bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of goal-directed analgesia using the analgesia nociception index in children undergoing surgery for moyamoya disease
Authors: Park Jung-Bin , Kang Pyoyoon , Ji Sang-Hwan , Jang Young-Eun , Lee Ji-Hyun , Kim Jin-Tae , Kim Hee-Soo , Kim Eun-Hee 
Published: June 2024

BACKGROUND
The potential benefits of Analgesia Nociception Index guided intra-operative analgesia on intra-operative opioid consumption remains to be demonstrated in paediatric anaesthesia.

OBJECTIVES
This study aimed to explore the effects of Analgesia Nociception Index guided analgesia on sufentanil consumption during anaesthesia and postoperative pain scores in paediatric patients with moyamoya disease.

DESIGN
A prospective randomised controlled study.

SETTING
Seoul National University Children's Hospital, Seoul, Republic of Korea.

PATIENTS
A total of 40 children scheduled for encephaloduroarteriosynangiosis.

MAIN OUTCOME MEASURES
The primary outcome was total intra-operative sufentanil consumption, and the secondary outcomes included postoperative pain scores and incidence of opioid-related adverse events.

RESULTS
The Analgesia Nociception Index group showed lower intra-operative sufentanil consumption (in μg kg−1 h−1) compared with the Standard group (0.30 ± 0.12 and 0.39 ± 0.17, respectively; mean difference, –0.09; 95% confidence interval, –0.19 to 0.00; P = 0.049). Postoperatively, compared with the Standard group, the Analgesia Nociception Index group reported lower median pain scores at 18 and 24 h and maximum pain within 24 h (1 [0 to 2] vs. 3 [2 to 5]; P = 0.004, 1 [0 to 2] vs. 3 [1 to 4]; P = 0.041, and 4 [3 to 5] vs. 5 [4 to 7]; P = 0.045, respectively), with fewer patients experiencing nausea (3 [15%] vs. 10 [50%], P = 0.043).

CONCLUSION
The Analgesia Nociception Index guided analgesic protocol can reduce intra-operative sufentanil consumption and postoperative pain within 24 h with fewer nausea symptoms in paediatric patients with moyamoya disease who undergo encephaloduroarteriosynangiosis.

TRIAL REGISTRATION NUMBER
NCT05672212 (registered at clinicaltrials, principal investigator: K.E.H., registration date: 2 January 2023)
Mood Tracker: A Randomized Controlled Trial of a Self-Monitoring Intervention for Emotional Distress After Traumatic Brain Injury
Authors: Sherer Mark , Juengst Shannon , Sander Angelle M. , Leon-Novelo Luis , Liu Xiangyi , Bogaards Jay , Chua Wilma , Tran Kim 
Published: June 2024

Objective:
Persons with traumatic brain injury (TBI) frequently experience emotional distress (ED) manifested in anxiety and depression. However, they may not access mental health services due to external (eg, access, transportation, and cost) or internal (eg, stigma and discomfort with traditional counseling) barriers. Based on substantial literature indicating that self-monitoring can ameliorate several health conditions, we conducted a randomized, parallel group, wait-list control (WLC) trial of a self-monitoring intervention to decrease ED after TBI.

Setting:
Community in the southwestern United States.

Participants:
Persons with medically documented complicated mild, moderate, and severe TBI.

Design:
About 127 participants were randomized in blocks of 6 to an active treatment (AT) group, wherein they completed multiple assessments of ED each week over a 6-week period via a smartphone app, or a WLC group in a parallel group, controlled trial. Participants received weekly support calls to promote self-monitoring of ED using ecological momentary assessment.

Main Measures:
ED (Patient Health Questionnaire—9 and Generalized Anxiety Disorder—7), Satisfaction with Life Scale, and Participation Assessment with Recombined Tools—Objective.

Results:
Analysis of the primary study outcome at 6 weeks after initiation of treatment for the AT group did not demonstrate that self-monitoring was effective in decreasing ED as compared to the WLC group. Brief support calls made weekly to promote compliance with self-monitoring were effective in achieving the target number of self-assessments. About 80% of support calls lasted less than 5 minutes. Greater ED was associated with lower life satisfaction and lower participation indicating the importance of addressing ED in persons with TBI.

Conclusion:
Additional work is needed to develop nontraditional interventions to circumvent barriers that prevent persons with TBI from accessing care for ED. Brief support calls may be an effective, low-cost intervention to improve compliance with self-monitoring or self-management interventions.
Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications
Authors: Restrepo David , Wu Chenwei , Cajas Sebastián Andrés , Nakayama Luis Filipe , Celi Leo Anthony , López Diego M 
Published: June 2024

AbstractObjectiveLarge-scale multi-modal deep learning models and datasets have revolutionized various domains such as healthcare, underscoring the critical role of computational power. However, in resource-constrained regions like Low and Middle-Income Countries (LMICs), GPU and data access is limited, leaving many dependent solely on CPUs. To address this, we advocate leveraging vector embeddings for flexible and efficient computational methodologies, aiming to democratize multimodal deep learning across diverse contexts.Background and SignificanceOur paper investigates the computational efficiency and effectiveness of leveraging vector embeddings, extracted from single-modal foundation models and multi-modal Vision-Language Models (VLM), for multimodal deep learning in low-resource environments, particularly in health-care applications. Additionally, we propose an easy but effective inference-time method to enhance performance by further aligning image-text embeddings.Materials and MethodsBy comparing these approaches with traditional multimodal deep learning methods, we assess their impact on computational efficiency and model performance using accuracy, F1-score, inference time, training time, and memory usage across 3 medical modalities such as BRSET (ophthalmology), HAM10000 (dermatology), and SatelliteBench (public health).ResultsOur findings indicate that embeddings reduce computational demands without compromising the model’s performance, and show that our embedding alignment method improves the performance of the models in medical tasks.DiscussionThis research contributes to sustainable AI practices by optimizing computational resources in resource-constrained environments. It highlights the potential of embedding-based approaches for efficient multimodal learning.ConclusionVector embeddings democratize multimodal deep learning in LMICs, especially in healthcare. Our study showcases their effectiveness, enhancing AI adaptability in varied use cases.
Endogenously produced hydrogen cyanide serves as a novel mammalian gasotransmitter
Authors: Zuhra Karim , Petrosino Maria , Janickova Lucia , Ascenção Kelly , Vignane Thibaut , Petric Jovan , Khalaf Moustafa , Philipp Thilo M. , Ravani Stella , Anand Abhishek , Martins Vanessa , Santos Sidneia , Erdemir Serkan , Malkondu Sait , Sitek Barbara , Kelestemur Taha , Kieronska-Rudek Anna , Majtan Tomas , Filgueira Luis , Maric Darko , Chlopicki Stefan , Hoogewijs David , Haskó György , Papapetropoulos Andreas , Logue Brian A. , Boss Gerry R. , Filipovic Milos R. , Szabo Csaba 
Published: June 2024

AbstractSmall, gaseous molecules, known as gasotransmitters (NO, CO, H2S), are produced endogenously in mammalian cells and serve important biological roles. Hydrogen cyanide, traditionally considered a cytotoxic molecule in mammals, serves as an endogenous mediator in several plants and bacterial species. Here we show that low concentrations of cyanide are generated endogenously in mouse liver and human hepatocytes. Cyanide production is stimulated by glycine, occurs at the low pH of lysosomes and requires peroxidase activity. Cyanide, in turn, is detectable in several cellular compartments. Cyanide is also detectable basally in the blood of mice; its levels increase after treatment of the animals with glycine. Rhodanese activity regulates endogenous cyanide levels. Cyanide, when generated endogenously at an optimal level, exerts stimulatory effects on mitochondrial bioenergetics, cell metabolism and cell proliferation. Dysregulation of endogenous cyanide, either below or above optimal levels, impairs cellular bioenergetics. The regulatory effects of cyanide are in part mediated by posttranslational modification of cysteine residues via protein cyanylation; cyanylated protein residues can be detected basally, and increase after treatment with glycine. Controlled low-dose cyanide supplementation exhibits cytoprotective effects, as demonstrated in hypoxia and reoxygenation modelsin vitroandin vivo. However, pathologically elevated cyanide production, as demonstrated in nonketotic hyperglycinemia – an autosomal recessive disease of glycine metabolism – is deleterious to the cells.
Measurement of the Pion Form Factor with CMD-3 Detector and Its Implication to the Hadronic Contribution to Muon (
g−2
)
Authors: Ignatov F. V. , Akhmetshin R. R. , Amirkhanov A. N. , Anisenkov A. V. , Aulchenko V. M. , Bashtovoy N. S. , Berkaev D. E. , Bondar A. E. , Bragin A. V. , Eidelman S. I. , Epifanov D. A. , Epshteyn L. B. , Erofeev A. L. , Fedotovich G. V. , Gorkovenko A. O. , Grancagnolo F. J. , Grebenuk A. A. , Gribanov S. S. , Grigoriev D. N. , Ivanov V. L. , Karpov S. V. , Kasaev A. S. , Kazanin V. F. , Khazin B. I. , Kirpotin A. N. , Koop I. A. , Korobov A. A. , Kozyrev A. N. , Kozyrev E. A. , Krokovny P. P. , Kuzmenko A. E. , Kuzmin A. S. , Logashenko I. B. , Lukin P. A. , Lysenko A. P. , Mikhailov K. Yu. , Obraztsov I. V. , Okhapkin V. S. , Otboev A. V. , Perevedentsev E. A. , Pestov Yu. N. , Popov A. S. , Razuvaev G. P. , Rogovsky Yu. A. , Ruban A. A. , Ryskulov N. M. , Ryzhenenkov A. E. , Semenov A. V. , Senchenko A. I. , Shatunov P. Yu. , Shatunov Yu. M. , Shebalin V. E. , Shemyakin D. N. , Shwartz B. A. , Shwartz D. B. , Sibidanov A. L. , Solodov E. P. , Talyshev A. A. , Timoshenko M. V. , Titov V. M. , Tolmachev S. S. , Vorobiov A. I. , Yudin Yu. V. , Zemlyansky I. M. , Zhadan D. S. , Zharinov Yu. M. , Zubakin A. S. ,   CMD-3 Collaboration
Published: June 2024

The cross section of the process e+e−→π+π− has been measured in the center-of-mass energy range from 0.32 to 1.2 GeV with the CMD-3 detector at the electron-positron collider VEPP-2000. The measurement is based on an integrated luminosity of about 88  pb−1, of which 62  pb−1 represent a complete dataset collected by CMD-3 at center-of-mass energies below 1 GeV. In the dominant region near the ρ resonance a systematic uncertainty of 0.7% was achieved. The implications of the presented results for the evaluation of the hadronic contribution to the anomalous magnetic moment of the muon are discussed.

Published by the American Physical Society
2024
A novel similarity measure SF-IPF for CBKNN with implicit feedback data
Authors: Sivanaiah Rajalakshmi , T T Mirnalinee , Milton R Sakaya 
Published: June 2024

PurposeThe increasing popularity of music streaming services also increases the need to customize the services for each user to attract and retain customers. Most of the music streaming services will not have explicit ratings for songs; they will have only implicit feedback data, i.e user listening history. For efficient music recommendation, the preferences of the users have to be infered, which is a challenging task.Design/methodology/approachPreferences of the users can be identified from the users' listening history. In this paper, a hybrid music recommendation system is proposed that infers features from user's implicit feedback and uses the hybrid of content-based and collaborative filtering method to recommend songs. A Content Boosted K-Nearest Neighbours (CBKNN) filtering technique was proposed, which used the users' listening history, popularity of songs, song features, and songs of similar interested users for recommending songs. The song features are taken as content features. Song Frequency–Inverse Popularity Frequency (SF-IPF) metric is proposed to find the similarity among the neighbours in collaborative filtering. Million Song Dataset and Echo Nest Taste Profile Subset are used as data sets.FindingsThe proposed CBKNN technique with SF-IPF similarity measure to identify similar interest neighbours performs better than other machine learning techniques like linear regression, decision trees, random forest, support vector machines, XGboost and Adaboost. The performance of proposed SF-IPF was tested with other similarity metrics like Pearson and Cosine similarity measures, in which SF-IPF results in better performance.Originality/valueThis method was devised to infer the user preferences from the implicit feedback data and it is converted as rating preferences. The importance of adding content features with collaborative information is analysed in hybrid filtering. A new similarity metric SF-IPF is formulated to identify the similarity between the users in collaborative filtering.
Investigation of the influence of plane strain constrained anisotropic plastic flow on the localized necking prediction
Authors: Şener Bora 
Published: June 2024

PurposeThe purpose of this manuscript is to investigate the influence of the satisfying of plane strain conditions on the prediction of the localized necking and to evaluate this effect by the different hardening models.Design/methodology/approachHigh-order anisotropic Drucker yield function, two types of hardening models, namely Hollomon power and Voce saturated, and the modified maximum force criterion (MMFC) are employed to predict the forming limit strains of AA3104-H19 alloy. Two identification methods, namely conventional and plane strain constrained, are applied and forming limit diagrams of the material are predicted by the incorporation of the anisotropic Drucker criterion and the hardening models into the MMFC for both calibration methods.FindingsThe enhancement in the prediction accuracy of the forming limits provided by the implementation of the plane strain constrained method is strongly dependent upon the selected hardening model type in the MMFC. About 18% improvement in the prediction of the biaxial limit strains is provided via Hollomon power law hardening, whereas the opposite result is occurred in case that the Voce saturated hardening law is used, and the predictions match with the experimental data only in the plane strain point and its surroundings.Originality/valueThe plane strain constrained identification method precisely predicts the location of the plane strain point on the yield locus and also any yield stress or anisotropy coefficient in the plane strain state is not required during the calibration, therefore the method can reduce the number of the required experiments for the constitutive characterization, and it will be attractive for both academy and industry. Additionally, the improvement in the prediction of the biaxial forming limits can be provided by applying of this method along with the appropriate hardening law.
Board gender diversity and corporate cash holdings: evidence from Australia
Authors: Ahmed Ammad , Hussain Atia 
Published: June 2024

Purpose
This study aims to understand the dynamics of Australian boards by focusing on the influence of board gender diversity on firms' cash holdings, within the distinctive Australian “if not, why not” regulatory framework.

Design/methodology/approach
The study uses ordinary least squares (OLS), fixed effects, generalized method of moments (GMM) and quasi-experimental methods such as difference-in-differences and propensity score matching to analyze the data.

Findings
There is a significantly negative relationship between board gender diversity and corporate cash holdings. This relationship is more pronounced when two or more female directors are on the board, supporting the critical mass theory. The results also reveal that the observed pattern can be attributed to the heightened monitoring intensity of female independent directors. Our quasi-experimental methods and pre-post analysis reveal that the observed effects are genuinely attributable to the increase in board gender diversity following regulatory reforms in Australia.

Practical implications
The findings provide practical insights for companies and policymakers, emphasizing the tangible effects of gender diversity on a company's financial strategy and corporate cash holdings. This information is crucial for organizations aiming to make informed decisions regarding board compositions and governance structures.

Originality/value
This research offers fresh insights into an important relationship between gender diversity on boards and corporate financial strategies in the Australian context, enriching the global conversation on the significance of gender diversity in corporate leadership.
Customer experience of video teller machine service: drivers and behavioural outcomes
Authors: Hoang Dung Phuong 
Published: June 2024

PurposeWe respond to the existing gaps regarding the drivers and outcomes of customer experience quality in the context of bank marketing by examining the interrelationships between distinct dimensions of VTM service quality, customer experience quality and customer loyalty.Design/methodology/approachThis research follows the Stimulus-Organism-Response theory to examine the antecedents and behavioural outcomes of customer experience quality during their journeys with video teller machine (VTM) services in the banking industry (also known as LiveBank or SmartBank). First, we conducted in-depth interviews with 34 bank customers to develop distinct measurement scales for customer experience quality and VTM service quality. A structural equation model linking six dimensions of VTM service quality, including tangibles, interaction quality, empathy, reliability, user’s friendliness and efficiency with the affective-sensory and intellectual values of customer experience quality and customer loyalty to VTM service is tested using data obtained from 405 individual customers.FindingsThe findings reveal that tangibles, interaction quality, reliability, user-friendliness and efficiency contribute to customer experience quality, which, in turn, drives customers’ intention to use VTM again. This research provides crucial theoretical background and practical implications to accelerate the penetration of VTM among bank customers and hence, foster financial inclusion among societies.Originality/valueThis paper presents the first research that empirically employs the value-based approach to measure customer experience quality in the banking service industry and examine its linkages to service quality and customer loyalty. Moreover, given the emergence of VTM, this is also among the pioneering studies which validate measurement scales for VTM service quality. This could be either reused or revisited for further research about VTM. Overall, our study contributes to the literature about customer retention in the banking service industry from not only the customers’ backwards-looking evaluations of service performance (i.e. service quality) but also their forward-looking evaluations (i.e. their own experience).
Recognising the need for biodiversity knowledge for engineering students – a case study in Norway
Authors: Cantillo Javier , Natchiyar B. , Michelsen Ottar 
Published: June 2024

Purpose
The purpose of this study is to understand how to improve the recognition of biodiversity knowledge for engineering students, using a case study in the context of Norway.

Design/methodology/approach
A case study based on an elective course for engineering students was carried out. The course is related to sustainability and also explicitly focuses on biodiversity topics and causality for loss of biodiversity. Data was collected through questionnaires to students to understand their motivations and perceptions about the course, and through interviews with study programme coordinators, to understand their perspectives regarding sustainability and biodiversity education for engineering programmes.

Findings
Three main conclusions are established: the best approach is to incorporate biodiversity content into existing courses, rather than having a specific course dedicated to biodiversity; more knowledge on biodiversity is seemingly increasing the understanding of its importance, thus, students should be exposed to these topics early in their studies; and some strategies to improve the current course are related to being more specific on how to deal with biodiversity in different contexts (such as working life and different industries), offering a higher number of examples, and linking biodiversity with other environmental impacts.

Originality/value
To the best of the authors’ knowledge, this study is the first to address the recognition of biodiversity knowledge in engineering programmes at a Norwegian university. The case study provides valuable insights that can be used to improve the integration of biodiversity knowledge into engineering programmes. Moreover, the methods used provide innovative and more reliable tools to better address the perceptions of stakeholders.
Reporting of and policy on greenhouse gas emissions from air travel at Canadian universities
Authors: Hall Derek 
Published: June 2024

Purpose
This paper aims to explore the extent and characteristics of Canadian university reporting of and policy regarding greenhouse gas emissions from air travel. It identifies current approaches’ details and limits and recommends improvements.

Design/methodology/approach
The study developed questions and considerations for analysing reporting and policy, reviewed university documents and webpages and contacted university staff.

Findings
Roughly 20% of Canadian universities report flight emissions. Figures vary by factors of over 100 even when normalized or expressed as a percentage of institutional emissions. Inter-university differences in data collection and emissions calculation practices shape reporting. Canadian university air travel emissions cannot be meaningfully compared. Few universities have flight emissions reduction policies; those that do leave relevant decisions to individuals. These approaches do not respond adequately to the emissions reduction challenge.

Originality/value
This study is the first comprehensive survey of university flight emissions reporting for any country. Its original framework highlights calculation’s complexities. It recommends standardizing reporting process information disclosure, reporting flight emissions as a range and faculty leadership of emissions reduction efforts.
Pre-owned housing price index forecasts using Gaussian process regressions
Authors: Jin Bingzi , Xu Xiaojie 
Published: June 2024

Purpose
The purpose of this study is to make property price forecasts for the Chinese housing market that has grown rapidly in the last 10 years, which is an important concern for both government and investors.

Design/methodology/approach
This study examines Gaussian process regressions with different kernels and basis functions for monthly pre-owned housing price index estimates for ten major Chinese cities from March 2012 to May 2020. The authors do this by using Bayesian optimizations and cross-validation.

Findings
The ten price indices from June 2019 to May 2020 are accurately predicted out-of-sample by the established models, which have relative root mean square errors ranging from 0.0458% to 0.3035% and correlation coefficients ranging from 93.9160% to 99.9653%.

Originality/value
The results might be applied separately or in conjunction with other forecasts to develop hypotheses regarding the patterns in the pre-owned residential real estate price index and conduct further policy research.