bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deployment of distributed ledger and decentralized technology for transition to smart industries
Authors: Anthony Bokolo 
Published: March 2023

AbstractIndustries are now deploying smart initiatives and innovative business models towards digital transformation. One of such initiatives is the adoption of distributed ledger technology (DLT) which promises to support smart industrial revolution. DLT facilitates non trusted entities to communicate and achieve a consensus in a fully distributed method through an immutable and cryptographically secure ledger. DLT ensures traceability and secure exchange of information while ensuring confidentiality and portability of data. However, only fewer studies have explored the extent to which DLT can support digitalization to achieve smart industrial process. Besides, the governance role of DLT in industrial sectors is still considered a nascent domain of research and DLT governance design and archetypes for smart industries are still in the early stage. Also, there are fewer studies in the literature that presents consensus mechanisms for integrating DLT for digitalization of smart industries. Grounded on the secondary data this study examines the practical benefits and challenges faced in achieving a smart industrial operation. Findings from this study identifies governance and security issues that influences DLT deployment in industrial sectors. More importantly, several factors that impacts the deployment of DLT for smart industries are presented. Implications from this study will be useful for industrial regulators, practitioners and researchers interested in gaining innovative insights about how smart industries can leverage DLT to create value for competitive advantage.
Stochastic games with lexicographic objectives
Authors: Chatterjee Krishnendu , Katoen Joost-Pieter , Mohr Stefanie , Weininger Maximilian , Winkler Tobias 
Published: March 2023

AbstractWe study turn-based stochastic zero-sum games with lexicographic preferences over objectives. Stochastic games are standard models in control, verification, and synthesis of stochastic reactive systems that exhibit both randomness as well as controllable and adversarial non-determinism. Lexicographic order allows one to consider multiple objectives with a strict preference order. To the best of our knowledge, stochastic games with lexicographic objectives have not been studied before. For a mixture of reachability and safety objectives, we show that deterministic lexicographically optimal strategies exist and memory is only required to remember the already satisfied and violated objectives. For a constant number of objectives, we show that the relevant decision problem is in $$\textsf{NP}\cap \textsf{coNP}$$

NP
∩
coNP

, matching the current known bound for single objectives; and in general the decision problem is $$\textsf{PSPACE}$$
PSPACE
-hard and can be solved in $$\textsf{NEXPTIME}\cap \textsf{coNEXPTIME}$$

NEXPTIME
∩
coNEXPTIME

. We present an algorithm that computes the lexicographically optimal strategies via a reduction to the computation of optimal strategies in a sequence of single-objectives games. For omega-regular objectives, we restrict our analysis to one-player games, also known as Markov decision processes. We show that lexicographically optimal strategies exist and need either randomization or finite memory. We present an algorithm that solves the relevant decision problem in polynomial time. We have implemented our algorithms and report experimental results on various case studies.
Protean career processes in young adults:
Relationships with perceived future employability, educational performance, and
commitment
Authors: Kim Sujin , Creed Peter A. , Hood Michelle , Bath Debra 
Published: March 2023

AbstractProtean career processes of vocational identity awareness, career
adaptability, and career agency have been hypothesized to mediate the relationships between
protean career orientation and career-related outcomes. To date, the role of these process
mechanisms has not been assessed directly in young adults, and little attention has been
paid to educational outcomes, which are important career-related goals for young people on
the way to their desired career. To address this gap, we tested this indirect-effects model
in a sample of young adult undergraduates (N = 396;
Mage = 20.19, SD = 2.99; 72.2% women) and included career-related goals
(perceived future employability, educational performance, and commitment) as outcomes.
Identity awareness and career adaptability partially explained the relationship between
protean career orientation and perceived future employability and completely explained the
relationships with educational performance and commitment. Contrary to protean career
theory, there were no significant indirect paths via career agency to any of the
outcomes.
“I’ll be Okay”: Survivors’ Perspectives on Participation in Domestic Violence Research
Authors: Dragiewicz Molly , Woodlock Delanie , Easton Helen , Harris Bridget , Salter Michael 
Published: March 2023

Abstract
Purpose
This article investigates survivors’ experiences participating in research interviews about technology-facilitated domestic violence. University research ethics committees often assume that participating in research on violence and abuse is distressing for survivors. Scholars have called for research testing this assumption. This article contributes to the evidence base on the benefits and risks of asking research participants about gender-based violence.

Methods
This article is based on semi-structured interviews with 20 Australian domestic violence survivors. Template analysis was used to code the interviews and develop key themes.

Results
The five themes derived from the interviews include reflection on recovery and personal growth; helping other women; rejecting victim-shaming; empowerment; and the importance of timing.

Conclusion
All participants reported positive experiences taking part in the study. However, the authors noticed substantial differences in participant narratives across service cohorts. The implications of recruiting through channels associated with different points in trauma trajectories warrant attention.
Risk Factors for Gambling Disorder: A Systematic Review
Authors: Moreira Diana , Azeredo Andreia , Dias Paulo 
Published: March 2023

AbstractGambling disorder is a common and problematic behavioral disorder associated with depression, substance abuse, domestic violence, bankruptcy, and high suicide rates. In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), pathological gambling was renamed “gambling disorder” and moved to the Substance-Related and Addiction Disorders chapter to acknowledge that research suggests that pathological gambling and alcohol and drug addiction are related. Therefore, this paper provides a systematic review of risk factors for gambling disorder. Systematic searches of EBSCO, PubMed, and Web of Science identified 33 records that met study inclusion criteria. A revised study acknowledges as risk factors for developing/maintaining a gambling disorder being a single young male, or married for less than 5 years, living alone, having a poor education, and struggling financially.
Learn an Index Operator by CNN for Solving Diffusive Optical Tomography: A Deep Direct Sampling Method
Authors: Guo Ruchi , Jiang Jiahua , Li Yi 
Published: March 2023

AbstractIn this work, we investigate the diffusive optical tomography (DOT) problem in the case that limited boundary measurements are available. Motivated by the direct sampling method (DSM) proposed in Chow et al. (SIAM J Sci Comput 37(4):A1658–A1684, 2015), we develop a deep direct sampling method (DDSM) to recover the inhomogeneous inclusions buried in a homogeneous background. In this method, we design a convolutional neural network to approximate the index functional that mimics the underling mathematical structure. The benefits of the proposed DDSM include fast and easy implementation, capability of incorporating multiple measurements to attain high-quality reconstruction, and advanced robustness against the noise. Numerical experiments show that the reconstruction accuracy is improved without degrading the efficiency, demonstrating its potential for solving the real-world DOT problems.
Recent Advances in Various Starch Formulation for Wastewater Purification via Adsorption Technique: A Review
Authors: Abd El-Ghany Nahed A , Elella Mahmoud H. Abu , Abdallah Heba M. , Mostafa Mervat S. , Samy Moshera 
Published: March 2023

AbstractWater purification is considered one of the most essential issues in our lives. Therefore, the contamination of water surfaces owing to the hasty upsurge in industrialization has received great global attention because of its potential danger to human health and the eco-system. Particularly, the discharge of various non-biodegradable contaminants into the water body—heavy metal ions, organic dyes, pharmaceutical antibiotics, pesticides, and oils—causes these contaminants to accumulate on the water's surface and have harmful impacts on humans and the environment. Several conventional methods can be applied to solve this problem, including chemical oxidation, precipitation, coagulation, and so on. However, they suffer from serious limitations: high cost, limited functionality, prolonged and heavy energy use, and poor separation efficiency. Conversely, the adsorption technique has recently attracted a lot of attention for wastewater treatment thanks to its remarkable benefits of being a simple, highly selective, and low-cost technique. Recently, natural polysaccharides (especially starch)-based adsorbents have received great interest in water purification owing to their outstanding properties, including being easily available, non-toxic, low-cost, biodegradable, and biocompatible. However, it possesses notable drawbacks that prevent it from being used alone as an adsorbent for wastewater treatment, including low thermal stability, slight water solubility, and rapid degradability in water. Therefore, this review highlights a comprehensive presentation about various starch modifications: starch-based grafts, hydrogels, aerogels, beads, nanofibers, and nanocomposite formulations to remove several toxic contaminants, including toxic heavy metal ions, organic dyes, pharmaceutical antibiotics, pesticides, and oils.
Analysis of security and privacy issues in wearables for minors
Authors: Fúster Jaime , Solera-Cotanilla Sonia , Pérez Jaime , Vega-Barbas Mario , Palacios Rafael , Álvarez-Campana Manuel , Lopez Gregorio 
Published: March 2023

AbstractThe increased use of wearables in recent years has fostered a great technological development in this area, although without the appropriate supervision usability may go first than security. In addition to this, the fact that wearables have been requiring more and more personal data from the user makes them attractive devices for an attacker. In this paper we propose a set of tests for evaluating the security and privacy of wearables and we apply them to analyse the security and privacy of a set of commercial wearables that are targeted at minors, who represent a group with especially high requirements in this regard. We define the testing scenario, expose the tools to support the research, and specify the testing process to be followed. Based on the obtained results, although the considered low-end devices are broadly speaking less secure than high-end ones, most of them present security and privacy flaws, which illustrates the necessity of regulation that ensures the fulfilment of appropriate security and privacy requirements.
TTL: transformer-based two-phase transfer learning for cross-lingual news event detection
Authors: Hettiarachchi Hansi , Adedoyin-Olowe Mariam , Bhogal Jagdev , Gaber Mohamed Medhat 
Published: March 2023

AbstractToday, we have access to a vast data amount, especially on the internet. Online news agencies play a vital role in this data generation, but most of their data is unstructured, requiring an enormous effort to extract important information. Thus, automated intelligent event detection mechanisms are invaluable to the community. In this research, we focus on identifying event details at the sentence and token levels from news articles, considering their fine granularity. Previous research has proposed various approaches ranging from traditional machine learning to deep learning, targeting event detection at these levels. Among these approaches, transformer-based approaches performed best, utilising transformers’ transferability and context awareness, and achieved state-of-the-art results. However, they considered sentence and token level tasks as separate tasks even though their interconnections can be utilised for mutual task improvements. To fill this gap, we propose a novel learning strategy named Two-phase Transfer Learning (TTL) based on transformers, which allows the model to utilise the knowledge from a task at a particular data granularity for another task at different data granularity, and evaluate its performance in sentence and token level event detection. Also, we empirically evaluate how the event detection performance can be improved for different languages (high- and low-resource), involving monolingual and multilingual pre-trained transformers and language-based learning strategies along with the proposed learning strategy. Our findings mainly indicate the effectiveness of multilingual models in low-resource language event detection. Also, TTL can further improve model performance, depending on the involved tasks’ learning order and their relatedness concerning final predictions.
Impact of Intensive Forest Management Practices on Wood Quality from Conifers: Literature Review and Reflection on Future Challenges
Authors: Barrette Julie , Achim Alexis , Auty David 
Published: March 2023

AbstractPurpose of ReviewIntensive forest management practices are being implemented worldwide to meet future global demand for wood and wood products while facilitating the protection of natural forest ecosystems. A potential decline in wood properties associated with rapid tree growth makes it essential to quantify the potential impact of intensive management on the process of wood formation and, in turn, on its suitability for various end-uses.Recent FindingsWood produced over short rotations is generally of lower quality because wood properties tend to improve with cambial age (i.e. the number of annual growth rings from the pith). The intensification of silvicultural practices can thus have measurable consequences for the forest products value chain. The use of new planting material from tree improvement programs could offset such effects, but questions arise as to the effects of a changing climate on wood produced from these plantations and the best silvicultural approaches to manage them.SummaryBased on these recent findings, we provide reflections on the need for a modelling framework that uses the effects of cambial age, ring width and position along the stem to summarise the effects of tree growth scenarios on wood properties. We then present challenges related to our limited understanding of the effects of several drivers of wood properties, such as climate variation, genetic material, and forest disturbances, among others, and highlight the need for further data collection efforts to better anticipate the quality attributes of the future wood fibre resource. We conclude by providing examples of promising new tools and technologies that will help move wood quality research forward by allowing (1) fast, efficient characterisation of wood properties, and (2) up-scaling predictions at the landscape level to inform forest management decisions.
Unwarranted variations in end-of-life care and the impact of using an electronic coordination system
Authors: Chumbley Karen , Wilson Tim , Ison Erica , Orlowski Andi 
Published: March 2023

AbstractThis study looks at the variations in end-of-life care in North-East Essex (eastern England) combining hospital records, official death records and the local electronic end-of-life coordination tool. These differences included dying in hospital (versus a general wish to die in the usual place of residence), and inequity in care provision: the place of death varying according to the cause of death (even for highly predictable conditions); and deprivation being associated with a greater likelihood of dying in hospital. There was a positive correlation between the use of an electronic end-of-life coordination system and dying in the preferred place of care. The results suggest two actions for policy makers. First, look at variations in end-of-life care so that areas of need can be identified. Second, use of an electronic end-of-life coordination tool is correlated with a reduction in unwarranted variation in the place of death.
Reevaluating the Suma Occupation in the Casas Grandes Valley, Chihuahua, Mexico
Authors: Douglas John E. , Brown Linda J. 
Published: March 2023

AbstractIn 1584, Baltasar de Obregón described the people he met in the Casas Grandes Valley (CGV), Northwest Chihuahua, Mexico. He juxtaposed these “rustic” people with the sophistication of the ancient builders of Paquimé who had lived in the CGV. Seventy years later, the Spanish missionaries called the people in the CGV “Suma” and enlisted them to build Mission San Antonio de Padua de Casas Grandes. Scholars have examined Obregón's and later administrators’ accounts to argue that the Suma were a small-scale society and unrelated to the ancient people of Paquimé (~AD 1200–1430). We reevaluate this interpretation. First, we contextualize the documentary evidence within contemporary frameworks. Second, using data from the 1958–1961 Joint Casas Grandes Expedition, we compare Paquimé and Suma material culture. We argue that the Suma were likely long-term residents of the Valley, organized into horticulture villages, and exhibiting cultural practices linked to Paquimé. After critiquing previous arguments about Suma origins, we consider how this criticism relates broadly to exploring Native Americans’ reactions to colonial settings.
Preventing nosocomial bloodstream infections (NBSIs) by implementing hospitalwide, department-level, self-investigations: A NBSIs frontline ownership intervention
Authors: Mudrik-Zohar Hadar , Chowers Michal , Temkin Elizabeth , Shitrit Pnina 
Published: March 2023

AbstractBackground:Nosocomial bloodstream infections (NBSIs) are adverse complications of hospitalization. Most interventions focus on intensive care units. Data on interventions involving patients’ personal care providers in hospitalwide settings are limited.Objective:To evaluate the impact of department-level NBSI investigations on infection incidence.Methods:Beginning in 2016, positive cultures, classified as suspected of being hospital acquired, were prospectively investigated by patients’ unit-based personal healthcare providers using a structured electronic questionnaire. After analyzing the conclusions of the investigation, a summary was sent quarterly to the departments and to hospital management. NBSI rates and clinical data during a 5-year period (2014–2018) were calculated and compared before and after the intervention (2014–2015 versus 2016–2018), using interrupted time-series analysis.Results:Among 4,135 bloodstream infections (BSIs), 1,237 (30%) were nosocomial. The rate of NBSI decreased from 4.58 per 1,000 admissions days in 2014 and 4.82 in 2015, to 3.81 in 2016, 2.94 in 2017 and 2.86 in 2018. Following a 4-month lag after introducing the intervention, the NBSI rate per 1000 admissions dropped significantly by 1.33 (P = .04; 95% CI, −2.58 to −0.07). The monthly NBSI rate continued to decrease significantly by 0.03 during the intervention period (P = .03; 95% CI, −0.06 to −0.002).Conclusions:Detailed department-level investigations of NBSI events performed by healthcare providers, increased staff awareness and frontline ownership and were associated with a decrease in NBSI rates hospitalwide.
Locating Disability Within a Health Justice Framework
Authors: Harris Jasmine E. 
Published: March 2023

AbstractThis Article explores the connections between disability and health justice in service of further tethering the two theories and practices. The author contends that disability should shift from marker of health inequity alone to critical demographic in the analytical and practical application of health justice. This theoretical move creates a more robust understanding of the harms of health injustice, its complexities, and, remedially, reveals underexplored legal and policy pathways to promote health justice.
(Trans)languaging, power, and resistance: Bordering as discursive agency
Authors: Savski Kristof 
Published: March 2023

AbstractThe multi/translingual turn in sociolinguistics has highlighted a number of ideological entanglements of foundational concepts, most significantly the way that the notion of ‘named languages’ as bordered entities is intertwined with ideologies of nation and race. In this article, I consider what the conceptual place for linguistic borders is within a ‘trans’ framework of language and propose a focus on bordering, social actions in which indexical meanings at different scales are mobilized to exert control over discursive space by erecting boundaries within or around it. I draw on data from a Facebook group for non-local teachers of English in Thailand, examining how bordering served interests of hegemonic power when linguistic borders were policed with reference to ideologies of nation, as well as how it enabled counter-hegemonic resistance when borders were erected to separate teachers of colour from the intense discursive struggle in the group. (Translanguaging, linguistic borders, bordering, code-switching, scale, resistance, discursive agency)*
Medical decisions influenced by eugenics: Hungarian gynecological practices during the 1910s
Authors: Szamosi Barna 
Published: March 2023

ArgumentThis study contributes to the discussion on the development of eugenics in Central-Eastern Europe by tracing the way that eugenic ideas entered into medical decision-making in Hungary. Through a case study that reviews the professional argumentation of the gynecological management of tuberculosis pregnancies, this paper shows that the subordination of individual reproductive rights to state interests was influenced by the ideas of eugenics, which had begun to enter into the professional public health discourse. A eugenically informed morality was envisioned, to guide decision-making in the interest of the Hungarian “race.” This biopolitically important morality can be viewed as an early influence on the formulation of biological citizenship. Leading figures were divided on how to ensure such morality: some scholars argued that education is the key, others thought that the state, and state actors, should act radically in the interest of the population and decide on behalf of the individual. Radical methods, such as the termination of pregnancies and sterilization of women, were among the practices of gynecologists. Although abortion and sterilization were not widespread and never became official therapeutic solutions for tuberculosis pregnancies, they were nonetheless part of a discourse that preceded the eugenic institutions of the interwar years.