bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Review of Contact Electrification at Diversified Interfaces and Related Applications on Triboelectric Nanogenerator
Authors: Hu Jun , Iwamoto Mitsumasa , Chen Xiangyu 
Published: November 2023

AbstractThe triboelectric nanogenerator (TENG) can effectively collect energy based on contact electrification (CE) at diverse interfaces, including solid–solid, liquid–solid, liquid–liquid, gas–solid, and gas–liquid. This enables energy harvesting from sources such as water, wind, and sound. In this review, we provide an overview of the coexistence of electron and ion transfer in the CE process. We elucidate the diverse dominant mechanisms observed at different interfaces and emphasize the interconnectedness and complementary nature of interface studies. The review also offers a comprehensive summary of the factors influencing charge transfer and the advancements in interfacial modification techniques. Additionally, we highlight the wide range of applications stemming from the distinctive characteristics of charge transfer at various interfaces. Finally, this review elucidates the future opportunities and challenges that interface CE may encounter. We anticipate that this review can offer valuable insights for future research on interface CE and facilitate the continued development and industrialization of TENG.
Towards Dependent Race Models for the Stop-Signal Paradigm
Authors: Colonius Hans , Jahansa Paria , Joe Harry , Diederich Adele 
Published: November 2023

AbstractThe race model for stop signal processing is based on the assumption of context independence between the go and stop process. Recent empirical evidence inconsistent with predictions of the independent race model has been interpreted as a failure of context independence. Here we demonstrate that, keeping context independence while assuming stochastic dependency between go and stop processing, one can also account for the observed violations. Several examples demonstrate how stochastically dependent race models can be derived from copulas, a rapidly developing area of statistics. The non-observability of stop signal processing time is shown to be equivalent to a well known issue in random dependent censoring.
Was the Rule of Law the Only Casualty of Polity Design in the New Latin American Constitutionalism?
Authors: Barrios-Suvelza Franz Xavier 
Published: November 2023

AbstractThe objective of this article is to introduce a new concept for grouping all countermajoritarian instruments which became the true casualties of polity design during the New Latin American Constitutionalism (NLAC). This theoretical endeavor, which has not been undertaken until now, will be discussed on the basis of the constitutional upheavals that occurred between 1999 and 2009 in Venezuela, Ecuador, and Bolivia. By addressing a specific theme of this experience, namely its implications for the relationship between democracy and countermajoritarian devices, this article shows why an aggregating concept such as state ataraxy is needed. This concept fills the gap that hinders understanding of what has been institutionally dismantled in the course of these reforms. The article then challenges the claim that with the collapse of countermajoritarian institutions, democracy necessarily collapses. It concludes with a new assessment of the novelty that the NLAC may have brought concerning the tension between democracy and countermajoritarian institutions. The findings contribute to understand one of the most enduring concerns of state theory in general, the tension between democracy and the rule of law.
Environmental, Social, and Governance Considerations in Production Scheduling Optimisation for Sublevel Stoping Mining Operations: a Review of Relevant Works and Future Directions
Authors: Ullah G. M. Wali , Nehring Micah , Kizil Mehmet , Knights Peter 
Published: November 2023

AbstractIn operations that use the sublevel stoping mining method, production scheduling takes into account factors, including ore reserve envelopes, ore grade averages, equipment capacity, feed controls to the mill, and geotechnical restrictions, across the scheduling horizon. Mathematical programming is one of the most effective methods for enhancing the decision-making process in regard to the most viable production schedule in light of a given set of limitations. The majority of research on sublevel stope mining focuses primarily on a single objective of optimisation, which is to maximise the net present value (NPV). Environmental, social, and governance (ESG) considerations are becoming more prevalent in the mining industry. This includes aspects relating to deforestation, land disturbances, gas emissions, community relations, and water usage, among many others. Institutional and other kinds of investors are becoming more interested in the work that resource companies do regarding their ESG obligations. This review article identifies the gap in the existing literature and proposes to simultaneously optimise the production schedule around three objectives. Two of these relate directly to ESG aspects.
A documentation checklist for (Linked) humanities data
Authors: Middle Sarah 
Published: November 2023

AbstractDocumentation, including information, instructions, and use cases, is key to reproducibility in Digital Humanities research and usability of resulting tools and resources. However, despite multiple studies that support this assertion, clear and comprehensive documentation is often lacking due to fundamental incompatibilities with existing funding models and the resulting prioritisation of project tasks. Through a user study of researchers involved in using and producing Linked Ancient World Data, supplemented by existing literature, I identified components for inclusion in documentation to facilitate use of these tools and resources, as well as the reproducibility of methods used in their production. At the same time, it became clear that producers would benefit from a solution to simplify the process of documentation creation. As a result, I assembled a documentation checklist whose scope for application reaches beyond Linked Ancient World Data to other Humanities disciplines and digital methods. This paper starts by discussing previous work, before providing an overview of my survey and interview methods. I then present my findings and discuss their implications for future research and development, including an introduction to the checklist and its implementation. To conclude, I draw together threads from the preceding sections and suggest wider structural changes to further facilitate and promote transparency and reproducibility in Digital Humanities.
High hopes but aiming low? Explaining why some families with high educational aspirations do not choose the academic track in German secondary education
Authors: Bittmann Felix 
Published: November 2023

AbstractSelecting a school track after primary schooling is an early and highly influential decision families have to make in the German educational system. Usually, families with high educational aspirations choose the academic track since it is the direct pathway to higher education eligibility, yet there are families selecting another track. Explaining this decision is highly relevant since it is known that other tracks can divert aspirations away from the initial high goals, resulting in overall lower educational achievements. The present study analyzes the National Educational Panel Study (NEPS) dataset to investigate predictors of academic track selection (N > 1500). As dominance analyses show, the overall share of variance that all factors can explain is relatively low (ca. 13%), and only the teacher recommendation and the federal state of residence contribute meaningfully to this total share. Overall, it remains unclear what drives the decision, and other explanatory approaches should be investigated.
Colocations of spatial clusters among different industries
Authors: Inoue Ryo , Shiode Shino , Shiode Narushige 
Published: November 2023

AbstractSpatial colocation has been studied in many contexts including locations of urban facilities, industry entities and businesses. However, identifying colocations among a small number of facilities and establishments holds the risk of introducing false positive in that such a spatial arrangement may have occurred by chance. To account for the association between a group of facilities that frequently colocate with each other, this study proposes a two-step approach consisting of identifying statistically significant clusters of each facility type using the False Discovery Rate (FDR) controlling procedure, and subsequently measuring the colocation of those clusters with the frequent-pattern-growth (FP-growth) algorithm. Empirical analysis of 6 million business and industrial establishments across Japan suggests that 10 out of 86 industry types form clear colocations and their colocations form a multi-layered, cascading structure. The number of layers in the multi-layered structure reflect the city size and the strength of the association between the colocated clusters of industries. These patterns illustrate the utility of detecting colocation of clusters towards understanding the agglomeration of different businesses. The proposed method can be applied to other contexts that would benefit from investigations into how different types of spatial features can be linked with each other and how they form colocations.
Readers matter: seven transactions with the visual, linguistic and material elements in a picture book
Authors: Colton Jill , Serafini Frank , Lovett Therese , Forrest Sarah , Gale Julie , Gehling Kerry , Shin Anne-Marie , Carter Jenni 
Published: November 2023

AbstractIn this paper, we draw upon Rosenblatt’s transactional theory of reading to frame six readings of a picture book. The picture book, There’s a Ghost in This House by Oliver Jeffers, was selected for a children’s literature reading group which brought together literacy researchers and teacher educators to share their encounters with the text. The question “How did you read the book?” provoked us to examine how we had transacted with the text to generate interpretations. This work was presented at the “Stories that Matter” seminar alongside the other papers appearing in this special edition of the Australian Journal of Language and Literacy. In this paper, we highlight our own roles as readers encountering Jeffer’s book and reflect on our own responses as a way of explaining the multiple readings we present. We emphasise the place of intertextuality and intratextuality in reader response and argue that Rosenblatt’s transactional theory continues to be an important way of understanding what it means to read, including the reading of multimodal texts which combine linguistic, visual and material modes.
Reducing laser beam fluence and intensity fluctuations in symmetric and asymmetric compressors
Authors: Khazanov Efim 
Published: November 2023

AbstractAll space–time coupling effects arising in an asymmetric optical compressor consisting of two non-identical pairs of diffraction gratings are described analytically. In each pair, the gratings are identical and parallel to each other, whereas the distance between the gratings, the groove density and the angle of incidence are different in different pairs. It is shown that the compressor asymmetry does not affect the far-field fluence and on-axis focal intensity. The main distinctive feature of the asymmetric compressor is spatial noise lagging behind or overtaking the main pulse in proportion to the transverse wave vector. This results in a degraded contrast but reduces beam fluence fluctuations at the compressor output. Exact expressions are obtained for the spectrum of fluence fluctuations and fluence root mean square that depends only on one parameter characterizing compressor asymmetry. The efficiency of small-scale self-focusing suppression at subsequent pulse post-compression is estimated.
Delayed versus primary closure to minimize risk of surgical-site infection for complicated appendicitis: A secondary analysis of a randomized trial using counterfactual prediction modeling
Authors: Tansawet Amarit , Siribumrungwong Boonying , Techapongsatorn Suphakarn , Numthavaj Pawin , Poprom Napaphat , McKay Gareth J. , Attia John , Thakkinstian Ammarin 
Published: November 2023

AbstractObjective:To evaluate the risk of surgical site infection (SSI) following complicated appendectomy in individual patients receiving delayed primary closure (DPC) versus primary closure (PC) after adjustment for individual risk factors.Design:Secondary analysis of randomized controlled trial (RCT) with prediction model.Setting:Referral centers across Thailand.Participants:Adult patients who underwent appendectomy via a lower-right-quadrant abdominal incision due to complicated appendicitis.Methods:A secondary analysis of a published RCT was performed applying a counterfactual prediction model considering interventions (PC vs DPC) and other significant predictors. A multivariable logistic regression was applied, and a likelihood-ratio test was used to select significant predictors to retain in a final model. Factual versus counterfactual SSI risks for individual patients along with individual treatment effect (iTE) were estimated.Results:In total, 546 patients (271 PC vs 275 DPC) were included in the analysis. The individualized prediction model consisted of allocated intervention, diabetes, type of complicated appendicitis, fecal contamination, and incision length. The iTE varied between 0.4% and 7% for PC compared to DPC; ∼38.1% of patients would have ≥2.1% lower SSI risk following PC compared to DPC. The greatest risk reduction was identified in diabetes with ruptured appendicitis, fecal contamination, and incision length of 10 cm, where SSI risks were 47.1% and 54.1% for PC and DPC, respectively.Conclusions:In this secondary analysis, we found that most patients benefited from early PC versus DPC. Findings may be used to inform SSI prevention strategies for patients with complicated appendicitis.
Microbiological characteristics, transmission routes, and mitigation measures in bronchoscope-associated investigations: Summary of Centers for Disease Control and Prevention (CDC) consultations, 2014–2022
Authors: Solanky Dipesh , Bardossy Ana Cecilia , Novosad Shannon , Moulton-Meissner Heather , Arduino Matthew , Perkins Kiran M. 
Published: November 2023

AbstractIn this summary of US Centers for Disease Control and Prevention (CDC) consultations with state and local health departments concerning their bronchoscope-associated investigations from 2014 through 2022, bronchoscope reprocessing gaps and exposure to nonsterile water sources appeared to be the major routes of transmission of infectious pathogens, which were primarily water-associated bacteria.
Novel basal bark and cut stump herbicide treatments for Brazilian peppertree (Schinus terebinthifolia) management
Authors: Bell Mackenzie E. , Enloe Stephen F. , Leary James K. , Lauer Dwight K. 
Published: November 2023

AbstractBrazilian peppertree (Schinus terebinthifolia Raddi) is an aggressive shrub that infests more than 280,000 ha in Florida. Individual plant treatments (IPT), including basal bark and cut stump application with triclopyr butoxyethylester and triethylamine formulations, respectively, have been used for decades. While they are both effective, resprouting can occur, which requires retreatment for control. Recent research on other woody invasive plants has indicated additional non-crop herbicides used in natural areas can be effective with these IPT techniques and therefore warrant testing on S. terebinthifolia. In 2018 and 2019, basal bark and cut stump studies were conducted at Cape Canaveral Air Force Station in natural areas infested with S. terebinthifolia. In the basal bark application studies, we found aminocyclopyrachlor applied at 12 and 24 g L−1 and triclopyr acid applied at 34 and 69 g L−1 each provided 100% defoliation of multistemmed S. terebinthifolia individuals with a mean root collar diameter up to 20.2 cm at 360 d after treatment (DAT). These were not different from triclopyr ester applied at 96 g L−1. Imazamox applied at 30 g L−1 resulted in 86% defoliation at 360 DAT. However, we observed formulation incompatibility when imazamox was mixed with basal bark oil which may limit its utility. In cut stump studies, we found aminocyclopyrachlor and aminopyralid each individually applied at 6, 12, and 24 g L−1, resulted in stump mortality that was not different from the commercial standard triclopyr amine applied at 180 g L−1. Similar results were found for a triclopyr acid formulation applied at 86 and 172 g L−1 and imazamox applied at 60 g L−1. For both treatment techniques, we found that alternative treatments provided control at lower herbicide concentrations than triclopyr ester and amine commercial standards. These results advance our understanding of IPT and expand access to additional effective herbicide options for S. terebinthifolia management.
The clinical impact of a crisis resolution home treatment team
Authors: Crowley S. , McDonagh S. , Carolan D. , O'Connor K. 
Published: November 2023

AbstractObjectives:To evaluate the impact of treatment provided by a Crisis Resolution Home Treatment Team (CRHTT) in terms of preventing hospital admission, impact on service user’s symptoms and overall functioning, as well as service user’s satisfaction with the service. Secondary objectives were to evaluate the patient characteristics of those attending the CRHTT.Methods:All the service users treated by the CRHTT between 2016 and 2020 were included. Service users completed the Brief Psychiatric Rating Scale (BPRS), the Health of the Nation Outcome Scale (HoNOS), and the Client Satisfaction Questionnaire-version 8 (CSQ-8) before and after treatment by the CRHTT. Admission rates were compared between areas served by the CRHTT and control, before and after the introduction of the CRHTT, using two-way ANOVA.Results:Between 2016 and 2020, 1041 service users were treated by the service. Inpatient admissions in the areas served by the CRHTT fell by 38.5% after its introduction. There was a statistically significant interaction between CRHTT availability and time on admission rate, F (1,28) = 8.4, p = .007. BPRS scores were reduced significantly (p < .001), from a mean score of 32.01 before treatment to 24.64 after treatment. Mean HoNOS scores were 13.6 before and 9.1 after treatment (p < .001). Of the 1041 service users receiving the CSQ-8, only 180 returned it (17.3%). Service users’ median responses were “very positive” to all eight items on the CSQ-8.Conclusions:Although our study design has limitations this paper provides some support that CRHTT might be effective for the prevention of inpatient admission. The study also supports that CRHTT might be an effective option for the treatment of acute mental illness and crisis, although further research is needed in this area.
Characteristics of the switch process and geometric divisibility
Authors: Bengtsson Henrik 
Published: November 2023

AbstractThe switch process alternates independently between 1 and
$-1$
, with the first switch to 1 occurring at the origin. The expected value function of this process is defined uniquely by the distribution of switching times. The relation between the two is implicitly described through the Laplace transform, which is difficult to use for determining if a given function is the expected value function of some switch process. We derive an explicit relation under the assumption of monotonicity of the expected value function. It is shown that geometric divisible switching time distributions correspond to a non-negative decreasing expected value function. Moreover, an explicit relation between the expected value of a switch process and the autocovariance function of the switch process stationary counterpart is obtained, leading to a new interpretation of the classical Pólya criterion for positive-definiteness.
Graph-based methods for discrete choice
Authors: Tomlinson Kiran , Benson Austin R. 
Published: November 2023

AbstractChoices made by individuals have widespread impacts—for instance, people choose between political candidates to vote for, between social media posts to share, and between brands to purchase—moreover, data on these choices are increasingly abundant. Discrete choice models are a key tool for learning individual preferences from such data. Additionally, social factors like conformity and contagion influence individual choice. Traditional methods for incorporating these factors into choice models do not account for the entire social network and require hand-crafted features. To overcome these limitations, we use graph learning to study choice in networked contexts. We identify three ways in which graph learning techniques can be used for discrete choice: learning chooser representations, regularizing choice model parameters, and directly constructing predictions from a network. We design methods in each category and test them on real-world choice datasets, including county-level 2016 US election results and Android app installation and usage data. We show that incorporating social network structure can improve the predictions of the standard econometric choice model, the multinomial logit. We provide evidence that app installations are influenced by social context, but we find no such effect on app usage among the same participants, which instead is habit-driven. In the election data, we highlight the additional insights a discrete choice framework provides over classification or regression, the typical approaches. On synthetic data, we demonstrate the sample complexity benefit of using social information in choice models.
Dynamical aspects of Galactic habitability in N-body simulations
Authors: Mitrašinović A. , Vukotić B. , Micic M. , Ćirković M. M. 
Published: November 2023

AbstractRecent studies of Galactic evolution revealed that the dynamics of the stellar component might be one of the key factors when considering galactic habitability. We run an N-body simulation model of the Milky Way, which we evolve for 10 Gyr, to study the secular evolution of stellar orbits and the resulting galactic habitability related properties, i.e., the density of the stellar component and close stellar encounters. The results indicate that radial migrations are not negligible, even in a simple axisymmetric model with mild levels of dynamical heating, and that the net outward diffusion of the stellar component can populate galactic outskirts with habitable systems. Habitable environment is also likely even at sub-Solar galactocentric radii, because the rate of close encounters should not significantly degrade habitability. Stars that evolve from non-circular to stable nearly circular orbits typically migrate outwards, settling down in a broad Solar neighbourhood. The region between$R \approx 3$kpc and$R \approx 12$kpc represents the zone of radial mixing, which can blur the boundaries of the Galactic Habitable Zone (GHZ), as it has been conventionally understood. The present-day stable population of the stars in the Solar neighbourhood originates from this radial mixing zone, with most of the stars coming from the inner regions. The Solar system can be considered as a typical Milky Way habitable system because it migrated outwards from the metal-rich inner regions of the Disk and has a circular orbit in the present epoch. We conclude that the boundaries of the GHZ cannot be sharply confined for a given epoch because of the mixing caused by the stellar migrations and secular evolution of stellar orbits.