bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can Armed Non-state Actors Exercise Jurisdiction and Thus Become Human Rights Duty-bearers?
Authors: Müller Amrei 
Published: April 2020

Abstract
Recent literature and United Nations documents advocate that most armed non-state actors (ANSAs) should be bound by human rights law. This article takes a more critical stance on this issue. It argues that only a limited number of ANSAs should potentially become human rights duty-bearers: those that exercise de facto (human rights) jurisdiction and thus have considerable institutional and military capacities, as well as particular normative characteristics. It specifies these capacities and characteristics with an analysis of ANSAs’ practice that tentatively indicates that some of these entities may indeed exercise de facto jurisdiction. The argument is justified by highlighting the broader consequences that recognising ANSAs as human rights duty-bearers will entail. It will also endow them with privileges that will legitimise their authority over time. This is grounded in the normative logic of human rights law that emphasises the interrelationship between human rights, equality and democracy that also permeates the notion of jurisdiction and is further supported by a political understanding of the right to self-determination. The article closes with a brief sketch of two complementary ways to develop international law binding ANSAs to be further explored in future research: the so-called ‘responsibilities for human rights’ and an adapted law of occupation.
On oracle-type local recovery guarantees in compressed sensing
Authors: Adcock Ben , Boyer Claire , Brugiapaglia Simone 
Published: April 2020

Abstract
We present improved sampling complexity bounds for stable and robust sparse recovery in compressed sensing. Our unified analysis based on $\ell ^1$ minimization encompasses the case where (i) the measurements are block-structured samples in order to reflect the structured acquisition that is often encountered in applications and (ii) the signal has an arbitrary structured sparsity, by results depending on its support $S$. Within this framework and under a random sign assumption, the number of measurements needed by $\ell ^1$ minimization can be shown to be of the same order than the one required by an oracle least-squares estimator. Moreover, these bounds can be minimized by adapting the variable density sampling to a given prior on the signal support and to the coherence of the measurements. We illustrate both numerically and analytically that our results can be successfully applied to recover Haar wavelet coefficients that are sparse in levels from random Fourier measurements in dimension one and two, which can be of particular interest in imaging problems. Finally, a preliminary numerical investigation shows the potential of this theory for devising adaptive sampling strategies in sparse polynomial approximation.
Community detection on Euclidean random graphs
Authors: Abbe Emmanuel , Baccelli François , Sankararaman Abishek 
Published: April 2020

AbstractWe study the problem of community detection on Euclidean random geometric graphs where each vertex has two latent variables: a binary community label and a $\mathbb{R}^d$ valued location label which forms the support of a Poisson point process of intensity $\lambda $. A random graph is then drawn with edge probabilities dependent on both the community and location labels. In contrast to the stochastic block model (SBM) that has no location labels, the resulting random graph contains many more short loops due to the geometric embedding. We consider the recovery of the community labels, partial and exact, using the random graph and the location labels. We establish phase transitions for both sparse and logarithmic degree regimes and provide bounds on the location of the thresholds, conjectured to be tight in the case of exact recovery. We also show that the threshold of the distinguishability problem, i.e., the testing between our model and the null model without community labels exhibits no phase transition and in particular, does not match the weak recovery threshold (in contrast to the SBM).
Structural and biochemical characterization of the environmental MBLs MYO-1, ECV-1 and SHD-1
Authors: Fröhlich Christopher , Sørum Vidar , Huber Sandra , Samuelsen Ørjan , Berglund Fanny , Kristiansson Erik , Kotsakis Stathis D , Marathe Nachiket P , Larsson D G Joakim , Leiros Hanna-Kirsti S 
Published: April 2020

Abstract

Background
MBLs form a large and heterogeneous group of bacterial enzymes conferring resistance to β-lactam antibiotics, including carbapenems. A large environmental reservoir of MBLs has been identified, which can act as a source for transfer into human pathogens. Therefore, structural investigation of environmental and clinically rare MBLs can give new insights into structure–activity relationships to explore the role of catalytic and second shell residues, which are under selective pressure.

Objectives
To investigate the structure and activity of the environmental subclass B1 MBLs MYO-1, SHD-1 and ECV-1.

Methods
The respective genes of these MBLs were cloned into vectors and expressed in Escherichia coli. Purified enzymes were characterized with respect to their catalytic efficiency (kcat/Km). The enzymatic activities and MICs were determined for a panel of different β-lactams, including penicillins, cephalosporins and carbapenems. Thermostability was measured and structures were solved using X-ray crystallography (MYO-1 and ECV-1) or generated by homology modelling (SHD-1).

Results
Expression of the environmental MBLs in E. coli resulted in the characteristic MBL profile, not affecting aztreonam susceptibility and decreasing susceptibility to carbapenems, cephalosporins and penicillins. The purified enzymes showed variable catalytic activity in the order of &lt;5% to ∼70% compared with the clinically widespread NDM-1. The thermostability of ECV-1 and SHD-1 was up to 8°C higher than that of MYO-1 and NDM-1. Using solved structures and molecular modelling, we identified differences in their second shell composition, possibly responsible for their relatively low hydrolytic activity.

Conclusions
These results show the importance of environmental species acting as reservoirs for MBL-encoding genes.
Veterinary informatics: forging the future between veterinary medicine, human medicine, and One Health initiatives—a joint paper by the Association for Veterinary Informatics (AVI) and the CTSA One Health Alliance (COHA)
Authors: Lustgarten Jonathan L , Zehnder Ashley , Shipman Wayde , Gancher Elizabeth , Webb Tracy L 
Published: April 2020

AbstractObjectivesThis manuscript reviews the current state of veterinary medical electronic health records and the ability to aggregate and analyze large datasets from multiple organizations and clinics. We also review analytical techniques as well as research efforts into veterinary informatics with a focus on applications relevant to human and animal medicine. Our goal is to provide references and context for these resources so that researchers can identify resources of interest and translational opportunities to advance the field.Methods and ResultsThis review covers various methods of veterinary informatics including natural language processing and machine learning techniques in brief and various ongoing and future projects. After detailing techniques and sources of data, we describe some of the challenges and opportunities within veterinary informatics as well as providing reviews of common One Health techniques and specific applications that affect both humans and animals.DiscussionCurrent limitations in the field of veterinary informatics include limited sources of training data for developing machine learning and artificial intelligence algorithms, siloed data between academic institutions, corporate institutions, and many small private practices, and inconsistent data formats that make many integration problems difficult. Despite those limitations, there have been significant advancements in the field in the last few years and continued development of a few, key, large data resources that are available for interested clinicians and researchers. These real-world use cases and applications show current and significant future potential as veterinary informatics grows in importance. Veterinary informatics can forge new possibilities within veterinary medicine and between veterinary medicine, human medicine, and One Health initiatives.
Machine learning for early detection of sepsis: an internal and temporal validation study
Authors: Bedoya Armando D , Futoma Joseph , Clement Meredith E , Corey Kristin , Brajer Nathan , Lin Anthony , Simons Morgan G , Gao Michael , Nichols Marshall , Balu Suresh , Heller Katherine , Sendak Mark , O’Brien Cara 
Published: April 2020

AbstractObjectiveDetermine if deep learning detects sepsis earlier and more accurately than other models. To evaluate model performance using implementation-oriented metrics that simulate clinical practice.Materials and MethodsWe trained internally and temporally validated a deep learning model (multi-output Gaussian process and recurrent neural network [MGP–RNN]) to detect sepsis using encounters from adult hospitalized patients at a large tertiary academic center. Sepsis was defined as the presence of 2 or more systemic inflammatory response syndrome (SIRS) criteria, a blood culture order, and at least one element of end-organ failure. The training dataset included demographics, comorbidities, vital signs, medication administrations, and labs from October 1, 2014 to December 1, 2015, while the temporal validation dataset was from March 1, 2018 to August 31, 2018. Comparisons were made to 3 machine learning methods, random forest (RF), Cox regression (CR), and penalized logistic regression (PLR), and 3 clinical scores used to detect sepsis, SIRS, quick Sequential Organ Failure Assessment (qSOFA), and National Early Warning Score (NEWS). Traditional discrimination statistics such as the C-statistic as well as metrics aligned with operational implementation were assessed.ResultsThe training set and internal validation included 42 979 encounters, while the temporal validation set included 39 786 encounters. The C-statistic for predicting sepsis within 4 h of onset was 0.88 for the MGP–RNN compared to 0.836 for RF, 0.849 for CR, 0.822 for PLR, 0.756 for SIRS, 0.619 for NEWS, and 0.481 for qSOFA. MGP–RNN detected sepsis a median of 5 h in advance. Temporal validation assessment continued to show the MGP–RNN outperform all 7 clinical risk score and machine learning comparisons.ConclusionsWe developed and validated a novel deep learning model to detect sepsis. Using our data elements and feature set, our modeling approach outperformed other machine learning methods and clinical scores.
Phenology and Dispersal of the Wheat Stem Sawfly (Hymenoptera: Cephidae) Into Winter Wheat Fields in Nebraska
Authors: McCullough Chris T , Hein Gary L , Bradshaw Jeffrey D 
Published: April 2020

Abstract
Historically, the wheat stem sawfly, Cephus cinctus Norton was a pest in spring wheat-growing regions of the northern Great Plains. However, in the 1980s, it was found infesting winter wheat fields in Montana. Infestations were first detected in western Nebraska in the 1990s, and have since spread throughout the Nebraska Panhandle. Larval damage occurs from stem-mining, but stem girdling that results in lodged stems that are not harvested results in the greatest yield losses. The biology and phenology of the wheat stem sawfly are well described in the northern portion of its range, but they are lacking in Colorado, southeast Wyoming, and Nebraska. In this study, the phenology and dispersal of the wheat stem sawfly in Nebraska winter wheat fields is described using sweep net and larval sampling. During this 2-yr study, adult activity began on May 23 and ended on June 21. Adult sex ratios were 2.32 males per female in 2014 and 0.46 males per female in 2015. Both sexes demonstrated an edge effect within the wheat fields, with greater densities near the field edge. The edge effect was stronger for male wheat stem sawfly than females. Wheat stem sawfly larval density also had an edge effect, regardless of the density of female wheat stem sawfly present. This information will be useful for developing management plans for the wheat stem sawfly in Nebraska and neighboring regions.
“Physician’s prescriptions accurately prepared” - The Mid-Nineteenth-Century Prescription Books of Four Gloucester Chemists
Authors: Helm David P 
Published: April 2020

Abstract
Britain’s mid-nineteenth-century healthcare economy has often been described as a “medical marketplace” in which struggling doctors faced intense competition from a range of unqualified rivals. Chemists and druggists, who proliferated in industrial cities and supposedly prospered by exploiting the poor and the gullible, are widely regarded as having presented a serious threat to medical livelihoods. However, the activities of four Gloucester chemists show how the dispensing of medical prescriptions brought individual chemists and doctors closer together. Competition between chemists and druggists for this trade was intense and it was instrumental in establishing them as trusted community pharmacists and giving impetus to the process of professionalization.
Prescription books, an under-represented source in the literature, also show that customers for prescription medicines were surprisingly socially diverse and that most prescriptions were collected by women, with significant variation in dispensing activity through the week. This, and the volume of prescriptions being dispensed, suggest prescription medicines were regularly being used to treat chronic and less serious ailments, where collection could await normal shopping days. Significantly, prescriptions were the property of the patients and could be re-presented whenever they thought fit. For some patients, it thus effectively became an instrument of self-medication.
Particle diameter, signal-to-noise ratio and beam requirements for extended Rayleigh resolution measurements in the scanning electron microscope
Authors: Blackburn Arthur M , Sasaki Tomoyo 
Published: April 2020

AbstractThe extended Rayleigh resolution measure was introduced to give a generalized resolution measure that can be readily applied to imaging and resolving particles that have finite size. Here, we make a detailed analysis of the influence of the particle size on this resolution measure. We apply this to scanning electron microscopy, under simple assumption of a Gaussian electron beam intensity distribution and a directly proportional emitted signal yield without detailed consideration of scattering internal to the sample, other than being proportional to the sample thickness. From this, we produce beam-width normalized characteristics relating the particle diameter and resolution measure, while also taking consideration of the reduced signal yield that occurs from smaller particles. From our analysis of these characteristics, which we fit to experimental image data, we see that particle diameters &lt;0.7 times the beam 1/e full width, d, give agreement better than 10% with the true extended Rayleigh resolution. Furthermore, we consider the signal current that must be collected to reliably distinguish between the mid-gap and peak intensity regions in the particle images. This leads to a practical guide that the signal-to-noise ratio (SNR) occurring between large area, continuous regions made of the same materials as the particle and background should typically be 10–30 times greater than the SNR that is desired to be achieved between the peak and mid-gap regions of just resolved adjacent identical particles having diameters in the size range 0.4–0.7d.
Motivations to Help: Local Volunteer Humanitarians in US Refugee Resettlement
Authors: Yarris Kristin Elizabeth , Garcia-Millan Brenda , Schmidt-Murillo Karla 
Published: April 2020

AbstractDrawing on qualitative interviews conducted in 2017 with 29 volunteers in the US state of Oregon, in this article, we critically examine volunteers’ motivations to aid migrants and refugees in an overtly hostile political period. Our central aim is understanding what sustains local volunteer actions to offer welcome to refugees when state policies and practices are exclusionary and unwelcoming. Considering these community-based efforts as a form of volunteer humanitarianism, we discuss three central motivations for these efforts: first, personal and family histories connect volunteers in intimate ways to migrant and refugee struggles; second, volunteers are therefore affectively motivated to help, drawing on powerful emotions to sustain their efforts; and third, these local volunteer efforts strive to reimagine US citizenship and national belonging in more inclusionary ways.
Travel restrictions and infectious disease outbreaks
Authors: Vaidya Ria , Herten-Crabb Asha , Spencer Julia , Moon Suerie , Lillywhite Louis 
Published: April 2020

AbstractBackgroundA key purpose of the International Health Regulations (IHR) is to prevent unwarranted interruptions to trade and travel during large and/or transnational infectious disease outbreaks. Nevertheless, such outbreaks continue to disrupt the travel industry. This aspect of the IHR has received little attention in the academic literature despite its considerable impact on affected States and commercial activity. This article outlines the challenges and gaps in knowledge regarding the relationship between outbreaks and the travel sector and discusses the opportunities for further research and policy work to overcome these challenges.MethodologyWe conducted a literature review on the relationship between outbreaks and travel restrictions, with a particular focus on the 2014–16 Ebola epidemic in West Africa. This review was complemented by an expert roundtable at Chatham House and further supported by case studies and qualitative interviews.ResultsNumerous travel stakeholders are affected by, and affect, large-scale infectious disease outbreaks. These stakeholders react in different ways: peer pressure plays an important role for both governments and the travel sector, and the reactions of the media and public influence and are influenced by these stakeholders. While various data sources on travel are available, and World Health Organization is mandated to work with States, there is no recognized coordinating body to disseminate timely, consistent, reliable and authoritative information and best practices to all stakeholders.ConclusionThis article highlights the interdependent relationship between various travel stakeholders. The reasons for interruption of travel during the 2014–16 Ebola outbreak were complex, with decisions by States only partly contributing to the cessation. Decisions by non-state actors, particularly the travel industry itself, contributed significantly and were based on a variety of factors. Further research, analysis and policy development are required to mitigate the health and economic consequences of infectious disease outbreaks. Any further research will also need to take account of COVID-19 travel-related issues.
Diet assessments as a tool to control invasive species: comparison between Monk and Rose-ringed parakeets with stable isotopes
Authors: Borray-Escalante N A , Mazzoni D , Ortega-Segalerva A , Arroyo L , Morera-Pujol V , González-Solís J , Senar J C 
Published: April 2020

AbstractFood is a main limiting factor for most populations. As a consequence, knowledge about the diet of invasive alien species determines the design of control measures. The Monk and Rose-ringed parakeets are two typical species of successful invasive parrots that are highly appreciated by people. Although some observations suggest that Monk parakeets rely on a higher percentage of anthropogenic food than Rose-ringed parakeets, no detailed quantitative data is available. The aim of this study was to compare the diet of the two parakeets using stable isotope analysis (SIA). We performed SIA of carbon and nitrogen in feathers collected in Barcelona, Spain. We also measured isotopic ratios for potential food sources. We reconstructed the diet of parakeets using Bayesian mixing models. The two species differed in the isotopic signatures of their feathers for both δ13C and δ15N. Diet reconstruction showed that Monk parakeets feed mainly on anthropogenic food (41.7%), herbaceous plants (26.9%) and leaves/seeds (22.2%), while Rose-ringed parakeets feed mainly on flowers/fruits (44.1%), anthropogenic food provided in the trap located at the museum (32.4%) and leaves/seeds (23.1%). The more detailed information we can obtain from the diet of these species is useful to develop more effective control measures for their populations. The Monk parakeet may be more susceptible to control through education local residents, given the greater use of anthropogenic food in this species compared to Rose-ringed parakeet. Our conclusions also indicate that SIA is a powerful tool in providing crucial information about the diet and informing measures to control invasive species.
Tardigrade abundance in relation to urbanisation and highly anthropogenic substrates
Authors: McCarthy Thomas , delBarco-Trillo Javier 
Published: April 2020

Abstract
Animals colonising urban environments are exposed to a series of novel stressors and ecological challenges, which can result in adaptations to alternative urban niches. Tardigrades are cosmopolitan invertebrates present in all types of ecosystems, including urban environments; and they can survive under extreme conditions, including periods of desiccation, thus allowing them to colonise novel harsh habitats. Tardigrades are thus a promising model to investigate the challenges and opportunities encountered by urban colonisers. Our aims were 1, to determine if tardigrade abundance in natural substrates (moss, lichen and leaf litter) differs between rural and urban sites and 2, to assess if tardigrades have successfully colonised urban substrates that are highly anthropogenic (road sediment, and material accumulated under cars and in wall crevices). Among natural substrates, we found fewer tardigrades in Cork city than in rural sites. However, in urban sites we found no differences between the number of tardigrades present in natural and anthropogenic substrates. In fact, the highest tardigrade abundances in urban samples were found in abiotic material accumulated in wall crevices. We conclude that even though urbanisation may restrict tardigrade abundance, this group of organisms can successfully colonise alternative urban substrates. More research is needed on the ability of tardigrades and other taxa to inhabit highly unusual and disturbed urban substrates effectively, and the adaptations that may take place when animals colonise such substrates.