bluuebunny/crossref_metadata_2025_split huggingface dataset:
Etching-Induced Surface Reconstruction of NiMoO4 for Oxygen Evolution Reaction
Authors: Zhu Jinli , Qian Jinmei , Peng Xuebing , Xia Baori , Gao Daqiang 
Published: January 2023

Abstract
Rational reconstruction of oxygen evolution reaction (OER) pre-catalysts and performance index of OER catalysts are crucial but still challenging for universal water electrolysis. Herein, we develop a double-cation etching strategy to tailor the electronic structure of NiMoO4, where the prepared NiMoO4 nanorods etched by H2O2 reconstruct their surface with abundant cation deficiencies and lattice distortion. Calculation results reveal that the double cation deficiencies can make the upshift of d-band center for Ni atoms and the active sites with better oxygen adsorption capacity. As a result, the optimized sample (NMO-30M) possesses an overpotential of 260 mV at 10 mA cm−2 and excellent long-term durability of 162 h. Importantly, in situ Raman test reveals the rapid formation of high-oxidation-state transition metal hydroxide species, which can further help to improve the catalytic activity of NiMoO4 in OER. This work highlights the influence of surface remodification and shed some light on activating catalysts.
Centrality-based lane interventions in road networks for improved level of service: the case of downtown Boise, Idaho
Authors: Ahmed Md Ashraf , Kays H. M. Imran , Sadri Arif Mohaimin 
Published: January 2023

AbstractRecent advancements in network science showed that the topological credentials of the elements (i.e., links) in a network carry important implications. Likewise, roadway segments (i.e., links) in a road network should be assessed based on their network position along with traffic conditions at a given geographic scale. The goal of this study is to present a framework that can identify and select critical links in a road network based on their topological importance such as centrality, and the effects of systematic interventions conducted on such links in improving overall system performance (vehicle delay, travel time) to provide an adequate level of service (LOS). A real-world road network (Boise downtown) is investigated by applying lane interventions on roadways experiencing high congestion. Microscopic traffic simulation and analyses are conducted to estimate the traffic flow parameters hence the performance of the road segments. The findings of this study show that interventions applied to critical and congested road segments improve the serviceability from LOS F to LOS E as well as from LOS D to LOS C. Besides, reduced travel time and vehicular delay (after applying intervention on critical components) are also observed for high demand OD pairs of the road network. As such the proposed framework has the potential to incorporate the topological credentials with traffic flow parameters and improve the performance of the road network. This systematic approach will help traffic managers and practitioners to develop strategies that enhance road network performance.
Benefits of adopting smart building technologies in building construction of developing countries: review of literature
Authors: Ejidike Cyril Chinonso , Mewomo Modupe Cecilia 
Published: January 2023

Abstract
Smart building technology has received a broad audience due to digitalisation and benefits in the construction industry. With global interest, the construction of smart buildings has become a new trend in development. Many studies identified a significant interest in the smart building technology application more than in conventional buildings. However, in developing countries, construction professionals have paid little attention to the adoption of smart building technology. Therefore, this paper aims to identify the benefits that are attached to the adoption of smart building technology (SBT) in the construction industry. The study is based on a systematic review of published articles in peer-reviewed journals and conferences. A total of 55 papers comprising conferences and journal articles retrieved from Scopus database were utilised for the study. The study's findings revealed efficient energy consumption, cost-effective building maintenance and operation, job creation, health care management, real-time monitoring, safety and security, among others, as benefits of smart building technologies (SBTs). For smart building technology to thrive in emerging economies, a comprehensive understanding of its benefits is highly imperative. This will not only promote construction professionals' knowledge of its concept but also enhance its successful adoption in these regions. Thus, the paper provides some insights into the benefit of smart building technology in developing countries while suggesting the formation of a synergic structure between the research community and practitioners in the construction sector.

Article highlight

Smart building promotes sustainability in the construction industry.

Productivity, collaboration and security increase smart building adoption.

Rigorous studies on smart building benefits are limited in developing countries.
Risk-Based Monitoring in Clinical Trials: 2021 Update
Authors: Adams Amy , Adelfio Anina , Barnes Brian , Berlien Ruth , Branco Danilo , Coogan Amanda , Garson Lauren , Ramirez Nycole , Stansbury Nicole , Stewart Jennifer , Worman Gillian , Butler Paula Jo , Brown Debby 
Published: January 2023

AbstractClinical trial quality depends on ensuring participant safety and data integrity, which require careful management throughout the trial lifecycle, from protocol development to final data analysis and submission. Recent developments—including new regulatory requirements, emerging technologies, and trial decentralization—have increased adoption of risk-based monitoring (RBM) and its parent framework, risk-based quality management (RBQM) in clinical trials. The Association of Clinical Research Organizations (ACRO), recognizing the growing importance of these approaches, initiated an ongoing RBM/RBQM landscape survey project in 2019 to track adoption of the eight functional components of RBQM. Here we present results from the third annual survey, which included data from 4889 clinical trials ongoing in 2021. At least one RBQM component was implemented in 88% of trials in the 2021 survey, compared with 77% in 2020 and 53% in 2019. The most frequently implemented components in 2021 were initial and ongoing risk assessments (80 and 78% of trials, respectively). Only 7% of RBQM trials were Phase IV, while the proportions of Phase I–III trials ranged 27–36%. Small trials (< 300 participants) accounted for 60% of those implementing RBQM. The therapeutic areas with the largest number of RBQM trials were oncology (38%), neurology (10%), and infectious diseases (9%). The 2021 survey confirmed a pattern of increasing RBM/RBQM adoption seen in earlier surveys, with risk assessments, which have broad regulatory support, driving RBQM growth; however, one area requiring further development is implementation of centralized monitoring combined with reductions in source data verification (SDV) and source data review (SDR).
An Evaluation of a Web-Based Crisis Management Training Program for Nurse Managers: The Case of the COVID-19 Crisis
Authors: Alan Handan , Harmanci Seren Arzu Kader , Eskin Bacaksiz Feride , Güngör Serkan , Bilgin Osman , Baykal Ülkü 
Published: January 2023

Abstract

Objective:
The effective management of nursing services, the main power in patients’ care and treatment in the front line of the fight against the COVID-19 pandemic, and nurse managers’ effective leadership behaviors in the fight against the pandemic have been important key factors. It is thus critical to support nurse managers, strengthen them through training, and increase their competency so that they can successfully manage crises, disasters, or pandemics. This study aims to assess the effect of a web-based training program on the knowledge levels of nurse managers who worked during the COVID-19 pandemic.

Methods:
This is a randomized controlled experimental study. The study population consisted of the members of the Nurse Managers Association. The intervention group had 30 participants, and the control group had 31 participants in the final.

Results:
There was no statistically significant difference between the intervention and control groups’ mean number of correct pre-test responses (P = 0.843). However, the intervention group’s mean number of correct post-test responses was statistically significantly higher than the control group’s after the web-based training program (P < 0.001).

Conclusions:
Web-based training programs can effectively increase nurse managers’ knowledge levels. Therefore, web-based training programs should be developed in ordinary times for the management of crisis situations.
The Church of England and Constitutional Reform: The Enabling Act in British Politics and English Religion, 1913–1928
Authors: Williamson Philip 
Published: January 2023

AbstractIn 1919, a parliamentary act reconstructed the relations between the British state and the Church of England. The passage of this act had considerable constitutional, political, ecclesiastical, and religious significance, and it is best understood by considering all of these aspects together. The church obtained a new statutory status, a large degree of self-government, and a special legislative procedure that augmented the privileges of its ecclesiastical establishment. All this was achieved without the intense political struggles that had accompanied many church and state issues during the previous hundred years. The apparent ease of the Enabling Act's passage was symptomatic of transformations in the relationship between the Church of England and nonconformity, in public religion, and in the character of British politics. But it was also the outcome of an impressive feat of persuasion and organization. Although the act did not secure the intended degree of spiritual independence, as became painfully evident during the parliamentary prayer book crisis in 1927–28, it placed the church establishment in a more secure position, allowing it to reform its administration and finances and to gain further advantages and new forms of relevance in future years.
Stakeholder salience: corporate responses during a public health crisis
Authors: Liou Ru-Shiun , Rao-Nicholson Rekha , Shang Yanyan 
Published: January 2023

Abstract
Prior crisis management research mainly studied the context of accidental and preventable crises which are generally within the organization's control, while the COVID-19 pandemic presents a public health crisis in which corporations do not have control over the extent of the impacts. Built upon the stakeholder salience framework, we propose and test the hypotheses that are derived from societal stakeholders' power, legitimacy, and urgent claims during the pandemic and reveal several corporate responses that address multiple stakeholders' interests, including customers, shareholders, community, suppliers, and employees. Specifically, corporations with a larger number of employees and social media followers tend to adopt more corporate responses that address various stakeholders' concerns. Further, in highly impacted industries, there is an increased influence of social media followers on customer-related corporate responses as well as a decreased influence of employees on employee-related corporate responses.
Hydrodynamic trade-offs in potential swimming efficiency of planispiral ammonoids
Authors: Ritterbush Kathleen Anita , Hebdon Nicholas 
Published: January 2023

AbstractAmmonoid cephalopods were Earth's most abundant oceanic carnivores for hundreds of millions of years, yet their probable range of swimming capabilities is poorly constrained. We investigate potential hydrodynamic costs and advantages provided by different conch geometries using computational fluid dynamics simulations. Simulations of raw drag demonstrate expected increases with velocity and conch inflation, consistent with published experimental data. Analysis at different scales of water turbulence (via Reynolds number) reveals dynamic trade-offs between conch shape, size, and velocity. Among compressed shells, the cost of umbilical exposure makes little difference at small sizes (and/or low velocity) but is profound at large sizes (and/or high velocity). We estimate that small ammonoids could travel one to three diameters per second (i.e., a typical ammonoid with a 5-cm-diameter shell could travel 5–15 cm/s), but that large ammonoids faced greater discrepancies (a 10 cm serpenticone likely traveled <30 cm/s, while a 10 cm oxycone might achieve >40 cm/s). All of these velocities are proposed only for short bursts of jet propulsion, lasting only a few seconds, in the service of dodging a predator or conspecific rival. These analyses do not include phylogeny, taxonomy, second-order conch architecture (ribs, ornament, etc.), or hydrostatic consequences of internal anatomy (soft body, suture complexity). For specific paleoecological context, we consider how these results inform our reconstruction of Jurassic ammonite recovery from the end-Triassic mass extinction. Greater refinements will come with additional simulations that measure how added mass is influenced by individual shape-trait variations, ornament, and subtle body extensions during a single jet motion.
Acquiescence Bias Inflates Estimates of Conspiratorial Beliefs and Political Misperceptions
Authors: Hill Seth J. , Roberts Margaret E. 
Published: January 2023

AbstractScholars, pundits, and politicians use opinion surveys to study citizen beliefs about political facts, such as the current unemployment rate, and more conspiratorial beliefs, such as whether Barack Obama was born abroad. Many studies, however, ignore acquiescence-response bias, the tendency for survey respondents to endorse any assertion made in a survey question regardless of content. With new surveys fielding questions asked in recent scholarship, we show that acquiescence bias inflates estimated incidence of conspiratorial beliefs and political misperceptions in the United States and China by up to 50%. Acquiescence bias is disproportionately prevalent among more ideological respondents, inflating correlations between political ideology such as conservatism and endorsement of conspiracies or misperception of facts. We propose and demonstrate two methods to correct for acquiescence bias.
The effect of attention bias modification on depressive symptoms in a comorbid sample: a randomized controlled trial
Authors: Bø Ragnhild , Kraft Brage , Pedersen Mads Lund , Joormann Jutta , Jonassen Rune , Osnes Kåre , Harmer Catherine J. , Landrø Nils Inge 
Published: January 2023

AbstractBackgroundStudies investigating the long-term effect of attention bias modification (ABM) in clinical samples are lacking. This study investigates the 6-months follow-up effect of ABM on depressive symptoms in participant with major depressive disorder with and without comorbid disorders.MethodsWe conducted a double-blind randomized sham-controlled trial in 101 participants between 19 November 2019, and 17 August 2021. Follow-up ended 3 April 2022. Participants were allocated to ABM or sham condition twice daily for 14 consecutive days. Primary outcomes were the total score on the Beck Depression Inventory-II (BDI-II) at 6 months, mean Brief State Rumination Inventory (BSRI) score post-treatment and reduction in BSRI post-treatment. Secondary outcome was change in attentional bias (AB). The trial was preregistered in ClinicalTrials.gov (#NCT 04137367).ResultsA total of 118 patients aged 18–65 years were assessed for eligibility, and 101 were randomized and subjected to intention-to-treat analyses. At 6 months, ABM had no effect on depression and anxiety compared to a sham condition. While rumination decreased during the intervention, there was no effect of condition on rumination and AB. Predictor analysis did not reveal differences between participants with ongoing major depressive episode or comorbid anxiety.ConclusionCompared to sham training, there was no effect of ABM on depressive symptoms at 6-months follow-up. Since the intervention failed at modifying AB, it is unclear whether changes in AB are related to long-term outcomes.
Genuine policy learning is fundamental: the journey of the United Arab Emirates toward the establishment of health technology assessment
Authors: Ahmad Maiss , Akhras Kasem S. , Saleh Shadi 
Published: January 2023

Abstract
The launch of innovative technologies has been credited with significant improvements in health indicators, but it comes at a high financial impact, and the value of certain innovations may not be well documented. Health technology assessment (HTA) is a universally established process to assess the incremental value of innovations. Despite its acknowledged value, almost one-third of the countries around the globe have not established yet a formal HTA in their health systems. The UAE is one of the pioneering countries worldwide in adopting innovative health technologies. This emphasizes the importance of exploring the key elements in the UAE’s journey toward the establishment of HTA. Our study aims to articulate an academic insight that can support the ongoing endeavors to establish the HTA in the UAE. This case study was guided by an analytical framework. Data was collected from document review and semistructured interviews, then analyzed by applying the codebook thematic analysis technique. The findings outline multiple facilitators and challenges in the perspective process, as they show a multidimensional interlink between all identified elements. Markedly, leveraging the role of specialized academia and building HTA genuine knowledge are the areas that need the most attention. The originality of this research is associated with analyzing the three health policy pillars: the context, actors, and content in a prospective HTA establishment process. The main practical implications generated from this study are supporting global health organizations, HTA policy entrepreneurs, and academics in improving their strategies and designing more effective HTA policy learning programs.
Learning to Live with Strange Error: Beyond Trustworthiness in Artificial Intelligence Ethics
Authors: Rathkopf Charles , Heinrichs Bert 
Published: January 2023

AbstractPosition papers on artificial intelligence (AI) ethics are often framed as attempts to work out technical and regulatory strategies for attaining what is commonly called trustworthy AI. In such papers, the technical and regulatory strategies are frequently analyzed in detail, but the concept of trustworthy AI is not. As a result, it remains unclear. This paper lays out a variety of possible interpretations of the concept and concludes that none of them is appropriate. The central problem is that, by framing the ethics of AI in terms of trustworthiness, we reinforce unjustified anthropocentric assumptions that stand in the way of clear analysis. Furthermore, even if we insist on a purely epistemic interpretation of the concept, according to which trustworthiness just means measurable reliability, it turns out that the analysis will, nevertheless, suffer from a subtle form of anthropocentrism. The paper goes on to develop the concept of strange error, which serves both to sharpen the initial diagnosis of the inadequacy of trustworthy AI and to articulate the novel epistemological situation created by the use of AI. The paper concludes with a discussion of how strange error puts pressure on standard practices of assessing moral culpability, particularly in the context of medicine.
Convergence of blanket times for sequences of random walks on critical random graphs
Authors: Andriopoulos George 
Published: January 2023

AbstractUnder the assumption that sequences of graphs equipped with resistances, associated measures, walks and local times converge in a suitable Gromov-Hausdorff topology, we establish asymptotic bounds on the distribution of the
$\varepsilon$
-blanket times of the random walks in the sequence. The precise nature of these bounds ensures convergence of the
$\varepsilon$
-blanket times of the random walks if the
$\varepsilon$
-blanket time of the limiting diffusion is continuous at
$\varepsilon$
with probability 1. This result enables us to prove annealed convergence in various examples of critical random graphs, including critical Galton-Watson trees and the Erdős-Rényi random graph in the critical window. We highlight that proving continuity of the
$\varepsilon$
-blanket time of the limiting diffusion relies on the scale invariance of a finite measure that gives rise to realizations of the limiting compact random metric space, and therefore we expect our results to hold for other examples of random graphs with a similar scale invariance property.
Off-diagonal book Ramsey numbers
Authors: Conlon David , Fox Jacob , Wigderson Yuval 
Published: January 2023

AbstractThe book graph$B_n ^{(k)}$consists of$n$copies of$K_{k+1}$joined along a common$K_k$. In the prequel to this paper, we studied the diagonal Ramsey number$r(B_n ^{(k)}, B_n ^{(k)})$. Here we consider the natural off-diagonal variant$r(B_{cn} ^{(k)}, B_n^{(k)})$for fixed$c \in (0,1]$. In this more general setting, we show that an interesting dichotomy emerges: for very small$c$, a simple$k$-partite construction dictates the Ramsey function and all nearly-extremal colourings are close to being$k$-partite, while, for$c$bounded away from$0$, random colourings of an appropriate density are asymptotically optimal and all nearly-extremal colourings are quasirandom. Our investigations also open up a range of questions about what happens for intermediate values of$c$.
All-triploid offspring in the yellowtail tetra Astyanax altiparanae Garutti & Britski 2000 (Teleostei, Characidae) derived from female tetraploid × male diploid crosses
Authors: Alves Andreoli Correia , Yasui George Shigueki , do Nascimento Nivaldo Ferreira , Monzani Paulo Sérgio , Senhorini José Augusto , Pereira dos Santos Matheus 
Published: January 2023

SummaryThis study aimed to evaluate the ploidy and survival of larvae resulting from crosses between tetraploid females and diploid males of yellowtail tetra Astyanax altiparanae, both females (three diploids and three tetraploids) and males (n = 3 diploids). Breeders were subjected to hormonal induction with pituitary gland extract from common carp fish (Cyprinus carpio). Females received two doses at concentrations of 0.3 and 3.0 mg/kg −1 body weight and at intervals of 6 h. Males were induced with a single dose of 3.0 mg/kg −1 applied simultaneously with the second dose in females. Oocytes from each diploid and tetraploid female were fertilized with semen from the same male, resulting in two crosses: cross 1 (diploid male and diploid female) and cross 2 (diploid male and tetraploid female). The procedures were performed with separate females (diploid and tetraploid) and diploid males for each repetition (n = 3). For ploidy determination, 60 larvae from each treatment were analyzed using flow cytometry and cytogenetic analyses. As expected, flow cytometry analysis showed that progenies from crosses 1 and 2 presented diploid and triploid individuals, respectively, with a 100% success rate. The same results were confirmed in the cytogenetic analysis, in which the larvae resulting from cross 1 had 50 metaphase chromosomes and those from cross 2 had 75 chromosomes. The oocytes have a slightly ovoid shape at the time of extrusion. Diploid oocytes had a size of 559 ± 20.62 μm and tetraploid of 1025.33 ± 30.91 μm. Statistical differences were observed between eggs from crosses 1 and 2 (P = 0.0130). No significant differences between treatments were observed for survival at the 2-cell stage (P = 0.6174), blastula (P = 0.9717), gastrula (P = 0.5301), somite (P = 0.3811), and hatching (P = 0.0984) stages. In conclusion, our results showed that tetraploid females of the yellowtail tetra A. altiparanae are fertile, present viable gametes after stripping and fertilization using the ‘dry method’, and may be used for mass production of triploids. This is the first report of these procedures within neotropical characins, and which can be applied in other related species of economic importance.