bluuebunny/crossref_metadata_2025_split huggingface dataset:
Particle filters for data assimilation based on reduced‐order data models
Authors: Maclean John , Van Vleck Erik S. 
Published: February 2021

AbstractWe introduce a framework for data assimilation (DA) in which the data is split into multiple sets corresponding to low‐rank projections of the state space. Algorithms are developed that assimilate some or all of the projected data, including an algorithm compatible with any generic DA method. The major application explored here is PROJ‐PF, a projected particle filter. The PROJ‐PF implementation assimilates highly informative but low‐dimensional observations. The implementation considered here is based on using projections corresponding to assimilation in the unstable subspace (AUS). In the context of particle filtering, the projected approach mitigates the collapse of particle ensembles in high‐dimensional DA problems, while preserving as much relevant information as possible, as the unstable and neutral modes correspond to the most uncertain model predictions. In particular, we formulate and implement numerically a projected optimal proposal particle filter (PROJ‐OP‐PF) and compare this with the standard optimal proposal and the ensemble transform Kalman filter.
Applying AI on the Battlefield: The Ethical Debates
Authors: Reichberg Gregory M. , Syse Henrik 
Published: February 2021

AbstractBecause lethal autonomous weapon systems (LAWS) are designed to make targeting decisions without the direct intervention of human agents (who are “out of the killing loop”), considerable debate has arisen on whether this mode of autonomous targeting should be deemed morally permissible. Surveying the contours of this debate, the authors first present a prominent ethical argument that has been advanced in favor of LAWS, namely, that AI-directed robotic combatants have an advantage over their human counterparts, insofar as the former operate solely on the basis of rational assessment, while the latter are often swayed by emotions that conduce to poor judgment. Several counter arguments are then presented, inter alia, (1) that emotions have a positive influence on moral judgment and are indispensable to it; (2) that it is a violation of human dignity to be killed by a machine, as opposed to being killed by a human being; and (3) that the honor of the military profession hinges on maintaining an equality of risk between combatants, an equality that would be removed if one side delegates its fighting to robots. The chapter concludes with a reflection on the moral challenges posed by human-AI teaming in battlefield settings, and how virtue ethics provides a valuable framework for addressing these challenges.
The AI and Robot Entity
Authors: Sánchez Sorondo Marcelo 
Published: February 2021

AbstractRobots are instruments of the human being who is intelligent and free. Aristotle defines being free as the one that is cause of himself or exists on his own and for himself (causa sui or causa sui ipsius). By contrast, the instrument is not a cause of itself and does not work by the power of its entity, but only by the motion imparted by the principal agent, so that the effect is not likened to the instrument but to the principal agent. From the Christian perspective, for a being to be free and a cause of himself, it is necessary that he/she be a person endowed with a spiritual and incorruptible soul, on which his or her cognitive and free activity is based. An artificially intelligent robotic entity does not meet this standard. As an artefact and not a natural reality, the AI/robotic entity is invented by human beings to fulfil a purpose imposed by human beings. It can become a perfect entity that performs operations in quantity and quality more precisely than a human being, but it cannot choose for itself a different purpose from what it was programmed for by a human being. As such, the artificially intelligent robot is a means at the service of humans.
Friendship Between Human Beings and AI Robots?
Authors: Archer Margaret S. 
Published: February 2021

AbstractIn this chapter the case for potential Robophilia is based upon the positive properties and powers deriving from humans and AI co-working together in synergy. Hence, Archer asks ‘Can Human Beings and AI Robots be Friends?’ The need to foreground social change for structure culture and agency is being stressed. Human enhancement speeded up with medical advances with artificial insertions in the body, transplants, and genetic modification. In consequence, the definition of ‘being human’ is carried further away from naturalism and human essentialism. With the growing capacities of AI robots the tables are turned and implicitly pose the question, ‘so are they not persons too?’ Robophobia dominates Robophilia, in popular imagination and academia. With AI capacities now including ‘error-detection’, ‘self-elaboration of their pre-programming’ and ‘adaptation to their environment’, they have the potential for active collaboration with humankind, in research, therapy and care. This would entail synergy or co-working between humans and AI beings.
AI/Robotics and the Poor
Authors: von Braun Joachim , Baumüller Heike 
Published: February 2021

AbstractArtificial intelligence and robotics (AI/R) have the potential to greatly change livelihoods. Information on how AI/R may affect the poor is scarce. This chapter aims to address this gap in research. A framework is established that depicts poverty and marginality conditions of health, education, public services, work, small businesses, including farming, as well as the voice and empowerment of the poor. This framework identifies points of entry of AI/R, and is complemented by a more detailed discussion of the way in which changes through AI/R in these areas may relate positively or negatively to the livelihood of the poor. Context will play an important role determining the AI/R consequences for the diverse populations in poverty and marginalized populations at risk. This chapter calls for empirical scenarios and modelling analyses to better understand the different components in the emerging technological and institutional AI/R innovations and to identify how they will shape the livelihoods of poor households and communities.
Flavor-dependent radiative corrections in coherent elastic neutrino-nucleus scattering
Authors: Tomalak Oleksandr , Machado Pedro , Pandey Vishvas , Plestid Ryan 
Published: February 2021

Abstract
We calculate coherent elastic neutrino-nucleus scattering cross sections on spin-0 nuclei (e.g. 40Ar and 28Si) at energies below 100 MeV within the Standard Model and account for all effects of permille size. We provide a complete error budget including uncertainties at nuclear, nucleon, hadronic, and quark levels separately as well as perturbative error. Our calculation starts from the four-fermion effective field theory to explicitly separate heavy-particle mediated corrections (which are absorbed by Wilson coefficients) from light-particle contributions. Electrons and muons running in loops introduce a non- trivial dependence on the momentum transfer due to their relatively light masses. These same loops, and those mediated by tau leptons, break the flavor universality because of mass-dependent electromagnetic radiative corrections. Nuclear physics uncertainties significantly cancel in flavor asymmetries resulting in subpercent relative errors. We find that for low neutrino energies, the cross section can be predicted with a relative precision that is competitive with neutrino-electron scattering. We highlight potentially useful applications of such a precise cross section prediction ranging from precision tests of the Standard Model, to searches for new physics and to the monitoring of nuclear reactors.
An Ethical Framework for Hacking Operations
Authors: Bellaby Ross W. 
Published: February 2021

AbstractIn recent years the power and reach of prominent hacker groups such as Anonymous and LulzSec has been clearly demonstrated. However, in a world where hackers are able to wield significant online power, can they do so ethically as legitimate agents? To answer this question this paper will develop an ethical framework based on the premise that hackers have exhibited instances where they have acted to protect people from harm at a time when there was no one else to do so. At its core this paper will argue that political hacking can be justified when it is done to protect the vital interests of oneself or others. Moreover, it will also argue that just because hackers are outside the state does not automatically discount them as ethical actors and that when the state fails to protect people – whether it is due to a lack of ability, political will or because the state is the source of the threat – hackers can fill the void. In order to achieve this, first it is necessary to highlight the space for hackers to operate; second, guide hacker activity by creating an ethical framework detailing what actions are justified towards what end; third, to offer mechanisms that can aid in reaching these ethically justified decisions; and as a result, inform further ethical debates on how to react to these political hackers. This means that the framework can be used to both justify and condemn hacking depending on the circumstances, allowing those on the outside to distil and evaluate a political hack, both past and present, while guiding hacker collectives by providing clearer ethical tools for determining the appropriate agendas and methods.
A chemically etched corrugated feedhorn array for D-band CMB observations
Authors: Mandelli S. , Manzan E. , Mennella A. , Cavaliere F. , Viganò D. , Franceschet C. , de Bernardis P. , Bersanelli M. , Castellano M. G. , Coppolecchia A. , Cruciani A. , Gervasi M. , Lamagna L. , Limonta A. , Masi S. , Paiella A. , Passerini A. , Pettinari G. , Piacentini F. , Tommasi E. , Volpe A. , Zannoni M. 
Published: February 2021

AbstractWe present the design, manufacturing, and testing of a 37-element array of corrugated feedhorns for Cosmic Microwave Background CMB) measurements between 140 and 170 GHz. The array was designed to be coupled to Kinetic Inductance Detector arrays, either directly (for total power measurements) or through an orthomode transducer (for polarization measurements). We manufactured the array in platelets by chemically etching aluminum plates of 0.3 mm and 0.4 mm thickness. The process is fast, low-cost, scalable, and yields high-performance antennas compared to other techniques in the same frequency range. Room temperature electromagnetic measurements show excellent repeatability with an average cross polarization level about − 20 dB, return loss about − 25 dB, first sidelobes below − 25 dB and far sidelobes below − 35 dB. Our results qualify this process as a valid candidate for state-of-the-art CMB experiments, where large detector arrays with high sensitivity and polarization purity are of paramount importance in the quest for the discovery of CMB polarizationB-modes.
First passage times for Slepian process with linear and piecewise linear barriers
Authors: Zhigljavsky Anatoly , Noonan Jack 
Published: February 2021

AbstractIn this paper, we derive explicit formulas for the first-passage probabilities of the processS(t) =W(t) −W(t+ 1), whereW(t) is the Brownian motion, for linear and piece-wise linear barriers on arbitrary intervals [0,T]. Previously, explicit formulas for the first-passage probabilities of this process were known only for the cases of a constant barrier orT≤ 1. The first-passage probabilities results are used to derive explicit formulas for the power of a familiar test for change-point detection in the Wiener process.
What Does it Mean to be a Targeted Parent? Parents’ Experiences in the Context of Parental Alienation
Authors: Tavares Ana , Crespo Carla , Ribeiro Maria Teresa 
Published: February 2021

AbstractThe term parental alienation refers to the negative influence of one parent over a child’s perception of the other parent (targeted parent). The aim of this research was to gain further understanding of targeted parents’ experience of parental alienation from their own perspectives. For this qualitative study, a thematic analysis of semi-structured interviews with eight participants aged between 33 and 51 years was conducted. The data from individual semi-structured interviews enabled the identification of four main themes: perception of personal impact, coping strategies, family relationships and support network. Parents identified a serious impairment of their physical and emotional well-being and mainly identified emotion-focused coping strategies to deal with this adverse ongoing situation. Furthermore, they reported changes in key relationships, with emphasis on difficulties in family and social contexts. The contribution of the findings to research and interventions with parents and families experiencing parental alienation are discussed.
Adaptive threshold-based alarm strategies for continuous vital signs monitoring
Authors: van Rossum Mathilde C. , Vlaskamp Lyan B. , Posthuma Linda M. , Visscher Maarten J. , Breteler Martine J. M. , Hermens Hermie J. , Kalkman Cor J. , Preckel Benedikt 
Published: February 2021

AbstractContinuous vital signs monitoring in post-surgical ward patients may support early detection of clinical deterioration, but novel alarm approaches are required to ensure timely notification of abnormalities and prevent alarm-fatigue. The current study explored the performance of classical and various adaptive threshold-based alarm strategies to warn for vital sign abnormalities observed during development of an adverse event. A classical threshold-based alarm strategy used for continuous vital signs monitoring in surgical ward patients was evaluated retrospectively. Next, (combinations of) six methods to adapt alarm thresholds to personal or situational factors were simulated in the same dataset. Alarm performance was assessed using the overall alarm rate and sensitivity to detect adverse events. Using a wireless patch-based monitoring system, 3999 h of vital signs data was obtained in 39 patients. The clinically used classical alarm system produced 0.49 alarms/patient/day, and alarms were generated for 11 out of 18 observed adverse events. Each of the tested adaptive strategies either increased sensitivity to detect adverse events or reduced overall alarm rate. Combining specific strategies improved overall performance most and resulted in earlier presentation of alarms in case of adverse events. Strategies that adapt vital sign alarm thresholds to personal or situational factors may improve early detection of adverse events or reduce alarm rates as compared to classical alarm strategies. Accordingly, further investigation of the potential of adaptive alarms for continuous vital signs monitoring in ward patients is warranted.
High tolerance to simulated root herbivory in hydroponically grown cuttings of Salix phylicifolia
Authors: Kozlov Mikhail V. , Zvereva Elena L. 
Published: February 2021

AbstractThe shortage of information regarding the effects of root damage on forest plants, especially trees and shrubs, is the most critical gap in our knowledge of belowground insect herbivory. This study examines how the tea-leaved willow, Salix phylicifolia, responds to simulated root herbivory and how nutrient availability affects these responses. Hydroponically grown cuttings were used to precisely apply the desired levels of root damage. Root: shoot ratios increased proportionally to the intensity of root damage, whereas specific leaf area, leaf water content and chlorophyll fluorescence were not affected. The removal of 2–64% of roots once in early summer and the removal of 25% of roots three times during the summer did not change biomass production by cuttings. The repeated removal of 50 and 75% of roots decreased shoot biomass and, to a lesser extent, total root production. The tolerance of tea-leaved willow to root damage was greater in low nutrient treatment than in high nutrient treatment, thus supporting the Growth Rate Model. According to this model, in low resource conditions plants do not attain their maximum growth rate and therefore have a higher capacity for regrowth after damage. We conclude that, in the absence of water limitations, tea-leaved willow shows high tolerance to root losses and is unlikely to be affected by realistic levels of root herbivory.
Automatically Building Financial Sentiment Lexicons While Accounting for Negation
Authors: Bos Thomas , Frasincar Flavius 
Published: February 2021

AbstractFinancial investors make trades based on available information. Previous research has proved that microblogs are a useful source for supporting stock market decisions. However, the financial domain lacks specific sentiment lexicons that could be utilized to extract the sentiment from these microblogs. In this research, we investigate automatic approaches that can be used to build financial sentiment lexicons. We introduce weighted versions of the Pointwise Mutual Information approaches to build sentiment lexicons automatically. Furthermore, existing sentiment lexicons often neglect negation while building the sentiment lexicons. In this research, we also propose two methods (Negated Word and Flip Sentiment) to extend the sentiment building approaches to take into account negation when constructing a sentiment lexicon. We build the financial sentiment lexicons by leveraging 200,000 messages from StockTwits. We evaluate the constructed financial sentiment lexicons in two different sentiment classification tasks (unsupervised and supervised). In addition, the created financial sentiment lexicons are compared with each other and with other existing sentiment lexicons. The best performing financial sentiment lexicon is built by combining our Weighted Normalized Pointwise Mutual Information approach with the Negated Word approach. It outperforms all the other sentiment lexicons in the two sentiment classification tasks. In the unsupervised sentiment classification task, it has, on average, a balanced accuracy of 69.4%, and in the supervised setting, a balanced accuracy of 75.1%. Moreover, the various sentiment classification tasks confirm that the sentiment lexicons could be improved by taking into account negation while building the sentiment lexicons. The improvement could be made by using one of the proposed methods to incorporate negation in the sentiment lexicon construction process.
The influence of changes in flow regime caused by dam closure on channel planform evolution: insights from flume experiments
Authors: Słowik Marcin , Kiss Kinga , Czigány Szabolcs , Gradwohl-Valkay Alexandra , Dezső József , Halmai Ákos , Marciniak Adam , Tritt Remigiusz , Pirkhoffer Ervin 
Published: February 2021

AbstractConstructions of dams influence river courses by cutting off sediment delivery and altering flow regime. We conducted flume experiments to study how sediment starvation, flow deficit and occurrence of series of floods with sediment load influence the evolution of channel planform. Results indicated that reduced flow caused a transition from a braided to incised single-thread planform with remains of inactive channels. The planform resembled rivers suffering from flow reduction caused by dams and constructions of irrigation canals (e.g., Central Platte River, USA). Simulation of series of floods with no sediment delivery caused the formation of an anabranching planform with incised main channel, alluvial islands, and side channels active at high flows. This evolution corresponds to river courses altered by sediment starvation and series of floods (e.g., the lower Drava River, Hungary). Floods with delivery of fines created a single-thread, incised channel with terraces along banks. Such channels are formed by rivers closed by dams, and compensating sediment deficit by sediment load from tributaries and/or floodplains (e.g., the Green River, USA). The flume tests demonstrated how flow and sediment deficit influence river channels and that the potential for restoration strongly depends on possibilities for the activation of sediment supply. However, restoration of pre-dam conditions is often impossible owing to other hydro technical works and land use changes. The highest restoration potential refers to the rivers compensating sediment delivery blocked by dams with tributary and floodplain resources.
Advancing the Field of Disaster Response Management: Toward a Design Science Approach
Authors: Frykmer Tove , Tehler Henrik , Uhr Christian , Wester Misse 
Published: February 2021

AbstractMultiorganizational response to emergencies and disasters requires collaboration. How to improve the collective response is therefore an essential question, but not easy to answer. In disaster research, normative research with a focus on providing evidence for how to improve professional practice has traditionally received less attention than explanatory ones. The aim of this article, using insights from design science where normative research is more common, is to suggest a complementary approach to response management research. Our approach, which combines experimental and explanatory research, is applied to a study of goal alignment. Goal alignment among response actors is often recommended despite literature’s contradictory evidence regarding its effect. We conducted an experiment with 111 participants, who, in groups of three, played a computer game under one of two conditions (goal alignment or not). Our results show that aligning goals did not improve the outcome in the game. Although this may serve as a counterargument to implementing goal alignment interventions, there are concerns with such conclusions. These reservations include, but are not limited to, the lack of validated models to use in experiments. Nevertheless, our suggested research approach and the goal alignment experiment highlight the importance of testing interventions and their effectiveness before implementation.
Maximization of the capillary pump efficiency in microfluidics
Authors: Hua Wei , Zhou Weidong , Wang Wei , Wang Zhenfeng , Wu Ruige , Zhu Liang 
Published: February 2021

AbstractThis paper studies the efficiency of capillary pump analytically in circular, square and rectangular channels with results verified by experiment. The effect of liquid momentum is analyzed with respect to channel size and equations are developed to enable most efficient fluid pumping. It is found that the momentum term is negligible at channel cross-cut area < 0.1 mm2 while it has a significant contribution at > 0.3 mm2 region. The optimized equations show that the most efficient pumping and thereby the quickest liquid filling is accomplished in square shaped channel when compared with rectangular and circular channels. Generally, the longer the filling distance, or the longer the filling time, the larger the channel size is required after optimization, and vice versa. For the rectangular channel with channel height fixed, the channel width requirement to maximize the ability of capillary pump is obtained and discussed. Experimental verifications are conducted based on the measurement of filling distance versus time, and the simulation results are well correlated with the testing results. The equations developed in the paper provide a reference for the microfluidic channel design, such that the channel filling speed can be maximized.