bluuebunny/crossref_metadata_2025_split huggingface dataset:
Territory as a Victim of Armed Conflict
Authors: Huneeus Alexandra , Rueda Sáiz Pablo 
Published: January 2021

Abstract
Colombia’s peace jurisdiction has formally accredited the territories of indigenous and Black communities as victims of the armed conflict. But what does it mean for a territory to be treated not as the stage on which a conflict unfolds, but as its victim? The concept of territory-as-victim seeks to give a legal expression to the notion that it is not just human lives that are upended by armed conflict, but also relations with non-humans, including ‘earth beings’ such as rivers and mountains, and the spiritual world. Further, it is a tool through which indigenous peoples and Black Colombians gain greater control over their land. Transitional justice scholars and practitioners are just beginning to consider what the push to recognize non-humans in law could mean for a field that has its origins in the human rights movement. This article contributes to the debate, showing how Colombia’s peace process is transforming territory from an object to a legal subject that suffers harm and is in need of repair.
Frequency-weighted ℌ2-pseudo-optimal model order reduction
Authors: Zulfiqar Umair , Sreeram Victor , Ilyas Ahmad Mian , Du Xin 
Published: January 2021

Abstract
The frequency-weighted model order reduction techniques are used to find a lower-order approximation of the high-order system that exhibits high-fidelity within the frequency region emphasized by the frequency weights. In this paper, we investigate the frequency-weighted $\mathcal{H}_2$-pseudo-optimal model order reduction problem wherein a subset of the optimality conditions for the local optimum is attempted to be satisfied. We propose two iteration-free algorithms, for the single-sided frequency-weighted case of $\mathcal{H}_2$-model reduction, where a subset of the optimality conditions is ensured by the reduced system. In addition, the reduced systems retain the stability property of the original system. We also present an iterative algorithm for the double-sided frequency-weighted case, which constructs a reduced-order model that tends to satisfy a subset of the first-order optimality conditions for the local optimum. The proposed algorithm is computationally efficient as compared to the existing algorithms. We validate the theory developed in this paper on three numerical examples.
Design and convergence analysis of numerical methods for stochastic evolution equations with Leray–Lions operator
Authors: Droniou Jérôme , Goldys Beniamin , Le Kim-Ngan 
Published: January 2021

Abstract
The gradient discretization method (GDM) is a generic framework, covering many classical methods (finite elements, finite volumes, discontinuous Galerkin, etc.), for designing and analysing numerical schemes for diffusion models. In this paper we study the GDM for a general stochastic evolution problem based on a Leray–Lions type operator. The problem contains the stochastic $p$-Laplace equation as a particular case. The convergence of the gradient scheme (GS) solutions is proved by using discrete functional analysis techniques, Skorohod theorem and the Kolmogorov test. In particular, we provide an independent proof of the existence of weak martingale solutions for the problem. In this way we lay foundations and provide techniques for proving convergence of the GS approximating stochastic partial differential equations.
The quaternionic Calabi Conjecture on abelian Hypercomplex Nilmanifolds Viewed as Tori Fibrations
Authors: Gentili Giovanni , Vezzoni Luigi 
Published: January 2021

Abstract
We study the quaternionic Calabi–Yau problem in HyperKähler manifolds with torsion geometry, introduced by Alesker and Verbitsky in [ 5], on eight-dimensional two-step nilmanifolds $M$ with an Abelian hypercomplex structure. We show that on these manifolds the quaternionic Monge–Ampère equation can always be solved for any data that are invariant under the action of a three-torus.
Nature and Dimensions of Systemic Hyperinflammation and its Attenuation by Convalescent Plasma in Severe COVID-19
Authors: Bandopadhyay Purbita , D’Rozario Ranit , Lahiri Abhishake , Sarif Jafar , Ray Yogiraj , Paul Shekhar Ranjan , Roy Rammohan , Maiti Rajshekhar , Chaudhuri Kausik , Bagchi Saugata , Maiti Ayan , Perwez Mohammed Masoom , Sarkar Biswanath Sharma , Roy Devlina , Chakraborty Rahul , Vasudevan Janani Srinivasa , Sharma Sachin , Biswas Durba , Maiti Chikam , Saha Bibhuti , Bhattacharya Prasun , Pandey Rajesh , Chatterjee Shilpak , Paul Sandip , Ganguly Dipyaman 
Published: January 2021

Abstract

Background
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing coronavirus disease 2019 (COVID-19), has led to significant morbidity and mortality. While most suffer from mild symptoms, some patients progress to severe disease with acute respiratory distress syndrome (ARDS) and associated systemic hyperinflammation.

Methods
First, to characterize key cytokines and their dynamics in this hyperinflammatory condition, we assessed abundance and correlative expression of a panel of 48 cytokines in patients progressing to ARDS as compared to patients with mild disease. Then, in an ongoing randomized controlled trial of convalescent plasma therapy (CPT), we analyzed rapid effects of CPT on the systemic cytokine dynamics as a correlate for the level of hypoxia experienced by the patients.

Results
We identified an anti-inflammatory role of CPT independent of its neutralizing antibody content.

Conclusions
Neutralizing antibodies, as well as reductions in circulating interleukin-6 and interferon-γ–inducible protein 10, contributed to marked rapid reductions in hypoxia in response to CPT.

Clinical Trial Registry of India
CTRI/2020/05/025209. http://www.ctri.nic.in/
Assessment of Attractant Lures and Monitoring Traps for Drosophila suzukii (Diptera: Drosophidae) Using Electrophysiology, Laboratory Choice Assays, and Field Trials
Authors: Little Catherine M , Dixon Peggy L , Moreau Debra L , Chapman Thomas W , Hillier N Kirk 
Published: January 2021

Abstract
Monitoring is critical to control efforts for Drosophila suzukii Matsumura, an invasive polyphagous fly that has the potential to cause significant losses in commercial soft fruit and berry production worldwide. We used an iterative process to identify trap colors, trap designs, and volatile mixtures to improve monitoring efforts in commercial blueberry, raspberry, and blackberry crops. Our results suggest that the selection of trap color and design and attractant lures should be customized to the crop in which they are deployed. In raspberries grown in high tunnel systems, DrosaLure paired with Drosal traps painted green and purple were highly specific to D. suzukii although actual capture counts were low. However, in field grown raspberries, BioLure and Multilure traps were most effective, but with significant nontarget bycatch. In blueberries, we had greatest success with a 5 µg:50 ng mixture of ethyl acetate–acetoin in a green/purple-colored jar-style trap with large (5 cm) mesh covered openings.
Sublethal Impacts of Novaluron on Tarnished Plant Bug (Hemiptera: Miridae) Adults
Authors: Catchot Beverly D , Musser F R , Gore J , Krishnan N , Cook D R , Stewart S D , Lorenz G M , Brown S , Seiter N , Catchot A L , Kerns D L , Jackson R , Knighten K S 
Published: January 2021

Abstract
Tarnished plant bug, Lygus lineolaris Palisot de Beauvois (Hemiptera: Miridae), has become a primary pest of cotton in the Midsouthern United States. Insect growth regulators such as novaluron are an important part of L. lineolaris management. While novaluron is lethal to nymphs, it does not kill adults, so it has been used when nymphs are the primary stage present. However, cotton yield protection was observed from an application of novaluron when adults were the predominant stage present. To explain this, a series of studies were conducted to examine sublethal impacts of novaluron to L. lineolaris adults. Novaluron ingestion by adults reduced hatch rate and sometimes reduced oviposition rate. Ingestion by either males or females reduced hatch rates, but the reduction was greater from female exposure. Contact exposure of adults with novaluron residues within 1 d of application reduced hatch rate by about 50%, but the impact on oviposition was inconsistent. A field study showed reduced hatch rate from contact exposure to mixed-age natural populations, but the overall net reproductive rate was not reduced. Surface exposure of eggs to novaluron did not reduce hatch rate. Overall, exposure of tarnished plant bug adults to novaluron, regardless of adult age or exposure route, reduced egg viability. However, the impact on oviposition rate and net reproductive rate varied with adult age and exposure route. This understanding of sublethal impacts of novaluron, in addition to lethal impacts on nymphs, should be considered when choosing application times to maximize effects on L. lineolaris populations.
Economic Injury Levels for Bt-resistant Helicoverpa zea (Lepidoptera: Noctuidae) in Cotton
Authors: Del Pozo-Valdivia Alejandro I , Reisig Dominic D , Braswell Lewis , Greene Jeremy K , Roberts Phillip , Taylor Sally V 
Published: January 2021

Abstract
Thresholds for Helicoverpa zea (Boddie) in cotton Gossypium hirsutum L. have been understudied since the widespread adoption of Bt cotton in the United States. Our study was possible due to the widespread presence of H. zea populations with Cry-toxin resistance. We initiated progressive spray timing experiments using three Bt cotton brands (Deltapine, Stoneville, and Phytogen) widely planted across the U.S. Cotton Belt expressing pyramided toxins in the Cry1A, Cry2, and Vip3Aa19 families. We timed foliar insecticide treatments based on week of bloom to manipulate H. zea populations in tandem with crop development during 2017 and 2018. We hypothesized that non-Bt cotton, cotton expressing Cry toxins alone, and cotton expressing Cry and Vip3Aa19 toxins would respond differently to H. zea feeding. We calculated economic injury levels to support the development of economic thresholds from significant responses. Pressure from H. zea was high during both years. Squares and bolls damaged by H. zea had the strongest negative yield associations, followed by larval number on squares. There were fewer yield associations with larval number on bolls and with number of H. zea eggs on the plant. Larval population levels were very low on varieties expressing Vip3Aa19. Yield response varied across experiments and varieties, suggesting that it is difficult to pinpoint precise economic injury levels. Nonetheless, our results generally suggest that current economic thresholds for H. zea in cotton are too high. Economic injury levels from comparisons between non-Bt varieties and those expressing only Cry toxins could inform future thresholds once H. zea evolves resistance to Vip3Aa19.
Dualities for Bounded Prelinear Hilbert Algebras
Authors: San Martín Hernán J , Sígal Valeria A 
Published: January 2021

Abstract
This paper deals about dualities for bounded prelinear Hilbert algebras. In particular, we give an Esakia-style duality between the algebraic category of bounded prelinear Hilbert algebras and a category of H-spaces whose morphisms are certain continuous p-morphisms.
Air Pollution Monitoring Using WSN Nodes with Machine Learning Techniques: A Case Study
Authors: Rosero-Montalvo Paul D , López-Batista Vivian F , Arciniega-Rocha Ricardo , Peluffo-Ordóñez Diego H 
Published: January 2021

Abstract
Air pollution is a current concern of people and government entities. Therefore, in urban scenarios, its monitoring and subsequent analysis is a remarkable and challenging issue due mainly to the variability of polluting-related factors. For this reason, the present work shows the development of a wireless sensor network that, through machine learning techniques, can be classified into three different types of environments: high pollution levels, medium pollution and no noticeable contamination into the Ibarra City. To achieve this goal, signal smoothing stages, prototype selection, feature analysis and a comparison of classification algorithms are performed. As relevant results, there is a classification performance of 95% with a significant noisy data reduction.
Analysis of Differentially Expressed Genes ofChrysoperla sinicaRelated to Flight Capacity by Transcriptome
Authors: Liu Zhong-Fang , Liang Yao-yao , Sun Xiao-ting , Yang Jing , Zhang Peng-Jiu , Gao Yue , Fan Jian-Bin , Fan Ren-Jun 
Published: January 2021

AbstractThe lacewing Chrysoperla sinica (Tjeder) is a common natural enemy of many insect pests in China and is frequently employed for biological control programs. Adults make migratory flights after emergence, which reduces their effectiveness as biological control agents. Previously, we proved that 2-d-old unmated females exhibited significantly stronger flight ability than 3-d-old ones. Meanwhile, 3-d-old unmated adults flew significantly longer distances than mated ones. In this study, Illumina RNA sequencing was performed to characterize differentially expressed genes (DEGs) between virgin and mated adults of different ages in a single female strain of C. sinica. In total, 713,563,726 clean reads were obtained and de novo assembled into 109,165 unigenes with an average length of 847 bp (N50 of 1,754 bp), among which 4,382 (4.01%) unigenes matched known proteins. Based on these annotations, many putative transcripts were related to C. sinica’s flight capacity and muscle structure, energy supply, growth, development, environmental adaptability, and metabolism of nutritional components and bioactive components. In addition, the differential expression of transcripts between different ages and mating status were analyzed, and DEGs participating in flight capacity and muscles were detected, including glutathione hydrolase, NAD-specific glutamate dehydrogenase, aminopeptidase, and acidic amino acid decarboxylase. The DEGs with functions associated with flight capacity and muscles exhibited higher transcript levels for younger (2 d--old) virgins. This comprehensive C. sinica transcriptomic data provide a foundation for a better understanding of the molecular mechanisms underlying the flight capacity to meet the physiological demands of flight muscles in C. sinica.
Examination of incidence, mortality and disability-adjusted life years and risk factors of breast cancer in 49 Asian countries, 1990–2019: estimates from Global Burden of Disease Study 2019
Authors: Sharma Rajesh 
Published: January 2021

AbstractBackgroundThis study presents an up-to-date, comprehensive and comparative examination of breast cancer’s temporal patterns in females in Asia in last three decades.MethodsThe estimates of incidence, mortality, disability-adjusted-life-years and risk factors of breast cancer in females in 49 Asian countries were retrieved from Global Burden of Disease 2019 study.ResultsIn Asia, female breast cancer incidence grew from 245 045[226 259–265 260] in 1990 to 914 878[815 789–1025 502] in 2019 with age-standardized incidence rate rising from 21.2/100 000[19.6–22.9] to 35.9/100 000[32.0–40.2] between 1990 and 2019. The death counts more than doubled from 136 665[126 094–148 380] to 337 822[301 454–375 251]. The age-standardized mortality rate rose marginally between 1990 and 2019 (1990: 12.1[11.0–13.1]; 2019: 13.4[12.0–14.9]). In 2019, age-standardized incidence rate varied from 17.2/100 000[13.95–21.4] in Mongolia to 122.5[92.1–160.7] in Lebanon and the age-standardized mortality rate varied 4-fold from 8.0/100 000 [7.2–8.8] in South Korea to 51.9[39.0–69.8] in Pakistan. High body mass index (5.6%), high fasting plasma glucose (5.6%) and secondhand smoke (3.5%) were the main contributory risk factors to all-age disability-adjusted-life-years due to breast cancer in Asia.ConclusionWith growing incidence, escalating dietary and behavioural risk factors and lower survival rates due to late-disease presentation in low- and medium-income countries of Asia, breast cancer has become a significant public health threat. Its rising burden calls for increasing breast cancer awareness, preventive measures, early-stage detection and cost-effective therapeutics in Asia.
The origin of low-surface-brightness galaxies in the dwarf regime
Authors: Jackson R A , Martin G , Kaviraj S , Ramsøy M , Devriendt J E G , Sedgwick T , Laigle C , Choi H , Beckmann R S , Volonteri M , Dubois Y , Pichon C , Yi S K , Slyz A , Kraljic K , Kimm T , Peirani S , Baldry I 
Published: January 2021

ABSTRACT
Low-surface-brightness galaxies (LSBGs) – defined as systems that are fainter than the surface-brightness limits of past wide-area surveys – form the overwhelming majority of galaxies in the dwarf regime (M⋆ &lt; 109 M⊙). Using NewHorizon, a high-resolution cosmological simulation, we study the origin of LSBGs and explain why LSBGs at similar stellar mass show the large observed spread in surface brightness. NewHorizon galaxies populate a well-defined locus in the surface brightness–stellar mass plane, with a spread of ∼3 mag arcsec−2, in agreement with deep Sloan Digital Sky Survey (SDSS) Stripe 82 data. Galaxies with fainter surface brightnesses today are born in regions of higher dark matter density. This results in faster gas accretion and more intense star formation at early epochs. The stronger resultant supernova feedback flattens gas profiles at a faster rate, which, in turn, creates shallower stellar profiles (i.e. more diffuse systems) more rapidly. As star formation declines towards late epochs ( z &lt; 1), the larger tidal perturbations and ram pressure experienced by these systems (due to their denser local environments) accelerate the divergence in surface brightness, by increasing their effective radii and reducing star formation, respectively. A small minority of dwarfs depart from the main locus towards high surface brightnesses, making them detectable in past wide surveys (e.g. standard-depth SDSS images). These systems have anomalously high star formation rates, triggered by recent fly-by or merger-driven starbursts. We note that objects considered extreme or anomalous at the depth of current data sets, e.g. ‘ultra-diffuse galaxies’, actually dominate the predicted dwarf population and will be routinely visible in future surveys like the Legacy Survey of Space and Time (LSST).
A source of gamma rays coincident with the shell of the supernova remnant CTB 80
Authors: Araya M , Herrera C 
Published: January 2021

ABSTRACT
CTB 80 (G69.0+2.7) is a relatively old (50–80 kyr) supernova remnant (SNR) with a complex radio morphology showing three extended radio arms and a radio and X-ray nebula near the location of the pulsar PSR B1951+32. We report on a study of the GeV emission in the region of CTB 80 with Fermi-Large Area Telescope data. An extended source with a size of 1.3°, matching the size of the infrared shell associated to the SNR, was discovered. The GeV emission, detected up to an energy of ∼20 GeV, is more significant at the location of the northern radio arm where previous observations imply that the SNR shock is interacting with ambient material. Both hadronic and leptonic scenarios can reproduce the multiwavelength data reasonably well. The hadronic cosmic ray energy density required is considerably larger than the local Galactic value and the gamma-ray leptonic emission is mainly due to bremsstrahlung interactions. We conclude that GeV particles are still trapped or accelerated by the SNR producing the observed high-energy emission when interacting with ambient material.
A minimal timescale for the continuum in 4U 1608-52 and Aql X-1
Authors: Mohamed K , Sonbas E , Dhuga K S , Göğüş E , Tuncer A , Abd Allah N N , Ibrahim A 
Published: January 2021

ABSTRACT
Similar to black hole X-ray binary transients, hysteresis-like state transitions are also seen in some neutron-star X-ray binaries. Using a method based on wavelets and light curves constructed from archival Rossi X-ray Timing Explorer observations, we extract a minimal timescale over the complete range of transitions for 4U 1608-52 during the 2002 and 2007 outbursts and the 1999 and 2000 outbursts for Aql X-1. We present evidence for a strong positive correlation between this minimal timescale and a similar timescale extracted from the corresponding power spectra of these sources.
A parsec-scale faint jet in the nearby changing-look Seyfert galaxy Mrk 590
Authors: Yang Jun , van Bemmel Ilse , Paragi Zsolt , Komossa S , Yuan Feng , Yang Xiaolong , An Tao , Koay J Y , Reynolds C , Oonk J B R , Liu Xiang , Wu Qingwen 
Published: January 2021

ABSTRACT
Broad Balmer emission lines in active galactic nuclei (AGN) may display dramatic changes in amplitude, even disappearance and re-appearance in some sources. As a nearby galaxy at a redshift of z = 0.0264, Mrk 590 suffered such a cycle of Seyfert type changes between 2006 and 2017. Over the last 50 yr, Mrk 590 also underwent a powerful continuum outburst and a slow fading from X-rays to radio wavelengths with a peak bolometric luminosity reaching about 10 per cent of the Eddington luminosity. To track its past accretion and ejection activity, we performed very long baseline interferometry (VLBI) observations with the European VLBI Network (EVN) at 1.6 GHz in 2015. The EVN observations reveal a faint (∼1.7 mJy) radio jet extending up to ∼2.8 mas (projected scale ∼1.4 pc) toward north, and probably resulting from the very intensive AGN activity. To date, such a parsec-scale jet is rarely seen in the known changing-look AGN. The finding of the faint jet provides further strong support for variable accretion as the origin of the type changes in Mrk 590.
Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench
Authors: Chazarra-Gil Ruben , van Dongen Stijn , Kiselev Vladimir Yu , Hemberg Martin 
Published: January 2021

AbstractAs the cost of single-cell RNA-seq experiments has decreased, an increasing number of datasets are now available. Combining newly generated and publicly accessible datasets is challenging due to non-biological signals, commonly known as batch effects. Although there are several computational methods available that can remove batch effects, evaluating which method performs best is not straightforward. Here, we present BatchBench (https://github.com/cellgeni/batchbench), a modular and flexible pipeline for comparing batch correction methods for single-cell RNA-seq data. We apply BatchBench to eight methods, highlighting their methodological differences and assess their performance and computational requirements through a compendium of well-studied datasets. This systematic comparison guides users in the choice of batch correction tool, and the pipeline makes it easy to evaluate other datasets.