bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deceiving versus manipulating: An evidence‐based definition of deception
Authors: Fallis Don 
Published: November 2022

AbstractWhat distinguishes deception from manipulation? Cohen (Australasian Journal of Philosophy, 96, 483 and 2018) proposes a new answer and explores its ethical implications. Appealing to new cases of “non‐deceptive manipulation” that involve intentionally causing a false belief, he offers a new definition of deception in terms of communication that rules out these counterexamples to the traditional definition. And, he leverages this definition in support of the claim that deception “carries heavier moral weight” than manipulation. In this paper, I argue that these cases of “non‐deceptive manipulation” are even more prevalent than Cohen suggests—especially in the digital world. Thus, if his moral claim were correct, a lot of what is happening on the internet these days would constitute moral improvement over old‐fashioned deception. Fortunately, we are not forced to accept this counterintuitive conclusion. Cohen's definition must be rejected because it incorrectly rules out clear instances of deception. In this paper, I defend a definition of deception in terms of evidence that does correctly distinguish between deception and non‐deceptive manipulation. Moreover, it does not support Cohen's claim that deception is morally worse than other forms of manipulation.
Disaster risk and artificial intelligence: A framework to characterize conceptual synergies and future opportunities
Authors: Thekdi Shital , Tatar Unal , Santos Joost , Chatterjee Samrat 
Published: November 2022

AbstractArtificial intelligence (AI) methods have revolutionized and redefined the landscape of data analysis in business, healthcare, and technology. These methods have innovated the applied mathematics, computer science, and engineering fields and are showing considerable potential for risk science, especially in the disaster risk domain. The disaster risk field has yet to define itself as a necessary application domain for AI implementation by defining how to responsibly balance AI and disaster risk. (1) How is AI being used for disaster risk applications; and how are these applications addressing the principles and assumptions of risk science, (2) What are the benefits of AI being used for risk applications; and what are the benefits of applying risk principles and assumptions for AI‐based applications, (3) What are the synergies between AI and risk science applications, and (4) What are the characteristics of effective use of fundamental risk principles and assumptions for AI‐based applications? This study develops and disseminates an online survey questionnaire that leverages expertise from risk and AI professionals to identify the most important characteristics related to AI and risk, then presents a framework for gauging how AI and disaster risk can be balanced. This study is the first to develop a classification system for applying risk principles for AI‐based applications. This classification contributes to understanding of AI and risk by exploring how AI can be used to manage risk, how AI methods introduce new or additional risk, and whether fundamental risk principles and assumptions are sufficient for AI‐based applications.
Accuracy of vacant housing detection models: An empirical evaluation using municipal and national census datasets
Authors: Sayuda Kanta , Hong Euijung , Akiyama Yuki , Baba Hiroki , Tokudomi Tomoya , Akatani Toshihiko 
Published: November 2022

AbstractIn Japan, the rise in vacant housing has created the need to develop quick, effective, and inexpensive methods to detect the spatial distribution of vacant housing at the municipal level. However, due to incomplete and inaccessible data, the change in the accuracy of the vacant housing detection model must be evaluated while accounting for the limited data. Therefore, this study compares the performance of vacant housing detection models for different data combinations (Basic Resident Register; building registration, water usage, and national census) by considering Wakayama City, Japan, as the case study setting. Three main findings emerged: (1) the contribution of the data to the accuracy varies with the combination of datasets and metrics; (2) even if specific municipal data are unavailable, it is possible to acquire a similar accuracy by combining other data; and (3) the missing value contributes to the vacant housing detection rather than the feature value itself.
Exploring the spatiotemporal characteristics of intracity travels by time series clustering: A case study of Beijing
Authors: Jiang Heping , Yi Disheng , Liu Ruihua , Luo Shijia , Zhang Jing 
Published: November 2022

AbstractExploring spatiotemporal characteristics of residents' travel is a fundamental task in the field of urban studies. Time series clustering is one of the useful methods to distinguish those characteristics of intracity travel. However, previous studies focused more on exploring the spatiotemporal characteristics in urban centers. For understanding the spatiotemporal characteristics in suburbs, we combined the Shape Based Distance (SBD) based on the Discrete Fourier Transformation (DFT) similarity measurement method and the Affinity Propagation (AP) clustering method to cluster time series of each Traffic Analyze Zone (TAZ). The method performed well both in urban centers and suburbs. There are nine clusters on weekdays and seven clusters on weekends. These clusters reflect different travel characteristics. To further understand the difference between these travel characteristics, Points of Interest (POI) data were employed to analyze attractors of travel. Work‐oriented, Residence‐oriented and Attraction‐oriented are three main attractors on weekdays. Meanwhile, there are four attractors on weekends which are Recreation‐oriented, Residence‐oriented, Attraction‐oriented and Work‐oriented. This research has a certain theoretical and practical value for understanding urban formation evolution and urban planning.
Bi-LSTM-Based Dynamic Prediction Model for Pulling Speed of Czochralski Single-Crystal Furnace
Authors: Feng Zhengyuan , Hu Xiaoliang , Tian Zengguo , Jiang Baozhu , Zhang Hongshuai , Zhang Wanli 
Published: November 2022

Abstract
With the rapid development of microelectronics science and technology, the quality of IC-grade silicon single crystal directly affects the yield and stability of the performance of semiconductor device production. As the main equipment for the preparation of such materials, the monitoring and maintenance of the working condition of the single crystal furnace are crucial. Bi-directional long short-term memory (Bi-LSTM) is an innovative neural network paradigm that is used to predict future occurrences by learning the bi-directional long-term dependencies of time-steps and serial data. This paper built a Bi-LSTM based model that can dynamically predict the pulling speed of a Czochralski (Cz) single-crystal furnace by modeling the time series of operational parameters. The Bi-LSTM model is validated using real data from a silicon single-crystal factory. It is proven that the model achieved higher accuracy than LSTM, ANN, SVR, and XGBOOST. The experimental results verify the validity of modeling the pulling speed of single-crystal furnace devices through the Bi-LSTM model by using the time series of multi-dimensional parameters. Therefore, the Bi-LSTM model can serve as a reference for modeling the parameters of such devices.
Process evaluation of in-person, news and social media engagement of a community-based programme Brown Buttabean Motivation (BBM): a research protocol
Authors: Savila Fa’asisila , Bamber Anele , Smith Sandra , Fernandez Karen V , Harding Truely , Letele Dave , van der Werf Bert , Loheni Mia , Bagg Warwick , Swinburn Boyd , Goodyear-Smith Felicity 
Published: November 2022

IntroductionThe community group Brown Buttabean Motivation (BBM) initially began to assist Auckland Pasifika and Māori to manage weight problems, predominantly through community-based exercise sessions and social support. BBM’s activities expanded over time to include many other components of healthy living in response to community need. With advent of the COVID-19 pandemic, BBM outreach grew to include a foodbank distributing an increasing amount of donated healthy food to families in need, a community kitchen and influenza and COVID-19 vaccine drives. A strong social media presence has served as the main means of communication with the BBM community as well as use of traditional news media (written, radio, television) to further engage with vulnerable members of the community.Methods and analysisThe study aims to conduct mixed method process evaluation of BBM’s community engagement through in-person, social and news media outreach activities with respect to the health and well-being of Pasifika and Māori over time. The project is informed by theoretical constructs including Pacific Fa’afaletui and Fonofale and Māori Te Whare Tapa Whā Māori research frameworks and principles of Kaupapa Māori. It is further framed using the concept of community-driven diffusion of knowledge and engagement through social networks. Data sources include in-person community engagement databases, social and news media outreach data from archived documents and online resources. Empirical data will undergo longitudinal and time series statistical analyses. Qualitative text thematic analyses will be conducted using the software NVivo, Leximancer and AntConc. Image and video visual data will be randomly sampled from two social media platforms. The social media dataset contains almost 8000 visual artefacts.Ethics and disseminationEthics approval obtained from University of Auckland Human Participants Ethics Committee UAHPEC 23456. Findings will be published in peer-reviewed publications, disseminated through community meetings and conferences and via BBM social network platforms.Trial registration numberACTRN 12621 00093 1875
Cognitive Outcomes in the Pragmatic Investigation of optimaL Oxygen Targets (CO-PILOT) trial: protocol and statistical analysis plan
Authors: Mart Matthew F , Semler Matthew W , Bernard Gordon , Casey Jonathan D , Ely E Wesley , Freundlich Robert , Jackson James C , Kiehl Amy L , Jenkins Cathy , Wang Guanchao , Lindsell Christopher , Bryant Patsy , Rice Todd W , Self Wesley H , Stollings Joanna , Wanderer Jonathan P , Wang Li , Han Jin Ho 
Published: November 2022

IntroductionLong-term cognitive impairment is one of the most common complications of critical illness among survivors who receive mechanical ventilation. Recommended oxygen targets during mechanical ventilation vary among international guidelines. Different oxygen targets during mechanical ventilation have the potential to alter long-term cognitive function due to cerebral hypoxemia or hyperoxemia. Whether higher, intermediate or lower SpO2targets are associated with better cognitive function at 12-month follow-up is unknown.Methods and analysisThePragmaticInvestigation of optimaL OxygenTargets (PILOT) trial is an ongoing pragmatic, cluster-randomised, cluster-crossover trial comparing the effect of a higher SpO2target (target 98%, goal range 96%–100%), an intermediate SpO2target (target 94%, goal range 92%–96%) and a lower SpO2target (target 90%, goal range 88%–92%) on clinical outcomes in mechanically ventilated patients admitted to the medical intensive care unit at a single centre in the USA. For this ancillary study of long-termCognitiveOutcomes (CO-PILOT), survivors of critical illness who are in the PILOT trial and who do not meet exclusion criteria for CO-PILOT are approached for consent. The anticipated number of patients for whom assessment of long-term cognition will be performed in CO-PILOT is 612 patients over 36 months of enrolment. Cognitive, functional and quality of life assessments are assessed via telephone interview at approximately 12 months after enrolment in PILOT. The primary outcome of CO-PILOT is the telephone version of the Montreal Cognitive Assessment. A subset of patients will also complete a comprehensive neuropsychological telephone battery to better characterise the cognitive domains affected.Ethics and disseminationThe CO-PILOT ancillary study was approved by the Vanderbilt Institutional Review Board. The results will be submitted for publication in a peer-reviewed journal and presented at one or more scientific conferences.
Gödel-type solutions in $$f(R,T,R_{\mu \nu } T^{\mu \nu }$$) gravity
Authors: Gonçalves J. S. , Santos A. F. 
Published: November 2022

AbstractIn this paper, $$f(R,T,R_{\mu \nu } T^{\mu \nu }$$

f
(
R
,
T
,

R

μ
ν

T

μ
ν

) gravity is considered. It is a modified theory of gravity that exhibits a strong coupling of gravitational and matter fields. Therefore, if gravity is governed by this model a number of issues must be re-examined. In this context, the question of causality and its violation is studied. Such analysis is carried out using the Gödel-type solutions. It is shown that this model allows both causal and non-causal solutions. These solutions depend directly on the content of matter present in the universe. For the non-causal solution, a critical radius is calculated, beyond which causality is violated. Taking different matter contents, an infinite critical radius emerges that leads to a causal solution. In this causal solution, a natural relationship emerges between the parameters that determine the matter considered.
Masalah Kesehatan Pekerja di Indonesia Terhadap Loss Productivity
Authors: Hasibuan Johannes 
Published: November 2022

Penelitian ini bertujuan untuk menganalisis pengaruh kesehatan yang buruk terhadap hilangnya waktu produktif pekerja di Indonesia. Penelitian ini menggunakan data Indonesian Family Life Survey (IFLS) tahun 2007 dan 2014. Sampel adalah pekerja usia 15 tahun ke atas dengan kegiatan utama individu adalah bekerja. Ukuran kesehatan pekerja pada kuesioner IFLS adalah pertanyaan apakah responden memiliki riwayat penyakit kronis Metode estimasi fixed effect digunakan untuk mengidentifikasi permasalahan kesehatan terhadap loss productivity.. Hasil estimasi memberikan hasil bahwa gangguan pencernaan memberikan efek terbesar terhadap terganggunya aktivitas bekerja sebesar 1,7 hari dan penyakit stroke memberikan efek tertinggi terhadap terganggunya seluruh total aktivitas sebesar 0,8 hari. Kesimpulan Human capital adalah faktor dari produktivitas ekonomi, oleh karena itu mencegah penyakit dan menjaga kesehatan pekerja perlu dilakukan terutama penyakit kronis.
Incidental Loaning and the Babylonian Context of Second Isaiah
Authors: Boyd Samuel L. , Stackert Jeffrey 
Published: November 2022

Abstract
The social location of Second Isaiah has been an issue of renewed scholarly debate in the past decade. In this debate, H. G. M. Williamson has called attention to the role of terminology in identifying the probable geographical provenance of this portion of Isaiah. In this article, we examine an instance of language contact in Isa 47:2 and argue that the hapax legomenon
שׁבל is a loan from the Akkadian root špl, perhaps the specific lexeme šaplû or šapiltu, referring to the “lower part (of the body).” In doing so, we propose that this term is an incidental loan, namely, a borrowing that evinces general contact with the author’s Babylonian surroundings but exhibits no polemic against the empire. That this borrowing was not ideologically motivated is significant, we suggest, for it increases the likelihood that the loan occurred in a Babylonian locale. The argument for Babylonian provenance is buttressed further by parallels observed in Ezek 16, another prophetic text that apparently originated in Babylon and that contains phrasing, literary conventions, and evidence of language contact similar to that in Isa 47. These features, we suggest, are part of an evolving rhetoric within an identifiable segment of exilic and post-exilic biblical prophecy.
Samson’s Lion Encounter (Judges 14:5–6) and Persian Period Leonine Iconography
Authors: Walker M. Justin 
Published: November 2022

Abstract
This essay addresses the composition of Samson’s lion encounter (Judg 14:5–6) in two parts. First, the narrative of the lion encounter is considered in its literary context (Judg 14:5–6), with particular attention to three difficulties or ambiguities in the narrative arrangement: the presence/absence of the parents, verbal repetition, and the meaning of the חידה. The incongruity of these details indicates redactional seams that, as the present essay argues, might be explained with reference to a Persian period compositional setting of Judg 14:3–6. Second, as supporting evidence for this hypothesis, the essay contextualizes Samson’s lion encounter with reference to Persian period leonine iconography. Two major iconographic motifs are considered—the “heroic encounter” and Herakles depictions—both in their broader settings (the ancient Near East and Greece respectively) and in specific Levantine examples. These artifacts serve to fill out Samson’s heroic characterization and to provide tantalizing material evidence for a possible Persian period setting of this episode in the Samson narrative.
Do Emerging Trends in Climate Litigation Signal a Potential Cause of Action in Negligence against Corporations by the Australian Public?
Authors: Popa Tina , Kallies Anne , Johnston Vanessa , Belfrage-Maher Gabriella 
Published: November 2022

Abstract
Over the past two decades a global jurisprudential trend of domestic climate litigation against governments and companies has emerged. One avenue for litigation against these entities is tort law. The tort of negligence could provide access to compensation for aggrieved individuals and groups. Using the example of Australia, this article discusses whether the emergence of climate tort cases, an increasing drive to hold corporations responsible for climate change, and a company focus on voluntary climate action, could lead to the emergence of a new duty of care by corporate actors toward non-shareholders. We highlight opportunities and barriers to the further development of negligence law as a cause of action against corporations for harms related to climate change.
The Missing Relational Element in Tort Cases on Greenhouse Gas Emissions
Authors: Zahar Alexander 
Published: November 2022

Abstract
The applicability of tort law to conduct contributing to the causes of climate change (“emitting conduct”) has been questioned by courts in Common Law jurisdictions. The golden thread running through the decisions is that plaintiffs have failed to prove the existence of a standard by which to distinguish acceptable from unacceptable emission of greenhouse gases. In this article I argue that the problem of an inexistent standard of conduct is at the root of many other legal difficulties thrown up by attempts to portray emitting conduct as tortious conduct. The humble requirement of a standard of conduct captures the core mismatch: emitting conduct is normal conduct and in no accepted objective sense is it unreasonable.
Climate, Energy – and Environment? Reconciliation of EU Environmental Law with the Implementation Realities of EU Climate Law
Authors: Hardiman Alison 
Published: November 2022

Abstract
Recognizing that significantly increased renewable-energy share (res) is a central component of both EU climate and environmental law, the focus of this paper is the point of intersection between these legal frameworks. Renewable-energy infrastructure projects are necessary for climate-mitigation purposes, but they give rise to significant local environmental impacts that have a negative effect on local communities and environmental conditions. The objective of environmental protection, ‘to preserve, protect and improve the quality of the environment’, does not fully align with the objectives of climate mitigation, which are designed to safeguard the needs of future generations and the long-term environment. While EU environmental policy encompasses ‘measures designed to combat climate change’, little attention has been afforded in relevant Directives to the impact of climate-mitigation measures on the environment. There is no provision for proportionate treatment of the impacts of these measures in environmental governance procedures. Analysis of the provisions of the eia and Habitats Directives, which directly impact the authorization of renewable-energy projects, reveals that climate as a component of EU environmental policy is dealt with via the limitation and control of greenhouse gas emissions, an incomplete approach that fails to provide for the development of new large-scale infrastructure that can mitigate the generation of greenhouse gas emissions through provision of sustainable energy sources. The European Union’s revised Trans European Network – Energy (ten-E) Regulation (June 2022) provides that energy infrastructure in the form of projects of common interest shall be deemed to be in the overriding public interest in the context of the Habitats Directive, an exception to that Directive’s prohibition on development that could negatively impact protected Natura 2000 features. A proposal pursuant to the EU Commission’s plan ‘REPowerEU’ recommends an amendment to the Renewable Energy Directive to introduce a similar overriding provision in respect of all renewable-energy infrastructure projects. These sidestepping provisions in climate-energy laws, made necessary by the failure of EU environmental law to incorporate effective provisions that promote climate change measures, are an incomplete solution that will limit the regulation of an environmentally responsible approach to increased res and are likely to be challenged.
The First Czech Climate Judgment: A Novel Perspective on the State’s Duty to Mitigate and on the Right to a Favourable Environment
Authors: Müllerová Hana , Ač Alexander 
Published: November 2022

Abstract
In June 2022, a Czech climate lawsuit, Klimatická žaloba ČR, z. s. and Others v. Government of the Czech Republic and Others was decided by a first-instance court. The litigation was led against the Czech state for insufficient climate mitigation and adaptation effort. The Municipal Court in Prague largely upheld the plaintiffs’ claim that the Czech mitigation measures adopted to date were contrary to the Paris Agreement; and it found that the country must substantially strengthen its reduction rate of greenhouse gas emissions. This result—the first of its kind in the Czech Republic—was a surprise to many in a country whose courts have been conservative in environmental matters. The judgment fits in well with current trends in climate litigation and follows the arguments of landmark climate cases such as Urgenda. This article provides a summary of the lawsuit and analyses two of the most important parts of the judgment: the court’s reasoning on the state’s obligation to reduce greenhouse gas emissions and its ‘climatic’ interpretation of the fundamental right to a favourable environment, as guaranteed by the Czech Constitution.