bluuebunny/crossref_metadata_2025_split huggingface dataset:
A user-centered approach to developing an AI system analyzing U.S. federal court data
Authors: Adler Rachel F. , Paley Andrew , Li Zhao Andong L. , Pack Harper , Servantez Sergio , Pah Adam R. , Hammond Kristian , Consortium SCALES OKN 
Published: August 2022

AbstractWe implemented a user-centered approach to the design of an artificial intelligence (AI) system that provides users with access to information about the workings of the United States federal court system regardless of their technical background. Presently, most of the records associated with the federal judiciary are provided through a federal system that does not support exploration aimed at discovering systematic patterns about court activities. In addition, many users lack the data analytical skills necessary to conduct their own analyses and convert data into information. We conducted interviews, observations, and surveys to uncover the needs of our users and discuss the development of an intuitive platform informed from these needs that makes it possible for legal scholars, lawyers, and journalists to discover answers to more advanced questions about the federal court system. We report on results from usability testing and discuss design implications for AI and law practitioners and researchers.
Apprehending anxiety: an introduction to the Topical Collection on worry and wellbeing
Authors: Vazard Juliette , Kurth Charlie 
Published: August 2022

AbstractThe aim of this collection is to show how work in the analytic philosophical tradition can shed light on the nature, value, and experience of anxiety. Contrary to widespread assumptions, anxiety is not best understood as a mental disorder, or an intrinsically debilitating state, but rather as an often valuable affective state which heightens our sensitivity to potential threats and challenges. As the contributions in this volume demonstrate, learning about anxiety can be relevant for debates, not only in the philosophy of emotion, but also in epistemology, value theory, and the philosophy of psychopathology. In this introductory article, we also show that there is still much to discover about the relevance that anxiety may have for moral action, self-understanding, and mental health.
Singular solutions for fractional parabolic boundary value problems
Authors: Chan Hardy , Gómez-Castro David , Vázquez Juan Luis 
Published: August 2022

AbstractThe standard problem for the classical heat equation posed in a bounded domain $$\Omega $$
Ω
of $${\mathbb {R}}^n$$

R

n

is the initial and boundary value problem. If the Laplace operator is replaced by a version of the fractional Laplacian, the initial and boundary value problem can still be solved on the condition that the non-zero boundary data must be singular, i.e., the solution u(t, x) blows up as x approaches $$\partial \Omega $$

∂
Ω

in a definite way. In this paper we construct a theory of existence and uniqueness of solutions of the parabolic problem with singular data taken in a very precise sense, and also admitting initial data and a forcing term. When the boundary data are zero we recover the standard fractional heat semigroup. A general class of integro-differential operators may replace the classical fractional Laplacian operators, thus enlarging the scope of the work. As further results on the spectral theory of the fractional heat semigroup, we show that a one-sided Weyl-type law holds in the general class, which was previously known for the restricted and spectral fractional Laplacians, but is new for the censored (or regional) fractional Laplacian. This yields bounds on the fractional heat kernel.
Impact of Crisis Communication Strategies on People’s Attitudes toward Behavioral Guidelines Regarding COVID-19 and on Their Trust in Local Officials
Authors: Hirschfeld Gerrit , Thielsch Meinald T. 
Published: August 2022

AbstractSituational Crisis Communication Theory (SCCT) guides responses of corporations in crises. We tested how COVID-19 related crisis communication strategies affect trust in mayors and the acceptance of behavioral measures. A total of 561 participants (53% female) with a mean age of 50 years took part in an online experiment in which we systematically manipulated the mayor’s crisis communication strategy (deny crisis, diminish role in crisis, rebuild relationship after taking responsibility, bolster reputation, no response) and pre-crisis reputation (good past crisis management, bad past crisis management). Age, gender, and education served as covariates. We also tested the predictive power of personal concern regarding the COVID-19 pandemic, as well as internal and external control convictions. In our preregistered analysis, we found that crisis communication strategies had no significant effect on participants’ ratings of behavioral measures, but they affected participants’ trust in the mayor. The deny crisis strategy resulted in the most unfavorable ratings, while the effects of the other strategies were moderated by the mayor’s pre-crisis reputation. Additional exploratory analyses showed that individual concern and trust were important predictors for the acceptance of behavioral measures. Even though we did not find any effects of communication strategies on behavioral measures, our results support SCCT’s utility in guiding communication strategy during a pandemic.
Reduced pressure laser weld comparison to electron beam welds in Ti-6Al-4 V
Authors: Elmer J. W. , Vaja J. , Gibbs Gordon 
Published: August 2022

AbstractReduced pressure laser welds were made using a 6-kW commercial fiber-laser system on Ti-6Al-4 V and compared to electron beam welds of the same beam diameters as measured by beam diagnostics. The laser welds showed keyhole characteristics under easily achievable mechanical pumped vacuum levels of 1 mbar pressure that nearly matched the electron beam weld penetrations made at 9 × 10–5 mbar vacuum. Ti-6Al-4 V alloys were used to represent refractory metals such as vanadium, tantalum, zirconium, or molybdenum that require vacuum or highly protective inert gas protection systems to prevent adverse interactions with air and can be difficult to weld under non-vacuum conditions. Results show that laser weld depths of 20 mm with aspect ratios of 17:1 can be made under what appears to be stable keyhole behavior as the result of reduced pressure. The effect of fiber diameter was examined using 0.1-, 0.2-, and 0.3-mm fibers, showing that small spot sizes can easily be achieved at long focal length lenses of 400 and 500 mm. The 0.1- and 0.2-mm fibers produced keyhole welds with minimal amounts of porosity, which was only present at 2 kW or higher, while the 0.3-mm fiber produced keyhole welds with more rounded roots that were porosity free as shown by radiography up to the maximum power of 6 kW. Correlations between weld depth and processing conditions are presented for the reduced pressure laser. These results are directly compared to electron beam welds, facilitating design of future reduced pressure laser systems targeted for deep weld penetrations historically developed for electron beams.
AI + Ethics Curricula for Middle School Youth: Lessons Learned from Three Project-Based Curricula
Authors: Williams Randi , Ali Safinah , Devasia Nisha , DiPaola Daniella , Hong Jenna , Kaputsos Stephen P. , Jordan Brian , Breazeal Cynthia 
Published: August 2022

Abstract
Artificial Intelligence (AI) is revolutionizing many industries and becoming increasingly ubiquitous in everyday life. To empower children growing up with AI to navigate society’s evolving sociotechnical context, we developed three middle school AI literacy curricula: Creative AI, Dancing with AI, and How to Train Your Robot. In this paper we discuss how we leveraged three design principles—active learning, embedded ethics, and low barriers to access – to effectively engage students in learning to create and critique AI artifacts. During the summer of 2020, we recruited and trained in-service, middle school teachers from across the United States to co-instruct online workshops with students from their schools. In the workshops, a combination of hands-on unplugged and programming activities facilitated students’ understanding of AI. As students explored technical concepts in tandem with ethical ones, they developed a critical lens to better grasp how AI systems work and how they impact society. We sought to meet the specified needs of students from a range of backgrounds by minimizing the prerequisite knowledge and technology resources students needed to participate. Finally, we conclude with lessons learned and design recommendations for future AI curricula, especially for K-12 in-person and virtual learning.
Prescription patterns of somatostatin analogs in patients with acromegaly and neuroendocrine tumors
Authors: Machado-Alba J. E. , Machado-Duque M. E. , Gaviria-Mendoza A. , Arsof-Saab I. N. , Castellanos-Moreno C. A. , Botero L. , Triana L. 
Published: August 2022

Abstract
Purpose
Acromegaly and neuroendocrine tumors are rare diseases that, under certain conditions, can be treated with somatostatin analogs. The aim was to determine the prescription patterns of somatostatin analogs in a group of patients with acromegaly and neuroendocrine tumors affiliated with the Colombian Health System.

Methods
A retrospective study. A cohort of patients from a drug dispensing database that collected all prescriptions of long-acting somatostatin analogs (octreotide, lanreotide, pasireotide). Sociodemographic variables, clinical variables (diagnosis and comorbidities) and pharmacological therapy variables (dose, changes, persistence of use, comedications) were considered.

Results
A total of 213 patients were identified, including 139 (65.3%) with acromegaly and 74 (34.7%) with neuroendocrine tumors. There was a predominance of women (58.7%) and a mean age of 59.7 ± 14.5 years. The most commonly used medications were lanreotide autogel (n = 107; 50.2%), octreotide LAR (n = 102; 47.9%) and pasireotide LAR (n = 4; 1.9%). During follow-up, 11.3% of patients experienced modifications of therapy, with a mean duration from the beginning of treatment to the change in medication of 25 ± 15.9 months. A total of 48.9% of the patients with acromegaly and 87.1% of individuals with neuroendocrine tumors received maximum approved doses of the drug.

Conclusion
Patients with acromegaly and neuroendocrine tumors in Colombia are mainly women and are most frequently treated with lanreotide autogel for acromegaly and with octreotide LAR for neuroendocrine tumors. In addition, a high proportion are managed with maximum doses of long-acting somatostatin analogs.
Social network analysis and consensus reaching process-driven group decision making method with distributed linguistic information
Authors: Jin Feifei , Yang Yu , Liu Jinpei , Zhu Jiaming 
Published: August 2022

AbstractIn group decision making with social network analysis (SNA), determining the weights of experts and constructing the consensus-reaching process (CRP) are hot topics. With respect to the generation of weights of experts, this paper firstly develops a distributed linguistic trust propagation operator and a path order weighted averaging (POWA) operator to explore the trust propagation and aggregation between indirectly connected experts, and the weights of experts can be derived by using relative node in-degree centrality in a complete distributed linguistic trust relationship matrix. Then, three levels of consensus are proposed, in which the most inconsistent evaluation information in distributed linguistic trust decision-making matrices can be pinpointed. Subsequently, the distance between experts’ evaluation information and collective evaluation information is designed to be applied as the adjustment cost in CRP. Finally, a novel feedback mechanism supported by the minimum adjustment cost is activated until the group consensus degree reaches the predefined threshold. The novelties of this paper are as follows: (1) the proposed POWA considers the trust value as well as the propagation efficiency of trust path when aggregating the trust relationship in SNA; (2) the consensus reaching mechanism can gradually improve the value of group consensus degree by continuously adjusting the most inconsistent evaluation information.
Teaching Gender and Sexual Diversity in Aotearoa New Zealand: How Hierarchies and Surveillance Shape What is Possible
Authors: Graham Katie , Nairn Karen , Treharne Gareth J. 
Published: August 2022

AbstractThe ways that gender and sexuality are included within secondary school teaching has implications for students’ understandings and ongoing wellbeing. In this research we interviewed nine educators who work in secondary schools in Te Wai Pounamu (the South Island of Aotearoa/New Zealand) about how they approach gender and sexuality within their teaching and what informs these approaches. Foucauldian discourse analysis was used to analyse the interview data. Educators’ approaches to gender and sexuality were shaped by the subject(s) they teach, educational context, and subjectivity in relation to their own gender and sexuality. Educators were conscious of the systems of hierarchy and surveillance within education settings, which often limited their willingness to include content that explored gender and sexual diversity. These findings help inform efforts to create more inclusive school environments and suggest that educators need to feel safe including diverse discourses of gender and sexuality within their teaching.
Novel DEMON Spectra Analysis Techniques and Empirical Knowledge Based Reference Criterion for Acoustic Signal Classification
Authors: Hashmi Muhammad Abdur Rehman , Raza Rana Hammad 
Published: August 2022

AbstractThis paper presents some novel methods to estimate a vessel’s number of shafts, course, speed and classify it using the underwater acoustic noise it generates. A classification framework as well as a set of reference parameters for comparison are put forth. Identifying marine traffic in surroundings is an important task for vessels in an open sea. Vessels in vicinity can be identified using their signatures. One of the typical signatures emitted by a vessel is its acoustic measurements. The raw sonar data consisting of the acoustic signatures is generally observed manually by sonar operators for suggesting class of query vessel. The valuable information that can be extracted from the recorded acoustic signature includes shaft revolutions per minute (SRPM), number of blades (NOB), number of shafts, course and speed etc. Expert sonar operators use their empirical knowledge to estimate a vessel’s SRPM and NOB. Based on this information vessel classification is performed. Empirical knowledge comes with experience, and the manual process is prone to human error. To make the process systematic, calculation of the parameters of the received acoustic samples can be visually analyzed using Detection of Envelope Modulation on Noise (DEMON) spectra. Reported research mostly focuses on SRPM and NOB. Parameters such as number of shafts and vessel course and speed can effectively aid the vessel classification process. This paper makes three novel contributions in this area. Firstly, some novel DEMON spectra analysis techniques are proposed to estimate a water vessel’s number of shafts, speed, and relative course. Secondly, this paper presents a classification framework that uses the features extracted from DEMON spectra and compares them with a reference set. Thirdly, a novel set of reference parameters are provided that aid classification into categories of large merchant ship type 1, large merchant ship type 2, large merchant ship type 3, medium merchant ship, oiler, car carrier, cruise ship, fishing boat and fishing trawler. The proposed analysis and classification techniques were assessed through trials with 877 real acoustic signatures recorded under varying conditions of ship’s speed and sea state. The classification trials revealed a high accuracy of 94.7%.
A Nine-Level Switched-Capacitor Step-Up Inverter with Low Voltage Stress
Authors: Wang Yaoqiang , Ye Juncheng , Wang Kaige , Nie Fuquan , Li Gen , Liang Jun 
Published: August 2022

AbstractThis paper proposes a nine-level switched-capacitor step-up inverter (9LSUI) which can achieve a quadruple voltage gain with single dc source. Differing from other switched-capacitor inverters, the voltage stress of switches is effectively reduced due to the elimination of H-bridge, and the peak inverse voltage of all switches is kept within 2Vdc. In addition, the proposed inverter is able to integrate inductive load, and the capacitor voltage self-balancing can be achieved without any auxiliary circuits. Moreover, the topology structure can be flexibly extended to raise the output levels, and the peak inverse voltage of switches can remain constant with the increase of sub-modules in the extended structure. Comprehensive comparisons are performed to verify the outstanding advantages of the proposed inverter. Finally, the steady-state and dynamic performance of the proposed inverter is validated through an experimental prototype, and the experimental results are provided to prove the theoretical analysis.
Species richness, relative abundance and occupancy of ground-dwelling mammals denote the ineffectiveness of chimpanzee as flagship species
Authors: Sun Ping , Umuntunundi Prosper , Wronski Torsten 
Published: August 2022

AbstractIn conservation biology, flagship species are defined as species that can raise support for biodiversity conservation in a given place or social context. In the newly established Gishwati–Mukura National Park in Rwanda, the Eastern chimpanzee was considered such an ambassador. To test whether the flagship species concept was effective in the park, we studied species richness, relative abundance, and species distribution (occupancy) of medium- to large-sized, ground-dwelling mammals using camera trapping technology. The impact of three environmental and three anthropogenic variables on species distribution was investigated and the ecological diversity of the fauna in the national park assessed. Over a period of 9 months, two 4 × 4 camera trapping grids were deployed in Gishwati and Mukura Forest. Sampling effort in each forest equated to 32 and 29 camera trapping locations, yielding 258 and 242 independent photographic events of eight and six species, respectively. In both forests, the Emin's giant poached rat was the most frequently encountered species, while all other species showed high relative abundance only in Gishwati Forest. The relative abundance of the endangered Eastern chimpanzee in Gishwati Forest was 0.54, the estimated occupancy was 0.31. Single-species, single-season occupancy models revealed that forest cover, altitude and distance to forest edge influenced the detectability of L'Hoest's monkey and squirrel species, while no effect was found on their occupancy. Notably, no larger herbivore or carnivore species were observed in the park, while the flagship species, i.e., the Eastern chimpanzee, was relatively abundant. Moreover, in both forests, all detected carnivores were small- to medium-sized, suggesting a meso-predator release phenomenon, i.e., populations of medium-sized predators increased after the removal of larger, top carnivores, due to relaxed competition. It appears that the prioritization of the flagship species resulted in the neglect of other mammalian species, leading eventually into the demise of entire functional guilds. Based on these results, the Gishwati–Mukura NP was categorized as a ‘depleted forest’. We, therefore, strongly object chimpanzees as a suitable flagship species—at least in the Gishwati–Mukura NP—and recommend collating more knowledge on the release of meso-predators and the loss of forest ungulates to improve their future conservation in Afro-montane forest habitats.
An energy-aware application module for the fog-based internet of military things
Authors: Bichi Bashir Yusuf , Islam Saif ul , Kademi Anas Maazu , Ahmad Ishfaq 
Published: August 2022

AbstractSmart devices in various application areas are becoming increasingly prevalent for efficient handling of multiple critical activities. One such area of interest is high-security militarized environments. Due to military zones’ harsh and unpredictable nature, monitoring devices deployed in such environments must operate without power interruption for extended time periods. Therefore, it is essential to choose an appropriate application design for operating these “things” in the internet of things (IoT) environment such that energy can be conserved throughout the operating span of an application. This paper presents two application modules and analyzes their performance in terms of energy conservation considering a military-based IoT-Fog architecture. The two modules are: A sequential application module, and a master-worker application module. Experimental results show that the master-worker module incurs lower energy consumption and communication overhead than the sequential application module. Significantly, the master-worker module exhibits a lower delay in tuple execution by almost four milliseconds while also accounting for lower simulation time and higher network utilization. The module achieves significant savings in energy consumption, making it more effective in handling smart devices.
A note on means-end reasoning: knowledge, reasons and fate
Authors: Garrett Brian 
Published: August 2022

AbstractIn this note, I argue that knowledge of an action’s effect undermines an agent’s reason to act. This undermining occurs in some cases of bringing about the past, but also in some cases of forwards causation. I consider the suggestion that it is not knowledge but truth that undermines reasons to act, giving rise to the spectre of fatalism. Thankfully, this spectre can be banished.
Interacting nonlinear reinforced stochastic processes: Synchronization or non-synchronization
Authors: Crimaldi Irene , Louis Pierre-Yves , Minelli Ida G. 
Published: August 2022

AbstractThe rich-get-richer rule reinforces actions that have been frequently chosen in the past. What happens to the evolution of individuals’ inclinations to choose an action when agents interact? Interaction tends to homogenize, while each individual dynamics tends to reinforce its own position. Interacting stochastic systems of reinforced processes have recently been considered in many papers, in which the asymptotic behavior is proven to exhibit almost sure synchronization. In this paper we consider models where, even if interaction among agents is present, absence of synchronization may happen because of the choice of an individual nonlinear reinforcement. We show how these systems can naturally be considered as models for coordination games or technological or opinion dynamics.
On images of subshifts under embeddings of symbolic varieties
Authors: PHUNG XUAN KIEN 
Published: August 2022

AbstractWe show that the image of a subshift X under various injective morphisms of symbolic algebraic varieties over monoid universes with algebraic variety alphabets is a subshift of finite type, respectively a sofic subshift, if and only if so is X. Similarly, let G be a countable monoid and let A, B be Artinian modules over a ring. We prove that for every closed subshift submodule
$\Sigma \subset A^G$
and every injective G-equivariant uniformly continuous module homomorphism
$\tau \colon \! \Sigma \to B^G$
, a subshift
$\Delta \subset \Sigma $
is of finite type, respectively sofic, if and only if so is the image
$\tau (\Delta )$
. Generalizations for admissible group cellular automata over admissible Artinian group structure alphabets are also obtained.