bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robust point‐to‐point iterative learning control for constrained systems: A minimum energy approach
Authors: Zhou Chenhui , Tao Hongfeng , Chen Yiyang , Stojanovic Vladimir , Paszke Wojciech 
Published: September 2022

AbstractIterative learning control (ILC) is a high performance control scenario that is widely applied to systems that repeat a given task or operation defined over a finite duration, and has been introduced to point‐to‐point motion tasks in existing work. However, its design degree of freedom has not been fully utilized to optimize performance beyond tracking accuracy in constrained conditions. The framework of point‐to‐point ILC in this article is extended within discrete linear time‐invariant (LTI) system, so as to take the tracking time instants of desired positions as changing variables. Therefore, it is possible to achieve the objective of minimizing energy while maintaining the required tracking accuracy. The multiobjective optimization problem is divided into two sub‐problems, which are solved with an iterative algorithm composed of norm‐optimal ILC approach as well as the coordinate descend method. Furthermore, the impact of model uncertainty on algorithm performance is also considered, and the iterative algorithm is further extended to capture constrained systems. The algorithm is robust to the model uncertainty and has a certain robustness to output disturbances. Finally, the validity of the proposed algorithm is verified by a twin rotor aerodynamic system (TRAS) model.
Einstein-Gauss-Bonnet black strings at large α
Authors: Suzuki Ryotaku , Tomizawa Shinya 
Published: September 2022

Abstract
The simplest black string in higher-dimensional general relativity (GR) is perhaps the direct product of a Schwarzschild spacetime and a flat spatial direction. However, it is known that the Einstein-Gauss-Bonnet theory does not allow such a trivial and simple solution. We propose a novel analytic technique, which assumes that the Gauss-Bonnet (GB) term becomes dominant over the Einstein-Hilbert (EH) term. Assuming the dimensionless coupling constant α normalized by the horizon scale is large enough, we find that the spacetime is separated into the GB region and GR region, which are matched via the transition region where the GB and EH terms are comparable. Using this large α approximation, we indeed construct new analytic solutions of black strings, from which we analytically compute various physical quantities of black strings at large α. Moreover, we confirm that all these analytic results are consistent with the numerical calculation. We also discuss the possible extension to general Einstein-Lovelock black holes.
The traces of imagination: early attention bias toward positively imagined stimuli
Authors: Bär Hannah E. , Werthmann Jessica , Paetsch Andreas , Renner Fritz 
Published: September 2022

AbstractPositively imagined activities may capture visual attention due to an increase in positive value. Increasing attention toward activities, in turn, may prove useful for clinical interventions aiming to motivate behavioral engagement. Employing a within-subject experimental design, we examined the effect of positive imagery on attention using a visual probe task with concurrent eye tracking. Adults from the general population (N = 54) imagined performing activities involving visually presented objects in a positive (focusing on the positive emotional impact) or neutral (focusing on a neutral circumstance) manner. They then completed a visual probe task using picture stimuli depicting one object per type of imagery. Positive compared to neutral imagery increased self-reported behavioral motivation and biased the direction, but not the duration, of gaze toward objects associated with the imagined activities. An exploratory analysis showed a positive association between the direction bias and depressive symptoms. Our findings build on existing literature on positive imagery as a motivational amplifier by highlighting early attention as an underlying cognitive mechanism.
Heart rate variability and fatigue in MS: two parallel pathways representing disseminated inflammatory processes?
Authors: Garis Guadalupe , Haupts Michael , Duning Thomas , Hildebrandt Helmut 
Published: September 2022

Abstract
Background
Fatigue is a disabling symptom of multiple sclerosis. Its biological causes are still poorly understood. Several years ago, we proposed that fatigue might be the subjective representation of inflammatory processes. An important step for a straight-forward evaluation of our model would be to show that the level of fatigue is associated with vagal activation. The heart rate is under partial control of the vagus nerve. Using power spectrum analysis allows to separate, at least partly, sympathetic and parasympathetic impact on heart rate variability.

Methods
This narrative review summarizes the evidence for heart rate variability changes in MS patients, their relationship with fatigue and disease course. To do this, we conducted a literature search, including 45 articles relevant to the topic treated in this review.

Results
We illustrate that (1) inflammation leads to a change in cardiac behavior during acute and chronic phases, both in animals and in humans; (2) MS patients show changes of heart rate variability (HRV) that resemble those during acute and chronic inflammation due to multiple causes; (3) existing evidence favors a set of specific predictions about fatigue and parallel HRV changes; and (4) that MS-related brainstem lesions or neurological impairments do not completely explain HRV changes, leaving enough place for an explanatory relation between HRV and fatigue.

Discussion
We discuss the results of this review in relation to our model of fatigue and propose several observational and experimental studies that could be conducted to gain a better insight into whether fatigue and HRV can be interpreted as a common pathway, both reflecting activated autoimmune processes in MS patients.
Border Control Reinterpreted: Collective Memory and the Narrative Self
Authors: Gyollai Daniel 
Published: September 2022

AbstractThis article explores the potential of historical narratives to inform and guide action, taking the case of border control in Hungary. The Hungarian government has recently criminalised irregular border crossing and made a comparison between the Ottoman Occupation and contemporary challenges of mass migration to legitimise its new measures. Qualitative interviews conducted in 2019 seem to suggest that some members of the border police, consciously or unconsciously, have drawn from this narrative repertoire to make sense of their own role in border control. Drawing on the concept of thenarrative self,the article outlines how the collective memory of the Ottoman conquest may have shaped the understanding of mass migration and the self-interpretation of those involved in border control.
Representativeness of the particulate matter pollution assessed by an official monitoring station of air quality in Santiago, Chile: projection to human health
Authors: Préndez Margarita , Nova Patricio , Romero Hugo , Mendes Flávio , Fuentealba Raúl 
Published: September 2022

AbstractSantiago, capital city of Chile, presents air pollution problems for decades mainly by particulate matter, which significantly affects population health, despite national authority efforts to improve air quality. Different properties of the particulate matter (PM10, PM2.5 and PM1 fractions, particle surface and number) were measured with an optical spectrometer. The sampling was done during spring 2019 at different sites within the official representative area of Independencia monitoring station (ORMS-IS). The results of this study evidence large variations in PM mass concentration at small-scale areas within the ORMS-IS representative zone, which reports the same value for the total area. Results from PM properties such as PM1, particle number and particle surface distribution show that these properties should be incorporated in regular monitoring in order to improve the understanding of the effects of these factors on human health. The use of urban-climate canopy-layer models in a portion of the sampled area around the monitoring station demonstrates the influence of street geometry, building densities and vegetation covers on wind velocity and direction. These factors, consequently, have an effect on the potential for air pollutants concentrations. The results of this study evidence the existence of hot spots of PM pollution within the area of representativeness of the ORMS-IS. This result is relevant from the point of view of human health and contributes to improve the effectiveness of emission reduction policies.
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code
Authors: Borovits Nemania , Kumara Indika , Di Nucci Dario , Krishnan Parvathy , Palma Stefano Dalla , Palomba Fabio , Tamburri Damian A. , Heuvel Willem-Jan van den 
Published: September 2022

AbstractLinguistic anti-patterns are recurring poor practices concerning inconsistencies in the naming, documentation, and implementation of an entity. They impede the readability, understandability, and maintainability of source code. This paper attempts to detect linguistic anti-patterns in Infrastructure-as-Code (IaC) scripts used to provision and manage computing environments. In particular, we consider inconsistencies between the logic/body of IaC code units and their short text names. To this end, we proposeFindICIa novel automated approach that employs word embedding and classification algorithms. We build and use the abstract syntax tree of IaC code units to create code embeddings used by machine learning techniques to detect inconsistent IaC code units. We evaluated our approach with two experiments on Ansible tasks systematically extracted from open source repositories for various word embedding models and classification algorithms. Classical machine learning models and novel deep learning models with different word embedding methods showed comparable and satisfactory results in detecting inconsistent Ansible tasks related to the top-10 used Ansible modules.
Influence of the Aliphatic Chain Length on the Crosslinking Properties of Aldehydes on Sustainable Bioplastics Obtained from Pea Protein
Authors: Perez-Puyana V. , Jiménez-Rosado M. , Escribano D. , Romero A. , Martínez I. 
Published: September 2022

AbstractConventional plastics can be substituted for protein-based bioplastics due to their natural origin and their biodegradability. Nevertheless, their properties are inferior to those obtained for synthetic plastics. The chemical crosslinking of these bioplastics with aldehydes could improve their properties to compete in the actual market. Thus, the main goal of this article was to assess the influence of the incorporation of aldehydes with different aliphatic chain length on the physicochemical (crosslinking degree, colour and transparency), mechanical (flexural and tensile behaviour) and functional (water uptake capacity and biodegradability) properties of protein-based bioplastics. In this sense, pea protein, a by-product of food industry, was used as raw material, processing it by injection moulding to obtain the bioplastics. Formaldehyde, glyoxal and glutaraldehyde were the aldehydes used as crosslinking agents. The results show the rise of the mechanical properties with the incorporation of the aldehydes, depending on the degree of crosslinking they generate. All this also causes a consequent loss of the water uptake capacity and an increase in biodegradability time. In conclusion, this work opens a new alternative to develop sustainable bioplastics that can be used in the market.
Advanced Acral Melanoma Therapies: Current Status and Future Directions
Authors: Zhang Yiqun , Lan Shijie , Wu Di 
Published: September 2022

Opinion statementMelanoma is one of the deadliest malignancies. Its incidence has been significantly increasing in most countries in recent decades. Acral melanoma (AM), a peculiar subgroup of melanoma occurring on the palms, soles, and nails, is the main subtype of melanoma in people of color and is extremely rare in Caucasians. Although great progress has been made in melanoma treatment in recent years, patients with AM have shown limited benefit from current therapies and thus consequently have worse overall survival rates. Achieving durable therapeutic responses in this high-risk melanoma subtype represents one of the greatest challenges in the field. The frequency of BRAF mutations in AM is much lower than that in cutaneous melanoma, which prevents most AM patients from receiving treatment with BRAF inhibitors. However, AM has more frequent mutations such as KIT and CDK4/6, so targeted therapy may still improve the survival of some AM patients in the future. AM may be less susceptible to immune checkpoint inhibitors because of the poor immunogenicity. Therefore, how to enhance the immune response to the tumor cells may be the key to the application of immune checkpoint inhibitors in advanced AM. Anti-angiogenic drugs, albumin paclitaxel, or interferons are thought to enhance the effectiveness of immune checkpoint inhibitors. Combination therapies based on the backbone of PD-1 are more likely to provide greater clinical benefits. Understanding the molecular landscapes and immune microenvironment of AM will help optimize our combinatory strategies.
“Can’t go with my heart, when I can’t feel what’s in it”
Authors: Ochs Matthias 
Published: September 2022

ZusammenfassungAusgehend von Systemtheorie und Konstruktivismus werden Aspekte der Konzeptualisierung von Emotionen im systemischen Ansatz skizziert. Zudem wird versucht, einige Implikationen für die Praxis der Sozialen Arbeit zu veranschaulichen
Arsenic removal from water and soils using pristine and modified biochars
Authors: Zhang Wei , Cho Yoora , Vithanage Meththika , Shaheen Sabry M. , Rinklebe Jörg , Alessi Daniel S. , Hou Chia-Hung , Hashimoto Yohey , Withana Piumi Amasha , Ok Yong Sik 
Published: September 2022

AbstractArsenic (As) is recognized as a persistent and toxic contaminant in the environment that is harmful to humans. Biochar, a porous carbonaceous material with tunable functionality, has been used widely as an adsorbent for remediating As-contaminated water and soils. Several types of pristine and modified biochar are available, and significant efforts have been made toward modifying the surface of biochars to increase their adsorption capacity for As. Adsorption capacity is influenced by multiple factors, including biomass pyrolysis temperature, pH, the presence of dissolved organic carbon, surface charge, and the presence of phosphate, silicate, sulfate, and microbial activity. Improved As adsorption in modified biochars is attributed to several mechanisms including surface complexation/precipitation, ion exchange, oxidation, reduction, electrostatic interactions, and surface functional groups that have a relatively higher affinity for As. Modified biochars show promise for As adsorption; however, further research is required to improve the performance of these materials. For example, modified biochars must be eco-friendly, cost-effective, reliable, efficient, and sustainable to ensure their widespread application for immobilizing As in contaminated water and soils. Conducting relevant research to address these issues relies on a thorough understanding of biochar modifications to date. This study presents an in-depth review of pristine and modified biochars, including their production, physicochemical properties, and As adsorption mechanisms. Furthermore, a comprehensive evaluation of biochar applications is provided in As-contaminated environments as a guide for selecting suitable biochars for As removal in the field.
Graphical Abstract
Tectonics of conservation technology
Authors: Theodossopoulos D. 
Published: September 2022

AbstractTectonics as the visual communication of creating buildings by linking the construction processes with structural form should inform the dialogue between new and existing fabric at interventions in historic buildings, but has not been mapped in the relevant theoretical debate. This paper attempts this mapping by highlighting two underlying concepts: firstly, how such a component in the vocabulary of designers informs their role in conservation; secondly the value of this communication for the user, i.e. how to appreciate historical fabric by connecting with more familiar forms and matter from contemporary architecture. The study develops around modern traits in tectonic explorations that can be used to preserve and communicate the historical ways through which construction produced architectural space: the generation of structural form and its relation to the construction processes around the nature of the main material systems (existing and new). The tectonics of composing historic and modern material systems is explored, including innovative materials like mass timber.
Race, Coloniality, and the Writing of Black and Indigenous Histories
Authors: Chira Adriana 
Published: September 2022

This essay reviews the following works:Beyond Babel: Translations of Blackness in Colonial Peru and New Granada. By Larissa Brewer-García. Cambridge, UK: Cambridge University Press, 2020. Pp. xvi + 304. $99.99 hardcover. ISBN: 9781108493000.Arqueología del mestizaje: Colonialismo y racialización. By Laura Catelli. Temuco: Ediciones Universidad de la Frontera, CLACSO, 2020. Pp. 296. ISBN: 9789562363853.Key to the New World: A History of Early Colonial Cuba. By Luis Martínez-Fernández. Gainesville: University of Florida Press, 2018. Pp. 220 + 236. $24.95 paperback. ISBN: 9781683401278.The Routledge Hispanic Studies Companion to Colonial Latin America and the Caribbean (1492–1898). Edited by Yolanda Martínez-San Miguel and Santa Arias. London: Routledge, 2021. Pp. 460. $250.00 hardcover. ISBN: 9781138092952.On Decoloniality: Concepts, Analytics, Praxis. By Walter D. Mignolo and Catherine E. Walsh. Durham, NC: Duke University Press, 2018. Pp xii + 304. $27.95 paperback. ISBN: 9780822371090.Infrastructures of Race: Concentration and Biopolitics in Colonial Mexico. By Daniel Nemser. Austin: University of Texas Press, 2017. Pp. viii + 232. $29.95 paperback. ISBN: 9781477312605.The Occupation of Havana: War, Trade, and Slavery in the Atlantic World. By Elena A. Schneider. Chapel Hill: University of North Carolina Press, 2018. Pp. 360. $39.95 hardcover. ISBN: 9781469645353.Blood and Boundaries: The Limits of Religious and Racial Exclusion in Early Modern Latin America. By Stuart B. Schwartz. Waltham, MA: Brandeis University Press, 2020. Pp. xviii + 256. $35.00 paperback. ISBN: 9781684580200.
ABSOLUTE CHRONOLOGY AT THE WATERLOGGED SITE OF LA DRAGA (LAKE BANYOLES, NE IBERIA): BAYESIAN CHRONOLOGICAL MODELS INTEGRATING TREE-RING MEASUREMENT, RADIOCARBON DATES AND MICRO-STRATIGRAPHICAL DATA
Authors: Andreaki V , Barceló J A , Antolín F , Gassmann P , Hajdas I , López-Bultó O , Martínez-Grau H , Morera N , Palomo A , Piqué R , Revelles J , Rosillo R , Terradas X 
Published: September 2022

ABSTRACTSixty-two14C dates are analyzed in combination with a recently established local floating tree-ring sequence for the Early Neolithic site of La Draga (Banyoles, northeast Iberian Peninsula). Archaeological data, radiometric and dendrochronological dates, as well as sedimentary and micro-stratigraphical information are used to build a Bayesian chronological model, using the ChronoModel 2.0 and OxCal 4.4 computer programs, and IntCal 2020 calibration curve. The dendrochronological sequence is analyzed, and partially fixed to the calendrical scale using a wiggle-matching approach. Depositional events and the general stratigraphic sequence are expressed in expanded Harris Matrix diagrams and ordered in a temporal sequence using Allen Algebra. Post-depositional processes affecting the stratigraphic sequence are related both to the phreatic water level and the contemporaneous lakeshore. The most probable chronological model suggests two main Neolithic occupations, that can be divided into no less than three different “phases,” including the construction, use and repair of the foundational wooden platforms, as well as evidence for later constructions after the reorganization of the ground surface using travertine slabs. The chronological model is discussed considering both the modern debate on the Climatic oscillations during the period 8000–4800 cal BC, and the origins of the Early Neolithic in the western Mediterranean region.
Towards Electron Energy Loss Compton Spectra Free From Dynamical Diffraction Artifacts
Authors: Mendis Budhika G , Talmantaite Alina 
Published: September 2022

Abstract
The Compton signal in electron energy loss spectroscopy (EELS) is used to determine the projected electron momentum density of states for the solid. A frequent limitation however is the strong dynamical scattering of the incident electron beam within a crystalline specimen, i.e. Bragg diffracted beams can be additional sources of Compton scattering that distort the measured profile from its true shape. The Compton profile is simulated via a multislice method that models dynamical scattering both before and after the Compton energy loss event. Simulations indicate the importance of both the specimen illumination condition and EELS detection geometry. Based on this, a strategy to minimize diffraction artifacts is proposed and verified experimentally. Furthermore, an inversion algorithm to extract the projected momentum density of states from a Compton measurement performed under strong diffraction conditions is demonstrated. The findings enable a new route to more accurate electron Compton data from crystalline specimens.
A Demonstration of a Simple Methodology of Flood Prediction for a Coastal City Under Threat of Sea Level Rise: The Case of Norfolk, VA, USA
Authors: Ezer Tal 
Published: September 2022

AbstractMany coastal cities around the world are at risk of increased flooding due to sea level rise (SLR), so here a simple flood prediction method is demonstrated for one city at risk, Norfolk, VA, on the U.S. East Coast. The probability of future flooding is estimated by extending observed hourly water level for 1927–2021 into hourly estimates until 2100. Unlike most other flood prediction methods, the approach here does not use any predetermined probability distribution function of extreme events, and instead a random sampling of past data represents tides and storm surges. The probability of flooding for 3 different flood levels and 3 different SLR projections are calculated, and the results are consistent with more sophisticated methods. Under intermediate‐low SLR projection an empirical formula is found to estimate the lower bound of flooding time, showing that water level that exceeds the high tide (Mean Higher High Water, MHHW) occurred ∼0.3% of the time in the 1960s, increased to ∼6% in 2021, and projected to occur 100% of the time by ∼2080. Under intermediate SLR projection, 1000 simulations of the probability of maximum annual water level were conducted, showing that storm surges may reach ∼2 m over MHHW by 2050 and ∼3 m over MHHW by 2100; in comparison, storm surges in Norfolk over the past 90 years reached 1.6 m only once. The method derived here could be adopted to other locations and help planning mitigations and adaptation strategies for cities at risk.