effectiveness of the proposed estimators are corroborated by a simulation study.
Derivation of Passing–Bablok regression from Kendall’s tau
Authors: Dufey Florian 
Published: August 2020

Abstract
It is shown how Passing’s and Bablok’s robust regression method may be derived from the condition that Kendall’s correlation coefficient tau shall vanish upon a scaling and rotation of the data. If the ratio of the standard deviations of the regressands is known, a similar procedure leads to a robust alternative to Deming regression, which is known as the circular median of the doubled slope angle in the field of directional statistics. The derivation of the regression estimates from Kendall’s correlation coefficient makes it possible to give analytical estimates of the variances of the slope, intercept, and of the bias at medical decision point, which have not been available to date. Furthermore, it is shown that using Knight’s algorithm for the calculation of Kendall’s tau makes it possible to calculate the Passing–Bablok estimator in quasi-linear time. This makes it possible to calculate this estimator rapidly even for very large data sets. Examples with data from clinical medicine are also provided.
Kinetic characterization of rat brain acetylcholinesterase modulated by lead and cartap: the ameliorative effect of Citrus limon fruit juice
Authors: Singh Nitika , Tiwari Priyanka , Sharma Bechan 
Published: August 2020

Abstract

Objectives
Human exposure to heavy metals and pesticides is a worldwide major health problem. These environmental pollutants have been considered as the most neurotoxic agents and responsible to causing neurological toxicity. Plant-based therapeutic supplement may be used in the event of toxicity. Citrus limon contains several useful bioactive ingredients including flavonoids, dietary fiber, carotenoids, vitamins, pectin, minerals, and essential oils, which are responsible for its therapeutic potential. In the present investigation, we have studied the toxicity of heavy metals such as lead (Pb) and a carbamate pesticide such as cartap (Cp) on rat brain acetylcholinesterase (AChE).

Methods
The chemical characterization of C. limon involved determination of total antioxidants and 2,2-diphenyl-1-picryl-hydrazyl-hydrate free radical scavenging activity using known methods. The AChE activity and its kinetic characterization were performed by assaying the enzyme activity at varying substrate concentrations, pH, temperature, and time of reaction. Its different kinetic parameters such as K

i
, V
max, K

m
, K
cat, and K
cat/K
m were determined by using standard procedures. The amelioration potential of the extract was evaluated on the neurotransmission system of rat brain AChE treated with Pb, Cp, and their combination (Pb–Cp), considering their 50% inhibitory concentration (IC50) values.

Results
The optimal activity of rat brain AChE was recorded at 25 µg of protein, pH of 7.4, substrate concentration [S] of 0.5 mM, and temperature of 37.4–40°C. The enzyme was stable for 10 min when incubated at 37.4 °C in vitro. The enzyme displayed 70% of its activity remaining even after 160 min of incubation in this condition. It may be stable up to 1 month when stored at −20°C. The IC50 values for Pb, Cp, and Pb–Cp were found to be 75, 2.9, and 5 mM, respectively. Pb, Cp, and Pb–Cp inhibited the activity of rat brain AChE in the noncompetitive, mixed, and uncompetitive manners, respectively, with their respective K

i
values to be 675, 2.37, and 22.72 mM.

Conclusions
The results indicated that the Pb and Cp were able to cause significant alterations in the level and properties of AChE. However, the introduction of lemon juice on Pb- and Cp-treated AChE indicated protection of its activity from their adverse effects. The results may be useful in prospective therapeutic applications of lemon juice or as a food supplement to protect mammalian systems from adverse effects of these toxicants.
Raising burden of non-communicable diseases: importance of integrating Yoga and Naturopathy at primary care level
Authors: Salwa Hyndavi , Nair Pradeep M.K. 
Published: August 2020

AbstractPrimary health care is a vital component in health care delivery. Non-communicable diseases (NCD’s) are rising like a major threat to human survival, which is expected to account for 75% of the total mortality by 2030. Lifestyle and behavioural changes are reckoned as the way ahead. Yoga and Naturopathy, a drugless system of medicine has intersecting paradigms which addresses all planes of health effectively. Yoga and Naturopathy through its holistic approach educate and make the people responsible for their own health. It has shown its efficacy in alleviating and preventing various NCD’s. A systematic approach should be initiated, which can channelize the integration of Yoga and Naturopathy at the primary care level considering its cost-effectiveness and efficacy over NCD’s.
Robust Gaussian Noise Detection and Removal in Color Images using Modified Fuzzy Set Filter
Authors: Suneetha Akula , Srinivasa Reddy E. 
Published: August 2020

Abstract
In the data collection phase, the digital images are captured using sensors that often contaminated by noise (undesired random signal). In digital image processing task, enhancing the image quality and reducing the noise is a central process. Image denoising effectively preserves the image edges to a higher extend in the flat regions. Several adaptive filters (median filter, Gaussian filter, fuzzy filter, etc.) have been utilized to improve the smoothness of digital image, but these filters failed to preserve the image edges while removing noise. In this paper, a modified fuzzy set filter has been proposed to eliminate noise for restoring the digital image. Usually in fuzzy set filter, sixteen fuzzy rules are generated to find the noisy pixels in the digital image. In modified fuzzy set filter, a set of twenty-four fuzzy rules are generated with additional four pixel locations for determining the noisy pixels in the digital image. The additional eight fuzzy rules ease the process of finding the image pixels,whether it required averaging or not. In this scenario, the input digital images were collected from the underwater photography fish dataset. The efficiency of the modified fuzzy set filter was evaluated by varying degrees of Gaussian noise (0.01, 0.03, and 0.1 levels of Gaussian noise). For performance evaluation, Structural Similarity (SSIM), Mean Structural Similarity (MSSIM), Mean Square Error (MSE), Normalized Mean Square Error (NMSE), Universal Image Quality Index (UIQI), Peak Signal to Noise Ratio (PSNR), and Visual Information Fidelity (VIF) were used. The experimental results showed that the modified fuzzy set filter improved PSNR value up to 2-3 dB, MSSIM up to 0.12-0.03, and NMSE value up to 0.38-0.1 compared to the traditional filtering techniques.
Equidistribution Among Cosets of Elliptic Curve Points in Intervals
Authors: Kim Taechan , Tibouchi Mehdi 
Published: August 2020

AbstractIn a recent paper devoted to fault analysis of elliptic curve-based signature schemes, Takahashi et al. (TCHES 2018) described several attacks, one of which assumed an equidistribution property that can be informally stated as follows: given an elliptic curve E over 𝔽q in Weierstrass form and a large subgroup H ⊂ E(𝔽q) generated by G(xG, yG), the points in E(𝔽q) whose x-coordinates are obtained from xG by randomly flipping a fixed, sufficiently long substring of bits (and rejecting cases when the resulting value does not correspond to a point in E(𝔽q)) are close to uniformly distributed among the cosets modulo H. The goal of this note is to formally state, prove and quantify (a variant of) that property, and in particular establish sufficient bounds on the size of the subgroup and on the length of the substring of bits for it to hold. The proof relies on bounds for character sums on elliptic curves established by Kohel and Shparlinski (ANTS–IV).
Hash functions from superspecial genus-2 curves using Richelot isogenies
Authors: Castryck Wouter , Decru Thomas , Smith Benjamin 
Published: August 2020

AbstractIn 2018 Takashima proposed a version of Charles, Goren and Lauter’s hash function using Richelot isogenies, starting from a genus-2 curve that allows for all subsequent arithmetic to be performed over a quadratic finite field 𝔽p2. In 2019 Flynn and Ti pointed out that Takashima’s hash function is insecure due to the existence of small isogeny cycles. We revisit the construction and show that it can be repaired by imposing a simple restriction, which moreover clarifies the security analysis. The runtime of the resulting hash function is dominated by the extraction of 3 square roots for every block of 3 bits of the message, as compared to one square root per bit in the elliptic curve case; however in our setting the extractions can be parallelized and are done in a finite field whose bit size is reduced by a factor 3. Along the way we argue that the full supersingular isogeny graph is the wrong context in which to study higher-dimensional analogues of Charles, Goren and Lauter’s hash function, and advocate the use of the superspecial subgraph, which is the natural framework in which to view Takashima’s 𝔽p2-friendly starting curve.
Performance analysis of NRZ and RZ variants for FSO communication system under different weather conditions
Authors: Sadiq Nehall , Hussain Akhtar , Qamar Farhan , Shahzadi Romana , Ali Mudassar , Qamar Nouman , Nadeem M. Faisal , Masud Usman 
Published: August 2020

Abstract
The evolving 5G technology is currently facing some huge challenges such as cost, bandwidth, network flexibility, deployment and capacity. Free space optics (FSO) is an emerging technology and viable approach to address the challenges of upcoming networks. This paper presents the performance comparison of advance variants of Return to zero (RZ) and Non-return to zero (NRZ) modulation formats in FSO communication. Detailed analysis of FSO link is carried out under various weather conditions by means of numerical simulations in which different data rates and distances are tested to evaluate the performance. The effects of different weather conditions over the performance, efficiency and availability of FSO link are analyzed on the basis of quality factor (Q-factor) of received signal. The work is performed on the licensed version of Optisystem v14.0.
The performance comparison of hybrid WDM/TDM, TDM and WDM PONs with 128 ONUs
Authors: Hamadouche Hadjira , Merabet Boualem , Bouregaa Mouweffeq 
Published: August 2020

Abstract
Here, we have simulated different unidirectional passive optical networks (PONs) technologies such as wavelength division multiplexing (WDM), time-division multiplexing (TDM) and hybridPONs with different users for varying fiber length, data rate, continuous wave laser power and number of users. Their performances based on the quality-factor (Q-factor) and bit error rate (BER) using OptiSystem software 7.0 with using an Erbium doped-fiber amplifier (EDFA) were compared. Our model used 16 and 128 users, where the performance of the unidirectional Hybrid WDM/TDM PONs with 4 wavelengths and 128 user systems have better high Q-factor and lower BER, compared to that of 128 user WDM PON and 128 user TDM PON systems.
Clinical relevance of T lymphocyte subsets in pediatric Graves’ disease
Authors: Chen Ting , Chen Linqi , Song Haojie , Chen Xiuli , Xie Rongrong , Xia Qin , Zhang Dandan , Wu Haiying , Sun Hui , Wang Xiaoyan , Wang Fengyun 
Published: August 2020

Abstract

Objectives
Graves’ disease (GD) is an autoimmune disease involving intimate response of both T cells and B cells. Immunophenotyping of peripheral blood lymphocyte subsets in GD children with different clinical characteristics can provide further information of the pathogenesis of GD.

Methods
We studied the lymphocyte subsets in peripheral blood of 141 children with GD. We repeatedly divided the patients into two groups in accordance with different clinical characteristics (abnormal or normal alanine aminotransferase (ALT) levels, the presence or absence of Graves’ orbitopathy (GO), and the presence or absence of hematuria. Then we compared the lymphocyte subsets measurements between two paired groups.

Results
We found that serum ALT levels correlated positively with CD3+CD8+ T cell percentages in children with GD. Moreover, we detected higher percentages of CD3−CD19+ cells and higher ratio of CD4/CD8 in patients with GO. However, no correlation was found between GO status and lymphocyte subsets after excluding confounding effect of TRAb. No difference of lymphocyte subset percentages was found between groups with or without hematuria.

Conclusions
Serum ALT levels correlate positively with cytotoxic T cell percentages in the peripheral blood of children with GD. The cytotoxic T cell may play a role in the pathogenesis of hepatic dysfunction in children with GD.
The Epistemology of Group Duties: What We Know and What We Ought to do
Authors: Schwenkenbecher Anne 
Published: August 2020

Abstract
In Group Duties, Stephanie Collins proposes a ‘tripartite’ social ontology of groups as obligation-bearers. Producing a unified theory of group obligations that reflects our messy social reality is challenging and this ‘three-sizes-fit-all’ approach promises clarity but does not always keep that promise. I suggest considering the epistemic level as primary in determining collective obligations, allowing for more fluidity than the proposed tripartite ontology of collectives, coalitions and combinations.
Disenfranchisement and the Capacity/Equality Puzzle:Why Disenfranchise Children but Not Adults Living with Cognitive Disabilities
Authors: Mráz Attila 
Published: August 2020

AbstractIn this paper, I offer a solution to the Capacity/Equality Puzzle. The puzzle holds that an account of the franchise may adequately capture at most two of the following: (1) a political equality-based account of the franchise, (2) a capacity-based account of disenfranchising children, and (3) universal adult enfranchisement. To resolve the puzzle, I provide a complex liberal egalitarian justification of a moralrequirementto disenfranchise children. I show that disenfranchising children is permitted by both the proper political liberal and the proper political egalitarian understandings of the relationship between cognitive capacity and the franchise. Further, I argue, disenfranchising children is required by a minimalistic, procedural principle of collective competence in political decision-making. At the same time, I show that political equality requires the enfranchisement of all adults, regardless of cognitive capacities, and that the collective competence principle does not ground adult disenfranchisement. This justifies the progressive legal trend that holds the capacity-based disenfranchisement of adults to be incompatible with liberal democratic principles.
More on closed non-vanishing ideals in CB
(X)
Authors: Khademi Amin 
Published: August 2020

Abstract
Let X be a completely regular topological space. For each closed non-vanishing ideal H of CB
(X), the normed algebra of all bounded continuous scalar-valued mappings on X equipped with pointwise addition and multiplication and the supremum norm, we study its spectrum, denoted by 𝔰𝔭(H). We make a correspondence between algebraic properties of H and topological properties of 𝔰𝔭(H). This continues some previous studies, in which topological properties of 𝔰𝔭(H) such as the Lindelöf property, paracompactness, σ-compactness and countable compactness have been made into correspondence with algebraic properties of H. We study here other compactness properties of 𝔰𝔭(H) such as weak paracompactness, sequential compactness and pseudocompactness. We also study the ideal isomorphisms between two non-vanishing closed ideals of CB
(X).
Multipolar second-harmonic generation from high-Q quasi-BIC states in subwavelength resonators
Authors: Volkovskaya Irina , Xu Lei , Huang Lujun , Smirnov Alexander I. , Miroshnichenko Andrey E. , Smirnova Daria 
Published: August 2020

Abstract
We put forward the multipolar model which captures the physics behind linear and nonlinear response driven by high-quality (high-Q) supercavity modes in subwavelength particles. We show that the formation of such trapped states associated with bound states in the continuum (quasi-BIC) can be understood through multipolar transformations of coupled leaky modes. The quasi-BIC state appears with increasing the order of the dominating multipole, where dipolar losses are completely suppressed. The efficient optical coupling to this state in the AlGaAs nanodisk is implemented via azimuthally polarized beam illumination matching its multipolar origin. We establish a one-to-one correspondence between the standard phenomenological non-Hermitian coupled-mode theory and multipolar models. The derived multipolar composition of the generated second-harmonic radiation from the AlGaAs nanodisk is then validated with full-wave numerical simulations. Back-action of the second-harmonic radiation onto the fundamental frequency is taken into account in the coupled nonlinear model with pump depletion. A hybrid metal-dielectric nanoantenna is proposed to augment the conversion efficiency up to tens of per cent due to increasing quality factors of the involved resonant states. Our findings delineate novel promising strategies in the design of functional elements for nonlinear nanophotonics applications.
Synthesis and crystal structure of 2-azido-N-(4-nitrophenyl)acetamide, C8H7N5O3
Authors: Missioui Mohcine , Guerrab Walid , Mague Joel T. , Ramli Youssef 
Published: August 2020

Abstract
C8H7N5O3, monoclinic, P21/n (no. 14), a = 5.0340(2) Å, b = 21.1023(9) Å, c = 9.2880(4) Å, β = 94.909(1)°, V = 983.04(7) Å3, Z = 4, R
gt(F) = 0.0470, wR
ref(F
2) = 0.1496, T = 298(2) K.