bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Stochastic Price Duration Model for Estimating High-Frequency Volatility
Authors: Pelletier Denis , Wei Wei 
Published: October 2023

Abstract
We propose a stochastic price duration model to estimate high-frequency volatility. A price duration is directly linked to volatility from the passage time theory for Brownian motions, and it possesses several advantages over returns for estimating volatility. We employ price durations in a parametric model that directly specifies stochastic volatility dynamics. Our approach allows us to estimate intraday spot volatility and our empirical results suggest the presence of important intraday volatility dynamics. We conduct an extensive integrated variance forecast comparison, which demonstrates the superior performance of our proposed models compared with other duration-based or return-based estimators.
Dwarf galaxy archaeology from chemical abundances and star-formation histories
Authors: Johnson James W , Conroy Charlie , Johnson Benjamin D , Peter Annika H G , Cargile Phillip A , Bonaca Ana , Naidu Rohan P , Woody Turner , Ting Yuan-Sen , Han Jiwon Jesse , Speagle Joshua S 
Published: October 2023

ABSTRACT
We model the stellar abundances and ages of two disrupted dwarf galaxies in the Milky Way stellar halo: Gaia-Sausage Enceladus (GSE) and Wukong/LMS-1. Using a statistically robust likelihood function, we fit one-zone models of galactic chemical evolution with exponential infall histories to both systems, deriving e-folding time-scales of τin = 1.01 ± 0.13 Gyr for GSE and $\tau _\text{in} = 3.08^{+3.19}_{-1.16}$ Gyr for Wukong/LMS-1. GSE formed stars for $\tau _\text{tot} = 5.40^{+0.32}_{-0.31}$ Gyr, sustaining star formation for ∼1.5–2 Gyr after its first infall into the Milky Way ∼10 Gyr ago. Our fit suggests that star formation lasted for $\tau _\text{tot} = 3.36^{+0.55}_{-0.47}$ Gyr in Wukong/LMS-1, though our sample does not contain any age measurements. The differences in evolutionary parameters between the two are qualitatively consistent with trends with stellar mass M⋆ predicted by simulations and semi-analytic models of galaxy formation. Our inferred values of the outflow mass-loading factor reasonably match $\eta \propto M_\star ^{-1/3}$ as predicted by galactic wind models. Our fitting method is based only on Poisson sampling from an evolutionary track and requires no binning of the data. We demonstrate its accuracy by testing against mock data, showing that it accurately recovers the input model across a broad range of sample sizes (20 ≤ N ≤ 2000) and measurement uncertainties (0.01 ≤ σ[α/Fe], σ[Fe/H] ≤ 0.5; $0.02 \le \sigma _{\log _{10}(\text{age})} \le 1$). Due to the generic nature of our derivation, this likelihood function should be applicable to one-zone models of any parametrization and easily extensible to other astrophysical models which predict tracks in some observed space.
Reply to Finsterer et al
Authors: Hu Weili , Shankar Pavitra , Yao Yuanhang , Su Xinyi , Kim Jung Eun 
Published: October 2023

Abstract
This letter acknowledges Finsterer and colleagues' insightful comments on pesticide use in fruits and vegetables and impact on eye health. Pesticides can harm eyes through various exposures. Adverse effects occur due to direct entry into ocular tissues, with absorption through eye components. While the potential of organic diets to reduce pesticide exposure is acknowledged, the original paper's cited studies lack clarity on whether organic diet interventions were used. Future systematic reviews comparing organic and nonorganic diets could provide further insights.
From responsibility to risk: ethics in the Bermuda Triangle of EU research and innovation policy
Authors: Nikolova Blagovesta I 
Published: October 2023

Abstract
This paper aims to trace how the meaning of ethics in the research and innovation (R&I) sector is discursively and procedurally revised within two consecutive modes of legitimizing public policies in the European Union (EU), namely, good governance and better regulation. The text draws insight from Ernesto Laclau’s work on discursivity, contingency, and hegemony and Chantal Mouffe’s critique of consensual political theories. It shows that with the policy transition from responsible innovation to breakthrough and disruptive innovation, the possibilities to employ ethics in interrogating the ambiguous nature of science and technology advancement become very limited. Ethics is currently construed as a means for unclogging the innovation process and embracing the collective production of risks. The paper demonstrates that the recent emptying of ethics within EU R&I is an expected effect of hegemonization practices and discursive configurations promoting and stabilizing the science–market alliance in science and policy relations.
Integrating health geography and behavioral economic principles to strengthen context-specific behavior change interventions
Authors: Barber Brittany Victoria , Kephart George , Martin-Misener Ruth , Vallis Michael , Matthews Stephen , Atkins Lou , Cassidy Christine , Curran Janet , Rainham Daniel 
Published: October 2023

Abstract
The long-term economic viability of modern health care systems is uncertain, in part due to costs of health care at the end of life and increasing health care utilization associated with an increasing population prevalence of multiple chronic diseases. Control of health care spending and sustaining delivery of health care services will require strategic investments in prevention to reduce the risk of disease and its complications over an individual’s life course. Behavior change interventions aimed at reducing a range of harmful and risky health-related behaviors including smoking, physical inactivity, excess alcohol consumption, and excess weight, are one approach that has proven effective at reducing risk and preventing chronic disease. However, large-scale efforts to reduce population-level chronic diseases are challenging and have not been very successful at reducing the burden of chronic diseases. A new approach is required to identify when, where, and how to intervene to disrupt patterns of behavior associated with high-risk factors using context-specific interventions that can be scaled. This paper introduces the need to integrate theoretical and methodological principles of health geography and behavioral economics as opportunities to strengthen behavior change interventions for the prevention of chronic diseases. We discuss how health geography and behavioral economics can be applied to expand existing behavior change frameworks and how behavior change interventions can be strengthened by characterizing contexts of time and activity space.
Loss of UCP2 causes mitochondrial fragmentation by OMA1‐dependent proteolytic processing of OPA1 in podocytes
Authors: Yang Qianqian , Wang Lulu , Liang Yuehong , He Qingyu , Sun Qi , Luo Jing , Cao Hongdi , Fang Yi , Zhou Yang , Yang Junwei , Wen Ping , Jiang Lei 
Published: October 2023

AbstractMitochondrial dysfunction plays an important role in the onset and progression of podocyte injury and proteinuria. However, the process by which the change in the podocyte mitochondria occurs is not well understood. Uncoupling protein 2 (UCP2) is a mitochondrial anion carrier protein, which is located in the mitochondrial inner membrane. Here, we reported that mice with podocyte‐specific Ucp2 deficiency developed podocytopathy with proteinuria with aging. Furthermore, those mice exhibited increased proteinuria in experimental models evoked by Adriamycin. Our findings suggest that UCP2 mediates mitochondrial dysfunction by regulating mitochondrial dynamic balance. Ucp2‐deleted podocytes exhibited increased mitochondrial fission and deficient in ATP production. Mechanistically, opacity protein 1 (OPA1), a key protein in fusion of mitochondrial inner membrane, was regulated by UCP2. Ucp2 deficiency promoted proteolysis of OPA1 by activation OMA1 which belongs to mitochondrial inner membrane zinc metalloprotease. Those finding demonstrate the role of UCP2 in mitochondrial dynamics in podocytes and provide new insights into pathogenesis associated with podocyte injury and proteinuria.
Novel MAFA+, ISL1+, NKX6-1-stem cell derived pancreatic cell clusters secrete insulin and control blood glucose in rodent models of diabetes
Authors: Ratiu J. , Southard S. , Rust W. 
Published: October 2023

AbstractThis article describes a stem cell line derived by reprogramming of native human islet cells that consistently generates pure populations of endocrine pancreatic clusters following a simple differentiation protocol. Surprisingly, the population of stem cell derived pancreatic endocrine clusters that was most consistently capable of regulating blood glucose in rodent models of diabetes lacked robust expression of the key beta cell maturation-associated factor NKX6-1 but did manifest high expression of other key drivers of endocrine cell specification and maturation, ISL1 and MAFA. These data support the hypothesis that multiple pancreatic profiles can be identified in stem cell derived cultures and that these have disparate in vivo potency. The population with low NKX6-1 and high in vivo potency was further characterized by transcriptome profiling as an endocrine-committed population progressively maturing in vitro to a state proximal to the native islet.
SiamEEGNet: Siamese Neural Network-Based EEG Decoding for Drowsiness Detection
Authors: Chang Li-Jen , Chen Hsi-An , Chang Chin , Wei Chun-Shu 
Published: October 2023

AbstractRecent advancements in deep-learning have significantly enhanced EEG-based drowsiness detection. However, most existing methods overlook the importance of relative changes in EEG signals compared to a baseline, a fundamental aspect in conventional EEG analysis including event-related potential and time-frequency spectrograms. We herein introduce SiamEEGNet, a Siamese neural network architecture designed to capture relative changes between EEG data from the baseline and a time window of interest. Our results demonstrate that SiamEEGNet is capable of robustly learning from high-variability data across multiple sessions/subjects and outperforms existing model architectures in cross-subject scenarios. Furthermore, the model’s interpretability associates with previous findings of drowsiness-related EEG correlates. The promising performance of SiamEEGNet highlights its potential for practical applications in EEG-based drowsiness detection. We have made the source codes available athttp://github.com/CECNL/SiamEEGNet.
Blockchain for environmental peacebuilding: application in water management
Authors: Huseynov Fariz , Mitchell Jeanene 
Published: October 2023

Purpose
The purpose of this paper is to spur further exploration of blockchain technologies for environmental peacebuilding, specifically through water management. Although the environmental peacebuilding field acknowledges the potentially transformative nature of frontier technologies, most existing studies do not address how such technologies can contribute to peacebuilding through improved natural resource governance. Using a theory synthesis research design, this conceptual paper connects these studies to discuss how blockchain technologies in water management may contribute to environmental peacebuilding through the efficient and transparent management of natural resources.

Design/methodology/approach
The authors use a conceptual approach and a theory synthesis research design to present potential mechanisms through which blockchain technology can potentially contribute to environmental peacebuilding.

Findings
The authors discuss the limitations in the literature on environmental peacebuilding, blockchain and water management, concluding that the third generation of studies should focus on the role of frontier technologies. This approach should especially address the negative consequences of technology for peacebuilding objectives. The authors argue that blockchain applications in water management can potentially contribute to environmental peacebuilding objectives in three ways: (i) creating a mechanism for confidence-building in low-trust contexts through automated and transparent water transactions, (ii) facilitating postconflict economic development through attracting capital and increasing the efficiency of water management and (iii) improving governance through greater transparency and local participation in natural resource management.

Originality/value
To the best of the authors’ knowledge, this study is among the first to conceptually explore the use of blockchain technology for water management in the context of environmental peacebuilding. The insights from this study can guide policymakers of conflict sides that focus on resolving issues such as lack of governance and low state agency.
Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sector
Authors: Resende Bianca Arcifa de , Dedini Franco Giuseppe , Eckert Jony Javorsky , Sigahi Tiago F.A.C. , Pinto Jefferson de Souza , Anholon Rosley 
Published: October 2023

PurposeThis study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy variations, supported by a case application in the aeronautical sector.Design/methodology/approachBased on experts' opinions in risk analysis within the aeronautical sector, rules governing the relationship between severity, occurrence, detection and risk factor were defined. This served as input for developing a fuzzyfied FMEA tool using the Matlab Fuzzy Logic Toolbox. The tool was applied to the sealing process in a company within the aeronautical sector, using triangular and trapezoidal membership functions, and the results were compared with the traditional FMEA approach.FindingsThe results of the comparative application of traditional FMEA and fuzzyfied FMEA using triangular and trapezoidal functions have yielded valuable insights into risk analysis. The findings indicated that fuzzyfied FMEA maintained coherence with the traditional analysis in identifying higher-risk effects, aligning with the prioritization of critical failure modes. Additionally, fuzzyfied FMEA allowed for a more refined prioritization by accounting for variations in each variable through fuzzy rules, thereby improving the accuracy of risk analysis and providing a more realistic representation of potential hazards. The application of the developed fuzzyfied FMEA approach showed promise in enhancing risk assessment in the aeronautical sector by considering uncertainties and offering a more detailed and context-specific analysis compared to conventional FMEA.Practical implicationsThis study emphasizes the potential of fuzzyfied FMEA in enhancing risk assessment by accurately identifying critical failure modes and providing a more realistic representation of potential hazards. The application case reveals that the proposed tool can be integrated with expert knowledge to improve decision-making processes and risk mitigation strategies within the aeronautical industry. Due to its straightforward approach, this facilitating methodology could also prove beneficial in other industrial sectors.Originality/valueThis paper presents the development and application of a facilitating methodology for implementing Fuzzy FMEA, comparing it with the traditional approach and incorporating variations using triangular and trapezoidal functions. This proposed methodology uses the Toolbox Fuzzy Logic of Matlab to create a fuzzyfied FMEA tool, enabling a more nuanced and context-specific risk analysis by considering uncertainties.
An incentive mechanism contract model to coordinate a vaccine supply chain under demand uncertainty
Authors: Chandra Dheeraj , Jain Vipul , Chan Felix T.S. 
Published: October 2023

PurposeThe increasing prevalence of a wide range of infectious diseases, as well as the underwhelming results of vaccination rates that may be traced back to problems with vaccine procurement and distribution, have brought to the fore the importance of vaccine supply chain (VSC) management in recent years. VSC is the cornerstone of effective vaccination; hence, it is crucial to enhance its performance, particularly in low- and middle-income countries where immunization rates are not satisfactory.Design/methodology/approachIn this paper, the authors focus on VSC performance improvement of India by proposing supply contracts under demand uncertainty. The authors propose three contracts – wholesale price (WSP), cost sharing (CS) and incentive mechanism (IM) for the government-operated immunization program of India.FindingsThe authors' findings indicate that IM is capable of coordinating the supply chain, whereas the other two contracts are inefficient for the government. To validate the model, it is applied to a real-world scenario of coronavirus disease 2019 (COVID-19) in India, and the findings show that an IM contract improves the overall efficiency of the system by 23.72%.Originality/valuePrevious studies focused mainly on the influenza VSC industry within developed nations. Nonetheless, there exists a dearth of literature pertaining to the examination of supply contracts and their feasibility for immunization programs that are administered by the government and aimed at optimizing societal benefits. The authors' findings can be beneficial to the immunization program of India to optimize their VSC cost.
Integration of metabolomics and transcriptomics analyses reveals the mechanism of nano‐selenium treated to activate phenylpropanoid metabolism and enhance the antioxidant activity of peach
Authors: Ge Xuliyang , Zhang Jiukai , He Lei , Yu Ning , Pan Canping , Chen Ying 
Published: October 2023

AbstractFoliar spraying to improve the quality of fruits is a general approach nowadays. In this study, 10 ppm nano‐selenium (nano‐Se) diluted with distilled water was sprayed on peach leaves every 10 days for a total of 7 sprays during the fruit set period. And then their fruit quality was compared with that of control group. It was found that the firmness, soluble solid concentration, total phenol, and proanthocyanidin content of the peaches were raised after the nano‐Se treatment. Moreover, the ascorbic acid glutathione loop (ASA‐GSH loop) was fully activated in the nano‐Se treated group, and the associated antioxidant capacity and enzyme activity were significantly increased. Metabolomics revealed that nano‐Se could upregulate some metabolites, such as phenylalanine, naringenin, and pinocembrin, to fully activate the metabolism of phenylpropanoids. Further, based on transcriptomics, nano‐Se treatment was found to affect fruit quality by regulating genes related to phenylpropanoid metabolism, such as arogenate/prephenate dehydratase (ADT), genes related to abscisic acid metabolism such as (+)‐abscisic acid 8′‐hydroxylase (CYP707A), and some transcription factors such as MYB. Based on the comprehensive analysis of physicochemical indicators, metabolomics, and transcriptomics, it was found that nano‐Se improved fruit quality by activating phenylpropanoid metabolism and enhancing antioxidant capacity. This work provides insights into the mechanism of the effect of nano‐Se fertilizer on peach fruit quality.Practical ApplicationThe firmness and soluble solid concentration of peaches are higher after nano‐Se treatment, which is more in line with people's demand for hard soluble peaches like “Yingzui.” The antioxidant capacity, antioxidant substance content, and antioxidant enzyme activity of nano‐Se‐treated peaches are higher, with potential storage resistance and health effects on human body. The mechanism of nano‐Se affecting peach quality was analyzed by metabolomics and transcriptomics, which is a reference and guide for the research and application of nano‐Se.
Prevalence and diversity of avian malaria parasites in illegally traded white‐winged parakeets in Peruvian Amazonas
Authors: Marzal A. , Magallanes S. , Salas‐Rengifo T. , Muriel J. , Navarro C. , Vecco D. , Guerra‐Saldaña C. , Mendo L. , Paredes V. , González‐Blázquez M. , García‐Longoria L. , Díez‐Fernández A. 
Published: October 2023

AbstractIllegal or poorly regulated wildlife trade may enhance parasite spread worldwide, leading to pathogen outbreaks and the emergence of diseases affecting native wildlife, domestic animals and humans. The order Psittaciformes has the largest proportion of endangered species among all birds worldwide and is one of the most trafficked taxa in the pet trade. However, despite the large number of parrot species commercialized worldwide, the influence of illegally traded wild birds on the introduction of exotic pathogens is still poorly investigated. Here we molecularly examined the prevalence and genetic diversity of haemosporidian parasites in illegally traded white‐winged parakeets (Brotogeris versicolurus), one of the most trafficked parrots in South America. We found that 18.5% of parakeets harboured Plasmodium relictum GRW04, a highly invasive malaria parasite provoking population decline and even extinctions in native avifauna when established outside its natural range. We also showed that malaria infected birds have lower body condition than uninfected parakeets, revealing the negative effects of malaria on their avian hosts. These outcomes highlight the risk of malaria spill over and disease outbreak in illegally traded wildlife. Our results also reveal epidemiological key concepts in disease transmission, such as the role of poorly studied parrot species as natural reservoir hosts of haemosporidians. These findings stress the importance of enforcing health control regulations and trade policies to fight wildlife trafficking effectively.
Age misreporting: An empirical investigation using the New Zealand contingents in the Second Boer War
Authors: Brooke Geoffrey , Cheung Lydia 
Published: October 2023

AbstractThis is a first focused examination of age misreporting in military recruitment. We take advantage of an original dataset comprised of New Zealand military personnel records in the Second Boer War matched with birth historical records. First, we find that age misrepresentation is common: about one third of soldiers on our dataset misreport their ages. Second, we find that soldiers the estimated age‐specific mean heights do not change significantly when we change from using reported ages to using true ages. Researchers can prioritise the investigation of true ages on those reporting to be 21 or younger.
A call for clarity: a scoping review of predictors of poor outcome after emergency abdominal surgery for inflammatory bowel disease
Authors: Bunce J. A. , Wall J. J. S. , Lund J. N. , Tierney G. M. 
Published: October 2023

AbstractAimThe medical management of inflammatory bowel disease (IBD) is rapidly progressing; however, many patients with the disease still require surgery. Often this is done as an emergency. Initiatives such as the National Emergency Laparotomy Audit have shown how evidence‐based emergency surgery improves outcomes for the patient. The aim of this scoping review is to describe the current evidence base on risk stratification in emergency abdominal surgery for IBD.MethodsA literature search, abstract and full paper screening resulted in 17 articles representing 63 472 patients from seven countries.ResultsIt is likely that age, the American Society of Anesthesiologists grade, comorbidity and organ dysfunction play a similar role in risk stratification in IBD patients as in other emergency abdominal surgery cohorts. However, the reporting of what is considered an IBD emergency is variable. Six studies include clear definitions of emergency in our study. The range of what is considered an emergency is within 12 h of admission to any time within an unplanned admission.ConclusionTo have data driven, evidence‐based emergency surgical practice in IBD we need consistency of reporting, including the definitions of emergency and urgency. Core descriptor sets in IBD would be valuable.